2025-08-14T21:28:10.7092552Z Current runner version: '2.328.0'
2025-08-14T21:28:10.7098523Z Runner name: 'i-0a9f0b7ba2fb10a0b'
2025-08-14T21:28:10.7099304Z Runner group name: 'Default'
2025-08-14T21:28:10.7100052Z Machine name: 'ip-10-1-34-130'
2025-08-14T21:28:10.7102544Z ##[group]GITHUB_TOKEN Permissions
2025-08-14T21:28:10.7104569Z Contents: read
2025-08-14T21:28:10.7105057Z Metadata: read
2025-08-14T21:28:10.7105531Z ##[endgroup]
2025-08-14T21:28:10.7107375Z Secret source: Actions
2025-08-14T21:28:10.7108158Z Prepare workflow directory
2025-08-14T21:28:10.7565166Z Prepare all required actions
2025-08-14T21:28:10.7598508Z Getting action download info
2025-08-14T21:28:11.1031658Z Download action repository 'pytorch/test-infra@main' (SHA:83f58f391e939c10dcb8cb6d745e4cefa3b98a84)
2025-08-14T21:28:13.4422731Z Download action repository 'pytorch/pytorch@main' (SHA:3be70dc30e893b552fc0f23ca06cd8f7949b6d08)
2025-08-14T21:28:29.0970591Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065)
2025-08-14T21:28:29.4525252Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722)
2025-08-14T21:28:29.6696927Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076)
2025-08-14T21:28:29.8497434Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-08-14T21:28:30.1319444Z Getting action download info
2025-08-14T21:28:30.2719542Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955)
2025-08-14T21:28:30.5778106Z Getting action download info
2025-08-14T21:28:30.6916314Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-08-14T21:28:30.9106543Z Getting action download info
2025-08-14T21:28:31.0387582Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2025-08-14T21:28:31.3212396Z Getting action download info
2025-08-14T21:28:31.5228674Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (1fc683cf17c8c673044538d10266c00f92987be2)
2025-08-14T21:28:31.5232116Z ##[group] Inputs
2025-08-14T21:28:31.5232439Z   build-environment: linux-jammy-cuda12.8-py3.10-gcc11
2025-08-14T21:28:31.5234938Z   test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "distributed", "shard": 1, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "distributed", "shard": 2, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "distributed", "shard": 3, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "pr_time_benchmarks", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.metal.nvidia.gpu"}]}
2025-08-14T21:28:31.5237721Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:28:31.5238344Z   sync-tag: 
2025-08-14T21:28:31.5239236Z   timeout-minutes: 360
2025-08-14T21:28:31.5239462Z   use-gha: 
2025-08-14T21:28:31.5239642Z   dashboard-tag: 
2025-08-14T21:28:31.5239835Z   s3-bucket: gha-artifacts
2025-08-14T21:28:31.5240043Z   aws-role-to-assume: 
2025-08-14T21:28:31.5240828Z   disable-monitor: false
2025-08-14T21:28:31.5241265Z   monitor-log-interval: 5
2025-08-14T21:28:31.5241499Z   monitor-data-collect-interval: 1
2025-08-14T21:28:31.5241754Z ##[endgroup]
2025-08-14T21:28:31.5242283Z Complete job name: linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu)
2025-08-14T21:28:31.5801586Z A job started hook has been configured by the self-hosted runner administrator
2025-08-14T21:28:31.5894637Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh'
2025-08-14T21:28:31.5903561Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:28:31.5904109Z ##[endgroup]
2025-08-14T21:28:32.7848738Z Runner Type: lf.linux.g6.4xlarge.experimental.nvidia.gpu
2025-08-14T21:28:32.7849228Z Instance Type: g6.4xlarge
2025-08-14T21:28:32.7849446Z AMI Name: unknown
2025-08-14T21:28:32.7880667Z AMI ID: ami-05ffe3c48a9991133
2025-08-14T21:28:37.4135679Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main
2025-08-14T21:28:37.4136058Z with:
2025-08-14T21:28:37.4136584Z   github-secret: ***
2025-08-14T21:28:37.4137125Z   instructions: All testing is done inside the container, to start an interactive session run:
  docker exec -it $(docker container ps --format '{{.ID}}') bash

2025-08-14T21:28:37.4137689Z   activate-with-label: false
2025-08-14T21:28:37.4137908Z   label: with-ssh
2025-08-14T21:28:37.4138095Z   remove-existing-keys: true
2025-08-14T21:28:37.4138303Z   fail-silently: true
2025-08-14T21:28:37.4138502Z env:
2025-08-14T21:28:37.4138665Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:28:37.4138867Z ##[endgroup]
2025-08-14T21:28:37.5156965Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info.
2025-08-14T21:28:37.5158287Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2025-08-14T21:28:37.5292155Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main
2025-08-14T21:28:37.5292537Z with:
2025-08-14T21:28:37.5292703Z   no-sudo: true
2025-08-14T21:28:37.5292887Z   submodules: recursive
2025-08-14T21:28:37.5293106Z   fetch-depth: 0
2025-08-14T21:28:37.5293294Z env:
2025-08-14T21:28:37.5293449Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:28:37.5293640Z ##[endgroup]
2025-08-14T21:28:37.5365268Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-14T21:28:37.5366005Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-14T21:28:37.5377142Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:28:37.5377440Z env:
2025-08-14T21:28:37.5377639Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:28:37.5377870Z ##[endgroup]
2025-08-14T21:28:37.5468672Z ##[group]Run # Use all available CPUs for fetching
2025-08-14T21:28:37.5469002Z # Use all available CPUs for fetching
2025-08-14T21:28:37.5469259Z cd "${GITHUB_WORKSPACE}"
2025-08-14T21:28:37.5469519Z git config --global fetch.parallel 0
2025-08-14T21:28:37.5469822Z git config --global submodule.fetchJobs 0
2025-08-14T21:28:37.5470078Z 
2025-08-14T21:28:37.5470345Z # Clean workspace. The default checkout action should also do this, but
2025-08-14T21:28:37.5470690Z # do it here as well just in case
2025-08-14T21:28:37.5470937Z if [[ -d .git ]]; then
2025-08-14T21:28:37.5471162Z   if [ -z "${NO_SUDO}" ]; then
2025-08-14T21:28:37.5471394Z     sudo git clean -ffdx
2025-08-14T21:28:37.5471609Z   else
2025-08-14T21:28:37.5471796Z     git clean -ffdx
2025-08-14T21:28:37.5472000Z   fi
2025-08-14T21:28:37.5472163Z fi
2025-08-14T21:28:37.5478298Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:28:37.5478594Z env:
2025-08-14T21:28:37.5478833Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:28:37.5479067Z   NO_SUDO: true
2025-08-14T21:28:37.5479241Z ##[endgroup]
2025-08-14T21:28:37.5603901Z ##[group]Run actions/checkout@v4
2025-08-14T21:28:37.5604332Z with:
2025-08-14T21:28:37.5604523Z   ref: 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:28:37.5604767Z   fetch-depth: 0
2025-08-14T21:28:37.5604956Z   submodules: recursive
2025-08-14T21:28:37.5605152Z   show-progress: false
2025-08-14T21:28:37.5605345Z   repository: pytorch/pytorch
2025-08-14T21:28:37.5605647Z   token: ***
2025-08-14T21:28:37.5605814Z   ssh-strict: true
2025-08-14T21:28:37.5605997Z   ssh-user: git
2025-08-14T21:28:37.5606179Z   persist-credentials: true
2025-08-14T21:28:37.5606380Z   clean: true
2025-08-14T21:28:37.5606563Z   sparse-checkout-cone-mode: true
2025-08-14T21:28:37.5606789Z   fetch-tags: false
2025-08-14T21:28:37.5606957Z   lfs: false
2025-08-14T21:28:37.5607122Z   set-safe-directory: true
2025-08-14T21:28:37.5607319Z env:
2025-08-14T21:28:37.5607484Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:28:37.5607676Z ##[endgroup]
2025-08-14T21:28:37.6586281Z Syncing repository: pytorch/pytorch
2025-08-14T21:28:37.6587593Z ##[group]Getting Git version info
2025-08-14T21:28:37.6588034Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-08-14T21:28:37.6588581Z [command]/usr/bin/git version
2025-08-14T21:28:37.6588809Z git version 2.47.1
2025-08-14T21:28:37.6600759Z ##[endgroup]
2025-08-14T21:28:37.6609430Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/6aeb10ef-59df-4f31-8709-b3db239663b5/.gitconfig'
2025-08-14T21:28:37.6632072Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/6aeb10ef-59df-4f31-8709-b3db239663b5' before making global git config changes
2025-08-14T21:28:37.6633681Z Adding repository directory to the temporary git global config as a safe directory
2025-08-14T21:28:37.6639498Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-14T21:28:37.6672185Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-08-14T21:28:37.6675113Z ##[group]Initializing the repository
2025-08-14T21:28:37.6678443Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-14T21:28:37.6713651Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-08-14T21:28:37.6714225Z hint: is subject to change. To configure the initial branch name to use in all
2025-08-14T21:28:37.6714745Z hint: of your new repositories, which will suppress this warning, call:
2025-08-14T21:28:37.6715373Z hint:
2025-08-14T21:28:37.6715686Z hint: 	git config --global init.defaultBranch <name>
2025-08-14T21:28:37.6716028Z hint:
2025-08-14T21:28:37.6716347Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-08-14T21:28:37.6716839Z hint: 'development'. The just-created branch can be renamed via this command:
2025-08-14T21:28:37.6717155Z hint:
2025-08-14T21:28:37.6717326Z hint: 	git branch -m <name>
2025-08-14T21:28:37.6717716Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/
2025-08-14T21:28:37.6723652Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch
2025-08-14T21:28:37.6750021Z ##[endgroup]
2025-08-14T21:28:37.6750457Z ##[group]Disabling automatic garbage collection
2025-08-14T21:28:37.6753263Z [command]/usr/bin/git config --local gc.auto 0
2025-08-14T21:28:37.6779218Z ##[endgroup]
2025-08-14T21:28:37.6779601Z ##[group]Setting up auth
2025-08-14T21:28:37.6784440Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-08-14T21:28:37.6808465Z [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' || :"
2025-08-14T21:28:37.7115487Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-08-14T21:28:37.7140353Z [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' || :"
2025-08-14T21:28:37.7436274Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-08-14T21:28:37.7478940Z ##[endgroup]
2025-08-14T21:28:37.7479405Z ##[group]Fetching the repository
2025-08-14T21:28:37.7485655Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/*
2025-08-14T21:29:14.7636491Z From https://github.com/pytorch/pytorch
2025-08-14T21:29:14.7638720Z  * [new branch]              2.6.0.dev20241004+          -> origin/2.6.0.dev20241004+
2025-08-14T21:29:14.7639541Z  * [new branch]              5addvllmbuild               -> origin/5addvllmbuild
2025-08-14T21:29:14.7640222Z  * [new branch]              AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest
2025-08-14T21:29:14.7640851Z  * [new branch]              HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes
2025-08-14T21:29:14.7641412Z  * [new branch]              JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops
2025-08-14T21:29:14.7642083Z  * [new branch]              PR-AOTInductorNoneBug       -> origin/PR-AOTInductorNoneBug
2025-08-14T21:29:14.7642692Z  * [new branch]              PR-AOTInductorNoneBugFix    -> origin/PR-AOTInductorNoneBugFix
2025-08-14T21:29:14.7644231Z  * [new branch]              PR-FixConfigsIssue          -> origin/PR-FixConfigsIssue
2025-08-14T21:29:14.7645563Z  * [new branch]              PR-NoneBugFix-viable        -> origin/PR-NoneBugFix-viable
2025-08-14T21:29:14.7647089Z  * [new branch]              PR-ResetToZero              -> origin/PR-ResetToZero
2025-08-14T21:29:14.7648991Z  * [new branch]              Update-Flash-Packaging      -> origin/Update-Flash-Packaging
2025-08-14T21:29:14.7650609Z  * [new branch]              add-missing-args-normalization -> origin/add-missing-args-normalization
2025-08-14T21:29:14.7673150Z  * [new branch]              add-user-guide-structure    -> origin/add-user-guide-structure
2025-08-14T21:29:14.7673882Z  * [new branch]              addVllmPin                  -> origin/addVllmPin
2025-08-14T21:29:14.7674438Z  * [new branch]              add_windows_testing_back    -> origin/add_windows_testing_back
2025-08-14T21:29:14.7674861Z  * [new branch]              addbuildvllm                -> origin/addbuildvllm
2025-08-14T21:29:14.7675268Z  * [new branch]              addmm-heuristic             -> origin/addmm-heuristic
2025-08-14T21:29:14.7675659Z  * [new branch]              addsimde                    -> origin/addsimde
2025-08-14T21:29:14.7676047Z  * [new branch]              addvllpinnedfile            -> origin/addvllpinnedfile
2025-08-14T21:29:14.7676579Z  * [new branch]              adi/acl_upgrade             -> origin/adi/acl_upgrade
2025-08-14T21:29:14.7676978Z  * [new branch]              adi/skip_slow_tests         -> origin/adi/skip_slow_tests
2025-08-14T21:29:14.7677372Z  * [new branch]              adi/test                    -> origin/adi/test
2025-08-14T21:29:14.7677731Z  * [new branch]              adi/test_bgemm              -> origin/adi/test_bgemm
2025-08-14T21:29:14.7678108Z  * [new branch]              adi/test_fusions            -> origin/adi/test_fusions
2025-08-14T21:29:14.7678497Z  * [new branch]              adi/test_onednn_v3.9        -> origin/adi/test_onednn_v3.9
2025-08-14T21:29:14.7678935Z  * [new branch]              adi/test_presve_change      -> origin/adi/test_presve_change
2025-08-14T21:29:14.7679424Z  * [new branch]              adi/test_timm               -> origin/adi/test_timm
2025-08-14T21:29:14.7679810Z  * [new branch]              adi/testpresve_change       -> origin/adi/testpresve_change
2025-08-14T21:29:14.7680356Z  * [new branch]              aditew01/test/vec_bf16      -> origin/aditew01/test/vec_bf16
2025-08-14T21:29:14.7680912Z  * [new branch]              ah-globalfeedback-hook      -> origin/ah-globalfeedback-hook
2025-08-14T21:29:14.7682268Z  * [new branch]              albanD-patch-1              -> origin/albanD-patch-1
2025-08-14T21:29:14.7683983Z  * [new branch]              alt-disable                 -> origin/alt-disable
2025-08-14T21:29:14.7686322Z  * [new branch]              angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files
2025-08-14T21:29:14.7687681Z  * [new branch]              angelayi/aoti_inductor_fx   -> origin/angelayi/aoti_inductor_fx
2025-08-14T21:29:14.7689257Z  * [new branch]              angelayi/assert_tensor_metadata_device -> origin/angelayi/assert_tensor_metadata_device
2025-08-14T21:29:14.7690641Z  * [new branch]              angelayi/benchmark          -> origin/angelayi/benchmark
2025-08-14T21:29:14.7692089Z  * [new branch]              angelayi/benchmark2         -> origin/angelayi/benchmark2
2025-08-14T21:29:14.7694041Z  * [new branch]              angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization
2025-08-14T21:29:14.7695930Z  * [new branch]              angelayi/cpp_loader         -> origin/angelayi/cpp_loader
2025-08-14T21:29:14.7697776Z  * [new branch]              angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph
2025-08-14T21:29:14.7699288Z  * [new branch]              angelayi/customop           -> origin/angelayi/customop
2025-08-14T21:29:14.7700892Z  * [new branch]              angelayi/del_lib            -> origin/angelayi/del_lib
2025-08-14T21:29:14.7702402Z  * [new branch]              angelayi/docs               -> origin/angelayi/docs
2025-08-14T21:29:14.7704003Z  * [new branch]              angelayi/docs2              -> origin/angelayi/docs2
2025-08-14T21:29:14.7705536Z  * [new branch]              angelayi/fix_pt2            -> origin/angelayi/fix_pt2
2025-08-14T21:29:14.7707347Z  * [new branch]              angelayi/logging.bak        -> origin/angelayi/logging.bak
2025-08-14T21:29:14.7708717Z  * [new branch]              angelayi/logging2           -> origin/angelayi/logging2
2025-08-14T21:29:14.7710247Z  * [new branch]              angelayi/no_so_weight       -> origin/angelayi/no_so_weight
2025-08-14T21:29:14.7711927Z  * [new branch]              angelayi/pytree             -> origin/angelayi/pytree
2025-08-14T21:29:14.7713689Z  * [new branch]              angelayi/save_error         -> origin/angelayi/save_error
2025-08-14T21:29:14.7715267Z  * [new branch]              angelayi/scan_layers        -> origin/angelayi/scan_layers
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2025-08-14T21:29:15.5905026Z  * [new tag]                 ciflow/h100/160480          -> ciflow/h100/160480
2025-08-14T21:29:15.5906274Z  * [new tag]                 ciflow/h100/160614          -> ciflow/h100/160614
2025-08-14T21:29:15.5907622Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm/151845 -> ciflow/inductor-perf-test-nightly-rocm/151845
2025-08-14T21:29:15.5908708Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm/160538 -> ciflow/inductor-perf-test-nightly-rocm/160538
2025-08-14T21:29:15.5910709Z  * [new tag]                 ciflow/inductor-perf-test-nightly-x86-zen/156599 -> ciflow/inductor-perf-test-nightly-x86-zen/156599
2025-08-14T21:29:15.5912014Z  * [new tag]                 ciflow/inductor-periodic/160406 -> ciflow/inductor-periodic/160406
2025-08-14T21:29:15.5913027Z  * [new tag]                 ciflow/inductor-periodic/160538 -> ciflow/inductor-periodic/160538
2025-08-14T21:29:15.5914180Z  * [new tag]                 ciflow/inductor-rocm/151845 -> ciflow/inductor-rocm/151845
2025-08-14T21:29:15.5915131Z  * [new tag]                 ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158
2025-08-14T21:29:15.5916230Z  * [new tag]                 ciflow/inductor-rocm/160073 -> ciflow/inductor-rocm/160073
2025-08-14T21:29:15.5917166Z  * [new tag]                 ciflow/inductor-rocm/160538 -> ciflow/inductor-rocm/160538
2025-08-14T21:29:15.5918318Z  * [new tag]                 ciflow/inductor/134881      -> ciflow/inductor/134881
2025-08-14T21:29:15.5919323Z  * [new tag]                 ciflow/inductor/137400      -> ciflow/inductor/137400
2025-08-14T21:29:15.5920263Z  * [new tag]                 ciflow/inductor/144516      -> ciflow/inductor/144516
2025-08-14T21:29:15.5921204Z  * [new tag]                 ciflow/inductor/146506      -> ciflow/inductor/146506
2025-08-14T21:29:15.5922117Z  * [new tag]                 ciflow/inductor/147360      -> ciflow/inductor/147360
2025-08-14T21:29:15.5923331Z  * [new tag]                 ciflow/inductor/147990      -> ciflow/inductor/147990
2025-08-14T21:29:15.5924261Z  * [new tag]                 ciflow/inductor/148180      -> ciflow/inductor/148180
2025-08-14T21:29:15.5925204Z  * [new tag]                 ciflow/inductor/148328      -> ciflow/inductor/148328
2025-08-14T21:29:15.5926160Z  * [new tag]                 ciflow/inductor/148484      -> ciflow/inductor/148484
2025-08-14T21:29:15.5927122Z  * [new tag]                 ciflow/inductor/148492      -> ciflow/inductor/148492
2025-08-14T21:29:15.5928064Z  * [new tag]                 ciflow/inductor/150302      -> ciflow/inductor/150302
2025-08-14T21:29:15.5929324Z  * [new tag]                 ciflow/inductor/151845      -> ciflow/inductor/151845
2025-08-14T21:29:15.5930854Z  * [new tag]                 ciflow/inductor/152198      -> ciflow/inductor/152198
2025-08-14T21:29:15.5932110Z  * [new tag]                 ciflow/inductor/152624      -> ciflow/inductor/152624
2025-08-14T21:29:15.5933128Z  * [new tag]                 ciflow/inductor/153966      -> ciflow/inductor/153966
2025-08-14T21:29:15.5934156Z  * [new tag]                 ciflow/inductor/154193      -> ciflow/inductor/154193
2025-08-14T21:29:15.5935341Z  * [new tag]                 ciflow/inductor/154650      -> ciflow/inductor/154650
2025-08-14T21:29:15.5936439Z  * [new tag]                 ciflow/inductor/154694      -> ciflow/inductor/154694
2025-08-14T21:29:15.5937455Z  * [new tag]                 ciflow/inductor/155072      -> ciflow/inductor/155072
2025-08-14T21:29:15.5938462Z  * [new tag]                 ciflow/inductor/155152      -> ciflow/inductor/155152
2025-08-14T21:29:15.5939628Z  * [new tag]                 ciflow/inductor/155153      -> ciflow/inductor/155153
2025-08-14T21:29:15.5940442Z  * [new tag]                 ciflow/inductor/155154      -> ciflow/inductor/155154
2025-08-14T21:29:15.5941567Z  * [new tag]                 ciflow/inductor/155501      -> ciflow/inductor/155501
2025-08-14T21:29:15.5942578Z  * [new tag]                 ciflow/inductor/155502      -> ciflow/inductor/155502
2025-08-14T21:29:15.5943625Z  * [new tag]                 ciflow/inductor/155503      -> ciflow/inductor/155503
2025-08-14T21:29:15.5944825Z  * [new tag]                 ciflow/inductor/155504      -> ciflow/inductor/155504
2025-08-14T21:29:15.5945873Z  * [new tag]                 ciflow/inductor/155557      -> ciflow/inductor/155557
2025-08-14T21:29:15.5946899Z  * [new tag]                 ciflow/inductor/155608      -> ciflow/inductor/155608
2025-08-14T21:29:15.5948012Z  * [new tag]                 ciflow/inductor/155923      -> ciflow/inductor/155923
2025-08-14T21:29:15.5949018Z  * [new tag]                 ciflow/inductor/155928      -> ciflow/inductor/155928
2025-08-14T21:29:15.5950134Z  * [new tag]                 ciflow/inductor/155958      -> ciflow/inductor/155958
2025-08-14T21:29:15.5951174Z  * [new tag]                 ciflow/inductor/156049      -> ciflow/inductor/156049
2025-08-14T21:29:15.5952223Z  * [new tag]                 ciflow/inductor/156851      -> ciflow/inductor/156851
2025-08-14T21:29:15.5953217Z  * [new tag]                 ciflow/inductor/156967      -> ciflow/inductor/156967
2025-08-14T21:29:15.5954231Z  * [new tag]                 ciflow/inductor/157148      -> ciflow/inductor/157148
2025-08-14T21:29:15.5955230Z  * [new tag]                 ciflow/inductor/157149      -> ciflow/inductor/157149
2025-08-14T21:29:15.5956306Z  * [new tag]                 ciflow/inductor/157152      -> ciflow/inductor/157152
2025-08-14T21:29:15.5957342Z  * [new tag]                 ciflow/inductor/157542      -> ciflow/inductor/157542
2025-08-14T21:29:15.5958353Z  * [new tag]                 ciflow/inductor/157572      -> ciflow/inductor/157572
2025-08-14T21:29:15.5959373Z  * [new tag]                 ciflow/inductor/157635      -> ciflow/inductor/157635
2025-08-14T21:29:15.5960415Z  * [new tag]                 ciflow/inductor/157685      -> ciflow/inductor/157685
2025-08-14T21:29:15.5961393Z  * [new tag]                 ciflow/inductor/157686      -> ciflow/inductor/157686
2025-08-14T21:29:15.5962554Z  * [new tag]                 ciflow/inductor/157689      -> ciflow/inductor/157689
2025-08-14T21:29:15.5963588Z  * [new tag]                 ciflow/inductor/157699      -> ciflow/inductor/157699
2025-08-14T21:29:15.5964753Z  * [new tag]                 ciflow/inductor/157743      -> ciflow/inductor/157743
2025-08-14T21:29:15.5965753Z  * [new tag]                 ciflow/inductor/157944      -> ciflow/inductor/157944
2025-08-14T21:29:15.5966746Z  * [new tag]                 ciflow/inductor/157971      -> ciflow/inductor/157971
2025-08-14T21:29:15.5967867Z  * [new tag]                 ciflow/inductor/157994      -> ciflow/inductor/157994
2025-08-14T21:29:15.5968911Z  * [new tag]                 ciflow/inductor/158061      -> ciflow/inductor/158061
2025-08-14T21:29:15.5969984Z  * [new tag]                 ciflow/inductor/158091      -> ciflow/inductor/158091
2025-08-14T21:29:15.5971498Z  * [new tag]                 ciflow/inductor/158097      -> ciflow/inductor/158097
2025-08-14T21:29:15.5972524Z  * [new tag]                 ciflow/inductor/158098      -> ciflow/inductor/158098
2025-08-14T21:29:15.5973566Z  * [new tag]                 ciflow/inductor/158104      -> ciflow/inductor/158104
2025-08-14T21:29:15.5974604Z  * [new tag]                 ciflow/inductor/158168      -> ciflow/inductor/158168
2025-08-14T21:29:15.5975742Z  * [new tag]                 ciflow/inductor/158250      -> ciflow/inductor/158250
2025-08-14T21:29:15.5976809Z  * [new tag]                 ciflow/inductor/158321      -> ciflow/inductor/158321
2025-08-14T21:29:15.5977926Z  * [new tag]                 ciflow/inductor/158609      -> ciflow/inductor/158609
2025-08-14T21:29:15.5978807Z  * [new tag]                 ciflow/inductor/158647      -> ciflow/inductor/158647
2025-08-14T21:29:15.5979865Z  * [new tag]                 ciflow/inductor/158914      -> ciflow/inductor/158914
2025-08-14T21:29:15.5981010Z  * [new tag]                 ciflow/inductor/158932      -> ciflow/inductor/158932
2025-08-14T21:29:15.5982045Z  * [new tag]                 ciflow/inductor/158987      -> ciflow/inductor/158987
2025-08-14T21:29:15.5983038Z  * [new tag]                 ciflow/inductor/159009      -> ciflow/inductor/159009
2025-08-14T21:29:15.5984053Z  * [new tag]                 ciflow/inductor/159010      -> ciflow/inductor/159010
2025-08-14T21:29:15.5985083Z  * [new tag]                 ciflow/inductor/159093      -> ciflow/inductor/159093
2025-08-14T21:29:15.5986123Z  * [new tag]                 ciflow/inductor/159158      -> ciflow/inductor/159158
2025-08-14T21:29:15.5987152Z  * [new tag]                 ciflow/inductor/159197      -> ciflow/inductor/159197
2025-08-14T21:29:15.5988343Z  * [new tag]                 ciflow/inductor/159274      -> ciflow/inductor/159274
2025-08-14T21:29:15.5989374Z  * [new tag]                 ciflow/inductor/159281      -> ciflow/inductor/159281
2025-08-14T21:29:15.5990393Z  * [new tag]                 ciflow/inductor/159329      -> ciflow/inductor/159329
2025-08-14T21:29:15.5991443Z  * [new tag]                 ciflow/inductor/159361      -> ciflow/inductor/159361
2025-08-14T21:29:15.5992492Z  * [new tag]                 ciflow/inductor/159365      -> ciflow/inductor/159365
2025-08-14T21:29:15.5993520Z  * [new tag]                 ciflow/inductor/159366      -> ciflow/inductor/159366
2025-08-14T21:29:15.5994541Z  * [new tag]                 ciflow/inductor/159367      -> ciflow/inductor/159367
2025-08-14T21:29:15.5995573Z  * [new tag]                 ciflow/inductor/159368      -> ciflow/inductor/159368
2025-08-14T21:29:15.5996722Z  * [new tag]                 ciflow/inductor/159473      -> ciflow/inductor/159473
2025-08-14T21:29:15.5997730Z  * [new tag]                 ciflow/inductor/159483      -> ciflow/inductor/159483
2025-08-14T21:29:15.5998770Z  * [new tag]                 ciflow/inductor/159508      -> ciflow/inductor/159508
2025-08-14T21:29:15.5999818Z  * [new tag]                 ciflow/inductor/159523      -> ciflow/inductor/159523
2025-08-14T21:29:15.6000850Z  * [new tag]                 ciflow/inductor/159678      -> ciflow/inductor/159678
2025-08-14T21:29:15.6001927Z  * [new tag]                 ciflow/inductor/159691      -> ciflow/inductor/159691
2025-08-14T21:29:15.6003164Z  * [new tag]                 ciflow/inductor/159778      -> ciflow/inductor/159778
2025-08-14T21:29:15.6004279Z  * [new tag]                 ciflow/inductor/159786      -> ciflow/inductor/159786
2025-08-14T21:29:15.6005310Z  * [new tag]                 ciflow/inductor/159817      -> ciflow/inductor/159817
2025-08-14T21:29:15.6006394Z  * [new tag]                 ciflow/inductor/159842      -> ciflow/inductor/159842
2025-08-14T21:29:15.6007407Z  * [new tag]                 ciflow/inductor/159864      -> ciflow/inductor/159864
2025-08-14T21:29:15.6008446Z  * [new tag]                 ciflow/inductor/159865      -> ciflow/inductor/159865
2025-08-14T21:29:15.6009473Z  * [new tag]                 ciflow/inductor/159869      -> ciflow/inductor/159869
2025-08-14T21:29:15.6010550Z  * [new tag]                 ciflow/inductor/159875      -> ciflow/inductor/159875
2025-08-14T21:29:15.6011560Z  * [new tag]                 ciflow/inductor/159889      -> ciflow/inductor/159889
2025-08-14T21:29:15.6012842Z  * [new tag]                 ciflow/inductor/159902      -> ciflow/inductor/159902
2025-08-14T21:29:15.6014018Z  * [new tag]                 ciflow/inductor/159923      -> ciflow/inductor/159923
2025-08-14T21:29:15.6015181Z  * [new tag]                 ciflow/inductor/159944      -> ciflow/inductor/159944
2025-08-14T21:29:15.6016201Z  * [new tag]                 ciflow/inductor/160004      -> ciflow/inductor/160004
2025-08-14T21:29:15.6017381Z  * [new tag]                 ciflow/inductor/160080      -> ciflow/inductor/160080
2025-08-14T21:29:15.6018353Z  * [new tag]                 ciflow/inductor/160108      -> ciflow/inductor/160108
2025-08-14T21:29:15.6019369Z  * [new tag]                 ciflow/inductor/160109      -> ciflow/inductor/160109
2025-08-14T21:29:15.6020522Z  * [new tag]                 ciflow/inductor/160111      -> ciflow/inductor/160111
2025-08-14T21:29:15.6021497Z  * [new tag]                 ciflow/inductor/160113      -> ciflow/inductor/160113
2025-08-14T21:29:15.6022527Z  * [new tag]                 ciflow/inductor/160127      -> ciflow/inductor/160127
2025-08-14T21:29:15.6023570Z  * [new tag]                 ciflow/inductor/160131      -> ciflow/inductor/160131
2025-08-14T21:29:15.6024581Z  * [new tag]                 ciflow/inductor/160132      -> ciflow/inductor/160132
2025-08-14T21:29:15.6025583Z  * [new tag]                 ciflow/inductor/160136      -> ciflow/inductor/160136
2025-08-14T21:29:15.6026617Z  * [new tag]                 ciflow/inductor/160138      -> ciflow/inductor/160138
2025-08-14T21:29:15.6027669Z  * [new tag]                 ciflow/inductor/160151      -> ciflow/inductor/160151
2025-08-14T21:29:15.6028645Z  * [new tag]                 ciflow/inductor/160152      -> ciflow/inductor/160152
2025-08-14T21:29:15.6029693Z  * [new tag]                 ciflow/inductor/160154      -> ciflow/inductor/160154
2025-08-14T21:29:15.6030731Z  * [new tag]                 ciflow/inductor/160156      -> ciflow/inductor/160156
2025-08-14T21:29:15.6031905Z  * [new tag]                 ciflow/inductor/160161      -> ciflow/inductor/160161
2025-08-14T21:29:15.6033036Z  * [new tag]                 ciflow/inductor/160166      -> ciflow/inductor/160166
2025-08-14T21:29:15.6034069Z  * [new tag]                 ciflow/inductor/160168      -> ciflow/inductor/160168
2025-08-14T21:29:15.6035095Z  * [new tag]                 ciflow/inductor/160174      -> ciflow/inductor/160174
2025-08-14T21:29:15.6036114Z  * [new tag]                 ciflow/inductor/160181      -> ciflow/inductor/160181
2025-08-14T21:29:15.6037264Z  * [new tag]                 ciflow/inductor/160183      -> ciflow/inductor/160183
2025-08-14T21:29:15.6038569Z  * [new tag]                 ciflow/inductor/160190      -> ciflow/inductor/160190
2025-08-14T21:29:15.6040284Z  * [new tag]                 ciflow/inductor/160198      -> ciflow/inductor/160198
2025-08-14T21:29:15.6041369Z  * [new tag]                 ciflow/inductor/160201      -> ciflow/inductor/160201
2025-08-14T21:29:15.6042506Z  * [new tag]                 ciflow/inductor/160209      -> ciflow/inductor/160209
2025-08-14T21:29:15.6043754Z  * [new tag]                 ciflow/inductor/160218      -> ciflow/inductor/160218
2025-08-14T21:29:15.6044804Z  * [new tag]                 ciflow/inductor/160239      -> ciflow/inductor/160239
2025-08-14T21:29:15.6045808Z  * [new tag]                 ciflow/inductor/160250      -> ciflow/inductor/160250
2025-08-14T21:29:15.6046828Z  * [new tag]                 ciflow/inductor/160253      -> ciflow/inductor/160253
2025-08-14T21:29:15.6047859Z  * [new tag]                 ciflow/inductor/160266      -> ciflow/inductor/160266
2025-08-14T21:29:15.6048918Z  * [new tag]                 ciflow/inductor/160282      -> ciflow/inductor/160282
2025-08-14T21:29:15.6049914Z  * [new tag]                 ciflow/inductor/160298      -> ciflow/inductor/160298
2025-08-14T21:29:15.6050927Z  * [new tag]                 ciflow/inductor/160301      -> ciflow/inductor/160301
2025-08-14T21:29:15.6052061Z  * [new tag]                 ciflow/inductor/160310      -> ciflow/inductor/160310
2025-08-14T21:29:15.6053346Z  * [new tag]                 ciflow/inductor/160323      -> ciflow/inductor/160323
2025-08-14T21:29:15.6054615Z  * [new tag]                 ciflow/inductor/160324      -> ciflow/inductor/160324
2025-08-14T21:29:15.6055779Z  * [new tag]                 ciflow/inductor/160325      -> ciflow/inductor/160325
2025-08-14T21:29:15.6057031Z  * [new tag]                 ciflow/inductor/160326      -> ciflow/inductor/160326
2025-08-14T21:29:15.6058191Z  * [new tag]                 ciflow/inductor/160327      -> ciflow/inductor/160327
2025-08-14T21:29:15.6059269Z  * [new tag]                 ciflow/inductor/160328      -> ciflow/inductor/160328
2025-08-14T21:29:15.6060438Z  * [new tag]                 ciflow/inductor/160329      -> ciflow/inductor/160329
2025-08-14T21:29:15.6061644Z  * [new tag]                 ciflow/inductor/160351      -> ciflow/inductor/160351
2025-08-14T21:29:15.6062699Z  * [new tag]                 ciflow/inductor/160353      -> ciflow/inductor/160353
2025-08-14T21:29:15.6063714Z  * [new tag]                 ciflow/inductor/160362      -> ciflow/inductor/160362
2025-08-14T21:29:15.6064752Z  * [new tag]                 ciflow/inductor/160363      -> ciflow/inductor/160363
2025-08-14T21:29:15.6065799Z  * [new tag]                 ciflow/inductor/160364      -> ciflow/inductor/160364
2025-08-14T21:29:15.6066902Z  * [new tag]                 ciflow/inductor/160365      -> ciflow/inductor/160365
2025-08-14T21:29:15.6067929Z  * [new tag]                 ciflow/inductor/160366      -> ciflow/inductor/160366
2025-08-14T21:29:15.6068967Z  * [new tag]                 ciflow/inductor/160367      -> ciflow/inductor/160367
2025-08-14T21:29:15.6070034Z  * [new tag]                 ciflow/inductor/160368      -> ciflow/inductor/160368
2025-08-14T21:29:15.6071023Z  * [new tag]                 ciflow/inductor/160369      -> ciflow/inductor/160369
2025-08-14T21:29:15.6072046Z  * [new tag]                 ciflow/inductor/160371      -> ciflow/inductor/160371
2025-08-14T21:29:15.6073056Z  * [new tag]                 ciflow/inductor/160374      -> ciflow/inductor/160374
2025-08-14T21:29:15.6074197Z  * [new tag]                 ciflow/inductor/160375      -> ciflow/inductor/160375
2025-08-14T21:29:15.6075305Z  * [new tag]                 ciflow/inductor/160377      -> ciflow/inductor/160377
2025-08-14T21:29:15.6076368Z  * [new tag]                 ciflow/inductor/160380      -> ciflow/inductor/160380
2025-08-14T21:29:15.6077577Z  * [new tag]                 ciflow/inductor/160381      -> ciflow/inductor/160381
2025-08-14T21:29:15.6078872Z  * [new tag]                 ciflow/inductor/160383      -> ciflow/inductor/160383
2025-08-14T21:29:15.6080085Z  * [new tag]                 ciflow/inductor/160394      -> ciflow/inductor/160394
2025-08-14T21:29:15.6081172Z  * [new tag]                 ciflow/inductor/160401      -> ciflow/inductor/160401
2025-08-14T21:29:15.6082295Z  * [new tag]                 ciflow/inductor/160402      -> ciflow/inductor/160402
2025-08-14T21:29:15.6083366Z  * [new tag]                 ciflow/inductor/160403      -> ciflow/inductor/160403
2025-08-14T21:29:15.6084409Z  * [new tag]                 ciflow/inductor/160424      -> ciflow/inductor/160424
2025-08-14T21:29:15.6085459Z  * [new tag]                 ciflow/inductor/160426      -> ciflow/inductor/160426
2025-08-14T21:29:15.6086676Z  * [new tag]                 ciflow/inductor/160431      -> ciflow/inductor/160431
2025-08-14T21:29:15.6087743Z  * [new tag]                 ciflow/inductor/160448      -> ciflow/inductor/160448
2025-08-14T21:29:15.6088805Z  * [new tag]                 ciflow/inductor/160450      -> ciflow/inductor/160450
2025-08-14T21:29:15.6089846Z  * [new tag]                 ciflow/inductor/160455      -> ciflow/inductor/160455
2025-08-14T21:29:15.6091007Z  * [new tag]                 ciflow/inductor/160456      -> ciflow/inductor/160456
2025-08-14T21:29:15.6092162Z  * [new tag]                 ciflow/inductor/160461      -> ciflow/inductor/160461
2025-08-14T21:29:15.6093209Z  * [new tag]                 ciflow/inductor/160462      -> ciflow/inductor/160462
2025-08-14T21:29:15.6094253Z  * [new tag]                 ciflow/inductor/160467      -> ciflow/inductor/160467
2025-08-14T21:29:15.6095306Z  * [new tag]                 ciflow/inductor/160470      -> ciflow/inductor/160470
2025-08-14T21:29:15.6096303Z  * [new tag]                 ciflow/inductor/160473      -> ciflow/inductor/160473
2025-08-14T21:29:15.6097468Z  * [new tag]                 ciflow/inductor/160476      -> ciflow/inductor/160476
2025-08-14T21:29:15.6098425Z  * [new tag]                 ciflow/inductor/160480      -> ciflow/inductor/160480
2025-08-14T21:29:15.6099563Z  * [new tag]                 ciflow/inductor/160481      -> ciflow/inductor/160481
2025-08-14T21:29:15.6100647Z  * [new tag]                 ciflow/inductor/160482      -> ciflow/inductor/160482
2025-08-14T21:29:15.6101649Z  * [new tag]                 ciflow/inductor/160483      -> ciflow/inductor/160483
2025-08-14T21:29:15.6102683Z  * [new tag]                 ciflow/inductor/160485      -> ciflow/inductor/160485
2025-08-14T21:29:15.6103916Z  * [new tag]                 ciflow/inductor/160486      -> ciflow/inductor/160486
2025-08-14T21:29:15.6104976Z  * [new tag]                 ciflow/inductor/160503      -> ciflow/inductor/160503
2025-08-14T21:29:15.6106007Z  * [new tag]                 ciflow/inductor/160510      -> ciflow/inductor/160510
2025-08-14T21:29:15.6107058Z  * [new tag]                 ciflow/inductor/160527      -> ciflow/inductor/160527
2025-08-14T21:29:15.6108087Z  * [new tag]                 ciflow/inductor/160530      -> ciflow/inductor/160530
2025-08-14T21:29:15.6109194Z  * [new tag]                 ciflow/inductor/160531      -> ciflow/inductor/160531
2025-08-14T21:29:15.6110647Z  * [new tag]                 ciflow/inductor/160538      -> ciflow/inductor/160538
2025-08-14T21:29:15.6112285Z  * [new tag]                 ciflow/inductor/160539      -> ciflow/inductor/160539
2025-08-14T21:29:15.6115824Z  * [new tag]                 ciflow/inductor/160540      -> ciflow/inductor/160540
2025-08-14T21:29:15.6116897Z  * [new tag]                 ciflow/inductor/160548      -> ciflow/inductor/160548
2025-08-14T21:29:15.6117900Z  * [new tag]                 ciflow/inductor/160561      -> ciflow/inductor/160561
2025-08-14T21:29:15.6119074Z  * [new tag]                 ciflow/inductor/160576      -> ciflow/inductor/160576
2025-08-14T21:29:15.6120109Z  * [new tag]                 ciflow/inductor/160578      -> ciflow/inductor/160578
2025-08-14T21:29:15.6121257Z  * [new tag]                 ciflow/inductor/160580      -> ciflow/inductor/160580
2025-08-14T21:29:15.6122307Z  * [new tag]                 ciflow/inductor/160583      -> ciflow/inductor/160583
2025-08-14T21:29:15.6123567Z  * [new tag]                 ciflow/inductor/160589      -> ciflow/inductor/160589
2025-08-14T21:29:15.6124706Z  * [new tag]                 ciflow/inductor/160590      -> ciflow/inductor/160590
2025-08-14T21:29:15.6125953Z  * [new tag]                 ciflow/inductor/160592      -> ciflow/inductor/160592
2025-08-14T21:29:15.6126956Z  * [new tag]                 ciflow/inductor/160596      -> ciflow/inductor/160596
2025-08-14T21:29:15.6127957Z  * [new tag]                 ciflow/inductor/160601      -> ciflow/inductor/160601
2025-08-14T21:29:15.6129167Z  * [new tag]                 ciflow/inductor/160607      -> ciflow/inductor/160607
2025-08-14T21:29:15.6130436Z  * [new tag]                 ciflow/inductor/160608      -> ciflow/inductor/160608
2025-08-14T21:29:15.6131436Z  * [new tag]                 ciflow/inductor/160611      -> ciflow/inductor/160611
2025-08-14T21:29:15.6132494Z  * [new tag]                 ciflow/inductor/160614      -> ciflow/inductor/160614
2025-08-14T21:29:15.6133542Z  * [new tag]                 ciflow/inductor/160616      -> ciflow/inductor/160616
2025-08-14T21:29:15.6134616Z  * [new tag]                 ciflow/inductor/160619      -> ciflow/inductor/160619
2025-08-14T21:29:15.6135610Z  * [new tag]                 ciflow/inductor/160625      -> ciflow/inductor/160625
2025-08-14T21:29:15.6136658Z  * [new tag]                 ciflow/inductor/160635      -> ciflow/inductor/160635
2025-08-14T21:29:15.6137802Z  * [new tag]                 ciflow/inductor/160649      -> ciflow/inductor/160649
2025-08-14T21:29:15.6138912Z  * [new tag]                 ciflow/inductor/160658      -> ciflow/inductor/160658
2025-08-14T21:29:15.6139975Z  * [new tag]                 ciflow/inductor/160662      -> ciflow/inductor/160662
2025-08-14T21:29:15.6141097Z  * [new tag]                 ciflow/inductor/160668      -> ciflow/inductor/160668
2025-08-14T21:29:15.6142072Z  * [new tag]                 ciflow/inductor/160669      -> ciflow/inductor/160669
2025-08-14T21:29:15.6143098Z  * [new tag]                 ciflow/inductor/160670      -> ciflow/inductor/160670
2025-08-14T21:29:15.6144317Z  * [new tag]                 ciflow/inductor/160671      -> ciflow/inductor/160671
2025-08-14T21:29:15.6145465Z  * [new tag]                 ciflow/inductor/160677      -> ciflow/inductor/160677
2025-08-14T21:29:15.6146510Z  * [new tag]                 ciflow/inductor/160679      -> ciflow/inductor/160679
2025-08-14T21:29:15.6147998Z  * [new tag]                 ciflow/inductor/3b9a386     -> ciflow/inductor/3b9a386
2025-08-14T21:29:15.6149240Z  * [new tag]                 ciflow/inductor/3d4b92b     -> ciflow/inductor/3d4b92b
2025-08-14T21:29:15.6150432Z  * [new tag]                 ciflow/inductor/d224ac7     -> ciflow/inductor/d224ac7
2025-08-14T21:29:15.6151667Z  * [new tag]                 ciflow/linux-aarch64/147855 -> ciflow/linux-aarch64/147855
2025-08-14T21:29:15.6152600Z  * [new tag]                 ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994
2025-08-14T21:29:15.6153560Z  * [new tag]                 ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737
2025-08-14T21:29:15.6154494Z  * [new tag]                 ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078
2025-08-14T21:29:15.6155443Z  * [new tag]                 ciflow/linux-aarch64/160299 -> ciflow/linux-aarch64/160299
2025-08-14T21:29:15.6156427Z  * [new tag]                 ciflow/linux-aarch64/160301 -> ciflow/linux-aarch64/160301
2025-08-14T21:29:15.6157594Z  * [new tag]                 ciflow/mps/155923           -> ciflow/mps/155923
2025-08-14T21:29:15.6158543Z  * [new tag]                 ciflow/mps/157553           -> ciflow/mps/157553
2025-08-14T21:29:15.6159498Z  * [new tag]                 ciflow/mps/157635           -> ciflow/mps/157635
2025-08-14T21:29:15.6160460Z  * [new tag]                 ciflow/mps/160541           -> ciflow/mps/160541
2025-08-14T21:29:15.6161647Z  * [new tag]                 ciflow/nightly/156049       -> ciflow/nightly/156049
2025-08-14T21:29:15.6162802Z  * [new tag]                 ciflow/nightly/158104       -> ciflow/nightly/158104
2025-08-14T21:29:15.6163889Z  * [new tag]                 ciflow/op-benchmark/157994  -> ciflow/op-benchmark/157994
2025-08-14T21:29:15.6165097Z  * [new tag]                 ciflow/periodic-rocm-mi300/139971 -> ciflow/periodic-rocm-mi300/139971
2025-08-14T21:29:15.6165988Z  * [new tag]                 ciflow/periodic-rocm-mi300/160073 -> ciflow/periodic-rocm-mi300/160073
2025-08-14T21:29:15.6166990Z  * [new tag]                 ciflow/periodic-rocm-mi300/160538 -> ciflow/periodic-rocm-mi300/160538
2025-08-14T21:29:15.6168333Z  * [new tag]                 ciflow/periodic/054a2fd     -> ciflow/periodic/054a2fd
2025-08-14T21:29:15.6169402Z  * [new tag]                 ciflow/periodic/131296      -> ciflow/periodic/131296
2025-08-14T21:29:15.6170389Z  * [new tag]                 ciflow/periodic/139971      -> ciflow/periodic/139971
2025-08-14T21:29:15.6171353Z  * [new tag]                 ciflow/periodic/143959      -> ciflow/periodic/143959
2025-08-14T21:29:15.6172289Z  * [new tag]                 ciflow/periodic/154595      -> ciflow/periodic/154595
2025-08-14T21:29:15.6173258Z  * [new tag]                 ciflow/periodic/156703      -> ciflow/periodic/156703
2025-08-14T21:29:15.6174186Z  * [new tag]                 ciflow/periodic/160201      -> ciflow/periodic/160201
2025-08-14T21:29:15.6175196Z  * [new tag]                 ciflow/periodic/160424      -> ciflow/periodic/160424
2025-08-14T21:29:15.6176149Z  * [new tag]                 ciflow/periodic/160538      -> ciflow/periodic/160538
2025-08-14T21:29:15.6177987Z  * [new tag]                 ciflow/periodic/1febab2a89302464f6c7d69cfbef7a24c421ea65 -> ciflow/periodic/1febab2a89302464f6c7d69cfbef7a24c421ea65
2025-08-14T21:29:15.6179284Z  * [new tag]                 ciflow/periodic/2a6d37d     -> ciflow/periodic/2a6d37d
2025-08-14T21:29:15.6180613Z  * [new tag]                 ciflow/periodic/2ee22e435131369a7e4f8cc4732579acc29a941b -> ciflow/periodic/2ee22e435131369a7e4f8cc4732579acc29a941b
2025-08-14T21:29:15.6181568Z  * [new tag]                 ciflow/periodic/317eeb8     -> ciflow/periodic/317eeb8
2025-08-14T21:29:15.6182660Z  * [new tag]                 ciflow/periodic/3c32        -> ciflow/periodic/3c32
2025-08-14T21:29:15.6183889Z  * [new tag]                 ciflow/periodic/3e98831     -> ciflow/periodic/3e98831
2025-08-14T21:29:15.6185277Z  * [new tag]                 ciflow/periodic/4a773e1e867f28a8ff0b15203e5cd9548f74fcee -> ciflow/periodic/4a773e1e867f28a8ff0b15203e5cd9548f74fcee
2025-08-14T21:29:15.6186553Z  * [new tag]                 ciflow/periodic/5f5f508aa836a46dfe88857fb223049616b94e93 -> ciflow/periodic/5f5f508aa836a46dfe88857fb223049616b94e93
2025-08-14T21:29:15.6187680Z  * [new tag]                 ciflow/periodic/94512-point -> ciflow/periodic/94512-point
2025-08-14T21:29:15.6189125Z  * [new tag]                 ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519
2025-08-14T21:29:15.6190283Z  * [new tag]                 ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275
2025-08-14T21:29:15.6191552Z  * [new tag]                 ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761
2025-08-14T21:29:15.6193002Z  * [new tag]                 ciflow/periodic/d7114f05b10de8e6de81ffc567d63944c3117d51 -> ciflow/periodic/d7114f05b10de8e6de81ffc567d63944c3117d51
2025-08-14T21:29:15.6194033Z  * [new tag]                 ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12
2025-08-14T21:29:15.6195316Z  * [new tag]                 ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0
2025-08-14T21:29:15.6196628Z  * [new tag]                 ciflow/periodic/sha-ec5b83  -> ciflow/periodic/sha-ec5b83
2025-08-14T21:29:15.6197915Z  * [new tag]                 ciflow/rocm-mi300/151360    -> ciflow/rocm-mi300/151360
2025-08-14T21:29:15.6198852Z  * [new tag]                 ciflow/rocm-mi300/159158    -> ciflow/rocm-mi300/159158
2025-08-14T21:29:15.6199785Z  * [new tag]                 ciflow/rocm-mi300/160073    -> ciflow/rocm-mi300/160073
2025-08-14T21:29:15.6200931Z  * [new tag]                 ciflow/rocm-mi300/160468    -> ciflow/rocm-mi300/160468
2025-08-14T21:29:15.6201798Z  * [new tag]                 ciflow/rocm-mi300/160538    -> ciflow/rocm-mi300/160538
2025-08-14T21:29:15.6203273Z  * [new tag]                 ciflow/rocm-mi355/160215    -> ciflow/rocm-mi355/160215
2025-08-14T21:29:15.6204449Z  * [new tag]                 ciflow/rocm/148492          -> ciflow/rocm/148492
2025-08-14T21:29:15.6205425Z  * [new tag]                 ciflow/rocm/151360          -> ciflow/rocm/151360
2025-08-14T21:29:15.6206353Z  * [new tag]                 ciflow/rocm/151845          -> ciflow/rocm/151845
2025-08-14T21:29:15.6207432Z  * [new tag]                 ciflow/rocm/154864          -> ciflow/rocm/154864
2025-08-14T21:29:15.6208563Z  * [new tag]                 ciflow/rocm/156491          -> ciflow/rocm/156491
2025-08-14T21:29:15.6209518Z  * [new tag]                 ciflow/rocm/158219          -> ciflow/rocm/158219
2025-08-14T21:29:15.6210508Z  * [new tag]                 ciflow/rocm/158220          -> ciflow/rocm/158220
2025-08-14T21:29:15.6211427Z  * [new tag]                 ciflow/rocm/158224          -> ciflow/rocm/158224
2025-08-14T21:29:15.6212587Z  * [new tag]                 ciflow/rocm/159158          -> ciflow/rocm/159158
2025-08-14T21:29:15.6213545Z  * [new tag]                 ciflow/rocm/160215          -> ciflow/rocm/160215
2025-08-14T21:29:15.6214495Z  * [new tag]                 ciflow/rocm/160468          -> ciflow/rocm/160468
2025-08-14T21:29:15.6215781Z  * [new tag]                 ciflow/rocm/160538          -> ciflow/rocm/160538
2025-08-14T21:29:15.6216988Z  * [new tag]                 ciflow/s390/143959          -> ciflow/s390/143959
2025-08-14T21:29:15.6218668Z  * [new tag]                 ciflow/slow/01c7106         -> ciflow/slow/01c7106
2025-08-14T21:29:15.6219648Z  * [new tag]                 ciflow/slow/0577043         -> ciflow/slow/0577043
2025-08-14T21:29:15.6221076Z  * [new tag]                 ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym
2025-08-14T21:29:15.6221916Z  * [new tag]                 ciflow/slow/0e81104         -> ciflow/slow/0e81104
2025-08-14T21:29:15.6222921Z  * [new tag]                 ciflow/slow/154595          -> ciflow/slow/154595
2025-08-14T21:29:15.6224017Z  * [new tag]                 ciflow/slow/1732077         -> ciflow/slow/1732077
2025-08-14T21:29:15.6225140Z  * [new tag]                 ciflow/slow/187eb7c         -> ciflow/slow/187eb7c
2025-08-14T21:29:15.6226241Z  * [new tag]                 ciflow/slow/1faef89         -> ciflow/slow/1faef89
2025-08-14T21:29:15.6227650Z  * [new tag]                 ciflow/slow/3920ec1         -> ciflow/slow/3920ec1
2025-08-14T21:29:15.6228987Z  * [new tag]                 ciflow/slow/3b7c6b2         -> ciflow/slow/3b7c6b2
2025-08-14T21:29:15.6230183Z  * [new tag]                 ciflow/slow/59a3759         -> ciflow/slow/59a3759
2025-08-14T21:29:15.6231298Z  * [new tag]                 ciflow/slow/70ef0bb         -> ciflow/slow/70ef0bb
2025-08-14T21:29:15.6232493Z  * [new tag]                 ciflow/slow/788ff06         -> ciflow/slow/788ff06
2025-08-14T21:29:15.6233953Z  * [new tag]                 ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym
2025-08-14T21:29:15.6234874Z  * [new tag]                 ciflow/slow/9d85864         -> ciflow/slow/9d85864
2025-08-14T21:29:15.6236006Z  * [new tag]                 ciflow/slow/9ffad5b         -> ciflow/slow/9ffad5b
2025-08-14T21:29:15.6237173Z  * [new tag]                 ciflow/slow/a206e8b         -> ciflow/slow/a206e8b
2025-08-14T21:29:15.6238353Z  * [new tag]                 ciflow/slow/a837609         -> ciflow/slow/a837609
2025-08-14T21:29:15.6239536Z  * [new tag]                 ciflow/slow/af841f3         -> ciflow/slow/af841f3
2025-08-14T21:29:15.6241085Z  * [new tag]                 ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym
2025-08-14T21:29:15.6242131Z  * [new tag]                 ciflow/trunk/131296         -> ciflow/trunk/131296
2025-08-14T21:29:15.6243160Z  * [new tag]                 ciflow/trunk/137400         -> ciflow/trunk/137400
2025-08-14T21:29:15.6244087Z  * [new tag]                 ciflow/trunk/138996         -> ciflow/trunk/138996
2025-08-14T21:29:15.6245049Z  * [new tag]                 ciflow/trunk/139971         -> ciflow/trunk/139971
2025-08-14T21:29:15.6245964Z  * [new tag]                 ciflow/trunk/147360         -> ciflow/trunk/147360
2025-08-14T21:29:15.6246908Z  * [new tag]                 ciflow/trunk/147855         -> ciflow/trunk/147855
2025-08-14T21:29:15.6247847Z  * [new tag]                 ciflow/trunk/148180         -> ciflow/trunk/148180
2025-08-14T21:29:15.6248826Z  * [new tag]                 ciflow/trunk/148328         -> ciflow/trunk/148328
2025-08-14T21:29:15.6249754Z  * [new tag]                 ciflow/trunk/148492         -> ciflow/trunk/148492
2025-08-14T21:29:15.6250776Z  * [new tag]                 ciflow/trunk/150282         -> ciflow/trunk/150282
2025-08-14T21:29:15.6251733Z  * [new tag]                 ciflow/trunk/150302         -> ciflow/trunk/150302
2025-08-14T21:29:15.6253053Z  * [new tag]                 ciflow/trunk/151845         -> ciflow/trunk/151845
2025-08-14T21:29:15.6254348Z  * [new tag]                 ciflow/trunk/152624         -> ciflow/trunk/152624
2025-08-14T21:29:15.6256263Z  * [new tag]                 ciflow/trunk/154193         -> ciflow/trunk/154193
2025-08-14T21:29:15.6257314Z  * [new tag]                 ciflow/trunk/154595         -> ciflow/trunk/154595
2025-08-14T21:29:15.6258404Z  * [new tag]                 ciflow/trunk/154650         -> ciflow/trunk/154650
2025-08-14T21:29:15.6259483Z  * [new tag]                 ciflow/trunk/154694         -> ciflow/trunk/154694
2025-08-14T21:29:15.6260349Z  * [new tag]                 ciflow/trunk/155958         -> ciflow/trunk/155958
2025-08-14T21:29:15.6261453Z  * [new tag]                 ciflow/trunk/156049         -> ciflow/trunk/156049
2025-08-14T21:29:15.6262471Z  * [new tag]                 ciflow/trunk/156703         -> ciflow/trunk/156703
2025-08-14T21:29:15.6263476Z  * [new tag]                 ciflow/trunk/156851         -> ciflow/trunk/156851
2025-08-14T21:29:15.6264473Z  * [new tag]                 ciflow/trunk/157148         -> ciflow/trunk/157148
2025-08-14T21:29:15.6265575Z  * [new tag]                 ciflow/trunk/157152         -> ciflow/trunk/157152
2025-08-14T21:29:15.6266635Z  * [new tag]                 ciflow/trunk/157432         -> ciflow/trunk/157432
2025-08-14T21:29:15.6267602Z  * [new tag]                 ciflow/trunk/157685         -> ciflow/trunk/157685
2025-08-14T21:29:15.6268620Z  * [new tag]                 ciflow/trunk/157689         -> ciflow/trunk/157689
2025-08-14T21:29:15.6269615Z  * [new tag]                 ciflow/trunk/157699         -> ciflow/trunk/157699
2025-08-14T21:29:15.6270699Z  * [new tag]                 ciflow/trunk/157813         -> ciflow/trunk/157813
2025-08-14T21:29:15.6271678Z  * [new tag]                 ciflow/trunk/157994         -> ciflow/trunk/157994
2025-08-14T21:29:15.6272699Z  * [new tag]                 ciflow/trunk/158091         -> ciflow/trunk/158091
2025-08-14T21:29:15.6273694Z  * [new tag]                 ciflow/trunk/158104         -> ciflow/trunk/158104
2025-08-14T21:29:15.6274747Z  * [new tag]                 ciflow/trunk/158219         -> ciflow/trunk/158219
2025-08-14T21:29:15.6275819Z  * [new tag]                 ciflow/trunk/158220         -> ciflow/trunk/158220
2025-08-14T21:29:15.6276829Z  * [new tag]                 ciflow/trunk/158224         -> ciflow/trunk/158224
2025-08-14T21:29:15.6278021Z  * [new tag]                 ciflow/trunk/158529         -> ciflow/trunk/158529
2025-08-14T21:29:15.6279066Z  * [new tag]                 ciflow/trunk/158647         -> ciflow/trunk/158647
2025-08-14T21:29:15.6280063Z  * [new tag]                 ciflow/trunk/158810         -> ciflow/trunk/158810
2025-08-14T21:29:15.6281154Z  * [new tag]                 ciflow/trunk/158812         -> ciflow/trunk/158812
2025-08-14T21:29:15.6282218Z  * [new tag]                 ciflow/trunk/158863         -> ciflow/trunk/158863
2025-08-14T21:29:15.6283307Z  * [new tag]                 ciflow/trunk/158864         -> ciflow/trunk/158864
2025-08-14T21:29:15.6284296Z  * [new tag]                 ciflow/trunk/158883         -> ciflow/trunk/158883
2025-08-14T21:29:15.6285357Z  * [new tag]                 ciflow/trunk/158914         -> ciflow/trunk/158914
2025-08-14T21:29:15.6286365Z  * [new tag]                 ciflow/trunk/158965         -> ciflow/trunk/158965
2025-08-14T21:29:15.6287395Z  * [new tag]                 ciflow/trunk/158987         -> ciflow/trunk/158987
2025-08-14T21:29:15.6288529Z  * [new tag]                 ciflow/trunk/159033         -> ciflow/trunk/159033
2025-08-14T21:29:15.6289655Z  * [new tag]                 ciflow/trunk/159140         -> ciflow/trunk/159140
2025-08-14T21:29:15.6290623Z  * [new tag]                 ciflow/trunk/159158         -> ciflow/trunk/159158
2025-08-14T21:29:15.6291651Z  * [new tag]                 ciflow/trunk/159553         -> ciflow/trunk/159553
2025-08-14T21:29:15.6292673Z  * [new tag]                 ciflow/trunk/159562         -> ciflow/trunk/159562
2025-08-14T21:29:15.6293840Z  * [new tag]                 ciflow/trunk/159682         -> ciflow/trunk/159682
2025-08-14T21:29:15.6294885Z  * [new tag]                 ciflow/trunk/159691         -> ciflow/trunk/159691
2025-08-14T21:29:15.6295918Z  * [new tag]                 ciflow/trunk/159842         -> ciflow/trunk/159842
2025-08-14T21:29:15.6296914Z  * [new tag]                 ciflow/trunk/159889         -> ciflow/trunk/159889
2025-08-14T21:29:15.6298027Z  * [new tag]                 ciflow/trunk/159923         -> ciflow/trunk/159923
2025-08-14T21:29:15.6298983Z  * [new tag]                 ciflow/trunk/160004         -> ciflow/trunk/160004
2025-08-14T21:29:15.6299976Z  * [new tag]                 ciflow/trunk/160113         -> ciflow/trunk/160113
2025-08-14T21:29:15.6300987Z  * [new tag]                 ciflow/trunk/160161         -> ciflow/trunk/160161
2025-08-14T21:29:15.6302012Z  * [new tag]                 ciflow/trunk/160168         -> ciflow/trunk/160168
2025-08-14T21:29:15.6303023Z  * [new tag]                 ciflow/trunk/160181         -> ciflow/trunk/160181
2025-08-14T21:29:15.6304028Z  * [new tag]                 ciflow/trunk/160183         -> ciflow/trunk/160183
2025-08-14T21:29:15.6305043Z  * [new tag]                 ciflow/trunk/160190         -> ciflow/trunk/160190
2025-08-14T21:29:15.6306063Z  * [new tag]                 ciflow/trunk/160198         -> ciflow/trunk/160198
2025-08-14T21:29:15.6307093Z  * [new tag]                 ciflow/trunk/160205         -> ciflow/trunk/160205
2025-08-14T21:29:15.6308245Z  * [new tag]                 ciflow/trunk/160219         -> ciflow/trunk/160219
2025-08-14T21:29:15.6309349Z  * [new tag]                 ciflow/trunk/160224         -> ciflow/trunk/160224
2025-08-14T21:29:15.6310356Z  * [new tag]                 ciflow/trunk/160250         -> ciflow/trunk/160250
2025-08-14T21:29:15.6311464Z  * [new tag]                 ciflow/trunk/160253         -> ciflow/trunk/160253
2025-08-14T21:29:15.6312834Z  * [new tag]                 ciflow/trunk/160335         -> ciflow/trunk/160335
2025-08-14T21:29:15.6313992Z  * [new tag]                 ciflow/trunk/160338         -> ciflow/trunk/160338
2025-08-14T21:29:15.6315020Z  * [new tag]                 ciflow/trunk/160383         -> ciflow/trunk/160383
2025-08-14T21:29:15.6316183Z  * [new tag]                 ciflow/trunk/160401         -> ciflow/trunk/160401
2025-08-14T21:29:15.6317234Z  * [new tag]                 ciflow/trunk/160403         -> ciflow/trunk/160403
2025-08-14T21:29:15.6318258Z  * [new tag]                 ciflow/trunk/160430         -> ciflow/trunk/160430
2025-08-14T21:29:15.6319257Z  * [new tag]                 ciflow/trunk/160431         -> ciflow/trunk/160431
2025-08-14T21:29:15.6320533Z  * [new tag]                 ciflow/trunk/160439         -> ciflow/trunk/160439
2025-08-14T21:29:15.6321352Z  * [new tag]                 ciflow/trunk/160449         -> ciflow/trunk/160449
2025-08-14T21:29:15.6322806Z  * [new tag]                 ciflow/trunk/160454         -> ciflow/trunk/160454
2025-08-14T21:29:15.6324280Z  * [new tag]                 ciflow/trunk/160468         -> ciflow/trunk/160468
2025-08-14T21:29:15.6325326Z  * [new tag]                 ciflow/trunk/160481         -> ciflow/trunk/160481
2025-08-14T21:29:15.6326337Z  * [new tag]                 ciflow/trunk/160485         -> ciflow/trunk/160485
2025-08-14T21:29:15.6327462Z  * [new tag]                 ciflow/trunk/160519         -> ciflow/trunk/160519
2025-08-14T21:29:15.6328567Z  * [new tag]                 ciflow/trunk/160527         -> ciflow/trunk/160527
2025-08-14T21:29:15.6329758Z  * [new tag]                 ciflow/trunk/160560         -> ciflow/trunk/160560
2025-08-14T21:29:15.6330798Z  * [new tag]                 ciflow/trunk/160578         -> ciflow/trunk/160578
2025-08-14T21:29:15.6331838Z  * [new tag]                 ciflow/trunk/160589         -> ciflow/trunk/160589
2025-08-14T21:29:15.6332839Z  * [new tag]                 ciflow/trunk/160592         -> ciflow/trunk/160592
2025-08-14T21:29:15.6333885Z  * [new tag]                 ciflow/trunk/160649         -> ciflow/trunk/160649
2025-08-14T21:29:15.6334885Z  * [new tag]                 ciflow/trunk/160656         -> ciflow/trunk/160656
2025-08-14T21:29:15.6336319Z  * [new tag]                 ciflow/unstable/123         -> ciflow/unstable/123
2025-08-14T21:29:15.6337504Z  * [new tag]                 ciflow/vllm/160116          -> ciflow/vllm/160116
2025-08-14T21:29:15.6338500Z  * [new tag]                 ciflow/vllm/160583          -> ciflow/vllm/160583
2025-08-14T21:29:15.6339555Z  * [new tag]                 ciflow/vllm/160619          -> ciflow/vllm/160619
2025-08-14T21:29:15.6340272Z  * [new tag]                 ciflow/vllm/160625          -> ciflow/vllm/160625
2025-08-14T21:29:15.6341333Z  * [new tag]                 ciflow/vllm/160627          -> ciflow/vllm/160627
2025-08-14T21:29:15.6342620Z  * [new tag]                 ciflow/win-arm64/156049     -> ciflow/win-arm64/156049
2025-08-14T21:29:15.6343563Z  * [new tag]                 ciflow/win-arm64/158104     -> ciflow/win-arm64/158104
2025-08-14T21:29:15.6344520Z  * [new tag]                 ciflow/win-arm64/159553     -> ciflow/win-arm64/159553
2025-08-14T21:29:15.6345449Z  * [new tag]                 ciflow/win-arm64/159562     -> ciflow/win-arm64/159562
2025-08-14T21:29:15.6346617Z  * [new tag]                 ciflow/win-arm64/159777     -> ciflow/win-arm64/159777
2025-08-14T21:29:15.6347539Z  * [new tag]                 ciflow/win-arm64/159780     -> ciflow/win-arm64/159780
2025-08-14T21:29:15.6348491Z  * [new tag]                 ciflow/win-arm64/159842     -> ciflow/win-arm64/159842
2025-08-14T21:29:15.6349418Z  * [new tag]                 ciflow/win-arm64/160250     -> ciflow/win-arm64/160250
2025-08-14T21:29:15.6350361Z  * [new tag]                 ciflow/win-arm64/160253     -> ciflow/win-arm64/160253
2025-08-14T21:29:15.6351307Z  * [new tag]                 ciflow/win-arm64/160454     -> ciflow/win-arm64/160454
2025-08-14T21:29:15.6352260Z  * [new tag]                 ciflow/win-arm64/160560     -> ciflow/win-arm64/160560
2025-08-14T21:29:15.6353445Z  * [new tag]                 ciflow/xpu/138996           -> ciflow/xpu/138996
2025-08-14T21:29:15.6354416Z  * [new tag]                 ciflow/xpu/139971           -> ciflow/xpu/139971
2025-08-14T21:29:15.6355555Z  * [new tag]                 ciflow/xpu/140972           -> ciflow/xpu/140972
2025-08-14T21:29:15.6356588Z  * [new tag]                 ciflow/xpu/143553           -> ciflow/xpu/143553
2025-08-14T21:29:15.6357614Z  * [new tag]                 ciflow/xpu/156272           -> ciflow/xpu/156272
2025-08-14T21:29:15.6358590Z  * [new tag]                 ciflow/xpu/156812           -> ciflow/xpu/156812
2025-08-14T21:29:15.6359499Z  * [new tag]                 ciflow/xpu/157699           -> ciflow/xpu/157699
2025-08-14T21:29:15.6360396Z  * [new tag]                 ciflow/xpu/157994           -> ciflow/xpu/157994
2025-08-14T21:29:15.6361368Z  * [new tag]                 ciflow/xpu/158336           -> ciflow/xpu/158336
2025-08-14T21:29:15.6362608Z  * [new tag]                 ciflow/xpu/158733           -> ciflow/xpu/158733
2025-08-14T21:29:15.6363581Z  * [new tag]                 ciflow/xpu/159033           -> ciflow/xpu/159033
2025-08-14T21:29:15.6364857Z  * [new tag]                 ciflow/xpu/159118           -> ciflow/xpu/159118
2025-08-14T21:29:15.6366151Z  * [new tag]                 ciflow/xpu/159140           -> ciflow/xpu/159140
2025-08-14T21:29:15.6367539Z  * [new tag]                 ciflow/xpu/159241           -> ciflow/xpu/159241
2025-08-14T21:29:15.6368561Z  * [new tag]                 ciflow/xpu/159473           -> ciflow/xpu/159473
2025-08-14T21:29:15.6369693Z  * [new tag]                 ciflow/xpu/159474           -> ciflow/xpu/159474
2025-08-14T21:29:15.6370691Z  * [new tag]                 ciflow/xpu/159553           -> ciflow/xpu/159553
2025-08-14T21:29:15.6371728Z  * [new tag]                 ciflow/xpu/159944           -> ciflow/xpu/159944
2025-08-14T21:29:15.6372932Z  * [new tag]                 ciflow/xpu/160062           -> ciflow/xpu/160062
2025-08-14T21:29:15.6374005Z  * [new tag]                 ciflow/xpu/160067           -> ciflow/xpu/160067
2025-08-14T21:29:15.6375132Z  * [new tag]                 ciflow/xpu/160158           -> ciflow/xpu/160158
2025-08-14T21:29:15.6376179Z  * [new tag]                 ciflow/xpu/160173           -> ciflow/xpu/160173
2025-08-14T21:29:15.6377216Z  * [new tag]                 ciflow/xpu/160183           -> ciflow/xpu/160183
2025-08-14T21:29:15.6378213Z  * [new tag]                 ciflow/xpu/160301           -> ciflow/xpu/160301
2025-08-14T21:29:15.6379333Z  * [new tag]                 ciflow/xpu/160403           -> ciflow/xpu/160403
2025-08-14T21:29:15.6380389Z  * [new tag]                 ciflow/xpu/160606           -> ciflow/xpu/160606
2025-08-14T21:29:15.6381447Z  * [new tag]                 cslpull75                   -> cslpull75
2025-08-14T21:29:15.6382512Z  * [new tag]                 cslpull76                   -> cslpull76
2025-08-14T21:29:15.6383536Z  * [new tag]                 cslpull77                   -> cslpull77
2025-08-14T21:29:15.6384568Z  * [new tag]                 cslpull78                   -> cslpull78
2025-08-14T21:29:15.6387089Z  * [new tag]                 cslpull79                   -> cslpull79
2025-08-14T21:29:15.6387381Z  * [new tag]                 cslpull80                   -> cslpull80
2025-08-14T21:29:15.6388452Z  * [new tag]                 cslpull81                   -> cslpull81
2025-08-14T21:29:15.6389494Z  * [new tag]                 cslpull82                   -> cslpull82
2025-08-14T21:29:15.6390687Z  * [new tag]                 cslpull83                   -> cslpull83
2025-08-14T21:29:15.6391496Z  * [new tag]                 cslpull84                   -> cslpull84
2025-08-14T21:29:15.6392798Z  * [new tag]                 cslpull85                   -> cslpull85
2025-08-14T21:29:15.6393818Z  * [new tag]                 cslpull86                   -> cslpull86
2025-08-14T21:29:15.6395084Z  * [new tag]                 cslpull87                   -> cslpull87
2025-08-14T21:29:15.6396238Z  * [new tag]                 cslpull88                   -> cslpull88
2025-08-14T21:29:15.6397178Z  * [new tag]                 cslpull89                   -> cslpull89
2025-08-14T21:29:15.6398186Z  * [new tag]                 cslpull90                   -> cslpull90
2025-08-14T21:29:15.6399705Z  * [new tag]                 cslpull91                   -> cslpull91
2025-08-14T21:29:15.6400752Z  * [new tag]                 cslpull92                   -> cslpull92
2025-08-14T21:29:15.6401904Z  * [new tag]                 flight_5                    -> flight_5
2025-08-14T21:29:15.6403138Z  * [new tag]                 flight_5.1                  -> flight_5.1
2025-08-14T21:29:15.6404248Z  * [new tag]                 flight_5.2                  -> flight_5.2
2025-08-14T21:29:15.6405413Z  * [new tag]                 flight_5.3                  -> flight_5.3
2025-08-14T21:29:15.6406467Z  * [new tag]                 forpull1                    -> forpull1
2025-08-14T21:29:15.6407824Z  * [new tag]                 malfet/tag-2ef5611          -> malfet/tag-2ef5611
2025-08-14T21:29:15.6409001Z  * [new tag]                 malfet/tag-317b1a0          -> malfet/tag-317b1a0
2025-08-14T21:29:15.6410075Z  * [new tag]                 malfet/tag-ec6f767          -> malfet/tag-ec6f767
2025-08-14T21:29:15.6411236Z  * [new tag]                 nightly-binary              -> nightly-binary
2025-08-14T21:29:15.6412450Z  * [new tag]                 sqzhang_flight4_plus        -> sqzhang_flight4_plus
2025-08-14T21:29:15.6413603Z  * [new tag]                 sqzhang_flight_3            -> sqzhang_flight_3
2025-08-14T21:29:15.6415105Z  * [new tag]                 trunk/01584d2a7d029c9749eb73678cf1dc313cc35df6 -> trunk/01584d2a7d029c9749eb73678cf1dc313cc35df6
2025-08-14T21:29:15.6416196Z  * [new tag]                 trunk/017259f9c65b6fad55fb9597d7077e2543eaae46 -> trunk/017259f9c65b6fad55fb9597d7077e2543eaae46
2025-08-14T21:29:15.6417592Z  * [new tag]                 trunk/01bcf9a40dea937637d2cdd530bed2652510943d -> trunk/01bcf9a40dea937637d2cdd530bed2652510943d
2025-08-14T21:29:15.6419264Z  * [new tag]                 trunk/01f66d08d93365015f4af005a252f439c4d4013a -> trunk/01f66d08d93365015f4af005a252f439c4d4013a
2025-08-14T21:29:15.6420346Z  * [new tag]                 trunk/03b254e49f2d4c092e6ca712e5702cf2895aa47e -> trunk/03b254e49f2d4c092e6ca712e5702cf2895aa47e
2025-08-14T21:29:15.6421462Z  * [new tag]                 trunk/05029ad1c30865d3f7e7fd13384db9d826e563eb -> trunk/05029ad1c30865d3f7e7fd13384db9d826e563eb
2025-08-14T21:29:15.6422976Z  * [new tag]                 trunk/05c19d1acecc01b0d2512364183058a6885b9869 -> trunk/05c19d1acecc01b0d2512364183058a6885b9869
2025-08-14T21:29:15.6423795Z  * [new tag]                 trunk/05c417715f791875fbf28cfc3fc86142de1a3206 -> trunk/05c417715f791875fbf28cfc3fc86142de1a3206
2025-08-14T21:29:15.6425095Z  * [new tag]                 trunk/06824f3c7268bb807a422b663047cd0900ddd126 -> trunk/06824f3c7268bb807a422b663047cd0900ddd126
2025-08-14T21:29:15.6425947Z  * [new tag]                 trunk/077cb389746a7d61cfc018aad2ba29a8aa195610 -> trunk/077cb389746a7d61cfc018aad2ba29a8aa195610
2025-08-14T21:29:15.6427290Z  * [new tag]                 trunk/089c4a1ba007ed4abb3e5e0eafd97b7584566057 -> trunk/089c4a1ba007ed4abb3e5e0eafd97b7584566057
2025-08-14T21:29:15.6428459Z  * [new tag]                 trunk/09381f5dacda7bbbfa361f5df76bde5cd309adc1 -> trunk/09381f5dacda7bbbfa361f5df76bde5cd309adc1
2025-08-14T21:29:15.6429589Z  * [new tag]                 trunk/0bd3af4fb87445f4de3a1f9b823e399c8b3cefde -> trunk/0bd3af4fb87445f4de3a1f9b823e399c8b3cefde
2025-08-14T21:29:15.6430714Z  * [new tag]                 trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4 -> trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4
2025-08-14T21:29:15.6431821Z  * [new tag]                 trunk/0d40ff3b496e68193bc16d5391fa2e3623709f81 -> trunk/0d40ff3b496e68193bc16d5391fa2e3623709f81
2025-08-14T21:29:15.6433001Z  * [new tag]                 trunk/0d71ca2c46753bb268bfdcf815c14415c122a289 -> trunk/0d71ca2c46753bb268bfdcf815c14415c122a289
2025-08-14T21:29:15.6434136Z  * [new tag]                 trunk/0d88593dd826544c9e7bd4aa615ef86847a78d2b -> trunk/0d88593dd826544c9e7bd4aa615ef86847a78d2b
2025-08-14T21:29:15.6435318Z  * [new tag]                 trunk/0e3e377bd5126cfcc69d70c4d77b352d3404cc11 -> trunk/0e3e377bd5126cfcc69d70c4d77b352d3404cc11
2025-08-14T21:29:15.6436502Z  * [new tag]                 trunk/0f3b10b8eebe68e3c75d473d499b87dfe14a2eca -> trunk/0f3b10b8eebe68e3c75d473d499b87dfe14a2eca
2025-08-14T21:29:15.6437779Z  * [new tag]                 trunk/101276f81b4d2a8c31bfd6796b986d4c1bfdf483 -> trunk/101276f81b4d2a8c31bfd6796b986d4c1bfdf483
2025-08-14T21:29:15.6438882Z  * [new tag]                 trunk/1028c5e2d50e121865bf98307e7c035f549a24b2 -> trunk/1028c5e2d50e121865bf98307e7c035f549a24b2
2025-08-14T21:29:15.6440162Z  * [new tag]                 trunk/10bc36fe840cb3510fab84d2ea22663b76702f1e -> trunk/10bc36fe840cb3510fab84d2ea22663b76702f1e
2025-08-14T21:29:15.6441248Z  * [new tag]                 trunk/10e3514c962b58cbbee994257872a626ff76d51b -> trunk/10e3514c962b58cbbee994257872a626ff76d51b
2025-08-14T21:29:15.6442413Z  * [new tag]                 trunk/1128f4c2a822cbe34a9d966306af15097179ffe1 -> trunk/1128f4c2a822cbe34a9d966306af15097179ffe1
2025-08-14T21:29:15.6443631Z  * [new tag]                 trunk/114a6c40434bfb9cfa5abc30e9e34d81300d743e -> trunk/114a6c40434bfb9cfa5abc30e9e34d81300d743e
2025-08-14T21:29:15.6444791Z  * [new tag]                 trunk/118bc97b14c24ac88a4b0c0750a9e7bf93154c76 -> trunk/118bc97b14c24ac88a4b0c0750a9e7bf93154c76
2025-08-14T21:29:15.6445893Z  * [new tag]                 trunk/1196bb1c2e4d5a7edc09f2260e3034132f0c6c91 -> trunk/1196bb1c2e4d5a7edc09f2260e3034132f0c6c91
2025-08-14T21:29:15.6447158Z  * [new tag]                 trunk/11a3565f1872bbad9c253a127e8d4ce7a1b40ec8 -> trunk/11a3565f1872bbad9c253a127e8d4ce7a1b40ec8
2025-08-14T21:29:15.6448334Z  * [new tag]                 trunk/15e49f61643e4c0eef420f0981609709ef55b848 -> trunk/15e49f61643e4c0eef420f0981609709ef55b848
2025-08-14T21:29:15.6449538Z  * [new tag]                 trunk/16d15445f8bd8740095b23de4af89d757af793ca -> trunk/16d15445f8bd8740095b23de4af89d757af793ca
2025-08-14T21:29:15.6450686Z  * [new tag]                 trunk/178515d0ff6833c8e9221482b2a650ab31e00019 -> trunk/178515d0ff6833c8e9221482b2a650ab31e00019
2025-08-14T21:29:15.6451902Z  * [new tag]                 trunk/182efe31dbe43376e7eef7338356aaf94d5bcabe -> trunk/182efe31dbe43376e7eef7338356aaf94d5bcabe
2025-08-14T21:29:15.6453182Z  * [new tag]                 trunk/194fcfcfbdad0add1a1b695321e31a576058f4cf -> trunk/194fcfcfbdad0add1a1b695321e31a576058f4cf
2025-08-14T21:29:15.6454242Z  * [new tag]                 trunk/195b5c2e27eb8f21cbc8ad1e90f42db5a8cfccca -> trunk/195b5c2e27eb8f21cbc8ad1e90f42db5a8cfccca
2025-08-14T21:29:15.6455412Z  * [new tag]                 trunk/198b5fd2d47fa3d5110ceba6827a3b18e0064014 -> trunk/198b5fd2d47fa3d5110ceba6827a3b18e0064014
2025-08-14T21:29:15.6456542Z  * [new tag]                 trunk/199e9abb6a366bbd27c39d1da7c3123b4eea9b5a -> trunk/199e9abb6a366bbd27c39d1da7c3123b4eea9b5a
2025-08-14T21:29:15.6457699Z  * [new tag]                 trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7 -> trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7
2025-08-14T21:29:15.6459022Z  * [new tag]                 trunk/1c2587119152cec3905647a47c65d3d26619c5a8 -> trunk/1c2587119152cec3905647a47c65d3d26619c5a8
2025-08-14T21:29:15.6460182Z  * [new tag]                 trunk/1c26c53851c212a7c90a325549a72f0571613a8c -> trunk/1c26c53851c212a7c90a325549a72f0571613a8c
2025-08-14T21:29:15.6461373Z  * [new tag]                 trunk/1c2cba17eab2b09d87142883da2bdbdbcf018613 -> trunk/1c2cba17eab2b09d87142883da2bdbdbcf018613
2025-08-14T21:29:15.6462558Z  * [new tag]                 trunk/1d80d697a269234b47ec7ede192faf3bb9b159e3 -> trunk/1d80d697a269234b47ec7ede192faf3bb9b159e3
2025-08-14T21:29:15.6463707Z  * [new tag]                 trunk/1ea688f9a2602fbcde32c0302b822526ca4219dc -> trunk/1ea688f9a2602fbcde32c0302b822526ca4219dc
2025-08-14T21:29:15.6464955Z  * [new tag]                 trunk/1f4057c11ac941fb324386ca594d0a6882185aad -> trunk/1f4057c11ac941fb324386ca594d0a6882185aad
2025-08-14T21:29:15.6466052Z  * [new tag]                 trunk/1fc683cf17c8c673044538d10266c00f92987be2 -> trunk/1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:29:15.6467101Z  * [new tag]                 trunk/1febab2a89302464f6c7d69cfbef7a24c421ea65 -> trunk/1febab2a89302464f6c7d69cfbef7a24c421ea65
2025-08-14T21:29:15.6468278Z  * [new tag]                 trunk/206c1eef6571f906c2792d899a09136b3fce9673 -> trunk/206c1eef6571f906c2792d899a09136b3fce9673
2025-08-14T21:29:15.6469473Z  * [new tag]                 trunk/20bdabbb3c5d6b118a94b2e045c777662563d5bb -> trunk/20bdabbb3c5d6b118a94b2e045c777662563d5bb
2025-08-14T21:29:15.6470596Z  * [new tag]                 trunk/21392c0e06ac2b2621950455975ca6332f0bf641 -> trunk/21392c0e06ac2b2621950455975ca6332f0bf641
2025-08-14T21:29:15.6471428Z  * [new tag]                 trunk/2247aa6d1d43e256255f5c74a781c3190a4387b6 -> trunk/2247aa6d1d43e256255f5c74a781c3190a4387b6
2025-08-14T21:29:15.6472597Z  * [new tag]                 trunk/2259dbed4e0d3f2a8174b5847fd0741aed42451d -> trunk/2259dbed4e0d3f2a8174b5847fd0741aed42451d
2025-08-14T21:29:15.6473719Z  * [new tag]                 trunk/231c72240d80091f099c95e326d3600cba866eee -> trunk/231c72240d80091f099c95e326d3600cba866eee
2025-08-14T21:29:15.6474761Z  * [new tag]                 trunk/24257f5bfaa37795f74d9f64c1b43584128d4b8c -> trunk/24257f5bfaa37795f74d9f64c1b43584128d4b8c
2025-08-14T21:29:15.6476308Z  * [new tag]                 trunk/24f43d0da7ad9c6e95a09a2fee610387728cc1cd -> trunk/24f43d0da7ad9c6e95a09a2fee610387728cc1cd
2025-08-14T21:29:15.6477455Z  * [new tag]                 trunk/2898d3f965e5cd9d02fc2ecdab7c580fd457fea9 -> trunk/2898d3f965e5cd9d02fc2ecdab7c580fd457fea9
2025-08-14T21:29:15.6478630Z  * [new tag]                 trunk/28ccc9e7247798980fe00a11bcd64a8016b5f227 -> trunk/28ccc9e7247798980fe00a11bcd64a8016b5f227
2025-08-14T21:29:15.6479835Z  * [new tag]                 trunk/29712314dd5cf500a8ea3d1c69483a3cb768ca72 -> trunk/29712314dd5cf500a8ea3d1c69483a3cb768ca72
2025-08-14T21:29:15.6481106Z  * [new tag]                 trunk/29d20d49f0b7f4e362e1cefdcdc4b5659969312c -> trunk/29d20d49f0b7f4e362e1cefdcdc4b5659969312c
2025-08-14T21:29:15.6482340Z  * [new tag]                 trunk/2c5e10a5fceb208b11c3d569ae02e348b5893b31 -> trunk/2c5e10a5fceb208b11c3d569ae02e348b5893b31
2025-08-14T21:29:15.6483512Z  * [new tag]                 trunk/2d0cdee394bccadcd0abe19dd4623ed978a331ad -> trunk/2d0cdee394bccadcd0abe19dd4623ed978a331ad
2025-08-14T21:29:15.6484796Z  * [new tag]                 trunk/2e4e5ab4be9e0aeffd9c49b5b2f9f820bd0895b1 -> trunk/2e4e5ab4be9e0aeffd9c49b5b2f9f820bd0895b1
2025-08-14T21:29:15.6485808Z  * [new tag]                 trunk/2ea40fba841b3af8103f332ba62e54f350ba9a51 -> trunk/2ea40fba841b3af8103f332ba62e54f350ba9a51
2025-08-14T21:29:15.6486904Z  * [new tag]                 trunk/2ee22e435131369a7e4f8cc4732579acc29a941b -> trunk/2ee22e435131369a7e4f8cc4732579acc29a941b
2025-08-14T21:29:15.6488061Z  * [new tag]                 trunk/2f4c2226175512af787725c4d5ad7313c60d4db1 -> trunk/2f4c2226175512af787725c4d5ad7313c60d4db1
2025-08-14T21:29:15.6489285Z  * [new tag]                 trunk/3008d985a8fc155eb89374afff50cb33a6bd10d5 -> trunk/3008d985a8fc155eb89374afff50cb33a6bd10d5
2025-08-14T21:29:15.6490403Z  * [new tag]                 trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2 -> trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2
2025-08-14T21:29:15.6491554Z  * [new tag]                 trunk/303c614f3df95ae2b659c5f6c1838b14e4776ce6 -> trunk/303c614f3df95ae2b659c5f6c1838b14e4776ce6
2025-08-14T21:29:15.6492939Z  * [new tag]                 trunk/305fa2239365ad17ac9c534a68bba8a149c42d67 -> trunk/305fa2239365ad17ac9c534a68bba8a149c42d67
2025-08-14T21:29:15.6494547Z  * [new tag]                 trunk/31c9ac4319c0cc2ed8c6be701c6ccf73f6cb4706 -> trunk/31c9ac4319c0cc2ed8c6be701c6ccf73f6cb4706
2025-08-14T21:29:15.6495746Z  * [new tag]                 trunk/32099961d588fc19ead8afe805d6b5108de75669 -> trunk/32099961d588fc19ead8afe805d6b5108de75669
2025-08-14T21:29:15.6496966Z  * [new tag]                 trunk/32e5e2f596d55bb9441d5d53f3c58bcb55828047 -> trunk/32e5e2f596d55bb9441d5d53f3c58bcb55828047
2025-08-14T21:29:15.6497923Z  * [new tag]                 trunk/334b38ccc4427b1d14981c48a3a0b92180d58225 -> trunk/334b38ccc4427b1d14981c48a3a0b92180d58225
2025-08-14T21:29:15.6499189Z  * [new tag]                 trunk/334ecbd4ffe11858cae7d23d1190ddb4777c2513 -> trunk/334ecbd4ffe11858cae7d23d1190ddb4777c2513
2025-08-14T21:29:15.6500353Z  * [new tag]                 trunk/33d94018668951611b318b7515ae96f04e48eac0 -> trunk/33d94018668951611b318b7515ae96f04e48eac0
2025-08-14T21:29:15.6501578Z  * [new tag]                 trunk/34358f335d95213d96b6cca6a83e7bf3af6a9fcb -> trunk/34358f335d95213d96b6cca6a83e7bf3af6a9fcb
2025-08-14T21:29:15.6502811Z  * [new tag]                 trunk/34ec5ed275f8aa875c80daa97b3e82af0b06f673 -> trunk/34ec5ed275f8aa875c80daa97b3e82af0b06f673
2025-08-14T21:29:15.6503866Z  * [new tag]                 trunk/355462e1278d818deb9ef4a184073d5b66074816 -> trunk/355462e1278d818deb9ef4a184073d5b66074816
2025-08-14T21:29:15.6508042Z  * [new tag]                 trunk/3626ba711b34397d1fbf0a9b1979f85cbf68b919 -> trunk/3626ba711b34397d1fbf0a9b1979f85cbf68b919
2025-08-14T21:29:15.6509215Z  * [new tag]                 trunk/36f46d082a4954921cb8493223f000f2aab79ed7 -> trunk/36f46d082a4954921cb8493223f000f2aab79ed7
2025-08-14T21:29:15.6510435Z  * [new tag]                 trunk/39aa3d1471549b7829c207d634dfdc1d26e346a2 -> trunk/39aa3d1471549b7829c207d634dfdc1d26e346a2
2025-08-14T21:29:15.6511616Z  * [new tag]                 trunk/3a562374401113187ce2566b87e3f1d87d7c53aa -> trunk/3a562374401113187ce2566b87e3f1d87d7c53aa
2025-08-14T21:29:15.6514558Z  * [new tag]                 trunk/3ac86e728dfaa7383ff7f865e9e7d33486188dae -> trunk/3ac86e728dfaa7383ff7f865e9e7d33486188dae
2025-08-14T21:29:15.6515568Z  * [new tag]                 trunk/3be70dc30e893b552fc0f23ca06cd8f7949b6d08 -> trunk/3be70dc30e893b552fc0f23ca06cd8f7949b6d08
2025-08-14T21:29:15.6516846Z  * [new tag]                 trunk/3cec82a7e9aea040a34dd7a2587ae6d3bd65dba0 -> trunk/3cec82a7e9aea040a34dd7a2587ae6d3bd65dba0
2025-08-14T21:29:15.6518034Z  * [new tag]                 trunk/3cf7b4024ef83e44e9ae223dbff7c7ab68240cb2 -> trunk/3cf7b4024ef83e44e9ae223dbff7c7ab68240cb2
2025-08-14T21:29:15.6519152Z  * [new tag]                 trunk/3ef2e1ef769582a82c6ddf150e9d11bf4bf1c44f -> trunk/3ef2e1ef769582a82c6ddf150e9d11bf4bf1c44f
2025-08-14T21:29:15.6520486Z  * [new tag]                 trunk/3f1636ebef9b45e8a3cb0eb20d327ee6acb74be0 -> trunk/3f1636ebef9b45e8a3cb0eb20d327ee6acb74be0
2025-08-14T21:29:15.6521585Z  * [new tag]                 trunk/3faee0a6318afcbbbb48687009a459214910d820 -> trunk/3faee0a6318afcbbbb48687009a459214910d820
2025-08-14T21:29:15.6522805Z  * [new tag]                 trunk/3fcd79e023da7156ac584992ebab29205d3b7881 -> trunk/3fcd79e023da7156ac584992ebab29205d3b7881
2025-08-14T21:29:15.6524046Z  * [new tag]                 trunk/3fe19a7a0af3f4d692af30476c320be18c7e8ae6 -> trunk/3fe19a7a0af3f4d692af30476c320be18c7e8ae6
2025-08-14T21:29:15.6525251Z  * [new tag]                 trunk/41673110cd7c5960824cc74a6fcaeda1a8bc7a23 -> trunk/41673110cd7c5960824cc74a6fcaeda1a8bc7a23
2025-08-14T21:29:15.6526488Z  * [new tag]                 trunk/4183d4ff3dcc1d87400326a9a7998c3f9e966f60 -> trunk/4183d4ff3dcc1d87400326a9a7998c3f9e966f60
2025-08-14T21:29:15.6527656Z  * [new tag]                 trunk/422bd6808bb98cbbac31d157d9c82ad11ba9732d -> trunk/422bd6808bb98cbbac31d157d9c82ad11ba9732d
2025-08-14T21:29:15.6528810Z  * [new tag]                 trunk/42e51cd4b3973a053fcfa80878a3f346fd158e9f -> trunk/42e51cd4b3973a053fcfa80878a3f346fd158e9f
2025-08-14T21:29:15.6530027Z  * [new tag]                 trunk/4416433c7c625127b7f975c92f8ec98ea4c67fd3 -> trunk/4416433c7c625127b7f975c92f8ec98ea4c67fd3
2025-08-14T21:29:15.6531140Z  * [new tag]                 trunk/45ba7ecda876685b083cbbe932450560c566826b -> trunk/45ba7ecda876685b083cbbe932450560c566826b
2025-08-14T21:29:15.6532524Z  * [new tag]                 trunk/47a1db823dfcdacdb99f317428fc3791a18c5812 -> trunk/47a1db823dfcdacdb99f317428fc3791a18c5812
2025-08-14T21:29:15.6533524Z  * [new tag]                 trunk/4a773e1e867f28a8ff0b15203e5cd9548f74fcee -> trunk/4a773e1e867f28a8ff0b15203e5cd9548f74fcee
2025-08-14T21:29:15.6534730Z  * [new tag]                 trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3 -> trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3
2025-08-14T21:29:15.6535872Z  * [new tag]                 trunk/4cde0acc0e4e795e1a12cbdd9b93c8c04c1fa05d -> trunk/4cde0acc0e4e795e1a12cbdd9b93c8c04c1fa05d
2025-08-14T21:29:15.6537127Z  * [new tag]                 trunk/4d419a74610c32b1372f8802dcc61893740a23cf -> trunk/4d419a74610c32b1372f8802dcc61893740a23cf
2025-08-14T21:29:15.6538364Z  * [new tag]                 trunk/4d5b3f2d5af7c8e4f41da4ffca53fafe8bb86235 -> trunk/4d5b3f2d5af7c8e4f41da4ffca53fafe8bb86235
2025-08-14T21:29:15.6539643Z  * [new tag]                 trunk/4e2ddb5db67617f9f5309c8bba0c17adc84cadbc -> trunk/4e2ddb5db67617f9f5309c8bba0c17adc84cadbc
2025-08-14T21:29:15.6540859Z  * [new tag]                 trunk/50a8c118754a6c5a46968f5c8e215ccba6831d42 -> trunk/50a8c118754a6c5a46968f5c8e215ccba6831d42
2025-08-14T21:29:15.6542051Z  * [new tag]                 trunk/50f23ff6f883db5021dd6bab4c146434f98dd15d -> trunk/50f23ff6f883db5021dd6bab4c146434f98dd15d
2025-08-14T21:29:15.6543217Z  * [new tag]                 trunk/515cb70367e84fcbad23fcc5b39eb1d7706df2aa -> trunk/515cb70367e84fcbad23fcc5b39eb1d7706df2aa
2025-08-14T21:29:15.6544427Z  * [new tag]                 trunk/53e39494958b7e2278cc8176f63636e812e8945f -> trunk/53e39494958b7e2278cc8176f63636e812e8945f
2025-08-14T21:29:15.6545490Z  * [new tag]                 trunk/556e2a73f4f0643f7c2aeb5c7dddda43388a40ce -> trunk/556e2a73f4f0643f7c2aeb5c7dddda43388a40ce
2025-08-14T21:29:15.6546607Z  * [new tag]                 trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919 -> trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919
2025-08-14T21:29:15.6547781Z  * [new tag]                 trunk/566c6d52ef1411c8262d7b9cf85e2044fdfbe1a3 -> trunk/566c6d52ef1411c8262d7b9cf85e2044fdfbe1a3
2025-08-14T21:29:15.6548978Z  * [new tag]                 trunk/56c828bef93eada0e18d2cc013207831ca80cc99 -> trunk/56c828bef93eada0e18d2cc013207831ca80cc99
2025-08-14T21:29:15.6550177Z  * [new tag]                 trunk/5737372862253a0ac0292407a5844796f02380ad -> trunk/5737372862253a0ac0292407a5844796f02380ad
2025-08-14T21:29:15.6551245Z  * [new tag]                 trunk/57f738b6357cc8fcdde479a0948e723809a1a44d -> trunk/57f738b6357cc8fcdde479a0948e723809a1a44d
2025-08-14T21:29:15.6552551Z  * [new tag]                 trunk/5a40c5784482255b9baf14086cc4b9349fc6d512 -> trunk/5a40c5784482255b9baf14086cc4b9349fc6d512
2025-08-14T21:29:15.6553656Z  * [new tag]                 trunk/5a9c4cfce42b9eb87da0de40c5633f083115c307 -> trunk/5a9c4cfce42b9eb87da0de40c5633f083115c307
2025-08-14T21:29:15.6554799Z  * [new tag]                 trunk/5ace061254af71aa83d1baae81aa1864c9746add -> trunk/5ace061254af71aa83d1baae81aa1864c9746add
2025-08-14T21:29:15.6556036Z  * [new tag]                 trunk/5dddcd5b07c6644efca8d613f4eca1dc95daa87f -> trunk/5dddcd5b07c6644efca8d613f4eca1dc95daa87f
2025-08-14T21:29:15.6557215Z  * [new tag]                 trunk/5ed4f9177907fe403ec4c4499d0d0e9be6b68fcf -> trunk/5ed4f9177907fe403ec4c4499d0d0e9be6b68fcf
2025-08-14T21:29:15.6558491Z  * [new tag]                 trunk/5f1010fbb3850d99c8fdf9a9de2f79260cdc586a -> trunk/5f1010fbb3850d99c8fdf9a9de2f79260cdc586a
2025-08-14T21:29:15.6559540Z  * [new tag]                 trunk/5f5f508aa836a46dfe88857fb223049616b94e93 -> trunk/5f5f508aa836a46dfe88857fb223049616b94e93
2025-08-14T21:29:15.6560779Z  * [new tag]                 trunk/62bac0798100e0e06a86b7a4cee1788413e3d0ca -> trunk/62bac0798100e0e06a86b7a4cee1788413e3d0ca
2025-08-14T21:29:15.6562105Z  * [new tag]                 trunk/63654ba4c5178fd12220cfc9d1c878af2fdd07cc -> trunk/63654ba4c5178fd12220cfc9d1c878af2fdd07cc
2025-08-14T21:29:15.6563296Z  * [new tag]                 trunk/639778b3ee3b80e0894367fdc4442b58ae1b3a62 -> trunk/639778b3ee3b80e0894367fdc4442b58ae1b3a62
2025-08-14T21:29:15.6564497Z  * [new tag]                 trunk/641ee7478150f26969968f49d8b358e199679a8a -> trunk/641ee7478150f26969968f49d8b358e199679a8a
2025-08-14T21:29:15.6565672Z  * [new tag]                 trunk/65053c03a3d209060cb239d20a229dac37cf9dd1 -> trunk/65053c03a3d209060cb239d20a229dac37cf9dd1
2025-08-14T21:29:15.6566807Z  * [new tag]                 trunk/652a6f5954d039d61dc6e6575ccf89d385d74537 -> trunk/652a6f5954d039d61dc6e6575ccf89d385d74537
2025-08-14T21:29:15.6567994Z  * [new tag]                 trunk/685f15dbea66e8ffa8564752f81ad2f6cb447a14 -> trunk/685f15dbea66e8ffa8564752f81ad2f6cb447a14
2025-08-14T21:29:15.6569071Z  * [new tag]                 trunk/68a4b4b2e336cfd4451ce6546d900568e5ddf96c -> trunk/68a4b4b2e336cfd4451ce6546d900568e5ddf96c
2025-08-14T21:29:15.6570330Z  * [new tag]                 trunk/69a0a9aa7f5e320a02e97fa789d2f72baff1554f -> trunk/69a0a9aa7f5e320a02e97fa789d2f72baff1554f
2025-08-14T21:29:15.6571566Z  * [new tag]                 trunk/6be6d06295c870c77a6eb69f96b3170d983520d5 -> trunk/6be6d06295c870c77a6eb69f96b3170d983520d5
2025-08-14T21:29:15.6572801Z  * [new tag]                 trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49 -> trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49
2025-08-14T21:29:15.6574073Z  * [new tag]                 trunk/6da11d9aafc0d84dc7f66030c181608ff2614f66 -> trunk/6da11d9aafc0d84dc7f66030c181608ff2614f66
2025-08-14T21:29:15.6575800Z  * [new tag]                 trunk/6e8865fbc161270e2ffc52817e6c667df417a3f7 -> trunk/6e8865fbc161270e2ffc52817e6c667df417a3f7
2025-08-14T21:29:15.6576982Z  * [new tag]                 trunk/6ea8376f84232048d6be0f7b2edf82aec1b61d58 -> trunk/6ea8376f84232048d6be0f7b2edf82aec1b61d58
2025-08-14T21:29:15.6578151Z  * [new tag]                 trunk/6ee175195ac7853734d64704171993cc6265eb38 -> trunk/6ee175195ac7853734d64704171993cc6265eb38
2025-08-14T21:29:15.6579328Z  * [new tag]                 trunk/6f0f4e0c3eacd479864319127915f869f64e1935 -> trunk/6f0f4e0c3eacd479864319127915f869f64e1935
2025-08-14T21:29:15.6580390Z  * [new tag]                 trunk/70ccdec44b89e355a2cb03ba14a634284f7750f8 -> trunk/70ccdec44b89e355a2cb03ba14a634284f7750f8
2025-08-14T21:29:15.6581639Z  * [new tag]                 trunk/72009ec6bebca7714f99c18449183787f202af4d -> trunk/72009ec6bebca7714f99c18449183787f202af4d
2025-08-14T21:29:15.6582832Z  * [new tag]                 trunk/731ee31f7b6ba19307daab323f6196172b71aaf8 -> trunk/731ee31f7b6ba19307daab323f6196172b71aaf8
2025-08-14T21:29:15.6584124Z  * [new tag]                 trunk/76a0609b6bddb2bc40f1eb4ade12885023653d59 -> trunk/76a0609b6bddb2bc40f1eb4ade12885023653d59
2025-08-14T21:29:15.6585236Z  * [new tag]                 trunk/781e9a7724c47496e3d38a81e6dd6194cf098c41 -> trunk/781e9a7724c47496e3d38a81e6dd6194cf098c41
2025-08-14T21:29:15.6586103Z  * [new tag]                 trunk/78a2fe1d42edeaa2ef7020b0fa0ac82ee4a640e4 -> trunk/78a2fe1d42edeaa2ef7020b0fa0ac82ee4a640e4
2025-08-14T21:29:15.6587454Z  * [new tag]                 trunk/7a974a88f2c529a614baeabe4debd00fc8a3b299 -> trunk/7a974a88f2c529a614baeabe4debd00fc8a3b299
2025-08-14T21:29:15.6588920Z  * [new tag]                 trunk/7ae0629d64b404e0ef5d9c931433ad25e65d6114 -> trunk/7ae0629d64b404e0ef5d9c931433ad25e65d6114
2025-08-14T21:29:15.6590207Z  * [new tag]                 trunk/7d2ec704e47f4b740cdecda5534b305e8e1875ef -> trunk/7d2ec704e47f4b740cdecda5534b305e8e1875ef
2025-08-14T21:29:15.6591408Z  * [new tag]                 trunk/7d87e358ac8440f666fabbfd99058bb5342be6ac -> trunk/7d87e358ac8440f666fabbfd99058bb5342be6ac
2025-08-14T21:29:15.6592618Z  * [new tag]                 trunk/7e27347fd353928c99620495c8c531a5eba7d56b -> trunk/7e27347fd353928c99620495c8c531a5eba7d56b
2025-08-14T21:29:15.6594038Z  * [new tag]                 trunk/7e91394955721c77645fcdb75a5d47a255d65020 -> trunk/7e91394955721c77645fcdb75a5d47a255d65020
2025-08-14T21:29:15.6595200Z  * [new tag]                 trunk/7f4cb4a3e018a621add2a37a3a2f67b982d51001 -> trunk/7f4cb4a3e018a621add2a37a3a2f67b982d51001
2025-08-14T21:29:15.6596370Z  * [new tag]                 trunk/7fbc22855c17741ae016992803b2e147a13aa22d -> trunk/7fbc22855c17741ae016992803b2e147a13aa22d
2025-08-14T21:29:15.6597623Z  * [new tag]                 trunk/8047421fbb607d70ede13b9cd5a60b7b8bdfe348 -> trunk/8047421fbb607d70ede13b9cd5a60b7b8bdfe348
2025-08-14T21:29:15.6598944Z  * [new tag]                 trunk/8088cfa592504a2897b4c78f8a46fe658ab5c2c2 -> trunk/8088cfa592504a2897b4c78f8a46fe658ab5c2c2
2025-08-14T21:29:15.6600142Z  * [new tag]                 trunk/80cca8307943ba64168208b54028f55b2c71daff -> trunk/80cca8307943ba64168208b54028f55b2c71daff
2025-08-14T21:29:15.6601348Z  * [new tag]                 trunk/8147370733bbdcd034cad54e9212e51885a11892 -> trunk/8147370733bbdcd034cad54e9212e51885a11892
2025-08-14T21:29:15.6602683Z  * [new tag]                 trunk/83875cdb5594ccb3c9206b8eb5745fe1d011cf26 -> trunk/83875cdb5594ccb3c9206b8eb5745fe1d011cf26
2025-08-14T21:29:15.6603874Z  * [new tag]                 trunk/8399cf88ce8399d2be93355f29d4cb69f51c0654 -> trunk/8399cf88ce8399d2be93355f29d4cb69f51c0654
2025-08-14T21:29:15.6605132Z  * [new tag]                 trunk/842cc77ab9aafd518593c2fce077d6abb42a5b7f -> trunk/842cc77ab9aafd518593c2fce077d6abb42a5b7f
2025-08-14T21:29:15.6606353Z  * [new tag]                 trunk/85db508af533649d0b3447ff3f0d5fe083150c84 -> trunk/85db508af533649d0b3447ff3f0d5fe083150c84
2025-08-14T21:29:15.6607448Z  * [new tag]                 trunk/86eb65f7f06016bcd5d7951dc9d74bc3993a827a -> trunk/86eb65f7f06016bcd5d7951dc9d74bc3993a827a
2025-08-14T21:29:15.6608648Z  * [new tag]                 trunk/87e6c4079d8ec7d04aff00ed82096b39836a8367 -> trunk/87e6c4079d8ec7d04aff00ed82096b39836a8367
2025-08-14T21:29:15.6609847Z  * [new tag]                 trunk/89654db1abccf7e5f261989a150db4d1619ea2aa -> trunk/89654db1abccf7e5f261989a150db4d1619ea2aa
2025-08-14T21:29:15.6610930Z  * [new tag]                 trunk/8a37f0c90392a2c38b7c5955471fa49edcaf5cb1 -> trunk/8a37f0c90392a2c38b7c5955471fa49edcaf5cb1
2025-08-14T21:29:15.6612195Z  * [new tag]                 trunk/8ab5868a2199fe485c2d66533b9244ccb97e487d -> trunk/8ab5868a2199fe485c2d66533b9244ccb97e487d
2025-08-14T21:29:15.6613539Z  * [new tag]                 trunk/8ae4d2652f64b8444b3d5314b9232bd2119bcde6 -> trunk/8ae4d2652f64b8444b3d5314b9232bd2119bcde6
2025-08-14T21:29:15.6614747Z  * [new tag]                 trunk/8c41cb800ae0411f02ea5da34bd5ccc3790633b0 -> trunk/8c41cb800ae0411f02ea5da34bd5ccc3790633b0
2025-08-14T21:29:15.6616100Z  * [new tag]                 trunk/8cb91e20bc205b1416648d0ffd98d1ba1f3a6fc4 -> trunk/8cb91e20bc205b1416648d0ffd98d1ba1f3a6fc4
2025-08-14T21:29:15.6617237Z  * [new tag]                 trunk/8cfaf51d4e29c9bd9f49ecc98d955ed53df1a13d -> trunk/8cfaf51d4e29c9bd9f49ecc98d955ed53df1a13d
2025-08-14T21:29:15.6618230Z  * [new tag]                 trunk/8d1cf529229dce7cd5ea04abb0faac83b87ca6d1 -> trunk/8d1cf529229dce7cd5ea04abb0faac83b87ca6d1
2025-08-14T21:29:15.6619446Z  * [new tag]                 trunk/8d3d1c844303cb1d46123a1caa76d4cf83973347 -> trunk/8d3d1c844303cb1d46123a1caa76d4cf83973347
2025-08-14T21:29:15.6620636Z  * [new tag]                 trunk/8d6d3246316e1767a57d5e855acd6208da753b75 -> trunk/8d6d3246316e1767a57d5e855acd6208da753b75
2025-08-14T21:29:15.6621913Z  * [new tag]                 trunk/8e6a3138581152ab827a0997f34c470271399f5e -> trunk/8e6a3138581152ab827a0997f34c470271399f5e
2025-08-14T21:29:15.6623097Z  * [new tag]                 trunk/8eee08d2279b98af2522debb6512d37e837e89e3 -> trunk/8eee08d2279b98af2522debb6512d37e837e89e3
2025-08-14T21:29:15.6624280Z  * [new tag]                 trunk/90b78ee50f73b5c963996076a3d54b74b1b965be -> trunk/90b78ee50f73b5c963996076a3d54b74b1b965be
2025-08-14T21:29:15.6625363Z  * [new tag]                 trunk/94b91a876327820a4bb6f5d39d156f13f2553ab6 -> trunk/94b91a876327820a4bb6f5d39d156f13f2553ab6
2025-08-14T21:29:15.6626813Z  * [new tag]                 trunk/95210cc409dd578988c7116b47725c304dea54c7 -> trunk/95210cc409dd578988c7116b47725c304dea54c7
2025-08-14T21:29:15.6627871Z  * [new tag]                 trunk/96bd33b2de79598566df395f32e27c4d33673f05 -> trunk/96bd33b2de79598566df395f32e27c4d33673f05
2025-08-14T21:29:15.6629152Z  * [new tag]                 trunk/9708fcf92db88b80b9010c68662d634434da3106 -> trunk/9708fcf92db88b80b9010c68662d634434da3106
2025-08-14T21:29:15.6630348Z  * [new tag]                 trunk/97c8c98f8dcb9c5c188b691d156e0043dba6c7f8 -> trunk/97c8c98f8dcb9c5c188b691d156e0043dba6c7f8
2025-08-14T21:29:15.6631623Z  * [new tag]                 trunk/9903ca4f70bdc1653016256f5b4fd74fdfc609f8 -> trunk/9903ca4f70bdc1653016256f5b4fd74fdfc609f8
2025-08-14T21:29:15.6632811Z  * [new tag]                 trunk/99bc2f94c1955657e950ebdad5f77e518785ccbd -> trunk/99bc2f94c1955657e950ebdad5f77e518785ccbd
2025-08-14T21:29:15.6633900Z  * [new tag]                 trunk/9a06e6d0310da9d8a59ae05e8ec9c0201b55cacd -> trunk/9a06e6d0310da9d8a59ae05e8ec9c0201b55cacd
2025-08-14T21:29:15.6635068Z  * [new tag]                 trunk/9a0f7a3bb01b235ea04581ee540970a098071b72 -> trunk/9a0f7a3bb01b235ea04581ee540970a098071b72
2025-08-14T21:29:15.6636383Z  * [new tag]                 trunk/9b803cdbe298009f08340c1aaccb25aafbca95d8 -> trunk/9b803cdbe298009f08340c1aaccb25aafbca95d8
2025-08-14T21:29:15.6637766Z  * [new tag]                 trunk/9ccd0f5e31ea54fcf42101dfbaacc103494e34df -> trunk/9ccd0f5e31ea54fcf42101dfbaacc103494e34df
2025-08-14T21:29:15.6638952Z  * [new tag]                 trunk/9d37c960a4fc44d5ac334ca8bf775f85b95d76fc -> trunk/9d37c960a4fc44d5ac334ca8bf775f85b95d76fc
2025-08-14T21:29:15.6640254Z  * [new tag]                 trunk/9e07673deb212c87b1c6fea23799a97474c476ed -> trunk/9e07673deb212c87b1c6fea23799a97474c476ed
2025-08-14T21:29:15.6641223Z  * [new tag]                 trunk/9eedd2a20b64302d0d116ea2802b50948d2ebb09 -> trunk/9eedd2a20b64302d0d116ea2802b50948d2ebb09
2025-08-14T21:29:15.6642617Z  * [new tag]                 trunk/9fa8ce26cf638504469852cbc3e7d04579fc8674 -> trunk/9fa8ce26cf638504469852cbc3e7d04579fc8674
2025-08-14T21:29:15.6643899Z  * [new tag]                 trunk/a06ec54d40013c97fbffc174ea8f524ea5a95715 -> trunk/a06ec54d40013c97fbffc174ea8f524ea5a95715
2025-08-14T21:29:15.6645108Z  * [new tag]                 trunk/a288b15ea9f87ddd665f249d492e0fb0861f5a69 -> trunk/a288b15ea9f87ddd665f249d492e0fb0861f5a69
2025-08-14T21:29:15.6646281Z  * [new tag]                 trunk/a2fd106d670bb4990cebfd00f25ecbae4145e76c -> trunk/a2fd106d670bb4990cebfd00f25ecbae4145e76c
2025-08-14T21:29:15.6647600Z  * [new tag]                 trunk/a354fa91e26b376d96385a2206c5ff5b42aa4600 -> trunk/a354fa91e26b376d96385a2206c5ff5b42aa4600
2025-08-14T21:29:15.6656485Z  * [new tag]                 trunk/a4f69a5da08eace1c1e6469dec6a18aa842da73b -> trunk/a4f69a5da08eace1c1e6469dec6a18aa842da73b
2025-08-14T21:29:15.6656856Z  * [new tag]                 trunk/a53d14d5f846ac44f6c205abb1c5bc4d2f3126ae -> trunk/a53d14d5f846ac44f6c205abb1c5bc4d2f3126ae
2025-08-14T21:29:15.6657150Z  * [new tag]                 trunk/a5652407e4f3d772fc44486ac2abf756decf0861 -> trunk/a5652407e4f3d772fc44486ac2abf756decf0861
2025-08-14T21:29:15.6657430Z  * [new tag]                 trunk/a7abf57aabec0ce686092e2d66e53ba185dbc56b -> trunk/a7abf57aabec0ce686092e2d66e53ba185dbc56b
2025-08-14T21:29:15.6657701Z  * [new tag]                 trunk/a84b60c0c4016785fd93b7b8a0c04f2d0770d332 -> trunk/a84b60c0c4016785fd93b7b8a0c04f2d0770d332
2025-08-14T21:29:15.6657983Z  * [new tag]                 trunk/aa75e917bdb0f95bb6dee81853c2d3c4ab3e1883 -> trunk/aa75e917bdb0f95bb6dee81853c2d3c4ab3e1883
2025-08-14T21:29:15.6658258Z  * [new tag]                 trunk/adcca7d9a1c053495e99012de801b2ea237faad0 -> trunk/adcca7d9a1c053495e99012de801b2ea237faad0
2025-08-14T21:29:15.6658537Z  * [new tag]                 trunk/af10f1f86cc4effc93142a447693d8be55966615 -> trunk/af10f1f86cc4effc93142a447693d8be55966615
2025-08-14T21:29:15.6659093Z  * [new tag]                 trunk/af3cabc55d5699f4da528e1ca39d83338f84ae8c -> trunk/af3cabc55d5699f4da528e1ca39d83338f84ae8c
2025-08-14T21:29:15.6660480Z  * [new tag]                 trunk/b0df7715e8c590c0001d1f9cdb97057be80c9107 -> trunk/b0df7715e8c590c0001d1f9cdb97057be80c9107
2025-08-14T21:29:15.6661667Z  * [new tag]                 trunk/b149c7204c218e7c4d6594a89dd74f72bd480ec5 -> trunk/b149c7204c218e7c4d6594a89dd74f72bd480ec5
2025-08-14T21:29:15.6662841Z  * [new tag]                 trunk/b1a602762e6a6674b406a3137e7e7a678885a97b -> trunk/b1a602762e6a6674b406a3137e7e7a678885a97b
2025-08-14T21:29:15.6664086Z  * [new tag]                 trunk/b1f43548cad8fc0e30bda250f6e196310fa7a4bc -> trunk/b1f43548cad8fc0e30bda250f6e196310fa7a4bc
2025-08-14T21:29:15.6665278Z  * [new tag]                 trunk/b219ca2a00a305753c4f1ea4c9c5d23243d54753 -> trunk/b219ca2a00a305753c4f1ea4c9c5d23243d54753
2025-08-14T21:29:15.6666507Z  * [new tag]                 trunk/b4596895b9d85a686c2cb978938b0a7797b3690a -> trunk/b4596895b9d85a686c2cb978938b0a7797b3690a
2025-08-14T21:29:15.6667760Z  * [new tag]                 trunk/b5fd7223b1bf44720dc9183bda7dfcf7aeccff02 -> trunk/b5fd7223b1bf44720dc9183bda7dfcf7aeccff02
2025-08-14T21:29:15.6668951Z  * [new tag]                 trunk/b602ea9cab7d43a7ee7b4051227090f23fbd3dbf -> trunk/b602ea9cab7d43a7ee7b4051227090f23fbd3dbf
2025-08-14T21:29:15.6670255Z  * [new tag]                 trunk/b6b74aed604bd2e96389ff99aaaf39abc64fdc64 -> trunk/b6b74aed604bd2e96389ff99aaaf39abc64fdc64
2025-08-14T21:29:15.6671470Z  * [new tag]                 trunk/b7db86600a2614adc71c92ca42d359a7ac534d78 -> trunk/b7db86600a2614adc71c92ca42d359a7ac534d78
2025-08-14T21:29:15.6672634Z  * [new tag]                 trunk/b9003ed3d87699e81e436719625a21996a6654e5 -> trunk/b9003ed3d87699e81e436719625a21996a6654e5
2025-08-14T21:29:15.6673867Z  * [new tag]                 trunk/b90feeac86bda00afc2789321bcd706015ff44e3 -> trunk/b90feeac86bda00afc2789321bcd706015ff44e3
2025-08-14T21:29:15.6675600Z  * [new tag]                 trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8 -> trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8
2025-08-14T21:29:15.6676889Z  * [new tag]                 trunk/ba47821f524eee50a214ed39fa2e7765d54aabf4 -> trunk/ba47821f524eee50a214ed39fa2e7765d54aabf4
2025-08-14T21:29:15.6678130Z  * [new tag]                 trunk/ba4ccf5d67e3d237f435eacc2bce3c6025f08491 -> trunk/ba4ccf5d67e3d237f435eacc2bce3c6025f08491
2025-08-14T21:29:15.6679374Z  * [new tag]                 trunk/bcf23ecc476df2bd7479f142567213e2623308ee -> trunk/bcf23ecc476df2bd7479f142567213e2623308ee
2025-08-14T21:29:15.6680597Z  * [new tag]                 trunk/be53f609aaf6f01e2863f490975ea9eaac3ee9ff -> trunk/be53f609aaf6f01e2863f490975ea9eaac3ee9ff
2025-08-14T21:29:15.6681963Z  * [new tag]                 trunk/beb4d7816dedc67a5de1f82e5a45b5910f407941 -> trunk/beb4d7816dedc67a5de1f82e5a45b5910f407941
2025-08-14T21:29:15.6683366Z  * [new tag]                 trunk/bfc873d02ec413344717493e4175a902921359fd -> trunk/bfc873d02ec413344717493e4175a902921359fd
2025-08-14T21:29:15.6684571Z  * [new tag]                 trunk/c184cb3852f0ff2d16a489d61abc3739c309e6ca -> trunk/c184cb3852f0ff2d16a489d61abc3739c309e6ca
2025-08-14T21:29:15.6685821Z  * [new tag]                 trunk/c24ca7f4bf79f62fd623d76346ca27e53f731431 -> trunk/c24ca7f4bf79f62fd623d76346ca27e53f731431
2025-08-14T21:29:15.6687035Z  * [new tag]                 trunk/c3dc8dc4122977893004c49d10e4676cd0a97da4 -> trunk/c3dc8dc4122977893004c49d10e4676cd0a97da4
2025-08-14T21:29:15.6688389Z  * [new tag]                 trunk/c5ec5458a547f7a774468ea0eb2258d3de596492 -> trunk/c5ec5458a547f7a774468ea0eb2258d3de596492
2025-08-14T21:29:15.6689597Z  * [new tag]                 trunk/c5efc5c8a66eca84865015058b3221013ebfe685 -> trunk/c5efc5c8a66eca84865015058b3221013ebfe685
2025-08-14T21:29:15.6690794Z  * [new tag]                 trunk/c6563341208003f64c131854a9cf029555f786d2 -> trunk/c6563341208003f64c131854a9cf029555f786d2
2025-08-14T21:29:15.6692039Z  * [new tag]                 trunk/c6d78d4dbda53837d298d23a5fbc09af90a42d9e -> trunk/c6d78d4dbda53837d298d23a5fbc09af90a42d9e
2025-08-14T21:29:15.6693118Z  * [new tag]                 trunk/c8205cb35435f39d2c26f6c94b45e4adeb6dcb23 -> trunk/c8205cb35435f39d2c26f6c94b45e4adeb6dcb23
2025-08-14T21:29:15.6694390Z  * [new tag]                 trunk/c859ba7114b1fcb49527e090745fa17091d1f8d5 -> trunk/c859ba7114b1fcb49527e090745fa17091d1f8d5
2025-08-14T21:29:15.6695668Z  * [new tag]                 trunk/c86040a8e68f754b90a84099187d3624954c7f36 -> trunk/c86040a8e68f754b90a84099187d3624954c7f36
2025-08-14T21:29:15.6696876Z  * [new tag]                 trunk/c9671dc865aa0fc1cb86df754e355b44d8e02bb4 -> trunk/c9671dc865aa0fc1cb86df754e355b44d8e02bb4
2025-08-14T21:29:15.6698181Z  * [new tag]                 trunk/ca7315c17162ea21b1ca5ba23f4bf6168766c7b9 -> trunk/ca7315c17162ea21b1ca5ba23f4bf6168766c7b9
2025-08-14T21:29:15.6699569Z  * [new tag]                 trunk/cae2b5e3d223829bdc553fc8601df4b1c1554cff -> trunk/cae2b5e3d223829bdc553fc8601df4b1c1554cff
2025-08-14T21:29:15.6701011Z  * [new tag]                 trunk/cbffde774557752cf20447d42d99ec6102673c31 -> trunk/cbffde774557752cf20447d42d99ec6102673c31
2025-08-14T21:29:15.6702251Z  * [new tag]                 trunk/cd8d8c18f5bafdc1c73d5ac0129e7b4d76ab45bc -> trunk/cd8d8c18f5bafdc1c73d5ac0129e7b4d76ab45bc
2025-08-14T21:29:15.6703435Z  * [new tag]                 trunk/cf0a0dcb0afa5e84b95461cc542f862b51ca96bf -> trunk/cf0a0dcb0afa5e84b95461cc542f862b51ca96bf
2025-08-14T21:29:15.6704607Z  * [new tag]                 trunk/cf4964be68fa9f4ffc334f01cce42d7424b1cc81 -> trunk/cf4964be68fa9f4ffc334f01cce42d7424b1cc81
2025-08-14T21:29:15.6706043Z  * [new tag]                 trunk/d0e2240f680ea2a553f7ee8188f52482e130bfd0 -> trunk/d0e2240f680ea2a553f7ee8188f52482e130bfd0
2025-08-14T21:29:15.6707279Z  * [new tag]                 trunk/d1950d4bb5cba8fb6b23e4d283eea5b9801737e2 -> trunk/d1950d4bb5cba8fb6b23e4d283eea5b9801737e2
2025-08-14T21:29:15.6708491Z  * [new tag]                 trunk/d20c4c20e61adecf00335c4d8c22eb1ace472cd3 -> trunk/d20c4c20e61adecf00335c4d8c22eb1ace472cd3
2025-08-14T21:29:15.6709668Z  * [new tag]                 trunk/d25c4f954d599ea512e2f70cd6df101c21479d4c -> trunk/d25c4f954d599ea512e2f70cd6df101c21479d4c
2025-08-14T21:29:15.6710903Z  * [new tag]                 trunk/d3d359dbafa89173a371e2637f22b47398e94a24 -> trunk/d3d359dbafa89173a371e2637f22b47398e94a24
2025-08-14T21:29:15.6712257Z  * [new tag]                 trunk/d46768db04499d07a5b0db984112a6d1b7d3b0c1 -> trunk/d46768db04499d07a5b0db984112a6d1b7d3b0c1
2025-08-14T21:29:15.6713686Z  * [new tag]                 trunk/d4c1a08c89f37d249a0146ff511c82ecc5c53b8f -> trunk/d4c1a08c89f37d249a0146ff511c82ecc5c53b8f
2025-08-14T21:29:15.6714908Z  * [new tag]                 trunk/d556586448f3caab85673c7da0978fe31c7748f7 -> trunk/d556586448f3caab85673c7da0978fe31c7748f7
2025-08-14T21:29:15.6716527Z  * [new tag]                 trunk/d670304001429a1a833255a918ed788d7ec4989a -> trunk/d670304001429a1a833255a918ed788d7ec4989a
2025-08-14T21:29:15.6717404Z  * [new tag]                 trunk/d6786741a77aba200c78002646cc069b7a1799b0 -> trunk/d6786741a77aba200c78002646cc069b7a1799b0
2025-08-14T21:29:15.6718881Z  * [new tag]                 trunk/d68c323692dedcbb74e670801e3502944fd790ff -> trunk/d68c323692dedcbb74e670801e3502944fd790ff
2025-08-14T21:29:15.6720116Z  * [new tag]                 trunk/d8cb3db5339b45e4b745b2b883ef3ecde9843e2c -> trunk/d8cb3db5339b45e4b745b2b883ef3ecde9843e2c
2025-08-14T21:29:15.6721264Z  * [new tag]                 trunk/da1f608ca33f3062535d0a4866d95db19e72fcbd -> trunk/da1f608ca33f3062535d0a4866d95db19e72fcbd
2025-08-14T21:29:15.6722505Z  * [new tag]                 trunk/db0b7f1cc9bb3fe71aaf8b964a644147ae8e1c35 -> trunk/db0b7f1cc9bb3fe71aaf8b964a644147ae8e1c35
2025-08-14T21:29:15.6723869Z  * [new tag]                 trunk/db32b60662b2f2bdcad980127d5dc4b66b02a7e4 -> trunk/db32b60662b2f2bdcad980127d5dc4b66b02a7e4
2025-08-14T21:29:15.6725053Z  * [new tag]                 trunk/db763b17175553ba09637362eb9773a91997a7ad -> trunk/db763b17175553ba09637362eb9773a91997a7ad
2025-08-14T21:29:15.6726317Z  * [new tag]                 trunk/db78943a1ca13a32a3d6045eb15e2b719ee13a2f -> trunk/db78943a1ca13a32a3d6045eb15e2b719ee13a2f
2025-08-14T21:29:15.6727618Z  * [new tag]                 trunk/dc0d18e023d9b7e314ebba0f234b6cb1579dbcfd -> trunk/dc0d18e023d9b7e314ebba0f234b6cb1579dbcfd
2025-08-14T21:29:15.6728825Z  * [new tag]                 trunk/dd21c8a578038ab2841a7ba809a06921093ac9d8 -> trunk/dd21c8a578038ab2841a7ba809a06921093ac9d8
2025-08-14T21:29:15.6730004Z  * [new tag]                 trunk/deea71a90e05eb320c04bebfead5317746637f0d -> trunk/deea71a90e05eb320c04bebfead5317746637f0d
2025-08-14T21:29:15.6731202Z  * [new tag]                 trunk/df55ec7d4b35f6d21691e9dd41c82f27de762948 -> trunk/df55ec7d4b35f6d21691e9dd41c82f27de762948
2025-08-14T21:29:15.6732386Z  * [new tag]                 trunk/e1cf0d496ea85d1807c8c740f296e77bf7bdc1df -> trunk/e1cf0d496ea85d1807c8c740f296e77bf7bdc1df
2025-08-14T21:29:15.6733598Z  * [new tag]                 trunk/e248719ac03c103767ab72034f6b9fd56855bf98 -> trunk/e248719ac03c103767ab72034f6b9fd56855bf98
2025-08-14T21:29:15.6735315Z  * [new tag]                 trunk/e49762026070f66be41bfa6537fbcf9bfc24e558 -> trunk/e49762026070f66be41bfa6537fbcf9bfc24e558
2025-08-14T21:29:15.6736488Z  * [new tag]                 trunk/e4de93f6a3e342bab34d3757cf90ec0ccc87e168 -> trunk/e4de93f6a3e342bab34d3757cf90ec0ccc87e168
2025-08-14T21:29:15.6737602Z  * [new tag]                 trunk/e619c6bb90b9dedaccd3cbeed86a288993a4e33f -> trunk/e619c6bb90b9dedaccd3cbeed86a288993a4e33f
2025-08-14T21:29:15.6738895Z  * [new tag]                 trunk/e63c2b21c186a7d2ab8a8953b8aa1535f2e96e58 -> trunk/e63c2b21c186a7d2ab8a8953b8aa1535f2e96e58
2025-08-14T21:29:15.6740123Z  * [new tag]                 trunk/e7152ff8a6a929a0db7f3f4a72a5b6d471769cd3 -> trunk/e7152ff8a6a929a0db7f3f4a72a5b6d471769cd3
2025-08-14T21:29:15.6741361Z  * [new tag]                 trunk/e96c7c4bb0f6aeae2ab3b6f040f7d67edbec199a -> trunk/e96c7c4bb0f6aeae2ab3b6f040f7d67edbec199a
2025-08-14T21:29:15.6742605Z  * [new tag]                 trunk/e9eb2096a59a79e7a94c3e28a0715e040369f34c -> trunk/e9eb2096a59a79e7a94c3e28a0715e040369f34c
2025-08-14T21:29:15.6743832Z  * [new tag]                 trunk/eac2d9d695a32dd456050f45cac35134ec3809f4 -> trunk/eac2d9d695a32dd456050f45cac35134ec3809f4
2025-08-14T21:29:15.6745044Z  * [new tag]                 trunk/ecde76c764752540edf9ef62a97936c86d984b17 -> trunk/ecde76c764752540edf9ef62a97936c86d984b17
2025-08-14T21:29:15.6746125Z  * [new tag]                 trunk/ecea81117b2fdc52907c97b3c32d779e07b5d55b -> trunk/ecea81117b2fdc52907c97b3c32d779e07b5d55b
2025-08-14T21:29:15.6747343Z  * [new tag]                 trunk/edaa151d0d5a4e75fbec9843f49cc78770eb61fb -> trunk/edaa151d0d5a4e75fbec9843f49cc78770eb61fb
2025-08-14T21:29:15.6748640Z  * [new tag]                 trunk/ee1b0412b919dfb358d5a697b3be49621497fbc2 -> trunk/ee1b0412b919dfb358d5a697b3be49621497fbc2
2025-08-14T21:29:15.6749812Z  * [new tag]                 trunk/ee1fb43450c2e985657f95a91b68328d6f20f24e -> trunk/ee1fb43450c2e985657f95a91b68328d6f20f24e
2025-08-14T21:29:15.6751109Z  * [new tag]                 trunk/ee89cc7a0acd69de25f98fe4ef828546db7b444c -> trunk/ee89cc7a0acd69de25f98fe4ef828546db7b444c
2025-08-14T21:29:15.6752336Z  * [new tag]                 trunk/ee9f8ba11d664b871a9e0c7933fdc8571635b78c -> trunk/ee9f8ba11d664b871a9e0c7933fdc8571635b78c
2025-08-14T21:29:15.6753604Z  * [new tag]                 trunk/eed9dbf70f43ee529fec78ac00ed9a4fd74c6e76 -> trunk/eed9dbf70f43ee529fec78ac00ed9a4fd74c6e76
2025-08-14T21:29:15.6754835Z  * [new tag]                 trunk/f077c2402e4eb5b0ed562b4ee5b7a0503f26ef94 -> trunk/f077c2402e4eb5b0ed562b4ee5b7a0503f26ef94
2025-08-14T21:29:15.6756059Z  * [new tag]                 trunk/f0980fc0bbd656d6c02d23ad97e945353b314f35 -> trunk/f0980fc0bbd656d6c02d23ad97e945353b314f35
2025-08-14T21:29:15.6757308Z  * [new tag]                 trunk/f15ada5c6fad97a7dcbfa4673f067b6942dda640 -> trunk/f15ada5c6fad97a7dcbfa4673f067b6942dda640
2025-08-14T21:29:15.6758549Z  * [new tag]                 trunk/f27232a2134150cb5e55d26a74d8c36c6a961ca5 -> trunk/f27232a2134150cb5e55d26a74d8c36c6a961ca5
2025-08-14T21:29:15.6759772Z  * [new tag]                 trunk/f33ce40bc062a281e1a1f57e8c1926d0a7d155cc -> trunk/f33ce40bc062a281e1a1f57e8c1926d0a7d155cc
2025-08-14T21:29:15.6761039Z  * [new tag]                 trunk/f341077ce4710172da20cfad916ee37159bfe9fe -> trunk/f341077ce4710172da20cfad916ee37159bfe9fe
2025-08-14T21:29:15.6762349Z  * [new tag]                 trunk/f3a4d742ece08de4cb0e59dcc62e0093a7d0b0c7 -> trunk/f3a4d742ece08de4cb0e59dcc62e0093a7d0b0c7
2025-08-14T21:29:15.6763679Z  * [new tag]                 trunk/f3f159ff8c4bad2edec99c68a941c628e983d04c -> trunk/f3f159ff8c4bad2edec99c68a941c628e983d04c
2025-08-14T21:29:15.6764923Z  * [new tag]                 trunk/f60454cce8b93e5bbf67f2f3c88c8ac01ed65457 -> trunk/f60454cce8b93e5bbf67f2f3c88c8ac01ed65457
2025-08-14T21:29:15.6766112Z  * [new tag]                 trunk/f7b2f3314cf7aede67d5fa5c75e4243208484344 -> trunk/f7b2f3314cf7aede67d5fa5c75e4243208484344
2025-08-14T21:29:15.6767399Z  * [new tag]                 trunk/f8f0414a5983ff481a2188e0c18594150430c8c5 -> trunk/f8f0414a5983ff481a2188e0c18594150430c8c5
2025-08-14T21:29:15.6768667Z  * [new tag]                 trunk/f95b58c2844b3444cd8446fed8570729dc4216eb -> trunk/f95b58c2844b3444cd8446fed8570729dc4216eb
2025-08-14T21:29:15.6769845Z  * [new tag]                 trunk/f990490a23815ea6ee27e487c70ba2cf513ba43d -> trunk/f990490a23815ea6ee27e487c70ba2cf513ba43d
2025-08-14T21:29:15.6771063Z  * [new tag]                 trunk/fb887c3bb588cfe782615e67f6c26db636b8539b -> trunk/fb887c3bb588cfe782615e67f6c26db636b8539b
2025-08-14T21:29:15.6772837Z  * [new tag]                 trunk/fc25c68f20f772290927a7031b998b92615259cf -> trunk/fc25c68f20f772290927a7031b998b92615259cf
2025-08-14T21:29:15.6774065Z  * [new tag]                 trunk/fc80f6859e0ccf66513a40f04b9e735e759d4ddb -> trunk/fc80f6859e0ccf66513a40f04b9e735e759d4ddb
2025-08-14T21:29:15.6775332Z  * [new tag]                 trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb -> trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb
2025-08-14T21:29:15.6776527Z  * [new tag]                 trunk/fe3f5fe4ea2ff6f56406dc5d954636ebb08d0a08 -> trunk/fe3f5fe4ea2ff6f56406dc5d954636ebb08d0a08
2025-08-14T21:29:15.6777720Z  * [new tag]                 trunk/fea7e9dd37c02c334b130f6624af6163fde6b2ab -> trunk/fea7e9dd37c02c334b130f6624af6163fde6b2ab
2025-08-14T21:29:15.6778809Z  * [new tag]                 trunk/ff0d56d03592aa03f3ced8359241d21df1783393 -> trunk/ff0d56d03592aa03f3ced8359241d21df1783393
2025-08-14T21:29:15.6779773Z  * [new tag]                 v0.1.1                      -> v0.1.1
2025-08-14T21:29:15.6780970Z  * [new tag]                 v0.1.10                     -> v0.1.10
2025-08-14T21:29:15.6782003Z  * [new tag]                 v0.1.11                     -> v0.1.11
2025-08-14T21:29:15.6783202Z  * [new tag]                 v0.1.12                     -> v0.1.12
2025-08-14T21:29:15.6784193Z  * [new tag]                 v0.1.2                      -> v0.1.2
2025-08-14T21:29:15.6785234Z  * [new tag]                 v0.1.3                      -> v0.1.3
2025-08-14T21:29:15.6786823Z  * [new tag]                 v0.1.4                      -> v0.1.4
2025-08-14T21:29:15.6787939Z  * [new tag]                 v0.1.5                      -> v0.1.5
2025-08-14T21:29:15.6789038Z  * [new tag]                 v0.1.6                      -> v0.1.6
2025-08-14T21:29:15.6790103Z  * [new tag]                 v0.1.7                      -> v0.1.7
2025-08-14T21:29:15.6791181Z  * [new tag]                 v0.1.8                      -> v0.1.8
2025-08-14T21:29:15.6792234Z  * [new tag]                 v0.1.9                      -> v0.1.9
2025-08-14T21:29:15.6793394Z  * [new tag]                 v0.2.0                      -> v0.2.0
2025-08-14T21:29:15.6794541Z  * [new tag]                 v0.3.0                      -> v0.3.0
2025-08-14T21:29:15.6795732Z  * [new tag]                 v0.3.1                      -> v0.3.1
2025-08-14T21:29:15.6796883Z  * [new tag]                 v0.4.0                      -> v0.4.0
2025-08-14T21:29:15.6797991Z  * [new tag]                 v0.4.1                      -> v0.4.1
2025-08-14T21:29:15.6799109Z  * [new tag]                 v1.0.0                      -> v1.0.0
2025-08-14T21:29:15.6800279Z  * [new tag]                 v1.0.0a0                    -> v1.0.0a0
2025-08-14T21:29:15.6801493Z  * [new tag]                 v1.0.1                      -> v1.0.1
2025-08-14T21:29:15.6802850Z  * [new tag]                 v1.0rc0                     -> v1.0rc0
2025-08-14T21:29:15.6803769Z  * [new tag]                 v1.0rc1                     -> v1.0rc1
2025-08-14T21:29:15.6804892Z  * [new tag]                 v1.1.0                      -> v1.1.0
2025-08-14T21:29:15.6806044Z  * [new tag]                 v1.1.0a0                    -> v1.1.0a0
2025-08-14T21:29:15.6807307Z  * [new tag]                 v1.10.0                     -> v1.10.0
2025-08-14T21:29:15.6808516Z  * [new tag]                 v1.10.0-rc1                 -> v1.10.0-rc1
2025-08-14T21:29:15.6809648Z  * [new tag]                 v1.10.0-rc2                 -> v1.10.0-rc2
2025-08-14T21:29:15.6810678Z  * [new tag]                 v1.10.0-rc3                 -> v1.10.0-rc3
2025-08-14T21:29:15.6811930Z  * [new tag]                 v1.10.1                     -> v1.10.1
2025-08-14T21:29:15.6812999Z  * [new tag]                 v1.10.1-rc1                 -> v1.10.1-rc1
2025-08-14T21:29:15.6813948Z  * [new tag]                 v1.10.2                     -> v1.10.2
2025-08-14T21:29:15.6814909Z  * [new tag]                 v1.10.2-rc1                 -> v1.10.2-rc1
2025-08-14T21:29:15.6816066Z  * [new tag]                 v1.11.0                     -> v1.11.0
2025-08-14T21:29:15.6817299Z  * [new tag]                 v1.11.0-rc1                 -> v1.11.0-rc1
2025-08-14T21:29:15.6818549Z  * [new tag]                 v1.11.0-rc2                 -> v1.11.0-rc2
2025-08-14T21:29:15.6819746Z  * [new tag]                 v1.11.0-rc3                 -> v1.11.0-rc3
2025-08-14T21:29:15.6820951Z  * [new tag]                 v1.11.0-rc4                 -> v1.11.0-rc4
2025-08-14T21:29:15.6822070Z  * [new tag]                 v1.11.0-rc5                 -> v1.11.0-rc5
2025-08-14T21:29:15.6823028Z  * [new tag]                 v1.11.0-rc6                 -> v1.11.0-rc6
2025-08-14T21:29:15.6823986Z  * [new tag]                 v1.11.0-rc7                 -> v1.11.0-rc7
2025-08-14T21:29:15.6825162Z  * [new tag]                 v1.12.0                     -> v1.12.0
2025-08-14T21:29:15.6826290Z  * [new tag]                 v1.12.0-rc1                 -> v1.12.0-rc1
2025-08-14T21:29:15.6827455Z  * [new tag]                 v1.12.0-rc2                 -> v1.12.0-rc2
2025-08-14T21:29:15.6828621Z  * [new tag]                 v1.12.0-rc3                 -> v1.12.0-rc3
2025-08-14T21:29:15.6829913Z  * [new tag]                 v1.12.0-rc4                 -> v1.12.0-rc4
2025-08-14T21:29:15.6831009Z  * [new tag]                 v1.12.0-rc5                 -> v1.12.0-rc5
2025-08-14T21:29:15.6832209Z  * [new tag]                 v1.12.0-rc6                 -> v1.12.0-rc6
2025-08-14T21:29:15.6833159Z  * [new tag]                 v1.12.0-rc7                 -> v1.12.0-rc7
2025-08-14T21:29:15.6834078Z  * [new tag]                 v1.12.0-rc8                 -> v1.12.0-rc8
2025-08-14T21:29:15.6835042Z  * [new tag]                 v1.12.1                     -> v1.12.1
2025-08-14T21:29:15.6836239Z  * [new tag]                 v1.12.1-rc1                 -> v1.12.1-rc1
2025-08-14T21:29:15.6837557Z  * [new tag]                 v1.12.1-rc2                 -> v1.12.1-rc2
2025-08-14T21:29:15.6838742Z  * [new tag]                 v1.12.1-rc3                 -> v1.12.1-rc3
2025-08-14T21:29:15.6840006Z  * [new tag]                 v1.12.1-rc4                 -> v1.12.1-rc4
2025-08-14T21:29:15.6840954Z  * [new tag]                 v1.12.1-rc5                 -> v1.12.1-rc5
2025-08-14T21:29:15.6842215Z  * [new tag]                 v1.13.0                     -> v1.13.0
2025-08-14T21:29:15.6843428Z  * [new tag]                 v1.13.0-rc1                 -> v1.13.0-rc1
2025-08-14T21:29:15.6844600Z  * [new tag]                 v1.13.0-rc2                 -> v1.13.0-rc2
2025-08-14T21:29:15.6845679Z  * [new tag]                 v1.13.0-rc3                 -> v1.13.0-rc3
2025-08-14T21:29:15.6846982Z  * [new tag]                 v1.13.0-rc4                 -> v1.13.0-rc4
2025-08-14T21:29:15.6847917Z  * [new tag]                 v1.13.0-rc5                 -> v1.13.0-rc5
2025-08-14T21:29:15.6848867Z  * [new tag]                 v1.13.0-rc6                 -> v1.13.0-rc6
2025-08-14T21:29:15.6849978Z  * [new tag]                 v1.13.1                     -> v1.13.1
2025-08-14T21:29:15.6850992Z  * [new tag]                 v1.13.1-rc1                 -> v1.13.1-rc1
2025-08-14T21:29:15.6852141Z  * [new tag]                 v1.2.0                      -> v1.2.0
2025-08-14T21:29:15.6853290Z  * [new tag]                 v1.2.0a0                    -> v1.2.0a0
2025-08-14T21:29:15.6854419Z  * [new tag]                 v1.3.0                      -> v1.3.0
2025-08-14T21:29:15.6855518Z  * [new tag]                 v1.3.0a0                    -> v1.3.0a0
2025-08-14T21:29:15.6856596Z  * [new tag]                 v1.3.1                      -> v1.3.1
2025-08-14T21:29:15.6857679Z  * [new tag]                 v1.4.0                      -> v1.4.0
2025-08-14T21:29:15.6859318Z  * [new tag]                 v1.4.0a0                    -> v1.4.0a0
2025-08-14T21:29:15.6860312Z  * [new tag]                 v1.4.1                      -> v1.4.1
2025-08-14T21:29:15.6861471Z  * [new tag]                 v1.5.0                      -> v1.5.0
2025-08-14T21:29:15.6862687Z  * [new tag]                 v1.5.0-rc1                  -> v1.5.0-rc1
2025-08-14T21:29:15.6863840Z  * [new tag]                 v1.5.0-rc2                  -> v1.5.0-rc2
2025-08-14T21:29:15.6865100Z  * [new tag]                 v1.5.0-rc3                  -> v1.5.0-rc3
2025-08-14T21:29:15.6866146Z  * [new tag]                 v1.5.0-rc4                  -> v1.5.0-rc4
2025-08-14T21:29:15.6867067Z  * [new tag]                 v1.5.0-rc5                  -> v1.5.0-rc5
2025-08-14T21:29:15.6868276Z  * [new tag]                 v1.5.1                      -> v1.5.1
2025-08-14T21:29:15.6869261Z  * [new tag]                 v1.5.1-rc1                  -> v1.5.1-rc1
2025-08-14T21:29:15.6870219Z  * [new tag]                 v1.6.0                      -> v1.6.0
2025-08-14T21:29:15.6871363Z  * [new tag]                 v1.6.0-rc1                  -> v1.6.0-rc1
2025-08-14T21:29:15.6872551Z  * [new tag]                 v1.6.0-rc2                  -> v1.6.0-rc2
2025-08-14T21:29:15.6873833Z  * [new tag]                 v1.6.0-rc3                  -> v1.6.0-rc3
2025-08-14T21:29:15.6874919Z  * [new tag]                 v1.6.0-rc4                  -> v1.6.0-rc4
2025-08-14T21:29:15.6876131Z  * [new tag]                 v1.6.0-rc5                  -> v1.6.0-rc5
2025-08-14T21:29:15.6877369Z  * [new tag]                 v1.6.0-rc6                  -> v1.6.0-rc6
2025-08-14T21:29:15.6878201Z  * [new tag]                 v1.6.0-rc7                  -> v1.6.0-rc7
2025-08-14T21:29:15.6879404Z  * [new tag]                 v1.7.0                      -> v1.7.0
2025-08-14T21:29:15.6880592Z  * [new tag]                 v1.7.0-rc1                  -> v1.7.0-rc1
2025-08-14T21:29:15.6881918Z  * [new tag]                 v1.7.0-rc2                  -> v1.7.0-rc2
2025-08-14T21:29:15.6883216Z  * [new tag]                 v1.7.0-rc3                  -> v1.7.0-rc3
2025-08-14T21:29:15.6884142Z  * [new tag]                 v1.7.0-rc4                  -> v1.7.0-rc4
2025-08-14T21:29:15.6885308Z  * [new tag]                 v1.7.1                      -> v1.7.1
2025-08-14T21:29:15.6886555Z  * [new tag]                 v1.7.1-rc1                  -> v1.7.1-rc1
2025-08-14T21:29:15.6887746Z  * [new tag]                 v1.7.1-rc2                  -> v1.7.1-rc2
2025-08-14T21:29:15.6888727Z  * [new tag]                 v1.7.1-rc3                  -> v1.7.1-rc3
2025-08-14T21:29:15.6889879Z  * [new tag]                 v1.8.0                      -> v1.8.0
2025-08-14T21:29:15.6890840Z  * [new tag]                 v1.8.0-rc1                  -> v1.8.0-rc1
2025-08-14T21:29:15.6892090Z  * [new tag]                 v1.8.0-rc2                  -> v1.8.0-rc2
2025-08-14T21:29:15.6893234Z  * [new tag]                 v1.8.0-rc3                  -> v1.8.0-rc3
2025-08-14T21:29:15.6894367Z  * [new tag]                 v1.8.0-rc4                  -> v1.8.0-rc4
2025-08-14T21:29:15.6895328Z  * [new tag]                 v1.8.0-rc5                  -> v1.8.0-rc5
2025-08-14T21:29:15.6896309Z  * [new tag]                 v1.8.1                      -> v1.8.1
2025-08-14T21:29:15.6897480Z  * [new tag]                 v1.8.1-rc1                  -> v1.8.1-rc1
2025-08-14T21:29:15.6898449Z  * [new tag]                 v1.8.1-rc2                  -> v1.8.1-rc2
2025-08-14T21:29:15.6899402Z  * [new tag]                 v1.8.1-rc3                  -> v1.8.1-rc3
2025-08-14T21:29:15.6900954Z  * [new tag]                 v1.8.2                      -> v1.8.2
2025-08-14T21:29:15.6901892Z  * [new tag]                 v1.8.2-rc1                  -> v1.8.2-rc1
2025-08-14T21:29:15.6903081Z  * [new tag]                 v1.9.0                      -> v1.9.0
2025-08-14T21:29:15.6904173Z  * [new tag]                 v1.9.0-rc1                  -> v1.9.0-rc1
2025-08-14T21:29:15.6905454Z  * [new tag]                 v1.9.0-rc2                  -> v1.9.0-rc2
2025-08-14T21:29:15.6906677Z  * [new tag]                 v1.9.0-rc3                  -> v1.9.0-rc3
2025-08-14T21:29:15.6907645Z  * [new tag]                 v1.9.0-rc4                  -> v1.9.0-rc4
2025-08-14T21:29:15.6908875Z  * [new tag]                 v1.9.1                      -> v1.9.1
2025-08-14T21:29:15.6910240Z  * [new tag]                 v1.9.1-rc1                  -> v1.9.1-rc1
2025-08-14T21:29:15.6911258Z  * [new tag]                 v1.9.1-rc2                  -> v1.9.1-rc2
2025-08-14T21:29:15.6914993Z  * [new tag]                 v2.0.0                      -> v2.0.0
2025-08-14T21:29:15.6916213Z  * [new tag]                 v2.0.0-rc1                  -> v2.0.0-rc1
2025-08-14T21:29:15.6917430Z  * [new tag]                 v2.0.0-rc2                  -> v2.0.0-rc2
2025-08-14T21:29:15.6918626Z  * [new tag]                 v2.0.0-rc3                  -> v2.0.0-rc3
2025-08-14T21:29:15.6919748Z  * [new tag]                 v2.0.0-rc4                  -> v2.0.0-rc4
2025-08-14T21:29:15.6920895Z  * [new tag]                 v2.0.0-rc5                  -> v2.0.0-rc5
2025-08-14T21:29:15.6921835Z  * [new tag]                 v2.0.0-rc6                  -> v2.0.0-rc6
2025-08-14T21:29:15.6923254Z  * [new tag]                 v2.0.1                      -> v2.0.1
2025-08-14T21:29:15.6924428Z  * [new tag]                 v2.0.1-rc1                  -> v2.0.1-rc1
2025-08-14T21:29:15.6925429Z  * [new tag]                 v2.0.1-rc2                  -> v2.0.1-rc2
2025-08-14T21:29:15.6926654Z  * [new tag]                 v2.0.1-rc3                  -> v2.0.1-rc3
2025-08-14T21:29:15.6927361Z  * [new tag]                 v2.0.1-rc4                  -> v2.0.1-rc4
2025-08-14T21:29:15.6929050Z  * [new tag]                 v2.1.0                      -> v2.1.0
2025-08-14T21:29:15.6930167Z  * [new tag]                 v2.1.0-rc1                  -> v2.1.0-rc1
2025-08-14T21:29:15.6931385Z  * [new tag]                 v2.1.0-rc2                  -> v2.1.0-rc2
2025-08-14T21:29:15.6932581Z  * [new tag]                 v2.1.0-rc3                  -> v2.1.0-rc3
2025-08-14T21:29:15.6933805Z  * [new tag]                 v2.1.0-rc4                  -> v2.1.0-rc4
2025-08-14T21:29:15.6935360Z  * [new tag]                 v2.1.0-rc5                  -> v2.1.0-rc5
2025-08-14T21:29:15.6936349Z  * [new tag]                 v2.1.0-rc6                  -> v2.1.0-rc6
2025-08-14T21:29:15.6937553Z  * [new tag]                 v2.1.1                      -> v2.1.1
2025-08-14T21:29:15.6938751Z  * [new tag]                 v2.1.1-rc1                  -> v2.1.1-rc1
2025-08-14T21:29:15.6939865Z  * [new tag]                 v2.1.1-rc2                  -> v2.1.1-rc2
2025-08-14T21:29:15.6941108Z  * [new tag]                 v2.1.1-rc3                  -> v2.1.1-rc3
2025-08-14T21:29:15.6942313Z  * [new tag]                 v2.1.1-rc4                  -> v2.1.1-rc4
2025-08-14T21:29:15.6943440Z  * [new tag]                 v2.1.1-rc5                  -> v2.1.1-rc5
2025-08-14T21:29:15.6944390Z  * [new tag]                 v2.1.1-rc6                  -> v2.1.1-rc6
2025-08-14T21:29:15.6945593Z  * [new tag]                 v2.1.2                      -> v2.1.2
2025-08-14T21:29:15.6946775Z  * [new tag]                 v2.1.2-rc1                  -> v2.1.2-rc1
2025-08-14T21:29:15.6947974Z  * [new tag]                 v2.1.2-rc2                  -> v2.1.2-rc2
2025-08-14T21:29:15.6949306Z  * [new tag]                 v2.1.2-rc3                  -> v2.1.2-rc3
2025-08-14T21:29:15.6950400Z  * [new tag]                 v2.2.0                      -> v2.2.0
2025-08-14T21:29:15.6951624Z  * [new tag]                 v2.2.0-rc1                  -> v2.2.0-rc1
2025-08-14T21:29:15.6952719Z  * [new tag]                 v2.2.0-rc2                  -> v2.2.0-rc2
2025-08-14T21:29:15.6953913Z  * [new tag]                 v2.2.0-rc3                  -> v2.2.0-rc3
2025-08-14T21:29:15.6954974Z  * [new tag]                 v2.2.0-rc4                  -> v2.2.0-rc4
2025-08-14T21:29:15.6956127Z  * [new tag]                 v2.2.0-rc5                  -> v2.2.0-rc5
2025-08-14T21:29:15.6957256Z  * [new tag]                 v2.2.0-rc6                  -> v2.2.0-rc6
2025-08-14T21:29:15.6958129Z  * [new tag]                 v2.2.0-rc7                  -> v2.2.0-rc7
2025-08-14T21:29:15.6959287Z  * [new tag]                 v2.2.0-rc8                  -> v2.2.0-rc8
2025-08-14T21:29:15.6960445Z  * [new tag]                 v2.2.1                      -> v2.2.1
2025-08-14T21:29:15.6961697Z  * [new tag]                 v2.2.1-rc1                  -> v2.2.1-rc1
2025-08-14T21:29:15.6962718Z  * [new tag]                 v2.2.1-rc2                  -> v2.2.1-rc2
2025-08-14T21:29:15.6963647Z  * [new tag]                 v2.2.1-rc3                  -> v2.2.1-rc3
2025-08-14T21:29:15.6964641Z  * [new tag]                 v2.2.2                      -> v2.2.2
2025-08-14T21:29:15.6965925Z  * [new tag]                 v2.2.2-rc1                  -> v2.2.2-rc1
2025-08-14T21:29:15.6966828Z  * [new tag]                 v2.2.2-rc2                  -> v2.2.2-rc2
2025-08-14T21:29:15.6967940Z  * [new tag]                 v2.2.2-rc3                  -> v2.2.2-rc3
2025-08-14T21:29:15.6969078Z  * [new tag]                 v2.3.0                      -> v2.3.0
2025-08-14T21:29:15.6970199Z  * [new tag]                 v2.3.0-rc1                  -> v2.3.0-rc1
2025-08-14T21:29:15.6971387Z  * [new tag]                 v2.3.0-rc10                 -> v2.3.0-rc10
2025-08-14T21:29:15.6972660Z  * [new tag]                 v2.3.0-rc11                 -> v2.3.0-rc11
2025-08-14T21:29:15.6973643Z  * [new tag]                 v2.3.0-rc12                 -> v2.3.0-rc12
2025-08-14T21:29:15.6974845Z  * [new tag]                 v2.3.0-rc2                  -> v2.3.0-rc2
2025-08-14T21:29:15.6975991Z  * [new tag]                 v2.3.0-rc3                  -> v2.3.0-rc3
2025-08-14T21:29:15.6977145Z  * [new tag]                 v2.3.0-rc4                  -> v2.3.0-rc4
2025-08-14T21:29:15.6978284Z  * [new tag]                 v2.3.0-rc5                  -> v2.3.0-rc5
2025-08-14T21:29:15.6979156Z  * [new tag]                 v2.3.0-rc6                  -> v2.3.0-rc6
2025-08-14T21:29:15.6980395Z  * [new tag]                 v2.3.0-rc7                  -> v2.3.0-rc7
2025-08-14T21:29:15.6981573Z  * [new tag]                 v2.3.0-rc8                  -> v2.3.0-rc8
2025-08-14T21:29:15.6982405Z  * [new tag]                 v2.3.0-rc9                  -> v2.3.0-rc9
2025-08-14T21:29:15.6983470Z  * [new tag]                 v2.3.1                      -> v2.3.1
2025-08-14T21:29:15.6984660Z  * [new tag]                 v2.3.1-rc1                  -> v2.3.1-rc1
2025-08-14T21:29:15.6985916Z  * [new tag]                 v2.3.1-rc2                  -> v2.3.1-rc2
2025-08-14T21:29:15.6987092Z  * [new tag]                 v2.3.1-rc3                  -> v2.3.1-rc3
2025-08-14T21:29:15.6988287Z  * [new tag]                 v2.4.0                      -> v2.4.0
2025-08-14T21:29:15.6989451Z  * [new tag]                 v2.4.0-rc1                  -> v2.4.0-rc1
2025-08-14T21:29:15.6990619Z  * [new tag]                 v2.4.0-rc2                  -> v2.4.0-rc2
2025-08-14T21:29:15.6991777Z  * [new tag]                 v2.4.0-rc3                  -> v2.4.0-rc3
2025-08-14T21:29:15.6992903Z  * [new tag]                 v2.4.0-rc4                  -> v2.4.0-rc4
2025-08-14T21:29:15.6994153Z  * [new tag]                 v2.4.0-rc5                  -> v2.4.0-rc5
2025-08-14T21:29:15.6995324Z  * [new tag]                 v2.4.0-rc6                  -> v2.4.0-rc6
2025-08-14T21:29:15.6996508Z  * [new tag]                 v2.4.0-rc7                  -> v2.4.0-rc7
2025-08-14T21:29:15.6997666Z  * [new tag]                 v2.4.0-rc8                  -> v2.4.0-rc8
2025-08-14T21:29:15.6998874Z  * [new tag]                 v2.4.0-rc9                  -> v2.4.0-rc9
2025-08-14T21:29:15.6999743Z  * [new tag]                 v2.4.1                      -> v2.4.1
2025-08-14T21:29:15.7001044Z  * [new tag]                 v2.4.1-rc1                  -> v2.4.1-rc1
2025-08-14T21:29:15.7002279Z  * [new tag]                 v2.4.1-rc2                  -> v2.4.1-rc2
2025-08-14T21:29:15.7003580Z  * [new tag]                 v2.4.1-rc3                  -> v2.4.1-rc3
2025-08-14T21:29:15.7004722Z  * [new tag]                 v2.5.0                      -> v2.5.0
2025-08-14T21:29:15.7005857Z  * [new tag]                 v2.5.0-rc1                  -> v2.5.0-rc1
2025-08-14T21:29:15.7006760Z  * [new tag]                 v2.5.0-rc10                 -> v2.5.0-rc10
2025-08-14T21:29:15.7008444Z  * [new tag]                 v2.5.0-rc2                  -> v2.5.0-rc2
2025-08-14T21:29:15.7009624Z  * [new tag]                 v2.5.0-rc3                  -> v2.5.0-rc3
2025-08-14T21:29:15.7010793Z  * [new tag]                 v2.5.0-rc4                  -> v2.5.0-rc4
2025-08-14T21:29:15.7012230Z  * [new tag]                 v2.5.0-rc5                  -> v2.5.0-rc5
2025-08-14T21:29:15.7013552Z  * [new tag]                 v2.5.0-rc6                  -> v2.5.0-rc6
2025-08-14T21:29:15.7014687Z  * [new tag]                 v2.5.0-rc7                  -> v2.5.0-rc7
2025-08-14T21:29:15.7015843Z  * [new tag]                 v2.5.0-rc8                  -> v2.5.0-rc8
2025-08-14T21:29:15.7017033Z  * [new tag]                 v2.5.0-rc9                  -> v2.5.0-rc9
2025-08-14T21:29:15.7017941Z  * [new tag]                 v2.5.1                      -> v2.5.1
2025-08-14T21:29:15.7019066Z  * [new tag]                 v2.5.1-rc1                  -> v2.5.1-rc1
2025-08-14T21:29:15.7019776Z  * [new tag]                 v2.6.0                      -> v2.6.0
2025-08-14T21:29:15.7021283Z  * [new tag]                 v2.6.0-rc1                  -> v2.6.0-rc1
2025-08-14T21:29:15.7022331Z  * [new tag]                 v2.6.0-rc2                  -> v2.6.0-rc2
2025-08-14T21:29:15.7023635Z  * [new tag]                 v2.6.0-rc3                  -> v2.6.0-rc3
2025-08-14T21:29:15.7024760Z  * [new tag]                 v2.6.0-rc4                  -> v2.6.0-rc4
2025-08-14T21:29:15.7026166Z  * [new tag]                 v2.6.0-rc5                  -> v2.6.0-rc5
2025-08-14T21:29:15.7027476Z  * [new tag]                 v2.6.0-rc6                  -> v2.6.0-rc6
2025-08-14T21:29:15.7028633Z  * [new tag]                 v2.6.0-rc7                  -> v2.6.0-rc7
2025-08-14T21:29:15.7029899Z  * [new tag]                 v2.6.0-rc8                  -> v2.6.0-rc8
2025-08-14T21:29:15.7031081Z  * [new tag]                 v2.6.0-rc9                  -> v2.6.0-rc9
2025-08-14T21:29:15.7032427Z  * [new tag]                 v2.7.0                      -> v2.7.0
2025-08-14T21:29:15.7033642Z  * [new tag]                 v2.7.0-rc1                  -> v2.7.0-rc1
2025-08-14T21:29:15.7034513Z  * [new tag]                 v2.7.0-rc10                 -> v2.7.0-rc10
2025-08-14T21:29:15.7035851Z  * [new tag]                 v2.7.0-rc2                  -> v2.7.0-rc2
2025-08-14T21:29:15.7037159Z  * [new tag]                 v2.7.0-rc3                  -> v2.7.0-rc3
2025-08-14T21:29:15.7038300Z  * [new tag]                 v2.7.0-rc4                  -> v2.7.0-rc4
2025-08-14T21:29:15.7039446Z  * [new tag]                 v2.7.0-rc5                  -> v2.7.0-rc5
2025-08-14T21:29:15.7040675Z  * [new tag]                 v2.7.0-rc6                  -> v2.7.0-rc6
2025-08-14T21:29:15.7041992Z  * [new tag]                 v2.7.0-rc7                  -> v2.7.0-rc7
2025-08-14T21:29:15.7043220Z  * [new tag]                 v2.7.0-rc8                  -> v2.7.0-rc8
2025-08-14T21:29:15.7044427Z  * [new tag]                 v2.7.0-rc9                  -> v2.7.0-rc9
2025-08-14T21:29:15.7045241Z  * [new tag]                 v2.7.1                      -> v2.7.1
2025-08-14T21:29:15.7046627Z  * [new tag]                 v2.7.1-rc1                  -> v2.7.1-rc1
2025-08-14T21:29:15.7047835Z  * [new tag]                 v2.7.1-rc2                  -> v2.7.1-rc2
2025-08-14T21:29:15.7049068Z  * [new tag]                 v2.7.1-rc3                  -> v2.7.1-rc3
2025-08-14T21:29:15.7050341Z  * [new tag]                 v2.7.1-rc4                  -> v2.7.1-rc4
2025-08-14T21:29:15.7051561Z  * [new tag]                 v2.7.1-rc5                  -> v2.7.1-rc5
2025-08-14T21:29:15.7052398Z  * [new tag]                 v2.8.0                      -> v2.8.0
2025-08-14T21:29:15.7053750Z  * [new tag]                 v2.8.0-rc1                  -> v2.8.0-rc1
2025-08-14T21:29:15.7054903Z  * [new tag]                 v2.8.0-rc2                  -> v2.8.0-rc2
2025-08-14T21:29:15.7056225Z  * [new tag]                 v2.8.0-rc3                  -> v2.8.0-rc3
2025-08-14T21:29:15.7057403Z  * [new tag]                 v2.8.0-rc4                  -> v2.8.0-rc4
2025-08-14T21:29:15.7058675Z  * [new tag]                 v2.8.0-rc5                  -> v2.8.0-rc5
2025-08-14T21:29:15.7059883Z  * [new tag]                 v2.8.0-rc6                  -> v2.8.0-rc6
2025-08-14T21:29:15.7061059Z  * [new tag]                 v2.8.0-rc7                  -> v2.8.0-rc7
2025-08-14T21:29:15.7062311Z  * [new tag]                 v2.8.0-rc8                  -> v2.8.0-rc8
2025-08-14T21:29:15.7063465Z  * [new tag]                 whc_flight_1                -> whc_flight_1
2025-08-14T21:29:15.7064316Z  * [new tag]                 whc_flight_2                -> whc_flight_2
2025-08-14T21:29:15.7065609Z  * [new tag]                 whc_flight_4                -> whc_flight_4
2025-08-14T21:29:15.7756444Z [command]/usr/bin/git rev-parse --verify --quiet 1fc683cf17c8c673044538d10266c00f92987be2^{object}
2025-08-14T21:29:15.7779295Z 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:29:15.7783860Z ##[endgroup]
2025-08-14T21:29:15.7784253Z ##[group]Determining the checkout info
2025-08-14T21:29:15.7785318Z ##[endgroup]
2025-08-14T21:29:15.7789631Z [command]/usr/bin/git sparse-checkout disable
2025-08-14T21:29:15.7822317Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-08-14T21:29:15.7845674Z ##[group]Checking out the ref
2025-08-14T21:29:15.7849404Z [command]/usr/bin/git checkout --progress --force 1fc683cf17c8c673044538d10266c00f92987be2
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2025-08-14T21:29:17.1723144Z Updating files: 100% (19474/19474), done.
2025-08-14T21:29:17.1951244Z Note: switching to '1fc683cf17c8c673044538d10266c00f92987be2'.
2025-08-14T21:29:17.1951529Z 
2025-08-14T21:29:17.1951739Z You are in 'detached HEAD' state. You can look around, make experimental
2025-08-14T21:29:17.1952279Z changes and commit them, and you can discard any commits you make in this
2025-08-14T21:29:17.1952792Z state without impacting any branches by switching back to a branch.
2025-08-14T21:29:17.1953077Z 
2025-08-14T21:29:17.1953531Z If you want to create a new branch to retain commits you create, you may
2025-08-14T21:29:17.1954000Z do so (now or later) by using -c with the switch command. Example:
2025-08-14T21:29:17.1954267Z 
2025-08-14T21:29:17.1954379Z   git switch -c <new-branch-name>
2025-08-14T21:29:17.1954564Z 
2025-08-14T21:29:17.1954681Z Or undo this operation with:
2025-08-14T21:29:17.1954848Z 
2025-08-14T21:29:17.1954957Z   git switch -
2025-08-14T21:29:17.1955093Z 
2025-08-14T21:29:17.1955319Z Turn off this advice by setting config variable advice.detachedHead to false
2025-08-14T21:29:17.1955643Z 
2025-08-14T21:29:17.1955998Z HEAD is now at 1fc683cf17c [Inductor] Allow indexing a flexible layout for extract_input_node_reduction_ranges (#160645)
2025-08-14T21:29:17.2066237Z ##[endgroup]
2025-08-14T21:29:17.2066658Z ##[group]Setting up auth for fetching submodules
2025-08-14T21:29:17.2072256Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-08-14T21:29:17.2117769Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-08-14T21:29:17.2144903Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-08-14T21:29:17.2173632Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-08-14T21:29:17.2195876Z ##[endgroup]
2025-08-14T21:29:17.2196267Z ##[group]Fetching submodules
2025-08-14T21:29:17.2199430Z [command]/usr/bin/git submodule sync --recursive
2025-08-14T21:29:17.2542904Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive
2025-08-14T21:29:17.2849597Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni'
2025-08-14T21:29:17.3248285Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16'
2025-08-14T21:29:17.3251624Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv'
2025-08-14T21:29:17.3255282Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK'
2025-08-14T21:29:17.3259119Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX'
2025-08-14T21:29:17.3263197Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator'
2025-08-14T21:29:17.3267077Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK'
2025-08-14T21:29:17.3271440Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter'
2025-08-14T21:29:17.3286940Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark'
2025-08-14T21:29:17.3291124Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel'
2025-08-14T21:29:17.3295118Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib'
2025-08-14T21:29:17.3299562Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo'
2025-08-14T21:29:17.3303908Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend'
2025-08-14T21:29:17.3308204Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass'
2025-08-14T21:29:17.3324595Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm'
2025-08-14T21:29:17.3328973Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention'
2025-08-14T21:29:17.3333309Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers'
2025-08-14T21:29:17.3337662Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt'
2025-08-14T21:29:17.3345144Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp'
2025-08-14T21:29:17.3349680Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo'
2025-08-14T21:29:17.3354383Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest'
2025-08-14T21:29:17.3370882Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep'
2025-08-14T21:29:17.3375561Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi'
2025-08-14T21:29:17.3380254Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto'
2025-08-14T21:29:17.3385246Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai'
2025-08-14T21:29:17.3390149Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc'
2025-08-14T21:29:17.3395067Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann'
2025-08-14T21:29:17.3411529Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx'
2025-08-14T21:29:17.3417700Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp'
2025-08-14T21:29:17.3422329Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft'
2025-08-14T21:29:17.3427541Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf'
2025-08-14T21:29:17.3432823Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd'
2025-08-14T21:29:17.3438270Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool'
2025-08-14T21:29:17.3443642Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11'
2025-08-14T21:29:17.3461365Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy'
2025-08-14T21:29:17.3469755Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef'
2025-08-14T21:29:17.3475270Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe'
2025-08-14T21:29:17.3506296Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'...
2025-08-14T21:29:17.5833467Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'...
2025-08-14T21:29:17.5834241Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'...
2025-08-14T21:29:17.5865617Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'...
2025-08-14T21:29:20.2576354Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'...
2025-08-14T21:29:20.2577685Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'...
2025-08-14T21:29:20.2578887Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'...
2025-08-14T21:29:20.2580078Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'...
2025-08-14T21:29:20.2630483Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'...
2025-08-14T21:29:20.2631665Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'...
2025-08-14T21:29:20.2632731Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'...
2025-08-14T21:29:20.2633807Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'...
2025-08-14T21:29:20.2634868Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'...
2025-08-14T21:29:20.2635939Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'...
2025-08-14T21:29:20.2643911Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'...
2025-08-14T21:29:20.2645007Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'...
2025-08-14T21:29:20.2646094Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'...
2025-08-14T21:29:20.2647148Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'...
2025-08-14T21:29:20.2648358Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'...
2025-08-14T21:29:20.2650035Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'...
2025-08-14T21:29:20.2651061Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'...
2025-08-14T21:29:20.2653313Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'...
2025-08-14T21:29:20.2654285Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'...
2025-08-14T21:29:20.3578432Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'...
2025-08-14T21:29:21.2713551Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'...
2025-08-14T21:29:21.2714612Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'...
2025-08-14T21:29:21.2715509Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'...
2025-08-14T21:29:21.3034810Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'...
2025-08-14T21:29:23.5037021Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'...
2025-08-14T21:29:23.5038023Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'...
2025-08-14T21:29:23.5038973Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'...
2025-08-14T21:29:23.5040011Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'...
2025-08-14T21:29:23.6038700Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'...
2025-08-14T21:29:34.1403039Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'...
2025-08-14T21:29:34.1403897Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'...
2025-08-14T21:29:34.1404626Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'...
2025-08-14T21:29:34.1405327Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'...
2025-08-14T21:29:34.1582278Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f'
2025-08-14T21:29:34.1717560Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3'
2025-08-14T21:29:34.1832583Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1'
2025-08-14T21:29:34.2118610Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73'
2025-08-14T21:29:34.2930738Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07'
2025-08-14T21:29:34.3480271Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1'
2025-08-14T21:29:35.1998866Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883'
2025-08-14T21:29:35.3562971Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150'
2025-08-14T21:29:35.3583933Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel'
2025-08-14T21:29:35.3612028Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'...
2025-08-14T21:29:38.1791194Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf'
2025-08-14T21:29:38.2062794Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f'
2025-08-14T21:29:38.5700958Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-08-14T21:29:38.6246157Z Submodule path 'third_party/cpp-httplib': checked out '3af7f2c16147f3fbc6e4d717032daf505dc1652c'
2025-08-14T21:29:38.7234846Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d'
2025-08-14T21:29:38.7687383Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6'
2025-08-14T21:29:39.4543516Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491'
2025-08-14T21:29:39.6078705Z Submodule path 'third_party/fbgemm': checked out '21c7d30c526c0f1ad873ecc632dca6cfa8a69067'
2025-08-14T21:29:39.6106089Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit'
2025-08-14T21:29:39.6108973Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel'
2025-08-14T21:29:39.6111512Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo'
2025-08-14T21:29:39.6114757Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass'
2025-08-14T21:29:39.6118003Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest'
2025-08-14T21:29:39.6121593Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch'
2025-08-14T21:29:39.6124778Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json'
2025-08-14T21:29:39.6158057Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'...
2025-08-14T21:29:40.8579055Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'...
2025-08-14T21:29:40.8579820Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'...
2025-08-14T21:29:40.8580472Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'...
2025-08-14T21:29:40.8581415Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'...
2025-08-14T21:29:40.9580465Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'...
2025-08-14T21:29:41.7203009Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'...
2025-08-14T21:29:45.6199805Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea'
2025-08-14T21:29:45.9323700Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9'
2025-08-14T21:29:46.0311652Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349'
2025-08-14T21:29:46.6981594Z Submodule path 'third_party/fbgemm/external/cutlass': checked out 'b40777404c174b9694a870bff5c13ce6b7f656ad'
2025-08-14T21:29:46.7445641Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-08-14T21:29:46.7575346Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out 'a4337c69fe0e2552a7b7b0669178926beeed828c'
2025-08-14T21:29:46.8703017Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03'
2025-08-14T21:29:46.9510031Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5'
2025-08-14T21:29:46.9536955Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel'
2025-08-14T21:29:46.9539530Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass'
2025-08-14T21:29:46.9568033Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'...
2025-08-14T21:29:49.6166128Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'...
2025-08-14T21:29:49.8992943Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33'
2025-08-14T21:29:50.5075567Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420'
2025-08-14T21:29:50.6644795Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757'
2025-08-14T21:29:50.6983855Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21'
2025-08-14T21:29:50.7375687Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350'
2025-08-14T21:29:50.7662217Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2'
2025-08-14T21:29:50.8114548Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-08-14T21:29:50.8267450Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3'
2025-08-14T21:29:50.8285164Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn'
2025-08-14T21:29:50.8316755Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'...
2025-08-14T21:29:59.9406781Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d'
2025-08-14T21:29:59.9644039Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959'
2025-08-14T21:30:00.0489377Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658'
2025-08-14T21:30:00.0507978Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-14T21:30:00.0510867Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt'
2025-08-14T21:30:00.0514765Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest'
2025-08-14T21:30:00.0542836Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'...
2025-08-14T21:30:00.6846534Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'...
2025-08-14T21:30:01.1802618Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'...
2025-08-14T21:30:01.2602804Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e'
2025-08-14T21:30:01.2621397Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-14T21:30:01.2624763Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-14T21:30:01.2627547Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-14T21:30:01.2630712Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-14T21:30:01.2633865Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-14T21:30:01.2637237Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-14T21:30:01.2640577Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-14T21:30:01.2644043Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-14T21:30:01.2674348Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'...
2025-08-14T21:30:02.5114792Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'...
2025-08-14T21:30:02.5115701Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'...
2025-08-14T21:30:02.5116610Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'...
2025-08-14T21:30:02.5117438Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'...
2025-08-14T21:30:02.5118264Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'...
2025-08-14T21:30:02.5543687Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'...
2025-08-14T21:30:02.6545039Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'...
2025-08-14T21:30:07.2776403Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9'
2025-08-14T21:30:07.2988370Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400'
2025-08-14T21:30:07.3369665Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05'
2025-08-14T21:30:07.3522574Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067'
2025-08-14T21:30:07.3540198Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-14T21:30:07.3567105Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'...
2025-08-14T21:30:07.6325112Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4'
2025-08-14T21:30:07.6528569Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446'
2025-08-14T21:30:07.6949273Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850'
2025-08-14T21:30:07.7995426Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5'
2025-08-14T21:30:07.8179281Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150'
2025-08-14T21:30:07.8558684Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164'
2025-08-14T21:30:07.9141335Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347'
2025-08-14T21:30:07.9618965Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7'
2025-08-14T21:30:08.0035720Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e'
2025-08-14T21:30:08.1239686Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72'
2025-08-14T21:30:08.6331775Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83'
2025-08-14T21:30:08.6367211Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11'
2025-08-14T21:30:08.6396619Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'...
2025-08-14T21:30:09.4383310Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-08-14T21:30:09.5251494Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878'
2025-08-14T21:30:09.5272137Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-14T21:30:09.5275056Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-14T21:30:09.5277854Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-14T21:30:09.5280767Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-14T21:30:09.5284264Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-14T21:30:09.5287381Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-14T21:30:09.5290524Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-14T21:30:09.5293653Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-14T21:30:09.5322402Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'...
2025-08-14T21:30:10.0236809Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'...
2025-08-14T21:30:10.0238089Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'...
2025-08-14T21:30:10.0239339Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'...
2025-08-14T21:30:10.0240688Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'...
2025-08-14T21:30:10.1238284Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'...
2025-08-14T21:30:10.6812575Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'...
2025-08-14T21:30:16.2652288Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'...
2025-08-14T21:30:16.7714833Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2'
2025-08-14T21:30:16.8137373Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1'
2025-08-14T21:30:16.8321336Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa'
2025-08-14T21:30:16.9450494Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d'
2025-08-14T21:30:16.9609991Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce'
2025-08-14T21:30:16.9787871Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5'
2025-08-14T21:30:16.9977495Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d'
2025-08-14T21:30:16.9994610Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-14T21:30:16.9997408Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-14T21:30:17.0024954Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'...
2025-08-14T21:30:18.8724824Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'...
2025-08-14T21:30:19.1094357Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4'
2025-08-14T21:30:19.1561459Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-08-14T21:30:19.7544242Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50'
2025-08-14T21:30:19.7674356Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa'
2025-08-14T21:30:20.0478153Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a'
2025-08-14T21:30:20.0500536Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark'
2025-08-14T21:30:20.0503579Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest'
2025-08-14T21:30:20.0531780Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'...
2025-08-14T21:30:20.5222073Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'...
2025-08-14T21:30:20.8484581Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8'
2025-08-14T21:30:20.9181885Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081'
2025-08-14T21:30:20.9290129Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900'
2025-08-14T21:30:20.9422701Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8'
2025-08-14T21:30:20.9817991Z Submodule path 'third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
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2025-08-14T21:30:21.0875330Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest'
2025-08-14T21:30:21.0878192Z Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop'
2025-08-14T21:30:21.0881167Z Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv'
2025-08-14T21:30:21.0884515Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11'
2025-08-14T21:30:21.0912632Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/googletest'...
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2025-08-14T21:30:22.5680261Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0
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2025-08-14T21:30:22.9704146Z ##[endgroup]
2025-08-14T21:30:22.9704739Z ##[group]Persisting credentials for submodules
2025-08-14T21:30:22.9710926Z [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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2025-08-14T21:30:23.4494990Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-14T21:30:23.4552473Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-14T21:30:23.4613795Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-14T21:30:23.4671851Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-14T21:30:23.4730478Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-14T21:30:23.4809734Z [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"
2025-08-14T21:30:23.5114898Z Entering 'android/libs/fbjni'
2025-08-14T21:30:23.5169017Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config	remote.origin.url
2025-08-14T21:30:23.5189125Z Entering 'third_party/FP16'
2025-08-14T21:30:23.5243589Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config	remote.origin.url
2025-08-14T21:30:23.5262146Z Entering 'third_party/FXdiv'
2025-08-14T21:30:23.5314764Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config	remote.origin.url
2025-08-14T21:30:23.5332657Z Entering 'third_party/NNPACK'
2025-08-14T21:30:23.5385747Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config	remote.origin.url
2025-08-14T21:30:23.5403961Z Entering 'third_party/NVTX'
2025-08-14T21:30:23.5456596Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config	remote.origin.url
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2025-08-14T21:30:23.5532244Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config	remote.origin.url
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2025-08-14T21:30:23.5610428Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config	remote.origin.url
2025-08-14T21:30:23.5642031Z Entering 'third_party/aiter'
2025-08-14T21:30:23.5697477Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/config	remote.origin.url
2025-08-14T21:30:23.5714558Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-08-14T21:30:23.5769605Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config	remote.origin.url
2025-08-14T21:30:23.5798183Z Entering 'third_party/benchmark'
2025-08-14T21:30:23.5858679Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config	remote.origin.url
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2025-08-14T21:30:23.5930679Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config	remote.origin.url
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2025-08-14T21:30:24.2986170Z Entering 'third_party/fbgemm/external/json'
2025-08-14T21:30:24.3033766Z Entering 'third_party/flash-attention'
2025-08-14T21:30:24.3081367Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-08-14T21:30:24.3130781Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-08-14T21:30:24.3182711Z Entering 'third_party/flatbuffers'
2025-08-14T21:30:24.3230584Z Entering 'third_party/fmt'
2025-08-14T21:30:24.3276114Z Entering 'third_party/gemmlowp/gemmlowp'
2025-08-14T21:30:24.3322475Z Entering 'third_party/gloo'
2025-08-14T21:30:24.3368313Z Entering 'third_party/googletest'
2025-08-14T21:30:24.3413353Z Entering 'third_party/ideep'
2025-08-14T21:30:24.3458022Z Entering 'third_party/ideep/mkl-dnn'
2025-08-14T21:30:24.3509323Z Entering 'third_party/ittapi'
2025-08-14T21:30:24.3554538Z Entering 'third_party/kineto'
2025-08-14T21:30:24.3601370Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-14T21:30:24.3646051Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-14T21:30:24.3696622Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-14T21:30:24.3741224Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-14T21:30:24.3784609Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-14T21:30:24.3829760Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-14T21:30:24.3876134Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-14T21:30:24.3921628Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-14T21:30:24.3966845Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-14T21:30:24.4012819Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-14T21:30:24.4058556Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-08-14T21:30:24.4101636Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-08-14T21:30:24.4149164Z Entering 'third_party/kleidiai'
2025-08-14T21:30:24.4195200Z Entering 'third_party/mimalloc'
2025-08-14T21:30:24.4242730Z Entering 'third_party/nlohmann'
2025-08-14T21:30:24.4290232Z Entering 'third_party/onnx'
2025-08-14T21:30:24.4347836Z Entering 'third_party/onnx/third_party/pybind11'
2025-08-14T21:30:24.4396112Z Entering 'third_party/opentelemetry-cpp'
2025-08-14T21:30:24.4442798Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-14T21:30:24.4486441Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-14T21:30:24.4533955Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-14T21:30:24.4580136Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-14T21:30:24.4625199Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-14T21:30:24.4670410Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-14T21:30:24.4712991Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-14T21:30:24.4758014Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-14T21:30:24.4803206Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-14T21:30:24.4855371Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-14T21:30:24.4917352Z Entering 'third_party/pocketfft'
2025-08-14T21:30:24.4963071Z Entering 'third_party/protobuf'
2025-08-14T21:30:24.5015204Z Entering 'third_party/protobuf/third_party/benchmark'
2025-08-14T21:30:24.5060003Z Entering 'third_party/protobuf/third_party/googletest'
2025-08-14T21:30:24.5106250Z Entering 'third_party/psimd'
2025-08-14T21:30:24.5152166Z Entering 'third_party/pthreadpool'
2025-08-14T21:30:24.5196997Z Entering 'third_party/pybind11'
2025-08-14T21:30:24.5243055Z Entering 'third_party/python-peachpy'
2025-08-14T21:30:24.5288172Z Entering 'third_party/sleef'
2025-08-14T21:30:24.5332153Z Entering 'third_party/tensorpipe'
2025-08-14T21:30:24.5375290Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-14T21:30:24.5420279Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-14T21:30:24.5463721Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-14T21:30:24.5507253Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-14T21:30:24.5550722Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-14T21:30:24.5621105Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-08-14T21:30:24.5928099Z Entering 'android/libs/fbjni'
2025-08-14T21:30:24.5973854Z Entering 'third_party/FP16'
2025-08-14T21:30:24.6020411Z Entering 'third_party/FXdiv'
2025-08-14T21:30:24.6064100Z Entering 'third_party/NNPACK'
2025-08-14T21:30:24.6112618Z Entering 'third_party/NVTX'
2025-08-14T21:30:24.6157187Z Entering 'third_party/VulkanMemoryAllocator'
2025-08-14T21:30:24.6202918Z Entering 'third_party/XNNPACK'
2025-08-14T21:30:24.6258607Z Entering 'third_party/aiter'
2025-08-14T21:30:24.6302379Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-08-14T21:30:24.6353998Z Entering 'third_party/benchmark'
2025-08-14T21:30:24.6400595Z Entering 'third_party/composable_kernel'
2025-08-14T21:30:24.6451533Z Entering 'third_party/cpp-httplib'
2025-08-14T21:30:24.6495497Z Entering 'third_party/cpuinfo'
2025-08-14T21:30:24.6541659Z Entering 'third_party/cudnn_frontend'
2025-08-14T21:30:24.6587617Z Entering 'third_party/cutlass'
2025-08-14T21:30:24.6639652Z Entering 'third_party/fbgemm'
2025-08-14T21:30:24.6685263Z Entering 'third_party/fbgemm/external/asmjit'
2025-08-14T21:30:24.6732120Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-08-14T21:30:24.6784954Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-08-14T21:30:24.6830485Z Entering 'third_party/fbgemm/external/cutlass'
2025-08-14T21:30:24.6880888Z Entering 'third_party/fbgemm/external/googletest'
2025-08-14T21:30:24.6923927Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-08-14T21:30:24.6967045Z Entering 'third_party/fbgemm/external/json'
2025-08-14T21:30:24.7015970Z Entering 'third_party/flash-attention'
2025-08-14T21:30:24.7060991Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-08-14T21:30:24.7108743Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-08-14T21:30:24.7162039Z Entering 'third_party/flatbuffers'
2025-08-14T21:30:24.7213216Z Entering 'third_party/fmt'
2025-08-14T21:30:24.7260865Z Entering 'third_party/gemmlowp/gemmlowp'
2025-08-14T21:30:24.7305265Z Entering 'third_party/gloo'
2025-08-14T21:30:24.7351286Z Entering 'third_party/googletest'
2025-08-14T21:30:24.7396868Z Entering 'third_party/ideep'
2025-08-14T21:30:24.7440237Z Entering 'third_party/ideep/mkl-dnn'
2025-08-14T21:30:24.7491003Z Entering 'third_party/ittapi'
2025-08-14T21:30:24.7534256Z Entering 'third_party/kineto'
2025-08-14T21:30:24.7579245Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-14T21:30:24.7623855Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-14T21:30:24.7669472Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-14T21:30:24.7713307Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-14T21:30:24.7756870Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-14T21:30:24.7800883Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-14T21:30:24.7852096Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-14T21:30:24.7896664Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-14T21:30:24.7946395Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-14T21:30:24.7992326Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-14T21:30:24.8039952Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-08-14T21:30:24.8083535Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-08-14T21:30:24.8132308Z Entering 'third_party/kleidiai'
2025-08-14T21:30:24.8179619Z Entering 'third_party/mimalloc'
2025-08-14T21:30:24.8224309Z Entering 'third_party/nlohmann'
2025-08-14T21:30:24.8272062Z Entering 'third_party/onnx'
2025-08-14T21:30:24.8332851Z Entering 'third_party/onnx/third_party/pybind11'
2025-08-14T21:30:24.8383142Z Entering 'third_party/opentelemetry-cpp'
2025-08-14T21:30:24.8431149Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-14T21:30:24.8474392Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-14T21:30:24.8520370Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-14T21:30:24.8563270Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-14T21:30:24.8613660Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-14T21:30:24.8656689Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-14T21:30:24.8701636Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-14T21:30:24.8744396Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-14T21:30:24.8788986Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-14T21:30:24.8836543Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-14T21:30:24.8900346Z Entering 'third_party/pocketfft'
2025-08-14T21:30:24.8944871Z Entering 'third_party/protobuf'
2025-08-14T21:30:24.8992436Z Entering 'third_party/protobuf/third_party/benchmark'
2025-08-14T21:30:24.9041310Z Entering 'third_party/protobuf/third_party/googletest'
2025-08-14T21:30:24.9087200Z Entering 'third_party/psimd'
2025-08-14T21:30:24.9136057Z Entering 'third_party/pthreadpool'
2025-08-14T21:30:24.9181573Z Entering 'third_party/pybind11'
2025-08-14T21:30:24.9226348Z Entering 'third_party/python-peachpy'
2025-08-14T21:30:24.9271597Z Entering 'third_party/sleef'
2025-08-14T21:30:24.9316138Z Entering 'third_party/tensorpipe'
2025-08-14T21:30:24.9360628Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-14T21:30:24.9403758Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-14T21:30:24.9449698Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-14T21:30:24.9492981Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-14T21:30:24.9535216Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-14T21:30:24.9602398Z ##[endgroup]
2025-08-14T21:30:24.9636987Z [command]/usr/bin/git log -1 --format=%H
2025-08-14T21:30:24.9658352Z 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:30:24.9840115Z Prepare all required actions
2025-08-14T21:30:24.9840616Z Getting action download info
2025-08-14T21:30:25.1202225Z ##[group]Run ./.github/actions/setup-linux
2025-08-14T21:30:25.1202482Z env:
2025-08-14T21:30:25.1202656Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:30:25.1202861Z ##[endgroup]
2025-08-14T21:30:25.1245054Z ##[group]Run set -euo pipefail
2025-08-14T21:30:25.1245309Z set -euo pipefail
2025-08-14T21:30:25.1245532Z function get_ec2_metadata() {
2025-08-14T21:30:25.1272665Z   # Pulled from instance metadata endpoint for EC2
2025-08-14T21:30:25.1273176Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2025-08-14T21:30:25.1273583Z   category=$1
2025-08-14T21:30:25.1273862Z   # If it is GCP runner (runner name contains gcp), do not run this
2025-08-14T21:30:25.1274185Z   runner_name_str=i-0a9f0b7ba2fb10a0b
2025-08-14T21:30:25.1274472Z   if [[ -f /.inarc ]]; then
2025-08-14T21:30:25.1274721Z     echo "ARC Runner, no info on ec2 metadata"
2025-08-14T21:30:25.1275000Z   elif [[ $runner_name_str == *"gcp"* ]]; then
2025-08-14T21:30:25.1275346Z     echo "Runner is from Google Cloud Platform, No info on ec2 metadata"
2025-08-14T21:30:25.1275656Z   else
2025-08-14T21:30:25.1276293Z     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}"
2025-08-14T21:30:25.1277126Z   fi
2025-08-14T21:30:25.1277299Z }
2025-08-14T21:30:25.1277496Z echo "ami-id: $(get_ec2_metadata ami-id)"
2025-08-14T21:30:25.1277798Z echo "instance-id: $(get_ec2_metadata instance-id)"
2025-08-14T21:30:25.1278143Z echo "instance-type: $(get_ec2_metadata instance-type)"
2025-08-14T21:30:25.1278449Z echo "system info $(uname -a)"
2025-08-14T21:30:25.1286975Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:30:25.1287273Z env:
2025-08-14T21:30:25.1287445Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:30:25.1287632Z ##[endgroup]
2025-08-14T21:30:25.1424946Z ami-id: ami-05ffe3c48a9991133
2025-08-14T21:30:25.1519606Z instance-id: i-0a9f0b7ba2fb10a0b
2025-08-14T21:30:25.1611536Z instance-type: g6.4xlarge
2025-08-14T21:30:25.1622846Z system info Linux ip-10-1-34-130.ec2.internal 6.1.141-155.222.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Jun 17 10:29:47 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux
2025-08-14T21:30:25.1652065Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-14T21:30:25.1652741Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-14T21:30:25.1659216Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:30:25.1659513Z env:
2025-08-14T21:30:25.1659680Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:30:25.1659882Z ##[endgroup]
2025-08-14T21:30:25.1718174Z ##[group]Run if systemctl is-active --quiet docker; then
2025-08-14T21:30:25.1718500Z if systemctl is-active --quiet docker; then
2025-08-14T21:30:25.1718784Z     echo "Docker daemon is running...";
2025-08-14T21:30:25.1719019Z else
2025-08-14T21:30:25.1719287Z     echo "Starting docker daemon..." && sudo systemctl start docker;
2025-08-14T21:30:25.1719601Z fi
2025-08-14T21:30:25.1725822Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:30:25.1726097Z env:
2025-08-14T21:30:25.1726271Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:30:25.1726466Z ##[endgroup]
2025-08-14T21:30:25.1802187Z Docker daemon is running...
2025-08-14T21:30:25.1869554Z ##[group]Run nick-fields/retry@v3.0.0
2025-08-14T21:30:25.1869777Z with:
2025-08-14T21:30:25.1869955Z   shell: bash
2025-08-14T21:30:25.1870302Z   timeout_minutes: 5
2025-08-14T21:30:25.1870499Z   max_attempts: 3
2025-08-14T21:30:25.1870688Z   retry_wait_seconds: 30
2025-08-14T21:30:25.1872333Z   command: AWS_ACCOUNT_ID=$(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

2025-08-14T21:30:25.1873975Z   polling_interval_seconds: 1
2025-08-14T21:30:25.1874186Z   warning_on_retry: true
2025-08-14T21:30:25.1874378Z   continue_on_error: false
2025-08-14T21:30:25.1874560Z env:
2025-08-14T21:30:25.1874720Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:30:25.1874914Z   AWS_RETRY_MODE: standard
2025-08-14T21:30:25.1875111Z   AWS_MAX_ATTEMPTS: 5
2025-08-14T21:30:25.1875315Z   AWS_DEFAULT_REGION: us-east-1
2025-08-14T21:30:25.1875513Z ##[endgroup]
2025-08-14T21:30:26.2510160Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-14T21:30:26.2510885Z Configure a credential helper to remove this warning. See
2025-08-14T21:30:26.2511541Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-14T21:30:26.2512569Z 
2025-08-14T21:30:26.2512710Z Login Succeeded
2025-08-14T21:30:26.7079050Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-14T21:30:26.7079798Z Configure a credential helper to remove this warning. See
2025-08-14T21:30:26.7080437Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-14T21:30:26.7080857Z 
2025-08-14T21:30:26.7083419Z Login Succeeded
2025-08-14T21:30:27.3307636Z Command completed after 1 attempt(s).
2025-08-14T21:30:27.3374010Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-14T21:30:27.3374485Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-14T21:30:27.3374898Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-14T21:30:27.3384336Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:30:27.3384643Z env:
2025-08-14T21:30:27.3384831Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:30:27.3385023Z ##[endgroup]
2025-08-14T21:30:27.3468811Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-08-14T21:30:27.3469216Z # ignore expansion of "docker ps -q" since it could be empty
2025-08-14T21:30:27.3469531Z # shellcheck disable=SC2046
2025-08-14T21:30:27.3469784Z docker stop $(docker ps -q) || true
2025-08-14T21:30:27.3470032Z # Prune all of the docker images
2025-08-14T21:30:27.3470288Z docker system prune -af
2025-08-14T21:30:27.3476615Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:30:27.3476904Z env:
2025-08-14T21:30:27.3477069Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:30:27.3477256Z ##[endgroup]
2025-08-14T21:30:27.3695352Z "docker stop" requires at least 1 argument.
2025-08-14T21:30:27.3695727Z See 'docker stop --help'.
2025-08-14T21:30:27.3695902Z 
2025-08-14T21:30:27.3696079Z Usage:  docker stop [OPTIONS] CONTAINER [CONTAINER...]
2025-08-14T21:30:27.3696356Z 
2025-08-14T21:30:27.3696459Z Stop one or more running containers
2025-08-14T21:30:27.3836829Z Total reclaimed space: 0B
2025-08-14T21:30:27.3876336Z ##[group]Run set +e
2025-08-14T21:30:27.3876557Z set +e
2025-08-14T21:30:27.3876731Z set -x
2025-08-14T21:30:27.3876901Z 
2025-08-14T21:30:27.3877079Z PT_DOMAIN=download.pytorch.org
2025-08-14T21:30:27.3877507Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400,
2025-08-14T21:30:27.3878265Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last
2025-08-14T21:30:27.3878664Z # one is returned at random
2025-08-14T21:30:27.3878957Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1)
2025-08-14T21:30:27.3879241Z 
2025-08-14T21:30:27.3879410Z if [ -z "${RESOLVED_IP}" ]; then
2025-08-14T21:30:27.3879717Z   echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..."
2025-08-14T21:30:27.3880113Z   RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1)
2025-08-14T21:30:27.3880397Z 
2025-08-14T21:30:27.3880569Z   if [ -z "${RESOLVED_IP}" ]; then
2025-08-14T21:30:27.3880840Z     echo "Couldn't resolve ${PT_DOMAIN}, exiting..."
2025-08-14T21:30:27.3881101Z     exit 1
2025-08-14T21:30:27.3881274Z   fi
2025-08-14T21:30:27.3881433Z fi
2025-08-14T21:30:27.3881586Z 
2025-08-14T21:30:27.3881781Z if grep -r "${PT_DOMAIN}" /etc/hosts; then
2025-08-14T21:30:27.3882169Z   # Clean up any old records first
2025-08-14T21:30:27.3882432Z   sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts
2025-08-14T21:30:27.3882663Z fi
2025-08-14T21:30:27.3882819Z 
2025-08-14T21:30:27.3883052Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts
2025-08-14T21:30:27.3883345Z cat /etc/hosts
2025-08-14T21:30:27.3891485Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:30:27.3891771Z env:
2025-08-14T21:30:27.3891944Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:30:27.3892139Z ##[endgroup]
2025-08-14T21:30:27.3917036Z + PT_DOMAIN=download.pytorch.org
2025-08-14T21:30:27.3922188Z ++ dig -4 +short download.pytorch.org
2025-08-14T21:30:27.3923378Z ++ tail -n1
2025-08-14T21:30:27.4366724Z + RESOLVED_IP=18.160.10.36
2025-08-14T21:30:27.4367085Z + '[' -z 18.160.10.36 ']'
2025-08-14T21:30:27.4367396Z + grep -r download.pytorch.org /etc/hosts
2025-08-14T21:30:27.4385966Z + echo '18.160.10.36 download.pytorch.org'
2025-08-14T21:30:27.4386333Z + sudo tee -a /etc/hosts
2025-08-14T21:30:27.8350949Z 18.160.10.36 download.pytorch.org
2025-08-14T21:30:27.8370378Z + cat /etc/hosts
2025-08-14T21:30:27.8378329Z 127.0.0.1   localhost localhost.localdomain localhost4 localhost4.localdomain4
2025-08-14T21:30:27.8382872Z ::1         localhost6 localhost6.localdomain6
2025-08-14T21:30:27.8383167Z 18.160.10.36 download.pytorch.org
2025-08-14T21:30:27.8516825Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main
2025-08-14T21:30:27.8517211Z with:
2025-08-14T21:30:27.8517810Z   docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:30:27.8518483Z   use-custom-docker-registry: true
2025-08-14T21:30:27.8518728Z   docker-build-dir: .ci/docker
2025-08-14T21:30:27.8518946Z   docker-build-script: ./build.sh
2025-08-14T21:30:27.8519162Z   working-directory: .
2025-08-14T21:30:27.8519421Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:30:27.8519723Z   force-push: false
2025-08-14T21:30:27.8519885Z env:
2025-08-14T21:30:27.8520042Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:30:27.8520237Z ##[endgroup]
2025-08-14T21:30:27.8540969Z ##[group]Run set -ex
2025-08-14T21:30:27.8541195Z set -ex
2025-08-14T21:30:27.8554125Z 
2025-08-14T21:30:27.8554512Z # If the docker build directory or the build script doesn't exist, the action will
2025-08-14T21:30:27.8555012Z # gracefully return the docker image name as it is.  Pulling docker image in Linux
2025-08-14T21:30:27.8555432Z # job could then download the pre-built image as usual
2025-08-14T21:30:27.8555918Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then
2025-08-14T21:30:27.8556374Z   echo "skip=false" >> "${GITHUB_OUTPUT}"
2025-08-14T21:30:27.8556620Z else
2025-08-14T21:30:27.8556819Z   echo "skip=true" >> "${GITHUB_OUTPUT}"
2025-08-14T21:30:27.8557141Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-08-14T21:30:27.8557432Z 
2025-08-14T21:30:27.8557820Z   echo "Not using custom ECR registry.  Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..."
2025-08-14T21:30:27.8558297Z   exit 0
2025-08-14T21:30:27.8558472Z fi
2025-08-14T21:30:27.8558626Z 
2025-08-14T21:30:27.8558872Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then
2025-08-14T21:30:27.8559299Z   # The docker image name already includes the ECR prefix and tag, so we can just
2025-08-14T21:30:27.8559678Z   # use it as it is, but first let's extract the tag
2025-08-14T21:30:27.8560016Z   DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}')
2025-08-14T21:30:27.8560384Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-08-14T21:30:27.8560727Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-08-14T21:30:27.8561007Z else
2025-08-14T21:30:27.8561202Z   if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then
2025-08-14T21:30:27.8561477Z     CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:}
2025-08-14T21:30:27.8562044Z     DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*}
2025-08-14T21:30:27.8562289Z   fi
2025-08-14T21:30:27.8562626Z   DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}")
2025-08-14T21:30:27.8563059Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-08-14T21:30:27.8563512Z   echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-08-14T21:30:27.8564007Z   echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}"
2025-08-14T21:30:27.8564316Z fi
2025-08-14T21:30:27.8572957Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:30:27.8573235Z env:
2025-08-14T21:30:27.8573403Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:30:27.8573600Z   REPO_NAME: pytorch
2025-08-14T21:30:27.8574322Z   DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:30:27.8574981Z   DOCKER_BUILD_DIR: .ci/docker
2025-08-14T21:30:27.8575195Z   DOCKER_BUILD_SCRIPT: ./build.sh
2025-08-14T21:30:27.8575475Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:30:27.8575769Z   USE_CUSTOM_DOCKER_REGISTRY: true
2025-08-14T21:30:27.8575986Z   CUSTOM_TAG_PREFIX: 
2025-08-14T21:30:27.8576168Z ##[endgroup]
2025-08-14T21:30:27.8601386Z + [[ -d .ci/docker ]]
2025-08-14T21:30:27.8601678Z + [[ -f .ci/docker/./build.sh ]]
2025-08-14T21:30:27.8602022Z + [[ true == \t\r\u\e ]]
2025-08-14T21:30:27.8602248Z + echo skip=false
2025-08-14T21:30:27.8603314Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-bfa89110622ba7202628e9faac705f183070defe == *\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* ]]
2025-08-14T21:30:27.8608494Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:30:27.8609127Z ++ awk -F '[:,]' '{print $2}'
2025-08-14T21:30:27.8632407Z + DOCKER_TAG=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:30:27.8633236Z + echo docker-tag=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:30:27.8634274Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:30:27.8659610Z ##[group]Run set +e
2025-08-14T21:30:27.8659830Z set +e
2025-08-14T21:30:27.8659999Z set -x
2025-08-14T21:30:27.8660161Z 
2025-08-14T21:30:27.8660317Z login() {
2025-08-14T21:30:27.8660679Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-08-14T21:30:27.8661053Z }
2025-08-14T21:30:27.8661222Z 
2025-08-14T21:30:27.8661369Z retry () {
2025-08-14T21:30:27.8661569Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-08-14T21:30:27.8661803Z }
2025-08-14T21:30:27.8661953Z 
2025-08-14T21:30:27.8662121Z retry login "${DOCKER_REGISTRY}"
2025-08-14T21:30:27.8662352Z 
2025-08-14T21:30:27.8662504Z START_TIME=$(date +%s)
2025-08-14T21:30:27.8662724Z # Wait up to 120 minutes
2025-08-14T21:30:27.8662995Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do
2025-08-14T21:30:27.8663352Z   # Check if image already exists, if it does then skip building it
2025-08-14T21:30:27.8663708Z   if docker manifest inspect "${DOCKER_IMAGE}"; then
2025-08-14T21:30:27.8663977Z     exit 0
2025-08-14T21:30:27.8664155Z   fi
2025-08-14T21:30:27.8664306Z 
2025-08-14T21:30:27.8664606Z   # NB: This flag is used by Docker build workflow to push the image to ECR, so we can
2025-08-14T21:30:27.8665249Z   # use this to differentiate between the Docker build and regular build jobs. For the
2025-08-14T21:30:27.8665723Z   # latter, it will wait for the Docker images to become available before continuing
2025-08-14T21:30:27.8666088Z   if [ "${DOCKER_PUSH:-false}" == "true" ]; then
2025-08-14T21:30:27.8666398Z     # It's a Docker build job, let's build the image
2025-08-14T21:30:27.8666659Z     break
2025-08-14T21:30:27.8666822Z   else
2025-08-14T21:30:27.8667063Z     # It's a regular build job, wait for the image to become available
2025-08-14T21:30:27.8667360Z     sleep 300
2025-08-14T21:30:27.8667539Z   fi
2025-08-14T21:30:27.8667690Z done
2025-08-14T21:30:27.8667842Z 
2025-08-14T21:30:27.8668107Z # NB: This part requires a full checkout. Otherwise, the merge base will
2025-08-14T21:30:27.8668667Z # be empty.  The default action would be to continue rebuild the image
2025-08-14T21:30:27.8669065Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then
2025-08-14T21:30:27.8669389Z   # if we're on the base branch then use the parent commit
2025-08-14T21:30:27.8669674Z   MERGE_BASE=$(git rev-parse HEAD~)
2025-08-14T21:30:27.8669904Z else
2025-08-14T21:30:27.8670137Z   # otherwise we're on a PR, so use the most recent base commit
2025-08-14T21:30:27.8670479Z   MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION")
2025-08-14T21:30:27.8670732Z fi
2025-08-14T21:30:27.8670881Z 
2025-08-14T21:30:27.8671048Z if [[ -z "${MERGE_BASE}" ]]; then
2025-08-14T21:30:27.8671299Z   echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-08-14T21:30:27.8671539Z 
2025-08-14T21:30:27.8671869Z   echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..."
2025-08-14T21:30:27.8672276Z   exit 0
2025-08-14T21:30:27.8672430Z fi
2025-08-14T21:30:27.8672577Z 
2025-08-14T21:30:27.8672809Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then
2025-08-14T21:30:27.8673290Z   echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit"
2025-08-14T21:30:27.8673702Z   exit 1
2025-08-14T21:30:27.8673861Z fi
2025-08-14T21:30:27.8674002Z 
2025-08-14T21:30:27.8674256Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}")
2025-08-14T21:30:27.8674724Z # If no image exists but the hash is the same as the previous hash then we should error out here
2025-08-14T21:30:27.8675151Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then
2025-08-14T21:30:27.8675628Z   echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch"
2025-08-14T21:30:27.8676180Z   echo "         Will re-build docker image to store in local cache, TTS may be longer"
2025-08-14T21:30:27.8676509Z fi
2025-08-14T21:30:27.8676662Z 
2025-08-14T21:30:27.8676842Z echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-08-14T21:30:27.8683294Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:30:27.8683576Z env:
2025-08-14T21:30:27.8683754Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:30:27.8683953Z   DOCKER_BUILD_DIR: .ci/docker
2025-08-14T21:30:27.8684191Z   BASE_REVISION: 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:30:27.8684844Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:30:27.8685645Z   DOCKER_TAG: pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:30:27.8686151Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:30:27.8686530Z   DOCKER_PUSH: 
2025-08-14T21:30:27.8686699Z ##[endgroup]
2025-08-14T21:30:27.8709756Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:30:27.8710175Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:30:27.8712669Z + aws ecr get-login-password --region us-east-1
2025-08-14T21:30:27.8713875Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:30:28.3235656Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-14T21:30:28.3236508Z Configure a credential helper to remove this warning. See
2025-08-14T21:30:28.3237235Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-14T21:30:28.3237595Z 
2025-08-14T21:30:28.3238284Z Login Succeeded
2025-08-14T21:30:28.3257162Z ++ date +%s
2025-08-14T21:30:28.3268239Z + START_TIME=1755207028
2025-08-14T21:30:28.3271749Z ++ date +%s
2025-08-14T21:30:28.3282060Z + [[ 1755199828 -lt 1755207028 ]]
2025-08-14T21:30:28.3282950Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:30:28.5670185Z {
2025-08-14T21:30:28.5670480Z 	"schemaVersion": 2,
2025-08-14T21:30:28.5670990Z 	"mediaType": "application/vnd.docker.distribution.manifest.v2+json",
2025-08-14T21:30:28.5671419Z 	"config": {
2025-08-14T21:30:28.5671736Z 		"mediaType": "application/vnd.docker.container.image.v1+json",
2025-08-14T21:30:28.5672113Z 		"size": 31137,
2025-08-14T21:30:28.5672475Z 		"digest": "sha256:9164ab1496895ac66808d8e6566acf1991fc744d321a8ac71d8dbd8989ac57a8"
2025-08-14T21:30:28.5672885Z 	},
2025-08-14T21:30:28.5673067Z 	"layers": [
2025-08-14T21:30:28.5673338Z 		{
2025-08-14T21:30:28.5673630Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:30:28.5674012Z 			"size": 30448173,
2025-08-14T21:30:28.5674410Z 			"digest": "sha256:660ffc76f83b006444a5731b215acc2e35138d8be5cac8ed1ffd40f947117495"
2025-08-14T21:30:28.5674839Z 		},
2025-08-14T21:30:28.5675011Z 		{
2025-08-14T21:30:28.5675297Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:30:28.5675666Z 			"size": 1554,
2025-08-14T21:30:28.5676032Z 			"digest": "sha256:d6b6067d541bf983c727d7a41da76081d8c002d25fd4717b4a56fd118207690c"
2025-08-14T21:30:28.5676467Z 		},
2025-08-14T21:30:28.5676640Z 		{
2025-08-14T21:30:28.5676870Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
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2025-08-14T21:30:28.5734029Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:30:28.5734320Z 			"size": 776,
2025-08-14T21:30:28.5734601Z 			"digest": "sha256:1aef221cbe7de18f780f9a5f4418bc276176bc252900038fd21d808da03746fd"
2025-08-14T21:30:28.5734923Z 		},
2025-08-14T21:30:28.5735057Z 		{
2025-08-14T21:30:28.5735276Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:30:28.5735570Z 			"size": 724,
2025-08-14T21:30:28.5735937Z 			"digest": "sha256:403909ca2e26cbc4c01ed56f3d9d7068988093b3f8f4f48660469264b731dc40"
2025-08-14T21:30:28.5736284Z 		},
2025-08-14T21:30:28.5736434Z 		{
2025-08-14T21:30:28.5736647Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:30:28.5736932Z 			"size": 140,
2025-08-14T21:30:28.5737210Z 			"digest": "sha256:6c6566b1f69c877378ed64382ce010f3c25393e483e537a87a3a68f99dfff735"
2025-08-14T21:30:28.5737521Z 		},
2025-08-14T21:30:28.5737655Z 		{
2025-08-14T21:30:28.5737878Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:30:28.5738160Z 			"size": 32,
2025-08-14T21:30:28.5738454Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-14T21:30:28.5738787Z 		},
2025-08-14T21:30:28.5738914Z 		{
2025-08-14T21:30:28.5739138Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:30:28.5739425Z 			"size": 160,
2025-08-14T21:30:28.5739711Z 			"digest": "sha256:5629b6e108ff5911bd75613d87aa2b0e67c38742c7b024a7c82c2a20727b2285"
2025-08-14T21:30:28.5740034Z 		},
2025-08-14T21:30:28.5740168Z 		{
2025-08-14T21:30:28.5740386Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:30:28.5740666Z 			"size": 1011,
2025-08-14T21:30:28.5740955Z 			"digest": "sha256:3d11a12afe792395a89d4ea7af3a42cd11b9acc8601bf41a3b212f7701a9052f"
2025-08-14T21:30:28.5741290Z 		},
2025-08-14T21:30:28.5741424Z 		{
2025-08-14T21:30:28.5741659Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:30:28.5741961Z 			"size": 724,
2025-08-14T21:30:28.5742244Z 			"digest": "sha256:403909ca2e26cbc4c01ed56f3d9d7068988093b3f8f4f48660469264b731dc40"
2025-08-14T21:30:28.5742572Z 		},
2025-08-14T21:30:28.5742724Z 		{
2025-08-14T21:30:28.5742949Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:30:28.5743250Z 			"size": 135,
2025-08-14T21:30:28.5743539Z 			"digest": "sha256:7f43e20df7d5a1fb426a75050e9b9443267fd816b5fe29e48c6ded748431ecce"
2025-08-14T21:30:28.5743879Z 		},
2025-08-14T21:30:28.5744010Z 		{
2025-08-14T21:30:28.5744231Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:30:28.5744520Z 			"size": 32,
2025-08-14T21:30:28.5744805Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-14T21:30:28.5745134Z 		},
2025-08-14T21:30:28.5745270Z 		{
2025-08-14T21:30:28.5745486Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:30:28.5745779Z 			"size": 159,
2025-08-14T21:30:28.5746058Z 			"digest": "sha256:1f1ad77e7661a1f0881bc680e6793feccfb50f8c57b805b67e26b03584f4a420"
2025-08-14T21:30:28.5746378Z 		},
2025-08-14T21:30:28.5746528Z 		{
2025-08-14T21:30:28.5746751Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:30:28.5747044Z 			"size": 1370,
2025-08-14T21:30:28.5747327Z 			"digest": "sha256:2b28f013a7e0cb7b2880907b423beaf9f1aa56a98075c5cd3b67c1304d101107"
2025-08-14T21:30:28.5747653Z 		},
2025-08-14T21:30:28.5747876Z 		{
2025-08-14T21:30:28.5748097Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:30:28.5748386Z 			"size": 32,
2025-08-14T21:30:28.5748671Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-14T21:30:28.5748995Z 		},
2025-08-14T21:30:28.5749129Z 		{
2025-08-14T21:30:28.5749350Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:30:28.5749629Z 			"size": 137,
2025-08-14T21:30:28.5749913Z 			"digest": "sha256:f2553a813bfdf963aa412a268cae6ecec1c041d0d34b19485f3771177454a45d"
2025-08-14T21:30:28.5750241Z 		},
2025-08-14T21:30:28.5750373Z 		{
2025-08-14T21:30:28.5750599Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:30:28.5750887Z 			"size": 380,
2025-08-14T21:30:28.5751180Z 			"digest": "sha256:920afab8d80cf9d21d7440a3cc2ff53dd6edec7dcd6468ec06000976a0a8c050"
2025-08-14T21:30:28.5751519Z 		},
2025-08-14T21:30:28.5751655Z 		{
2025-08-14T21:30:28.5751950Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:30:28.5752245Z 			"size": 32,
2025-08-14T21:30:28.5752528Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-14T21:30:28.5752856Z 		},
2025-08-14T21:30:28.5752994Z 		{
2025-08-14T21:30:28.5753221Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:30:28.5753514Z 			"size": 104,
2025-08-14T21:30:28.5753788Z 			"digest": "sha256:49bf96108822afb250e2eb64eec419d15a30c113424e9cd32e1165510c3ecbe8"
2025-08-14T21:30:28.5754122Z 		},
2025-08-14T21:30:28.5754262Z 		{
2025-08-14T21:30:28.5754482Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:30:28.5754787Z 			"size": 408,
2025-08-14T21:30:28.5755070Z 			"digest": "sha256:41a88d2df1710ac9563f2c31e12f1f5055e3fb948fb23be94056a92f9bcd23cc"
2025-08-14T21:30:28.5755403Z 		},
2025-08-14T21:30:28.5755534Z 		{
2025-08-14T21:30:28.5755764Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:30:28.5756063Z 			"size": 32,
2025-08-14T21:30:28.5756348Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-14T21:30:28.5756679Z 		},
2025-08-14T21:30:28.5756812Z 		{
2025-08-14T21:30:28.5757030Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:30:28.5757318Z 			"size": 109,
2025-08-14T21:30:28.5757609Z 			"digest": "sha256:ac86414debcc5d65ada0c2f4cac431d92fee6674eaae5588900bbeccba717532"
2025-08-14T21:30:28.5757955Z 		},
2025-08-14T21:30:28.5758092Z 		{
2025-08-14T21:30:28.5758311Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:30:28.5758602Z 			"size": 1896,
2025-08-14T21:30:28.5758883Z 			"digest": "sha256:41e0d573c7e6286174db6b451adbb436dbff25b2f486fb73933d501b36a772c8"
2025-08-14T21:30:28.5759208Z 		},
2025-08-14T21:30:28.5759343Z 		{
2025-08-14T21:30:28.5759557Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:30:28.5759854Z 			"size": 242635943,
2025-08-14T21:30:28.5760167Z 			"digest": "sha256:cd44cde965e2ab43b7122b93bdd7c8d2fff67a48fb5740dd56683144f9ccaf61"
2025-08-14T21:30:28.5760499Z 		},
2025-08-14T21:30:28.5760631Z 		{
2025-08-14T21:30:28.5760859Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:30:28.5761143Z 			"size": 106,
2025-08-14T21:30:28.5761420Z 			"digest": "sha256:53fa29ec5ecf82fea214063654688a04cf6152402983464e63e925cdbeadfe74"
2025-08-14T21:30:28.5761754Z 		},
2025-08-14T21:30:28.5761950Z 		{
2025-08-14T21:30:28.5762178Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:30:28.5762468Z 			"size": 165,
2025-08-14T21:30:28.5762750Z 			"digest": "sha256:672e0afb1fbc6078be7530e68ff59643e7a503935a9a45e11e1a7fdbe557cd87"
2025-08-14T21:30:28.5763079Z 		},
2025-08-14T21:30:28.5763218Z 		{
2025-08-14T21:30:28.5763443Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:30:28.5763729Z 			"size": 7943,
2025-08-14T21:30:28.5764114Z 			"digest": "sha256:2fb460415c5c60fabaa667070a9d859ca238ef2cb49b724c6c8aac3fdfa9525b"
2025-08-14T21:30:28.5764455Z 		},
2025-08-14T21:30:28.5764591Z 		{
2025-08-14T21:30:28.5764819Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:30:28.5765109Z 			"size": 8071,
2025-08-14T21:30:28.5765380Z 			"digest": "sha256:987f67564697f5257d3ead5b348038481241b157c9cb87f79406c00818df165c"
2025-08-14T21:30:28.5765704Z 		},
2025-08-14T21:30:28.5765844Z 		{
2025-08-14T21:30:28.5766062Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:30:28.5766352Z 			"size": 303,
2025-08-14T21:30:28.5766645Z 			"digest": "sha256:ac6d9eb82fcfb8dd8be4e3054a3f85c7a60eb5a9087f68234ffb8fd6fd0d8cbe"
2025-08-14T21:30:28.5766983Z 		},
2025-08-14T21:30:28.5767114Z 		{
2025-08-14T21:30:28.5767355Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:30:28.5767654Z 			"size": 13360626,
2025-08-14T21:30:28.5768026Z 			"digest": "sha256:92b42b4592d640915ccc8ef9660c1b4bc0d0bbaa751ade2e5bd966e3a13441cd"
2025-08-14T21:30:28.5768372Z 		},
2025-08-14T21:30:28.5768505Z 		{
2025-08-14T21:30:28.5768732Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:30:28.5769017Z 			"size": 108,
2025-08-14T21:30:28.5769301Z 			"digest": "sha256:d87965a1f59773c0ad96d6355acc359bc012fd0d4b6da6f32acdbabf558a947e"
2025-08-14T21:30:28.5769624Z 		},
2025-08-14T21:30:28.5769757Z 		{
2025-08-14T21:30:28.5769978Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:30:28.5770266Z 			"size": 54145663,
2025-08-14T21:30:28.5770563Z 			"digest": "sha256:bf708065b04653ac96bc80b81fd80c77f7d7c804f2671f24502b4b201af869a3"
2025-08-14T21:30:28.5770892Z 		},
2025-08-14T21:30:28.5771027Z 		{
2025-08-14T21:30:28.5771240Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:30:28.5771529Z 			"size": 32,
2025-08-14T21:30:28.5771819Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-14T21:30:28.5772160Z 		}
2025-08-14T21:30:28.5772302Z 	]
2025-08-14T21:30:28.5772448Z }
2025-08-14T21:30:28.5772589Z + exit 0
2025-08-14T21:30:28.5800789Z ##[group]Run set -eux
2025-08-14T21:30:28.5801008Z set -eux
2025-08-14T21:30:28.5801634Z 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
2025-08-14T21:30:28.5809785Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:30:28.5810066Z env:
2025-08-14T21:30:28.5810237Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:30:28.5810440Z ##[endgroup]
2025-08-14T21:30:28.5837141Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token
2025-08-14T21:30:28.5837889Z + jq --raw-output .SecretString
2025-08-14T21:30:28.5839075Z + jq -r .docker_hub_readonly_token
2025-08-14T21:30:28.5840033Z + docker login --username pytorchbot --password-stdin
2025-08-14T21:30:29.0688106Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-14T21:30:29.0688581Z Configure a credential helper to remove this warning. See
2025-08-14T21:30:29.0689021Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-14T21:30:29.0689312Z 
2025-08-14T21:30:29.0690446Z Login Succeeded
2025-08-14T21:30:29.0781063Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:}
2025-08-14T21:30:29.0781388Z tag=${ECR_DOCKER_IMAGE##*:}
2025-08-14T21:30:29.0781693Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}"
2025-08-14T21:30:29.0788773Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:30:29.0789050Z env:
2025-08-14T21:30:29.0789213Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:30:29.0789819Z   ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:30:29.0790448Z ##[endgroup]
2025-08-14T21:30:29.0822380Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:30:29.0873276Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main
2025-08-14T21:30:29.0873620Z with:
2025-08-14T21:30:29.0874199Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:30:29.0874899Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:30:29.0875190Z env:
2025-08-14T21:30:29.0875352Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:30:29.0875549Z ##[endgroup]
2025-08-14T21:30:29.0892542Z ##[group]Run set -x
2025-08-14T21:30:29.0892746Z set -x
2025-08-14T21:30:29.0892911Z set +e
2025-08-14T21:30:29.0893071Z 
2025-08-14T21:30:29.0893223Z login() {
2025-08-14T21:30:29.0893575Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-08-14T21:30:29.0893961Z }
2025-08-14T21:30:29.0894112Z 
2025-08-14T21:30:29.0894289Z retry () {
2025-08-14T21:30:29.0894494Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-08-14T21:30:29.0894729Z }
2025-08-14T21:30:29.0894887Z 
2025-08-14T21:30:29.0895060Z retry login "${DOCKER_REGISTRY}"
2025-08-14T21:30:29.0895288Z 
2025-08-14T21:30:29.0895644Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024')
2025-08-14T21:30:29.0896122Z echo "Compressed size of image in MB: ${IMAGE_SIZE}"
2025-08-14T21:30:29.0896388Z 
2025-08-14T21:30:29.0896546Z set -e
2025-08-14T21:30:29.0896790Z # ignore output since only exit code is used for conditional
2025-08-14T21:30:29.0897144Z # only pull docker image if it's not available locally
2025-08-14T21:30:29.0897536Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2025-08-14T21:30:29.0897906Z   retry docker pull "${DOCKER_IMAGE}"
2025-08-14T21:30:29.0898143Z fi
2025-08-14T21:30:29.0904313Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:30:29.0904597Z env:
2025-08-14T21:30:29.0904770Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:30:29.0905374Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:30:29.0906057Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:30:29.0906336Z ##[endgroup]
2025-08-14T21:30:29.0928936Z + set +e
2025-08-14T21:30:29.0929249Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:30:29.0929652Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:30:29.0932042Z + aws ecr get-login-password --region us-east-1
2025-08-14T21:30:29.0933138Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:30:29.5472241Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-14T21:30:29.5473352Z Configure a credential helper to remove this warning. See
2025-08-14T21:30:29.5474359Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-14T21:30:29.5475030Z 
2025-08-14T21:30:29.5478031Z Login Succeeded
2025-08-14T21:30:29.5500036Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:30:29.5500972Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024'
2025-08-14T21:30:29.7717758Z + IMAGE_SIZE=14995.185963630676
2025-08-14T21:30:29.7718136Z + echo 'Compressed size of image in MB: 14995.185963630676'
2025-08-14T21:30:29.7718508Z + set -e
2025-08-14T21:30:29.7719292Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:30:29.7720625Z Compressed size of image in MB: 14995.185963630676
2025-08-14T21:30:29.7829797Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:30:29.7831127Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:30:30.0550957Z pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-bfa89110622ba7202628e9faac705f183070defe: Pulling from pytorch/ci-image
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2025-08-14T21:35:04.1664998Z Digest: sha256:2912f52318e06e9a551538b828fea15def013f278443bb1f452fdd9a824ccbdf
2025-08-14T21:35:04.2123569Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:35:04.2346017Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:35:04.2406275Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-14T21:35:04.2407038Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-14T21:35:04.2416921Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:35:04.2417224Z env:
2025-08-14T21:35:04.2417398Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:35:04.2417595Z ##[endgroup]
2025-08-14T21:35:04.2613714Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main
2025-08-14T21:35:04.2614056Z with:
2025-08-14T21:35:04.2614221Z   driver-version: 570.133.07
2025-08-14T21:35:04.2614413Z env:
2025-08-14T21:35:04.2614573Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:35:04.2614766Z ##[endgroup]
2025-08-14T21:35:04.2758559Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482
2025-08-14T21:35:04.2758869Z with:
2025-08-14T21:35:04.2759042Z   timeout_minutes: 10
2025-08-14T21:35:04.2759227Z   max_attempts: 3
2025-08-14T21:35:04.2779036Z   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

2025-08-14T21:35:04.2798823Z   retry_wait_seconds: 10
2025-08-14T21:35:04.2799031Z   polling_interval_seconds: 1
2025-08-14T21:35:04.2799236Z   warning_on_retry: true
2025-08-14T21:35:04.2799438Z   continue_on_error: false
2025-08-14T21:35:04.2799621Z env:
2025-08-14T21:35:04.2799775Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:35:04.2799980Z   DRIVER_VERSION: 570.133.07
2025-08-14T21:35:04.2800181Z ##[endgroup]
2025-08-14T21:35:04.3627478Z == Installing nvidia driver NVIDIA-Linux-x86_64-570.133.07.run ==
2025-08-14T21:35:04.3628851Z + pre_install_nvidia_driver_amzn2
2025-08-14T21:35:04.3629889Z + sudo yum remove -y nvidia-driver-latest-dkms
2025-08-14T21:35:04.8796201Z No match for argument: nvidia-driver-latest-dkms
2025-08-14T21:35:04.8796885Z No packages marked for removal.
2025-08-14T21:35:04.8849694Z Dependencies resolved.
2025-08-14T21:35:04.8859099Z Nothing to do.
2025-08-14T21:35:04.8859599Z Complete!
2025-08-14T21:35:04.9692761Z + install_nvidia_driver_common
2025-08-14T21:35:04.9695277Z + echo 'Before installing NVIDIA driver'
2025-08-14T21:35:04.9697047Z Before installing NVIDIA driver
2025-08-14T21:35:04.9698641Z + lspci
2025-08-14T21:35:05.0791808Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma]
2025-08-14T21:35:05.0792361Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II]
2025-08-14T21:35:05.0792954Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08)
2025-08-14T21:35:05.0793765Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111
2025-08-14T21:35:05.0794257Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller
2025-08-14T21:35:05.0794685Z 01:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0795024Z 02:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0795357Z 03:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0795684Z 03:00.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0796007Z 03:00.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0796334Z 03:00.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0796631Z 03:00.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0796898Z 03:00.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0797153Z 03:00.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0797409Z 03:00.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0797822Z 03:01.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0798098Z 03:01.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0798355Z 03:01.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0798615Z 03:01.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0798866Z 03:01.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0799130Z 03:01.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0799378Z 03:01.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0799647Z 03:01.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0799915Z 03:02.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0800166Z 03:02.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0800422Z 03:02.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0800677Z 03:02.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0800925Z 03:02.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0801182Z 03:02.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0801436Z 03:02.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0801684Z 03:02.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0802050Z 03:03.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0802303Z 03:03.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0802551Z 03:03.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0802793Z 03:03.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0803052Z 03:03.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0803305Z 03:03.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0803555Z 03:03.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0803800Z 03:03.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0804054Z 24:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0804303Z 25:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0804550Z 26:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0804802Z 26:00.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0805051Z 26:00.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0805295Z 26:00.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0805546Z 26:00.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0805797Z 26:00.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0806069Z 26:00.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0806312Z 26:00.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0806560Z 26:01.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0806895Z 27:00.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA)
2025-08-14T21:35:05.0807227Z 30:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0807487Z 31:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0807741Z 32:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0808068Z 33:00.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller
2025-08-14T21:35:05.0808496Z 34:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:05.0808798Z 35:00.0 3D controller: NVIDIA Corporation AD104GL [L4] (rev a1)
2025-08-14T21:35:05.0809070Z + lsmod
2025-08-14T21:35:05.0832691Z Module                  Size  Used by
2025-08-14T21:35:05.0833022Z xt_conntrack           16384  1
2025-08-14T21:35:05.0833284Z nft_chain_nat          16384  3
2025-08-14T21:35:05.0833546Z xt_MASQUERADE          20480  1
2025-08-14T21:35:05.0833832Z nf_nat                 57344  2 nft_chain_nat,xt_MASQUERADE
2025-08-14T21:35:05.0834165Z nf_conntrack_netlink    57344  0
2025-08-14T21:35:05.0834549Z nf_conntrack          184320  4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE
2025-08-14T21:35:05.0834967Z nf_defrag_ipv6         24576  1 nf_conntrack
2025-08-14T21:35:05.0835272Z nf_defrag_ipv4         16384  1 nf_conntrack
2025-08-14T21:35:05.0835757Z xfrm_user              57344  1
2025-08-14T21:35:05.0836012Z xfrm_algo              16384  1 xfrm_user
2025-08-14T21:35:05.0836293Z xt_addrtype            16384  2
2025-08-14T21:35:05.0836546Z nft_compat             20480  4
2025-08-14T21:35:05.0836787Z nf_tables             311296  57 nft_compat,nft_chain_nat
2025-08-14T21:35:05.0837099Z nfnetlink              20480  4 nft_compat,nf_conntrack_netlink,nf_tables
2025-08-14T21:35:05.0837384Z br_netfilter           36864  0
2025-08-14T21:35:05.0837590Z bridge                323584  1 br_netfilter
2025-08-14T21:35:05.0837816Z stp                    16384  1 bridge
2025-08-14T21:35:05.0838037Z llc                    16384  2 bridge,stp
2025-08-14T21:35:05.0838253Z overlay               167936  0
2025-08-14T21:35:05.0838451Z tls                   139264  0
2025-08-14T21:35:05.0838636Z nls_ascii              16384  1
2025-08-14T21:35:05.0838818Z nls_cp437              20480  1
2025-08-14T21:35:05.0838996Z vfat                   24576  1
2025-08-14T21:35:05.0839188Z fat                    86016  1 vfat
2025-08-14T21:35:05.0839402Z sunrpc                700416  1
2025-08-14T21:35:05.0839582Z ena                   180224  0
2025-08-14T21:35:05.0839763Z i8042                  45056  0
2025-08-14T21:35:05.0839952Z serio                  28672  3 i8042
2025-08-14T21:35:05.0840158Z ghash_clmulni_intel    16384  0
2025-08-14T21:35:05.0840350Z button                 24576  0
2025-08-14T21:35:05.0840536Z sch_fq_codel           20480  9
2025-08-14T21:35:05.0840719Z dm_mod                188416  0
2025-08-14T21:35:05.0840900Z fuse                  184320  1
2025-08-14T21:35:05.0841080Z loop                   36864  0
2025-08-14T21:35:05.0841260Z configfs               57344  1
2025-08-14T21:35:05.0841443Z dmi_sysfs              20480  0
2025-08-14T21:35:05.0841638Z crc32_pclmul           16384  0
2025-08-14T21:35:05.0841830Z crc32c_intel           24576  0
2025-08-14T21:35:05.0842108Z efivarfs               24576  1
2025-08-14T21:35:05.0842299Z + modinfo nvidia
2025-08-14T21:35:05.0850346Z filename:       /lib/modules/6.1.141-155.222.amzn2023.x86_64/kernel/drivers/video/nvidia.ko
2025-08-14T21:35:05.0850817Z import_ns:      DMA_BUF
2025-08-14T21:35:05.0851063Z alias:          char-major-195-*
2025-08-14T21:35:05.0851336Z version:        570.133.07
2025-08-14T21:35:05.0851579Z supported:      external
2025-08-14T21:35:05.0851812Z license:        Dual MIT/GPL
2025-08-14T21:35:05.0852092Z firmware:       nvidia/570.133.07/gsp_tu10x.bin
2025-08-14T21:35:05.0852429Z firmware:       nvidia/570.133.07/gsp_ga10x.bin
2025-08-14T21:35:05.0852727Z srcversion:     49515739FD8F721A3F2F714
2025-08-14T21:35:05.0853024Z alias:          pci:v000010DEd*sv*sd*bc06sc80i00*
2025-08-14T21:35:05.0853348Z alias:          pci:v000010DEd*sv*sd*bc03sc02i00*
2025-08-14T21:35:05.0853650Z alias:          pci:v000010DEd*sv*sd*bc03sc00i00*
2025-08-14T21:35:05.0853936Z depends:        i2c-core,drm
2025-08-14T21:35:05.0854177Z retpoline:      Y
2025-08-14T21:35:05.0854391Z name:           nvidia
2025-08-14T21:35:05.0854756Z vermagic:       6.1.141-155.222.amzn2023.x86_64 SMP preempt mod_unload modversions 
2025-08-14T21:35:05.0855392Z parm:           NvSwitchRegDwords:NvSwitch regkey (charp)
2025-08-14T21:35:05.0856034Z parm:           NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp)
2025-08-14T21:35:05.0856551Z parm:           NVreg_ResmanDebugLevel:int
2025-08-14T21:35:05.0856784Z parm:           NVreg_RmLogonRC:int
2025-08-14T21:35:05.0857029Z parm:           NVreg_ModifyDeviceFiles:int
2025-08-14T21:35:05.0857265Z parm:           NVreg_DeviceFileUID:int
2025-08-14T21:35:05.0857495Z parm:           NVreg_DeviceFileGID:int
2025-08-14T21:35:05.0857724Z parm:           NVreg_DeviceFileMode:int
2025-08-14T21:35:05.0857994Z parm:           NVreg_InitializeSystemMemoryAllocations:int
2025-08-14T21:35:05.0858282Z parm:           NVreg_UsePageAttributeTable:int
2025-08-14T21:35:05.0858528Z parm:           NVreg_EnablePCIeGen3:int
2025-08-14T21:35:05.0858752Z parm:           NVreg_EnableMSI:int
2025-08-14T21:35:05.0859087Z parm:           NVreg_EnableStreamMemOPs:int
2025-08-14T21:35:05.0859367Z parm:           NVreg_RestrictProfilingToAdminUsers:int
2025-08-14T21:35:05.0859666Z parm:           NVreg_PreserveVideoMemoryAllocations:int
2025-08-14T21:35:05.0859949Z parm:           NVreg_EnableS0ixPowerManagement:int
2025-08-14T21:35:05.0860252Z parm:           NVreg_S0ixPowerManagementVideoMemoryThreshold:int
2025-08-14T21:35:05.0860570Z parm:           NVreg_DynamicPowerManagement:int
2025-08-14T21:35:05.0860885Z parm:           NVreg_DynamicPowerManagementVideoMemoryThreshold:int
2025-08-14T21:35:05.0861190Z parm:           NVreg_EnableGpuFirmware:int
2025-08-14T21:35:05.0861449Z parm:           NVreg_EnableGpuFirmwareLogs:int
2025-08-14T21:35:05.0861729Z parm:           NVreg_OpenRmEnableUnsupportedGpus:int
2025-08-14T21:35:05.0862011Z parm:           NVreg_EnableUserNUMAManagement:int
2025-08-14T21:35:05.0862258Z parm:           NVreg_MemoryPoolSize:int
2025-08-14T21:35:05.0862499Z parm:           NVreg_KMallocHeapMaxSize:int
2025-08-14T21:35:05.0862757Z parm:           NVreg_VMallocHeapMaxSize:int
2025-08-14T21:35:05.0862997Z parm:           NVreg_IgnoreMMIOCheck:int
2025-08-14T21:35:05.0863234Z parm:           NVreg_NvLinkDisable:int
2025-08-14T21:35:05.0863507Z parm:           NVreg_EnablePCIERelaxedOrderingMode:int
2025-08-14T21:35:05.0863777Z parm:           NVreg_RegisterPCIDriver:int
2025-08-14T21:35:05.0864026Z parm:           NVreg_EnableResizableBar:int
2025-08-14T21:35:05.0864279Z parm:           NVreg_EnableDbgBreakpoint:int
2025-08-14T21:35:05.0864529Z parm:           NVreg_EnableNonblockingOpen:int
2025-08-14T21:35:05.0864791Z parm:           NVreg_RegistryDwords:charp
2025-08-14T21:35:05.0865047Z parm:           NVreg_RegistryDwordsPerDevice:charp
2025-08-14T21:35:05.0865298Z parm:           NVreg_RmMsg:charp
2025-08-14T21:35:05.0865510Z parm:           NVreg_GpuBlacklist:charp
2025-08-14T21:35:05.0865752Z parm:           NVreg_TemporaryFilePath:charp
2025-08-14T21:35:05.0865996Z parm:           NVreg_ExcludedGpus:charp
2025-08-14T21:35:05.0866245Z parm:           NVreg_DmaRemapPeerMmio:int
2025-08-14T21:35:05.0866510Z parm:           NVreg_RmNvlinkBandwidth:charp
2025-08-14T21:35:05.0866779Z parm:           NVreg_RmNvlinkBandwidthLinkCount:int
2025-08-14T21:35:05.0867044Z parm:           NVreg_ImexChannelCount:int
2025-08-14T21:35:05.0867293Z parm:           NVreg_CreateImexChannel0:int
2025-08-14T21:35:05.0867563Z parm:           NVreg_GrdmaPciTopoCheckOverride:int
2025-08-14T21:35:05.0867818Z parm:           rm_firmware_active:charp
2025-08-14T21:35:05.0868044Z + HAS_NVIDIA_DRIVER=0
2025-08-14T21:35:05.0868238Z ++ command -v nvidia-smi
2025-08-14T21:35:05.0868444Z + '[' -x /usr/bin/nvidia-smi ']'
2025-08-14T21:35:05.0868639Z + set +e
2025-08-14T21:35:05.0868881Z ++ nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0
2025-08-14T21:35:06.6521357Z + INSTALLED_DRIVER_VERSION=570.133.07
2025-08-14T21:35:06.6521740Z + NVIDIA_SMI_STATUS=0
2025-08-14T21:35:06.6522314Z + '[' 0 -ne 0 ']'
2025-08-14T21:35:06.6522591Z + '[' 570.133.07 '!=' 570.133.07 ']'
2025-08-14T21:35:06.6522863Z + HAS_NVIDIA_DRIVER=1
2025-08-14T21:35:06.6523600Z + echo 'NVIDIA driver (570.133.07) has already been installed. Skipping NVIDIA driver installation'
2025-08-14T21:35:06.6524108Z + set -e
2025-08-14T21:35:06.6524309Z + '[' 1 -eq 0 ']'
2025-08-14T21:35:06.6524693Z NVIDIA driver (570.133.07) has already been installed. Skipping NVIDIA driver installation
2025-08-14T21:35:06.6525160Z + post_install_nvidia_driver_common
2025-08-14T21:35:06.6527618Z + sudo modprobe nvidia
2025-08-14T21:35:06.7793816Z + echo 'After installing NVIDIA driver'
2025-08-14T21:35:06.7794163Z + lspci
2025-08-14T21:35:06.7794396Z After installing NVIDIA driver
2025-08-14T21:35:06.7955674Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma]
2025-08-14T21:35:06.7956194Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II]
2025-08-14T21:35:06.7956756Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08)
2025-08-14T21:35:06.7957556Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111
2025-08-14T21:35:06.7958041Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller
2025-08-14T21:35:06.7958494Z 01:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7958835Z 02:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7959186Z 03:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7959500Z 03:00.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7959813Z 03:00.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7960130Z 03:00.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7960461Z 03:00.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7960771Z 03:00.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7961073Z 03:00.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7961403Z 03:00.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7961722Z 03:01.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7962134Z 03:01.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7962467Z 03:01.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7962780Z 03:01.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7963099Z 03:01.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7963409Z 03:01.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7963716Z 03:01.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7964019Z 03:01.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7964329Z 03:02.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7964640Z 03:02.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7964944Z 03:02.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7965252Z 03:02.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7965560Z 03:02.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7965877Z 03:02.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7966195Z 03:02.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7966531Z 03:02.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7966837Z 03:03.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7967152Z 03:03.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7967402Z 03:03.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7967651Z 03:03.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7967892Z 03:03.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7968143Z 03:03.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7968403Z 03:03.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7968653Z 03:03.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7968897Z 24:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7969147Z 25:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7969403Z 26:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7969658Z 26:00.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7970061Z 26:00.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7970348Z 26:00.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7970604Z 26:00.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7970866Z 26:00.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7971116Z 26:00.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7971364Z 26:00.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7971608Z 26:01.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7971936Z 27:00.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA)
2025-08-14T21:35:06.7972280Z 30:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7972535Z 31:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7972801Z 32:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7973216Z 33:00.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller
2025-08-14T21:35:06.7973559Z 34:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-14T21:35:06.7973857Z 35:00.0 3D controller: NVIDIA Corporation AD104GL [L4] (rev a1)
2025-08-14T21:35:06.7974129Z + lsmod
2025-08-14T21:35:06.7984645Z Module                  Size  Used by
2025-08-14T21:35:06.7984953Z nvidia_uvm           1884160  0
2025-08-14T21:35:06.7985244Z nvidia              11583488  1 nvidia_uvm
2025-08-14T21:35:06.7985533Z drm                   602112  1 nvidia
2025-08-14T21:35:06.7985825Z drm_panel_orientation_quirks    32768  1 drm
2025-08-14T21:35:06.7986138Z backlight              24576  1 drm
2025-08-14T21:35:06.7986414Z i2c_core              110592  2 nvidia,drm
2025-08-14T21:35:06.7986705Z xt_conntrack           16384  1
2025-08-14T21:35:06.7986947Z nft_chain_nat          16384  3
2025-08-14T21:35:06.7987186Z xt_MASQUERADE          20480  1
2025-08-14T21:35:06.7987467Z nf_nat                 57344  2 nft_chain_nat,xt_MASQUERADE
2025-08-14T21:35:06.7987791Z nf_conntrack_netlink    57344  0
2025-08-14T21:35:06.7988178Z nf_conntrack          184320  4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE
2025-08-14T21:35:06.7988613Z nf_defrag_ipv6         24576  1 nf_conntrack
2025-08-14T21:35:06.7988903Z nf_defrag_ipv4         16384  1 nf_conntrack
2025-08-14T21:35:06.7989176Z xfrm_user              57344  1
2025-08-14T21:35:06.7989435Z xfrm_algo              16384  1 xfrm_user
2025-08-14T21:35:06.7989708Z xt_addrtype            16384  2
2025-08-14T21:35:06.7989938Z nft_compat             20480  4
2025-08-14T21:35:06.7990221Z nf_tables             311296  57 nft_compat,nft_chain_nat
2025-08-14T21:35:06.7990609Z nfnetlink              20480  4 nft_compat,nf_conntrack_netlink,nf_tables
2025-08-14T21:35:06.7990961Z br_netfilter           36864  0
2025-08-14T21:35:06.7991227Z bridge                323584  1 br_netfilter
2025-08-14T21:35:06.7991512Z stp                    16384  1 bridge
2025-08-14T21:35:06.7991780Z llc                    16384  2 bridge,stp
2025-08-14T21:35:06.7992040Z overlay               167936  0
2025-08-14T21:35:06.7992276Z tls                   139264  0
2025-08-14T21:35:06.7992503Z nls_ascii              16384  1
2025-08-14T21:35:06.7992732Z nls_cp437              20480  1
2025-08-14T21:35:06.7992956Z vfat                   24576  1
2025-08-14T21:35:06.7993187Z fat                    86016  1 vfat
2025-08-14T21:35:06.7993430Z sunrpc                700416  1
2025-08-14T21:35:06.7993667Z ena                   180224  0
2025-08-14T21:35:06.7993888Z i8042                  45056  0
2025-08-14T21:35:06.7994114Z serio                  28672  3 i8042
2025-08-14T21:35:06.7994377Z ghash_clmulni_intel    16384  0
2025-08-14T21:35:06.7994622Z button                 24576  0
2025-08-14T21:35:06.7994850Z sch_fq_codel           20480  9
2025-08-14T21:35:06.7995076Z dm_mod                188416  0
2025-08-14T21:35:06.7995303Z fuse                  184320  1
2025-08-14T21:35:06.7995537Z loop                   36864  0
2025-08-14T21:35:06.7995776Z configfs               57344  1
2025-08-14T21:35:06.7996007Z dmi_sysfs              20480  0
2025-08-14T21:35:06.7996375Z crc32_pclmul           16384  0
2025-08-14T21:35:06.7996632Z crc32c_intel           24576  0
2025-08-14T21:35:06.7996887Z efivarfs               24576  1
2025-08-14T21:35:06.7997082Z + modinfo nvidia
2025-08-14T21:35:06.8001332Z filename:       /lib/modules/6.1.141-155.222.amzn2023.x86_64/kernel/drivers/video/nvidia.ko
2025-08-14T21:35:06.8001823Z import_ns:      DMA_BUF
2025-08-14T21:35:06.8002199Z alias:          char-major-195-*
2025-08-14T21:35:06.8002474Z version:        570.133.07
2025-08-14T21:35:06.8002732Z supported:      external
2025-08-14T21:35:06.8002995Z license:        Dual MIT/GPL
2025-08-14T21:35:06.8003288Z firmware:       nvidia/570.133.07/gsp_tu10x.bin
2025-08-14T21:35:06.8003615Z firmware:       nvidia/570.133.07/gsp_ga10x.bin
2025-08-14T21:35:06.8003926Z srcversion:     49515739FD8F721A3F2F714
2025-08-14T21:35:06.8004240Z alias:          pci:v000010DEd*sv*sd*bc06sc80i00*
2025-08-14T21:35:06.8004736Z alias:          pci:v000010DEd*sv*sd*bc03sc02i00*
2025-08-14T21:35:06.8005063Z alias:          pci:v000010DEd*sv*sd*bc03sc00i00*
2025-08-14T21:35:06.8005368Z depends:        i2c-core,drm
2025-08-14T21:35:06.8005624Z retpoline:      Y
2025-08-14T21:35:06.8005840Z name:           nvidia
2025-08-14T21:35:06.8006216Z vermagic:       6.1.141-155.222.amzn2023.x86_64 SMP preempt mod_unload modversions 
2025-08-14T21:35:06.8006674Z parm:           NvSwitchRegDwords:NvSwitch regkey (charp)
2025-08-14T21:35:06.8007108Z parm:           NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp)
2025-08-14T21:35:06.8007439Z parm:           NVreg_ResmanDebugLevel:int
2025-08-14T21:35:06.8007682Z parm:           NVreg_RmLogonRC:int
2025-08-14T21:35:06.8007908Z parm:           NVreg_ModifyDeviceFiles:int
2025-08-14T21:35:06.8008151Z parm:           NVreg_DeviceFileUID:int
2025-08-14T21:35:06.8008375Z parm:           NVreg_DeviceFileGID:int
2025-08-14T21:35:06.8008601Z parm:           NVreg_DeviceFileMode:int
2025-08-14T21:35:06.8008875Z parm:           NVreg_InitializeSystemMemoryAllocations:int
2025-08-14T21:35:06.8009180Z parm:           NVreg_UsePageAttributeTable:int
2025-08-14T21:35:06.8009444Z parm:           NVreg_EnablePCIeGen3:int
2025-08-14T21:35:06.8009670Z parm:           NVreg_EnableMSI:int
2025-08-14T21:35:06.8009902Z parm:           NVreg_EnableStreamMemOPs:int
2025-08-14T21:35:06.8010173Z parm:           NVreg_RestrictProfilingToAdminUsers:int
2025-08-14T21:35:06.8010484Z parm:           NVreg_PreserveVideoMemoryAllocations:int
2025-08-14T21:35:06.8010785Z parm:           NVreg_EnableS0ixPowerManagement:int
2025-08-14T21:35:06.8011103Z parm:           NVreg_S0ixPowerManagementVideoMemoryThreshold:int
2025-08-14T21:35:06.8011411Z parm:           NVreg_DynamicPowerManagement:int
2025-08-14T21:35:06.8012012Z parm:           NVreg_DynamicPowerManagementVideoMemoryThreshold:int
2025-08-14T21:35:06.8012364Z parm:           NVreg_EnableGpuFirmware:int
2025-08-14T21:35:06.8012645Z parm:           NVreg_EnableGpuFirmwareLogs:int
2025-08-14T21:35:06.8012936Z parm:           NVreg_OpenRmEnableUnsupportedGpus:int
2025-08-14T21:35:06.8013228Z parm:           NVreg_EnableUserNUMAManagement:int
2025-08-14T21:35:06.8013495Z parm:           NVreg_MemoryPoolSize:int
2025-08-14T21:35:06.8013732Z parm:           NVreg_KMallocHeapMaxSize:int
2025-08-14T21:35:06.8013976Z parm:           NVreg_VMallocHeapMaxSize:int
2025-08-14T21:35:06.8014216Z parm:           NVreg_IgnoreMMIOCheck:int
2025-08-14T21:35:06.8014450Z parm:           NVreg_NvLinkDisable:int
2025-08-14T21:35:06.8014720Z parm:           NVreg_EnablePCIERelaxedOrderingMode:int
2025-08-14T21:35:06.8014999Z parm:           NVreg_RegisterPCIDriver:int
2025-08-14T21:35:06.8015242Z parm:           NVreg_EnableResizableBar:int
2025-08-14T21:35:06.8015500Z parm:           NVreg_EnableDbgBreakpoint:int
2025-08-14T21:35:06.8015783Z parm:           NVreg_EnableNonblockingOpen:int
2025-08-14T21:35:06.8016051Z parm:           NVreg_RegistryDwords:charp
2025-08-14T21:35:06.8016312Z parm:           NVreg_RegistryDwordsPerDevice:charp
2025-08-14T21:35:06.8016745Z parm:           NVreg_RmMsg:charp
2025-08-14T21:35:06.8016996Z parm:           NVreg_GpuBlacklist:charp
2025-08-14T21:35:06.8017244Z parm:           NVreg_TemporaryFilePath:charp
2025-08-14T21:35:06.8017494Z parm:           NVreg_ExcludedGpus:charp
2025-08-14T21:35:06.8017731Z parm:           NVreg_DmaRemapPeerMmio:int
2025-08-14T21:35:06.8017972Z parm:           NVreg_RmNvlinkBandwidth:charp
2025-08-14T21:35:06.8018243Z parm:           NVreg_RmNvlinkBandwidthLinkCount:int
2025-08-14T21:35:06.8018508Z parm:           NVreg_ImexChannelCount:int
2025-08-14T21:35:06.8018743Z parm:           NVreg_CreateImexChannel0:int
2025-08-14T21:35:06.8019007Z parm:           NVreg_GrdmaPciTopoCheckOverride:int
2025-08-14T21:35:06.8019260Z parm:           rm_firmware_active:charp
2025-08-14T21:35:06.8019477Z + set +e
2025-08-14T21:35:06.8019616Z + nvidia-smi
2025-08-14T21:35:08.1880158Z Thu Aug 14 21:35:08 2025       
2025-08-14T21:35:08.1880614Z +-----------------------------------------------------------------------------------------+
2025-08-14T21:35:08.1881119Z | NVIDIA-SMI 570.133.07             Driver Version: 570.133.07     CUDA Version: 12.8     |
2025-08-14T21:35:08.1881594Z |-----------------------------------------+------------------------+----------------------+
2025-08-14T21:35:08.1882149Z | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
2025-08-14T21:35:08.1882672Z | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
2025-08-14T21:35:08.1883075Z |                                         |                        |               MIG M. |
2025-08-14T21:35:08.1883380Z |=========================================+========================+======================|
2025-08-14T21:35:08.1933122Z |   0  NVIDIA L4                      Off |   00000000:35:00.0 Off |                    0 |
2025-08-14T21:35:08.1933606Z | N/A   45C    P0             30W /   72W |       0MiB /  23034MiB |      4%      Default |
2025-08-14T21:35:08.1933991Z |                                         |                        |                  N/A |
2025-08-14T21:35:08.1934373Z +-----------------------------------------+------------------------+----------------------+
2025-08-14T21:35:08.1935013Z                                                                                          
2025-08-14T21:35:08.1935406Z +-----------------------------------------------------------------------------------------+
2025-08-14T21:35:08.1935808Z | Processes:                                                                              |
2025-08-14T21:35:08.1936234Z |  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
2025-08-14T21:35:08.1936644Z |        ID   ID                                                               Usage      |
2025-08-14T21:35:08.1936962Z |=========================================================================================|
2025-08-14T21:35:08.1937612Z |  No running processes found                                                             |
2025-08-14T21:35:08.1938050Z +-----------------------------------------------------------------------------------------+
2025-08-14T21:35:08.4941540Z + nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0
2025-08-14T21:35:09.8821092Z NVIDIA L4
2025-08-14T21:35:10.0587901Z + NVIDIA_SMI_STATUS=0
2025-08-14T21:35:10.0588410Z + '[' 0 -eq 0 ']'
2025-08-14T21:35:10.0588894Z + echo 'INFO: Ignoring allowed status 0'
2025-08-14T21:35:10.0589330Z + set -e
2025-08-14T21:35:10.0589643Z INFO: Ignoring allowed status 0
2025-08-14T21:35:10.0599127Z == Installing nvidia container toolkit for amzn2023 ==
2025-08-14T21:35:10.0602586Z + sudo yum install -y yum-utils
2025-08-14T21:35:10.4489701Z Last metadata expiration check: 0:07:17 ago on Thu Aug 14 21:27:53 2025.
2025-08-14T21:35:10.4685550Z Package dnf-utils-4.3.0-13.amzn2023.0.5.noarch is already installed.
2025-08-14T21:35:10.5027313Z Dependencies resolved.
2025-08-14T21:35:10.5205914Z Nothing to do.
2025-08-14T21:35:10.5206291Z Complete!
2025-08-14T21:35:10.6807262Z + [[ amzn2023 == \a\m\z\n\2\0\2\3 ]]
2025-08-14T21:35:10.6807925Z + YUM_REPO_URL=https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo
2025-08-14T21:35:10.6808625Z + sudo yum-config-manager --add-repo https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo
2025-08-14T21:35:10.9466823Z Adding repo from: https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo
2025-08-14T21:35:10.9908011Z + 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
2025-08-14T21:35:11.5174465Z nvidia-container-toolkit                         26 kB/s | 833  B     00:00    
2025-08-14T21:35:11.5376335Z Package nvidia-container-toolkit-1.17.8-1.x86_64 is already installed.
2025-08-14T21:35:11.5381087Z Package libnvidia-container-tools-1.17.8-1.x86_64 is already installed.
2025-08-14T21:35:11.5384328Z Package libnvidia-container1-1.17.8-1.x86_64 is already installed.
2025-08-14T21:35:11.5389689Z Package nvidia-container-toolkit-base-1.17.8-1.x86_64 is already installed.
2025-08-14T21:35:11.5734210Z Dependencies resolved.
2025-08-14T21:35:11.5914387Z Nothing to do.
2025-08-14T21:35:11.5914759Z Complete!
2025-08-14T21:35:11.7540373Z + sudo systemctl restart docker
2025-08-14T21:36:08.6079407Z Thu Aug 14 21:36:08 2025       
2025-08-14T21:36:08.6081098Z +-----------------------------------------------------------------------------------------+
2025-08-14T21:36:08.6081914Z | NVIDIA-SMI 570.133.07             Driver Version: 570.133.07     CUDA Version: 12.8     |
2025-08-14T21:36:08.6082566Z |-----------------------------------------+------------------------+----------------------+
2025-08-14T21:36:08.6083218Z | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
2025-08-14T21:36:08.6083933Z | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
2025-08-14T21:36:08.6084502Z |                                         |                        |               MIG M. |
2025-08-14T21:36:08.6084922Z |=========================================+========================+======================|
2025-08-14T21:36:08.6145175Z |   0  NVIDIA L4                      On  |   00000000:35:00.0 Off |                    0 |
2025-08-14T21:36:08.6145736Z | N/A   44C    P0             30W /   72W |       0MiB /  23034MiB |      4%      Default |
2025-08-14T21:36:08.6146226Z |                                         |                        |                  N/A |
2025-08-14T21:36:08.6146736Z +-----------------------------------------+------------------------+----------------------+
2025-08-14T21:36:08.6147253Z                                                                                          
2025-08-14T21:36:08.6147745Z +-----------------------------------------------------------------------------------------+
2025-08-14T21:36:08.6148321Z | Processes:                                                                              |
2025-08-14T21:36:08.6148885Z |  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
2025-08-14T21:36:08.6149410Z |        ID   ID                                                               Usage      |
2025-08-14T21:36:08.6149833Z |=========================================================================================|
2025-08-14T21:36:08.6150377Z |  No running processes found                                                             |
2025-08-14T21:36:08.6150994Z +-----------------------------------------------------------------------------------------+
2025-08-14T21:36:08.7590032Z Unable to find image 'public.ecr.aws/docker/library/python:3.13' locally
2025-08-14T21:36:09.0019180Z 3.13: Pulling from docker/library/python
2025-08-14T21:36:09.0945492Z 80b7316254b3: Pulling fs layer
2025-08-14T21:36:09.0945973Z 36e4db86de6e: Pulling fs layer
2025-08-14T21:36:09.0946337Z 8ea45766c644: Pulling fs layer
2025-08-14T21:36:09.0946876Z 3cb1455cf185: Pulling fs layer
2025-08-14T21:36:09.0947120Z 775c3c87ce6e: Pulling fs layer
2025-08-14T21:36:09.0947325Z 363804934c90: Pulling fs layer
2025-08-14T21:36:09.0947538Z f597144abcb3: Pulling fs layer
2025-08-14T21:36:09.0947746Z 775c3c87ce6e: Waiting
2025-08-14T21:36:09.0947935Z 363804934c90: Waiting
2025-08-14T21:36:09.0948100Z 3cb1455cf185: Waiting
2025-08-14T21:36:09.0948275Z f597144abcb3: Waiting
2025-08-14T21:36:09.2199979Z 36e4db86de6e: Verifying Checksum
2025-08-14T21:36:09.2200348Z 36e4db86de6e: Download complete
2025-08-14T21:36:09.2980245Z 80b7316254b3: Download complete
2025-08-14T21:36:09.3116666Z 8ea45766c644: Verifying Checksum
2025-08-14T21:36:09.3117046Z 8ea45766c644: Download complete
2025-08-14T21:36:09.3914073Z 775c3c87ce6e: Verifying Checksum
2025-08-14T21:36:09.3914478Z 775c3c87ce6e: Download complete
2025-08-14T21:36:09.4426668Z f597144abcb3: Verifying Checksum
2025-08-14T21:36:09.4427139Z f597144abcb3: Download complete
2025-08-14T21:36:09.4609036Z 363804934c90: Verifying Checksum
2025-08-14T21:36:09.4609457Z 363804934c90: Download complete
2025-08-14T21:36:09.9187271Z 3cb1455cf185: Verifying Checksum
2025-08-14T21:36:09.9187737Z 3cb1455cf185: Download complete
2025-08-14T21:36:10.6933368Z 80b7316254b3: Pull complete
2025-08-14T21:36:11.2081759Z 36e4db86de6e: Pull complete
2025-08-14T21:36:12.8984205Z 8ea45766c644: Pull complete
2025-08-14T21:36:17.4475393Z 3cb1455cf185: Pull complete
2025-08-14T21:36:17.6611444Z 775c3c87ce6e: Pull complete
2025-08-14T21:36:18.3176353Z 363804934c90: Pull complete
2025-08-14T21:36:18.5014958Z f597144abcb3: Pull complete
2025-08-14T21:36:18.5930484Z Digest: sha256:50cbf8e58ca53a806b99250b1ba2d16c19433e8c42e7eb4ac4ea924b095e280b
2025-08-14T21:36:18.6329471Z Status: Downloaded newer image for public.ecr.aws/docker/library/python:3.13
2025-08-14T21:36:26.5595844Z Thu Aug 14 21:36:26 2025       
2025-08-14T21:36:26.5596260Z +-----------------------------------------------------------------------------------------+
2025-08-14T21:36:26.5596771Z | NVIDIA-SMI 570.133.07             Driver Version: 570.133.07     CUDA Version: 12.8     |
2025-08-14T21:36:26.5597382Z |-----------------------------------------+------------------------+----------------------+
2025-08-14T21:36:26.5598008Z | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
2025-08-14T21:36:26.5598638Z | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
2025-08-14T21:36:26.5599047Z |                                         |                        |               MIG M. |
2025-08-14T21:36:26.5599304Z |=========================================+========================+======================|
2025-08-14T21:36:26.5686585Z |   0  NVIDIA L4                      On  |   00000000:35:00.0 Off |                    0 |
2025-08-14T21:36:26.5687050Z | N/A   43C    P8             12W /   72W |       0MiB /  23034MiB |      0%      Default |
2025-08-14T21:36:26.5687454Z |                                         |                        |                  N/A |
2025-08-14T21:36:26.5687885Z +-----------------------------------------+------------------------+----------------------+
2025-08-14T21:36:26.5689655Z                                                                                          
2025-08-14T21:36:26.5690040Z +-----------------------------------------------------------------------------------------+
2025-08-14T21:36:26.5690450Z | Processes:                                                                              |
2025-08-14T21:36:26.5690861Z |  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
2025-08-14T21:36:26.5691262Z |        ID   ID                                                               Usage      |
2025-08-14T21:36:26.5691581Z |=========================================================================================|
2025-08-14T21:36:26.5694602Z |  No running processes found                                                             |
2025-08-14T21:36:26.5695368Z +-----------------------------------------------------------------------------------------+
2025-08-14T21:36:27.4248971Z Command completed after 1 attempt(s).
2025-08-14T21:36:27.4338020Z Prepare all required actions
2025-08-14T21:36:27.4362198Z ##[group]Run ./.github/actions/get-workflow-job-id
2025-08-14T21:36:27.4362457Z with:
2025-08-14T21:36:27.4363022Z   github-token: ***
2025-08-14T21:36:27.4363217Z env:
2025-08-14T21:36:27.4363387Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:36:27.4363635Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T21:36:27.4363896Z ##[endgroup]
2025-08-14T21:36:27.4384986Z ##[group]Run set -eux
2025-08-14T21:36:27.4385182Z set -eux
2025-08-14T21:36:27.4385509Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-08-14T21:36:27.4397053Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:36:27.4397526Z env:
2025-08-14T21:36:27.4397690Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:36:27.4397951Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T21:36:27.4398326Z   GITHUB_TOKEN: ***
2025-08-14T21:36:27.4398507Z ##[endgroup]
2025-08-14T21:36:27.4427604Z + python3 .github/scripts/get_workflow_job_id.py 16976255045 i-0a9f0b7ba2fb10a0b
2025-08-14T21:36:28.3149498Z Setting output job-id=48128492217
2025-08-14T21:36:28.3150184Z Setting output job-name=linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu)
2025-08-14T21:36:28.3269881Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-08-14T21:36:28.3270481Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-08-14T21:36:28.3271169Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 &
2025-08-14T21:36:28.3271812Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}"
2025-08-14T21:36:28.3279302Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:36:28.3279586Z env:
2025-08-14T21:36:28.3279752Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:36:28.3279993Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T21:36:28.3280251Z   JOB_ID: 48128492217
2025-08-14T21:36:28.3280636Z   JOB_NAME: linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu)
2025-08-14T21:36:28.3281079Z   WORKFLOW_NAME: trunk
2025-08-14T21:36:28.3281264Z   WORKFLOW_RUN_ID: 16976255045
2025-08-14T21:36:28.3281480Z   MONITOR_LOG_INTERVAL: 5
2025-08-14T21:36:28.3281685Z   MONITOR_DATA_COLLECT_INTERVAL: 1
2025-08-14T21:36:28.3282017Z ##[endgroup]
2025-08-14T21:36:28.5858055Z Defaulting to user installation because normal site-packages is not writeable
2025-08-14T21:36:28.8942788Z Collecting psutil==5.9.8
2025-08-14T21:36:28.9091261Z   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)
2025-08-14T21:36:28.9751878Z Collecting dataclasses_json==0.6.7
2025-08-14T21:36:28.9788522Z   Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB)
2025-08-14T21:36:29.0050023Z Collecting nvidia-ml-py==11.525.84
2025-08-14T21:36:29.0088173Z   Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB)
2025-08-14T21:36:29.1240752Z Collecting marshmallow<4.0.0,>=3.18.0
2025-08-14T21:36:29.1282160Z   Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB)
2025-08-14T21:36:29.1504917Z Collecting typing-inspect<1,>=0.4.0
2025-08-14T21:36:29.1542100Z   Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB)
2025-08-14T21:36:29.2043804Z Collecting packaging>=17.0
2025-08-14T21:36:29.2079098Z   Downloading packaging-25.0-py3-none-any.whl (66 kB)
2025-08-14T21:36:29.2298466Z Collecting mypy-extensions>=0.3.0
2025-08-14T21:36:29.2329989Z   Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB)
2025-08-14T21:36:29.2749617Z Collecting typing-extensions>=3.7.4
2025-08-14T21:36:29.2788876Z   Downloading typing_extensions-4.14.1-py3-none-any.whl (43 kB)
2025-08-14T21:36:29.3647927Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json
2025-08-14T21:36:29.6137061Z 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-4.14.1 typing-inspect-0.9.0
2025-08-14T21:36:29.7650833Z Prepare all required actions
2025-08-14T21:36:29.7651173Z Getting action download info
2025-08-14T21:36:29.8924479Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-08-14T21:36:30.1624784Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093)
2025-08-14T21:36:30.5430671Z ##[group]Run ./.github/actions/download-build-artifacts
2025-08-14T21:36:30.5430948Z with:
2025-08-14T21:36:30.5431134Z   name: linux-jammy-cuda12.8-py3.10-gcc11
2025-08-14T21:36:30.5431375Z   s3-bucket: gha-artifacts
2025-08-14T21:36:30.5431571Z env:
2025-08-14T21:36:30.5431731Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:36:30.5431967Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T21:36:30.5432228Z ##[endgroup]
2025-08-14T21:36:30.5483796Z ##[group]Run seemethere/download-artifact-s3@v4
2025-08-14T21:36:30.5484058Z with:
2025-08-14T21:36:30.5484274Z   name: linux-jammy-cuda12.8-py3.10-gcc11
2025-08-14T21:36:30.5484524Z   s3-bucket: gha-artifacts
2025-08-14T21:36:30.5484718Z   region: us-east-1
2025-08-14T21:36:30.5484878Z env:
2025-08-14T21:36:30.5485026Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:36:30.5485279Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T21:36:30.5485546Z ##[endgroup]
2025-08-14T21:36:30.9491274Z (node:61940) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-08-14T21:36:30.9491773Z 
2025-08-14T21:36:30.9491953Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-08-14T21:36:30.9492460Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-08-14T21:36:30.9492978Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-08-14T21:36:31.3714414Z Found 1 objects with prefix pytorch/pytorch/16976255045/linux-jammy-cuda12.8-py3.10-gcc11/
2025-08-14T21:36:31.3714996Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-08-14T21:36:41.8136563Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-08-14T21:36:41.8141962Z Artifact download has finished successfully
2025-08-14T21:36:41.8391768Z ##[group]Run unzip -o artifacts.zip
2025-08-14T21:36:41.8392036Z unzip -o artifacts.zip
2025-08-14T21:36:41.8399354Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:36:41.8399649Z env:
2025-08-14T21:36:41.8399818Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:36:41.8400066Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T21:36:41.8400355Z ##[endgroup]
2025-08-14T21:36:41.8470411Z Archive:  artifacts.zip
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2025-08-14T21:36:51.8984540Z   inflating: build/bin/parallel_benchmark  
2025-08-14T21:36:51.9997622Z   inflating: build/bin/test_api      
2025-08-14T21:36:52.0304397Z   inflating: build/bin/test_lazy     
2025-08-14T21:36:52.0308157Z   inflating: build/bin/torch_shm_manager  
2025-08-14T21:36:52.0308471Z    creating: .additional_ci_files/
2025-08-14T21:36:52.0377466Z   inflating: .additional_ci_files/test-times.json  
2025-08-14T21:36:52.0639013Z   inflating: .additional_ci_files/test-class-times.json  
2025-08-14T21:36:52.0679549Z ##[group]Run rm artifacts.zip
2025-08-14T21:36:52.0679789Z rm artifacts.zip
2025-08-14T21:36:52.0687212Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:36:52.0687500Z env:
2025-08-14T21:36:52.0687673Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:36:52.0687923Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T21:36:52.0688190Z ##[endgroup]
2025-08-14T21:36:52.1583259Z ##[group]Run df -H
2025-08-14T21:36:52.1583518Z df -H
2025-08-14T21:36:52.1590197Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:36:52.1590472Z env:
2025-08-14T21:36:52.1590639Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:36:52.1590883Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T21:36:52.1591149Z ##[endgroup]
2025-08-14T21:36:52.1636201Z Filesystem        Size  Used Avail Use% Mounted on
2025-08-14T21:36:52.1636783Z devtmpfs          4.2M     0  4.2M   0% /dev
2025-08-14T21:36:52.1637106Z tmpfs              33G     0   33G   0% /dev/shm
2025-08-14T21:36:52.1637404Z tmpfs              13G  766k   13G   1% /run
2025-08-14T21:36:52.1637697Z /dev/nvme0n1p1    161G   53G  109G  33% /
2025-08-14T21:36:52.1637991Z tmpfs              33G   13k   33G   1% /tmp
2025-08-14T21:36:52.1638290Z /dev/nvme0n1p128   11M  1.4M  9.2M  13% /boot/efi
2025-08-14T21:36:52.1638606Z tmpfs             6.5G     0  6.5G   0% /run/user/0
2025-08-14T21:36:52.1679021Z Prepare all required actions
2025-08-14T21:36:52.1679507Z Getting action download info
2025-08-14T21:36:52.2828097Z ##[group]Run ./.github/actions/download-td-artifacts
2025-08-14T21:36:52.2828365Z with:
2025-08-14T21:36:52.2828523Z env:
2025-08-14T21:36:52.2828688Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:36:52.2828946Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T21:36:52.2829215Z ##[endgroup]
2025-08-14T21:36:52.2863684Z ##[group]Run seemethere/download-artifact-s3@v4
2025-08-14T21:36:52.2863950Z with:
2025-08-14T21:36:52.2864123Z   name: td_results
2025-08-14T21:36:52.2864309Z   s3-bucket: gha-artifacts
2025-08-14T21:36:52.2864509Z   region: us-east-1
2025-08-14T21:36:52.2864677Z env:
2025-08-14T21:36:52.2864853Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:36:52.2865109Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T21:36:52.2865448Z ##[endgroup]
2025-08-14T21:36:52.6823163Z (node:61961) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-08-14T21:36:52.6823658Z 
2025-08-14T21:36:52.6823867Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-08-14T21:36:52.6824381Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-08-14T21:36:52.6824915Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-08-14T21:36:52.8113857Z Found 1 objects with prefix pytorch/pytorch/16976255045/td_results/
2025-08-14T21:36:52.8114501Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json
2025-08-14T21:36:52.9685018Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json
2025-08-14T21:36:52.9690406Z Artifact download has finished successfully
2025-08-14T21:36:52.9934795Z ##[group]Run mkdir -p .additional_ci_files
2025-08-14T21:36:52.9935126Z mkdir -p .additional_ci_files
2025-08-14T21:36:52.9935477Z mv td_results.json .additional_ci_files/td_results.json || true
2025-08-14T21:36:52.9942674Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:36:52.9942973Z env:
2025-08-14T21:36:52.9943154Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:36:52.9943404Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T21:36:52.9943673Z ##[endgroup]
2025-08-14T21:36:53.0079973Z ##[group]Run .github/scripts/parse_ref.py
2025-08-14T21:36:53.0080293Z .github/scripts/parse_ref.py
2025-08-14T21:36:53.0086777Z shell: /usr/bin/bash -e {0}
2025-08-14T21:36:53.0086996Z env:
2025-08-14T21:36:53.0087166Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:36:53.0087412Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T21:36:53.0087681Z ##[endgroup]
2025-08-14T21:36:53.0279937Z Setting output branch=main
2025-08-14T21:36:53.0378799Z Prepare all required actions
2025-08-14T21:36:53.0379155Z Getting action download info
2025-08-14T21:36:53.1510831Z ##[group]Run ./.github/actions/filter-test-configs
2025-08-14T21:36:53.1511110Z with:
2025-08-14T21:36:53.1511454Z   github-token: ***
2025-08-14T21:36:53.1514026Z   test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "distributed", "shard": 1, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "distributed", "shard": 2, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "distributed", "shard": 3, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "pr_time_benchmarks", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.metal.nvidia.gpu"}]}
2025-08-14T21:36:53.1516858Z   job-name: linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu)
2025-08-14T21:36:53.1517310Z env:
2025-08-14T21:36:53.1517473Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:36:53.1517733Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T21:36:53.1518002Z ##[endgroup]
2025-08-14T21:36:53.1562196Z ##[group]Run nick-fields/retry@v3.0.0
2025-08-14T21:36:53.1562438Z with:
2025-08-14T21:36:53.1562604Z   shell: bash
2025-08-14T21:36:53.1562767Z   timeout_minutes: 10
2025-08-14T21:36:53.1562945Z   max_attempts: 5
2025-08-14T21:36:53.1563124Z   retry_wait_seconds: 30
2025-08-14T21:36:53.1563713Z   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

2025-08-14T21:36:53.1564333Z   polling_interval_seconds: 1
2025-08-14T21:36:53.1564546Z   warning_on_retry: true
2025-08-14T21:36:53.1564750Z   continue_on_error: false
2025-08-14T21:36:53.1564941Z env:
2025-08-14T21:36:53.1565105Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:36:53.1565343Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T21:36:53.1565749Z   GITHUB_TOKEN: ***
2025-08-14T21:36:53.1565943Z ##[endgroup]
2025-08-14T21:36:53.2433284Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2
2025-08-14T21:36:53.4477015Z Defaulting to user installation because normal site-packages is not writeable
2025-08-14T21:36:53.5511004Z Collecting requests==2.27.1
2025-08-14T21:36:53.5657236Z   Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB)
2025-08-14T21:36:53.7080532Z Collecting pyyaml==6.0.2
2025-08-14T21:36:53.7108388Z   Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB)
2025-08-14T21:36:53.7322261Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10)
2025-08-14T21:36:54.0623785Z Collecting charset-normalizer~=2.0.0
2025-08-14T21:36:54.0658161Z   Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB)
2025-08-14T21:36:54.0706339Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10)
2025-08-14T21:36:54.1120560Z Collecting certifi>=2017.4.17
2025-08-14T21:36:54.1147879Z   Downloading certifi-2025.8.3-py3-none-any.whl (161 kB)
2025-08-14T21:36:54.1966943Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml
2025-08-14T21:36:54.3089465Z Successfully installed certifi-2025.8.3 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1
2025-08-14T21:36:55.2237676Z Command completed after 1 attempt(s).
2025-08-14T21:36:55.2309816Z ##[group]Run set -x
2025-08-14T21:36:55.2310340Z set -x
2025-08-14T21:36:55.2322698Z 
2025-08-14T21:36:55.2323016Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-08-14T21:36:55.2323368Z # in runner workspace
2025-08-14T21:36:55.2323650Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py"
2025-08-14T21:36:55.2331907Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:36:55.2332188Z env:
2025-08-14T21:36:55.2332352Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:36:55.2332596Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T21:36:55.2332850Z ##[endgroup]
2025-08-14T21:36:55.2358471Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py
2025-08-14T21:36:55.2520688Z Setting output branch=main
2025-08-14T21:36:55.2578432Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}"
2025-08-14T21:36:55.2578749Z echo "Workflow: ${GITHUB_WORKFLOW}"
2025-08-14T21:36:55.2579016Z echo "Job name: ${JOB_NAME}"
2025-08-14T21:36:55.2579234Z 
2025-08-14T21:36:55.2579508Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-08-14T21:36:55.2579852Z # in runner workspace
2025-08-14T21:36:55.2580210Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \
2025-08-14T21:36:55.2580575Z   --workflow "${GITHUB_WORKFLOW}" \
2025-08-14T21:36:55.2580880Z   --job-name "${JOB_NAME}" \
2025-08-14T21:36:55.2583279Z   --test-matrix "{"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "distributed", "shard": 1, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "distributed", "shard": 2, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "distributed", "shard": 3, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "pr_time_benchmarks", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.metal.nvidia.gpu"}]}" \
2025-08-14T21:36:55.2585700Z   --selected-test-configs "" \
2025-08-14T21:36:55.2585955Z   --pr-number "${PR_NUMBER}" \
2025-08-14T21:36:55.2586190Z   --tag "${TAG}" \
2025-08-14T21:36:55.2586408Z   --event-name "${EVENT_NAME}" \
2025-08-14T21:36:55.2586650Z   --schedule "${SCHEDULE}" \
2025-08-14T21:36:55.2586878Z   --branch "${HEAD_BRANCH}"
2025-08-14T21:36:55.2593237Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:36:55.2593533Z env:
2025-08-14T21:36:55.2593699Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:36:55.2593942Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T21:36:55.2594464Z   GITHUB_TOKEN: ***
2025-08-14T21:36:55.2594872Z   JOB_NAME: linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu)
2025-08-14T21:36:55.2595309Z   PR_NUMBER: 
2025-08-14T21:36:55.2595468Z   TAG: 
2025-08-14T21:36:55.2595629Z   EVENT_NAME: push
2025-08-14T21:36:55.2595809Z   SCHEDULE: 
2025-08-14T21:36:55.2595964Z   HEAD_BRANCH: main
2025-08-14T21:36:55.2596141Z ##[endgroup]
2025-08-14T21:36:55.2619573Z Workflow: trunk
2025-08-14T21:36:55.2620107Z Job name: linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu)
2025-08-14T21:36:55.4262801Z Setting output keep-going=True
2025-08-14T21:36:55.4263304Z Setting output ci-verbose-test-logs=False
2025-08-14T21:36:55.4263907Z Setting output ci-test-showlocals=False
2025-08-14T21:36:55.4264256Z Setting output ci-no-test-timeout=False
2025-08-14T21:36:55.4264543Z Setting output ci-no-td=False
2025-08-14T21:36:55.4264829Z Setting output ci-td-distributed=False
2025-08-14T21:36:55.4265123Z Setting output is-unstable=False
2025-08-14T21:36:55.4265406Z Setting output reenabled-issues=
2025-08-14T21:36:55.4267935Z Setting output test-matrix={"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "distributed", "shard": 1, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "distributed", "shard": 2, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "distributed", "shard": 3, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "pr_time_benchmarks", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.metal.nvidia.gpu"}]}
2025-08-14T21:36:55.4270566Z Setting output is-test-matrix-empty=False
2025-08-14T21:36:55.4378569Z ##[group]Run echo "Filtered matrix:"
2025-08-14T21:36:55.4378841Z echo "Filtered matrix:"
2025-08-14T21:36:55.4381217Z echo "{"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "distributed", "shard": 1, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "distributed", "shard": 2, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "distributed", "shard": 3, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "pr_time_benchmarks", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.metal.nvidia.gpu"}]}"
2025-08-14T21:36:55.4383622Z 
2025-08-14T21:36:55.4383790Z echo
2025-08-14T21:36:55.4383995Z echo "Is the current job unstable? False"
2025-08-14T21:36:55.4384248Z 
2025-08-14T21:36:55.4384399Z echo
2025-08-14T21:36:55.4384587Z echo "Is keep-going label set? True"
2025-08-14T21:36:55.4384811Z 
2025-08-14T21:36:55.4384961Z echo
2025-08-14T21:36:55.4385130Z echo "Reenabled issues? "
2025-08-14T21:36:55.4392049Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:36:55.4392349Z env:
2025-08-14T21:36:55.4392517Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:36:55.4392760Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T21:36:55.4393030Z ##[endgroup]
2025-08-14T21:36:55.4417426Z Filtered matrix:
2025-08-14T21:36:55.4420768Z {include: [{config: default, shard: 1, num_shards: 5, runner: lf.linux.g6.4xlarge.experimental.nvidia.gpu}, {config: default, shard: 2, num_shards: 5, runner: lf.linux.g6.4xlarge.experimental.nvidia.gpu}, {config: default, shard: 3, num_shards: 5, runner: lf.linux.g6.4xlarge.experimental.nvidia.gpu}, {config: default, shard: 4, num_shards: 5, runner: lf.linux.g6.4xlarge.experimental.nvidia.gpu}, {config: default, shard: 5, num_shards: 5, runner: lf.linux.g6.4xlarge.experimental.nvidia.gpu}, {config: distributed, shard: 1, num_shards: 3, runner: lf.linux.g4dn.12xlarge.nvidia.gpu}, {config: distributed, shard: 2, num_shards: 3, runner: lf.linux.g4dn.12xlarge.nvidia.gpu}, {config: distributed, shard: 3, num_shards: 3, runner: lf.linux.g4dn.12xlarge.nvidia.gpu}, {config: pr_time_benchmarks, shard: 1, num_shards: 1, runner: linux.g4dn.metal.nvidia.gpu}]}
2025-08-14T21:36:55.4423598Z 
2025-08-14T21:36:55.4423711Z Is the current job unstable? False
2025-08-14T21:36:55.4423907Z 
2025-08-14T21:36:55.4424005Z Is keep-going label set? True
2025-08-14T21:36:55.4424192Z 
2025-08-14T21:36:55.4424285Z Reenabled issues? 
2025-08-14T21:36:55.4467098Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-08-14T21:36:55.4467517Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-08-14T21:36:55.4473818Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:36:55.4474244Z env:
2025-08-14T21:36:55.4474408Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:36:55.4474656Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T21:36:55.4474917Z   JOB_TIMEOUT: 360
2025-08-14T21:36:55.4475089Z ##[endgroup]
2025-08-14T21:36:55.4532617Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-14T21:36:55.4533033Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-14T21:36:55.4533372Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-14T21:36:55.4539524Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:36:55.4539800Z env:
2025-08-14T21:36:55.4539969Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:36:55.4540214Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T21:36:55.4540490Z ##[endgroup]
2025-08-14T21:36:55.4640547Z ##[group]Run set -x
2025-08-14T21:36:55.4640849Z set -x
2025-08-14T21:36:55.4641043Z 
2025-08-14T21:36:55.4641241Z if [[ $TEST_CONFIG == 'multigpu' ]]; then
2025-08-14T21:36:55.4641536Z   TEST_COMMAND=.ci/pytorch/multigpu-test.sh
2025-08-14T21:36:55.4641921Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then
2025-08-14T21:36:55.4642200Z   TEST_COMMAND=.ci/onnx/test.sh
2025-08-14T21:36:55.4642429Z else
2025-08-14T21:36:55.4642623Z   TEST_COMMAND=.ci/pytorch/test.sh
2025-08-14T21:36:55.4642839Z fi
2025-08-14T21:36:55.4642987Z 
2025-08-14T21:36:55.4643182Z # Leaving 1GB for the runner and other things
2025-08-14T21:36:55.4643604Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo)
2025-08-14T21:36:55.4644235Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap
2025-08-14T21:36:55.4644740Z # comes from https://github.com/pytorch/test-infra/pull/6058
2025-08-14T21:36:55.4645165Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3))
2025-08-14T21:36:55.4645469Z 
2025-08-14T21:36:55.4645671Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-08-14T21:36:55.4645932Z   SHM_OPTS=
2025-08-14T21:36:55.4646132Z   JENKINS_USER=
2025-08-14T21:36:55.4646387Z   # ensure that docker container cleanly exits in 12 hours
2025-08-14T21:36:55.4646726Z   # if for some reason cleanup action doesn't stop container
2025-08-14T21:36:55.4647011Z   # when job is cancelled
2025-08-14T21:36:55.4647251Z   DOCKER_SHELL_CMD="sleep 12h"
2025-08-14T21:36:55.4647466Z else
2025-08-14T21:36:55.4647661Z   SHM_OPTS="--shm-size=${SHM_SIZE}"
2025-08-14T21:36:55.4647904Z   JENKINS_USER="--user jenkins"
2025-08-14T21:36:55.4648132Z   DOCKER_SHELL_CMD=
2025-08-14T21:36:55.4648321Z fi
2025-08-14T21:36:55.4648484Z 
2025-08-14T21:36:55.4648731Z # detached container should get cleaned up by teardown_ec2_linux
2025-08-14T21:36:55.4649104Z # TODO: Stop building test binaries as part of the build phase
2025-08-14T21:36:55.4649539Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice
2025-08-14T21:36:55.4649919Z # shellcheck disable=SC2086,SC2090
2025-08-14T21:36:55.4650157Z container_name=$(docker run \
2025-08-14T21:36:55.4650398Z   ${GPU_FLAG:-} \
2025-08-14T21:36:55.4650621Z   ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \
2025-08-14T21:36:55.4650878Z   -e BUILD_ENVIRONMENT \
2025-08-14T21:36:55.4651091Z   -e PR_NUMBER \
2025-08-14T21:36:55.4651290Z   -e GITHUB_ACTIONS \
2025-08-14T21:36:55.4651505Z   -e GITHUB_REPOSITORY \
2025-08-14T21:36:55.4651724Z   -e GITHUB_WORKFLOW \
2025-08-14T21:36:55.4651928Z   -e GITHUB_JOB \
2025-08-14T21:36:55.4652304Z   -e GITHUB_RUN_ID \
2025-08-14T21:36:55.4652513Z   -e GITHUB_RUN_NUMBER \
2025-08-14T21:36:55.4652751Z   -e GITHUB_RUN_ATTEMPT \
2025-08-14T21:36:55.4652973Z   -e JOB_ID \
2025-08-14T21:36:55.4653157Z   -e JOB_NAME \
2025-08-14T21:36:55.4653336Z   -e BASE_SHA \
2025-08-14T21:36:55.4653521Z   -e BRANCH \
2025-08-14T21:36:55.4653705Z   -e SHA1 \
2025-08-14T21:36:55.4653890Z   -e AWS_DEFAULT_REGION \
2025-08-14T21:36:55.4654106Z   -e IN_WHEEL_TEST \
2025-08-14T21:36:55.4654308Z   -e SHARD_NUMBER \
2025-08-14T21:36:55.4654514Z   -e TEST_CONFIG \
2025-08-14T21:36:55.4654712Z   -e NUM_TEST_SHARDS \
2025-08-14T21:36:55.4654937Z   -e REENABLED_ISSUES \
2025-08-14T21:36:55.4655168Z   -e CONTINUE_THROUGH_ERROR \
2025-08-14T21:36:55.4655510Z   -e VERBOSE_TEST_LOGS \
2025-08-14T21:36:55.4655751Z   -e TEST_SHOWLOCALS \
2025-08-14T21:36:55.4655981Z   -e NO_TEST_TIMEOUT \
2025-08-14T21:36:55.4656178Z   -e NO_TD \
2025-08-14T21:36:55.4656374Z   -e TD_DISTRIBUTED \
2025-08-14T21:36:55.4656581Z   -e PR_LABELS \
2025-08-14T21:36:55.4656804Z   -e MAX_JOBS="$(nproc --ignore=2)" \
2025-08-14T21:36:55.4657041Z   -e SCCACHE_BUCKET \
2025-08-14T21:36:55.4657242Z   -e SCCACHE_REGION \
2025-08-14T21:36:55.4657446Z   -e XLA_CUDA \
2025-08-14T21:36:55.4657651Z   -e XLA_CLANG_CACHE_S3_BUCKET_NAME \
2025-08-14T21:36:55.4657913Z   -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \
2025-08-14T21:36:55.4658179Z   -e PYTORCH_TEST_RERUN_DISABLED_TESTS \
2025-08-14T21:36:55.4658442Z   -e SKIP_SCCACHE_INITIALIZATION=1 \
2025-08-14T21:36:55.4658692Z   -e HUGGING_FACE_HUB_TOKEN \
2025-08-14T21:36:55.4658937Z   -e SCRIBE_GRAPHQL_ACCESS_TOKEN \
2025-08-14T21:36:55.4659173Z   -e DASHBOARD_TAG \
2025-08-14T21:36:55.4659381Z   -e ARTIFACTS_FILE_SUFFIX \
2025-08-14T21:36:55.4659648Z   --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \
2025-08-14T21:36:55.4659957Z   --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \
2025-08-14T21:36:55.4660250Z   --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
2025-08-14T21:36:55.4660554Z   --security-opt seccomp=unconfined \
2025-08-14T21:36:55.4660803Z   --cap-add=SYS_PTRACE \
2025-08-14T21:36:55.4661018Z   --ipc=host \
2025-08-14T21:36:55.4661213Z   ${SHM_OPTS} \
2025-08-14T21:36:55.4661403Z   --tty \
2025-08-14T21:36:55.4661576Z   --detach \
2025-08-14T21:36:55.4661776Z   --name="${container_name}" \
2025-08-14T21:36:55.4662009Z   ${JENKINS_USER} \
2025-08-14T21:36:55.4662275Z   -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
2025-08-14T21:36:55.4662570Z   -w /var/lib/jenkins/workspace \
2025-08-14T21:36:55.4662803Z   "${DOCKER_IMAGE}" \
2025-08-14T21:36:55.4663017Z   ${DOCKER_SHELL_CMD}
2025-08-14T21:36:55.4663205Z )
2025-08-14T21:36:55.4663415Z # Propagate download.pytorch.org IP to container
2025-08-14T21:36:55.4663912Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts"
2025-08-14T21:36:55.4664435Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}"
2025-08-14T21:36:55.4664729Z 
2025-08-14T21:36:55.4664918Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-08-14T21:36:55.4665336Z   docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt"
2025-08-14T21:36:55.4665724Z fi
2025-08-14T21:36:55.4665878Z 
2025-08-14T21:36:55.4666243Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}"
2025-08-14T21:36:55.4672483Z shell: /usr/bin/bash -e {0}
2025-08-14T21:36:55.4672776Z env:
2025-08-14T21:36:55.4672950Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:36:55.4673204Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T21:36:55.4673520Z   BUILD_ENVIRONMENT: linux-jammy-cuda12.8-py3.10-gcc11
2025-08-14T21:36:55.4673789Z   PR_NUMBER: 
2025-08-14T21:36:55.4673989Z   GITHUB_REPOSITORY: pytorch/pytorch
2025-08-14T21:36:55.4674215Z   GITHUB_WORKFLOW: trunk
2025-08-14T21:36:55.4674395Z   GITHUB_JOB: test
2025-08-14T21:36:55.4674573Z   GITHUB_RUN_ID: 16976255045
2025-08-14T21:36:55.4674773Z   GITHUB_RUN_NUMBER: 140204
2025-08-14T21:36:55.4674965Z   GITHUB_RUN_ATTEMPT: 1
2025-08-14T21:36:55.4675143Z   JOB_ID: 48128492217
2025-08-14T21:36:55.4675546Z   JOB_NAME: linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu)
2025-08-14T21:36:55.4675978Z   BRANCH: main
2025-08-14T21:36:55.4676279Z   SHA1: 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:36:55.4676580Z   BASE_SHA: 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:36:55.4676835Z   TEST_CONFIG: default
2025-08-14T21:36:55.4677031Z   SHARD_NUMBER: 1
2025-08-14T21:36:55.4677202Z   NUM_TEST_SHARDS: 5
2025-08-14T21:36:55.4677373Z   REENABLED_ISSUES: 
2025-08-14T21:36:55.4677547Z   CONTINUE_THROUGH_ERROR: True
2025-08-14T21:36:55.4677753Z   VERBOSE_TEST_LOGS: False
2025-08-14T21:36:55.4677950Z   TEST_SHOWLOCALS: False
2025-08-14T21:36:55.4678137Z   NO_TEST_TIMEOUT: False
2025-08-14T21:36:55.4678313Z   NO_TD: False
2025-08-14T21:36:55.4678488Z   TD_DISTRIBUTED: False
2025-08-14T21:36:55.4678713Z   SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
2025-08-14T21:36:55.4678979Z   SCCACHE_REGION: us-east-1
2025-08-14T21:36:55.4679170Z   SHM_SIZE: 2g
2025-08-14T21:36:55.4679738Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:36:55.4680580Z   XLA_CUDA: 
2025-08-14T21:36:55.4680857Z   XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla
2025-08-14T21:36:55.4681212Z   PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0
2025-08-14T21:36:55.4681446Z   PYTORCH_TEST_RERUN_DISABLED_TESTS: 0
2025-08-14T21:36:55.4681666Z   DASHBOARD_TAG: 
2025-08-14T21:36:55.4682051Z   HUGGING_FACE_HUB_TOKEN: ***
2025-08-14T21:36:55.4682377Z   SCRIBE_GRAPHQL_ACCESS_TOKEN: ***
2025-08-14T21:36:55.4682777Z   ARTIFACTS_FILE_SUFFIX: test-default-1-5-lf.linux.g6.4xlarge.experimental.nvidia.gpu_48128492217
2025-08-14T21:36:55.4683181Z ##[endgroup]
2025-08-14T21:36:55.4706832Z + [[ default == \m\u\l\t\i\g\p\u ]]
2025-08-14T21:36:55.4707124Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *onnx* ]]
2025-08-14T21:36:55.4707402Z + TEST_COMMAND=.ci/pytorch/test.sh
2025-08-14T21:36:55.4709791Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo
2025-08-14T21:36:55.4730576Z + TOTAL_AVAILABLE_MEMORY_IN_GB='59.453 '
2025-08-14T21:36:55.4730873Z + TOTAL_MEMORY_WITH_SWAP=62
2025-08-14T21:36:55.4731150Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *\s\3\9\0\x* ]]
2025-08-14T21:36:55.4731448Z + SHM_OPTS=--shm-size=2g
2025-08-14T21:36:55.4731653Z + JENKINS_USER='--user jenkins'
2025-08-14T21:36:55.4731860Z + DOCKER_SHELL_CMD=
2025-08-14T21:36:55.4738410Z +++ nproc --ignore=2
2025-08-14T21:36:55.4767285Z ++ 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 SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=59g --memory-swap=62g --env-file=/tmp/github_env_16976255045 --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-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:37:08.1463735Z + container_name=244e1146d911f25210508ef2770e21716f1a5dc3066ef15081fb49917f20fa56
2025-08-14T21:37:08.1468315Z + grep download.pytorch.org /etc/hosts
2025-08-14T21:37:08.1469695Z + docker exec -i 244e1146d911f25210508ef2770e21716f1a5dc3066ef15081fb49917f20fa56 sudo bash -c '/bin/cat >> /etc/hosts'
2025-08-14T21:37:08.3075293Z + echo DOCKER_CONTAINER_ID=244e1146d911f25210508ef2770e21716f1a5dc3066ef15081fb49917f20fa56
2025-08-14T21:37:08.3075803Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *\s\3\9\0\x* ]]
2025-08-14T21:37:08.3079089Z ++ echo dist/torch-2.9.0a0+git1fc683c-cp310-cp310-linux_x86_64.whl
2025-08-14T21:37:08.3082127Z + docker exec -t 244e1146d911f25210508ef2770e21716f1a5dc3066ef15081fb49917f20fa56 sh -c 'python3 -m pip install dist/torch-2.9.0a0+git1fc683c-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh'
2025-08-14T21:37:08.6443662Z Processing ./dist/torch-2.9.0a0+git1fc683c-cp310-cp310-linux_x86_64.whl (from torch==2.9.0a0+git1fc683c)
2025-08-14T21:37:08.9636708Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.18.0)
2025-08-14T21:37:08.9640004Z 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+git1fc683c->torch==2.9.0a0+git1fc683c) (4.14.1)
2025-08-14T21:37:08.9643827Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (1.13.3)
2025-08-14T21:37:08.9647569Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (2.8.8)
2025-08-14T21:37:08.9650472Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.1.6)
2025-08-14T21:37:08.9654226Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (2025.5.1)
2025-08-14T21:37:08.9666033Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.3.0)
2025-08-14T21:37:08.9981987Z 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+git1fc683c->torch==2.9.0a0+git1fc683c) (1.22.4)
2025-08-14T21:37:08.9998719Z 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+git1fc683c->torch==2.9.0a0+git1fc683c) (1.3.0)
2025-08-14T21:37:09.0048838Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.0.2)
2025-08-14T21:37:09.3205761Z Installing collected packages: torch
2025-08-14T21:37:18.7730140Z Successfully installed torch-2.9.0a0+git1fc683c
2025-08-14T21:37:18.8210212Z + export TERM=vt100
2025-08-14T21:37:18.8210506Z + TERM=vt100
2025-08-14T21:37:18.8212759Z ++ dirname .ci/pytorch/test.sh
2025-08-14T21:37:18.8221806Z + source .ci/pytorch/common.sh
2025-08-14T21:37:18.8224800Z +++ dirname .ci/pytorch/common.sh
2025-08-14T21:37:18.8233342Z ++ source .ci/pytorch/common_utils.sh
2025-08-14T21:37:18.8234836Z +++ declare -f -t trap_add
2025-08-14T21:37:18.8239746Z ++ set -ex -o pipefail
2025-08-14T21:37:18.8240102Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc11 == *rocm* ]]
2025-08-14T21:37:18.8240387Z ++ BUILD_TEST_LIBTORCH=0
2025-08-14T21:37:18.8243396Z ++ dirname .ci/pytorch/test.sh
2025-08-14T21:37:18.8251074Z + source .ci/pytorch/common-build.sh
2025-08-14T21:37:18.8252629Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc11 != *win-* ]]
2025-08-14T21:37:18.8257848Z ++++ dirname .ci/pytorch/common-build.sh
2025-08-14T21:37:18.8266785Z +++ cd .ci/pytorch
2025-08-14T21:37:18.8266983Z +++ pwd -P
2025-08-14T21:37:18.8269422Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch
2025-08-14T21:37:18.8269834Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc11 == *-pch* ]]
2025-08-14T21:37:18.8270135Z ++ which sccache
2025-08-14T21:37:18.8282351Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]]
2025-08-14T21:37:18.8282723Z ++ sccache --stop-server
2025-08-14T21:37:18.8311256Z ++ true
2025-08-14T21:37:18.8312047Z ++ rm -f /var/lib/jenkins/sccache_error.log
2025-08-14T21:37:18.8321398Z ++ trap_add sccache_epilogue EXIT
2025-08-14T21:37:18.8321704Z ++ trap_add_cmd=sccache_epilogue
2025-08-14T21:37:18.8322206Z ++ shift
2025-08-14T21:37:18.8322420Z ++ for trap_add_name in "$@"
2025-08-14T21:37:18.8327551Z ++++ trap -p EXIT
2025-08-14T21:37:18.8329676Z +++ eval 'extract_trap_cmd '
2025-08-14T21:37:18.8329890Z ++++ extract_trap_cmd
2025-08-14T21:37:18.8330105Z ++++ printf '%s\n' ''
2025-08-14T21:37:18.8330383Z +++ printf '%s\n' sccache_epilogue
2025-08-14T21:37:18.8332076Z ++ trap -- '
2025-08-14T21:37:18.8332373Z sccache_epilogue' EXIT
2025-08-14T21:37:18.8332577Z ++ [[ -n 1 ]]
2025-08-14T21:37:18.8332875Z ++ echo 'Skipping sccache server initialization, setting environment variables'
2025-08-14T21:37:18.8333323Z Skipping sccache server initialization, setting environment variables
2025-08-14T21:37:18.8333641Z ++ export SCCACHE_IDLE_TIMEOUT=0
2025-08-14T21:37:18.8333862Z ++ SCCACHE_IDLE_TIMEOUT=0
2025-08-14T21:37:18.8334128Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-14T21:37:18.8334458Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-14T21:37:18.8334770Z ++ export RUST_LOG=sccache::server=error
2025-08-14T21:37:18.8335012Z ++ RUST_LOG=sccache::server=error
2025-08-14T21:37:18.8335229Z ++ sccache --zero-stats
2025-08-14T21:37:18.9319280Z Statistics zeroed.
2025-08-14T21:37:18.9325221Z ++ which ccache
2025-08-14T21:37:18.9336543Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *rocm* ]]
2025-08-14T21:37:18.9337198Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *s390x* ]]
2025-08-14T21:37:18.9337767Z + [[ -d /var/lib/jenkins/workspace ]]
2025-08-14T21:37:18.9339806Z ++ stat -c %u /var/lib/jenkins/workspace
2025-08-14T21:37:18.9354084Z + WORKSPACE_ORIGINAL_OWNER_ID=1000
2025-08-14T21:37:18.9354342Z + trap_add cleanup_workspace EXIT
2025-08-14T21:37:18.9354616Z + trap_add_cmd=cleanup_workspace
2025-08-14T21:37:18.9354873Z + shift
2025-08-14T21:37:18.9355076Z + for trap_add_name in "$@"
2025-08-14T21:37:18.9361466Z +++ trap -p EXIT
2025-08-14T21:37:18.9364438Z ++ eval 'extract_trap_cmd trap -- '\''
2025-08-14T21:37:18.9364761Z sccache_epilogue'\'' EXIT'
2025-08-14T21:37:18.9365023Z +++ extract_trap_cmd trap -- '
2025-08-14T21:37:18.9365276Z sccache_epilogue' EXIT
2025-08-14T21:37:18.9365498Z +++ printf '%s\n' '
2025-08-14T21:37:18.9365702Z sccache_epilogue'
2025-08-14T21:37:18.9365936Z ++ printf '%s\n' cleanup_workspace
2025-08-14T21:37:18.9367412Z + trap -- '
2025-08-14T21:37:18.9367622Z sccache_epilogue
2025-08-14T21:37:18.9367851Z cleanup_workspace' EXIT
2025-08-14T21:37:18.9368148Z + sudo chown -R jenkins /var/lib/jenkins/workspace
2025-08-14T21:37:19.7320514Z + git config --global --add safe.directory /var/lib/jenkins/workspace
2025-08-14T21:37:19.7339032Z + echo 'Environment variables:'
2025-08-14T21:37:19.7339326Z Environment variables:
2025-08-14T21:37:19.7339551Z + env
2025-08-14T21:37:19.7349102Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-14T21:37:19.7349868Z CONTINUE_THROUGH_ERROR=True
2025-08-14T21:37:19.7350360Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc11
2025-08-14T21:37:19.7351088Z HOSTNAME=244e1146d911
2025-08-14T21:37:19.7351754Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_daf9be92-e734-4efb-b579-675f3ad63c26
2025-08-14T21:37:19.7352339Z GITHUB_ACTION=__run_2
2025-08-14T21:37:19.7352598Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-08-14T21:37:19.7352874Z GITHUB_RUN_NUMBER=140204
2025-08-14T21:37:19.7353117Z TEST_CONFIG=default
2025-08-14T21:37:19.7353355Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-08-14T21:37:19.7353652Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-08-14T21:37:19.7353940Z SCCACHE_IDLE_TIMEOUT=0
2025-08-14T21:37:19.7354501Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-08-14T21:37:19.7354815Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-08-14T21:37:19.7355046Z GITHUB_REF_TYPE=branch
2025-08-14T21:37:19.7355333Z TORCH_CUDA_ARCH_LIST=Maxwell
2025-08-14T21:37:19.7355732Z BASE_SHA=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:37:19.7356077Z XLA_CUDA=
2025-08-14T21:37:19.7356274Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-08-14T21:37:19.7366673Z HUGGING_FACE_HUB_TOKEN=***
2025-08-14T21:37:19.7367070Z ***
2025-08-14T21:37:19.7367268Z GITHUB_REPOSITORY_ID=65600975
2025-08-14T21:37:19.7367487Z GITHUB_ACTIONS=true
2025-08-14T21:37:19.7367685Z NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T21:37:19.7367950Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-14T21:37:19.7368237Z SHA1=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:37:19.7368515Z GITHUB_SHA=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:37:19.7368890Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/trunk.yml@refs/heads/main
2025-08-14T21:37:19.7369241Z UCC_HOME=/usr
2025-08-14T21:37:19.7369420Z VERBOSE_TEST_LOGS=False
2025-08-14T21:37:19.7369610Z GITHUB_REF=refs/heads/main
2025-08-14T21:37:19.7369804Z SHARD_NUMBER=1
2025-08-14T21:37:19.7369977Z GITHUB_REF_PROTECTED=true
2025-08-14T21:37:19.7370177Z HOME=/var/lib/jenkins
2025-08-14T21:37:19.7370382Z GITHUB_API_URL=https://api.github.com
2025-08-14T21:37:19.7370633Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-08-14T21:37:19.7370902Z UCX_COMMIT=7bb2722ff2187a0cad557ae4a6afa090569f83fb
2025-08-14T21:37:19.7371159Z USE_SYSTEM_NCCL=1
2025-08-14T21:37:19.7371327Z NUM_TEST_SHARDS=5
2025-08-14T21:37:19.7371486Z UCX_HOME=/usr
2025-08-14T21:37:19.7371906Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_daf9be92-e734-4efb-b579-675f3ad63c26
2025-08-14T21:37:19.7372576Z JOB_NAME=linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu)
2025-08-14T21:37:19.7373239Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_daf9be92-e734-4efb-b579-675f3ad63c26
2025-08-14T21:37:19.7373817Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-08-14T21:37:19.7374181Z GITHUB_EVENT_NAME=push
2025-08-14T21:37:19.7374364Z DASHBOARD_TAG=
2025-08-14T21:37:19.7374545Z GITHUB_RUN_ID=16976255045
2025-08-14T21:37:19.7374739Z INSTALLED_OPENBLAS=
2025-08-14T21:37:19.7375184Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_daf9be92-e734-4efb-b579-675f3ad63c26
2025-08-14T21:37:19.7375677Z GITHUB_ACTOR=pytorchmergebot
2025-08-14T21:37:19.7375880Z PR_NUMBER=
2025-08-14T21:37:19.7376038Z DESIRED_CUDA=12.8.1
2025-08-14T21:37:19.7376214Z GITHUB_RUN_ATTEMPT=1
2025-08-14T21:37:19.7376404Z ANACONDA_PYTHON_VERSION=3.10
2025-08-14T21:37:19.7376644Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-08-14T21:37:19.7376897Z TERM=vt100
2025-08-14T21:37:19.7377075Z INSTALLED_VISION=yes
2025-08-14T21:37:19.7377252Z BRANCH=main
2025-08-14T21:37:19.7377429Z SCCACHE_REGION=us-east-1
2025-08-14T21:37:19.7377635Z OPENSSL_ROOT_DIR=/opt/openssl
2025-08-14T21:37:19.7377843Z CUDA_PATH=/usr/local/cuda
2025-08-14T21:37:19.7378236Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-08-14T21:37:19.7378671Z GITHUB_SERVER_URL=https://github.com
2025-08-14T21:37:19.7378947Z UCC_COMMIT=20eae37090a4ce1b32bcce6144ccad0b49943e0b
2025-08-14T21:37:19.7379346Z REENABLED_ISSUES=
2025-08-14T21:37:19.7379520Z DOCS=
2025-08-14T21:37:19.7379679Z SHLVL=1
2025-08-14T21:37:19.7379888Z MAX_JOBS=14
2025-08-14T21:37:19.7380059Z GITHUB_ACTOR_ID=97764156
2025-08-14T21:37:19.7380316Z GITHUB_WORKFLOW_SHA=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:37:19.7380605Z GITHUB_REF_NAME=main
2025-08-14T21:37:19.7380885Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-08-14T21:37:19.7381198Z GITHUB_JOB=test
2025-08-14T21:37:19.7381367Z NO_TEST_TIMEOUT=False
2025-08-14T21:37:19.7381558Z TD_DISTRIBUTED=False
2025-08-14T21:37:19.7381749Z GITHUB_REPOSITORY=pytorch/pytorch
2025-08-14T21:37:19.7381963Z GITHUB_RETENTION_DAYS=90
2025-08-14T21:37:19.7382175Z OPENSSL_DIR=/opt/openssl
2025-08-14T21:37:19.7382370Z GITHUB_ACTION_REPOSITORY=
2025-08-14T21:37:19.7383016Z 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
2025-08-14T21:37:19.7383622Z GITHUB_BASE_REF=
2025-08-14T21:37:19.7383800Z INSTALLED_ACL=
2025-08-14T21:37:19.7384160Z ARTIFACTS_FILE_SUFFIX=test-default-1-5-lf.linux.g6.4xlarge.experimental.nvidia.gpu_48128492217
2025-08-14T21:37:19.7384556Z CI=true
2025-08-14T21:37:19.7384727Z GITHUB_REPOSITORY_OWNER=pytorch
2025-08-14T21:37:19.7384981Z RUST_LOG=sccache::server=error
2025-08-14T21:37:19.7385194Z JOB_ID=48128492217
2025-08-14T21:37:19.7385356Z GITHUB_HEAD_REF=
2025-08-14T21:37:19.7385527Z GITHUB_ACTION_REF=
2025-08-14T21:37:19.7385738Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-08-14T21:37:19.7385996Z TEST_SHOWLOCALS=False
2025-08-14T21:37:19.7386179Z GITHUB_WORKFLOW=trunk
2025-08-14T21:37:19.7386368Z DEBIAN_FRONTEND=noninteractive
2025-08-14T21:37:19.7386827Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_daf9be92-e734-4efb-b579-675f3ad63c26
2025-08-14T21:37:19.7387294Z NO_TD=False
2025-08-14T21:37:19.7387467Z SKIP_SCCACHE_INITIALIZATION=1
2025-08-14T21:37:19.7387696Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-08-14T21:37:19.7387928Z _=/usr/bin/env
2025-08-14T21:37:19.7388177Z ++ python -c 'import site; print(site.getsitepackages()[0])'
2025-08-14T21:37:19.7474002Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch
2025-08-14T21:37:19.7474951Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-08-14T21:37:19.7475661Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib
2025-08-14T21:37:19.7476259Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test
2025-08-14T21:37:19.7476773Z + BUILD_DIR=build
2025-08-14T21:37:19.7477008Z + BUILD_RENAMED_DIR=build_renamed
2025-08-14T21:37:19.7477296Z + BUILD_BIN_DIR=build/bin
2025-08-14T21:37:19.7477524Z + SHARD_NUMBER=1
2025-08-14T21:37:19.7477741Z + NUM_TEST_SHARDS=5
2025-08-14T21:37:19.7477992Z + export TORCH_SERIALIZATION_DEBUG=1
2025-08-14T21:37:19.7478284Z + TORCH_SERIALIZATION_DEBUG=1
2025-08-14T21:37:19.7478537Z + export VALGRIND=ON
2025-08-14T21:37:19.7478762Z + VALGRIND=ON
2025-08-14T21:37:19.7479019Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *clang9* ]]
2025-08-14T21:37:19.7479367Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *xpu* ]]
2025-08-14T21:37:19.7479718Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *s390x* ]]
2025-08-14T21:37:19.7480020Z + [[ 0 == \1 ]]
2025-08-14T21:37:19.7480271Z + [[ True == \1 ]]
2025-08-14T21:37:19.7480577Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *bazel* ]]
2025-08-14T21:37:19.7480911Z ++ realpath build/custom_test_artifacts
2025-08-14T21:37:19.7490347Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts
2025-08-14T21:37:19.7490826Z + [[ -n '' ]]
2025-08-14T21:37:19.7491028Z + echo 'Environment variables'
2025-08-14T21:37:19.7491239Z Environment variables
2025-08-14T21:37:19.7491403Z + env
2025-08-14T21:37:19.7497634Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-14T21:37:19.7498354Z CONTINUE_THROUGH_ERROR=True
2025-08-14T21:37:19.7498822Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc11
2025-08-14T21:37:19.7499215Z HOSTNAME=244e1146d911
2025-08-14T21:37:19.7499774Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_daf9be92-e734-4efb-b579-675f3ad63c26
2025-08-14T21:37:19.7500299Z GITHUB_ACTION=__run_2
2025-08-14T21:37:19.7500511Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-08-14T21:37:19.7500733Z GITHUB_RUN_NUMBER=140204
2025-08-14T21:37:19.7500972Z TEST_CONFIG=default
2025-08-14T21:37:19.7501293Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-08-14T21:37:19.7501626Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-08-14T21:37:19.7501858Z SCCACHE_IDLE_TIMEOUT=0
2025-08-14T21:37:19.7502189Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-08-14T21:37:19.7502417Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-08-14T21:37:19.7502650Z GITHUB_REF_TYPE=branch
2025-08-14T21:37:19.7503011Z TORCH_CUDA_ARCH_LIST=Maxwell
2025-08-14T21:37:19.7503261Z BASE_SHA=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:37:19.7503510Z XLA_CUDA=
2025-08-14T21:37:19.7503689Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-08-14T21:37:19.7503993Z HUGGING_FACE_HUB_TOKEN=***
2025-08-14T21:37:19.7504230Z ***
2025-08-14T21:37:19.7504403Z GITHUB_REPOSITORY_ID=65600975
2025-08-14T21:37:19.7504614Z GITHUB_ACTIONS=true
2025-08-14T21:37:19.7504805Z NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T21:37:19.7505140Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-14T21:37:19.7505568Z SHA1=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:37:19.7505976Z GITHUB_SHA=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:37:19.7506586Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/trunk.yml@refs/heads/main
2025-08-14T21:37:19.7506996Z UCC_HOME=/usr
2025-08-14T21:37:19.7507275Z TORCH_SERIALIZATION_DEBUG=1
2025-08-14T21:37:19.7507621Z VERBOSE_TEST_LOGS=False
2025-08-14T21:37:19.7507829Z GITHUB_REF=refs/heads/main
2025-08-14T21:37:19.7508022Z SHARD_NUMBER=1
2025-08-14T21:37:19.7508195Z GITHUB_REF_PROTECTED=true
2025-08-14T21:37:19.7508393Z HOME=/var/lib/jenkins
2025-08-14T21:37:19.7508597Z GITHUB_API_URL=https://api.github.com
2025-08-14T21:37:19.7508854Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-08-14T21:37:19.7509111Z UCX_COMMIT=7bb2722ff2187a0cad557ae4a6afa090569f83fb
2025-08-14T21:37:19.7509366Z USE_SYSTEM_NCCL=1
2025-08-14T21:37:19.7509548Z NUM_TEST_SHARDS=5
2025-08-14T21:37:19.7509717Z UCX_HOME=/usr
2025-08-14T21:37:19.7510136Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_daf9be92-e734-4efb-b579-675f3ad63c26
2025-08-14T21:37:19.7510815Z JOB_NAME=linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu)
2025-08-14T21:37:19.7511461Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_daf9be92-e734-4efb-b579-675f3ad63c26
2025-08-14T21:37:19.7512336Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-08-14T21:37:19.7512699Z GITHUB_EVENT_NAME=push
2025-08-14T21:37:19.7512886Z DASHBOARD_TAG=
2025-08-14T21:37:19.7513055Z GITHUB_RUN_ID=16976255045
2025-08-14T21:37:19.7513249Z INSTALLED_OPENBLAS=
2025-08-14T21:37:19.7513685Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_daf9be92-e734-4efb-b579-675f3ad63c26
2025-08-14T21:37:19.7514221Z GITHUB_ACTOR=pytorchmergebot
2025-08-14T21:37:19.7514421Z PR_NUMBER=
2025-08-14T21:37:19.7514579Z DESIRED_CUDA=12.8.1
2025-08-14T21:37:19.7514769Z GITHUB_RUN_ATTEMPT=1
2025-08-14T21:37:19.7514951Z VALGRIND=ON
2025-08-14T21:37:19.7515114Z ANACONDA_PYTHON_VERSION=3.10
2025-08-14T21:37:19.7515353Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-08-14T21:37:19.7515605Z TERM=vt100
2025-08-14T21:37:19.7515760Z INSTALLED_VISION=yes
2025-08-14T21:37:19.7515927Z BRANCH=main
2025-08-14T21:37:19.7516083Z SCCACHE_REGION=us-east-1
2025-08-14T21:37:19.7516286Z OPENSSL_ROOT_DIR=/opt/openssl
2025-08-14T21:37:19.7516489Z CUDA_PATH=/usr/local/cuda
2025-08-14T21:37:19.7516857Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-08-14T21:37:19.7517467Z GITHUB_SERVER_URL=https://github.com
2025-08-14T21:37:19.7517744Z UCC_COMMIT=20eae37090a4ce1b32bcce6144ccad0b49943e0b
2025-08-14T21:37:19.7517992Z REENABLED_ISSUES=
2025-08-14T21:37:19.7518153Z DOCS=
2025-08-14T21:37:19.7518304Z SHLVL=1
2025-08-14T21:37:19.7518456Z MAX_JOBS=14
2025-08-14T21:37:19.7518621Z GITHUB_ACTOR_ID=97764156
2025-08-14T21:37:19.7518869Z GITHUB_WORKFLOW_SHA=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:37:19.7519132Z GITHUB_REF_NAME=main
2025-08-14T21:37:19.7519417Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-08-14T21:37:19.7519724Z GITHUB_JOB=test
2025-08-14T21:37:19.7519886Z NO_TEST_TIMEOUT=False
2025-08-14T21:37:19.7520064Z TD_DISTRIBUTED=False
2025-08-14T21:37:19.7520258Z GITHUB_REPOSITORY=pytorch/pytorch
2025-08-14T21:37:19.7520600Z GITHUB_RETENTION_DAYS=90
2025-08-14T21:37:19.7520814Z OPENSSL_DIR=/opt/openssl
2025-08-14T21:37:19.7521023Z GITHUB_ACTION_REPOSITORY=
2025-08-14T21:37:19.7521580Z 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
2025-08-14T21:37:19.7522264Z GITHUB_BASE_REF=
2025-08-14T21:37:19.7522436Z INSTALLED_ACL=
2025-08-14T21:37:19.7522785Z ARTIFACTS_FILE_SUFFIX=test-default-1-5-lf.linux.g6.4xlarge.experimental.nvidia.gpu_48128492217
2025-08-14T21:37:19.7523187Z CI=true
2025-08-14T21:37:19.7523347Z GITHUB_REPOSITORY_OWNER=pytorch
2025-08-14T21:37:19.7523582Z RUST_LOG=sccache::server=error
2025-08-14T21:37:19.7523775Z JOB_ID=48128492217
2025-08-14T21:37:19.7523932Z GITHUB_HEAD_REF=
2025-08-14T21:37:19.7524097Z GITHUB_ACTION_REF=
2025-08-14T21:37:19.7524305Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-08-14T21:37:19.7524554Z TEST_SHOWLOCALS=False
2025-08-14T21:37:19.7524744Z GITHUB_WORKFLOW=trunk
2025-08-14T21:37:19.7524940Z DEBIAN_FRONTEND=noninteractive
2025-08-14T21:37:19.7525390Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_daf9be92-e734-4efb-b579-675f3ad63c26
2025-08-14T21:37:19.7525859Z NO_TD=False
2025-08-14T21:37:19.7526029Z SKIP_SCCACHE_INITIALIZATION=1
2025-08-14T21:37:19.7526244Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-08-14T21:37:19.7526467Z _=/usr/bin/env
2025-08-14T21:37:19.7526632Z + echo 'Testing pytorch'
2025-08-14T21:37:19.7526813Z Testing pytorch
2025-08-14T21:37:19.7526987Z + export LANG=C.UTF-8
2025-08-14T21:37:19.7527158Z + LANG=C.UTF-8
2025-08-14T21:37:19.7527334Z + PR_NUMBER=
2025-08-14T21:37:19.7527499Z + [[ default == \d\e\f\a\u\l\t ]]
2025-08-14T21:37:19.7527723Z + export CUDA_VISIBLE_DEVICES=0
2025-08-14T21:37:19.7527928Z + CUDA_VISIBLE_DEVICES=0
2025-08-14T21:37:19.7528119Z + export HIP_VISIBLE_DEVICES=0
2025-08-14T21:37:19.7528324Z + HIP_VISIBLE_DEVICES=0
2025-08-14T21:37:19.7528529Z + [[ default == \d\i\s\t\r\i\b\u\t\e\d ]]
2025-08-14T21:37:19.7528743Z + [[ default == \s\l\o\w ]]
2025-08-14T21:37:19.7528998Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *slow-gradcheck* ]]
2025-08-14T21:37:19.7529317Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *cuda* ]]
2025-08-14T21:37:19.7529588Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda
2025-08-14T21:37:19.7529841Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda
2025-08-14T21:37:19.7530076Z + [[ default == *crossref* ]]
2025-08-14T21:37:19.7530297Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *rocm* ]]
2025-08-14T21:37:19.7530580Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *xpu* ]]
2025-08-14T21:37:19.7530886Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *-bazel-* ]]
2025-08-14T21:37:19.7531149Z + pip_install ninja==1.10.2
2025-08-14T21:37:19.7531399Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-08-14T21:37:19.7531740Z + python3 -m pip install --progress-bar off ninja==1.10.2
2025-08-14T21:37:21.4397803Z Collecting ninja==1.10.2
2025-08-14T21:37:21.4541351Z   Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB)
2025-08-14T21:37:21.5090600Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB)
2025-08-14T21:37:21.8508847Z Installing collected packages: ninja
2025-08-14T21:37:21.8509228Z   Attempting uninstall: ninja
2025-08-14T21:37:21.8515810Z     Found existing installation: ninja 1.11.1.3
2025-08-14T21:37:21.8538297Z     Uninstalling ninja-1.11.1.3:
2025-08-14T21:37:21.8628659Z       Successfully uninstalled ninja-1.11.1.3
2025-08-14T21:37:21.9292951Z Successfully installed ninja-1.10.2
2025-08-14T21:37:21.9742438Z + 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
2025-08-14T21:37:21.9744253Z + 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
2025-08-14T21:37:21.9745297Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *aarch64* ]]
2025-08-14T21:37:21.9745767Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *asan* ]]
2025-08-14T21:37:21.9746174Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *-debug* ]]
2025-08-14T21:37:21.9746469Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *-bazel-* ]]
2025-08-14T21:37:21.9746890Z + echo 'We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc11. Expect the assertion to pass'
2025-08-14T21:37:21.9747406Z We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc11. Expect the assertion to pass
2025-08-14T21:37:21.9747750Z + cd test
2025-08-14T21:37:21.9748013Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)'
2025-08-14T21:37:23.3591020Z + [[ default == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]]
2025-08-14T21:37:23.3591426Z + [[ default == \n\o\g\p\u\_\A\V\X\5\1\2 ]]
2025-08-14T21:37:23.3591789Z + [[ default == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]]
2025-08-14T21:37:23.3593915Z + DYNAMO_BENCHMARK_FLAGS=()
2025-08-14T21:37:23.3594571Z + [[ default == *pr_time_benchmarks* ]]
2025-08-14T21:37:23.3595025Z + [[ default == *dynamo_eager* ]]
2025-08-14T21:37:23.3595327Z + [[ default == *aot_eager* ]]
2025-08-14T21:37:23.3595709Z + [[ default == *aot_inductor* ]]
2025-08-14T21:37:23.3595985Z + [[ default == *max_autotune_inductor* ]]
2025-08-14T21:37:23.3596320Z + [[ default == *inductor* ]]
2025-08-14T21:37:23.3596596Z + [[ default == *dynamic* ]]
2025-08-14T21:37:23.3596790Z + [[ default == *cpu* ]]
2025-08-14T21:37:23.3597012Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda)
2025-08-14T21:37:23.3612614Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *libtorch* ]]
2025-08-14T21:37:23.3612954Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *-bazel-* ]]
2025-08-14T21:37:23.3615174Z + cd test
2025-08-14T21:37:23.3615606Z + python -c 'import torch; print(torch.__config__.show())'
2025-08-14T21:37:24.7255642Z PyTorch built with:
2025-08-14T21:37:24.7255952Z   - GCC 11.4
2025-08-14T21:37:24.7256202Z   - C++ Version: 201703
2025-08-14T21:37:24.7256740Z   - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-08-14T21:37:24.7257437Z   - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-08-14T21:37:24.7257839Z   - OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-08-14T21:37:24.7258159Z   - LAPACK is enabled (usually provided by MKL)
2025-08-14T21:37:24.7258494Z   - NNPACK is enabled
2025-08-14T21:37:24.7258747Z   - CPU capability usage: AVX2
2025-08-14T21:37:24.7259011Z   - CUDA Runtime 12.8
2025-08-14T21:37:24.7259457Z   - NVCC architecture flags: -gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_89,code=sm_89
2025-08-14T21:37:24.7259927Z   - CuDNN 90.8
2025-08-14T21:37:24.7264109Z   - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=1fc683cf17c8c673044538d10266c00f92987be2, 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, 
2025-08-14T21:37:24.7268362Z 
2025-08-14T21:37:25.0388265Z + cd test
2025-08-14T21:37:25.0388697Z + python -c 'import torch; print(torch.__config__.parallel_info())'
2025-08-14T21:37:26.1722566Z ATen/Parallel:
2025-08-14T21:37:26.1723010Z 	at::get_num_threads() : 8
2025-08-14T21:37:26.1723321Z 	at::get_num_interop_threads() : 8
2025-08-14T21:37:26.1723606Z OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-08-14T21:37:26.1723877Z 	omp_get_max_threads() : 8
2025-08-14T21:37:26.1724391Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-08-14T21:37:26.1724928Z 	mkl_get_max_threads() : 8
2025-08-14T21:37:26.1725294Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-08-14T21:37:26.1725700Z std::thread::hardware_concurrency() : 16
2025-08-14T21:37:26.1725981Z Environment variables:
2025-08-14T21:37:26.1726238Z 	OMP_NUM_THREADS : [not set]
2025-08-14T21:37:26.1726490Z 	MKL_NUM_THREADS : [not set]
2025-08-14T21:37:26.1726739Z ATen parallel backend: OpenMP
2025-08-14T21:37:26.1726910Z 
2025-08-14T21:37:26.4046171Z + [[ default == *numpy_2* ]]
2025-08-14T21:37:26.4046542Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *aarch64* ]]
2025-08-14T21:37:26.4046849Z + [[ default == *backward* ]]
2025-08-14T21:37:26.4047071Z + [[ default == *xla* ]]
2025-08-14T21:37:26.4047275Z + [[ default == *executorch* ]]
2025-08-14T21:37:26.4047486Z + [[ default == \j\i\t\_\l\e\g\a\c\y ]]
2025-08-14T21:37:26.4047757Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *libtorch* ]]
2025-08-14T21:37:26.4048030Z + [[ default == distributed ]]
2025-08-14T21:37:26.4048250Z + [[ default == *operator_benchmark* ]]
2025-08-14T21:37:26.4048487Z + [[ default == *inductor_distributed* ]]
2025-08-14T21:37:26.4048729Z + [[ default == *inductor-halide* ]]
2025-08-14T21:37:26.4048962Z + [[ default == *inductor-triton-cpu* ]]
2025-08-14T21:37:26.4049224Z + [[ default == *inductor-micro-benchmark* ]]
2025-08-14T21:37:26.4049465Z + [[ default == *huggingface* ]]
2025-08-14T21:37:26.4049665Z + [[ default == *timm* ]]
2025-08-14T21:37:26.4049873Z + [[ default == cachebench ]]
2025-08-14T21:37:26.4050084Z + [[ default == verify_cachebench ]]
2025-08-14T21:37:26.4050313Z + [[ default == *torchbench* ]]
2025-08-14T21:37:26.4050536Z + [[ default == *inductor_cpp_wrapper* ]]
2025-08-14T21:37:26.4050769Z + [[ default == *inductor* ]]
2025-08-14T21:37:26.4050974Z + [[ default == *einops* ]]
2025-08-14T21:37:26.4051173Z + [[ default == *dynamo_wrapped* ]]
2025-08-14T21:37:26.4051421Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *rocm* ]]
2025-08-14T21:37:26.4051662Z + [[ 1 == 1 ]]
2025-08-14T21:37:26.4051822Z + [[ 5 -gt 1 ]]
2025-08-14T21:37:26.4052007Z + test_lazy_tensor_meta_reference_disabled
2025-08-14T21:37:26.4052313Z + export TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1
2025-08-14T21:37:26.4052627Z + TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1
2025-08-14T21:37:26.4052937Z + echo 'Testing lazy tensor operations without meta reference'
2025-08-14T21:37:26.4053256Z Testing lazy tensor operations without meta reference
2025-08-14T21:37:26.4053607Z + python test/run_test.py --include lazy/test_ts_opinfo.py --verbose
2025-08-14T21:37:28.9967033Z /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.
2025-08-14T21:37:28.9968700Z   import pkg_resources
2025-08-14T21:37:30.7059872Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-08-14T21:37:30.7561599Z Ignoring disabled issues:  ['']
2025-08-14T21:37:30.7662176Z Found test times from artifacts
2025-08-14T21:37:30.8068813Z Found test times from artifacts
2025-08-14T21:37:30.8081148Z Running all tests
2025-08-14T21:37:30.8084113Z Running parallel tests on 3 processes
2025-08-14T21:37:30.8084471Z Name: tests to run (est. time: 0.01min)
2025-08-14T21:37:30.8085039Z   Serial tests (0):
2025-08-14T21:37:30.8085422Z   Parallel tests (1):
2025-08-14T21:37:30.8085694Z     lazy/test_ts_opinfo 1/1
2025-08-14T21:37:30.8085952Z Name: excluded (est. time: 0.0min)
2025-08-14T21:37:30.8086357Z   Serial tests (0):
2025-08-14T21:37:30.8086572Z   Parallel tests (0):
2025-08-14T21:37:30.8086881Z Running lazy/test_ts_opinfo 1/1 ... [2025-08-14 21:37:30.808425]
2025-08-14T21:37:30.8087391Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T21:37:30.8089850Z 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'] ... [2025-08-14 21:37:30.808747]
2025-08-14T21:37:35.2304381Z 
2025-08-14T21:37:35.2305288Z 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_59af2d49b5b1e4b5_.log
2025-08-14T21:37:35.2306067Z Running 0 items in this shard:
2025-08-14T21:37:35.2306247Z 
2025-08-14T21:37:35.5072005Z Uploading artifacts took 0.28 seconds
2025-08-14T21:37:38.3738158Z /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.
2025-08-14T21:37:38.3739381Z   import pkg_resources
2025-08-14T21:37:38.3919421Z /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.
2025-08-14T21:37:38.3920726Z   import pkg_resources
2025-08-14T21:37:38.3922042Z /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.
2025-08-14T21:37:38.3923070Z   import pkg_resources
2025-08-14T21:37:38.7198833Z Running lazy/test_ts_opinfo 1/1 ... [2025-08-14 21:37:38.719479]
2025-08-14T21:37:38.7199294Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T21:37:38.7201230Z 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'] ... [2025-08-14 21:37:38.719841]
2025-08-14T21:37:43.5425021Z 
2025-08-14T21:37:43.5425978Z 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_abc2a51317f32f6d_.log
2025-08-14T21:37:43.5428366Z 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
2025-08-14T21:37:43.5430385Z 
2025-08-14T21:37:44.5822610Z Running test batch 'tests to run' cost 13.77 seconds
2025-08-14T21:37:45.3217530Z 
2025-08-14T21:37:45.3217989Z real	0m18.917s
2025-08-14T21:37:45.3218284Z user	0m23.911s
2025-08-14T21:37:45.3218499Z sys	0m12.052s
2025-08-14T21:37:45.3218814Z + export -n TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE
2025-08-14T21:37:45.3219168Z + test_without_numpy
2025-08-14T21:37:45.3222650Z ++ dirname .ci/pytorch/test.sh
2025-08-14T21:37:45.3235229Z + pushd .ci/pytorch
2025-08-14T21:37:45.3235564Z ~/workspace/.ci/pytorch ~/workspace
2025-08-14T21:37:45.3236976Z + 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())'
2025-08-14T21:37:46.0178480Z /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:82.)
2025-08-14T21:37:46.0179774Z   cpu = _conversion_method_template(device=torch.device("cpu"))
2025-08-14T21:37:46.6131649Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch;print(torch.tensor([torch.tensor(0.), torch.tensor(1.)]))'
2025-08-14T21:37:47.2955129Z /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:82.)
2025-08-14T21:37:47.2956566Z   cpu = _conversion_method_template(device=torch.device("cpu"))
2025-08-14T21:37:47.6731805Z tensor([0., 1.])
2025-08-14T21:37:47.8920666Z + [[ default == *dynamo_wrapped* ]]
2025-08-14T21:37:47.8921218Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch; import torch.onnx'
2025-08-14T21:37:48.5677768Z /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:82.)
2025-08-14T21:37:48.5679103Z   cpu = _conversion_method_template(device=torch.device("cpu"))
2025-08-14T21:37:49.1918815Z + popd
2025-08-14T21:37:49.1919298Z ~/workspace
2025-08-14T21:37:49.1919706Z + install_torchvision
2025-08-14T21:37:49.1920214Z + local orig_preload
2025-08-14T21:37:49.1920636Z + local commit
2025-08-14T21:37:49.1925906Z ++ get_pinned_commit vision
2025-08-14T21:37:49.1926535Z ++ cat .github/ci_commit_pins/vision.txt
2025-08-14T21:37:49.1939629Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-08-14T21:37:49.1940031Z + orig_preload=
2025-08-14T21:37:49.1940297Z + '[' -n '' ']'
2025-08-14T21:37:49.1940516Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *cuda* ]]
2025-08-14T21:37:49.1940797Z + export FORCE_CUDA=1
2025-08-14T21:37:49.1941081Z + FORCE_CUDA=1
2025-08-14T21:37:49.1941267Z + export WITH_CUDA=1
2025-08-14T21:37:49.1941449Z + WITH_CUDA=1
2025-08-14T21:37:49.1941992Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision
2025-08-14T21:37:49.1942722Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-08-14T21:37:49.1943187Z + local wheel_dir=dist/vision
2025-08-14T21:37:49.1943393Z + local found_whl=0
2025-08-14T21:37:49.1943680Z + for file in "${wheel_dir}"/*.whl
2025-08-14T21:37:49.1943934Z + [[ -f dist/vision/*.whl ]]
2025-08-14T21:37:49.1944125Z + '[' 0 == 0 ']'
2025-08-14T21:37:49.1944787Z + python3 -m pip wheel --no-build-isolation --no-deps --no-use-pep517 -w dist/vision git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-08-14T21:37:49.4789541Z Collecting git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-08-14T21:37:49.4798079Z   Cloning https://github.com/pytorch/vision.git (to revision 966da7e46f65d6d49df3e31214470a4fe5cc8e66) to /tmp/pip-req-build-e93c4x2i
2025-08-14T21:37:49.4820308Z   Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-e93c4x2i
2025-08-14T21:37:50.8263099Z   Running command git rev-parse -q --verify 'sha^966da7e46f65d6d49df3e31214470a4fe5cc8e66'
2025-08-14T21:37:50.8285782Z   Running command git fetch -q https://github.com/pytorch/vision.git 966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-08-14T21:37:50.9383294Z   Running command git checkout -q 966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-08-14T21:37:51.2314375Z   Resolved https://github.com/pytorch/vision.git to commit 966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-08-14T21:37:53.4023026Z   Preparing metadata (setup.py) ... [?25l- \ done
2025-08-14T21:37:53.4060778Z [?25hBuilding wheels for collected packages: torchvision
2025-08-14T21:37:53.4120252Z   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
2025-08-14T21:39:12.5573367Z   Building wheel for torchvision (setup.py) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ done
2025-08-14T21:39:12.5605479Z [?25h  Created wheel for torchvision: filename=torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl size=2178433 sha256=afeff8bb840b860a790d49bad5d0c9b9eddfb3c99b5c713165b489df93e3954d
2025-08-14T21:39:12.5606663Z   Stored in directory: /var/lib/jenkins/.cache/pip/wheels/9c/9d/3e/42fa2d5ac6ba44a90363f8fff0fa9e712e24d4f977637c81cb
2025-08-14T21:39:12.5640972Z Successfully built torchvision
2025-08-14T21:39:12.6588635Z + for file in "${wheel_dir}"/*.whl
2025-08-14T21:39:12.6589186Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl
2025-08-14T21:39:12.6589823Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl')
2025-08-14T21:39:12.6590257Z + local args
2025-08-14T21:39:12.6590622Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl == *\ * ]]
2025-08-14T21:39:12.6591078Z + for path in "${args[@]}"
2025-08-14T21:39:12.6591544Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl'
2025-08-14T21:39:12.6592179Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl
2025-08-14T21:39:12.6592893Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl
2025-08-14T21:39:12.9495872Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl
2025-08-14T21:39:12.9582016Z Installing collected packages: torchvision
2025-08-14T21:39:13.3653636Z Successfully installed torchvision-0.22.0a0+966da7e
2025-08-14T21:39:13.3947614Z + '[' -n '' ']'
2025-08-14T21:39:13.3948104Z + test_python_shard 1
2025-08-14T21:39:13.3948551Z + [[ -z 5 ]]
2025-08-14T21:39:13.3949686Z + python test/run_test.py --exclude-jit-executor --exclude-distributed-tests --shard 1 5 --verbose --upload-artifacts-while-running
2025-08-14T21:39:15.9612233Z /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.
2025-08-14T21:39:15.9614050Z   import pkg_resources
2025-08-14T21:39:17.6664429Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-08-14T21:39:17.6761681Z Found test times from artifacts
2025-08-14T21:39:17.7171925Z Found test times from artifacts
2025-08-14T21:39:17.7183860Z Running all tests
2025-08-14T21:39:17.7596707Z Running parallel tests on 3 processes
2025-08-14T21:39:17.7601649Z Name: tests to run (est. time: 91.86min)
2025-08-14T21:39:17.7602221Z   Serial tests (53):
2025-08-14T21:39:17.7602529Z     test_ci_sanity_check_fail 1/1
2025-08-14T21:39:17.7602800Z     doctests 1/1
2025-08-14T21:39:17.7603043Z     inductor/test_max_autotune 1/1
2025-08-14T21:39:17.7603699Z     inductor/test_flex_attention 1/6
2025-08-14T21:39:17.7603986Z     inductor/test_flex_attention 2/6
2025-08-14T21:39:17.7604296Z     inductor/test_flex_attention 3/6
2025-08-14T21:39:17.7604569Z     inductor/test_flex_attention 4/6
2025-08-14T21:39:17.7604826Z     inductor/test_flex_attention 5/6
2025-08-14T21:39:17.7605105Z     inductor/test_flex_attention 6/6
2025-08-14T21:39:17.7605393Z     inductor/test_benchmark_fusion 1/1
2025-08-14T21:39:17.7605680Z     inductor/test_cutlass_backend 1/1
2025-08-14T21:39:17.7605973Z     dynamo/test_fake_distributed 1/1
2025-08-14T21:39:17.7606270Z     inductor/test_distributed_patterns 1/1
2025-08-14T21:39:17.7606562Z     test_cpp_api_parity 1/1
2025-08-14T21:39:17.7606831Z     test_transformers_privateuse1 1/1
2025-08-14T21:39:17.7607137Z     test_extension_utils 1/1
2025-08-14T21:39:17.7607345Z     test_fx 1/1
2025-08-14T21:39:17.7607506Z     test_fake_tensor 1/1
2025-08-14T21:39:17.7607690Z     test_openreg 1/1
2025-08-14T21:39:17.7607870Z     test_show_pickle 1/1
2025-08-14T21:39:17.7608073Z     test_tensorexpr 1/1
2025-08-14T21:39:17.7608253Z     test_torch 1/1
2025-08-14T21:39:17.7608425Z     test_utils 1/1
2025-08-14T21:39:17.7608596Z     test_python_dispatch 1/1
2025-08-14T21:39:17.7608786Z     test_dispatch 1/1
2025-08-14T21:39:17.7608992Z     test_namedtuple_return_api 1/1
2025-08-14T21:39:17.7609215Z     test_multiprocessing 1/1
2025-08-14T21:39:17.7609427Z     test_autograd_fallback 1/1
2025-08-14T21:39:17.7609646Z     test_cpp_extensions_mtia_backend 1/1
2025-08-14T21:39:17.7609877Z     test_jit_disabled 1/1
2025-08-14T21:39:17.7610097Z     functorch/test_memory_efficient_fusion 1/1
2025-08-14T21:39:17.7610340Z     test_tensor_creation_ops 1/1
2025-08-14T21:39:17.7610542Z     test_autocast 1/1
2025-08-14T21:39:17.7610737Z     test_cpp_extensions_stream_and_event 1/1
2025-08-14T21:39:17.7611014Z     test_cuda_trace 1/1
2025-08-14T21:39:17.7611331Z     test_reductions 1/1
2025-08-14T21:39:17.7611652Z     test_native_mha 1/1
2025-08-14T21:39:17.7612098Z     test_sort_and_select 1/1
2025-08-14T21:39:17.7612318Z     test_cuda_nvml_based_avail 1/1
2025-08-14T21:39:17.7612542Z     test_nn 1/1
2025-08-14T21:39:17.7612717Z     test_cpp_extensions_jit 1/1
2025-08-14T21:39:17.7612923Z     test_overrides 1/1
2025-08-14T21:39:17.7613111Z     nn/test_pooling 1/1
2025-08-14T21:39:17.7613299Z     test_cuda_primary_ctx 1/1
2025-08-14T21:39:17.7613505Z     test_mobile_optimizer 1/1
2025-08-14T21:39:17.7613721Z     test_multiprocessing_spawn 1/1
2025-08-14T21:39:17.7613946Z     nn/test_convolution 1/1
2025-08-14T21:39:17.7614148Z     test_spectral_ops 1/1
2025-08-14T21:39:17.7614438Z     distributions/test_distributions 1/1
2025-08-14T21:39:17.7614749Z     test_autoload_enable 1/1
2025-08-14T21:39:17.7614972Z     test_cpp_extensions_aot_no_ninja 1/1
2025-08-14T21:39:17.7615204Z     test_autoload_disable 1/1
2025-08-14T21:39:17.7615407Z     test_cpp_extensions_aot_ninja 1/1
2025-08-14T21:39:17.7615632Z   Parallel tests (28):
2025-08-14T21:39:17.7615843Z     inductor/test_smoke 1/1
2025-08-14T21:39:17.7616055Z     inductor/test_cpu_select_algorithm 1/1
2025-08-14T21:39:17.7616494Z     inductor/test_autoheuristic 1/1
2025-08-14T21:39:17.7616725Z     xpu/test_fusion 1/1
2025-08-14T21:39:17.7616910Z     test_decomp 9/14
2025-08-14T21:39:17.7617082Z     test_ops 4/8
2025-08-14T21:39:17.7617258Z     test_ops 5/8
2025-08-14T21:39:17.7617419Z     test_ops 6/8
2025-08-14T21:39:17.7617592Z     optim/test_optim 1/1
2025-08-14T21:39:17.7617792Z     nn/test_load_state_dict 1/1
2025-08-14T21:39:17.7617995Z     test_shape_ops 1/1
2025-08-14T21:39:17.7618201Z     torch_np/numpy_tests/core/test_dtype 1/1
2025-08-14T21:39:17.7618458Z     torch_np/numpy_tests/core/test_shape_base 1/1
2025-08-14T21:39:17.7618703Z     test_type_info 1/1
2025-08-14T21:39:17.7618886Z     test_jit_llga_fuser 1/1
2025-08-14T21:39:17.7619074Z     test_indexing 1/1
2025-08-14T21:39:17.7619260Z     torch_np/test_function_base 1/1
2025-08-14T21:39:17.7619497Z     torch_np/numpy_tests/lib/test_twodim_base 1/1
2025-08-14T21:39:17.7619879Z     torch_np/test_scalars_0D_arrays 1/1
2025-08-14T21:39:17.7620110Z     nn/test_module_hooks 1/1
2025-08-14T21:39:17.7620312Z     test_numa_binding 1/1
2025-08-14T21:39:17.7620521Z     torch_np/numpy_tests/core/test_getlimits 1/1
2025-08-14T21:39:17.7620769Z     torch_np/test_ndarray_methods 1/1
2025-08-14T21:39:17.7620996Z     lazy/test_debug_util 1/1
2025-08-14T21:39:17.7621206Z     torch_np/numpy_tests/lib/test_shape_base_ 1/1
2025-08-14T21:39:17.7621461Z     torch_np/numpy_tests/linalg/test_linalg 1/1
2025-08-14T21:39:17.7621695Z     test_sparse_csr 1/2
2025-08-14T21:39:17.7621875Z     test_sparse_csr 2/2
2025-08-14T21:39:17.7622075Z Name: excluded (est. time: 0.0min)
2025-08-14T21:39:17.7622283Z   Serial tests (0):
2025-08-14T21:39:17.7622454Z   Parallel tests (0):
2025-08-14T21:39:17.7622712Z Running test_ci_sanity_check_fail 1/1 ... [2025-08-14 21:39:17.760939]
2025-08-14T21:39:17.7623014Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T21:39:17.7623759Z 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'] ... [2025-08-14 21:39:17.761283]
2025-08-14T21:39:32.4207560Z Uploading artifacts took 0.29 seconds
2025-08-14T21:39:32.4208943Z Running doctests 1/1 ... [2025-08-14 21:39:32.420695]
2025-08-14T21:39:32.4530564Z Start doctest_module('/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch')
2025-08-14T21:39:32.4531036Z Listing tests
2025-08-14T21:39:32.8722809Z msg = Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=375.
2025-08-14T21:39:32.8723625Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T21:39:32.8724169Z Registers the function implementation as the fallback for the given key.
2025-08-14T21:39:32.8724478Z 
2025-08-14T21:39:32.8724700Z         This function only works for a library with global namespace ("_").
2025-08-14T21:39:32.8724995Z 
2025-08-14T21:39:32.8725092Z         Args:
2025-08-14T21:39:32.8725460Z             fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel`
2025-08-14T21:39:32.8725905Z                 to register a fallthrough.
2025-08-14T21:39:32.8726409Z             dispatch_key: dispatch key that the input function should be registered for. By default, it uses
2025-08-14T21:39:32.8726938Z                           the dispatch key that the library was created with.
2025-08-14T21:39:32.8727505Z             with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument
2025-08-14T21:39:32.8728220Z                          to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls.
2025-08-14T21:39:32.8728613Z 
2025-08-14T21:39:32.8728725Z         Example::
2025-08-14T21:39:32.8728869Z 
2025-08-14T21:39:32.8728982Z             >>> my_lib = Library("_", "IMPL")
2025-08-14T21:39:32.8729306Z             >>> def fallback_kernel(op, *args, **kwargs):
2025-08-14T21:39:32.8729889Z             >>>     # Handle all autocast ops generically
2025-08-14T21:39:32.8730187Z             >>>     # ...
2025-08-14T21:39:32.8730458Z             >>> my_lib.fallback(fallback_kernel, "Autocast")
2025-08-14T21:39:32.8730752Z         
2025-08-14T21:39:32.8731397Z 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))
2025-08-14T21:39:32.8732025Z 
2025-08-14T21:39:32.8732140Z my_lib.fallback(fallback_kernel, "Autocast")
2025-08-14T21:39:32.8732422Z ^
2025-08-14T21:39:32.8841644Z msg = Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=948.
2025-08-14T21:39:32.8842508Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T21:39:32.8843258Z Register a FakeTensor implementation ("fake impl") for this operator.
2025-08-14T21:39:32.8843580Z 
2025-08-14T21:39:32.8843751Z     Also sometimes known as a "meta kernel", "abstract impl".
2025-08-14T21:39:32.8844007Z 
2025-08-14T21:39:32.8844224Z     An "FakeTensor implementation" specifies the behavior of this operator on
2025-08-14T21:39:32.8844727Z     Tensors that carry no data ("FakeTensor"). Given some input Tensors with
2025-08-14T21:39:32.8845230Z     certain properties (sizes/strides/storage_offset/device), it specifies
2025-08-14T21:39:32.8845661Z     what the properties of the output Tensors are.
2025-08-14T21:39:32.8845878Z 
2025-08-14T21:39:32.8846082Z     The FakeTensor implementation has the same signature as the operator.
2025-08-14T21:39:32.8846556Z     It is run for both FakeTensors and meta tensors. To write a FakeTensor
2025-08-14T21:39:32.8847021Z     implementation, assume that all Tensor inputs to the operator are
2025-08-14T21:39:32.8847496Z     regular CPU/CUDA/Meta tensors, but they do not have storage, and
2025-08-14T21:39:32.8847949Z     you are trying to return regular CPU/CUDA/Meta tensor(s) as output.
2025-08-14T21:39:32.8848454Z     The FakeTensor implementation must consist of only PyTorch operations
2025-08-14T21:39:32.8848917Z     (and may not directly access the storage or data of any input or
2025-08-14T21:39:32.8849262Z     intermediate Tensors).
2025-08-14T21:39:32.8849431Z 
2025-08-14T21:39:32.8849568Z     This API may be used as a decorator (see examples).
2025-08-14T21:39:32.8849808Z 
2025-08-14T21:39:32.8849933Z     For a detailed guide on custom ops, please see
2025-08-14T21:39:32.8850370Z     https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html
2025-08-14T21:39:32.8850671Z 
2025-08-14T21:39:32.8850755Z     Args:
2025-08-14T21:39:32.8851069Z         op_name: Operator name (along with the overload) or OpOverload object.
2025-08-14T21:39:32.8851462Z         func: Fake tensor implementation.
2025-08-14T21:39:32.8851821Z         lib (Optional[Library]): Library to register the fake tensor to.
2025-08-14T21:39:32.8852254Z         allow_override: Flag controlling if we want to override an
2025-08-14T21:39:32.8852652Z                         existing registered fake impl. This is by default off,
2025-08-14T21:39:32.8852975Z                         and will error you're trying to register a fake impl to
2025-08-14T21:39:32.8853299Z                         an operator that already has a fake impl. This also only
2025-08-14T21:39:32.8853613Z                         applies if the custom operator was not created via
2025-08-14T21:39:32.8853935Z                         torch.library.custom_op, as overriding and existing fake
2025-08-14T21:39:32.8854234Z                         impl is already allowed.
2025-08-14T21:39:32.8854393Z 
2025-08-14T21:39:32.8854462Z     Examples:
2025-08-14T21:39:32.8854632Z         >>> import torch
2025-08-14T21:39:32.8854826Z         >>> import numpy as np
2025-08-14T21:39:32.8855028Z         >>> from torch import Tensor
2025-08-14T21:39:32.8855232Z         >>>
2025-08-14T21:39:32.8855453Z         >>> # Example 1: an operator without data-dependent output shape
2025-08-14T21:39:32.8855957Z         >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=())
2025-08-14T21:39:32.8856340Z         >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-08-14T21:39:32.8856708Z         >>>     raise NotImplementedError("Implementation goes here")
2025-08-14T21:39:32.8856982Z         >>>
2025-08-14T21:39:32.8857193Z         >>> @torch.library.register_fake("mylib::custom_linear")
2025-08-14T21:39:32.8857464Z         >>> def _(x, weight, bias):
2025-08-14T21:39:32.8857672Z         >>>     assert x.dim() == 2
2025-08-14T21:39:32.8857892Z         >>>     assert weight.dim() == 2
2025-08-14T21:39:32.8858118Z         >>>     assert bias.dim() == 1
2025-08-14T21:39:32.8858358Z         >>>     assert x.shape[1] == weight.shape[1]
2025-08-14T21:39:32.8858611Z         >>>     assert weight.shape[0] == bias.shape[0]
2025-08-14T21:39:32.8858998Z         >>>     assert x.device == weight.device
2025-08-14T21:39:32.8859223Z         >>>
2025-08-14T21:39:32.8859390Z         >>>     return (x @ weight.t()) + bias
2025-08-14T21:39:32.8859602Z         >>>
2025-08-14T21:39:32.8859809Z         >>> with torch._subclasses.fake_tensor.FakeTensorMode():
2025-08-14T21:39:32.8860079Z         >>>     x = torch.randn(2, 3)
2025-08-14T21:39:32.8860299Z         >>>     w = torch.randn(3, 3)
2025-08-14T21:39:32.8860507Z         >>>     b = torch.randn(3)
2025-08-14T21:39:32.8860741Z         >>>     y = torch.ops.mylib.custom_linear(x, w, b)
2025-08-14T21:39:32.8860969Z         >>>
2025-08-14T21:39:32.8861138Z         >>> assert y.shape == (2, 3)
2025-08-14T21:39:32.8861341Z         >>>
2025-08-14T21:39:32.8861536Z         >>> # Example 2: an operator with data-dependent output shape
2025-08-14T21:39:32.8861896Z         >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=())
2025-08-14T21:39:32.8862247Z         >>> def custom_nonzero(x: Tensor) -> Tensor:
2025-08-14T21:39:32.8862493Z         >>>     x_np = x.numpy(force=True)
2025-08-14T21:39:32.8862746Z         >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-08-14T21:39:32.8863017Z         >>>     return torch.tensor(res, device=x.device)
2025-08-14T21:39:32.8863255Z         >>>
2025-08-14T21:39:32.8863468Z         >>> @torch.library.register_fake("mylib::custom_nonzero")
2025-08-14T21:39:32.8863734Z         >>> def _(x):
2025-08-14T21:39:32.8863950Z         >>> # Number of nonzero-elements is data-dependent.
2025-08-14T21:39:32.8864245Z         >>> # Since we cannot peek at the data in an fake impl,
2025-08-14T21:39:32.8864545Z         >>> # we use the ctx object to construct a new symint that
2025-08-14T21:39:32.8864822Z         >>> # represents the data-dependent size.
2025-08-14T21:39:32.8865069Z         >>>     ctx = torch.library.get_ctx()
2025-08-14T21:39:32.8865316Z         >>>     nnz = ctx.new_dynamic_size()
2025-08-14T21:39:32.8865551Z         >>>     shape = [nnz, x.dim()]
2025-08-14T21:39:32.8865802Z         >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-08-14T21:39:32.8866058Z         >>>     return result
2025-08-14T21:39:32.8866247Z         >>>
2025-08-14T21:39:32.8866460Z         >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-08-14T21:39:32.8866723Z         >>>
2025-08-14T21:39:32.8866891Z         >>> x = torch.tensor([0, 1, 2, 3, 4, 0])
2025-08-14T21:39:32.8867220Z         >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x)
2025-08-14T21:39:32.8867551Z         >>> trace.print_readable()
2025-08-14T21:39:32.8867766Z         >>>
2025-08-14T21:39:32.8868018Z         >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x))
2025-08-14T21:39:32.8868257Z 
2025-08-14T21:39:32.8868327Z     
2025-08-14T21:39:32.8868771Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('<source_block>', 38, 1, '_._ = None\n', 38, 2))
2025-08-14T21:39:32.8869213Z 
2025-08-14T21:39:32.8869280Z _._ = None
2025-08-14T21:39:32.8869426Z ^
2025-08-14T21:39:32.8959881Z msg = Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=1482.
2025-08-14T21:39:32.8960825Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T21:39:32.8961329Z Returns the computed kernel for a given operator and dispatch key.
2025-08-14T21:39:32.8961613Z 
2025-08-14T21:39:32.8961949Z     This function retrieves the kernel that would be executed for a given
2025-08-14T21:39:32.8962455Z     operator and dispatch key combination. The returned SafeKernelFunction
2025-08-14T21:39:32.8962930Z     can be used to call the kernel in a boxed fashion. The intended use
2025-08-14T21:39:32.8963413Z     case for this function is to retrieve the original kernel for a given
2025-08-14T21:39:32.8963892Z     dispatch key and then register another kernel to the same dispatch key
2025-08-14T21:39:32.8964463Z     that calls into the original kernel for certain cases.
2025-08-14T21:39:32.8964715Z 
2025-08-14T21:39:32.8964804Z     Args:
2025-08-14T21:39:32.8965092Z         op: Operator name (along with the overload) or OpOverload object
2025-08-14T21:39:32.8965579Z             Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef.
2025-08-14T21:39:32.8966096Z         dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for.
2025-08-14T21:39:32.8966584Z             Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value.
2025-08-14T21:39:32.8966845Z 
2025-08-14T21:39:32.8966937Z     Returns:
2025-08-14T21:39:32.8967256Z         torch._C._SafeKernelFunction: A safe kernel function that can be used to
2025-08-14T21:39:32.8967645Z             call the kernel.
2025-08-14T21:39:32.8967805Z 
2025-08-14T21:39:32.8967878Z     Raises:
2025-08-14T21:39:32.8968126Z         RuntimeError: If the operator does not exist.
2025-08-14T21:39:32.8968347Z 
2025-08-14T21:39:32.8968427Z     Example:
2025-08-14T21:39:32.8968654Z         >>> # Get the CPU kernel for torch.add
2025-08-14T21:39:32.8969031Z         >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU")
2025-08-14T21:39:32.8969375Z         >>>
2025-08-14T21:39:32.8969596Z         >>> # You can also use DispatchKey enum
2025-08-14T21:39:32.8970021Z         >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU)
2025-08-14T21:39:32.8970419Z         >>>
2025-08-14T21:39:32.8970617Z         >>> # Or use an OpOverload directly
2025-08-14T21:39:32.8971022Z         >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU")
2025-08-14T21:39:32.8971397Z         >>>
2025-08-14T21:39:32.8971681Z         >>> # Example: Using get_kernel in a custom op with conditional dispatch
2025-08-14T21:39:32.8972073Z         >>> # Get the original kernel for torch.sin
2025-08-14T21:39:32.8972459Z         >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU")
2025-08-14T21:39:32.8972792Z         >>>
2025-08-14T21:39:32.8973035Z         >>> # If input has negative values, use original sin, otherwise return zeros
2025-08-14T21:39:32.8980917Z         >>> def conditional_sin_impl(dispatch_keys, x):
2025-08-14T21:39:32.8981243Z         >>>     if (x < 0).any():
2025-08-14T21:39:32.8981531Z         >>>         return original_sin_kernel.call_boxed(dispatch_keys, x)
2025-08-14T21:39:32.8981823Z         >>>     else:
2025-08-14T21:39:32.8982035Z         >>>         return torch.zeros_like(x)
2025-08-14T21:39:32.8982273Z         >>>
2025-08-14T21:39:32.8982465Z         >>> lib = torch.library.Library("aten", "IMPL")
2025-08-14T21:39:32.8982846Z         >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet
2025-08-14T21:39:32.8983253Z         >>> which needs to be the first argument to ``kernel.call_boxed``
2025-08-14T21:39:32.8983606Z         >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True)
2025-08-14T21:39:32.8983892Z         >>>
2025-08-14T21:39:32.8984072Z         >>> # Test the conditional behavior
2025-08-14T21:39:32.8984322Z         >>> x_positive = torch.tensor([1.0, 2.0])
2025-08-14T21:39:32.8984694Z         >>> x_mixed = torch.tensor([-1.0, 2.0])
2025-08-14T21:39:32.8984933Z         >>> torch.sin(x_positive)
2025-08-14T21:39:32.8985146Z         tensor([0., 0.])
2025-08-14T21:39:32.8985330Z         >>> torch.sin(x_mixed)
2025-08-14T21:39:32.8985531Z         tensor([-0.8415, 0.9093])
2025-08-14T21:39:32.8985722Z     
2025-08-14T21:39:32.8986141Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12))
2025-08-14T21:39:32.8986552Z 
2025-08-14T21:39:32.8986681Z which needs to be the first argument to ``kernel.call_boxed``
2025-08-14T21:39:32.8986949Z       ^
2025-08-14T21:39:33.1616945Z 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.
2025-08-14T21:39:33.1618149Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T21:39:33.1618723Z Check if the current accelerator is available at runtime: it was build, all the
2025-08-14T21:39:33.1619258Z     required drivers are available and at least one device is visible.
2025-08-14T21:39:33.1619684Z     See :ref:`accelerator<accelerators>` for details.
2025-08-14T21:39:33.1619909Z 
2025-08-14T21:39:33.1619988Z     Returns:
2025-08-14T21:39:33.1620352Z         bool: A boolean indicating if there is an available :ref:`accelerator<accelerators>`.
2025-08-14T21:39:33.1620690Z 
2025-08-14T21:39:33.1620957Z     .. note:: This API delegates to the device-specific version of `is_available`.
2025-08-14T21:39:33.1621494Z         On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set,
2025-08-14T21:39:33.1622030Z         this function will NOT poison fork. Otherwise, it will. For more details, see
2025-08-14T21:39:33.1622481Z         :ref:`multiprocessing-poison-fork-note`.
2025-08-14T21:39:33.1622713Z 
2025-08-14T21:39:33.1622803Z     Example::
2025-08-14T21:39:33.1622899Z 
2025-08-14T21:39:33.1623091Z         >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-08-14T21:39:33.1623421Z     
2025-08-14T21:39:33.1623889Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78))
2025-08-14T21:39:33.1624343Z 
2025-08-14T21:39:33.1624532Z assert torch.accelerator.is_available() "No available accelerators detected."
2025-08-14T21:39:33.1624856Z                                         ^
2025-08-14T21:39:33.1638546Z msg = Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py line=212.
2025-08-14T21:39:33.1639363Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T21:39:33.1639865Z Wait for all kernels in all streams on the given device to complete.
2025-08-14T21:39:33.1640146Z 
2025-08-14T21:39:33.1640233Z     Args:
2025-08-14T21:39:33.1640629Z         device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match
2025-08-14T21:39:33.1641223Z             the current :ref:`accelerator<accelerators>` device type. If not given,
2025-08-14T21:39:33.1641696Z             use :func:`torch.accelerator.current_device_index` by default.
2025-08-14T21:39:33.1642065Z 
2025-08-14T21:39:33.1642355Z     .. note:: This function is a no-op if the current :ref:`accelerator<accelerators>` is not initialized.
2025-08-14T21:39:33.1642721Z 
2025-08-14T21:39:33.1642804Z     Example::
2025-08-14T21:39:33.1642932Z 
2025-08-14T21:39:33.1643065Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-08-14T21:39:33.1643435Z         >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-08-14T21:39:33.1643793Z         >>> start_event = torch.Event(enable_timing=True)
2025-08-14T21:39:33.1644065Z         >>> end_event = torch.Event(enable_timing=True)
2025-08-14T21:39:33.1644319Z         >>> start_event.record()
2025-08-14T21:39:33.1644822Z         >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator())
2025-08-14T21:39:33.1645152Z         >>> sum = torch.sum(tensor)
2025-08-14T21:39:33.1645372Z         >>> end_event.record()
2025-08-14T21:39:33.1645591Z         >>> torch.accelerator.synchronize()
2025-08-14T21:39:33.1645874Z         >>> elapsed_time_ms = start_event.elapsed_time(end_event)
2025-08-14T21:39:33.1646134Z     
2025-08-14T21:39:33.1646599Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78))
2025-08-14T21:39:33.1647054Z 
2025-08-14T21:39:33.1647230Z assert torch.accelerator.is_available() "No available accelerators detected."
2025-08-14T21:39:33.1647554Z                                         ^
2025-08-14T21:39:33.1875750Z msg = Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py line=434.
2025-08-14T21:39:33.1876561Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T21:39:33.1877001Z Retrieves the CUDA runtime API module.
2025-08-14T21:39:33.1877204Z 
2025-08-14T21:39:33.1877209Z 
2025-08-14T21:39:33.1877431Z     This function initializes the CUDA runtime environment if it is not already
2025-08-14T21:39:33.1877958Z     initialized and returns the CUDA runtime API module (_cudart). The CUDA
2025-08-14T21:39:33.1878450Z     runtime API module provides access to various CUDA runtime functions.
2025-08-14T21:39:33.1878741Z 
2025-08-14T21:39:33.1878817Z     Args:
2025-08-14T21:39:33.1879006Z         ``None``
2025-08-14T21:39:33.1879125Z 
2025-08-14T21:39:33.1879209Z     Returns:
2025-08-14T21:39:33.1879452Z         module: The CUDA runtime API module (_cudart).
2025-08-14T21:39:33.1879677Z 
2025-08-14T21:39:33.1879751Z     Raises:
2025-08-14T21:39:33.1880068Z         RuntimeError: If CUDA cannot be re-initialized in a forked subprocess.
2025-08-14T21:39:33.1880688Z         AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable.
2025-08-14T21:39:33.1881096Z 
2025-08-14T21:39:33.1881220Z     Example of CUDA operations with profiling:
2025-08-14T21:39:33.1881528Z         >>> import torch
2025-08-14T21:39:33.1881795Z         >>> from torch.cuda import cudart, check_error
2025-08-14T21:39:33.1882175Z         >>> import os
2025-08-14T21:39:33.1882380Z         >>>
2025-08-14T21:39:33.1882586Z         >>> os.environ["CUDA_PROFILE"] = "1"
2025-08-14T21:39:33.1882856Z         >>>
2025-08-14T21:39:33.1883035Z         >>> def perform_cuda_operations_with_streams():
2025-08-14T21:39:33.1883292Z         >>>     stream = torch.cuda.Stream()
2025-08-14T21:39:33.1883549Z         >>>     with torch.cuda.stream(stream):
2025-08-14T21:39:33.1883801Z         >>>         x = torch.randn(100, 100, device='cuda')
2025-08-14T21:39:33.1884066Z         >>>         y = torch.randn(100, 100, device='cuda')
2025-08-14T21:39:33.1884305Z         >>>         z = torch.mul(x, y)
2025-08-14T21:39:33.1884518Z         >>>     return z
2025-08-14T21:39:33.1884691Z         >>>
2025-08-14T21:39:33.1884855Z         >>> torch.cuda.synchronize()
2025-08-14T21:39:33.1885089Z         >>> print("====== Start nsys profiling ======")
2025-08-14T21:39:33.1885356Z         >>> check_error(cudart().cudaProfilerStart())
2025-08-14T21:39:33.1885627Z         >>> with torch.autograd.profiler.emit_nvtx():
2025-08-14T21:39:33.1885920Z         >>>     result = perform_cuda_operations_with_streams()
2025-08-14T21:39:33.1886203Z         >>>     print("CUDA operations completed.")
2025-08-14T21:39:33.1886487Z         >>> check_error(torch.cuda.cudart().cudaProfilerStop())
2025-08-14T21:39:33.1886761Z         >>> print("====== End nsys profiling ======")
2025-08-14T21:39:33.1886929Z 
2025-08-14T21:39:33.1887068Z     To run this example and save the profiling information, execute:
2025-08-14T21:39:33.1887560Z         >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-08-14T21:39:33.1888037Z 
2025-08-14T21:39:33.1888225Z     This command profiles the CUDA operations in the provided script and saves
2025-08-14T21:39:33.1888616Z     the profiling information to a file named `trace_name.prof`.
2025-08-14T21:39:33.1888987Z     The `--profile-from-start off` option ensures that profiling starts only
2025-08-14T21:39:33.1889343Z     after the `cudaProfilerStart` call in the script.
2025-08-14T21:39:33.1889675Z     The `--csv` and `--print-summary` options format the profiling output as a
2025-08-14T21:39:33.1890005Z     CSV file and print a summary, respectively.
2025-08-14T21:39:33.1890337Z     The `-o` option specifies the output file name, and the `-f` option forces the
2025-08-14T21:39:33.1890695Z     overwrite of the output file if it already exists.
2025-08-14T21:39:33.1890935Z     
2025-08-14T21:39:33.1891545Z 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))
2025-08-14T21:39:33.1892092Z 
2025-08-14T21:39:33.1892339Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-08-14T21:39:33.1892729Z ^
2025-08-14T21:39:34.3008851Z msg = Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=39.
2025-08-14T21:39:34.3009669Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T21:39:34.3010003Z 
2025-08-14T21:39:34.3010204Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that
2025-08-14T21:39:34.3010668Z maps ``func`` over some dimension of the inputs. Semantically, vmap
2025-08-14T21:39:34.3011137Z pushes the map into PyTorch operations called by ``func``, effectively
2025-08-14T21:39:34.3011523Z vectorizing those operations.
2025-08-14T21:39:34.3012035Z 
2025-08-14T21:39:34.3012300Z vmap is useful for handling batch dimensions: one can write a function
2025-08-14T21:39:34.3012780Z ``func`` that runs on examples and then lift it to a function that can
2025-08-14T21:39:34.3013251Z take batches of examples with ``vmap(func)``. vmap can also be used to
2025-08-14T21:39:34.3013600Z compute batched gradients when composed with autograd.
2025-08-14T21:39:34.3013805Z 
2025-08-14T21:39:34.3013907Z .. note::
2025-08-14T21:39:34.3014139Z     :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for
2025-08-14T21:39:34.3014446Z     convenience. Use whichever one you'd like.
2025-08-14T21:39:34.3014610Z 
2025-08-14T21:39:34.3014669Z Args:
2025-08-14T21:39:34.3014904Z     func (function): A Python function that takes one or more arguments.
2025-08-14T21:39:34.3015216Z         Must return one or more Tensors.
2025-08-14T21:39:34.3015501Z     in_dims (int or nested structure): Specifies which dimension of the
2025-08-14T21:39:34.3015838Z         inputs should be mapped over. ``in_dims`` should have a
2025-08-14T21:39:34.3016195Z         structure like the inputs. If the ``in_dim`` for a particular
2025-08-14T21:39:34.3016536Z         input is None, then that indicates there is no map dimension.
2025-08-14T21:39:34.3016797Z         Default: 0.
2025-08-14T21:39:34.3017034Z     out_dims (int or Tuple[int]): Specifies where the mapped dimension
2025-08-14T21:39:34.3017384Z         should appear in the outputs. If ``out_dims`` is a Tuple, then
2025-08-14T21:39:34.3017702Z         it should have one element per output. Default: 0.
2025-08-14T21:39:34.3018018Z     randomness (str): Specifies whether the randomness in this
2025-08-14T21:39:34.3018365Z         vmap should be the same or different across batches. If 'different',
2025-08-14T21:39:34.3018724Z         the randomness for each batch will be different. If 'same', the
2025-08-14T21:39:34.3019074Z         randomness will be the same across batches. If 'error', any calls to
2025-08-14T21:39:34.3019446Z         random functions will error. Default: 'error'. WARNING: this flag
2025-08-14T21:39:34.3019818Z         only applies to random PyTorch operations and does not apply to
2025-08-14T21:39:34.3020980Z         Python's random module or numpy randomness.
2025-08-14T21:39:34.3021325Z     chunk_size (None or int): If None (default), apply a single vmap over inputs.
2025-08-14T21:39:34.3021710Z         If not None, then compute the vmap :attr:`chunk_size` samples at a time.
2025-08-14T21:39:34.3022118Z         Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop.
2025-08-14T21:39:34.3022551Z         If you run into memory issues computing the vmap, please try a non-None chunk_size.
2025-08-14T21:39:34.3022815Z 
2025-08-14T21:39:34.3022879Z Returns:
2025-08-14T21:39:34.3023105Z     Returns a new "batched" function. It takes the same inputs as
2025-08-14T21:39:34.3023448Z     ``func``, except each input has an extra dimension at the index
2025-08-14T21:39:34.3023817Z     specified by ``in_dims``. It takes returns the same outputs as
2025-08-14T21:39:34.3024300Z     ``func``, except each output has an extra dimension at the index
2025-08-14T21:39:34.3024601Z     specified by ``out_dims``.
2025-08-14T21:39:34.3024732Z 
2025-08-14T21:39:34.3024803Z .. warning:
2025-08-14T21:39:34.3025027Z     :func:`vmap` works best with functional-style code. Please do not
2025-08-14T21:39:34.3025381Z     perform any side-effects in ``func``, with the exception of
2025-08-14T21:39:34.3025754Z     in-place PyTorch operations. Examples of side-effects include mutating
2025-08-14T21:39:34.3026147Z     Python data structures and assigning values to variables not captured
2025-08-14T21:39:34.3026459Z     in ``func``.
2025-08-14T21:39:34.3026566Z 
2025-08-14T21:39:34.3026746Z One example of using :func:`vmap` is to compute batched dot products. PyTorch
2025-08-14T21:39:34.3027161Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully
2025-08-14T21:39:34.3027540Z rummaging through docs, use :func:`vmap` to construct a new function.
2025-08-14T21:39:34.3027784Z 
2025-08-14T21:39:34.3027883Z     >>> torch.dot  # [D], [D] -> []
2025-08-14T21:39:34.3028184Z     >>> batched_dot = torch.func.vmap(torch.dot)  # [N, D], [N, D] -> [N]
2025-08-14T21:39:34.3028499Z     >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-08-14T21:39:34.3028738Z     >>> batched_dot(x, y)
2025-08-14T21:39:34.3028863Z 
2025-08-14T21:39:34.3029024Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler
2025-08-14T21:39:34.3029352Z model authoring experience.
2025-08-14T21:39:34.3029482Z 
2025-08-14T21:39:34.3029559Z     >>> batch_size, feature_size = 3, 5
2025-08-14T21:39:34.3029832Z     >>> weights = torch.randn(feature_size, requires_grad=True)
2025-08-14T21:39:34.3030091Z     >>>
2025-08-14T21:39:34.3030240Z     >>> def model(feature_vec):
2025-08-14T21:39:34.3030463Z     >>> # Very simple linear model with activation
2025-08-14T21:39:34.3030723Z     >>>     return feature_vec.dot(weights).relu()
2025-08-14T21:39:34.3030934Z     >>>
2025-08-14T21:39:34.3031132Z     >>> examples = torch.randn(batch_size, feature_size)
2025-08-14T21:39:34.3031397Z     >>> result = torch.vmap(model)(examples)
2025-08-14T21:39:34.3031565Z 
2025-08-14T21:39:34.3031738Z :func:`vmap` can also help vectorize computations that were previously difficult
2025-08-14T21:39:34.3032158Z or impossible to batch. One example is higher-order gradient computation.
2025-08-14T21:39:34.3032561Z The PyTorch autograd engine computes vjps (vector-Jacobian products).
2025-08-14T21:39:34.3032947Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually
2025-08-14T21:39:34.3033362Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`,
2025-08-14T21:39:34.3033787Z we can vectorize the whole computation, computing the Jacobian in a single
2025-08-14T21:39:34.3034098Z call to ``autograd.grad``.
2025-08-14T21:39:34.3034221Z 
2025-08-14T21:39:34.3034282Z     >>> # Setup
2025-08-14T21:39:34.3034443Z     >>> N = 5
2025-08-14T21:39:34.3034601Z     >>> f = lambda x: x**2
2025-08-14T21:39:34.3034805Z     >>> x = torch.randn(N, requires_grad=True)
2025-08-14T21:39:34.3035028Z     >>> y = f(x)
2025-08-14T21:39:34.3035293Z     >>> I_N = torch.eye(N)
2025-08-14T21:39:34.3035466Z     >>>
2025-08-14T21:39:34.3035622Z     >>> # Sequential approach
2025-08-14T21:39:34.3035901Z     >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0]
2025-08-14T21:39:34.3036239Z     >>>                  for v in I_N.unbind()]
2025-08-14T21:39:34.3036611Z     >>> jacobian = torch.stack(jacobian_rows)
2025-08-14T21:39:34.3036832Z     >>>
2025-08-14T21:39:34.3036994Z     >>> # vectorized gradient computation
2025-08-14T21:39:34.3037263Z     >>> def get_vjp(v):
2025-08-14T21:39:34.3037528Z     >>>     return torch.autograd.grad(y, x, v)
2025-08-14T21:39:34.3037778Z     >>> jacobian = torch.vmap(get_vjp)(I_N)
2025-08-14T21:39:34.3037930Z 
2025-08-14T21:39:34.3038183Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions
2025-08-14T21:39:34.3038514Z 
2025-08-14T21:39:34.3038698Z     >>> torch.dot  # [D], [D] -> []
2025-08-14T21:39:34.3038943Z     >>> batched_dot = torch.vmap(
2025-08-14T21:39:34.3039157Z     ...     torch.vmap(torch.dot)
2025-08-14T21:39:34.3039371Z     ... )  # [N1, N0, D], [N1, N0, D] -> [N1, N0]
2025-08-14T21:39:34.3039632Z     >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5)
2025-08-14T21:39:34.3039903Z     >>> batched_dot(x, y)  # tensor of size [2, 3]
2025-08-14T21:39:34.3040066Z 
2025-08-14T21:39:34.3040230Z If the inputs are not batched along the first dimension, ``in_dims`` specifies
2025-08-14T21:39:34.3040585Z the dimension that each inputs are batched along as
2025-08-14T21:39:34.3040766Z 
2025-08-14T21:39:34.3040847Z     >>> torch.dot  # [N], [N] -> []
2025-08-14T21:39:34.3041126Z     >>> batched_dot = torch.vmap(torch.dot, in_dims=1)  # [N, D], [N, D] -> [D]
2025-08-14T21:39:34.3041451Z     >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-08-14T21:39:34.3041685Z     >>> batched_dot(
2025-08-14T21:39:34.3041968Z     ...     x, y
2025-08-14T21:39:34.3042210Z     ... )  # output is [5] instead of [2] if batched along the 0th dimension
2025-08-14T21:39:34.3042432Z 
2025-08-14T21:39:34.3042610Z If there are multiple inputs each of which is batched along different dimensions,
2025-08-14T21:39:34.3043014Z ``in_dims`` must be a tuple with the batch dimension for each input as
2025-08-14T21:39:34.3043229Z 
2025-08-14T21:39:34.3043302Z     >>> torch.dot  # [D], [D] -> []
2025-08-14T21:39:34.3043605Z     >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None))  # [N, D], [D] -> [N]
2025-08-14T21:39:34.3043933Z     >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-08-14T21:39:34.3044163Z     >>> batched_dot(
2025-08-14T21:39:34.3044329Z     ...     x, y
2025-08-14T21:39:34.3044575Z     ... )  # second arg doesn't have a batch dim because in_dim[1] was None
2025-08-14T21:39:34.3044786Z 
2025-08-14T21:39:34.3044956Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct
2025-08-14T21:39:34.3045279Z matching the shape of the input:
2025-08-14T21:39:34.3045429Z 
2025-08-14T21:39:34.3045530Z     >>> f = lambda dict: torch.dot(dict["x"], dict["y"])
2025-08-14T21:39:34.3045792Z     >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-08-14T21:39:34.3046016Z     >>> input = {"x": x, "y": y}
2025-08-14T21:39:34.3046260Z     >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},))
2025-08-14T21:39:34.3046525Z     >>> batched_dot(input)
2025-08-14T21:39:34.3046641Z 
2025-08-14T21:39:34.3046835Z By default, the output is batched along the first dimension. However, it can be batched
2025-08-14T21:39:34.3047201Z along any dimension by using ``out_dims``
2025-08-14T21:39:34.3047363Z 
2025-08-14T21:39:34.3047429Z     >>> f = lambda x: x**2
2025-08-14T21:39:34.3047613Z     >>> x = torch.randn(2, 5)
2025-08-14T21:39:34.3047823Z     >>> batched_pow = torch.vmap(f, out_dims=1)
2025-08-14T21:39:34.3048054Z     >>> batched_pow(x)  # [5, 2]
2025-08-14T21:39:34.3048184Z 
2025-08-14T21:39:34.3048394Z For any function that uses kwargs, the returned function will not batch the kwargs but will
2025-08-14T21:39:34.3048738Z accept kwargs
2025-08-14T21:39:34.3048919Z 
2025-08-14T21:39:34.3048989Z     >>> x = torch.randn([2, 5])
2025-08-14T21:39:34.3049187Z     >>> def fn(x, scale=4.):
2025-08-14T21:39:34.3049374Z     >>>   return x * scale
2025-08-14T21:39:34.3049549Z     >>>
2025-08-14T21:39:34.3049710Z     >>> batched_pow = torch.vmap(fn)
2025-08-14T21:39:34.3049955Z     >>> assert torch.allclose(batched_pow(x), x * 4)
2025-08-14T21:39:34.3050284Z     >>> batched_pow(x, scale=x)  # scale is not batched, output has shape [2, 2, 5]
2025-08-14T21:39:34.3050525Z 
2025-08-14T21:39:34.3050602Z .. note::
2025-08-14T21:39:34.3050843Z     vmap does not provide general autobatching or handle variable-length
2025-08-14T21:39:34.3051147Z     sequences out of the box.
2025-08-14T21:39:34.3051273Z 
2025-08-14T21:39:34.3051709Z Original Error: IndentationError('expected an indented block after function definition on line 4', ('<source_block>', 5, 1, '_._ = None\n', 5, 2))
2025-08-14T21:39:34.3052145Z 
2025-08-14T21:39:34.3052210Z _._ = None
2025-08-14T21:39:34.3052366Z ^
2025-08-14T21:39:34.3052793Z msg = Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=306.
2025-08-14T21:39:34.3053368Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T21:39:34.3053789Z ``grad`` operator helps computing gradients of ``func`` with respect to the
2025-08-14T21:39:34.3054164Z     input(s) specified by ``argnums``. This operator can be nested to
2025-08-14T21:39:34.3054462Z     compute higher-order gradients.
2025-08-14T21:39:34.3054603Z 
2025-08-14T21:39:34.3054667Z     Args:
2025-08-14T21:39:34.3054898Z         func (Callable): A Python function that takes one or more arguments.
2025-08-14T21:39:34.3055304Z             Must return a single-element Tensor. If specified ``has_aux`` equals ``True``,
2025-08-14T21:39:34.3055756Z             function can return a tuple of single-element Tensor and other auxiliary objects:
2025-08-14T21:39:34.3056085Z             ``(output, aux)``.
2025-08-14T21:39:34.3056408Z         argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to.
2025-08-14T21:39:34.3056824Z             ``argnums`` can be single integer or tuple of integers. Default: 0.
2025-08-14T21:39:34.3057190Z         has_aux (bool): Flag indicating that ``func`` returns a tensor and other
2025-08-14T21:39:34.3057538Z             auxiliary objects: ``(output, aux)``. Default: False.
2025-08-14T21:39:34.3057733Z 
2025-08-14T21:39:34.3057797Z     Returns:
2025-08-14T21:39:34.3058095Z         Function to compute gradients with respect to its inputs. By default, the output of
2025-08-14T21:39:34.3058529Z         the function is the gradient tensor(s) with respect to the first argument.
2025-08-14T21:39:34.3058954Z         If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects
2025-08-14T21:39:34.3059397Z         is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with
2025-08-14T21:39:34.3059743Z         respect to each ``argnums`` value is returned.
2025-08-14T21:39:34.3059927Z 
2025-08-14T21:39:34.3060005Z     Example of using ``grad``:
2025-08-14T21:39:34.3060138Z 
2025-08-14T21:39:34.3060208Z         >>> # xdoctest: +SKIP
2025-08-14T21:39:34.3060417Z         >>> from torch.func import grad
2025-08-14T21:39:34.3060628Z         >>> x = torch.randn([])
2025-08-14T21:39:34.3060842Z         >>> cos_x = grad(lambda x: torch.sin(x))(x)
2025-08-14T21:39:34.3061094Z         >>> assert torch.allclose(cos_x, x.cos())
2025-08-14T21:39:34.3061317Z         >>>
2025-08-14T21:39:34.3061480Z         >>> # Second-order gradients
2025-08-14T21:39:34.3061721Z         >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x)
2025-08-14T21:39:34.3061998Z         >>> assert torch.allclose(neg_sin_x, -x.sin())
2025-08-14T21:39:34.3062170Z 
2025-08-14T21:39:34.3062348Z     When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients:
2025-08-14T21:39:34.3062605Z 
2025-08-14T21:39:34.3062673Z         >>> # xdoctest: +SKIP
2025-08-14T21:39:34.3062987Z         >>> from torch.func import grad, vmap
2025-08-14T21:39:34.3063226Z         >>> batch_size, feature_size = 3, 5
2025-08-14T21:39:34.3063453Z         >>>
2025-08-14T21:39:34.3063626Z         >>> def model(weights, feature_vec):
2025-08-14T21:39:34.3063872Z         >>> # Very simple linear model with activation
2025-08-14T21:39:34.3064113Z         >>>     assert feature_vec.dim() == 1
2025-08-14T21:39:34.3064348Z         >>>     return feature_vec.dot(weights).relu()
2025-08-14T21:39:34.3064573Z         >>>
2025-08-14T21:39:34.3064747Z         >>> def compute_loss(weights, example, target):
2025-08-14T21:39:34.3064997Z         >>>     y = model(weights, example)
2025-08-14T21:39:34.3065238Z         >>>     return ((y - target) ** 2).mean()  # MSELoss
2025-08-14T21:39:34.3065463Z         >>>
2025-08-14T21:39:34.3065760Z         >>> weights = torch.randn(feature_size, requires_grad=True)
2025-08-14T21:39:34.3066079Z         >>> examples = torch.randn(batch_size, feature_size)
2025-08-14T21:39:34.3066340Z         >>> targets = torch.randn(batch_size)
2025-08-14T21:39:34.3066580Z         >>> inputs = (weights, examples, targets)
2025-08-14T21:39:34.3066905Z         >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))(
2025-08-14T21:39:34.3067212Z         ...     *inputs
2025-08-14T21:39:34.3067372Z         ... )
2025-08-14T21:39:34.3067467Z 
2025-08-14T21:39:34.3067588Z     Example of using ``grad`` with ``has_aux`` and ``argnums``:
2025-08-14T21:39:34.3067785Z 
2025-08-14T21:39:34.3067860Z         >>> # xdoctest: +SKIP
2025-08-14T21:39:34.3068061Z         >>> from torch.func import grad
2025-08-14T21:39:34.3068298Z         >>> def my_loss_func(y, y_pred):
2025-08-14T21:39:34.3068540Z         >>>    loss_per_sample = (0.5 * y_pred - y) ** 2
2025-08-14T21:39:34.3068789Z         >>>    loss = loss_per_sample.mean()
2025-08-14T21:39:34.3069039Z         >>>    return loss, (y_pred, loss_per_sample)
2025-08-14T21:39:34.3069263Z         >>>
2025-08-14T21:39:34.3069469Z         >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True)
2025-08-14T21:39:34.3069717Z         >>> y_true = torch.rand(4)
2025-08-14T21:39:34.3069949Z         >>> y_preds = torch.rand(4, requires_grad=True)
2025-08-14T21:39:34.3070192Z         >>> out = fn(y_true, y_preds)
2025-08-14T21:39:34.3070502Z         >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample))
2025-08-14T21:39:34.3070759Z 
2025-08-14T21:39:34.3070831Z     .. note::
2025-08-14T21:39:34.3071052Z         Using PyTorch ``torch.no_grad`` together with ``grad``.
2025-08-14T21:39:34.3071259Z 
2025-08-14T21:39:34.3071370Z         Case 1: Using ``torch.no_grad`` inside a function:
2025-08-14T21:39:34.3071550Z 
2025-08-14T21:39:34.3071630Z             >>> # xdoctest: +SKIP
2025-08-14T21:39:34.3071835Z             >>> def f(x):
2025-08-14T21:39:34.3072035Z             >>>     with torch.no_grad():
2025-08-14T21:39:34.3072246Z             >>>         c = x ** 2
2025-08-14T21:39:34.3072447Z             >>>     return x - c
2025-08-14T21:39:34.3072593Z 
2025-08-14T21:39:34.3072735Z         In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``.
2025-08-14T21:39:34.3072952Z 
2025-08-14T21:39:34.3073079Z         Case 2: Using ``grad`` inside ``torch.no_grad`` context manager:
2025-08-14T21:39:34.3073296Z 
2025-08-14T21:39:34.3073368Z             >>> # xdoctest: +SKIP
2025-08-14T21:39:34.3073569Z             >>> with torch.no_grad():
2025-08-14T21:39:34.3073776Z             >>>     grad(f)(x)
2025-08-14T21:39:34.3073895Z 
2025-08-14T21:39:34.3074049Z         In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the
2025-08-14T21:39:34.3074433Z         outer one. This is because ``grad`` is a "function transform": its result
2025-08-14T21:39:34.3074821Z         should not depend on the result of a context manager outside of ``f``.
2025-08-14T21:39:34.3075046Z 
2025-08-14T21:39:34.3075113Z     
2025-08-14T21:39:34.3075542Z Original Error: IndentationError('expected an indented block after function definition on line 5', ('<source_block>', 6, 1, '_._ = None\n', 6, 2))
2025-08-14T21:39:34.3076079Z 
2025-08-14T21:39:34.3076139Z _._ = None
2025-08-14T21:39:34.3076291Z ^
2025-08-14T21:39:36.3192274Z 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.
2025-08-14T21:39:36.3193184Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T21:39:36.3193672Z Register a FakeTensor implementation for this custom op.
2025-08-14T21:39:36.3193933Z 
2025-08-14T21:39:36.3194147Z         This is necessary to get the operator to work efficiently with torch.compile.
2025-08-14T21:39:36.3194402Z 
2025-08-14T21:39:36.3194565Z         The Fake impl (sometimes also known as a meta kernel or abstract impl)
2025-08-14T21:39:36.3195294Z         specifies the behavior of this operator on Tensors that carry no data.
2025-08-14T21:39:36.3195671Z         Given some input Tensors with certain properties
2025-08-14T21:39:36.3196054Z         (sizes/strides/storage_offset/device), it specifies what the properties of
2025-08-14T21:39:36.3196386Z         the output Tensors are.
2025-08-14T21:39:36.3196523Z 
2025-08-14T21:39:36.3196673Z         Please see :func:`torch.library.register_fake` for more details.
2025-08-14T21:39:36.3196904Z 
2025-08-14T21:39:36.3196965Z         Args:
2025-08-14T21:39:36.3197185Z             fn (Callable): The function to register as the FakeTensor
2025-08-14T21:39:36.3197460Z                 implementation.
2025-08-14T21:39:36.3197589Z 
2025-08-14T21:39:36.3197651Z         Examples:
2025-08-14T21:39:36.3197824Z             >>> import torch
2025-08-14T21:39:36.3198021Z             >>> import numpy as np
2025-08-14T21:39:36.3198234Z             >>> from torch import Tensor
2025-08-14T21:39:36.3198460Z             >>>
2025-08-14T21:39:36.3198702Z             >>> # Example 1: an operator without data-dependent output shape
2025-08-14T21:39:36.3199080Z             >>> @torch.library.custom_op("mylib::linear", mutates_args=())
2025-08-14T21:39:36.3199441Z             >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-08-14T21:39:36.3199741Z             >>>     return (x @ weight.t()) + bias
2025-08-14T21:39:36.3199988Z             >>>
2025-08-14T21:39:36.3200155Z             >>> @linear.register_fake
2025-08-14T21:39:36.3200378Z             >>> def _(x, weight, bias):
2025-08-14T21:39:36.3200592Z             >>>     assert x.dim() == 2
2025-08-14T21:39:36.3200822Z             >>>     assert weight.dim() == 2
2025-08-14T21:39:36.3201051Z             >>>     assert bias.dim() == 1
2025-08-14T21:39:36.3201295Z             >>>     assert x.shape[1] == weight.shape[1]
2025-08-14T21:39:36.3201563Z             >>>     assert weight.shape[0] == bias.shape[0]
2025-08-14T21:39:36.3201919Z             >>>     assert x.device == weight.device
2025-08-14T21:39:36.3202207Z             >>>     return x.new_empty(x.size(0), weight.size(0))
2025-08-14T21:39:36.3202480Z             >>>
2025-08-14T21:39:36.3202646Z             >>> x = torch.randn(2, 2)
2025-08-14T21:39:36.3202864Z             >>> weight = torch.randn(2, 2)
2025-08-14T21:39:36.3203085Z             >>> bias = torch.randn(2)
2025-08-14T21:39:36.3203333Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-08-14T21:39:36.3203632Z             >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias)
2025-08-14T21:39:36.3203936Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-08-14T21:39:36.3204294Z             >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias))
2025-08-14T21:39:36.3204601Z             >>>
2025-08-14T21:39:36.3204817Z             >>> # Example 2: an operator with data-dependent output shape
2025-08-14T21:39:36.3205154Z             >>> @torch.library.custom_op("mylib::nonzero", mutates_args=())
2025-08-14T21:39:36.3205462Z             >>> def nonzero(x: Tensor) -> Tensor:
2025-08-14T21:39:36.3205692Z             >>>     x_np = x.cpu().numpy()
2025-08-14T21:39:36.3206101Z             >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-08-14T21:39:36.3206364Z             >>>     return torch.tensor(res, device=x.device)
2025-08-14T21:39:36.3206589Z             >>>
2025-08-14T21:39:36.3206756Z             >>> @nonzero.register_fake
2025-08-14T21:39:36.3206980Z             >>> def _(x):
2025-08-14T21:39:36.3207207Z             >>> # Number of nonzero-elements is data-dependent.
2025-08-14T21:39:36.3207517Z             >>> # Since we cannot peek at the data in an abstract impl,
2025-08-14T21:39:36.3207826Z             >>> # we use the ctx object to construct a new symint that
2025-08-14T21:39:36.3208107Z             >>> # represents the data-dependent size.
2025-08-14T21:39:36.3208355Z             >>>     ctx = torch.library.get_ctx()
2025-08-14T21:39:36.3208600Z             >>>     nnz = ctx.new_dynamic_size()
2025-08-14T21:39:36.3208926Z             >>>     shape = [nnz, x.dim()]
2025-08-14T21:39:36.3209185Z             >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-08-14T21:39:36.3209447Z             >>>     return result
2025-08-14T21:39:36.3209654Z             >>>
2025-08-14T21:39:36.3209827Z             >>> x = torch.tensor([0, 1, 2, 0, 0, 1])
2025-08-14T21:39:36.3210081Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-08-14T21:39:36.3210363Z             >>> out = torch.compile(nonzero, fullgraph=True)(x)
2025-08-14T21:39:36.3210657Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-08-14T21:39:36.3210925Z             >>> assert torch.allclose(out, x.nonzero())
2025-08-14T21:39:36.3211095Z 
2025-08-14T21:39:36.3211154Z         
2025-08-14T21:39:36.3211602Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('<source_block>', 37, 1, '_._ = None\n', 37, 2))
2025-08-14T21:39:36.3212379Z 
2025-08-14T21:39:36.3212449Z _._ = None
2025-08-14T21:39:36.3212620Z ^
2025-08-14T21:39:36.3354817Z 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.
2025-08-14T21:39:36.3355724Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T21:39:36.3356060Z 
2025-08-14T21:39:36.3356268Z Registers a fake kernel based on the given operator profiles. This fake
2025-08-14T21:39:36.3356800Z kernel registration will override any existing fake kernel registrations.
2025-08-14T21:39:36.3357114Z 
2025-08-14T21:39:36.3357303Z The input is a dictionary mapping operator names to a set of operator
2025-08-14T21:39:36.3357785Z profiles, which we will use to generate fake kernels. The operator profiles
2025-08-14T21:39:36.3358260Z are a record of the input and output tensor metadata. Based on this
2025-08-14T21:39:36.3358751Z information we will match a given input to the recorded profile, and return
2025-08-14T21:39:36.3359268Z an output with the same metadata as in the recorded profile. If a profile
2025-08-14T21:39:36.3359685Z doesn't exist then an exception will be thrown.
2025-08-14T21:39:36.3359909Z 
2025-08-14T21:39:36.3360108Z The fake kernel generation is considered unsafe because it relies on the
2025-08-14T21:39:36.3360600Z rigid, pre-defined operator profiles that do not account for potential
2025-08-14T21:39:36.3361097Z variations in output behavior. Specifically, the generated kernels assume a
2025-08-14T21:39:36.3361632Z fixed relationship between input and output ranks. However, in reality, it's
2025-08-14T21:39:36.3362249Z possible that data-dependent operations may produce outputs of different
2025-08-14T21:39:36.3362741Z ranks even when given inputs of the same rank. The generated fake kernels
2025-08-14T21:39:36.3363211Z are inflexible and unable to accommodate these nuances, making them
2025-08-14T21:39:36.3363566Z potentially unsafe.
2025-08-14T21:39:36.3363700Z 
2025-08-14T21:39:36.3363770Z Args:
2025-08-14T21:39:36.3364035Z     op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator
2025-08-14T21:39:36.3364582Z         name to a set of operator profiles from which we will generate fake
2025-08-14T21:39:36.3364876Z         kernels.
2025-08-14T21:39:36.3364979Z 
2025-08-14T21:39:36.3365041Z Examples:
2025-08-14T21:39:36.3365126Z 
2025-08-14T21:39:36.3365255Z     >>> # Example: Registering an op-profile from draft-export
2025-08-14T21:39:36.3365512Z     >>> import torch
2025-08-14T21:39:36.3365731Z     >>> from torch.export._draft_export import draft_export
2025-08-14T21:39:36.3365978Z     >>>
2025-08-14T21:39:36.3366187Z     >>> @torch.library.custom_op("mylib::foo", mutates_args=())
2025-08-14T21:39:36.3366473Z     >>> def foo(x: Tensor, y: Tensor) -> Tensor:
2025-08-14T21:39:36.3366715Z     >>>     return x + y
2025-08-14T21:39:36.3366890Z     >>>
2025-08-14T21:39:36.3367051Z     >>> class M(torch.nn.Module):
2025-08-14T21:39:36.3367269Z     >>>     def forward(self, a, b):
2025-08-14T21:39:36.3367624Z     >>>         res = torch.ops.mylib.foo(a, b)  # no fake impl
2025-08-14T21:39:36.3367870Z     >>>         return res
2025-08-14T21:39:36.3368062Z     >>>
2025-08-14T21:39:36.3368257Z     >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4))
2025-08-14T21:39:36.3368508Z     >>>
2025-08-14T21:39:36.3368798Z     >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles):
2025-08-14T21:39:36.3369179Z     >>>     decomp = ep.run_decompositions()
2025-08-14T21:39:36.3369338Z 
2025-08-14T21:39:36.3369342Z 
2025-08-14T21:39:36.3369667Z Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced')
2025-08-14T21:39:36.3370073Z 
2025-08-14T21:39:36.7775254Z 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.
2025-08-14T21:39:36.7776364Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T21:39:36.7776720Z 
2025-08-14T21:39:36.7776965Z The Activation sparsifier class aims to sparsify/prune activations in a neural
2025-08-14T21:39:36.7777506Z network. The idea is to attach the sparsifier to a layer (or layers) and it
2025-08-14T21:39:36.7778009Z zeroes out the activations based on the mask_fn (or sparsification function)
2025-08-14T21:39:36.7778415Z input by the user.
2025-08-14T21:39:36.7778742Z The mask_fn is applied once all the inputs are aggregated and reduced i.e.
2025-08-14T21:39:36.7779173Z mask = mask_fn(reduce_fn(aggregate_fn(activations)))
2025-08-14T21:39:36.7779399Z 
2025-08-14T21:39:36.7779512Z Note::
2025-08-14T21:39:36.7779892Z     The sparsification mask is computed on the input **before it goes through the attached layer**.
2025-08-14T21:39:36.7780281Z 
2025-08-14T21:39:36.7780365Z Args:
2025-08-14T21:39:36.7780545Z     model (nn.Module):
2025-08-14T21:39:36.7780894Z         The model whose layers will be sparsified. The layers that needs to be
2025-08-14T21:39:36.7781394Z         sparsified should be added separately using the register_layer() function
2025-08-14T21:39:36.7781801Z     aggregate_fn (Optional, Callable):
2025-08-14T21:39:36.7782202Z         default aggregate_fn that is used if not specified while registering the layer.
2025-08-14T21:39:36.7782687Z         specifies how inputs should be aggregated over time.
2025-08-14T21:39:36.7783170Z         The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor.
2025-08-14T21:39:36.7783576Z         Example
2025-08-14T21:39:36.7783851Z             def add_agg_fn(tensor1, tensor2):  return tensor1 + tensor2
2025-08-14T21:39:36.7784183Z             reduce_fn (Optional, Callable):
2025-08-14T21:39:36.7784506Z                 default reduce_fn that is used if not specified while registering the layer.
2025-08-14T21:39:36.7784933Z                 reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after
2025-08-14T21:39:36.7785281Z                 calling agg_fn() on all inputs.
2025-08-14T21:39:36.7785511Z                 Example
2025-08-14T21:39:36.7786110Z             def mean_reduce_fn(agg_tensor):    return agg_tensor.mean(dim=0)
2025-08-14T21:39:36.7786430Z             mask_fn (Optional, Callable):
2025-08-14T21:39:36.7786798Z                 default mask_fn that is used to create the sparsification mask using the tensor obtained after
2025-08-14T21:39:36.7787282Z                 calling the reduce_fn(). This is used by default if a custom one is passed in the
2025-08-14T21:39:36.7787613Z                 register_layer().
2025-08-14T21:39:36.7788013Z                 Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config
2025-08-14T21:39:36.7788408Z                 arguments.
2025-08-14T21:39:36.7788600Z             features (Optional, list):
2025-08-14T21:39:36.7788842Z                 default selected features to sparsify.
2025-08-14T21:39:36.7789345Z                 If this is non-empty, then the mask_fn will be applied for each feature of the input.
2025-08-14T21:39:36.7789699Z                 For example,
2025-08-14T21:39:36.7789998Z             mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features]
2025-08-14T21:39:36.7790334Z             feature_dim (Optional, int):
2025-08-14T21:39:36.7790679Z                 default dimension of input features. Again, features along this dim will be chosen
2025-08-14T21:39:36.7791017Z                 for sparsification.
2025-08-14T21:39:36.7791233Z             sparse_config (Dict):
2025-08-14T21:39:36.7791516Z                 Default configuration for the mask_fn. This config will be passed
2025-08-14T21:39:36.7791833Z                 with the mask_fn()
2025-08-14T21:39:36.7791971Z 
2025-08-14T21:39:36.7792034Z Example:
2025-08-14T21:39:36.7792185Z     >>> # xdoctest: +SKIP
2025-08-14T21:39:36.7792389Z     >>> model = SomeModel()
2025-08-14T21:39:36.7792680Z     >>> act_sparsifier = ActivationSparsifier(...)  # init activation sparsifier
2025-08-14T21:39:36.7793003Z     >>> # Initialize aggregate_fn
2025-08-14T21:39:36.7793210Z     >>> def agg_fn(x, y):
2025-08-14T21:39:36.7793381Z     >>>     return x + y
2025-08-14T21:39:36.7793551Z     >>>
2025-08-14T21:39:36.7793704Z     >>> # Initialize reduce_fn
2025-08-14T21:39:36.7793894Z     >>> def reduce_fn(x):
2025-08-14T21:39:36.7794085Z     >>>     return torch.mean(x, dim=0)
2025-08-14T21:39:36.7794303Z     >>>
2025-08-14T21:39:36.7794449Z     >>> # Initialize mask_fn
2025-08-14T21:39:36.7794640Z     >>> def mask_fn(data):
2025-08-14T21:39:36.7794862Z     >>>     return torch.eye(data.shape).to(data.device)
2025-08-14T21:39:36.7795102Z     >>>
2025-08-14T21:39:36.7795247Z     >>>
2025-08-14T21:39:36.7795410Z     >>> act_sparsifier.register_layer(
2025-08-14T21:39:36.7795629Z     ...     model.some_layer,
2025-08-14T21:39:36.7795817Z     ...     aggregate_fn=agg_fn,
2025-08-14T21:39:36.7796016Z     ...     reduce_fn=reduce_fn,
2025-08-14T21:39:36.7796216Z     ...     mask_fn=mask_fn,
2025-08-14T21:39:36.7796389Z     ... )
2025-08-14T21:39:36.7796536Z     >>>
2025-08-14T21:39:36.7796692Z     >>> # start training process
2025-08-14T21:39:36.7796892Z     >>> for _ in [...]:
2025-08-14T21:39:36.7797068Z     >>> # epoch starts
2025-08-14T21:39:36.7797296Z     >>> # model.forward(), compute_loss() and model.backwards()
2025-08-14T21:39:36.7797549Z     >>> # epoch ends
2025-08-14T21:39:36.7797726Z     >>>     act_sparsifier.step()
2025-08-14T21:39:36.7797930Z     >>> # end training process
2025-08-14T21:39:36.7798136Z     >>> sparsifier.squash_mask()
2025-08-14T21:39:36.7798271Z 
2025-08-14T21:39:36.7798615Z Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('<source_block>', 26, 1, '_._ = None\n', 26, 2))
2025-08-14T21:39:36.7799033Z 
2025-08-14T21:39:36.7799093Z _._ = None
2025-08-14T21:39:36.7799233Z ^
2025-08-14T21:39:37.3252294Z 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=722.
2025-08-14T21:39:37.3253198Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T21:39:37.3253929Z 
2025-08-14T21:39:37.3254180Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh.
2025-08-14T21:39:37.3254718Z The submesh created consists of the dimensions and the communicators indicated by
2025-08-14T21:39:37.3255048Z ``mesh_dim_names``
2025-08-14T21:39:37.3255150Z 
2025-08-14T21:39:37.3255215Z Args:
2025-08-14T21:39:37.3255479Z     mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the
2025-08-14T21:39:37.3255843Z     mesh dimension of the DeviceMesh to create the submesh for.
2025-08-14T21:39:37.3256114Z Returns:
2025-08-14T21:39:37.3256275Z     A :class:`DeviceMesh` object
2025-08-14T21:39:37.3256408Z 
2025-08-14T21:39:37.3256611Z The following program runs on each process/rank in an SPMD manner in a world size of 8.
2025-08-14T21:39:37.3256959Z In the first example:
2025-08-14T21:39:37.3257401Z     Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]).
2025-08-14T21:39:37.3257839Z     Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of  DeviceMesh:([4, 5, 6, 7]).
2025-08-14T21:39:37.3258236Z     Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of  DeviceMesh:([0, 4]).
2025-08-14T21:39:37.3258613Z     Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of  DeviceMesh:([1, 5]).
2025-08-14T21:39:37.3259000Z     Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of  DeviceMesh:([2, 6]).
2025-08-14T21:39:37.3259385Z     Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of  DeviceMesh:([3, 7]).
2025-08-14T21:39:37.3259611Z 
2025-08-14T21:39:37.3259691Z In the second example:
2025-08-14T21:39:37.3259985Z     Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]).
2025-08-14T21:39:37.3260428Z     Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]).
2025-08-14T21:39:37.3260852Z     Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]).
2025-08-14T21:39:37.3261270Z     Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]).
2025-08-14T21:39:37.3261523Z 
2025-08-14T21:39:37.3261630Z Example::
2025-08-14T21:39:37.3261725Z 
2025-08-14T21:39:37.3261801Z     >>> # xdoctest: +SKIP("no rank")
2025-08-14T21:39:37.3262069Z     >>> from torch.distributed.device_mesh import DeviceMesh
2025-08-14T21:39:37.3262326Z     >>>
2025-08-14T21:39:37.3262563Z     >>> # Initialize a 2D device mesh as (2, 4) to represent the topology
2025-08-14T21:39:37.3262878Z     >>> # of cross-host(dim 0), and within-host (dim 1).
2025-08-14T21:39:37.3263227Z     >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-08-14T21:39:37.3263564Z     >>> tp_mesh = mesh_2d["tp"]
2025-08-14T21:39:37.3263763Z     >>> dp_mesh = mesh_2d["dp"]
2025-08-14T21:39:37.3263961Z     >>>
2025-08-14T21:39:37.3264112Z     >>> # Initialize a 3D mesh.
2025-08-14T21:39:37.3264447Z     >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp"))
2025-08-14T21:39:37.3264931Z     >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh.
2025-08-14T21:39:37.3265288Z     >>> dp_cp_mesh = mesh_3d["dp", "cp"]
2025-08-14T21:39:37.3265514Z     >>> cp_dp_mesh = mesh_3d["cp", "dp"]
2025-08-14T21:39:37.3265655Z 
2025-08-14T21:39:37.3266126Z 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))
2025-08-14T21:39:37.3266658Z 
2025-08-14T21:39:37.3266843Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-08-14T21:39:37.3267176Z                                                                                  ^
2025-08-14T21:39:37.5798824Z 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.
2025-08-14T21:39:37.5799957Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T21:39:37.5800294Z 
2025-08-14T21:39:37.5800550Z Abstract class defining the protocol used by save_state_dict to plan the save process.
2025-08-14T21:39:37.5800904Z 
2025-08-14T21:39:37.5801177Z SavePlanners are stateful objects that can be used to customize the whole save process.
2025-08-14T21:39:37.5801544Z 
2025-08-14T21:39:37.5801779Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-08-14T21:39:37.5802336Z will be visible to the whole process.
2025-08-14T21:39:37.5802532Z 
2025-08-14T21:39:37.5802780Z A planner subclass can expect the following sequence of calls during save_state_dict:
2025-08-14T21:39:37.5803115Z 
2025-08-14T21:39:37.5803401Z 1) set_up_planner - called on all ranks.
2025-08-14T21:39:37.5803731Z     Signals the start of a checkpoint save.
2025-08-14T21:39:37.5803949Z 
2025-08-14T21:39:37.5804055Z 2) create_local_plan - called on all ranks.
2025-08-14T21:39:37.5804491Z     Process the state_dict and produces a `SavePlan` that will be sent for global planning.
2025-08-14T21:39:37.5804774Z 
2025-08-14T21:39:37.5804915Z 3) create_global_plan - called on the coordinator rank only.
2025-08-14T21:39:37.5805253Z     Takes the SavePlan from all ranks and make any global decision.
2025-08-14T21:39:37.5805471Z 
2025-08-14T21:39:37.5805554Z 4) finish_plan - called on all ranks.
2025-08-14T21:39:37.5805853Z     This gives each rank a chance to adjust to global planning decisions.
2025-08-14T21:39:37.5806083Z 
2025-08-14T21:39:37.5806195Z 5) resolve_data - called multiple times on each rank
2025-08-14T21:39:37.5806533Z     Lookups a value on the `state_dict` for the storage layer to write.
2025-08-14T21:39:37.5806758Z 
2025-08-14T21:39:37.5806970Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as
2025-08-14T21:39:37.5807391Z most changes can be expressed by changes in a single method.
2025-08-14T21:39:37.5807592Z 
2025-08-14T21:39:37.5807678Z There are 3 usual patterns of extension:
2025-08-14T21:39:37.5807838Z 
2025-08-14T21:39:37.5808017Z Rewriting state_dict. This is the simplest way to extend the save process as it
2025-08-14T21:39:37.5808431Z doesn't requite understanding the intrincacies of how SavePlan works:
2025-08-14T21:39:37.5808661Z 
2025-08-14T21:39:37.5808751Z >>> # xdoctest: +SKIP("undefined vars")
2025-08-14T21:39:37.5809004Z >>> class RenamePlanner(DefaultSavePlanner):
2025-08-14T21:39:37.5809249Z >>>     def set_up_planner(
2025-08-14T21:39:37.5809449Z >>>         self,
2025-08-14T21:39:37.5809627Z >>>         state_dict: STATE_DICT_TYPE,
2025-08-14T21:39:37.5809874Z >>>         storage_meta: Optional[StorageMeta],
2025-08-14T21:39:37.5810127Z >>>         is_coordinator: bool,
2025-08-14T21:39:37.5810325Z >>>     ) -> None:
2025-08-14T21:39:37.5810516Z >>> # prefix all keys with `foo_``
2025-08-14T21:39:37.5810863Z >>>         super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator)
2025-08-14T21:39:37.5811159Z 
2025-08-14T21:39:37.5811400Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted
2025-08-14T21:39:37.5811921Z 
2025-08-14T21:39:37.5812020Z >>> # xdoctest: +SKIP("undefined vars")
2025-08-14T21:39:37.5812267Z >>> class FP16Planner(DefaultSavePlanner):
2025-08-14T21:39:37.5812520Z >>>     def create_local_plan(self):
2025-08-14T21:39:37.5812746Z >>>         plan = super().create_local_plan()
2025-08-14T21:39:37.5812973Z >>>         for p in plan:
2025-08-14T21:39:37.5813179Z >>>             if p.tensor_data is not None:
2025-08-14T21:39:37.5813446Z >>>                 p.tensor_data.properties.dtype = torch.float16
2025-08-14T21:39:37.5813705Z >>>         return plan
2025-08-14T21:39:37.5813871Z >>>
2025-08-14T21:39:37.5814044Z >>>     def resolve_data(self, write_item):
2025-08-14T21:39:37.5814285Z >>>         item = super().resolve_data(write_item)
2025-08-14T21:39:37.5814798Z >>>         return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16)
2025-08-14T21:39:37.5815074Z 
2025-08-14T21:39:37.5815311Z Using the global planning step to make central decisions that can't be made individually by each rank
2025-08-14T21:39:37.5815626Z 
2025-08-14T21:39:37.5815715Z >>> # xdoctest: +SKIP("undefined vars")
2025-08-14T21:39:37.5815944Z >>> from itertools import zip_longest
2025-08-14T21:39:37.5816165Z >>> from dataclasses import replace
2025-08-14T21:39:37.5816430Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner):
2025-08-14T21:39:37.5816822Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0
2025-08-14T21:39:37.5817187Z >>> # This sample doesn't handle ShardedTensors
2025-08-14T21:39:37.5817580Z >>>     def create_global_plan(self, all_plans):
2025-08-14T21:39:37.5818014Z >>>         iters = [iter(all_plans[0].items)] * len(all_plans)
2025-08-14T21:39:37.5818365Z >>>         items_per_rank = [
2025-08-14T21:39:37.5818653Z >>>             [item for item in items if item is not None]
2025-08-14T21:39:37.5818938Z >>>             for items in zip(*zip_longest(*iters), strict=True)
2025-08-14T21:39:37.5819182Z >>>         ]
2025-08-14T21:39:37.5819340Z >>>         all_plans = [
2025-08-14T21:39:37.5819541Z >>>             replace(plan, items=items)
2025-08-14T21:39:37.5819816Z >>>             for plan, items in zip(all_plans, items_per_rank, strict=True)
2025-08-14T21:39:37.5820103Z >>>         ]
2025-08-14T21:39:37.5820297Z >>>         return super().create_global_plan(all_plans)
2025-08-14T21:39:37.5820473Z 
2025-08-14T21:39:37.5820671Z Finally, some planners need to save additional metadata in the checkpoint, this is
2025-08-14T21:39:37.5821116Z accomplished by having each rank contribute their data items in the local plan and
2025-08-14T21:39:37.5821463Z the global planner aggregate them:
2025-08-14T21:39:37.5821611Z 
2025-08-14T21:39:37.5821702Z >>> # xdoctest: +SKIP("undefined vars")
2025-08-14T21:39:37.5821972Z >>> class SaveExtraDataPlanner(DefaultSavePlanner):
2025-08-14T21:39:37.5822266Z >>>     def create_local_plan(self) -> SavePlan:
2025-08-14T21:39:37.5822520Z >>>         plan = super().create_local_plan()
2025-08-14T21:39:37.5822801Z >>>         return replace(plan, planner_data="per-rank-data")
2025-08-14T21:39:37.5823049Z >>>
2025-08-14T21:39:37.5823349Z >>>     def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]:
2025-08-14T21:39:37.5823780Z >>>         global_plan, metadata = super().create_global_plan(all_plans)
2025-08-14T21:39:37.5824104Z >>>         merged_data = [p.planner_data for p in global_plan]
2025-08-14T21:39:37.5824421Z >>>         metadata = replace(metadata, planner_data=merged_data)
2025-08-14T21:39:37.5824698Z >>>         return global_plan, metadata
2025-08-14T21:39:37.5824850Z 
2025-08-14T21:39:37.5825226Z Original Error: IndentationError('expected an indented block after function definition on line 3', ('<source_block>', 9, 0, '_._ = None\n', 9, -1))
2025-08-14T21:39:37.5825668Z 
2025-08-14T21:39:37.5825728Z _._ = None
2025-08-14T21:39:37.5825874Z ^
2025-08-14T21:39:37.5826382Z 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.
2025-08-14T21:39:37.5827039Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T21:39:37.5827316Z 
2025-08-14T21:39:37.5827512Z Abstract class defining the protocol used by load_state_dict to plan the load process.
2025-08-14T21:39:37.5827794Z 
2025-08-14T21:39:37.5827987Z LoadPlanner are stateful objects that can be used to customize the whole load process.
2025-08-14T21:39:37.5828265Z 
2025-08-14T21:39:37.5828463Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-08-14T21:39:37.5828845Z will be visible to the whole process.
2025-08-14T21:39:37.5829000Z 
2025-08-14T21:39:37.5829190Z A planner subclass can expect the following sequence of calls during load_state_dict:
2025-08-14T21:39:37.5829565Z 
2025-08-14T21:39:37.5829654Z 1) set_up_planner - called on all ranks.
2025-08-14T21:39:37.5829908Z     Signals the start of loading a checkpoint.
2025-08-14T21:39:37.5830073Z 
2025-08-14T21:39:37.5830163Z 2) create_local_plan - called on all ranks.
2025-08-14T21:39:37.5830520Z     Process the state_dict and produces a `LoadPlan` that will be sent for global planning.
2025-08-14T21:39:37.5830803Z 
2025-08-14T21:39:37.5830942Z 3) create_global_plan - called on the coordinator rank only.
2025-08-14T21:39:37.5831286Z     Takes the LoadPlan from all ranks and make any global decision.
2025-08-14T21:39:37.5831502Z 
2025-08-14T21:39:37.5831607Z 4) load_bytes - called multiple times on each rank
2025-08-14T21:39:37.5831896Z     This is called once per non-tensor value in state_dict.
2025-08-14T21:39:37.5832093Z 
2025-08-14T21:39:37.5832417Z 5) resolve_tensor and commit_tensor - called multiple times on each rank
2025-08-14T21:39:37.5832799Z     They are called in pair for each Tensor value in state_dict.
2025-08-14T21:39:37.5833005Z 
2025-08-14T21:39:37.5833217Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as
2025-08-14T21:39:37.5833623Z most changes can be expressed by changes in a single method.
2025-08-14T21:39:37.5833828Z 
2025-08-14T21:39:37.5833918Z There are two usual patterns of extension:
2025-08-14T21:39:37.5834078Z 
2025-08-14T21:39:37.5834271Z Rewriting state_dict. This is the simplest way to extend the load process as it
2025-08-14T21:39:37.5834708Z doesn't requite understanding the intrincacies of how LoadPlan works. We need
2025-08-14T21:39:37.5835113Z to keep a reference to the original state_dict as load happens in place so
2025-08-14T21:39:37.5835435Z we need to be able to perform it in place
2025-08-14T21:39:37.5835595Z 
2025-08-14T21:39:37.5835688Z >>> # xdoctest: +SKIP("undefined vars")
2025-08-14T21:39:37.5835934Z >>> class RenamePlanner(DefaultLoadPlanner):
2025-08-14T21:39:37.5836189Z >>>     def set_up_planner(
2025-08-14T21:39:37.5836388Z >>>         self,
2025-08-14T21:39:37.5836566Z >>>         state_dict: STATE_DICT_TYPE,
2025-08-14T21:39:37.5836786Z >>>         metadata: Metadata,
2025-08-14T21:39:37.5836992Z >>>         is_coordinator: bool,
2025-08-14T21:39:37.5837188Z >>>     ) -> None:
2025-08-14T21:39:37.5837374Z >>>         self.original_state_dict = state_dict
2025-08-14T21:39:37.5837666Z >>>         state_dict = {"foo_" + k: v for k, v in state_dict.items()}
2025-08-14T21:39:37.5837933Z >>>
2025-08-14T21:39:37.5838098Z >>>         if self.flatten_sharded_tensors:
2025-08-14T21:39:37.5838359Z >>>             state_dict = _flatten_sharded_tensors(state_dict)
2025-08-14T21:39:37.5838607Z >>>
2025-08-14T21:39:37.5838764Z >>>         if self.flatten_state_dict:
2025-08-14T21:39:37.5839050Z >>>             state_dict, self.mappings = flatten_state_dict(state_dict)
2025-08-14T21:39:37.5839326Z >>>
2025-08-14T21:39:37.5839473Z >>>         self.state_dict = state_dict
2025-08-14T21:39:37.5839705Z >>>         self.metadata = metadata
2025-08-14T21:39:37.5839928Z >>>         self.is_coordinator = is_coordinator
2025-08-14T21:39:37.5840139Z >>>
2025-08-14T21:39:37.5840304Z >>>     def load_bytes(self, read_item, value):
2025-08-14T21:39:37.5840536Z >>> # Remove the "foo_" prefix
2025-08-14T21:39:37.5840879Z >>>         self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False)
2025-08-14T21:39:37.5841190Z 
2025-08-14T21:39:37.5841193Z 
2025-08-14T21:39:37.5841369Z Modifying resolve_tensor and commit_tensor to handle load time transformation.
2025-08-14T21:39:37.5841637Z 
2025-08-14T21:39:37.5841718Z >>> # xdoctest: +SKIP("undefined vars")
2025-08-14T21:39:37.5842068Z >>> class MetaModelMaterialize(DefaultSavePlanner):
2025-08-14T21:39:37.5842340Z >>>     def resolve_tensor(self, read_item):
2025-08-14T21:39:37.5842596Z >>>         tensor = super().resolve_tensor(read_item)
2025-08-14T21:39:37.5842867Z >>>         return torch.empty_like(tensor, device="cpu")
2025-08-14T21:39:37.5843200Z >>>
2025-08-14T21:39:37.5843361Z >>>     def commit_tensor(self, read_item, tensor):
2025-08-14T21:39:37.5843637Z >>>         self.state_dict[read_item.dest_index.fqn] = tensor
2025-08-14T21:39:37.5843822Z 
2025-08-14T21:39:37.5844204Z Original Error: IndentationError('expected an indented block after function definition on line 22', ('<source_block>', 23, 0, '_._ = None\n', 23, -1))
2025-08-14T21:39:37.5844641Z 
2025-08-14T21:39:37.5844702Z _._ = None
2025-08-14T21:39:37.5844847Z ^
2025-08-14T21:39:37.8962115Z 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.
2025-08-14T21:39:37.8963028Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T21:39:37.8963352Z 
2025-08-14T21:39:37.8963889Z ``FullStateDictConfig`` is a config class meant to be used with
2025-08-14T21:39:37.8964371Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both
2025-08-14T21:39:37.8964835Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state
2025-08-14T21:39:37.8965210Z dicts to save GPU memory and CPU memory, respectively. This config class
2025-08-14T21:39:37.8965577Z is meant to be used via the :func:`state_dict_type` context manager as
2025-08-14T21:39:37.8965875Z follows:
2025-08-14T21:39:37.8965963Z 
2025-08-14T21:39:37.8966068Z     >>> # xdoctest: +SKIP("undefined variables")
2025-08-14T21:39:37.8966404Z     >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-08-14T21:39:37.8966741Z     >>> fsdp = FSDP(model, auto_wrap_policy=...)
2025-08-14T21:39:37.8967053Z     >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True)
2025-08-14T21:39:37.8967430Z     >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg):
2025-08-14T21:39:37.8967738Z     >>>     state = fsdp.state_dict()
2025-08-14T21:39:37.8968041Z     >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0.
2025-08-14T21:39:37.8968458Z     >>> # To reload checkpoint for inference, finetuning, transfer learning, etc:
2025-08-14T21:39:37.8968862Z     >>> model = model_fn()  # Initialize model in preparation for wrapping with FSDP
2025-08-14T21:39:37.8969189Z     >>> if dist.get_rank() == 0:
2025-08-14T21:39:37.8976758Z     >>> # Load checkpoint only on rank 0 to avoid memory redundancy
2025-08-14T21:39:37.8977159Z     >>>     state_dict = torch.load("my_checkpoint.pt")
2025-08-14T21:39:37.8977447Z     >>>     model.load_state_dict(state_dict)
2025-08-14T21:39:37.8977803Z     >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument
2025-08-14T21:39:37.8978249Z     >>> # communicates loaded checkpoint states from rank 0 to rest of the world.
2025-08-14T21:39:37.8978567Z     >>> fsdp = FSDP(
2025-08-14T21:39:37.8978749Z     ...     model,
2025-08-14T21:39:37.8978953Z     ...     device_id=torch.cuda.current_device(),
2025-08-14T21:39:37.8979201Z     ...     auto_wrap_policy=...,
2025-08-14T21:39:37.8979432Z     ...     sync_module_states=True,
2025-08-14T21:39:37.8979636Z     ... )
2025-08-14T21:39:37.8979875Z     >>> # After this point, all ranks have FSDP model with loaded checkpoint.
2025-08-14T21:39:37.8980118Z 
2025-08-14T21:39:37.8980183Z Attributes:
2025-08-14T21:39:37.8980427Z     rank0_only (bool): If ``True``, then only rank 0 saves the full state
2025-08-14T21:39:37.8980796Z         dict, and nonzero ranks save an empty dict. If ``False``, then all
2025-08-14T21:39:37.8981123Z         ranks save the full state dict. (Default: ``False``)
2025-08-14T21:39:37.8981318Z 
2025-08-14T21:39:37.8981664Z Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('<source_block>', 11, 1, '_._ = None\n', 11, 2))
2025-08-14T21:39:37.8982077Z 
2025-08-14T21:39:37.8982137Z _._ = None
2025-08-14T21:39:37.8982280Z ^
2025-08-14T21:39:39.4999410Z 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.
2025-08-14T21:39:39.5000715Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T21:39:39.5001185Z Register a parametrization to a tensor in a module.
2025-08-14T21:39:39.5001427Z 
2025-08-14T21:39:39.5001675Z     Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``,
2025-08-14T21:39:39.5002344Z     the module will return the parametrized version ``parametrization(module.weight)``.
2025-08-14T21:39:39.5002933Z     If the original tensor requires a gradient, the backward pass will differentiate
2025-08-14T21:39:39.5003515Z     through :attr:`parametrization`, and the optimizer will update the tensor accordingly.
2025-08-14T21:39:39.5003862Z 
2025-08-14T21:39:39.5004139Z     The first time that a module registers a parametrization, this function will add an attribute
2025-08-14T21:39:39.5004896Z     ``parametrizations`` to the module of type :class:`~ParametrizationList`.
2025-08-14T21:39:39.5005234Z 
2025-08-14T21:39:39.5005426Z     The list of parametrizations on the tensor ``weight`` will be accessible under
2025-08-14T21:39:39.5005774Z     ``module.parametrizations.weight``.
2025-08-14T21:39:39.5005939Z 
2025-08-14T21:39:39.5006046Z     The original tensor will be accessible under
2025-08-14T21:39:39.5006314Z     ``module.parametrizations.weight.original``.
2025-08-14T21:39:39.5006493Z 
2025-08-14T21:39:39.5006671Z     Parametrizations may be concatenated by registering several parametrizations
2025-08-14T21:39:39.5007011Z     on the same attribute.
2025-08-14T21:39:39.5007135Z 
2025-08-14T21:39:39.5007312Z     The training mode of a registered parametrization is updated on registration
2025-08-14T21:39:39.5007650Z     to match the training mode of the host module
2025-08-14T21:39:39.5007823Z 
2025-08-14T21:39:39.5008038Z     Parametrized parameters and buffers have an inbuilt caching system that can be activated
2025-08-14T21:39:39.5008434Z     using the context manager :func:`cached`.
2025-08-14T21:39:39.5008601Z 
2025-08-14T21:39:39.5008771Z     A :attr:`parametrization` may optionally implement a method with signature
2025-08-14T21:39:39.5009019Z 
2025-08-14T21:39:39.5011281Z     .. code-block:: python
2025-08-14T21:39:39.5011443Z 
2025-08-14T21:39:39.5011614Z         def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]]
2025-08-14T21:39:39.5012121Z 
2025-08-14T21:39:39.5012336Z     This method is called on the unparametrized tensor when the first parametrization
2025-08-14T21:39:39.5012760Z     is registered to compute the initial value of the original tensor.
2025-08-14T21:39:39.5013212Z     If this method is not implemented, the original tensor will be just the unparametrized tensor.
2025-08-14T21:39:39.5013510Z 
2025-08-14T21:39:39.5013736Z     If all the parametrizations registered on a tensor implement `right_inverse` it is possible
2025-08-14T21:39:39.5014251Z     to initialize a parametrized tensor by assigning to it, as shown in the example below.
2025-08-14T21:39:39.5014531Z 
2025-08-14T21:39:39.5014698Z     It is possible for the first parametrization to depend on several inputs.
2025-08-14T21:39:39.5015124Z     This may be implemented returning a tuple of tensors from ``right_inverse``
2025-08-14T21:39:39.5015566Z     (see the example implementation of a ``RankOne`` parametrization below).
2025-08-14T21:39:39.5015807Z 
2025-08-14T21:39:39.5016041Z     In this case, the unconstrained tensors are also located under ``module.parametrizations.weight``
2025-08-14T21:39:39.5016446Z     with names ``original0``, ``original1``,...
2025-08-14T21:39:39.5016608Z 
2025-08-14T21:39:39.5016685Z     .. note::
2025-08-14T21:39:39.5016833Z 
2025-08-14T21:39:39.5017025Z         If unsafe=False (default) both the forward and right_inverse methods will be called
2025-08-14T21:39:39.5017404Z         once to perform a number of consistency checks.
2025-08-14T21:39:39.5017777Z         If unsafe=True, then right_inverse will be called if the tensor is not parametrized,
2025-08-14T21:39:39.5018121Z         and nothing will be called otherwise.
2025-08-14T21:39:39.5018503Z 
2025-08-14T21:39:39.5018606Z     .. note::
2025-08-14T21:39:39.5018694Z 
2025-08-14T21:39:39.5018844Z         In most situations, ``right_inverse`` will be a function such that
2025-08-14T21:39:39.5019143Z         ``forward(right_inverse(X)) == X`` (see
2025-08-14T21:39:39.5019524Z         `right inverse <https://en.wikipedia.org/wiki/Inverse_function#Right_inverses>`_).
2025-08-14T21:39:39.5019979Z         Sometimes, when the parametrization is not surjective, it may be reasonable
2025-08-14T21:39:39.5020307Z         to relax this.
2025-08-14T21:39:39.5020415Z 
2025-08-14T21:39:39.5020482Z     .. warning::
2025-08-14T21:39:39.5020586Z 
2025-08-14T21:39:39.5020777Z         If a parametrization depends on several inputs, :func:`~register_parametrization`
2025-08-14T21:39:39.5021348Z         will register a number of new parameters. If such parametrization is registered
2025-08-14T21:39:39.5021811Z         after the optimizer is created, these new parameters will need to be added manually
2025-08-14T21:39:39.5022219Z         to the optimizer. See :meth:`torch.Optimizer.add_param_group`.
2025-08-14T21:39:39.5022441Z 
2025-08-14T21:39:39.5022501Z     Args:
2025-08-14T21:39:39.5022742Z         module (nn.Module): module on which to register the parametrization
2025-08-14T21:39:39.5023113Z         tensor_name (str): name of the parameter or buffer on which to register
2025-08-14T21:39:39.5023413Z             the parametrization
2025-08-14T21:39:39.5023695Z         parametrization (nn.Module): the parametrization to register
2025-08-14T21:39:39.5023986Z     Keyword args:
2025-08-14T21:39:39.5024244Z         unsafe (bool): a boolean flag that denotes whether the parametrization
2025-08-14T21:39:39.5024609Z             may change the dtype and shape of the tensor. Default: `False`
2025-08-14T21:39:39.5025018Z             Warning: the parametrization is not checked for consistency upon registration.
2025-08-14T21:39:39.5025360Z             Enable this flag at your own risk.
2025-08-14T21:39:39.5025525Z 
2025-08-14T21:39:39.5025585Z     Raises:
2025-08-14T21:39:39.5025872Z         ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name`
2025-08-14T21:39:39.5026157Z 
2025-08-14T21:39:39.5026230Z     Examples:
2025-08-14T21:39:39.5026430Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK)
2025-08-14T21:39:39.5026682Z         >>> import torch
2025-08-14T21:39:39.5026881Z         >>> import torch.nn as nn
2025-08-14T21:39:39.5027118Z         >>> import torch.nn.utils.parametrize as P
2025-08-14T21:39:39.5027361Z         >>>
2025-08-14T21:39:39.5027530Z         >>> class Symmetric(nn.Module):
2025-08-14T21:39:39.5027751Z         >>>     def forward(self, X):
2025-08-14T21:39:39.5028015Z         >>>         return X.triu() + X.triu(1).T  # Return a symmetric matrix
2025-08-14T21:39:39.5028279Z         >>>
2025-08-14T21:39:39.5028445Z         >>>     def right_inverse(self, A):
2025-08-14T21:39:39.5028671Z         >>>         return A.triu()
2025-08-14T21:39:39.5028888Z         >>>
2025-08-14T21:39:39.5029040Z         >>> m = nn.Linear(5, 5)
2025-08-14T21:39:39.5029292Z         >>> P.register_parametrization(m, "weight", Symmetric())
2025-08-14T21:39:39.5029657Z         >>> print(torch.allclose(m.weight, m.weight.T))  # m.weight is now symmetric
2025-08-14T21:39:39.5029985Z         True
2025-08-14T21:39:39.5030154Z         >>> A = torch.rand(5, 5)
2025-08-14T21:39:39.5030366Z         >>> A = A + A.T  # A is now symmetric
2025-08-14T21:39:39.5030653Z         >>> m.weight = A  # Initialize the weight to be the symmetric matrix A
2025-08-14T21:39:39.5030952Z         >>> print(torch.allclose(m.weight, A))
2025-08-14T21:39:39.5031172Z         True
2025-08-14T21:39:39.5031256Z 
2025-08-14T21:39:39.5031339Z         >>> class RankOne(nn.Module):
2025-08-14T21:39:39.5031555Z         >>>     def forward(self, x, y):
2025-08-14T21:39:39.5031812Z         >>> # Form a rank 1 matrix multiplying two vectors
2025-08-14T21:39:39.5032098Z         >>>         return x.unsqueeze(-1) @ y.unsqueeze(-2)
2025-08-14T21:39:39.5032411Z         >>>
2025-08-14T21:39:39.5032577Z         >>>     def right_inverse(self, Z):
2025-08-14T21:39:39.5032819Z         >>> # Project Z onto the rank 1 matrices
2025-08-14T21:39:39.5033086Z         >>>         U, S, Vh = torch.linalg.svd(Z, full_matrices=False)
2025-08-14T21:39:39.5033361Z         >>> # Return rescaled singular vectors
2025-08-14T21:39:39.5033596Z         >>>         s0_sqrt = S[0].sqrt().unsqueeze(-1)
2025-08-14T21:39:39.5033866Z         >>>         return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt
2025-08-14T21:39:39.5034103Z         >>>
2025-08-14T21:39:39.5034293Z         >>> linear_rank_one = P.register_parametrization(
2025-08-14T21:39:39.5034566Z         ...     nn.Linear(4, 4), "weight", RankOne()
2025-08-14T21:39:39.5034789Z         ... )
2025-08-14T21:39:39.5035081Z         >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item())
2025-08-14T21:39:39.5035364Z         1
2025-08-14T21:39:39.5035453Z 
2025-08-14T21:39:39.5035531Z     
2025-08-14T21:39:39.5035985Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('<source_block>', 3, 0, '_._ = None\n', 3, -1))
2025-08-14T21:39:39.5036431Z 
2025-08-14T21:39:39.5036490Z _._ = None
2025-08-14T21:39:39.5036640Z ^
2025-08-14T21:39:39.5852031Z 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.
2025-08-14T21:39:39.5852895Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T21:39:39.5853375Z Reduce learning rate when a metric has stopped improving.
2025-08-14T21:39:39.5853645Z 
2025-08-14T21:39:39.5853837Z     Models often benefit from reducing the learning rate by a factor
2025-08-14T21:39:39.5854277Z     of 2-10 once learning stagnates. This scheduler reads a metrics
2025-08-14T21:39:39.5854713Z     quantity and if no improvement is seen for a 'patience' number
2025-08-14T21:39:39.5855101Z     of epochs, the learning rate is reduced.
2025-08-14T21:39:39.5855295Z 
2025-08-14T21:39:39.5855366Z     Args:
2025-08-14T21:39:39.5855545Z         optimizer (Optimizer): Wrapped optimizer.
2025-08-14T21:39:39.5855832Z         mode (str): One of `min`, `max`. In `min` mode, lr will
2025-08-14T21:39:39.5856137Z             be reduced when the quantity monitored has stopped
2025-08-14T21:39:39.5856440Z             decreasing; in `max` mode it will be reduced when the
2025-08-14T21:39:39.5856764Z             quantity monitored has stopped increasing. Default: 'min'.
2025-08-14T21:39:39.5857097Z         factor (float): Factor by which the learning rate will be
2025-08-14T21:39:39.5857412Z             reduced. new_lr = lr * factor. Default: 0.1.
2025-08-14T21:39:39.5857741Z         patience (int): The number of allowed epochs with no improvement after
2025-08-14T21:39:39.5858068Z             which the learning rate will be reduced.
2025-08-14T21:39:39.5858394Z             For example, consider the case of having no patience (`patience = 0`).
2025-08-14T21:39:39.5858896Z             In the first epoch, a baseline is established and is always considered good as there's no previous baseline.
2025-08-14T21:39:39.5859379Z             In the second epoch, if the performance is worse than the baseline,
2025-08-14T21:39:39.5859727Z             we have what is considered an intolerable epoch.
2025-08-14T21:39:39.5860092Z             Since the count of intolerable epochs (1) is greater than the patience level (0),
2025-08-14T21:39:39.5860472Z             the learning rate is reduced at the end of this epoch.
2025-08-14T21:39:39.5860899Z             From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch
2025-08-14T21:39:39.5861420Z             if the performance is worse than the baseline. If the performance improves or remains the same,
2025-08-14T21:39:39.5861801Z             the learning rate is not adjusted.
2025-08-14T21:39:39.5862036Z             Default: 10.
2025-08-14T21:39:39.5862466Z         threshold (float): Threshold for measuring the new optimum,
2025-08-14T21:39:39.5862787Z             to only focus on significant changes. Default: 1e-4.
2025-08-14T21:39:39.5863095Z         threshold_mode (str): One of `rel`, `abs`. In `rel` mode,
2025-08-14T21:39:39.5863410Z             dynamic_threshold = best * ( 1 + threshold ) in 'max'
2025-08-14T21:39:39.5863704Z             mode or best * ( 1 - threshold ) in `min` mode.
2025-08-14T21:39:39.5863998Z             In `abs` mode, dynamic_threshold = best + threshold in
2025-08-14T21:39:39.5864307Z             `max` mode or best - threshold in `min` mode. Default: 'rel'.
2025-08-14T21:39:39.5864653Z         cooldown (int): Number of epochs to wait before resuming
2025-08-14T21:39:39.5864977Z             normal operation after lr has been reduced. Default: 0.
2025-08-14T21:39:39.5865397Z         min_lr (float or list): A scalar or a list of scalars. A
2025-08-14T21:39:39.5865709Z             lower bound on the learning rate of all param groups
2025-08-14T21:39:39.5865998Z             or each group respectively. Default: 0.
2025-08-14T21:39:39.5866299Z         eps (float): Minimal decay applied to lr. If the difference
2025-08-14T21:39:39.5866618Z             between new and old lr is smaller than eps, the update is
2025-08-14T21:39:39.5866901Z             ignored. Default: 1e-8.
2025-08-14T21:39:39.5867037Z 
2025-08-14T21:39:39.5867120Z     Example:
2025-08-14T21:39:39.5867282Z         >>> # xdoctest: +SKIP
2025-08-14T21:39:39.5867575Z         >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9)
2025-08-14T21:39:39.5867923Z         >>> scheduler = ReduceLROnPlateau(optimizer, "min")
2025-08-14T21:39:39.5868184Z         >>> for epoch in range(10):
2025-08-14T21:39:39.5868396Z         >>>     train(...)
2025-08-14T21:39:39.5868597Z         >>>     val_loss = validate(...)
2025-08-14T21:39:39.5868857Z         >>> # Note that step should be called after validate()
2025-08-14T21:39:39.5869113Z         >>>     scheduler.step(val_loss)
2025-08-14T21:39:39.5869267Z 
2025-08-14T21:39:39.5869425Z     .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png
2025-08-14T21:39:39.5869702Z     
2025-08-14T21:39:39.5870066Z Original Error: IndentationError('unexpected indent', ('<source_block>', 8, 4, '    scheduler.step(val_loss)\n', 8, -1))
2025-08-14T21:39:39.5870430Z 
2025-08-14T21:39:39.5870508Z     scheduler.step(val_loss)
2025-08-14T21:39:39.5870705Z    ^
2025-08-14T21:39:42.2944692Z gathering tests
2025-08-14T21:39:42.2958729Z running 863 test(s)
2025-08-14T21:39:42.2965600Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::typename:0, line 1082 <- wrt source file
2025-08-14T21:39:42.2973235Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::typename:0
2025-08-14T21:39:42.2974300Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_tensor:0, line 1118 <- wrt source file
2025-08-14T21:39:42.2977162Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_tensor:0
2025-08-14T21:39:42.2978242Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_device:0, line 1203 <- wrt source file
2025-08-14T21:39:42.2979629Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_device:0
2025-08-14T21:39:42.2980801Z * 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
2025-08-14T21:39:42.2981830Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_tensor_type:0
2025-08-14T21:39:42.2982677Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_dtype:0, line 1289 <- wrt source file
2025-08-14T21:39:42.2985223Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_dtype:0
2025-08-14T21:39:42.2986779Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::use_deterministic_algorithms:0, line 1444 <- wrt source file
2025-08-14T21:39:42.2987987Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::use_deterministic_algorithms:0
2025-08-14T21:39:42.2988817Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::compile:0, line 2567 <- wrt source file
2025-08-14T21:39:42.2989639Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::compile:0
2025-08-14T21:39:42.2990853Z * 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
2025-08-14T21:39:42.2992092Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0
2025-08-14T21:39:42.2993316Z * 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
2025-08-14T21:39:42.2994798Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::Generator:0
2025-08-14T21:39:42.2995976Z * 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
2025-08-14T21:39:42.2996950Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::_LinAlgError:0
2025-08-14T21:39:42.2997808Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::custom_op:0, line 55 <- wrt source file
2025-08-14T21:39:42.2998610Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::custom_op:0
2025-08-14T21:39:42.2999364Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl:0, line 138 <- wrt source file
2025-08-14T21:39:42.3000120Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl:0
2025-08-14T21:39:42.3000904Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl_abstract:0, line 208 <- wrt source file
2025-08-14T21:39:42.3698093Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl_abstract:0
2025-08-14T21:39:42.3699746Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_namedtensor_internals.py::update_names:0, line 118 <- wrt source file
2025-08-14T21:39:42.3700915Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_namedtensor_internals.py::update_names:0
2025-08-14T21:39:42.3701984Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_hook:0, line 649 <- wrt source file
2025-08-14T21:39:42.3713713Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_hook:0
2025-08-14T21:39:42.3714884Z * 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
2025-08-14T21:39:42.3733007Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0
2025-08-14T21:39:42.3734183Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.refine_names:0, line 1333 <- wrt source file
2025-08-14T21:39:42.3801363Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.refine_names:0
2025-08-14T21:39:42.3802805Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.align_to:0, line 1378 <- wrt source file
2025-08-14T21:39:42.3806454Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.align_to:0
2025-08-14T21:39:42.3807494Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.rename:0, line 1451 <- wrt source file
2025-08-14T21:39:42.3815531Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.rename:0
2025-08-14T21:39:42.3816487Z * 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
2025-08-14T21:39:42.3821574Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0
2025-08-14T21:39:42.3822426Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.dim_order:0, line 1513 <- wrt source file
2025-08-14T21:39:42.3839874Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.dim_order:0
2025-08-14T21:39:42.3840713Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor_str.py::set_printoptions:0, line 53 <- wrt source file
2025-08-14T21:39:42.3855933Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor_str.py::set_printoptions:0
2025-08-14T21:39:42.3857021Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_tensors:0, line 64 <- wrt source file
2025-08-14T21:39:42.3863067Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_tensors:0
2025-08-14T21:39:42.3864158Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_shapes:0, line 92 <- wrt source file
2025-08-14T21:39:42.3866601Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_shapes:0
2025-08-14T21:39:42.3867417Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::split:0, line 193 <- wrt source file
2025-08-14T21:39:42.3879279Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::split:0
2025-08-14T21:39:42.3880083Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::einsum:0, line 307 <- wrt source file
2025-08-14T21:39:42.3897458Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::einsum:0
2025-08-14T21:39:42.3898478Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::meshgrid:0, line 499 <- wrt source file
2025-08-14T21:39:42.3936771Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::meshgrid:0
2025-08-14T21:39:42.3937778Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_impl:0, line 884 <- wrt source file
2025-08-14T21:39:42.3981454Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_impl:0
2025-08-14T21:39:42.3982543Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_consecutive_impl:0, line 1041 <- wrt source file
2025-08-14T21:39:42.3994080Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_consecutive_impl:0
2025-08-14T21:39:42.4005078Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::tensordot:0, line 1316 <- wrt source file
2025-08-14T21:39:42.4006364Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::tensordot:0
2025-08-14T21:39:42.4007417Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cartesian_prod:0, line 1400 <- wrt source file
2025-08-14T21:39:42.4012609Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cartesian_prod:0
2025-08-14T21:39:42.4013670Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::block_diag:0, line 1434 <- wrt source file
2025-08-14T21:39:42.4023546Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::block_diag:0
2025-08-14T21:39:42.4024497Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cdist:0, line 1490 <- wrt source file
2025-08-14T21:39:42.4037673Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cdist:0
2025-08-14T21:39:42.4038475Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_1d:0, line 1531 <- wrt source file
2025-08-14T21:39:42.4055724Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_1d:0
2025-08-14T21:39:42.4056746Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_2d:0, line 1569 <- wrt source file
2025-08-14T21:39:42.4073995Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_2d:0
2025-08-14T21:39:42.4075011Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_3d:0, line 1609 <- wrt source file
2025-08-14T21:39:42.4097340Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_3d:0
2025-08-14T21:39:42.4098350Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::norm:0, line 1784 <- wrt source file
2025-08-14T21:39:42.4132004Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::norm:0
2025-08-14T21:39:42.4133027Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::unravel_index:0, line 1952 <- wrt source file
2025-08-14T21:39:42.4163035Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::unravel_index:0
2025-08-14T21:39:42.4164393Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::chain_matmul:0, line 2052 <- wrt source file
2025-08-14T21:39:42.4165841Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::chain_matmul:0
2025-08-14T21:39:42.4167153Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_lu_impl:0, line 2153 <- wrt source file
2025-08-14T21:39:42.4168560Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_lu_impl:0
2025-08-14T21:39:42.4169806Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::list:0, line 473 <- wrt source file
2025-08-14T21:39:42.4170695Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::list:0
2025-08-14T21:39:42.4171419Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::help:0, line 533 <- wrt source file
2025-08-14T21:39:42.4172139Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::help:0
2025-08-14T21:39:42.4172829Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load:0, line 624 <- wrt source file
2025-08-14T21:39:42.4173525Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load:0
2025-08-14T21:39:42.4174722Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::_load_local:0, line 672 <- wrt source file
2025-08-14T21:39:42.4175500Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::_load_local:0
2025-08-14T21:39:42.4176261Z * 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
2025-08-14T21:39:42.4177061Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::download_url_to_file:0
2025-08-14T21:39:42.4177850Z * 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
2025-08-14T21:39:42.4178858Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load_state_dict_from_url:0
2025-08-14T21:39:42.4179687Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.define:0, line 153 <- wrt source file
2025-08-14T21:39:42.4180509Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.define:0
2025-08-14T21:39:42.4181343Z * 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
2025-08-14T21:39:42.4187050Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library._impl_with_aoti_compile:0
2025-08-14T21:39:42.4188141Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.impl:0, line 307 <- wrt source file
2025-08-14T21:39:42.4191824Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.impl:0
2025-08-14T21:39:42.4192819Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::define:0, line 512 <- wrt source file
2025-08-14T21:39:42.4202747Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::define:0
2025-08-14T21:39:42.4203708Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::impl:0, line 618 <- wrt source file
2025-08-14T21:39:42.4218338Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::impl:0
2025-08-14T21:39:42.4219494Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_kernel:0, line 799 <- wrt source file
2025-08-14T21:39:42.4220502Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_kernel:0
2025-08-14T21:39:42.4221504Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autocast:0, line 867 <- wrt source file
2025-08-14T21:39:42.4222549Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autocast:0
2025-08-14T21:39:42.4223587Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autograd:0, line 1116 <- wrt source file
2025-08-14T21:39:42.4370843Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autograd:0
2025-08-14T21:39:42.4371916Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_torch_dispatch:0, line 1232 <- wrt source file
2025-08-14T21:39:42.4443847Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_torch_dispatch:0
2025-08-14T21:39:42.4444915Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_vmap:0, line 1321 <- wrt source file
2025-08-14T21:39:42.4589618Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_vmap:0
2025-08-14T21:39:42.4590613Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::opcheck:0, line 1646 <- wrt source file
2025-08-14T21:39:42.4591583Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::opcheck:0
2025-08-14T21:39:42.4592575Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_ignored_functions:0, line 116 <- wrt source file
2025-08-14T21:39:42.4596312Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_ignored_functions:0
2025-08-14T21:39:42.4597341Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_testing_overrides:0, line 422 <- wrt source file
2025-08-14T21:39:42.4629136Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_testing_overrides:0
2025-08-14T21:39:42.4630232Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::wrap_torch_function:0, line 1577 <- wrt source file
2025-08-14T21:39:42.4632870Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::wrap_torch_function:0
2025-08-14T21:39:42.4633982Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::handle_torch_function:0, line 1712 <- wrt source file
2025-08-14T21:39:42.4636381Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::handle_torch_function:0
2025-08-14T21:39:42.4637279Z * 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
2025-08-14T21:39:42.4664535Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_method_or_property:0
2025-08-14T21:39:42.4665651Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_like:0, line 1979 <- wrt source file
2025-08-14T21:39:42.4672233Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_like:0
2025-08-14T21:39:42.4673379Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/quasirandom.py::SobolEngine:0, line 39 <- wrt source file
2025-08-14T21:39:42.4674570Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/quasirandom.py::SobolEngine:0
2025-08-14T21:39:42.4675812Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::add_safe_globals:0, line 299 <- wrt source file
2025-08-14T21:39:42.4676848Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::add_safe_globals:0
2025-08-14T21:39:42.4677732Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::safe_globals:0, line 324 <- wrt source file
2025-08-14T21:39:42.4678569Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::safe_globals:0
2025-08-14T21:39:42.4679404Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::skip_data:0, line 400 <- wrt source file
2025-08-14T21:39:42.4680220Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::skip_data:0
2025-08-14T21:39:42.4681050Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::register_package:0, line 472 <- wrt source file
2025-08-14T21:39:42.4683165Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::register_package:0
2025-08-14T21:39:42.4684185Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::save:0, line 950 <- wrt source file
2025-08-14T21:39:42.4685008Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::save:0
2025-08-14T21:39:42.4685780Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::load:0, line 1363 <- wrt source file
2025-08-14T21:39:42.4688315Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::load:0
2025-08-14T21:39:42.4689304Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/torch_version.py::TorchVersion:0, line 19 <- wrt source file
2025-08-14T21:39:42.4690304Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/torch_version.py::TorchVersion:0
2025-08-14T21:39:42.4691200Z * 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
2025-08-14T21:39:42.4692284Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_mode_options:0
2025-08-14T21:39:42.4693156Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_options:0, line 357 <- wrt source file
2025-08-14T21:39:42.4704615Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_options:0
2025-08-14T21:39:42.4705813Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0, line 1858 <- wrt source file
2025-08-14T21:39:42.4710390Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0
2025-08-14T21:39:42.4711633Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::current_accelerator:0, line 113 <- wrt source file
2025-08-14T21:39:42.5682016Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::current_accelerator:0
2025-08-14T21:39:42.5683459Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::device_index:0, line 249 <- wrt source file
2025-08-14T21:39:42.5684638Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::device_index:0
2025-08-14T21:39:42.5685712Z * 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
2025-08-14T21:39:42.5686737Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::allow_in_graph:0
2025-08-14T21:39:42.5687625Z * 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
2025-08-14T21:39:43.3410418Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::substitute_in_graph:0
2025-08-14T21:39:43.3411636Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::wrap_numpy:0, line 411 <- wrt source file
2025-08-14T21:39:43.3413010Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::wrap_numpy:0
2025-08-14T21:39:43.3414350Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_compiling:0, line 443 <- wrt source file
2025-08-14T21:39:43.3415515Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_compiling:0
2025-08-14T21:39:43.3417026Z * 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
2025-08-14T21:39:43.3418088Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0
2025-08-14T21:39:43.3418956Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_exporting:0, line 482 <- wrt source file
2025-08-14T21:39:43.3420790Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_exporting:0
2025-08-14T21:39:43.3422149Z * 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
2025-08-14T21:39:43.3423576Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0
2025-08-14T21:39:43.3424703Z * 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
2025-08-14T21:39:43.3425807Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0
2025-08-14T21:39:43.3427003Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py::_compile_kernel:0, line 1760 <- wrt source file
2025-08-14T21:39:43.3428004Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py::_compile_kernel:0
2025-08-14T21:39:43.3428802Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::save:0, line 345 <- wrt source file
2025-08-14T21:39:43.3429745Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::save:0
2025-08-14T21:39:43.3430573Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::load:0, line 415 <- wrt source file
2025-08-14T21:39:43.3431539Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::load:0
2025-08-14T21:39:43.3432493Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::register_dataclass:0, line 572 <- wrt source file
2025-08-14T21:39:43.3433536Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::register_dataclass:0
2025-08-14T21:39:43.3434624Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.then:0, line 148 <- wrt source file
2025-08-14T21:39:43.3435483Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.then:0
2025-08-14T21:39:43.3436338Z * 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
2025-08-14T21:39:43.3437265Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.add_done_callback:0
2025-08-14T21:39:43.3438151Z * 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
2025-08-14T21:39:43.3439037Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_result:0
2025-08-14T21:39:43.3439901Z * 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
2025-08-14T21:39:43.3440808Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_exception:0
2025-08-14T21:39:43.3441649Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::collect_all:0, line 295 <- wrt source file
2025-08-14T21:39:43.3442784Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::collect_all:0
2025-08-14T21:39:43.3443570Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/__init__.py::annotate:0, line 147 <- wrt source file
2025-08-14T21:39:43.3444350Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/__init__.py::annotate:0
2025-08-14T21:39:43.3445180Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0, line 22 <- wrt source file
2025-08-14T21:39:43.3453398Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0
2025-08-14T21:39:43.3454334Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/mps/__init__.py::compile_shader:0, line 148 <- wrt source file
2025-08-14T21:39:43.3455185Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/mps/__init__.py::compile_shader:0
2025-08-14T21:39:43.3456008Z * 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
2025-08-14T21:39:43.3478104Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::as_nested_tensor:0
2025-08-14T21:39:43.3479260Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor:0, line 240 <- wrt source file
2025-08-14T21:39:43.3483575Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor:0
2025-08-14T21:39:43.3484660Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::narrow:0, line 315 <- wrt source file
2025-08-14T21:39:43.3528940Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::narrow:0
2025-08-14T21:39:43.3530075Z * 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
2025-08-14T21:39:43.3549581Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0
2025-08-14T21:39:43.3550712Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::masked_select:0, line 481 <- wrt source file
2025-08-14T21:39:43.3567921Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::masked_select:0
2025-08-14T21:39:43.3568969Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::sum:0, line 223 <- wrt source file
2025-08-14T21:39:43.3578246Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::sum:0
2025-08-14T21:39:43.3579338Z * 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
2025-08-14T21:39:43.3587645Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0
2025-08-14T21:39:43.3588807Z * 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
2025-08-14T21:39:43.3634720Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0
2025-08-14T21:39:43.3635921Z * 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
2025-08-14T21:39:43.3637794Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0
2025-08-14T21:39:43.3638984Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py::fullgraph_capture:0, line 2328 <- wrt source file
2025-08-14T21:39:43.3640170Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py::fullgraph_capture:0
2025-08-14T21:39:43.3641414Z * 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
2025-08-14T21:39:43.3643020Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0
2025-08-14T21:39:43.3644308Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0, line 1386 <- wrt source file
2025-08-14T21:39:43.3645609Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0
2025-08-14T21:39:43.3646973Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0, line 157 <- wrt source file
2025-08-14T21:39:43.3648412Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0
2025-08-14T21:39:43.3649679Z * 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
2025-08-14T21:39:43.3925340Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py::aot_function:0
2025-08-14T21:39:43.3926599Z * 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
2025-08-14T21:39:43.3927686Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0
2025-08-14T21:39:43.3928582Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::vjp:0, line 233 <- wrt source file
2025-08-14T21:39:43.3964446Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::vjp:0
2025-08-14T21:39:43.3965623Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacrev:0, line 475 <- wrt source file
2025-08-14T21:39:43.4022075Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacrev:0
2025-08-14T21:39:43.4023240Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jvp:0, line 1023 <- wrt source file
2025-08-14T21:39:43.4778327Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jvp:0
2025-08-14T21:39:43.4779489Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0, line 1181 <- wrt source file
2025-08-14T21:39:43.4837671Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0
2025-08-14T21:39:43.4838825Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::hessian:0, line 1341 <- wrt source file
2025-08-14T21:39:43.4855516Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::hessian:0
2025-08-14T21:39:43.4857075Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::functionalize:0, line 1505 <- wrt source file
2025-08-14T21:39:43.4860392Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::functionalize:0
2025-08-14T21:39:43.4861578Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::linearize:0, line 1704 <- wrt source file
2025-08-14T21:39:43.5009649Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::linearize:0
2025-08-14T21:39:43.5011338Z * 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
2025-08-14T21:39:43.5014741Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/functional_call.py::functional_call:0
2025-08-14T21:39:43.5016179Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/fx_minifier.py::minifier:0, line 194 <- wrt source file
2025-08-14T21:39:43.5017291Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/fx_minifier.py::minifier:0
2025-08-14T21:39:43.5018524Z * 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
2025-08-14T21:39:43.5019740Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0
2025-08-14T21:39:43.5021008Z * 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
2025-08-14T21:39:43.5022218Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0
2025-08-14T21:39:43.5023342Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0, line 133 <- wrt source file
2025-08-14T21:39:43.5024601Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0
2025-08-14T21:39:43.5025757Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0, line 269 <- wrt source file
2025-08-14T21:39:43.5027034Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0
2025-08-14T21:39:43.5028084Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/cond.py::cond:0, line 105 <- wrt source file
2025-08-14T21:39:43.5029065Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/cond.py::cond:0
2025-08-14T21:39:43.5030097Z * 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
2025-08-14T21:39:43.5031272Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0
2025-08-14T21:39:43.5032292Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/map.py::map:0, line 77 <- wrt source file
2025-08-14T21:39:43.5033251Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/map.py::map:0
2025-08-14T21:39:43.5034195Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/scan.py::scan:0, line 155 <- wrt source file
2025-08-14T21:39:43.5035376Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/scan.py::scan:0
2025-08-14T21:39:43.5036393Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/scan.py::ScanAutogradOp:0, line 423 <- wrt source file
2025-08-14T21:39:43.5037504Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/scan.py::ScanAutogradOp:0
2025-08-14T21:39:43.5038512Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py::WritableTempFile:0, line 371 <- wrt source file
2025-08-14T21:39:43.5039701Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py::WritableTempFile:0
2025-08-14T21:39:43.5040938Z * 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 1501 <- wrt source file
2025-08-14T21:39:43.5042225Z * 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
2025-08-14T21:39:43.5043442Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0, line 3349 <- wrt source file
2025-08-14T21:39:43.5044551Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0
2025-08-14T21:39:43.5045659Z * 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
2025-08-14T21:39:43.5046923Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/template_registry.py::register_template_heuristic:0
2025-08-14T21:39:43.5047966Z * 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
2025-08-14T21:39:43.5708371Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::custom_op:0
2025-08-14T21:39:43.5709566Z * 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
2025-08-14T21:39:43.5792508Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0
2025-08-14T21:39:43.5793969Z * 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
2025-08-14T21:39:43.5795477Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0
2025-08-14T21:39:43.5796914Z * 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
2025-08-14T21:39:43.5955028Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0
2025-08-14T21:39:43.5956277Z * 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
2025-08-14T21:39:43.6117533Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0
2025-08-14T21:39:43.6119057Z * 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
2025-08-14T21:39:43.6120840Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0
2025-08-14T21:39:43.6122334Z * 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
2025-08-14T21:39:43.6123789Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0
2025-08-14T21:39:43.6125267Z * 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
2025-08-14T21:39:43.6194442Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0
2025-08-14T21:39:43.6195830Z * 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
2025-08-14T21:39:43.6201063Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/infer_schema.py::infer_schema:0
2025-08-14T21:39:43.6202236Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::triton_op:0, line 136 <- wrt source file
2025-08-14T21:39:43.6203268Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::triton_op:0
2025-08-14T21:39:43.6204281Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::wrap_triton:0, line 307 <- wrt source file
2025-08-14T21:39:43.6205327Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::wrap_triton:0
2025-08-14T21:39:43.6206349Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_logging/_internal.py::set_logs:0, line 459 <- wrt source file
2025-08-14T21:39:43.6207273Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_logging/_internal.py::set_logs:0
2025-08-14T21:39:43.6208107Z * 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
2025-08-14T21:39:43.6242970Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_equal:0
2025-08-14T21:39:43.6244114Z * 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
2025-08-14T21:39:43.6245273Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0
2025-08-14T21:39:43.6246402Z * 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
2025-08-14T21:39:43.6287403Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_almost_equal:0
2025-08-14T21:39:43.6288572Z * 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
2025-08-14T21:39:43.6291133Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_approx_equal:0
2025-08-14T21:39:43.6292266Z * 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
2025-08-14T21:39:43.6349208Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_equal:0
2025-08-14T21:39:43.6350378Z * 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
2025-08-14T21:39:43.6408185Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal:0
2025-08-14T21:39:43.6409386Z * 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
2025-08-14T21:39:43.6459298Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0
2025-08-14T21:39:43.6460550Z * 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
2025-08-14T21:39:43.6461894Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0
2025-08-14T21:39:43.6463042Z * 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
2025-08-14T21:39:43.6478625Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0
2025-08-14T21:39:43.6479926Z * 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
2025-08-14T21:39:43.6483820Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0
2025-08-14T21:39:43.6485067Z * 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
2025-08-14T21:39:43.6488407Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0
2025-08-14T21:39:43.6489471Z * 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
2025-08-14T21:39:43.6490353Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0
2025-08-14T21:39:43.6491217Z * 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
2025-08-14T21:39:43.6495327Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_warns:0
2025-08-14T21:39:43.6496393Z * 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
2025-08-14T21:39:43.6498647Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::clear_and_catch_warnings:0
2025-08-14T21:39:43.6499674Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims/context.py::TorchRefsMode:0, line 95 <- wrt source file
2025-08-14T21:39:43.6500663Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims/context.py::TorchRefsMode:0
2025-08-14T21:39:43.6501665Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/amp/grad_scaler.py::GradScaler:0, line 64 <- wrt source file
2025-08-14T21:39:43.6502666Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/amp/grad_scaler.py::GradScaler:0
2025-08-14T21:39:43.6503706Z * 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
2025-08-14T21:39:43.6504876Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0
2025-08-14T21:39:43.6506383Z * 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
2025-08-14T21:39:43.6507727Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0
2025-08-14T21:39:43.6508991Z * 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
2025-08-14T21:39:43.6510208Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0
2025-08-14T21:39:43.6511572Z * 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
2025-08-14T21:39:43.6513192Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0
2025-08-14T21:39:43.6514400Z * 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
2025-08-14T21:39:43.6515726Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0
2025-08-14T21:39:43.6517105Z * 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
2025-08-14T21:39:43.6526339Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0
2025-08-14T21:39:43.6527564Z * 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
2025-08-14T21:39:43.6554451Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0
2025-08-14T21:39:43.6555700Z * 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
2025-08-14T21:39:43.6556903Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0
2025-08-14T21:39:43.6558053Z * 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
2025-08-14T21:39:43.6559235Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0
2025-08-14T21:39:43.6560399Z * 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
2025-08-14T21:39:43.6561582Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0
2025-08-14T21:39:43.6562865Z * 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
2025-08-14T21:39:43.6564496Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0
2025-08-14T21:39:43.6565728Z * 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
2025-08-14T21:39:43.6570296Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0
2025-08-14T21:39:43.6571561Z * 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
2025-08-14T21:39:43.6573030Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0
2025-08-14T21:39:43.6574288Z * 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
2025-08-14T21:39:43.6575585Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0
2025-08-14T21:39:43.6576854Z * 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
2025-08-14T21:39:43.6578263Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0
2025-08-14T21:39:43.6579577Z * 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
2025-08-14T21:39:43.6580969Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0
2025-08-14T21:39:43.6582338Z * 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
2025-08-14T21:39:43.6583735Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0
2025-08-14T21:39:43.6585090Z * 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
2025-08-14T21:39:43.6586477Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0
2025-08-14T21:39:43.6587790Z * 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
2025-08-14T21:39:43.6589096Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0
2025-08-14T21:39:43.6590340Z * 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
2025-08-14T21:39:43.6591587Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0
2025-08-14T21:39:43.6592805Z * 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
2025-08-14T21:39:43.6594053Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0
2025-08-14T21:39:43.6595295Z * 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
2025-08-14T21:39:43.6596587Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0
2025-08-14T21:39:43.6597868Z * 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
2025-08-14T21:39:43.6599173Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0
2025-08-14T21:39:43.6600570Z * 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
2025-08-14T21:39:43.6602075Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0
2025-08-14T21:39:43.6603316Z * 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
2025-08-14T21:39:43.6604641Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0
2025-08-14T21:39:43.6605912Z * 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
2025-08-14T21:39:43.6607111Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0
2025-08-14T21:39:43.6608390Z * 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
2025-08-14T21:39:43.6609603Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0
2025-08-14T21:39:43.6610768Z * 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
2025-08-14T21:39:43.6612188Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0
2025-08-14T21:39:43.6613420Z * 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
2025-08-14T21:39:43.6614718Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0
2025-08-14T21:39:43.6615993Z * 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
2025-08-14T21:39:43.6617305Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0
2025-08-14T21:39:43.6618572Z * 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
2025-08-14T21:39:43.6619863Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0
2025-08-14T21:39:43.6621138Z * 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
2025-08-14T21:39:43.6622476Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0
2025-08-14T21:39:43.6623787Z * 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
2025-08-14T21:39:43.6625151Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0
2025-08-14T21:39:43.6626513Z * 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
2025-08-14T21:39:43.6627961Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0
2025-08-14T21:39:43.6629352Z * 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
2025-08-14T21:39:43.6630759Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0
2025-08-14T21:39:43.6632186Z * 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
2025-08-14T21:39:43.6633412Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0
2025-08-14T21:39:43.6634568Z * 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
2025-08-14T21:39:43.6635730Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0
2025-08-14T21:39:43.6637293Z * 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
2025-08-14T21:39:43.6666957Z * 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
2025-08-14T21:39:43.6668632Z * 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
2025-08-14T21:39:43.6670260Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0
2025-08-14T21:39:43.6671696Z * 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
2025-08-14T21:39:43.6672770Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0
2025-08-14T21:39:43.6673763Z * 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
2025-08-14T21:39:43.6674800Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0
2025-08-14T21:39:43.6675864Z * 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
2025-08-14T21:39:43.6676985Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0
2025-08-14T21:39:43.6678006Z * 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
2025-08-14T21:39:43.6678953Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0
2025-08-14T21:39:43.6679919Z * 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
2025-08-14T21:39:43.6687047Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0
2025-08-14T21:39:43.6688052Z * 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
2025-08-14T21:39:43.6693537Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0
2025-08-14T21:39:43.6694552Z * 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
2025-08-14T21:39:43.6699145Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0
2025-08-14T21:39:43.6700187Z * 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
2025-08-14T21:39:43.6705202Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0
2025-08-14T21:39:43.6706195Z * 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
2025-08-14T21:39:43.6707353Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_args:0
2025-08-14T21:39:43.6708536Z * 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
2025-08-14T21:39:43.6709780Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0
2025-08-14T21:39:43.6710909Z * 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
2025-08-14T21:39:43.6712305Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0
2025-08-14T21:39:43.6713440Z * 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
2025-08-14T21:39:43.6714600Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0
2025-08-14T21:39:43.6715748Z * 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
2025-08-14T21:39:43.6716944Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0
2025-08-14T21:39:43.6717853Z * 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
2025-08-14T21:39:43.6718771Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0
2025-08-14T21:39:43.6719720Z * 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
2025-08-14T21:39:43.6720740Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0
2025-08-14T21:39:43.6721792Z * 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
2025-08-14T21:39:43.6722977Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0
2025-08-14T21:39:43.6723986Z * 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
2025-08-14T21:39:43.6724943Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0
2025-08-14T21:39:43.6725903Z * 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
2025-08-14T21:39:43.6726905Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0
2025-08-14T21:39:43.6728015Z * 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
2025-08-14T21:39:43.6728978Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0
2025-08-14T21:39:43.6729903Z * 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
2025-08-14T21:39:43.6730854Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0
2025-08-14T21:39:43.6731859Z * 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
2025-08-14T21:39:43.6732810Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0
2025-08-14T21:39:43.6733736Z * 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
2025-08-14T21:39:43.6734684Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0
2025-08-14T21:39:43.6735602Z * 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
2025-08-14T21:39:43.6736525Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0
2025-08-14T21:39:43.6737446Z * 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
2025-08-14T21:39:43.6738370Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0
2025-08-14T21:39:43.6739267Z * 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
2025-08-14T21:39:43.6740178Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0
2025-08-14T21:39:43.6741151Z * 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
2025-08-14T21:39:43.6742238Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/backend_config/backend_config.py::DTypeConfig:0
2025-08-14T21:39:43.6743302Z * 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
2025-08-14T21:39:43.6744416Z * 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
2025-08-14T21:39:43.6745463Z * 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
2025-08-14T21:39:43.6746506Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0
2025-08-14T21:39:43.6747735Z * 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
2025-08-14T21:39:43.6749142Z * 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
2025-08-14T21:39:43.6750602Z * 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
2025-08-14T21:39:43.6751996Z * 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
2025-08-14T21:39:43.6753372Z * 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
2025-08-14T21:39:43.6754850Z * 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
2025-08-14T21:39:43.6756246Z * 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
2025-08-14T21:39:43.6757683Z * 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
2025-08-14T21:39:43.6758906Z * 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
2025-08-14T21:39:43.6759993Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0
2025-08-14T21:39:43.6761104Z * 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
2025-08-14T21:39:43.6762289Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0
2025-08-14T21:39:43.6763340Z * 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
2025-08-14T21:39:43.6764397Z * 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
2025-08-14T21:39:43.6765471Z * 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
2025-08-14T21:39:43.6766586Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0
2025-08-14T21:39:43.6767583Z * 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
2025-08-14T21:39:43.6768484Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0
2025-08-14T21:39:43.6769323Z * 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
2025-08-14T21:39:43.6770175Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::make_dual:0
2025-08-14T21:39:43.6771012Z * 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
2025-08-14T21:39:43.6771951Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::unpack_dual:0
2025-08-14T21:39:43.6772774Z * 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
2025-08-14T21:39:43.6773615Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::dual_level:0
2025-08-14T21:39:43.6774516Z * 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
2025-08-14T21:39:43.6775493Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0
2025-08-14T21:39:43.6776533Z * 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
2025-08-14T21:39:43.6777505Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0
2025-08-14T21:39:43.6778445Z * 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
2025-08-14T21:39:43.6779376Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0
2025-08-14T21:39:43.6780341Z * 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
2025-08-14T21:39:43.6781380Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0
2025-08-14T21:39:43.6782377Z * 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
2025-08-14T21:39:43.6783402Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0
2025-08-14T21:39:43.6784304Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::Function:0, line 485 <- wrt source file
2025-08-14T21:39:43.6785135Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::Function:0
2025-08-14T21:39:43.6785928Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vjp:0, line 293 <- wrt source file
2025-08-14T21:39:43.6786746Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vjp:0
2025-08-14T21:39:43.6787544Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::jvp:0, line 395 <- wrt source file
2025-08-14T21:39:43.6788366Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::jvp:0
2025-08-14T21:39:43.6789173Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::jacobian:0, line 630 <- wrt source file
2025-08-14T21:39:43.6790016Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::jacobian:0
2025-08-14T21:39:43.6790834Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hessian:0, line 894 <- wrt source file
2025-08-14T21:39:43.6791666Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hessian:0
2025-08-14T21:39:43.6792474Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vhp:0, line 1010 <- wrt source file
2025-08-14T21:39:43.6793378Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vhp:0
2025-08-14T21:39:43.6794174Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hvp:0, line 1109 <- wrt source file
2025-08-14T21:39:43.6794987Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hvp:0
2025-08-14T21:39:43.6795769Z * 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
2025-08-14T21:39:43.6796576Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::no_grad:0
2025-08-14T21:39:43.6797460Z * 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
2025-08-14T21:39:43.6798317Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::enable_grad:0
2025-08-14T21:39:43.6799174Z * 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
2025-08-14T21:39:43.6800056Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0
2025-08-14T21:39:43.6800923Z * 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
2025-08-14T21:39:43.6801789Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::inference_mode:0
2025-08-14T21:39:43.6802707Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.name:0, line 53 <- wrt source file
2025-08-14T21:39:43.6803519Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.name:0
2025-08-14T21:39:43.6804353Z * 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
2025-08-14T21:39:43.6815404Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_hook:0
2025-08-14T21:39:43.6816298Z * 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
2025-08-14T21:39:43.6830530Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_prehook:0
2025-08-14T21:39:43.6831651Z * 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
2025-08-14T21:39:43.6832768Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0
2025-08-14T21:39:43.6833820Z * 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
2025-08-14T21:39:43.6834894Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::save_on_cpu:0
2025-08-14T21:39:43.6835988Z * 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
2025-08-14T21:39:43.6837083Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0
2025-08-14T21:39:43.6837993Z * 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
2025-08-14T21:39:43.6846429Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0
2025-08-14T21:39:43.6847778Z * 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
2025-08-14T21:39:43.6861698Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0
2025-08-14T21:39:43.6862848Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::profile:0, line 182 <- wrt source file
2025-08-14T21:39:43.6872365Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::profile:0
2025-08-14T21:39:43.6873430Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::record_function:0, line 745 <- wrt source file
2025-08-14T21:39:43.6874391Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::record_function:0
2025-08-14T21:39:43.6875241Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::emit_itt:0, line 880 <- wrt source file
2025-08-14T21:39:43.6876075Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::emit_itt:0
2025-08-14T21:39:43.6876896Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::emit_nvtx:0, line 953 <- wrt source file
2025-08-14T21:39:43.6877745Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::emit_nvtx:0
2025-08-14T21:39:43.6878567Z * 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
2025-08-14T21:39:43.6879389Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_register_buffer:0
2025-08-14T21:39:43.6880208Z * 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
2025-08-14T21:39:43.6881053Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0
2025-08-14T21:39:43.6881955Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::GdsFile:0, line 85 <- wrt source file
2025-08-14T21:39:43.6882720Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::GdsFile:0
2025-08-14T21:39:43.6883512Z * 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
2025-08-14T21:39:43.6884367Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0
2025-08-14T21:39:43.6885194Z * 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
2025-08-14T21:39:43.6886030Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1
2025-08-14T21:39:43.6886845Z * 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
2025-08-14T21:39:43.6887676Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2
2025-08-14T21:39:43.6888551Z * 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
2025-08-14T21:39:43.6889489Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0
2025-08-14T21:39:43.6890441Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/profiler.py::profile:0, line 75 <- wrt source file
2025-08-14T21:39:43.6891236Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/profiler.py::profile:0
2025-08-14T21:39:43.6892080Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0, line 431 <- wrt source file
2025-08-14T21:39:43.6892973Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0
2025-08-14T21:39:43.6893899Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0, line 976 <- wrt source file
2025-08-14T21:39:43.6894990Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0
2025-08-14T21:39:43.6895957Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0, line 1122 <- wrt source file
2025-08-14T21:39:43.6896904Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0
2025-08-14T21:39:43.6897863Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::_coalescing_manager:0, line 2574 <- wrt source file
2025-08-14T21:39:43.6898856Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::_coalescing_manager:0
2025-08-14T21:39:43.6899821Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::_time_estimator:0, line 2676 <- wrt source file
2025-08-14T21:39:43.6900782Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::_time_estimator:0
2025-08-14T21:39:43.6901732Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::batch_isend_irecv:0, line 2723 <- wrt source file
2025-08-14T21:39:43.6902710Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::batch_isend_irecv:0
2025-08-14T21:39:43.6903642Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_reduce:0, line 2860 <- wrt source file
2025-08-14T21:39:43.6904571Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_reduce:0
2025-08-14T21:39:43.6905505Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather_object:0, line 3143 <- wrt source file
2025-08-14T21:39:43.6906494Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather_object:0
2025-08-14T21:39:43.6907439Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::gather_object:0, line 3247 <- wrt source file
2025-08-14T21:39:43.6908387Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::gather_object:0
2025-08-14T21:39:43.6909322Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::send_object_list:0, line 3372 <- wrt source file
2025-08-14T21:39:43.6910283Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::send_object_list:0
2025-08-14T21:39:43.6911229Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::recv_object_list:0, line 3474 <- wrt source file
2025-08-14T21:39:43.6912626Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::recv_object_list:0
2025-08-14T21:39:43.6913609Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::broadcast_object_list:0, line 3588 <- wrt source file
2025-08-14T21:39:43.6914622Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::broadcast_object_list:0
2025-08-14T21:39:43.6915611Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::scatter_object_list:0, line 3711 <- wrt source file
2025-08-14T21:39:43.6916718Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::scatter_object_list:0
2025-08-14T21:39:43.6917690Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather:0, line 3813 <- wrt source file
2025-08-14T21:39:43.6918629Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather:0
2025-08-14T21:39:43.6919583Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0, line 3920 <- wrt source file
2025-08-14T21:39:43.6920594Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0
2025-08-14T21:39:43.6921585Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather_coalesced:0, line 4058 <- wrt source file
2025-08-14T21:39:43.6922694Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather_coalesced:0
2025-08-14T21:39:43.6923630Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::gather:0, line 4164 <- wrt source file
2025-08-14T21:39:43.6924551Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::gather:0
2025-08-14T21:39:43.6925458Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::scatter:0, line 4249 <- wrt source file
2025-08-14T21:39:43.6926410Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::scatter:0
2025-08-14T21:39:43.6927351Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::reduce_scatter_tensor:0, line 4387 <- wrt source file
2025-08-14T21:39:43.6928359Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::reduce_scatter_tensor:0
2025-08-14T21:39:43.6929331Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_to_all_single:0, line 4529 <- wrt source file
2025-08-14T21:39:43.6930300Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_to_all_single:0
2025-08-14T21:39:43.6931230Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_to_all:0, line 4663 <- wrt source file
2025-08-14T21:39:43.6932157Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_to_all:0
2025-08-14T21:39:43.6933095Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::monitored_barrier:0, line 4869 <- wrt source file
2025-08-14T21:39:43.6934080Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::monitored_barrier:0
2025-08-14T21:39:43.6935161Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::new_subgroups:0, line 5411 <- wrt source file
2025-08-14T21:39:43.6936121Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::new_subgroups:0
2025-08-14T21:39:43.6937113Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::new_subgroups_by_enumeration:0, line 5505 <- wrt source file
2025-08-14T21:39:43.6938165Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::new_subgroups_by_enumeration:0
2025-08-14T21:39:43.6939188Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/launch.py::__doc__:0, line 84 <- wrt source file
2025-08-14T21:39:43.6940029Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/launch.py::__doc__:0
2025-08-14T21:39:43.6940824Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/run.py::__doc__:0, line 57 <- wrt source file
2025-08-14T21:39:43.6941630Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/run.py::__doc__:0
2025-08-14T21:39:43.6942476Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/autograd/__init__.py::context:0, line 47 <- wrt source file
2025-08-14T21:39:43.6943385Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/autograd/__init__.py::context:0
2025-08-14T21:39:43.6944374Z * 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
2025-08-14T21:39:43.6945440Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_composable/checkpoint_activation.py::checkpoint:0
2025-08-14T21:39:43.6946406Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_composable/contract.py::contract:0, line 66 <- wrt source file
2025-08-14T21:39:43.6947353Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_composable/contract.py::contract:0
2025-08-14T21:39:43.6948283Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_composable/replicate.py::replicate:0, line 190 <- wrt source file
2025-08-14T21:39:43.6949243Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_composable/replicate.py::replicate:0
2025-08-14T21:39:43.6950216Z * 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
2025-08-14T21:39:43.6951241Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_composable/replicate_with_fsdp.py::replicate:0
2025-08-14T21:39:43.6952298Z * 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
2025-08-14T21:39:43.6953432Z * 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
2025-08-14T21:39:43.6954514Z * 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
2025-08-14T21:39:43.6955593Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py::init_from_local_shards:0
2025-08-14T21:39:43.6956748Z * 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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2025-08-14T21:39:43.6958934Z * 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
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2025-08-14T21:39:43.6961302Z * 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
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2025-08-14T21:39:43.6963554Z * 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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2025-08-14T21:39:43.6965656Z * 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
2025-08-14T21:39:43.6966654Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_shard/sharding_plan/api.py::ShardingPlan:0
2025-08-14T21:39:43.6967624Z * 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
2025-08-14T21:39:43.6968624Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::put:0
2025-08-14T21:39:43.6969584Z * 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
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2025-08-14T21:39:43.6971578Z * 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
2025-08-14T21:39:43.6972686Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::putmem_signal_block:0
2025-08-14T21:39:43.6973727Z * 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
2025-08-14T21:39:43.6974756Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::wait_until:0
2025-08-14T21:39:43.6975789Z * 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
2025-08-14T21:39:43.6976863Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::signal_wait_until:0
2025-08-14T21:39:43.6977886Z * 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
2025-08-14T21:39:43.6979010Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::signal_op:0
2025-08-14T21:39:43.6980023Z * 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
2025-08-14T21:39:43.6981020Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::fence:0
2025-08-14T21:39:43.6981998Z * 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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2025-08-14T21:39:43.6984035Z * 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
2025-08-14T21:39:43.6985032Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::my_pe:0
2025-08-14T21:39:43.6986023Z * 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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2025-08-14T21:39:43.6988024Z * 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
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2025-08-14T21:39:43.6990072Z * 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
2025-08-14T21:39:43.6991088Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::sync_all:0
2025-08-14T21:39:43.6992094Z * 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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2025-08-14T21:39:43.6994124Z * 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
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2025-08-14T21:39:43.6996162Z * 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
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2025-08-14T21:39:43.6998195Z * 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
2025-08-14T21:39:43.6999303Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::reduce_extern_wrapper:0
2025-08-14T21:39:43.7000417Z * 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
2025-08-14T21:39:43.7001401Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_tools/memory_tracker.py::MemoryTracker:0
2025-08-14T21:39:43.7002406Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/join.py::Join:0, line 141 <- wrt source file
2025-08-14T21:39:43.7003299Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/join.py::Join:0
2025-08-14T21:39:43.7004353Z * 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
2025-08-14T21:39:43.7005484Z * 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
2025-08-14T21:39:43.7006579Z * 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
2025-08-14T21:39:43.7007698Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/debugging_hooks.py::noop_hook:0
2025-08-14T21:39:43.7008788Z * 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
2025-08-14T21:39:43.7009902Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::allreduce_hook:0
2025-08-14T21:39:43.7011018Z * 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
2025-08-14T21:39:43.7012462Z * 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
2025-08-14T21:39:43.7013601Z * 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
2025-08-14T21:39:43.7014752Z * 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
2025-08-14T21:39:43.7015883Z * 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
2025-08-14T21:39:43.7017051Z * 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
2025-08-14T21:39:43.7018189Z * 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
2025-08-14T21:39:43.7019353Z * 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
2025-08-14T21:39:43.7020484Z * 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
2025-08-14T21:39:43.7021654Z * 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
2025-08-14T21:39:43.7022782Z * 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
2025-08-14T21:39:43.7024040Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py::powerSGD_hook:0
2025-08-14T21:39:43.7025168Z * 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
2025-08-14T21:39:43.7026343Z * 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
2025-08-14T21:39:43.7027658Z * 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
2025-08-14T21:39:43.7028934Z * 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
2025-08-14T21:39:43.7030175Z * 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
2025-08-14T21:39:43.7031438Z * 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
2025-08-14T21:39:43.7032646Z * 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
2025-08-14T21:39:43.7033828Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/model_averaging/averagers.py::PeriodicModelAverager:0
2025-08-14T21:39:43.7035078Z * 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
2025-08-14T21:39:43.7036419Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/model_averaging/hierarchical_model_averager.py::HierarchicalModelAverager:0
2025-08-14T21:39:43.7037627Z * 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
2025-08-14T21:39:43.7038756Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/format_utils.py::BroadcastingTorchSaveReader:0
2025-08-14T21:39:43.7039841Z * 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
2025-08-14T21:39:43.7040942Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/format_utils.py::DynamicMetaLoadPlanner:0
2025-08-14T21:39:43.7042130Z * 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
2025-08-14T21:39:43.7043283Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/optimizer.py::load_sharded_optimizer_state_dict:0
2025-08-14T21:39:43.7044331Z * 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
2025-08-14T21:39:43.7045328Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict.py::get_state_dict:0
2025-08-14T21:39:43.7046429Z * 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
2025-08-14T21:39:43.7047488Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_model_state_dict:0
2025-08-14T21:39:43.7048535Z * 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
2025-08-14T21:39:43.7049618Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_optimizer_state_dict:0
2025-08-14T21:39:43.7050720Z * 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
2025-08-14T21:39:43.7051714Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict_loader.py::load:0
2025-08-14T21:39:43.7052668Z * 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
2025-08-14T21:39:43.7053642Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict_saver.py::save:0
2025-08-14T21:39:43.7054608Z * 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
2025-08-14T21:39:43.7055620Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict_saver.py::async_save:0
2025-08-14T21:39:43.7056652Z * 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
2025-08-14T21:39:43.7057739Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/barriers.py::BarrierConfig:0
2025-08-14T21:39:43.7058818Z * 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
2025-08-14T21:39:43.7059947Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/builder.py::make_sync_checkpointer:0
2025-08-14T21:39:43.7061056Z * 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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2025-08-14T21:39:43.7063323Z * 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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2025-08-14T21:39:43.7070317Z * 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
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2025-08-14T21:39:43.7072626Z * 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
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2025-08-14T21:39:43.7074928Z * 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
2025-08-14T21:39:43.7076053Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/elastic/events/__init__.py::construct_and_record_rdzv_event:0
2025-08-14T21:39:43.7077176Z * 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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2025-08-14T21:39:43.7081354Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/api.py::MixedPrecision:0, line 202 <- wrt source file
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2025-08-14T21:39:43.7083262Z * 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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2025-08-14T21:39:43.7085161Z * 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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2025-08-14T21:39:43.7087531Z * 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
2025-08-14T21:39:43.7088825Z * 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
2025-08-14T21:39:43.7090076Z * 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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2025-08-14T21:39:43.7092732Z * 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
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2025-08-14T21:39:43.7095388Z * 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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2025-08-14T21:39:43.7098117Z * 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
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2025-08-14T21:39:43.7100676Z * 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
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2025-08-14T21:39:43.7103198Z * 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
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2025-08-14T21:39:43.7105681Z * 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
2025-08-14T21:39:43.7106728Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/sharded_grad_scaler.py::ShardedGradScaler:0
2025-08-14T21:39:43.7107683Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/wrap.py::CustomPolicy:0, line 224 <- wrt source file
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2025-08-14T21:39:43.7109481Z * 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
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2025-08-14T21:39:43.7111413Z * 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
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2025-08-14T21:39:43.7113840Z * 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
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2025-08-14T21:39:43.7116176Z * 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
2025-08-14T21:39:43.7117156Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/nn/api/remote_module.py::RemoteModule:0
2025-08-14T21:39:43.7118207Z * 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
2025-08-14T21:39:43.7119475Z * 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
2025-08-14T21:39:43.7120619Z * 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
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2025-08-14T21:39:43.7122956Z * 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
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2025-08-14T21:39:43.7124969Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/optimizer.py::DistributedOptimizer:0, line 162 <- wrt source file
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2025-08-14T21:39:43.7127042Z * 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
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2025-08-14T21:39:43.7129209Z * 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
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2025-08-14T21:39:43.7131273Z * 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
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2025-08-14T21:39:43.7133437Z * 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
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2025-08-14T21:39:43.7135321Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::_CustomReducer:0, line 34 <- wrt source file
2025-08-14T21:39:43.7136341Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::_CustomReducer:0
2025-08-14T21:39:43.7137384Z * 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
2025-08-14T21:39:43.7138590Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_tuple:0
2025-08-14T21:39:43.7139664Z * 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
2025-08-14T21:39:43.7140766Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_dict:0
2025-08-14T21:39:43.7141715Z * 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
2025-08-14T21:39:43.7142628Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::_wait_all:0
2025-08-14T21:39:43.7143469Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::shutdown:0, line 345 <- wrt source file
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2025-08-14T21:39:43.7145128Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::remote:0, line 606 <- wrt source file
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2025-08-14T21:39:43.7146766Z * 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
2025-08-14T21:39:43.7147606Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::rpc_sync:0
2025-08-14T21:39:43.7148429Z * 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
2025-08-14T21:39:43.7149269Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::rpc_async:0
2025-08-14T21:39:43.7150157Z * 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
2025-08-14T21:39:43.7151102Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/functions.py::async_execution:0
2025-08-14T21:39:43.7152140Z * 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
2025-08-14T21:39:43.7153288Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/options.py::TensorPipeRpcBackendOptions.set_device_map:0
2025-08-14T21:39:43.7154421Z * 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
2025-08-14T21:39:43.7155600Z * 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
2025-08-14T21:39:43.7156625Z * 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
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2025-08-14T21:39:43.7158531Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_random.py::OffsetBasedRNGTracker._set_pre_op_offset:0, line 280 <- wrt source file
2025-08-14T21:39:43.7159748Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_random.py::OffsetBasedRNGTracker._set_pre_op_offset:0
2025-08-14T21:39:43.7160793Z * 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
2025-08-14T21:39:43.7161816Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_ops/_common_rules.py::pointwise_rule:0
2025-08-14T21:39:43.7162924Z * 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
2025-08-14T21:39:43.7164023Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_func_map.py::local_map:0
2025-08-14T21:39:43.7165111Z * 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
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2025-08-14T21:39:43.7167328Z * 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
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2025-08-14T21:39:43.7169360Z * 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
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2025-08-14T21:39:43.7171419Z * 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
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2025-08-14T21:39:43.7173402Z * 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
2025-08-14T21:39:43.7174424Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::ColwiseParallel:0
2025-08-14T21:39:43.7175427Z * 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
2025-08-14T21:39:43.7176456Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0
2025-08-14T21:39:43.7177477Z * 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
2025-08-14T21:39:43.7178504Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0
2025-08-14T21:39:43.7179516Z * 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
2025-08-14T21:39:43.7180562Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInput:0
2025-08-14T21:39:43.7181592Z * 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
2025-08-14T21:39:43.7182739Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleOutput:0
2025-08-14T21:39:43.7183818Z * 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
2025-08-14T21:39:43.7184933Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInputOutput:0
2025-08-14T21:39:43.7185916Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/bernoulli.py::Bernoulli:0, line 30 <- wrt source file
2025-08-14T21:39:43.7186889Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/bernoulli.py::Bernoulli:0
2025-08-14T21:39:43.7187735Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/beta.py::Beta:0, line 21 <- wrt source file
2025-08-14T21:39:43.7188546Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/beta.py::Beta:0
2025-08-14T21:39:43.7189379Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/binomial.py::Binomial:0, line 31 <- wrt source file
2025-08-14T21:39:43.7190266Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/binomial.py::Binomial:0
2025-08-14T21:39:43.7191135Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/categorical.py::Categorical:0, line 42 <- wrt source file
2025-08-14T21:39:43.7192061Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/categorical.py::Categorical:0
2025-08-14T21:39:43.7192906Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/cauchy.py::Cauchy:0, line 23 <- wrt source file
2025-08-14T21:39:43.7193736Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/cauchy.py::Cauchy:0
2025-08-14T21:39:43.7194538Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/chi2.py::Chi2:0, line 18 <- wrt source file
2025-08-14T21:39:43.7195337Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/chi2.py::Chi2:0
2025-08-14T21:39:43.7196180Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::is_dependent:0, line 166 <- wrt source file
2025-08-14T21:39:43.7197107Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::is_dependent:0
2025-08-14T21:39:43.7198039Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::_DependentProperty:0, line 187 <- wrt source file
2025-08-14T21:39:43.7199037Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::_DependentProperty:0
2025-08-14T21:39:43.7200028Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0, line 35 <- wrt source file
2025-08-14T21:39:43.7201082Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0
2025-08-14T21:39:43.7202117Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/dirichlet.py::Dirichlet:0, line 42 <- wrt source file
2025-08-14T21:39:43.7203008Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/dirichlet.py::Dirichlet:0
2025-08-14T21:39:43.7203991Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/exponential.py::Exponential:0, line 20 <- wrt source file
2025-08-14T21:39:43.7204910Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/exponential.py::Exponential:0
2025-08-14T21:39:43.7205843Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0, line 21 <- wrt source file
2025-08-14T21:39:43.7206821Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0
2025-08-14T21:39:43.7207696Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gamma.py::Gamma:0, line 24 <- wrt source file
2025-08-14T21:39:43.7208592Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gamma.py::Gamma:0
2025-08-14T21:39:43.7209512Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0, line 26 <- wrt source file
2025-08-14T21:39:43.7210529Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0
2025-08-14T21:39:43.7211461Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/geometric.py::Geometric:0, line 36 <- wrt source file
2025-08-14T21:39:43.7212603Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/geometric.py::Geometric:0
2025-08-14T21:39:43.7213453Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gumbel.py::Gumbel:0, line 23 <- wrt source file
2025-08-14T21:39:43.7214302Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gumbel.py::Gumbel:0
2025-08-14T21:39:43.7215345Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0, line 24 <- wrt source file
2025-08-14T21:39:43.7216557Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0
2025-08-14T21:39:43.7217726Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_normal.py::HalfNormal:0, line 24 <- wrt source file
2025-08-14T21:39:43.7218926Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_normal.py::HalfNormal:0
2025-08-14T21:39:43.7220113Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/independent.py::Independent:0, line 27 <- wrt source file
2025-08-14T21:39:43.7221346Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/independent.py::Independent:0
2025-08-14T21:39:43.7222547Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0, line 24 <- wrt source file
2025-08-14T21:39:43.7223794Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0
2025-08-14T21:39:43.7225004Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0, line 30 <- wrt source file
2025-08-14T21:39:43.7226237Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0
2025-08-14T21:39:43.7227390Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/laplace.py::Laplace:0, line 20 <- wrt source file
2025-08-14T21:39:43.7228532Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/laplace.py::Laplace:0
2025-08-14T21:39:43.7229832Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0, line 43 <- wrt source file
2025-08-14T21:39:43.7231058Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0
2025-08-14T21:39:43.7232233Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/log_normal.py::LogNormal:0, line 23 <- wrt source file
2025-08-14T21:39:43.7233413Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/log_normal.py::LogNormal:0
2025-08-14T21:39:43.7234732Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0, line 28 <- wrt source file
2025-08-14T21:39:43.7236034Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0
2025-08-14T21:39:43.7237430Z * 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
2025-08-14T21:39:43.7238956Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0
2025-08-14T21:39:43.7240350Z * 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
2025-08-14T21:39:43.7241717Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/mixture_same_family.py::MixtureSameFamily:0
2025-08-14T21:39:43.7243081Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multinomial.py::Multinomial:0, line 38 <- wrt source file
2025-08-14T21:39:43.7244316Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multinomial.py::Multinomial:0
2025-08-14T21:39:43.7245592Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0, line 103 <- wrt source file
2025-08-14T21:39:43.7246982Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0
2025-08-14T21:39:43.7248198Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/normal.py::Normal:0, line 22 <- wrt source file
2025-08-14T21:39:43.7249320Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/normal.py::Normal:0
2025-08-14T21:39:43.7250537Z * 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
2025-08-14T21:39:43.7251890Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0
2025-08-14T21:39:43.7253090Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/pareto.py::Pareto:0, line 20 <- wrt source file
2025-08-14T21:39:43.7254209Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/pareto.py::Pareto:0
2025-08-14T21:39:43.7255307Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/poisson.py::Poisson:0, line 25 <- wrt source file
2025-08-14T21:39:43.7256436Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/poisson.py::Poisson:0
2025-08-14T21:39:43.7257657Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0, line 127 <- wrt source file
2025-08-14T21:39:43.7259460Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0
2025-08-14T21:39:43.7260891Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0, line 116 <- wrt source file
2025-08-14T21:39:43.7264992Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0
2025-08-14T21:39:43.7266286Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/studentT.py::StudentT:0, line 22 <- wrt source file
2025-08-14T21:39:43.7270418Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/studentT.py::StudentT:0
2025-08-14T21:39:43.7271632Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CatTransform:0, line 1065 <- wrt source file
2025-08-14T21:39:43.7272879Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CatTransform:0
2025-08-14T21:39:43.7273993Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::StackTransform:0, line 1177 <- wrt source file
2025-08-14T21:39:43.7274985Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::StackTransform:0
2025-08-14T21:39:43.7276020Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0, line 1253 <- wrt source file
2025-08-14T21:39:43.7277121Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0
2025-08-14T21:39:43.7278065Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/uniform.py::Uniform:0, line 21 <- wrt source file
2025-08-14T21:39:43.7278930Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/uniform.py::Uniform:0
2025-08-14T21:39:43.7279770Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/utils.py::clamp_probs:0, line 114 <- wrt source file
2025-08-14T21:39:43.7289092Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/utils.py::clamp_probs:0
2025-08-14T21:39:43.7289975Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/von_mises.py::VonMises:0, line 117 <- wrt source file
2025-08-14T21:39:43.7296959Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/von_mises.py::VonMises:0
2025-08-14T21:39:43.7298083Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/weibull.py::Weibull:0, line 22 <- wrt source file
2025-08-14T21:39:43.7302347Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/weibull.py::Weibull:0
2025-08-14T21:39:43.7303439Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/wishart.py::Wishart:0, line 39 <- wrt source file
2025-08-14T21:39:43.7304550Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/wishart.py::Wishart:0
2025-08-14T21:39:43.7305736Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::Dim:0, line 103 <- wrt source file
2025-08-14T21:39:43.7306792Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::Dim:0
2025-08-14T21:39:43.7307672Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:0, line 715 <- wrt source file
2025-08-14T21:39:43.7308767Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:0
2025-08-14T21:39:43.7309682Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:1, line 731 <- wrt source file
2025-08-14T21:39:43.7310604Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:1
2025-08-14T21:39:43.7311495Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::AdditionalInputs:0, line 815 <- wrt source file
2025-08-14T21:39:43.7312780Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::AdditionalInputs:0
2025-08-14T21:39:43.7313639Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::_snake_case:0, line 102 <- wrt source file
2025-08-14T21:39:43.7314420Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::_snake_case:0
2025-08-14T21:39:43.7315245Z * 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
2025-08-14T21:39:43.7316151Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::Graph.eliminate_dead_code:0
2025-08-14T21:39:43.7317004Z * 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
2025-08-14T21:39:43.7317860Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::Graph.on_generate_code:0
2025-08-14T21:39:43.7318675Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/interpreter.py::Interpreter:0, line 49 <- wrt source file
2025-08-14T21:39:43.7319505Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/interpreter.py::Interpreter:0
2025-08-14T21:39:43.7320321Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/interpreter.py::Transformer:0, line 480 <- wrt source file
2025-08-14T21:39:43.7321159Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/interpreter.py::Transformer:0
2025-08-14T21:39:43.7322436Z * 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
2025-08-14T21:39:43.7323415Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/subgraph_rewriter.py::replace_pattern:0
2025-08-14T21:39:43.7324260Z * 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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2025-08-14T21:39:43.7325904Z * 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
2025-08-14T21:39:43.7326742Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/tensor_type.py::is_consistent:0
2025-08-14T21:39:43.7327567Z * 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
2025-08-14T21:39:43.7328399Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/tensor_type.py::is_more_precise:0
2025-08-14T21:39:43.7329317Z * 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
2025-08-14T21:39:43.7330499Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/rewriter.py::AST_Rewriter.visit_AnnAssign:0
2025-08-14T21:39:43.7331465Z * 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
2025-08-14T21:39:43.7332417Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/core.py::reify:0
2025-08-14T21:39:43.7333364Z * 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
2025-08-14T21:39:43.7334431Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/match.py::VarDispatcher:0
2025-08-14T21:39:43.7335395Z * 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
2025-08-14T21:39:43.7336365Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/more.py::unifiable:0
2025-08-14T21:39:43.7337328Z * 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
2025-08-14T21:39:43.7338314Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/more.py::reify_object:0
2025-08-14T21:39:43.7339279Z * 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
2025-08-14T21:39:43.7340260Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/more.py::unify_object:0
2025-08-14T21:39:43.7341264Z * 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
2025-08-14T21:39:43.7363616Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::merge:0
2025-08-14T21:39:43.7364958Z * 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
2025-08-14T21:39:43.7367358Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::merge_with:0
2025-08-14T21:39:43.7368413Z * 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
2025-08-14T21:39:43.7370929Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::valmap:0
2025-08-14T21:39:43.7371997Z * 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
2025-08-14T21:39:43.7374450Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::keymap:0
2025-08-14T21:39:43.7375498Z * 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
2025-08-14T21:39:43.7377876Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::itemmap:0
2025-08-14T21:39:43.7378952Z * 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
2025-08-14T21:39:43.7382384Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::valfilter:0
2025-08-14T21:39:43.7383468Z * 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
2025-08-14T21:39:43.7386647Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::keyfilter:0
2025-08-14T21:39:43.7388018Z * 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
2025-08-14T21:39:43.7392063Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::itemfilter:0
2025-08-14T21:39:43.7393417Z * 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
2025-08-14T21:39:43.7395090Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::assoc:0
2025-08-14T21:39:43.7396381Z * 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
2025-08-14T21:39:43.7399862Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::dissoc:0
2025-08-14T21:39:43.7400918Z * 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
2025-08-14T21:39:43.7404082Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::assoc_in:0
2025-08-14T21:39:43.7405159Z * 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
2025-08-14T21:39:43.7411632Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::update_in:0
2025-08-14T21:39:43.7413270Z * 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
2025-08-14T21:39:43.7419910Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::get_in:0
2025-08-14T21:39:43.7421010Z * 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
2025-08-14T21:39:43.7423979Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::groupby:0
2025-08-14T21:39:43.7425038Z * 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
2025-08-14T21:39:43.7426997Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::first:0
2025-08-14T21:39:43.7428023Z * 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
2025-08-14T21:39:43.7431231Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::transitive_get:0
2025-08-14T21:39:43.7432250Z * 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
2025-08-14T21:39:43.7433473Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::_toposort:0
2025-08-14T21:39:43.7434434Z * 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
2025-08-14T21:39:43.7435834Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::reverse_dict:0
2025-08-14T21:39:43.7436802Z * 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
2025-08-14T21:39:43.7439709Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::freeze:0
2025-08-14T21:39:43.7440716Z * 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
2025-08-14T21:39:43.7442037Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/variable.py::variables:0
2025-08-14T21:39:43.7443122Z * 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
2025-08-14T21:39:43.7445774Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/core.py::dispatch:0
2025-08-14T21:39:43.7446948Z * 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
2025-08-14T21:39:43.7448130Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher:0
2025-08-14T21:39:43.7449316Z * 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
2025-08-14T21:39:43.7450579Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.register:0
2025-08-14T21:39:43.7451787Z * 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
2025-08-14T21:39:43.7453004Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.add:0
2025-08-14T21:39:43.7454198Z * 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
2025-08-14T21:39:43.7455458Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.dispatch:0
2025-08-14T21:39:43.7456659Z * 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
2025-08-14T21:39:43.7457851Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::str_signature:0
2025-08-14T21:39:43.7458991Z * 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
2025-08-14T21:39:43.7460142Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::expand_tuples:0
2025-08-14T21:39:43.7461352Z * 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
2025-08-14T21:39:43.7462475Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::_toposort:0
2025-08-14T21:39:43.7463573Z * 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
2025-08-14T21:39:43.7466072Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::reverse_dict:0
2025-08-14T21:39:43.7467214Z * 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
2025-08-14T21:39:43.7470179Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::groupby:0
2025-08-14T21:39:43.7471297Z * 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
2025-08-14T21:39:43.7473935Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::typename:0
2025-08-14T21:39:43.7475091Z * 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
2025-08-14T21:39:43.7476296Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::isvariadic:0
2025-08-14T21:39:43.7477443Z * 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
2025-08-14T21:39:43.7478582Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::Variadic:0
2025-08-14T21:39:43.7479635Z * 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
2025-08-14T21:39:43.7530224Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/graph_drawer.py::FxGraphDrawer.get_dot_graph:0
2025-08-14T21:39:43.7531450Z * 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
2025-08-14T21:39:43.7532544Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0
2025-08-14T21:39:43.7533628Z * 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
2025-08-14T21:39:43.7534749Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/split_module.py::split_module:0
2025-08-14T21:39:43.7536067Z * 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
2025-08-14T21:39:43.7537432Z * 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
2025-08-14T21:39:43.7538484Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0, line 36 <- wrt source file
2025-08-14T21:39:43.7539652Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0
2025-08-14T21:39:43.7540584Z * 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
2025-08-14T21:39:43.7541536Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0
2025-08-14T21:39:43.7542485Z * 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
2025-08-14T21:39:43.7543596Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0
2025-08-14T21:39:43.7544539Z * 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
2025-08-14T21:39:43.7545457Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0
2025-08-14T21:39:43.7546317Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/_ops.py::logaddexp:0, line 1530 <- wrt source file
2025-08-14T21:39:43.7557346Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/_ops.py::logaddexp:0
2025-08-14T21:39:43.7558456Z * 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
2025-08-14T21:39:43.7559653Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0
2025-08-14T21:39:43.7560859Z * 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
2025-08-14T21:39:43.7595137Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0
2025-08-14T21:39:43.7596449Z * 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
2025-08-14T21:39:43.8216926Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0
2025-08-14T21:39:43.8241090Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::gumbel_softmax:0, line 2174 <- wrt source file
2025-08-14T21:39:43.8250473Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::gumbel_softmax:0
2025-08-14T21:39:43.8251606Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding:0, line 2478 <- wrt source file
2025-08-14T21:39:43.8260203Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding:0
2025-08-14T21:39:43.8261294Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding_bag:0, line 2618 <- wrt source file
2025-08-14T21:39:43.8271608Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding_bag:0
2025-08-14T21:39:43.8272693Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::ctc_loss:0, line 3051 <- wrt source file
2025-08-14T21:39:43.8285055Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::ctc_loss:0
2025-08-14T21:39:43.8286518Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::nll_loss:0, line 3121 <- wrt source file
2025-08-14T21:39:43.8292048Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::nll_loss:0
2025-08-14T21:39:43.8293136Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::cross_entropy:0, line 3430 <- wrt source file
2025-08-14T21:39:43.8300870Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::cross_entropy:0
2025-08-14T21:39:43.8302013Z * 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
2025-08-14T21:39:43.8307679Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy:0
2025-08-14T21:39:43.8308913Z * 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
2025-08-14T21:39:43.8314682Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0
2025-08-14T21:39:43.8315813Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::pad:0, line 5263 <- wrt source file
2025-08-14T21:39:43.8325721Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::pad:0
2025-08-14T21:39:43.8326727Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_input:0, line 32 <- wrt source file
2025-08-14T21:39:43.8334466Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_input:0
2025-08-14T21:39:43.8335498Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_weight:0, line 79 <- wrt source file
2025-08-14T21:39:43.8339460Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_weight:0
2025-08-14T21:39:43.8340495Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_input:0, line 130 <- wrt source file
2025-08-14T21:39:43.8346914Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_input:0
2025-08-14T21:39:43.8347942Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_weight:0, line 177 <- wrt source file
2025-08-14T21:39:43.8351951Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_weight:0
2025-08-14T21:39:43.8352984Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_input:0, line 228 <- wrt source file
2025-08-14T21:39:43.8378303Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_input:0
2025-08-14T21:39:43.8379324Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_weight:0, line 275 <- wrt source file
2025-08-14T21:39:43.8393876Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_weight:0
2025-08-14T21:39:43.8394913Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::calculate_gain:0, line 171 <- wrt source file
2025-08-14T21:39:43.8397628Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::calculate_gain:0
2025-08-14T21:39:43.8398638Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::uniform_:0, line 230 <- wrt source file
2025-08-14T21:39:43.8401450Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::uniform_:0
2025-08-14T21:39:43.8402722Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::normal_:0, line 257 <- wrt source file
2025-08-14T21:39:43.8405581Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::normal_:0
2025-08-14T21:39:43.8406579Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::trunc_normal_:0, line 292 <- wrt source file
2025-08-14T21:39:43.8409976Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::trunc_normal_:0
2025-08-14T21:39:43.8410977Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::constant_:0, line 306 <- wrt source file
2025-08-14T21:39:43.8414396Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::constant_:0
2025-08-14T21:39:43.8415374Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::ones_:0, line 323 <- wrt source file
2025-08-14T21:39:43.8417934Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::ones_:0
2025-08-14T21:39:43.8418893Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::zeros_:0, line 336 <- wrt source file
2025-08-14T21:39:43.8421518Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::zeros_:0
2025-08-14T21:39:43.8422465Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::eye_:0, line 352 <- wrt source file
2025-08-14T21:39:43.8425436Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::eye_:0
2025-08-14T21:39:43.8426389Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::dirac_:0, line 374 <- wrt source file
2025-08-14T21:39:43.8430663Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::dirac_:0
2025-08-14T21:39:43.8431663Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_uniform_:0, line 460 <- wrt source file
2025-08-14T21:39:43.8434640Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_uniform_:0
2025-08-14T21:39:43.8435677Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_normal_:0, line 492 <- wrt source file
2025-08-14T21:39:43.8438317Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_normal_:0
2025-08-14T21:39:43.8439353Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_uniform_:0, line 543 <- wrt source file
2025-08-14T21:39:43.8442387Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_uniform_:0
2025-08-14T21:39:43.8443459Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_normal_:0, line 608 <- wrt source file
2025-08-14T21:39:43.8446362Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_normal_:0
2025-08-14T21:39:43.8447399Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::orthogonal_:0, line 647 <- wrt source file
2025-08-14T21:39:43.8448429Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::orthogonal_:0
2025-08-14T21:39:43.8449299Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::sparse_:0, line 700 <- wrt source file
2025-08-14T21:39:43.8452529Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::sparse_:0
2025-08-14T21:39:43.8453549Z * 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
2025-08-14T21:39:43.8454430Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0
2025-08-14T21:39:43.8455277Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/bias.py::CausalBias:0, line 95 <- wrt source file
2025-08-14T21:39:43.8456139Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/bias.py::CausalBias:0
2025-08-14T21:39:43.8456976Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Threshold:0, line 72 <- wrt source file
2025-08-14T21:39:43.8460782Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Threshold:0
2025-08-14T21:39:43.8461671Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU:0, line 120 <- wrt source file
2025-08-14T21:39:43.8467152Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU:0
2025-08-14T21:39:43.8468187Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::RReLU:0, line 185 <- wrt source file
2025-08-14T21:39:43.8471575Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::RReLU:0
2025-08-14T21:39:43.8472639Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardtanh:0, line 247 <- wrt source file
2025-08-14T21:39:43.8475970Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardtanh:0
2025-08-14T21:39:43.8477014Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU6:0, line 318 <- wrt source file
2025-08-14T21:39:43.8480063Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU6:0
2025-08-14T21:39:43.8481110Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Sigmoid:0, line 349 <- wrt source file
2025-08-14T21:39:43.8484083Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Sigmoid:0
2025-08-14T21:39:43.8485156Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0, line 384 <- wrt source file
2025-08-14T21:39:43.8487993Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0
2025-08-14T21:39:43.8488829Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanh:0, line 420 <- wrt source file
2025-08-14T21:39:43.8492085Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanh:0
2025-08-14T21:39:43.8492922Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SiLU:0, line 456 <- wrt source file
2025-08-14T21:39:43.8496227Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SiLU:0
2025-08-14T21:39:43.8497033Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Mish:0, line 501 <- wrt source file
2025-08-14T21:39:43.8500222Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Mish:0
2025-08-14T21:39:43.8501059Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardswish:0, line 552 <- wrt source file
2025-08-14T21:39:43.8504434Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardswish:0
2025-08-14T21:39:43.8505267Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ELU:0, line 598 <- wrt source file
2025-08-14T21:39:43.8508635Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ELU:0
2025-08-14T21:39:43.8509672Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::CELU:0, line 646 <- wrt source file
2025-08-14T21:39:43.8513107Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::CELU:0
2025-08-14T21:39:43.8514323Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SELU:0, line 705 <- wrt source file
2025-08-14T21:39:43.8517053Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SELU:0
2025-08-14T21:39:43.8517864Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GLU:0, line 751 <- wrt source file
2025-08-14T21:39:43.8521183Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GLU:0
2025-08-14T21:39:43.8522101Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GELU:0, line 799 <- wrt source file
2025-08-14T21:39:43.8528229Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GELU:0
2025-08-14T21:39:43.8529717Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardshrink:0, line 848 <- wrt source file
2025-08-14T21:39:43.8532926Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardshrink:0
2025-08-14T21:39:43.8534391Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LeakyReLU:0, line 903 <- wrt source file
2025-08-14T21:39:43.8537193Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LeakyReLU:0
2025-08-14T21:39:43.8538338Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSigmoid:0, line 945 <- wrt source file
2025-08-14T21:39:43.8541303Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSigmoid:0
2025-08-14T21:39:43.8542443Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softplus:0, line 981 <- wrt source file
2025-08-14T21:39:43.8545647Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softplus:0
2025-08-14T21:39:43.8546802Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softshrink:0, line 1030 <- wrt source file
2025-08-14T21:39:43.8549978Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softshrink:0
2025-08-14T21:39:43.8551182Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0, line 1144 <- wrt source file
2025-08-14T21:39:43.8552437Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0
2025-08-14T21:39:43.8553597Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::PReLU:0, line 1609 <- wrt source file
2025-08-14T21:39:43.8555231Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::PReLU:0
2025-08-14T21:39:43.8560125Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softsign:0, line 1660 <- wrt source file
2025-08-14T21:39:43.8561310Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softsign:0
2025-08-14T21:39:43.8562578Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanhshrink:0, line 1686 <- wrt source file
2025-08-14T21:39:43.8564101Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanhshrink:0
2025-08-14T21:39:43.8565360Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmin:0, line 1724 <- wrt source file
2025-08-14T21:39:43.8568663Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmin:0
2025-08-14T21:39:43.8569799Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax:0, line 1788 <- wrt source file
2025-08-14T21:39:43.8572994Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax:0
2025-08-14T21:39:43.8574148Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax2d:0, line 1835 <- wrt source file
2025-08-14T21:39:43.8578050Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax2d:0
2025-08-14T21:39:43.8579214Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSoftmax:0, line 1874 <- wrt source file
2025-08-14T21:39:43.8582410Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSoftmax:0
2025-08-14T21:39:43.8583569Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0, line 332 <- wrt source file
2025-08-14T21:39:43.8589810Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0
2025-08-14T21:39:43.8590994Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0, line 443 <- wrt source file
2025-08-14T21:39:43.8780574Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0
2025-08-14T21:39:43.8781812Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0, line 554 <- wrt source file
2025-08-14T21:39:44.0568265Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0
2025-08-14T21:39:44.0741782Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0, line 678 <- wrt source file
2025-08-14T21:39:44.0743713Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0
2025-08-14T21:39:44.0744950Z * 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
2025-08-14T21:39:44.0746303Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0
2025-08-14T21:39:44.0747510Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0, line 21 <- wrt source file
2025-08-14T21:39:44.0767452Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0
2025-08-14T21:39:44.0769060Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential:0, line 81 <- wrt source file
2025-08-14T21:39:44.0770239Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential:0
2025-08-14T21:39:44.0771412Z * 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
2025-08-14T21:39:44.0777806Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.append:0
2025-08-14T21:39:44.0779204Z * 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
2025-08-14T21:39:44.0786033Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.insert:0
2025-08-14T21:39:44.0787241Z * 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
2025-08-14T21:39:44.0795599Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.extend:0
2025-08-14T21:39:44.0796843Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleList:0, line 343 <- wrt source file
2025-08-14T21:39:44.0798026Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleList:0
2025-08-14T21:39:44.0799190Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleDict:0, line 523 <- wrt source file
2025-08-14T21:39:44.0800349Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleDict:0
2025-08-14T21:39:44.0801519Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterList:0, line 653 <- wrt source file
2025-08-14T21:39:44.0802839Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterList:0
2025-08-14T21:39:44.0804001Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterDict:0, line 808 <- wrt source file
2025-08-14T21:39:44.0805186Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterDict:0
2025-08-14T21:39:44.0806346Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0, line 38 <- wrt source file
2025-08-14T21:39:44.0808197Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0
2025-08-14T21:39:44.0809371Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0, line 81 <- wrt source file
2025-08-14T21:39:44.0815488Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0
2025-08-14T21:39:44.0816639Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout:0, line 60 <- wrt source file
2025-08-14T21:39:44.0820147Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout:0
2025-08-14T21:39:44.0821023Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout1d:0, line 108 <- wrt source file
2025-08-14T21:39:44.0825858Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout1d:0
2025-08-14T21:39:44.0827214Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout2d:0, line 163 <- wrt source file
2025-08-14T21:39:44.0844819Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout2d:0
2025-08-14T21:39:44.0846216Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout3d:0, line 211 <- wrt source file
2025-08-14T21:39:44.0902257Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout3d:0
2025-08-14T21:39:44.0904243Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0, line 257 <- wrt source file
2025-08-14T21:39:44.0907283Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0
2025-08-14T21:39:44.0908479Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0, line 309 <- wrt source file
2025-08-14T21:39:44.0966787Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0
2025-08-14T21:39:44.0967982Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Flatten:0, line 30 <- wrt source file
2025-08-14T21:39:44.0973506Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Flatten:0
2025-08-14T21:39:44.0974627Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Unflatten:0, line 87 <- wrt source file
2025-08-14T21:39:44.0988106Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Unflatten:0
2025-08-14T21:39:44.0989179Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Fold:0, line 224 <- wrt source file
2025-08-14T21:39:44.0993944Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Fold:0
2025-08-14T21:39:44.0994992Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Unfold:0, line 395 <- wrt source file
2025-08-14T21:39:44.1008007Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Unfold:0
2025-08-14T21:39:44.1008915Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0, line 187 <- wrt source file
2025-08-14T21:39:44.1021266Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0
2025-08-14T21:39:44.1034984Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0, line 303 <- wrt source file
2025-08-14T21:39:44.1163355Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0
2025-08-14T21:39:44.1164632Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0, line 419 <- wrt source file
2025-08-14T21:39:44.2954132Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0
2025-08-14T21:39:44.3131687Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0, line 77 <- wrt source file
2025-08-14T21:39:44.3136170Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0
2025-08-14T21:39:44.3137646Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Identity:0, line 34 <- wrt source file
2025-08-14T21:39:44.3144436Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Identity:0
2025-08-14T21:39:44.3145503Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Linear:0, line 83 <- wrt source file
2025-08-14T21:39:44.3155054Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Linear:0
2025-08-14T21:39:44.3156424Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Bilinear:0, line 191 <- wrt source file
2025-08-14T21:39:44.3172707Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Bilinear:0
2025-08-14T21:39:44.3173821Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::L1Loss:0, line 115 <- wrt source file
2025-08-14T21:39:44.3180794Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::L1Loss:0
2025-08-14T21:39:44.3181851Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::NLLLoss:0, line 215 <- wrt source file
2025-08-14T21:39:44.3205517Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::NLLLoss:0
2025-08-14T21:39:44.3206621Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0, line 329 <- wrt source file
2025-08-14T21:39:44.3213036Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0
2025-08-14T21:39:44.3214190Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0, line 418 <- wrt source file
2025-08-14T21:39:44.3227838Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0
2025-08-14T21:39:44.3228938Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::KLDivLoss:0, line 535 <- wrt source file
2025-08-14T21:39:44.3236428Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::KLDivLoss:0
2025-08-14T21:39:44.3237533Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MSELoss:0, line 617 <- wrt source file
2025-08-14T21:39:44.3243135Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MSELoss:0
2025-08-14T21:39:44.3244226Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCELoss:0, line 703 <- wrt source file
2025-08-14T21:39:44.3250521Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCELoss:0
2025-08-14T21:39:44.3251637Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0, line 778 <- wrt source file
2025-08-14T21:39:44.3262352Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0
2025-08-14T21:39:44.3263507Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1, line 826 <- wrt source file
2025-08-14T21:39:44.3268983Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1
2025-08-14T21:39:44.3270151Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0, line 974 <- wrt source file
2025-08-14T21:39:44.3277650Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0
2025-08-14T21:39:44.3278829Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0, line 1306 <- wrt source file
2025-08-14T21:39:44.3287333Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0
2025-08-14T21:39:44.3288499Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1, line 1333 <- wrt source file
2025-08-14T21:39:44.3290420Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1
2025-08-14T21:39:44.3291780Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0, line 1495 <- wrt source file
2025-08-14T21:39:44.3299938Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0
2025-08-14T21:39:44.3301113Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0, line 1562 <- wrt source file
2025-08-14T21:39:44.3307379Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0
2025-08-14T21:39:44.3308532Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0, line 1643 <- wrt source file
2025-08-14T21:39:44.3316346Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0
2025-08-14T21:39:44.3317496Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0, line 1745 <- wrt source file
2025-08-14T21:39:44.3327666Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0
2025-08-14T21:39:44.3328925Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0, line 1858 <- wrt source file
2025-08-14T21:39:44.3346122Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0
2025-08-14T21:39:44.3347296Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CTCLoss:0, line 1990 <- wrt source file
2025-08-14T21:39:44.3368814Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CTCLoss:0
2025-08-14T21:39:44.3369988Z * 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
2025-08-14T21:39:44.3371233Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.register_buffer:0
2025-08-14T21:39:44.3372426Z * 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
2025-08-14T21:39:44.3384505Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.apply:0
2025-08-14T21:39:44.3385614Z * 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
2025-08-14T21:39:44.3392848Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.to:0
2025-08-14T21:39:44.3394006Z * 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
2025-08-14T21:39:44.3395421Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.state_dict:0
2025-08-14T21:39:44.3396594Z * 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
2025-08-14T21:39:44.3397815Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.parameters:0
2025-08-14T21:39:44.3399016Z * 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
2025-08-14T21:39:44.3400263Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_parameters:0
2025-08-14T21:39:44.3401607Z * 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
2025-08-14T21:39:44.3402900Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.buffers:0
2025-08-14T21:39:44.3404054Z * 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
2025-08-14T21:39:44.3405259Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_buffers:0
2025-08-14T21:39:44.3406450Z * 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
2025-08-14T21:39:44.3407678Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_children:0
2025-08-14T21:39:44.3408850Z * 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
2025-08-14T21:39:44.3410018Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.modules:0
2025-08-14T21:39:44.3411170Z * 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
2025-08-14T21:39:44.3412632Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_modules:0
2025-08-14T21:39:44.3413854Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0, line 38 <- wrt source file
2025-08-14T21:39:44.3440166Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0
2025-08-14T21:39:44.3441378Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LayerNorm:0, line 163 <- wrt source file
2025-08-14T21:39:44.3449822Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LayerNorm:0
2025-08-14T21:39:44.3450994Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::GroupNorm:0, line 274 <- wrt source file
2025-08-14T21:39:44.3457515Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::GroupNorm:0
2025-08-14T21:39:44.3458675Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::RMSNorm:0, line 367 <- wrt source file
2025-08-14T21:39:44.3463275Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::RMSNorm:0
2025-08-14T21:39:44.3464419Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad1d:0, line 70 <- wrt source file
2025-08-14T21:39:44.3470252Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad1d:0
2025-08-14T21:39:44.3471402Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad2d:0, line 122 <- wrt source file
2025-08-14T21:39:44.3491859Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad2d:0
2025-08-14T21:39:44.3493032Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad3d:0, line 187 <- wrt source file
2025-08-14T21:39:44.8455611Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad3d:0
2025-08-14T21:39:44.8814098Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0, line 241 <- wrt source file
2025-08-14T21:39:44.8826833Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0
2025-08-14T21:39:44.8828513Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0, line 294 <- wrt source file
2025-08-14T21:39:44.8834313Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0
2025-08-14T21:39:44.8835966Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0, line 350 <- wrt source file
2025-08-14T21:39:44.8857184Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0
2025-08-14T21:39:44.8858898Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0, line 395 <- wrt source file
2025-08-14T21:39:44.8865117Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0
2025-08-14T21:39:44.8866793Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0, line 439 <- wrt source file
2025-08-14T21:39:44.8872471Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0
2025-08-14T21:39:44.8874144Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0, line 497 <- wrt source file
2025-08-14T21:39:44.8877772Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0
2025-08-14T21:39:44.8879466Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0, line 556 <- wrt source file
2025-08-14T21:39:44.8885282Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0
2025-08-14T21:39:44.8886974Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0, line 600 <- wrt source file
2025-08-14T21:39:44.8892465Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0
2025-08-14T21:39:44.8894162Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0, line 658 <- wrt source file
2025-08-14T21:39:45.2744720Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0
2025-08-14T21:39:45.3104840Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0, line 692 <- wrt source file
2025-08-14T21:39:45.3116444Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0
2025-08-14T21:39:45.3117394Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0, line 750 <- wrt source file
2025-08-14T21:39:45.3123182Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0
2025-08-14T21:39:45.3124264Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0, line 812 <- wrt source file
2025-08-14T21:39:45.3143498Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0
2025-08-14T21:39:45.3144889Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0, line 40 <- wrt source file
2025-08-14T21:39:45.3149916Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0
2025-08-14T21:39:45.3150868Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0, line 99 <- wrt source file
2025-08-14T21:39:45.3155717Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0
2025-08-14T21:39:45.3156641Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0, line 129 <- wrt source file
2025-08-14T21:39:45.3161621Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0
2025-08-14T21:39:45.3162647Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0, line 207 <- wrt source file
2025-08-14T21:39:45.3197744Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0
2025-08-14T21:39:45.3198865Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0, line 291 <- wrt source file
2025-08-14T21:39:45.4704403Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0
2025-08-14T21:39:45.4767009Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0, line 366 <- wrt source file
2025-08-14T21:39:45.4780315Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0
2025-08-14T21:39:45.4781541Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0, line 452 <- wrt source file
2025-08-14T21:39:45.4800604Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0
2025-08-14T21:39:45.4801749Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0, line 550 <- wrt source file
2025-08-14T21:39:45.5343092Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0
2025-08-14T21:39:45.5344293Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0, line 642 <- wrt source file
2025-08-14T21:39:45.5354149Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0
2025-08-14T21:39:45.5355327Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0, line 738 <- wrt source file
2025-08-14T21:39:45.5382822Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0
2025-08-14T21:39:45.5383949Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0, line 855 <- wrt source file
2025-08-14T21:39:45.6586778Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0
2025-08-14T21:39:45.6651500Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0, line 946 <- wrt source file
2025-08-14T21:39:45.6689046Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0
2025-08-14T21:39:45.6690726Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0, line 1033 <- wrt source file
2025-08-14T21:39:45.7127075Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0
2025-08-14T21:39:45.7128311Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool1d:0, line 1152 <- wrt source file
2025-08-14T21:39:45.7135366Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool1d:0
2025-08-14T21:39:45.7136497Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool2d:0, line 1204 <- wrt source file
2025-08-14T21:39:45.7171308Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool2d:0
2025-08-14T21:39:45.7172450Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool3d:0, line 1264 <- wrt source file
2025-08-14T21:39:45.8692581Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool3d:0
2025-08-14T21:39:45.8758161Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0, line 1320 <- wrt source file
2025-08-14T21:39:45.8766638Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0
2025-08-14T21:39:45.8768095Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0, line 1355 <- wrt source file
2025-08-14T21:39:45.8775277Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0
2025-08-14T21:39:45.8776532Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0, line 1399 <- wrt source file
2025-08-14T21:39:45.8866326Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0
2025-08-14T21:39:45.8867826Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0, line 1447 <- wrt source file
2025-08-14T21:39:45.8871031Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0
2025-08-14T21:39:45.8872234Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0, line 1481 <- wrt source file
2025-08-14T21:39:45.8879035Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0
2025-08-14T21:39:45.8880264Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0, line 1521 <- wrt source file
2025-08-14T21:39:45.8892982Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0
2025-08-14T21:39:45.8894071Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNN:0, line 595 <- wrt source file
2025-08-14T21:39:45.8904774Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNN:0
2025-08-14T21:39:45.8905855Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTM:0, line 953 <- wrt source file
2025-08-14T21:39:45.9055984Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTM:0
2025-08-14T21:39:45.9057668Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRU:0, line 1288 <- wrt source file
2025-08-14T21:39:45.9069801Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRU:0
2025-08-14T21:39:45.9070907Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNNCell:0, line 1537 <- wrt source file
2025-08-14T21:39:45.9080252Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNNCell:0
2025-08-14T21:39:45.9081334Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTMCell:0, line 1659 <- wrt source file
2025-08-14T21:39:45.9090430Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTMCell:0
2025-08-14T21:39:45.9091488Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRUCell:0, line 1773 <- wrt source file
2025-08-14T21:39:45.9102456Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRUCell:0
2025-08-14T21:39:45.9103554Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding:0, line 71 <- wrt source file
2025-08-14T21:39:45.9117512Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding:0
2025-08-14T21:39:45.9118696Z * 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
2025-08-14T21:39:45.9124037Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0
2025-08-14T21:39:45.9125226Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0, line 322 <- wrt source file
2025-08-14T21:39:45.9138967Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0
2025-08-14T21:39:45.9140219Z * 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
2025-08-14T21:39:45.9146400Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0
2025-08-14T21:39:45.9147633Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer:0, line 90 <- wrt source file
2025-08-14T21:39:46.6094446Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer:0
2025-08-14T21:39:46.6107320Z * 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
2025-08-14T21:39:46.6108675Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0
2025-08-14T21:39:46.6110357Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0, line 336 <- wrt source file
2025-08-14T21:39:46.7057303Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0
2025-08-14T21:39:46.7060195Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0, line 562 <- wrt source file
2025-08-14T21:39:46.9138474Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0
2025-08-14T21:39:46.9144551Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0, line 686 <- wrt source file
2025-08-14T21:39:46.9408391Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0
2025-08-14T21:39:46.9409799Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0, line 995 <- wrt source file
2025-08-14T21:39:46.9903406Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0
2025-08-14T21:39:46.9904678Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::Upsample:0, line 77 <- wrt source file
2025-08-14T21:39:46.9930527Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::Upsample:0
2025-08-14T21:39:46.9931790Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0, line 229 <- wrt source file
2025-08-14T21:39:46.9943260Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0
2025-08-14T21:39:46.9944549Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0, line 279 <- wrt source file
2025-08-14T21:39:46.9952137Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0
2025-08-14T21:39:46.9953503Z * 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
2025-08-14T21:39:46.9954569Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0
2025-08-14T21:39:46.9955586Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0, line 642 <- wrt source file
2025-08-14T21:39:46.9956637Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0
2025-08-14T21:39:46.9957672Z * 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
2025-08-14T21:39:46.9958736Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0
2025-08-14T21:39:46.9959774Z * 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
2025-08-14T21:39:46.9960832Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0
2025-08-14T21:39:46.9961984Z * 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
2025-08-14T21:39:46.9963514Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0
2025-08-14T21:39:46.9964641Z * 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
2025-08-14T21:39:46.9965766Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1
2025-08-14T21:39:46.9967060Z * 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
2025-08-14T21:39:46.9968275Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0
2025-08-14T21:39:46.9969456Z * 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
2025-08-14T21:39:46.9970619Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0
2025-08-14T21:39:46.9971677Z * 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
2025-08-14T21:39:46.9972660Z * 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
2025-08-14T21:39:46.9973533Z * 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
2025-08-14T21:39:46.9974349Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/init.py::skip_init:0
2025-08-14T21:39:46.9975263Z * 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
2025-08-14T21:39:46.9976311Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0
2025-08-14T21:39:46.9977330Z * 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
2025-08-14T21:39:46.9978395Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv3d_weight_memory_format:0
2025-08-14T21:39:46.9979353Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0, line 265 <- wrt source file
2025-08-14T21:39:46.9980266Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0
2025-08-14T21:39:46.9981159Z * 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
2025-08-14T21:39:46.9986126Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0
2025-08-14T21:39:46.9987104Z * 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
2025-08-14T21:39:46.9988055Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0
2025-08-14T21:39:46.9989075Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::identity:0, line 849 <- wrt source file
2025-08-14T21:39:46.9989910Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::identity:0
2025-08-14T21:39:46.9990744Z * 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
2025-08-14T21:39:46.9991627Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_unstructured:0
2025-08-14T21:39:46.9992464Z * 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
2025-08-14T21:39:46.9993379Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::l1_unstructured:0
2025-08-14T21:39:46.9994226Z * 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
2025-08-14T21:39:46.9995093Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_structured:0
2025-08-14T21:39:46.9995922Z * 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
2025-08-14T21:39:47.0005125Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::ln_structured:0
2025-08-14T21:39:47.0006017Z * 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
2025-08-14T21:39:47.0021659Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::global_unstructured:0
2025-08-14T21:39:47.0022756Z * 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
2025-08-14T21:39:47.0031193Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::custom_from_mask:0
2025-08-14T21:39:47.0032221Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::remove:0, line 1197 <- wrt source file
2025-08-14T21:39:47.0037719Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::remove:0
2025-08-14T21:39:47.0038735Z * 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
2025-08-14T21:39:47.0046320Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::is_pruned:0
2025-08-14T21:39:47.0047373Z * 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
2025-08-14T21:39:47.0062444Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0
2025-08-14T21:39:47.0063511Z * 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
2025-08-14T21:39:47.0068679Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_sequence:0
2025-08-14T21:39:47.0069720Z * 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
2025-08-14T21:39:47.0081749Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0
2025-08-14T21:39:47.0082938Z * 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
2025-08-14T21:39:47.0089894Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pack_sequence:0
2025-08-14T21:39:47.0090989Z * 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
2025-08-14T21:39:47.0108060Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0
2025-08-14T21:39:47.0109192Z * 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
2025-08-14T21:39:47.0115804Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0
2025-08-14T21:39:47.0117176Z * 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
2025-08-14T21:39:47.0122393Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0
2025-08-14T21:39:47.0123604Z * 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
2025-08-14T21:39:47.0126545Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/stateless.py::functional_call:0
2025-08-14T21:39:47.0127702Z * 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
2025-08-14T21:39:47.0133813Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0
2025-08-14T21:39:47.0135006Z * 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
2025-08-14T21:39:47.0139698Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0
2025-08-14T21:39:47.0140954Z * 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
2025-08-14T21:39:47.0142253Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0
2025-08-14T21:39:47.0143677Z * 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
2025-08-14T21:39:47.0146117Z * 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
2025-08-14T21:39:47.0147459Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0, line 280 <- wrt source file
2025-08-14T21:39:47.0148584Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0
2025-08-14T21:39:47.0149718Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0, line 388 <- wrt source file
2025-08-14T21:39:47.0150917Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0
2025-08-14T21:39:47.0152030Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::StepLR:0, line 491 <- wrt source file
2025-08-14T21:39:47.0153123Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::StepLR:0
2025-08-14T21:39:47.0154215Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0, line 547 <- wrt source file
2025-08-14T21:39:47.0155513Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0
2025-08-14T21:39:47.0156616Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0, line 608 <- wrt source file
2025-08-14T21:39:47.0157743Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0
2025-08-14T21:39:47.0158820Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LinearLR:0, line 683 <- wrt source file
2025-08-14T21:39:47.0160004Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LinearLR:0
2025-08-14T21:39:47.0161121Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0, line 773 <- wrt source file
2025-08-14T21:39:47.0162381Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0
2025-08-14T21:39:47.0163503Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0, line 820 <- wrt source file
2025-08-14T21:39:47.0164648Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0
2025-08-14T21:39:47.0165766Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0, line 971 <- wrt source file
2025-08-14T21:39:47.0166924Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0
2025-08-14T21:39:47.0168094Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0, line 1062 <- wrt source file
2025-08-14T21:39:47.0169302Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0
2025-08-14T21:39:47.0170477Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0, line 1134 <- wrt source file
2025-08-14T21:39:47.0171680Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0
2025-08-14T21:39:47.0172798Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0, line 1508 <- wrt source file
2025-08-14T21:39:47.0173903Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0
2025-08-14T21:39:47.0175099Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0, line 1749 <- wrt source file
2025-08-14T21:39:47.0176420Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0
2025-08-14T21:39:47.0177749Z * 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
2025-08-14T21:39:47.0179126Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0
2025-08-14T21:39:47.0180466Z * 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
2025-08-14T21:39:47.0181834Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1
2025-08-14T21:39:47.0183149Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0, line 1957 <- wrt source file
2025-08-14T21:39:47.0184283Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0
2025-08-14T21:39:47.0185440Z * 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
2025-08-14T21:39:47.0186703Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/optimizer.py::Optimizer.load_state_dict:0
2025-08-14T21:39:47.0187863Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:0, line 152 <- wrt source file
2025-08-14T21:39:47.0189069Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:0
2025-08-14T21:39:47.0190177Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:1, line 178 <- wrt source file
2025-08-14T21:39:47.0191298Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:1
2025-08-14T21:39:47.0192388Z * 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
2025-08-14T21:39:47.0193467Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::update_bn:0
2025-08-14T21:39:47.0194505Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::SWALR:0, line 396 <- wrt source file
2025-08-14T21:39:47.0195444Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::SWALR:0
2025-08-14T21:39:47.0196286Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/package/glob_group.py::GlobGroup:0, line 22 <- wrt source file
2025-08-14T21:39:47.0197143Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/package/glob_group.py::GlobGroup:0
2025-08-14T21:39:47.0198097Z * 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
2025-08-14T21:39:47.0199157Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0
2025-08-14T21:39:47.0200082Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::profile:0, line 617 <- wrt source file
2025-08-14T21:39:47.0200918Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::profile:0
2025-08-14T21:39:47.0201795Z * 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
2025-08-14T21:39:47.0202866Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0
2025-08-14T21:39:47.0203777Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py::assert_close:0, line 1466 <- wrt source file
2025-08-14T21:39:47.0220034Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py::assert_close:0
2025-08-14T21:39:47.0221149Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_creation.py::make_tensor:0, line 114 <- wrt source file
2025-08-14T21:39:47.0222243Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_creation.py::make_tensor:0
2025-08-14T21:39:47.0223545Z * 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
2025-08-14T21:39:47.0224728Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::parametrize:0
2025-08-14T21:39:47.0225896Z * 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
2025-08-14T21:39:47.0227094Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::reparametrize:0
2025-08-14T21:39:47.0228236Z * 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
2025-08-14T21:39:47.0229314Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::decorateIf:0
2025-08-14T21:39:47.0230315Z * 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
2025-08-14T21:39:47.0231370Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::random_symmetric_psd_matrix:0
2025-08-14T21:39:47.0232388Z * 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
2025-08-14T21:39:47.0233426Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_psd_matrix:0
2025-08-14T21:39:47.0234460Z * 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
2025-08-14T21:39:47.0235499Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_pd_matrix:0
2025-08-14T21:39:47.0236466Z * 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
2025-08-14T21:39:47.0237435Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/logging_utils.py::logs_to_string:0
2025-08-14T21:39:47.0238422Z * 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
2025-08-14T21:39:47.0239455Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/logging_utils.py::multiple_logs_to_string:0
2025-08-14T21:39:47.0240532Z * 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
2025-08-14T21:39:47.0241681Z * 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
2025-08-14T21:39:47.0242936Z * 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
2025-08-14T21:39:47.0249758Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0
2025-08-14T21:39:47.0251070Z * 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
2025-08-14T21:39:47.0252217Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::register_pytree_node:0
2025-08-14T21:39:47.0253394Z * 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
2025-08-14T21:39:47.0257340Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0
2025-08-14T21:39:47.0258395Z * 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
2025-08-14T21:39:47.0264974Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0
2025-08-14T21:39:47.0266180Z * 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
2025-08-14T21:39:47.0269572Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0
2025-08-14T21:39:47.0270433Z * 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
2025-08-14T21:39:47.0276088Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0
2025-08-14T21:39:47.0276947Z * 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
2025-08-14T21:39:47.0281357Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0
2025-08-14T21:39:47.0282524Z * 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
2025-08-14T21:39:47.0286706Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0
2025-08-14T21:39:47.0287769Z * 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
2025-08-14T21:39:47.0292813Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_map:0
2025-08-14T21:39:47.0293673Z * 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
2025-08-14T21:39:47.0302021Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0
2025-08-14T21:39:47.0303121Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_dataclass:0, line 303 <- wrt source file
2025-08-14T21:39:47.0312773Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_dataclass:0
2025-08-14T21:39:47.0313845Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_constant:0, line 419 <- wrt source file
2025-08-14T21:39:47.0322231Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_constant:0
2025-08-14T21:39:47.0323282Z * 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
2025-08-14T21:39:47.0329716Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_is_leaf:0
2025-08-14T21:39:47.0330716Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_map:0, line 1345 <- wrt source file
2025-08-14T21:39:47.0335626Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_map:0
2025-08-14T21:39:47.0336966Z * 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
2025-08-14T21:39:47.0338246Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0
2025-08-14T21:39:47.0339558Z * 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
2025-08-14T21:39:47.0340968Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0
2025-08-14T21:39:47.0342352Z * 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
2025-08-14T21:39:47.0343570Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::_get_custom_mod_func:0
2025-08-14T21:39:47.0344740Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0, line 547 <- wrt source file
2025-08-14T21:39:47.0345888Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0
2025-08-14T21:39:47.0347025Z * 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
2025-08-14T21:39:47.0348134Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0
2025-08-14T21:39:47.0349075Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0, line 1226 <- wrt source file
2025-08-14T21:39:47.0350050Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0
2025-08-14T21:39:47.0351040Z * 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
2025-08-14T21:39:47.0352593Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::create_selective_checkpoint_contexts:0
2025-08-14T21:39:47.0353527Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CppExtension:0, line 1175 <- wrt source file
2025-08-14T21:39:47.0354409Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CppExtension:0
2025-08-14T21:39:47.0355273Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0, line 1247 <- wrt source file
2025-08-14T21:39:47.0356157Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0
2025-08-14T21:39:47.0357020Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1, line 1325 <- wrt source file
2025-08-14T21:39:47.0357896Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1
2025-08-14T21:39:47.0358744Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::SyclExtension:0, line 1436 <- wrt source file
2025-08-14T21:39:47.0359613Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::SyclExtension:0
2025-08-14T21:39:47.0360450Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::load:0, line 1672 <- wrt source file
2025-08-14T21:39:47.0361352Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::load:0
2025-08-14T21:39:47.0362269Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::load_inline:0, line 1965 <- wrt source file
2025-08-14T21:39:47.0363131Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::load_inline:0
2025-08-14T21:39:47.0363942Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/dlpack.py::from_dlpack:0, line 93 <- wrt source file
2025-08-14T21:39:47.0375064Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/dlpack.py::from_dlpack:0
2025-08-14T21:39:47.0376338Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0, line 77 <- wrt source file
2025-08-14T21:39:47.0377597Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0
2025-08-14T21:39:47.0378656Z * 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
2025-08-14T21:39:47.0796395Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0
2025-08-14T21:39:47.0797630Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::IterableDataset:0, line 94 <- wrt source file
2025-08-14T21:39:47.0803437Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::IterableDataset:0
2025-08-14T21:39:47.0804561Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::StackDataset:0, line 219 <- wrt source file
2025-08-14T21:39:47.0805688Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::StackDataset:0
2025-08-14T21:39:47.0806764Z * 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
2025-08-14T21:39:47.0807850Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::random_split:0
2025-08-14T21:39:47.0808769Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/distributed.py::DistributedSampler:0, line 55 <- wrt source file
2025-08-14T21:39:47.0809758Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/distributed.py::DistributedSampler:0
2025-08-14T21:39:47.0810646Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::Sampler:0, line 40 <- wrt source file
2025-08-14T21:39:47.0811493Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::Sampler:0
2025-08-14T21:39:47.0812605Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0, line 238 <- wrt source file
2025-08-14T21:39:47.0813589Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0
2025-08-14T21:39:47.0814500Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::BatchSampler:0, line 309 <- wrt source file
2025-08-14T21:39:47.0819165Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::BatchSampler:0
2025-08-14T21:39:47.0820321Z * 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
2025-08-14T21:39:47.0822387Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_convert:0
2025-08-14T21:39:47.0823498Z * 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
2025-08-14T21:39:47.0827555Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::collate:0
2025-08-14T21:39:47.0828674Z * 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
2025-08-14T21:39:47.0833268Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_collate:0
2025-08-14T21:39:47.0835401Z * 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
2025-08-14T21:39:47.0836660Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0
2025-08-14T21:39:47.0837831Z * 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
2025-08-14T21:39:47.0838820Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0
2025-08-14T21:39:47.0839810Z * 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
2025-08-14T21:39:47.0840882Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0
2025-08-14T21:39:47.0842024Z * 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
2025-08-14T21:39:47.0843216Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0
2025-08-14T21:39:47.0844290Z * 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
2025-08-14T21:39:47.0845416Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0
2025-08-14T21:39:47.0846506Z * 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
2025-08-14T21:39:47.0872975Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0
2025-08-14T21:39:47.0874352Z * 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
2025-08-14T21:39:47.0875696Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0
2025-08-14T21:39:47.0876969Z * 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
2025-08-14T21:39:47.0878268Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0
2025-08-14T21:39:47.0879338Z * 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
2025-08-14T21:39:47.0880578Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0
2025-08-14T21:39:47.0881688Z * 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
2025-08-14T21:39:47.0882891Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0
2025-08-14T21:39:47.0883987Z * 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
2025-08-14T21:39:47.0885127Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0
2025-08-14T21:39:47.0886239Z * 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
2025-08-14T21:39:47.0887365Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0
2025-08-14T21:39:47.0888464Z * 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
2025-08-14T21:39:47.0889614Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0
2025-08-14T21:39:47.0890765Z * 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
2025-08-14T21:39:47.0891851Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0
2025-08-14T21:39:47.0892928Z * 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
2025-08-14T21:39:47.0894026Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0
2025-08-14T21:39:47.0895095Z * 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
2025-08-14T21:39:47.0896169Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::GrouperIterDataPipe:0
2025-08-14T21:39:47.0897226Z * 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
2025-08-14T21:39:47.0898299Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0
2025-08-14T21:39:47.0899372Z * 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
2025-08-14T21:39:47.0900525Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0
2025-08-14T21:39:47.0901629Z * 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
2025-08-14T21:39:47.0902745Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0
2025-08-14T21:39:47.0903873Z * 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
2025-08-14T21:39:47.0904933Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0
2025-08-14T21:39:47.0905989Z * 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
2025-08-14T21:39:47.0907110Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0
2025-08-14T21:39:47.0908235Z * 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
2025-08-14T21:39:47.0909297Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0
2025-08-14T21:39:47.0910335Z * 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
2025-08-14T21:39:47.0911380Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0
2025-08-14T21:39:47.0912589Z * 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
2025-08-14T21:39:47.0913652Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0
2025-08-14T21:39:47.0914699Z * 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
2025-08-14T21:39:47.0915791Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0
2025-08-14T21:39:47.0916826Z * 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
2025-08-14T21:39:47.0917852Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0
2025-08-14T21:39:47.0918860Z * 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
2025-08-14T21:39:47.0919885Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0
2025-08-14T21:39:47.0920852Z * 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
2025-08-14T21:39:47.0921877Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0
2025-08-14T21:39:47.0922854Z * 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
2025-08-14T21:39:47.0923841Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0
2025-08-14T21:39:47.0924816Z * 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
2025-08-14T21:39:47.0925819Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0
2025-08-14T21:39:47.0926952Z * 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
2025-08-14T21:39:47.0927964Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0
2025-08-14T21:39:47.0928950Z * 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
2025-08-14T21:39:47.0929955Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0
2025-08-14T21:39:47.0931051Z * 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
2025-08-14T21:39:47.0932099Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0
2025-08-14T21:39:47.0933434Z * 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
2025-08-14T21:39:47.0934499Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0
2025-08-14T21:39:47.0936083Z * 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
2025-08-14T21:39:47.0937790Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0
2025-08-14T21:39:47.0939406Z * 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
2025-08-14T21:39:47.0941162Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0
2025-08-14T21:39:47.0942675Z * 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
2025-08-14T21:39:47.0944332Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0
2025-08-14T21:39:47.0945845Z * 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
2025-08-14T21:39:47.0946943Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0
2025-08-14T21:39:47.0947963Z * 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
2025-08-14T21:39:47.0949143Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0
2025-08-14T21:39:47.0950155Z * 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
2025-08-14T21:39:47.0951205Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0
2025-08-14T21:39:47.0952212Z * 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
2025-08-14T21:39:47.0953242Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0
2025-08-14T21:39:47.0954452Z * 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
2025-08-14T21:39:47.0955615Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0
2025-08-14T21:39:47.0956740Z * 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
2025-08-14T21:39:47.0957876Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0
2025-08-14T21:39:47.0959056Z * 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
2025-08-14T21:39:47.0960134Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0
2025-08-14T21:39:47.0961140Z * 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
2025-08-14T21:39:47.0962239Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0
2025-08-14T21:39:47.0962767Z ============
2025-08-14T21:39:47.0962962Z Finished doctests
2025-08-14T21:39:47.0963135Z 374 / 863 passed
2025-08-14T21:39:47.0963312Z 
2025-08-14T21:39:47.0963528Z === Found 17 parse-time warnings ===
2025-08-14T21:39:47.0963845Z --- Parse Warning: 1 / 17 ---
2025-08-14T21:39:47.0964607Z     /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.
2025-08-14T21:39:47.0965461Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T21:39:47.0965888Z     Registers the function implementation as the fallback for the given key.
2025-08-14T21:39:47.0966203Z     
2025-08-14T21:39:47.0966443Z             This function only works for a library with global namespace ("_").
2025-08-14T21:39:47.0966738Z     
2025-08-14T21:39:47.0966883Z             Args:
2025-08-14T21:39:47.0967176Z                 fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel`
2025-08-14T21:39:47.0967538Z                     to register a fallthrough.
2025-08-14T21:39:47.0967952Z                 dispatch_key: dispatch key that the input function should be registered for. By default, it uses
2025-08-14T21:39:47.0968388Z                               the dispatch key that the library was created with.
2025-08-14T21:39:47.0968842Z                 with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument
2025-08-14T21:39:47.0969417Z                              to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls.
2025-08-14T21:39:47.0969784Z     
2025-08-14T21:39:47.0969925Z             Example::
2025-08-14T21:39:47.0970097Z     
2025-08-14T21:39:47.0970253Z                 >>> my_lib = Library("_", "IMPL")
2025-08-14T21:39:47.0970505Z                 >>> def fallback_kernel(op, *args, **kwargs):
2025-08-14T21:39:47.0970773Z                 >>>     # Handle all autocast ops generically
2025-08-14T21:39:47.0971008Z                 >>>     # ...
2025-08-14T21:39:47.0971237Z                 >>> my_lib.fallback(fallback_kernel, "Autocast")
2025-08-14T21:39:47.0971478Z             
2025-08-14T21:39:47.0972006Z     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))
2025-08-14T21:39:47.0972649Z     
2025-08-14T21:39:47.0972817Z     my_lib.fallback(fallback_kernel, "Autocast")
2025-08-14T21:39:47.0973046Z     ^
2025-08-14T21:39:47.0973197Z       warnings.warn(msg)
2025-08-14T21:39:47.0973368Z     
2025-08-14T21:39:47.0973577Z --- Parse Warning: 2 / 17 ---
2025-08-14T21:39:47.0974334Z     /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.
2025-08-14T21:39:47.0975156Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T21:39:47.0975683Z     Register a FakeTensor implementation ("fake impl") for this operator.
2025-08-14T21:39:47.0975990Z     
2025-08-14T21:39:47.0976214Z         Also sometimes known as a "meta kernel", "abstract impl".
2025-08-14T21:39:47.0976481Z     
2025-08-14T21:39:47.0976720Z         An "FakeTensor implementation" specifies the behavior of this operator on
2025-08-14T21:39:47.0977126Z         Tensors that carry no data ("FakeTensor"). Given some input Tensors with
2025-08-14T21:39:47.0977522Z         certain properties (sizes/strides/storage_offset/device), it specifies
2025-08-14T21:39:47.0977863Z         what the properties of the output Tensors are.
2025-08-14T21:39:47.0978109Z     
2025-08-14T21:39:47.0978347Z         The FakeTensor implementation has the same signature as the operator.
2025-08-14T21:39:47.0978721Z         It is run for both FakeTensors and meta tensors. To write a FakeTensor
2025-08-14T21:39:47.0979097Z         implementation, assume that all Tensor inputs to the operator are
2025-08-14T21:39:47.0979474Z         regular CPU/CUDA/Meta tensors, but they do not have storage, and
2025-08-14T21:39:47.0979845Z         you are trying to return regular CPU/CUDA/Meta tensor(s) as output.
2025-08-14T21:39:47.0980225Z         The FakeTensor implementation must consist of only PyTorch operations
2025-08-14T21:39:47.0980593Z         (and may not directly access the storage or data of any input or
2025-08-14T21:39:47.0980882Z         intermediate Tensors).
2025-08-14T21:39:47.0981075Z     
2025-08-14T21:39:47.0981269Z         This API may be used as a decorator (see examples).
2025-08-14T21:39:47.0981514Z     
2025-08-14T21:39:47.0981687Z         For a detailed guide on custom ops, please see
2025-08-14T21:39:47.0982039Z         https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html
2025-08-14T21:39:47.0982347Z     
2025-08-14T21:39:47.0982482Z         Args:
2025-08-14T21:39:47.0982736Z             op_name: Operator name (along with the overload) or OpOverload object.
2025-08-14T21:39:47.0983062Z             func: Fake tensor implementation.
2025-08-14T21:39:47.0983368Z             lib (Optional[Library]): Library to register the fake tensor to.
2025-08-14T21:39:47.0983714Z             allow_override: Flag controlling if we want to override an
2025-08-14T21:39:47.0984041Z                             existing registered fake impl. This is by default off,
2025-08-14T21:39:47.0984366Z                             and will error you're trying to register a fake impl to
2025-08-14T21:39:47.0984687Z                             an operator that already has a fake impl. This also only
2025-08-14T21:39:47.0985004Z                             applies if the custom operator was not created via
2025-08-14T21:39:47.0985324Z                             torch.library.custom_op, as overriding and existing fake
2025-08-14T21:39:47.0985627Z                             impl is already allowed.
2025-08-14T21:39:47.0985835Z     
2025-08-14T21:39:47.0985990Z         Examples:
2025-08-14T21:39:47.0986161Z             >>> import torch
2025-08-14T21:39:47.0986355Z             >>> import numpy as np
2025-08-14T21:39:47.0986571Z             >>> from torch import Tensor
2025-08-14T21:39:47.0986856Z             >>>
2025-08-14T21:39:47.0987083Z             >>> # Example 1: an operator without data-dependent output shape
2025-08-14T21:39:47.0987462Z             >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=())
2025-08-14T21:39:47.0987852Z             >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-08-14T21:39:47.0988220Z             >>>     raise NotImplementedError("Implementation goes here")
2025-08-14T21:39:47.0988490Z             >>>
2025-08-14T21:39:47.0988711Z             >>> @torch.library.register_fake("mylib::custom_linear")
2025-08-14T21:39:47.0988988Z             >>> def _(x, weight, bias):
2025-08-14T21:39:47.0989202Z             >>>     assert x.dim() == 2
2025-08-14T21:39:47.0989428Z             >>>     assert weight.dim() == 2
2025-08-14T21:39:47.0989660Z             >>>     assert bias.dim() == 1
2025-08-14T21:39:47.0989968Z             >>>     assert x.shape[1] == weight.shape[1]
2025-08-14T21:39:47.0990247Z             >>>     assert weight.shape[0] == bias.shape[0]
2025-08-14T21:39:47.0990515Z             >>>     assert x.device == weight.device
2025-08-14T21:39:47.0990747Z             >>>
2025-08-14T21:39:47.0990919Z             >>>     return (x @ weight.t()) + bias
2025-08-14T21:39:47.0991141Z             >>>
2025-08-14T21:39:47.0991361Z             >>> with torch._subclasses.fake_tensor.FakeTensorMode():
2025-08-14T21:39:47.0991633Z             >>>     x = torch.randn(2, 3)
2025-08-14T21:39:47.0991860Z             >>>     w = torch.randn(3, 3)
2025-08-14T21:39:47.0992079Z             >>>     b = torch.randn(3)
2025-08-14T21:39:47.0992326Z             >>>     y = torch.ops.mylib.custom_linear(x, w, b)
2025-08-14T21:39:47.0992563Z             >>>
2025-08-14T21:39:47.0992728Z             >>> assert y.shape == (2, 3)
2025-08-14T21:39:47.0992931Z             >>>
2025-08-14T21:39:47.0993141Z             >>> # Example 2: an operator with data-dependent output shape
2025-08-14T21:39:47.0993500Z             >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=())
2025-08-14T21:39:47.0993838Z             >>> def custom_nonzero(x: Tensor) -> Tensor:
2025-08-14T21:39:47.0994086Z             >>>     x_np = x.numpy(force=True)
2025-08-14T21:39:47.0994338Z             >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-08-14T21:39:47.0994611Z             >>>     return torch.tensor(res, device=x.device)
2025-08-14T21:39:47.0994844Z             >>>
2025-08-14T21:39:47.0995075Z             >>> @torch.library.register_fake("mylib::custom_nonzero")
2025-08-14T21:39:47.0995345Z             >>> def _(x):
2025-08-14T21:39:47.0995567Z             >>> # Number of nonzero-elements is data-dependent.
2025-08-14T21:39:47.0995860Z             >>> # Since we cannot peek at the data in an fake impl,
2025-08-14T21:39:47.0996159Z             >>> # we use the ctx object to construct a new symint that
2025-08-14T21:39:47.0996442Z             >>> # represents the data-dependent size.
2025-08-14T21:39:47.0996690Z             >>>     ctx = torch.library.get_ctx()
2025-08-14T21:39:47.0996937Z             >>>     nnz = ctx.new_dynamic_size()
2025-08-14T21:39:47.0997175Z             >>>     shape = [nnz, x.dim()]
2025-08-14T21:39:47.0997431Z             >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-08-14T21:39:47.0997691Z             >>>     return result
2025-08-14T21:39:47.0997888Z             >>>
2025-08-14T21:39:47.0998106Z             >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-08-14T21:39:47.0998364Z             >>>
2025-08-14T21:39:47.0998535Z             >>> x = torch.tensor([0, 1, 2, 3, 4, 0])
2025-08-14T21:39:47.0998863Z             >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x)
2025-08-14T21:39:47.0999201Z             >>> trace.print_readable()
2025-08-14T21:39:47.0999406Z             >>>
2025-08-14T21:39:47.0999656Z             >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x))
2025-08-14T21:39:47.0999962Z     
2025-08-14T21:39:47.1000106Z         
2025-08-14T21:39:47.1000651Z     Original Error: IndentationError('expected an indented block after function definition on line 37', ('<source_block>', 38, 1, '_._ = None\n', 38, 2))
2025-08-14T21:39:47.1001145Z     
2025-08-14T21:39:47.1001280Z     _._ = None
2025-08-14T21:39:47.1001429Z     ^
2025-08-14T21:39:47.1001595Z       warnings.warn(msg)
2025-08-14T21:39:47.1001771Z     
2025-08-14T21:39:47.1002033Z --- Parse Warning: 3 / 17 ---
2025-08-14T21:39:47.1002779Z     /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.
2025-08-14T21:39:47.1003601Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T21:39:47.1004009Z     Returns the computed kernel for a given operator and dispatch key.
2025-08-14T21:39:47.1004371Z     
2025-08-14T21:39:47.1004610Z         This function retrieves the kernel that would be executed for a given
2025-08-14T21:39:47.1005017Z         operator and dispatch key combination. The returned SafeKernelFunction
2025-08-14T21:39:47.1005394Z         can be used to call the kernel in a boxed fashion. The intended use
2025-08-14T21:39:47.1005755Z         case for this function is to retrieve the original kernel for a given
2025-08-14T21:39:47.1006127Z         dispatch key and then register another kernel to the same dispatch key
2025-08-14T21:39:47.1006478Z         that calls into the original kernel for certain cases.
2025-08-14T21:39:47.1006732Z     
2025-08-14T21:39:47.1006872Z         Args:
2025-08-14T21:39:47.1007105Z             op: Operator name (along with the overload) or OpOverload object
2025-08-14T21:39:47.1007492Z                 Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef.
2025-08-14T21:39:47.1007915Z             dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for.
2025-08-14T21:39:47.1008321Z                 Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value.
2025-08-14T21:39:47.1008604Z     
2025-08-14T21:39:47.1008746Z         Returns:
2025-08-14T21:39:47.1009003Z             torch._C._SafeKernelFunction: A safe kernel function that can be used to
2025-08-14T21:39:47.1009326Z                 call the kernel.
2025-08-14T21:39:47.1009515Z     
2025-08-14T21:39:47.1009652Z         Raises:
2025-08-14T21:39:47.1009850Z             RuntimeError: If the operator does not exist.
2025-08-14T21:39:47.1010087Z     
2025-08-14T21:39:47.1010223Z         Example:
2025-08-14T21:39:47.1010411Z             >>> # Get the CPU kernel for torch.add
2025-08-14T21:39:47.1010713Z             >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU")
2025-08-14T21:39:47.1010983Z             >>>
2025-08-14T21:39:47.1011152Z             >>> # You can also use DispatchKey enum
2025-08-14T21:39:47.1011503Z             >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU)
2025-08-14T21:39:47.1012051Z             >>>
2025-08-14T21:39:47.1012248Z             >>> # Or use an OpOverload directly
2025-08-14T21:39:47.1021829Z             >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU")
2025-08-14T21:39:47.1022231Z             >>>
2025-08-14T21:39:47.1022510Z             >>> # Example: Using get_kernel in a custom op with conditional dispatch
2025-08-14T21:39:47.1022848Z             >>> # Get the original kernel for torch.sin
2025-08-14T21:39:47.1023182Z             >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU")
2025-08-14T21:39:47.1023485Z             >>>
2025-08-14T21:39:47.1023745Z             >>> # If input has negative values, use original sin, otherwise return zeros
2025-08-14T21:39:47.1024092Z             >>> def conditional_sin_impl(dispatch_keys, x):
2025-08-14T21:39:47.1024355Z             >>>     if (x < 0).any():
2025-08-14T21:39:47.1024644Z             >>>         return original_sin_kernel.call_boxed(dispatch_keys, x)
2025-08-14T21:39:47.1024932Z             >>>     else:
2025-08-14T21:39:47.1025288Z             >>>         return torch.zeros_like(x)
2025-08-14T21:39:47.1025511Z             >>>
2025-08-14T21:39:47.1025707Z             >>> lib = torch.library.Library("aten", "IMPL")
2025-08-14T21:39:47.1026063Z             >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet
2025-08-14T21:39:47.1026467Z             >>> which needs to be the first argument to ``kernel.call_boxed``
2025-08-14T21:39:47.1026821Z             >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True)
2025-08-14T21:39:47.1027096Z             >>>
2025-08-14T21:39:47.1027293Z             >>> # Test the conditional behavior
2025-08-14T21:39:47.1027543Z             >>> x_positive = torch.tensor([1.0, 2.0])
2025-08-14T21:39:47.1027795Z             >>> x_mixed = torch.tensor([-1.0, 2.0])
2025-08-14T21:39:47.1028029Z             >>> torch.sin(x_positive)
2025-08-14T21:39:47.1028346Z             tensor([0., 0.])
2025-08-14T21:39:47.1028559Z             >>> torch.sin(x_mixed)
2025-08-14T21:39:47.1028774Z             tensor([-0.8415, 0.9093])
2025-08-14T21:39:47.1028973Z         
2025-08-14T21:39:47.1029399Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12))
2025-08-14T21:39:47.1029868Z     
2025-08-14T21:39:47.1030080Z     which needs to be the first argument to ``kernel.call_boxed``
2025-08-14T21:39:47.1030369Z           ^
2025-08-14T21:39:47.1030532Z       warnings.warn(msg)
2025-08-14T21:39:47.1030710Z     
2025-08-14T21:39:47.1030977Z --- Parse Warning: 4 / 17 ---
2025-08-14T21:39:47.1031772Z     /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.
2025-08-14T21:39:47.1032642Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T21:39:47.1033076Z     Check if the current accelerator is available at runtime: it was build, all the
2025-08-14T21:39:47.1033491Z         required drivers are available and at least one device is visible.
2025-08-14T21:39:47.1033840Z         See :ref:`accelerator<accelerators>` for details.
2025-08-14T21:39:47.1034083Z     
2025-08-14T21:39:47.1034231Z         Returns:
2025-08-14T21:39:47.1034528Z             bool: A boolean indicating if there is an available :ref:`accelerator<accelerators>`.
2025-08-14T21:39:47.1034853Z     
2025-08-14T21:39:47.1035124Z         .. note:: This API delegates to the device-specific version of `is_available`.
2025-08-14T21:39:47.1035561Z             On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set,
2025-08-14T21:39:47.1035998Z             this function will NOT poison fork. Otherwise, it will. For more details, see
2025-08-14T21:39:47.1036363Z             :ref:`multiprocessing-poison-fork-note`.
2025-08-14T21:39:47.1036602Z     
2025-08-14T21:39:47.1036754Z         Example::
2025-08-14T21:39:47.1036907Z     
2025-08-14T21:39:47.1037176Z             >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-08-14T21:39:47.1037505Z         
2025-08-14T21:39:47.1037975Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78))
2025-08-14T21:39:47.1038494Z     
2025-08-14T21:39:47.1038749Z     assert torch.accelerator.is_available() "No available accelerators detected."
2025-08-14T21:39:47.1039081Z                                             ^
2025-08-14T21:39:47.1039304Z       warnings.warn(msg)
2025-08-14T21:39:47.1039483Z     
2025-08-14T21:39:47.1039696Z --- Parse Warning: 5 / 17 ---
2025-08-14T21:39:47.1040490Z     /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.
2025-08-14T21:39:47.1041435Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T21:39:47.1041931Z     Wait for all kernels in all streams on the given device to complete.
2025-08-14T21:39:47.1042223Z     
2025-08-14T21:39:47.1042370Z         Args:
2025-08-14T21:39:47.1042680Z             device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match
2025-08-14T21:39:47.1043145Z                 the current :ref:`accelerator<accelerators>` device type. If not given,
2025-08-14T21:39:47.1043523Z                 use :func:`torch.accelerator.current_device_index` by default.
2025-08-14T21:39:47.1043799Z     
2025-08-14T21:39:47.1044093Z         .. note:: This function is a no-op if the current :ref:`accelerator<accelerators>` is not initialized.
2025-08-14T21:39:47.1044455Z     
2025-08-14T21:39:47.1044677Z         Example::
2025-08-14T21:39:47.1044841Z     
2025-08-14T21:39:47.1045017Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-08-14T21:39:47.1045394Z             >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-08-14T21:39:47.1045768Z             >>> start_event = torch.Event(enable_timing=True)
2025-08-14T21:39:47.1046049Z             >>> end_event = torch.Event(enable_timing=True)
2025-08-14T21:39:47.1046292Z             >>> start_event.record()
2025-08-14T21:39:47.1046606Z             >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator())
2025-08-14T21:39:47.1046936Z             >>> sum = torch.sum(tensor)
2025-08-14T21:39:47.1047150Z             >>> end_event.record()
2025-08-14T21:39:47.1047383Z             >>> torch.accelerator.synchronize()
2025-08-14T21:39:47.1047673Z             >>> elapsed_time_ms = start_event.elapsed_time(end_event)
2025-08-14T21:39:47.1047929Z         
2025-08-14T21:39:47.1048405Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78))
2025-08-14T21:39:47.1048924Z     
2025-08-14T21:39:47.1049188Z     assert torch.accelerator.is_available() "No available accelerators detected."
2025-08-14T21:39:47.1049518Z                                             ^
2025-08-14T21:39:47.1049733Z       warnings.warn(msg)
2025-08-14T21:39:47.1049908Z     
2025-08-14T21:39:47.1050115Z --- Parse Warning: 6 / 17 ---
2025-08-14T21:39:47.1050876Z     /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.
2025-08-14T21:39:47.1051691Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T21:39:47.1052031Z     Retrieves the CUDA runtime API module.
2025-08-14T21:39:47.1052244Z     
2025-08-14T21:39:47.1052377Z     
2025-08-14T21:39:47.1052634Z         This function initializes the CUDA runtime environment if it is not already
2025-08-14T21:39:47.1053045Z         initialized and returns the CUDA runtime API module (_cudart). The CUDA
2025-08-14T21:39:47.1053444Z         runtime API module provides access to various CUDA runtime functions.
2025-08-14T21:39:47.1053742Z     
2025-08-14T21:39:47.1053878Z         Args:
2025-08-14T21:39:47.1054033Z             ``None``
2025-08-14T21:39:47.1054197Z     
2025-08-14T21:39:47.1054325Z         Returns:
2025-08-14T21:39:47.1054525Z             module: The CUDA runtime API module (_cudart).
2025-08-14T21:39:47.1054771Z     
2025-08-14T21:39:47.1054914Z         Raises:
2025-08-14T21:39:47.1055170Z             RuntimeError: If CUDA cannot be re-initialized in a forked subprocess.
2025-08-14T21:39:47.1055656Z             AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable.
2025-08-14T21:39:47.1056045Z     
2025-08-14T21:39:47.1056216Z         Example of CUDA operations with profiling:
2025-08-14T21:39:47.1056461Z             >>> import torch
2025-08-14T21:39:47.1056762Z             >>> from torch.cuda import cudart, check_error
2025-08-14T21:39:47.1057000Z             >>> import os
2025-08-14T21:39:47.1057181Z             >>>
2025-08-14T21:39:47.1057371Z             >>> os.environ["CUDA_PROFILE"] = "1"
2025-08-14T21:39:47.1057593Z             >>>
2025-08-14T21:39:47.1057786Z             >>> def perform_cuda_operations_with_streams():
2025-08-14T21:39:47.1058050Z             >>>     stream = torch.cuda.Stream()
2025-08-14T21:39:47.1058294Z             >>>     with torch.cuda.stream(stream):
2025-08-14T21:39:47.1058549Z             >>>         x = torch.randn(100, 100, device='cuda')
2025-08-14T21:39:47.1058814Z             >>>         y = torch.randn(100, 100, device='cuda')
2025-08-14T21:39:47.1059057Z             >>>         z = torch.mul(x, y)
2025-08-14T21:39:47.1059274Z             >>>     return z
2025-08-14T21:39:47.1059531Z             >>>
2025-08-14T21:39:47.1059713Z             >>> torch.cuda.synchronize()
2025-08-14T21:39:47.1059963Z             >>> print("====== Start nsys profiling ======")
2025-08-14T21:39:47.1060242Z             >>> check_error(cudart().cudaProfilerStart())
2025-08-14T21:39:47.1060513Z             >>> with torch.autograd.profiler.emit_nvtx():
2025-08-14T21:39:47.1060796Z             >>>     result = perform_cuda_operations_with_streams()
2025-08-14T21:39:47.1061087Z             >>>     print("CUDA operations completed.")
2025-08-14T21:39:47.1061367Z             >>> check_error(torch.cuda.cudart().cudaProfilerStop())
2025-08-14T21:39:47.1061658Z             >>> print("====== End nsys profiling ======")
2025-08-14T21:39:47.1061885Z     
2025-08-14T21:39:47.1062107Z         To run this example and save the profiling information, execute:
2025-08-14T21:39:47.1062589Z             >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-08-14T21:39:47.1062981Z     
2025-08-14T21:39:47.1063233Z         This command profiles the CUDA operations in the provided script and saves
2025-08-14T21:39:47.1063631Z         the profiling information to a file named `trace_name.prof`.
2025-08-14T21:39:47.1064008Z         The `--profile-from-start off` option ensures that profiling starts only
2025-08-14T21:39:47.1064352Z         after the `cudaProfilerStart` call in the script.
2025-08-14T21:39:47.1064707Z         The `--csv` and `--print-summary` options format the profiling output as a
2025-08-14T21:39:47.1065040Z         CSV file and print a summary, respectively.
2025-08-14T21:39:47.1065374Z         The `-o` option specifies the output file name, and the `-f` option forces the
2025-08-14T21:39:47.1065738Z         overwrite of the output file if it already exists.
2025-08-14T21:39:47.1065984Z         
2025-08-14T21:39:47.1066528Z     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))
2025-08-14T21:39:47.1067102Z     
2025-08-14T21:39:47.1067429Z     $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-08-14T21:39:47.1067811Z     ^
2025-08-14T21:39:47.1067963Z       warnings.warn(msg)
2025-08-14T21:39:47.1068145Z     
2025-08-14T21:39:47.1068361Z --- Parse Warning: 7 / 17 ---
2025-08-14T21:39:47.1069105Z     /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.
2025-08-14T21:39:47.1069919Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T21:39:47.1070249Z     
2025-08-14T21:39:47.1070483Z     vmap is the vectorizing map; ``vmap(func)`` returns a new function that
2025-08-14T21:39:47.1070857Z     maps ``func`` over some dimension of the inputs. Semantically, vmap
2025-08-14T21:39:47.1071233Z     pushes the map into PyTorch operations called by ``func``, effectively
2025-08-14T21:39:47.1071639Z     vectorizing those operations.
2025-08-14T21:39:47.1071849Z     
2025-08-14T21:39:47.1072067Z     vmap is useful for handling batch dimensions: one can write a function
2025-08-14T21:39:47.1072436Z     ``func`` that runs on examples and then lift it to a function that can
2025-08-14T21:39:47.1072812Z     take batches of examples with ``vmap(func)``. vmap can also be used to
2025-08-14T21:39:47.1073159Z     compute batched gradients when composed with autograd.
2025-08-14T21:39:47.1073423Z     
2025-08-14T21:39:47.1073574Z     .. note::
2025-08-14T21:39:47.1073803Z         :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for
2025-08-14T21:39:47.1074114Z         convenience. Use whichever one you'd like.
2025-08-14T21:39:47.1074344Z     
2025-08-14T21:39:47.1074483Z     Args:
2025-08-14T21:39:47.1074721Z         func (function): A Python function that takes one or more arguments.
2025-08-14T21:39:47.1075100Z             Must return one or more Tensors.
2025-08-14T21:39:47.1075394Z         in_dims (int or nested structure): Specifies which dimension of the
2025-08-14T21:39:47.1075751Z             inputs should be mapped over. ``in_dims`` should have a
2025-08-14T21:39:47.1076110Z             structure like the inputs. If the ``in_dim`` for a particular
2025-08-14T21:39:47.1076457Z             input is None, then that indicates there is no map dimension.
2025-08-14T21:39:47.1076736Z             Default: 0.
2025-08-14T21:39:47.1076990Z         out_dims (int or Tuple[int]): Specifies where the mapped dimension
2025-08-14T21:39:47.1077336Z             should appear in the outputs. If ``out_dims`` is a Tuple, then
2025-08-14T21:39:47.1077671Z             it should have one element per output. Default: 0.
2025-08-14T21:39:47.1078000Z         randomness (str): Specifies whether the randomness in this
2025-08-14T21:39:47.1078362Z             vmap should be the same or different across batches. If 'different',
2025-08-14T21:39:47.1078728Z             the randomness for each batch will be different. If 'same', the
2025-08-14T21:39:47.1079102Z             randomness will be the same across batches. If 'error', any calls to
2025-08-14T21:39:47.1079486Z             random functions will error. Default: 'error'. WARNING: this flag
2025-08-14T21:39:47.1079855Z             only applies to random PyTorch operations and does not apply to
2025-08-14T21:39:47.1080177Z             Python's random module or numpy randomness.
2025-08-14T21:39:47.1080511Z         chunk_size (None or int): If None (default), apply a single vmap over inputs.
2025-08-14T21:39:47.1080903Z             If not None, then compute the vmap :attr:`chunk_size` samples at a time.
2025-08-14T21:39:47.1081314Z             Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop.
2025-08-14T21:39:47.1081761Z             If you run into memory issues computing the vmap, please try a non-None chunk_size.
2025-08-14T21:39:47.1082158Z     
2025-08-14T21:39:47.1082305Z     Returns:
2025-08-14T21:39:47.1082536Z         Returns a new "batched" function. It takes the same inputs as
2025-08-14T21:39:47.1082881Z         ``func``, except each input has an extra dimension at the index
2025-08-14T21:39:47.1083224Z         specified by ``in_dims``. It takes returns the same outputs as
2025-08-14T21:39:47.1083568Z         ``func``, except each output has an extra dimension at the index
2025-08-14T21:39:47.1083859Z         specified by ``out_dims``.
2025-08-14T21:39:47.1084063Z     
2025-08-14T21:39:47.1084200Z     .. warning:
2025-08-14T21:39:47.1084446Z         :func:`vmap` works best with functional-style code. Please do not
2025-08-14T21:39:47.1084802Z         perform any side-effects in ``func``, with the exception of
2025-08-14T21:39:47.1085170Z         in-place PyTorch operations. Examples of side-effects include mutating
2025-08-14T21:39:47.1085575Z         Python data structures and assigning values to variables not captured
2025-08-14T21:39:47.1085881Z         in ``func``.
2025-08-14T21:39:47.1086050Z     
2025-08-14T21:39:47.1086292Z     One example of using :func:`vmap` is to compute batched dot products. PyTorch
2025-08-14T21:39:47.1086772Z     doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully
2025-08-14T21:39:47.1087173Z     rummaging through docs, use :func:`vmap` to construct a new function.
2025-08-14T21:39:47.1087464Z     
2025-08-14T21:39:47.1087624Z         >>> torch.dot  # [D], [D] -> []
2025-08-14T21:39:47.1087916Z         >>> batched_dot = torch.func.vmap(torch.dot)  # [N, D], [N, D] -> [N]
2025-08-14T21:39:47.1088232Z         >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-08-14T21:39:47.1088473Z         >>> batched_dot(x, y)
2025-08-14T21:39:47.1088667Z     
2025-08-14T21:39:47.1088910Z     :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler
2025-08-14T21:39:47.1089220Z     model authoring experience.
2025-08-14T21:39:47.1089418Z     
2025-08-14T21:39:47.1089643Z         >>> batch_size, feature_size = 3, 5
2025-08-14T21:39:47.1089933Z         >>> weights = torch.randn(feature_size, requires_grad=True)
2025-08-14T21:39:47.1090206Z         >>>
2025-08-14T21:39:47.1090368Z         >>> def model(feature_vec):
2025-08-14T21:39:47.1090602Z         >>> # Very simple linear model with activation
2025-08-14T21:39:47.1090869Z         >>>     return feature_vec.dot(weights).relu()
2025-08-14T21:39:47.1091100Z         >>>
2025-08-14T21:39:47.1091290Z         >>> examples = torch.randn(batch_size, feature_size)
2025-08-14T21:39:47.1091562Z         >>> result = torch.vmap(model)(examples)
2025-08-14T21:39:47.1091779Z     
2025-08-14T21:39:47.1092031Z     :func:`vmap` can also help vectorize computations that were previously difficult
2025-08-14T21:39:47.1092445Z     or impossible to batch. One example is higher-order gradient computation.
2025-08-14T21:39:47.1092848Z     The PyTorch autograd engine computes vjps (vector-Jacobian products).
2025-08-14T21:39:47.1093252Z     Computing a full Jacobian matrix for some function f: R^N -> R^N usually
2025-08-14T21:39:47.1093659Z     requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`,
2025-08-14T21:39:47.1094083Z     we can vectorize the whole computation, computing the Jacobian in a single
2025-08-14T21:39:47.1094408Z     call to ``autograd.grad``.
2025-08-14T21:39:47.1094608Z     
2025-08-14T21:39:47.1094758Z         >>> # Setup
2025-08-14T21:39:47.1094922Z         >>> N = 5
2025-08-14T21:39:47.1095089Z         >>> f = lambda x: x**2
2025-08-14T21:39:47.1095294Z         >>> x = torch.randn(N, requires_grad=True)
2025-08-14T21:39:47.1095524Z         >>> y = f(x)
2025-08-14T21:39:47.1095698Z         >>> I_N = torch.eye(N)
2025-08-14T21:39:47.1095879Z         >>>
2025-08-14T21:39:47.1096042Z         >>> # Sequential approach
2025-08-14T21:39:47.1096336Z         >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0]
2025-08-14T21:39:47.1096643Z         >>>                  for v in I_N.unbind()]
2025-08-14T21:39:47.1096896Z         >>> jacobian = torch.stack(jacobian_rows)
2025-08-14T21:39:47.1097121Z         >>>
2025-08-14T21:39:47.1097291Z         >>> # vectorized gradient computation
2025-08-14T21:39:47.1097539Z         >>> def get_vjp(v):
2025-08-14T21:39:47.1097749Z         >>>     return torch.autograd.grad(y, x, v)
2025-08-14T21:39:47.1098009Z         >>> jacobian = torch.vmap(get_vjp)(I_N)
2025-08-14T21:39:47.1098226Z     
2025-08-14T21:39:47.1098491Z     :func:`vmap` can also be nested, producing an output with multiple batched dimensions
2025-08-14T21:39:47.1098817Z     
2025-08-14T21:39:47.1098967Z         >>> torch.dot  # [D], [D] -> []
2025-08-14T21:39:47.1099201Z         >>> batched_dot = torch.vmap(
2025-08-14T21:39:47.1099428Z         ...     torch.vmap(torch.dot)
2025-08-14T21:39:47.1099652Z         ... )  # [N1, N0, D], [N1, N0, D] -> [N1, N0]
2025-08-14T21:39:47.1099917Z         >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5)
2025-08-14T21:39:47.1100195Z         >>> batched_dot(x, y)  # tensor of size [2, 3]
2025-08-14T21:39:47.1100418Z     
2025-08-14T21:39:47.1100667Z     If the inputs are not batched along the first dimension, ``in_dims`` specifies
2025-08-14T21:39:47.1101107Z     the dimension that each inputs are batched along as
2025-08-14T21:39:47.1101354Z     
2025-08-14T21:39:47.1101517Z         >>> torch.dot  # [N], [N] -> []
2025-08-14T21:39:47.1101824Z         >>> batched_dot = torch.vmap(torch.dot, in_dims=1)  # [N, D], [N, D] -> [D]
2025-08-14T21:39:47.1102146Z         >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-08-14T21:39:47.1102375Z         >>> batched_dot(
2025-08-14T21:39:47.1102559Z         ...     x, y
2025-08-14T21:39:47.1102798Z         ... )  # output is [5] instead of [2] if batched along the 0th dimension
2025-08-14T21:39:47.1103068Z     
2025-08-14T21:39:47.1103329Z     If there are multiple inputs each of which is batched along different dimensions,
2025-08-14T21:39:47.1103733Z     ``in_dims`` must be a tuple with the batch dimension for each input as
2025-08-14T21:39:47.1104078Z     
2025-08-14T21:39:47.1104231Z         >>> torch.dot  # [D], [D] -> []
2025-08-14T21:39:47.1104546Z         >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None))  # [N, D], [D] -> [N]
2025-08-14T21:39:47.1104895Z         >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-08-14T21:39:47.1105118Z         >>> batched_dot(
2025-08-14T21:39:47.1105291Z         ...     x, y
2025-08-14T21:39:47.1105527Z         ... )  # second arg doesn't have a batch dim because in_dim[1] was None
2025-08-14T21:39:47.1105797Z     
2025-08-14T21:39:47.1106040Z     If the input is a Python struct, ``in_dims`` must be a tuple containing a struct
2025-08-14T21:39:47.1106368Z     matching the shape of the input:
2025-08-14T21:39:47.1106575Z     
2025-08-14T21:39:47.1106763Z         >>> f = lambda dict: torch.dot(dict["x"], dict["y"])
2025-08-14T21:39:47.1107024Z         >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-08-14T21:39:47.1107257Z         >>> input = {"x": x, "y": y}
2025-08-14T21:39:47.1107523Z         >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},))
2025-08-14T21:39:47.1107799Z         >>> batched_dot(input)
2025-08-14T21:39:47.1108001Z     
2025-08-14T21:39:47.1108276Z     By default, the output is batched along the first dimension. However, it can be batched
2025-08-14T21:39:47.1108644Z     along any dimension by using ``out_dims``
2025-08-14T21:39:47.1108873Z     
2025-08-14T21:39:47.1109019Z         >>> f = lambda x: x**2
2025-08-14T21:39:47.1109221Z         >>> x = torch.randn(2, 5)
2025-08-14T21:39:47.1109450Z         >>> batched_pow = torch.vmap(f, out_dims=1)
2025-08-14T21:39:47.1109683Z         >>> batched_pow(x)  # [5, 2]
2025-08-14T21:39:47.1109885Z     
2025-08-14T21:39:47.1110172Z     For any function that uses kwargs, the returned function will not batch the kwargs but will
2025-08-14T21:39:47.1110526Z     accept kwargs
2025-08-14T21:39:47.1110681Z     
2025-08-14T21:39:47.1110831Z         >>> x = torch.randn([2, 5])
2025-08-14T21:39:47.1111055Z         >>> def fn(x, scale=4.):
2025-08-14T21:39:47.1111260Z         >>>   return x * scale
2025-08-14T21:39:47.1111450Z         >>>
2025-08-14T21:39:47.1111624Z         >>> batched_pow = torch.vmap(fn)
2025-08-14T21:39:47.1112087Z         >>> assert torch.allclose(batched_pow(x), x * 4)
2025-08-14T21:39:47.1112434Z         >>> batched_pow(x, scale=x)  # scale is not batched, output has shape [2, 2, 5]
2025-08-14T21:39:47.1112744Z     
2025-08-14T21:39:47.1112890Z     .. note::
2025-08-14T21:39:47.1113145Z         vmap does not provide general autobatching or handle variable-length
2025-08-14T21:39:47.1113456Z         sequences out of the box.
2025-08-14T21:39:47.1113661Z     
2025-08-14T21:39:47.1114095Z     Original Error: IndentationError('expected an indented block after function definition on line 4', ('<source_block>', 5, 1, '_._ = None\n', 5, 2))
2025-08-14T21:39:47.1114596Z     
2025-08-14T21:39:47.1114735Z     _._ = None
2025-08-14T21:39:47.1114890Z     ^
2025-08-14T21:39:47.1115047Z       warnings.warn(msg)
2025-08-14T21:39:47.1115229Z     
2025-08-14T21:39:47.1115442Z --- Parse Warning: 8 / 17 ---
2025-08-14T21:39:47.1116305Z     /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.
2025-08-14T21:39:47.1117113Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T21:39:47.1117549Z     ``grad`` operator helps computing gradients of ``func`` with respect to the
2025-08-14T21:39:47.1117925Z         input(s) specified by ``argnums``. This operator can be nested to
2025-08-14T21:39:47.1118229Z         compute higher-order gradients.
2025-08-14T21:39:47.1118440Z     
2025-08-14T21:39:47.1118579Z         Args:
2025-08-14T21:39:47.1118827Z             func (Callable): A Python function that takes one or more arguments.
2025-08-14T21:39:47.1119349Z                 Must return a single-element Tensor. If specified ``has_aux`` equals ``True``,
2025-08-14T21:39:47.1119800Z                 function can return a tuple of single-element Tensor and other auxiliary objects:
2025-08-14T21:39:47.1120167Z                 ``(output, aux)``.
2025-08-14T21:39:47.1120502Z             argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to.
2025-08-14T21:39:47.1120917Z                 ``argnums`` can be single integer or tuple of integers. Default: 0.
2025-08-14T21:39:47.1121289Z             has_aux (bool): Flag indicating that ``func`` returns a tensor and other
2025-08-14T21:39:47.1121641Z                 auxiliary objects: ``(output, aux)``. Default: False.
2025-08-14T21:39:47.1121944Z     
2025-08-14T21:39:47.1122081Z         Returns:
2025-08-14T21:39:47.1122378Z             Function to compute gradients with respect to its inputs. By default, the output of
2025-08-14T21:39:47.1122819Z             the function is the gradient tensor(s) with respect to the first argument.
2025-08-14T21:39:47.1123258Z             If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects
2025-08-14T21:39:47.1123708Z             is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with
2025-08-14T21:39:47.1124083Z             respect to each ``argnums`` value is returned.
2025-08-14T21:39:47.1124322Z     
2025-08-14T21:39:47.1124471Z         Example of using ``grad``:
2025-08-14T21:39:47.1124669Z     
2025-08-14T21:39:47.1124823Z             >>> # xdoctest: +SKIP
2025-08-14T21:39:47.1125037Z             >>> from torch.func import grad
2025-08-14T21:39:47.1125267Z             >>> x = torch.randn([])
2025-08-14T21:39:47.1125499Z             >>> cos_x = grad(lambda x: torch.sin(x))(x)
2025-08-14T21:39:47.1125774Z             >>> assert torch.allclose(cos_x, x.cos())
2025-08-14T21:39:47.1125998Z             >>>
2025-08-14T21:39:47.1126174Z             >>> # Second-order gradients
2025-08-14T21:39:47.1126433Z             >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x)
2025-08-14T21:39:47.1126716Z             >>> assert torch.allclose(neg_sin_x, -x.sin())
2025-08-14T21:39:47.1126961Z     
2025-08-14T21:39:47.1127217Z         When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients:
2025-08-14T21:39:47.1127532Z     
2025-08-14T21:39:47.1127681Z             >>> # xdoctest: +SKIP
2025-08-14T21:39:47.1127907Z             >>> from torch.func import grad, vmap
2025-08-14T21:39:47.1128164Z             >>> batch_size, feature_size = 3, 5
2025-08-14T21:39:47.1128392Z             >>>
2025-08-14T21:39:47.1128577Z             >>> def model(weights, feature_vec):
2025-08-14T21:39:47.1128832Z             >>> # Very simple linear model with activation
2025-08-14T21:39:47.1129081Z             >>>     assert feature_vec.dim() == 1
2025-08-14T21:39:47.1129326Z             >>>     return feature_vec.dot(weights).relu()
2025-08-14T21:39:47.1129548Z             >>>
2025-08-14T21:39:47.1129733Z             >>> def compute_loss(weights, example, target):
2025-08-14T21:39:47.1129984Z             >>>     y = model(weights, example)
2025-08-14T21:39:47.1130232Z             >>>     return ((y - target) ** 2).mean()  # MSELoss
2025-08-14T21:39:47.1130548Z             >>>
2025-08-14T21:39:47.1130756Z             >>> weights = torch.randn(feature_size, requires_grad=True)
2025-08-14T21:39:47.1131065Z             >>> examples = torch.randn(batch_size, feature_size)
2025-08-14T21:39:47.1131322Z             >>> targets = torch.randn(batch_size)
2025-08-14T21:39:47.1131575Z             >>> inputs = (weights, examples, targets)
2025-08-14T21:39:47.1131904Z             >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))(
2025-08-14T21:39:47.1132212Z             ...     *inputs
2025-08-14T21:39:47.1132386Z             ... )
2025-08-14T21:39:47.1132535Z     
2025-08-14T21:39:47.1132734Z         Example of using ``grad`` with ``has_aux`` and ``argnums``:
2025-08-14T21:39:47.1132999Z     
2025-08-14T21:39:47.1133144Z             >>> # xdoctest: +SKIP
2025-08-14T21:39:47.1133414Z             >>> from torch.func import grad
2025-08-14T21:39:47.1133652Z             >>> def my_loss_func(y, y_pred):
2025-08-14T21:39:47.1133899Z             >>>    loss_per_sample = (0.5 * y_pred - y) ** 2
2025-08-14T21:39:47.1134150Z             >>>    loss = loss_per_sample.mean()
2025-08-14T21:39:47.1134405Z             >>>    return loss, (y_pred, loss_per_sample)
2025-08-14T21:39:47.1134620Z             >>>
2025-08-14T21:39:47.1134821Z             >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True)
2025-08-14T21:39:47.1135082Z             >>> y_true = torch.rand(4)
2025-08-14T21:39:47.1135319Z             >>> y_preds = torch.rand(4, requires_grad=True)
2025-08-14T21:39:47.1135569Z             >>> out = fn(y_true, y_preds)
2025-08-14T21:39:47.1135908Z             >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample))
2025-08-14T21:39:47.1136226Z     
2025-08-14T21:39:47.1136369Z         .. note::
2025-08-14T21:39:47.1136601Z             Using PyTorch ``torch.no_grad`` together with ``grad``.
2025-08-14T21:39:47.1136862Z     
2025-08-14T21:39:47.1137043Z             Case 1: Using ``torch.no_grad`` inside a function:
2025-08-14T21:39:47.1137291Z     
2025-08-14T21:39:47.1137452Z                 >>> # xdoctest: +SKIP
2025-08-14T21:39:47.1137659Z                 >>> def f(x):
2025-08-14T21:39:47.1137872Z                 >>>     with torch.no_grad():
2025-08-14T21:39:47.1138097Z                 >>>         c = x ** 2
2025-08-14T21:39:47.1138302Z                 >>>     return x - c
2025-08-14T21:39:47.1138502Z     
2025-08-14T21:39:47.1138723Z             In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``.
2025-08-14T21:39:47.1139009Z     
2025-08-14T21:39:47.1139213Z             Case 2: Using ``grad`` inside ``torch.no_grad`` context manager:
2025-08-14T21:39:47.1139490Z     
2025-08-14T21:39:47.1139655Z                 >>> # xdoctest: +SKIP
2025-08-14T21:39:47.1139873Z                 >>> with torch.no_grad():
2025-08-14T21:39:47.1140094Z                 >>>     grad(f)(x)
2025-08-14T21:39:47.1140307Z     
2025-08-14T21:39:47.1140536Z             In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the
2025-08-14T21:39:47.1140927Z             outer one. This is because ``grad`` is a "function transform": its result
2025-08-14T21:39:47.1141319Z             should not depend on the result of a context manager outside of ``f``.
2025-08-14T21:39:47.1141610Z     
2025-08-14T21:39:47.1141754Z         
2025-08-14T21:39:47.1142200Z     Original Error: IndentationError('expected an indented block after function definition on line 5', ('<source_block>', 6, 1, '_._ = None\n', 6, 2))
2025-08-14T21:39:47.1142700Z     
2025-08-14T21:39:47.1142836Z     _._ = None
2025-08-14T21:39:47.1142988Z     ^
2025-08-14T21:39:47.1143151Z       warnings.warn(msg)
2025-08-14T21:39:47.1143328Z     
2025-08-14T21:39:47.1143548Z --- Parse Warning: 9 / 17 ---
2025-08-14T21:39:47.1144375Z     /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.
2025-08-14T21:39:47.1145345Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T21:39:47.1145729Z     Register a FakeTensor implementation for this custom op.
2025-08-14T21:39:47.1145992Z     
2025-08-14T21:39:47.1146242Z             This is necessary to get the operator to work efficiently with torch.compile.
2025-08-14T21:39:47.1146551Z     
2025-08-14T21:39:47.1146785Z             The Fake impl (sometimes also known as a meta kernel or abstract impl)
2025-08-14T21:39:47.1147175Z             specifies the behavior of this operator on Tensors that carry no data.
2025-08-14T21:39:47.1147516Z             Given some input Tensors with certain properties
2025-08-14T21:39:47.1147887Z             (sizes/strides/storage_offset/device), it specifies what the properties of
2025-08-14T21:39:47.1148283Z             the output Tensors are.
2025-08-14T21:39:47.1148489Z     
2025-08-14T21:39:47.1148704Z             Please see :func:`torch.library.register_fake` for more details.
2025-08-14T21:39:47.1148989Z     
2025-08-14T21:39:47.1149139Z             Args:
2025-08-14T21:39:47.1149362Z                 fn (Callable): The function to register as the FakeTensor
2025-08-14T21:39:47.1149638Z                     implementation.
2025-08-14T21:39:47.1149831Z     
2025-08-14T21:39:47.1149971Z             Examples:
2025-08-14T21:39:47.1150155Z                 >>> import torch
2025-08-14T21:39:47.1150362Z                 >>> import numpy as np
2025-08-14T21:39:47.1150591Z                 >>> from torch import Tensor
2025-08-14T21:39:47.1150812Z                 >>>
2025-08-14T21:39:47.1151046Z                 >>> # Example 1: an operator without data-dependent output shape
2025-08-14T21:39:47.1151390Z                 >>> @torch.library.custom_op("mylib::linear", mutates_args=())
2025-08-14T21:39:47.1151738Z                 >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-08-14T21:39:47.1152041Z                 >>>     return (x @ weight.t()) + bias
2025-08-14T21:39:47.1152273Z                 >>>
2025-08-14T21:39:47.1152451Z                 >>> @linear.register_fake
2025-08-14T21:39:47.1152676Z                 >>> def _(x, weight, bias):
2025-08-14T21:39:47.1152900Z                 >>>     assert x.dim() == 2
2025-08-14T21:39:47.1153120Z                 >>>     assert weight.dim() == 2
2025-08-14T21:39:47.1153361Z                 >>>     assert bias.dim() == 1
2025-08-14T21:39:47.1153598Z                 >>>     assert x.shape[1] == weight.shape[1]
2025-08-14T21:39:47.1153864Z                 >>>     assert weight.shape[0] == bias.shape[0]
2025-08-14T21:39:47.1154123Z                 >>>     assert x.device == weight.device
2025-08-14T21:39:47.1154405Z                 >>>     return x.new_empty(x.size(0), weight.size(0))
2025-08-14T21:39:47.1154651Z                 >>>
2025-08-14T21:39:47.1154820Z                 >>> x = torch.randn(2, 2)
2025-08-14T21:39:47.1155049Z                 >>> weight = torch.randn(2, 2)
2025-08-14T21:39:47.1155279Z                 >>> bias = torch.randn(2)
2025-08-14T21:39:47.1155517Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-08-14T21:39:47.1155833Z                 >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias)
2025-08-14T21:39:47.1156139Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-08-14T21:39:47.1156494Z                 >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias))
2025-08-14T21:39:47.1156812Z                 >>>
2025-08-14T21:39:47.1157037Z                 >>> # Example 2: an operator with data-dependent output shape
2025-08-14T21:39:47.1157378Z                 >>> @torch.library.custom_op("mylib::nonzero", mutates_args=())
2025-08-14T21:39:47.1157678Z                 >>> def nonzero(x: Tensor) -> Tensor:
2025-08-14T21:39:47.1157930Z                 >>>     x_np = x.cpu().numpy()
2025-08-14T21:39:47.1158172Z                 >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-08-14T21:39:47.1158523Z                 >>>     return torch.tensor(res, device=x.device)
2025-08-14T21:39:47.1158772Z                 >>>
2025-08-14T21:39:47.1158951Z                 >>> @nonzero.register_fake
2025-08-14T21:39:47.1159175Z                 >>> def _(x):
2025-08-14T21:39:47.1159404Z                 >>> # Number of nonzero-elements is data-dependent.
2025-08-14T21:39:47.1159711Z                 >>> # Since we cannot peek at the data in an abstract impl,
2025-08-14T21:39:47.1160027Z                 >>> # we use the ctx object to construct a new symint that
2025-08-14T21:39:47.1160311Z                 >>> # represents the data-dependent size.
2025-08-14T21:39:47.1160589Z                 >>>     ctx = torch.library.get_ctx()
2025-08-14T21:39:47.1160840Z                 >>>     nnz = ctx.new_dynamic_size()
2025-08-14T21:39:47.1161082Z                 >>>     shape = [nnz, x.dim()]
2025-08-14T21:39:47.1161408Z                 >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-08-14T21:39:47.1161676Z                 >>>     return result
2025-08-14T21:39:47.1161929Z                 >>>
2025-08-14T21:39:47.1162114Z                 >>> x = torch.tensor([0, 1, 2, 0, 0, 1])
2025-08-14T21:39:47.1162377Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-08-14T21:39:47.1162666Z                 >>> out = torch.compile(nonzero, fullgraph=True)(x)
2025-08-14T21:39:47.1162940Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-08-14T21:39:47.1163211Z                 >>> assert torch.allclose(out, x.nonzero())
2025-08-14T21:39:47.1163444Z     
2025-08-14T21:39:47.1163594Z             
2025-08-14T21:39:47.1164051Z     Original Error: IndentationError('expected an indented block after function definition on line 36', ('<source_block>', 37, 1, '_._ = None\n', 37, 2))
2025-08-14T21:39:47.1164552Z     
2025-08-14T21:39:47.1164699Z     _._ = None
2025-08-14T21:39:47.1164856Z     ^
2025-08-14T21:39:47.1165012Z       warnings.warn(msg)
2025-08-14T21:39:47.1165191Z     
2025-08-14T21:39:47.1165407Z --- Parse Warning: 10 / 17 ---
2025-08-14T21:39:47.1166249Z     /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.
2025-08-14T21:39:47.1167172Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T21:39:47.1167504Z     
2025-08-14T21:39:47.1167740Z     Registers a fake kernel based on the given operator profiles. This fake
2025-08-14T21:39:47.1168157Z     kernel registration will override any existing fake kernel registrations.
2025-08-14T21:39:47.1168468Z     
2025-08-14T21:39:47.1168693Z     The input is a dictionary mapping operator names to a set of operator
2025-08-14T21:39:47.1169094Z     profiles, which we will use to generate fake kernels. The operator profiles
2025-08-14T21:39:47.1169485Z     are a record of the input and output tensor metadata. Based on this
2025-08-14T21:39:47.1169881Z     information we will match a given input to the recorded profile, and return
2025-08-14T21:39:47.1170283Z     an output with the same metadata as in the recorded profile. If a profile
2025-08-14T21:39:47.1170621Z     doesn't exist then an exception will be thrown.
2025-08-14T21:39:47.1170854Z     
2025-08-14T21:39:47.1171106Z     The fake kernel generation is considered unsafe because it relies on the
2025-08-14T21:39:47.1171506Z     rigid, pre-defined operator profiles that do not account for potential
2025-08-14T21:39:47.1171922Z     variations in output behavior. Specifically, the generated kernels assume a
2025-08-14T21:39:47.1172345Z     fixed relationship between input and output ranks. However, in reality, it's
2025-08-14T21:39:47.1172768Z     possible that data-dependent operations may produce outputs of different
2025-08-14T21:39:47.1173165Z     ranks even when given inputs of the same rank. The generated fake kernels
2025-08-14T21:39:47.1173622Z     are inflexible and unable to accommodate these nuances, making them
2025-08-14T21:39:47.1173919Z     potentially unsafe.
2025-08-14T21:39:47.1174098Z     
2025-08-14T21:39:47.1174239Z     Args:
2025-08-14T21:39:47.1174471Z         op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator
2025-08-14T21:39:47.1174842Z             name to a set of operator profiles from which we will generate fake
2025-08-14T21:39:47.1175134Z             kernels.
2025-08-14T21:39:47.1175299Z     
2025-08-14T21:39:47.1175445Z     Examples:
2025-08-14T21:39:47.1175597Z     
2025-08-14T21:39:47.1175723Z         >>> # Example: Registering an op-profile from draft-export
2025-08-14T21:39:47.1175795Z         >>> import torch
2025-08-14T21:39:47.1175913Z         >>> from torch.export._draft_export import draft_export
2025-08-14T21:39:47.1175974Z         >>>
2025-08-14T21:39:47.1176195Z         >>> @torch.library.custom_op("mylib::foo", mutates_args=())
2025-08-14T21:39:47.1176289Z         >>> def foo(x: Tensor, y: Tensor) -> Tensor:
2025-08-14T21:39:47.1176366Z         >>>     return x + y
2025-08-14T21:39:47.1176441Z         >>>
2025-08-14T21:39:47.1176530Z         >>> class M(torch.nn.Module):
2025-08-14T21:39:47.1176610Z         >>>     def forward(self, a, b):
2025-08-14T21:39:47.1176724Z         >>>         res = torch.ops.mylib.foo(a, b)  # no fake impl
2025-08-14T21:39:47.1176795Z         >>>         return res
2025-08-14T21:39:47.1176859Z         >>>
2025-08-14T21:39:47.1176983Z         >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4))
2025-08-14T21:39:47.1177046Z         >>>
2025-08-14T21:39:47.1177258Z         >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles):
2025-08-14T21:39:47.1177348Z         >>>     decomp = ep.run_decompositions()
2025-08-14T21:39:47.1177410Z     
2025-08-14T21:39:47.1177478Z     
2025-08-14T21:39:47.1177816Z     Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced')
2025-08-14T21:39:47.1177878Z     
2025-08-14T21:39:47.1177960Z       warnings.warn(msg)
2025-08-14T21:39:47.1178017Z     
2025-08-14T21:39:47.1178154Z --- Parse Warning: 11 / 17 ---
2025-08-14T21:39:47.1178978Z     /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.
2025-08-14T21:39:47.1179149Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T21:39:47.1179222Z     
2025-08-14T21:39:47.1179408Z     The Activation sparsifier class aims to sparsify/prune activations in a neural
2025-08-14T21:39:47.1179563Z     network. The idea is to attach the sparsifier to a layer (or layers) and it
2025-08-14T21:39:47.1179740Z     zeroes out the activations based on the mask_fn (or sparsification function)
2025-08-14T21:39:47.1179811Z     input by the user.
2025-08-14T21:39:47.1179974Z     The mask_fn is applied once all the inputs are aggregated and reduced i.e.
2025-08-14T21:39:47.1180082Z     mask = mask_fn(reduce_fn(aggregate_fn(activations)))
2025-08-14T21:39:47.1180142Z     
2025-08-14T21:39:47.1180214Z     Note::
2025-08-14T21:39:47.1180437Z         The sparsification mask is computed on the input **before it goes through the attached layer**.
2025-08-14T21:39:47.1180499Z     
2025-08-14T21:39:47.1180567Z     Args:
2025-08-14T21:39:47.1180640Z         model (nn.Module):
2025-08-14T21:39:47.1180796Z             The model whose layers will be sparsified. The layers that needs to be
2025-08-14T21:39:47.1180975Z             sparsified should be added separately using the register_layer() function
2025-08-14T21:39:47.1181071Z         aggregate_fn (Optional, Callable):
2025-08-14T21:39:47.1181269Z             default aggregate_fn that is used if not specified while registering the layer.
2025-08-14T21:39:47.1181391Z             specifies how inputs should be aggregated over time.
2025-08-14T21:39:47.1181666Z             The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor.
2025-08-14T21:39:47.1181742Z             Example
2025-08-14T21:39:47.1181867Z                 def add_agg_fn(tensor1, tensor2):  return tensor1 + tensor2
2025-08-14T21:39:47.1181955Z                 reduce_fn (Optional, Callable):
2025-08-14T21:39:47.1182135Z                     default reduce_fn that is used if not specified while registering the layer.
2025-08-14T21:39:47.1182312Z                     reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after
2025-08-14T21:39:47.1182402Z                     calling agg_fn() on all inputs.
2025-08-14T21:39:47.1182469Z                     Example
2025-08-14T21:39:47.1182611Z                 def mean_reduce_fn(agg_tensor):    return agg_tensor.mean(dim=0)
2025-08-14T21:39:47.1182767Z                 mask_fn (Optional, Callable):
2025-08-14T21:39:47.1182992Z                     default mask_fn that is used to create the sparsification mask using the tensor obtained after
2025-08-14T21:39:47.1183175Z                     calling the reduce_fn(). This is used by default if a custom one is passed in the
2025-08-14T21:39:47.1183262Z                     register_layer().
2025-08-14T21:39:47.1183505Z                     Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config
2025-08-14T21:39:47.1183579Z                     arguments.
2025-08-14T21:39:47.1183659Z                 features (Optional, list):
2025-08-14T21:39:47.1183758Z                     default selected features to sparsify.
2025-08-14T21:39:47.1183949Z                     If this is non-empty, then the mask_fn will be applied for each feature of the input.
2025-08-14T21:39:47.1184021Z                     For example,
2025-08-14T21:39:47.1184204Z                 mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features]
2025-08-14T21:39:47.1184293Z                 feature_dim (Optional, int):
2025-08-14T21:39:47.1184488Z                     default dimension of input features. Again, features along this dim will be chosen
2025-08-14T21:39:47.1184572Z                     for sparsification.
2025-08-14T21:39:47.1184647Z                 sparse_config (Dict):
2025-08-14T21:39:47.1184801Z                     Default configuration for the mask_fn. This config will be passed
2025-08-14T21:39:47.1184878Z                     with the mask_fn()
2025-08-14T21:39:47.1184935Z     
2025-08-14T21:39:47.1184996Z     Example:
2025-08-14T21:39:47.1185078Z         >>> # xdoctest: +SKIP
2025-08-14T21:39:47.1185155Z         >>> model = SomeModel()
2025-08-14T21:39:47.1185323Z         >>> act_sparsifier = ActivationSparsifier(...)  # init activation sparsifier
2025-08-14T21:39:47.1185408Z         >>> # Initialize aggregate_fn
2025-08-14T21:39:47.1185484Z         >>> def agg_fn(x, y):
2025-08-14T21:39:47.1185558Z         >>>     return x + y
2025-08-14T21:39:47.1185618Z         >>>
2025-08-14T21:39:47.1185700Z         >>> # Initialize reduce_fn
2025-08-14T21:39:47.1185776Z         >>> def reduce_fn(x):
2025-08-14T21:39:47.1185854Z         >>>     return torch.mean(x, dim=0)
2025-08-14T21:39:47.1185917Z         >>>
2025-08-14T21:39:47.1186001Z         >>> # Initialize mask_fn
2025-08-14T21:39:47.1186069Z         >>> def mask_fn(data):
2025-08-14T21:39:47.1186177Z         >>>     return torch.eye(data.shape).to(data.device)
2025-08-14T21:39:47.1186245Z         >>>
2025-08-14T21:39:47.1186308Z         >>>
2025-08-14T21:39:47.1186395Z         >>> act_sparsifier.register_layer(
2025-08-14T21:39:47.1186476Z         ...     model.some_layer,
2025-08-14T21:39:47.1186549Z         ...     aggregate_fn=agg_fn,
2025-08-14T21:39:47.1186625Z         ...     reduce_fn=reduce_fn,
2025-08-14T21:39:47.1186694Z         ...     mask_fn=mask_fn,
2025-08-14T21:39:47.1186755Z         ... )
2025-08-14T21:39:47.1186829Z         >>>
2025-08-14T21:39:47.1186902Z         >>> # start training process
2025-08-14T21:39:47.1187043Z         >>> for _ in [...]:
2025-08-14T21:39:47.1187122Z         >>> # epoch starts
2025-08-14T21:39:47.1187249Z         >>> # model.forward(), compute_loss() and model.backwards()
2025-08-14T21:39:47.1187316Z         >>> # epoch ends
2025-08-14T21:39:47.1187401Z         >>>     act_sparsifier.step()
2025-08-14T21:39:47.1187476Z         >>> # end training process
2025-08-14T21:39:47.1187551Z         >>> sparsifier.squash_mask()
2025-08-14T21:39:47.1187621Z     
2025-08-14T21:39:47.1187966Z     Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('<source_block>', 26, 1, '_._ = None\n', 26, 2))
2025-08-14T21:39:47.1188032Z     
2025-08-14T21:39:47.1188093Z     _._ = None
2025-08-14T21:39:47.1188156Z     ^
2025-08-14T21:39:47.1188236Z       warnings.warn(msg)
2025-08-14T21:39:47.1188296Z     
2025-08-14T21:39:47.1188544Z --- Parse Warning: 12 / 17 ---
2025-08-14T21:39:47.1189220Z     /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=722.
2025-08-14T21:39:47.1189404Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T21:39:47.1189470Z     
2025-08-14T21:39:47.1189662Z     Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh.
2025-08-14T21:39:47.1189844Z     The submesh created consists of the dimensions and the communicators indicated by
2025-08-14T21:39:47.1189920Z     ``mesh_dim_names``
2025-08-14T21:39:47.1189978Z     
2025-08-14T21:39:47.1190042Z     Args:
2025-08-14T21:39:47.1190215Z         mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the
2025-08-14T21:39:47.1190348Z         mesh dimension of the DeviceMesh to create the submesh for.
2025-08-14T21:39:47.1190415Z     Returns:
2025-08-14T21:39:47.1190500Z         A :class:`DeviceMesh` object
2025-08-14T21:39:47.1190563Z     
2025-08-14T21:39:47.1190768Z     The following program runs on each process/rank in an SPMD manner in a world size of 8.
2025-08-14T21:39:47.1190842Z     In the first example:
2025-08-14T21:39:47.1191020Z         Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]).
2025-08-14T21:39:47.1191201Z         Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of  DeviceMesh:([4, 5, 6, 7]).
2025-08-14T21:39:47.1191357Z         Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of  DeviceMesh:([0, 4]).
2025-08-14T21:39:47.1191508Z         Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of  DeviceMesh:([1, 5]).
2025-08-14T21:39:47.1191674Z         Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of  DeviceMesh:([2, 6]).
2025-08-14T21:39:47.1191828Z         Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of  DeviceMesh:([3, 7]).
2025-08-14T21:39:47.1191896Z     
2025-08-14T21:39:47.1191970Z     In the second example:
2025-08-14T21:39:47.1192158Z         Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]).
2025-08-14T21:39:47.1192346Z         Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]).
2025-08-14T21:39:47.1192521Z         Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]).
2025-08-14T21:39:47.1192699Z         Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]).
2025-08-14T21:39:47.1192768Z     
2025-08-14T21:39:47.1192834Z     Example::
2025-08-14T21:39:47.1192899Z     
2025-08-14T21:39:47.1192990Z         >>> # xdoctest: +SKIP("no rank")
2025-08-14T21:39:47.1193122Z         >>> from torch.distributed.device_mesh import DeviceMesh
2025-08-14T21:39:47.1193189Z         >>>
2025-08-14T21:39:47.1193339Z         >>> # Initialize a 2D device mesh as (2, 4) to represent the topology
2025-08-14T21:39:47.1193446Z         >>> # of cross-host(dim 0), and within-host (dim 1).
2025-08-14T21:39:47.1193709Z         >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-08-14T21:39:47.1193791Z         >>> tp_mesh = mesh_2d["tp"]
2025-08-14T21:39:47.1193867Z         >>> dp_mesh = mesh_2d["dp"]
2025-08-14T21:39:47.1193935Z         >>>
2025-08-14T21:39:47.1194005Z         >>> # Initialize a 3D mesh.
2025-08-14T21:39:47.1194202Z         >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp"))
2025-08-14T21:39:47.1194415Z         >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh.
2025-08-14T21:39:47.1194500Z         >>> dp_cp_mesh = mesh_3d["dp", "cp"]
2025-08-14T21:39:47.1194587Z         >>> cp_dp_mesh = mesh_3d["cp", "dp"]
2025-08-14T21:39:47.1194649Z     
2025-08-14T21:39:47.1195224Z     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))
2025-08-14T21:39:47.1195298Z     
2025-08-14T21:39:47.1195473Z     mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-08-14T21:39:47.1195562Z                                                                                      ^
2025-08-14T21:39:47.1195635Z       warnings.warn(msg)
2025-08-14T21:39:47.1195695Z     
2025-08-14T21:39:47.1195843Z --- Parse Warning: 13 / 17 ---
2025-08-14T21:39:47.1196516Z     /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.
2025-08-14T21:39:47.1196692Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T21:39:47.1196759Z     
2025-08-14T21:39:47.1196963Z     Abstract class defining the protocol used by save_state_dict to plan the save process.
2025-08-14T21:39:47.1197031Z     
2025-08-14T21:39:47.1197234Z     SavePlanners are stateful objects that can be used to customize the whole save process.
2025-08-14T21:39:47.1197291Z     
2025-08-14T21:39:47.1197487Z     SavePlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-08-14T21:39:47.1197574Z     will be visible to the whole process.
2025-08-14T21:39:47.1197631Z     
2025-08-14T21:39:47.1197829Z     A planner subclass can expect the following sequence of calls during save_state_dict:
2025-08-14T21:39:47.1197887Z     
2025-08-14T21:39:47.1197978Z     1) set_up_planner - called on all ranks.
2025-08-14T21:39:47.1198078Z         Signals the start of a checkpoint save.
2025-08-14T21:39:47.1198137Z     
2025-08-14T21:39:47.1198229Z     2) create_local_plan - called on all ranks.
2025-08-14T21:39:47.1198430Z         Process the state_dict and produces a `SavePlan` that will be sent for global planning.
2025-08-14T21:39:47.1198491Z     
2025-08-14T21:39:47.1198626Z     3) create_global_plan - called on the coordinator rank only.
2025-08-14T21:39:47.1198768Z         Takes the SavePlan from all ranks and make any global decision.
2025-08-14T21:39:47.1198830Z     
2025-08-14T21:39:47.1198917Z     4) finish_plan - called on all ranks.
2025-08-14T21:39:47.1199067Z         This gives each rank a chance to adjust to global planning decisions.
2025-08-14T21:39:47.1199126Z     
2025-08-14T21:39:47.1199243Z     5) resolve_data - called multiple times on each rank
2025-08-14T21:39:47.1199392Z         Lookups a value on the `state_dict` for the storage layer to write.
2025-08-14T21:39:47.1199459Z     
2025-08-14T21:39:47.1199673Z     Users are recommended to extend DefaultSavePlanner instead of this interface directly as
2025-08-14T21:39:47.1199801Z     most changes can be expressed by changes in a single method.
2025-08-14T21:39:47.1199863Z     
2025-08-14T21:39:47.1199956Z     There are 3 usual patterns of extension:
2025-08-14T21:39:47.1200017Z     
2025-08-14T21:39:47.1200204Z     Rewriting state_dict. This is the simplest way to extend the save process as it
2025-08-14T21:39:47.1200449Z     doesn't requite understanding the intrincacies of how SavePlan works:
2025-08-14T21:39:47.1200510Z     
2025-08-14T21:39:47.1200603Z     >>> # xdoctest: +SKIP("undefined vars")
2025-08-14T21:39:47.1200700Z     >>> class RenamePlanner(DefaultSavePlanner):
2025-08-14T21:39:47.1200780Z     >>>     def set_up_planner(
2025-08-14T21:39:47.1200847Z     >>>         self,
2025-08-14T21:39:47.1200929Z     >>>         state_dict: STATE_DICT_TYPE,
2025-08-14T21:39:47.1201029Z     >>>         storage_meta: Optional[StorageMeta],
2025-08-14T21:39:47.1201109Z     >>>         is_coordinator: bool,
2025-08-14T21:39:47.1201177Z     >>>     ) -> None:
2025-08-14T21:39:47.1201264Z     >>> # prefix all keys with `foo_``
2025-08-14T21:39:47.1201547Z     >>>         super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator)
2025-08-14T21:39:47.1201609Z     
2025-08-14T21:39:47.1201911Z     Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted
2025-08-14T21:39:47.1201977Z     
2025-08-14T21:39:47.1202069Z     >>> # xdoctest: +SKIP("undefined vars")
2025-08-14T21:39:47.1202176Z     >>> class FP16Planner(DefaultSavePlanner):
2025-08-14T21:39:47.1202259Z     >>>     def create_local_plan(self):
2025-08-14T21:39:47.1202351Z     >>>         plan = super().create_local_plan()
2025-08-14T21:39:47.1202427Z     >>>         for p in plan:
2025-08-14T21:39:47.1202514Z     >>>             if p.tensor_data is not None:
2025-08-14T21:39:47.1202639Z     >>>                 p.tensor_data.properties.dtype = torch.float16
2025-08-14T21:39:47.1202706Z     >>>         return plan
2025-08-14T21:39:47.1202767Z     >>>
2025-08-14T21:39:47.1202860Z     >>>     def resolve_data(self, write_item):
2025-08-14T21:39:47.1202957Z     >>>         item = super().resolve_data(write_item)
2025-08-14T21:39:47.1203162Z     >>>         return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16)
2025-08-14T21:39:47.1203228Z     
2025-08-14T21:39:47.1203470Z     Using the global planning step to make central decisions that can't be made individually by each rank
2025-08-14T21:39:47.1203539Z     
2025-08-14T21:39:47.1203624Z     >>> # xdoctest: +SKIP("undefined vars")
2025-08-14T21:39:47.1203705Z     >>> from itertools import zip_longest
2025-08-14T21:39:47.1203802Z     >>> from dataclasses import replace
2025-08-14T21:39:47.1203927Z     >>> class DDPLoadBalancingPlanner(DefaultSavePlanner):
2025-08-14T21:39:47.1204122Z     >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0
2025-08-14T21:39:47.1204225Z     >>> # This sample doesn't handle ShardedTensors
2025-08-14T21:39:47.1204321Z     >>>     def create_global_plan(self, all_plans):
2025-08-14T21:39:47.1204437Z     >>>         iters = [iter(all_plans[0].items)] * len(all_plans)
2025-08-14T21:39:47.1204513Z     >>>         items_per_rank = [
2025-08-14T21:39:47.1204611Z     >>>             [item for item in items if item is not None]
2025-08-14T21:39:47.1204736Z     >>>             for items in zip(*zip_longest(*iters), strict=True)
2025-08-14T21:39:47.1204800Z     >>>         ]
2025-08-14T21:39:47.1204875Z     >>>         all_plans = [
2025-08-14T21:39:47.1204968Z     >>>             replace(plan, items=items)
2025-08-14T21:39:47.1205102Z     >>>             for plan, items in zip(all_plans, items_per_rank, strict=True)
2025-08-14T21:39:47.1205169Z     >>>         ]
2025-08-14T21:39:47.1205271Z     >>>         return super().create_global_plan(all_plans)
2025-08-14T21:39:47.1205333Z     
2025-08-14T21:39:47.1205527Z     Finally, some planners need to save additional metadata in the checkpoint, this is
2025-08-14T21:39:47.1205714Z     accomplished by having each rank contribute their data items in the local plan and
2025-08-14T21:39:47.1205798Z     the global planner aggregate them:
2025-08-14T21:39:47.1205866Z     
2025-08-14T21:39:47.1205951Z     >>> # xdoctest: +SKIP("undefined vars")
2025-08-14T21:39:47.1206143Z     >>> class SaveExtraDataPlanner(DefaultSavePlanner):
2025-08-14T21:39:47.1206243Z     >>>     def create_local_plan(self) -> SavePlan:
2025-08-14T21:39:47.1206330Z     >>>         plan = super().create_local_plan()
2025-08-14T21:39:47.1206458Z     >>>         return replace(plan, planner_data="per-rank-data")
2025-08-14T21:39:47.1206517Z     >>>
2025-08-14T21:39:47.1206728Z     >>>     def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]:
2025-08-14T21:39:47.1206872Z     >>>         global_plan, metadata = super().create_global_plan(all_plans)
2025-08-14T21:39:47.1206984Z     >>>         merged_data = [p.planner_data for p in global_plan]
2025-08-14T21:39:47.1207106Z     >>>         metadata = replace(metadata, planner_data=merged_data)
2025-08-14T21:39:47.1207195Z     >>>         return global_plan, metadata
2025-08-14T21:39:47.1207324Z     
2025-08-14T21:39:47.1207709Z     Original Error: IndentationError('expected an indented block after function definition on line 3', ('<source_block>', 9, 0, '_._ = None\n', 9, -1))
2025-08-14T21:39:47.1207772Z     
2025-08-14T21:39:47.1207833Z     _._ = None
2025-08-14T21:39:47.1207896Z     ^
2025-08-14T21:39:47.1207967Z       warnings.warn(msg)
2025-08-14T21:39:47.1208026Z     
2025-08-14T21:39:47.1208169Z --- Parse Warning: 14 / 17 ---
2025-08-14T21:39:47.1208833Z     /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.
2025-08-14T21:39:47.1209004Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T21:39:47.1209071Z     
2025-08-14T21:39:47.1209273Z     Abstract class defining the protocol used by load_state_dict to plan the load process.
2025-08-14T21:39:47.1209343Z     
2025-08-14T21:39:47.1209539Z     LoadPlanner are stateful objects that can be used to customize the whole load process.
2025-08-14T21:39:47.1209602Z     
2025-08-14T21:39:47.1209800Z     LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-08-14T21:39:47.1209881Z     will be visible to the whole process.
2025-08-14T21:39:47.1209941Z     
2025-08-14T21:39:47.1210144Z     A planner subclass can expect the following sequence of calls during load_state_dict:
2025-08-14T21:39:47.1210205Z     
2025-08-14T21:39:47.1210289Z     1) set_up_planner - called on all ranks.
2025-08-14T21:39:47.1210388Z         Signals the start of loading a checkpoint.
2025-08-14T21:39:47.1210450Z     
2025-08-14T21:39:47.1210545Z     2) create_local_plan - called on all ranks.
2025-08-14T21:39:47.1210743Z         Process the state_dict and produces a `LoadPlan` that will be sent for global planning.
2025-08-14T21:39:47.1210801Z     
2025-08-14T21:39:47.1210937Z     3) create_global_plan - called on the coordinator rank only.
2025-08-14T21:39:47.1211081Z         Takes the LoadPlan from all ranks and make any global decision.
2025-08-14T21:39:47.1211142Z     
2025-08-14T21:39:47.1211253Z     4) load_bytes - called multiple times on each rank
2025-08-14T21:39:47.1211374Z         This is called once per non-tensor value in state_dict.
2025-08-14T21:39:47.1211433Z     
2025-08-14T21:39:47.1211595Z     5) resolve_tensor and commit_tensor - called multiple times on each rank
2025-08-14T21:39:47.1211893Z         They are called in pair for each Tensor value in state_dict.
2025-08-14T21:39:47.1211960Z     
2025-08-14T21:39:47.1212173Z     Users are recommended to extend DefaultLoadPlanner instead of this interface directly as
2025-08-14T21:39:47.1212302Z     most changes can be expressed by changes in a single method.
2025-08-14T21:39:47.1212367Z     
2025-08-14T21:39:47.1212463Z     There are two usual patterns of extension:
2025-08-14T21:39:47.1212521Z     
2025-08-14T21:39:47.1212711Z     Rewriting state_dict. This is the simplest way to extend the load process as it
2025-08-14T21:39:47.1213017Z     doesn't requite understanding the intrincacies of how LoadPlan works. We need
2025-08-14T21:39:47.1213178Z     to keep a reference to the original state_dict as load happens in place so
2025-08-14T21:39:47.1213279Z     we need to be able to perform it in place
2025-08-14T21:39:47.1213337Z     
2025-08-14T21:39:47.1213425Z     >>> # xdoctest: +SKIP("undefined vars")
2025-08-14T21:39:47.1213524Z     >>> class RenamePlanner(DefaultLoadPlanner):
2025-08-14T21:39:47.1213603Z     >>>     def set_up_planner(
2025-08-14T21:39:47.1213671Z     >>>         self,
2025-08-14T21:39:47.1213753Z     >>>         state_dict: STATE_DICT_TYPE,
2025-08-14T21:39:47.1213828Z     >>>         metadata: Metadata,
2025-08-14T21:39:47.1213915Z     >>>         is_coordinator: bool,
2025-08-14T21:39:47.1213983Z     >>>     ) -> None:
2025-08-14T21:39:47.1214076Z     >>>         self.original_state_dict = state_dict
2025-08-14T21:39:47.1214309Z     >>>         state_dict = {"foo_" + k: v for k, v in state_dict.items()}
2025-08-14T21:39:47.1214378Z     >>>
2025-08-14T21:39:47.1214475Z     >>>         if self.flatten_sharded_tensors:
2025-08-14T21:39:47.1214588Z     >>>             state_dict = _flatten_sharded_tensors(state_dict)
2025-08-14T21:39:47.1214652Z     >>>
2025-08-14T21:39:47.1214737Z     >>>         if self.flatten_state_dict:
2025-08-14T21:39:47.1214867Z     >>>             state_dict, self.mappings = flatten_state_dict(state_dict)
2025-08-14T21:39:47.1214927Z     >>>
2025-08-14T21:39:47.1215013Z     >>>         self.state_dict = state_dict
2025-08-14T21:39:47.1215094Z     >>>         self.metadata = metadata
2025-08-14T21:39:47.1215182Z     >>>         self.is_coordinator = is_coordinator
2025-08-14T21:39:47.1215248Z     >>>
2025-08-14T21:39:47.1215338Z     >>>     def load_bytes(self, read_item, value):
2025-08-14T21:39:47.1215426Z     >>> # Remove the "foo_" prefix
2025-08-14T21:39:47.1215658Z     >>>         self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False)
2025-08-14T21:39:47.1215721Z     
2025-08-14T21:39:47.1215785Z     
2025-08-14T21:39:47.1215970Z     Modifying resolve_tensor and commit_tensor to handle load time transformation.
2025-08-14T21:39:47.1216028Z     
2025-08-14T21:39:47.1216118Z     >>> # xdoctest: +SKIP("undefined vars")
2025-08-14T21:39:47.1216234Z     >>> class MetaModelMaterialize(DefaultSavePlanner):
2025-08-14T21:39:47.1216320Z     >>>     def resolve_tensor(self, read_item):
2025-08-14T21:39:47.1216422Z     >>>         tensor = super().resolve_tensor(read_item)
2025-08-14T21:39:47.1216528Z     >>>         return torch.empty_like(tensor, device="cpu")
2025-08-14T21:39:47.1216590Z     >>>
2025-08-14T21:39:47.1216681Z     >>>     def commit_tensor(self, read_item, tensor):
2025-08-14T21:39:47.1216796Z     >>>         self.state_dict[read_item.dest_index.fqn] = tensor
2025-08-14T21:39:47.1216859Z     
2025-08-14T21:39:47.1217230Z     Original Error: IndentationError('expected an indented block after function definition on line 22', ('<source_block>', 23, 0, '_._ = None\n', 23, -1))
2025-08-14T21:39:47.1217293Z     
2025-08-14T21:39:47.1217365Z     _._ = None
2025-08-14T21:39:47.1217426Z     ^
2025-08-14T21:39:47.1217508Z       warnings.warn(msg)
2025-08-14T21:39:47.1217574Z     
2025-08-14T21:39:47.1217721Z --- Parse Warning: 15 / 17 ---
2025-08-14T21:39:47.1218379Z     /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.
2025-08-14T21:39:47.1218553Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T21:39:47.1218610Z     
2025-08-14T21:39:47.1218759Z     ``FullStateDictConfig`` is a config class meant to be used with
2025-08-14T21:39:47.1218900Z     ``StateDictType.FULL_STATE_DICT``. We recommend enabling both
2025-08-14T21:39:47.1219056Z     ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state
2025-08-14T21:39:47.1219293Z     dicts to save GPU memory and CPU memory, respectively. This config class
2025-08-14T21:39:47.1219434Z     is meant to be used via the :func:`state_dict_type` context manager as
2025-08-14T21:39:47.1219504Z     follows:
2025-08-14T21:39:47.1219563Z     
2025-08-14T21:39:47.1219656Z         >>> # xdoctest: +SKIP("undefined variables")
2025-08-14T21:39:47.1219830Z         >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-08-14T21:39:47.1219920Z         >>> fsdp = FSDP(model, auto_wrap_policy=...)
2025-08-14T21:39:47.1220065Z         >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True)
2025-08-14T21:39:47.1220224Z         >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg):
2025-08-14T21:39:47.1220305Z         >>>     state = fsdp.state_dict()
2025-08-14T21:39:47.1220516Z         >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0.
2025-08-14T21:39:47.1220692Z         >>> # To reload checkpoint for inference, finetuning, transfer learning, etc:
2025-08-14T21:39:47.1220860Z         >>> model = model_fn()  # Initialize model in preparation for wrapping with FSDP
2025-08-14T21:39:47.1220941Z         >>> if dist.get_rank() == 0:
2025-08-14T21:39:47.1221071Z         >>> # Load checkpoint only on rank 0 to avoid memory redundancy
2025-08-14T21:39:47.1221171Z         >>>     state_dict = torch.load("my_checkpoint.pt")
2025-08-14T21:39:47.1221262Z         >>>     model.load_state_dict(state_dict)
2025-08-14T21:39:47.1221427Z         >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument
2025-08-14T21:39:47.1221591Z         >>> # communicates loaded checkpoint states from rank 0 to rest of the world.
2025-08-14T21:39:47.1221668Z         >>> fsdp = FSDP(
2025-08-14T21:39:47.1221733Z         ...     model,
2025-08-14T21:39:47.1221836Z         ...     device_id=torch.cuda.current_device(),
2025-08-14T21:39:47.1221918Z         ...     auto_wrap_policy=...,
2025-08-14T21:39:47.1221993Z         ...     sync_module_states=True,
2025-08-14T21:39:47.1222064Z         ... )
2025-08-14T21:39:47.1222214Z         >>> # After this point, all ranks have FSDP model with loaded checkpoint.
2025-08-14T21:39:47.1222273Z     
2025-08-14T21:39:47.1222344Z     Attributes:
2025-08-14T21:39:47.1222488Z         rank0_only (bool): If ``True``, then only rank 0 saves the full state
2025-08-14T21:39:47.1222634Z             dict, and nonzero ranks save an empty dict. If ``False``, then all
2025-08-14T21:39:47.1222764Z             ranks save the full state dict. (Default: ``False``)
2025-08-14T21:39:47.1222825Z     
2025-08-14T21:39:47.1223172Z     Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('<source_block>', 11, 1, '_._ = None\n', 11, 2))
2025-08-14T21:39:47.1223233Z     
2025-08-14T21:39:47.1223294Z     _._ = None
2025-08-14T21:39:47.1223360Z     ^
2025-08-14T21:39:47.1223435Z       warnings.warn(msg)
2025-08-14T21:39:47.1223496Z     
2025-08-14T21:39:47.1223641Z --- Parse Warning: 16 / 17 ---
2025-08-14T21:39:47.1224311Z     /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.
2025-08-14T21:39:47.1224491Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T21:39:47.1224601Z     Register a parametrization to a tensor in a module.
2025-08-14T21:39:47.1224660Z     
2025-08-14T21:39:47.1224862Z         Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``,
2025-08-14T21:39:47.1225062Z         the module will return the parametrized version ``parametrization(module.weight)``.
2025-08-14T21:39:47.1225248Z         If the original tensor requires a gradient, the backward pass will differentiate
2025-08-14T21:39:47.1225464Z         through :attr:`parametrization`, and the optimizer will update the tensor accordingly.
2025-08-14T21:39:47.1225610Z     
2025-08-14T21:39:47.1225837Z         The first time that a module registers a parametrization, this function will add an attribute
2025-08-14T21:39:47.1226010Z         ``parametrizations`` to the module of type :class:`~ParametrizationList`.
2025-08-14T21:39:47.1226071Z     
2025-08-14T21:39:47.1226255Z         The list of parametrizations on the tensor ``weight`` will be accessible under
2025-08-14T21:39:47.1226344Z         ``module.parametrizations.weight``.
2025-08-14T21:39:47.1226410Z     
2025-08-14T21:39:47.1226513Z         The original tensor will be accessible under
2025-08-14T21:39:47.1226621Z         ``module.parametrizations.weight.original``.
2025-08-14T21:39:47.1226682Z     
2025-08-14T21:39:47.1226872Z         Parametrizations may be concatenated by registering several parametrizations
2025-08-14T21:39:47.1226946Z         on the same attribute.
2025-08-14T21:39:47.1227021Z     
2025-08-14T21:39:47.1227256Z         The training mode of a registered parametrization is updated on registration
2025-08-14T21:39:47.1227368Z         to match the training mode of the host module
2025-08-14T21:39:47.1227440Z     
2025-08-14T21:39:47.1227658Z         Parametrized parameters and buffers have an inbuilt caching system that can be activated
2025-08-14T21:39:47.1227751Z         using the context manager :func:`cached`.
2025-08-14T21:39:47.1227814Z     
2025-08-14T21:39:47.1227982Z         A :attr:`parametrization` may optionally implement a method with signature
2025-08-14T21:39:47.1228039Z     
2025-08-14T21:39:47.1228130Z         .. code-block:: python
2025-08-14T21:39:47.1228189Z     
2025-08-14T21:39:47.1228352Z             def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]]
2025-08-14T21:39:47.1228414Z     
2025-08-14T21:39:47.1228603Z         This method is called on the unparametrized tensor when the first parametrization
2025-08-14T21:39:47.1228761Z         is registered to compute the initial value of the original tensor.
2025-08-14T21:39:47.1228984Z         If this method is not implemented, the original tensor will be just the unparametrized tensor.
2025-08-14T21:39:47.1229050Z     
2025-08-14T21:39:47.1229275Z         If all the parametrizations registered on a tensor implement `right_inverse` it is possible
2025-08-14T21:39:47.1229473Z         to initialize a parametrized tensor by assigning to it, as shown in the example below.
2025-08-14T21:39:47.1229541Z     
2025-08-14T21:39:47.1229699Z         It is possible for the first parametrization to depend on several inputs.
2025-08-14T21:39:47.1229868Z         This may be implemented returning a tuple of tensors from ``right_inverse``
2025-08-14T21:39:47.1230037Z         (see the example implementation of a ``RankOne`` parametrization below).
2025-08-14T21:39:47.1230095Z     
2025-08-14T21:39:47.1230333Z         In this case, the unconstrained tensors are also located under ``module.parametrizations.weight``
2025-08-14T21:39:47.1230437Z         with names ``original0``, ``original1``,...
2025-08-14T21:39:47.1230497Z     
2025-08-14T21:39:47.1230565Z         .. note::
2025-08-14T21:39:47.1230630Z     
2025-08-14T21:39:47.1230819Z             If unsafe=False (default) both the forward and right_inverse methods will be called
2025-08-14T21:39:47.1237358Z             once to perform a number of consistency checks.
2025-08-14T21:39:47.1237615Z             If unsafe=True, then right_inverse will be called if the tensor is not parametrized,
2025-08-14T21:39:47.1237723Z             and nothing will be called otherwise.
2025-08-14T21:39:47.1237782Z     
2025-08-14T21:39:47.1237854Z         .. note::
2025-08-14T21:39:47.1237915Z     
2025-08-14T21:39:47.1238070Z             In most situations, ``right_inverse`` will be a function such that
2025-08-14T21:39:47.1238167Z             ``forward(right_inverse(X)) == X`` (see
2025-08-14T21:39:47.1238396Z             `right inverse <https://en.wikipedia.org/wiki/Inverse_function#Right_inverses>`_).
2025-08-14T21:39:47.1238580Z             Sometimes, when the parametrization is not surjective, it may be reasonable
2025-08-14T21:39:47.1238765Z             to relax this.
2025-08-14T21:39:47.1238828Z     
2025-08-14T21:39:47.1238891Z         .. warning::
2025-08-14T21:39:47.1238952Z     
2025-08-14T21:39:47.1239152Z             If a parametrization depends on several inputs, :func:`~register_parametrization`
2025-08-14T21:39:47.1239336Z             will register a number of new parameters. If such parametrization is registered
2025-08-14T21:39:47.1239532Z             after the optimizer is created, these new parameters will need to be added manually
2025-08-14T21:39:47.1239675Z             to the optimizer. See :meth:`torch.Optimizer.add_param_group`.
2025-08-14T21:39:47.1239730Z     
2025-08-14T21:39:47.1239800Z         Args:
2025-08-14T21:39:47.1239951Z             module (nn.Module): module on which to register the parametrization
2025-08-14T21:39:47.1240184Z             tensor_name (str): name of the parameter or buffer on which to register
2025-08-14T21:39:47.1240268Z                 the parametrization
2025-08-14T21:39:47.1240420Z             parametrization (nn.Module): the parametrization to register
2025-08-14T21:39:47.1240489Z         Keyword args:
2025-08-14T21:39:47.1240645Z             unsafe (bool): a boolean flag that denotes whether the parametrization
2025-08-14T21:39:47.1240785Z                 may change the dtype and shape of the tensor. Default: `False`
2025-08-14T21:39:47.1240977Z                 Warning: the parametrization is not checked for consistency upon registration.
2025-08-14T21:39:47.1241067Z                 Enable this flag at your own risk.
2025-08-14T21:39:47.1241128Z     
2025-08-14T21:39:47.1241192Z         Raises:
2025-08-14T21:39:47.1241397Z             ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name`
2025-08-14T21:39:47.1241462Z     
2025-08-14T21:39:47.1241528Z         Examples:
2025-08-14T21:39:47.1241642Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK)
2025-08-14T21:39:47.1241716Z             >>> import torch
2025-08-14T21:39:47.1241796Z             >>> import torch.nn as nn
2025-08-14T21:39:47.1241988Z             >>> import torch.nn.utils.parametrize as P
2025-08-14T21:39:47.1242057Z             >>>
2025-08-14T21:39:47.1242140Z             >>> class Symmetric(nn.Module):
2025-08-14T21:39:47.1242227Z             >>>     def forward(self, X):
2025-08-14T21:39:47.1242368Z             >>>         return X.triu() + X.triu(1).T  # Return a symmetric matrix
2025-08-14T21:39:47.1242430Z             >>>
2025-08-14T21:39:47.1242520Z             >>>     def right_inverse(self, A):
2025-08-14T21:39:47.1242590Z             >>>         return A.triu()
2025-08-14T21:39:47.1242649Z             >>>
2025-08-14T21:39:47.1242728Z             >>> m = nn.Linear(5, 5)
2025-08-14T21:39:47.1242849Z             >>> P.register_parametrization(m, "weight", Symmetric())
2025-08-14T21:39:47.1243024Z             >>> print(torch.allclose(m.weight, m.weight.T))  # m.weight is now symmetric
2025-08-14T21:39:47.1243088Z             True
2025-08-14T21:39:47.1243166Z             >>> A = torch.rand(5, 5)
2025-08-14T21:39:47.1243252Z             >>> A = A + A.T  # A is now symmetric
2025-08-14T21:39:47.1243398Z             >>> m.weight = A  # Initialize the weight to be the symmetric matrix A
2025-08-14T21:39:47.1243487Z             >>> print(torch.allclose(m.weight, A))
2025-08-14T21:39:47.1243555Z             True
2025-08-14T21:39:47.1243615Z     
2025-08-14T21:39:47.1243694Z             >>> class RankOne(nn.Module):
2025-08-14T21:39:47.1243779Z             >>>     def forward(self, x, y):
2025-08-14T21:39:47.1243886Z             >>> # Form a rank 1 matrix multiplying two vectors
2025-08-14T21:39:47.1243983Z             >>>         return x.unsqueeze(-1) @ y.unsqueeze(-2)
2025-08-14T21:39:47.1244050Z             >>>
2025-08-14T21:39:47.1244133Z             >>>     def right_inverse(self, Z):
2025-08-14T21:39:47.1244225Z             >>> # Project Z onto the rank 1 matrices
2025-08-14T21:39:47.1244343Z             >>>         U, S, Vh = torch.linalg.svd(Z, full_matrices=False)
2025-08-14T21:39:47.1244503Z             >>> # Return rescaled singular vectors
2025-08-14T21:39:47.1244594Z             >>>         s0_sqrt = S[0].sqrt().unsqueeze(-1)
2025-08-14T21:39:47.1244702Z             >>>         return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt
2025-08-14T21:39:47.1244759Z             >>>
2025-08-14T21:39:47.1244873Z             >>> linear_rank_one = P.register_parametrization(
2025-08-14T21:39:47.1244962Z             ...     nn.Linear(4, 4), "weight", RankOne()
2025-08-14T21:39:47.1245026Z             ... )
2025-08-14T21:39:47.1245177Z             >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item())
2025-08-14T21:39:47.1245240Z             1
2025-08-14T21:39:47.1245297Z     
2025-08-14T21:39:47.1245365Z         
2025-08-14T21:39:47.1245804Z     Original Error: IndentationError('expected an indented block after function definition on line 2', ('<source_block>', 3, 0, '_._ = None\n', 3, -1))
2025-08-14T21:39:47.1245876Z     
2025-08-14T21:39:47.1245940Z     _._ = None
2025-08-14T21:39:47.1245999Z     ^
2025-08-14T21:39:47.1246080Z       warnings.warn(msg)
2025-08-14T21:39:47.1246136Z     
2025-08-14T21:39:47.1246320Z --- Parse Warning: 17 / 17 ---
2025-08-14T21:39:47.1246980Z     /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.
2025-08-14T21:39:47.1247155Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T21:39:47.1247289Z     Reduce learning rate when a metric has stopped improving.
2025-08-14T21:39:47.1247350Z     
2025-08-14T21:39:47.1247496Z         Models often benefit from reducing the learning rate by a factor
2025-08-14T21:39:47.1247642Z         of 2-10 once learning stagnates. This scheduler reads a metrics
2025-08-14T21:39:47.1247785Z         quantity and if no improvement is seen for a 'patience' number
2025-08-14T21:39:47.1247877Z         of epochs, the learning rate is reduced.
2025-08-14T21:39:47.1247944Z     
2025-08-14T21:39:47.1248006Z         Args:
2025-08-14T21:39:47.1248102Z             optimizer (Optimizer): Wrapped optimizer.
2025-08-14T21:39:47.1248222Z             mode (str): One of `min`, `max`. In `min` mode, lr will
2025-08-14T21:39:47.1248337Z                 be reduced when the quantity monitored has stopped
2025-08-14T21:39:47.1248457Z                 decreasing; in `max` mode it will be reduced when the
2025-08-14T21:39:47.1248593Z                 quantity monitored has stopped increasing. Default: 'min'.
2025-08-14T21:39:47.1248709Z             factor (float): Factor by which the learning rate will be
2025-08-14T21:39:47.1248816Z                 reduced. new_lr = lr * factor. Default: 0.1.
2025-08-14T21:39:47.1248973Z             patience (int): The number of allowed epochs with no improvement after
2025-08-14T21:39:47.1249065Z                 which the learning rate will be reduced.
2025-08-14T21:39:47.1249236Z                 For example, consider the case of having no patience (`patience = 0`).
2025-08-14T21:39:47.1249492Z                 In the first epoch, a baseline is established and is always considered good as there's no previous baseline.
2025-08-14T21:39:47.1249640Z                 In the second epoch, if the performance is worse than the baseline,
2025-08-14T21:39:47.1249751Z                 we have what is considered an intolerable epoch.
2025-08-14T21:39:47.1249949Z                 Since the count of intolerable epochs (1) is greater than the patience level (0),
2025-08-14T21:39:47.1250077Z                 the learning rate is reduced at the end of this epoch.
2025-08-14T21:39:47.1250302Z                 From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch
2025-08-14T21:39:47.1250528Z                 if the performance is worse than the baseline. If the performance improves or remains the same,
2025-08-14T21:39:47.1250619Z                 the learning rate is not adjusted.
2025-08-14T21:39:47.1250763Z                 Default: 10.
2025-08-14T21:39:47.1250903Z             threshold (float): Threshold for measuring the new optimum,
2025-08-14T21:39:47.1251012Z                 to only focus on significant changes. Default: 1e-4.
2025-08-14T21:39:47.1251126Z             threshold_mode (str): One of `rel`, `abs`. In `rel` mode,
2025-08-14T21:39:47.1251243Z                 dynamic_threshold = best * ( 1 + threshold ) in 'max'
2025-08-14T21:39:47.1251347Z                 mode or best * ( 1 - threshold ) in `min` mode.
2025-08-14T21:39:47.1251462Z                 In `abs` mode, dynamic_threshold = best + threshold in
2025-08-14T21:39:47.1251589Z                 `max` mode or best - threshold in `min` mode. Default: 'rel'.
2025-08-14T21:39:47.1251708Z             cooldown (int): Number of epochs to wait before resuming
2025-08-14T21:39:47.1251909Z                 normal operation after lr has been reduced. Default: 0.
2025-08-14T21:39:47.1252027Z             min_lr (float or list): A scalar or a list of scalars. A
2025-08-14T21:39:47.1252137Z                 lower bound on the learning rate of all param groups
2025-08-14T21:39:47.1252238Z                 or each group respectively. Default: 0.
2025-08-14T21:39:47.1252358Z             eps (float): Minimal decay applied to lr. If the difference
2025-08-14T21:39:47.1252491Z                 between new and old lr is smaller than eps, the update is
2025-08-14T21:39:47.1252576Z                 ignored. Default: 1e-8.
2025-08-14T21:39:47.1252634Z     
2025-08-14T21:39:47.1252706Z         Example:
2025-08-14T21:39:47.1252777Z             >>> # xdoctest: +SKIP
2025-08-14T21:39:47.1252940Z             >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9)
2025-08-14T21:39:47.1253054Z             >>> scheduler = ReduceLROnPlateau(optimizer, "min")
2025-08-14T21:39:47.1253134Z             >>> for epoch in range(10):
2025-08-14T21:39:47.1253207Z             >>>     train(...)
2025-08-14T21:39:47.1253299Z             >>>     val_loss = validate(...)
2025-08-14T21:39:47.1253406Z             >>> # Note that step should be called after validate()
2025-08-14T21:39:47.1253489Z             >>>     scheduler.step(val_loss)
2025-08-14T21:39:47.1253550Z     
2025-08-14T21:39:47.1253686Z         .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png
2025-08-14T21:39:47.1253748Z         
2025-08-14T21:39:47.1254035Z     Original Error: IndentationError('unexpected indent', ('<source_block>', 8, 4, '    scheduler.step(val_loss)\n', 8, -1))
2025-08-14T21:39:47.1254102Z     
2025-08-14T21:39:47.1254189Z         scheduler.step(val_loss)
2025-08-14T21:39:47.1254249Z        ^
2025-08-14T21:39:47.1254321Z       warnings.warn(msg)
2025-08-14T21:39:47.1254384Z     
2025-08-14T21:39:47.1254467Z 
2025-08-14T21:39:47.1254591Z === Found 9 run-time warnings ===
2025-08-14T21:39:47.1254730Z --- Runtime Warning: 1 / 9 ---
2025-08-14T21:39:47.1254919Z example = <DocTest(torch._tensor Tensor.refine_names:0 ln 1333) at 0x7febb586bf10>
2025-08-14T21:39:47.1255879Z     /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:1975.)
2025-08-14T21:39:47.1255964Z       return super().refine_names(names)
2025-08-14T21:39:47.1256025Z     
2025-08-14T21:39:47.1256155Z --- Runtime Warning: 2 / 9 ---
2025-08-14T21:39:47.1256374Z example = <DocTest(torch.library Library._impl_with_aoti_compile:0 ln 247) at 0x7febb587a560>
2025-08-14T21:39:47.1256816Z     /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.
2025-08-14T21:39:47.1257041Z       Overriding a previously registered kernel for the same operator and the same dispatch key
2025-08-14T21:39:47.1257262Z       operator: aten::div.Tensor(Tensor self, Tensor other) -> Tensor
2025-08-14T21:39:47.1257472Z         registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSchema.cpp:6
2025-08-14T21:39:47.1257544Z       dispatch key: CPU
2025-08-14T21:39:47.1257849Z       previous kernel: registered at /var/lib/jenkins/workspace/aten/src/ATen/LegacyBatchingRegistrations.cpp:1079
2025-08-14T21:39:47.1258234Z            new kernel: registered at /dev/null:811 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/core/dispatch/OperatorEntry.cpp:218.)
2025-08-14T21:39:47.1258350Z       impl_fn(self.ns, name.split("::")[-1], dispatch_key)
2025-08-14T21:39:47.1258418Z     
2025-08-14T21:39:47.1258546Z --- Runtime Warning: 3 / 9 ---
2025-08-14T21:39:47.1258790Z example = <DocTest(torch.nested as_nested_tensor:0 ln 61) at 0x7febb569f430>
2025-08-14T21:39:47.1260057Z     /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.)
2025-08-14T21:39:47.1260241Z       return torch._nested_tensor_from_tensor_list(ts, dtype, None, device, None)
2025-08-14T21:39:47.1260303Z     
2025-08-14T21:39:47.1260430Z --- Runtime Warning: 4 / 9 ---
2025-08-14T21:39:47.1260620Z example = <DocTest(torch.sparse as_sparse_gradcheck:0 ln 561) at 0x7febb581f3d0>
2025-08-14T21:39:47.1261716Z     <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.)
2025-08-14T21:39:47.1261783Z     
2025-08-14T21:39:47.1261906Z --- Runtime Warning: 5 / 9 ---
2025-08-14T21:39:47.1262122Z example = <DocTest(torch._functorch.eager_transforms linearize:0 ln 1704) at 0x7febb5756e30>
2025-08-14T21:39:47.1263155Z     /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
2025-08-14T21:39:47.1263272Z       new_node = root_const_gm.graph.get_attr(in_node.target)
2025-08-14T21:39:47.1263337Z     
2025-08-14T21:39:47.1263463Z --- Runtime Warning: 6 / 9 ---
2025-08-14T21:39:47.1263669Z example = <DocTest(torch.nn.modules.transformer Transformer:0 ln 90) at 0x7febb56bbee0>
2025-08-14T21:39:47.1264438Z     /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)
2025-08-14T21:39:47.1264510Z       warnings.warn(
2025-08-14T21:39:47.1264577Z     
2025-08-14T21:39:47.1264700Z --- Runtime Warning: 7 / 9 ---
2025-08-14T21:39:47.1264933Z example = <DocTest(torch.nn.modules.transformer TransformerEncoder:0 ln 336) at 0x7febb56bb880>
2025-08-14T21:39:47.1265682Z     /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)
2025-08-14T21:39:47.1265752Z       warnings.warn(
2025-08-14T21:39:47.1265892Z     
2025-08-14T21:39:47.1266026Z --- Runtime Warning: 8 / 9 ---
2025-08-14T21:39:47.1266224Z example = <DocTest(torch.nn.utils.weight_norm weight_norm:0 ln 134) at 0x7febb57f1090>
2025-08-14T21:39:47.1266782Z     /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`.
2025-08-14T21:39:47.1266873Z       WeightNorm.apply(module, name, dim)
2025-08-14T21:39:47.1266934Z     
2025-08-14T21:39:47.1267061Z --- Runtime Warning: 9 / 9 ---
2025-08-14T21:39:47.1267272Z example = <DocTest(torch.nn.utils.weight_norm remove_weight_norm:0 ln 156) at 0x7febb57f0cd0>
2025-08-14T21:39:47.1267886Z     /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`.
2025-08-14T21:39:47.1267982Z       WeightNorm.apply(module, name, dim)
2025-08-14T21:39:47.1268039Z     
2025-08-14T21:39:47.1268255Z === 374 passed, 489 skipped, 26 warnings in 14.64 seconds ===
2025-08-14T21:39:47.1268413Z Running inductor/test_max_autotune 1/1 ... [2025-08-14 21:39:47.099557]
2025-08-14T21:39:47.1268495Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T21:39:47.1269103Z 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'] ... [2025-08-14 21:39:47.099889]
2025-08-14T21:39:53.9122379Z 
2025-08-14T21:39:53.9123233Z 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_5193972e778c0c76_.log
2025-08-14T21:39:53.9123925Z 
2025-08-14T21:39:53.9126573Z Running inductor/test_flex_attention 1/6 ... [2025-08-14 21:39:53.912466]
2025-08-14T21:39:53.9127027Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T21:39:53.9130432Z 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'] ... [2025-08-14 21:39:53.912804]
2025-08-14T21:48:47.5124791Z 
2025-08-14T21:48:47.5125577Z 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_937b557e897fe2cf_.log
2025-08-14T21:48:47.5169664Z Running 120 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, 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test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flipped_indexed_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:bfloat16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flipped_indexed_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flipped_indexed_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_global_tokens_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_head_specific_gate_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_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:float16_mode_default_cuda, 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2025-08-14T21:48:47.5212325Z 
2025-08-14T21:48:47.5212512Z Running inductor/test_flex_attention 2/6 ... [2025-08-14 21:48:47.512100]
2025-08-14T21:48:47.5212852Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T21:48:47.5213632Z 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'] ... [2025-08-14 21:48:47.512487]
2025-08-14T21:58:15.0791731Z 
2025-08-14T21:58:15.0792752Z 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_0588eed089c3e0f3_.log
2025-08-14T21:58:15.0841333Z Running 128 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, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE3_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod3_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_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod5_BLOCK_SIZE2_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod6_BLOCK_SIZE_128_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod6_BLOCK_SIZE_256_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE2_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE2_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE_128_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE_256_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE_256_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_dynamic_score_mask_mod0_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_score_mod0_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_score_mod2_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_score_mod6_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_score_mod7_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_seqlen_lt_custom_sparse_block_size_score_mod5_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_seqlen_lt_default_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_mod6_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_causal_block_non_divisible_with_captured_buffer_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_cpu_error_message_return_lse_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_document_masking_edge_case_mode_aot_eager_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_document_masking_edge_case_mode_eager_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_dynamic_shapes_bug_dynamic_batch_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_epilogue_fused_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_backward_stride_ordering_mode_inductor_permute_order0_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_backward_stride_ordering_mode_inductor_permute_order1_shape0_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_backward_stride_ordering_mode_inductor_permute_order2_shape0_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_backward_stride_ordering_mode_inductor_permute_order3_shape0_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_backward_stride_ordering_mode_inductor_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_inductor_permute_order0_shape0_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order0_shape0_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order2_shape0_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order4_shape0_cuda, 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test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_local_window_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:bfloat16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_multiplicative_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_multiplicative_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:bfloat16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_relative_1d_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_mode_default_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_relative_1d_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_mode_default_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_relative_1d_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_mode_max-autotune-no-cudagraphs_cuda, 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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
2025-08-14T21:58:15.0887557Z 
2025-08-14T21:58:15.0887746Z Running inductor/test_flex_attention 3/6 ... [2025-08-14 21:58:15.079470]
2025-08-14T21:58:15.0888081Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T21:58:15.0888854Z 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'] ... [2025-08-14 21:58:15.079783]
2025-08-14T22:06:27.7076990Z 
2025-08-14T22:06:27.7078134Z 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_b588b6622949668d_.log
2025-08-14T22:06:27.7120542Z Running 105 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, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE_256_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod5_BLOCK_SIZE2_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod5_BLOCK_SIZE_128_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod6_BLOCK_SIZE3_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE3_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE_128_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_seqlen_score_mod3_cuda_float16, 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2025-08-14T22:06:27.7158192Z 
2025-08-14T22:06:28.1084901Z Uploading artifacts took 0.40 seconds
2025-08-14T22:06:28.1088690Z Running inductor/test_flex_attention 4/6 ... [2025-08-14 22:06:28.108646]
2025-08-14T22:06:28.1089139Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T22:06:28.1092114Z 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'] ... [2025-08-14 22:06:28.108991]
2025-08-14T22:14:22.4191351Z 
2025-08-14T22:14:22.4194233Z 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_591064f7571df5bd_.log
2025-08-14T22:14:22.4234165Z 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, 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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
2025-08-14T22:14:22.4271802Z 
2025-08-14T22:14:22.4271980Z Running inductor/test_flex_attention 5/6 ... [2025-08-14 22:14:22.419477]
2025-08-14T22:14:22.4272311Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T22:14:22.4273090Z 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'] ... [2025-08-14 22:14:22.419866]
2025-08-14T22:23:15.3873951Z 
2025-08-14T22:23:15.3874867Z 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_c2f49f3fb638a6bb_.log
2025-08-14T22:23:15.3922248Z Running 125 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, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod6_BLOCK_SIZE2_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod6_BLOCK_SIZE2_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod6_BLOCK_SIZE3_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE_128_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE_256_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_seqlen_score_mod2_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_score_mod1_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_score_mod1_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_score_mod1_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_score_mod2_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_score_mod3_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_score_mod4_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_score_mod4_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_score_mod7_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_seqlen_lt_custom_sparse_block_size_score_mod1_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_seqlen_lt_default_sparse_block_size_score_mod0_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_seqlen_lt_default_sparse_block_size_score_mod3_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_captured_buffers_all_dims_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_captured_scale_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_causal_block_non_divisible_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_custom_block_mask_generator_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_differentiable_logsumexp_compiled_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_differentiable_logsumexp_gradcheck_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_dynamic_shapes_with_custom_kernel_options_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_backward_stride_ordering_mode_eager_permute_order1_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_backward_stride_ordering_mode_eager_permute_order2_shape0_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_backward_stride_ordering_mode_eager_permute_order2_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_backward_stride_ordering_mode_eager_permute_order4_shape0_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_backward_stride_ordering_mode_eager_permute_order4_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_backward_stride_ordering_mode_inductor_permute_order2_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_eager_permute_order1_shape0_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_eager_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_eager_permute_order4_shape0_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_inductor_permute_order2_shape0_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_inductor_permute_order2_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_inductor_permute_order3_shape0_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_index_multiple_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_index_weird2_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_invalid_block_size_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims0_head_dims0_score_mod0_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims0_head_dims0_score_mod3_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims0_head_dims0_score_mod6_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims0_head_dims1_score_mod1_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims0_head_dims1_score_mod5_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims0_head_dims1_score_mod7_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims1_head_dims0_score_mod2_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims2_head_dims0_score_mod5_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims2_head_dims1_score_mod6_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims0_head_dims0_score_mod5_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims0_head_dims0_score_mod7_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims0_head_dims1_score_mod3_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims1_head_dims1_score_mod4_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims2_head_dims0_score_mod3_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims2_head_dims0_score_mod5_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims2_head_dims1_score_mod3_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims2_head_dims1_score_mod5_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_logsumexp_correctness_score_mod0_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_multiple_score_mod_calls2_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_non_divisible_with_captured_buffer_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_non_equal_head_dims_score_mod0_head_dims0_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_non_equal_head_dims_score_mod2_head_dims0_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_non_equal_head_dims_score_mod5_head_dims1_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_non_equal_head_dims_score_mod5_head_dims1_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_non_equal_head_dims_score_mod6_head_dims0_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_non_pow_2_headdim_head_dim_121_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_non_pow_2_headdim_head_dim_94_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_qkv_and_block_mask_on_the_same_device_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_selective_ac_ops_to_save2_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_skip_odd_keys_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_small_q_kv_len_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_strided_backwards_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_strided_inputs_q_s0_k_s1_v_s1_do_s0_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_strided_inputs_q_s0_k_s1_v_s1_do_s2_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_strided_inputs_q_s0_k_s2_v_s2_do_s0_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_strided_inputs_q_s0_k_s2_v_s2_do_s1_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_strided_inputs_q_s1_k_s2_v_s2_do_s1_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_strided_inputs_q_s1_k_s3_v_s3_do_s0_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_tensor_subclass_dispatch_order_cuda, test/inductor/test_flex_attention.py::TestPagedAttentionCUDA::test_page_allocation_cuda, test/inductor/test_flex_attention.py::TestPagedAttentionCUDA::test_paged_builtin_score_mods_score_mod0_cuda_bfloat16, test/inductor/test_flex_attention.py::TestPagedAttentionCUDA::test_paged_builtin_score_mods_score_mod2_cuda_bfloat16, test/inductor/test_flex_attention.py::TestPagedAttentionCUDA::test_paged_builtin_score_mods_score_mod2_cuda_float16, test/inductor/test_flex_attention.py::TestPagedAttentionCUDA::test_paged_builtin_score_mods_score_mod4_cuda_float32, test/inductor/test_flex_attention.py::TestPagedAttentionCUDA::test_paged_builtin_score_mods_score_mod6_cuda_float16, test/inductor/test_flex_attention.py::TestBlockMaskCUDA::test_block_mask_vs_sequence_lengths_compile_False_cuda, test/inductor/test_flex_attention.py::TestBlockMaskCUDA::test_block_size_changes_BLOCK_SIZE_128_cuda, test/inductor/test_flex_attention.py::TestBlockMaskCUDA::test_compiling_create_block_mask_cuda, test/inductor/test_flex_attention.py::TestBlockMaskCUDA::test_from_kv_blocks_full_indices_False_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_absolute_2d_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:256_headdim:16_dtype:float32_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_batch_head_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:bfloat16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_global_tokens_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_global_tokens_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:bfloat16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_head_specific_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_head_specific_gate_batch:2_head:4_seq_len:37_headdim:16_dtype:bfloat16_mode_max-autotune-no-cudagraphs_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_head_specific_gate_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_indirect_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_local_window_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_multiplicative_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:bfloat16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_multiplicative_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:bfloat16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_relative_1d_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_mode_max-autotune-no-cudagraphs_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_relative_1d_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:bfloat16_mode_default_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_relative_1d_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:bfloat16_mode_max-autotune-no-cudagraphs_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_relative_1d_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_mode_default_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_relative_1d_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:256_headdim:16_dtype:bfloat16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_symmetric_bias_batch:2_head:4_seq_len: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
2025-08-14T22:23:15.3966533Z 
2025-08-14T22:23:15.3966712Z Running inductor/test_flex_attention 6/6 ... [2025-08-14 22:23:15.387767]
2025-08-14T22:23:15.3967040Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T22:23:15.3967830Z 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'] ... [2025-08-14 22:23:15.388102]
2025-08-14T22:32:47.1517718Z 
2025-08-14T22:32:47.1518872Z 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_8b38874429e975d8_.log
2025-08-14T22:32:47.1567650Z Running 133 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, 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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
2025-08-14T22:32:47.1615468Z 
2025-08-14T22:32:47.4860880Z Uploading artifacts took 0.33 seconds
2025-08-14T22:32:47.4864149Z Running inductor/test_benchmark_fusion 1/1 ... [2025-08-14 22:32:47.486212]
2025-08-14T22:32:47.4864610Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T22:32:47.4867894Z 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'] ... [2025-08-14 22:32:47.486538]
2025-08-14T22:33:08.6382678Z 
2025-08-14T22:33:08.6383618Z 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_f923680dba0ebc88_.log
2025-08-14T22:33:08.6390141Z 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
2025-08-14T22:33:08.6395105Z 
2025-08-14T22:33:08.6395283Z Running inductor/test_cutlass_backend 1/1 ... [2025-08-14 22:33:08.638363]
2025-08-14T22:33:08.6395614Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T22:33:08.6396380Z 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'] ... [2025-08-14 22:33:08.638665]
2025-08-14T22:33:14.1493715Z 
2025-08-14T22:33:14.1494771Z 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_6622e416c5eafc6c_.log
2025-08-14T22:33:14.1495586Z 
2025-08-14T22:33:14.1496875Z Running dynamo/test_fake_distributed 1/1 ... [2025-08-14 22:33:14.149448]
2025-08-14T22:33:14.1497379Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T22:33:14.1500088Z 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'] ... [2025-08-14 22:33:14.149771]
2025-08-14T22:33:21.6770675Z 
2025-08-14T22:33:21.6771937Z 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_4faa9fb1021df4f2_.log
2025-08-14T22:33:21.6773269Z Running 1 items in this shard: test/dynamo/test_fake_distributed.py::TestFakeDistributed::test_all_to_all_single_autograd
2025-08-14T22:33:21.6773663Z 
2025-08-14T22:33:21.6776093Z Running inductor/test_distributed_patterns 1/1 ... [2025-08-14 22:33:21.677367]
2025-08-14T22:33:21.6776568Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T22:33:21.6780269Z 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'] ... [2025-08-14 22:33:21.677758]
2025-08-14T22:33:45.8851277Z 
2025-08-14T22:33:45.8852825Z 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_8344cabb96c0be65_.log
2025-08-14T22:33:45.8862634Z 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
2025-08-14T22:33:45.8869178Z 
2025-08-14T22:33:45.8869355Z Running test_cpp_api_parity 1/1 ... [2025-08-14 22:33:45.885399]
2025-08-14T22:33:45.8869655Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T22:33:45.8870576Z 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'] ... [2025-08-14 22:33:45.885797]
2025-08-14T22:34:01.9271924Z 
2025-08-14T22:34:01.9272961Z 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_dd4503ce1ae65417_.log
2025-08-14T22:34:01.9400501Z Running 488 items in this shard: test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_mean, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_mean_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_none, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_none_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_sum, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_sum_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_mean, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_mean_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_none, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_none_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_sum, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_sum_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_circular_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_circular_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_groups, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_groups_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad1, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad1_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad1size1, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad1size1_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad2size1, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad2size1_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_valid, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_valid_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_reflect_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_reflect_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_replicate_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_replicate_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_stride, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_stride_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_zero_batch, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_zero_batch_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_zeros_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_zeros_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_circular_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_circular_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_padded, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_padded_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_strided, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_strided_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_with_multiplier, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_with_multiplier_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_groups, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_groups_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_groups_thnn, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_groups_thnn_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_no_bias, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_no_bias_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_pad_same, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_pad_same_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_pad_same_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_pad_same_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_pad_valid, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_pad_valid_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_padding, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_padding_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_reflect_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_reflect_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_replicate_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_replicate_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_strided, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_strided_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_zero_batch, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_zero_batch_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_zeros_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_zeros_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_1x1x1_no_bias, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_1x1x1_no_bias_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_circular_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_circular_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_dilated_strided, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_dilated_strided_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_groups, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_groups_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_no_bias, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_no_bias_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_pad_same, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_pad_same_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_pad_same_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_pad_same_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_pad_valid, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_pad_valid_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_replicate_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_replicate_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_stride, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_stride_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_stride_padding, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_stride_padding_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_zero_batch, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_zero_batch_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_zeros_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_zeros_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose1d_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose1d_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose1d_groups, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose1d_groups_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose1d_no_bias, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose1d_no_bias_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose2d_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose2d_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose2d_groups, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose2d_groups_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose2d_no_bias, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose2d_no_bias_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose3d, 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test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_MultiMarginLoss_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_MultiMarginLoss_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_MultiMarginLoss_p_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_MultiMarginLoss_p_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_MultiMarginLoss_weights_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_MultiMarginLoss_weights_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLoss2d_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLoss2d_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLoss2d_no_reduce_ignore_index, 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test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLoss_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLoss_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLoss_no_reduce_ignore_index, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLoss_no_reduce_ignore_index_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLoss_no_reduce_weights, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLoss_no_reduce_weights_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLoss_no_reduce_weights_ignore_index, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLoss_no_reduce_weights_ignore_index_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLoss_no_reduce_weights_ignore_index_neg, 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test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_tuple_shared_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_tuple_shared_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_tuple_skewed_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_tuple_skewed_2d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_tuple_skewed_2d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_tuple_skewed_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_tuple_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_tuple_2d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_tuple_2d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_tuple_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_2d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_2d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_2d_cuda, 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test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_scale_1d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_scale_1d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_scale_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_tuple_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_tuple_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_1d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_1d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_launch_configs, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_launch_configs_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_3d_zero_dim, 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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, 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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
2025-08-14T22:34:01.9524544Z 
2025-08-14T22:34:01.9524743Z Running test_transformers_privateuse1 1/1 ... [2025-08-14 22:34:01.928137]
2025-08-14T22:34:03.2454879Z -- The CXX compiler identification is GNU 11.4.0
2025-08-14T22:34:03.3217795Z -- The C compiler identification is GNU 11.4.0
2025-08-14T22:34:03.3389363Z -- Detecting CXX compiler ABI info
2025-08-14T22:34:03.4757657Z -- Detecting CXX compiler ABI info - done
2025-08-14T22:34:03.4912236Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped
2025-08-14T22:34:03.4915583Z -- Detecting CXX compile features
2025-08-14T22:34:03.4921234Z -- Detecting CXX compile features - done
2025-08-14T22:34:03.5043892Z -- Detecting C compiler ABI info
2025-08-14T22:34:03.5953710Z -- Detecting C compiler ABI info - done
2025-08-14T22:34:03.6104417Z -- Check for working C compiler: /opt/cache/bin/cc - skipped
2025-08-14T22:34:03.6108474Z -- Detecting C compile features
2025-08-14T22:34:03.6113361Z -- Detecting C compile features - done
2025-08-14T22:34:03.7005489Z -- Found CUDA: /usr/local/cuda (found version "12.8")
2025-08-14T22:34:04.4937619Z -- The CUDA compiler identification is NVIDIA 12.8.93 with host compiler GNU 11.4.0
2025-08-14T22:34:04.5034397Z -- Detecting CUDA compiler ABI info
2025-08-14T22:34:05.2294263Z -- Detecting CUDA compiler ABI info - done
2025-08-14T22:34:05.2776348Z -- Check for working CUDA compiler: /usr/local/cuda/bin/nvcc - skipped
2025-08-14T22:34:05.3336836Z -- Detecting CUDA compile features
2025-08-14T22:34:05.3341381Z -- Detecting CUDA compile features - done
2025-08-14T22:34:05.3426160Z -- Found CUDAToolkit: /usr/local/cuda/include (found version "12.8.93")
2025-08-14T22:34:05.3483595Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD
2025-08-14T22:34:05.4458245Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
2025-08-14T22:34:05.4467433Z -- Found Threads: TRUE
2025-08-14T22:34:05.4930533Z -- PyTorch: CUDA detected: 12.8
2025-08-14T22:34:05.4930881Z -- PyTorch: CUDA nvcc is: /usr/local/cuda/bin/nvcc
2025-08-14T22:34:05.4931263Z -- PyTorch: CUDA toolkit directory: /usr/local/cuda
2025-08-14T22:34:05.6344750Z -- PyTorch: Header version is: 12.8
2025-08-14T22:34:05.7512097Z -- Found Python: /opt/conda/envs/py_3.10/bin/python3.10 (found version "3.10.18") found components: Interpreter
2025-08-14T22:34:05.7529540Z CMake Warning at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/public/cuda.cmake:140 (message):
2025-08-14T22:34:05.7530252Z   Failed to compute shorthash for libnvrtc.so
2025-08-14T22:34:05.7530583Z Call Stack (most recent call first):
2025-08-14T22:34:05.7531139Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/Caffe2Config.cmake:86 (include)
2025-08-14T22:34:05.7531988Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:68 (find_package)
2025-08-14T22:34:05.7532721Z   CMakeLists.txt:27 (find_package)
2025-08-14T22:34:05.7532907Z 
2025-08-14T22:34:05.7533038Z 
2025-08-14T22:34:05.7533309Z -- USE_CUDNN is set to 0. Compiling without cuDNN support
2025-08-14T22:34:05.7533766Z -- USE_CUSPARSELT is set to 0. Compiling without cuSPARSELt support
2025-08-14T22:34:05.7534191Z -- USE_CUDSS is set to 0. Compiling without cuDSS support
2025-08-14T22:34:05.7534580Z -- USE_CUFILE is set to 0. Compiling without cuFile support
2025-08-14T22:34:05.7535399Z CMake Warning at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/public/cuda.cmake:317 (message):
2025-08-14T22:34:05.7536136Z   pytorch is not compatible with `CMAKE_CUDA_ARCHITECTURES` and will ignore
2025-08-14T22:34:05.7536602Z   its value.  Please configure `TORCH_CUDA_ARCH_LIST` instead.
2025-08-14T22:34:05.7536954Z Call Stack (most recent call first):
2025-08-14T22:34:05.7537506Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/Caffe2Config.cmake:86 (include)
2025-08-14T22:34:05.7538308Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:68 (find_package)
2025-08-14T22:34:05.7538755Z   CMakeLists.txt:27 (find_package)
2025-08-14T22:34:05.7538907Z 
2025-08-14T22:34:05.7538985Z 
2025-08-14T22:34:05.7539294Z -- Added CUDA NVCC flags for: -gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_52,code=sm_52
2025-08-14T22:34:05.8568810Z CMake Warning at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message):
2025-08-14T22:34:05.8569503Z   static library kineto_LIBRARY-NOTFOUND not found.
2025-08-14T22:34:05.8569841Z Call Stack (most recent call first):
2025-08-14T22:34:05.8570474Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:125 (append_torchlib_if_found)
2025-08-14T22:34:05.8571127Z   CMakeLists.txt:27 (find_package)
2025-08-14T22:34:05.8571306Z 
2025-08-14T22:34:05.8571409Z 
2025-08-14T22:34:05.8586334Z -- Found Torch: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch.so
2025-08-14T22:34:05.8611393Z -- Configuring done (2.7s)
2025-08-14T22:34:05.8752776Z -- Generating done (0.0s)
2025-08-14T22:34:05.8768413Z -- Build files have been written to: /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/torch_openreg/build
2025-08-14T22:34:05.9656381Z [  5%] Building CXX object third_party/openreg/CMakeFiles/openreg.dir/csrc/device.cpp.o
2025-08-14T22:34:05.9659257Z [ 11%] Building CXX object third_party/openreg/CMakeFiles/openreg.dir/csrc/memory.cpp.o
2025-08-14T22:34:06.0518305Z [ 17%] Linking CXX shared library libopenreg.so
2025-08-14T22:34:06.1082863Z [ 17%] Built target openreg
2025-08-14T22:34:06.1182674Z [ 23%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/OpenRegExtra.cpp.o
2025-08-14T22:34:06.1183498Z [ 35%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/OpenRegMinimal.cpp.o
2025-08-14T22:34:06.1184090Z [ 35%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/native/Extra.cpp.o
2025-08-14T22:34:06.1188980Z [ 41%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegDeviceAllocator.cpp.o
2025-08-14T22:34:06.1190170Z [ 47%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/native/Minimal.cpp.o
2025-08-14T22:34:06.1191268Z [ 52%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegFunctions.cpp.o
2025-08-14T22:34:06.1194978Z [ 58%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegGenerator.cpp.o
2025-08-14T22:34:06.1199082Z [ 64%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegGuard.cpp.o
2025-08-14T22:34:06.1203162Z [ 70%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegHooks.cpp.o
2025-08-14T22:34:06.1204340Z [ 76%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegHostAllocator.cpp.o
2025-08-14T22:34:06.1207279Z [ 82%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegSerialization.cpp.o
2025-08-14T22:34:06.8642587Z [ 88%] Linking CXX shared library libtorch_openreg.so
2025-08-14T22:34:07.2510015Z [ 88%] Built target torch_openreg
2025-08-14T22:34:07.2610260Z [ 94%] Building CXX object torch_openreg/csrc/CMakeFiles/torch_bindings.dir/Module.cpp.o
2025-08-14T22:34:07.9916289Z [100%] Linking CXX shared library libtorch_bindings.so
2025-08-14T22:34:08.1087802Z [100%] Built target torch_bindings
2025-08-14T22:34:08.1160889Z Install the project...
2025-08-14T22:34:08.1186903Z -- Install configuration: ""
2025-08-14T22:34:08.2087042Z /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
2025-08-14T22:34:08.2088333Z !!
2025-08-14T22:34:08.2088506Z 
2025-08-14T22:34:08.2088680Z         ********************************************************************************
2025-08-14T22:34:08.2089833Z         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).
2025-08-14T22:34:08.2090769Z 
2025-08-14T22:34:08.2091082Z         By 2026-Feb-18, you need to update your project and remove deprecated calls
2025-08-14T22:34:08.2091744Z         or your builds will no longer be supported.
2025-08-14T22:34:08.2092070Z 
2025-08-14T22:34:08.2092577Z         See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details.
2025-08-14T22:34:08.2093351Z         ********************************************************************************
2025-08-14T22:34:08.2093678Z 
2025-08-14T22:34:08.2093788Z !!
2025-08-14T22:34:08.2094084Z   corresp(dist, value, root_dir)
2025-08-14T22:34:08.2341894Z running install
2025-08-14T22:34:08.2343309Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-08-14T22:34:08.2344327Z !!
2025-08-14T22:34:08.2344473Z 
2025-08-14T22:34:08.2344648Z         ********************************************************************************
2025-08-14T22:34:08.2345116Z         Please avoid running ``setup.py`` directly.
2025-08-14T22:34:08.2346004Z         Instead, use pypa/build, pypa/installer or other
2025-08-14T22:34:08.2346466Z         standards-based tools.
2025-08-14T22:34:08.2346703Z 
2025-08-14T22:34:08.2346997Z         By 2025-Oct-31, you need to update your project and remove deprecated calls
2025-08-14T22:34:08.2347589Z         or your builds will no longer be supported.
2025-08-14T22:34:08.2347894Z 
2025-08-14T22:34:08.2348266Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-08-14T22:34:08.2348927Z         ********************************************************************************
2025-08-14T22:34:08.2349231Z 
2025-08-14T22:34:08.2349339Z !!
2025-08-14T22:34:08.2349606Z   self.initialize_options()
2025-08-14T22:34:08.2445926Z running build
2025-08-14T22:34:08.2446280Z running build_py
2025-08-14T22:34:08.2509093Z creating build/lib.linux-x86_64-cpython-310/torch_openreg
2025-08-14T22:34:08.2511173Z copying torch_openreg/__init__.py -> build/lib.linux-x86_64-cpython-310/torch_openreg
2025-08-14T22:34:08.2515619Z creating build/lib.linux-x86_64-cpython-310/torch_openreg/openreg
2025-08-14T22:34:08.2516521Z copying torch_openreg/openreg/__init__.py -> build/lib.linux-x86_64-cpython-310/torch_openreg/openreg
2025-08-14T22:34:08.2518505Z copying torch_openreg/openreg/random.py -> build/lib.linux-x86_64-cpython-310/torch_openreg/openreg
2025-08-14T22:34:08.2524184Z creating build/lib.linux-x86_64-cpython-310/torch_openreg/lib
2025-08-14T22:34:08.2525290Z copying torch_openreg/lib/libopenreg.so -> build/lib.linux-x86_64-cpython-310/torch_openreg/lib
2025-08-14T22:34:08.2534425Z copying torch_openreg/lib/libtorch_openreg.so -> build/lib.linux-x86_64-cpython-310/torch_openreg/lib
2025-08-14T22:34:08.2611351Z copying torch_openreg/lib/libtorch_bindings.so -> build/lib.linux-x86_64-cpython-310/torch_openreg/lib
2025-08-14T22:34:08.2635728Z running build_ext
2025-08-14T22:34:08.2707443Z building 'torch_openreg._C' extension
2025-08-14T22:34:08.2708424Z creating build/temp.linux-x86_64-cpython-310/torch_openreg/csrc
2025-08-14T22:34:08.2712256Z 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 -g -Wall -Werror
2025-08-14T22:34:08.3581954Z 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
2025-08-14T22:34:08.3829581Z running install_lib
2025-08-14T22:34:08.3902881Z creating install/opt/conda/envs/py_3.10/lib/python3.10/site-packages
2025-08-14T22:34:08.3906578Z creating install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_openreg
2025-08-14T22:34:08.3907974Z 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
2025-08-14T22:34:08.3910129Z creating install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_openreg/openreg
2025-08-14T22:34:08.3911103Z 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
2025-08-14T22:34:08.3912917Z 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
2025-08-14T22:34:08.3914938Z creating install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_openreg/lib
2025-08-14T22:34:08.3916278Z 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
2025-08-14T22:34:08.3918284Z 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
2025-08-14T22:34:08.3944772Z 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
2025-08-14T22:34:08.3953052Z 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
2025-08-14T22:34:08.3958888Z byte-compiling ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_openreg/__init__.py to __init__.cpython-310.pyc
2025-08-14T22:34:08.3961716Z byte-compiling ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_openreg/openreg/__init__.py to __init__.cpython-310.pyc
2025-08-14T22:34:08.3966521Z byte-compiling ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_openreg/openreg/random.py to random.cpython-310.pyc
2025-08-14T22:34:08.3970827Z running install_egg_info
2025-08-14T22:34:08.4096020Z running egg_info
2025-08-14T22:34:08.4156879Z creating torch_openreg.egg-info
2025-08-14T22:34:08.4158216Z writing torch_openreg.egg-info/PKG-INFO
2025-08-14T22:34:08.4162369Z writing dependency_links to torch_openreg.egg-info/dependency_links.txt
2025-08-14T22:34:08.4164712Z writing requirements to torch_openreg.egg-info/requires.txt
2025-08-14T22:34:08.4165778Z writing top-level names to torch_openreg.egg-info/top_level.txt
2025-08-14T22:34:08.4167094Z writing manifest file 'torch_openreg.egg-info/SOURCES.txt'
2025-08-14T22:34:08.4236981Z reading manifest file 'torch_openreg.egg-info/SOURCES.txt'
2025-08-14T22:34:08.4245140Z writing manifest file 'torch_openreg.egg-info/SOURCES.txt'
2025-08-14T22:34:08.4246422Z 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
2025-08-14T22:34:08.4253845Z running install_scripts
2025-08-14T22:34:08.6859794Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T22:34:08.6863221Z 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'] ... [2025-08-14 22:34:08.686067]
2025-08-14T22:34:12.3070298Z 
2025-08-14T22:34:12.3071722Z test_transformers_privateuse1 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_transformers_privateuse1_1.1_584fa7a264232ddf_.log
2025-08-14T22:34:12.3073359Z 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
2025-08-14T22:34:12.3074761Z 
2025-08-14T22:34:12.3074944Z Running test_extension_utils 1/1 ... [2025-08-14 22:34:12.307295]
2025-08-14T22:34:12.3075251Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T22:34:12.3078746Z 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'] ... [2025-08-14 22:34:12.307658]
2025-08-14T22:34:15.8283338Z 
2025-08-14T22:34:15.8284323Z test_extension_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_extension_utils_1.1_795b98b8065c66b9_.log
2025-08-14T22:34:15.8286326Z 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
2025-08-14T22:34:15.8287179Z 
2025-08-14T22:34:15.8287333Z Running test_fx 1/1 ... [2025-08-14 22:34:15.828490]
2025-08-14T22:34:15.8287661Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T22:34:15.8291158Z 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'] ... [2025-08-14 22:34:15.828870]
2025-08-14T22:37:29.1517237Z 
2025-08-14T22:37:29.1518010Z test_fx 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_1.1_4d59ba86d2c1ffcd_.log
2025-08-14T22:37:29.1848350Z Running 1268 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, 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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, 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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_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
2025-08-14T22:37:29.2162495Z 
2025-08-14T22:37:29.2162652Z Running test_fake_tensor 1/1 ... [2025-08-14 22:37:29.153456]
2025-08-14T22:37:29.2162945Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T22:37:29.2163674Z 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'] ... [2025-08-14 22:37:29.153798]
2025-08-14T22:37:53.4082438Z 
2025-08-14T22:37:53.4083712Z test_fake_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fake_tensor_1.1_fce7f5d299d7b8aa_.log
2025-08-14T22:37:53.4158561Z 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
2025-08-14T22:37:53.4230142Z 
2025-08-14T22:37:53.4230279Z Running test_openreg 1/1 ... [2025-08-14 22:37:53.408842]
2025-08-14T22:37:54.7355911Z -- The CXX compiler identification is GNU 11.4.0
2025-08-14T22:37:54.7954379Z -- The C compiler identification is GNU 11.4.0
2025-08-14T22:37:54.8126527Z -- Detecting CXX compiler ABI info
2025-08-14T22:37:54.9318548Z -- Detecting CXX compiler ABI info - done
2025-08-14T22:37:54.9467921Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped
2025-08-14T22:37:54.9472158Z -- Detecting CXX compile features
2025-08-14T22:37:54.9477880Z -- Detecting CXX compile features - done
2025-08-14T22:37:54.9585525Z -- Detecting C compiler ABI info
2025-08-14T22:37:55.0526315Z -- Detecting C compiler ABI info - done
2025-08-14T22:37:55.0672834Z -- Check for working C compiler: /opt/cache/bin/cc - skipped
2025-08-14T22:37:55.0675896Z -- Detecting C compile features
2025-08-14T22:37:55.0679928Z -- Detecting C compile features - done
2025-08-14T22:37:55.1441308Z -- Found CUDA: /usr/local/cuda (found version "12.8")
2025-08-14T22:37:55.9325303Z -- The CUDA compiler identification is NVIDIA 12.8.93 with host compiler GNU 11.4.0
2025-08-14T22:37:55.9415894Z -- Detecting CUDA compiler ABI info
2025-08-14T22:37:56.6688300Z -- Detecting CUDA compiler ABI info - done
2025-08-14T22:37:56.7171464Z -- Check for working CUDA compiler: /usr/local/cuda/bin/nvcc - skipped
2025-08-14T22:37:56.7737380Z -- Detecting CUDA compile features
2025-08-14T22:37:56.7741263Z -- Detecting CUDA compile features - done
2025-08-14T22:37:56.7825943Z -- Found CUDAToolkit: /usr/local/cuda/include (found version "12.8.93")
2025-08-14T22:37:56.7877266Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD
2025-08-14T22:37:56.9066174Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
2025-08-14T22:37:56.9075046Z -- Found Threads: TRUE
2025-08-14T22:37:56.9531438Z -- PyTorch: CUDA detected: 12.8
2025-08-14T22:37:56.9531852Z -- PyTorch: CUDA nvcc is: /usr/local/cuda/bin/nvcc
2025-08-14T22:37:56.9532298Z -- PyTorch: CUDA toolkit directory: /usr/local/cuda
2025-08-14T22:37:57.0715932Z -- PyTorch: Header version is: 12.8
2025-08-14T22:37:57.1882746Z -- Found Python: /opt/conda/envs/py_3.10/bin/python3.10 (found version "3.10.18") found components: Interpreter
2025-08-14T22:37:57.1898381Z CMake Warning at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/public/cuda.cmake:140 (message):
2025-08-14T22:37:57.1899004Z   Failed to compute shorthash for libnvrtc.so
2025-08-14T22:37:57.1899359Z Call Stack (most recent call first):
2025-08-14T22:37:57.1899811Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/Caffe2Config.cmake:86 (include)
2025-08-14T22:37:57.1900476Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:68 (find_package)
2025-08-14T22:37:57.1900948Z   CMakeLists.txt:27 (find_package)
2025-08-14T22:37:57.1901163Z 
2025-08-14T22:37:57.1901300Z 
2025-08-14T22:37:57.1901512Z -- USE_CUDNN is set to 0. Compiling without cuDNN support
2025-08-14T22:37:57.1901853Z -- USE_CUSPARSELT is set to 0. Compiling without cuSPARSELt support
2025-08-14T22:37:57.1902393Z -- USE_CUDSS is set to 0. Compiling without cuDSS support
2025-08-14T22:37:57.1902722Z -- USE_CUFILE is set to 0. Compiling without cuFile support
2025-08-14T22:37:57.1903795Z CMake Warning at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/public/cuda.cmake:317 (message):
2025-08-14T22:37:57.1904498Z   pytorch is not compatible with `CMAKE_CUDA_ARCHITECTURES` and will ignore
2025-08-14T22:37:57.1904982Z   its value.  Please configure `TORCH_CUDA_ARCH_LIST` instead.
2025-08-14T22:37:57.1905283Z Call Stack (most recent call first):
2025-08-14T22:37:57.1905824Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/Caffe2Config.cmake:86 (include)
2025-08-14T22:37:57.1906561Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:68 (find_package)
2025-08-14T22:37:57.1907035Z   CMakeLists.txt:27 (find_package)
2025-08-14T22:37:57.1907182Z 
2025-08-14T22:37:57.1907315Z 
2025-08-14T22:37:57.1907866Z -- Added CUDA NVCC flags for: -gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_52,code=sm_52
2025-08-14T22:37:57.2932026Z CMake Warning at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message):
2025-08-14T22:37:57.2932779Z   static library kineto_LIBRARY-NOTFOUND not found.
2025-08-14T22:37:57.2933124Z Call Stack (most recent call first):
2025-08-14T22:37:57.2933758Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:125 (append_torchlib_if_found)
2025-08-14T22:37:57.2934423Z   CMakeLists.txt:27 (find_package)
2025-08-14T22:37:57.2934610Z 
2025-08-14T22:37:57.2934721Z 
2025-08-14T22:37:57.2949543Z -- Found Torch: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch.so
2025-08-14T22:37:57.2974680Z -- Configuring done (2.6s)
2025-08-14T22:37:57.3150306Z -- Generating done (0.0s)
2025-08-14T22:37:57.3164943Z -- Build files have been written to: /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/torch_openreg/build
2025-08-14T22:37:57.4055484Z [  5%] Building CXX object third_party/openreg/CMakeFiles/openreg.dir/csrc/device.cpp.o
2025-08-14T22:37:57.4056301Z [ 11%] Building CXX object third_party/openreg/CMakeFiles/openreg.dir/csrc/memory.cpp.o
2025-08-14T22:37:57.4896580Z [ 17%] Linking CXX shared library libopenreg.so
2025-08-14T22:37:57.5476093Z [ 17%] Built target openreg
2025-08-14T22:37:57.5575806Z [ 29%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/OpenRegMinimal.cpp.o
2025-08-14T22:37:57.5576994Z [ 29%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/OpenRegExtra.cpp.o
2025-08-14T22:37:57.5578398Z [ 35%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/native/Extra.cpp.o
2025-08-14T22:37:57.5582924Z [ 41%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/native/Minimal.cpp.o
2025-08-14T22:37:57.5583686Z [ 47%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegDeviceAllocator.cpp.o
2025-08-14T22:37:57.5588392Z [ 58%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegGenerator.cpp.o
2025-08-14T22:37:57.5589564Z [ 58%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegFunctions.cpp.o
2025-08-14T22:37:57.5592055Z [ 64%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegGuard.cpp.o
2025-08-14T22:37:57.5596437Z [ 70%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegHooks.cpp.o
2025-08-14T22:37:57.5598572Z [ 76%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegHostAllocator.cpp.o
2025-08-14T22:37:57.5602610Z [ 82%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegSerialization.cpp.o
2025-08-14T22:37:58.3376919Z [ 88%] Linking CXX shared library libtorch_openreg.so
2025-08-14T22:37:58.7185249Z [ 88%] Built target torch_openreg
2025-08-14T22:37:58.7276067Z [ 94%] Building CXX object torch_openreg/csrc/CMakeFiles/torch_bindings.dir/Module.cpp.o
2025-08-14T22:37:59.4932661Z [100%] Linking CXX shared library libtorch_bindings.so
2025-08-14T22:37:59.6113191Z [100%] Built target torch_bindings
2025-08-14T22:37:59.6184254Z Install the project...
2025-08-14T22:37:59.6210620Z -- Install configuration: ""
2025-08-14T22:37:59.7042357Z /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
2025-08-14T22:37:59.7043266Z !!
2025-08-14T22:37:59.7043376Z 
2025-08-14T22:37:59.7043526Z         ********************************************************************************
2025-08-14T22:37:59.7044302Z         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).
2025-08-14T22:37:59.7044938Z 
2025-08-14T22:37:59.7045486Z         By 2026-Feb-18, you need to update your project and remove deprecated calls
2025-08-14T22:37:59.7045949Z         or your builds will no longer be supported.
2025-08-14T22:37:59.7046194Z 
2025-08-14T22:37:59.7046549Z         See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details.
2025-08-14T22:37:59.7047086Z         ********************************************************************************
2025-08-14T22:37:59.7047302Z 
2025-08-14T22:37:59.7047393Z !!
2025-08-14T22:37:59.7047598Z   corresp(dist, value, root_dir)
2025-08-14T22:37:59.7293047Z running install
2025-08-14T22:37:59.7294572Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-08-14T22:37:59.7295288Z !!
2025-08-14T22:37:59.7295397Z 
2025-08-14T22:37:59.7295511Z         ********************************************************************************
2025-08-14T22:37:59.7295853Z         Please avoid running ``setup.py`` directly.
2025-08-14T22:37:59.7296235Z         Instead, use pypa/build, pypa/installer or other
2025-08-14T22:37:59.7296569Z         standards-based tools.
2025-08-14T22:37:59.7296746Z 
2025-08-14T22:37:59.7296947Z         By 2025-Oct-31, you need to update your project and remove deprecated calls
2025-08-14T22:37:59.7297369Z         or your builds will no longer be supported.
2025-08-14T22:37:59.7297573Z 
2025-08-14T22:37:59.7297852Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-08-14T22:37:59.7298318Z         ********************************************************************************
2025-08-14T22:37:59.7298527Z 
2025-08-14T22:37:59.7298605Z !!
2025-08-14T22:37:59.7298799Z   self.initialize_options()
2025-08-14T22:37:59.7395083Z running build
2025-08-14T22:37:59.7395315Z running build_py
2025-08-14T22:37:59.7459722Z creating build/lib.linux-x86_64-cpython-310/torch_openreg
2025-08-14T22:37:59.7461477Z copying torch_openreg/__init__.py -> build/lib.linux-x86_64-cpython-310/torch_openreg
2025-08-14T22:37:59.7463776Z creating build/lib.linux-x86_64-cpython-310/torch_openreg/openreg
2025-08-14T22:37:59.7464892Z copying torch_openreg/openreg/__init__.py -> build/lib.linux-x86_64-cpython-310/torch_openreg/openreg
2025-08-14T22:37:59.7466626Z copying torch_openreg/openreg/random.py -> build/lib.linux-x86_64-cpython-310/torch_openreg/openreg
2025-08-14T22:37:59.7472370Z creating build/lib.linux-x86_64-cpython-310/torch_openreg/lib
2025-08-14T22:37:59.7473469Z copying torch_openreg/lib/libopenreg.so -> build/lib.linux-x86_64-cpython-310/torch_openreg/lib
2025-08-14T22:37:59.7483025Z copying torch_openreg/lib/libtorch_openreg.so -> build/lib.linux-x86_64-cpython-310/torch_openreg/lib
2025-08-14T22:37:59.7552336Z copying torch_openreg/lib/libtorch_bindings.so -> build/lib.linux-x86_64-cpython-310/torch_openreg/lib
2025-08-14T22:37:59.7577359Z running build_ext
2025-08-14T22:37:59.7649335Z building 'torch_openreg._C' extension
2025-08-14T22:37:59.7650461Z creating build/temp.linux-x86_64-cpython-310/torch_openreg/csrc
2025-08-14T22:37:59.7653642Z 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 -g -Wall -Werror
2025-08-14T22:37:59.8461452Z 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
2025-08-14T22:37:59.8708624Z running install_lib
2025-08-14T22:37:59.8784678Z 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
2025-08-14T22:37:59.8787378Z 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
2025-08-14T22:37:59.8819373Z 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
2025-08-14T22:37:59.8830413Z 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
2025-08-14T22:37:59.8835639Z running install_egg_info
2025-08-14T22:37:59.8959890Z running egg_info
2025-08-14T22:37:59.9021808Z writing torch_openreg.egg-info/PKG-INFO
2025-08-14T22:37:59.9025953Z writing dependency_links to torch_openreg.egg-info/dependency_links.txt
2025-08-14T22:37:59.9028349Z writing requirements to torch_openreg.egg-info/requires.txt
2025-08-14T22:37:59.9029564Z writing top-level names to torch_openreg.egg-info/top_level.txt
2025-08-14T22:37:59.9098402Z reading manifest file 'torch_openreg.egg-info/SOURCES.txt'
2025-08-14T22:37:59.9108258Z writing manifest file 'torch_openreg.egg-info/SOURCES.txt'
2025-08-14T22:37:59.9109989Z 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)
2025-08-14T22:37:59.9112310Z 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
2025-08-14T22:37:59.9121272Z running install_scripts
2025-08-14T22:38:00.1755783Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T22:38:00.1759183Z 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'] ... [2025-08-14 22:38:00.175669]
2025-08-14T22:38:04.8487921Z 
2025-08-14T22:38:04.8488824Z test_openreg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_openreg_1.1_c44f554d7e574029_.log
2025-08-14T22:38:04.8498343Z 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
2025-08-14T22:38:04.8506031Z 
2025-08-14T22:38:04.8506176Z Running test_show_pickle 1/1 ... [2025-08-14 22:38:04.848969]
2025-08-14T22:38:04.8506457Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T22:38:04.8507178Z 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'] ... [2025-08-14 22:38:04.849357]
2025-08-14T22:38:08.3701181Z 
2025-08-14T22:38:08.3701964Z test_show_pickle 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_show_pickle_1.1_4a2097fb89240793_.log
2025-08-14T22:38:08.3702856Z Running 1 items in this shard: test/test_show_pickle.py::TestShowPickle::test_scripted_model
2025-08-14T22:38:08.3703242Z 
2025-08-14T22:38:08.3705801Z Running test_tensorexpr 1/1 ... [2025-08-14 22:38:08.370363]
2025-08-14T22:38:08.3706206Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T22:38:08.3709874Z 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'] ... [2025-08-14 22:38:08.370783]
2025-08-14T22:38:37.0809480Z 
2025-08-14T22:38:37.0810461Z test_tensorexpr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorexpr_1.1_359cadb6fc95c5d2_.log
2025-08-14T22:38:37.0829393Z 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
2025-08-14T22:38:37.0843243Z 
2025-08-14T22:38:37.0843379Z Running test_torch 1/1 ... [2025-08-14 22:38:37.081295]
2025-08-14T22:38:37.0843659Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T22:38:37.0844373Z 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'] ... [2025-08-14 22:38:37.081746]
2025-08-14T22:40:15.4298138Z 
2025-08-14T22:40:15.4299026Z test_torch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_torch_1.1_3135dda96590ebc5_.log
2025-08-14T22:40:15.4531161Z Running 1068 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, test/test_torch.py::TestTorch::test_storage_dead_weak_ref, test/test_torch.py::TestTorch::test_storage_dealloc, test/test_torch.py::TestTorch::test_storage_dealloc_resurrected, test/test_torch.py::TestTorch::test_storage_dealloc_subclass_resurrected, test/test_torch.py::TestTorch::test_storage_dealloc_subclass_zombie, test/test_torch.py::TestTorch::test_storage_dict_dealloc, test/test_torch.py::TestTorch::test_storage_error, test/test_torch.py::TestTorch::test_storage_error_no_attribute, test/test_torch.py::TestTorch::test_storage_finalizer_dealloc, test/test_torch.py::TestTorch::test_storage_fix_weakref_no_leak, test/test_torch.py::TestTorch::test_storage_from_tensor_dealloc, test/test_torch.py::TestTorch::test_storage_from_tensor_dealloc_resurrected, test/test_torch.py::TestTorch::test_storage_from_tensor_dealloc_zombie, test/test_torch.py::TestTorch::test_storage_preserve_nonhermetic_in_hermetic_context, test/test_torch.py::TestTorch::test_storage_resurrected_weak_ref, test/test_torch.py::TestTorch::test_storage_slot_dealloc, test/test_torch.py::TestTorch::test_storage_weakref_dealloc, test/test_torch.py::TestTorch::test_structseq_repr, test/test_torch.py::TestTorch::test_subclass_preserved, test/test_torch.py::TestTorch::test_subclass_tensors, test/test_torch.py::TestTorch::test_sum_neg_dim, test/test_torch.py::TestTorch::test_swap_basic, test/test_torch.py::TestTorch::test_swap_fail_slots, test/test_torch.py::TestTorch::test_t_not_2d_error, test/test_torch.py::TestTorch::test_tensor_base_init, test/test_torch.py::TestTorch::test_tensor_base_new, test/test_torch.py::TestTorch::test_tensor_ctor_scalar, test/test_torch.py::TestTorch::test_tensor_cycle_via_dict, test/test_torch.py::TestTorch::test_tensor_cycle_via_slots, test/test_torch.py::TestTorch::test_tensor_dead_weak_ref, test/test_torch.py::TestTorch::test_tensor_dict_dealloc, test/test_torch.py::TestTorch::test_tensor_finalizer_dealloc, 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test/test_torch.py::TestTorchDeviceTypeCUDA::test_lazy_clone_view_materialize_cuda_float16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_lazy_clone_view_materialize_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_lazy_clone_view_materialize_cuda_float64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_lazy_clone_view_materialize_cuda_int16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_lazy_clone_view_materialize_cuda_int32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_lazy_clone_view_materialize_cuda_int64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_lazy_clone_view_materialize_cuda_int8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_lazy_clone_view_materialize_cuda_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_log_normal_cuda_bfloat16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_log_normal_cuda_float16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_log_normal_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_log_normal_cuda_float64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_logcumsumexp_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_lognormal_kstest_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_bool_tensor_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_bfloat16_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_bfloat16_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_bool_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_bool_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_complex128_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_complex128_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_complex64_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_complex64_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_float16_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_float16_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_float32_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_float32_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_float64_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_float64_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_int16_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_int16_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_int32_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_int32_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_int64_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_int64_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_int8_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_int8_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_uint8_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_uint8_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_mem_overlap_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_scatter_bool_tensor_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_scatter_cuda_bfloat16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_scatter_cuda_complex128, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_scatter_cuda_complex64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_scatter_cuda_float16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_scatter_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_scatter_cuda_float64, 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test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_alert_grid_sample_3d_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_alert_histc_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_alert_histc_cuda_int32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_alert_interpolate_bicubic_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_alert_interpolate_bilinear_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_alert_interpolate_linear_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_alert_interpolate_trilinear_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_alert_kthvalue_cuda_float64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_alert_median_cuda_float64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_alert_put_accumulate_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_alert_put_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_resize_quantized_cuda_qint32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_resize_quantized_cuda_qint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_resize_quantized_cuda_quint2x4, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_resize_quantized_cuda_quint4x2, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_resize_quantized_cuda_quint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_normal_kstest_cuda_bfloat16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_normal_kstest_cuda_float16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_normal_kstest_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_normal_kstest_cuda_float64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nullary_op_mem_overlap_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_pairwise_distance_empty_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_parallel_cow_materialize_error_cuda_bfloat16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_parallel_cow_materialize_error_cuda_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_parallel_cow_materialize_error_cuda_complex128, test/test_torch.py::TestTorchDeviceTypeCUDA::test_parallel_cow_materialize_error_cuda_complex64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_parallel_cow_materialize_error_cuda_float16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_parallel_cow_materialize_error_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_parallel_cow_materialize_error_cuda_float64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_parallel_cow_materialize_error_cuda_int16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_parallel_cow_materialize_error_cuda_int32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_parallel_cow_materialize_error_cuda_int64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_parallel_cow_materialize_error_cuda_int8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_parallel_cow_materialize_error_cuda_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_params_invalidated_with_grads_invalidated_and_graph_partition_AdamW_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_params_invalidated_with_grads_invalidated_and_graph_partition_Adam_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_params_invalidated_with_grads_invalidated_and_graph_partition_SGD_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_params_invalidated_with_grads_invalidated_between_unscale_and_step_AdamW_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_params_invalidated_with_grads_invalidated_between_unscale_and_step_Adam_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_params_invalidated_with_grads_invalidated_between_unscale_and_step_SGD_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_pdist_empty_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_pdist_norm_large_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_pickle_gradscaler_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_pin_memory_from_constructor_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_put_accumulate_cuda_bfloat16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_put_accumulate_cuda_complex128, test/test_torch.py::TestTorchDeviceTypeCUDA::test_put_accumulate_cuda_complex64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_put_accumulate_cuda_float16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_put_accumulate_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_put_accumulate_cuda_float64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_put_accumulate_cuda_int16, 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test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_operations_to_large_input_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_operations_to_large_input_cuda_float64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_operations_to_large_input_cuda_int16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_operations_to_large_input_cuda_int32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_operations_to_large_input_cuda_int64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_operations_to_large_input_cuda_int8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_operations_to_large_input_cuda_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_scalar_cuda_bfloat16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_scalar_cuda_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_scalar_cuda_complex128, 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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
2025-08-14T22:40:15.4752850Z 
2025-08-14T22:40:15.4752989Z Running test_utils 1/1 ... [2025-08-14 22:40:15.431339]
2025-08-14T22:40:15.4753272Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T22:40:15.4753991Z 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'] ... [2025-08-14 22:40:15.431723]
2025-08-14T22:40:52.0061999Z 
2025-08-14T22:40:52.0062782Z test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_1.1_a45110838d6ad78a_.log
2025-08-14T22:40:52.1531738Z Running 6010 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, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_add_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addbmm_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addbmm_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addbmm_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addbmm_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addbmm_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addbmm_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcdiv_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcdiv_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcdiv_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcdiv_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcdiv_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcdiv_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcmul_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcmul_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcmul_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcmul_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcmul_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcmul_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcmul_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcmul_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcmul_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcmul_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcmul_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmm_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmm_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmm_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmm_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmm_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmm_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmm_decomposed_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmm_decomposed_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmm_decomposed_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmm_decomposed_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmm_decomposed_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmm_decomposed_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmv_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmv_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmv_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmv_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmv_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmv_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addr_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addr_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addr_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addr_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addr_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addr_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addr_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addr_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addr_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addr_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addr_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addr_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_alias_copy_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_alias_copy_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_alias_copy_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_alias_copy_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_alias_copy_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_alias_copy_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_alias_copy_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_alias_copy_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_alias_copy_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_alias_copy_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_alias_copy_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_alias_copy_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_alias_copy_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_all_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_all_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_all_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_all_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_all_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_all_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_all_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_all_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_all_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_all_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_all_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_all_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_allclose_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_allclose_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_allclose_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_allclose_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_allclose_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_allclose_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amax_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amax_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amax_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amax_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amax_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amax_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amax_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amax_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amax_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amax_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amin_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amin_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amin_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amin_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amin_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amin_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amin_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amin_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amin_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amin_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_aminmax_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_aminmax_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_aminmax_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_aminmax_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_aminmax_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_aminmax_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_aminmax_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_aminmax_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_aminmax_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_aminmax_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_angle_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_angle_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_angle_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_angle_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_angle_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_angle_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_angle_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_angle_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_angle_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_angle_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_angle_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_any_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_any_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_any_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_any_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_any_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_any_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_any_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_any_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_any_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_any_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_any_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_any_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_arange_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_arange_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_arange_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_arange_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_arange_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_arange_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_arange_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_arange_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_arange_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmax_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmax_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmax_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmax_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmax_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmax_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmax_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmax_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmax_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmin_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmin_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmin_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmin_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmin_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmin_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmin_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmin_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmin_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argsort_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argsort_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argsort_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argsort_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argsort_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argsort_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argsort_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argsort_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argsort_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argsort_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argwhere_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argwhere_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argwhere_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argwhere_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argwhere_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argwhere_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argwhere_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argwhere_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argwhere_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argwhere_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argwhere_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argwhere_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_copy_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_copy_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_copy_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_copy_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_copy_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_copy_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_copy_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_copy_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_copy_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_copy_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_copy_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_copy_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_copy_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_cuda_float32, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_partial_views_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_partial_views_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_partial_views_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_partial_views_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_partial_views_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_partial_views_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_partial_views_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_partial_views_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_partial_views_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_scatter_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_scatter_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_scatter_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_scatter_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_scatter_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_scatter_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_scatter_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_scatter_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_scatter_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_scatter_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_scatter_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_scatter_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_scatter_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_asin_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_asin_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_asin_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_asin_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_asin_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_asin_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_asin_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_asin_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_asin_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_asin_cuda_int32, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bincount_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bincount_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bincount_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bincount_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bincount_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_and_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_and_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_and_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_and_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_and_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_and_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_left_shift_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_left_shift_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_left_shift_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_left_shift_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_left_shift_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_not_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_not_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_not_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_not_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_not_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_not_cuda_uint8, 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, 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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, 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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, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_clamp_max_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_clamp_max_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_clamp_min_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_clamp_min_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_clamp_min_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_clamp_min_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_clamp_min_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_clamp_min_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_clamp_min_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_clamp_min_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_clamp_min_cuda_int8, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cumulative_trapezoid_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cumulative_trapezoid_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cumulative_trapezoid_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cumulative_trapezoid_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cumulative_trapezoid_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cumulative_trapezoid_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cumulative_trapezoid_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cumulative_trapezoid_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cumulative_trapezoid_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cumulative_trapezoid_cuda_int8, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifft_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifft_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifft_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifft_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifft_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifftn_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifftn_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifftn_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifftn_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifftn_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifftn_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifftn_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifftn_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifftn_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifftn_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifftn_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifftn_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifftshift_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifftshift_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifftshift_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifftshift_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifftshift_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifftshift_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifftshift_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifftshift_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifftshift_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifftshift_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifftshift_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifftshift_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ifftshift_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ihfft2_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ihfft2_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_ihfft2_cuda_float32, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_irfft2_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_irfft2_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_irfft2_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_irfft_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_irfft_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_irfft_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_irfft_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_irfft_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_irfft_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_irfft_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_irfft_cuda_int16, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft2_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft2_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft2_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfftn_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfftn_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfftn_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfftn_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfftn_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfftn_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfftn_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfftn_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfftn_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fill_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fill_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fill_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fill_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fill_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fill_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fill_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fill_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fill_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fill_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fill_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fill_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fill_cuda_uint8, 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, 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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, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_like_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_like_cuda_uint16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_like_cuda_uint32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_like_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gather_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gather_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gather_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gather_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gather_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gather_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gather_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gather_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gather_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gather_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gather_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gather_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gcd_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gcd_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gcd_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gcd_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gcd_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ge_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ge_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ge_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ge_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ge_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ge_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ge_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ge_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ge_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ge_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_geometric_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_geometric_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_geometric_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_geometric_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_geometric_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_geometric_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_geometric_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_geometric_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_geometric_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_geqrf_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_geqrf_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_geqrf_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_geqrf_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gradient_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gradient_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gradient_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gradient_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gradient_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gradient_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gradient_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gradient_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gradient_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gradient_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_grid_sampler_2d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_grid_sampler_2d_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_grid_sampler_2d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_grid_sampler_2d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gt_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gt_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gt_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gt_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gt_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gt_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gt_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gt_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gt_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gt_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_half_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_half_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_half_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_half_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_half_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_half_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_half_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_half_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_half_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_half_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_half_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_half_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hash_tensor_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hash_tensor_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hash_tensor_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hash_tensor_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hash_tensor_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hash_tensor_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hash_tensor_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hash_tensor_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hash_tensor_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hash_tensor_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_heaviside_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_heaviside_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_heaviside_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_heaviside_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_heaviside_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_heaviside_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_heaviside_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_heaviside_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_heaviside_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_heaviside_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_histc_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_histc_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_histc_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_histc_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_histc_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_histc_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_histc_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hsplit_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hsplit_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hsplit_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hsplit_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hsplit_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hsplit_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hsplit_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hsplit_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hsplit_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hsplit_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hsplit_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hsplit_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hsplit_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hstack_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hstack_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hstack_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hstack_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hstack_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hstack_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hstack_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hstack_cuda_float64, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_ldl_factor_ex_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_ldl_factor_ex_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_ldl_solve_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_ldl_solve_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_ldl_solve_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_ldl_solve_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lstsq_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lstsq_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lstsq_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lstsq_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lstsq_grad_oriented_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lstsq_grad_oriented_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lstsq_grad_oriented_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lstsq_grad_oriented_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_factor_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_factor_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_factor_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_factor_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_factor_ex_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_factor_ex_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_factor_ex_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_factor_ex_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_solve_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_solve_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_solve_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_solve_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_norm_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_norm_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_norm_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_norm_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_norm_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_norm_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_power_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_power_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_power_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_power_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_rank_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_rank_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_rank_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_rank_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_rank_hermitian_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_rank_hermitian_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_rank_hermitian_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_rank_hermitian_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_multi_dot_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_multi_dot_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_multi_dot_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_multi_dot_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_multi_dot_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_multi_dot_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_norm_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_norm_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_norm_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_norm_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_norm_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_norm_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_norm_subgradients_at_zero_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_norm_subgradients_at_zero_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_norm_subgradients_at_zero_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_norm_subgradients_at_zero_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_norm_subgradients_at_zero_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_norm_subgradients_at_zero_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_pinv_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_pinv_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_pinv_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_pinv_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_pinv_hermitian_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_pinv_hermitian_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_pinv_hermitian_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_pinv_hermitian_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_pinv_singular_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_pinv_singular_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_pinv_singular_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_pinv_singular_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_qr_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_qr_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_qr_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_qr_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_slogdet_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_slogdet_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_slogdet_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_slogdet_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_solve_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_solve_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_solve_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_solve_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_solve_ex_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_solve_ex_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_solve_ex_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_solve_ex_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_solve_triangular_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_solve_triangular_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_solve_triangular_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_solve_triangular_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_svd_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_svd_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_svd_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_svd_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_svdvals_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_svdvals_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_svdvals_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_svdvals_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_tensorinv_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_tensorinv_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_tensorinv_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_tensorinv_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_tensorsolve_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_tensorsolve_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_tensorsolve_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_tensorsolve_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vander_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vander_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vander_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vander_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vander_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vander_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vander_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vander_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vander_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vecdot_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vecdot_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vecdot_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vecdot_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vecdot_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vecdot_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vector_norm_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vector_norm_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vector_norm_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vector_norm_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vector_norm_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vector_norm_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_tensor_overload_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_tensor_overload_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_tensor_overload_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_tensor_overload_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_tensor_overload_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_tensor_overload_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_tensor_overload_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_tensor_overload_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_tensor_overload_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_tensor_overload_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_tensor_overload_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log10_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log10_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log10_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log10_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log10_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log10_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log10_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log10_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log10_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log10_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log10_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log10_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log1p_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log1p_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log1p_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log1p_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log1p_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log1p_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log1p_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log1p_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log1p_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log1p_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log1p_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log1p_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log2_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log2_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log2_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log2_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log2_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log2_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log2_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log2_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log2_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log2_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log2_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log2_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log_normal_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log_normal_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log_normal_cuda_float32, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log_softmax_with_dtype_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log_softmax_with_dtype_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log_softmax_with_dtype_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log_softmax_with_dtype_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log_softmax_with_dtype_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log_softmax_with_dtype_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log_softmax_with_dtype_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log_softmax_with_dtype_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_logaddexp2_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_logaddexp2_cuda_float16, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_meshgrid_list_of_tensors_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_meshgrid_list_of_tensors_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_meshgrid_list_of_tensors_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_meshgrid_list_of_tensors_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_meshgrid_list_of_tensors_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_meshgrid_list_of_tensors_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_meshgrid_list_of_tensors_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_meshgrid_list_of_tensors_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_meshgrid_list_of_tensors_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_meshgrid_list_of_tensors_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_meshgrid_list_of_tensors_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_meshgrid_variadic_tensors_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_meshgrid_variadic_tensors_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_meshgrid_variadic_tensors_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_meshgrid_variadic_tensors_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_meshgrid_variadic_tensors_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_meshgrid_variadic_tensors_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_meshgrid_variadic_tensors_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_meshgrid_variadic_tensors_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_meshgrid_variadic_tensors_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_meshgrid_variadic_tensors_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_meshgrid_variadic_tensors_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_meshgrid_variadic_tensors_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_min_binary_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_min_binary_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_min_binary_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_min_binary_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_min_binary_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_min_binary_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_min_binary_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_min_binary_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_min_binary_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_min_binary_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_min_reduction_no_dim_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_min_reduction_no_dim_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_min_reduction_no_dim_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_min_reduction_no_dim_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_min_reduction_no_dim_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_min_reduction_no_dim_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_min_reduction_no_dim_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_min_reduction_no_dim_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_min_reduction_no_dim_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_min_reduction_no_dim_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_min_reduction_with_dim_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_min_reduction_with_dim_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_min_reduction_with_dim_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_min_reduction_with_dim_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_min_reduction_with_dim_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_min_reduction_with_dim_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_min_reduction_with_dim_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_min_reduction_with_dim_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_min_reduction_with_dim_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_min_reduction_with_dim_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_minimum_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_minimum_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_minimum_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_minimum_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_minimum_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_minimum_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_minimum_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_minimum_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_minimum_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_minimum_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mm_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mm_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mm_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mm_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mm_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mm_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mode_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mode_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mode_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mode_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mode_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mode_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mode_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mode_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mode_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mode_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_movedim_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_movedim_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_movedim_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_movedim_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_movedim_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_movedim_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_movedim_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_movedim_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_movedim_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_movedim_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_movedim_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_movedim_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_movedim_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_msort_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_msort_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_msort_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_msort_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_msort_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_msort_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_msort_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_msort_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_msort_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_msort_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mul_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mul_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mul_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mul_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mul_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mul_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mul_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mul_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mul_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mul_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mul_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mul_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mul_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_multinomial_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_multinomial_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_multinomial_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_multinomial_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mv_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mv_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mv_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mv_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mv_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mv_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cuda_int64, 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, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nansum_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nansum_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nansum_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nansum_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nansum_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nansum_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nansum_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nansum_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nansum_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nansum_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_copy_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_copy_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_copy_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_copy_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_copy_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_copy_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_copy_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_copy_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_copy_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_copy_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_copy_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_copy_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_copy_cuda_uint8, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_native_batch_norm_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_native_batch_norm_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_native_batch_norm_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_native_batch_norm_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_native_dropout_backward_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_native_dropout_backward_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_native_dropout_backward_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_native_dropout_backward_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_native_layer_norm_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_native_layer_norm_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_native_layer_norm_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_native_layer_norm_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ne_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ne_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ne_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ne_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ne_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ne_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ne_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ne_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ne_cuda_int32, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_neg_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_neg_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_neg_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_empty_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_empty_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_empty_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_empty_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_empty_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_empty_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_empty_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_empty_cuda_float64, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_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, 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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, 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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, 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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, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_3_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_3_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_3_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_3_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_4_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_4_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_4_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_4_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_4_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_4_cuda_int16, 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, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_pow_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_pow_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_pow_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_pow_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_pow_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_prod_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_prod_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_prod_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_prod_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_prod_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_prod_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_prod_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_prod_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_prod_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_prod_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_prod_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_prod_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_prod_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_put_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_put_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_put_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_put_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_put_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_put_cuda_float32, 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, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rad2deg_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rad2deg_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rad2deg_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rad2deg_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rad2deg_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rad2deg_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rad2deg_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rad2deg_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rad2deg_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rad2deg_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rand_like_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rand_like_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rand_like_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rand_like_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rand_like_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rand_like_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rand_like_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randint_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randint_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randint_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randint_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randint_cuda_int16, 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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_resolve_conj_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_resolve_conj_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_resolve_conj_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_resolve_conj_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_resolve_conj_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_resolve_conj_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_resolve_conj_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_resolve_conj_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_resolve_conj_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_resolve_conj_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_resolve_neg_cuda_bfloat16, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsqrt_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsqrt_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsub_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsub_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsub_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsub_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsub_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsub_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsub_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsub_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsub_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsub_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsub_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scalar_tensor_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scalar_tensor_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scalar_tensor_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scalar_tensor_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scalar_tensor_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scalar_tensor_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scalar_tensor_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scalar_tensor_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scalar_tensor_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scalar_tensor_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scalar_tensor_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scalar_tensor_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scalar_tensor_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_add_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_add_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_add_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_add_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_add_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_add_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_add_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_add_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_add_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_add_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_add_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_add_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_cuda_float64, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_amax_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_amax_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_amax_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_amin_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_amin_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_amin_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_amin_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_amin_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_amin_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_amin_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_amin_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_amin_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_mean_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_mean_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_mean_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_mean_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_mean_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_mean_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_mean_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_mean_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_mean_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_prod_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_prod_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_prod_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_prod_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_prod_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_prod_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_prod_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_prod_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_prod_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_sum_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_sum_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_sum_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_sum_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_sum_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_sum_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_sum_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_sum_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_sum_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_sum_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_searchsorted_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_searchsorted_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_searchsorted_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_searchsorted_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_searchsorted_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_searchsorted_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_searchsorted_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_searchsorted_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_searchsorted_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_scatter_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_scatter_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_scatter_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_scatter_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_scatter_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_scatter_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_scatter_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_scatter_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_scatter_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_scatter_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sgn_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sgn_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sgn_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sgn_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sgn_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sgn_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sgn_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sgn_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sgn_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sgn_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sgn_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sgn_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sgn_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_short_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_short_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_short_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_short_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_short_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_short_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_short_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_short_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_short_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_short_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_short_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_short_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sigmoid_cuda_bfloat16, 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, 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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, 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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, 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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
2025-08-14T22:40:52.2943406Z 
2025-08-14T22:40:52.2943604Z Running test_python_dispatch 1/1 ... [2025-08-14 22:40:52.013606]
2025-08-14T22:40:52.2943973Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T22:40:52.2944726Z 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'] ... [2025-08-14 22:40:52.013980]
2025-08-14T22:40:58.6899677Z 
2025-08-14T22:40:58.6900717Z test_python_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_python_dispatch_1.1_1b04af46f45c53e2_.log
2025-08-14T22:40:58.6932646Z 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
2025-08-14T22:40:58.6962218Z 
2025-08-14T22:40:58.6962356Z Running test_dispatch 1/1 ... [2025-08-14 22:40:58.690301]
2025-08-14T22:40:58.6962654Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T22:40:58.6963379Z 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'] ... [2025-08-14 22:40:58.690675]
2025-08-14T22:41:20.6389953Z 
2025-08-14T22:41:20.6392533Z test_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dispatch_1.1_9183cc14de7a781a_.log
2025-08-14T22:41:20.6400628Z 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
2025-08-14T22:41:20.6407400Z 
2025-08-14T22:41:20.6407584Z Running test_namedtuple_return_api 1/1 ... [2025-08-14 22:41:20.639164]
2025-08-14T22:41:20.6407917Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T22:41:20.6408673Z 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'] ... [2025-08-14 22:41:20.639570]
2025-08-14T22:41:25.3630205Z 
2025-08-14T22:41:25.3631055Z 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_298194e655b3b173_.log
2025-08-14T22:41:25.3632814Z 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
2025-08-14T22:41:25.3633838Z 
2025-08-14T22:41:25.3634038Z Running test_multiprocessing 1/1 ... [2025-08-14 22:41:25.363122]
2025-08-14T22:41:25.3634454Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T22:41:25.3637056Z 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'] ... [2025-08-14 22:41:25.363455]
2025-08-14T22:43:29.8071133Z 
2025-08-14T22:43:29.8072845Z test_multiprocessing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_1.1_b2d85e6946c4d033_.log
2025-08-14T22:43:29.8083334Z 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
2025-08-14T22:43:29.8092784Z 
2025-08-14T22:43:29.8092944Z Running test_autograd_fallback 1/1 ... [2025-08-14 22:43:29.807390]
2025-08-14T22:43:29.8093258Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T22:43:29.8094033Z 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'] ... [2025-08-14 22:43:29.807764]
2025-08-14T22:43:33.5287554Z 
2025-08-14T22:43:33.5288413Z test_autograd_fallback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_fallback_1.1_b4274371f6e1c0bb_.log
2025-08-14T22:43:33.5298773Z 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
2025-08-14T22:43:33.5306983Z 
2025-08-14T22:43:33.5307200Z Running test_cpp_extensions_mtia_backend 1/1 ... [2025-08-14 22:43:33.528869]
2025-08-14T22:43:33.5307541Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T22:43:33.5308318Z 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'] ... [2025-08-14 22:43:33.529217]
2025-08-14T22:43:36.7996173Z 
2025-08-14T22:43:36.7997074Z 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_ba97c4ffa9e7477c_.log
2025-08-14T22:43:36.7999914Z 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
2025-08-14T22:43:36.8002254Z 
2025-08-14T22:43:36.8002540Z Running test_jit_disabled 1/1 ... [2025-08-14 22:43:36.799758]
2025-08-14T22:43:36.8002909Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T22:43:36.8004246Z 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'] ... [2025-08-14 22:43:36.800164]
2025-08-14T22:43:40.4707888Z 
2025-08-14T22:43:40.4708749Z test_jit_disabled 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_disabled_1.1_49848c473327f1f3_.log
2025-08-14T22:43:40.4710651Z 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
2025-08-14T22:43:40.4712062Z 
2025-08-14T22:43:40.4712354Z Running functorch/test_memory_efficient_fusion 1/1 ... [2025-08-14 22:43:40.470907]
2025-08-14T22:43:40.4712804Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T22:43:40.4715582Z 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'] ... [2025-08-14 22:43:40.471287]
2025-08-14T22:43:49.5010974Z 
2025-08-14T22:43:49.5012652Z 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_163d370346714cee_.log
2025-08-14T22:43:49.5020921Z 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
2025-08-14T22:43:49.5026710Z 
2025-08-14T22:43:49.5026874Z Running test_tensor_creation_ops 1/1 ... [2025-08-14 22:43:49.501292]
2025-08-14T22:43:49.5027197Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T22:43:49.5027945Z 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'] ... [2025-08-14 22:43:49.501652]
2025-08-14T22:44:55.4748429Z 
2025-08-14T22:44:55.4749653Z 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_43176b0eb756d992_.log
2025-08-14T22:44:55.4884474Z 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
2025-08-14T22:44:55.5015549Z 
2025-08-14T22:44:55.5015702Z Running test_autocast 1/1 ... [2025-08-14 22:44:55.475779]
2025-08-14T22:44:55.5016007Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T22:44:55.5016725Z 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'] ... [2025-08-14 22:44:55.476133]
2025-08-14T22:45:00.0987863Z 
2025-08-14T22:45:00.0989024Z test_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autocast_1.1_287f355573776bbc_.log
2025-08-14T22:45:00.0995764Z 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
2025-08-14T22:45:00.1000117Z 
2025-08-14T22:45:00.1000321Z Running test_cpp_extensions_stream_and_event 1/1 ... [2025-08-14 22:45:00.098909]
2025-08-14T22:45:00.1000676Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T22:45:00.1001464Z 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'] ... [2025-08-14 22:45:00.099302]
2025-08-14T22:45:03.3697728Z 
2025-08-14T22:45:03.3698764Z 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_bc4f45d471c3d9ce_.log
2025-08-14T22:45:03.3699911Z Running 1 items in this shard: test/test_cpp_extensions_stream_and_event.py::TestCppExtensionStreamAndEvent::test_stream_event
2025-08-14T22:45:03.3700406Z 
2025-08-14T22:45:03.3702113Z Running test_cuda_trace 1/1 ... [2025-08-14 22:45:03.369996]
2025-08-14T22:45:03.3702508Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T22:45:03.3706303Z 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'] ... [2025-08-14 22:45:03.370394]
2025-08-14T22:45:49.1738046Z 
2025-08-14T22:45:49.1739208Z test_cuda_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_trace_1.1_3c5ddbe77db7e7e0_.log
2025-08-14T22:45:49.1745158Z 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
2025-08-14T22:45:49.1749795Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_all_trace_callbacks_called
2025-08-14T22:45:49.1751130Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_device_synchronization_callback
2025-08-14T22:45:49.1752092Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_event_creation_callback
2025-08-14T22:45:49.1753208Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_event_deletion_callback
2025-08-14T22:45:49.1753988Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_event_record_callback
2025-08-14T22:45:49.1754543Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_event_synchronization_callback
2025-08-14T22:45:49.1755093Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_event_wait_callback
2025-08-14T22:45:49.1755617Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_memcpy_synchronization
2025-08-14T22:45:49.1756146Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_memory_allocation_callback
2025-08-14T22:45:49.1756959Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_memory_deallocation_callback
2025-08-14T22:45:49.1757758Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_stream_creation_callback
2025-08-14T22:45:49.1758303Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_stream_synchronization_callback
2025-08-14T22:45:49.1758627Z 
2025-08-14T22:45:49.1758763Z Running test_reductions 1/1 ... [2025-08-14 22:45:49.174577]
2025-08-14T22:45:49.1759053Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T22:45:49.1759812Z 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'] ... [2025-08-14 22:45:49.175031]
2025-08-14T22:48:18.2770312Z 
2025-08-14T22:48:18.2771124Z test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_reductions_1.1_b21adbbac8782c99_.log
2025-08-14T22:48:18.3994983Z 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, 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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, 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test/test_reductions.py::TestReductionsCUDA::test_result_dtype_masked_std_cuda_int8, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_masked_std_cuda_uint8, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_masked_sum_cuda_bfloat16, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_masked_sum_cuda_bool, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_masked_sum_cuda_complex128, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_masked_sum_cuda_complex64, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_masked_sum_cuda_float16, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_masked_sum_cuda_float32, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_masked_sum_cuda_float64, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_masked_sum_cuda_int16, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_masked_sum_cuda_int32, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_masked_sum_cuda_int64, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_masked_sum_cuda_int8, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_masked_sum_cuda_uint8, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_masked_var_cuda_bfloat16, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_masked_var_cuda_complex128, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_masked_var_cuda_complex64, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_masked_var_cuda_float16, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_masked_var_cuda_float32, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_masked_var_cuda_float64, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_masked_var_cuda_int16, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_masked_var_cuda_int32, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_masked_var_cuda_int64, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_masked_var_cuda_int8, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_masked_var_cuda_uint8, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_mean_cuda_bfloat16, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_mean_cuda_complex128, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_mean_cuda_complex64, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_mean_cuda_float16, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_mean_cuda_float32, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_mean_cuda_float64, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_nanmean_cuda_bfloat16, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_nanmean_cuda_complex128, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_nanmean_cuda_complex32, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_nanmean_cuda_complex64, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_nanmean_cuda_float16, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_nanmean_cuda_float32, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_nanmean_cuda_float64, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_nansum_cuda_bfloat16, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_nansum_cuda_bool, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_nansum_cuda_complex128, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_nansum_cuda_complex32, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_nansum_cuda_complex64, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_nansum_cuda_float16, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_nansum_cuda_float32, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_nansum_cuda_float64, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_nansum_cuda_int16, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_nansum_cuda_int32, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_nansum_cuda_int64, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_nansum_cuda_int8, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_nansum_cuda_uint8, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_prod_cuda_bfloat16, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_prod_cuda_bool, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_prod_cuda_complex128, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_prod_cuda_complex32, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_prod_cuda_complex64, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_prod_cuda_float16, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_prod_cuda_float32, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_prod_cuda_float64, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_prod_cuda_int16, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_prod_cuda_int32, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_prod_cuda_int64, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_prod_cuda_int8, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_prod_cuda_uint8, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_std_cuda_bfloat16, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_std_cuda_complex128, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_std_cuda_complex64, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_std_cuda_float16, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_std_cuda_float32, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_std_cuda_float64, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_std_unbiased_cuda_bfloat16, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_std_unbiased_cuda_complex128, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_std_unbiased_cuda_complex64, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_std_unbiased_cuda_float16, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_std_unbiased_cuda_float32, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_std_unbiased_cuda_float64, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_sum_cuda_bfloat16, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_sum_cuda_bool, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_sum_cuda_complex128, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_sum_cuda_complex32, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_sum_cuda_complex64, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_sum_cuda_float16, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_sum_cuda_float32, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_sum_cuda_float64, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_sum_cuda_int16, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_sum_cuda_int32, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_sum_cuda_int64, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_sum_cuda_int8, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_sum_cuda_uint8, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_var_cuda_bfloat16, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_var_cuda_complex128, 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
2025-08-14T22:48:18.5177205Z 
2025-08-14T22:48:18.5177378Z Running test_native_mha 1/1 ... [2025-08-14 22:48:18.282760]
2025-08-14T22:48:18.5177675Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T22:48:18.5178409Z 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'] ... [2025-08-14 22:48:18.283145]
2025-08-14T22:48:22.8559856Z 
2025-08-14T22:48:22.8560816Z test_native_mha 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_mha_1.1_6eb947021a47a800_.log
2025-08-14T22:48:22.8590088Z 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
2025-08-14T22:48:22.8617340Z 
2025-08-14T22:48:22.8617496Z Running test_sort_and_select 1/1 ... [2025-08-14 22:48:22.856360]
2025-08-14T22:48:22.8617794Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T22:48:22.8618531Z 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'] ... [2025-08-14 22:48:22.856739]
2025-08-14T22:48:29.9833133Z 
2025-08-14T22:48:29.9833946Z 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_70a53b92257ac62c_.log
2025-08-14T22:48:29.9861514Z 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
2025-08-14T22:48:29.9886879Z 
2025-08-14T22:48:29.9887057Z Running test_cuda_nvml_based_avail 1/1 ... [2025-08-14 22:48:29.983595]
2025-08-14T22:48:29.9887376Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T22:48:29.9888167Z 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'] ... [2025-08-14 22:48:29.983968]
2025-08-14T22:49:03.8854083Z 
2025-08-14T22:49:03.8855188Z 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_11f202116bf3d255_.log
2025-08-14T22:49:03.8859224Z 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
2025-08-14T22:49:03.8863130Z Running 1 items in this shard: test/test_cuda_nvml_based_avail.py::TestExtendedCUDAIsAvail::test_cuda_is_available_nvml_avail_False_avoid_init2
2025-08-14T22:49:03.8864317Z Running 1 items in this shard: test/test_cuda_nvml_based_avail.py::TestExtendedCUDAIsAvail::test_cuda_is_available_nvml_avail_False_avoid_init_0
2025-08-14T22:49:03.8865203Z Running 1 items in this shard: test/test_cuda_nvml_based_avail.py::TestExtendedCUDAIsAvail::test_cuda_is_available_nvml_avail_False_avoid_init_1
2025-08-14T22:49:03.8923152Z Running 1 items in this shard: test/test_cuda_nvml_based_avail.py::TestExtendedCUDAIsAvail::test_cuda_is_available_nvml_avail_True_avoid_init2
2025-08-14T22:49:03.8924126Z Running 1 items in this shard: test/test_cuda_nvml_based_avail.py::TestExtendedCUDAIsAvail::test_cuda_is_available_nvml_avail_True_avoid_init_0
2025-08-14T22:49:03.8924934Z Running 1 items in this shard: test/test_cuda_nvml_based_avail.py::TestExtendedCUDAIsAvail::test_cuda_is_available_nvml_avail_True_avoid_init_1
2025-08-14T22:49:03.8925634Z Running 1 items in this shard: test/test_cuda_nvml_based_avail.py::TestVisibleDeviceParses::test_env_var_parsing
2025-08-14T22:49:03.8926894Z Running 1 items in this shard: test/test_cuda_nvml_based_avail.py::TestVisibleDeviceParses::test_ordinal_parse_visible_devices
2025-08-14T22:49:03.8927605Z Running 1 items in this shard: test/test_cuda_nvml_based_avail.py::TestVisibleDeviceParses::test_partial_uuid_resolver
2025-08-14T22:49:03.8927963Z 
2025-08-14T22:49:03.8928069Z Running test_nn 1/1 ... [2025-08-14 22:49:03.885787]
2025-08-14T22:49:03.8928327Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T22:49:03.8929031Z 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'] ... [2025-08-14 22:49:03.886114]
2025-08-14T22:51:51.2359465Z 
2025-08-14T22:51:51.2360245Z test_nn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_nn_1.1_2e67dd7f95808664_.log
2025-08-14T22:51:51.3191956Z 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
2025-08-14T22:51:51.3990311Z 
2025-08-14T22:51:51.3990502Z Running test_cpp_extensions_jit 1/1 ... [2025-08-14 22:51:51.239771]
2025-08-14T22:51:51.3990839Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T22:51:51.3991593Z 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'] ... [2025-08-14 22:51:51.240148]
2025-08-14T22:52:59.1672728Z 
2025-08-14T22:52:59.1673603Z 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_a965213784468ae2_.log
2025-08-14T22:52:59.1684036Z 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
2025-08-14T22:52:59.1692986Z 
2025-08-14T22:52:59.7090886Z Uploading artifacts took 0.54 seconds
2025-08-14T22:52:59.7093898Z Running test_overrides 1/1 ... [2025-08-14 22:52:59.709159]
2025-08-14T22:52:59.7094307Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T22:52:59.7097084Z 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'] ... [2025-08-14 22:52:59.709469]
2025-08-14T22:53:06.4854621Z 
2025-08-14T22:53:06.4855395Z test_overrides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_overrides_1.1_1887803e91e2d158_.log
2025-08-14T22:53:06.5182328Z 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__, 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test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_greater, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_greater_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_greater_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_greater_equal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_gt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_gt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_half, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hardshrink, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_has_names, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hash_tensor, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_heaviside, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_heaviside_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_histc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_histogram, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hsplit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hypot, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hypot_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_i0, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_i0_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igammac, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igammac_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_add, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_add_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_copy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_copy_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_fill, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_fill_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_put, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_put_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_reduce_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_inner, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_int, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_int_repr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ipu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_coalesced, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_complex, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_conj, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_contiguous, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_distributed, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_floating_point, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_inference, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_pinned, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_same_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_set_to, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_shared, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_signed, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isclose, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isfinite, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isinf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isnan, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isneginf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isposinf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isreal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_istft, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_item, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_kron, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_kthvalue, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lcm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lcm_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ldexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ldexp_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_le, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_le_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lerp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lerp_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less_equal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lgamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lgamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log10, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log10_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log1p, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log1p_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logaddexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logaddexp2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logcumsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logdet, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_and, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_and_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_not, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_not_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_or, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_or_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_xor, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_xor_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logit_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_long, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lu_solve, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_map2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_map_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_fill, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_fill_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_scatter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matrix_exp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matrix_power, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_max, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_maximum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mean, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_median, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_min, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_minimum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mode, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_module_load, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_moveaxis, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_movedim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_msort, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mtia, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mul, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mul_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multinomial, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multiply, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multiply_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mv, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mvlgamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mvlgamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nan_to_num, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nan_to_num_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanmean, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanmedian, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanquantile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nansum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_narrow, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_narrow_copy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ndimension, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ne, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ne_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_neg_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_negative, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_negative_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nelement, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nextafter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nextafter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nonzero_static, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_norm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_not_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_not_equal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_numel, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_numpy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_orgqr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ormqr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_outer, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_permute, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pin_memory, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pinverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_polygamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_polygamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_positive, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pow, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pow_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_prelu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_prod, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_put, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_put_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_axis, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_scales, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_zero_points, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_scale, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_zero_point, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_qr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_qscheme, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_quantile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rad2deg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rad2deg_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_random_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ravel, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reciprocal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reciprocal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_record_stream, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_refine_names, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_register_hook, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_register_post_accumulate_grad_hook, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_relu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_relu_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_remainder, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_remainder_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rename, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rename_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_renorm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_renorm_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_repeat, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_repeat_interleave, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_requires_grad_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reshape, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reshape_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_as_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_as_sparse_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resolve_conj, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resolve_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_retain_grad, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_roll, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rot90, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_round, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_round_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_row_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rsqrt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rsqrt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_add, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_add_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_reduce_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_select_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_set_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sgn, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sgn_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_share_memory_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_short, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sigmoid, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sigmoid_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sign, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sign_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_signbit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sin_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinc_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slice_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slice_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slogdet, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_smm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sort, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_mask, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_resize_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_resize_and_clear_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sqrt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sqrt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_square, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_square_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_squeeze, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_squeeze_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sspaddmm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_std, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_stft, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage_offset, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage_type, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sub, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sub_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_subtract, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_subtract_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sum_to_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_svd, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapaxes, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapaxes_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapdims, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapdims_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_t, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_t_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_take, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_take_along_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tan, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tan_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tanh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_dense, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_mkldnn, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_sparse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tolist, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_topk, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trace, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_transpose_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triangular_solve, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tril, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tril_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triu_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_true_divide, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_true_divide_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trunc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trunc_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_type, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_type_as, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_modified_bessel_i1, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_modified_bessel_k0, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_modified_bessel_k1, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_multigammaln, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_ndtr, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_ndtri, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_polygamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_psi, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_round, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_scaled_modified_bessel_k0, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_xlogy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_zeta, test/test_overrides.py::TestTorchFunctionOverride::test_torch__assert_async, test/test_overrides.py::TestTorchFunctionOverride::test_torch__conj_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__functional_assert_async, test/test_overrides.py::TestTorchFunctionOverride::test_torch__fused_rms_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch__fw_primal_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__lobpcg_lobpcg, test/test_overrides.py::TestTorchFunctionOverride::test_torch__lowrank_pca_lowrank, test/test_overrides.py::TestTorchFunctionOverride::test_torch__lowrank_svd_lowrank, test/test_overrides.py::TestTorchFunctionOverride::test_torch__make_dual_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__native_batch_norm_legit, test/test_overrides.py::TestTorchFunctionOverride::test_torch__neg_view_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__reshape_alias_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__rowwise_prune, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sparse_broadcast_to_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_acos, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_asin, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_atan, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_cos, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_cosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_sin, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_sinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_sqrt, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_tan, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__values_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__wrapped_linear_prepack, test/test_overrides.py::TestTorchFunctionOverride::test_torch__wrapped_quantized_linear_prepacked, test/test_overrides.py::TestTorchFunctionOverride::test_torch_abs, test/test_overrides.py::TestTorchFunctionOverride::test_torch_absolute, test/test_overrides.py::TestTorchFunctionOverride::test_torch_acos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_acosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adaptive_avg_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adaptive_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_add, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addbmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addcdiv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addcmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addmv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adjoint, test/test_overrides.py::TestTorchFunctionOverride::test_torch_affine_grid_generator, test/test_overrides.py::TestTorchFunctionOverride::test_torch_alias_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_all, test/test_overrides.py::TestTorchFunctionOverride::test_torch_allclose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_amax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_amin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_aminmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_angle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_any, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arccos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arccosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arcsin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arcsinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctan2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argsort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argwhere, test/test_overrides.py::TestTorchFunctionOverride::test_torch_as_strided_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_as_strided_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_asin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_asinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atan2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_avg_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_baddbmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_backward_elemt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_backward_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_elemt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_gather_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_gather_stats_with_counts, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_update_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bernoulli, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bilinear, test/test_overrides.py::TestTorchFunctionOverride::test_torch_binary_cross_entropy_with_logits, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bincount, test/test_overrides.py::TestTorchFunctionOverride::test_torch_binomial, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_and, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_left_shift, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_not, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_or, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_right_shift, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_xor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_broadcast_to, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bucketize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ccol_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ceil, test/test_overrides.py::TestTorchFunctionOverride::test_torch_celu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_channel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_choose_qparams_optimized, test/test_overrides.py::TestTorchFunctionOverride::test_torch_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clip, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clone, test/test_overrides.py::TestTorchFunctionOverride::test_torch_col_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_column_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_combinations, test/test_overrides.py::TestTorchFunctionOverride::test_torch_complex, test/test_overrides.py::TestTorchFunctionOverride::test_torch_concat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_concatenate, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conj, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conj_physical, test/test_overrides.py::TestTorchFunctionOverride::test_torch_constant_pad_nd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_tbc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_convolution, test/test_overrides.py::TestTorchFunctionOverride::test_torch_copysign, test/test_overrides.py::TestTorchFunctionOverride::test_torch_corrcoef, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosine_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosine_similarity, test/test_overrides.py::TestTorchFunctionOverride::test_torch_count_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cov, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cross, test/test_overrides.py::TestTorchFunctionOverride::test_torch_crow_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ctc_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cummax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cummin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumprod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumsum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumulative_trapezoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_deg2rad, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dequantize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_det, test/test_overrides.py::TestTorchFunctionOverride::test_torch_detach, test/test_overrides.py::TestTorchFunctionOverride::test_torch_detach_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diag_embed, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagflat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diff, test/test_overrides.py::TestTorchFunctionOverride::test_torch_digamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dsmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dsplit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dstack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_embedding, test/test_overrides.py::TestTorchFunctionOverride::test_torch_embedding_bag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_empty_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_eq, test/test_overrides.py::TestTorchFunctionOverride::test_torch_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erfc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erfinv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_exp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_exp2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_expand_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_expm1, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fake_quantize_per_channel_affine, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fake_quantize_per_tensor_affine, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_fp16_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_fp16_weight_fp32_activation, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_int8_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_int8_weight_fp32_activation, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_quantize_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_pack_gemm_matrix_fp16, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_pack_quantized_matrix, test/test_overrides.py::TestTorchFunctionOverride::test_torch_feature_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_feature_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fix, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flatten, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flip, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fliplr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flipud, test/test_overrides.py::TestTorchFunctionOverride::test_torch_float_power, test/test_overrides.py::TestTorchFunctionOverride::test_torch_floor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_floor_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frac, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frobenius_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_full_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_block_diag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_broadcast_tensors, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_cartesian_prod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_cdist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_chain_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_einsum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_lu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_meshgrid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_split, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_stft, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_tensordot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_unique, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_unique_consecutive, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_unravel_index, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fused_moving_avg_obs_fake_quant, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gather, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gcd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ge, test/test_overrides.py::TestTorchFunctionOverride::test_torch_geqrf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ger, test/test_overrides.py::TestTorchFunctionOverride::test_torch_get_device, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gradient, test/test_overrides.py::TestTorchFunctionOverride::test_torch_greater, test/test_overrides.py::TestTorchFunctionOverride::test_torch_greater_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_grid_sampler, test/test_overrides.py::TestTorchFunctionOverride::test_torch_grid_sampler_2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_grid_sampler_3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_group_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gru, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gru_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hardshrink, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hash_tensor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_heaviside, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hinge_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_histc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_histogram, test/test_overrides.py::TestTorchFunctionOverride::test_torch_histogramdd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hsmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hsplit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hstack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hypot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_i0, test/test_overrides.py::TestTorchFunctionOverride::test_torch_igamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_igammac, test/test_overrides.py::TestTorchFunctionOverride::test_torch_imag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_add, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_fill, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_put, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_select, test/test_overrides.py::TestTorchFunctionOverride::test_torch_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_inner, test/test_overrides.py::TestTorchFunctionOverride::test_torch_instance_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_int_repr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_complex, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_conj, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_distributed, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_floating_point, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_inference, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_neg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_same_size, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_signed, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isclose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isfinite, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isinf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isnan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isneginf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isposinf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isreal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_istft, test/test_overrides.py::TestTorchFunctionOverride::test_torch_kl_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_kron, test/test_overrides.py::TestTorchFunctionOverride::test_torch_kthvalue, test/test_overrides.py::TestTorchFunctionOverride::test_torch_layer_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lcm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ldexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_le, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lerp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_less, test/test_overrides.py::TestTorchFunctionOverride::test_torch_less_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lgamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log10, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log1p, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logaddexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logaddexp2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logcumsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logdet, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_and, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_not, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_or, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_xor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lstm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lstm_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lu_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lu_unpack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_margin_ranking_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_masked_fill, test/test_overrides.py::TestTorchFunctionOverride::test_torch_masked_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_masked_select, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matrix_exp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matrix_power, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_maximum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_median, test/test_overrides.py::TestTorchFunctionOverride::test_torch_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_minimum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution_add_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_depthwise_convolution, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_rnn, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mode, test/test_overrides.py::TestTorchFunctionOverride::test_torch_moveaxis, test/test_overrides.py::TestTorchFunctionOverride::test_torch_movedim, test/test_overrides.py::TestTorchFunctionOverride::test_torch_msort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_multinomial, test/test_overrides.py::TestTorchFunctionOverride::test_torch_multiply, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mvlgamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nan_to_num, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanmean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanmedian, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanquantile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nansum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_narrow, test/test_overrides.py::TestTorchFunctionOverride::test_torch_narrow_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_channel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_group_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_layer_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ne, test/test_overrides.py::TestTorchFunctionOverride::test_torch_neg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_negative, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nextafter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional__threshold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_avg_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_avg_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_affine_grid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_binary_cross_entropy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_binary_cross_entropy_with_logits, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_celu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_cosine_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_cross_entropy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_ctc_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_elu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_embedding, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_embedding_bag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_feature_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_gaussian_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_glu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_grid_sample, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_group_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_gumbel_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_hardtanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_hinge_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_huber_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_instance_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_interpolate, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_kl_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_l1_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_layer_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_leaky_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_local_response_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_margin_ranking_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_mish, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_mse_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multi_head_attention_forward, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multi_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multilabel_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multilabel_soft_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_normalize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_pad, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_poisson_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_relu6, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_rms_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_rrelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_selu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_silu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_smooth_l1_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_soft_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_softmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_softsign, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_tanhshrink, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_triplet_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_triplet_margin_with_distance_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_unfold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_constant_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_kaiming_uniform_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_uniform_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nonzero_static, test/test_overrides.py::TestTorchFunctionOverride::test_torch_norm_except_dim, test/test_overrides.py::TestTorchFunctionOverride::test_torch_not_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nuclear_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_numel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ones_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_orgqr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ormqr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_outer, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pairwise_distance, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pdist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_permute, test/test_overrides.py::TestTorchFunctionOverride::test_torch_permute_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pinverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pixel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pixel_unshuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_poisson, test/test_overrides.py::TestTorchFunctionOverride::test_torch_poisson_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_polar, test/test_overrides.py::TestTorchFunctionOverride::test_torch_polygamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_positive, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pow, test/test_overrides.py::TestTorchFunctionOverride::test_torch_prelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_prod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_put, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_axis, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_scales, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_zero_points, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_scale, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_zero_point, test/test_overrides.py::TestTorchFunctionOverride::test_torch_qr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_channel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_tensor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_tensor_dynamic, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_gru_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_lstm_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_rnn_relu_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_rnn_tanh_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rad2deg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rand_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_randint_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_randn_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ravel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_real, test/test_overrides.py::TestTorchFunctionOverride::test_torch_reciprocal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_remainder, test/test_overrides.py::TestTorchFunctionOverride::test_torch_renorm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_repeat_interleave, test/test_overrides.py::TestTorchFunctionOverride::test_torch_reshape, test/test_overrides.py::TestTorchFunctionOverride::test_torch_resolve_conj, test/test_overrides.py::TestTorchFunctionOverride::test_torch_resolve_neg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rms_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_relu_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_tanh_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_roll, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rot90, test/test_overrides.py::TestTorchFunctionOverride::test_torch_round, test/test_overrides.py::TestTorchFunctionOverride::test_torch_row_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_row_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rrelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rsqrt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rsub, test/test_overrides.py::TestTorchFunctionOverride::test_torch_saddmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter_add, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_searchsorted, test/test_overrides.py::TestTorchFunctionOverride::test_torch_segment_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_selu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sgn, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sigmoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sign, test/test_overrides.py::TestTorchFunctionOverride::test_torch_signbit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sinc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slice_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slice_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slice_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slogdet, test/test_overrides.py::TestTorchFunctionOverride::test_torch_smm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_split_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_torch_split_with_sizes_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sqrt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_square, test/test_overrides.py::TestTorchFunctionOverride::test_torch_squeeze, test/test_overrides.py::TestTorchFunctionOverride::test_torch_squeeze_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_std, test/test_overrides.py::TestTorchFunctionOverride::test_torch_std_mean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sub, test/test_overrides.py::TestTorchFunctionOverride::test_torch_subtract, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_svd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_swapaxes, test/test_overrides.py::TestTorchFunctionOverride::test_torch_swapdims, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_float, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_int, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_ite, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_not, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_sum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_t, test/test_overrides.py::TestTorchFunctionOverride::test_torch_t_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_take, test/test_overrides.py::TestTorchFunctionOverride::test_torch_take_along_dim, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_torch_threshold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_topk, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trace, test/test_overrides.py::TestTorchFunctionOverride::test_torch_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_transpose_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trapezoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trapz, test/test_overrides.py::TestTorchFunctionOverride::test_torch_triangular_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tril, test/test_overrides.py::TestTorchFunctionOverride::test_torch_triplet_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_triu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_true_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trunc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unbind, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unbind_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unflatten, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unfold_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsafe_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsafe_split, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsafe_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsqueeze, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsqueeze_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_values_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_var, test/test_overrides.py::TestTorchFunctionOverride::test_torch_var_mean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_vdot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_complex, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_complex_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_real, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_real_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_vsplit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_vstack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_where, test/test_overrides.py::TestTorchFunctionOverride::test_torch_xlogy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_zeros_like, test/test_overrides.py::TestTorchFunctionOverride::test_user_implementation_raises, test/test_overrides.py::TestEinsumOverride::test_wrapper, test/test_overrides.py::TestGradCheckOverride::test_gradcheck, test/test_overrides.py::TestNamedTuple::test_max, test/test_overrides.py::TestGradNewOnesOverride::test_newones, test/test_overrides.py::TestPickle::test_pickle, test/test_overrides.py::TestBroadcastAllOverride::test_broadcast_all, test/test_overrides.py::TestWrapTorchFunction::test_wrap_torch_function, test/test_overrides.py::TestIndexing::test_getitem, test/test_overrides.py::TestIndexing::test_getitem_subclass, test/test_overrides.py::TestIndexing::test_setitem, test/test_overrides.py::TestIndexing::test_setitem_subclass, test/test_overrides.py::TestIndexing::test_setitem_val, test/test_overrides.py::TestIterator::test_iterator, test/test_overrides.py::TestRNN::test_rnn, test/test_overrides.py::TestDisabledTorchFunction::test_parameter_does_not_prevent_dispatch, test/test_overrides.py::TestResolveName::test_resolve_name, test/test_overrides.py::TestTorchFunctionWarning::test_warn_on_invalid_torch_function_standalone_class, test/test_overrides.py::TestTorchFunctionWarning::test_warn_on_invalid_torch_function_tensor_subclass, test/test_overrides.py::TestDisabledUserWarnings::test_no_implicit_user_warning_for_deprecated_functions, test/test_overrides.py::TestTorchFunctionMode::test_all_same_mode, test/test_overrides.py::TestTorchFunctionMode::test_basic, test/test_overrides.py::TestTorchFunctionMode::test_custom_device_type, test/test_overrides.py::TestTorchFunctionMode::test_device_context_semantics, test/test_overrides.py::TestTorchFunctionMode::test_disable_enable_subclass, test/test_overrides.py::TestTorchFunctionMode::test_disable_enable_torch_function_ctx, test/test_overrides.py::TestTorchFunctionMode::test_disable_subclass_mode, test/test_overrides.py::TestTorchFunctionMode::test_disable_subclass_not_mode, test/test_overrides.py::TestTorchFunctionMode::test_distributions_bernoulli, test/test_overrides.py::TestTorchFunctionMode::test_error_using_class_method_on_mode, test/test_overrides.py::TestTorchFunctionMode::test_factory_override, test/test_overrides.py::TestTorchFunctionMode::test_get_cur_mode, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_mode_notimplemented_loop, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_modes_return_notimplemented, test/test_overrides.py::TestTorchFunctionMode::test_nested_modes_with_python_has_torch_function, test/test_overrides.py::TestTorchFunctionMode::test_nested_same_mode, test/test_overrides.py::TestTorchFunctionMode::test_nn_parse_to, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_restacking_with_ancestor, test/test_overrides.py::TestTorchFunctionMode::test_subclass_hash, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_with_mode, test/test_overrides.py::TestTorchFunctionMode::test_with_mode_created_separately, test/test_overrides.py::TestTorchFunctionMode::test_with_nested_modes
2025-08-14T22:53:06.5498686Z 
2025-08-14T22:53:06.5498843Z Running nn/test_pooling 1/1 ... [2025-08-14 22:53:06.487347]
2025-08-14T22:53:06.5499137Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T22:53:06.5499872Z 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'] ... [2025-08-14 22:53:06.487719]
2025-08-14T22:53:16.7204105Z 
2025-08-14T22:53:16.7205678Z nn/test_pooling 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pooling_1.1_f6c0343616e295a2_.log
2025-08-14T22:53:16.7244163Z 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
2025-08-14T22:53:16.7281398Z 
2025-08-14T22:53:16.7281557Z Running test_cuda_primary_ctx 1/1 ... [2025-08-14 22:53:16.720752]
2025-08-14T22:53:16.7281949Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T22:53:16.7282808Z 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'] ... [2025-08-14 22:53:16.721101]
2025-08-14T22:53:34.6577711Z 
2025-08-14T22:53:34.6578569Z 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_5047b7f07419f2a0_.log
2025-08-14T22:53:34.6580211Z 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
2025-08-14T22:53:34.6581684Z Running 1 items in this shard: test/test_cuda_primary_ctx.py::TestCudaPrimaryCtx::test_copy
2025-08-14T22:53:34.6582283Z Running 1 items in this shard: test/test_cuda_primary_ctx.py::TestCudaPrimaryCtx::test_pin_memory
2025-08-14T22:53:34.6582915Z Running 1 items in this shard: test/test_cuda_primary_ctx.py::TestCudaPrimaryCtx::test_set_device_0
2025-08-14T22:53:34.6583448Z Running 1 items in this shard: test/test_cuda_primary_ctx.py::TestCudaPrimaryCtx::test_str_repr
2025-08-14T22:53:34.6583740Z 
2025-08-14T22:53:34.6583907Z Running test_mobile_optimizer 1/1 ... [2025-08-14 22:53:34.658010]
2025-08-14T22:53:34.6584209Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T22:53:34.6586163Z 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'] ... [2025-08-14 22:53:34.658398]
2025-08-14T22:53:39.9347519Z 
2025-08-14T22:53:39.9348647Z test_mobile_optimizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mobile_optimizer_1.1_74afd0631f6f533f_.log
2025-08-14T22:53:39.9352041Z 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
2025-08-14T22:53:39.9354949Z 
2025-08-14T22:53:39.9355177Z Running test_multiprocessing_spawn 1/1 ... [2025-08-14 22:53:39.934870]
2025-08-14T22:53:39.9355523Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T22:53:39.9356491Z 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'] ... [2025-08-14 22:53:39.935250]
2025-08-14T22:55:54.0515009Z 
2025-08-14T22:55:54.0515975Z test_multiprocessing_spawn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_spawn_1.1_d1f791ceb9718f45_.log
2025-08-14T22:55:54.0526495Z 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_5, 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_5, 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_5, 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
2025-08-14T22:55:54.0534714Z 
2025-08-14T22:55:54.0534981Z Running nn/test_convolution 1/1 ... [2025-08-14 22:55:54.051721]
2025-08-14T22:55:54.0535298Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T22:55:54.0536146Z 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'] ... [2025-08-14 22:55:54.052110]
2025-08-14T22:56:55.9807144Z 
2025-08-14T22:56:55.9807998Z nn/test_convolution 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_convolution_1.1_cde7e5c8c0d55aea_.log
2025-08-14T22:56:56.0046163Z Running 607 items in this shard: test/nn/test_convolution.py::TestConvolutionNN::test_Conv1d_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_1x1, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_OneDNN, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_backward_twice, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_groups_nobias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_groups_nobias_v2, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_inconsistent_types, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_inconsistent_types_on_GPU_with_cudnn, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_inconsistent_types_on_GPU_without_cudnn, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_missing_argument, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_groups_nobias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_groups_wbias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose2d_half_cublas_gemm, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose2d_output_size, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose2d_output_size_downsample_upsample, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose3d_correct_output_size, test/nn/test_convolution.py::TestConvolutionNN::test_conv1d_issue_120547, test/nn/test_convolution.py::TestConvolutionNN::test_conv2d_discontiguous_weight, test/nn/test_convolution.py::TestConvolutionNN::test_conv3d_issue_120406, test/nn/test_convolution.py::TestConvolutionNN::test_conv_backcompat, test/nn/test_convolution.py::TestConvolutionNN::test_conv_cudnn_memory_layout_dominance, test/nn/test_convolution.py::TestConvolutionNN::test_conv_invalid_groups, test/nn/test_convolution.py::TestConvolutionNN::test_conv_modules_raise_error_on_incorrect_input_size, test/nn/test_convolution.py::TestConvolutionNN::test_conv_padding_mode, test/nn/test_convolution.py::TestConvolutionNN::test_conv_shapecheck, test/nn/test_convolution.py::TestConvolutionNN::test_conv_tbc, test/nn/test_convolution.py::TestConvolutionNN::test_cudnn_non_contiguous, test/nn/test_convolution.py::TestConvolutionNN::test_cudnn_noncontiguous_weight, test/nn/test_convolution.py::TestConvolutionNN::test_cudnn_not_mutate_stride, test/nn/test_convolution.py::TestConvolutionNN::test_functional_grad_conv, test/nn/test_convolution.py::TestConvolutionNN::test_functional_grad_conv2d, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv1d_input, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv1d_weight, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv2d_input, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv2d_weight, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv3d_input, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv3d_weight, test/nn/test_convolution.py::TestConvolutionNN::test_grouped_conv_cudnn_nhwc_support, test/nn/test_convolution.py::TestConvolutionNN::test_invalid_conv1d, test/nn/test_convolution.py::TestConvolutionNN::test_invalid_conv2d, test/nn/test_convolution.py::TestConvolutionNN::test_invalid_conv3d, test/nn/test_convolution.py::TestConvolutionNN::test_mismatch_shape_conv2d, test/nn/test_convolution.py::TestConvolutionNN::test_nnpack_conv, test/nn/test_convolution.py::TestConvolutionNN::test_permute_conv2d_issue_120211, test/nn/test_convolution.py::TestConvolutionNN::test_thnn_conv_strided_padded_dilated, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_backward_depthwise_cuda_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_backward_depthwise_cuda_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_depthwise_naive_groups_cuda_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_depthwise_naive_groups_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_depthwise_naive_groups_cuda_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_1_cuda_bfloat16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_1_cuda_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_1_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_1_cuda_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_1_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_1_cuda_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_2_cuda_bfloat16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_2_cuda_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_2_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_2_cuda_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_2_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_2_cuda_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_3_cuda_bfloat16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_3_cuda_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_3_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_3_cuda_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_3_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_3_cuda_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_large_workspace_cuda_bfloat16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_large_workspace_cuda_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_large_workspace_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_large_workspace_cuda_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_naive_groups_cuda_bfloat16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_naive_groups_cuda_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_naive_groups_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_naive_groups_cuda_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_size_1_kernel_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv3d_depthwise_naive_groups_cuda_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv3d_depthwise_naive_groups_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv3d_depthwise_naive_groups_cuda_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_ConvTranspose2d_large_output_padding_cuda_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_ConvTranspose2d_large_output_padding_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_ConvTranspose2d_size_1_kernel_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_ConvTranspose3d_size_1_kernel_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_contig_wrong_stride_cudnn_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv1d_same_padding_backward_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv1d_same_padding_backward_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv1d_same_padding_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv1d_same_padding_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv1d_valid_padding_backward_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv1d_valid_padding_backward_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv1d_valid_padding_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv1d_valid_padding_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv1d_vs_scipy_mode_same_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv1d_vs_scipy_mode_same_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv1d_vs_scipy_mode_valid_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv1d_vs_scipy_mode_valid_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv2d_no_grad_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv2d_same_padding_backward_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv2d_same_padding_backward_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv2d_same_padding_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv2d_same_padding_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv2d_valid_padding_backward_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv2d_valid_padding_backward_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv2d_valid_padding_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv2d_valid_padding_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv2d_vs_scipy_mode_same_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv2d_vs_scipy_mode_same_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv2d_vs_scipy_mode_valid_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv2d_vs_scipy_mode_valid_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_large_batch_1_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_same_padding_backward_cuda_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_same_padding_backward_cuda_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_same_padding_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_same_padding_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_valid_padding_backward_cuda_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_valid_padding_backward_cuda_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_valid_padding_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_valid_padding_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_vs_scipy_mode_same_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_vs_scipy_mode_same_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_vs_scipy_mode_valid_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_vs_scipy_mode_valid_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_convTranspose_empty_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise1d_has_bias_False_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise1d_has_bias_False_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise1d_has_bias_False_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise1d_has_bias_False_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise1d_has_bias_True_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise1d_has_bias_True_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise1d_has_bias_True_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise1d_has_bias_True_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise2d_has_bias_False_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise2d_has_bias_False_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise2d_has_bias_False_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise2d_has_bias_False_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise2d_has_bias_True_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise2d_has_bias_True_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise2d_has_bias_True_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise2d_has_bias_True_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise3d_has_bias_False_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise3d_has_bias_False_strided_False_contiguous_True_cuda, 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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
2025-08-14T22:56:56.0274853Z 
2025-08-14T22:56:56.0275014Z Running test_spectral_ops 1/1 ... [2025-08-14 22:56:55.981971]
2025-08-14T22:56:56.0275315Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T22:56:56.0276047Z 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'] ... [2025-08-14 22:56:55.982331]
2025-08-14T22:57:17.5306113Z 
2025-08-14T22:57:17.5307386Z test_spectral_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_spectral_ops_1.1_1e00331f8053c03f_.log
2025-08-14T22:57:17.5388850Z Running 347 items in this shard: test/test_spectral_ops.py::TestFFTCUDA::test_batch_istft_cuda, test/test_spectral_ops.py::TestFFTCUDA::test_complex_istft_real_equiv_cuda_complex128, test/test_spectral_ops.py::TestFFTCUDA::test_complex_stft_definition_cuda_complex128, test/test_spectral_ops.py::TestFFTCUDA::test_complex_stft_onesided_cuda, test/test_spectral_ops.py::TestFFTCUDA::test_complex_stft_real_equiv_cuda_complex128, test/test_spectral_ops.py::TestFFTCUDA::test_complex_stft_roundtrip_cuda_complex128, test/test_spectral_ops.py::TestFFTCUDA::test_complex_stft_roundtrip_cuda_float64, test/test_spectral_ops.py::TestFFTCUDA::test_cufft_context_cuda_complex128, test/test_spectral_ops.py::TestFFTCUDA::test_cufft_context_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_cufft_plan_cache_cuda_float64, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_fft2_cuda_complex32, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_fft2_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_fft2_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_fft2_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_fft_cuda_complex32, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_fft_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_fft_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_fft_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_fftn_cuda_complex32, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_fftn_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_fftn_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_fftn_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_hfft2_cuda_complex32, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_hfft2_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_hfft2_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_hfft2_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_hfft_cuda_complex32, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_hfft_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_hfft_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_hfft_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_hfftn_cuda_complex32, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_hfftn_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_hfftn_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_hfftn_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_ifft2_cuda_complex32, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_ifft2_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_ifft2_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_ifft2_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_ifft_cuda_complex32, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_ifft_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_ifft_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_ifft_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_ifftn_cuda_complex32, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_ifftn_cuda_complex64, 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2025-08-14T22:57:17.5467677Z 
2025-08-14T22:57:17.5467869Z Running distributions/test_distributions 1/1 ... [2025-08-14 22:57:17.531351]
2025-08-14T22:57:17.5468216Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T22:57:17.5468992Z 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'] ... [2025-08-14 22:57:17.531735]
2025-08-14T22:58:13.7351315Z 
2025-08-14T22:58:13.7355350Z distributions/test_distributions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_distributions_1.1_703ad1afbb70bfee_.log
2025-08-14T22:58:13.7417712Z 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, 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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, 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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
2025-08-14T22:58:13.7476983Z 
2025-08-14T22:58:13.7477141Z Running test_autoload_enable 1/1 ... [2025-08-14 22:58:13.735958]
2025-08-14T22:58:16.2408892Z /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.
2025-08-14T22:58:16.2410352Z   import pkg_resources
2025-08-14T22:58:16.3092732Z running install
2025-08-14T22:58:16.3094918Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-08-14T22:58:16.3095618Z !!
2025-08-14T22:58:16.3095724Z 
2025-08-14T22:58:16.3096099Z         ********************************************************************************
2025-08-14T22:58:16.3096450Z         Please avoid running ``setup.py`` directly.
2025-08-14T22:58:16.3096912Z         Instead, use pypa/build, pypa/installer or other
2025-08-14T22:58:16.3097241Z         standards-based tools.
2025-08-14T22:58:16.3097418Z 
2025-08-14T22:58:16.3097649Z         By 2025-Oct-31, you need to update your project and remove deprecated calls
2025-08-14T22:58:16.3098109Z         or your builds will no longer be supported.
2025-08-14T22:58:16.3098325Z 
2025-08-14T22:58:16.3098603Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-08-14T22:58:16.3099060Z         ********************************************************************************
2025-08-14T22:58:16.3099276Z 
2025-08-14T22:58:16.3099365Z !!
2025-08-14T22:58:16.3099561Z   self.initialize_options()
2025-08-14T22:58:16.3196785Z running build
2025-08-14T22:58:16.3197032Z running build_py
2025-08-14T22:58:16.3263487Z creating build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension
2025-08-14T22:58:16.3265730Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension
2025-08-14T22:58:16.3274959Z running build_ext
2025-08-14T22:58:16.3308922Z building 'torch_test_cpp_extension.cpp' extension
2025-08-14T22:58:16.3310439Z creating build/temp.linux-x86_64-cpython-310
2025-08-14T22:58:16.3314999Z 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 -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1016\" -DTORCH_EXTENSION_NAME=cpp -std=c++17
2025-08-14T22:58:17.3143909Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/Exceptions.h:12,
2025-08-14T22:58:17.3145076Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/python.h:11,
2025-08-14T22:58:17.3145723Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:9,
2025-08-14T22:58:17.3146196Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/extension.cpp:1:
2025-08-14T22:58:17.3149260Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘class pybind11::class_<MatrixMultiplier>’:
2025-08-14T22:58:17.3150047Z /var/lib/jenkins/workspace/test/cpp_extensions/extension.cpp:45:53:   required from here
2025-08-14T22:58:17.3151440Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h:1539:7: warning: ‘pybind11::class_<MatrixMultiplier>’ declared with greater visibility than its base ‘pybind11::detail::generic_type’ [-Wattributes]
2025-08-14T22:58:17.3152410Z  1539 | class class_ : public detail::generic_type {
2025-08-14T22:58:17.3152661Z       |       ^~~~~~
2025-08-14T22:58:17.3153810Z /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 = {}]’:
2025-08-14T22:58:17.3154909Z /var/lib/jenkins/workspace/test/cpp_extensions/extension.cpp:45:53:   required from here
2025-08-14T22:58:17.3156645Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h:1599:28: 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]
2025-08-14T22:58:17.3158381Z  1599 |             with_internals([&](internals &internals) {
2025-08-14T22:58:17.3158673Z       |                            ^~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T22:58:17.3159047Z  1600 |                 auto &instances = record.module_local ? get_local_internals().registered_types_cpp
2025-08-14T22:58:17.3159443Z       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T22:58:17.3159754Z  1601 |                                                       : internals.registered_types_cpp;
2025-08-14T22:58:17.3160029Z       |                                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T22:58:17.3160330Z  1602 |                 instances[std::type_index(typeid(type_alias))]
2025-08-14T22:58:17.3160717Z       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T22:58:17.3161022Z  1603 |                     = instances[std::type_index(typeid(type))];
2025-08-14T22:58:17.3161294Z       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T22:58:17.3161521Z  1604 |             });
2025-08-14T22:58:17.3161782Z       |             ~               
2025-08-14T22:58:17.3163425Z 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
2025-08-14T22:58:17.7740696Z building 'torch_test_cpp_extension.maia' extension
2025-08-14T22:58:17.7744642Z 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 -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1016\" -DTORCH_EXTENSION_NAME=maia -std=c++17
2025-08-14T22:58:18.6756196Z 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
2025-08-14T22:58:19.1129059Z building 'torch_test_cpp_extension.rng' extension
2025-08-14T22:58:19.1132832Z 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 -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1016\" -DTORCH_EXTENSION_NAME=rng -std=c++17
2025-08-14T22:58:20.2117693Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8,
2025-08-14T22:58:20.2119235Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-08-14T22:58:20.2120221Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Loops.h:37,
2025-08-14T22:58:20.2121351Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9,
2025-08-14T22:58:20.2122403Z                  from rng_extension.cpp:6:
2025-08-14T22:58:20.2123665Z /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]
2025-08-14T22:58:20.2124522Z  1478 | #pragma unroll
2025-08-14T22:58:20.2124778Z       | 
2025-08-14T22:58:20.2125488Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_convert.h:4,
2025-08-14T22:58:20.2126265Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1530,
2025-08-14T22:58:20.2126962Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8,
2025-08-14T22:58:20.2127799Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-08-14T22:58:20.2128410Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Loops.h:37,
2025-08-14T22:58:20.2129164Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9,
2025-08-14T22:58:20.2129786Z                  from rng_extension.cpp:6:
2025-08-14T22:58:20.2130677Z /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]
2025-08-14T22:58:20.2131391Z    59 | #pragma unroll
2025-08-14T22:58:20.2131660Z       | 
2025-08-14T22:58:20.2132640Z /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]
2025-08-14T22:58:20.2133280Z    72 | #pragma unroll
2025-08-14T22:58:20.2133461Z       | 
2025-08-14T22:58:20.2134037Z /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]
2025-08-14T22:58:20.2134719Z    87 | #pragma unroll
2025-08-14T22:58:20.2134997Z       | 
2025-08-14T22:58:20.2135385Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1531,
2025-08-14T22:58:20.2136005Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8,
2025-08-14T22:58:20.2136584Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-08-14T22:58:20.2137127Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Loops.h:37,
2025-08-14T22:58:20.2137757Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9,
2025-08-14T22:58:20.2138217Z                  from rng_extension.cpp:6:
2025-08-14T22:58:20.2138906Z /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]
2025-08-14T22:58:20.2139460Z   160 | #pragma unroll
2025-08-14T22:58:20.2139629Z       | 
2025-08-14T22:58:20.2139981Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T22:58:20.2140575Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T22:58:20.2141285Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T22:58:20.2141874Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T22:58:20.2142397Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T22:58:20.2142974Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T22:58:20.2143605Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T22:58:20.2144201Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T22:58:20.2144975Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T22:58:20.2145661Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T22:58:20.2146323Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T22:58:20.2146942Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.2147449Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.2148407Z 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]’,
2025-08-14T22:58:20.2149520Z     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,
2025-08-14T22:58:20.2150761Z     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,
2025-08-14T22:58:20.2151958Z     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,
2025-08-14T22:58:20.2153234Z     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,
2025-08-14T22:58:20.2154634Z     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,
2025-08-14T22:58:20.2158919Z     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,
2025-08-14T22:58:20.2166400Z     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:
2025-08-14T22:58:20.2170521Z /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]
2025-08-14T22:58:20.2171181Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T22:58:20.2171449Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T22:58:20.2175776Z /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}]’:
2025-08-14T22:58:20.2180280Z /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
2025-08-14T22:58:20.2181170Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T22:58:20.2181453Z       |        ^~~~~~~~
2025-08-14T22:58:20.2181884Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T22:58:20.2182584Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T22:58:20.2183255Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T22:58:20.2183859Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T22:58:20.2184396Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T22:58:20.2184968Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T22:58:20.2185682Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T22:58:20.2186465Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T22:58:20.2187330Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T22:58:20.2188098Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T22:58:20.2188834Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T22:58:20.2189479Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T22:58:20.2190069Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.2190453Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.2191055Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T22:58:20.2191585Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T22:58:20.2191841Z       |                     ^~~~
2025-08-14T22:58:20.2192242Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T22:58:20.2192830Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T22:58:20.2193390Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T22:58:20.2193927Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T22:58:20.2194435Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T22:58:20.2195002Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T22:58:20.2195642Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T22:58:20.2196249Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T22:58:20.2196871Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T22:58:20.2197520Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T22:58:20.2198201Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T22:58:20.2198772Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.2199153Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.2199849Z 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]’,
2025-08-14T22:58:20.2200968Z     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,
2025-08-14T22:58:20.2202286Z     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,
2025-08-14T22:58:20.2203493Z     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,
2025-08-14T22:58:20.2204765Z     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,
2025-08-14T22:58:20.2206216Z     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,
2025-08-14T22:58:20.2210415Z     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,
2025-08-14T22:58:20.2217819Z     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:
2025-08-14T22:58:20.2221867Z /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]
2025-08-14T22:58:20.2223211Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T22:58:20.2223552Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T22:58:20.2227917Z /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}]’:
2025-08-14T22:58:20.2232342Z /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
2025-08-14T22:58:20.2233230Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T22:58:20.2233531Z       |        ^~~~~~~~
2025-08-14T22:58:20.2233969Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T22:58:20.2234659Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T22:58:20.2235281Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T22:58:20.2235847Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T22:58:20.2236376Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T22:58:20.2236950Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T22:58:20.2237672Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T22:58:20.2238458Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T22:58:20.2239245Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T22:58:20.2240012Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T22:58:20.2240703Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T22:58:20.2241343Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T22:58:20.2242030Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.2242476Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.2243063Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T22:58:20.2243659Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T22:58:20.2243906Z       |                     ^~~~
2025-08-14T22:58:20.2244317Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T22:58:20.2244911Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T22:58:20.2245468Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T22:58:20.2246019Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T22:58:20.2246535Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T22:58:20.2247162Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T22:58:20.2247804Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T22:58:20.2248455Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T22:58:20.2249060Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T22:58:20.2249700Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T22:58:20.2250361Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T22:58:20.2250967Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.2251341Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.2252028Z 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]’,
2025-08-14T22:58:20.2253112Z     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,
2025-08-14T22:58:20.2254294Z     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,
2025-08-14T22:58:20.2255500Z     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,
2025-08-14T22:58:20.2256811Z     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,
2025-08-14T22:58:20.2258212Z     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,
2025-08-14T22:58:20.2262171Z     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,
2025-08-14T22:58:20.2269006Z     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:
2025-08-14T22:58:20.2272863Z /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]
2025-08-14T22:58:20.2273530Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T22:58:20.2273800Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T22:58:20.2277811Z /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}]’:
2025-08-14T22:58:20.2282159Z /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
2025-08-14T22:58:20.2283050Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T22:58:20.2283396Z       |        ^~~~~~~~
2025-08-14T22:58:20.2283830Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T22:58:20.2284592Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T22:58:20.2285212Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T22:58:20.2285779Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T22:58:20.2286303Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T22:58:20.2286880Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T22:58:20.2287638Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T22:58:20.2288436Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T22:58:20.2289250Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T22:58:20.2290025Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T22:58:20.2290718Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T22:58:20.2291368Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T22:58:20.2291943Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.2292345Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.2292917Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T22:58:20.2293439Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T22:58:20.2293681Z       |                     ^~~~
2025-08-14T22:58:20.2294097Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T22:58:20.2294690Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T22:58:20.2295254Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T22:58:20.2295793Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T22:58:20.2296326Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T22:58:20.2296895Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T22:58:20.2297529Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T22:58:20.2298139Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T22:58:20.2298743Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T22:58:20.2299386Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T22:58:20.2300044Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T22:58:20.2300684Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.2301105Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.2301805Z 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]’,
2025-08-14T22:58:20.2302887Z     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,
2025-08-14T22:58:20.2304069Z     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,
2025-08-14T22:58:20.2305332Z     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,
2025-08-14T22:58:20.2306651Z     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,
2025-08-14T22:58:20.2308093Z     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,
2025-08-14T22:58:20.2312336Z     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,
2025-08-14T22:58:20.2319008Z     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:
2025-08-14T22:58:20.2323015Z /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]
2025-08-14T22:58:20.2323744Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T22:58:20.2324016Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T22:58:20.2328153Z /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}]’:
2025-08-14T22:58:20.2332408Z /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
2025-08-14T22:58:20.2333311Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T22:58:20.2333605Z       |        ^~~~~~~~
2025-08-14T22:58:20.2334049Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T22:58:20.2334757Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T22:58:20.2335376Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T22:58:20.2335941Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T22:58:20.2336480Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T22:58:20.2337057Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T22:58:20.2337787Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T22:58:20.2338564Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T22:58:20.2339344Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T22:58:20.2340109Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T22:58:20.2340806Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T22:58:20.2341450Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T22:58:20.2342103Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.2342487Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.2343122Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T22:58:20.2343636Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T22:58:20.2343883Z       |                     ^~~~
2025-08-14T22:58:20.2344294Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T22:58:20.2344895Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T22:58:20.2345459Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T22:58:20.2345998Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T22:58:20.2346569Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T22:58:20.2347156Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T22:58:20.2347827Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T22:58:20.2348449Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T22:58:20.2349050Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T22:58:20.2349690Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T22:58:20.2350370Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T22:58:20.2350976Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.2351359Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.2352040Z 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]’,
2025-08-14T22:58:20.2353128Z     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,
2025-08-14T22:58:20.2354322Z     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,
2025-08-14T22:58:20.2355540Z     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,
2025-08-14T22:58:20.2356838Z     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,
2025-08-14T22:58:20.2358242Z     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,
2025-08-14T22:58:20.2362507Z     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,
2025-08-14T22:58:20.2369696Z     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:
2025-08-14T22:58:20.2373747Z /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]
2025-08-14T22:58:20.2374398Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T22:58:20.2374663Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T22:58:20.2378923Z /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}]’:
2025-08-14T22:58:20.2383381Z /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
2025-08-14T22:58:20.2384362Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T22:58:20.2384651Z       |        ^~~~~~~~
2025-08-14T22:58:20.2385097Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T22:58:20.2385795Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T22:58:20.2386406Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T22:58:20.2386984Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T22:58:20.2387515Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T22:58:20.2388124Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T22:58:20.2388850Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T22:58:20.2389665Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T22:58:20.2390448Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T22:58:20.2391215Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T22:58:20.2391902Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T22:58:20.2392569Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T22:58:20.2393158Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.2393543Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.2394128Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T22:58:20.2394650Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T22:58:20.2394892Z       |                     ^~~~
2025-08-14T22:58:20.2395293Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T22:58:20.2395884Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T22:58:20.2396461Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T22:58:20.2397002Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T22:58:20.2397523Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T22:58:20.2398098Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T22:58:20.2398732Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T22:58:20.2399347Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T22:58:20.2399954Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T22:58:20.2400645Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T22:58:20.2401363Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T22:58:20.2402012Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.2402402Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.2403091Z 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]’,
2025-08-14T22:58:20.2404168Z     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,
2025-08-14T22:58:20.2405408Z     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,
2025-08-14T22:58:20.2406632Z     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,
2025-08-14T22:58:20.2407978Z     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,
2025-08-14T22:58:20.2409397Z     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,
2025-08-14T22:58:20.2413568Z     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,
2025-08-14T22:58:20.2420258Z     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:
2025-08-14T22:58:20.2424241Z /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]
2025-08-14T22:58:20.2424894Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T22:58:20.2425174Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T22:58:20.2429293Z /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}]’:
2025-08-14T22:58:20.2433564Z /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
2025-08-14T22:58:20.2434457Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T22:58:20.2434757Z       |        ^~~~~~~~
2025-08-14T22:58:20.2435199Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T22:58:20.2435898Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T22:58:20.2448896Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T22:58:20.2449628Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T22:58:20.2450186Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T22:58:20.2450770Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T22:58:20.2451508Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T22:58:20.2452281Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T22:58:20.2453060Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T22:58:20.2453826Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T22:58:20.2454614Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T22:58:20.2455256Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T22:58:20.2455885Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.2456276Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.2456948Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T22:58:20.2457477Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T22:58:20.2457737Z       |                     ^~~~
2025-08-14T22:58:20.2458151Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T22:58:20.2458751Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T22:58:20.2459362Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T22:58:20.2459921Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T22:58:20.2460475Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T22:58:20.2461046Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T22:58:20.2461671Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T22:58:20.2462271Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T22:58:20.2462869Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T22:58:20.2463515Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T22:58:20.2464166Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T22:58:20.2464749Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.2465138Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.2465857Z 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]’,
2025-08-14T22:58:20.2466946Z     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,
2025-08-14T22:58:20.2468122Z     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,
2025-08-14T22:58:20.2469340Z     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,
2025-08-14T22:58:20.2470616Z     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,
2025-08-14T22:58:20.2471997Z     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,
2025-08-14T22:58:20.2476312Z     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,
2025-08-14T22:58:20.2483549Z     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:
2025-08-14T22:58:20.2487610Z /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]
2025-08-14T22:58:20.2488272Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T22:58:20.2488550Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T22:58:20.2492788Z /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}]’:
2025-08-14T22:58:20.2497317Z /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
2025-08-14T22:58:20.2498214Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T22:58:20.2498512Z       |        ^~~~~~~~
2025-08-14T22:58:20.2498962Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T22:58:20.2499660Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T22:58:20.2500315Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T22:58:20.2500885Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T22:58:20.2501413Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T22:58:20.2502026Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T22:58:20.2502746Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T22:58:20.2503529Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T22:58:20.2504317Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T22:58:20.2505096Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T22:58:20.2505801Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T22:58:20.2506448Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T22:58:20.2507027Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.2507411Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.2507989Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T22:58:20.2508509Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T22:58:20.2508758Z       |                     ^~~~
2025-08-14T22:58:20.2509182Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T22:58:20.2509771Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T22:58:20.2510331Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T22:58:20.2510870Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T22:58:20.2511383Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T22:58:20.2512212Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T22:58:20.2512862Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T22:58:20.2513734Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T22:58:20.2514457Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T22:58:20.2515122Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T22:58:20.2515793Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T22:58:20.2516375Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.2516779Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.2517501Z 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]’,
2025-08-14T22:58:20.2518662Z     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,
2025-08-14T22:58:20.2519912Z     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,
2025-08-14T22:58:20.2521131Z     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,
2025-08-14T22:58:20.2522493Z     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,
2025-08-14T22:58:20.2523902Z     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,
2025-08-14T22:58:20.2527846Z     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,
2025-08-14T22:58:20.2534504Z     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:
2025-08-14T22:58:20.2538425Z /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]
2025-08-14T22:58:20.2539083Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T22:58:20.2539354Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T22:58:20.2543458Z /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}]’:
2025-08-14T22:58:20.2547719Z /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
2025-08-14T22:58:20.2548614Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T22:58:20.2548908Z       |        ^~~~~~~~
2025-08-14T22:58:20.2549352Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T22:58:20.2550046Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T22:58:20.2550690Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T22:58:20.2551250Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T22:58:20.2551782Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T22:58:20.2552354Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T22:58:20.2553077Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T22:58:20.2553855Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T22:58:20.2554637Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T22:58:20.2555480Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T22:58:20.2556225Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T22:58:20.2556866Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T22:58:20.2557448Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.2557829Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.2558408Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T22:58:20.2558920Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T22:58:20.2559186Z       |                     ^~~~
2025-08-14T22:58:20.2559627Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T22:58:20.2560226Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T22:58:20.2560814Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T22:58:20.2561351Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T22:58:20.2561863Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T22:58:20.2562521Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T22:58:20.2563168Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T22:58:20.2563786Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T22:58:20.2564397Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T22:58:20.2565042Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T22:58:20.2565705Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T22:58:20.2566301Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.2566687Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.2567385Z 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]’,
2025-08-14T22:58:20.2568466Z     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,
2025-08-14T22:58:20.2569666Z     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,
2025-08-14T22:58:20.2570869Z     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,
2025-08-14T22:58:20.2572156Z     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,
2025-08-14T22:58:20.2573606Z     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,
2025-08-14T22:58:20.2577626Z     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,
2025-08-14T22:58:20.2584312Z     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:
2025-08-14T22:58:20.2588176Z /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]
2025-08-14T22:58:20.2588826Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T22:58:20.2589096Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T22:58:20.2593110Z /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}]’:
2025-08-14T22:58:20.2597407Z /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
2025-08-14T22:58:20.2598298Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T22:58:20.2598592Z       |        ^~~~~~~~
2025-08-14T22:58:20.2599021Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T22:58:20.2599711Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T22:58:20.2600372Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T22:58:20.2600942Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T22:58:20.2601495Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T22:58:20.2602144Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T22:58:20.2602869Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T22:58:20.2603658Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T22:58:20.2604444Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T22:58:20.2605204Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T22:58:20.2605900Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T22:58:20.2606545Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T22:58:20.2607118Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.2607511Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.2608096Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T22:58:20.2608624Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T22:58:20.2608874Z       |                     ^~~~
2025-08-14T22:58:20.2609279Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T22:58:20.2609886Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T22:58:20.2610444Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T22:58:20.2610978Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T22:58:20.2611489Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T22:58:20.2612331Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T22:58:20.2613029Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T22:58:20.2613739Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T22:58:20.2614413Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T22:58:20.2615051Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T22:58:20.2615719Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T22:58:20.2616296Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.2616684Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.2617384Z 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]’,
2025-08-14T22:58:20.2618527Z     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,
2025-08-14T22:58:20.2619798Z     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,
2025-08-14T22:58:20.2621006Z     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,
2025-08-14T22:58:20.2622291Z     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,
2025-08-14T22:58:20.2623702Z     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,
2025-08-14T22:58:20.2627676Z     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,
2025-08-14T22:58:20.2634328Z     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:
2025-08-14T22:58:20.2638244Z /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]
2025-08-14T22:58:20.2638906Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T22:58:20.2639192Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T22:58:20.2643339Z /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}]’:
2025-08-14T22:58:20.2647605Z /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
2025-08-14T22:58:20.2648487Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T22:58:20.2648776Z       |        ^~~~~~~~
2025-08-14T22:58:20.2649218Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T22:58:20.2649913Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T22:58:20.2650543Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T22:58:20.2651108Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T22:58:20.2651630Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T22:58:20.2652202Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T22:58:20.2652930Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T22:58:20.2653716Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T22:58:20.2654562Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T22:58:20.2655372Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T22:58:20.2656063Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T22:58:20.2656713Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T22:58:20.2657304Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.2657696Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.2658278Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T22:58:20.2658801Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T22:58:20.2659097Z       |                     ^~~~
2025-08-14T22:58:20.2659508Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T22:58:20.2660102Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T22:58:20.2660693Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T22:58:20.2661237Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T22:58:20.2661758Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T22:58:20.2662334Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T22:58:20.2662968Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T22:58:20.2663577Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T22:58:20.2664183Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T22:58:20.2664840Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T22:58:20.2665506Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T22:58:20.2666099Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.2666477Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.2667170Z 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]’,
2025-08-14T22:58:20.2668253Z     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,
2025-08-14T22:58:20.2669442Z     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,
2025-08-14T22:58:20.2670647Z     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,
2025-08-14T22:58:20.2671928Z     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,
2025-08-14T22:58:20.2673372Z     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,
2025-08-14T22:58:20.2677448Z     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,
2025-08-14T22:58:20.2684115Z     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:
2025-08-14T22:58:20.2687947Z /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]
2025-08-14T22:58:20.2688612Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T22:58:20.2688890Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T22:58:20.2692894Z /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}]’:
2025-08-14T22:58:20.2697496Z /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
2025-08-14T22:58:20.2698392Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T22:58:20.2698700Z       |        ^~~~~~~~
2025-08-14T22:58:20.2699157Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T22:58:20.2699940Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T22:58:20.2700557Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T22:58:20.2701132Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T22:58:20.2701726Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T22:58:20.2702328Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T22:58:20.2703045Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T22:58:20.2703834Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T22:58:20.2704622Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T22:58:20.2705387Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T22:58:20.2706081Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T22:58:20.2706734Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T22:58:20.2707317Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.2707704Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.2708290Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T22:58:20.2708821Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T22:58:20.2709068Z       |                     ^~~~
2025-08-14T22:58:20.2709474Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T22:58:20.2710069Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T22:58:20.2710629Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T22:58:20.2711188Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T22:58:20.2711900Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T22:58:20.2712638Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T22:58:20.2713400Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T22:58:20.2714076Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T22:58:20.2714686Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T22:58:20.2715328Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T22:58:20.2715989Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T22:58:20.2716575Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.2716951Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.2717736Z 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]’,
2025-08-14T22:58:20.2718830Z     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,
2025-08-14T22:58:20.2720066Z     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,
2025-08-14T22:58:20.2721275Z     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,
2025-08-14T22:58:20.2722632Z     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,
2025-08-14T22:58:20.2724026Z     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,
2025-08-14T22:58:20.2727976Z     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,
2025-08-14T22:58:20.2734574Z     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:
2025-08-14T22:58:20.2738500Z /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]
2025-08-14T22:58:20.2739154Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T22:58:20.2739469Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T22:58:20.2743535Z /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}]’:
2025-08-14T22:58:20.2747776Z /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
2025-08-14T22:58:20.2748668Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T22:58:20.2748968Z       |        ^~~~~~~~
2025-08-14T22:58:20.2749401Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T22:58:20.2750105Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T22:58:20.2750725Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T22:58:20.2751298Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T22:58:20.2751819Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T22:58:20.2752392Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T22:58:20.2753124Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T22:58:20.2753908Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T22:58:20.2754753Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T22:58:20.2755576Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T22:58:20.2756269Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T22:58:20.2756915Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T22:58:20.2757488Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.2757869Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.2758448Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T22:58:20.2759017Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T22:58:20.2759272Z       |                     ^~~~
2025-08-14T22:58:20.2759680Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T22:58:20.2760308Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T22:58:20.2760875Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T22:58:20.2761411Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T22:58:20.2762020Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T22:58:20.2762604Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T22:58:20.2763246Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T22:58:20.2763865Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T22:58:20.2764477Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T22:58:20.2765125Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T22:58:20.2765789Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T22:58:20.2766365Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.2766758Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.2767462Z 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]’,
2025-08-14T22:58:20.2768553Z     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,
2025-08-14T22:58:20.2769789Z     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,
2025-08-14T22:58:20.2771006Z     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,
2025-08-14T22:58:20.2772311Z     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,
2025-08-14T22:58:20.2773781Z     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,
2025-08-14T22:58:20.2778124Z     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,
2025-08-14T22:58:20.2785213Z     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:
2025-08-14T22:58:20.2789268Z /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]
2025-08-14T22:58:20.2789921Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T22:58:20.2790200Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T22:58:20.2794411Z /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}]’:
2025-08-14T22:58:20.2798911Z /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
2025-08-14T22:58:20.2799797Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T22:58:20.2800133Z       |        ^~~~~~~~
2025-08-14T22:58:20.2800565Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T22:58:20.2801258Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T22:58:20.2801955Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T22:58:20.2802523Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T22:58:20.2803039Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T22:58:20.2803616Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T22:58:20.2804366Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T22:58:20.2805166Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T22:58:20.2805951Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T22:58:20.2806719Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T22:58:20.2807408Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T22:58:20.2808071Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T22:58:20.2808657Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.2809052Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.2809642Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T22:58:20.2810164Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T22:58:20.2810410Z       |                     ^~~~
2025-08-14T22:58:20.2810818Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T22:58:20.2811429Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T22:58:20.2812156Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T22:58:20.2812696Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T22:58:20.2813307Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T22:58:20.2813892Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T22:58:20.2814595Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T22:58:20.2815207Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T22:58:20.2815815Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T22:58:20.2816460Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T22:58:20.2817130Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T22:58:20.2817761Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.2818152Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.2818918Z 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]’,
2025-08-14T22:58:20.2820017Z     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,
2025-08-14T22:58:20.2821200Z     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,
2025-08-14T22:58:20.2822429Z     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,
2025-08-14T22:58:20.2823744Z     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,
2025-08-14T22:58:20.2825150Z     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,
2025-08-14T22:58:20.2829435Z     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,
2025-08-14T22:58:20.2836642Z     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:
2025-08-14T22:58:20.2840846Z /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]
2025-08-14T22:58:20.2841501Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T22:58:20.2841775Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T22:58:20.2846184Z /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}]’:
2025-08-14T22:58:20.2850735Z /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
2025-08-14T22:58:20.2851637Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T22:58:20.2851934Z       |        ^~~~~~~~
2025-08-14T22:58:20.2852369Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T22:58:20.2853060Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T22:58:20.2853673Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T22:58:20.2854237Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T22:58:20.2854830Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T22:58:20.2855459Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T22:58:20.2856188Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T22:58:20.2856973Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T22:58:20.2857757Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T22:58:20.2858542Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T22:58:20.2859287Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T22:58:20.2859942Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T22:58:20.2860562Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.2860950Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.2861543Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T22:58:20.2862063Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T22:58:20.2862308Z       |                     ^~~~
2025-08-14T22:58:20.2862721Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T22:58:20.2863333Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T22:58:20.2863899Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T22:58:20.2864443Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T22:58:20.2864964Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T22:58:20.2865547Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T22:58:20.2866187Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T22:58:20.2866799Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T22:58:20.2867420Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T22:58:20.2868070Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T22:58:20.2868743Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T22:58:20.2869336Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.2869727Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.2870420Z 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]’,
2025-08-14T22:58:20.2871506Z     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,
2025-08-14T22:58:20.2872750Z     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,
2025-08-14T22:58:20.2874009Z     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,
2025-08-14T22:58:20.2875314Z     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,
2025-08-14T22:58:20.2876720Z     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,
2025-08-14T22:58:20.2881066Z     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,
2025-08-14T22:58:20.2888341Z     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:
2025-08-14T22:58:20.2892417Z /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]
2025-08-14T22:58:20.2893071Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T22:58:20.2893348Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T22:58:20.2897750Z /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}]’:
2025-08-14T22:58:20.2902309Z /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
2025-08-14T22:58:20.2903215Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T22:58:20.2903511Z       |        ^~~~~~~~
2025-08-14T22:58:20.2903946Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T22:58:20.2904651Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T22:58:20.2905264Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T22:58:20.2905853Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T22:58:20.2906383Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T22:58:20.2906965Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T22:58:20.2907693Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T22:58:20.2908489Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T22:58:20.2909281Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T22:58:20.2910060Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T22:58:20.2910754Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T22:58:20.2911407Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T22:58:20.2912141Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.2912523Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.2913112Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T22:58:20.2913712Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T22:58:20.2913956Z       |                     ^~~~
2025-08-14T22:58:20.2914431Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T22:58:20.2915039Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T22:58:20.2915610Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T22:58:20.2916149Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T22:58:20.2916667Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T22:58:20.2917264Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T22:58:20.2917966Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T22:58:20.2918597Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T22:58:20.2919284Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T22:58:20.2919937Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T22:58:20.2920596Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T22:58:20.2921170Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.2921553Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.2922316Z 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]’,
2025-08-14T22:58:20.2923405Z     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,
2025-08-14T22:58:20.2924584Z     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,
2025-08-14T22:58:20.2925804Z     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,
2025-08-14T22:58:20.2927105Z     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,
2025-08-14T22:58:20.2928514Z     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,
2025-08-14T22:58:20.2932787Z     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,
2025-08-14T22:58:20.2940096Z     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:
2025-08-14T22:58:20.2944208Z /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]
2025-08-14T22:58:20.2944863Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T22:58:20.2945131Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T22:58:20.2949435Z /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}]’:
2025-08-14T22:58:20.2953920Z /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
2025-08-14T22:58:20.2954868Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T22:58:20.2955179Z       |        ^~~~~~~~
2025-08-14T22:58:20.2955652Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T22:58:20.2956347Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T22:58:20.2956967Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T22:58:20.2957530Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T22:58:20.2958055Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T22:58:20.2958643Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T22:58:20.2959421Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T22:58:20.2960224Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T22:58:20.2961044Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T22:58:20.2961843Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T22:58:20.2962595Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T22:58:20.2963248Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T22:58:20.2963833Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.2964226Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.2964812Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T22:58:20.2965342Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T22:58:20.2965589Z       |                     ^~~~
2025-08-14T22:58:20.2966011Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T22:58:20.2966612Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T22:58:20.2967181Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T22:58:20.2967729Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T22:58:20.2968253Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T22:58:20.2968837Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T22:58:20.2969474Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T22:58:20.2970086Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T22:58:20.2970707Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T22:58:20.2971352Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T22:58:20.2972074Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T22:58:20.2972671Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.2973098Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.2973792Z 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]’,
2025-08-14T22:58:20.2974880Z     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,
2025-08-14T22:58:20.2976064Z     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,
2025-08-14T22:58:20.2977329Z     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,
2025-08-14T22:58:20.2978684Z     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,
2025-08-14T22:58:20.2980097Z     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,
2025-08-14T22:58:20.2984366Z     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,
2025-08-14T22:58:20.2991584Z     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:
2025-08-14T22:58:20.2995775Z /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]
2025-08-14T22:58:20.2996427Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T22:58:20.2996700Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T22:58:20.3001117Z /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}]’:
2025-08-14T22:58:20.3005676Z /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
2025-08-14T22:58:20.3006576Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T22:58:20.3006879Z       |        ^~~~~~~~
2025-08-14T22:58:20.3007317Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T22:58:20.3008028Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T22:58:20.3008645Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T22:58:20.3009226Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T22:58:20.3009750Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T22:58:20.3010340Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T22:58:20.3011073Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T22:58:20.3012010Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T22:58:20.3012805Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T22:58:20.3013586Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T22:58:20.3014388Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T22:58:20.3015101Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T22:58:20.3015687Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.3016078Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.3016676Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T22:58:20.3017204Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T22:58:20.3017445Z       |                     ^~~~
2025-08-14T22:58:20.3017854Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T22:58:20.3018508Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T22:58:20.3019085Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T22:58:20.3019713Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T22:58:20.3020240Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T22:58:20.3020822Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T22:58:20.3021464Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T22:58:20.3022079Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T22:58:20.3022700Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T22:58:20.3023368Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T22:58:20.3024057Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T22:58:20.3024649Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.3025041Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.3025750Z 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]’,
2025-08-14T22:58:20.3026850Z     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,
2025-08-14T22:58:20.3028048Z     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,
2025-08-14T22:58:20.3029278Z     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,
2025-08-14T22:58:20.3030598Z     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,
2025-08-14T22:58:20.3032002Z     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,
2025-08-14T22:58:20.3036371Z     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,
2025-08-14T22:58:20.3043742Z     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:
2025-08-14T22:58:20.3047871Z /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]
2025-08-14T22:58:20.3048535Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T22:58:20.3048811Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T22:58:20.3053163Z /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}]’:
2025-08-14T22:58:20.3057734Z /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
2025-08-14T22:58:20.3058638Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T22:58:20.3058937Z       |        ^~~~~~~~
2025-08-14T22:58:20.3059378Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T22:58:20.3060133Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T22:58:20.3060763Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T22:58:20.3061369Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T22:58:20.3061897Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T22:58:20.3062474Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T22:58:20.3063209Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T22:58:20.3064001Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T22:58:20.3064795Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T22:58:20.3065574Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T22:58:20.3066276Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T22:58:20.3066930Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T22:58:20.3067510Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.3067906Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.3068504Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T22:58:20.3069030Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T22:58:20.3069278Z       |                     ^~~~
2025-08-14T22:58:20.3069685Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T22:58:20.3070289Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T22:58:20.3070852Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T22:58:20.3071396Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T22:58:20.3071908Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T22:58:20.3072486Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T22:58:20.3073193Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T22:58:20.3073872Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T22:58:20.3074491Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T22:58:20.3075154Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T22:58:20.3075823Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T22:58:20.3076405Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.3076792Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.3077529Z 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]’,
2025-08-14T22:58:20.3078668Z     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,
2025-08-14T22:58:20.3079862Z     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,
2025-08-14T22:58:20.3081081Z     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,
2025-08-14T22:58:20.3082470Z     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,
2025-08-14T22:58:20.3083890Z     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,
2025-08-14T22:58:20.3088131Z     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,
2025-08-14T22:58:20.3095312Z     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:
2025-08-14T22:58:20.3099512Z /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]
2025-08-14T22:58:20.3100190Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T22:58:20.3100461Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T22:58:20.3104807Z /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}]’:
2025-08-14T22:58:20.3109313Z /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
2025-08-14T22:58:20.3110247Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T22:58:20.3110599Z       |        ^~~~~~~~
2025-08-14T22:58:20.3111032Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T22:58:20.3111893Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T22:58:20.3112525Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T22:58:20.3113102Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T22:58:20.3113629Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T22:58:20.3114310Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T22:58:20.3115059Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T22:58:20.3115917Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T22:58:20.3116707Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T22:58:20.3117484Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T22:58:20.3118191Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T22:58:20.3118840Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T22:58:20.3119427Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.3119820Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.3120414Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T22:58:20.3120939Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T22:58:20.3121184Z       |                     ^~~~
2025-08-14T22:58:20.3121594Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T22:58:20.3122260Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T22:58:20.3122818Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T22:58:20.3123380Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T22:58:20.3123893Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T22:58:20.3124478Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T22:58:20.3125113Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T22:58:20.3125742Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T22:58:20.3126360Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T22:58:20.3127007Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T22:58:20.3127760Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T22:58:20.3128408Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.3128793Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.3129513Z 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]’,
2025-08-14T22:58:20.3130611Z     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,
2025-08-14T22:58:20.3131800Z     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,
2025-08-14T22:58:20.3133076Z     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,
2025-08-14T22:58:20.3134428Z     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,
2025-08-14T22:58:20.3135849Z     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,
2025-08-14T22:58:20.3140124Z     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,
2025-08-14T22:58:20.3147360Z     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:
2025-08-14T22:58:20.3151578Z /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]
2025-08-14T22:58:20.3152231Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T22:58:20.3152509Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T22:58:20.3156912Z /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}]’:
2025-08-14T22:58:20.3161422Z /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
2025-08-14T22:58:20.3162384Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T22:58:20.3162688Z       |        ^~~~~~~~
2025-08-14T22:58:20.3163119Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T22:58:20.3163821Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T22:58:20.3164438Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T22:58:20.3165032Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T22:58:20.3165564Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T22:58:20.3166149Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T22:58:20.3166881Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T22:58:20.3167674Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T22:58:20.3168463Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T22:58:20.3169285Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T22:58:20.3169986Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T22:58:20.3170690Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T22:58:20.3171266Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.3171666Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.3172244Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T22:58:20.3172769Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T22:58:20.3173015Z       |                     ^~~~
2025-08-14T22:58:20.3173422Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T22:58:20.3174071Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T22:58:20.3174638Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T22:58:20.3175224Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T22:58:20.3175744Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T22:58:20.3176323Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T22:58:20.3176956Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T22:58:20.3177587Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T22:58:20.3178213Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T22:58:20.3178861Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T22:58:20.3179522Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T22:58:20.3180115Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.3180503Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.3181192Z 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]’,
2025-08-14T22:58:20.3182300Z     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,
2025-08-14T22:58:20.3183489Z     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,
2025-08-14T22:58:20.3184721Z     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,
2025-08-14T22:58:20.3186025Z     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,
2025-08-14T22:58:20.3187430Z     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,
2025-08-14T22:58:20.3191802Z     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,
2025-08-14T22:58:20.3199033Z     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:
2025-08-14T22:58:20.3203171Z /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]
2025-08-14T22:58:20.3203821Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T22:58:20.3204098Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T22:58:20.3208415Z /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}]’:
2025-08-14T22:58:20.3213195Z /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
2025-08-14T22:58:20.3214091Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T22:58:20.3214395Z       |        ^~~~~~~~
2025-08-14T22:58:20.3214836Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T22:58:20.3215619Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T22:58:20.3216269Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T22:58:20.3216909Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T22:58:20.3217440Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T22:58:20.3218022Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T22:58:20.3218758Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T22:58:20.3219552Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T22:58:20.3220356Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T22:58:20.3221146Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T22:58:20.3221856Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T22:58:20.3222512Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T22:58:20.3223094Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.3223493Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.3224074Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T22:58:20.3224608Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T22:58:20.3224860Z       |                     ^~~~
2025-08-14T22:58:20.3225270Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T22:58:20.3235949Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T22:58:20.3236630Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T22:58:20.3237199Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T22:58:20.3237724Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T22:58:20.3238468Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T22:58:20.3239104Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T22:58:20.3239803Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T22:58:20.3240405Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T22:58:20.3241038Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T22:58:20.3241685Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T22:58:20.3242360Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.3243334Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.3244124Z 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]’,
2025-08-14T22:58:20.3245265Z     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,
2025-08-14T22:58:20.3246443Z     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,
2025-08-14T22:58:20.3247641Z     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,
2025-08-14T22:58:20.3248922Z     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,
2025-08-14T22:58:20.3250325Z     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,
2025-08-14T22:58:20.3254223Z     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,
2025-08-14T22:58:20.3260787Z     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:
2025-08-14T22:58:20.3264770Z /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]
2025-08-14T22:58:20.3265457Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T22:58:20.3265730Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T22:58:20.3269782Z /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}]’:
2025-08-14T22:58:20.3274040Z /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
2025-08-14T22:58:20.3274924Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T22:58:20.3275227Z       |        ^~~~~~~~
2025-08-14T22:58:20.3275668Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T22:58:20.3276364Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T22:58:20.3276973Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T22:58:20.3277540Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T22:58:20.3278064Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T22:58:20.3278640Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T22:58:20.3279360Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T22:58:20.3280213Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T22:58:20.3281043Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T22:58:20.3281829Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T22:58:20.3282569Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T22:58:20.3283224Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T22:58:20.3283803Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.3284205Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.3284830Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T22:58:20.3285361Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T22:58:20.3285612Z       |                     ^~~~
2025-08-14T22:58:20.3286056Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T22:58:20.3286646Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T22:58:20.3286888Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T22:58:20.3287113Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T22:58:20.3287323Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T22:58:20.3287623Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T22:58:20.3287891Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T22:58:20.3288156Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T22:58:20.3288416Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T22:58:20.3288715Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T22:58:20.3289003Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T22:58:20.3289222Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.3289318Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.3289867Z 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]’,
2025-08-14T22:58:20.3290473Z     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,
2025-08-14T22:58:20.3291113Z     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,
2025-08-14T22:58:20.3291745Z     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,
2025-08-14T22:58:20.3292524Z     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,
2025-08-14T22:58:20.3293330Z     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,
2025-08-14T22:58:20.3297008Z     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,
2025-08-14T22:58:20.3301041Z     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:
2025-08-14T22:58:20.3301622Z /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]
2025-08-14T22:58:20.3301739Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T22:58:20.3301827Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T22:58:20.3305975Z /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}]’:
2025-08-14T22:58:20.3306978Z /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
2025-08-14T22:58:20.3307141Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T22:58:20.3307210Z       |        ^~~~~~~~
2025-08-14T22:58:20.3307567Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T22:58:20.3307863Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T22:58:20.3308115Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T22:58:20.3308347Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T22:58:20.3308555Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T22:58:20.3308848Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T22:58:20.3309209Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T22:58:20.3309575Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T22:58:20.3309936Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T22:58:20.3310264Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T22:58:20.3310545Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T22:58:20.3310826Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T22:58:20.3311055Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.3311139Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.3311577Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T22:58:20.3311878Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T22:58:20.3311953Z       |                     ^~~~
2025-08-14T22:58:20.3312237Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T22:58:20.3312478Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T22:58:20.3312813Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T22:58:20.3313033Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T22:58:20.3313306Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T22:58:20.3313604Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T22:58:20.3313871Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T22:58:20.3314136Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T22:58:20.3314393Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T22:58:20.3314756Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T22:58:20.3315047Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T22:58:20.3315269Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.3315440Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.3316001Z 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]’,
2025-08-14T22:58:20.3316596Z     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,
2025-08-14T22:58:20.3317240Z     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,
2025-08-14T22:58:20.3317866Z     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,
2025-08-14T22:58:20.3318598Z     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,
2025-08-14T22:58:20.3319346Z     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,
2025-08-14T22:58:20.3322990Z     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,
2025-08-14T22:58:20.3327149Z     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:
2025-08-14T22:58:20.3327756Z /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]
2025-08-14T22:58:20.3327875Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T22:58:20.3327961Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T22:58:20.3332120Z /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}]’:
2025-08-14T22:58:20.3333004Z /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
2025-08-14T22:58:20.3333154Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T22:58:20.3333218Z       |        ^~~~~~~~
2025-08-14T22:58:20.3333545Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T22:58:20.3333838Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T22:58:20.3334153Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T22:58:20.3334391Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T22:58:20.3334657Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T22:58:20.3334956Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T22:58:20.3335311Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T22:58:20.3335660Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T22:58:20.3336021Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T22:58:20.3336386Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T22:58:20.3336684Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T22:58:20.3336998Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T22:58:20.3337223Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.3337304Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.3337718Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T22:58:20.3337832Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T22:58:20.3337902Z       |                     ^~~~
2025-08-14T22:58:20.3338184Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T22:58:20.3338428Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T22:58:20.3338665Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T22:58:20.3338894Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T22:58:20.3339102Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T22:58:20.3339391Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T22:58:20.3339655Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T22:58:20.3339933Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T22:58:20.3340202Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T22:58:20.3340497Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T22:58:20.3340780Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T22:58:20.3340998Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.3341079Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.3341617Z 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]’,
2025-08-14T22:58:20.3342264Z     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,
2025-08-14T22:58:20.3342964Z     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,
2025-08-14T22:58:20.3343592Z     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,
2025-08-14T22:58:20.3344313Z     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,
2025-08-14T22:58:20.3345112Z     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,
2025-08-14T22:58:20.3348718Z     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,
2025-08-14T22:58:20.3352772Z     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:
2025-08-14T22:58:20.3353336Z /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]
2025-08-14T22:58:20.3353502Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T22:58:20.3353585Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T22:58:20.3357849Z /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}]’:
2025-08-14T22:58:20.3358734Z /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
2025-08-14T22:58:20.3358891Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T22:58:20.3358966Z       |        ^~~~~~~~
2025-08-14T22:58:20.3359304Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T22:58:20.3359597Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T22:58:20.3359841Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T22:58:20.3360087Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T22:58:20.3360294Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T22:58:20.3360588Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T22:58:20.3360950Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T22:58:20.3361308Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T22:58:20.3361679Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T22:58:20.3362056Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T22:58:20.3362348Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T22:58:20.3362625Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T22:58:20.3362853Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.3362994Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.3363417Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T22:58:20.3363576Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T22:58:20.3363645Z       |                     ^~~~
2025-08-14T22:58:20.3363926Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T22:58:20.3364174Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T22:58:20.3364408Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T22:58:20.3364632Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T22:58:20.3364845Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T22:58:20.3365168Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T22:58:20.3365444Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T22:58:20.3365736Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T22:58:20.3366003Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T22:58:20.3366301Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T22:58:20.3366580Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T22:58:20.3366807Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.3366887Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.3367423Z 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]’,
2025-08-14T22:58:20.3368016Z     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,
2025-08-14T22:58:20.3368659Z     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,
2025-08-14T22:58:20.3369282Z     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,
2025-08-14T22:58:20.3370014Z     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,
2025-08-14T22:58:20.3370764Z     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,
2025-08-14T22:58:20.3374047Z     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,
2025-08-14T22:58:20.3377948Z     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:
2025-08-14T22:58:20.3378536Z /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]
2025-08-14T22:58:20.3378655Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T22:58:20.3378741Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T22:58:20.3382578Z /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}]’:
2025-08-14T22:58:20.3383459Z /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
2025-08-14T22:58:20.3383611Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T22:58:20.3383718Z       |        ^~~~~~~~
2025-08-14T22:58:20.3384047Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T22:58:20.3384387Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T22:58:20.3384632Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T22:58:20.3384874Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T22:58:20.3385080Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T22:58:20.3385366Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T22:58:20.3385766Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T22:58:20.3386118Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T22:58:20.3386523Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T22:58:20.3386851Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T22:58:20.3387140Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T22:58:20.3387429Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T22:58:20.3387646Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.3387742Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.3388158Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T22:58:20.3388261Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T22:58:20.3388341Z       |                     ^~~~
2025-08-14T22:58:20.3388616Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T22:58:20.3388856Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T22:58:20.3389099Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T22:58:20.3389317Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T22:58:20.3389539Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T22:58:20.3389833Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T22:58:20.3390105Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T22:58:20.3390378Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T22:58:20.3390638Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T22:58:20.3390946Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T22:58:20.3391222Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T22:58:20.3391488Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.3391613Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.3392149Z 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]’,
2025-08-14T22:58:20.3392752Z     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,
2025-08-14T22:58:20.3393386Z     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,
2025-08-14T22:58:20.3394064Z     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,
2025-08-14T22:58:20.3394791Z     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,
2025-08-14T22:58:20.3395594Z     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,
2025-08-14T22:58:20.3399170Z     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,
2025-08-14T22:58:20.3403294Z     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:
2025-08-14T22:58:20.3403957Z /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]
2025-08-14T22:58:20.3404075Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T22:58:20.3404168Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T22:58:20.3408391Z /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}]’:
2025-08-14T22:58:20.3409288Z /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
2025-08-14T22:58:20.3409441Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T22:58:20.3409519Z       |        ^~~~~~~~
2025-08-14T22:58:20.3409849Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T22:58:20.3410141Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T22:58:20.3410383Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T22:58:20.3410631Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T22:58:20.3410853Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T22:58:20.3411142Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T22:58:20.3411511Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T22:58:20.3412066Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T22:58:20.3412428Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T22:58:20.3412761Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T22:58:20.3413144Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T22:58:20.3413435Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T22:58:20.3413722Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T22:58:20.3413812Z                  from rng_extension.cpp:1:
2025-08-14T22:58:20.3414244Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T22:58:20.3414349Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T22:58:20.3414424Z       |                     ^~~~
2025-08-14T22:58:20.3415893Z 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
2025-08-14T22:58:20.6927811Z building 'torch_test_cpp_extension.cuda' extension
2025-08-14T22:58:20.6933399Z 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 -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1016\" -DTORCH_EXTENSION_NAME=cuda -std=c++17
2025-08-14T22:58:21.6458947Z /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 -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1016\" -DTORCH_EXTENSION_NAME=cuda -gencode=arch=compute_50,code=sm_50 -gencode=arch=compute_52,code=compute_52 -gencode=arch=compute_52,code=sm_52 -std=c++17
2025-08-14T22:58:21.6470855Z nvcc warning : Support for offline compilation for architectures prior to '<compute/sm/lto>_75' will be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
2025-08-14T22:58:42.4543273Z /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 -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1016\" -DTORCH_EXTENSION_NAME=cuda -gencode=arch=compute_50,code=sm_50 -gencode=arch=compute_52,code=compute_52 -gencode=arch=compute_52,code=sm_52 -std=c++17
2025-08-14T22:58:42.4554622Z nvcc warning : Support for offline compilation for architectures prior to '<compute/sm/lto>_75' will be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
2025-08-14T22:59:03.2860823Z 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
2025-08-14T22:59:03.7909074Z building 'torch_test_cpp_extension.torch_library' extension
2025-08-14T22:59:03.7913636Z /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 -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1016\" -DTORCH_EXTENSION_NAME=torch_library -gencode=arch=compute_50,code=sm_50 -gencode=arch=compute_52,code=compute_52 -gencode=arch=compute_52,code=sm_52 -std=c++17
2025-08-14T22:59:03.7929007Z nvcc warning : Support for offline compilation for architectures prior to '<compute/sm/lto>_75' will be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
2025-08-14T22:59:49.9158974Z 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
2025-08-14T22:59:50.2473337Z building 'torch_test_cpp_extension.cublas_extension' extension
2025-08-14T22:59:50.2477024Z 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 -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1016\" -DTORCH_EXTENSION_NAME=cublas_extension -std=c++17
2025-08-14T22:59:51.1826795Z 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
2025-08-14T22:59:51.4228180Z building 'torch_test_cpp_extension.cusolver_extension' extension
2025-08-14T22:59:51.4231875Z 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 -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1016\" -DTORCH_EXTENSION_NAME=cusolver_extension -std=c++17
2025-08-14T22:59:52.3217072Z 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
2025-08-14T22:59:52.5615730Z running install_lib
2025-08-14T22:59:52.5688348Z creating install/opt/conda/envs/py_3.10/lib/python3.10/site-packages
2025-08-14T22:59:52.5692693Z creating install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_test_cpp_extension
2025-08-14T22:59:52.5694205Z 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
2025-08-14T22:59:52.5696876Z 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
2025-08-14T22:59:52.5779107Z 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
2025-08-14T22:59:52.5864087Z 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
2025-08-14T22:59:52.5951664Z 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
2025-08-14T22:59:52.6028053Z 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
2025-08-14T22:59:52.6031569Z 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
2025-08-14T22:59:52.6034486Z 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
2025-08-14T22:59:52.6041077Z 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
2025-08-14T22:59:52.6044125Z running install_egg_info
2025-08-14T22:59:52.6197917Z running egg_info
2025-08-14T22:59:52.6259082Z creating torch_test_cpp_extension.egg-info
2025-08-14T22:59:52.6260521Z writing torch_test_cpp_extension.egg-info/PKG-INFO
2025-08-14T22:59:52.6264238Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt
2025-08-14T22:59:52.6266280Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt
2025-08-14T22:59:52.6269044Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt
2025-08-14T22:59:52.6270413Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-08-14T22:59:52.6338146Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-08-14T22:59:52.6346183Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-08-14T22:59:52.6347659Z 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
2025-08-14T22:59:52.6355573Z running install_scripts
2025-08-14T22:59:55.7499853Z /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.
2025-08-14T22:59:55.7501327Z   import pkg_resources
2025-08-14T22:59:55.7894042Z 
2025-08-14T22:59:55.7894209Z Running tests...
2025-08-14T22:59:55.7894519Z ----------------------------------------------------------------------
2025-08-14T22:59:56.1389200Z .
2025-08-14T22:59:56.1389816Z ----------------------------------------------------------------------
2025-08-14T22:59:56.1390212Z Ran 1 test in 0.349s
2025-08-14T22:59:56.1390359Z 
2025-08-14T22:59:56.1390438Z OK
2025-08-14T22:59:56.1390540Z 
2025-08-14T22:59:56.1390640Z Generating XML reports...
2025-08-14T22:59:56.8653445Z Running test_cpp_extensions_aot_no_ninja 1/1 ... [2025-08-14 22:59:56.864933]
2025-08-14T22:59:59.3846004Z /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.
2025-08-14T22:59:59.3847392Z   import pkg_resources
2025-08-14T22:59:59.4527938Z running install
2025-08-14T22:59:59.4530300Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-08-14T22:59:59.4531037Z !!
2025-08-14T22:59:59.4531142Z 
2025-08-14T22:59:59.4531261Z         ********************************************************************************
2025-08-14T22:59:59.4531605Z         Please avoid running ``setup.py`` directly.
2025-08-14T22:59:59.4531958Z         Instead, use pypa/build, pypa/installer or other
2025-08-14T22:59:59.4532298Z         standards-based tools.
2025-08-14T22:59:59.4532487Z 
2025-08-14T22:59:59.4532707Z         By 2025-Oct-31, you need to update your project and remove deprecated calls
2025-08-14T22:59:59.4533145Z         or your builds will no longer be supported.
2025-08-14T22:59:59.4533351Z 
2025-08-14T22:59:59.4533631Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-08-14T22:59:59.4534110Z         ********************************************************************************
2025-08-14T22:59:59.4534326Z 
2025-08-14T22:59:59.4534398Z !!
2025-08-14T22:59:59.4534595Z   self.initialize_options()
2025-08-14T22:59:59.4635646Z running build
2025-08-14T22:59:59.4635910Z running build_py
2025-08-14T22:59:59.4702645Z creating build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension
2025-08-14T22:59:59.4705780Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension
2025-08-14T22:59:59.4709045Z running build_ext
2025-08-14T22:59:59.4743482Z building 'torch_test_cpp_extension.cpp' extension
2025-08-14T22:59:59.4745133Z creating build/temp.linux-x86_64-cpython-310
2025-08-14T22:59:59.4749560Z 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 -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1016\" -DTORCH_EXTENSION_NAME=cpp -std=c++17
2025-08-14T23:00:00.3847822Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/Exceptions.h:12,
2025-08-14T23:00:00.3849226Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/python.h:11,
2025-08-14T23:00:00.3850102Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:9,
2025-08-14T23:00:00.3850902Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/extension.cpp:1:
2025-08-14T23:00:00.3852203Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘class pybind11::class_<MatrixMultiplier>’:
2025-08-14T23:00:00.3853065Z /var/lib/jenkins/workspace/test/cpp_extensions/extension.cpp:45:53:   required from here
2025-08-14T23:00:00.3854335Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h:1539:7: warning: ‘pybind11::class_<MatrixMultiplier>’ declared with greater visibility than its base ‘pybind11::detail::generic_type’ [-Wattributes]
2025-08-14T23:00:00.3857107Z  1539 | class class_ : public detail::generic_type {
2025-08-14T23:00:00.3857383Z       |       ^~~~~~
2025-08-14T23:00:00.3858590Z /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 = {}]’:
2025-08-14T23:00:00.3859717Z /var/lib/jenkins/workspace/test/cpp_extensions/extension.cpp:45:53:   required from here
2025-08-14T23:00:00.3861611Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h:1599:28: 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]
2025-08-14T23:00:00.3863174Z  1599 |             with_internals([&](internals &internals) {
2025-08-14T23:00:00.3863518Z       |                            ^~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:00:00.3863912Z  1600 |                 auto &instances = record.module_local ? get_local_internals().registered_types_cpp
2025-08-14T23:00:00.3864412Z       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:00:00.3864747Z  1601 |                                                       : internals.registered_types_cpp;
2025-08-14T23:00:00.3865088Z       |                                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:00:00.3865452Z  1602 |                 instances[std::type_index(typeid(type_alias))]
2025-08-14T23:00:00.3865737Z       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:00:00.3866117Z  1603 |                     = instances[std::type_index(typeid(type))];
2025-08-14T23:00:00.3866399Z       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:00:00.3866634Z  1604 |             });
2025-08-14T23:00:00.3866896Z       |             ~               
2025-08-14T23:00:00.3868752Z 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
2025-08-14T23:00:00.8441682Z building 'torch_test_cpp_extension.maia' extension
2025-08-14T23:00:00.8446260Z 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 -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1016\" -DTORCH_EXTENSION_NAME=maia -std=c++17
2025-08-14T23:00:01.7106717Z 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
2025-08-14T23:00:02.1582121Z building 'torch_test_cpp_extension.rng' extension
2025-08-14T23:00:02.1585949Z 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 -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1016\" -DTORCH_EXTENSION_NAME=rng -std=c++17
2025-08-14T23:00:03.1995304Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8,
2025-08-14T23:00:03.1996602Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-08-14T23:00:03.1997817Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Loops.h:37,
2025-08-14T23:00:03.1999233Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9,
2025-08-14T23:00:03.2000270Z                  from rng_extension.cpp:6:
2025-08-14T23:00:03.2002100Z /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]
2025-08-14T23:00:03.2003256Z  1478 | #pragma unroll
2025-08-14T23:00:03.2003555Z       | 
2025-08-14T23:00:03.2004212Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_convert.h:4,
2025-08-14T23:00:03.2005084Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1530,
2025-08-14T23:00:03.2006078Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8,
2025-08-14T23:00:03.2007080Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-08-14T23:00:03.2008178Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Loops.h:37,
2025-08-14T23:00:03.2009219Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9,
2025-08-14T23:00:03.2009969Z                  from rng_extension.cpp:6:
2025-08-14T23:00:03.2011106Z /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]
2025-08-14T23:00:03.2012128Z    59 | #pragma unroll
2025-08-14T23:00:03.2012431Z       | 
2025-08-14T23:00:03.2013471Z /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]
2025-08-14T23:00:03.2014277Z    72 | #pragma unroll
2025-08-14T23:00:03.2014456Z       | 
2025-08-14T23:00:03.2015302Z /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]
2025-08-14T23:00:03.2016012Z    87 | #pragma unroll
2025-08-14T23:00:03.2016320Z       | 
2025-08-14T23:00:03.2016753Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1531,
2025-08-14T23:00:03.2017866Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8,
2025-08-14T23:00:03.2018639Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-08-14T23:00:03.2019203Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Loops.h:37,
2025-08-14T23:00:03.2019832Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9,
2025-08-14T23:00:03.2020314Z                  from rng_extension.cpp:6:
2025-08-14T23:00:03.2021013Z /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]
2025-08-14T23:00:03.2021598Z   160 | #pragma unroll
2025-08-14T23:00:03.2021777Z       | 
2025-08-14T23:00:03.2022144Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:00:03.2022743Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:00:03.2023366Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:00:03.2023926Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:00:03.2024436Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:00:03.2025008Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:00:03.2025640Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:00:03.2026248Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:00:03.2026845Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:00:03.2027471Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:00:03.2028266Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:00:03.2028863Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.2029424Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.2030252Z 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]’,
2025-08-14T23:00:03.2031452Z     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,
2025-08-14T23:00:03.2032637Z     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,
2025-08-14T23:00:03.2033855Z     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,
2025-08-14T23:00:03.2035264Z     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,
2025-08-14T23:00:03.2036733Z     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,
2025-08-14T23:00:03.2040988Z     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,
2025-08-14T23:00:03.2048259Z     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:
2025-08-14T23:00:03.2052389Z /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]
2025-08-14T23:00:03.2053100Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:00:03.2053379Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:00:03.2057779Z /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}]’:
2025-08-14T23:00:03.2062323Z /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
2025-08-14T23:00:03.2063228Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:00:03.2063528Z       |        ^~~~~~~~
2025-08-14T23:00:03.2063961Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:00:03.2064645Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:00:03.2065255Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:00:03.2065816Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:00:03.2066343Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:00:03.2066918Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:00:03.2067639Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:00:03.2068418Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:00:03.2069204Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:00:03.2069972Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:00:03.2070662Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:00:03.2071352Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:00:03.2071935Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.2072363Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.2072955Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:00:03.2073469Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:00:03.2073722Z       |                     ^~~~
2025-08-14T23:00:03.2074129Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:00:03.2074723Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:00:03.2075281Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:00:03.2075854Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:00:03.2076371Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:00:03.2076981Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:00:03.2077623Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:00:03.2078225Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:00:03.2078827Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:00:03.2079468Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:00:03.2080128Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:00:03.2080710Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.2081090Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.2081788Z 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]’,
2025-08-14T23:00:03.2082935Z     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,
2025-08-14T23:00:03.2084111Z     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,
2025-08-14T23:00:03.2085329Z     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,
2025-08-14T23:00:03.2086708Z     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,
2025-08-14T23:00:03.2088190Z     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,
2025-08-14T23:00:03.2092362Z     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,
2025-08-14T23:00:03.2099560Z     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:
2025-08-14T23:00:03.2103604Z /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]
2025-08-14T23:00:03.2104268Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:00:03.2104543Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:00:03.2108790Z /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}]’:
2025-08-14T23:00:03.2113618Z /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
2025-08-14T23:00:03.2114634Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:00:03.2114925Z       |        ^~~~~~~~
2025-08-14T23:00:03.2115360Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:00:03.2116050Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:00:03.2116659Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:00:03.2117285Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:00:03.2117807Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:00:03.2118389Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:00:03.2119175Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:00:03.2119956Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:00:03.2120737Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:00:03.2121506Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:00:03.2122299Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:00:03.2122960Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:00:03.2123549Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.2123925Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.2124521Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:00:03.2125034Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:00:03.2125290Z       |                     ^~~~
2025-08-14T23:00:03.2125694Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:00:03.2126295Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:00:03.2126857Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:00:03.2127390Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:00:03.2127901Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:00:03.2128471Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:00:03.2129101Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:00:03.2129725Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:00:03.2130414Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:00:03.2131110Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:00:03.2131778Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:00:03.2132351Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.2132735Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.2133421Z 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]’,
2025-08-14T23:00:03.2134534Z     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,
2025-08-14T23:00:03.2135719Z     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,
2025-08-14T23:00:03.2136953Z     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,
2025-08-14T23:00:03.2138252Z     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,
2025-08-14T23:00:03.2139646Z     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,
2025-08-14T23:00:03.2143599Z     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,
2025-08-14T23:00:03.2150217Z     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:
2025-08-14T23:00:03.2154120Z /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]
2025-08-14T23:00:03.2154764Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:00:03.2155033Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:00:03.2159086Z /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}]’:
2025-08-14T23:00:03.2163446Z /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
2025-08-14T23:00:03.2164335Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:00:03.2164620Z       |        ^~~~~~~~
2025-08-14T23:00:03.2165053Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:00:03.2165746Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:00:03.2166355Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:00:03.2166915Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:00:03.2167437Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:00:03.2168026Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:00:03.2168743Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:00:03.2169515Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:00:03.2170297Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:00:03.2171108Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:00:03.2171805Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:00:03.2172485Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:00:03.2173057Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.2173446Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.2174018Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:00:03.2174532Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:00:03.2174777Z       |                     ^~~~
2025-08-14T23:00:03.2175180Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:00:03.2175811Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:00:03.2176376Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:00:03.2176956Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:00:03.2177475Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:00:03.2178048Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:00:03.2178671Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:00:03.2179288Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:00:03.2179895Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:00:03.2180536Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:00:03.2181185Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:00:03.2181759Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.2182139Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.2182827Z 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]’,
2025-08-14T23:00:03.2183900Z     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,
2025-08-14T23:00:03.2185080Z     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,
2025-08-14T23:00:03.2186294Z     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,
2025-08-14T23:00:03.2187576Z     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,
2025-08-14T23:00:03.2188957Z     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,
2025-08-14T23:00:03.2193044Z     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,
2025-08-14T23:00:03.2199746Z     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:
2025-08-14T23:00:03.2203643Z /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]
2025-08-14T23:00:03.2204288Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:00:03.2204554Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:00:03.2208526Z /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}]’:
2025-08-14T23:00:03.2213162Z /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
2025-08-14T23:00:03.2214069Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:00:03.2214358Z       |        ^~~~~~~~
2025-08-14T23:00:03.2214792Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:00:03.2215483Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:00:03.2216089Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:00:03.2216736Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:00:03.2217287Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:00:03.2217909Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:00:03.2218627Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:00:03.2219404Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:00:03.2220181Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:00:03.2220947Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:00:03.2221653Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:00:03.2222301Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:00:03.2222889Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.2223280Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.2223857Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:00:03.2224374Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:00:03.2224618Z       |                     ^~~~
2025-08-14T23:00:03.2225033Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:00:03.2225620Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:00:03.2226179Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:00:03.2226726Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:00:03.2227243Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:00:03.2227807Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:00:03.2228438Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:00:03.2229122Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:00:03.2229723Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:00:03.2230415Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:00:03.2231079Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:00:03.2231652Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.2232030Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.2232716Z 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]’,
2025-08-14T23:00:03.2233835Z     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,
2025-08-14T23:00:03.2235008Z     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,
2025-08-14T23:00:03.2236241Z     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,
2025-08-14T23:00:03.2237515Z     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,
2025-08-14T23:00:03.2238911Z     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,
2025-08-14T23:00:03.2243137Z     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,
2025-08-14T23:00:03.2250165Z     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:
2025-08-14T23:00:03.2254279Z /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]
2025-08-14T23:00:03.2254925Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:00:03.2255227Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:00:03.2259527Z /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}]’:
2025-08-14T23:00:03.2263999Z /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
2025-08-14T23:00:03.2264892Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:00:03.2265190Z       |        ^~~~~~~~
2025-08-14T23:00:03.2265626Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:00:03.2266320Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:00:03.2266932Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:00:03.2267499Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:00:03.2268033Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:00:03.2268608Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:00:03.2269337Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:00:03.2270129Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:00:03.2270952Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:00:03.2271765Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:00:03.2272464Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:00:03.2273118Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:00:03.2273694Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.2274074Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.2274685Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:00:03.2275205Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:00:03.2275454Z       |                     ^~~~
2025-08-14T23:00:03.2275849Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:00:03.2276492Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:00:03.2277061Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:00:03.2277601Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:00:03.2278108Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:00:03.2278678Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:00:03.2279316Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:00:03.2279923Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:00:03.2280522Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:00:03.2281166Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:00:03.2281826Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:00:03.2282475Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.2282850Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.2283552Z 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]’,
2025-08-14T23:00:03.2284632Z     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,
2025-08-14T23:00:03.2285811Z     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,
2025-08-14T23:00:03.2287015Z     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,
2025-08-14T23:00:03.2288303Z     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,
2025-08-14T23:00:03.2289785Z     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,
2025-08-14T23:00:03.2293791Z     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,
2025-08-14T23:00:03.2300403Z     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:
2025-08-14T23:00:03.2304245Z /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]
2025-08-14T23:00:03.2304891Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:00:03.2305159Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:00:03.2309176Z /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}]’:
2025-08-14T23:00:03.2313749Z /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
2025-08-14T23:00:03.2314649Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:00:03.2314937Z       |        ^~~~~~~~
2025-08-14T23:00:03.2315363Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:00:03.2316145Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:00:03.2316775Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:00:03.2317388Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:00:03.2317918Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:00:03.2318491Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:00:03.2319215Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:00:03.2320000Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:00:03.2320775Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:00:03.2321538Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:00:03.2322283Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:00:03.2322940Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:00:03.2323521Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.2323898Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.2324476Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:00:03.2324988Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:00:03.2325237Z       |                     ^~~~
2025-08-14T23:00:03.2325659Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:00:03.2326251Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:00:03.2326809Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:00:03.2327359Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:00:03.2327870Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:00:03.2328524Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:00:03.2338673Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:00:03.2339466Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:00:03.2340078Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:00:03.2340729Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:00:03.2341391Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:00:03.2341994Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.2342401Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.2343216Z 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]’,
2025-08-14T23:00:03.2344363Z     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,
2025-08-14T23:00:03.2345541Z     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,
2025-08-14T23:00:03.2346736Z     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,
2025-08-14T23:00:03.2348012Z     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,
2025-08-14T23:00:03.2349393Z     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,
2025-08-14T23:00:03.2353540Z     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,
2025-08-14T23:00:03.2360585Z     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:
2025-08-14T23:00:03.2364823Z /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]
2025-08-14T23:00:03.2365508Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:00:03.2365784Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:00:03.2370042Z /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}]’:
2025-08-14T23:00:03.2374457Z /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
2025-08-14T23:00:03.2375346Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:00:03.2375657Z       |        ^~~~~~~~
2025-08-14T23:00:03.2376099Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:00:03.2376789Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:00:03.2377406Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:00:03.2377970Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:00:03.2378496Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:00:03.2379063Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:00:03.2379852Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:00:03.2380671Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:00:03.2381457Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:00:03.2382220Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:00:03.2382927Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:00:03.2383573Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:00:03.2384191Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.2384586Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.2385167Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:00:03.2385723Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:00:03.2385981Z       |                     ^~~~
2025-08-14T23:00:03.2386376Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:00:03.2386970Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:00:03.2387524Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:00:03.2388065Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:00:03.2388573Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:00:03.2389150Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:00:03.2389782Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:00:03.2390403Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:00:03.2391005Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:00:03.2391662Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:00:03.2392322Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:00:03.2392903Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.2393277Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.2393965Z 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]’,
2025-08-14T23:00:03.2395040Z     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,
2025-08-14T23:00:03.2396212Z     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,
2025-08-14T23:00:03.2397489Z     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,
2025-08-14T23:00:03.2398812Z     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,
2025-08-14T23:00:03.2400201Z     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,
2025-08-14T23:00:03.2404283Z     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,
2025-08-14T23:00:03.2410949Z     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:
2025-08-14T23:00:03.2415067Z /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]
2025-08-14T23:00:03.2415733Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:00:03.2416018Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:00:03.2420048Z /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}]’:
2025-08-14T23:00:03.2424440Z /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
2025-08-14T23:00:03.2425388Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:00:03.2425688Z       |        ^~~~~~~~
2025-08-14T23:00:03.2426122Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:00:03.2426869Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:00:03.2427502Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:00:03.2428072Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:00:03.2428598Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:00:03.2429184Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:00:03.2429920Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:00:03.2430797Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:00:03.2431575Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:00:03.2432375Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:00:03.2433069Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:00:03.2433727Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:00:03.2434304Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.2434690Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.2435268Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:00:03.2435801Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:00:03.2436042Z       |                     ^~~~
2025-08-14T23:00:03.2436441Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:00:03.2437037Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:00:03.2437589Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:00:03.2438169Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:00:03.2438686Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:00:03.2439313Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:00:03.2439947Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:00:03.2440551Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:00:03.2441156Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:00:03.2441795Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:00:03.2442602Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:00:03.2443187Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.2443567Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.2444295Z 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]’,
2025-08-14T23:00:03.2445391Z     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,
2025-08-14T23:00:03.2446566Z     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,
2025-08-14T23:00:03.2447800Z     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,
2025-08-14T23:00:03.2449097Z     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,
2025-08-14T23:00:03.2450493Z     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,
2025-08-14T23:00:03.2454452Z     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,
2025-08-14T23:00:03.2461191Z     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:
2025-08-14T23:00:03.2465127Z /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]
2025-08-14T23:00:03.2465817Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:00:03.2466089Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:00:03.2470111Z /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}]’:
2025-08-14T23:00:03.2474368Z /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
2025-08-14T23:00:03.2475263Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:00:03.2475551Z       |        ^~~~~~~~
2025-08-14T23:00:03.2475986Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:00:03.2476709Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:00:03.2477327Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:00:03.2477890Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:00:03.2478421Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:00:03.2479050Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:00:03.2479792Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:00:03.2480637Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:00:03.2481426Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:00:03.2482266Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:00:03.2482954Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:00:03.2483652Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:00:03.2484247Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.2484634Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.2485250Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:00:03.2485760Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:00:03.2486020Z       |                     ^~~~
2025-08-14T23:00:03.2486419Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:00:03.2487009Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:00:03.2487565Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:00:03.2488125Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:00:03.2488638Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:00:03.2489211Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:00:03.2489841Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:00:03.2490454Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:00:03.2491059Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:00:03.2491857Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:00:03.2492543Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:00:03.2493122Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.2493506Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.2494221Z 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]’,
2025-08-14T23:00:03.2495313Z     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,
2025-08-14T23:00:03.2496516Z     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,
2025-08-14T23:00:03.2497820Z     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,
2025-08-14T23:00:03.2499169Z     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,
2025-08-14T23:00:03.2500583Z     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,
2025-08-14T23:00:03.2504614Z     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,
2025-08-14T23:00:03.2511272Z     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:
2025-08-14T23:00:03.2515388Z /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]
2025-08-14T23:00:03.2516053Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:00:03.2516320Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:00:03.2520350Z /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}]’:
2025-08-14T23:00:03.2524880Z /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
2025-08-14T23:00:03.2525789Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:00:03.2526087Z       |        ^~~~~~~~
2025-08-14T23:00:03.2526578Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:00:03.2527271Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:00:03.2527885Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:00:03.2528446Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:00:03.2528972Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:00:03.2529558Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:00:03.2530292Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:00:03.2531076Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:00:03.2531866Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:00:03.2532630Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:00:03.2533351Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:00:03.2534019Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:00:03.2534605Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.2534987Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.2535569Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:00:03.2536094Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:00:03.2536346Z       |                     ^~~~
2025-08-14T23:00:03.2536754Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:00:03.2537354Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:00:03.2537919Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:00:03.2538521Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:00:03.2539085Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:00:03.2539668Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:00:03.2540311Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:00:03.2540923Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:00:03.2541528Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:00:03.2542218Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:00:03.2542898Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:00:03.2543491Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.2543901Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.2544587Z 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]’,
2025-08-14T23:00:03.2545677Z     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,
2025-08-14T23:00:03.2546878Z     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,
2025-08-14T23:00:03.2548108Z     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,
2025-08-14T23:00:03.2549414Z     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,
2025-08-14T23:00:03.2550821Z     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,
2025-08-14T23:00:03.2554761Z     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,
2025-08-14T23:00:03.2561537Z     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:
2025-08-14T23:00:03.2565569Z /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]
2025-08-14T23:00:03.2566239Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:00:03.2566518Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:00:03.2570544Z /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}]’:
2025-08-14T23:00:03.2574810Z /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
2025-08-14T23:00:03.2575785Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:00:03.2576083Z       |        ^~~~~~~~
2025-08-14T23:00:03.2576518Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:00:03.2577229Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:00:03.2577859Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:00:03.2578426Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:00:03.2578949Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:00:03.2579569Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:00:03.2580303Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:00:03.2581139Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:00:03.2581928Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:00:03.2582710Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:00:03.2583412Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:00:03.2584066Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:00:03.2584653Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.2585052Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.2585636Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:00:03.2586163Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:00:03.2586402Z       |                     ^~~~
2025-08-14T23:00:03.2586810Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:00:03.2587425Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:00:03.2588008Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:00:03.2588549Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:00:03.2589070Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:00:03.2589656Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:00:03.2590294Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:00:03.2590910Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:00:03.2591532Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:00:03.2592381Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:00:03.2593080Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:00:03.2593727Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.2594128Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.2594834Z 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]’,
2025-08-14T23:00:03.2595927Z     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,
2025-08-14T23:00:03.2597159Z     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,
2025-08-14T23:00:03.2598394Z     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,
2025-08-14T23:00:03.2599731Z     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,
2025-08-14T23:00:03.2601162Z     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,
2025-08-14T23:00:03.2605190Z     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,
2025-08-14T23:00:03.2612060Z     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:
2025-08-14T23:00:03.2616117Z /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]
2025-08-14T23:00:03.2616776Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:00:03.2617049Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:00:03.2621179Z /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}]’:
2025-08-14T23:00:03.2625441Z /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
2025-08-14T23:00:03.2626340Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:00:03.2626630Z       |        ^~~~~~~~
2025-08-14T23:00:03.2627076Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:00:03.2627772Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:00:03.2628403Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:00:03.2628976Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:00:03.2629507Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:00:03.2630093Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:00:03.2630823Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:00:03.2631603Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:00:03.2632395Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:00:03.2633172Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:00:03.2633867Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:00:03.2634577Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:00:03.2635291Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.2635674Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.2636263Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:00:03.2636783Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:00:03.2637033Z       |                     ^~~~
2025-08-14T23:00:03.2637439Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:00:03.2638027Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:00:03.2638629Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:00:03.2639192Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:00:03.2639715Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:00:03.2640323Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:00:03.2640970Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:00:03.2641586Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:00:03.2642273Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:00:03.2642920Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:00:03.2643585Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:00:03.2644165Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.2644551Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.2645244Z 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]’,
2025-08-14T23:00:03.2646318Z     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,
2025-08-14T23:00:03.2647502Z     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,
2025-08-14T23:00:03.2648726Z     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,
2025-08-14T23:00:03.2650025Z     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,
2025-08-14T23:00:03.2651439Z     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,
2025-08-14T23:00:03.2655652Z     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,
2025-08-14T23:00:03.2662909Z     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:
2025-08-14T23:00:03.2666944Z /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]
2025-08-14T23:00:03.2667614Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:00:03.2667876Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:00:03.2672116Z /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}]’:
2025-08-14T23:00:03.2676655Z /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
2025-08-14T23:00:03.2677555Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:00:03.2677849Z       |        ^~~~~~~~
2025-08-14T23:00:03.2678289Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:00:03.2678986Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:00:03.2679599Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:00:03.2680215Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:00:03.2680748Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:00:03.2681372Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:00:03.2682171Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:00:03.2682964Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:00:03.2683767Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:00:03.2684547Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:00:03.2685265Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:00:03.2685917Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:00:03.2686500Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.2686889Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.2687463Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:00:03.2687983Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:00:03.2688227Z       |                     ^~~~
2025-08-14T23:00:03.2688654Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:00:03.2689250Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:00:03.2689890Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:00:03.2690499Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:00:03.2691036Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:00:03.2691613Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:00:03.2692255Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:00:03.2692936Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:00:03.2693549Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:00:03.2694239Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:00:03.2694915Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:00:03.2695497Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.2695883Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.2696586Z 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]’,
2025-08-14T23:00:03.2697722Z     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,
2025-08-14T23:00:03.2698929Z     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,
2025-08-14T23:00:03.2700204Z     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,
2025-08-14T23:00:03.2701512Z     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,
2025-08-14T23:00:03.2702930Z     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,
2025-08-14T23:00:03.2707187Z     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,
2025-08-14T23:00:03.2714578Z     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:
2025-08-14T23:00:03.2718853Z /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]
2025-08-14T23:00:03.2719513Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:00:03.2719837Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:00:03.2724270Z /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}]’:
2025-08-14T23:00:03.2728754Z /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
2025-08-14T23:00:03.2729658Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:00:03.2729949Z       |        ^~~~~~~~
2025-08-14T23:00:03.2730414Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:00:03.2731119Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:00:03.2731742Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:00:03.2732313Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:00:03.2732869Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:00:03.2733454Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:00:03.2734172Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:00:03.2735003Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:00:03.2735828Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:00:03.2736605Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:00:03.2737305Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:00:03.2737952Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:00:03.2738534Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.2738924Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.2739548Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:00:03.2740072Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:00:03.2740317Z       |                     ^~~~
2025-08-14T23:00:03.2740766Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:00:03.2741362Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:00:03.2741924Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:00:03.2742473Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:00:03.2742996Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:00:03.2743575Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:00:03.2744216Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:00:03.2744832Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:00:03.2745446Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:00:03.2746093Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:00:03.2746754Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:00:03.2747337Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.2747734Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.2748414Z 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]’,
2025-08-14T23:00:03.2749497Z     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,
2025-08-14T23:00:03.2750685Z     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,
2025-08-14T23:00:03.2751899Z     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,
2025-08-14T23:00:03.2753248Z     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,
2025-08-14T23:00:03.2754708Z     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,
2025-08-14T23:00:03.2759022Z     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,
2025-08-14T23:00:03.2766317Z     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:
2025-08-14T23:00:03.2770407Z /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]
2025-08-14T23:00:03.2771057Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:00:03.2771332Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:00:03.2775670Z /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}]’:
2025-08-14T23:00:03.2780271Z /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
2025-08-14T23:00:03.2781187Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:00:03.2781481Z       |        ^~~~~~~~
2025-08-14T23:00:03.2781952Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:00:03.2782668Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:00:03.2783279Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:00:03.2783846Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:00:03.2784386Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:00:03.2784970Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:00:03.2785689Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:00:03.2786473Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:00:03.2787260Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:00:03.2788026Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:00:03.2788725Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:00:03.2789371Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:00:03.2789960Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.2790353Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.2791096Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:00:03.2791631Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:00:03.2791889Z       |                     ^~~~
2025-08-14T23:00:03.2792297Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:00:03.2792886Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:00:03.2793524Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:00:03.2794073Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:00:03.2794629Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:00:03.2795200Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:00:03.2795837Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:00:03.2796460Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:00:03.2797070Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:00:03.2797744Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:00:03.2798411Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:00:03.2798995Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.2799414Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.2800113Z 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]’,
2025-08-14T23:00:03.2801202Z     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,
2025-08-14T23:00:03.2802465Z     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,
2025-08-14T23:00:03.2803682Z     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,
2025-08-14T23:00:03.2804975Z     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,
2025-08-14T23:00:03.2806372Z     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,
2025-08-14T23:00:03.2810603Z     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,
2025-08-14T23:00:03.2818246Z     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:
2025-08-14T23:00:03.2822400Z /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]
2025-08-14T23:00:03.2823063Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:00:03.2823328Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:00:03.2827631Z /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}]’:
2025-08-14T23:00:03.2832156Z /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
2025-08-14T23:00:03.2833061Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:00:03.2833351Z       |        ^~~~~~~~
2025-08-14T23:00:03.2833784Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:00:03.2834495Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:00:03.2835199Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:00:03.2835774Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:00:03.2836346Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:00:03.2836931Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:00:03.2837654Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:00:03.2838448Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:00:03.2839242Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:00:03.2840047Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:00:03.2840765Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:00:03.2841445Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:00:03.2842106Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.2842502Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.2843090Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:00:03.2843621Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:00:03.2843869Z       |                     ^~~~
2025-08-14T23:00:03.2844272Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:00:03.2844862Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:00:03.2845425Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:00:03.2845972Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:00:03.2846492Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:00:03.2847064Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:00:03.2847698Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:00:03.2848315Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:00:03.2848923Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:00:03.2849567Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:00:03.2850238Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:00:03.2850820Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.2851216Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.2851891Z 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]’,
2025-08-14T23:00:03.2853045Z     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,
2025-08-14T23:00:03.2854309Z     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,
2025-08-14T23:00:03.2855527Z     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,
2025-08-14T23:00:03.2856826Z     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,
2025-08-14T23:00:03.2858283Z     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,
2025-08-14T23:00:03.2862600Z     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,
2025-08-14T23:00:03.2869800Z     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:
2025-08-14T23:00:03.2873898Z /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]
2025-08-14T23:00:03.2874593Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:00:03.2874862Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:00:03.2879292Z /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}]’:
2025-08-14T23:00:03.2883853Z /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
2025-08-14T23:00:03.2884750Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:00:03.2885044Z       |        ^~~~~~~~
2025-08-14T23:00:03.2885494Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:00:03.2886195Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:00:03.2886817Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:00:03.2887384Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:00:03.2887912Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:00:03.2888491Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:00:03.2889214Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:00:03.2890005Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:00:03.2890795Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:00:03.2891565Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:00:03.2892255Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:00:03.2892904Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:00:03.2893495Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.2893938Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.2894511Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:00:03.2895069Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:00:03.2895316Z       |                     ^~~~
2025-08-14T23:00:03.2895720Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:00:03.2896306Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:00:03.2896879Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:00:03.2897423Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:00:03.2897940Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:00:03.2898562Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:00:03.2899204Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:00:03.2899854Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:00:03.2900464Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:00:03.2901118Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:00:03.2901785Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:00:03.2902372Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.2902757Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.2903448Z 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]’,
2025-08-14T23:00:03.2904537Z     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,
2025-08-14T23:00:03.2905725Z     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,
2025-08-14T23:00:03.2906946Z     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,
2025-08-14T23:00:03.2908259Z     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,
2025-08-14T23:00:03.2909673Z     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,
2025-08-14T23:00:03.2914360Z     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,
2025-08-14T23:00:03.2921972Z     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:
2025-08-14T23:00:03.2926127Z /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]
2025-08-14T23:00:03.2926786Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:00:03.2927053Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:00:03.2931333Z /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}]’:
2025-08-14T23:00:03.2935915Z /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
2025-08-14T23:00:03.2936850Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:00:03.2937150Z       |        ^~~~~~~~
2025-08-14T23:00:03.2937592Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:00:03.2938293Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:00:03.2938907Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:00:03.2939475Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:00:03.2940050Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:00:03.2940637Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:00:03.2941398Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:00:03.2942212Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:00:03.2943010Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:00:03.2943785Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:00:03.2944485Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:00:03.2945141Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:00:03.2945737Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.2946132Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.2946707Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:00:03.2947228Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:00:03.2947474Z       |                     ^~~~
2025-08-14T23:00:03.2947885Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:00:03.2948482Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:00:03.2949063Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:00:03.2949613Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:00:03.2950133Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:00:03.2950706Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:00:03.2951342Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:00:03.2951961Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:00:03.2952581Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:00:03.2953295Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:00:03.2954000Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:00:03.2954586Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.2954975Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.2955661Z 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]’,
2025-08-14T23:00:03.2956746Z     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,
2025-08-14T23:00:03.2957974Z     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,
2025-08-14T23:00:03.2959210Z     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,
2025-08-14T23:00:03.2960545Z     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,
2025-08-14T23:00:03.2962025Z     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,
2025-08-14T23:00:03.2966289Z     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,
2025-08-14T23:00:03.2973472Z     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:
2025-08-14T23:00:03.2977613Z /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]
2025-08-14T23:00:03.2978257Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:00:03.2978532Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:00:03.2982967Z /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}]’:
2025-08-14T23:00:03.2987463Z /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
2025-08-14T23:00:03.2988355Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:00:03.2988661Z       |        ^~~~~~~~
2025-08-14T23:00:03.2989106Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:00:03.2989800Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:00:03.2990438Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:00:03.2991009Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:00:03.2991550Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:00:03.2992127Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:00:03.2992992Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:00:03.2993842Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:00:03.2995524Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:00:03.2996314Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:00:03.2997066Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:00:03.2997723Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:00:03.2998311Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.2998698Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.2999301Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:00:03.2999830Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:00:03.3000134Z       |                     ^~~~
2025-08-14T23:00:03.3000548Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:00:03.3001146Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:00:03.3001764Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:00:03.3002429Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:00:03.3002973Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:00:03.3003549Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:00:03.3004192Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:00:03.3004813Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:00:03.3005426Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:00:03.3006076Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:00:03.3006742Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:00:03.3007326Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.3007705Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.3008408Z 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]’,
2025-08-14T23:00:03.3009501Z     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,
2025-08-14T23:00:03.3010694Z     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,
2025-08-14T23:00:03.3012111Z     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,
2025-08-14T23:00:03.3013434Z     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,
2025-08-14T23:00:03.3014947Z     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,
2025-08-14T23:00:03.3019370Z     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,
2025-08-14T23:00:03.3026530Z     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:
2025-08-14T23:00:03.3030643Z /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]
2025-08-14T23:00:03.3031301Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:00:03.3031572Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:00:03.3035882Z /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}]’:
2025-08-14T23:00:03.3040440Z /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
2025-08-14T23:00:03.3041332Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:00:03.3041682Z       |        ^~~~~~~~
2025-08-14T23:00:03.3042190Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:00:03.3042895Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:00:03.3043539Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:00:03.3044133Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:00:03.3044664Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:00:03.3045241Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:00:03.3045970Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:00:03.3046762Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:00:03.3047575Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:00:03.3048354Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:00:03.3049043Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:00:03.3049697Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:00:03.3050278Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.3050664Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.3051248Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:00:03.3051768Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:00:03.3052023Z       |                     ^~~~
2025-08-14T23:00:03.3052427Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:00:03.3053041Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:00:03.3053608Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:00:03.3054167Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:00:03.3054729Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:00:03.3055309Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:00:03.3055987Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:00:03.3056622Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:00:03.3057236Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:00:03.3057875Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:00:03.3058540Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:00:03.3059170Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.3059553Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.3060275Z 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]’,
2025-08-14T23:00:03.3061386Z     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,
2025-08-14T23:00:03.3062588Z     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,
2025-08-14T23:00:03.3063812Z     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,
2025-08-14T23:00:03.3065114Z     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,
2025-08-14T23:00:03.3066514Z     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,
2025-08-14T23:00:03.3070753Z     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,
2025-08-14T23:00:03.3077955Z     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:
2025-08-14T23:00:03.3082218Z /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]
2025-08-14T23:00:03.3082892Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:00:03.3083169Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:00:03.3087516Z /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}]’:
2025-08-14T23:00:03.3091994Z /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
2025-08-14T23:00:03.3092907Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:00:03.3093208Z       |        ^~~~~~~~
2025-08-14T23:00:03.3093763Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:00:03.3094538Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:00:03.3095155Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:00:03.3095723Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:00:03.3096328Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:00:03.3096964Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:00:03.3097692Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:00:03.3098475Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:00:03.3099263Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:00:03.3100040Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:00:03.3100774Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:00:03.3101449Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:00:03.3102075Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.3102488Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.3103082Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:00:03.3103602Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:00:03.3103850Z       |                     ^~~~
2025-08-14T23:00:03.3104249Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:00:03.3104849Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:00:03.3105440Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:00:03.3105987Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:00:03.3106501Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:00:03.3107093Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:00:03.3107729Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:00:03.3108342Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:00:03.3108947Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:00:03.3109594Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:00:03.3110275Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:00:03.3110855Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.3111243Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.3112121Z 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]’,
2025-08-14T23:00:03.3113231Z     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,
2025-08-14T23:00:03.3114519Z     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,
2025-08-14T23:00:03.3115800Z     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,
2025-08-14T23:00:03.3117099Z     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,
2025-08-14T23:00:03.3118499Z     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,
2025-08-14T23:00:03.3122601Z     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,
2025-08-14T23:00:03.3129289Z     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:
2025-08-14T23:00:03.3142948Z /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]
2025-08-14T23:00:03.3143645Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:00:03.3143919Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:00:03.3147971Z /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}]’:
2025-08-14T23:00:03.3152419Z /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
2025-08-14T23:00:03.3153389Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:00:03.3153695Z       |        ^~~~~~~~
2025-08-14T23:00:03.3154133Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:00:03.3154828Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:00:03.3155449Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:00:03.3156023Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:00:03.3156558Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:00:03.3157138Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:00:03.3157877Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:00:03.3158669Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:00:03.3159462Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:00:03.3160241Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:00:03.3160938Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:00:03.3161591Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:00:03.3162280Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.3162670Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.3163266Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:00:03.3163787Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:00:03.3164027Z       |                     ^~~~
2025-08-14T23:00:03.3164436Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:00:03.3165099Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:00:03.3165344Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:00:03.3165632Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:00:03.3165845Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:00:03.3166132Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:00:03.3166410Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:00:03.3166672Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:00:03.3166969Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:00:03.3167270Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:00:03.3167591Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:00:03.3167809Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.3167896Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.3168447Z 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]’,
2025-08-14T23:00:03.3169041Z     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,
2025-08-14T23:00:03.3169691Z     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,
2025-08-14T23:00:03.3170321Z     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,
2025-08-14T23:00:03.3171069Z     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,
2025-08-14T23:00:03.3171831Z     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,
2025-08-14T23:00:03.3175450Z     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,
2025-08-14T23:00:03.3179672Z     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:
2025-08-14T23:00:03.3180257Z /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]
2025-08-14T23:00:03.3180376Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:00:03.3180461Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:00:03.3184650Z /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}]’:
2025-08-14T23:00:03.3185532Z /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
2025-08-14T23:00:03.3185699Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:00:03.3185768Z       |        ^~~~~~~~
2025-08-14T23:00:03.3186098Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:00:03.3186449Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:00:03.3186695Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:00:03.3186977Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:00:03.3187187Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:00:03.3187491Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:00:03.3187859Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:00:03.3188206Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:00:03.3188612Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:00:03.3188945Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:00:03.3189266Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:00:03.3189547Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:00:03.3189768Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.3189863Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.3190283Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:00:03.3190397Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:00:03.3190466Z       |                     ^~~~
2025-08-14T23:00:03.3190740Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:00:03.3190985Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:00:03.3191224Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:00:03.3191447Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:00:03.3191657Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:00:03.3191941Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:00:03.3192234Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:00:03.3192508Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:00:03.3192777Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:00:03.3193078Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:00:03.3193354Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:00:03.3193578Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.3193656Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.3194250Z 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]’,
2025-08-14T23:00:03.3194895Z     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,
2025-08-14T23:00:03.3195548Z     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,
2025-08-14T23:00:03.3196180Z     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,
2025-08-14T23:00:03.3196948Z     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,
2025-08-14T23:00:03.3197707Z     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,
2025-08-14T23:00:03.3201343Z     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,
2025-08-14T23:00:03.3205429Z     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:
2025-08-14T23:00:03.3206063Z /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]
2025-08-14T23:00:03.3206215Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:00:03.3206308Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:00:03.3210549Z /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}]’:
2025-08-14T23:00:03.3211437Z /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
2025-08-14T23:00:03.3211601Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:00:03.3211670Z       |        ^~~~~~~~
2025-08-14T23:00:03.3212237Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:00:03.3212551Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:00:03.3212798Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:00:03.3213043Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:00:03.3213250Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:00:03.3213539Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:00:03.3213910Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:00:03.3214258Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:00:03.3214625Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:00:03.3214959Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:00:03.3215248Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:00:03.3215526Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:00:03.3215855Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.3216012Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.3216445Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:00:03.3216550Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:00:03.3216633Z       |                     ^~~~
2025-08-14T23:00:03.3216910Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:00:03.3217157Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:00:03.3217393Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:00:03.3217666Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:00:03.3217883Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:00:03.3218173Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:00:03.3218521Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:00:03.3218796Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:00:03.3219060Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:00:03.3219367Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:00:03.3219647Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:00:03.3219867Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.3219948Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.3220486Z 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]’,
2025-08-14T23:00:03.3221098Z     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,
2025-08-14T23:00:03.3221746Z     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,
2025-08-14T23:00:03.3222393Z     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,
2025-08-14T23:00:03.3223134Z     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,
2025-08-14T23:00:03.3223908Z     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,
2025-08-14T23:00:03.3227497Z     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,
2025-08-14T23:00:03.3231677Z     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:
2025-08-14T23:00:03.3232256Z /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]
2025-08-14T23:00:03.3232378Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:00:03.3232478Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:00:03.3236633Z /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}]’:
2025-08-14T23:00:03.3237553Z /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
2025-08-14T23:00:03.3237758Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:00:03.3237823Z       |        ^~~~~~~~
2025-08-14T23:00:03.3238150Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:00:03.3238447Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:00:03.3238693Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:00:03.3238971Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:00:03.3239178Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:00:03.3239473Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:00:03.3239889Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:00:03.3240238Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:00:03.3240604Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:00:03.3240935Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:00:03.3241222Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:00:03.3241517Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:00:03.3241743Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.3241829Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.3242342Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:00:03.3242447Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:00:03.3242522Z       |                     ^~~~
2025-08-14T23:00:03.3242800Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:00:03.3243058Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:00:03.3243302Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:00:03.3243545Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:00:03.3243758Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:00:03.3244046Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:00:03.3244315Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:00:03.3244591Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:00:03.3244900Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:00:03.3245242Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:00:03.3245528Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:00:03.3245746Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.3245836Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.3246382Z 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]’,
2025-08-14T23:00:03.3247030Z     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,
2025-08-14T23:00:03.3247675Z     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,
2025-08-14T23:00:03.3248344Z     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,
2025-08-14T23:00:03.3249069Z     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,
2025-08-14T23:00:03.3249827Z     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,
2025-08-14T23:00:03.3253101Z     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,
2025-08-14T23:00:03.3256855Z     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:
2025-08-14T23:00:03.3257509Z /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]
2025-08-14T23:00:03.3257626Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:00:03.3257708Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:00:03.3261593Z /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}]’:
2025-08-14T23:00:03.3262493Z /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
2025-08-14T23:00:03.3262653Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:00:03.3262726Z       |        ^~~~~~~~
2025-08-14T23:00:03.3263049Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:00:03.3263339Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:00:03.3263591Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:00:03.3263842Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:00:03.3264056Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:00:03.3264348Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:00:03.3264708Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:00:03.3265062Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:00:03.3265435Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:00:03.3265819Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:00:03.3266109Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:00:03.3266426Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:00:03.3266651Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.3266734Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.3267155Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:00:03.3267257Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:00:03.3267326Z       |                     ^~~~
2025-08-14T23:00:03.3267605Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:00:03.3267899Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:00:03.3268148Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:00:03.3268412Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:00:03.3268620Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:00:03.3268911Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:00:03.3269180Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:00:03.3269444Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:00:03.3269711Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:00:03.3270013Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:00:03.3270297Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:00:03.3270515Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.3270598Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.3271133Z 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]’,
2025-08-14T23:00:03.3271744Z     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,
2025-08-14T23:00:03.3272398Z     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,
2025-08-14T23:00:03.3273035Z     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,
2025-08-14T23:00:03.3273764Z     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,
2025-08-14T23:00:03.3274520Z     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,
2025-08-14T23:00:03.3278249Z     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,
2025-08-14T23:00:03.3282400Z     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:
2025-08-14T23:00:03.3282984Z /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]
2025-08-14T23:00:03.3283108Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:00:03.3283199Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:00:03.3287346Z /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}]’:
2025-08-14T23:00:03.3288302Z /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
2025-08-14T23:00:03.3288450Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:00:03.3288518Z       |        ^~~~~~~~
2025-08-14T23:00:03.3288882Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:00:03.3289177Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:00:03.3289433Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:00:03.3289703Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:00:03.3289921Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:00:03.3290219Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:00:03.3290579Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:00:03.3290935Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:00:03.3291296Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:00:03.3291625Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:00:03.3291929Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:00:03.3292213Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:00:03.3292448Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:00:03.3292533Z                  from rng_extension.cpp:1:
2025-08-14T23:00:03.3292958Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:00:03.3293068Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:00:03.3293142Z       |                     ^~~~
2025-08-14T23:00:03.3294553Z 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
2025-08-14T23:00:03.6759415Z building 'torch_test_cpp_extension.cuda' extension
2025-08-14T23:00:03.6764629Z 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 -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1016\" -DTORCH_EXTENSION_NAME=cuda -std=c++17
2025-08-14T23:00:04.5477001Z /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 -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1016\" -DTORCH_EXTENSION_NAME=cuda -gencode=arch=compute_50,code=sm_50 -gencode=arch=compute_52,code=compute_52 -gencode=arch=compute_52,code=sm_52 -std=c++17
2025-08-14T23:00:04.5488968Z nvcc warning : Support for offline compilation for architectures prior to '<compute/sm/lto>_75' will be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
2025-08-14T23:00:25.4463425Z /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 -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1016\" -DTORCH_EXTENSION_NAME=cuda -gencode=arch=compute_50,code=sm_50 -gencode=arch=compute_52,code=compute_52 -gencode=arch=compute_52,code=sm_52 -std=c++17
2025-08-14T23:00:25.4474689Z nvcc warning : Support for offline compilation for architectures prior to '<compute/sm/lto>_75' will be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
2025-08-14T23:00:46.3297281Z 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
2025-08-14T23:00:46.8185988Z building 'torch_test_cpp_extension.torch_library' extension
2025-08-14T23:00:46.8190810Z /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 -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1016\" -DTORCH_EXTENSION_NAME=torch_library -gencode=arch=compute_50,code=sm_50 -gencode=arch=compute_52,code=compute_52 -gencode=arch=compute_52,code=sm_52 -std=c++17
2025-08-14T23:00:46.8205989Z nvcc warning : Support for offline compilation for architectures prior to '<compute/sm/lto>_75' will be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
2025-08-14T23:01:32.7037492Z 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
2025-08-14T23:01:33.0322084Z building 'torch_test_cpp_extension.cublas_extension' extension
2025-08-14T23:01:33.0326154Z 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 -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1016\" -DTORCH_EXTENSION_NAME=cublas_extension -std=c++17
2025-08-14T23:01:33.9524648Z 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
2025-08-14T23:01:34.1944184Z building 'torch_test_cpp_extension.cusolver_extension' extension
2025-08-14T23:01:34.1948291Z 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 -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1016\" -DTORCH_EXTENSION_NAME=cusolver_extension -std=c++17
2025-08-14T23:01:35.1046401Z 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
2025-08-14T23:01:35.3471394Z running install_lib
2025-08-14T23:01:35.3545386Z 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
2025-08-14T23:01:35.3639726Z 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
2025-08-14T23:01:35.3736186Z 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
2025-08-14T23:01:35.3835708Z 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
2025-08-14T23:01:35.3922104Z 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
2025-08-14T23:01:35.3925782Z 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
2025-08-14T23:01:35.3928409Z 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
2025-08-14T23:01:35.3934843Z running install_egg_info
2025-08-14T23:01:35.4087195Z running egg_info
2025-08-14T23:01:35.4150386Z writing torch_test_cpp_extension.egg-info/PKG-INFO
2025-08-14T23:01:35.4153916Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt
2025-08-14T23:01:35.4156114Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt
2025-08-14T23:01:35.4158627Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt
2025-08-14T23:01:35.4224450Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-08-14T23:01:35.4234110Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-08-14T23:01:35.4235770Z 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)
2025-08-14T23:01:35.4237808Z 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
2025-08-14T23:01:35.4245866Z running install_scripts
2025-08-14T23:01:37.6155219Z running install
2025-08-14T23:01:37.6157332Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-08-14T23:01:37.6157978Z !!
2025-08-14T23:01:37.6158075Z 
2025-08-14T23:01:37.6158193Z         ********************************************************************************
2025-08-14T23:01:37.6158478Z         Please avoid running ``setup.py`` directly.
2025-08-14T23:01:37.6158788Z         Instead, use pypa/build, pypa/installer or other
2025-08-14T23:01:37.6159066Z         standards-based tools.
2025-08-14T23:01:37.6159202Z 
2025-08-14T23:01:37.6159388Z         By 2025-Oct-31, you need to update your project and remove deprecated calls
2025-08-14T23:01:37.6159725Z         or your builds will no longer be supported.
2025-08-14T23:01:37.6159901Z 
2025-08-14T23:01:37.6160126Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-08-14T23:01:37.6160521Z         ********************************************************************************
2025-08-14T23:01:37.6160700Z 
2025-08-14T23:01:37.6160758Z !!
2025-08-14T23:01:37.6160918Z   self.initialize_options()
2025-08-14T23:01:37.6261526Z running build
2025-08-14T23:01:37.6261779Z running build_ext
2025-08-14T23:01:37.6552259Z building 'no_python_abi_suffix_test' extension
2025-08-14T23:01:37.6554627Z creating /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-310
2025-08-14T23:01:37.7526115Z [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 '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1016"' -DTORCH_EXTENSION_NAME=no_python_abi_suffix_test -std=c++17
2025-08-14T23:01:37.7558510Z creating build/lib.linux-x86_64-cpython-310
2025-08-14T23:01:37.7563312Z 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
2025-08-14T23:01:37.8499860Z running install_lib
2025-08-14T23:01:37.8571151Z creating install/opt/conda/envs/py_3.10/lib/python3.10/site-packages
2025-08-14T23:01:37.8574651Z 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
2025-08-14T23:01:37.8579096Z running install_egg_info
2025-08-14T23:01:37.8731204Z running egg_info
2025-08-14T23:01:37.8795032Z creating no_python_abi_suffix_test.egg-info
2025-08-14T23:01:37.8796415Z writing no_python_abi_suffix_test.egg-info/PKG-INFO
2025-08-14T23:01:37.8799991Z writing dependency_links to no_python_abi_suffix_test.egg-info/dependency_links.txt
2025-08-14T23:01:37.8802968Z writing top-level names to no_python_abi_suffix_test.egg-info/top_level.txt
2025-08-14T23:01:37.8804455Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2025-08-14T23:01:37.8869422Z reading manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2025-08-14T23:01:37.8876584Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2025-08-14T23:01:37.8878087Z 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
2025-08-14T23:01:37.8886196Z running install_scripts
2025-08-14T23:01:39.8689812Z running bdist_wheel
2025-08-14T23:01:39.9211645Z running build
2025-08-14T23:01:39.9212232Z running build_ext
2025-08-14T23:01:39.9243259Z building 'python_agnostic._C' extension
2025-08-14T23:01:39.9246271Z 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
2025-08-14T23:01:55.0741066Z [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_50,code=sm_50 -gencode=arch=compute_52,code=compute_52 -gencode=arch=compute_52,code=sm_52 -std=c++17
2025-08-14T23:01:55.0746384Z nvcc warning : Support for offline compilation for architectures prior to '<compute/sm/lto>_75' will be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
2025-08-14T23:01:55.0801124Z creating build/lib.linux-x86_64-cpython-310/python_agnostic
2025-08-14T23:01:55.0806287Z 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
2025-08-14T23:01:55.5293175Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-08-14T23:01:55.5293948Z !!
2025-08-14T23:01:55.5294070Z 
2025-08-14T23:01:55.5294193Z         ********************************************************************************
2025-08-14T23:01:55.5294569Z         Please avoid running ``setup.py`` directly.
2025-08-14T23:01:55.5294949Z         Instead, use pypa/build, pypa/installer or other
2025-08-14T23:01:55.5295290Z         standards-based tools.
2025-08-14T23:01:55.5295466Z 
2025-08-14T23:01:55.5295670Z         By 2025-Oct-31, you need to update your project and remove deprecated calls
2025-08-14T23:01:55.5296096Z         or your builds will no longer be supported.
2025-08-14T23:01:55.5296310Z 
2025-08-14T23:01:55.5296595Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-08-14T23:01:55.5297052Z         ********************************************************************************
2025-08-14T23:01:55.5297270Z 
2025-08-14T23:01:55.5297343Z !!
2025-08-14T23:01:55.5297544Z   self.initialize_options()
2025-08-14T23:01:55.5356538Z installing to build/bdist.linux-x86_64/wheel
2025-08-14T23:01:55.5356909Z running install
2025-08-14T23:01:55.5396740Z running install_lib
2025-08-14T23:01:55.5461829Z creating build/bdist.linux-x86_64/wheel
2025-08-14T23:01:55.5463857Z creating build/bdist.linux-x86_64/wheel/python_agnostic
2025-08-14T23:01:55.5465546Z copying build/lib.linux-x86_64-cpython-310/python_agnostic/_C.so -> build/bdist.linux-x86_64/wheel/./python_agnostic
2025-08-14T23:01:55.5470876Z running install_egg_info
2025-08-14T23:01:55.5535742Z running egg_info
2025-08-14T23:01:55.5594112Z creating python_agnostic.egg-info
2025-08-14T23:01:55.5595189Z writing python_agnostic.egg-info/PKG-INFO
2025-08-14T23:01:55.5598985Z writing dependency_links to python_agnostic.egg-info/dependency_links.txt
2025-08-14T23:01:55.5601648Z writing top-level names to python_agnostic.egg-info/top_level.txt
2025-08-14T23:01:55.5603076Z writing manifest file 'python_agnostic.egg-info/SOURCES.txt'
2025-08-14T23:01:55.5667861Z reading manifest file 'python_agnostic.egg-info/SOURCES.txt'
2025-08-14T23:01:55.5674825Z writing manifest file 'python_agnostic.egg-info/SOURCES.txt'
2025-08-14T23:01:55.5675901Z Copying python_agnostic.egg-info to build/bdist.linux-x86_64/wheel/./python_agnostic-0.0-py3.10.egg-info
2025-08-14T23:01:55.5682393Z running install_scripts
2025-08-14T23:01:55.5787765Z creating build/bdist.linux-x86_64/wheel/python_agnostic-0.0.dist-info/WHEEL
2025-08-14T23:01:55.5792151Z creating 'dist/python_agnostic-0.0-cp39-abi3-linux_x86_64.whl' and adding 'build/bdist.linux-x86_64/wheel' to it
2025-08-14T23:01:55.5938332Z adding 'python_agnostic/_C.so'
2025-08-14T23:01:55.5943699Z adding 'python_agnostic-0.0.dist-info/METADATA'
2025-08-14T23:01:55.5944791Z adding 'python_agnostic-0.0.dist-info/WHEEL'
2025-08-14T23:01:55.5945822Z adding 'python_agnostic-0.0.dist-info/top_level.txt'
2025-08-14T23:01:55.5947632Z adding 'python_agnostic-0.0.dist-info/RECORD'
2025-08-14T23:01:55.5947996Z removing build/bdist.linux-x86_64/wheel
2025-08-14T23:01:57.5660524Z running install
2025-08-14T23:01:57.5661384Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-08-14T23:01:57.5662148Z !!
2025-08-14T23:01:57.5662270Z 
2025-08-14T23:01:57.5662502Z         ********************************************************************************
2025-08-14T23:01:57.5662871Z         Please avoid running ``setup.py`` directly.
2025-08-14T23:01:57.5663234Z         Instead, use pypa/build, pypa/installer or other
2025-08-14T23:01:57.5663570Z         standards-based tools.
2025-08-14T23:01:57.5663747Z 
2025-08-14T23:01:57.5663940Z         By 2025-Oct-31, you need to update your project and remove deprecated calls
2025-08-14T23:01:57.5664280Z         or your builds will no longer be supported.
2025-08-14T23:01:57.5664456Z 
2025-08-14T23:01:57.5664682Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-08-14T23:01:57.5665080Z         ********************************************************************************
2025-08-14T23:01:57.5665253Z 
2025-08-14T23:01:57.5665328Z !!
2025-08-14T23:01:57.5665477Z   self.initialize_options()
2025-08-14T23:01:57.5762820Z running build
2025-08-14T23:01:57.5763061Z running build_py
2025-08-14T23:01:57.5829743Z creating build/lib.linux-x86_64-cpython-310/libtorch_agnostic
2025-08-14T23:01:57.5832184Z copying libtorch_agnostic/__init__.py -> build/lib.linux-x86_64-cpython-310/libtorch_agnostic
2025-08-14T23:01:57.5840275Z copying libtorch_agnostic/ops.py -> build/lib.linux-x86_64-cpython-310/libtorch_agnostic
2025-08-14T23:01:57.5851294Z running build_ext
2025-08-14T23:01:57.6139274Z building 'libtorch_agnostic._C' extension
2025-08-14T23:01:57.6141153Z 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
2025-08-14T23:01:57.8074531Z [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
2025-08-14T23:01:57.8115389Z 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
2025-08-14T23:01:58.1413368Z running install_lib
2025-08-14T23:01:58.1486641Z creating install/opt/conda/envs/py_3.10/lib/python3.10/site-packages
2025-08-14T23:01:58.1490769Z creating install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/libtorch_agnostic
2025-08-14T23:01:58.1492138Z 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
2025-08-14T23:01:58.1493973Z 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
2025-08-14T23:01:58.1495384Z 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
2025-08-14T23:01:58.1501364Z byte-compiling ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/libtorch_agnostic/__init__.py to __init__.cpython-310.pyc
2025-08-14T23:01:58.1505617Z byte-compiling ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/libtorch_agnostic/ops.py to ops.cpython-310.pyc
2025-08-14T23:01:58.1512234Z running install_egg_info
2025-08-14T23:01:58.1671720Z running egg_info
2025-08-14T23:01:58.1733969Z creating libtorch_agnostic.egg-info
2025-08-14T23:01:58.1734959Z writing libtorch_agnostic.egg-info/PKG-INFO
2025-08-14T23:01:58.1738775Z writing dependency_links to libtorch_agnostic.egg-info/dependency_links.txt
2025-08-14T23:01:58.1741171Z writing requirements to libtorch_agnostic.egg-info/requires.txt
2025-08-14T23:01:58.1742356Z writing top-level names to libtorch_agnostic.egg-info/top_level.txt
2025-08-14T23:01:58.1743929Z writing manifest file 'libtorch_agnostic.egg-info/SOURCES.txt'
2025-08-14T23:01:58.1813900Z reading manifest file 'libtorch_agnostic.egg-info/SOURCES.txt'
2025-08-14T23:01:58.1821252Z writing manifest file 'libtorch_agnostic.egg-info/SOURCES.txt'
2025-08-14T23:01:58.1822730Z 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
2025-08-14T23:01:58.1830882Z running install_scripts
2025-08-14T23:01:58.5957017Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:01:58.5959969Z 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'] ... [2025-08-14 23:01:58.595738]
2025-08-14T23:02:02.5328803Z 
2025-08-14T23:02:02.5329725Z 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_0e3c0a27ce62cbf3_.log
2025-08-14T23:02:02.5336889Z 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
2025-08-14T23:02:02.5342169Z 
2025-08-14T23:02:02.5342402Z Running test_autoload_disable 1/1 ... [2025-08-14 23:02:02.533096]
2025-08-14T23:02:05.0488140Z /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.
2025-08-14T23:02:05.0489520Z   import pkg_resources
2025-08-14T23:02:05.1184190Z running install
2025-08-14T23:02:05.1185867Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-08-14T23:02:05.1186599Z !!
2025-08-14T23:02:05.1186713Z 
2025-08-14T23:02:05.1186813Z         ********************************************************************************
2025-08-14T23:02:05.1187103Z         Please avoid running ``setup.py`` directly.
2025-08-14T23:02:05.1187416Z         Instead, use pypa/build, pypa/installer or other
2025-08-14T23:02:05.1187683Z         standards-based tools.
2025-08-14T23:02:05.1187827Z 
2025-08-14T23:02:05.1188000Z         By 2025-Oct-31, you need to update your project and remove deprecated calls
2025-08-14T23:02:05.1188344Z         or your builds will no longer be supported.
2025-08-14T23:02:05.1188515Z 
2025-08-14T23:02:05.1188735Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-08-14T23:02:05.1189111Z         ********************************************************************************
2025-08-14T23:02:05.1189287Z 
2025-08-14T23:02:05.1189358Z !!
2025-08-14T23:02:05.1189516Z   self.initialize_options()
2025-08-14T23:02:05.1290370Z running build
2025-08-14T23:02:05.1290624Z running build_py
2025-08-14T23:02:05.1359607Z creating build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension
2025-08-14T23:02:05.1362269Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension
2025-08-14T23:02:05.1365840Z running build_ext
2025-08-14T23:02:05.1399599Z building 'torch_test_cpp_extension.cpp' extension
2025-08-14T23:02:05.1400825Z creating build/temp.linux-x86_64-cpython-310
2025-08-14T23:02:05.1405528Z 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 -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1016\" -DTORCH_EXTENSION_NAME=cpp -std=c++17
2025-08-14T23:02:06.0484299Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/Exceptions.h:12,
2025-08-14T23:02:06.0485242Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/python.h:11,
2025-08-14T23:02:06.0486121Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:9,
2025-08-14T23:02:06.0486826Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/extension.cpp:1:
2025-08-14T23:02:06.0488018Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘class pybind11::class_<MatrixMultiplier>’:
2025-08-14T23:02:06.0488985Z /var/lib/jenkins/workspace/test/cpp_extensions/extension.cpp:45:53:   required from here
2025-08-14T23:02:06.0490298Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h:1539:7: warning: ‘pybind11::class_<MatrixMultiplier>’ declared with greater visibility than its base ‘pybind11::detail::generic_type’ [-Wattributes]
2025-08-14T23:02:06.0491212Z  1539 | class class_ : public detail::generic_type {
2025-08-14T23:02:06.0491463Z       |       ^~~~~~
2025-08-14T23:02:06.0492595Z /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 = {}]’:
2025-08-14T23:02:06.0493730Z /var/lib/jenkins/workspace/test/cpp_extensions/extension.cpp:45:53:   required from here
2025-08-14T23:02:06.0495494Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h:1599:28: 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]
2025-08-14T23:02:06.0496835Z  1599 |             with_internals([&](internals &internals) {
2025-08-14T23:02:06.0497103Z       |                            ^~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:02:06.0497678Z  1600 |                 auto &instances = record.module_local ? get_local_internals().registered_types_cpp
2025-08-14T23:02:06.0498253Z       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:02:06.0498706Z  1601 |                                                       : internals.registered_types_cpp;
2025-08-14T23:02:06.0499009Z       |                                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:02:06.0499301Z  1602 |                 instances[std::type_index(typeid(type_alias))]
2025-08-14T23:02:06.0499588Z       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:02:06.0499870Z  1603 |                     = instances[std::type_index(typeid(type))];
2025-08-14T23:02:06.0500145Z       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:02:06.0500362Z  1604 |             });
2025-08-14T23:02:06.0500546Z       |             ~               
2025-08-14T23:02:06.0502047Z 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
2025-08-14T23:02:06.5167546Z building 'torch_test_cpp_extension.maia' extension
2025-08-14T23:02:06.5171729Z 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 -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1016\" -DTORCH_EXTENSION_NAME=maia -std=c++17
2025-08-14T23:02:07.3993746Z 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
2025-08-14T23:02:07.8395200Z building 'torch_test_cpp_extension.rng' extension
2025-08-14T23:02:07.8398802Z 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 -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1016\" -DTORCH_EXTENSION_NAME=rng -std=c++17
2025-08-14T23:02:08.8657819Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8,
2025-08-14T23:02:08.8658982Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-08-14T23:02:08.8659939Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Loops.h:37,
2025-08-14T23:02:08.8661073Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9,
2025-08-14T23:02:08.8661818Z                  from rng_extension.cpp:6:
2025-08-14T23:02:08.8663299Z /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]
2025-08-14T23:02:08.8664267Z  1478 | #pragma unroll
2025-08-14T23:02:08.8664555Z       | 
2025-08-14T23:02:08.8665182Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_convert.h:4,
2025-08-14T23:02:08.8666315Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1530,
2025-08-14T23:02:08.8667335Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8,
2025-08-14T23:02:08.8668301Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-08-14T23:02:08.8669217Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Loops.h:37,
2025-08-14T23:02:08.8670189Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9,
2025-08-14T23:02:08.8670893Z                  from rng_extension.cpp:6:
2025-08-14T23:02:08.8671978Z /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]
2025-08-14T23:02:08.8673071Z    59 | #pragma unroll
2025-08-14T23:02:08.8673312Z       | 
2025-08-14T23:02:08.8674076Z /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]
2025-08-14T23:02:08.8674741Z    72 | #pragma unroll
2025-08-14T23:02:08.8674977Z       | 
2025-08-14T23:02:08.8675967Z /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]
2025-08-14T23:02:08.8676844Z    87 | #pragma unroll
2025-08-14T23:02:08.8677115Z       | 
2025-08-14T23:02:08.8677739Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1531,
2025-08-14T23:02:08.8678740Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8,
2025-08-14T23:02:08.8679317Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-08-14T23:02:08.8679954Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Loops.h:37,
2025-08-14T23:02:08.8680583Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9,
2025-08-14T23:02:08.8681066Z                  from rng_extension.cpp:6:
2025-08-14T23:02:08.8681768Z /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]
2025-08-14T23:02:08.8682465Z   160 | #pragma unroll
2025-08-14T23:02:08.8682639Z       | 
2025-08-14T23:02:08.8683014Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:02:08.8683609Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:02:08.8684169Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:02:08.8684714Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:02:08.8685229Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:02:08.8685800Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:02:08.8686437Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:02:08.8687051Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:02:08.8687648Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:02:08.8688277Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:02:08.8688947Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:02:08.8689527Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.8689910Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.8690665Z 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]’,
2025-08-14T23:02:08.8691836Z     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,
2025-08-14T23:02:08.8693084Z     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,
2025-08-14T23:02:08.8694767Z     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,
2025-08-14T23:02:08.8696313Z     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,
2025-08-14T23:02:08.8697828Z     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,
2025-08-14T23:02:08.8702129Z     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,
2025-08-14T23:02:08.8709347Z     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:
2025-08-14T23:02:08.8714138Z /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]
2025-08-14T23:02:08.8714974Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:02:08.8715263Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:02:08.8719713Z /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}]’:
2025-08-14T23:02:08.8724380Z /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
2025-08-14T23:02:08.8725277Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:02:08.8725567Z       |        ^~~~~~~~
2025-08-14T23:02:08.8726012Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:02:08.8726697Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:02:08.8727314Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:02:08.8727882Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:02:08.8728404Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:02:08.8728997Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:02:08.8729732Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:02:08.8730518Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:02:08.8731307Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:02:08.8732075Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:02:08.8732767Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:02:08.8733407Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:02:08.8733988Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.8734432Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.8735024Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:02:08.8735580Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:02:08.8735829Z       |                     ^~~~
2025-08-14T23:02:08.8736240Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:02:08.8736829Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:02:08.8737406Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:02:08.8737952Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:02:08.8738466Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:02:08.8739076Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:02:08.8739714Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:02:08.8740357Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:02:08.8740968Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:02:08.8741603Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:02:08.8742260Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:02:08.8742853Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.8743237Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.8743913Z 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]’,
2025-08-14T23:02:08.8744982Z     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,
2025-08-14T23:02:08.8746161Z     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,
2025-08-14T23:02:08.8747360Z     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,
2025-08-14T23:02:08.8748652Z     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,
2025-08-14T23:02:08.8750044Z     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,
2025-08-14T23:02:08.8754177Z     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,
2025-08-14T23:02:08.8761370Z     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:
2025-08-14T23:02:08.8765474Z /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]
2025-08-14T23:02:08.8766129Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:02:08.8766401Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:02:08.8770642Z /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}]’:
2025-08-14T23:02:08.8775050Z /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
2025-08-14T23:02:08.8776002Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:02:08.8776331Z       |        ^~~~~~~~
2025-08-14T23:02:08.8776771Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:02:08.8777465Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:02:08.8778071Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:02:08.8778644Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:02:08.8779175Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:02:08.8779812Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:02:08.8780541Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:02:08.8781357Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:02:08.8782142Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:02:08.8782927Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:02:08.8783647Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:02:08.8784301Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:02:08.8784887Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.8785275Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.8785854Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:02:08.8786379Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:02:08.8786624Z       |                     ^~~~
2025-08-14T23:02:08.8787023Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:02:08.8787616Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:02:08.8788189Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:02:08.8788728Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:02:08.8789243Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:02:08.8789822Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:02:08.8790456Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:02:08.8791063Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:02:08.8791679Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:02:08.8792317Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:02:08.8793018Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:02:08.8793635Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.8794016Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.8794699Z 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]’,
2025-08-14T23:02:08.8795793Z     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,
2025-08-14T23:02:08.8796962Z     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,
2025-08-14T23:02:08.8798211Z     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,
2025-08-14T23:02:08.8799539Z     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,
2025-08-14T23:02:08.8800931Z     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,
2025-08-14T23:02:08.8805089Z     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,
2025-08-14T23:02:08.8811975Z     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:
2025-08-14T23:02:08.8815955Z /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]
2025-08-14T23:02:08.8816661Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:02:08.8816936Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:02:08.8820949Z /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}]’:
2025-08-14T23:02:08.8835732Z /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
2025-08-14T23:02:08.8836756Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:02:08.8837069Z       |        ^~~~~~~~
2025-08-14T23:02:08.8837530Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:02:08.8838234Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:02:08.8838857Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:02:08.8839428Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:02:08.8839944Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:02:08.8840623Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:02:08.8841352Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:02:08.8842273Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:02:08.8843055Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:02:08.8843827Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:02:08.8844519Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:02:08.8845201Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:02:08.8845796Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.8846183Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.8846855Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:02:08.8847394Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:02:08.8847639Z       |                     ^~~~
2025-08-14T23:02:08.8848076Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:02:08.8848683Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:02:08.8849245Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:02:08.8849789Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:02:08.8850306Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:02:08.8850889Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:02:08.8851529Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:02:08.8852132Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:02:08.8852735Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:02:08.8853376Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:02:08.8854042Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:02:08.8854618Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.8855003Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.8855716Z 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]’,
2025-08-14T23:02:08.8856797Z     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,
2025-08-14T23:02:08.8857983Z     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,
2025-08-14T23:02:08.8859240Z     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,
2025-08-14T23:02:08.8860573Z     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,
2025-08-14T23:02:08.8861960Z     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,
2025-08-14T23:02:08.8865990Z     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,
2025-08-14T23:02:08.8872652Z     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:
2025-08-14T23:02:08.8876508Z /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]
2025-08-14T23:02:08.8877172Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:02:08.8877446Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:02:08.8881470Z /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}]’:
2025-08-14T23:02:08.8885871Z /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
2025-08-14T23:02:08.8886764Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:02:08.8887064Z       |        ^~~~~~~~
2025-08-14T23:02:08.8887545Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:02:08.8888242Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:02:08.8888872Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:02:08.8889438Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:02:08.8889967Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:02:08.8890550Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:02:08.8891277Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:02:08.8892062Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:02:08.8892853Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:02:08.8893623Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:02:08.8894319Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:02:08.8894971Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:02:08.8895559Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.8895948Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.8896527Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:02:08.8897042Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:02:08.8897290Z       |                     ^~~~
2025-08-14T23:02:08.8897694Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:02:08.8898285Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:02:08.8898847Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:02:08.8899482Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:02:08.8900042Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:02:08.8900624Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:02:08.8901270Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:02:08.8901887Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:02:08.8902491Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:02:08.8903174Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:02:08.8903844Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:02:08.8904432Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.8904854Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.8905536Z 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]’,
2025-08-14T23:02:08.8906611Z     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,
2025-08-14T23:02:08.8907808Z     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,
2025-08-14T23:02:08.8909017Z     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,
2025-08-14T23:02:08.8910308Z     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,
2025-08-14T23:02:08.8911919Z     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,
2025-08-14T23:02:08.8916080Z     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,
2025-08-14T23:02:08.8923313Z     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:
2025-08-14T23:02:08.8927442Z /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]
2025-08-14T23:02:08.8928112Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:02:08.8928393Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:02:08.8932622Z /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}]’:
2025-08-14T23:02:08.8937056Z /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
2025-08-14T23:02:08.8937954Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:02:08.8938252Z       |        ^~~~~~~~
2025-08-14T23:02:08.8938694Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:02:08.8939394Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:02:08.8940023Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:02:08.8940642Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:02:08.8941176Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:02:08.8941814Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:02:08.8942547Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:02:08.8943328Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:02:08.8944120Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:02:08.8944934Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:02:08.8945642Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:02:08.8946302Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:02:08.8946928Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.8947315Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.8947905Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:02:08.8948420Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:02:08.8948668Z       |                     ^~~~
2025-08-14T23:02:08.8949087Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:02:08.8949689Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:02:08.8950252Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:02:08.8950800Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:02:08.8951316Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:02:08.8951883Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:02:08.8952521Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:02:08.8953135Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:02:08.8953749Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:02:08.8954393Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:02:08.8955054Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:02:08.8955638Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.8956021Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.8956705Z 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]’,
2025-08-14T23:02:08.8957787Z     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,
2025-08-14T23:02:08.8959029Z     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,
2025-08-14T23:02:08.8960931Z     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,
2025-08-14T23:02:08.8962282Z     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,
2025-08-14T23:02:08.8963722Z     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,
2025-08-14T23:02:08.8967751Z     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,
2025-08-14T23:02:08.8974366Z     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:
2025-08-14T23:02:08.8978219Z /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]
2025-08-14T23:02:08.8978875Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:02:08.8979146Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:02:08.8983179Z /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}]’:
2025-08-14T23:02:08.8987524Z /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
2025-08-14T23:02:08.8988415Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:02:08.8988717Z       |        ^~~~~~~~
2025-08-14T23:02:08.8989160Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:02:08.8989848Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:02:08.8990466Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:02:08.8991044Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:02:08.8991579Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:02:08.8992152Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:02:08.8992884Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:02:08.8993672Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:02:08.8994455Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:02:08.8995238Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:02:08.8995950Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:02:08.8996603Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:02:08.8997182Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.8997569Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.8998154Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:02:08.8998671Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:02:08.8998914Z       |                     ^~~~
2025-08-14T23:02:08.8999366Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:02:08.8999963Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:02:08.9000575Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:02:08.9001121Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:02:08.9001637Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:02:08.9002265Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:02:08.9002892Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:02:08.9003543Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:02:08.9004152Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:02:08.9004821Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:02:08.9005524Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:02:08.9006107Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.9006503Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.9007197Z 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]’,
2025-08-14T23:02:08.9008284Z     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,
2025-08-14T23:02:08.9009454Z     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,
2025-08-14T23:02:08.9010668Z     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,
2025-08-14T23:02:08.9012153Z     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,
2025-08-14T23:02:08.9013557Z     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,
2025-08-14T23:02:08.9017729Z     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,
2025-08-14T23:02:08.9025038Z     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:
2025-08-14T23:02:08.9029104Z /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]
2025-08-14T23:02:08.9029760Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:02:08.9030037Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:02:08.9034258Z /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}]’:
2025-08-14T23:02:08.9038792Z /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
2025-08-14T23:02:08.9039677Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:02:08.9039979Z       |        ^~~~~~~~
2025-08-14T23:02:08.9040415Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:02:08.9041164Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:02:08.9041820Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:02:08.9042449Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:02:08.9042981Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:02:08.9043564Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:02:08.9044293Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:02:08.9045077Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:02:08.9045929Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:02:08.9046712Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:02:08.9047435Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:02:08.9048097Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:02:08.9048672Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.9049054Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.9049635Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:02:08.9050152Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:02:08.9050412Z       |                     ^~~~
2025-08-14T23:02:08.9050822Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:02:08.9051415Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:02:08.9051972Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:02:08.9052516Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:02:08.9053027Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:02:08.9053601Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:02:08.9054237Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:02:08.9054849Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:02:08.9055472Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:02:08.9056115Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:02:08.9056770Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:02:08.9057355Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.9057785Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.9058482Z 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]’,
2025-08-14T23:02:08.9059617Z     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,
2025-08-14T23:02:08.9060802Z     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,
2025-08-14T23:02:08.9062010Z     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,
2025-08-14T23:02:08.9063331Z     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,
2025-08-14T23:02:08.9064765Z     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,
2025-08-14T23:02:08.9068735Z     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,
2025-08-14T23:02:08.9075352Z     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:
2025-08-14T23:02:08.9079208Z /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]
2025-08-14T23:02:08.9079921Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:02:08.9080203Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:02:08.9084354Z /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}]’:
2025-08-14T23:02:08.9088601Z /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
2025-08-14T23:02:08.9089503Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:02:08.9089796Z       |        ^~~~~~~~
2025-08-14T23:02:08.9090241Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:02:08.9090949Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:02:08.9091563Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:02:08.9092134Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:02:08.9092666Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:02:08.9093243Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:02:08.9093963Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:02:08.9094753Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:02:08.9095541Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:02:08.9096312Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:02:08.9097010Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:02:08.9097653Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:02:08.9098234Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.9098624Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.9099261Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:02:08.9099782Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:02:08.9100070Z       |                     ^~~~
2025-08-14T23:02:08.9100470Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:02:08.9101057Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:02:08.9101617Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:02:08.9102166Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:02:08.9102683Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:02:08.9103290Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:02:08.9103928Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:02:08.9104542Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:02:08.9105187Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:02:08.9105828Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:02:08.9106493Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:02:08.9107076Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.9107461Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.9108147Z 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]’,
2025-08-14T23:02:08.9109239Z     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,
2025-08-14T23:02:08.9110418Z     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,
2025-08-14T23:02:08.9111629Z     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,
2025-08-14T23:02:08.9113098Z     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,
2025-08-14T23:02:08.9114493Z     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,
2025-08-14T23:02:08.9118434Z     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,
2025-08-14T23:02:08.9125390Z     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:
2025-08-14T23:02:08.9129259Z /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]
2025-08-14T23:02:08.9129923Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:02:08.9130198Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:02:08.9134222Z /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}]’:
2025-08-14T23:02:08.9138446Z /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
2025-08-14T23:02:08.9139335Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:02:08.9139633Z       |        ^~~~~~~~
2025-08-14T23:02:08.9140077Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:02:08.9140827Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:02:08.9141497Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:02:08.9142069Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:02:08.9142593Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:02:08.9143165Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:02:08.9143890Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:02:08.9144719Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:02:08.9145515Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:02:08.9146320Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:02:08.9147022Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:02:08.9147666Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:02:08.9148250Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.9148628Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.9149213Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:02:08.9149726Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:02:08.9149976Z       |                     ^~~~
2025-08-14T23:02:08.9150374Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:02:08.9150982Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:02:08.9151544Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:02:08.9152086Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:02:08.9152596Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:02:08.9153178Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:02:08.9153815Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:02:08.9154428Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:02:08.9155035Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:02:08.9155673Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:02:08.9156337Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:02:08.9156930Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.9157375Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.9158067Z 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]’,
2025-08-14T23:02:08.9159207Z     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,
2025-08-14T23:02:08.9160396Z     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,
2025-08-14T23:02:08.9161608Z     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,
2025-08-14T23:02:08.9163015Z     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,
2025-08-14T23:02:08.9164465Z     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,
2025-08-14T23:02:08.9168449Z     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,
2025-08-14T23:02:08.9175112Z     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:
2025-08-14T23:02:08.9178979Z /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]
2025-08-14T23:02:08.9179692Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:02:08.9180010Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:02:08.9184062Z /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}]’:
2025-08-14T23:02:08.9188323Z /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
2025-08-14T23:02:08.9189229Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:02:08.9189530Z       |        ^~~~~~~~
2025-08-14T23:02:08.9189987Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:02:08.9190682Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:02:08.9191308Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:02:08.9191882Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:02:08.9192415Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:02:08.9192991Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:02:08.9193733Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:02:08.9194540Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:02:08.9195337Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:02:08.9196112Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:02:08.9196817Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:02:08.9197469Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:02:08.9198056Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.9198520Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.9199101Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:02:08.9199673Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:02:08.9199922Z       |                     ^~~~
2025-08-14T23:02:08.9200329Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:02:08.9200928Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:02:08.9201497Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:02:08.9202131Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:02:08.9202649Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:02:08.9203278Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:02:08.9203919Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:02:08.9204567Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:02:08.9205175Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:02:08.9205831Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:02:08.9206498Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:02:08.9207082Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.9207468Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.9208162Z 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]’,
2025-08-14T23:02:08.9209249Z     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,
2025-08-14T23:02:08.9210440Z     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,
2025-08-14T23:02:08.9211651Z     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,
2025-08-14T23:02:08.9213110Z     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,
2025-08-14T23:02:08.9214512Z     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,
2025-08-14T23:02:08.9218475Z     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,
2025-08-14T23:02:08.9225384Z     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:
2025-08-14T23:02:08.9229258Z /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]
2025-08-14T23:02:08.9229919Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:02:08.9230192Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:02:08.9234190Z /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}]’:
2025-08-14T23:02:08.9238462Z /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
2025-08-14T23:02:08.9239364Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:02:08.9239705Z       |        ^~~~~~~~
2025-08-14T23:02:08.9240145Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:02:08.9240882Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:02:08.9241507Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:02:08.9242142Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:02:08.9242671Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:02:08.9243251Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:02:08.9243980Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:02:08.9244821Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:02:08.9245621Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:02:08.9246430Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:02:08.9247129Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:02:08.9247781Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:02:08.9248369Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.9248760Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.9249337Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:02:08.9249855Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:02:08.9250096Z       |                     ^~~~
2025-08-14T23:02:08.9250502Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:02:08.9251108Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:02:08.9251664Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:02:08.9252210Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:02:08.9252725Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:02:08.9253309Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:02:08.9253944Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:02:08.9254563Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:02:08.9255169Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:02:08.9255813Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:02:08.9256473Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:02:08.9257117Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.9257506Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.9258236Z 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]’,
2025-08-14T23:02:08.9259320Z     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,
2025-08-14T23:02:08.9260502Z     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,
2025-08-14T23:02:08.9261715Z     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,
2025-08-14T23:02:08.9263143Z     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,
2025-08-14T23:02:08.9264615Z     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,
2025-08-14T23:02:08.9268596Z     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,
2025-08-14T23:02:08.9275242Z     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:
2025-08-14T23:02:08.9279129Z /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]
2025-08-14T23:02:08.9279817Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:02:08.9280088Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:02:08.9284245Z /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}]’:
2025-08-14T23:02:08.9288496Z /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
2025-08-14T23:02:08.9289384Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:02:08.9289681Z       |        ^~~~~~~~
2025-08-14T23:02:08.9290124Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:02:08.9290833Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:02:08.9291450Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:02:08.9292016Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:02:08.9292545Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:02:08.9293123Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:02:08.9293850Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:02:08.9294640Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:02:08.9295432Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:02:08.9296204Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:02:08.9296907Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:02:08.9297555Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:02:08.9298140Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.9298576Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.9299157Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:02:08.9299724Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:02:08.9299970Z       |                     ^~~~
2025-08-14T23:02:08.9300379Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:02:08.9300973Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:02:08.9301533Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:02:08.9302078Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:02:08.9302648Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:02:08.9303235Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:02:08.9303882Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:02:08.9304538Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:02:08.9305156Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:02:08.9305800Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:02:08.9306471Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:02:08.9307062Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.9307447Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.9308141Z 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]’,
2025-08-14T23:02:08.9309241Z     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,
2025-08-14T23:02:08.9310433Z     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,
2025-08-14T23:02:08.9311654Z     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,
2025-08-14T23:02:08.9313144Z     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,
2025-08-14T23:02:08.9314558Z     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,
2025-08-14T23:02:08.9318746Z     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,
2025-08-14T23:02:08.9326169Z     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:
2025-08-14T23:02:08.9330227Z /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]
2025-08-14T23:02:08.9330885Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:02:08.9331163Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:02:08.9335385Z /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}]’:
2025-08-14T23:02:08.9339812Z /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
2025-08-14T23:02:08.9340756Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:02:08.9341096Z       |        ^~~~~~~~
2025-08-14T23:02:08.9341544Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:02:08.9342239Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:02:08.9342854Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:02:08.9343429Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:02:08.9343979Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:02:08.9344615Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:02:08.9345345Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:02:08.9346170Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:02:08.9346977Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:02:08.9347753Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:02:08.9348452Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:02:08.9349123Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:02:08.9349713Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.9350095Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.9350672Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:02:08.9351198Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:02:08.9351446Z       |                     ^~~~
2025-08-14T23:02:08.9351854Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:02:08.9352445Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:02:08.9353021Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:02:08.9353573Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:02:08.9354093Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:02:08.9354676Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:02:08.9355318Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:02:08.9355935Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:02:08.9356545Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:02:08.9357238Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:02:08.9357910Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:02:08.9358554Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.9358946Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.9359629Z 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]’,
2025-08-14T23:02:08.9360717Z     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,
2025-08-14T23:02:08.9362006Z     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,
2025-08-14T23:02:08.9363242Z     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,
2025-08-14T23:02:08.9364581Z     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,
2025-08-14T23:02:08.9365987Z     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,
2025-08-14T23:02:08.9370268Z     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,
2025-08-14T23:02:08.9377460Z     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:
2025-08-14T23:02:08.9381600Z /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]
2025-08-14T23:02:08.9382254Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:02:08.9382522Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:02:08.9386874Z /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}]’:
2025-08-14T23:02:08.9391390Z /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
2025-08-14T23:02:08.9392277Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:02:08.9392574Z       |        ^~~~~~~~
2025-08-14T23:02:08.9393019Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:02:08.9393718Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:02:08.9394358Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:02:08.9394931Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:02:08.9395465Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:02:08.9396047Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:02:08.9396774Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:02:08.9397563Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:02:08.9398360Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:02:08.9399194Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:02:08.9399927Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:02:08.9400583Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:02:08.9401173Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.9401567Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.9402190Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:02:08.9402711Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:02:08.9402959Z       |                     ^~~~
2025-08-14T23:02:08.9403417Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:02:08.9404018Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:02:08.9404624Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:02:08.9405170Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:02:08.9405692Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:02:08.9406267Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:02:08.9406925Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:02:08.9407553Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:02:08.9408168Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:02:08.9408821Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:02:08.9409490Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:02:08.9410079Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.9410466Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.9411152Z 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]’,
2025-08-14T23:02:08.9412412Z     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,
2025-08-14T23:02:08.9413618Z     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,
2025-08-14T23:02:08.9414841Z     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,
2025-08-14T23:02:08.9416148Z     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,
2025-08-14T23:02:08.9417640Z     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,
2025-08-14T23:02:08.9422113Z     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,
2025-08-14T23:02:08.9429353Z     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:
2025-08-14T23:02:08.9433494Z /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]
2025-08-14T23:02:08.9434158Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:02:08.9434427Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:02:08.9438744Z /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}]’:
2025-08-14T23:02:08.9443433Z /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
2025-08-14T23:02:08.9444325Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:02:08.9444627Z       |        ^~~~~~~~
2025-08-14T23:02:08.9445119Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:02:08.9445829Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:02:08.9446485Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:02:08.9447069Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:02:08.9447602Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:02:08.9448205Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:02:08.9448933Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:02:08.9449724Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:02:08.9450517Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:02:08.9451293Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:02:08.9451990Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:02:08.9452642Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:02:08.9453239Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.9453635Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.9454211Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:02:08.9454739Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:02:08.9454987Z       |                     ^~~~
2025-08-14T23:02:08.9455408Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:02:08.9456008Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:02:08.9456575Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:02:08.9457126Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:02:08.9457637Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:02:08.9458272Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:02:08.9458954Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:02:08.9459577Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:02:08.9460192Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:02:08.9460843Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:02:08.9461518Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:02:08.9462145Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.9462532Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.9463224Z 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]’,
2025-08-14T23:02:08.9464359Z     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,
2025-08-14T23:02:08.9465556Z     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,
2025-08-14T23:02:08.9466783Z     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,
2025-08-14T23:02:08.9468088Z     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,
2025-08-14T23:02:08.9469500Z     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,
2025-08-14T23:02:08.9473772Z     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,
2025-08-14T23:02:08.9481019Z     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:
2025-08-14T23:02:08.9485248Z /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]
2025-08-14T23:02:08.9485947Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:02:08.9486220Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:02:08.9490525Z /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}]’:
2025-08-14T23:02:08.9495023Z /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
2025-08-14T23:02:08.9495918Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:02:08.9496220Z       |        ^~~~~~~~
2025-08-14T23:02:08.9496678Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:02:08.9497375Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:02:08.9497986Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:02:08.9498558Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:02:08.9499161Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:02:08.9499747Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:02:08.9500512Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:02:08.9501304Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:02:08.9502094Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:02:08.9502867Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:02:08.9503561Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:02:08.9504254Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:02:08.9504847Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.9505236Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.9505857Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:02:08.9506387Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:02:08.9506638Z       |                     ^~~~
2025-08-14T23:02:08.9507041Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:02:08.9507642Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:02:08.9508223Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:02:08.9508768Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:02:08.9509287Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:02:08.9509875Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:02:08.9510514Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:02:08.9511134Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:02:08.9511969Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:02:08.9512644Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:02:08.9513320Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:02:08.9513917Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.9514301Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.9515010Z 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]’,
2025-08-14T23:02:08.9516097Z     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,
2025-08-14T23:02:08.9517292Z     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,
2025-08-14T23:02:08.9518679Z     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,
2025-08-14T23:02:08.9519981Z     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,
2025-08-14T23:02:08.9521390Z     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,
2025-08-14T23:02:08.9525839Z     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,
2025-08-14T23:02:08.9533050Z     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:
2025-08-14T23:02:08.9537177Z /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]
2025-08-14T23:02:08.9537838Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:02:08.9538108Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:02:08.9542466Z /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}]’:
2025-08-14T23:02:08.9547060Z /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
2025-08-14T23:02:08.9547952Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:02:08.9548253Z       |        ^~~~~~~~
2025-08-14T23:02:08.9548691Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:02:08.9549388Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:02:08.9550013Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:02:08.9550581Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:02:08.9551112Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:02:08.9551697Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:02:08.9552420Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:02:08.9553209Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:02:08.9554002Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:02:08.9554778Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:02:08.9555477Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:02:08.9556144Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:02:08.9556733Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.9557126Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.9557701Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:02:08.9558224Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:02:08.9558516Z       |                     ^~~~
2025-08-14T23:02:08.9558925Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:02:08.9559569Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:02:08.9560148Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:02:08.9560702Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:02:08.9561215Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:02:08.9561802Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:02:08.9562515Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:02:08.9563173Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:02:08.9563801Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:02:08.9564516Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:02:08.9565188Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:02:08.9565776Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.9566166Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.9566863Z 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]’,
2025-08-14T23:02:08.9567970Z     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,
2025-08-14T23:02:08.9569172Z     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,
2025-08-14T23:02:08.9570390Z     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,
2025-08-14T23:02:08.9571688Z     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,
2025-08-14T23:02:08.9573106Z     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,
2025-08-14T23:02:08.9577360Z     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,
2025-08-14T23:02:08.9584802Z     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:
2025-08-14T23:02:08.9588900Z /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]
2025-08-14T23:02:08.9589567Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:02:08.9589841Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:02:08.9594136Z /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}]’:
2025-08-14T23:02:08.9598636Z /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
2025-08-14T23:02:08.9599523Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:02:08.9599876Z       |        ^~~~~~~~
2025-08-14T23:02:08.9600320Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:02:08.9601058Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:02:08.9601686Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:02:08.9602304Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:02:08.9602847Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:02:08.9603435Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:02:08.9604195Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:02:08.9604996Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:02:08.9605828Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:02:08.9606609Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:02:08.9607308Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:02:08.9607974Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:02:08.9608569Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.9620447Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.9621156Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:02:08.9621699Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:02:08.9621955Z       |                     ^~~~
2025-08-14T23:02:08.9622376Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:02:08.9622980Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:02:08.9623541Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:02:08.9624078Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:02:08.9624598Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:02:08.9625172Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:02:08.9625814Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:02:08.9626424Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:02:08.9627027Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:02:08.9627659Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:02:08.9628336Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:02:08.9629082Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.9629534Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.9630256Z 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]’,
2025-08-14T23:02:08.9631362Z     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,
2025-08-14T23:02:08.9632554Z     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,
2025-08-14T23:02:08.9633825Z     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,
2025-08-14T23:02:08.9635116Z     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,
2025-08-14T23:02:08.9636581Z     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,
2025-08-14T23:02:08.9640817Z     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,
2025-08-14T23:02:08.9648112Z     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:
2025-08-14T23:02:08.9652279Z /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]
2025-08-14T23:02:08.9652940Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:02:08.9653218Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:02:08.9657647Z /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}]’:
2025-08-14T23:02:08.9662133Z /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
2025-08-14T23:02:08.9663030Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:02:08.9663322Z       |        ^~~~~~~~
2025-08-14T23:02:08.9663761Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:02:08.9664459Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:02:08.9665073Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:02:08.9665636Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:02:08.9666169Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:02:08.9666747Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:02:08.9667497Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:02:08.9668285Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:02:08.9669072Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:02:08.9669839Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:02:08.9670603Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:02:08.9671253Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:02:08.9671876Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.9672271Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.9672857Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:02:08.9673373Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:02:08.9673621Z       |                     ^~~~
2025-08-14T23:02:08.9674022Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:02:08.9674610Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:02:08.9675224Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:02:08.9675776Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:02:08.9676331Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:02:08.9676898Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:02:08.9677536Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:02:08.9678142Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:02:08.9678750Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:02:08.9679392Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:02:08.9680055Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:02:08.9680633Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.9681014Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.9681702Z 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]’,
2025-08-14T23:02:08.9682861Z     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,
2025-08-14T23:02:08.9684047Z     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,
2025-08-14T23:02:08.9685255Z     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,
2025-08-14T23:02:08.9686543Z     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,
2025-08-14T23:02:08.9687944Z     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,
2025-08-14T23:02:08.9692290Z     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,
2025-08-14T23:02:08.9699555Z     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:
2025-08-14T23:02:08.9703612Z /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]
2025-08-14T23:02:08.9704266Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:02:08.9704538Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:02:08.9708839Z /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}]’:
2025-08-14T23:02:08.9713621Z /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
2025-08-14T23:02:08.9714529Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:02:08.9714824Z       |        ^~~~~~~~
2025-08-14T23:02:08.9715268Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:02:08.9715965Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:02:08.9716671Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:02:08.9717243Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:02:08.9717830Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:02:08.9718414Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:02:08.9719138Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:02:08.9719922Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:02:08.9720708Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:02:08.9721477Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:02:08.9722259Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:02:08.9722909Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:02:08.9723500Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.9723888Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.9724471Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:02:08.9724991Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:02:08.9725240Z       |                     ^~~~
2025-08-14T23:02:08.9725644Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:02:08.9726234Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:02:08.9726809Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:02:08.9727351Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:02:08.9727865Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:02:08.9728437Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:02:08.9729148Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:02:08.9729755Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:02:08.9730440Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:02:08.9731083Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:02:08.9731751Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:02:08.9732336Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.9732736Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.9733466Z 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]’,
2025-08-14T23:02:08.9734569Z     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,
2025-08-14T23:02:08.9735803Z     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,
2025-08-14T23:02:08.9737020Z     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,
2025-08-14T23:02:08.9738309Z     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,
2025-08-14T23:02:08.9739713Z     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,
2025-08-14T23:02:08.9743959Z     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,
2025-08-14T23:02:08.9751165Z     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:
2025-08-14T23:02:08.9755358Z /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]
2025-08-14T23:02:08.9756019Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:02:08.9756302Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:02:08.9760637Z /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}]’:
2025-08-14T23:02:08.9765195Z /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
2025-08-14T23:02:08.9766094Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:02:08.9766393Z       |        ^~~~~~~~
2025-08-14T23:02:08.9766832Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:02:08.9767536Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:02:08.9768148Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:02:08.9768717Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:02:08.9769244Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:02:08.9769826Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:02:08.9770613Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:02:08.9771449Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:02:08.9772251Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:02:08.9773035Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:02:08.9773748Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:02:08.9774407Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:02:08.9775037Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.9775429Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.9776008Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:02:08.9776541Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:02:08.9776829Z       |                     ^~~~
2025-08-14T23:02:08.9777243Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:02:08.9777848Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:02:08.9778414Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:02:08.9778977Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:02:08.9779501Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:02:08.9780089Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:02:08.9780733Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:02:08.9781359Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:02:08.9781977Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:02:08.9782625Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:02:08.9783291Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:02:08.9783884Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.9784274Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.9784966Z 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]’,
2025-08-14T23:02:08.9786047Z     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,
2025-08-14T23:02:08.9787238Z     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,
2025-08-14T23:02:08.9788450Z     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,
2025-08-14T23:02:08.9789830Z     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,
2025-08-14T23:02:08.9791233Z     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,
2025-08-14T23:02:08.9795265Z     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,
2025-08-14T23:02:08.9801994Z     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:
2025-08-14T23:02:08.9805814Z /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]
2025-08-14T23:02:08.9806474Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:02:08.9806752Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:02:08.9810732Z /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}]’:
2025-08-14T23:02:08.9815247Z /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
2025-08-14T23:02:08.9816233Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:02:08.9816530Z       |        ^~~~~~~~
2025-08-14T23:02:08.9816978Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:02:08.9817729Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:02:08.9818348Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:02:08.9818915Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:02:08.9819447Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:02:08.9820030Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:02:08.9820759Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:02:08.9821547Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:02:08.9822353Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:02:08.9823126Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:02:08.9823824Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:02:08.9824476Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:02:08.9825067Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.9825457Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.9826046Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:02:08.9826572Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:02:08.9826827Z       |                     ^~~~
2025-08-14T23:02:08.9827232Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:02:08.9827822Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:02:08.9828389Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:02:08.9828996Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:02:08.9829514Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:02:08.9830148Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:02:08.9830798Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:02:08.9831413Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:02:08.9832017Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:02:08.9832654Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:02:08.9833354Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:02:08.9833942Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.9834336Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.9835065Z 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]’,
2025-08-14T23:02:08.9836150Z     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,
2025-08-14T23:02:08.9837327Z     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,
2025-08-14T23:02:08.9838541Z     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,
2025-08-14T23:02:08.9839838Z     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,
2025-08-14T23:02:08.9841224Z     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,
2025-08-14T23:02:08.9845522Z     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,
2025-08-14T23:02:08.9852820Z     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:
2025-08-14T23:02:08.9856903Z /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]
2025-08-14T23:02:08.9857556Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:02:08.9857843Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:02:08.9862152Z /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}]’:
2025-08-14T23:02:08.9866662Z /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
2025-08-14T23:02:08.9867599Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:02:08.9867900Z       |        ^~~~~~~~
2025-08-14T23:02:08.9868348Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:02:08.9869043Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:02:08.9869656Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:02:08.9870269Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:02:08.9870800Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:02:08.9871401Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:02:08.9872183Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:02:08.9872993Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:02:08.9873785Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:02:08.9874560Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:02:08.9875270Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:02:08.9875926Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:02:08.9876519Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.9876909Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.9877487Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:02:08.9878013Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:02:08.9878263Z       |                     ^~~~
2025-08-14T23:02:08.9878671Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:02:08.9879267Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:02:08.9879833Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:02:08.9880380Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:02:08.9880897Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:02:08.9881467Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:02:08.9882241Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:02:08.9882859Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:02:08.9883537Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:02:08.9884219Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:02:08.9884886Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:02:08.9885469Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.9885853Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.9886544Z 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]’,
2025-08-14T23:02:08.9887677Z     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,
2025-08-14T23:02:08.9888881Z     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,
2025-08-14T23:02:08.9890143Z     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,
2025-08-14T23:02:08.9891441Z     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,
2025-08-14T23:02:08.9892855Z     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,
2025-08-14T23:02:08.9897104Z     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,
2025-08-14T23:02:08.9904311Z     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:
2025-08-14T23:02:08.9908534Z /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]
2025-08-14T23:02:08.9909176Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:02:08.9909445Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:02:08.9914053Z /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}]’:
2025-08-14T23:02:08.9918603Z /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
2025-08-14T23:02:08.9919507Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:02:08.9919799Z       |        ^~~~~~~~
2025-08-14T23:02:08.9920245Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:02:08.9920954Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:02:08.9921567Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:02:08.9922217Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:02:08.9922753Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:02:08.9923339Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:02:08.9924064Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:02:08.9924859Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:02:08.9925735Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:02:08.9926566Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:02:08.9927261Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:02:08.9927917Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:02:08.9928509Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.9928899Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.9929482Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:02:08.9930065Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:02:08.9930320Z       |                     ^~~~
2025-08-14T23:02:08.9930725Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:02:08.9931352Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:02:08.9931923Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:02:08.9932469Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:02:08.9932989Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:02:08.9933563Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:02:08.9934206Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:02:08.9934827Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:02:08.9935441Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:02:08.9936090Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:02:08.9936750Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:02:08.9937330Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.9937719Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.9938424Z 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]’,
2025-08-14T23:02:08.9939514Z     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,
2025-08-14T23:02:08.9940718Z     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,
2025-08-14T23:02:08.9941935Z     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,
2025-08-14T23:02:08.9943227Z     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,
2025-08-14T23:02:08.9944722Z     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,
2025-08-14T23:02:08.9949037Z     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,
2025-08-14T23:02:08.9956204Z     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:
2025-08-14T23:02:08.9960305Z /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]
2025-08-14T23:02:08.9960966Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:02:08.9961235Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:02:08.9965613Z /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}]’:
2025-08-14T23:02:08.9970198Z /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
2025-08-14T23:02:08.9971127Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:02:08.9971434Z       |        ^~~~~~~~
2025-08-14T23:02:08.9971878Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:02:08.9972892Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:02:08.9973521Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:02:08.9974105Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:02:08.9974639Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:02:08.9975230Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:02:08.9975961Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:02:08.9976763Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:02:08.9977583Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:02:08.9978372Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:02:08.9979071Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:02:08.9979724Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:02:08.9980326Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.9980721Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.9981306Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:02:08.9981828Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:02:08.9982080Z       |                     ^~~~
2025-08-14T23:02:08.9982494Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:02:08.9983088Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:02:08.9983654Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:02:08.9984256Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:02:08.9984792Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:02:08.9985415Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:02:08.9986052Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:02:08.9986665Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:02:08.9987285Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:02:08.9987934Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:02:08.9988633Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:02:08.9989236Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:08.9989625Z                  from rng_extension.cpp:1:
2025-08-14T23:02:08.9990351Z 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]’,
2025-08-14T23:02:08.9991440Z     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,
2025-08-14T23:02:08.9992635Z     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,
2025-08-14T23:02:08.9993860Z     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,
2025-08-14T23:02:08.9995153Z     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,
2025-08-14T23:02:08.9996554Z     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,
2025-08-14T23:02:09.0000471Z     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,
2025-08-14T23:02:09.0007240Z     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:
2025-08-14T23:02:09.0011165Z /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]
2025-08-14T23:02:09.0012107Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:02:09.0012381Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:02:09.0016424Z /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}]’:
2025-08-14T23:02:09.0020709Z /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
2025-08-14T23:02:09.0021614Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:02:09.0021924Z       |        ^~~~~~~~
2025-08-14T23:02:09.0022363Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:02:09.0023079Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:02:09.0023704Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:02:09.0024282Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:02:09.0024823Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:02:09.0025482Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:02:09.0026219Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:02:09.0027094Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:02:09.0027889Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:02:09.0028659Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:02:09.0029359Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:02:09.0030074Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:02:09.0030671Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:09.0031055Z                  from rng_extension.cpp:1:
2025-08-14T23:02:09.0031696Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:02:09.0032228Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:02:09.0032481Z       |                     ^~~~
2025-08-14T23:02:09.0032884Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:02:09.0033488Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:02:09.0034058Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:02:09.0034615Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:02:09.0035133Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:02:09.0035713Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:02:09.0036351Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:02:09.0036967Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:02:09.0037576Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:02:09.0038233Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:02:09.0038916Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:02:09.0039504Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:09.0039887Z                  from rng_extension.cpp:1:
2025-08-14T23:02:09.0040581Z 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]’,
2025-08-14T23:02:09.0041675Z     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,
2025-08-14T23:02:09.0042927Z     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,
2025-08-14T23:02:09.0044200Z     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,
2025-08-14T23:02:09.0045545Z     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,
2025-08-14T23:02:09.0046955Z     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,
2025-08-14T23:02:09.0051290Z     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,
2025-08-14T23:02:09.0058526Z     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:
2025-08-14T23:02:09.0062637Z /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]
2025-08-14T23:02:09.0063286Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:02:09.0063560Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:02:09.0067910Z /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}]’:
2025-08-14T23:02:09.0072534Z /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
2025-08-14T23:02:09.0073437Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:02:09.0073750Z       |        ^~~~~~~~
2025-08-14T23:02:09.0074193Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:02:09.0074885Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:02:09.0075500Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:02:09.0076082Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:02:09.0076619Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:02:09.0077200Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:02:09.0077931Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:02:09.0078721Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:02:09.0079516Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:02:09.0080296Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:02:09.0080999Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:02:09.0081656Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:02:09.0082314Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:02:09.0082700Z                  from rng_extension.cpp:1:
2025-08-14T23:02:09.0083296Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:02:09.0083816Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:02:09.0084068Z       |                     ^~~~
2025-08-14T23:02:09.0085610Z 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
2025-08-14T23:02:09.3449618Z building 'torch_test_cpp_extension.cuda' extension
2025-08-14T23:02:09.3454300Z 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 -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1016\" -DTORCH_EXTENSION_NAME=cuda -std=c++17
2025-08-14T23:02:10.2110363Z /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 -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1016\" -DTORCH_EXTENSION_NAME=cuda -gencode=arch=compute_50,code=sm_50 -gencode=arch=compute_52,code=compute_52 -gencode=arch=compute_52,code=sm_52 -std=c++17
2025-08-14T23:02:10.2124963Z nvcc warning : Support for offline compilation for architectures prior to '<compute/sm/lto>_75' will be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
2025-08-14T23:02:30.9375282Z /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 -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1016\" -DTORCH_EXTENSION_NAME=cuda -gencode=arch=compute_50,code=sm_50 -gencode=arch=compute_52,code=compute_52 -gencode=arch=compute_52,code=sm_52 -std=c++17
2025-08-14T23:02:30.9388228Z nvcc warning : Support for offline compilation for architectures prior to '<compute/sm/lto>_75' will be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
2025-08-14T23:02:51.5994953Z 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
2025-08-14T23:02:52.1048541Z building 'torch_test_cpp_extension.torch_library' extension
2025-08-14T23:02:52.1053099Z /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 -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1016\" -DTORCH_EXTENSION_NAME=torch_library -gencode=arch=compute_50,code=sm_50 -gencode=arch=compute_52,code=compute_52 -gencode=arch=compute_52,code=sm_52 -std=c++17
2025-08-14T23:02:52.1067058Z nvcc warning : Support for offline compilation for architectures prior to '<compute/sm/lto>_75' will be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
2025-08-14T23:03:38.0570739Z 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
2025-08-14T23:03:38.3797088Z building 'torch_test_cpp_extension.cublas_extension' extension
2025-08-14T23:03:38.3801242Z 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 -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1016\" -DTORCH_EXTENSION_NAME=cublas_extension -std=c++17
2025-08-14T23:03:39.3085463Z 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
2025-08-14T23:03:39.5455547Z building 'torch_test_cpp_extension.cusolver_extension' extension
2025-08-14T23:03:39.5459906Z 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 -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1016\" -DTORCH_EXTENSION_NAME=cusolver_extension -std=c++17
2025-08-14T23:03:40.4672438Z 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
2025-08-14T23:03:40.7126965Z running install_lib
2025-08-14T23:03:40.7203008Z 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
2025-08-14T23:03:40.7298694Z 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
2025-08-14T23:03:40.7395641Z 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
2025-08-14T23:03:40.7495872Z 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
2025-08-14T23:03:40.7582450Z 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
2025-08-14T23:03:40.7586448Z 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
2025-08-14T23:03:40.7589702Z 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
2025-08-14T23:03:40.7596083Z running install_egg_info
2025-08-14T23:03:40.7751710Z running egg_info
2025-08-14T23:03:40.7816405Z writing torch_test_cpp_extension.egg-info/PKG-INFO
2025-08-14T23:03:40.7820863Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt
2025-08-14T23:03:40.7823018Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt
2025-08-14T23:03:40.7825841Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt
2025-08-14T23:03:40.7893763Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-08-14T23:03:40.7903806Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-08-14T23:03:40.7905673Z 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)
2025-08-14T23:03:40.7907918Z 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
2025-08-14T23:03:40.7917553Z running install_scripts
2025-08-14T23:03:43.9183062Z /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.
2025-08-14T23:03:43.9184431Z   import pkg_resources
2025-08-14T23:03:43.9580870Z 
2025-08-14T23:03:43.9581165Z Running tests...
2025-08-14T23:03:43.9581504Z ----------------------------------------------------------------------
2025-08-14T23:03:44.3042905Z .
2025-08-14T23:03:44.3043403Z ----------------------------------------------------------------------
2025-08-14T23:03:44.3043814Z Ran 1 test in 0.346s
2025-08-14T23:03:44.3044250Z 
2025-08-14T23:03:44.3044330Z OK
2025-08-14T23:03:44.3044437Z 
2025-08-14T23:03:44.3044538Z Generating XML reports...
2025-08-14T23:03:45.0456495Z Running test_cpp_extensions_aot_ninja 1/1 ... [2025-08-14 23:03:45.045249]
2025-08-14T23:03:47.5849879Z /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.
2025-08-14T23:03:47.5851290Z   import pkg_resources
2025-08-14T23:03:47.6200478Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/_distutils/extension.py:150: UserWarning: Unknown Extension options: 'dlink'
2025-08-14T23:03:47.6201201Z   warnings.warn(msg)
2025-08-14T23:03:47.6541021Z running install
2025-08-14T23:03:47.6543517Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-08-14T23:03:47.6544181Z !!
2025-08-14T23:03:47.6544285Z 
2025-08-14T23:03:47.6544477Z         ********************************************************************************
2025-08-14T23:03:47.6544781Z         Please avoid running ``setup.py`` directly.
2025-08-14T23:03:47.6545097Z         Instead, use pypa/build, pypa/installer or other
2025-08-14T23:03:47.6545363Z         standards-based tools.
2025-08-14T23:03:47.6545500Z 
2025-08-14T23:03:47.6545671Z         By 2025-Oct-31, you need to update your project and remove deprecated calls
2025-08-14T23:03:47.6546023Z         or your builds will no longer be supported.
2025-08-14T23:03:47.6546189Z 
2025-08-14T23:03:47.6546407Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-08-14T23:03:47.6546790Z         ********************************************************************************
2025-08-14T23:03:47.6546974Z 
2025-08-14T23:03:47.6547039Z !!
2025-08-14T23:03:47.6547214Z   self.initialize_options()
2025-08-14T23:03:47.6651164Z running build
2025-08-14T23:03:47.6651476Z running build_py
2025-08-14T23:03:47.6720334Z creating build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension
2025-08-14T23:03:47.6722400Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension
2025-08-14T23:03:47.6725581Z running build_ext
2025-08-14T23:03:47.7030085Z building 'torch_test_cpp_extension.cpp' extension
2025-08-14T23:03:47.7031254Z creating /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310
2025-08-14T23:03:48.6980419Z [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 '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1016"' -DTORCH_EXTENSION_NAME=cpp -std=c++17
2025-08-14T23:03:48.6984375Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/Exceptions.h:12,
2025-08-14T23:03:48.6985053Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/python.h:11,
2025-08-14T23:03:48.6985849Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:9,
2025-08-14T23:03:48.6986428Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/extension.cpp:1:
2025-08-14T23:03:48.6987567Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘class pybind11::class_<MatrixMultiplier>’:
2025-08-14T23:03:48.6988313Z /var/lib/jenkins/workspace/test/cpp_extensions/extension.cpp:45:53:   required from here
2025-08-14T23:03:48.6989481Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h:1539:7: warning: ‘pybind11::class_<MatrixMultiplier>’ declared with greater visibility than its base ‘pybind11::detail::generic_type’ [-Wattributes]
2025-08-14T23:03:48.6990346Z  1539 | class class_ : public detail::generic_type {
2025-08-14T23:03:48.6990603Z       |       ^~~~~~
2025-08-14T23:03:48.6991810Z /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 = {}]’:
2025-08-14T23:03:48.6993014Z /var/lib/jenkins/workspace/test/cpp_extensions/extension.cpp:45:53:   required from here
2025-08-14T23:03:48.6994780Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h:1599:28: 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]
2025-08-14T23:03:48.6996111Z  1599 |             with_internals([&](internals &internals) {
2025-08-14T23:03:48.6996391Z       |                            ^~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:03:48.6996754Z  1600 |                 auto &instances = record.module_local ? get_local_internals().registered_types_cpp
2025-08-14T23:03:48.6997170Z       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:03:48.6997486Z  1601 |                                                       : internals.registered_types_cpp;
2025-08-14T23:03:48.6997773Z       |                                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:03:48.6998074Z  1602 |                 instances[std::type_index(typeid(type_alias))]
2025-08-14T23:03:48.6998350Z       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:03:48.6998617Z  1603 |                     = instances[std::type_index(typeid(type))];
2025-08-14T23:03:48.6998876Z       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:03:48.6999101Z  1604 |             });
2025-08-14T23:03:48.6999279Z       |             ~               
2025-08-14T23:03:48.7092917Z 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
2025-08-14T23:03:49.1670762Z building 'torch_test_cpp_extension.maia' extension
2025-08-14T23:03:50.3199132Z [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 '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1016"' -DTORCH_EXTENSION_NAME=maia -std=c++17
2025-08-14T23:03:50.3247777Z 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
2025-08-14T23:03:50.7580276Z building 'torch_test_cpp_extension.rng' extension
2025-08-14T23:03:51.9539857Z [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 '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1016"' -DTORCH_EXTENSION_NAME=rng -std=c++17
2025-08-14T23:03:51.9546638Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8,
2025-08-14T23:03:51.9547712Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-08-14T23:03:51.9548720Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Loops.h:37,
2025-08-14T23:03:51.9549714Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9,
2025-08-14T23:03:51.9550673Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:6:
2025-08-14T23:03:51.9552071Z /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]
2025-08-14T23:03:51.9552953Z  1478 | #pragma unroll
2025-08-14T23:03:51.9553138Z       | 
2025-08-14T23:03:51.9553611Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_convert.h:4,
2025-08-14T23:03:51.9554487Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1530,
2025-08-14T23:03:51.9555336Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8,
2025-08-14T23:03:51.9556010Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-08-14T23:03:51.9556614Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Loops.h:37,
2025-08-14T23:03:51.9557551Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9,
2025-08-14T23:03:51.9558162Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:6:
2025-08-14T23:03:51.9559261Z /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]
2025-08-14T23:03:51.9559848Z    59 | #pragma unroll
2025-08-14T23:03:51.9560080Z       | 
2025-08-14T23:03:51.9560695Z /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]
2025-08-14T23:03:51.9561332Z    72 | #pragma unroll
2025-08-14T23:03:51.9561509Z       | 
2025-08-14T23:03:51.9562287Z /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]
2025-08-14T23:03:51.9562925Z    87 | #pragma unroll
2025-08-14T23:03:51.9563085Z       | 
2025-08-14T23:03:51.9563747Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1531,
2025-08-14T23:03:51.9564532Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8,
2025-08-14T23:03:51.9565256Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-08-14T23:03:51.9565868Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Loops.h:37,
2025-08-14T23:03:51.9566588Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9,
2025-08-14T23:03:51.9567260Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:6:
2025-08-14T23:03:51.9568158Z /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]
2025-08-14T23:03:51.9568833Z   160 | #pragma unroll
2025-08-14T23:03:51.9569028Z       | 
2025-08-14T23:03:51.9569488Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:03:51.9570175Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:03:51.9570742Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:03:51.9571375Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:03:51.9571988Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:03:51.9572613Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:03:51.9573294Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:03:51.9574003Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:03:51.9574713Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:03:51.9575445Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:03:51.9576192Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:03:51.9576765Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:51.9577336Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:51.9578342Z 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]’,
2025-08-14T23:03:51.9579582Z     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,
2025-08-14T23:03:51.9580874Z     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,
2025-08-14T23:03:51.9582089Z     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,
2025-08-14T23:03:51.9583428Z     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,
2025-08-14T23:03:51.9584966Z     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,
2025-08-14T23:03:51.9589262Z     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,
2025-08-14T23:03:51.9596594Z     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:
2025-08-14T23:03:51.9600768Z /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]
2025-08-14T23:03:51.9601509Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:03:51.9601784Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:03:51.9606324Z /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}]’:
2025-08-14T23:03:51.9610841Z /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
2025-08-14T23:03:51.9612031Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:03:51.9612350Z       |        ^~~~~~~~
2025-08-14T23:03:51.9612815Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:03:51.9613536Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:03:51.9614155Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:03:51.9614720Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:03:51.9615264Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:03:51.9615839Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:03:51.9616565Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:03:51.9617353Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:03:51.9618141Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:03:51.9618906Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:03:51.9619600Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:03:51.9620242Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:03:51.9620946Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:51.9621536Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:51.9622257Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:03:51.9622784Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:03:51.9623045Z       |                     ^~~~
2025-08-14T23:03:51.9623464Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:03:51.9624070Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:03:51.9624631Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:03:51.9625254Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:03:51.9625799Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:03:51.9626418Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:03:51.9627078Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:03:51.9627708Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:03:51.9628333Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:03:51.9628989Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:03:51.9629656Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:03:51.9630233Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:51.9630710Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:51.9631642Z 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]’,
2025-08-14T23:03:51.9632755Z     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,
2025-08-14T23:03:51.9633950Z     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,
2025-08-14T23:03:51.9635161Z     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,
2025-08-14T23:03:51.9636456Z     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,
2025-08-14T23:03:51.9637845Z     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,
2025-08-14T23:03:51.9642080Z     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,
2025-08-14T23:03:51.9649290Z     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:
2025-08-14T23:03:51.9653328Z /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]
2025-08-14T23:03:51.9653980Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:03:51.9654251Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:03:51.9658482Z /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}]’:
2025-08-14T23:03:51.9665452Z /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
2025-08-14T23:03:51.9666423Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:03:51.9676222Z       |        ^~~~~~~~
2025-08-14T23:03:51.9676768Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:03:51.9677496Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:03:51.9678149Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:03:51.9678810Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:03:51.9679372Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:03:51.9679964Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:03:51.9680751Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:03:51.9681560Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:03:51.9682454Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:03:51.9683351Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:03:51.9684273Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:03:51.9684933Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:03:51.9685506Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:51.9686002Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:51.9686781Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:03:51.9687323Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:03:51.9687574Z       |                     ^~~~
2025-08-14T23:03:51.9687988Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:03:51.9688590Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:03:51.9689153Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:03:51.9689688Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:03:51.9690216Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:03:51.9690796Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:03:51.9691434Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:03:51.9692040Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:03:51.9692652Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:03:51.9693449Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:03:51.9694110Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:03:51.9694682Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:51.9695164Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:51.9695978Z 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]’,
2025-08-14T23:03:51.9697129Z     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,
2025-08-14T23:03:51.9698383Z     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,
2025-08-14T23:03:51.9699609Z     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,
2025-08-14T23:03:51.9700887Z     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,
2025-08-14T23:03:51.9702299Z     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,
2025-08-14T23:03:51.9706241Z     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,
2025-08-14T23:03:51.9713178Z     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:
2025-08-14T23:03:51.9717266Z /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]
2025-08-14T23:03:51.9717938Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:03:51.9718224Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:03:51.9722437Z /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}]’:
2025-08-14T23:03:51.9726696Z /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
2025-08-14T23:03:51.9727599Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:03:51.9727889Z       |        ^~~~~~~~
2025-08-14T23:03:51.9728326Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:03:51.9729029Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:03:51.9729653Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:03:51.9730228Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:03:51.9730759Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:03:51.9731346Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:03:51.9732069Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:03:51.9732845Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:03:51.9733651Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:03:51.9734423Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:03:51.9735209Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:03:51.9735871Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:03:51.9736455Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:51.9736949Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:51.9737633Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:03:51.9738152Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:03:51.9738408Z       |                     ^~~~
2025-08-14T23:03:51.9738851Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:03:51.9739467Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:03:51.9740070Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:03:51.9740613Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:03:51.9741128Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:03:51.9741721Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:03:51.9742356Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:03:51.9742984Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:03:51.9743594Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:03:51.9744235Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:03:51.9744905Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:03:51.9745491Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:51.9745974Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:51.9746779Z 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]’,
2025-08-14T23:03:51.9747881Z     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,
2025-08-14T23:03:51.9749101Z     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,
2025-08-14T23:03:51.9750324Z     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,
2025-08-14T23:03:51.9751617Z     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,
2025-08-14T23:03:51.9753036Z     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,
2025-08-14T23:03:51.9757200Z     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,
2025-08-14T23:03:51.9763947Z     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:
2025-08-14T23:03:51.9767817Z /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]
2025-08-14T23:03:51.9768472Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:03:51.9768744Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:03:51.9772771Z /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}]’:
2025-08-14T23:03:51.9777131Z /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
2025-08-14T23:03:51.9778028Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:03:51.9778324Z       |        ^~~~~~~~
2025-08-14T23:03:51.9778769Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:03:51.9779538Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:03:51.9780178Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:03:51.9780757Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:03:51.9781322Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:03:51.9781920Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:03:51.9782660Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:03:51.9783450Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:03:51.9784428Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:03:51.9785340Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:03:51.9786045Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:03:51.9786700Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:03:51.9787287Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:51.9787778Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:51.9788478Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:03:51.9789012Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:03:51.9789269Z       |                     ^~~~
2025-08-14T23:03:51.9789696Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:03:51.9790303Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:03:51.9790877Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:03:51.9791421Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:03:51.9791940Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:03:51.9792519Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:03:51.9793161Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:03:51.9793905Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:03:51.9794521Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:03:51.9795165Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:03:51.9795841Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:03:51.9796427Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:51.9796917Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:51.9797762Z 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]’,
2025-08-14T23:03:51.9798900Z     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,
2025-08-14T23:03:51.9800098Z     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,
2025-08-14T23:03:51.9801326Z     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,
2025-08-14T23:03:51.9802710Z     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,
2025-08-14T23:03:51.9804149Z     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,
2025-08-14T23:03:51.9808339Z     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,
2025-08-14T23:03:51.9815734Z     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:
2025-08-14T23:03:51.9819999Z /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]
2025-08-14T23:03:51.9820678Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:03:51.9820960Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:03:51.9825310Z /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}]’:
2025-08-14T23:03:51.9829783Z /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
2025-08-14T23:03:51.9830687Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:03:51.9830991Z       |        ^~~~~~~~
2025-08-14T23:03:51.9831439Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:03:51.9832141Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:03:51.9832762Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:03:51.9833347Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:03:51.9833885Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:03:51.9834466Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:03:51.9835194Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:03:51.9836085Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:03:51.9836870Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:03:51.9837633Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:03:51.9838322Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:03:51.9838970Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:03:51.9839604Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:51.9840101Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:51.9840795Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:03:51.9841347Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:03:51.9841611Z       |                     ^~~~
2025-08-14T23:03:51.9842109Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:03:51.9842709Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:03:51.9843269Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:03:51.9843829Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:03:51.9844350Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:03:51.9844940Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:03:51.9845585Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:03:51.9846201Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:03:51.9846809Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:03:51.9847461Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:03:51.9848116Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:03:51.9848704Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:51.9849192Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:51.9850007Z 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]’,
2025-08-14T23:03:51.9851092Z     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,
2025-08-14T23:03:51.9852286Z     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,
2025-08-14T23:03:51.9853515Z     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,
2025-08-14T23:03:51.9854942Z     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,
2025-08-14T23:03:51.9856346Z     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,
2025-08-14T23:03:51.9860359Z     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,
2025-08-14T23:03:51.9867014Z     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:
2025-08-14T23:03:51.9870866Z /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]
2025-08-14T23:03:51.9871523Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:03:51.9871786Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:03:51.9875802Z /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}]’:
2025-08-14T23:03:51.9880196Z /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
2025-08-14T23:03:51.9881095Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:03:51.9881396Z       |        ^~~~~~~~
2025-08-14T23:03:51.9881935Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:03:51.9882667Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:03:51.9883294Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:03:51.9883866Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:03:51.9884401Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:03:51.9884994Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:03:51.9885734Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:03:51.9886522Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:03:51.9887322Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:03:51.9888093Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:03:51.9888779Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:03:51.9889440Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:03:51.9890026Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:51.9890509Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:51.9891205Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:03:51.9891720Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:03:51.9891968Z       |                     ^~~~
2025-08-14T23:03:51.9892365Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:03:51.9892948Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:03:51.9893508Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:03:51.9894051Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:03:51.9894754Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:03:51.9895340Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:03:51.9895975Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:03:51.9896589Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:03:51.9897191Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:03:51.9897897Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:03:51.9898577Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:03:51.9899158Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:51.9900178Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:51.9900992Z 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]’,
2025-08-14T23:03:51.9902078Z     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,
2025-08-14T23:03:51.9903269Z     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,
2025-08-14T23:03:51.9904486Z     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,
2025-08-14T23:03:51.9905802Z     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,
2025-08-14T23:03:51.9907209Z     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,
2025-08-14T23:03:51.9911373Z     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,
2025-08-14T23:03:51.9918862Z     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:
2025-08-14T23:03:51.9923057Z /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]
2025-08-14T23:03:51.9923715Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:03:51.9923984Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:03:51.9928256Z /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}]’:
2025-08-14T23:03:51.9932728Z /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
2025-08-14T23:03:51.9933624Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:03:51.9933920Z       |        ^~~~~~~~
2025-08-14T23:03:51.9934366Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:03:51.9935066Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:03:51.9935690Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:03:51.9936272Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:03:51.9936971Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:03:51.9937557Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:03:51.9938293Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:03:51.9939094Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:03:51.9939907Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:03:51.9940717Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:03:51.9941426Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:03:51.9942124Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:03:51.9942716Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:51.9943203Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:51.9943901Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:03:51.9944420Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:03:51.9944665Z       |                     ^~~~
2025-08-14T23:03:51.9945068Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:03:51.9945670Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:03:51.9946235Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:03:51.9946780Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:03:51.9947288Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:03:51.9947876Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:03:51.9948516Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:03:51.9949133Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:03:51.9949736Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:03:51.9950377Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:03:51.9951038Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:03:51.9951630Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:51.9952109Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:51.9952913Z 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]’,
2025-08-14T23:03:51.9954003Z     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,
2025-08-14T23:03:51.9955318Z     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,
2025-08-14T23:03:51.9956543Z     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,
2025-08-14T23:03:51.9957846Z     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,
2025-08-14T23:03:51.9959316Z     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,
2025-08-14T23:03:51.9963384Z     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,
2025-08-14T23:03:51.9970043Z     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:
2025-08-14T23:03:51.9973888Z /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]
2025-08-14T23:03:51.9974539Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:03:51.9974823Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:03:51.9978883Z /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}]’:
2025-08-14T23:03:51.9983272Z /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
2025-08-14T23:03:51.9984174Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:03:51.9984476Z       |        ^~~~~~~~
2025-08-14T23:03:51.9984920Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:03:51.9985615Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:03:51.9986237Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:03:51.9986809Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:03:51.9987349Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:03:51.9987923Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:03:51.9988669Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:03:51.9989465Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:03:51.9990257Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:03:51.9991035Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:03:51.9991731Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:03:51.9992387Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:03:51.9992964Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:51.9993441Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:51.9994133Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:03:51.9994658Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:03:51.9994907Z       |                     ^~~~
2025-08-14T23:03:51.9995401Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:03:51.9995995Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:03:51.9996559Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:03:51.9997095Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:03:51.9997620Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:03:51.9998200Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:03:51.9998878Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:03:51.9999510Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:03:52.0000188Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:03:52.0000853Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:03:52.0001518Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:03:52.0002170Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:52.0002658Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:52.0003461Z 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]’,
2025-08-14T23:03:52.0004550Z     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,
2025-08-14T23:03:52.0005757Z     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,
2025-08-14T23:03:52.0006975Z     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,
2025-08-14T23:03:52.0008279Z     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,
2025-08-14T23:03:52.0009691Z     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,
2025-08-14T23:03:52.0013891Z     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,
2025-08-14T23:03:52.0020845Z     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:
2025-08-14T23:03:52.0024706Z /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]
2025-08-14T23:03:52.0025449Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:03:52.0025716Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:03:52.0029752Z /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}]’:
2025-08-14T23:03:52.0034017Z /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
2025-08-14T23:03:52.0034918Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:03:52.0035218Z       |        ^~~~~~~~
2025-08-14T23:03:52.0035651Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:03:52.0036351Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:03:52.0037083Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:03:52.0037659Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:03:52.0038186Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:03:52.0038772Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:03:52.0039516Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:03:52.0040340Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:03:52.0041141Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:03:52.0042029Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:03:52.0042762Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:03:52.0043416Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:03:52.0043992Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:52.0044480Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:52.0045182Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:03:52.0045732Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:03:52.0045968Z       |                     ^~~~
2025-08-14T23:03:52.0046377Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:03:52.0046982Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:03:52.0047543Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:03:52.0048088Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:03:52.0048601Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:03:52.0049193Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:03:52.0049834Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:03:52.0050441Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:03:52.0051050Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:03:52.0051696Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:03:52.0052356Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:03:52.0052925Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:52.0053417Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:52.0054262Z 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]’,
2025-08-14T23:03:52.0055421Z     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,
2025-08-14T23:03:52.0056603Z     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,
2025-08-14T23:03:52.0057816Z     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,
2025-08-14T23:03:52.0059162Z     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,
2025-08-14T23:03:52.0060634Z     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,
2025-08-14T23:03:52.0064602Z     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,
2025-08-14T23:03:52.0071235Z     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:
2025-08-14T23:03:52.0075067Z /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]
2025-08-14T23:03:52.0075774Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:03:52.0076093Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:03:52.0080179Z /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}]’:
2025-08-14T23:03:52.0084522Z /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
2025-08-14T23:03:52.0085432Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:03:52.0085722Z       |        ^~~~~~~~
2025-08-14T23:03:52.0086161Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:03:52.0086864Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:03:52.0087493Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:03:52.0088057Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:03:52.0088603Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:03:52.0089193Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:03:52.0089925Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:03:52.0090714Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:03:52.0091520Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:03:52.0092294Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:03:52.0092993Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:03:52.0093650Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:03:52.0094232Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:52.0094714Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:52.0095462Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:03:52.0096021Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:03:52.0096276Z       |                     ^~~~
2025-08-14T23:03:52.0096686Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:03:52.0097275Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:03:52.0097826Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:03:52.0098364Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:03:52.0098919Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:03:52.0099504Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:03:52.0100143Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:03:52.0100789Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:03:52.0101408Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:03:52.0102050Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:03:52.0102708Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:03:52.0103292Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:52.0103775Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:52.0104571Z 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]’,
2025-08-14T23:03:52.0105650Z     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,
2025-08-14T23:03:52.0106843Z     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,
2025-08-14T23:03:52.0108064Z     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,
2025-08-14T23:03:52.0109361Z     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,
2025-08-14T23:03:52.0110757Z     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,
2025-08-14T23:03:52.0114994Z     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,
2025-08-14T23:03:52.0122141Z     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:
2025-08-14T23:03:52.0126038Z /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]
2025-08-14T23:03:52.0126718Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:03:52.0126989Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:03:52.0131027Z /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}]’:
2025-08-14T23:03:52.0135311Z /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
2025-08-14T23:03:52.0136198Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:03:52.0136500Z       |        ^~~~~~~~
2025-08-14T23:03:52.0136983Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:03:52.0137734Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:03:52.0138342Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:03:52.0138906Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:03:52.0139427Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:03:52.0140000Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:03:52.0140758Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:03:52.0141549Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:03:52.0142374Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:03:52.0143139Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:03:52.0143828Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:03:52.0144478Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:03:52.0145062Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:52.0145536Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:52.0146219Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:03:52.0146739Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:03:52.0146977Z       |                     ^~~~
2025-08-14T23:03:52.0147381Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:03:52.0147979Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:03:52.0148529Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:03:52.0149065Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:03:52.0149582Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:03:52.0150171Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:03:52.0150799Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:03:52.0151406Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:03:52.0152007Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:03:52.0152643Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:03:52.0153310Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:03:52.0153998Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:52.0154487Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:52.0155272Z 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]’,
2025-08-14T23:03:52.0156354Z     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,
2025-08-14T23:03:52.0157533Z     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,
2025-08-14T23:03:52.0158796Z     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,
2025-08-14T23:03:52.0160141Z     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,
2025-08-14T23:03:52.0161555Z     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,
2025-08-14T23:03:52.0165546Z     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,
2025-08-14T23:03:52.0172167Z     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:
2025-08-14T23:03:52.0176122Z /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]
2025-08-14T23:03:52.0176773Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:03:52.0177037Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:03:52.0181118Z /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}]’:
2025-08-14T23:03:52.0185363Z /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
2025-08-14T23:03:52.0186252Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:03:52.0186547Z       |        ^~~~~~~~
2025-08-14T23:03:52.0186990Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:03:52.0187684Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:03:52.0188301Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:03:52.0188866Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:03:52.0189395Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:03:52.0189969Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:03:52.0190709Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:03:52.0191508Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:03:52.0192293Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:03:52.0193055Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:03:52.0193751Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:03:52.0194408Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:03:52.0195046Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:52.0195566Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:52.0196243Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:03:52.0196771Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:03:52.0197011Z       |                     ^~~~
2025-08-14T23:03:52.0197418Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:03:52.0198000Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:03:52.0198595Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:03:52.0199140Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:03:52.0199649Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:03:52.0200345Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:03:52.0200995Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:03:52.0201607Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:03:52.0202255Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:03:52.0202905Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:03:52.0203573Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:03:52.0204154Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:52.0204626Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:52.0205429Z 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]’,
2025-08-14T23:03:52.0206508Z     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,
2025-08-14T23:03:52.0207701Z     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,
2025-08-14T23:03:52.0208923Z     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,
2025-08-14T23:03:52.0210206Z     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,
2025-08-14T23:03:52.0211589Z     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,
2025-08-14T23:03:52.0216086Z     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,
2025-08-14T23:03:52.0223313Z     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:
2025-08-14T23:03:52.0227346Z /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]
2025-08-14T23:03:52.0227991Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:03:52.0228272Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:03:52.0232530Z /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}]’:
2025-08-14T23:03:52.0237052Z /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
2025-08-14T23:03:52.0237953Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:03:52.0238248Z       |        ^~~~~~~~
2025-08-14T23:03:52.0238688Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:03:52.0239372Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:03:52.0239987Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:03:52.0240596Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:03:52.0241143Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:03:52.0241757Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:03:52.0242564Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:03:52.0243346Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:03:52.0244130Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:03:52.0244892Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:03:52.0245603Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:03:52.0246250Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:03:52.0246827Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:52.0247302Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:52.0247980Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:03:52.0248505Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:03:52.0248748Z       |                     ^~~~
2025-08-14T23:03:52.0249160Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:03:52.0249759Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:03:52.0250325Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:03:52.0250869Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:03:52.0251382Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:03:52.0251950Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:03:52.0252584Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:03:52.0253210Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:03:52.0253909Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:03:52.0254562Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:03:52.0255228Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:03:52.0255804Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:52.0256282Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:52.0257079Z 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]’,
2025-08-14T23:03:52.0258208Z     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,
2025-08-14T23:03:52.0259454Z     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,
2025-08-14T23:03:52.0260677Z     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,
2025-08-14T23:03:52.0261965Z     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,
2025-08-14T23:03:52.0263356Z     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,
2025-08-14T23:03:52.0267619Z     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,
2025-08-14T23:03:52.0274806Z     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:
2025-08-14T23:03:52.0278996Z /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]
2025-08-14T23:03:52.0279652Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:03:52.0279932Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:03:52.0284347Z /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}]’:
2025-08-14T23:03:52.0288823Z /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
2025-08-14T23:03:52.0289717Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:03:52.0290009Z       |        ^~~~~~~~
2025-08-14T23:03:52.0290461Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:03:52.0291157Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:03:52.0291781Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:03:52.0292349Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:03:52.0292874Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:03:52.0293457Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:03:52.0294194Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:03:52.0295033Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:03:52.0295878Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:03:52.0296641Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:03:52.0297333Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:03:52.0297977Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:03:52.0298559Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:52.0299075Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:52.0299767Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:03:52.0300279Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:03:52.0300584Z       |                     ^~~~
2025-08-14T23:03:52.0300982Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:03:52.0301579Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:03:52.0302142Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:03:52.0302678Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:03:52.0303182Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:03:52.0303784Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:03:52.0304426Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:03:52.0305041Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:03:52.0305638Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:03:52.0306287Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:03:52.0306952Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:03:52.0307546Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:52.0308026Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:52.0308836Z 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]’,
2025-08-14T23:03:52.0309917Z     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,
2025-08-14T23:03:52.0311096Z     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,
2025-08-14T23:03:52.0312686Z     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,
2025-08-14T23:03:52.0314184Z     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,
2025-08-14T23:03:52.0315596Z     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,
2025-08-14T23:03:52.0319850Z     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,
2025-08-14T23:03:52.0327117Z     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:
2025-08-14T23:03:52.0331275Z /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]
2025-08-14T23:03:52.0331943Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:03:52.0332217Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:03:52.0336613Z /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}]’:
2025-08-14T23:03:52.0341154Z /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
2025-08-14T23:03:52.0342050Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:03:52.0342345Z       |        ^~~~~~~~
2025-08-14T23:03:52.0342788Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:03:52.0343487Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:03:52.0344105Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:03:52.0344675Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:03:52.0345199Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:03:52.0345770Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:03:52.0346493Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:03:52.0347285Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:03:52.0348071Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:03:52.0348835Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:03:52.0349518Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:03:52.0350225Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:03:52.0350817Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:52.0351291Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:52.0351972Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:03:52.0352490Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:03:52.0352736Z       |                     ^~~~
2025-08-14T23:03:52.0353135Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:03:52.0353764Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:03:52.0354395Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:03:52.0354968Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:03:52.0355489Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:03:52.0356060Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:03:52.0356691Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:03:52.0357300Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:03:52.0357906Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:03:52.0358551Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:03:52.0359219Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:03:52.0359801Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:52.0360281Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:52.0361071Z 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]’,
2025-08-14T23:03:52.0362245Z     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,
2025-08-14T23:03:52.0363654Z     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,
2025-08-14T23:03:52.0364869Z     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,
2025-08-14T23:03:52.0366163Z     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,
2025-08-14T23:03:52.0367567Z     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,
2025-08-14T23:03:52.0371919Z     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,
2025-08-14T23:03:52.0379203Z     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:
2025-08-14T23:03:52.0383275Z /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]
2025-08-14T23:03:52.0383940Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:03:52.0384209Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:03:52.0388506Z /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}]’:
2025-08-14T23:03:52.0393025Z /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
2025-08-14T23:03:52.0393910Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:03:52.0394206Z       |        ^~~~~~~~
2025-08-14T23:03:52.0394688Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:03:52.0395447Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:03:52.0396061Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:03:52.0396660Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:03:52.0397206Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:03:52.0397789Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:03:52.0398509Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:03:52.0399291Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:03:52.0400096Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:03:52.0400873Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:03:52.0401559Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:03:52.0402276Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:03:52.0402855Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:52.0403334Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:52.0404022Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:03:52.0404551Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:03:52.0404796Z       |                     ^~~~
2025-08-14T23:03:52.0405200Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:03:52.0405791Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:03:52.0406345Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:03:52.0406880Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:03:52.0407385Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:03:52.0407961Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:03:52.0408667Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:03:52.0409275Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:03:52.0409870Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:03:52.0410512Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:03:52.0411173Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:03:52.0412115Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:52.0412758Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:52.0413684Z 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]’,
2025-08-14T23:03:52.0414861Z     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,
2025-08-14T23:03:52.0416060Z     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,
2025-08-14T23:03:52.0417273Z     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,
2025-08-14T23:03:52.0418596Z     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,
2025-08-14T23:03:52.0420028Z     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,
2025-08-14T23:03:52.0424259Z     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,
2025-08-14T23:03:52.0431494Z     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:
2025-08-14T23:03:52.0435676Z /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]
2025-08-14T23:03:52.0436386Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:03:52.0436674Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:03:52.0440982Z /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}]’:
2025-08-14T23:03:52.0445519Z /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
2025-08-14T23:03:52.0446421Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:03:52.0446728Z       |        ^~~~~~~~
2025-08-14T23:03:52.0447178Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:03:52.0447876Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:03:52.0448483Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:03:52.0449054Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:03:52.0449587Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:03:52.0450164Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:03:52.0450933Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:03:52.0451725Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:03:52.0452503Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:03:52.0453267Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:03:52.0454014Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:03:52.0454704Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:03:52.0455296Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:52.0455822Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:52.0467383Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:03:52.0468019Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:03:52.0468268Z       |                     ^~~~
2025-08-14T23:03:52.0468698Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:03:52.0469331Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:03:52.0469902Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:03:52.0470455Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:03:52.0470983Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:03:52.0471563Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:03:52.0472203Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:03:52.0472807Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:03:52.0473422Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:03:52.0474060Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:03:52.0474733Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:03:52.0475328Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:52.0475812Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:52.0476677Z 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]’,
2025-08-14T23:03:52.0477776Z     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,
2025-08-14T23:03:52.0478959Z     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,
2025-08-14T23:03:52.0480274Z     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,
2025-08-14T23:03:52.0481567Z     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,
2025-08-14T23:03:52.0483057Z     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,
2025-08-14T23:03:52.0487386Z     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,
2025-08-14T23:03:52.0494657Z     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:
2025-08-14T23:03:52.0498771Z /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]
2025-08-14T23:03:52.0499439Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:03:52.0499716Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:03:52.0504076Z /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}]’:
2025-08-14T23:03:52.0508662Z /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
2025-08-14T23:03:52.0509562Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:03:52.0509856Z       |        ^~~~~~~~
2025-08-14T23:03:52.0510303Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:03:52.0511001Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:03:52.0511624Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:03:52.0512707Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:03:52.0513261Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:03:52.0513842Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:03:52.0514574Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:03:52.0515360Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:03:52.0516145Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:03:52.0516908Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:03:52.0517621Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:03:52.0518272Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:03:52.0518858Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:52.0519331Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:52.0520038Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:03:52.0520557Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:03:52.0520911Z       |                     ^~~~
2025-08-14T23:03:52.0521331Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:03:52.0521991Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:03:52.0522552Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:03:52.0523083Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:03:52.0523606Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:03:52.0524258Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:03:52.0524920Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:03:52.0525676Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:03:52.0526332Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:03:52.0526982Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:03:52.0527651Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:03:52.0528228Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:52.0528710Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:52.0529512Z 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]’,
2025-08-14T23:03:52.0530617Z     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,
2025-08-14T23:03:52.0531816Z     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,
2025-08-14T23:03:52.0533040Z     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,
2025-08-14T23:03:52.0534329Z     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,
2025-08-14T23:03:52.0535750Z     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,
2025-08-14T23:03:52.0540020Z     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,
2025-08-14T23:03:52.0547366Z     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:
2025-08-14T23:03:52.0551489Z /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]
2025-08-14T23:03:52.0552154Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:03:52.0552437Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:03:52.0556713Z /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}]’:
2025-08-14T23:03:52.0561199Z /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
2025-08-14T23:03:52.0562157Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:03:52.0562516Z       |        ^~~~~~~~
2025-08-14T23:03:52.0562960Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:03:52.0563650Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:03:52.0564267Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:03:52.0564834Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:03:52.0565367Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:03:52.0565992Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:03:52.0566772Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:03:52.0567601Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:03:52.0568397Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:03:52.0569159Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:03:52.0569854Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:03:52.0570505Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:03:52.0571094Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:52.0571580Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:52.0572377Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:03:52.0572895Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:03:52.0573144Z       |                     ^~~~
2025-08-14T23:03:52.0573546Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:03:52.0574151Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:03:52.0574719Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:03:52.0575264Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:03:52.0575780Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:03:52.0576364Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:03:52.0577004Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:03:52.0577612Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:03:52.0578230Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:03:52.0578885Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:03:52.0579624Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:03:52.0580219Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:52.0580702Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:52.0581502Z 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]’,
2025-08-14T23:03:52.0582596Z     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,
2025-08-14T23:03:52.0583840Z     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,
2025-08-14T23:03:52.0585143Z     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,
2025-08-14T23:03:52.0586440Z     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,
2025-08-14T23:03:52.0587852Z     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,
2025-08-14T23:03:52.0592126Z     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,
2025-08-14T23:03:52.0599327Z     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:
2025-08-14T23:03:52.0603515Z /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]
2025-08-14T23:03:52.0604167Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:03:52.0604436Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:03:52.0608807Z /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}]’:
2025-08-14T23:03:52.0613593Z /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
2025-08-14T23:03:52.0614502Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:03:52.0614794Z       |        ^~~~~~~~
2025-08-14T23:03:52.0615256Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:03:52.0615942Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:03:52.0616564Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:03:52.0617137Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:03:52.0617677Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:03:52.0618246Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:03:52.0618984Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:03:52.0619769Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:03:52.0620557Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:03:52.0621320Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:03:52.0622135Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:03:52.0622781Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:03:52.0623362Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:52.0623841Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:52.0624543Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:03:52.0625143Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:03:52.0625394Z       |                     ^~~~
2025-08-14T23:03:52.0625860Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:03:52.0626518Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:03:52.0627091Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:03:52.0627636Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:03:52.0628158Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:03:52.0628747Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:03:52.0629405Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:03:52.0630021Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:03:52.0630654Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:03:52.0631310Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:03:52.0631971Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:03:52.0632563Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:52.0633051Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:52.0633877Z 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]’,
2025-08-14T23:03:52.0634980Z     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,
2025-08-14T23:03:52.0636184Z     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,
2025-08-14T23:03:52.0637409Z     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,
2025-08-14T23:03:52.0638691Z     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,
2025-08-14T23:03:52.0640091Z     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,
2025-08-14T23:03:52.0644509Z     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,
2025-08-14T23:03:52.0651764Z     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:
2025-08-14T23:03:52.0655853Z /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]
2025-08-14T23:03:52.0656514Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:03:52.0656790Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:03:52.0661107Z /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}]’:
2025-08-14T23:03:52.0665639Z /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
2025-08-14T23:03:52.0666585Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:03:52.0666948Z       |        ^~~~~~~~
2025-08-14T23:03:52.0667392Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:03:52.0668133Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:03:52.0668765Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:03:52.0669342Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:03:52.0669881Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:03:52.0670462Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:03:52.0671199Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:03:52.0672000Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:03:52.0672807Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:03:52.0673578Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:03:52.0674288Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:03:52.0674952Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:03:52.0675545Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:52.0676030Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:52.0676724Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:03:52.0677256Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:03:52.0677509Z       |                     ^~~~
2025-08-14T23:03:52.0677910Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:03:52.0678512Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:03:52.0679078Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:03:52.0679631Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:03:52.0680218Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:03:52.0680816Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:03:52.0681454Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:03:52.0682133Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:03:52.0682753Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:03:52.0683399Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:03:52.0684116Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:03:52.0684772Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:52.0685301Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:52.0686110Z 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]’,
2025-08-14T23:03:52.0687226Z     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,
2025-08-14T23:03:52.0688425Z     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,
2025-08-14T23:03:52.0689642Z     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,
2025-08-14T23:03:52.0690952Z     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,
2025-08-14T23:03:52.0692377Z     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,
2025-08-14T23:03:52.0696338Z     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,
2025-08-14T23:03:52.0703050Z     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:
2025-08-14T23:03:52.0707033Z /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]
2025-08-14T23:03:52.0707700Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:03:52.0707983Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:03:52.0712237Z /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}]’:
2025-08-14T23:03:52.0716519Z /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
2025-08-14T23:03:52.0717432Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:03:52.0717734Z       |        ^~~~~~~~
2025-08-14T23:03:52.0718183Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:03:52.0718888Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:03:52.0719506Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:03:52.0720076Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:03:52.0720598Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:03:52.0721187Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:03:52.0722196Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:03:52.0722997Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:03:52.0723786Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:03:52.0724563Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:03:52.0725265Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:03:52.0726004Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:03:52.0726601Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:52.0727151Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:52.0727864Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:03:52.0728404Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:03:52.0728646Z       |                     ^~~~
2025-08-14T23:03:52.0729061Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:03:52.0729666Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:03:52.0730247Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:03:52.0730795Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:03:52.0731318Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:03:52.0731905Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:03:52.0732549Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:03:52.0733166Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:03:52.0733793Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:03:52.0734450Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:03:52.0735124Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:03:52.0735709Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:52.0736189Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:52.0736997Z 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]’,
2025-08-14T23:03:52.0738093Z     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,
2025-08-14T23:03:52.0739301Z     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,
2025-08-14T23:03:52.0740619Z     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,
2025-08-14T23:03:52.0741936Z     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,
2025-08-14T23:03:52.0743343Z     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,
2025-08-14T23:03:52.0747686Z     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,
2025-08-14T23:03:52.0754945Z     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:
2025-08-14T23:03:52.0759062Z /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]
2025-08-14T23:03:52.0759734Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:03:52.0760009Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:03:52.0764425Z /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}]’:
2025-08-14T23:03:52.0769069Z /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
2025-08-14T23:03:52.0769972Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:03:52.0770268Z       |        ^~~~~~~~
2025-08-14T23:03:52.0770705Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:03:52.0771417Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:03:52.0772053Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:03:52.0772643Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:03:52.0773189Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:03:52.0773781Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:03:52.0774520Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:03:52.0775312Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:03:52.0776102Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:03:52.0776892Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:03:52.0777602Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:03:52.0778259Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:03:52.0778840Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:52.0779332Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:52.0780032Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:03:52.0780563Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:03:52.0780807Z       |                     ^~~~
2025-08-14T23:03:52.0781305Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:03:52.0781916Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:03:52.0782486Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:03:52.0783031Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:03:52.0783558Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:03:52.0784143Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:03:52.0784823Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:03:52.0785457Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:03:52.0786115Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:03:52.0786768Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:03:52.0787436Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:03:52.0788013Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:52.0788498Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:52.0789301Z 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]’,
2025-08-14T23:03:52.0790406Z     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,
2025-08-14T23:03:52.0791599Z     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,
2025-08-14T23:03:52.0792815Z     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,
2025-08-14T23:03:52.0794132Z     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,
2025-08-14T23:03:52.0795563Z     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,
2025-08-14T23:03:52.0799840Z     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,
2025-08-14T23:03:52.0807225Z     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:
2025-08-14T23:03:52.0811342Z /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]
2025-08-14T23:03:52.0812189Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:03:52.0812462Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:03:52.0816811Z /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}]’:
2025-08-14T23:03:52.0821329Z /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
2025-08-14T23:03:52.0822226Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:03:52.0822667Z       |        ^~~~~~~~
2025-08-14T23:03:52.0823113Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:03:52.0823812Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:03:52.0824430Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:03:52.0825011Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:03:52.0825535Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:03:52.0826182Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:03:52.0826928Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:03:52.0827788Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:03:52.0828590Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:03:52.0829369Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:03:52.0830075Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:03:52.0830730Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:03:52.0831335Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:52.0831817Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:52.0832527Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:03:52.0833061Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:03:52.0833311Z       |                     ^~~~
2025-08-14T23:03:52.0833730Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:03:52.0834332Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:03:52.0834902Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:03:52.0835450Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:03:52.0835980Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:03:52.0836566Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:03:52.0837214Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:03:52.0837832Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:03:52.0838448Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:03:52.0839104Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:03:52.0839772Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:03:52.0840564Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:52.0841050Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:52.0841912Z 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]’,
2025-08-14T23:03:52.0843016Z     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,
2025-08-14T23:03:52.0844263Z     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,
2025-08-14T23:03:52.0845503Z     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,
2025-08-14T23:03:52.0846859Z     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,
2025-08-14T23:03:52.0848285Z     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,
2025-08-14T23:03:52.0852573Z     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,
2025-08-14T23:03:52.0859800Z     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:
2025-08-14T23:03:52.0863982Z /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]
2025-08-14T23:03:52.0864635Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:03:52.0864923Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:03:52.0869278Z /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}]’:
2025-08-14T23:03:52.0873789Z /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
2025-08-14T23:03:52.0874686Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:03:52.0874986Z       |        ^~~~~~~~
2025-08-14T23:03:52.0875429Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:03:52.0876129Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:03:52.0876760Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:03:52.0877331Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:03:52.0877870Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:03:52.0878452Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:03:52.0879183Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:03:52.0879987Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:03:52.0880783Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:03:52.0881550Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:03:52.0882419Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:03:52.0883092Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:03:52.0883687Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:52.0884180Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:52.0884886Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:03:52.0885420Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:03:52.0885668Z       |                     ^~~~
2025-08-14T23:03:52.0886114Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:03:52.0886725Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:03:52.0887335Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:03:52.0887884Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:03:52.0888407Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:03:52.0888987Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:03:52.0889625Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:03:52.0890253Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:03:52.0890876Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:03:52.0891527Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:03:52.0892198Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:03:52.0892778Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:52.0893254Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:52.0894066Z 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]’,
2025-08-14T23:03:52.0895156Z     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,
2025-08-14T23:03:52.0896371Z     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,
2025-08-14T23:03:52.0897592Z     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,
2025-08-14T23:03:52.0898893Z     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,
2025-08-14T23:03:52.0900312Z     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,
2025-08-14T23:03:52.0904483Z     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,
2025-08-14T23:03:52.0911162Z     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:
2025-08-14T23:03:52.0915254Z /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]
2025-08-14T23:03:52.0915915Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:03:52.0916192Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:03:52.0920222Z /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}]’:
2025-08-14T23:03:52.0925307Z /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
2025-08-14T23:03:52.0926210Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:03:52.0926517Z       |        ^~~~~~~~
2025-08-14T23:03:52.0926951Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:03:52.0927730Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:03:52.0928366Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:03:52.0928954Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:03:52.0929550Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:03:52.0930151Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:03:52.0930894Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:03:52.0931686Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:03:52.0932478Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:03:52.0933271Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:03:52.0933981Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:03:52.0934641Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:03:52.0935229Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:52.0935728Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:52.0936423Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:03:52.0936957Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:03:52.0937212Z       |                     ^~~~
2025-08-14T23:03:52.0937625Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-14T23:03:52.0938231Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-14T23:03:52.0938794Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-14T23:03:52.0939350Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-14T23:03:52.0939568Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-14T23:03:52.0939860Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-14T23:03:52.0940132Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-14T23:03:52.0940489Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-14T23:03:52.0940752Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-14T23:03:52.0941063Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-14T23:03:52.0941347Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-14T23:03:52.0941577Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:52.0941766Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:52.0942345Z 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]’,
2025-08-14T23:03:52.0943023Z     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,
2025-08-14T23:03:52.0943679Z     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,
2025-08-14T23:03:52.0944321Z     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,
2025-08-14T23:03:52.0945053Z     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,
2025-08-14T23:03:52.0945836Z     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,
2025-08-14T23:03:52.0949438Z     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,
2025-08-14T23:03:52.0953504Z     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:
2025-08-14T23:03:52.0954218Z /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]
2025-08-14T23:03:52.0954345Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-14T23:03:52.0954439Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-14T23:03:52.0958647Z /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}]’:
2025-08-14T23:03:52.0959541Z /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
2025-08-14T23:03:52.0959694Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-14T23:03:52.0959774Z       |        ^~~~~~~~
2025-08-14T23:03:52.0960108Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-14T23:03:52.0960418Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-14T23:03:52.0960669Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-14T23:03:52.0960909Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-14T23:03:52.0961124Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-14T23:03:52.0961426Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-14T23:03:52.0961795Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-14T23:03:52.0962335Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-14T23:03:52.0962704Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-14T23:03:52.0963037Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-14T23:03:52.0963326Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-14T23:03:52.0963677Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-14T23:03:52.0963910Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-14T23:03:52.0964097Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-14T23:03:52.0964588Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-14T23:03:52.0964697Z   413 |           PtrVector data(base, base + ntensor);
2025-08-14T23:03:52.0964773Z       |                     ^~~~
2025-08-14T23:03:52.0966311Z 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
2025-08-14T23:03:52.4308441Z building 'torch_test_cpp_extension.cuda' extension
2025-08-14T23:03:53.5831358Z [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 '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1016"' -DTORCH_EXTENSION_NAME=cuda -std=c++17
2025-08-14T23:04:14.0070755Z [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_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 '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1016"' -DTORCH_EXTENSION_NAME=cuda -gencode=arch=compute_50,code=sm_50 -gencode=arch=compute_52,code=compute_52 -gencode=arch=compute_52,code=sm_52 -std=c++17
2025-08-14T23:04:14.0075673Z nvcc warning : Support for offline compilation for architectures prior to '<compute/sm/lto>_75' will be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
2025-08-14T23:04:14.0690339Z [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_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 '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1016"' -DTORCH_EXTENSION_NAME=cuda -gencode=arch=compute_50,code=sm_50 -gencode=arch=compute_52,code=compute_52 -gencode=arch=compute_52,code=sm_52 -std=c++17
2025-08-14T23:04:14.0695242Z nvcc warning : Support for offline compilation for architectures prior to '<compute/sm/lto>_75' will be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
2025-08-14T23:04:14.0736832Z 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
2025-08-14T23:04:14.5720773Z building 'torch_test_cpp_extension.torch_library' extension
2025-08-14T23:05:01.1359426Z [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 '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1016"' -DTORCH_EXTENSION_NAME=torch_library -gencode=arch=compute_50,code=sm_50 -gencode=arch=compute_52,code=compute_52 -gencode=arch=compute_52,code=sm_52 -std=c++17
2025-08-14T23:05:01.1364202Z nvcc warning : Support for offline compilation for architectures prior to '<compute/sm/lto>_75' will be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
2025-08-14T23:05:01.1415840Z 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
2025-08-14T23:05:01.4771336Z building 'torch_test_cpp_extension.cublas_extension' extension
2025-08-14T23:05:02.4657910Z [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 '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1016"' -DTORCH_EXTENSION_NAME=cublas_extension -std=c++17
2025-08-14T23:05:02.4705003Z 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
2025-08-14T23:05:02.7110728Z building 'torch_test_cpp_extension.cusolver_extension' extension
2025-08-14T23:05:03.7196464Z [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 '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1016"' -DTORCH_EXTENSION_NAME=cusolver_extension -std=c++17
2025-08-14T23:05:03.7244462Z 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
2025-08-14T23:05:03.9687668Z building 'torch_test_cpp_extension.cuda_dlink' extension
2025-08-14T23:05:05.0790911Z [1/4] 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 '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1016"' -DTORCH_EXTENSION_NAME=cuda_dlink -std=c++17
2025-08-14T23:05:05.0797853Z [2/4] /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 '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1016"' -DTORCH_EXTENSION_NAME=cuda_dlink -gencode=arch=compute_50,code=sm_50 -gencode=arch=compute_52,code=compute_52 -gencode=arch=compute_52,code=sm_52 -std=c++17
2025-08-14T23:05:05.0802056Z nvcc warning : Support for offline compilation for architectures prior to '<compute/sm/lto>_75' will be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
2025-08-14T23:05:24.7913981Z [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 '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1016"' -DTORCH_EXTENSION_NAME=cuda_dlink -gencode=arch=compute_50,code=sm_50 -gencode=arch=compute_52,code=compute_52 -gencode=arch=compute_52,code=sm_52 -std=c++17
2025-08-14T23:05:24.7920045Z nvcc warning : Support for offline compilation for architectures prior to '<compute/sm/lto>_75' will be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
2025-08-14T23:05:24.9357003Z [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 '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1016"' -DTORCH_EXTENSION_NAME=cuda_dlink -gencode=arch=compute_50,code=sm_50 -gencode=arch=compute_52,code=compute_52 -gencode=arch=compute_52,code=sm_52
2025-08-14T23:05:24.9361210Z nvcc warning : Support for offline compilation for architectures prior to '<compute/sm/lto>_75' will be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
2025-08-14T23:05:24.9362391Z 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 (target: sm_50)
2025-08-14T23:05:24.9363521Z 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 (target: sm_50)
2025-08-14T23:05:24.9364321Z nvlink warning : Ignoring -dlto option because no LTO objects found (target: sm_50)
2025-08-14T23:05:24.9365131Z 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 (target: sm_52)
2025-08-14T23:05:24.9366258Z 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 (target: sm_52)
2025-08-14T23:05:24.9367050Z nvlink warning : Ignoring -dlto option because no LTO objects found (target: sm_52)
2025-08-14T23:05:24.9403709Z 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
2025-08-14T23:05:25.4449698Z running install_lib
2025-08-14T23:05:25.4524934Z 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
2025-08-14T23:05:25.4619064Z 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
2025-08-14T23:05:25.4715917Z 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
2025-08-14T23:05:25.4816069Z 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
2025-08-14T23:05:25.4901204Z 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
2025-08-14T23:05:25.4904807Z 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
2025-08-14T23:05:25.4907899Z 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
2025-08-14T23:05:25.4910558Z 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
2025-08-14T23:05:25.4986634Z running install_egg_info
2025-08-14T23:05:25.5143826Z running egg_info
2025-08-14T23:05:25.5205285Z writing torch_test_cpp_extension.egg-info/PKG-INFO
2025-08-14T23:05:25.5208677Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt
2025-08-14T23:05:25.5210677Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt
2025-08-14T23:05:25.5213905Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt
2025-08-14T23:05:25.5279829Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-08-14T23:05:25.5289677Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-08-14T23:05:25.5291136Z 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)
2025-08-14T23:05:25.5293207Z 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
2025-08-14T23:05:25.5300528Z running install_scripts
2025-08-14T23:05:27.7060179Z running install
2025-08-14T23:05:27.7060947Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-08-14T23:05:27.7061801Z !!
2025-08-14T23:05:27.7061916Z 
2025-08-14T23:05:27.7062043Z         ********************************************************************************
2025-08-14T23:05:27.7062517Z         Please avoid running ``setup.py`` directly.
2025-08-14T23:05:27.7062929Z         Instead, use pypa/build, pypa/installer or other
2025-08-14T23:05:27.7063395Z         standards-based tools.
2025-08-14T23:05:27.7063592Z 
2025-08-14T23:05:27.7063802Z         By 2025-Oct-31, you need to update your project and remove deprecated calls
2025-08-14T23:05:27.7064376Z         or your builds will no longer be supported.
2025-08-14T23:05:27.7064596Z 
2025-08-14T23:05:27.7064879Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-08-14T23:05:27.7065492Z         ********************************************************************************
2025-08-14T23:05:27.7065711Z 
2025-08-14T23:05:27.7065784Z !!
2025-08-14T23:05:27.7066094Z   self.initialize_options()
2025-08-14T23:05:27.7164760Z running build
2025-08-14T23:05:27.7164984Z running build_ext
2025-08-14T23:05:27.7448634Z building 'no_python_abi_suffix_test' extension
2025-08-14T23:05:27.7954770Z ninja: no work to do.
2025-08-14T23:05:27.7988764Z 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
2025-08-14T23:05:27.8932613Z running install_lib
2025-08-14T23:05:27.9003702Z 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
2025-08-14T23:05:27.9008480Z running install_egg_info
2025-08-14T23:05:27.9159333Z running egg_info
2025-08-14T23:05:27.9223762Z writing no_python_abi_suffix_test.egg-info/PKG-INFO
2025-08-14T23:05:27.9227491Z writing dependency_links to no_python_abi_suffix_test.egg-info/dependency_links.txt
2025-08-14T23:05:27.9230704Z writing top-level names to no_python_abi_suffix_test.egg-info/top_level.txt
2025-08-14T23:05:27.9293224Z reading manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2025-08-14T23:05:27.9301398Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2025-08-14T23:05:27.9303054Z 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)
2025-08-14T23:05:27.9304900Z 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
2025-08-14T23:05:27.9311338Z running install_scripts
2025-08-14T23:05:29.9021350Z running bdist_wheel
2025-08-14T23:05:29.9548708Z running build
2025-08-14T23:05:29.9548975Z running build_ext
2025-08-14T23:05:29.9581274Z building 'python_agnostic._C' extension
2025-08-14T23:05:30.0199210Z ninja: no work to do.
2025-08-14T23:05:30.0236674Z 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
2025-08-14T23:05:30.4678773Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-08-14T23:05:30.4679518Z !!
2025-08-14T23:05:30.4679628Z 
2025-08-14T23:05:30.4679755Z         ********************************************************************************
2025-08-14T23:05:30.4680153Z         Please avoid running ``setup.py`` directly.
2025-08-14T23:05:30.4680682Z         Instead, use pypa/build, pypa/installer or other
2025-08-14T23:05:30.4681036Z         standards-based tools.
2025-08-14T23:05:30.4681188Z 
2025-08-14T23:05:30.4681351Z         By 2025-Oct-31, you need to update your project and remove deprecated calls
2025-08-14T23:05:30.4681751Z         or your builds will no longer be supported.
2025-08-14T23:05:30.4682001Z 
2025-08-14T23:05:30.4682240Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-08-14T23:05:30.4682613Z         ********************************************************************************
2025-08-14T23:05:30.4682787Z 
2025-08-14T23:05:30.4682848Z !!
2025-08-14T23:05:30.4683022Z   self.initialize_options()
2025-08-14T23:05:30.4741521Z installing to build/bdist.linux-x86_64/wheel
2025-08-14T23:05:30.4741848Z running install
2025-08-14T23:05:30.4781253Z running install_lib
2025-08-14T23:05:30.4846343Z creating build/bdist.linux-x86_64/wheel
2025-08-14T23:05:30.4847891Z creating build/bdist.linux-x86_64/wheel/python_agnostic
2025-08-14T23:05:30.4849194Z copying build/lib.linux-x86_64-cpython-310/python_agnostic/_C.so -> build/bdist.linux-x86_64/wheel/./python_agnostic
2025-08-14T23:05:30.4854512Z running install_egg_info
2025-08-14T23:05:30.4919099Z running egg_info
2025-08-14T23:05:30.4978023Z writing python_agnostic.egg-info/PKG-INFO
2025-08-14T23:05:30.4982191Z writing dependency_links to python_agnostic.egg-info/dependency_links.txt
2025-08-14T23:05:30.4985519Z writing top-level names to python_agnostic.egg-info/top_level.txt
2025-08-14T23:05:30.5051637Z reading manifest file 'python_agnostic.egg-info/SOURCES.txt'
2025-08-14T23:05:30.5060043Z writing manifest file 'python_agnostic.egg-info/SOURCES.txt'
2025-08-14T23:05:30.5061548Z Copying python_agnostic.egg-info to build/bdist.linux-x86_64/wheel/./python_agnostic-0.0-py3.10.egg-info
2025-08-14T23:05:30.5069129Z running install_scripts
2025-08-14T23:05:30.5174979Z creating build/bdist.linux-x86_64/wheel/python_agnostic-0.0.dist-info/WHEEL
2025-08-14T23:05:30.5178588Z creating 'dist/python_agnostic-0.0-cp39-abi3-linux_x86_64.whl' and adding 'build/bdist.linux-x86_64/wheel' to it
2025-08-14T23:05:30.5326529Z adding 'python_agnostic/_C.so'
2025-08-14T23:05:30.5331843Z adding 'python_agnostic-0.0.dist-info/METADATA'
2025-08-14T23:05:30.5332659Z adding 'python_agnostic-0.0.dist-info/WHEEL'
2025-08-14T23:05:30.5334049Z adding 'python_agnostic-0.0.dist-info/top_level.txt'
2025-08-14T23:05:30.5335238Z adding 'python_agnostic-0.0.dist-info/RECORD'
2025-08-14T23:05:30.5336937Z removing build/bdist.linux-x86_64/wheel
2025-08-14T23:05:32.5035803Z running install
2025-08-14T23:05:32.5036698Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-08-14T23:05:32.5037416Z !!
2025-08-14T23:05:32.5037526Z 
2025-08-14T23:05:32.5037684Z         ********************************************************************************
2025-08-14T23:05:32.5038044Z         Please avoid running ``setup.py`` directly.
2025-08-14T23:05:32.5038423Z         Instead, use pypa/build, pypa/installer or other
2025-08-14T23:05:32.5038748Z         standards-based tools.
2025-08-14T23:05:32.5038924Z 
2025-08-14T23:05:32.5039144Z         By 2025-Oct-31, you need to update your project and remove deprecated calls
2025-08-14T23:05:32.5039566Z         or your builds will no longer be supported.
2025-08-14T23:05:32.5039774Z 
2025-08-14T23:05:32.5040056Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-08-14T23:05:32.5040509Z         ********************************************************************************
2025-08-14T23:05:32.5040725Z 
2025-08-14T23:05:32.5040796Z !!
2025-08-14T23:05:32.5040987Z   self.initialize_options()
2025-08-14T23:05:32.5138543Z running build
2025-08-14T23:05:32.5138800Z running build_py
2025-08-14T23:05:32.5203794Z copying libtorch_agnostic/__init__.py -> build/lib.linux-x86_64-cpython-310/libtorch_agnostic
2025-08-14T23:05:32.5206634Z copying libtorch_agnostic/ops.py -> build/lib.linux-x86_64-cpython-310/libtorch_agnostic
2025-08-14T23:05:32.5212984Z running build_ext
2025-08-14T23:05:32.5500856Z building 'libtorch_agnostic._C' extension
2025-08-14T23:05:32.6013348Z ninja: no work to do.
2025-08-14T23:05:32.6046823Z 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
2025-08-14T23:05:32.9347056Z running install_lib
2025-08-14T23:05:32.9419930Z 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
2025-08-14T23:05:32.9425724Z running install_egg_info
2025-08-14T23:05:32.9570492Z running egg_info
2025-08-14T23:05:32.9635662Z writing libtorch_agnostic.egg-info/PKG-INFO
2025-08-14T23:05:32.9639632Z writing dependency_links to libtorch_agnostic.egg-info/dependency_links.txt
2025-08-14T23:05:32.9642373Z writing requirements to libtorch_agnostic.egg-info/requires.txt
2025-08-14T23:05:32.9643863Z writing top-level names to libtorch_agnostic.egg-info/top_level.txt
2025-08-14T23:05:32.9708484Z reading manifest file 'libtorch_agnostic.egg-info/SOURCES.txt'
2025-08-14T23:05:32.9718169Z writing manifest file 'libtorch_agnostic.egg-info/SOURCES.txt'
2025-08-14T23:05:32.9720127Z 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)
2025-08-14T23:05:32.9722137Z 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
2025-08-14T23:05:32.9730883Z running install_scripts
2025-08-14T23:05:33.3955492Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:05:33.3958241Z 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'] ... [2025-08-14 23:05:33.395526]
2025-08-14T23:05:37.3701990Z 
2025-08-14T23:05:37.3702841Z 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_d105793756db6050_.log
2025-08-14T23:05:37.3708300Z 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
2025-08-14T23:05:37.3713508Z 
2025-08-14T23:05:37.3713671Z Running inductor/test_smoke 1/1 ... [2025-08-14 23:05:37.370419]
2025-08-14T23:05:37.3713983Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:05:37.3714772Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_smoke.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'] ... [2025-08-14 23:05:37.370736]
2025-08-14T23:05:42.8993923Z 
2025-08-14T23:05:42.8995146Z inductor/test_smoke 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_smoke_1.1_540125d0c0db9d99_.log
2025-08-14T23:05:42.8995963Z 
2025-08-14T23:05:42.8996720Z Running inductor/test_cpu_select_algorithm 1/1 ... [2025-08-14 23:05:42.899457]
2025-08-14T23:05:42.8997074Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:05:42.9000413Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cpu_select_algorithm.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'] ... [2025-08-14 23:05:42.899816]
2025-08-14T23:05:49.2681682Z 
2025-08-14T23:05:49.2682994Z inductor/test_cpu_select_algorithm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_select_algorithm_1.1_ca1382ceb1dc73f2_.log
2025-08-14T23:05:49.2684115Z Running 0 items in this shard:
2025-08-14T23:05:49.2684334Z 
2025-08-14T23:05:49.2684556Z Running inductor/test_autoheuristic 1/1 ... [2025-08-14 23:05:49.268246]
2025-08-14T23:05:49.2684972Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:05:49.2688448Z 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'] ... [2025-08-14 23:05:49.268586]
2025-08-14T23:05:55.0628315Z 
2025-08-14T23:05:55.0629194Z inductor/test_autoheuristic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_autoheuristic_1.1_6e2226f67a6db902_.log
2025-08-14T23:05:55.0629982Z Running 0 items in this shard:
2025-08-14T23:05:55.0630172Z 
2025-08-14T23:05:55.0631953Z Running xpu/test_fusion 1/1 ... [2025-08-14 23:05:55.063017]
2025-08-14T23:05:55.0632281Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:05:55.0635337Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'xpu/test_fusion.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'] ... [2025-08-14 23:05:55.063344]
2025-08-14T23:05:58.6273212Z 
2025-08-14T23:05:58.6274012Z xpu/test_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_fusion_1.1_0e37290d8dca47d9_.log
2025-08-14T23:05:58.6274702Z Running 0 items in this shard:
2025-08-14T23:05:58.6274889Z 
2025-08-14T23:05:58.6285114Z Running test_decomp 9/14 ... [2025-08-14 23:05:58.627453]
2025-08-14T23:05:58.6285498Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:05:58.6286303Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=9', '--num-shards=14', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 23:05:58.627784]
2025-08-14T23:06:05.0530246Z 
2025-08-14T23:06:05.0531016Z test_decomp 9/14 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_9.14_b70c9ee8bea3b50a_.log
2025-08-14T23:06:05.0531692Z Running 0 items in this shard:
2025-08-14T23:06:05.0531902Z 
2025-08-14T23:06:05.0534465Z Running test_ops 4/8 ... [2025-08-14 23:06:05.053229]
2025-08-14T23:06:05.0534769Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:06:05.0538685Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'serial', '--shard-id=4', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 23:06:05.053637]
2025-08-14T23:06:18.3410421Z 
2025-08-14T23:06:18.3411161Z test_ops 4/8 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_4.8_637350db57f66f4a_.log
2025-08-14T23:06:18.3412014Z Running 0 items in this shard:
2025-08-14T23:06:18.3412611Z 
2025-08-14T23:06:18.3414306Z Running test_ops 5/8 ... [2025-08-14 23:06:18.341201]
2025-08-14T23:06:18.3414683Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:06:18.3418318Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'serial', '--shard-id=5', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 23:06:18.341582]
2025-08-14T23:06:31.9791016Z 
2025-08-14T23:06:31.9792267Z test_ops 5/8 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_5.8_9bec793a52002bc1_.log
2025-08-14T23:06:31.9793443Z Running 0 items in this shard:
2025-08-14T23:06:31.9793816Z 
2025-08-14T23:06:31.9796166Z Running test_ops 6/8 ... [2025-08-14 23:06:31.979410]
2025-08-14T23:06:31.9796538Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:06:31.9800881Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'serial', '--shard-id=6', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 23:06:31.979816]
2025-08-14T23:06:45.4668913Z 
2025-08-14T23:06:45.4670050Z test_ops 6/8 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_6.8_f9d9bb572b435b66_.log
2025-08-14T23:06:45.4670723Z Running 0 items in this shard:
2025-08-14T23:06:45.4670977Z 
2025-08-14T23:06:45.4673018Z Running optim/test_optim 1/1 ... [2025-08-14 23:06:45.467054]
2025-08-14T23:06:45.4673423Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:06:45.4676909Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'optim/test_optim.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'] ... [2025-08-14 23:06:45.467437]
2025-08-14T23:06:48.6045782Z 
2025-08-14T23:06:48.6046570Z optim/test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_optim_1.1_eb57c85532926f93_.log
2025-08-14T23:06:48.6047185Z 
2025-08-14T23:06:48.6049689Z Running nn/test_load_state_dict 1/1 ... [2025-08-14 23:06:48.604742]
2025-08-14T23:06:48.6050042Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:06:48.6053964Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_load_state_dict.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'] ... [2025-08-14 23:06:48.605174]
2025-08-14T23:06:52.1756161Z 
2025-08-14T23:06:52.1756894Z nn/test_load_state_dict 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_load_state_dict_1.1_4bc740c77acecfd3_.log
2025-08-14T23:06:52.1757504Z Running 0 items in this shard:
2025-08-14T23:06:52.1757647Z 
2025-08-14T23:06:52.1760905Z Running test_shape_ops 1/1 ... [2025-08-14 23:06:52.175862]
2025-08-14T23:06:52.1761300Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:06:52.1765328Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_shape_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 23:06:52.176281]
2025-08-14T23:06:55.9475164Z 
2025-08-14T23:06:55.9475938Z test_shape_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_shape_ops_1.1_39110ae2cf684726_.log
2025-08-14T23:06:55.9476620Z Running 0 items in this shard:
2025-08-14T23:06:55.9476799Z 
2025-08-14T23:06:55.9478727Z Running torch_np/numpy_tests/core/test_dtype 1/1 ... [2025-08-14 23:06:55.947653]
2025-08-14T23:06:55.9479181Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:06:55.9482847Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_dtype.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'] ... [2025-08-14 23:06:55.948030]
2025-08-14T23:06:59.3685157Z 
2025-08-14T23:06:59.3686163Z torch_np/numpy_tests/core/test_dtype 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_dtype_1.1_2f39b4052eb2a622_.log
2025-08-14T23:06:59.3686991Z Running 0 items in this shard:
2025-08-14T23:06:59.3687165Z 
2025-08-14T23:06:59.3689375Z Running torch_np/numpy_tests/core/test_shape_base 1/1 ... [2025-08-14 23:06:59.368671]
2025-08-14T23:06:59.3689977Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:06:59.3693467Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_shape_base.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'] ... [2025-08-14 23:06:59.369046]
2025-08-14T23:07:02.6893892Z 
2025-08-14T23:07:02.6895455Z torch_np/numpy_tests/core/test_shape_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_shape_base_1.1_4795108bb96e69a2_.log
2025-08-14T23:07:02.6896412Z Running 0 items in this shard:
2025-08-14T23:07:02.6896596Z 
2025-08-14T23:07:02.6898473Z Running test_type_info 1/1 ... [2025-08-14 23:07:02.689664]
2025-08-14T23:07:02.6898783Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:07:02.6902559Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_type_info.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'] ... [2025-08-14 23:07:02.690060]
2025-08-14T23:07:05.9602736Z 
2025-08-14T23:07:05.9604327Z test_type_info 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_info_1.1_04f27c0fcb826218_.log
2025-08-14T23:07:05.9605683Z Running 0 items in this shard:
2025-08-14T23:07:05.9606057Z 
2025-08-14T23:07:05.9608184Z Running test_jit_llga_fuser 1/1 ... [2025-08-14 23:07:05.960589]
2025-08-14T23:07:05.9608532Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:07:05.9612645Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_jit_llga_fuser.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'] ... [2025-08-14 23:07:05.961019]
2025-08-14T23:07:09.7322195Z 
2025-08-14T23:07:09.7323028Z test_jit_llga_fuser 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_llga_fuser_1.1_4cdf6c4961ec6e21_.log
2025-08-14T23:07:09.7323726Z Running 0 items in this shard:
2025-08-14T23:07:09.7323913Z 
2025-08-14T23:07:09.7326093Z Running test_indexing 1/1 ... [2025-08-14 23:07:09.732363]
2025-08-14T23:07:09.7326593Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:07:09.7329969Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_indexing.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'] ... [2025-08-14 23:07:09.732759]
2025-08-14T23:07:13.7046532Z 
2025-08-14T23:07:13.7047786Z test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_indexing_1.1_28bcf30afa8ae226_.log
2025-08-14T23:07:13.7049286Z Running 1 items in this shard: test/test_indexing.py::TestIndexingCUDA::test_index_put_accumulate_large_tensor_cuda
2025-08-14T23:07:13.7049650Z 
2025-08-14T23:07:13.7051268Z Running torch_np/test_function_base 1/1 ... [2025-08-14 23:07:13.704921]
2025-08-14T23:07:13.7051728Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:07:13.7055282Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_function_base.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'] ... [2025-08-14 23:07:13.705297]
2025-08-14T23:07:16.9759330Z 
2025-08-14T23:07:16.9760704Z torch_np/test_function_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_function_base_1.1_786d2e149d0a95ad_.log
2025-08-14T23:07:16.9761493Z Running 0 items in this shard:
2025-08-14T23:07:16.9761669Z 
2025-08-14T23:07:16.9763893Z Running torch_np/numpy_tests/lib/test_twodim_base 1/1 ... [2025-08-14 23:07:16.976165]
2025-08-14T23:07:16.9764374Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:07:16.9768433Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_twodim_base.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'] ... [2025-08-14 23:07:16.976572]
2025-08-14T23:07:20.2969206Z 
2025-08-14T23:07:20.2970894Z torch_np/numpy_tests/lib/test_twodim_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_twodim_base_1.1_4518a4a2fed6b2bc_.log
2025-08-14T23:07:20.2972063Z Running 0 items in this shard:
2025-08-14T23:07:20.2972296Z 
2025-08-14T23:07:20.2973937Z Running torch_np/test_scalars_0D_arrays 1/1 ... [2025-08-14 23:07:20.297141]
2025-08-14T23:07:20.2974407Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:07:20.2978591Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_scalars_0D_arrays.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'] ... [2025-08-14 23:07:20.297599]
2025-08-14T23:07:23.7181248Z 
2025-08-14T23:07:23.7182810Z torch_np/test_scalars_0D_arrays 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_scalars_0D_arrays_1.1_65044be556202f35_.log
2025-08-14T23:07:23.7183696Z Running 0 items in this shard:
2025-08-14T23:07:23.7183885Z 
2025-08-14T23:07:23.7186358Z Running nn/test_module_hooks 1/1 ... [2025-08-14 23:07:23.718421]
2025-08-14T23:07:23.7186795Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:07:23.7190367Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_module_hooks.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 23:07:23.718786]
2025-08-14T23:07:27.2894719Z 
2025-08-14T23:07:27.2895554Z nn/test_module_hooks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_module_hooks_1.1_c667840bec51a3ef_.log
2025-08-14T23:07:27.2896275Z Running 0 items in this shard:
2025-08-14T23:07:27.2896457Z 
2025-08-14T23:07:27.2898510Z Running test_numa_binding 1/1 ... [2025-08-14 23:07:27.289656]
2025-08-14T23:07:27.2898926Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:07:27.2902701Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_numa_binding.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 23:07:27.290033]
2025-08-14T23:07:30.6608469Z 
2025-08-14T23:07:30.6609337Z test_numa_binding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numa_binding_1.1_a889262a8b7911ba_.log
2025-08-14T23:07:30.6610038Z Running 0 items in this shard:
2025-08-14T23:07:30.6610326Z 
2025-08-14T23:07:30.6612185Z Running torch_np/numpy_tests/core/test_getlimits 1/1 ... [2025-08-14 23:07:30.660960]
2025-08-14T23:07:30.6612676Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:07:30.6616163Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_getlimits.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'] ... [2025-08-14 23:07:30.661378]
2025-08-14T23:07:33.9816993Z 
2025-08-14T23:07:33.9818011Z torch_np/numpy_tests/core/test_getlimits 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_getlimits_1.1_ce3201d83caefa64_.log
2025-08-14T23:07:33.9818894Z Running 0 items in this shard:
2025-08-14T23:07:33.9819081Z 
2025-08-14T23:07:33.9821200Z Running torch_np/test_ndarray_methods 1/1 ... [2025-08-14 23:07:33.981888]
2025-08-14T23:07:33.9821660Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:07:33.9825494Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_ndarray_methods.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'] ... [2025-08-14 23:07:33.982296]
2025-08-14T23:07:37.4023999Z 
2025-08-14T23:07:37.4024930Z torch_np/test_ndarray_methods 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_ndarray_methods_1.1_249280ae07b9ecde_.log
2025-08-14T23:07:37.4025733Z Running 0 items in this shard:
2025-08-14T23:07:37.4025922Z 
2025-08-14T23:07:37.4028183Z Running lazy/test_debug_util 1/1 ... [2025-08-14 23:07:37.402598]
2025-08-14T23:07:37.4028680Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:07:37.4032178Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_debug_util.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'] ... [2025-08-14 23:07:37.402988]
2025-08-14T23:07:40.6732146Z 
2025-08-14T23:07:40.6732976Z lazy/test_debug_util 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_debug_util_1.1_098de16482213ef1_.log
2025-08-14T23:07:40.6733738Z Running 0 items in this shard:
2025-08-14T23:07:40.6733921Z 
2025-08-14T23:07:40.6736175Z Running torch_np/numpy_tests/lib/test_shape_base_ 1/1 ... [2025-08-14 23:07:40.673370]
2025-08-14T23:07:40.6736670Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:07:40.6740066Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_shape_base_.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'] ... [2025-08-14 23:07:40.673762]
2025-08-14T23:07:43.9940907Z 
2025-08-14T23:07:43.9942446Z torch_np/numpy_tests/lib/test_shape_base_ 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_shape_base__1.1_b76289666dddd9c4_.log
2025-08-14T23:07:43.9944065Z Running 0 items in this shard:
2025-08-14T23:07:43.9944400Z 
2025-08-14T23:07:43.9948594Z Running torch_np/numpy_tests/linalg/test_linalg 1/1 ... [2025-08-14 23:07:43.994621]
2025-08-14T23:07:43.9949072Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:07:43.9952562Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/linalg/test_linalg.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'] ... [2025-08-14 23:07:43.995019]
2025-08-14T23:07:47.4654877Z 
2025-08-14T23:07:47.4655909Z torch_np/numpy_tests/linalg/test_linalg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.linalg.test_linalg_1.1_29085627eff16dbe_.log
2025-08-14T23:07:47.4656910Z Running 0 items in this shard:
2025-08-14T23:07:47.4657105Z 
2025-08-14T23:07:47.4657734Z Running test_sparse_csr 1/2 ... [2025-08-14 23:07:47.465584]
2025-08-14T23:07:47.4658100Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:07:47.4662149Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_sparse_csr.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'] ... [2025-08-14 23:07:47.465975]
2025-08-14T23:07:53.2404833Z 
2025-08-14T23:07:53.2405638Z test_sparse_csr 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_sparse_csr_1.2_3137c2abfa4a988c_.log
2025-08-14T23:07:53.2406318Z Running 0 items in this shard:
2025-08-14T23:07:53.2406492Z 
2025-08-14T23:07:53.2408412Z Running test_sparse_csr 2/2 ... [2025-08-14 23:07:53.240615]
2025-08-14T23:07:53.2408799Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:07:53.2412990Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_sparse_csr.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'] ... [2025-08-14 23:07:53.241008]
2025-08-14T23:07:58.9649530Z 
2025-08-14T23:07:58.9650730Z test_sparse_csr 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_sparse_csr_2.2_5b81c9c5a84a9123_.log
2025-08-14T23:07:58.9651480Z Running 0 items in this shard:
2025-08-14T23:07:58.9651669Z 
2025-08-14T23:08:01.9089914Z /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.
2025-08-14T23:08:01.9091348Z   import pkg_resources
2025-08-14T23:08:01.9236287Z /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.
2025-08-14T23:08:01.9237629Z   import pkg_resources
2025-08-14T23:08:01.9243543Z /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.
2025-08-14T23:08:01.9244867Z   import pkg_resources
2025-08-14T23:08:02.2680805Z Running inductor/test_smoke 1/1 ... [2025-08-14 23:08:02.267638]
2025-08-14T23:08:02.2681505Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:08:02.2683794Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_smoke.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'] ... [2025-08-14 23:08:02.268052]
2025-08-14T23:08:02.2778236Z Running inductor/test_cpu_select_algorithm 1/1 ... [2025-08-14 23:08:02.277535]
2025-08-14T23:08:02.2778719Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:08:02.2781466Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cpu_select_algorithm.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'] ... [2025-08-14 23:08:02.277879]
2025-08-14T23:08:02.2808375Z Running inductor/test_autoheuristic 1/1 ... [2025-08-14 23:08:02.280616]
2025-08-14T23:08:02.2808841Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:08:02.2812440Z 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'] ... [2025-08-14 23:08:02.280966]
2025-08-14T23:08:08.3055764Z 
2025-08-14T23:08:08.3056679Z inductor/test_smoke 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_smoke_1.1_cad1cbd832a131b1_.log
2025-08-14T23:08:08.3057714Z 
2025-08-14T23:08:10.0598472Z 
2025-08-14T23:08:10.0599713Z inductor/test_autoheuristic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_autoheuristic_1.1_d75f0fc1a73d973c_.log
2025-08-14T23:08:10.0600554Z Running 0 items in this shard:
2025-08-14T23:08:10.0600737Z 
2025-08-14T23:08:11.8788167Z 
2025-08-14T23:08:11.8789284Z inductor/test_cpu_select_algorithm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_select_algorithm_1.1_a311c112ee71a39c_.log
2025-08-14T23:08:11.8790127Z Running 0 items in this shard:
2025-08-14T23:08:11.8790311Z 
2025-08-14T23:08:12.1778892Z /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.
2025-08-14T23:08:12.1780193Z   import pkg_resources
2025-08-14T23:08:12.5528159Z Running xpu/test_fusion 1/1 ... [2025-08-14 23:08:12.552398]
2025-08-14T23:08:12.5528595Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:08:12.5531111Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'xpu/test_fusion.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'] ... [2025-08-14 23:08:12.552798]
2025-08-14T23:08:13.9235190Z /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.
2025-08-14T23:08:13.9236630Z   import pkg_resources
2025-08-14T23:08:14.2796481Z Running test_decomp 9/14 ... [2025-08-14 23:08:14.279201]
2025-08-14T23:08:14.2797137Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:08:14.2798200Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=9', '--num-shards=14', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 23:08:14.279547]
2025-08-14T23:08:15.6441356Z /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.
2025-08-14T23:08:15.6442865Z   import pkg_resources
2025-08-14T23:08:16.0072604Z Running test_ops 4/8 ... [2025-08-14 23:08:16.006835]
2025-08-14T23:08:16.0073106Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:08:16.0074720Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'not serial', '--shard-id=4', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 23:08:16.007188]
2025-08-14T23:08:16.7137887Z 
2025-08-14T23:08:16.7138934Z xpu/test_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_fusion_1.1_a48428f48bf4bf01_.log
2025-08-14T23:08:16.7139653Z Running 0 items in this shard:
2025-08-14T23:08:16.7139835Z 
2025-08-14T23:08:20.4599409Z /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.
2025-08-14T23:08:20.4600831Z   import pkg_resources
2025-08-14T23:08:20.8123720Z Running test_ops 5/8 ... [2025-08-14 23:08:20.811890]
2025-08-14T23:08:20.8124640Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:08:20.8125978Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'not serial', '--shard-id=5', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 23:08:20.812260]
2025-08-14T23:17:20.1860048Z 
2025-08-14T23:17:20.1860819Z test_ops 5/8 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_5.8_0aa5b06962cd5fbb_.log
2025-08-14T23:17:20.2876479Z Running 4244 items in this shard: test/test_ops.py::TestCommonCUDA::test_compare_cpu_T_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu___rmod___cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu___rxor___cuda_int64, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_T_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs__conversions_chalf_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_addcdiv_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_addr_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_as_strided_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_atleast_1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_bitwise_left_shift_cuda_int64, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_column_stack_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_constant_pad_nd_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_div_floor_rounding_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_dstack_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_flipud_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_hstack_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_index_add_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_linalg_svd_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_log_softmax_with_dtype_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_movedim_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_normal_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_randn_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_stack_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_to_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_unfold_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_view_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_bincount_cuda_int64, test/test_ops.py::TestCommonCUDA::test_compare_cpu_byte_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_cholesky_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_cholesky_solve_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_chunk_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_cummin_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_diagonal_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_empty_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_empty_permuted_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_expand_as_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_exponential_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_fft_fftshift_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_fmax_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_full_like_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_geqrf_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_linalg_det_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_linalg_lstsq_grad_oriented_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_linalg_multi_dot_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_linalg_pinv_singular_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_linspace_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_masked_scatter_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_masked_softmin_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_movedim_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_mv_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nanmedian_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_new_ones_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nextafter_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_adaptive_max_pool1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_adaptive_max_pool2d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_alpha_dropout_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_huber_loss_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_interpolate_nearest-exact_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_pad_reflect_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_scaled_dot_product_attention_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_norm_fro_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_permute_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_randn_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_scatter_reduce_sum_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_short_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_softmax_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_special_hermite_polynomial_h_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_special_shifted_chebyshev_polynomial_v_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_std_mean_unbiased_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_std_unbiased_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_take_along_dim_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_transpose_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_unfold_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_unsqueeze_cuda_float32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_abs_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_acosh_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_add_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_asinh_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_atan_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_bfloat16_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_contiguous_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_fft_fft2_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_fft_hfft2_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_fft_ifftn_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_fft_irfft2_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_imag_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_index_select_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_new_zeros_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_ones_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_repeat_interleave_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_tril_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_triu_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_vstack_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_zeros_like_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_dtypes___rand___cuda, test/test_ops.py::TestCommonCUDA::test_dtypes___rmod___cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs__conversions_double_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_amin_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_arange_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_atleast_3d_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_cat_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_conj_physical_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_constant_pad_nd_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_expand_copy_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_fft_fftshift_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_fft_hfft_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_fft_hfftn_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_fft_ifft2_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_hstack_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_igamma_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_isinf_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_isnan_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_lgamma_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_linspace_tensor_overload_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_logical_not_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_logical_or_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_movedim_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_mul_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_ne_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_neg_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_new_empty_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_nn_functional_pixel_shuffle_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_nn_functional_softplus_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_nn_functional_softshrink_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_roll_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_softmax_with_dtype_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_special_bessel_j0_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_special_multigammaln_mvlgamma_p_1_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_special_multigammaln_mvlgamma_p_3_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_special_ndtri_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_special_spherical_bessel_j0_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_sum_to_size_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_take_along_dim_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_to_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_triu_indices_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_vstack_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_xlogy_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_add_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_asinh_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_atleast_2d_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_bool_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_bucketize_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_ceil_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_combinations_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_cummax_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_dot_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_empty_permuted_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_equal_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_expand_copy_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_fft_fftn_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_fft_hfftn_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_fft_ifftshift_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_fft_rfftn_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_floor_divide_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_fmin_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_full_like_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_geometric_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_geqrf_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_hash_tensor_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_isnan_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_jiterator_binary_return_by_ref_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_lcm_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_linalg_cholesky_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_linalg_det_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_linalg_eig_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_linalg_lstsq_grad_oriented_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_linalg_lu_factor_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_linalg_vector_norm_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_logaddexp2_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_logaddexp_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_lu_solve_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_masked_amin_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_masked_log_softmax_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_masked_norm_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_masked_softmin_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_mean_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_mm_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_new_zeros_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_alpha_dropout_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_binary_cross_entropy_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_binary_cross_entropy_with_logits_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_channel_shuffle_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_conv_transpose3d_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_cosine_embedding_loss_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_cross_entropy_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_dropout2d_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_fractional_max_pool2d_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_hardtanh_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_interpolate_linear_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_leaky_relu_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_nll_loss_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_pad_reflect_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_silu_complex_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_norm_inf_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_ones_like_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_pca_lowrank_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_permute_copy_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_pinverse_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_polygamma_polygamma_n_1_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_resolve_conj_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_scalar_tensor_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_scatter_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_scatter_reduce_amax_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_select_scatter_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_signal_windows_bartlett_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_signal_windows_general_cosine_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_signal_windows_general_hamming_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_softmax_with_dtype_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_sort_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_special_log_ndtr_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_square_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_std_mean_unbiased_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_take_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_tril_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_uniform_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_unsqueeze_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_vsplit_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_where_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_zero__cuda, test/test_ops.py::TestCommonCUDA::test_errors___rdiv___cuda, test/test_ops.py::TestCommonCUDA::test_errors___rsub___cuda, test/test_ops.py::TestCommonCUDA::test_errors___rxor___cuda, test/test_ops.py::TestCommonCUDA::test_errors_bernoulli_cuda, test/test_ops.py::TestCommonCUDA::test_errors_complex_cuda, test/test_ops.py::TestCommonCUDA::test_errors_diagonal_copy_cuda, test/test_ops.py::TestCommonCUDA::test_errors_fft_fft_cuda, test/test_ops.py::TestCommonCUDA::test_errors_fft_ifftn_cuda, test/test_ops.py::TestCommonCUDA::test_errors_fft_ihfft_cuda, test/test_ops.py::TestCommonCUDA::test_errors_fft_ihfftn_cuda, test/test_ops.py::TestCommonCUDA::test_errors_fft_irfftn_cuda, test/test_ops.py::TestCommonCUDA::test_errors_fft_rfft_cuda, test/test_ops.py::TestCommonCUDA::test_errors_fft_rfftn_cuda, test/test_ops.py::TestCommonCUDA::test_errors_floor_divide_cuda, test/test_ops.py::TestCommonCUDA::test_errors_hstack_cuda, test/test_ops.py::TestCommonCUDA::test_errors_index_add_cuda, test/test_ops.py::TestCommonCUDA::test_errors_logical_and_cuda, test/test_ops.py::TestCommonCUDA::test_errors_logical_or_cuda, test/test_ops.py::TestCommonCUDA::test_errors_logical_xor_cuda, test/test_ops.py::TestCommonCUDA::test_errors_nn_functional_poisson_nll_loss_cuda, test/test_ops.py::TestCommonCUDA::test_errors_nn_functional_rms_norm_cuda, test/test_ops.py::TestCommonCUDA::test_errors_nn_functional_triplet_margin_with_distance_loss_cuda, test/test_ops.py::TestCommonCUDA::test_errors_renorm_cuda, test/test_ops.py::TestCommonCUDA::test_errors_reshape_cuda, test/test_ops.py::TestCommonCUDA::test_errors_scatter_add_cuda, test/test_ops.py::TestCommonCUDA::test_errors_scatter_cuda, test/test_ops.py::TestCommonCUDA::test_errors_signal_windows_nuttall_cuda, test/test_ops.py::TestCommonCUDA::test_errors_sparse_mul_layout1_cuda, test/test_ops.py::TestCommonCUDA::test_errors_sparse_mul_layout2_cuda, test/test_ops.py::TestCommonCUDA::test_errors_sparse_randn_like_layout4_cuda, test/test_ops.py::TestCommonCUDA::test_errors_sparse_sum_layout1_cuda, test/test_ops.py::TestCommonCUDA::test_errors_sparse_zeros_like_layout1_cuda, test/test_ops.py::TestCommonCUDA::test_errors_sparse_zeros_like_layout4_cuda, test/test_ops.py::TestCommonCUDA::test_errors_special_shifted_chebyshev_polynomial_w_cuda, test/test_ops.py::TestCommonCUDA::test_errors_special_xlog1py_cuda, test/test_ops.py::TestCommonCUDA::test_errors_t_cuda, test/test_ops.py::TestCommonCUDA::test_errors_xlogy_cuda, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_acos_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_aminmax_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_atan2_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_bernoulli_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_bucketize_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_exp2_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_eye_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_fft_fft_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_fft_hfft_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_heaviside_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_isneginf_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_lerp_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_linalg_inv_ex_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_linalg_ldl_factor_ex_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_linalg_matrix_rank_hermitian_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_linalg_norm_subgradients_at_zero_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_linalg_solve_ex_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_linalg_solve_triangular_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_linalg_tensorsolve_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_logaddexp2_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_logaddexp_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_logical_and_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_logit_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_matmul_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_max_binary_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_mean_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_mul_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_multinomial_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_mv_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_nan_to_num_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_ne_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_nn_functional_hardshrink_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_quantile_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_rad2deg_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_randn_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_scatter_reduce_amin_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_sgn_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_sinc_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_sinh_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_special_airy_ai_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_special_bessel_j0_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_special_i1_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_special_modified_bessel_i1_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_special_scaled_modified_bessel_k0_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_special_spherical_bessel_j0_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_tan_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_tanh_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_tril_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_unsqueeze_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_vdot_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_view_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices___rdiv___cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices__unsafe_masked_index_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices__unsafe_masked_index_put_accumulate_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_acos_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_allclose_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_arange_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_argmin_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_as_strided_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_asin_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_bitwise_and_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_bucketize_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_cfloat_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_chunk_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_conj_physical_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_cross_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_cumprod_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_deg2rad_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_diag_embed_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_diagonal_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_div_no_rounding_mode_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_einsum_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_empty_like_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_erfc_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_erfinv_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_exp2_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_exp2_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_expand_as_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_fft_hfftn_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_fft_ifft2_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_fft_ifftn_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_fft_ihfftn_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_fft_irfftn_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_fft_rfft2_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_fill_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_fmax_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_heaviside_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_histc_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_hstack_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_isin_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_isinf_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_isnan_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_isreal_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_jiterator_4inputs_with_extra_args_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_lgamma_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_linalg_diagonal_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_linalg_eig_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_linalg_ldl_solve_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_linalg_norm_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_linalg_pinv_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_linspace_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_logdet_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_logsumexp_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_masked_amax_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_masked_cumprod_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_masked_var_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_max_binary_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_max_reduction_no_dim_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_min_binary_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_min_reduction_no_dim_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_min_reduction_with_dim_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_mvlgamma_mvlgamma_p_5_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nanquantile_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_narrow_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_native_layer_norm_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_ne_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_new_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_new_full_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_new_full_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_avg_pool3d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_conv_transpose1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_dropout_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_fractional_max_pool3d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_gelu_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_glu_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_interpolate_nearest-exact_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_max_unpool1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_mse_loss_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_soft_margin_loss_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_tanhshrink_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nonzero_static_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_outer_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_permute_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_pow_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_prod_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_put_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_qr_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_rad2deg_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_remainder_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_rsqrt_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_scatter_add_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_scatter_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_scatter_reduce_amax_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_scatter_reduce_prod_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_sign_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_signal_windows_bartlett_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_sin_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_sin_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_sinc_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_slice_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_slice_scatter_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_bessel_y1_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_erfcx_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_erfcx_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_hermite_polynomial_he_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_i1_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_ndtri_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_scaled_modified_bessel_k0_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_shifted_chebyshev_polynomial_w_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_spherical_bessel_j0_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_xlog1py_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_split_with_sizes_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_squeeze_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_squeeze_multiple_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_take_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_take_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_transpose_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_trapz_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_tril_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_true_divide_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_unbind_copy_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_uniform_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_unique_consecutive_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_unsafe_chunk_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_var_unbiased_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_zeros_like_cuda_int64, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_asin_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_bitwise_not_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_column_stack_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_digamma_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_div_no_rounding_mode_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_empty_strided_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_expand_as_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_expm1_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_fft_fft2_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_fft_fftn_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_fft_irfft_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_fft_irfftn_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_flip_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_full_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_gather_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_heaviside_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_i0_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_isnan_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_kron_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_logical_and_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_max_binary_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_min_reduction_no_dim_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_min_reduction_with_dim_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_mode_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_ne_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_new_empty_strided_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_nn_functional_pad_constant_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_put_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_ravel_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_resize__cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_roll_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_select_scatter_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_sgn_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_sigmoid_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_special_bessel_y1_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_special_hermite_polynomial_he_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_special_i0e_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_split_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_sqrt_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_squeeze_multiple_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_sum_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_tensor_split_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_trace_cuda_bool, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_T_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples___getitem___cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples___rmod___cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples___rpow___cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples__chunk_cat_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples__unsafe_masked_index_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples__unsafe_masked_index_put_accumulate_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_abs_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_acosh_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_add_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_alias_copy_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_all_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_arange_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_atleast_1d_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_atleast_3d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_atleast_3d_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_block_diag_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_bool_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_broadcast_tensors_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_byte_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cat_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cfloat_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_chalf_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_inverse_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_chunk_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_clamp_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_clamp_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_clone_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_clone_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_conj_physical_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_corrcoef_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cumsum_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cumulative_trapezoid_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cumulative_trapezoid_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_diag_embed_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_diagonal_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_diagonal_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_digamma_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_dstack_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_empty_permuted_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_eq_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_exponential_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_fft_hfftn_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_fft_ifft2_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_fft_ifftn_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_fft_ihfft2_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_fft_irfft_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_fft_rfft2_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_fill_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_flatten_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_float_power_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_float_power_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_floor_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_floor_divide_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_full_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_hash_tensor_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_hsplit_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_hstack_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_index_add_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_index_put_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_index_reduce_amin_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_int_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_isfinite_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_isin_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_isinf_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_jiterator_2inputs_2outputs_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_jiterator_binary_return_by_ref_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_kron_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_ldexp_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_linalg_eig_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_linalg_ldl_factor_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_linalg_ldl_solve_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_linalg_lu_solve_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_linalg_multi_dot_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_linalg_norm_subgradients_at_zero_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_linalg_pinv_hermitian_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_linalg_qr_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_linalg_solve_triangular_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_linalg_svd_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_linalg_vecdot_cuda_complex64, 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test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_isfinite_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_jiterator_4inputs_with_extra_args_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_jiterator_binary_return_by_ref_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_linalg_cond_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_linalg_pinv_hermitian_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_linalg_solve_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_linalg_solve_triangular_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_log10_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_logical_and_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_lu_solve_cuda_float32, 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test/test_ops.py::TestCompositeComplianceCUDA::test_operator_masked_argmax_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_masked_normalize_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_masked_sum_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_masked_var_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_max_binary_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_narrow_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_native_batch_norm_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_neg_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_celu_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_channel_shuffle_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_ctc_loss_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_dropout_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_feature_alpha_dropout_with_train_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_feature_alpha_dropout_without_train_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_hardtanh_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_local_response_norm_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_max_pool3d_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_mse_loss_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_nll_loss_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_softsign_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_norm_inf_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_randint_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_randn_like_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_resolve_neg_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_scatter_reduce_sum_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_sigmoid_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_signal_windows_cosine_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_signal_windows_kaiser_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_sinh_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_special_chebyshev_polynomial_v_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_special_i1_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_special_modified_bessel_k0_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_special_ndtri_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_split_with_sizes_copy_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_t_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_tan_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_true_divide_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_unsafe_chunk_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_var_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay___rdiv___cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay__upsample_bilinear2d_aa_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_addbmm_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_allclose_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_any_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_atleast_1d_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_atleast_3d_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_block_diag_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_bool_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_broadcast_shapes_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_cartesian_prod_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_column_stack_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_constant_pad_nd_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_cosh_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_diagflat_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_einsum_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_empty_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_empty_like_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_equal_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_erf_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_exp_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_expand_copy_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_eye_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_fft_hfft_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_fft_irfft_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_fft_rfft2_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_flatten_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_flipud_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_float_power_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_floor_divide_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_fmin_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_hsplit_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_igamma_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_igammac_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_isreal_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_jiterator_4inputs_with_extra_args_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_kthvalue_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_linalg_householder_product_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_linalg_inv_ex_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_linalg_lstsq_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_linalg_solve_ex_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_linalg_svd_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_log_normal_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_lu_unpack_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_masked_amax_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_masked_argmax_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_masked_cumsum_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_movedim_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_mvlgamma_mvlgamma_p_3_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_new_ones_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_adaptive_max_pool1d_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_avg_pool3d_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_batch_norm_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_conv_transpose2d_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_gaussian_nll_loss_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_interpolate_bilinear_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_layer_norm_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_pad_reflect_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_soft_margin_loss_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_softshrink_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_triplet_margin_loss_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_unfold_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_ormqr_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_permute_copy_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_polygamma_polygamma_n_3_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_polygamma_polygamma_n_4_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_rad2deg_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_randint_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_randn_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_scatter_add_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_scatter_reduce_amax_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_select_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_short_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_signal_windows_gaussian_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_signal_windows_hann_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_softmax_with_dtype_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_special_chebyshev_polynomial_v_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_special_chebyshev_polynomial_w_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_special_erfcx_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_special_i0e_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_square_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_std_unbiased_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_sum_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_svd_lowrank_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_tile_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_trapezoid_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_vdot_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_view_copy_cuda_float32, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_T_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs__conversions_float_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_abs_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_acosh_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_broadcast_to_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_conj_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_cosh_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_diagonal_copy_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_expand_as_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_fft_hfft2_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_linalg_diagonal_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_logical_and_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_logspace_tensor_overload_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_meshgrid_variadic_tensors_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_movedim_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_new_empty_strided_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_nn_functional_tanhshrink_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_ones_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_reciprocal_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_reshape_as_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_split_with_sizes_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_t_copy_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_transpose_copy_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_transpose_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_true_divide_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_unbind_copy_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_addmv_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_atleast_1d_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_atleast_2d_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_atleast_3d_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_bmm_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_char_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_cosh_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_cov_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_diag_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_double_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_dsplit_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_equal_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_expand_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_eye_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_fliplr_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_full_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_jiterator_2inputs_2outputs_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_linalg_diagonal_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_linalg_eig_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_linalg_eigh_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_linalg_eigvals_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_linalg_ldl_solve_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_linalg_matrix_norm_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_linalg_matrix_rank_hermitian_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_linalg_multi_dot_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_log1p_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_logical_or_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_logspace_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_logspace_tensor_overload_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_logsumexp_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_lu_unpack_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_mH_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_masked_fill_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_masked_logsumexp_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_matmul_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_meshgrid_list_of_tensors_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_ne_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_new_ones_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_nn_functional_pairwise_distance_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_nn_functional_rms_norm_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_nn_functional_tanhshrink_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_norm_inf_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_ormqr_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_pinverse_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_prod_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_randn_like_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_sigmoid_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_sin_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_sinh_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_squeeze_copy_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_stack_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_t_copy_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_tensor_split_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_unfold_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs__conversions_long_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs__conversions_short_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_alias_copy_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_all_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_as_strided_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_asinh_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_atan_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_atleast_3d_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_fft_hfftn_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_flipud_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_linalg_diagonal_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_linalg_norm_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_narrow_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_new_full_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_nn_functional_softmax_with_dtype_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_ravel_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_reciprocal_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_reshape_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_sigmoid_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_sinc_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_softmax_with_dtype_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_sqrt_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_squeeze_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_take_along_dim_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_tan_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_tanh_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_trace_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_view_copy_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_acos_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_addcdiv_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_addcmul_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_as_strided_scatter_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_byte_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_cfloat_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_conj_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_contiguous_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_cumsum_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_cumulative_trapezoid_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_einsum_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_fft_hfft2_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_fft_irfft_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_flatten_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_float_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_index_add_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_index_fill_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_isclose_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_jiterator_2inputs_2outputs_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_jiterator_4inputs_with_extra_args_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_kron_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_ldexp_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_linalg_eigvalsh_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_linalg_ldl_solve_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_linalg_lu_factor_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_linalg_pinv_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_linalg_pinv_hermitian_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_linspace_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_log_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_log_softmax_with_dtype_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_logical_and_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_logspace_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_mH_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_masked_std_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_masked_var_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_meshgrid_variadic_tensors_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_narrow_copy_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_nn_functional_conv2d_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_nn_functional_conv3d_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_nn_functional_feature_alpha_dropout_without_train_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_nn_functional_normalize_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_norm_inf_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_pinverse_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_put_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_randn_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_real_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_scalar_tensor_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_sparse_sampled_addmm_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_split_list_args_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_split_with_sizes_copy_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_split_with_sizes_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_std_unbiased_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_stft_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_sub_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_sum_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_to_sparse_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_view_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs__conversions_complex_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_abs_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_acos_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_any_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_atanh_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_atleast_2d_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_bucketize_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_contiguous_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_cos_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_cumprod_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_empty_like_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_exp2_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_expand_copy_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_expand_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_expm1_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_fft_ifftshift_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_fft_rfftn_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_flip_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_isfinite_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_log2_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_logical_or_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_logspace_tensor_overload_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_mean_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_minimum_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_native_layer_norm_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_new_full_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_remainder_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_sin_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_special_bessel_j0_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_sum_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_unfold_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_view_as_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_view_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_vsplit_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_xlogy_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__segment_reduce_lengths_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_acos_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_addcmul_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_argmin_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_as_strided_partial_views_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_atleast_3d_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_bfloat16_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_chunk_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_cross_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_cumulative_trapezoid_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_deg2rad_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_exp2_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_fft_irfft2_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_fft_irfft_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_half_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_hsplit_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_index_copy_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_isfinite_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_jiterator_2inputs_2outputs_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_jiterator_unary_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_linalg_ldl_factor_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_linalg_lu_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_linalg_lu_factor_ex_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_linalg_matrix_rank_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_linalg_matrix_rank_hermitian_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_linalg_norm_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_linalg_vecdot_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_linspace_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_log_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_logaddexp_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_logdet_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_logical_xor_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_logit_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_masked_std_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_mode_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_narrow_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_native_dropout_backward_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_new_full_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_batch_norm_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_batch_norm_without_cudnn_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_conv3d_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_conv_transpose1d_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_cosine_embedding_loss_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_elu_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_grid_sample_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_interpolate_nearest-exact_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_logsigmoid_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_mse_loss_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_pad_replicate_negative_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_pairwise_distance_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_prelu_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_smooth_l1_loss_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_softmin_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_triplet_margin_with_distance_loss_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_normal_number_mean_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_ones_like_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_polygamma_polygamma_n_0_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_prod_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_quantile_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_resize__cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_round_decimals_3_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_rsub_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_scatter_reduce_prod_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_sigmoid_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_signal_windows_gaussian_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_sinc_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_slice_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_special_polygamma_special_polygamma_n_0_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_special_scaled_modified_bessel_k1_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_special_zeta_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_squeeze_multiple_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_std_unbiased_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_tile_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_topk_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_unbind_copy_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_unbind_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_vsplit_cuda_float64, test/test_ops.py::TestFakeTensorCUDA::test_fake__segment_reduce_lengths_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_addmm_decomposed_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_addr_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_argwhere_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast___rand___cuda_int64, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast___rmatmul___cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_alias_copy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_argmin_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_as_strided_partial_views_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_asinh_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_bmm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_broadcast_to_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_bucketize_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_cauchy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_cholesky_solve_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_diag_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_diagflat_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_dot_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_einsum_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_exp_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_expand_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_expm1_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_fft_fftshift_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_fft_hfft2_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_fft_ifftshift_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_fft_ihfftn_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_flatten_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_floor_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_frac_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_full_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_geqrf_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_heaviside_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_hypot_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_index_add_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_index_select_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_int_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_kron_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_lcm_cuda_int64, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_le_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_linalg_eigh_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_linalg_ldl_factor_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_linalg_lu_factor_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_linalg_qr_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_log_softmax_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_lu_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_mH_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_masked_softmin_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_max_reduction_with_dim_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_median_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_minimum_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_mul_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nanmedian_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nansum_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_native_batch_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_binary_cross_entropy_with_logits_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_celu_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_channel_shuffle_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_dropout2d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_embedding_bag_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_fractional_max_pool2d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_grid_sample_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_hinge_embedding_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_interpolate_nearest-exact_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_leaky_relu_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_linear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_multilabel_soft_margin_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_pad_circular_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_pdist_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_smooth_l1_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_softmin_with_dtype_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_unfold_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_upsample_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_qr_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_resize_as__cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_signal_windows_nuttall_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_slice_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_special_entr_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_special_modified_bessel_i0_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_special_ndtri_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_special_spherical_bessel_j0_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_special_xlog1py_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_split_with_sizes_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_std_unbiased_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_unfold_copy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_uniform_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_unique_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_unsqueeze_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_var_mean_unbiased_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_vdot_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_vsplit_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_vstack_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_where_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_bitwise_right_shift_cuda_int64, test/test_ops.py::TestFakeTensorCUDA::test_fake_cat_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_cauchy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_chalf_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_column_stack_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_abs_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_alias_copy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_amax_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_atleast_2d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_block_diag_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_cartesian_prod_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_cfloat_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_clamp_max_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_column_stack_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_contiguous_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_copysign_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_cumprod_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_diag_embed_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_diagonal_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_div_no_rounding_mode_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_div_trunc_rounding_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_erf_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_erfinv_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_fft_irfft2_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_fft_irfftn_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_fliplr_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_fmax_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_gradient_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_index_reduce_amin_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_kthvalue_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_linalg_inv_ex_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_linalg_matrix_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_linalg_slogdet_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_linalg_tensorsolve_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_linalg_vector_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_lu_solve_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_mH_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_masked_prod_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_native_batch_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_binary_cross_entropy_with_logits_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_celu_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_conv2d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_cosine_embedding_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_huber_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_layer_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_max_unpool1d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_max_unpool2d_grad_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_mish_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_mse_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_multi_head_attention_forward_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_pixel_shuffle_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_prelu_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_rms_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_triplet_margin_with_distance_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_unfold_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_norm_nuc_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_scatter_reduce_amin_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_scatter_reduce_mean_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_scatter_reduce_sum_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_sinh_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_sort_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_special_i0e_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_split_with_sizes_copy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_squeeze_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_stack_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_svd_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_triu_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_unfold_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_unsafe_split_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_var_mean_unbiased_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_vdot_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_view_copy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_H_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp__segment_reduce_lengths_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp__unsafe_masked_index_put_accumulate_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_angle_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_atan2_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_bmm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_broadcast_tensors_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_clamp_min_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_conj_physical_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_cosh_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_diag_embed_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_dsplit_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_erfc_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_fft_fft2_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_fft_fftn_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_fft_ifft_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_fft_ifftn_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_fft_ihfft2_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_flip_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_hypot_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_index_add_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_index_reduce_mean_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_linalg_eigvalsh_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_linalg_inv_ex_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_linalg_pinv_singular_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_linalg_solve_ex_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_linalg_tensorinv_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_linalg_tensorsolve_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_logaddexp_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_mT_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_masked_logaddexp_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_masked_scatter_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_masked_select_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_max_reduction_with_dim_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_meshgrid_variadic_tensors_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_movedim_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_mul_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nanmean_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nansum_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_adaptive_max_pool2d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_avg_pool1d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_conv_transpose1d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_ctc_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_glu_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_instance_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_linear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_pairwise_distance_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_prelu_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_softplus_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_threshold_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_triplet_margin_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_permute_copy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_polygamma_polygamma_n_2_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_resolve_conj_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_resolve_neg_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_rsub_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_scatter_add_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_sgn_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_sinc_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_softmax_with_dtype_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_special_erfcx_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_split_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_tan_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_trace_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_unflatten_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_unfold_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_zero__cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_double_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_dstack_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_equal_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_expand_as_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_exponential_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_fft_ihfft_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_fft_ihfftn_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_fft_irfftn_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_flatten_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_fliplr_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_fmin_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_full_like_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_ge_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_geometric_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_hstack_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_isneginf_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_jiterator_binary_return_by_ref_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_linalg_cholesky_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_linalg_cholesky_ex_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_linalg_cross_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_linalg_eig_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_linalg_inv_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_linalg_lstsq_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_linalg_norm_subgradients_at_zero_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_linspace_tensor_overload_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_log10_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_log1p_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_logdet_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_lt_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_masked_logsumexp_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_max_reduction_with_dim_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_maximum_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_min_binary_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_minimum_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_mode_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nansum_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nextafter_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_adaptive_avg_pool1d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_adaptive_max_pool1d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_celu_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_ctc_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_elu_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_hardsigmoid_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_interpolate_area_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_interpolate_trilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_max_unpool1d_grad_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_max_unpool2d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_nll_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_one_hot_cuda_int64, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_pairwise_distance_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_prelu_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_silu_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_ones_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_quantile_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_rad2deg_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_ravel_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_reshape_as_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_reshape_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_round_decimals_0_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_slice_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_special_bessel_j1_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_special_chebyshev_polynomial_u_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_special_polygamma_special_polygamma_n_0_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_special_shifted_chebyshev_polynomial_t_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_special_spherical_bessel_j0_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_special_xlog1py_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_sqrt_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_tensordot_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_to_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_torch_ops_aten__safe_softmax_default_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_trace_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_var_unbiased_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_view_as_real_cuda_complex64, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops__segment_reduce_lengths_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops__unsafe_masked_index_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_angle_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_argsort_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_argwhere_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_bitwise_left_shift_cuda_int64, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_bool_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_cat_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_cdist_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_cdouble_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_copysign_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_cosh_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_diag_embed_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_digamma_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_erfc_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_fft_ihfft2_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_fft_ihfftn_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_fill_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_fmod_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_ge_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_geqrf_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_gt_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_hash_tensor_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_igammac_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_index_put_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_lerp_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_lgamma_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_linalg_norm_subgradients_at_zero_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_linalg_pinv_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_linalg_pinv_singular_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_linalg_svd_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_logaddexp2_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_logcumsumexp_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_logdet_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_logical_not_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_lu_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_masked_amax_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_masked_amin_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_masked_argmin_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_masked_softmax_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_masked_softmin_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_movedim_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_msort_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_mv_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_mvlgamma_mvlgamma_p_3_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nanquantile_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_neg_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_adaptive_max_pool2d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_avg_pool2d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_batch_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_conv3d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_cross_entropy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_ctc_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_local_response_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_max_unpool2d_grad_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_mish_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_multi_head_attention_forward_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_triplet_margin_with_distance_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_norm_nuc_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_ormqr_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_polar_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_polygamma_polygamma_n_2_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_pow_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_put_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_randint_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_randn_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_randn_like_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_reciprocal_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_repeat_interleave_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_resolve_conj_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_rot90_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_scatter_reduce_mean_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_searchsorted_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_signal_windows_nuttall_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_special_bessel_j0_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_special_hermite_polynomial_he_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_special_i0e_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_special_modified_bessel_i1_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_special_scaled_modified_bessel_k0_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_svd_lowrank_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_torch_ops_aten__flash_attention_forward_cuda_float16, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_triangular_solve_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_tril_indices_cuda_int64, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_trunc_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_unfold_copy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_var_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_var_mean_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_view_as_real_cuda_complex64, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_vsplit_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_arange_cuda_int16, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_arange_cuda_int32, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_linspace_cuda_bfloat16, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_linspace_cuda_complex64, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_linspace_cuda_int32, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_linspace_tensor_overload_cuda_int64, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_linspace_tensor_overload_cuda_int8, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_logspace_cuda_int8, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_zeros_cuda_int16, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_zeros_cuda_int32, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_zeros_cuda_int64, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_zeros_cuda_uint8, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_full_cuda_complex128, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_full_cuda_complex64, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_full_cuda_int8, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_linspace_cuda_complex64, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_linspace_tensor_overload_cuda_complex128, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_linspace_tensor_overload_cuda_int64, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_linspace_tensor_overload_cuda_int8, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_logspace_cuda_float16, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_logspace_tensor_overload_cuda_float16, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_logspace_tensor_overload_cuda_int8, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_logspace_tensor_overload_cuda_uint8, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_zeros_cuda_bool, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_zeros_cuda_int32, test/test_ops.py::TestTagsCUDA::test_tags_T_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags___ror___cuda_int64, test/test_ops.py::TestTagsCUDA::test_tags___rsub___cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs__conversions_cdouble_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs__conversions_short_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_as_strided_scatter_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_atleast_2d_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_ceil_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_chunk_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_clamp_max_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_conj_physical_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_div_floor_rounding_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_fft_irfft_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_flipud_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_heaviside_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_hsplit_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_igammac_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_istft_cuda_complex64, test/test_ops.py::TestTagsCUDA::test_tags__refs_linalg_cross_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_linalg_svdvals_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_log_normal_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_logaddexp_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_logical_not_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_movedim_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_new_zeros_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_nn_functional_selu_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_nn_functional_triplet_margin_loss_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_normal_number_mean_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_reciprocal_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_rsqrt_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_special_multigammaln_mvlgamma_p_3_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_square_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_stack_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_stft_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_transpose_copy_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_unsqueeze_copy_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_xlogy_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_zeros_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__segment_reduce_lengths_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__segment_reduce_offsets_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_amax_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_amin_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_as_strided_copy_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_atleast_1d_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_bfloat16_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_bincount_cuda_int64, test/test_ops.py::TestTagsCUDA::test_tags_bitwise_xor_cuda_int64, test/test_ops.py::TestTagsCUDA::test_tags_block_diag_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_cat_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_chunk_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_clamp_max_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_cos_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_cumulative_trapezoid_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_diff_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_dstack_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_eq_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_erfc_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_fft_ihfft2_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_fft_rfft2_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_fft_rfft_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_fill_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_float_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_fmin_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_gather_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_ge_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_grid_sampler_2d_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_i0_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_index_copy_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_index_fill_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_index_reduce_amax_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_isin_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_jiterator_4inputs_with_extra_args_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_lcm_cuda_int64, test/test_ops.py::TestTagsCUDA::test_tags_lgamma_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_linalg_matrix_rank_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_linalg_tensorinv_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_linalg_vander_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_linalg_vecdot_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_linspace_tensor_overload_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_log_softmax_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_logaddexp_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_logcumsumexp_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_mT_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_masked_amax_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_masked_mean_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_masked_normalize_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_masked_std_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_mean_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_multinomial_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nan_to_num_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_narrow_copy_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_ne_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_adaptive_avg_pool1d_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_adaptive_max_pool1d_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_adaptive_max_pool3d_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_alpha_dropout_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_avg_pool2d_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_conv_transpose2d_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_fractional_max_pool2d_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_fractional_max_pool3d_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_interpolate_area_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_interpolate_bilinear_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_interpolate_linear_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_linear_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_max_unpool1d_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_max_unpool3d_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_multi_head_attention_forward_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_nll_loss_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_normalize_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_pad_replicate_negative_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_pixel_unshuffle_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_scaled_dot_product_attention_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_norm_fro_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_norm_nuc_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_ones_like_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_polar_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_polygamma_polygamma_n_0_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_positive_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_rand_like_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_resolve_neg_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_round_decimals_neg_3_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_signal_windows_bartlett_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_signal_windows_gaussian_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_signal_windows_kaiser_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_sin_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_softmax_with_dtype_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_sparse_sampled_addmm_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_special_bessel_j0_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_special_erfcx_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_special_shifted_chebyshev_polynomial_w_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_std_mean_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_t_copy_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_tan_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_tanh_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_to_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_trunc_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_unbind_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_unsafe_chunk_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_vsplit_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_vstack_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_zero__cuda_float32
2025-08-14T23:17:20.3870117Z 
2025-08-14T23:17:20.9048479Z Uploading artifacts took 0.71 seconds
2025-08-14T23:17:23.7947566Z /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.
2025-08-14T23:17:23.7948971Z   import pkg_resources
2025-08-14T23:17:24.1383950Z Running test_ops 6/8 ... [2025-08-14 23:17:24.137981]
2025-08-14T23:17:24.1384369Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:17:24.1385996Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'not serial', '--shard-id=6', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 23:17:24.138342]
2025-08-14T23:18:00.6446353Z 
2025-08-14T23:18:00.6447303Z test_ops 4/8 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_4.8_3657a9acf75e6750_.log
2025-08-14T23:18:00.7425368Z Running 4122 items in this shard: test/test_ops.py::TestSelfKwarg::test_self_kwargs, test/test_ops.py::TestCommonCUDA::test_compare_cpu_H_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu___rmatmul___cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu___rsub___cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__native_batch_norm_legit_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs__conversions_cfloat_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs__conversions_float_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs__conversions_long_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs__conversions_polar_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_as_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_as_strided_partial_views_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_diagonal_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_flip_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_fmax_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_lerp_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_linalg_diagonal_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_logaddexp2_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_new_zeros_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_nn_functional_alpha_dropout_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_nn_functional_huber_loss_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_nn_functional_softshrink_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_nn_functional_triplet_margin_loss_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_true_divide_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_view_as_complex_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_view_as_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__unsafe_masked_index_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_as_strided_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_atleast_3d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_block_diag_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_cauchy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_complex_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_copysign_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_cross_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_dot_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_double_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_fft_ifftshift_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_grid_sampler_2d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_index_fill_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_index_reduce_mean_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_index_reduce_prod_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_isin_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_linalg_inv_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_linalg_inv_ex_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_linalg_ldl_factor_ex_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_linalg_lu_solve_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_linspace_tensor_overload_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_masked_normalize_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_median_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_narrow_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_ctc_loss_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_max_unpool1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_max_unpool3d_grad_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_soft_margin_loss_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_softmin_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_upsample_bilinear_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nonzero_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_norm_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_norm_nuc_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_ones_like_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_pca_lowrank_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_repeat_interleave_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_resize_as__cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_resolve_neg_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_scatter_add_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_scatter_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_special_shifted_chebyshev_polynomial_t_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_special_shifted_chebyshev_polynomial_w_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_split_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_split_with_sizes_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_take_cuda_float32, 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test/test_ops.py::TestCommonCUDA::test_dtypes__refs_fft_ihfft2_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_fft_irfftn_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_imag_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_isclose_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_lcm_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_logical_and_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_logspace_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_meshgrid_list_of_tensors_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_narrow_copy_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_new_zeros_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_nn_functional_log_softmax_with_dtype_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_nn_functional_margin_ranking_loss_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_nn_functional_mse_loss_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_nn_functional_pdist_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_nn_functional_relu6_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_nn_functional_tanhshrink_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_nn_functional_threshold_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_norm_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_positive_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_prod_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_real_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_rsub_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_tril_indices_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_unbind_copy_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_var_mean_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_view_as_complex_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_vsplit_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__segment_reduce_offsets_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__unsafe_masked_index_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_abs_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_amin_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_angle_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_argwhere_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_baddbmm_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_bincount_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_bitwise_not_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_bitwise_xor_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_cdouble_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_cholesky_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_clamp_max_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_column_stack_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_contiguous_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_corrcoef_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_cumsum_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_diagflat_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_dist_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_div_trunc_rounding_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_double_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_erfc_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_erfinv_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_exp2_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_exp_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_eye_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_fft_hfft2_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_fft_ifft2_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_fft_ihfft_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_fft_irfft_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_flip_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_ge_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_heaviside_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_igamma_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_index_fill_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_index_reduce_amin_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_item_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_linalg_eigh_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_linalg_ldl_factor_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_linalg_ldl_solve_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_linalg_norm_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_linalg_pinv_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_linalg_pinv_hermitian_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_linalg_pinv_singular_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_linspace_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_log10_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_log2_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_log_normal_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_logical_or_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_logspace_tensor_overload_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_lu_unpack_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_masked_amax_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_masked_normalize_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_median_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_meshgrid_list_of_tensors_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_mul_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_mv_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nan_to_num_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_narrow_copy_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_ne_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_neg_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_new_empty_strided_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_celu_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_conv_transpose1d_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_embedding_bag_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_hardshrink_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_layer_norm_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_max_unpool3d_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_multi_margin_loss_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_normalize_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_one_hot_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_pixel_shuffle_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_pixel_unshuffle_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_rms_norm_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_scaled_dot_product_attention_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nonzero_static_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_norm_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_normal_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_normal_in_place_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_polygamma_polygamma_n_2_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_positive_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_pow_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_randint_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_reshape_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_resize_as__cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_round_decimals_0_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_rsqrt_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_select_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_signal_windows_blackman_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_signal_windows_cosine_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_signal_windows_exponential_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_signal_windows_gaussian_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_softmax_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_special_bessel_y0_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_special_chebyshev_polynomial_t_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_special_chebyshev_polynomial_v_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_special_hermite_polynomial_he_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_special_spherical_bessel_j0_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_split_with_sizes_copy_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_std_mean_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_std_unbiased_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_svd_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_torch_ops_aten__safe_softmax_default_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_trapezoid_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_unbind_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_var_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_var_unbiased_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_view_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_zeros_cuda, test/test_ops.py::TestCommonCUDA::test_errors_cat_cuda, test/test_ops.py::TestCommonCUDA::test_errors_diff_cuda, test/test_ops.py::TestCommonCUDA::test_errors_div_floor_rounding_cuda, test/test_ops.py::TestCommonCUDA::test_errors_div_trunc_rounding_cuda, test/test_ops.py::TestCommonCUDA::test_errors_dsplit_cuda, test/test_ops.py::TestCommonCUDA::test_errors_fft_fftn_cuda, test/test_ops.py::TestCommonCUDA::test_errors_fft_hfft2_cuda, test/test_ops.py::TestCommonCUDA::test_errors_fft_ifft_cuda, test/test_ops.py::TestCommonCUDA::test_errors_gt_cuda, test/test_ops.py::TestCommonCUDA::test_errors_jiterator_binary_return_by_ref_cuda, test/test_ops.py::TestCommonCUDA::test_errors_linalg_lstsq_grad_oriented_cuda, test/test_ops.py::TestCommonCUDA::test_errors_log_normal_cuda, test/test_ops.py::TestCommonCUDA::test_errors_logaddexp_cuda, test/test_ops.py::TestCommonCUDA::test_errors_nn_functional_adaptive_max_pool2d_cuda, test/test_ops.py::TestCommonCUDA::test_errors_nn_functional_avg_pool3d_cuda, test/test_ops.py::TestCommonCUDA::test_errors_nn_functional_conv1d_cuda, test/test_ops.py::TestCommonCUDA::test_errors_nn_functional_max_pool3d_cuda, test/test_ops.py::TestCommonCUDA::test_errors_normal_in_place_cuda, test/test_ops.py::TestCommonCUDA::test_errors_polar_cuda, test/test_ops.py::TestCommonCUDA::test_errors_signal_windows_blackman_cuda, test/test_ops.py::TestCommonCUDA::test_errors_sparse_randn_like_layout2_cuda, test/test_ops.py::TestCommonCUDA::test_errors_sparse_sum_layout3_cuda, test/test_ops.py::TestCommonCUDA::test_errors_sparse_sum_layout4_cuda, test/test_ops.py::TestCommonCUDA::test_errors_sparse_zeros_like_layout3_cuda, test/test_ops.py::TestCommonCUDA::test_errors_special_shifted_chebyshev_polynomial_u_cuda, test/test_ops.py::TestCommonCUDA::test_errors_triu_cuda, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch__chunk_cat_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_acosh_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_amin_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_asin_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_cosh_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_cummax_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_deg2rad_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_div_no_rounding_mode_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_dstack_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_exp_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_fft_fft2_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_fft_ifftn_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_fft_ihfft_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_floor_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_fmin_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_hstack_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_index_add_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_index_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_index_select_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_linalg_eig_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_linalg_slogdet_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_linalg_svd_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_log1p_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_log2_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_logical_not_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_logspace_tensor_overload_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_max_reduction_no_dim_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_maximum_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_nn_functional_avg_pool2d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_nn_functional_softplus_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_nn_functional_softshrink_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_norm_inf_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_polygamma_polygamma_n_4_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_pow_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_reciprocal_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_sign_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_sort_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_special_entr_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_special_i1e_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_special_modified_bessel_k1_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_stack_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_true_divide_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_trunc_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_zeros_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices___rsub___cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices__upsample_bilinear2d_aa_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_add_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_addmv_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_as_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_as_strided_scatter_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_asin_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_asinh_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_asinh_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_atan_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_bincount_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_bitwise_left_shift_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_broadcast_shapes_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_cat_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_cat_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_cholesky_solve_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_chunk_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_clamp_max_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_column_stack_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_combinations_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_contiguous_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_contiguous_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_copysign_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_cov_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_cumsum_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_cumulative_trapezoid_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_diagflat_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_dist_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_div_floor_rounding_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_dstack_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_exponential_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_fill_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_flip_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_flip_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_fliplr_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_fliplr_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_float_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_floor_divide_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_fmin_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_gather_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_geometric_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_hsplit_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_igammac_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_index_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_index_put_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_index_reduce_prod_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_index_select_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_item_cuda_int64, 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test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_cosine_embedding_loss_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_feature_alpha_dropout_without_train_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_gaussian_nll_loss_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_hardsigmoid_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_hardtanh_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_hardtanh_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_huber_loss_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_interpolate_bicubic_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_max_unpool3d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_one_hot_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_pad_constant_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_relu_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_softshrink_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_triplet_margin_loss_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_norm_nuc_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_permute_copy_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_rad2deg_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_randint_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_repeat_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_select_scatter_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_signal_windows_blackman_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_sinh_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_sinh_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_bessel_j1_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_chebyshev_polynomial_w_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_hermite_polynomial_h_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_i0e_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_modified_bessel_i1_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_modified_bessel_k0_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_modified_bessel_k1_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_polygamma_special_polygamma_n_0_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_scaled_modified_bessel_k1_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_scaled_modified_bessel_k1_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_shifted_chebyshev_polynomial_u_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_split_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_sqrt_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_squeeze_copy_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_std_mean_unbiased_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_sub_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_t_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_t_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_tan_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_tensor_split_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_tile_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_topk_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_tril_indices_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_triu_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_var_mean_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_vdot_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_view_as_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_view_copy_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_view_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_vstack_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_vstack_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_where_cuda_int64, 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test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_cat_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_chunk_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_conj_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_cummax_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_diag_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_erfc_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_expand_copy_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_fft_ihfft_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_fill_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_fmax_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_hash_tensor_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_index_copy_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_jiterator_4inputs_with_extra_args_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_log10_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_logical_not_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_logical_xor_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_mul_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_new_full_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_nn_functional_channel_shuffle_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_nn_functional_pad_circular_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_polygamma_polygamma_n_3_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_reciprocal_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_scatter_reduce_sum_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_special_chebyshev_polynomial_u_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_special_modified_bessel_k0_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_special_scaled_modified_bessel_k1_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_special_shifted_chebyshev_polynomial_t_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_split_list_args_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_split_with_sizes_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_t_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_to_sparse_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_transpose_cuda_bool, 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test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_angle_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_argwhere_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_atan2_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_atanh_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_atanh_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_atleast_1d_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_baddbmm_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_broadcast_shapes_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_broadcast_to_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_bucketize_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cat_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cfloat_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_char_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_clamp_min_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_column_stack_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_complex_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_conj_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_conj_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_constant_pad_nd_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_copysign_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_count_nonzero_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cov_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cross_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cummin_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cumsum_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_diag_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_diagflat_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_diagonal_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_diff_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_digamma_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_div_no_rounding_mode_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_double_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_dsplit_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_empty_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_erf_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_erfc_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_erfc_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_exp2_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_expand_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_fft_hfft2_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_fft_hfftn_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_fft_ifft_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_fft_ifftn_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_fft_ifftshift_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_fft_ihfft_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_fft_irfftn_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_flip_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_fliplr_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_float_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_fmax_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_fmin_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_fmod_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_full_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_gather_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_geometric_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_geometric_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_geqrf_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_hash_tensor_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_igamma_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_index_put_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_index_reduce_mean_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_isfinite_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_item_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_le_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_linalg_cond_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_linalg_cross_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_linalg_eig_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_linalg_ldl_factor_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_linalg_ldl_factor_ex_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_linalg_pinv_hermitian_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_linalg_slogdet_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_linalg_solve_triangular_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_linalg_tensorinv_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_linalg_vecdot_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_log10_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_log_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_log_normal_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_logical_and_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_logical_not_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_logspace_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_logspace_tensor_overload_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_mH_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_masked_amin_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_masked_cumprod_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_masked_prod_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_masked_var_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_max_reduction_no_dim_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_mv_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_mvlgamma_mvlgamma_p_3_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nansum_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_ne_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_new_empty_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nextafter_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_channel_shuffle_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_conv3d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_cosine_embedding_loss_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_interpolate_bilinear_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_l1_loss_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_l1_loss_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_margin_ranking_loss_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_mse_loss_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_normalize_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_pad_reflect_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_pad_reflect_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_pad_replicate_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_pixel_unshuffle_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_rms_norm_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_threshold_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_upsample_nearest_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nonzero_static_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_normal_number_mean_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_pinverse_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_polygamma_polygamma_n_2_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_pow_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_prod_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_prod_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_qr_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_rand_like_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_reciprocal_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_renorm_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_resize__cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_resize_as__cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_rsub_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_scatter_reduce_amin_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_scatter_reduce_sum_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_sigmoid_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_sin_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_sinh_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_sparse_sampled_addmm_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_special_bessel_j1_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_special_chebyshev_polynomial_w_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_special_legendre_polynomial_p_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_special_modified_bessel_i0_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_special_modified_bessel_i0_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_special_polygamma_special_polygamma_n_0_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_special_shifted_chebyshev_polynomial_v_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_special_zeta_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_squeeze_copy_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_squeeze_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_squeeze_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_squeeze_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_sum_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_take_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_tan_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_to_sparse_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_tril_indices_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_unbind_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_unbind_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_unique_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_unsqueeze_copy_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_unsqueeze_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_view_copy_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_view_copy_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_view_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_zeros_cuda_int64, test/test_ops.py::TestCommonCUDA::test_numpy_ref_argwhere_cuda_complex128, 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test/test_ops.py::TestCommonCUDA::test_out__refs_fft_fft_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out__refs_fft_ihfft_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out__refs_fft_rfft2_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out__refs_ge_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out__refs_igammac_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out__refs_index_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out__refs_isclose_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out__refs_lerp_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out__refs_logaddexp_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out__refs_logical_and_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out__refs_logical_or_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out__refs_logspace_tensor_overload_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out__refs_logsumexp_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out__refs_masked_fill_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out__refs_maximum_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out__refs_movedim_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out__refs_nn_functional_margin_ranking_loss_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out__refs_nn_functional_nll_loss_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out__refs_nn_functional_softshrink_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out__refs_reciprocal_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out__refs_renorm_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out__refs_round_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out__refs_special_i1_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out__refs_special_log_ndtr_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out__refs_special_softmax_with_dtype_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out__refs_sqrt_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out__refs_vdot_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out__refs_view_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out__segment_reduce_lengths_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_acos_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_all_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_aminmax_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_argmax_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_asin_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_bitwise_left_shift_cuda_int64, test/test_ops.py::TestCommonCUDA::test_out_cov_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_cummax_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_cumprod_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_cumulative_trapezoid_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_diagonal_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_digamma_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_erfinv_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_expand_as_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_exponential_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_fft_fftshift_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_frac_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_full_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_full_like_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_ge_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_hsplit_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_igamma_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_imag_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_out_index_reduce_amin_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_inner_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_linalg_cond_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_linalg_eigh_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_linalg_inv_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_linalg_ldl_factor_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_linalg_lstsq_grad_oriented_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_linalg_solve_triangular_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_linalg_tensorsolve_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_log1p_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_lu_solve_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_masked_var_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_matrix_exp_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_mean_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_mm_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_nanquantile_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_new_ones_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_nn_functional_adaptive_max_pool3d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_nn_functional_avg_pool3d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_nn_functional_conv_transpose3d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_nn_functional_interpolate_trilinear_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_nn_functional_max_pool2d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_nn_functional_max_unpool1d_grad_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_nn_functional_max_unpool2d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_nn_functional_max_unpool2d_grad_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_nn_functional_nll_loss_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_nn_functional_normalize_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_nn_functional_pad_constant_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_nn_functional_pad_replicate_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_nn_functional_poisson_nll_loss_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_nn_functional_scaled_dot_product_attention_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_ones_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_ormqr_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_prod_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_ravel_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_acosh_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_add_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_addmm_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_addmm_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_alias_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_asinh_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_baddbmm_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_baddbmm_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_cumprod_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_cumsum_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_digamma_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_div_floor_rounding_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_fft_ifft2_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_fft_ifft_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_fmod_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_frac_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_hstack_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_hypot_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_index_select_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_kthvalue_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_linalg_cross_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_linalg_det_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_linalg_eigh_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_linalg_inv_ex_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_linalg_matrix_power_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_linalg_multi_dot_cuda_complex64, 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test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_fft_irfft2_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_hstack_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_igamma_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_index_fill_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_inner_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_isneginf_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_isreal_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_kron_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_ldexp_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_le_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_linalg_diagonal_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_linalg_eigvals_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_linalg_inv_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_linalg_lu_factor_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_linalg_qr_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_linalg_slogdet_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_linalg_tensorinv_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_linalg_vector_norm_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_logaddexp_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_logspace_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_lt_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_matrix_exp_cuda_float32, 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test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_nn_functional_softplus_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_nn_functional_softshrink_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_nn_functional_tanhshrink_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_nn_functional_upsample_bilinear_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_norm_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_normal_number_mean_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_ones_like_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_outer_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_polygamma_polygamma_n_4_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_put_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_rand_like_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_round_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_searchsorted_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_select_scatter_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_sgn_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_signal_windows_cosine_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_softmax_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_sparse_mm_reduce_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_special_bessel_j1_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_special_chebyshev_polynomial_t_cuda_float32, 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test/test_ops.py::TestCompositeComplianceCUDA::test_operator_flipud_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_ge_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_geometric_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_gradient_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_heaviside_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_hstack_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_igammac_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_index_add_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_index_fill_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_isreal_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_kron_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_lerp_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_lgamma_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_linalg_diagonal_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_linalg_ldl_factor_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_linalg_lu_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_linalg_solve_triangular_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_linspace_tensor_overload_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_log_softmax_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_logical_not_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_masked_fill_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_masked_logaddexp_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_masked_softmax_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_meshgrid_list_of_tensors_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_meshgrid_variadic_tensors_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_minimum_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nanmean_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_new_empty_strided_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_avg_pool1d_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_avg_pool2d_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_batch_norm_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_binary_cross_entropy_with_logits_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_fractional_max_pool3d_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_gelu_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_hardsigmoid_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_interpolate_linear_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_interpolate_nearest-exact_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_linear_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_logsigmoid_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_margin_ranking_loss_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_max_unpool1d_grad_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_pad_constant_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_pairwise_distance_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_rms_norm_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_smooth_l1_loss_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_soft_margin_loss_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_tanhshrink_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_norm_nuc_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_pca_lowrank_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_permute_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_polygamma_polygamma_n_2_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_polygamma_polygamma_n_4_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_qr_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_rad2deg_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_randint_like_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_real_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_reciprocal_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_reshape_as_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_resolve_conj_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_scatter_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_select_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_select_scatter_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_signal_windows_nuttall_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_sin_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_slice_scatter_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_special_bessel_y0_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_special_entr_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_special_log_ndtr_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_special_polygamma_special_polygamma_n_0_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_special_scaled_modified_bessel_k0_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_special_zeta_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_split_with_sizes_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_std_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_sum_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_tanh_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_tile_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_to_sparse_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_torch_ops_aten__safe_softmax_default_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_var_unbiased_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay__batch_norm_with_update_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay__segment_reduce_lengths_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay__unsafe_masked_index_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_amax_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_angle_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_as_strided_partial_views_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_atan_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_atleast_2d_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_bernoulli_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_chunk_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_clamp_min_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_conj_physical_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_cos_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_double_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_empty_permuted_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_empty_strided_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_fft_ifftn_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_fft_ihfft_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_fft_irfft2_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_fft_rfft_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_floor_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_fmod_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_ge_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_geqrf_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_index_add_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_index_fill_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_jiterator_2inputs_2outputs_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_jiterator_unary_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_le_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_lerp_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_linalg_ldl_factor_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_linalg_matrix_power_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_linalg_matrix_rank_hermitian_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_linalg_pinv_hermitian_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_log1p_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_log2_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_logical_not_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_masked_argmin_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_masked_normalize_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_masked_softmin_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_max_pool2d_with_indices_backward_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_max_reduction_no_dim_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_maximum_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_meshgrid_variadic_tensors_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_min_reduction_with_dim_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_mv_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_mvlgamma_mvlgamma_p_1_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_embedding_bag_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_gelu_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_group_norm_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_hinge_embedding_loss_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_interpolate_nearest_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_max_pool2d_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_mish_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_multi_head_attention_forward_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_multi_margin_loss_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_multilabel_margin_loss_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_nll_loss_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_pad_replicate_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_pairwise_distance_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_relu_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_triplet_margin_with_distance_loss_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_outer_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_polygamma_polygamma_n_2_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_reshape_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_resize_as__cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_scatter_reduce_amin_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_scatter_reduce_prod_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_special_shifted_chebyshev_polynomial_v_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_special_spherical_bessel_j0_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_special_xlog1py_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_std_mean_unbiased_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_transpose_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_unsafe_split_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_xlogy_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_zeros_cuda_float32, test/test_ops.py::TestMathBitsCUDA::test_conj_view_T_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view___rpow___cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs__conversions_byte_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_addcmul_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_cat_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_cumprod_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_empty_like_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_exp2_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_exp_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_expand_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_expm1_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_fft_hfftn_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_fft_ifftshift_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_flatten_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_fliplr_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_isclose_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_linspace_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_logsumexp_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_mean_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_meshgrid_list_of_tensors_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_new_full_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_new_ones_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_nn_functional_pixel_unshuffle_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_rsub_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_special_softmax_with_dtype_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_sqrt_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_std_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_sum_to_size_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_triu_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_unflatten_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_vstack_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_where_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_acosh_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_addcmul_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_addmm_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_as_strided_copy_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_as_strided_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_as_strided_partial_views_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_as_strided_scatter_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_baddbmm_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_block_diag_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_broadcast_to_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_cdouble_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_cholesky_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_cholesky_inverse_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_combinations_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_cos_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_cumprod_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_diag_embed_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_diagonal_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_empty_permuted_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_fft_fft_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_fft_ifftshift_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_fill_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_float_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_hstack_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_isclose_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_item_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_linalg_det_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_linalg_lu_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_linalg_lu_factor_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_linalg_matrix_rank_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_linalg_pinv_singular_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_linalg_vector_norm_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_lu_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_masked_sum_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_movedim_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_nn_functional_conv3d_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_nn_functional_conv_transpose2d_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_nn_functional_l1_loss_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_norm_nuc_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_normal_in_place_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_outer_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_qr_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_real_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_resize__cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_resolve_neg_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_rot90_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_scalar_tensor_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_select_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_softmax_with_dtype_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_square_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_std_unbiased_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_svd_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_t_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_unbind_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_unsafe_split_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_vsplit_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view___rdiv___cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view___rmatmul___cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs__conversions_int_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_addcmul_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_as_strided_copy_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_atanh_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_diagonal_copy_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_div_no_rounding_mode_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_fft_fftshift_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_fft_hfft_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_hsplit_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_index_copy_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_istft_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_item_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_linalg_vecdot_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_masked_fill_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_meshgrid_list_of_tensors_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_movedim_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_mul_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_nn_functional_l1_loss_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_nn_functional_log_softmax_with_dtype_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_normal__in_place_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_rsqrt_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_square_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_squeeze_multiple_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_std_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_sum_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_t_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_transpose_copy_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_triu_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_vdot_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_where_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_addbmm_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_addmm_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_addmv_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_any_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_atan_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_block_diag_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_cholesky_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_combinations_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_cos_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_diagonal_copy_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_eq_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_exp_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_expand_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_eye_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_fft_fft2_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_fft_fft_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_fft_fftn_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_fft_hfft_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_fill_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_hstack_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_index_copy_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_linalg_lu_factor_ex_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_linalg_solve_triangular_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_linalg_svdvals_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_linalg_vecdot_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_linalg_vector_norm_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_log2_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_lu_unpack_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_mv_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_nansum_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_narrow_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_nn_functional_pad_reflect_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_nn_functional_silu_complex_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_nn_functional_softmin_with_dtype_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_qr_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_rsqrt_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_sqrt_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_square_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_std_mean_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_take_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_tanh_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_tensordot_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_tile_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_transpose_copy_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_tril_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_uniform_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_view___rdiv___cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view___rmul___cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_T_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs__conversions_polar_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_atan_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_clamp_max_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_column_stack_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_equal_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_erf_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_fft_fft_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_fft_hfft2_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_fft_ifft_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_fft_ihfft_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_fmin_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_fmod_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_frac_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_linalg_diagonal_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_linspace_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_log1p_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_log_normal_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_logical_not_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_logspace_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_lt_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_maximum_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_nan_to_num_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_nextafter_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_nn_functional_celu_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_nn_functional_channel_shuffle_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_nn_functional_leaky_relu_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_nn_functional_margin_ranking_loss_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_nn_functional_softmax_with_dtype_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_nn_functional_threshold_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_norm_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_roll_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_rsqrt_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_special_ndtr_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_square_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_std_mean_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_unbind_copy_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__segment_reduce_offsets_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__upsample_bilinear2d_aa_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_addcdiv_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_any_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_bernoulli_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_bmm_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_bool_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_cdouble_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_cfloat_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_cholesky_inverse_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_contiguous_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_diagflat_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_diff_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_dot_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_erfc_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_erfinv_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_expand_as_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_fft_fftn_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_fill_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_fmod_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_full_like_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_igammac_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_index_select_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_int_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_linalg_cross_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_linalg_eigh_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_linalg_qr_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_logsumexp_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_lt_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_lu_unpack_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_masked_amin_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_masked_log_softmax_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_masked_mean_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_masked_median_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_msort_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_mv_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_narrow_copy_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_new_empty_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_adaptive_avg_pool3d_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_adaptive_max_pool2d_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_celu_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_conv2d_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_dropout2d_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_dropout3d_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_feature_alpha_dropout_with_train_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_gaussian_nll_loss_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_hardtanh_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_hinge_embedding_loss_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_interpolate_bicubic_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_interpolate_linear_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_max_unpool2d_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_max_unpool3d_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_max_unpool3d_grad_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_multilabel_margin_loss_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_nll_loss_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_softsign_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_unfold_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_normal_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_repeat_interleave_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_rot90_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_scatter_reduce_amin_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_searchsorted_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_softmax_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_sort_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_special_airy_ai_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_special_chebyshev_polynomial_w_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_special_entr_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_special_hermite_polynomial_h_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_special_i1_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_special_shifted_chebyshev_polynomial_t_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_special_spherical_bessel_j0_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_split_with_sizes_copy_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_sqrt_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_square_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_t_copy_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_tanh_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_to_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_to_sparse_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_transpose_copy_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_triangular_solve_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_triu_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_trunc_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_unique_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_var_unbiased_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_vdot_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_xlogy_cuda_float64, test/test_ops.py::TestFakeTensorCUDA::test_fake_any_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_arange_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_T_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast___radd___cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast__segment_reduce_lengths_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast__unsafe_masked_index_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_acosh_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_addbmm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_argmax_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_as_strided_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_as_strided_scatter_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_bernoulli_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_cdouble_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_chunk_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_cos_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_cummax_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_cumsum_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_deg2rad_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_digamma_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_div_trunc_rounding_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_empty_permuted_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_fft_ifft_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_fmod_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_full_like_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_gather_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_histc_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_igamma_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_imag_cuda_complex64, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_isclose_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_istft_cuda_complex64, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_jiterator_binary_return_by_ref_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_linalg_lstsq_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_linalg_lu_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_linalg_matrix_rank_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_linalg_pinv_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_linalg_solve_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_linalg_vector_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_max_pool2d_with_indices_backward_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_meshgrid_variadic_tensors_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_new_zeros_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nextafter_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_adaptive_avg_pool3d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_conv2d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_conv_transpose2d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_cosine_similarity_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_feature_alpha_dropout_with_train_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_fractional_max_pool3d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_hardshrink_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_interpolate_linear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_pixel_shuffle_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_prelu_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_ones_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_outer_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_prod_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_rand_like_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_round_decimals_0_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_round_decimals_neg_3_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_split_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_std_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_std_mean_unbiased_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_svd_lowrank_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_t_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_take_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_tensor_split_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_trace_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_tril_indices_cuda_int64, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_true_divide_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_trunc_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_view_as_complex_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_xlogy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_bernoulli_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_bitwise_xor_cuda_int64, test/test_ops.py::TestFakeTensorCUDA::test_fake_combinations_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_corrcoef_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp___radd___cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp___rmatmul___cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp___rsub___cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp__unsafe_masked_index_put_accumulate_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_acos_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_addcdiv_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_as_strided_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_atleast_1d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_bmm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_clamp_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_cumulative_trapezoid_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_dsplit_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_erfc_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_fft_fft2_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_fft_ihfft2_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_fft_ihfftn_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_fft_irfft_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_floor_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_frac_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_i0_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_index_reduce_prod_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_linalg_norm_subgradients_at_zero_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_linalg_pinv_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_logaddexp2_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_logit_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_masked_select_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_matrix_exp_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_max_reduction_with_dim_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_meshgrid_variadic_tensors_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_mode_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_mv_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nansum_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_native_layer_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_neg_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_adaptive_avg_pool1d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_adaptive_avg_pool3d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_ctc_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_embedding_bag_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_local_response_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_margin_ranking_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_max_unpool3d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_nll_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_normalize_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_pairwise_distance_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_pixel_unshuffle_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_poisson_nll_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_relu6_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_scaled_dot_product_attention_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_smooth_l1_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_soft_margin_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_normal_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_ormqr_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_polygamma_polygamma_n_2_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_pow_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_reshape_as_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_slice_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_special_i1e_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_split_with_sizes_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_triangular_solve_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp__batch_norm_with_update_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp__native_batch_norm_legit_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_addbmm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_as_strided_copy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_as_strided_partial_views_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_atanh_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_broadcast_to_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_cat_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_cholesky_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_cholesky_solve_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_clone_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_corrcoef_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_cumulative_trapezoid_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_diag_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_diff_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_erfinv_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_expand_copy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_fft_hfft_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_fft_ihfft_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_flatten_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_fliplr_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_frexp_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_i0_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_index_fill_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_index_select_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_inner_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_linalg_cross_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_linalg_diagonal_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_linalg_lstsq_grad_oriented_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_linalg_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_linalg_pinv_hermitian_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_linalg_qr_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_log_softmax_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_log_softmax_with_dtype_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_masked_fill_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_masked_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_masked_var_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_max_reduction_no_dim_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_native_layer_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_avg_pool3d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_channel_shuffle_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_cross_entropy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_fractional_max_pool3d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_hinge_embedding_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_kl_div_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_leaky_relu_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_max_pool1d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_max_pool3d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_max_unpool2d_grad_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_multilabel_margin_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_multilabel_soft_margin_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_nll_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_scaled_dot_product_attention_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_silu_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_softsign_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_rot90_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_round_decimals_neg_3_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_sort_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_special_entr_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_special_log_ndtr_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_square_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_squeeze_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_take_along_dim_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_tensordot_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_tile_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_var_mean_unbiased_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_where_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_xlogy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_diag_embed_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_diagonal_copy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_einsum_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_empty_like_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_empty_strided_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_fft_hfftn_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_float_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_full_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_gather_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_imag_cuda_complex64, test/test_ops.py::TestFakeTensorCUDA::test_fake_int_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_jiterator_2inputs_2outputs_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_kron_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_lgamma_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_linalg_det_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_linalg_eigh_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_linalg_eigvals_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_linalg_ldl_factor_ex_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_linalg_solve_ex_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_linalg_svd_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_linalg_vander_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_linalg_vector_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_log_softmax_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_log_softmax_with_dtype_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_logcumsumexp_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_logical_xor_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_masked_logaddexp_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_masked_mean_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_masked_median_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_masked_scatter_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_masked_select_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_masked_softmax_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_masked_softmin_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_max_reduction_no_dim_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_mean_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_meshgrid_list_of_tensors_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_mul_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_mvlgamma_mvlgamma_p_5_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nan_to_num_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_native_layer_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_neg_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_new_ones_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_adaptive_avg_pool2d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_batch_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_embedding_bag_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_kl_div_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_layer_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_local_response_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_logsigmoid_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_margin_ranking_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_pad_replicate_negative_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_upsample_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_ones_like_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_ormqr_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_permute_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_polar_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_polygamma_polygamma_n_1_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_put_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_reciprocal_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_resize__cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_resolve_conj_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_round_decimals_3_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_scatter_reduce_amin_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_sparse_mm_reduce_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_special_bessel_y1_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_special_chebyshev_polynomial_w_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_special_i0e_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_special_i1_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_special_legendre_polynomial_p_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_special_modified_bessel_i0_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_special_shifted_chebyshev_polynomial_u_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_special_shifted_chebyshev_polynomial_v_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_std_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_sub_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_svd_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_svd_lowrank_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_t_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_true_divide_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_unbind_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_unravel_index_cuda_int64, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops___getitem___cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_addcdiv_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_amax_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_arange_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_argmax_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_as_strided_scatter_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_atan2_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_atleast_2d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_broadcast_tensors_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_cos_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_deg2rad_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_div_trunc_rounding_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_dsplit_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_expand_copy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_expm1_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_fft_hfft_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_fft_ifft2_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_fft_irfft2_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_fliplr_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_gcd_cuda_int64, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_geometric_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_hypot_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_index_fill_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_index_reduce_amin_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_isreal_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_istft_cuda_complex64, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_jiterator_binary_return_by_ref_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_ldexp_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_le_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_linalg_matrix_power_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_linspace_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_log1p_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_log_softmax_with_dtype_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_logaddexp_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_lu_solve_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_lu_unpack_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_mT_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_masked_fill_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_masked_log_softmax_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_masked_normalize_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_masked_select_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_matmul_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_maximum_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_meshgrid_variadic_tensors_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_min_reduction_no_dim_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nan_to_num_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_adaptive_avg_pool2d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_adaptive_avg_pool3d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_batch_norm_without_cudnn_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_conv_transpose1d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_glu_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_instance_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_interpolate_area_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_normalize_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_pad_replicate_negative_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_pixel_shuffle_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_silu_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_softplus_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_normal_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_rand_like_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_renorm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_round_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_scatter_reduce_amin_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_sigmoid_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_sign_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_signal_windows_blackman_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_signal_windows_general_hamming_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_signal_windows_kaiser_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_special_bessel_j1_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_special_chebyshev_polynomial_u_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_special_i1e_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_special_laguerre_polynomial_l_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_special_modified_bessel_k0_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_special_modified_bessel_k1_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_special_shifted_chebyshev_polynomial_t_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_std_mean_unbiased_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_sum_to_size_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_tile_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_trapz_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_tril_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_triu_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_unsqueeze_copy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_arange_cuda_int8, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_linspace_tensor_overload_cuda_float64, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_linspace_tensor_overload_cuda_int32, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_logspace_cuda_float64, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_logspace_tensor_overload_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_ones_cuda_complex128, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_ones_cuda_float64, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_arange_cuda_int32, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_full_cuda_int16, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_logspace_tensor_overload_cuda_bfloat16, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_logspace_tensor_overload_cuda_complex128, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_logspace_tensor_overload_cuda_float64, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_logspace_tensor_overload_cuda_int64, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_ones_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_ones_cuda_int16, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_ones_cuda_int32, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_ones_cuda_int8, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_zeros_cuda_bfloat16, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_zeros_cuda_int8, test/test_ops.py::TestTagsCUDA::test_tags___rdiv___cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_T_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs__conversions_chalf_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_abs_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_acosh_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_as_strided_copy_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_asin_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_atan2_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_bitwise_xor_cuda_int64, test/test_ops.py::TestTagsCUDA::test_tags__refs_broadcast_shapes_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_cauchy_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_clamp_min_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_deg2rad_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_diagonal_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_erfc_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_expand_copy_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_expand_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_fft_fftshift_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_fft_hfft2_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_fft_rfft2_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_fmin_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_gcd_cuda_int64, test/test_ops.py::TestTagsCUDA::test_tags__refs_ge_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_index_select_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_isfinite_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_isposinf_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_item_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_le_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_linspace_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_log1p_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_logical_xor_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_logspace_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_logspace_tensor_overload_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_minimum_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_narrow_copy_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_ne_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_nn_functional_elu_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_nn_functional_gelu_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_nn_functional_hardtanh_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_nn_functional_softplus_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_norm_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_normal__in_place_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_normal_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_permute_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_randn_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_renorm_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_sin_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_special_i1_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_special_zeta_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_tril_indices_cuda_int64, test/test_ops.py::TestTagsCUDA::test_tags__refs_view_as_complex_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_vstack_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_alias_copy_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_atleast_2d_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_bitwise_or_cuda_int64, test/test_ops.py::TestTagsCUDA::test_tags_bmm_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_broadcast_shapes_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_complex_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_deg2rad_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_expand_copy_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_fft_ifftn_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_flipud_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_float_power_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_floor_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_geqrf_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_hypot_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_index_reduce_amin_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_isinf_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_lerp_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_linalg_eig_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_linalg_pinv_hermitian_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_linalg_slogdet_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_linalg_svdvals_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_linalg_tensorsolve_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_logical_or_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_long_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_lt_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_masked_cumprod_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_masked_cumsum_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_masked_softmin_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_masked_sum_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_masked_var_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_meshgrid_variadic_tensors_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_min_reduction_no_dim_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_min_reduction_with_dim_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_narrow_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_new_empty_strided_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_new_zeros_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_batch_norm_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_glu_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_interpolate_nearest-exact_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_pairwise_distance_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_poisson_nll_loss_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_relu6_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_ormqr_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_permute_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_polygamma_polygamma_n_1_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_polygamma_polygamma_n_2_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_renorm_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_repeat_interleave_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_reshape_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_resize_as__cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_roll_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_round_decimals_0_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_signal_windows_general_hamming_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_signbit_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_sparse_mm_reduce_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_special_airy_ai_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_special_hermite_polynomial_he_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_special_ndtr_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_special_shifted_chebyshev_polynomial_u_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_split_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_split_with_sizes_copy_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_split_with_sizes_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_squeeze_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_tensordot_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_tile_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_to_sparse_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_topk_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_transpose_copy_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_transpose_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_tril_indices_cuda_int64, test/test_ops.py::TestTagsCUDA::test_tags_true_divide_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_where_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_xlogy_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_zeros_like_cuda_float32
2025-08-14T23:18:00.8357860Z 
2025-08-14T23:18:04.2753418Z /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.
2025-08-14T23:18:04.2755397Z   import pkg_resources
2025-08-14T23:18:04.6147930Z Running optim/test_optim 1/1 ... [2025-08-14 23:18:04.614361]
2025-08-14T23:18:04.6148374Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:18:04.6149853Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'optim/test_optim.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'] ... [2025-08-14 23:18:04.614690]
2025-08-14T23:18:08.1911120Z 
2025-08-14T23:18:08.1912381Z optim/test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_optim_1.1_541fedc8746a1881_.log
2025-08-14T23:18:08.1913011Z 
2025-08-14T23:18:11.8300297Z /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.
2025-08-14T23:18:11.8301661Z   import pkg_resources
2025-08-14T23:18:12.1791439Z Running nn/test_load_state_dict 1/1 ... [2025-08-14 23:18:12.178734]
2025-08-14T23:18:12.1791894Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:18:12.1793577Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_load_state_dict.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'] ... [2025-08-14 23:18:12.179073]
2025-08-14T23:18:16.8519405Z 
2025-08-14T23:18:16.8520281Z nn/test_load_state_dict 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_load_state_dict_1.1_f3da89d55a0e5fc2_.log
2025-08-14T23:18:16.8529718Z Running 27 items in this shard: test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_BC_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_BC_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_assign_meta_swap_False_keep_vars_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_assign_meta_swap_False_keep_vars_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_assign_meta_swap_True_keep_vars_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_assign_meta_swap_True_keep_vars_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_assign_shape_stride_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_assign_shape_stride_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_assign_with_optimizer_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_assign_with_optimizer_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_child_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_child_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_custom_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_custom_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_invalid_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_invalid_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_ref_cycle_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_type_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_type_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_warn_assign_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_warn_assign_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_with_unexpected_key_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_with_unexpected_key_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDictSwap::test_swap_subclass_swap_True_assign_False, test/nn/test_load_state_dict.py::TestLoadStateDictSwap::test_swap_subclass_swap_True_assign_True
2025-08-14T23:18:16.8537055Z 
2025-08-14T23:18:20.5338136Z /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.
2025-08-14T23:18:20.5339563Z   import pkg_resources
2025-08-14T23:18:20.8876137Z Running test_shape_ops 1/1 ... [2025-08-14 23:18:20.887186]
2025-08-14T23:18:20.8876822Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:18:20.8878764Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_shape_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 23:18:20.887555]
2025-08-14T23:18:26.2117720Z 
2025-08-14T23:18:26.2118824Z test_shape_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_shape_ops_1.1_b4164fb6784b222e_.log
2025-08-14T23:18:26.2153919Z Running 98 items in this shard: test/test_shape_ops.py::TestShapeOpsCUDA::test_clamp_cuda_float32, test/test_shape_ops.py::TestShapeOpsCUDA::test_clamp_cuda_int64, test/test_shape_ops.py::TestShapeOpsCUDA::test_clamp_propagates_nans_cuda, test/test_shape_ops.py::TestShapeOpsCUDA::test_clamp_raises_arg_errors_cuda, test/test_shape_ops.py::TestShapeOpsCUDA::test_complex_rot90_cuda_complex128, test/test_shape_ops.py::TestShapeOpsCUDA::test_complex_rot90_cuda_complex64, test/test_shape_ops.py::TestShapeOpsCUDA::test_diag_cuda_bool, test/test_shape_ops.py::TestShapeOpsCUDA::test_diag_cuda_float32, test/test_shape_ops.py::TestShapeOpsCUDA::test_diagonal_cuda, test/test_shape_ops.py::TestShapeOpsCUDA::test_diagonal_multidim_cuda_float32, test/test_shape_ops.py::TestShapeOpsCUDA::test_flip_cuda_bfloat16, test/test_shape_ops.py::TestShapeOpsCUDA::test_flip_cuda_bool, test/test_shape_ops.py::TestShapeOpsCUDA::test_flip_cuda_complex128, test/test_shape_ops.py::TestShapeOpsCUDA::test_flip_cuda_complex64, test/test_shape_ops.py::TestShapeOpsCUDA::test_flip_cuda_float16, test/test_shape_ops.py::TestShapeOpsCUDA::test_flip_cuda_float32, test/test_shape_ops.py::TestShapeOpsCUDA::test_flip_cuda_float64, test/test_shape_ops.py::TestShapeOpsCUDA::test_flip_cuda_int16, test/test_shape_ops.py::TestShapeOpsCUDA::test_flip_cuda_int32, test/test_shape_ops.py::TestShapeOpsCUDA::test_flip_cuda_int64, test/test_shape_ops.py::TestShapeOpsCUDA::test_flip_cuda_int8, test/test_shape_ops.py::TestShapeOpsCUDA::test_flip_cuda_uint8, test/test_shape_ops.py::TestShapeOpsCUDA::test_flip_errors_cuda_bfloat16, test/test_shape_ops.py::TestShapeOpsCUDA::test_flip_errors_cuda_bool, test/test_shape_ops.py::TestShapeOpsCUDA::test_flip_errors_cuda_complex128, test/test_shape_ops.py::TestShapeOpsCUDA::test_flip_errors_cuda_complex64, test/test_shape_ops.py::TestShapeOpsCUDA::test_flip_errors_cuda_float16, test/test_shape_ops.py::TestShapeOpsCUDA::test_flip_errors_cuda_float32, test/test_shape_ops.py::TestShapeOpsCUDA::test_flip_errors_cuda_float64, test/test_shape_ops.py::TestShapeOpsCUDA::test_flip_errors_cuda_int16, test/test_shape_ops.py::TestShapeOpsCUDA::test_flip_errors_cuda_int32, test/test_shape_ops.py::TestShapeOpsCUDA::test_flip_errors_cuda_int64, test/test_shape_ops.py::TestShapeOpsCUDA::test_flip_errors_cuda_int8, test/test_shape_ops.py::TestShapeOpsCUDA::test_flip_errors_cuda_uint8, test/test_shape_ops.py::TestShapeOpsCUDA::test_flip_large_tensor_cuda, test/test_shape_ops.py::TestShapeOpsCUDA::test_flip_numpy_cuda_bfloat16, test/test_shape_ops.py::TestShapeOpsCUDA::test_flip_numpy_cuda_bool, test/test_shape_ops.py::TestShapeOpsCUDA::test_flip_numpy_cuda_complex128, test/test_shape_ops.py::TestShapeOpsCUDA::test_flip_numpy_cuda_complex64, test/test_shape_ops.py::TestShapeOpsCUDA::test_flip_numpy_cuda_float16, test/test_shape_ops.py::TestShapeOpsCUDA::test_flip_numpy_cuda_float32, test/test_shape_ops.py::TestShapeOpsCUDA::test_flip_numpy_cuda_float64, test/test_shape_ops.py::TestShapeOpsCUDA::test_flip_numpy_cuda_int16, test/test_shape_ops.py::TestShapeOpsCUDA::test_flip_numpy_cuda_int32, test/test_shape_ops.py::TestShapeOpsCUDA::test_flip_numpy_cuda_int64, test/test_shape_ops.py::TestShapeOpsCUDA::test_flip_numpy_cuda_int8, test/test_shape_ops.py::TestShapeOpsCUDA::test_flip_numpy_cuda_uint8, test/test_shape_ops.py::TestShapeOpsCUDA::test_flip_unsupported_dtype_cuda_quint2x4, test/test_shape_ops.py::TestShapeOpsCUDA::test_flip_unsupported_dtype_cuda_quint4x2, test/test_shape_ops.py::TestShapeOpsCUDA::test_fliplr_cuda_complex128, test/test_shape_ops.py::TestShapeOpsCUDA::test_fliplr_cuda_float64, test/test_shape_ops.py::TestShapeOpsCUDA::test_fliplr_cuda_int64, test/test_shape_ops.py::TestShapeOpsCUDA::test_fliplr_invalid_cuda_complex128, test/test_shape_ops.py::TestShapeOpsCUDA::test_fliplr_invalid_cuda_float64, test/test_shape_ops.py::TestShapeOpsCUDA::test_fliplr_invalid_cuda_int64, test/test_shape_ops.py::TestShapeOpsCUDA::test_flipud_cuda_complex128, test/test_shape_ops.py::TestShapeOpsCUDA::test_flipud_cuda_float64, test/test_shape_ops.py::TestShapeOpsCUDA::test_flipud_cuda_int64, test/test_shape_ops.py::TestShapeOpsCUDA::test_flipud_invalid_cuda_complex128, test/test_shape_ops.py::TestShapeOpsCUDA::test_flipud_invalid_cuda_float64, test/test_shape_ops.py::TestShapeOpsCUDA::test_flipud_invalid_cuda_int64, test/test_shape_ops.py::TestShapeOpsCUDA::test_movedim_cuda_complex128, test/test_shape_ops.py::TestShapeOpsCUDA::test_movedim_cuda_float32, test/test_shape_ops.py::TestShapeOpsCUDA::test_movedim_cuda_int64, test/test_shape_ops.py::TestShapeOpsCUDA::test_movedim_invalid_cuda_complex128, test/test_shape_ops.py::TestShapeOpsCUDA::test_movedim_invalid_cuda_float32, test/test_shape_ops.py::TestShapeOpsCUDA::test_movedim_invalid_cuda_int64, test/test_shape_ops.py::TestShapeOpsCUDA::test_nonzero_astuple_out_cuda, test/test_shape_ops.py::TestShapeOpsCUDA::test_nonzero_cuda_bfloat16, test/test_shape_ops.py::TestShapeOpsCUDA::test_nonzero_cuda_bool, test/test_shape_ops.py::TestShapeOpsCUDA::test_nonzero_cuda_float16, test/test_shape_ops.py::TestShapeOpsCUDA::test_nonzero_cuda_float32, test/test_shape_ops.py::TestShapeOpsCUDA::test_nonzero_cuda_float64, test/test_shape_ops.py::TestShapeOpsCUDA::test_nonzero_cuda_int16, test/test_shape_ops.py::TestShapeOpsCUDA::test_nonzero_cuda_int32, test/test_shape_ops.py::TestShapeOpsCUDA::test_nonzero_cuda_int64, test/test_shape_ops.py::TestShapeOpsCUDA::test_nonzero_cuda_int8, test/test_shape_ops.py::TestShapeOpsCUDA::test_nonzero_cuda_uint8, test/test_shape_ops.py::TestShapeOpsCUDA::test_nonzero_discontiguous_cuda, test/test_shape_ops.py::TestShapeOpsCUDA::test_nonzero_no_warning_cuda, test/test_shape_ops.py::TestShapeOpsCUDA::test_nonzero_non_diff_cuda, test/test_shape_ops.py::TestShapeOpsCUDA::test_rot90_cuda, test/test_shape_ops.py::TestShapeOpsCUDA::test_sparse_dense_dim_cuda_complex128, test/test_shape_ops.py::TestShapeOpsCUDA::test_sparse_dense_dim_cuda_float32, test/test_shape_ops.py::TestShapeOpsCUDA::test_sparse_dense_dim_cuda_int64, test/test_shape_ops.py::TestShapeOpsCUDA::test_tolist_cuda, test/test_shape_ops.py::TestShapeOpsCUDA::test_trace_cuda_float16, test/test_shape_ops.py::TestShapeOpsCUDA::test_trace_cuda_float32, test/test_shape_ops.py::TestShapeOpsCUDA::test_trace_cuda_float64, test/test_shape_ops.py::TestShapeOpsCUDA::test_trace_cuda_int16, test/test_shape_ops.py::TestShapeOpsCUDA::test_trace_cuda_int32, test/test_shape_ops.py::TestShapeOpsCUDA::test_trace_cuda_int64, test/test_shape_ops.py::TestShapeOpsCUDA::test_trace_cuda_int8, test/test_shape_ops.py::TestShapeOpsCUDA::test_trace_cuda_uint8, test/test_shape_ops.py::TestShapeOpsCUDA::test_unbind_cuda, test/test_shape_ops.py::TestShapeOpsCUDA::test_unfold_all_devices_and_dtypes_cuda, test/test_shape_ops.py::TestShapeOpsCUDA::test_unfold_errors_cuda, test/test_shape_ops.py::TestShapeOpsCUDA::test_unfold_scalars_cuda
2025-08-14T23:18:26.2183630Z 
2025-08-14T23:18:29.8182587Z /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.
2025-08-14T23:18:29.8183919Z   import pkg_resources
2025-08-14T23:18:30.1607513Z Running torch_np/numpy_tests/core/test_dtype 1/1 ... [2025-08-14 23:18:30.160347]
2025-08-14T23:18:30.1608027Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:18:30.1610362Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_dtype.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'] ... [2025-08-14 23:18:30.160727]
2025-08-14T23:18:34.4826482Z 
2025-08-14T23:18:34.4827870Z torch_np/numpy_tests/core/test_dtype 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_dtype_1.1_1b86e04681f02bca_.log
2025-08-14T23:18:34.4858479Z Running 102 items in this shard: test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_equivalent_dtype_hashing, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_invalid_types, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Bool, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Bytes0, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Complex128, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Complex32, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Complex64, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Datetime64, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Float128, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Float16, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Float32, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Float64, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Int16, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Int32, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Int64, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Int8, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Object0, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Str0, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Timedelta64, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_UInt16, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_UInt32, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_UInt64, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_UInt8, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Uint32, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Uint64, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Void0, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_richcompare_invalid_dtype_comparison_operation0, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_richcompare_invalid_dtype_comparison_operation1, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_richcompare_invalid_dtype_comparison_operation2, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_richcompare_invalid_dtype_comparison_operation3, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_richcompare_invalid_dtype_equality, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_run_t0, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_run_t1, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_run_t2, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_run_t3, test/torch_np/numpy_tests/core/test_dtype.py::TestDtypeAttributeDeletion::test_dtype_non_writable_attributes_deletion, test/torch_np/numpy_tests/core/test_dtype.py::TestDtypeAttributeDeletion::test_dtype_writable_attributes_deletion, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_builtin_t0, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_builtin_t1, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_builtin_t2, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_builtin_t3, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_builtin_t4, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_pickle_types_DType11, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_pickle_types_bool__10, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_pickle_types_complex128_4, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_pickle_types_complex64_3, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_pickle_types_float16_0, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_pickle_types_float32_1, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_pickle_types_float64_2, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_pickle_types_int16_7, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_pickle_types_int32_8, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_pickle_types_int64_9, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_pickle_types_int8_6, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_pickle_types_uint8_5, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_complex_other_value_based_complex64_complex64_None, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_complex_other_value_based_float16_complex64_None, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_complex_other_value_based_float32_complex64_None, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_complex_other_value_based_other_4294967295_expected1_expected_weak1, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_complex_other_value_based_other_65535_expected0_expected_weak0, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_complex_scalar_value_based_other0_expected0, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_complex_scalar_value_based_other1_expected1, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_complex_scalar_value_based_other2_expected2, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_complex_scalar_value_based_other3_expected3, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_complex_scalar_value_based_other4_expected4, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_complex_scalar_value_based_other5_expected5, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_complex_scalar_value_based_other6_expected6, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_permutations_do_not_influence_result_dtypes0_expected0, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_permutations_do_not_influence_result_dtypes1_expected1, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_permutations_do_not_influence_result_dtypes2_expected2, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_permutations_do_not_influence_result_dtypes3_expected3, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_permutations_do_not_influence_result_dtypes4_expected4, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_permutations_do_not_influence_result_dtypes5_expected5, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_permutations_do_not_influence_result_dtypes6_expected6, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_permutations_do_not_influence_result_dtypes7_expected7, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_permutations_do_not_influence_result_dtypes8_expected8, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_permutations_do_not_influence_result_dtypes9_expected9, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_python_integer_promotion_val_18446744073709551616, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_python_integer_promotion_val_2, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_python_integer_promotion_val_200, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_python_integer_promotion_val_4294967296, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_python_integer_promotion_val_9223372036854775808, test/torch_np/numpy_tests/core/test_dtype.py::TestMisc::test_dtypes_are_true, test/torch_np/numpy_tests/core/test_dtype.py::TestMisc::test_keyword_argument, test/torch_np/numpy_tests/core/test_dtype.py::TestFromDTypeAttribute::test_recursion, test/torch_np/numpy_tests/core/test_dtype.py::TestFromDTypeAttribute::test_simple, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_dtype, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_dtype_subclass_code_?, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_dtype_subclass_code_B, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_dtype_subclass_code_D, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_dtype_subclass_code_F, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_dtype_subclass_code_b, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_dtype_subclass_code_d, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_dtype_subclass_code_e, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_dtype_subclass_code_f, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_dtype_subclass_code_h, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_dtype_subclass_code_i, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_dtype_subclass_code_l, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_subscript_scalar, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_subscript_tuple_arg_len_0, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_subscript_tuple_arg_len_1, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_subscript_tuple_arg_len_2, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_subscript_tuple_arg_len_3
2025-08-14T23:18:34.4887064Z 
2025-08-14T23:18:38.0961685Z /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.
2025-08-14T23:18:38.0963271Z   import pkg_resources
2025-08-14T23:18:38.4425582Z Running torch_np/numpy_tests/core/test_shape_base 1/1 ... [2025-08-14 23:18:38.442105]
2025-08-14T23:18:38.4426314Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:18:38.4428106Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_shape_base.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'] ... [2025-08-14 23:18:38.442489]
2025-08-14T23:18:42.8652147Z 
2025-08-14T23:18:42.8653268Z torch_np/numpy_tests/core/test_shape_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_shape_base_1.1_44a3e34495b7a172_.log
2025-08-14T23:18:42.8688479Z Running 119 items in this shard: test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast1d::test_0D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast1d::test_1D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast1d::test_2D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast1d::test_3D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast1d::test_r1array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast2d::test_0D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast2d::test_1D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast2d::test_2D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast2d::test_3D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast2d::test_r2array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast3d::test_0D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast3d::test_1D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast3d::test_2D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast3d::test_3D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_0D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_1D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_2D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_casting_and_dtype, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_casting_and_dtype_type_error, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_empty_input, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_generator, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_non_iterable, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_0D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_1D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_2D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_2D_array2, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_casting_and_dtype, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_casting_and_dtype_type_error, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_empty_input, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_generator, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_non_iterable, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_bad_out_shape, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_concatenate, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_concatenate_axis_None, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_exceptions, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_large_concatenate_axis_None, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_operator_concat, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_c8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_c8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_c8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_c8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_c8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f4_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f4_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f4_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f4_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f4_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_i8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_i8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_i8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_i8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_i8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_c8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_c8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_c8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_c8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_c8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f4_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f4_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f4_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f4_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f4_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_i8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_i8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_i8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_i8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_i8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_simple, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_returns_copy, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_c8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_c8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_c8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_c8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_c8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f4_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f4_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f4_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f4_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f4_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_i8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_i8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_i8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_i8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_i8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_3d, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_complicated, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_memory_order, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_mixed_1d_and_2d, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_simple_column_wise, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_simple_row_wise, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_total_size_estimate, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_with_1d_arrays_column_wise, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_with_1d_arrays_multiple_rows, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_with_1d_arrays_row_wise, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_with_mismatched_shape, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_different_ndims, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_different_ndims_depths, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_empty_lists, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_invalid_nesting, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_nested, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_no_lists, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_returns_copy, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_tuple
2025-08-14T23:18:42.8721608Z 
2025-08-14T23:18:46.4824885Z /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.
2025-08-14T23:18:46.4826275Z   import pkg_resources
2025-08-14T23:18:46.8314923Z Running test_type_info 1/1 ... [2025-08-14 23:18:46.831047]
2025-08-14T23:18:46.8315442Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:18:46.8317274Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_type_info.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'] ... [2025-08-14 23:18:46.831438]
2025-08-14T23:18:48.4321178Z 
2025-08-14T23:18:48.4322209Z test_decomp 9/14 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_9.14_300047b39cebf177_.log
2025-08-14T23:18:48.4563854Z Running 669 items in this shard: test/test_decomp.py::TestDecompCUDA::test_comprehensive_H_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive___getitem___cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive___radd___cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive___rand___cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive___rdiv___cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive___rdiv___cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive___rmod___cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive___ror___cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive___rxor___cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive___rxor___cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive__batch_norm_with_update_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive__chunk_cat_cuda_int32, 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test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_spherical_bessel_j0_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_xlog1py_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_xlog1py_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_zeta_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_split_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_split_list_args_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_square_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_squeeze_copy_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_squeeze_copy_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_squeeze_copy_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_squeeze_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_squeeze_cuda_int8, 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test/test_decomp.py::TestDecompCUDA::test_comprehensive_unsqueeze_copy_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_unsqueeze_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_var_mean_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_vdot_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_view_as_complex_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_view_as_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_view_as_real_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_vsplit_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_vsplit_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_vstack_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_where_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_zero__cuda_bool, 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test/test_decomp.py::TestDecompCUDA::test_quick_addcdiv_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_addcdiv_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_addcdiv_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_addcdiv_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_addcmul_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_addmm_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_addmm_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_addr_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_amax_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_amax_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_amax_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_amin_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_any_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_asin_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_quick_asinh_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_atan_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_atan_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_atanh_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_atanh_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_atanh_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_baddbmm_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_bernoulli_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_bitwise_and_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_bitwise_or_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_bitwise_xor_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_block_diag_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_cat_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_cat_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_quick_clamp_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_clamp_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_clamp_min_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_clamp_min_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_conj_physical_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_constant_pad_nd_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_copysign_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_core_backward_block_diag_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_core_backward_index_fill_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_core_backward_nn_functional_glu_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_core_backward_nn_functional_max_unpool2d_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_core_backward_renorm_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_core_backward_unfold_copy_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_count_nonzero_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_cumprod_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_deg2rad_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_deg2rad_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_diagonal_scatter_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_div_floor_rounding_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_div_floor_rounding_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_div_no_rounding_mode_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_div_trunc_rounding_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_empty_strided_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_erf_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_exp2_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_exponential_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_eye_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_fft_fft_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_quick_fft_fft_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_fft_fftn_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_fft_fftn_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_fft_hfft2_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_fft_hfft2_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_fft_hfft2_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_fft_hfft_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_fft_hfft_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_fft_hfft_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_fft_hfftn_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_fft_hfftn_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_quick_fft_hfftn_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_fft_ifft2_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_fft_ifft2_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_fft_ifft_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_fft_ihfftn_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_fft_ihfftn_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_fft_ihfftn_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_fft_irfftn_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_fft_irfftn_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_fft_rfft2_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_fft_rfftn_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_fill_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_floor_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_fmax_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_fmin_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_full_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_full_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_ge_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_ge_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_grid_sampler_2d_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_hypot_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_i0_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_i0_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_index_add_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_index_copy_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_index_select_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_lcm_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_lgamma_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_linalg_cross_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_linalg_cross_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_linalg_diagonal_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_linalg_diagonal_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_linalg_diagonal_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_linalg_vector_norm_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_linspace_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_linspace_tensor_overload_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_linspace_tensor_overload_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_linspace_tensor_overload_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_log10_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_log1p_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_log1p_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_log2_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_log_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_log_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_logaddexp2_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_logical_and_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_logical_not_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_logical_or_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_logical_or_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_logit_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_logspace_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_logspace_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_logspace_tensor_overload_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_logspace_tensor_overload_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_lt_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_lt_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_lt_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_masked_fill_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_masked_fill_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_maximum_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_mean_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_meshgrid_variadic_tensors_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_mul_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_mv_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_mvlgamma_mvlgamma_p_5_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_narrow_copy_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_ne_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_neg_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_new_empty_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_new_empty_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_new_full_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_new_full_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_new_ones_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_quick_new_zeros_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_nn_functional_binary_cross_entropy_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_nn_functional_binary_cross_entropy_with_logits_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_nn_functional_hardshrink_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_nn_functional_hardtanh_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_nn_functional_huber_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_nn_functional_leaky_relu_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_nn_functional_leaky_relu_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_nn_functional_max_unpool3d_grad_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_nn_functional_mish_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_nn_functional_mse_loss_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_nn_functional_mse_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_nn_functional_relu_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_nn_functional_softshrink_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_ones_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_ones_like_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_permute_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_pow_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_rad2deg_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_rad2deg_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_randn_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_reciprocal_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_rsqrt_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_quick_select_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_sgn_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_sgn_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_sigmoid_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_sigmoid_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_sign_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_sin_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_sinc_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_sinc_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_sinc_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_sinh_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_quick_slice_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_slice_scatter_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_slice_scatter_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_softmax_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_special_erfcx_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_special_erfcx_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_special_i1e_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_special_xlog1py_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_split_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_split_list_args_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_split_list_args_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_split_with_sizes_copy_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_sqrt_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_squeeze_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_squeeze_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_squeeze_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_squeeze_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_std_mean_unbiased_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_sub_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_sub_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_t_copy_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_t_copy_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_t_copy_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_t_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_tan_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_tanh_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_tanh_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_tanh_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_trace_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_transpose_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_tril_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_quick_triu_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_unbind_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_unbind_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_unfold_copy_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_unfold_copy_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_unsqueeze_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_unsqueeze_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_unsqueeze_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_var_mean_unbiased_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_var_unbiased_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_xlogy_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_xlogy_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_zeros_like_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_zeros_like_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_rnn_decomp_module_nn_LSTM_train_mode_cuda_float64
2025-08-14T23:18:48.4792742Z 
2025-08-14T23:18:51.0539335Z 
2025-08-14T23:18:51.0540279Z test_type_info 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_info_1.1_eebef626ef70eab9_.log
2025-08-14T23:18:51.0542172Z Running 5 items in this shard: test/test_type_info.py::TestDTypeInfo::test_finfo, test/test_type_info.py::TestDTypeInfo::test_iinfo, test/test_type_info.py::TestDTypeInfo::test_invalid_input, test/test_type_info.py::TestDTypeInfo::test_to_complex, test/test_type_info.py::TestDTypeInfo::test_to_real
2025-08-14T23:18:51.0543052Z 
2025-08-14T23:18:52.2218397Z /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.
2025-08-14T23:18:52.2219784Z   import pkg_resources
2025-08-14T23:18:52.6225964Z Running test_jit_llga_fuser 1/1 ... [2025-08-14 23:18:52.622117]
2025-08-14T23:18:52.6226594Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:18:52.6228380Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_jit_llga_fuser.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'] ... [2025-08-14 23:18:52.622502]
2025-08-14T23:18:54.8032166Z /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.
2025-08-14T23:18:54.8033583Z   import pkg_resources
2025-08-14T23:18:55.1642006Z Running test_indexing 1/1 ... [2025-08-14 23:18:55.163721]
2025-08-14T23:18:55.1642537Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:18:55.1643582Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_indexing.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'] ... [2025-08-14 23:18:55.164069]
2025-08-14T23:18:57.1495809Z 
2025-08-14T23:18:57.1496847Z test_jit_llga_fuser 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_llga_fuser_1.1_c81b63db71d9e664_.log
2025-08-14T23:18:57.1520716Z Running 107 items in this shard: test/test_jit_llga_fuser.py::TestEnableDisableLlgaFuser::test_context_manager, test/test_jit_llga_fuser.py::TestDynamoAOT::test_dynamo_aot_ts_onednn, test/test_jit_llga_fuser.py::TestModel::test_vision_alexnet_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_alexnet_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_densenet121_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_densenet121_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_densenet161_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_densenet161_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_densenet169_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_densenet169_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_densenet201_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_densenet201_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b0_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b0_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b1_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b1_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b2_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b2_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b3_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b3_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b4_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b4_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b5_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b5_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b6_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b6_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b7_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b7_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_googlenet_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_googlenet_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_mnasnet1_0_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_mnasnet1_0_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_mobilenet_v2_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_mobilenet_v2_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_mobilenet_v3_large_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_mobilenet_v3_large_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_regnet_y_400mf_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_regnet_y_400mf_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_resnet50_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_resnet50_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_resnext101_32x8d_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_resnext101_32x8d_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_resnext50_32x4d_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_resnext50_32x4d_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_shufflenet_v2_x1_0_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_shufflenet_v2_x1_0_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_squeezenet1_0_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_squeezenet1_0_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_vgg16_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_vgg16_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_wide_resnet50_2_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_wide_resnet50_2_float32, test/test_jit_llga_fuser.py::TestFusionPatternCUDA::test_bn2d_eltwise_cuda_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCUDA::test_bn2d_eltwise_cuda_float32, test/test_jit_llga_fuser.py::TestFusionPatternCUDA::test_conv2d_bn_cuda_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCUDA::test_conv2d_bn_cuda_float32, test/test_jit_llga_fuser.py::TestFusionPatternCUDA::test_conv2d_bn_relu_cuda_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCUDA::test_conv2d_bn_relu_cuda_float32, test/test_jit_llga_fuser.py::TestFusionPatternCUDA::test_conv2d_clamp_cuda_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCUDA::test_conv2d_clamp_cuda_float32, test/test_jit_llga_fuser.py::TestFusionPatternCUDA::test_conv2d_eltwise_cuda_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCUDA::test_conv2d_eltwise_cuda_float32, test/test_jit_llga_fuser.py::TestFusionPatternCUDA::test_conv2d_silu_cuda_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCUDA::test_conv2d_silu_cuda_float32, test/test_jit_llga_fuser.py::TestFusionPatternCUDA::test_conv2d_sum_cuda_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCUDA::test_conv2d_sum_cuda_float32, test/test_jit_llga_fuser.py::TestFusionPatternCUDA::test_ensure_tensor_is_rewrapped_cuda_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCUDA::test_ensure_tensor_is_rewrapped_cuda_float32, test/test_jit_llga_fuser.py::TestFusionPatternCUDA::test_linear_eltwise_cuda_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCUDA::test_linear_eltwise_cuda_float32, test/test_jit_llga_fuser.py::TestFusionPatternCUDA::test_rewrap_tensor_input_to_pytorch_cuda_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCUDA::test_rewrap_tensor_input_to_pytorch_cuda_float32, test/test_jit_llga_fuser.py::TestFusionPatternCUDA::test_wildcard_cuda_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCUDA::test_wildcard_cuda_float32, test/test_jit_llga_fuser.py::TestFusionPatternCUDA::test_wildcard_unsupported_dtype_cuda_int32, test/test_jit_llga_fuser.py::TestOpCUDA::test_add_cuda_bfloat16, test/test_jit_llga_fuser.py::TestOpCUDA::test_add_cuda_float32, test/test_jit_llga_fuser.py::TestOpCUDA::test_add_scalar_cuda_bfloat16, test/test_jit_llga_fuser.py::TestOpCUDA::test_add_scalar_cuda_float32, test/test_jit_llga_fuser.py::TestOpCUDA::test_addmm_cuda_bfloat16, test/test_jit_llga_fuser.py::TestOpCUDA::test_addmm_cuda_float32, test/test_jit_llga_fuser.py::TestOpCUDA::test_avg_pool2d_cuda_bfloat16, test/test_jit_llga_fuser.py::TestOpCUDA::test_avg_pool2d_cuda_float32, test/test_jit_llga_fuser.py::TestOpCUDA::test_bn2d_cuda_bfloat16, test/test_jit_llga_fuser.py::TestOpCUDA::test_bn2d_cuda_float32, test/test_jit_llga_fuser.py::TestOpCUDA::test_cat_cuda_bfloat16, test/test_jit_llga_fuser.py::TestOpCUDA::test_cat_cuda_float32, test/test_jit_llga_fuser.py::TestOpCUDA::test_conv2d_cuda_bfloat16, test/test_jit_llga_fuser.py::TestOpCUDA::test_conv2d_cuda_float32, test/test_jit_llga_fuser.py::TestOpCUDA::test_eltwise_cuda_bfloat16, test/test_jit_llga_fuser.py::TestOpCUDA::test_eltwise_cuda_float32, test/test_jit_llga_fuser.py::TestOpCUDA::test_identity_binary_cuda_bfloat16, test/test_jit_llga_fuser.py::TestOpCUDA::test_identity_binary_cuda_float32, test/test_jit_llga_fuser.py::TestOpCUDA::test_layer_norm_cuda_bfloat16, test/test_jit_llga_fuser.py::TestOpCUDA::test_layer_norm_cuda_float32, test/test_jit_llga_fuser.py::TestOpCUDA::test_linear_cuda_bfloat16, test/test_jit_llga_fuser.py::TestOpCUDA::test_linear_cuda_float32, test/test_jit_llga_fuser.py::TestOpCUDA::test_max_pool2d_cuda_bfloat16, test/test_jit_llga_fuser.py::TestOpCUDA::test_max_pool2d_cuda_float32, test/test_jit_llga_fuser.py::TestOpCUDA::test_mul_cuda_bfloat16, test/test_jit_llga_fuser.py::TestOpCUDA::test_mul_cuda_float32, test/test_jit_llga_fuser.py::TestOpCUDA::test_softmax_cuda_bfloat16, test/test_jit_llga_fuser.py::TestOpCUDA::test_softmax_cuda_float32, test/test_jit_llga_fuser.py::TestOpCUDA::test_typecheck_cuda_bfloat16, test/test_jit_llga_fuser.py::TestOpCUDA::test_typecheck_cuda_float32, test/test_jit_llga_fuser.py::TestOpCUDA::test_variable_kernel_avg_pool2d_cuda_bfloat16, test/test_jit_llga_fuser.py::TestOpCUDA::test_variable_kernel_avg_pool2d_cuda_float32
2025-08-14T23:18:57.1542049Z 
2025-08-14T23:19:00.8286339Z /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.
2025-08-14T23:19:00.8287778Z   import pkg_resources
2025-08-14T23:19:01.1696009Z Running torch_np/test_function_base 1/1 ... [2025-08-14 23:19:01.169223]
2025-08-14T23:19:01.1696574Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:19:01.1698584Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_function_base.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'] ... [2025-08-14 23:19:01.169591]
2025-08-14T23:19:05.1923935Z 
2025-08-14T23:19:05.1925053Z torch_np/test_function_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_function_base_1.1_2e92698ad8b9ec93_.log
2025-08-14T23:19:05.1926234Z Running 1 items in this shard: test/torch_np/test_function_base.py::TestAppend::test_basic
2025-08-14T23:19:05.1926654Z 
2025-08-14T23:19:08.8792481Z /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.
2025-08-14T23:19:08.8794169Z   import pkg_resources
2025-08-14T23:19:09.2345276Z Running torch_np/numpy_tests/lib/test_twodim_base 1/1 ... [2025-08-14 23:19:09.234067]
2025-08-14T23:19:09.2345820Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:19:09.2348437Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_twodim_base.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'] ... [2025-08-14 23:19:09.234514]
2025-08-14T23:19:11.4587910Z 
2025-08-14T23:19:11.4589094Z test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_indexing_1.1_092bb9c2585a5406_.log
2025-08-14T23:19:11.4624199Z Running 93 items in this shard: test/test_indexing.py::TestIndexingCUDA::test_advancedindex_big_cuda, test/test_indexing.py::TestIndexingCUDA::test_advancedindex_cuda_float16, test/test_indexing.py::TestIndexingCUDA::test_advancedindex_cuda_float64, test/test_indexing.py::TestIndexingCUDA::test_basic_advanced_combined_cuda, test/test_indexing.py::TestIndexingCUDA::test_bool_indices_accumulate_cuda, test/test_indexing.py::TestIndexingCUDA::test_bool_indices_cuda, test/test_indexing.py::TestIndexingCUDA::test_bool_mask_assignment_cuda, test/test_indexing.py::TestIndexingCUDA::test_byte_mask2d_cuda, test/test_indexing.py::TestIndexingCUDA::test_byte_mask_accumulate_cuda, test/test_indexing.py::TestIndexingCUDA::test_byte_mask_cuda, test/test_indexing.py::TestIndexingCUDA::test_byte_tensor_assignment_cuda, test/test_indexing.py::TestIndexingCUDA::test_cpu_indices_cuda, test/test_indexing.py::TestIndexingCUDA::test_cuda_broadcast_index_use_deterministic_algorithms_cuda, test/test_indexing.py::TestIndexingCUDA::test_ellipsis_tensor_cuda, test/test_indexing.py::TestIndexingCUDA::test_empty_index_cuda, test/test_indexing.py::TestIndexingCUDA::test_empty_ndim_index_bool_cuda, test/test_indexing.py::TestIndexingCUDA::test_empty_ndim_index_cuda, test/test_indexing.py::TestIndexingCUDA::test_empty_slice_cuda, test/test_indexing.py::TestIndexingCUDA::test_gather_take_along_dim_cross_device_cuda_float32, test/test_indexing.py::TestIndexingCUDA::test_getitem_scalars_cuda, test/test_indexing.py::TestIndexingCUDA::test_index_cuda, test/test_indexing.py::TestIndexingCUDA::test_index_getitem_copy_bools_slices_cuda, test/test_indexing.py::TestIndexingCUDA::test_index_ind_dtype_cuda, test/test_indexing.py::TestIndexingCUDA::test_index_limits_cuda, test/test_indexing.py::TestIndexingCUDA::test_index_put_accumulate_duplicate_indices_cuda, test/test_indexing.py::TestIndexingCUDA::test_index_put_accumulate_empty_cuda, test/test_indexing.py::TestIndexingCUDA::test_index_put_accumulate_expanded_values_cuda, test/test_indexing.py::TestIndexingCUDA::test_index_put_accumulate_non_contiguous_cuda, test/test_indexing.py::TestIndexingCUDA::test_index_put_deterministic_with_optional_tensors_cuda, test/test_indexing.py::TestIndexingCUDA::test_index_put_large_indices_cuda, test/test_indexing.py::TestIndexingCUDA::test_index_put_src_datatype_cuda_bfloat16, test/test_indexing.py::TestIndexingCUDA::test_index_put_src_datatype_cuda_bool, test/test_indexing.py::TestIndexingCUDA::test_index_put_src_datatype_cuda_complex128, test/test_indexing.py::TestIndexingCUDA::test_index_put_src_datatype_cuda_complex64, test/test_indexing.py::TestIndexingCUDA::test_index_put_src_datatype_cuda_float16, test/test_indexing.py::TestIndexingCUDA::test_index_put_src_datatype_cuda_float8_e4m3fn, test/test_indexing.py::TestIndexingCUDA::test_index_put_src_datatype_cuda_float8_e5m2, test/test_indexing.py::TestIndexingCUDA::test_index_put_src_datatype_cuda_int64, test/test_indexing.py::TestIndexingCUDA::test_index_scalar_with_bool_mask_cuda, test/test_indexing.py::TestIndexingCUDA::test_index_setitem_bools_slices_cuda, test/test_indexing.py::TestIndexingCUDA::test_index_src_datatype_cuda_bfloat16, test/test_indexing.py::TestIndexingCUDA::test_index_src_datatype_cuda_bool, test/test_indexing.py::TestIndexingCUDA::test_index_src_datatype_cuda_float16, test/test_indexing.py::TestIndexingCUDA::test_index_src_datatype_cuda_int64, test/test_indexing.py::TestIndexingCUDA::test_int_assignment_cuda, test/test_indexing.py::TestIndexingCUDA::test_int_indices2d_cuda, test/test_indexing.py::TestIndexingCUDA::test_int_indices_broadcast_cuda, test/test_indexing.py::TestIndexingCUDA::test_int_indices_cuda, test/test_indexing.py::TestIndexingCUDA::test_invalid_device_cuda, test/test_indexing.py::TestIndexingCUDA::test_invalid_index_cuda, test/test_indexing.py::TestIndexingCUDA::test_jit_indexing_cuda, test/test_indexing.py::TestIndexingCUDA::test_list_indices_cuda, test/test_indexing.py::TestIndexingCUDA::test_multi_dimensional_bool_mask_assignment_cuda, test/test_indexing.py::TestIndexingCUDA::test_multi_dimensional_bool_mask_cuda, test/test_indexing.py::TestIndexingCUDA::test_multiple_bool_indices_cuda, test/test_indexing.py::TestIndexingCUDA::test_multiple_byte_mask_cuda, test/test_indexing.py::TestIndexingCUDA::test_multiple_int_cuda, test/test_indexing.py::TestIndexingCUDA::test_none_cuda, test/test_indexing.py::TestIndexingCUDA::test_out_of_bound_index_cuda, test/test_indexing.py::TestIndexingCUDA::test_set_item_to_scalar_tensor_cuda, test/test_indexing.py::TestIndexingCUDA::test_setitem_expansion_error_cuda, test/test_indexing.py::TestIndexingCUDA::test_setitem_scalars_cuda, test/test_indexing.py::TestIndexingCUDA::test_single_int_cuda, test/test_indexing.py::TestIndexingCUDA::test_step_assignment_cuda, test/test_indexing.py::TestIndexingCUDA::test_step_cuda, test/test_indexing.py::TestIndexingCUDA::test_take_along_dim_cuda_float32, test/test_indexing.py::TestIndexingCUDA::test_take_along_dim_cuda_int64, test/test_indexing.py::TestIndexingCUDA::test_take_along_dim_invalid_cuda_float32, test/test_indexing.py::TestIndexingCUDA::test_take_along_dim_invalid_cuda_int64, test/test_indexing.py::TestIndexingCUDA::test_unravel_index_errors_cuda, test/test_indexing.py::TestIndexingCUDA::test_variable_slicing_cuda, test/test_indexing.py::TestIndexingCUDA::test_zero_dim_index_cuda, test/test_indexing.py::NumpyTestsCUDA::test_boolean_assignment_value_mismatch_cuda, test/test_indexing.py::NumpyTestsCUDA::test_boolean_indexing_alldims_cuda, test/test_indexing.py::NumpyTestsCUDA::test_boolean_indexing_onedim_cuda, test/test_indexing.py::NumpyTestsCUDA::test_boolean_indexing_twodim_cuda, test/test_indexing.py::NumpyTestsCUDA::test_boolean_indexing_weirdness_cuda, test/test_indexing.py::NumpyTestsCUDA::test_boolean_indexing_weirdness_tensors_cuda, test/test_indexing.py::NumpyTestsCUDA::test_boolean_list_indexing_cuda, test/test_indexing.py::NumpyTestsCUDA::test_boolean_shape_mismatch_cuda, test/test_indexing.py::NumpyTestsCUDA::test_broadcast_subspace_cuda, test/test_indexing.py::NumpyTestsCUDA::test_broaderrors_indexing_cuda, test/test_indexing.py::NumpyTestsCUDA::test_ellipsis_index_cuda, test/test_indexing.py::NumpyTestsCUDA::test_empty_fancy_index_cuda, test/test_indexing.py::NumpyTestsCUDA::test_empty_tuple_index_cuda, test/test_indexing.py::NumpyTestsCUDA::test_everything_returns_views_cuda, test/test_indexing.py::NumpyTestsCUDA::test_index_is_larger_cuda, test/test_indexing.py::NumpyTestsCUDA::test_index_no_floats_cuda, test/test_indexing.py::NumpyTestsCUDA::test_none_index_cuda, test/test_indexing.py::NumpyTestsCUDA::test_single_bool_index_cuda, test/test_indexing.py::NumpyTestsCUDA::test_single_int_index_cuda, test/test_indexing.py::NumpyTestsCUDA::test_trivial_fancy_out_of_bounds_cuda, test/test_indexing.py::NumpyTestsCUDA::test_truncate_leading_1s_cuda
2025-08-14T23:19:11.4654480Z 
2025-08-14T23:19:13.7573708Z 
2025-08-14T23:19:13.7575019Z torch_np/numpy_tests/lib/test_twodim_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_twodim_base_1.1_75b2c3863fa41e54_.log
2025-08-14T23:19:13.7589791Z Running 34 items in this shard: test/torch_np/numpy_tests/lib/test_twodim_base.py::TestEye::test_2d, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestEye::test_basic, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestEye::test_bool, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestEye::test_diag, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestEye::test_diag2d, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestEye::test_eye_bounds, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestEye::test_order, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestDiag::test_diag_bounds, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestDiag::test_failure, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestDiag::test_fortran_order, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestDiag::test_matrix, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestDiag::test_vector, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestFliplr::test_basic, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestFlipud::test_basic, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestHistogram2d::test_all_outliers, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestHistogram2d::test_asym, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestHistogram2d::test_bad_length_x_len_10_y_len_11, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestHistogram2d::test_bad_length_x_len_20_y_len_19, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestHistogram2d::test_binparameter_combination, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestHistogram2d::test_density, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestHistogram2d::test_empty, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestHistogram2d::test_simple, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestTri::test_dtype, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestTri::test_mask_indices, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestTri::test_tril_indices, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestTri::test_tril_triu_dtype, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestTri::test_tril_triu_ndim2, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestTri::test_tril_triu_ndim3, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestTri::test_tril_triu_with_inf, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestTriuIndices::test_triu_indices, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestTrilIndicesFrom::test_exceptions, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestTriuIndicesFrom::test_exceptions, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestVander::test_basic, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestVander::test_dtypes
2025-08-14T23:19:13.7603741Z 
2025-08-14T23:19:15.3168821Z /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.
2025-08-14T23:19:15.3170886Z   import pkg_resources
2025-08-14T23:19:15.6705611Z Running torch_np/test_scalars_0D_arrays 1/1 ... [2025-08-14 23:19:15.670058]
2025-08-14T23:19:15.6706313Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:19:15.6707741Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_scalars_0D_arrays.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'] ... [2025-08-14 23:19:15.670437]
2025-08-14T23:19:17.5242022Z /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.
2025-08-14T23:19:17.5243468Z   import pkg_resources
2025-08-14T23:19:17.8814212Z Running nn/test_module_hooks 1/1 ... [2025-08-14 23:19:17.881028]
2025-08-14T23:19:17.8814903Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:19:17.8816876Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_module_hooks.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 23:19:17.881400]
2025-08-14T23:19:19.8926549Z 
2025-08-14T23:19:19.8927915Z torch_np/test_scalars_0D_arrays 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_scalars_0D_arrays_1.1_cb3eac3f7e6cbba2_.log
2025-08-14T23:19:19.8938010Z Running 33 items in this shard: test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_array_scalar_basic_array, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_array_scalar_basic_asarray, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_array_scalar_basic_asarray_int, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_array_scalar_basic_int64, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_conversion_to_int_array, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_conversion_to_int_asarray, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_conversion_to_int_asarray_int, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_conversion_to_int_int64, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_decay_to_py_scalar_array, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_decay_to_py_scalar_asarray, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_decay_to_py_scalar_asarray_int, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_decay_to_py_scalar_int64, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_scalar_comparisons, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value0, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value1, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value10, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value11, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value4, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value5, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value6, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value7, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value8, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value9, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value_s, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value_string, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_array_0D, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_array_1D, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_array_2D, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_float32, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_int, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_list, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_list-list, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_literal
2025-08-14T23:19:19.8946883Z 
2025-08-14T23:19:22.3559904Z 
2025-08-14T23:19:22.3561100Z nn/test_module_hooks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_module_hooks_1.1_a9bc3a483b1744d2_.log
2025-08-14T23:19:22.3575120Z Running 53 items in this shard: test/nn/test_module_hooks.py::TestModuleHooks::test_always_called_forward_hooks, test/nn/test_module_hooks.py::TestModuleHooks::test_bw_hook_warning_for_non_tensor_or_tuple, test/nn/test_module_hooks.py::TestModuleHooks::test_forward_hooks_named_tuple_False, test/nn/test_module_hooks.py::TestModuleHooks::test_forward_hooks_named_tuple_True, test/nn/test_module_hooks.py::TestModuleHooks::test_forward_pre_hooks_named_tuple_False, test/nn/test_module_hooks.py::TestModuleHooks::test_forward_pre_hooks_named_tuple_True, test/nn/test_module_hooks.py::TestModuleHooks::test_full_backward_hooks_named_tuple_False, test/nn/test_module_hooks.py::TestModuleHooks::test_full_backward_hooks_named_tuple_True, test/nn/test_module_hooks.py::TestModuleHooks::test_full_backward_pre_hooks_named_tuple_False, test/nn/test_module_hooks.py::TestModuleHooks::test_full_backward_pre_hooks_named_tuple_True, test/nn/test_module_hooks.py::TestModuleHooks::test_kwarg_hooks, test/nn/test_module_hooks.py::TestModuleHooks::test_mixed_hooks_named_tuple_False, test/nn/test_module_hooks.py::TestModuleHooks::test_mixed_hooks_named_tuple_True, test/nn/test_module_hooks.py::TestModuleHooks::test_remove_kwarg_hooks, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_module_pre_hook_swap_False, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_module_pre_hook_swap_True, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_post_hook_backward_compatibility_swap_False, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_post_hook_backward_compatibility_swap_True, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_post_hook_swap_False, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_post_hook_swap_True, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_pre_hook_swap_False, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_pre_hook_swap_True, test/nn/test_module_hooks.py::TestStateDictHooks::test_no_extra_ref_to_module, test/nn/test_module_hooks.py::TestStateDictHooks::test_pickled_hook, test/nn/test_module_hooks.py::TestStateDictHooks::test_register_state_dict_post_hook_private_False, test/nn/test_module_hooks.py::TestStateDictHooks::test_register_state_dict_post_hook_private_True, test/nn/test_module_hooks.py::TestStateDictHooks::test_register_state_dict_pre_hook, test/nn/test_module_hooks.py::TestStateDictHooks::test_register_state_dict_pre_hook_backward_compat, test/nn/test_module_hooks.py::TestStateDictHooks::test_register_state_dict_pre_hook_lazy_module, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_global_and_local_hooks_order, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_module_backward_global_hook_writeable, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_module_forward_forward_hook_removable, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_module_forward_preforward_hook_removable, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_module_global_forward_preforward_hook_writeable, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_module_global_hook_invalid_outputs, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_module_global_hooks, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_module_global_hooks_with_kwargs, test/nn/test_module_hooks.py::TestModuleHookNN::test_backward_hooks_interaction, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_backward_size, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_backward_writeable, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_buffer_registration, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_cpp, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_extra_input, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_forward_preforward_writable, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_inplace, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_invalid_outputs, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_last_arg_requires_grad, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_no_requires_grad, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_non_full_warning, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_parameter_registration, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_requires_grad, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_submodule_registration, test/nn/test_module_hooks.py::TestModuleHookNN::test_hooks
2025-08-14T23:19:22.3587655Z 
2025-08-14T23:19:23.7418923Z /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.
2025-08-14T23:19:23.7420761Z   import pkg_resources
2025-08-14T23:19:24.1038857Z Running test_numa_binding 1/1 ... [2025-08-14 23:19:24.103494]
2025-08-14T23:19:24.1039295Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:19:24.1042296Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_numa_binding.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 23:19:24.103882]
2025-08-14T23:19:26.1170982Z /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.
2025-08-14T23:19:26.1172347Z   import pkg_resources
2025-08-14T23:19:26.4804108Z Running torch_np/numpy_tests/core/test_getlimits 1/1 ... [2025-08-14 23:19:26.479955]
2025-08-14T23:19:26.4804654Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:19:26.4806937Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_getlimits.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'] ... [2025-08-14 23:19:26.480363]
2025-08-14T23:19:30.8036271Z 
2025-08-14T23:19:30.8037766Z torch_np/numpy_tests/core/test_getlimits 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_getlimits_1.1_d23a39262cec8f70_.log
2025-08-14T23:19:30.8043694Z Running 17 items in this shard: test/torch_np/numpy_tests/core/test_getlimits.py::TestPythonFloat::test_singleton, test/torch_np/numpy_tests/core/test_getlimits.py::TestHalf::test_singleton, test/torch_np/numpy_tests/core/test_getlimits.py::TestSingle::test_singleton, test/torch_np/numpy_tests/core/test_getlimits.py::TestDouble::test_singleton, test/torch_np/numpy_tests/core/test_getlimits.py::TestFinfo::test_basic, test/torch_np/numpy_tests/core/test_getlimits.py::TestFinfo::test_basic_missing, test/torch_np/numpy_tests/core/test_getlimits.py::TestIinfo::test_basic, test/torch_np/numpy_tests/core/test_getlimits.py::TestIinfo::test_unsigned_max_T0, test/torch_np/numpy_tests/core/test_getlimits.py::TestIinfo::test_unsigned_max_T1, test/torch_np/numpy_tests/core/test_getlimits.py::TestIinfo::test_unsigned_max_T2, test/torch_np/numpy_tests/core/test_getlimits.py::TestIinfo::test_unsigned_max_T3, test/torch_np/numpy_tests/core/test_getlimits.py::TestRepr::test_finfo_repr, test/torch_np/numpy_tests/core/test_getlimits.py::TestRepr::test_iinfo_repr, test/torch_np/numpy_tests/core/test_getlimits.py::TestMisc::test_instances, test/torch_np/numpy_tests/core/test_getlimits.py::TestMisc::test_known_types, test/torch_np/numpy_tests/core/test_getlimits.py::TestMisc::test_plausible_finfo, test/torch_np/numpy_tests/core/test_getlimits.py::TestMisc::test_subnormal_warning
2025-08-14T23:19:30.8048132Z 
2025-08-14T23:19:33.6371260Z 
2025-08-14T23:19:33.6372091Z test_numa_binding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numa_binding_1.1_79a0a4041d8b31c7_.log
2025-08-14T23:19:33.6377864Z Running 19 items in this shard: test/test_numa_binding.py::NumaBindingTest::test_binds_to_node_0_if_node_stored_as_minus_one, test/test_numa_binding.py::NumaBindingTest::test_callable_entrypoint_basic, test/test_numa_binding.py::NumaBindingTest::test_core_complex_numa_binding_with_extra_l3, test/test_numa_binding.py::NumaBindingTest::test_core_complex_numa_binding_with_fewer_l3_than_gpu, test/test_numa_binding.py::NumaBindingTest::test_core_complex_prefers_caches_with_more_cpus, test/test_numa_binding.py::NumaBindingTest::test_core_complex_tiebreak_prefers_lower_cache_key, test/test_numa_binding.py::NumaBindingTest::test_default_numa_binding, test/test_numa_binding.py::NumaBindingTest::test_exclusive_numa_binding, test/test_numa_binding.py::NumaBindingTest::test_exclusive_raises_if_too_few_physical_cores, test/test_numa_binding.py::NumaBindingTest::test_explicit_numa_options_overrides_default, test/test_numa_binding.py::NumaBindingTest::test_fallback, test/test_numa_binding.py::NumaBindingTest::test_fork_start_method_does_not_call_get_default_numa_options, test/test_numa_binding.py::NumaBindingTest::test_get_range_str_from_ints, test/test_numa_binding.py::NumaBindingTest::test_get_set_of_int_from_ranges_str, test/test_numa_binding.py::NumaBindingTest::test_no_numa_binding_if_numa_options_not_provided, test/test_numa_binding.py::NumaBindingTest::test_node_numa_binding, test/test_numa_binding.py::NumaBindingTest::test_raises_error_if_numactl_unavailable, test/test_numa_binding.py::NumaBindingTest::test_socket_numa_binding_with_multiple_numa_per_socket, test/test_numa_binding.py::NumaBindingTest::test_socket_numa_binding_with_single_numa_per_socket
2025-08-14T23:19:33.6382483Z 
2025-08-14T23:19:34.6372785Z /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.
2025-08-14T23:19:34.6375322Z   import pkg_resources
2025-08-14T23:19:35.0073265Z Running torch_np/test_ndarray_methods 1/1 ... [2025-08-14 23:19:35.006954]
2025-08-14T23:19:35.0073862Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:19:35.0076691Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_ndarray_methods.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'] ... [2025-08-14 23:19:35.007393]
2025-08-14T23:19:37.3907816Z /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.
2025-08-14T23:19:37.3909258Z   import pkg_resources
2025-08-14T23:19:37.7466108Z Running lazy/test_debug_util 1/1 ... [2025-08-14 23:19:37.746216]
2025-08-14T23:19:37.7466550Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:19:37.7468938Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_debug_util.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'] ... [2025-08-14 23:19:37.746615]
2025-08-14T23:19:41.9186387Z 
2025-08-14T23:19:41.9187448Z lazy/test_debug_util 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_debug_util_1.1_e73d24e6a809639d_.log
2025-08-14T23:19:41.9188582Z Running 1 items in this shard: test/lazy/test_debug_util.py::DebugUtilTest::test_get_python_frames
2025-08-14T23:19:41.9189028Z 
2025-08-14T23:19:42.5858370Z 
2025-08-14T23:19:42.5859875Z torch_np/test_ndarray_methods 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_ndarray_methods_1.1_fedda2d195d64141_.log
2025-08-14T23:19:42.5953929Z Running 342 items in this shard: test/torch_np/test_ndarray_methods.py::TestIndexing::test_indexing_simple, test/torch_np/test_ndarray_methods.py::TestIndexing::test_setitem, test/torch_np/test_ndarray_methods.py::TestReshape::test_reshape_function, test/torch_np/test_ndarray_methods.py::TestReshape::test_reshape_method, test/torch_np/test_ndarray_methods.py::TestTranspose::test_transpose_function, test/torch_np/test_ndarray_methods.py::TestTranspose::test_transpose_method, test/torch_np/test_ndarray_methods.py::TestRavel::test_ravel_function, test/torch_np/test_ndarray_methods.py::TestRavel::test_ravel_method, test/torch_np/test_ndarray_methods.py::TestNonzero::test_array_method, test/torch_np/test_ndarray_methods.py::TestNonzero::test_nonzero_onedim, test/torch_np/test_ndarray_methods.py::TestNonzero::test_nonzero_trivial, test/torch_np/test_ndarray_methods.py::TestNonzero::test_nonzero_twodim, test/torch_np/test_ndarray_methods.py::TestNonzero::test_sparse, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_all_method_max, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_all_method_min, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size0_axis0_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size0_axis0_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size10_axis_-1_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size10_axis_-1_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size11_axis_0_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size11_axis_0_method1, 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test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size7_axis_1_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size7_axis_1_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size8_axis8_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size8_axis8_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size9_axis_-2_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size9_axis_-2_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_vs_ndarray_arr_method_argmax_np_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_vs_ndarray_arr_method_argmin_np_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_vs_ndarray_positional_arr_method_argmax_np_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_vs_ndarray_positional_arr_method_argmin_np_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_output_shape_method_argmax, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_output_shape_method_argmin, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_ret_is_out_ndim_0_method_argmax, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_ret_is_out_ndim_0_method_argmin, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_ret_is_out_ndim_1_method_argmax, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_ret_is_out_ndim_1_method_argmin, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data0, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data1, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data10, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data11, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data12, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data13, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data14, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data15, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data16, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data17, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data18, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data19, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data2, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data20, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data21, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data22, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data23, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data24, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data25, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data26, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data27, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data28, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data29, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data3, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data30, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data31, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data32, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data33, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data34, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data35, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data36, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data37, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data38, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data39, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data4, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data40, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data41, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data42, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data43, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data44, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data45, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data46, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data47, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data48, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data49, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data5, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data50, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data51, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data52, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data53, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data54, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data55, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data56, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data57, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data58, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data59, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data6, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data60, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data61, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data62, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data63, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data64, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data65, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data66, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data67, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data68, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data69, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data7, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data70, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data71, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data72, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data73, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data8, test/torch_np/test_ndarray_methods.py::TestArgmax::test_combinations_data9, test/torch_np/test_ndarray_methods.py::TestArgmax::test_maximum_signed_integers, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data0, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data1, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data10, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data11, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data12, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data13, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data14, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data15, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data16, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data17, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data18, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data19, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data2, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data20, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data21, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data22, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data23, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data24, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data25, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data26, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data27, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data28, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data29, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data3, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data30, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data31, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data32, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data33, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data34, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data35, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data36, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data37, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data38, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data39, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data4, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data40, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data41, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data42, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data43, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data44, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data45, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data46, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data47, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data48, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data49, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data5, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data50, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data51, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data52, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data53, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data54, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data55, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data56, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data57, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data58, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data59, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data6, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data60, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data61, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data62, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data63, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data64, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data65, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data66, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data67, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data68, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data69, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data7, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data70, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data71, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data72, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data73, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data8, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data9, test/torch_np/test_ndarray_methods.py::TestArgmin::test_minimum_signed_integers, test/torch_np/test_ndarray_methods.py::TestAmax::test_basic, test/torch_np/test_ndarray_methods.py::TestAmin::test_basic, test/torch_np/test_ndarray_methods.py::TestContains::test_contains, test/torch_np/test_ndarray_methods.py::TestNoExtraMethods::test_extra_methods_name_fn, test/torch_np/test_ndarray_methods.py::TestNoExtraMethods::test_extra_methods_name_ivar, test/torch_np/test_ndarray_methods.py::TestNoExtraMethods::test_extra_methods_name_method, test/torch_np/test_ndarray_methods.py::TestNoExtraMethods::test_extra_methods_name_name, test/torch_np/test_ndarray_methods.py::TestNoExtraMethods::test_extra_methods_name_plain, test/torch_np/test_ndarray_methods.py::TestNoExtraMethods::test_extra_methods_name_rvar, test/torch_np/test_ndarray_methods.py::TestIter::test_iter_1d, test/torch_np/test_ndarray_methods.py::TestIter::test_iter_2d
2025-08-14T23:19:42.6043196Z 
2025-08-14T23:19:45.7329610Z /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.
2025-08-14T23:19:45.7331020Z   import pkg_resources
2025-08-14T23:19:46.0977781Z Running torch_np/numpy_tests/lib/test_shape_base_ 1/1 ... [2025-08-14 23:19:46.097347]
2025-08-14T23:19:46.0978328Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:19:46.0980491Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_shape_base_.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'] ... [2025-08-14 23:19:46.097744]
2025-08-14T23:19:46.3893364Z /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.
2025-08-14T23:19:46.3894787Z   import pkg_resources
2025-08-14T23:19:46.7779122Z Running torch_np/numpy_tests/linalg/test_linalg 1/1 ... [2025-08-14 23:19:46.777475]
2025-08-14T23:19:46.7779673Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:19:46.7781415Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/linalg/test_linalg.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'] ... [2025-08-14 23:19:46.777803]
2025-08-14T23:19:50.7207260Z 
2025-08-14T23:19:50.7208576Z torch_np/numpy_tests/lib/test_shape_base_ 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_shape_base__1.1_f71fa9d522f8a4a0_.log
2025-08-14T23:19:50.7227440Z Running 73 items in this shard: test/torch_np/numpy_tests/lib/test_shape_base_.py::TestTakeAlongAxis::test_argequivalent, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestTakeAlongAxis::test_broadcast, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestTakeAlongAxis::test_empty, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestTakeAlongAxis::test_invalid, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestPutAlongAxis::test_broadcast, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestPutAlongAxis::test_replace_max, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyAlongAxis::test_0d_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyAlongAxis::test_3d, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyAlongAxis::test_axis_insertion, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyAlongAxis::test_axis_insertion_ma, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyAlongAxis::test_empty, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyAlongAxis::test_scalar_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyAlongAxis::test_simple, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyAlongAxis::test_simple101, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyAlongAxis::test_tuple_func1d, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyAlongAxis::test_with_iterable_object, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyOverAxes::test_simple, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestExpandDims::test_axis_out_of_range, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestExpandDims::test_axis_tuple, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestExpandDims::test_functionality, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestExpandDims::test_repeated_axis, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestArraySplit::test_index_split_high_bound, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestArraySplit::test_index_split_low_bound, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestArraySplit::test_index_split_simple, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestArraySplit::test_integer_0_split, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestArraySplit::test_integer_split, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestArraySplit::test_integer_split_2D_cols, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestArraySplit::test_integer_split_2D_default, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestArraySplit::test_integer_split_2D_rows, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestArraySplit::test_integer_split_2D_rows_greater_max_int32, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestSplit::test_equal_split, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestSplit::test_unequal_split, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestColumnStack::test_1D_arrays, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestColumnStack::test_2D_arrays, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestColumnStack::test_generator, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestColumnStack::test_non_iterable, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDstack::test_0D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDstack::test_1D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDstack::test_2D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDstack::test_2D_array2, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDstack::test_generator, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDstack::test_non_iterable, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestHsplit::test_0D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestHsplit::test_1D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestHsplit::test_2D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestHsplit::test_non_iterable, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestVsplit::test_0D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestVsplit::test_1D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestVsplit::test_2D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestVsplit::test_non_iterable, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDsplit::test_0D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDsplit::test_1D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDsplit::test_2D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDsplit::test_3D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDsplit::test_non_iterable, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestSqueeze::test_basic, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestSqueeze::test_basic_2, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestSqueeze::test_squeeze_axis, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestSqueeze::test_squeeze_axis_handling, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestSqueeze::test_squeeze_contiguous, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestSqueeze::test_squeeze_type, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestKron::test_basic, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestKron::test_kron_shape_shape_a0_shape_b0, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestKron::test_kron_shape_shape_a1_shape_b1, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestKron::test_kron_shape_shape_a2_shape_b2, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestKron::test_kron_shape_shape_a3_shape_b3, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestKron::test_kron_shape_shape_a4_shape_b4, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestKron::test_kron_shape_shape_a5_shape_b5, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestTile::test_basic, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestTile::test_empty, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestTile::test_kroncompare, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestTile::test_tile_one_repetition_on_array_gh4679, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestMayShareMemory::test_basic
2025-08-14T23:19:50.7244578Z 
2025-08-14T23:19:54.3695296Z /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.
2025-08-14T23:19:54.3696410Z   import pkg_resources
2025-08-14T23:19:54.7201231Z Running test_sparse_csr 1/2 ... [2025-08-14 23:19:54.719630]
2025-08-14T23:19:54.7201679Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:19:54.7203247Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_sparse_csr.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'] ... [2025-08-14 23:19:54.720047]
2025-08-14T23:19:58.2187559Z 
2025-08-14T23:19:58.2188691Z torch_np/numpy_tests/linalg/test_linalg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.linalg.test_linalg_1.1_002e2e7dd9ab5d59_.log
2025-08-14T23:19:58.2257416Z Running 268 items in this shard: test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_0_size, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_0_size_k, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_generalized_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_generalized_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_types_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_types_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_types_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_types_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_0_size, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_generalized_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_generalized_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_types_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_types_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_types_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_types_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_0_size, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_generalized_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_generalized_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_types_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_types_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_types_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_types_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEig::test_0_size, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEig::test_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEig::test_generalized_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEig::test_generalized_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEig::test_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEig::test_types_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEig::test_types_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEig::test_types_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEig::test_types_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVD::test_empty_identity, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVD::test_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVD::test_generalized_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVD::test_generalized_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVD::test_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVD::test_types_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVD::test_types_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVD::test_types_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVD::test_types_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVDHermitian::test_empty_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVDHermitian::test_generalized_empty_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVDHermitian::test_generalized_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVDHermitian::test_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVDHermitian::test_types_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVDHermitian::test_types_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVDHermitian::test_types_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVDHermitian::test_types_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCond::test_basic_nonsvd, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCond::test_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCond::test_generalized_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCond::test_generalized_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCond::test_nan, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCond::test_singular, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCond::test_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCond::test_stacked_singular, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinv::test_empty_nonsq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinv::test_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinv::test_generalized_empty_nonsq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinv::test_generalized_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinv::test_generalized_nonsq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinv::test_generalized_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinv::test_nonsq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinv::test_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinvHermitian::test_empty_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinvHermitian::test_generalized_empty_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinvHermitian::test_generalized_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinvHermitian::test_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_0_size, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_generalized_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_generalized_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_types_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_types_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_types_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_types_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_zero, test/torch_np/numpy_tests/linalg/test_linalg.py::TestLstsq::test_empty_a_b_m_0_n_0_n_rhs_0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestLstsq::test_empty_a_b_m_0_n_4_n_rhs_1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestLstsq::test_empty_a_b_m_0_n_4_n_rhs_2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestLstsq::test_empty_a_b_m_4_n_0_n_rhs_1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestLstsq::test_empty_a_b_m_4_n_0_n_rhs_2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestLstsq::test_empty_a_b_m_4_n_2_n_rhs_2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestLstsq::test_empty_nonsq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestLstsq::test_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestLstsq::test_future_rcond, test/torch_np/numpy_tests/linalg/test_linalg.py::TestLstsq::test_incompatible_dims, test/torch_np/numpy_tests/linalg/test_linalg.py::TestLstsq::test_nonsq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestLstsq::test_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvalshCases::test_generalized_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvalshCases::test_generalized_empty_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvalshCases::test_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvalshCases::test_empty_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvalsh::test_0_size, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvalsh::test_UPLO, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvalsh::test_invalid, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvalsh::test_types_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvalsh::test_types_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvalsh::test_types_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvalsh::test_types_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEighCases::test_generalized_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEighCases::test_generalized_empty_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEighCases::test_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEighCases::test_empty_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigh::test_0_size, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigh::test_UPLO, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigh::test_invalid, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigh::test_types_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigh::test_types_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigh::test_types_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigh::test_types_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestNorm_NonSystematic::test_intmin, test/torch_np/numpy_tests/linalg/test_linalg.py::TestNormDouble::test_axis, test/torch_np/numpy_tests/linalg/test_linalg.py::TestNormDouble::test_bad_args, test/torch_np/numpy_tests/linalg/test_linalg.py::TestNormDouble::test_empty, test/torch_np/numpy_tests/linalg/test_linalg.py::TestNormDouble::test_keepdims, test/torch_np/numpy_tests/linalg/test_linalg.py::TestNormDouble::test_matrix_2x2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestNormDouble::test_matrix_3x3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestNormDouble::test_matrix_empty, test/torch_np/numpy_tests/linalg/test_linalg.py::TestNormDouble::test_matrix_return_type, test/torch_np/numpy_tests/linalg/test_linalg.py::TestNormDouble::test_vector, test/torch_np/numpy_tests/linalg/test_linalg.py::TestNormDouble::test_vector_return_type, test/torch_np/numpy_tests/linalg/test_linalg.py::TestNormSingle::test_axis, test/torch_np/numpy_tests/linalg/test_linalg.py::TestNormSingle::test_bad_args, test/torch_np/numpy_tests/linalg/test_linalg.py::TestNormSingle::test_empty, test/torch_np/numpy_tests/linalg/test_linalg.py::TestNormSingle::test_keepdims, test/torch_np/numpy_tests/linalg/test_linalg.py::TestNormSingle::test_matrix_2x2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestNormSingle::test_matrix_3x3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestNormSingle::test_matrix_empty, test/torch_np/numpy_tests/linalg/test_linalg.py::TestNormSingle::test_matrix_return_type, test/torch_np/numpy_tests/linalg/test_linalg.py::TestNormSingle::test_vector, test/torch_np/numpy_tests/linalg/test_linalg.py::TestNormSingle::test_vector_return_type, test/torch_np/numpy_tests/linalg/test_linalg.py::TestNormInt64::test_axis, test/torch_np/numpy_tests/linalg/test_linalg.py::TestNormInt64::test_bad_args, test/torch_np/numpy_tests/linalg/test_linalg.py::TestNormInt64::test_empty, test/torch_np/numpy_tests/linalg/test_linalg.py::TestNormInt64::test_keepdims, test/torch_np/numpy_tests/linalg/test_linalg.py::TestNormInt64::test_matrix_2x2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestNormInt64::test_matrix_3x3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestNormInt64::test_matrix_empty, test/torch_np/numpy_tests/linalg/test_linalg.py::TestNormInt64::test_matrix_return_type, test/torch_np/numpy_tests/linalg/test_linalg.py::TestNormInt64::test_vector, test/torch_np/numpy_tests/linalg/test_linalg.py::TestNormInt64::test_vector_return_type, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMatrixRank::test_matrix_rank, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMatrixRank::test_reduced_rank, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMatrixRank::test_symmetric_rank, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_mode_all_but_economic, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_mode_raw, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_qr_empty_m_0_n_0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_qr_empty_m_0_n_3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_qr_empty_m_3_n_0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size0_outer_size0_dt0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size0_outer_size0_dt1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size0_outer_size0_dt2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size0_outer_size0_dt3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size0_outer_size1_dt0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size0_outer_size1_dt1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size0_outer_size1_dt2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size0_outer_size1_dt3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size0_outer_size2_dt0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size0_outer_size2_dt1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size0_outer_size2_dt2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size0_outer_size2_dt3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size1_outer_size0_dt0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size1_outer_size0_dt1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size1_outer_size0_dt2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size1_outer_size0_dt3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size1_outer_size1_dt0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size1_outer_size1_dt1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size1_outer_size1_dt2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size1_outer_size1_dt3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size1_outer_size2_dt0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size1_outer_size2_dt1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size1_outer_size2_dt2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size1_outer_size2_dt3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size2_outer_size0_dt0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size2_outer_size0_dt1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size2_outer_size0_dt2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size2_outer_size0_dt3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size2_outer_size1_dt0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size2_outer_size1_dt1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size2_outer_size1_dt2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size2_outer_size1_dt3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size2_outer_size2_dt0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size2_outer_size2_dt1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size2_outer_size2_dt2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size2_outer_size2_dt3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size3_outer_size0_dt0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size3_outer_size0_dt1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size3_outer_size0_dt2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size3_outer_size0_dt3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size3_outer_size1_dt0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size3_outer_size1_dt1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size3_outer_size1_dt2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size3_outer_size1_dt3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size3_outer_size2_dt0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size3_outer_size2_dt1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size3_outer_size2_dt2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size3_outer_size2_dt3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size4_outer_size0_dt0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size4_outer_size0_dt1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size4_outer_size0_dt2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size4_outer_size0_dt3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size4_outer_size1_dt0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size4_outer_size1_dt1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size4_outer_size1_dt2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size4_outer_size1_dt3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size4_outer_size2_dt0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size4_outer_size2_dt1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size4_outer_size2_dt2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size4_outer_size2_dt3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_0_size, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape0_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape0_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape0_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape0_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape1_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape1_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape1_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape1_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape2_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape2_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape2_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape2_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape3_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape3_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape3_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape3_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape4_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape4_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape4_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape4_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMisc::test_byteorder_check, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMisc::test_generalized_raise_multiloop, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMisc::test_sdot_bug_8577, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMisc::test_xerbla_override, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMultiDot::test_basic_function_with_dynamic_programming_optimization, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMultiDot::test_basic_function_with_three_arguments, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMultiDot::test_basic_function_with_two_arguments, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMultiDot::test_dynamic_programming_logic, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMultiDot::test_dynamic_programming_optimization_and_out, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMultiDot::test_three_arguments_and_out, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMultiDot::test_too_few_input_arrays, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMultiDot::test_two_arguments_and_out, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMultiDot::test_vector_as_first_and_last_argument, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMultiDot::test_vector_as_first_argument, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMultiDot::test_vector_as_last_argument, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorinv::test_non_square_handling_arr0_ind_2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorinv::test_non_square_handling_arr1_ind_1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorinv::test_tensorinv_ind_limit_ind_-2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorinv::test_tensorinv_ind_limit_ind_0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorinv::test_tensorinv_result, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorinv::test_tensorinv_shape_shape0_ind_2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorinv::test_tensorinv_shape_shape1_ind_1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorsolve::test_non_square_handling_a0_axes0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorsolve::test_non_square_handling_a1_axes1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorsolve::test_tensorsolve_result_shape0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorsolve::test_tensorsolve_result_shape1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorsolve::test_tensorsolve_result_shape2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMisc2::test_blas64_dot, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMisc2::test_blas64_geqrf_lwork_smoketest, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMisc2::test_unsupported_commontype
2025-08-14T23:19:58.2322081Z 
2025-08-14T23:20:01.8934632Z /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.
2025-08-14T23:20:01.8936024Z   import pkg_resources
2025-08-14T23:20:02.2497924Z Running test_sparse_csr 2/2 ... [2025-08-14 23:20:02.249363]
2025-08-14T23:20:02.2498541Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:20:02.2500031Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_sparse_csr.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'] ... [2025-08-14 23:20:02.249718]
2025-08-14T23:26:04.0868733Z 
2025-08-14T23:26:04.0871619Z test_ops 6/8 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_6.8_5930910bc1adf0f3_.log
2025-08-14T23:26:04.1838697Z Running 4123 items in this shard: test/test_ops.py::TestCommonCUDA::test_compare_cpu___getitem___cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu___ror___cuda_int64, test/test_ops.py::TestCommonCUDA::test_compare_cpu__batch_norm_with_update_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs__conversions_bool_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs__conversions_int_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_chunk_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_cumsum_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_div_trunc_rounding_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_expand_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_geometric_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_hsplit_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_linalg_norm_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_linalg_svdvals_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_linalg_vector_norm_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_meshgrid_list_of_tensors_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_nn_functional_channel_shuffle_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_nn_functional_margin_ranking_loss_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_nn_functional_pixel_shuffle_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_nn_functional_softmin_with_dtype_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_renorm_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_sum_to_size_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_trace_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_triu_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_xlogy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__segment_reduce_offsets_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__softmax_backward_data_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_cartesian_prod_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_cfloat_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_empty_like_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_eye_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_histc_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_hsplit_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_index_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_int_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_istft_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_compare_cpu_linalg_cholesky_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_linalg_diagonal_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_linalg_householder_product_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_linalg_ldl_solve_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_linalg_norm_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_linalg_pinv_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_log_softmax_with_dtype_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_logdet_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_logspace_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_masked_cumsum_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_masked_log_softmax_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_masked_logsumexp_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_masked_norm_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_matrix_exp_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_min_reduction_with_dim_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_new_zeros_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_avg_pool2d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_binary_cross_entropy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_embedding_bag_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_embedding_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_interpolate_nearest_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_max_pool1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_max_unpool1d_grad_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_normalize_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_pad_replicate_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_pixel_shuffle_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_softmin_with_dtype_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_triplet_margin_loss_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_ormqr_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_quantile_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_rand_like_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_resize__cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_scalar_tensor_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_scatter_reduce_mean_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_scatter_reduce_prod_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_special_chebyshev_polynomial_v_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_split_with_sizes_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_stft_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_t_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_to_sparse_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_topk_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_unsafe_split_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_var_mean_cuda_float32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_H_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_acos_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_chalf_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_diag_embed_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_div_no_rounding_mode_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_fft_fft_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_fft_ifft2_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_linalg_diagonal_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_new_empty_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_pow_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_rand_like_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_reshape_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_rsqrt_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_sinh_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_slice_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_split_with_sizes_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_sub_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_view_as_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_zeros_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_dtypes_T_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes___rpow___cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs__conversions_bfloat16_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs__conversions_bool_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs__conversions_byte_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs__conversions_cdouble_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs__conversions_int_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_abs_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_addcdiv_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_alias_copy_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_as_strided_scatter_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_atleast_1d_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_cosh_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_cumprod_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_deg2rad_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_diagonal_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_empty_like_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_expand_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_fft_hfft2_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_fft_ifftshift_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_fft_rfft_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_float_power_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_ge_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_heaviside_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_igammac_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_isposinf_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_linalg_cross_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_linalg_norm_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_linalg_vecdot_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_log10_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_mean_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_minimum_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_native_layer_norm_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_nn_functional_hardshrink_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_nn_functional_selu_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_pow_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_renorm_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_rot90_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_special_i1_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_special_log_ndtr_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_special_multigammaln_mvlgamma_p_5_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_squeeze_copy_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_tensor_split_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_triu_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_unbind_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_unsqueeze_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_var_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__segment_reduce_lengths_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__softmax_backward_data_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_addbmm_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_addcdiv_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_addmm_decomposed_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_addr_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_atanh_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_cholesky_solve_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_clamp_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_cos_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_cummin_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_diagonal_copy_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_diagonal_scatter_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_einsum_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_fft_fft_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_fft_ifft_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_fft_rfft_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_hsplit_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_imag_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_index_put_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_istft_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_linalg_inv_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_linalg_multi_dot_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_linalg_solve_ex_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_linalg_tensorsolve_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_linspace_tensor_overload_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_mT_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_masked_cumprod_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_masked_cumsum_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_masked_scatter_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_native_layer_norm_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_adaptive_avg_pool3d_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_avg_pool3d_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_batch_norm_without_cudnn_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_conv2d_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_cosine_similarity_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_feature_alpha_dropout_without_train_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_fractional_max_pool3d_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_hardsigmoid_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_hardswish_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_huber_loss_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_interpolate_bilinear_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_interpolate_nearest_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_linear_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_local_response_norm_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_mse_loss_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_multilabel_soft_margin_loss_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_pad_constant_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_pad_replicate_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_pdist_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_silu_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_softmin_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_softshrink_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_softsign_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_tanhshrink_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_triplet_margin_loss_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_triplet_margin_with_distance_loss_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_ones_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_ormqr_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_permute_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_polar_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_put_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_signal_windows_hamming_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_signal_windows_kaiser_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_sin_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_sparse_sampled_addmm_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_special_airy_ai_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_special_bessel_j0_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_special_chebyshev_polynomial_w_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_special_entr_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_special_shifted_chebyshev_polynomial_t_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_special_shifted_chebyshev_polynomial_w_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_split_list_args_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_sum_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_topk_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_trapz_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_trunc_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_unbind_copy_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_unflatten_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_unique_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_unsafe_split_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_vdot_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_view_as_complex_cuda, test/test_ops.py::TestCommonCUDA::test_errors___ror___cuda, test/test_ops.py::TestCommonCUDA::test_errors_add_cuda, test/test_ops.py::TestCommonCUDA::test_errors_empty_permuted_cuda, test/test_ops.py::TestCommonCUDA::test_errors_exponential_cuda, test/test_ops.py::TestCommonCUDA::test_errors_fliplr_cuda, test/test_ops.py::TestCommonCUDA::test_errors_float_power_cuda, test/test_ops.py::TestCommonCUDA::test_errors_ge_cuda, test/test_ops.py::TestCommonCUDA::test_errors_index_select_cuda, test/test_ops.py::TestCommonCUDA::test_errors_logspace_cuda, test/test_ops.py::TestCommonCUDA::test_errors_maximum_cuda, test/test_ops.py::TestCommonCUDA::test_errors_multinomial_cuda, test/test_ops.py::TestCommonCUDA::test_errors_neg_cuda, test/test_ops.py::TestCommonCUDA::test_errors_nn_functional_conv2d_cuda, test/test_ops.py::TestCommonCUDA::test_errors_nn_functional_multilabel_margin_loss_cuda, test/test_ops.py::TestCommonCUDA::test_errors_nn_functional_rrelu_cuda, test/test_ops.py::TestCommonCUDA::test_errors_remainder_cuda, test/test_ops.py::TestCommonCUDA::test_errors_signal_windows_hamming_cuda, test/test_ops.py::TestCommonCUDA::test_errors_sparse_mul_layout3_cuda, test/test_ops.py::TestCommonCUDA::test_errors_sparse_randn_like_layout1_cuda, test/test_ops.py::TestCommonCUDA::test_errors_special_zeta_cuda, test/test_ops.py::TestCommonCUDA::test_errors_t_copy_cuda, test/test_ops.py::TestCommonCUDA::test_errors_take_cuda, test/test_ops.py::TestCommonCUDA::test_errors_uniform_cuda, test/test_ops.py::TestCommonCUDA::test_errors_vsplit_cuda, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch__batch_norm_with_update_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch__native_batch_norm_legit_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_addcdiv_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_addr_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_angle_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_any_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_cat_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_clamp_max_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_cos_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_fft_fftn_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_fft_ifft2_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_fft_irfft2_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_fmod_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_frexp_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_geqrf_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_i0_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_inner_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_ldexp_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_linalg_cond_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_linalg_eigvalsh_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_linalg_householder_product_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_linalg_ldl_factor_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_linalg_matrix_power_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_linspace_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_lt_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_mvlgamma_mvlgamma_p_5_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_nanquantile_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_nn_functional_gelu_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_outer_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_polar_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_renorm_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_round_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_scatter_reduce_prod_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_softmax_with_dtype_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_special_bessel_y0_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_special_chebyshev_polynomial_u_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_special_polygamma_special_polygamma_n_0_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_special_shifted_chebyshev_polynomial_w_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_sub_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_triu_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_T_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices___rxor___cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices__batch_norm_with_update_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices__chunk_cat_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices__native_batch_norm_legit_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_addbmm_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_alias_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_alias_copy_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_argmax_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_argsort_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_atan2_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_bfloat16_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_bfloat16_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_bitwise_not_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_bitwise_or_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_bitwise_xor_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_cdist_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_clamp_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_clone_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_constant_pad_nd_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_constant_pad_nd_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_cummin_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_diag_embed_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_diagflat_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_div_no_rounding_mode_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_dstack_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_erfinv_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_fft_fftshift_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_fft_hfft2_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_fft_rfft_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_fft_rfft_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_float_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_float_power_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_fmax_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_frac_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_frexp_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_full_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_full_like_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_ge_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_geometric_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_geqrf_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_gt_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_hsplit_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_index_add_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_index_reduce_amax_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_index_reduce_amax_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_index_reduce_amin_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_isposinf_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_jiterator_2inputs_2outputs_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_jiterator_unary_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_linalg_eigh_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_linalg_eigvals_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_linalg_ldl_factor_ex_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_linalg_lstsq_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_linalg_matrix_power_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_linalg_pinv_singular_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_linalg_tensorsolve_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_linspace_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_linspace_tensor_overload_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_log_softmax_with_dtype_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_log_softmax_with_dtype_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_lu_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_mT_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_masked_argmin_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_masked_cumsum_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_masked_fill_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_masked_log_softmax_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_masked_median_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_masked_norm_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_median_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_meshgrid_variadic_tensors_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_mm_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_movedim_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nanmean_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nanmedian_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_neg_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_adaptive_avg_pool3d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_conv_transpose3d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_cosine_embedding_loss_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_cross_entropy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_interpolate_nearest_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_margin_ranking_loss_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_max_pool3d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_max_unpool3d_grad_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_nll_loss_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_pad_constant_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_poisson_nll_loss_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_poisson_nll_loss_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_prelu_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_rms_norm_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_upsample_nearest_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_norm_inf_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_ones_like_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_outer_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_polygamma_polygamma_n_1_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_polygamma_polygamma_n_3_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_polygamma_polygamma_n_3_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_randint_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_reciprocal_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_rsqrt_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_sgn_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_sgn_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_signal_windows_gaussian_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_signbit_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_sinc_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_bessel_j1_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_chebyshev_polynomial_t_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_chebyshev_polynomial_u_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_entr_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_entr_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_hermite_polynomial_he_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_i1e_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_legendre_polynomial_p_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_modified_bessel_i0_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_modified_bessel_i0_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_shifted_chebyshev_polynomial_t_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_shifted_chebyshev_polynomial_u_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_shifted_chebyshev_polynomial_w_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_spherical_bessel_j0_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_stft_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_sum_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_to_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_torch_ops_aten__safe_softmax_default_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_trapezoid_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_unbind_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_unfold_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_unique_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_unsqueeze_copy_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_unsqueeze_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_var_cuda_float32, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_all_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_any_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_atleast_3d_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_cummin_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_diagflat_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_empty_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_erf_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_erfinv_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_expand_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_fft_fftshift_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_fft_hfft2_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_fft_ifft2_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_fft_ifft_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_fft_irfft2_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_ge_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_half_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_hsplit_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_index_put_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_index_select_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_isneginf_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_log1p_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_log_softmax_with_dtype_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_msort_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_nn_functional_softsign_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_nn_functional_unfold_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_nonzero_static_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_polygamma_polygamma_n_2_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_rad2deg_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_resize_as__cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_slice_scatter_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_special_bessel_j1_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_special_chebyshev_polynomial_w_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_special_erfcx_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_special_shifted_chebyshev_polynomial_u_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_special_zeta_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_to_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_torch_ops_aten__safe_softmax_default_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_unbind_copy_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_unique_consecutive_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_unsafe_chunk_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_unsqueeze_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_xlogy_cuda_bool, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_H_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples___rdiv___cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples___rdiv___cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples___rdiv___cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples___rmatmul___cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples___rmul___cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples___rmul___cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples__batch_norm_with_update_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples__segment_reduce_lengths_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples__softmax_backward_data_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples__unsafe_masked_index_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_add_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_alias_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_all_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_allclose_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_amax_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_amax_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_amin_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_argwhere_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_as_strided_copy_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_asin_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_bernoulli_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_bfloat16_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_broadcast_tensors_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_broadcast_tensors_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cat_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cdist_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_clamp_max_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_copysign_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_corrcoef_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cosh_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cumsum_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_diag_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_diag_embed_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_diagonal_scatter_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_diagonal_scatter_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_dist_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_div_no_rounding_mode_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_dot_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_dsplit_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_empty_cuda_int64, 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test/test_ops.py::TestCompositeComplianceCUDA::test_operator_round_decimals_neg_3_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_scatter_reduce_amin_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_signal_windows_bartlett_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_signal_windows_exponential_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_signal_windows_general_cosine_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_slice_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_sort_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_special_bessel_y1_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_special_hermite_polynomial_h_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_special_modified_bessel_i1_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_special_shifted_chebyshev_polynomial_u_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_split_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_squeeze_multiple_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_t_copy_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_to_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_trace_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_tril_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_unsafe_split_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_view_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_vsplit_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_xlogy_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_zero__cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay___radd___cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay__chunk_cat_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay__unsafe_masked_index_put_accumulate_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_addcmul_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_amin_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_argmin_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_as_strided_copy_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_bfloat16_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_cdist_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_complex_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_copysign_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_cross_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_diff_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_fliplr_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_fmax_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_frac_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_histc_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_hypot_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_inner_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_jiterator_binary_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_linalg_cholesky_ex_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_linalg_eigvalsh_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_linalg_inv_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_linalg_lu_factor_ex_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_linalg_matrix_norm_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_linalg_norm_subgradients_at_zero_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_linalg_solve_triangular_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_linalg_tensorinv_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_log10_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_logsumexp_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_lu_solve_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_masked_logaddexp_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_masked_prod_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_masked_scatter_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_masked_softmax_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_max_reduction_with_dim_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_median_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_min_reduction_no_dim_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_mul_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_native_dropout_backward_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_adaptive_avg_pool2d_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_glu_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_grid_sample_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_kl_div_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_leaky_relu_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_local_response_norm_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_max_unpool3d_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_pixel_unshuffle_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_pinverse_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_polar_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_polygamma_polygamma_n_0_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_prod_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_remainder_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_round_decimals_0_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_scatter_reduce_mean_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_signal_windows_general_hamming_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_signal_windows_nuttall_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_signbit_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_slice_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_special_airy_ai_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_special_chebyshev_polynomial_t_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_special_laguerre_polynomial_l_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_special_modified_bessel_k0_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_special_modified_bessel_k1_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_special_polygamma_special_polygamma_n_0_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_special_scaled_modified_bessel_k0_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_special_shifted_chebyshev_polynomial_t_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_sqrt_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_sub_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_sum_to_size_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_t_copy_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_tensor_split_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_unbind_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_uniform_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_unique_consecutive_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_unique_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_var_mean_unbiased_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_view_as_cuda_float32, test/test_ops.py::TestMathBitsCUDA::test_conj_view__chunk_cat_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs__conversions_bool_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_acos_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_all_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_asinh_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_atan_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_diagonal_scatter_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_empty_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_eq_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_eye_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_flip_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_hstack_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_isinf_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_linalg_cross_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_log_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_logical_xor_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_logspace_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_mul_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_narrow_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_sigmoid_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_take_along_dim_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_to_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_tril_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_addr_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_alias_copy_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_all_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_asinh_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_cat_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_clone_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_column_stack_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_diagflat_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_eq_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_expand_as_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_fft_fftn_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_fft_ifft2_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_flip_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_index_select_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_inner_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_int_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_linalg_cholesky_ex_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_linalg_eigvalsh_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_linalg_inv_ex_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_linalg_ldl_factor_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_linalg_pinv_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_log_softmax_with_dtype_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_narrow_copy_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_nn_functional_conv2d_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_nn_functional_pixel_unshuffle_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_norm_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_norm_fro_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_reciprocal_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_repeat_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_reshape_as_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_scatter_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_split_list_args_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_split_with_sizes_copy_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_transpose_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_trapezoid_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_view_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_where_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view___rmul___cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view___rpow___cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs__conversions_double_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_acosh_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_asin_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_broadcast_tensors_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_broadcast_to_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_cat_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_conj_physical_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_cumsum_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_expm1_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_fft_ifftshift_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_index_add_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_isfinite_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_isreal_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_linalg_svdvals_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_meshgrid_variadic_tensors_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_narrow_copy_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_nn_functional_pixel_unshuffle_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_norm_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_permute_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_randn_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_sinh_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_squeeze_copy_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_stack_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_tensor_split_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_to_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_unbind_copy_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_vstack_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_all_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_asinh_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_broadcast_to_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_cartesian_prod_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_chalf_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_char_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_cholesky_inverse_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_column_stack_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_constant_pad_nd_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_cosh_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_cov_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_diagflat_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_diff_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_dot_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_empty_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_exp2_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_hsplit_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_linalg_eigh_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_linalg_eigvals_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_linalg_inv_ex_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_linalg_lstsq_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_linalg_multi_dot_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_linalg_norm_subgradients_at_zero_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_linalg_svd_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_log10_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_masked_cumsum_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_meshgrid_list_of_tensors_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_ne_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_nn_functional_conv1d_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_nn_functional_conv_transpose1d_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_nn_functional_pad_circular_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_nn_functional_softsign_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_nonzero_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_positive_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_pow_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_reshape_as_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_reshape_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_select_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_split_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_svd_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_tensor_split_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_triangular_solve_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_unbind_copy_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_var_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_var_unbiased_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_vdot_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_zero__cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_view_T_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view___radd___cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view___rsub___cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs__conversions_cfloat_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs__conversions_int_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_alias_copy_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_all_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_allclose_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_amax_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_as_strided_scatter_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_asin_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_asinh_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_atan2_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_atleast_3d_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_broadcast_to_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_cat_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_count_nonzero_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_dsplit_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_dstack_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_empty_strided_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_fft_fftn_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_fft_ifft2_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_fft_ifftn_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_fft_irfft2_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_float_power_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_index_copy_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_item_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_lerp_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_linalg_svdvals_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_logical_xor_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_new_ones_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_nn_functional_alpha_dropout_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_nn_functional_elu_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_nn_functional_glu_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_nn_functional_hardtanh_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_nn_functional_hinge_embedding_loss_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_nn_functional_layer_norm_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_nn_functional_nll_loss_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_rad2deg_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_rot90_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_rsub_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_select_scatter_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_softmax_with_dtype_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_special_bessel_j1_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_special_entr_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_special_zeta_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_std_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_stft_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_sum_to_size_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_t_copy_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_trunc_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_view_as_complex_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__softmax_backward_data_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__unsafe_masked_index_put_accumulate_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_alias_copy_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_amax_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_as_strided_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_atleast_1d_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_baddbmm_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_cholesky_solve_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_clamp_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_conj_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_cosh_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_cummax_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_double_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_empty_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_fft_hfftn_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_fmax_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_gradient_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_gt_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_hash_tensor_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_histc_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_index_reduce_prod_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_inner_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_isneginf_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_kron_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_linalg_cond_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_linalg_lstsq_grad_oriented_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_linalg_pinv_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_linalg_solve_triangular_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_linalg_svdvals_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_log2_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_log_softmax_with_dtype_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_logical_or_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_logspace_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_logspace_tensor_overload_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_masked_amax_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_masked_cumprod_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_max_binary_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_meshgrid_list_of_tensors_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nan_to_num_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nanmedian_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nanquantile_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nansum_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_neg_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nextafter_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_adaptive_max_pool3d_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_avg_pool1d_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_bilinear_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_gelu_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_hardshrink_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_interpolate_bilinear_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_interpolate_trilinear_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_kl_div_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_layer_norm_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_multi_head_attention_forward_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_multilabel_soft_margin_loss_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_normalize_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_pad_replicate_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_pdist_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_rms_norm_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_silu_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_softmin_with_dtype_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_upsample_nearest_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_polygamma_polygamma_n_2_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_put_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_randint_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_real_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_resolve_neg_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_scatter_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_scatter_reduce_mean_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_select_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_signal_windows_blackman_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_special_bessel_y0_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_special_i0e_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_split_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_squeeze_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_stft_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_sum_to_size_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_svd_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_take_along_dim_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_trapz_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_unflatten_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_var_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_var_mean_unbiased_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_where_cuda_float64, test/test_ops.py::TestFakeTensorCUDA::test_fake___rdiv___cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake___rpow___cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake__batch_norm_with_update_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake__unsafe_masked_index_put_accumulate_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_addcdiv_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_addmm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_addmv_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_argmax_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_argmin_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_argsort_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_as_strided_partial_views_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_atleast_1d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_H_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_add_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_addmv_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_asin_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_bfloat16_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_cat_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_clamp_max_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_complex_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_count_nonzero_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_erf_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_eye_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_fft_fft_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_fft_hfftn_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_fft_ifft2_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_fill_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_item_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_lerp_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_linalg_eigvals_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_linalg_ldl_solve_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_linalg_lstsq_grad_oriented_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_linalg_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_linalg_vander_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_log10_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_logdet_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_logspace_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_masked_amax_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_masked_cumprod_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_masked_mean_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_masked_normalize_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_masked_std_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_masked_var_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_matmul_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_matrix_exp_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_max_reduction_no_dim_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_min_reduction_no_dim_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_narrow_copy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_native_layer_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_batch_norm_without_cudnn_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_cross_entropy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_instance_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_interpolate_trilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_kl_div_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_local_response_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_margin_ranking_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_max_unpool1d_grad_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_max_unpool2d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_max_unpool2d_grad_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_max_unpool3d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_one_hot_cuda_int64, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_pad_constant_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_relu_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_rms_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_softplus_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_norm_fro_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_norm_inf_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_norm_nuc_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_normal_number_mean_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_polygamma_polygamma_n_4_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_put_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_randn_like_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_renorm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_rsqrt_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_scatter_reduce_sum_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_sign_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_signal_windows_bartlett_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_softmax_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_special_bessel_j0_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_special_bessel_y0_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_special_laguerre_polynomial_l_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_special_ndtr_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_special_scaled_modified_bessel_k1_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_sqrt_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_torch_ops_aten__safe_softmax_default_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_triu_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_unbind_copy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_unflatten_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_view_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_zero__cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_bfloat16_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_bitwise_not_cuda_int64, test/test_ops.py::TestFakeTensorCUDA::test_fake_broadcast_tensors_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_cdouble_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_cholesky_solve_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_cosh_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_T_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp___rdiv___cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp___rpow___cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp__softmax_backward_data_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp__unsafe_masked_index_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_addmm_decomposed_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_as_strided_copy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_broadcast_to_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_complex_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_conj_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_cos_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_cummax_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_dist_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_fft_fftshift_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_fft_rfft2_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_flipud_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_float_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_inner_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_lgamma_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_linalg_eig_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_linalg_householder_product_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_linalg_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_linalg_solve_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_linalg_solve_ex_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_logcumsumexp_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_masked_fill_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_masked_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_masked_std_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_msort_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nan_to_num_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nanquantile_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_adaptive_max_pool1d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_avg_pool3d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_binary_cross_entropy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_conv_transpose3d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_cosine_similarity_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_dropout2d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_dropout3d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_feature_alpha_dropout_without_train_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_fractional_max_pool2d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_glu_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_grid_sample_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_hardsigmoid_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_linear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_max_pool3d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_pad_replicate_negative_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_relu_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_rrelu_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_softsign_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_threshold_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_triplet_margin_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_upsample_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_pca_lowrank_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_pinverse_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_polygamma_polygamma_n_3_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_positive_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_quantile_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_real_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_reshape_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_resolve_conj_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_scatter_add_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_sinc_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_sparse_mm_reduce_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_sparse_sampled_addmm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_special_entr_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_special_polygamma_special_polygamma_n_0_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_sqrt_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_square_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_std_mean_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_stft_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_sum_to_size_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_tensor_split_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_tensordot_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_unflatten_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_vsplit_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp___rpow___cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_addmm_decomposed_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_atan_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_atleast_1d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_conj_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_cummax_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_cummin_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_cumsum_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_dist_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_expand_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_fft_hfft2_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_fft_hfftn_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_gradient_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_grid_sampler_2d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_hsplit_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_index_put_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_index_reduce_amin_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_linalg_eigvals_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_linalg_inv_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_linalg_lu_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_logit_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_mH_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_masked_cumprod_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_masked_median_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_masked_prod_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_max_pool2d_with_indices_backward_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_median_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_adaptive_avg_pool1d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_conv_transpose3d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_dropout_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_grid_sample_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_interpolate_bicubic_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_interpolate_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_mish_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_pixel_unshuffle_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_normal_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_pow_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_quantile_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_repeat_interleave_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_reshape_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_slice_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_special_i0e_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_special_ndtr_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_split_with_sizes_copy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_torch_ops_aten__efficient_attention_forward_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_unsqueeze_copy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_view_as_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_cumprod_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_deg2rad_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_dist_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_div_trunc_rounding_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_dsplit_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_empty_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_eq_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_erfc_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_exp_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_fft_fft_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_fft_ihfft2_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_gt_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_i0_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_isnan_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_jiterator_unary_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_kthvalue_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_ldexp_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_linalg_householder_product_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_linalg_ldl_solve_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_linalg_lu_factor_ex_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_linalg_svdvals_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_linspace_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_log_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_logsumexp_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_long_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_lu_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_lu_solve_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_masked_amin_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_masked_cumprod_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_masked_prod_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_masked_std_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_max_pool2d_with_indices_backward_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nanquantile_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_cosine_similarity_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_fractional_max_pool3d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_hardshrink_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_hardswish_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_interpolate_linear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_interpolate_nearest_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_max_pool3d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_max_unpool3d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_multi_head_attention_forward_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_pixel_unshuffle_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_rms_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_silu_complex_cuda_complex64, test/test_ops.py::TestFakeTensorCUDA::test_fake_positive_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_real_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_repeat_interleave_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_rsqrt_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_scatter_reduce_amax_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_searchsorted_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_sigmoid_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_sign_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_signal_windows_general_cosine_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_signbit_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_sinh_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_special_bessel_j0_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_special_entr_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_special_modified_bessel_i1_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_tanh_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_tensor_split_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_to_sparse_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_triangular_solve_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_trunc_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_unsqueeze_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_var_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_var_mean_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_vdot_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_view_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_zero__cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_addmm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_asin_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_asinh_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_atanh_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_bitwise_and_cuda_int64, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_broadcast_shapes_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_broadcast_to_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_cholesky_inverse_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_cholesky_solve_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_clamp_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_clone_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_cov_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_diagonal_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_dot_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_exp_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_exponential_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_eye_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_fft_fft2_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_fft_fft_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_fft_fftn_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_float_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_floor_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_hsplit_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_index_reduce_mean_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_isin_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_isinf_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_jiterator_4inputs_with_extra_args_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_linalg_eigvalsh_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_linalg_inv_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_linalg_lstsq_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_linalg_lu_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_linalg_lu_factor_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_linalg_lu_solve_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_linalg_tensorsolve_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_log10_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_log_normal_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_logical_or_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_logical_xor_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_mH_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_masked_cumprod_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_mul_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_mvlgamma_mvlgamma_p_5_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nanmedian_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_new_empty_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_new_empty_strided_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nextafter_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_adaptive_max_pool3d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_avg_pool3d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_conv_transpose3d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_dropout_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_hardshrink_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_interpolate_nearest-exact_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_max_pool1d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_max_pool3d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_one_hot_cuda_int64, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_selu_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_smooth_l1_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_softmin_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_softsign_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_triplet_margin_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_normal_number_mean_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_prod_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_resolve_neg_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_scatter_reduce_prod_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_short_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_signal_windows_bartlett_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_slice_scatter_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_softmax_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_special_airy_ai_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_special_chebyshev_polynomial_v_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_special_polygamma_special_polygamma_n_0_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_special_shifted_chebyshev_polynomial_u_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_special_xlog1py_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_split_list_args_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_sqrt_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_squeeze_copy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_std_mean_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_std_unbiased_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_sub_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_take_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_transpose_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_true_divide_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_unbind_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_unsafe_chunk_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_view_as_complex_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_view_copy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_where_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_arange_cuda_bfloat16, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_arange_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_linspace_cuda_float64, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_logspace_tensor_overload_cuda_float16, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_logspace_tensor_overload_cuda_int8, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_zeros_cuda_complex64, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_zeros_cuda_float16, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_arange_cuda_bfloat16, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_arange_cuda_uint8, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_full_cuda_float64, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_full_cuda_uint8, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_linspace_cuda_bfloat16, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_logspace_tensor_overload_cuda_complex64, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_logspace_tensor_overload_cuda_int32, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_ones_cuda_float64, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_zeros_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags___rand___cuda_int64, test/test_ops.py::TestTagsCUDA::test_tags___rmul___cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__batch_norm_with_update_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__native_batch_norm_legit_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs__conversions_char_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_addr_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_alias_copy_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_arange_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_as_strided_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_atan_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_block_diag_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_cat_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_clamp_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_clone_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_column_stack_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_contiguous_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_copysign_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_cosh_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_diagonal_scatter_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_div_trunc_rounding_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_empty_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_erf_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_exponential_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_eye_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_fft_hfftn_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_fft_ifftn_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_fmod_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_frac_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_index_copy_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_isnan_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_log2_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_masked_fill_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_mul_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_nan_to_num_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_native_layer_norm_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_nn_functional_hinge_embedding_loss_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_nn_functional_l1_loss_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_nn_functional_layer_norm_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_nn_functional_pixel_shuffle_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_nn_functional_prelu_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_nn_functional_relu_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_nn_functional_smooth_l1_loss_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_nn_functional_softshrink_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_pow_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_prod_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_remainder_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_reshape_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_roll_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_rot90_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_sgn_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_sign_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_special_entr_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_special_log_softmax_with_dtype_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_special_ndtr_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_special_ndtri_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_special_softmax_with_dtype_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_sum_to_size_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_tensor_split_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_triu_indices_cuda_int64, test/test_ops.py::TestTagsCUDA::test_tags__refs_unbind_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_unfold_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_unsqueeze_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_vdot_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__softmax_backward_data_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_abs_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_argmax_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_byte_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_cartesian_prod_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_chalf_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_char_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_cummax_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_cummin_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_cumsum_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_diagflat_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_fft_fft2_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_fft_ihfftn_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_fliplr_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_floor_divide_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_geometric_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_gradient_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_hash_tensor_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_igamma_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_index_put_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_isfinite_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_isposinf_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_jiterator_unary_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_le_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_linalg_eigvalsh_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_linalg_inv_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_linalg_inv_ex_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_linalg_norm_subgradients_at_zero_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_linalg_pinv_singular_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_linalg_svd_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_linalg_vector_norm_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_logical_not_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_lu_unpack_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_masked_scatter_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_max_reduction_no_dim_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_native_dropout_backward_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_new_empty_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_new_ones_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_elu_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_grid_sample_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_instance_norm_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_kl_div_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_max_pool2d_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_max_unpool1d_grad_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_rms_norm_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_unfold_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_normal_number_mean_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_pca_lowrank_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_real_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_reciprocal_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_resize__cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_signal_windows_hann_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_special_chebyshev_polynomial_w_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_special_legendre_polynomial_p_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_special_shifted_chebyshev_polynomial_t_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_sum_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_svd_lowrank_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_t_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_take_along_dim_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_tril_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_unbind_copy_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_unique_consecutive_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_view_as_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_view_as_real_cuda_complex64, test/test_ops.py::TestTagsCUDA::test_tags_view_copy_cuda_float32
2025-08-14T23:26:04.2783363Z 
2025-08-14T23:26:07.8053744Z /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.
2025-08-14T23:26:07.8055207Z   import pkg_resources
2025-08-14T23:27:40.4707841Z 
2025-08-14T23:27:40.4708866Z test_sparse_csr 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_sparse_csr_2.2_2cc845a3fef8b398_.log
2025-08-14T23:27:40.5401626Z Running 2445 items in this shard: test/test_sparse_csr.py::TestSparseCSRCUDA::test_add_SparseCSC_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_add_SparseCSC_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_all_sparse_csr_SparseCSC_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_all_sparse_csr_SparseCSR_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_dense_result_SparseCSC_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_dense_result_SparseCSC_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_dense_result_SparseCSC_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_dense_result_SparseCSC_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_dense_result_SparseCSR_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_errors_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_0_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_0_cuda_float16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_0_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_1_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_25_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_25_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_25_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_25_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_0_n_10_m_0_cuda_complex128, 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test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_addmv_block_size_2_int32_noncontiguous_False_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_addmv_block_size_2_int32_noncontiguous_False_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_addmv_block_size_2_int32_noncontiguous_False_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_addmv_block_size_2_int32_noncontiguous_True_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_addmv_block_size_2_int64_noncontiguous_False_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_addmv_block_size_2_int64_noncontiguous_False_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_addmv_block_size_2_int64_noncontiguous_True_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_addmv_block_size_3_int32_noncontiguous_False_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_addmv_block_size_3_int32_noncontiguous_False_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_addmv_block_size_3_int32_noncontiguous_True_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_addmv_block_size_3_int64_noncontiguous_False_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_addmv_block_size_3_int64_noncontiguous_False_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_addmv_block_size_3_int64_noncontiguous_True_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_addmv_block_size_3_int64_noncontiguous_True_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_triangular_solve_block_size_2_int32_noncontiguous_False_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_triangular_solve_block_size_2_int32_noncontiguous_False_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_triangular_solve_block_size_2_int32_noncontiguous_False_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_triangular_solve_block_size_2_int32_noncontiguous_True_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_triangular_solve_block_size_2_int64_noncontiguous_False_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_triangular_solve_block_size_2_int64_noncontiguous_False_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_triangular_solve_block_size_2_int64_noncontiguous_False_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_triangular_solve_block_size_2_int64_noncontiguous_False_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_triangular_solve_block_size_2_int64_noncontiguous_True_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_triangular_solve_block_size_2_int64_noncontiguous_True_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_triangular_solve_block_size_3_int32_noncontiguous_False_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_triangular_solve_block_size_3_int32_noncontiguous_False_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_triangular_solve_block_size_3_int32_noncontiguous_True_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_triangular_solve_block_size_3_int64_noncontiguous_False_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_triangular_solve_block_size_3_int64_noncontiguous_True_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_triangular_solve_block_size_3_int64_noncontiguous_True_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_bmm_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_bmm_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_compressed_layout_conversions_coverage_SparseBSC_SparseBSC_cuda, test/test_sparse_csr.py::TestSparseCSRCUDA::test_compressed_layout_conversions_coverage_SparseBSC_SparseCSR_cuda, test/test_sparse_csr.py::TestSparseCSRCUDA::test_compressed_layout_conversions_coverage_SparseBSR_SparseBSR_cuda, test/test_sparse_csr.py::TestSparseCSRCUDA::test_compressed_layout_conversions_coverage_SparseBSR_SparseCSC_cuda, test/test_sparse_csr.py::TestSparseCSRCUDA::test_compressed_layout_conversions_coverage_SparseCSC_SparseCSC_cuda, test/test_sparse_csr.py::TestSparseCSRCUDA::test_compressed_layout_conversions_coverage_SparseCSR_SparseBSC_cuda, test/test_sparse_csr.py::TestSparseCSRCUDA::test_compressed_layout_conversions_coverage_SparseCSR_SparseCSC_cuda, test/test_sparse_csr.py::TestSparseCSRCUDA::test_compressed_layout_conversions_coverage_SparseCSR_SparseCSR_cuda, test/test_sparse_csr.py::TestSparseCSRCUDA::test_coo_csr_conversion_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_coo_csr_conversion_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_coo_csr_conversion_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_coo_csr_conversion_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_coo_csr_conversion_cuda_int16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_coo_csr_conversion_cuda_int32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_coo_csr_conversion_cuda_int64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_coo_csr_conversion_cuda_int8, test/test_sparse_csr.py::TestSparseCSRCUDA::test_coo_to_csr_convert_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_csr_coo_conversion_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_csr_coo_conversion_cuda_float16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_csr_coo_conversion_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_csr_coo_conversion_cuda_int16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_csr_coo_conversion_cuda_int8, test/test_sparse_csr.py::TestSparseCSRCUDA::test_csr_matvec_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_csr_matvec_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_csr_matvec_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_csr_matvec_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_csr_storage_cuda, test/test_sparse_csr.py::TestSparseCSRCUDA::test_csr_stride_cuda, test/test_sparse_csr.py::TestSparseCSRCUDA::test_csr_to_block_csr_blocksize_2_cuda_float64_int32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_csr_to_block_csr_blocksize_4_cuda_float64_int64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_dense_to_from_sparse_compressed_SparseBSC_NonBatched_Hybrid_cuda, test/test_sparse_csr.py::TestSparseCSRCUDA::test_dense_to_from_sparse_compressed_SparseBSC_NonBatched_NonHybrid_cuda, test/test_sparse_csr.py::TestSparseCSRCUDA::test_dense_to_from_sparse_compressed_SparseBSR_Batched_NonHybrid_cuda, test/test_sparse_csr.py::TestSparseCSRCUDA::test_dense_to_from_sparse_compressed_SparseBSR_NonBatched_Hybrid_cuda, test/test_sparse_csr.py::TestSparseCSRCUDA::test_dense_to_from_sparse_compressed_SparseBSR_NonBatched_NonHybrid_cuda, test/test_sparse_csr.py::TestSparseCSRCUDA::test_dense_to_from_sparse_compressed_SparseCSC_NonBatched_NonHybrid_cuda, test/test_sparse_csr.py::TestSparseCSRCUDA::test_direct_coo_csr_conversion_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_direct_coo_csr_conversion_cuda_int16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_direct_coo_csr_conversion_cuda_uint8, test/test_sparse_csr.py::TestSparseCSRCUDA::test_exercise_detach_cuda_float16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_exercise_detach_cuda_int16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_exercise_detach_cuda_int32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_exercise_detach_cuda_int8, test/test_sparse_csr.py::TestSparseCSRCUDA::test_matmul_device_mismatch_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_mm_errors_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_mul_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_mul_scalar_enable_hybrid_False_SparseBSC_cuda_bool, test/test_sparse_csr.py::TestSparseCSRCUDA::test_mul_scalar_enable_hybrid_False_SparseBSC_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_mul_scalar_enable_hybrid_False_SparseBSC_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_mul_scalar_enable_hybrid_False_SparseBSC_cuda_float16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_mul_scalar_enable_hybrid_False_SparseBSC_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_mul_scalar_enable_hybrid_False_SparseBSC_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_mul_scalar_enable_hybrid_False_SparseBSC_cuda_int32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_mul_scalar_enable_hybrid_False_SparseBSC_cuda_int64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_mul_scalar_enable_hybrid_False_SparseBSC_cuda_int8, test/test_sparse_csr.py::TestSparseCSRCUDA::test_mul_scalar_enable_hybrid_False_SparseBSC_cuda_uint8, test/test_sparse_csr.py::TestSparseCSRCUDA::test_mul_scalar_enable_hybrid_False_SparseBSR_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_mul_scalar_enable_hybrid_False_SparseBSR_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_mul_scalar_enable_hybrid_False_SparseBSR_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_mul_scalar_enable_hybrid_False_SparseBSR_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_mul_scalar_enable_hybrid_False_SparseBSR_cuda_int8, test/test_sparse_csr.py::TestSparseCSRCUDA::test_mul_scalar_enable_hybrid_False_SparseCSC_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_mul_scalar_enable_hybrid_False_SparseCSC_cuda_bool, test/test_sparse_csr.py::TestSparseCSRCUDA::test_mul_scalar_enable_hybrid_False_SparseCSC_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_mul_scalar_enable_hybrid_False_SparseCSC_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_mul_scalar_enable_hybrid_False_SparseCSC_cuda_float16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_mul_scalar_enable_hybrid_False_SparseCSC_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_mul_scalar_enable_hybrid_False_SparseCSC_cuda_int16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_mul_scalar_enable_hybrid_False_SparseCSC_cuda_int64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_mul_scalar_enable_hybrid_False_SparseCSC_cuda_int8, test/test_sparse_csr.py::TestSparseCSRCUDA::test_mul_scalar_enable_hybrid_False_SparseCSR_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_mul_scalar_enable_hybrid_False_SparseCSR_cuda_bool, test/test_sparse_csr.py::TestSparseCSRCUDA::test_mul_scalar_enable_hybrid_False_SparseCSR_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_mul_scalar_enable_hybrid_False_SparseCSR_cuda_int16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_mul_scalar_enable_hybrid_False_SparseCSR_cuda_int64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_mul_scalar_enable_hybrid_False_SparseCSR_cuda_int8, test/test_sparse_csr.py::TestSparseCSRCUDA::test_resize_as_sparse_compressed_SparseBSC_cuda_bool, test/test_sparse_csr.py::TestSparseCSRCUDA::test_resize_as_sparse_compressed_SparseBSC_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_resize_as_sparse_compressed_SparseBSR_cuda_bool, test/test_sparse_csr.py::TestSparseCSRCUDA::test_resize_as_sparse_compressed_SparseBSR_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_resize_as_sparse_compressed_SparseCSR_cuda_bool, test/test_sparse_csr.py::TestSparseCSRCUDA::test_resize_as_sparse_compressed_SparseCSR_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_resize_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_resize_cuda_bool, test/test_sparse_csr.py::TestSparseCSRCUDA::test_resize_cuda_float16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_resize_cuda_int8, test/test_sparse_csr.py::TestSparseCSRCUDA::test_resize_cuda_uint8, test/test_sparse_csr.py::TestSparseCSRCUDA::test_resize_errors_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_resize_errors_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_resize_errors_cuda_float16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_resize_errors_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_resize_errors_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_resize_errors_cuda_int16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_resize_errors_cuda_int32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_resize_errors_cuda_int8, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sampled_addmm_autograd_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sampled_addmm_autograd_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sampled_addmm_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sampled_addmm_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sampled_addmm_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sampled_addmm_errors_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sampled_addmm_errors_cuda_float64, 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test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_atan_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_atanh_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_atanh_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_atanh_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_atanh_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_atanh_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_ceil_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_ceil_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_ceil_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_ceil_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_ceil_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_ceil_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_conj_physical_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_conj_physical_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_conj_physical_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_conj_physical_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_conj_physical_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_conj_physical_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_deg2rad_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_deg2rad_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_deg2rad_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_deg2rad_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_deg2rad_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_deg2rad_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_erf_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_erf_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_erf_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_erf_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_erfinv_cuda_bool, 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test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_expm1_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_expm1_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_expm1_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_expm1_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_floor_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_floor_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_floor_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_floor_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_frac_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_frac_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_isinf_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_isinf_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_isinf_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_isinf_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_isinf_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_isnan_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_isnan_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_isnan_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_isnan_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_isnan_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_isneginf_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_isneginf_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_isneginf_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_isneginf_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_isneginf_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_isposinf_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_isposinf_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_isposinf_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_isposinf_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_isposinf_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_isposinf_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_log1p_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_log1p_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_log1p_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_amax_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_amax_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_amax_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_amax_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_amax_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_amax_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_amax_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_amin_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_amin_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_amin_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_amin_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_amin_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_mean_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_mean_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_mean_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_mean_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_mean_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_prod_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_prod_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_prod_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_prod_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_prod_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_sum_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_sum_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_sum_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_sum_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_sum_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_mul_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_mul_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_mul_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_mul_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_mul_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_mul_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_mul_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_mul_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_neg_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_neg_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_neg_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_neg_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_neg_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_neg_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_neg_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_neg_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_nn_functional_relu_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_nn_functional_relu_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_nn_functional_relu_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_positive_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_positive_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_positive_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_positive_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_positive_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_positive_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_positive_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_rad2deg_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_rad2deg_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_rad2deg_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_rad2deg_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_rad2deg_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_rad2deg_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_randn_like_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_randn_like_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_randn_like_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_randn_like_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_round_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_round_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_round_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_round_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_round_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_round_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sgn_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sgn_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sgn_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sgn_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sgn_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sgn_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sign_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sign_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sign_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_signbit_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_signbit_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_signbit_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_signbit_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_signbit_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_signbit_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sin_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sin_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sin_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sin_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sin_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sin_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sin_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sin_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sinh_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sinh_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sinh_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sinh_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sinh_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sinh_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sinh_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sinh_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sqrt_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sqrt_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sqrt_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sqrt_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sqrt_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sqrt_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sum_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sum_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sum_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sum_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_tan_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_tan_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_tan_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_tan_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_tan_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_tan_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_tan_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_tanh_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_tanh_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_tanh_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_tanh_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_to_sparse_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_to_sparse_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_to_sparse_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_to_sparse_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_to_sparse_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_to_sparse_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_to_sparse_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_trunc_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_trunc_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_trunc_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_trunc_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_trunc_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_zeros_like_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_zeros_like_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_zeros_like_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_abs_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_abs_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_angle_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_angle_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_angle_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_angle_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_asin_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_asin_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_asin_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_asin_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_asin_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_asin_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_asinh_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_asinh_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_asinh_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_asinh_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_asinh_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_asinh_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_asinh_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_asinh_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_atan_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_atan_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_atan_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_atan_cuda_float16, 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test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_atanh_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_ceil_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_ceil_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_conj_physical_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_conj_physical_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_conj_physical_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_conj_physical_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_conj_physical_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_conj_physical_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_conj_physical_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_conj_physical_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_deg2rad_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_deg2rad_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_deg2rad_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_erf_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_erf_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_erfinv_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_erfinv_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_erfinv_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_erfinv_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_erfinv_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_expm1_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_expm1_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_expm1_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_expm1_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_expm1_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_floor_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_floor_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_floor_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_floor_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_floor_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_frac_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_frac_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_isinf_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_isinf_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_isinf_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_isinf_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_isinf_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_isinf_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_isinf_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_isnan_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_isnan_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_isnan_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_isnan_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_isneginf_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_isneginf_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_isneginf_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_isneginf_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_isposinf_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_isposinf_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_isposinf_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_isposinf_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_log1p_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_log1p_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_log1p_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_log1p_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_log1p_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_log1p_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_log1p_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_log1p_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_log1p_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_log1p_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_masked_amax_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_masked_amax_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_masked_amax_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_masked_amax_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_masked_amax_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_masked_amin_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_masked_amin_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_masked_amin_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_masked_amin_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_masked_mean_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_masked_mean_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_masked_prod_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_masked_prod_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_masked_prod_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_masked_prod_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_masked_prod_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_masked_prod_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_masked_prod_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_masked_sum_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_masked_sum_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_masked_sum_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_masked_sum_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_mul_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_mul_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_mul_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_mul_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_mul_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_mul_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_mul_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_neg_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_neg_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_neg_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_neg_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_neg_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_neg_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_neg_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_neg_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_neg_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_nn_functional_relu_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_nn_functional_relu_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_nn_functional_relu_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_nn_functional_relu_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_nn_functional_relu_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_positive_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_positive_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_positive_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_positive_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_positive_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_positive_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_positive_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_positive_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_positive_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_rad2deg_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_rad2deg_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_rad2deg_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_rad2deg_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_rad2deg_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_randn_like_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_randn_like_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_round_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_round_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_round_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_round_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_round_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sgn_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sgn_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sgn_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sgn_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sgn_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sgn_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sgn_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sign_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sign_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sign_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sign_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_signbit_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_signbit_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_signbit_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_signbit_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_signbit_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sin_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sin_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sin_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sin_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sin_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sinh_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sinh_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sinh_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sinh_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sinh_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sinh_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sinh_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sinh_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sqrt_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sqrt_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sqrt_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sqrt_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sqrt_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sum_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sum_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sum_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sum_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_tan_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_tan_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_tan_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_tan_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_tan_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_tan_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_tan_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_tan_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_tan_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_tanh_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_tanh_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_tanh_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_tanh_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_to_sparse_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_to_sparse_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_to_sparse_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_to_sparse_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_to_sparse_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_trunc_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_trunc_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_zeros_like_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_zeros_like_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_zeros_like_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_zeros_like_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_zeros_like_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_zeros_like_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_zeros_like_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_zeros_like_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_abs_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_abs_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_abs_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_abs_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_abs_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_angle_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_angle_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_angle_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_angle_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_asin_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_asin_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_asin_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_asin_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_asin_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_asin_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_asinh_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_asinh_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_asinh_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_asinh_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_asinh_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_asinh_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_asinh_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_atan_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_atan_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_atan_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_atan_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_atan_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_atanh_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_atanh_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_atanh_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_atanh_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_atanh_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_atanh_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_atanh_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_ceil_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_ceil_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_ceil_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_ceil_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_ceil_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_conj_physical_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_conj_physical_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_conj_physical_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_conj_physical_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_conj_physical_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_conj_physical_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_conj_physical_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_conj_physical_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_conj_physical_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_conj_physical_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_deg2rad_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_deg2rad_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_deg2rad_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_deg2rad_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_erf_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_erf_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_erf_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_erfinv_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_expm1_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_expm1_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_expm1_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_floor_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_floor_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_floor_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_floor_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_floor_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_floor_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_frac_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isinf_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isinf_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isinf_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isinf_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isinf_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isinf_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isnan_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isnan_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isnan_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isnan_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isneginf_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isneginf_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isneginf_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isneginf_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isneginf_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isneginf_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isposinf_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isposinf_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isposinf_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isposinf_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_log1p_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_log1p_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_log1p_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_log1p_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_log1p_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_amax_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_amax_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_amax_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_amax_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_amax_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_amin_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_amin_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_amin_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_amin_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_mean_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_mean_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_mean_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_prod_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_prod_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_prod_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_prod_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_prod_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_prod_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_sum_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_sum_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_sum_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_sum_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_sum_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_sum_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_sum_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_mul_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_mul_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_mul_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_mul_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_mul_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_neg_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_neg_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_neg_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_neg_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_neg_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_neg_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_neg_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_neg_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_neg_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_neg_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_nn_functional_relu_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_nn_functional_relu_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_nn_functional_relu_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_nn_functional_relu_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_nn_functional_relu_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_nn_functional_relu_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_nn_functional_relu_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_nn_functional_relu_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_positive_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_positive_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_positive_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_positive_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_positive_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_positive_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_rad2deg_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_rad2deg_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_rad2deg_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_rad2deg_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_rad2deg_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_randn_like_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_randn_like_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_randn_like_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_randn_like_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_round_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_round_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_round_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sgn_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sgn_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sgn_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sgn_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sgn_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sgn_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sgn_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sign_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sign_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sign_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sign_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_signbit_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_signbit_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_signbit_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sin_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sin_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sin_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sin_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sin_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sin_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sin_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sin_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sin_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sinh_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sinh_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sinh_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sinh_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sqrt_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sqrt_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sqrt_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sqrt_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sqrt_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sum_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sum_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sum_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sum_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_tan_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_tan_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_tan_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_tan_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_tan_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_tan_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_tan_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_tanh_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_tanh_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_tanh_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_tanh_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_tanh_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_tanh_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_tanh_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_tanh_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_to_sparse_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_to_sparse_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_to_sparse_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_to_sparse_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_trunc_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_trunc_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_trunc_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_trunc_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_trunc_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_trunc_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_zeros_like_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_zeros_like_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_zeros_like_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_zeros_like_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_zeros_like_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_abs_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_abs_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_abs_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_abs_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_abs_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_abs_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_abs_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_abs_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_abs_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_abs_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_abs_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_angle_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_angle_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_angle_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_angle_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_angle_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_angle_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_angle_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asin_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asin_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asin_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asin_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asin_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asin_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asinh_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asinh_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_atan_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_atan_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_atan_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_atan_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_atan_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_atan_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_atanh_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_atanh_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_atanh_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_atanh_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_atanh_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_atanh_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_atanh_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_atanh_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_atanh_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_atanh_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_ceil_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_ceil_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_ceil_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_ceil_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_conj_physical_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_conj_physical_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_conj_physical_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_conj_physical_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_deg2rad_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_deg2rad_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_deg2rad_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_erf_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_erf_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_erf_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_erf_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_erf_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_erf_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_erfinv_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_erfinv_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_erfinv_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_erfinv_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_erfinv_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_erfinv_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_erfinv_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_expm1_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_expm1_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_expm1_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_expm1_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_expm1_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_expm1_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_expm1_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_expm1_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_expm1_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_expm1_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_floor_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_floor_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_floor_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_floor_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_floor_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_frac_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_frac_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isinf_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isinf_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isinf_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isinf_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isnan_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isnan_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isnan_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isnan_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isneginf_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isneginf_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isneginf_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isneginf_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isneginf_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isneginf_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isneginf_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isneginf_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isposinf_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isposinf_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isposinf_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isposinf_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_log1p_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_log1p_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_log1p_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_log1p_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_log1p_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_amax_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_amax_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_amax_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_amax_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_amax_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_amin_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_amin_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_amin_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_amin_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_amin_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_mean_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_mean_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_prod_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_prod_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_prod_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_prod_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_sum_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_sum_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_sum_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_sum_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_sum_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_sum_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_mul_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_mul_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_mul_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_mul_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_mul_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_mul_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_mul_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_mul_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_neg_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_neg_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_neg_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_neg_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_neg_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_neg_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_neg_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_neg_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_neg_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_nn_functional_relu_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_nn_functional_relu_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_nn_functional_relu_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_nn_functional_relu_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_positive_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_positive_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_positive_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_positive_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_positive_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_positive_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_positive_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_positive_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_positive_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_rad2deg_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_rad2deg_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_rad2deg_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_rad2deg_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_rad2deg_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_randn_like_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_randn_like_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_randn_like_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_randn_like_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_round_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_round_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_round_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_round_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_round_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sgn_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sgn_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sgn_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sgn_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sign_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sign_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sign_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sign_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sign_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sign_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_signbit_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_signbit_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_signbit_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_signbit_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_signbit_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sin_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sin_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sin_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sin_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sinh_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sinh_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sinh_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sinh_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sinh_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sinh_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sqrt_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sqrt_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sqrt_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sqrt_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sum_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sum_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sum_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sum_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_tan_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_tan_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_tan_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_tan_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_tan_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_tanh_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_tanh_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_tanh_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_tanh_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_tanh_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_tanh_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_tanh_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_tanh_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_to_sparse_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_to_sparse_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_to_sparse_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_to_sparse_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_to_sparse_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_to_sparse_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_trunc_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_trunc_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_trunc_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_trunc_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_zeros_like_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_zeros_like_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_zeros_like_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_zeros_like_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_zeros_like_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseBSC_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseBSC_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseBSC_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseBSC_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseBSC_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseBSR_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseBSR_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseBSR_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseBSR_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseBSR_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseBSR_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseBSR_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseBSR_cuda_int8, 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test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSR_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSR_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSC_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSC_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSC_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSC_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSR_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSR_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSR_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSR_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSR_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSR_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSC_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSC_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSC_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSC_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSC_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSC_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSC_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSC_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSR_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSR_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSR_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSR_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSR_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSC_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSC_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSC_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSC_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSC_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSR_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSR_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSR_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSR_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSR_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSC_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSC_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSC_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSC_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSC_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSC_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSR_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSR_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSR_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSR_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSR_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSR_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseBSC_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseBSC_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseBSC_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseBSC_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseBSC_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseBSC_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseBSC_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseBSR_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseBSR_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseBSR_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseBSR_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseBSR_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseBSR_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseBSR_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseCSC_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseCSC_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseCSC_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseCSC_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseCSR_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseCSR_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseCSR_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseCSR_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseCSR_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseCSR_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseCSR_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseCSR_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseCSR_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseBSC_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseBSC_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseBSC_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseBSC_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseBSC_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseBSR_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseBSR_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseBSR_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseBSR_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseBSR_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseCSC_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseCSC_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseCSC_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseCSC_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseCSC_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseCSC_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseCSC_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseCSR_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseCSR_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseCSR_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseCSR_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseCSR_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseCSR_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseCSR_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseBSC_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseBSC_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseBSC_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseBSC_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseBSC_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseBSC_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseBSR_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseBSR_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseBSR_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseBSR_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseCSC_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseCSC_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseCSC_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseCSC_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseCSC_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseCSR_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseCSR_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseCSR_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseCSR_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseCSR_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseCSR_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_dense_bmm_block_size_16_int64_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_dense_bmm_block_size_16_int64_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_dense_bmm_block_size_16_int64_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_dense_bmm_block_size_32_int32_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_dense_bmm_block_size_32_int32_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_dense_bmm_block_size_32_int32_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_dense_bmm_block_size_32_int64_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_dense_bmm_block_size_32_int64_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_dense_bmm_block_size_64_int32_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_dense_bmm_block_size_64_int32_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_dense_bmm_block_size_64_int64_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_scatter_mm_blocksize_16_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_scatter_mm_blocksize_2_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_scatter_mm_blocksize_2_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_scatter_mm_blocksize_2x3_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_scatter_mm_blocksize_32_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_softmax_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_softmax_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_softmax_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op__int_bsr_dense_addmm_blocksize_16_out_dtype_unspecified_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op__int_bsr_dense_addmm_blocksize_16x32_out_dtype_int32_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op__int_bsr_dense_addmm_blocksize_16x32_out_dtype_int32_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op__int_bsr_dense_addmm_blocksize_16x32_out_dtype_unspecified_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op__int_bsr_dense_addmm_blocksize_16x32_out_dtype_unspecified_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op__int_bsr_dense_addmm_blocksize_16x32_out_dtype_unspecified_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op__int_bsr_dense_addmm_blocksize_16x32_out_dtype_unspecified_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op__int_bsr_dense_addmm_blocksize_32_out_dtype_int32_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op__int_bsr_dense_addmm_blocksize_32_out_dtype_int32_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op__int_bsr_dense_addmm_blocksize_32_out_dtype_unspecified_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op__int_bsr_dense_addmm_blocksize_32_out_dtype_unspecified_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_addmm_blocksize_16_out_dtype_int32_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_addmm_blocksize_16_out_dtype_int32_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_addmm_blocksize_16_out_dtype_int32_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_addmm_blocksize_16x32_out_dtype_int32_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_addmm_blocksize_16x32_out_dtype_int32_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_addmm_blocksize_16x32_out_dtype_int32_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_addmm_blocksize_32_out_dtype_int32_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_addmm_blocksize_32_out_dtype_int32_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_addmm_blocksize_32_out_dtype_int32_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_addmm_blocksize_32_out_dtype_unspecified_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_addmm_blocksize_32_out_dtype_unspecified_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_linear_blocksize_16_out_dtype_int32_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_linear_blocksize_16_out_dtype_int32_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_linear_blocksize_16_out_dtype_unspecified_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_linear_blocksize_16_out_dtype_unspecified_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_linear_blocksize_16_out_dtype_unspecified_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_linear_blocksize_16x32_out_dtype_int32_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_linear_blocksize_16x32_out_dtype_int32_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_linear_blocksize_16x32_out_dtype_unspecified_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_linear_blocksize_32_out_dtype_int32_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_linear_blocksize_32_out_dtype_unspecified_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_linear_blocksize_32_out_dtype_unspecified_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_mm_blocksize_16_out_dtype_int32_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_mm_blocksize_16_out_dtype_int32_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_mm_blocksize_16_out_dtype_int32_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_mm_blocksize_16_out_dtype_unspecified_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_mm_blocksize_16x32_out_dtype_int32_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_mm_blocksize_16x32_out_dtype_unspecified_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_mm_blocksize_16x32_out_dtype_unspecified_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_mm_blocksize_32_out_dtype_int32_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_mm_blocksize_32_out_dtype_int32_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_mm_blocksize_32_out_dtype_unspecified_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_mm_blocksize_32_out_dtype_unspecified_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_sampled_addmm_block_size_64_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_sampled_addmm_block_size_64_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_sampled_addmm_block_size_64_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_scaled_dot_product_attention_block_size_16_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_scaled_dot_product_attention_block_size_32_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_scaled_dot_product_attention_block_size_32_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_scaled_dot_product_attention_block_size_64_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_scaled_dot_product_attention_block_size_64_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_scatter_mm_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_tune_op__int_bsr_dense_addmm_out_dtype_int32_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_tune_op__int_bsr_dense_addmm_out_dtype_int32_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_tune_op__int_bsr_dense_addmm_out_dtype_int32_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_tune_op__int_bsr_dense_addmm_out_dtype_int32_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_tune_op__int_bsr_dense_addmm_out_dtype_unspecified_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_tune_op_bsr_dense_addmm_out_dtype_int32_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_tune_op_bsr_dense_addmm_out_dtype_int32_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_tune_op_bsr_dense_addmm_out_dtype_unspecified_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_tune_op_bsr_dense_addmm_out_dtype_unspecified_cuda_int8
2025-08-14T23:27:40.6074933Z 
2025-08-14T23:27:44.0982438Z /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.
2025-08-14T23:27:44.0984813Z   import pkg_resources
2025-08-14T23:31:29.7414695Z 
2025-08-14T23:31:29.7415515Z test_sparse_csr 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_sparse_csr_1.2_2faa3fed067a952f_.log
2025-08-14T23:31:29.8154654Z Running 2575 items in this shard: test/test_sparse_csr.py::TestSparseCSRSampler::test_make_crow_indices, test/test_sparse_csr.py::TestSparseCSRCUDA::test_add_SparseCSR_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_add_SparseCSR_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_all_sparse_csr_SparseCSC_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_all_sparse_csr_SparseCSC_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_all_sparse_csr_SparseCSC_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_all_sparse_csr_SparseCSC_cuda_float16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_all_sparse_csr_SparseCSC_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_all_sparse_csr_SparseCSR_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_all_sparse_csr_SparseCSR_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_all_sparse_csr_SparseCSR_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_all_sparse_csr_SparseCSR_cuda_float16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_all_sparse_csr_SparseCSR_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_dense_result_SparseCSR_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_dense_result_SparseCSR_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_dense_result_SparseCSR_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_0_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_0_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_0_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_1_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_1_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_1_cuda_float16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_1_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_1_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_25_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_25_cuda_float16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_0_n_10_m_0_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_0_n_10_m_1_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_0_n_10_m_25_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_0_n_10_m_25_cuda_float16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_0_n_10_m_25_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_0_n_1_m_0_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_0_n_1_m_0_cuda_float16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_0_n_1_m_1_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_0_n_1_m_1_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_0_n_1_m_25_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_0_m_0_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_0_m_0_cuda_float16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_0_m_1_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_0_m_25_cuda_float16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_0_m_25_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_10_m_0_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_10_m_0_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_10_m_0_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_10_m_1_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_10_m_1_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_10_m_25_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_10_m_25_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_10_m_25_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_10_m_25_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_1_m_0_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_1_m_0_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_1_m_0_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_1_m_1_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_1_m_1_cuda_float16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_1_m_1_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_1_m_25_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_1_m_25_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_1_m_25_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_1_m_25_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_1_m_25_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_8_n_0_m_0_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_8_n_0_m_0_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_8_n_0_m_1_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_8_n_0_m_1_cuda_complex128, 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test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_8_n_10_m_1_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_8_n_10_m_1_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_8_n_10_m_1_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_8_n_10_m_25_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_8_n_10_m_25_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_8_n_10_m_25_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_8_n_10_m_25_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_8_n_1_m_0_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_8_n_1_m_0_cuda_complex64, 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test/test_sparse_csr.py::TestSparseCSRCUDA::test_autograd_sparse_csr_unary_isinf_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_autograd_sparse_csr_unary_isinf_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_autograd_sparse_csr_unary_isnan_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_autograd_sparse_csr_unary_isposinf_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_autograd_sparse_csr_unary_log1p_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_autograd_sparse_csr_unary_log1p_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_autograd_sparse_csr_unary_neg_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_autograd_sparse_csr_unary_nn_functional_relu_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_autograd_sparse_csr_unary_round_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_autograd_sparse_csr_unary_sign_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_autograd_sparse_csr_unary_sinh_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_autograd_sparse_csr_unary_sqrt_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_autograd_sparse_csr_unary_sqrt_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_autograd_sparse_csr_unary_tan_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_autograd_sparse_csr_unary_tan_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_autograd_sparse_csr_unary_tanh_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_autograd_sparse_csr_unary_tanh_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_baddbmm_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_addmm_block_size_2_int32_noncontiguous_False_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_addmm_block_size_2_int32_noncontiguous_False_cuda_complex128, 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test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_addmv_block_size_2_int64_noncontiguous_False_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_addmv_block_size_2_int64_noncontiguous_False_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_addmv_block_size_2_int64_noncontiguous_True_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_addmv_block_size_2_int64_noncontiguous_True_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_addmv_block_size_2_int64_noncontiguous_True_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_addmv_block_size_3_int32_noncontiguous_False_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_addmv_block_size_3_int32_noncontiguous_False_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_addmv_block_size_3_int32_noncontiguous_True_cuda_complex64, 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test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_triangular_solve_block_size_2_int32_noncontiguous_True_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_triangular_solve_block_size_2_int32_noncontiguous_True_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_triangular_solve_block_size_2_int64_noncontiguous_True_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_triangular_solve_block_size_2_int64_noncontiguous_True_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_triangular_solve_block_size_3_int32_noncontiguous_False_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_triangular_solve_block_size_3_int32_noncontiguous_False_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_triangular_solve_block_size_3_int32_noncontiguous_True_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_triangular_solve_block_size_3_int32_noncontiguous_True_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_triangular_solve_block_size_3_int32_noncontiguous_True_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_triangular_solve_block_size_3_int64_noncontiguous_False_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_triangular_solve_block_size_3_int64_noncontiguous_False_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_triangular_solve_block_size_3_int64_noncontiguous_False_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_triangular_solve_block_size_3_int64_noncontiguous_True_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_block_triangular_solve_block_size_3_int64_noncontiguous_True_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_bmm_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_bmm_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_compressed_layout_conversions_coverage_SparseBSC_SparseBSR_cuda, test/test_sparse_csr.py::TestSparseCSRCUDA::test_compressed_layout_conversions_coverage_SparseBSC_SparseCSC_cuda, test/test_sparse_csr.py::TestSparseCSRCUDA::test_compressed_layout_conversions_coverage_SparseBSR_SparseBSC_cuda, test/test_sparse_csr.py::TestSparseCSRCUDA::test_compressed_layout_conversions_coverage_SparseBSR_SparseCSR_cuda, test/test_sparse_csr.py::TestSparseCSRCUDA::test_compressed_layout_conversions_coverage_SparseCSC_SparseBSC_cuda, test/test_sparse_csr.py::TestSparseCSRCUDA::test_compressed_layout_conversions_coverage_SparseCSC_SparseBSR_cuda, test/test_sparse_csr.py::TestSparseCSRCUDA::test_compressed_layout_conversions_coverage_SparseCSC_SparseCSR_cuda, test/test_sparse_csr.py::TestSparseCSRCUDA::test_compressed_layout_conversions_coverage_SparseCSR_SparseBSR_cuda, test/test_sparse_csr.py::TestSparseCSRCUDA::test_coo_csr_conversion_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_coo_csr_conversion_cuda_bool, test/test_sparse_csr.py::TestSparseCSRCUDA::test_coo_csr_conversion_cuda_float16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_coo_csr_conversion_cuda_uint8, test/test_sparse_csr.py::TestSparseCSRCUDA::test_csr_coo_conversion_cuda_bool, test/test_sparse_csr.py::TestSparseCSRCUDA::test_csr_coo_conversion_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_csr_coo_conversion_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_csr_coo_conversion_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_csr_coo_conversion_cuda_int32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_csr_coo_conversion_cuda_int64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_csr_coo_conversion_cuda_uint8, test/test_sparse_csr.py::TestSparseCSRCUDA::test_csr_double_to_sparse_csr_cuda, test/test_sparse_csr.py::TestSparseCSRCUDA::test_csr_is_contiguous_cuda, test/test_sparse_csr.py::TestSparseCSRCUDA::test_csr_matvec_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_csr_matvec_cuda_float16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_csr_nnz_cuda, test/test_sparse_csr.py::TestSparseCSRCUDA::test_csr_to_block_csr_blocksize_2_cuda_float64_int64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_csr_to_block_csr_blocksize_4_cuda_float64_int32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_csr_to_block_csr_errors_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_dense_to_from_sparse_compressed_SparseBSC_Batched_Hybrid_cuda, test/test_sparse_csr.py::TestSparseCSRCUDA::test_dense_to_from_sparse_compressed_SparseBSC_Batched_NonHybrid_cuda, test/test_sparse_csr.py::TestSparseCSRCUDA::test_dense_to_from_sparse_compressed_SparseBSR_Batched_Hybrid_cuda, test/test_sparse_csr.py::TestSparseCSRCUDA::test_dense_to_from_sparse_compressed_SparseCSC_Batched_Hybrid_cuda, 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test/test_sparse_csr.py::TestSparseCSRCUDA::test_direct_coo_csr_conversion_cuda_int32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_direct_coo_csr_conversion_cuda_int64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_direct_coo_csr_conversion_cuda_int8, test/test_sparse_csr.py::TestSparseCSRCUDA::test_exercise_detach_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_exercise_detach_cuda_bool, test/test_sparse_csr.py::TestSparseCSRCUDA::test_exercise_detach_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_exercise_detach_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_exercise_detach_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_exercise_detach_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_exercise_detach_cuda_int64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_exercise_detach_cuda_uint8, test/test_sparse_csr.py::TestSparseCSRCUDA::test_linalg_solve_sparse_csr_cusolver_cuda_float32, 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test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_sum_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_sum_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_mul_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_mul_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_mul_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_mul_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_mul_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_neg_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_neg_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_neg_cuda_int8, 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test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_angle_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_asin_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_asin_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_asin_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_asin_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_asin_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_asin_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_asin_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_asinh_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_asinh_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_asinh_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_asinh_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_asinh_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_atan_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_atan_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_atan_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_atan_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_atanh_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_atanh_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_atanh_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_atanh_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_atanh_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_atanh_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_atanh_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_ceil_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_ceil_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_ceil_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_ceil_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_ceil_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_ceil_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_ceil_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_conj_physical_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_conj_physical_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_conj_physical_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_conj_physical_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_conj_physical_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_deg2rad_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_deg2rad_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_deg2rad_cuda_float16, 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test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_erf_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_erf_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_erfinv_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_erfinv_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_erfinv_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_erfinv_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_erfinv_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_expm1_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_expm1_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_expm1_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_expm1_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_expm1_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_expm1_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_expm1_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_floor_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_floor_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_floor_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_floor_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_frac_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_frac_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_isinf_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_isinf_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_isinf_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_isinf_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_isinf_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_isinf_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_isnan_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_isnan_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_isnan_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_isnan_cuda_float64, 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test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sgn_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sgn_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sgn_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sgn_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sign_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sign_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sign_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sign_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sign_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sign_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_signbit_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_signbit_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_signbit_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_signbit_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_signbit_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sin_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sin_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sin_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sin_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sin_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sin_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sin_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sin_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sinh_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sinh_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sinh_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sinh_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sinh_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sqrt_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sqrt_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sqrt_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sqrt_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sqrt_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sqrt_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sqrt_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sqrt_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sum_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sum_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sum_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sum_cuda_complex64, 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test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_tanh_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_tanh_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_tanh_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_tanh_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_tanh_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_tanh_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_tanh_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_tanh_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_to_sparse_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_to_sparse_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_to_sparse_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_to_sparse_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_to_sparse_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_to_sparse_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_to_sparse_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_trunc_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_trunc_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_trunc_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_trunc_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_trunc_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_trunc_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_trunc_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_zeros_like_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_zeros_like_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_zeros_like_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_zeros_like_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_zeros_like_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_abs_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_abs_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_abs_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_abs_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_abs_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_abs_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_abs_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_abs_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_angle_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_angle_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_angle_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_angle_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_angle_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_angle_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_angle_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_asin_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_asin_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_asin_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_asin_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_asin_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_asin_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_asin_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_asinh_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_asinh_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_asinh_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_asinh_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_asinh_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_asinh_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_atan_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_atan_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_atan_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_atan_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_atan_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_atan_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_atan_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_atan_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_atanh_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_atanh_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_atanh_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_atanh_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_atanh_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_atanh_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_ceil_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_ceil_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_ceil_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_ceil_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_conj_physical_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_conj_physical_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_conj_physical_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_deg2rad_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_deg2rad_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_deg2rad_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_deg2rad_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_deg2rad_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_deg2rad_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_erf_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_erf_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_erf_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_erf_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_erf_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_erf_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_erf_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_erfinv_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_erfinv_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_erfinv_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_erfinv_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_erfinv_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_erfinv_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_erfinv_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_erfinv_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_erfinv_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_expm1_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_expm1_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_expm1_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_expm1_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_expm1_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_expm1_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_expm1_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_expm1_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_expm1_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_floor_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_floor_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_floor_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_frac_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_frac_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_frac_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isinf_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isinf_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isinf_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isinf_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isinf_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isinf_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isinf_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isnan_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isnan_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isnan_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isnan_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isnan_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isnan_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isnan_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isnan_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isneginf_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isneginf_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isneginf_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isneginf_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isposinf_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isposinf_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isposinf_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isposinf_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isposinf_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isposinf_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_log1p_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_log1p_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_log1p_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_log1p_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_log1p_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_log1p_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_log1p_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_amax_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_amax_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_amax_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_amax_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_amin_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_amin_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_amin_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_amin_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_amin_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_mean_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_mean_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_mean_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_prod_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_prod_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_prod_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_prod_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_prod_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_prod_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_sum_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_sum_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_sum_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_sum_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_sum_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_mul_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_mul_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_mul_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_mul_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_mul_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_mul_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_mul_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_mul_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_neg_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_neg_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_nn_functional_relu_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_positive_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_positive_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_positive_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_positive_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_positive_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_positive_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_rad2deg_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_rad2deg_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_rad2deg_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_rad2deg_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_rad2deg_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_randn_like_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_randn_like_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_randn_like_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_round_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_round_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_round_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_round_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_round_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_round_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sgn_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sgn_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sgn_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sgn_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sgn_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sgn_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sign_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sign_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sign_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sign_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sign_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sign_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_signbit_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_signbit_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_signbit_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_signbit_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_signbit_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_signbit_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_signbit_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sin_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sin_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sin_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sin_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sinh_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sinh_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sinh_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sinh_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sinh_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sinh_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sinh_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sinh_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sinh_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sqrt_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sqrt_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sqrt_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sqrt_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sqrt_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sqrt_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sqrt_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sqrt_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sum_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sum_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sum_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sum_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sum_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sum_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sum_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sum_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sum_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_tan_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_tan_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_tan_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_tan_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_tan_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_tan_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_tanh_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_tanh_cuda_bool, 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test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_to_sparse_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_to_sparse_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_trunc_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_trunc_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_trunc_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_zeros_like_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_zeros_like_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_zeros_like_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_zeros_like_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_zeros_like_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_zeros_like_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_zeros_like_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_zeros_like_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_abs_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_abs_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_angle_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_angle_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_angle_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_angle_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asin_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asin_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asin_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asin_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asin_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asin_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asin_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asinh_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asinh_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asinh_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asinh_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asinh_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asinh_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asinh_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asinh_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asinh_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asinh_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asinh_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_atan_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_atan_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_atan_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_atan_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_atan_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_atan_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_atan_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_atanh_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_atanh_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_atanh_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_ceil_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_ceil_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_ceil_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_ceil_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_ceil_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_conj_physical_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_conj_physical_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_conj_physical_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_conj_physical_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_conj_physical_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_conj_physical_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_conj_physical_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_conj_physical_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_conj_physical_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_deg2rad_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_deg2rad_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_deg2rad_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_deg2rad_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_deg2rad_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_deg2rad_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_deg2rad_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_erf_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_erf_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_erf_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_erf_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_erfinv_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_erfinv_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_erfinv_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_expm1_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_expm1_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_floor_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_floor_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_floor_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_floor_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_frac_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_frac_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isinf_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isinf_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isinf_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isinf_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isinf_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isinf_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isinf_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isinf_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isinf_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isnan_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isnan_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isnan_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isnan_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isnan_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isnan_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isnan_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isnan_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isneginf_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isneginf_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isposinf_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isposinf_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isposinf_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isposinf_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isposinf_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isposinf_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_log1p_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_log1p_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_log1p_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_log1p_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_log1p_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_log1p_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_log1p_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_amax_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_amax_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_amax_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_amax_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_amin_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_amin_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_amin_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_amin_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_mean_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_mean_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_mean_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_mean_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_prod_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_prod_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_prod_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_prod_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_prod_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_prod_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_prod_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_prod_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_sum_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_sum_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_sum_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_sum_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_sum_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_sum_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_mul_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_mul_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_mul_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_mul_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_mul_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_neg_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_neg_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_neg_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_nn_functional_relu_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_nn_functional_relu_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_nn_functional_relu_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_nn_functional_relu_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_nn_functional_relu_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_positive_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_positive_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_positive_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_rad2deg_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_rad2deg_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_rad2deg_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_rad2deg_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_rad2deg_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_randn_like_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_randn_like_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_randn_like_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_round_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_round_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_round_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_round_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sgn_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sgn_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sgn_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sgn_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sgn_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sgn_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sgn_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sgn_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sgn_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sign_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sign_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sign_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sign_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_signbit_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_signbit_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_signbit_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_signbit_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_signbit_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sin_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sin_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sin_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sin_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sin_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sin_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sin_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sin_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sin_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sinh_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sinh_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sinh_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sinh_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sinh_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sinh_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sinh_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sqrt_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sqrt_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sqrt_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sqrt_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sqrt_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sqrt_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sqrt_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sqrt_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sqrt_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sum_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sum_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sum_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sum_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sum_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sum_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sum_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sum_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sum_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_tan_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_tan_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_tan_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_tan_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_tan_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_tan_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_tan_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_tan_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_tanh_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_tanh_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_tanh_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_tanh_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_tanh_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_to_sparse_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_to_sparse_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_to_sparse_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_to_sparse_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_to_sparse_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_to_sparse_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_trunc_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_trunc_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_trunc_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_trunc_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_trunc_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_zeros_like_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_zeros_like_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_zeros_like_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_zeros_like_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_zeros_like_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_zeros_like_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_zeros_like_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_zeros_like_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseBSC_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseBSC_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseBSC_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseBSC_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseBSC_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseBSC_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseBSC_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseBSR_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseBSR_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseBSR_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseBSR_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseCSC_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseCSC_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseCSC_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseCSC_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseCSC_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseCSC_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseCSC_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseCSC_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseCSR_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseCSR_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseCSR_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseCSR_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseCSR_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseCSR_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseBSC_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseBSC_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseBSC_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseBSC_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseBSC_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseBSC_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseBSC_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseBSC_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseBSR_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseBSR_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseBSR_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseBSR_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseBSR_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseBSR_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseBSR_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseBSR_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseCSC_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseCSC_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseCSC_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseCSC_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseCSC_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseCSC_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseCSR_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseCSR_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseCSR_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseCSR_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseCSR_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseCSR_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseCSR_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_empty_SparseCSC_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_empty_SparseCSC_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_empty_SparseCSC_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_empty_SparseCSR_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_empty_SparseCSR_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_empty_SparseCSR_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_empty_SparseCSR_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_empty_SparseCSR_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_empty_SparseCSR_cuda_float64, 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test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSC_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSC_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSC_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSC_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSC_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSC_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSR_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSR_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSR_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSR_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSR_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSR_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSC_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSC_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSC_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSC_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSR_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSR_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSR_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSR_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSR_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSR_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSR_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSC_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSC_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSC_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSC_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSC_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSC_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSC_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSR_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSR_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSR_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSR_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSR_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSR_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSR_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSC_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSC_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSC_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSC_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSC_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSC_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSR_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSR_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSR_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSR_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSR_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSR_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseBSC_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseBSC_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseBSC_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseBSC_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseBSC_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseBSR_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseBSR_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseBSR_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseBSR_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseBSR_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseCSC_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseCSC_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseCSC_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseCSC_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseCSC_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseCSC_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseCSC_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseCSC_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseCSR_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseCSR_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseCSR_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseBSC_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseBSC_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseBSC_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseBSC_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseBSC_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseBSC_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseBSC_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseBSR_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseBSR_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseBSR_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseBSR_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseBSR_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseBSR_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseBSR_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseCSC_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseCSC_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseCSC_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseCSC_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseCSC_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseCSR_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseCSR_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseCSR_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseCSR_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseCSR_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseBSC_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseBSC_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseBSC_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseBSC_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseBSC_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseBSC_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseBSR_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseBSR_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseBSR_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseBSR_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseBSR_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseBSR_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseBSR_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseBSR_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseCSC_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseCSC_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseCSC_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseCSC_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseCSC_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseCSC_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseCSC_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseCSR_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseCSR_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseCSR_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseCSR_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseCSR_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseCSR_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_TensorAsKey_cuda, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_dense_addmm_meta_cuda, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_dense_bmm_block_size_16_int32_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_dense_bmm_block_size_16_int32_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_dense_bmm_block_size_16_int32_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_dense_bmm_block_size_32_int64_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_dense_bmm_block_size_64_int32_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_dense_bmm_block_size_64_int64_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_dense_bmm_block_size_64_int64_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_dense_bmm_error_messages_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_scatter_mm_blocksize_16_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_scatter_mm_blocksize_16_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_scatter_mm_blocksize_16x32_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_scatter_mm_blocksize_16x32_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_scatter_mm_blocksize_16x32_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_scatter_mm_blocksize_2_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_scatter_mm_blocksize_2x3_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_scatter_mm_blocksize_2x3_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_scatter_mm_blocksize_32_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_scatter_mm_blocksize_32_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_scatter_mm_blocksize_64_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_scatter_mm_blocksize_64_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_scatter_mm_blocksize_64_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op__int_bsr_dense_addmm_blocksize_16_out_dtype_int32_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op__int_bsr_dense_addmm_blocksize_16_out_dtype_int32_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op__int_bsr_dense_addmm_blocksize_16_out_dtype_int32_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op__int_bsr_dense_addmm_blocksize_16_out_dtype_int32_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op__int_bsr_dense_addmm_blocksize_16_out_dtype_unspecified_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op__int_bsr_dense_addmm_blocksize_16_out_dtype_unspecified_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op__int_bsr_dense_addmm_blocksize_16_out_dtype_unspecified_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op__int_bsr_dense_addmm_blocksize_16x32_out_dtype_int32_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op__int_bsr_dense_addmm_blocksize_16x32_out_dtype_int32_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op__int_bsr_dense_addmm_blocksize_32_out_dtype_int32_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op__int_bsr_dense_addmm_blocksize_32_out_dtype_int32_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op__int_bsr_dense_addmm_blocksize_32_out_dtype_unspecified_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op__int_bsr_dense_addmm_blocksize_32_out_dtype_unspecified_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_addmm_blocksize_16_out_dtype_int32_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_addmm_blocksize_16_out_dtype_unspecified_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_addmm_blocksize_16_out_dtype_unspecified_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_addmm_blocksize_16_out_dtype_unspecified_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_addmm_blocksize_16_out_dtype_unspecified_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_addmm_blocksize_16x32_out_dtype_int32_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_addmm_blocksize_16x32_out_dtype_unspecified_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_addmm_blocksize_16x32_out_dtype_unspecified_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_addmm_blocksize_16x32_out_dtype_unspecified_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_addmm_blocksize_16x32_out_dtype_unspecified_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_addmm_blocksize_32_out_dtype_int32_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_addmm_blocksize_32_out_dtype_unspecified_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_addmm_blocksize_32_out_dtype_unspecified_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_linear_blocksize_16_out_dtype_int32_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_linear_blocksize_16_out_dtype_int32_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_linear_blocksize_16_out_dtype_unspecified_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_linear_blocksize_16x32_out_dtype_int32_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_linear_blocksize_16x32_out_dtype_int32_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_linear_blocksize_16x32_out_dtype_unspecified_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_linear_blocksize_16x32_out_dtype_unspecified_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_linear_blocksize_16x32_out_dtype_unspecified_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_linear_blocksize_32_out_dtype_int32_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_linear_blocksize_32_out_dtype_int32_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_linear_blocksize_32_out_dtype_int32_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_linear_blocksize_32_out_dtype_unspecified_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_linear_blocksize_32_out_dtype_unspecified_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_mm_blocksize_16_out_dtype_int32_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_mm_blocksize_16_out_dtype_unspecified_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_mm_blocksize_16_out_dtype_unspecified_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_mm_blocksize_16_out_dtype_unspecified_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_mm_blocksize_16x32_out_dtype_int32_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_mm_blocksize_16x32_out_dtype_int32_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_mm_blocksize_16x32_out_dtype_int32_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_mm_blocksize_16x32_out_dtype_unspecified_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_mm_blocksize_16x32_out_dtype_unspecified_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_mm_blocksize_32_out_dtype_int32_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_mm_blocksize_32_out_dtype_int32_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_mm_blocksize_32_out_dtype_unspecified_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_mm_blocksize_32_out_dtype_unspecified_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_sampled_addmm_block_size_16_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_sampled_addmm_block_size_16_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_sampled_addmm_block_size_16_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_sampled_addmm_block_size_32_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_sampled_addmm_block_size_32_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_sampled_addmm_block_size_32_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_scaled_dot_product_attention_block_size_16_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_scaled_dot_product_attention_block_size_16_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_scaled_dot_product_attention_block_size_32_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_scaled_dot_product_attention_block_size_64_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_scatter_mm_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_scatter_mm_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_tune_op__int_bsr_dense_addmm_out_dtype_unspecified_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_tune_op__int_bsr_dense_addmm_out_dtype_unspecified_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_tune_op__int_bsr_dense_addmm_out_dtype_unspecified_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_tune_op_bsr_dense_addmm_out_dtype_int32_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_tune_op_bsr_dense_addmm_out_dtype_int32_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_tune_op_bsr_dense_addmm_out_dtype_unspecified_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_tune_op_bsr_dense_addmm_out_dtype_unspecified_cuda_float32
2025-08-14T23:31:29.8872358Z 
2025-08-14T23:31:30.8078573Z Running test batch 'tests to run' cost 6733.05 seconds
2025-08-14T23:31:31.8801592Z 
2025-08-14T23:31:31.8802381Z real	112m18.485s
2025-08-14T23:31:31.8802677Z user	210m36.192s
2025-08-14T23:31:31.8802885Z sys	20m59.132s
2025-08-14T23:31:31.8803109Z + assert_git_not_dirty
2025-08-14T23:31:31.8803418Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *rocm* ]]
2025-08-14T23:31:31.8803789Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *xla* ]]
2025-08-14T23:31:31.8808358Z ++ git status --porcelain
2025-08-14T23:31:31.8809372Z ++ grep -v '?? third_party'
2025-08-14T23:32:01.8869720Z ++ true
2025-08-14T23:32:01.8870986Z + git_status=
2025-08-14T23:32:01.8871252Z + [[ -n '' ]]
2025-08-14T23:32:01.8871517Z + test_aten
2025-08-14T23:32:01.8871885Z + echo 'Running ATen tests with pytorch lib'
2025-08-14T23:32:01.8872223Z Running ATen tests with pytorch lib
2025-08-14T23:32:01.8872500Z + [[ -n '' ]]
2025-08-14T23:32:01.8872732Z + echo 'Running test with the build folder'
2025-08-14T23:32:01.8873374Z Running test with the build folder
2025-08-14T23:32:01.8873703Z + TEST_BASE_DIR=build/bin
2025-08-14T23:32:01.8874774Z + 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
2025-08-14T23:32:01.8904077Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libcaffe2_nvrtc.so build/bin
2025-08-14T23:32:01.8915398Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libmkldnn*' build/bin
2025-08-14T23:32:01.8927833Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libnccl*' build/bin
2025-08-14T23:32:01.8944391Z + 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
2025-08-14T23:32:01.8955520Z + ls build/bin
2025-08-14T23:32:01.9010284Z  BackoffTest
2025-08-14T23:32:01.9010682Z  CppSignature_test
2025-08-14T23:32:01.9011081Z  Dict_test
2025-08-14T23:32:01.9011402Z  Dimname_test
2025-08-14T23:32:01.9011625Z  FileStoreTest
2025-08-14T23:32:01.9012120Z  HashStoreTest
2025-08-14T23:32:01.9012486Z  IListRef_test
2025-08-14T23:32:01.9012766Z  KernelFunction_test
2025-08-14T23:32:01.9013095Z  List_test
2025-08-14T23:32:01.9013338Z  MaybeOwned_test
2025-08-14T23:32:01.9013644Z  NamedTensor_test
2025-08-14T23:32:01.9014040Z  ProcessGroupGlooAsyncTest
2025-08-14T23:32:01.9014340Z  ProcessGroupGlooTest
2025-08-14T23:32:01.9014598Z  ProcessGroupMPITest
2025-08-14T23:32:01.9014841Z  ProcessGroupNCCLErrorsTest
2025-08-14T23:32:01.9015109Z  ProcessGroupNCCLTest
2025-08-14T23:32:01.9015339Z  StorageUtils_test
2025-08-14T23:32:01.9016517Z  TCPStoreTest
2025-08-14T23:32:01.9016848Z  apply_utils_test
2025-08-14T23:32:01.9017062Z  atest
2025-08-14T23:32:01.9017252Z  backend_fallback_test
2025-08-14T23:32:01.9017469Z  basic
2025-08-14T23:32:01.9017657Z  broadcast_test
2025-08-14T23:32:01.9017846Z  c10_AllocatorConfig_test
2025-08-14T23:32:01.9018063Z  c10_ArrayRef_test
2025-08-14T23:32:01.9018222Z  c10_Bitset_test
2025-08-14T23:32:01.9018402Z  c10_CompileTimeFunctionPointer_test
2025-08-14T23:32:01.9018627Z  c10_ConstexprCrc_test
2025-08-14T23:32:01.9018814Z  c10_DeadlockDetection_test
2025-08-14T23:32:01.9019005Z  c10_DeviceGuard_test
2025-08-14T23:32:01.9019182Z  c10_Device_test
2025-08-14T23:32:01.9019347Z  c10_DispatchKeySet_test
2025-08-14T23:32:01.9019531Z  c10_Enumerate_test
2025-08-14T23:32:01.9019841Z  c10_Half_test
2025-08-14T23:32:01.9020012Z  c10_InlineDeviceGuard_test
2025-08-14T23:32:01.9020297Z  c10_InlineStreamGuard_test
2025-08-14T23:32:01.9020498Z  c10_IntrusiveList_test
2025-08-14T23:32:01.9020671Z  c10_LeftRight_test
2025-08-14T23:32:01.9020856Z  c10_Metaprogramming_test
2025-08-14T23:32:01.9021052Z  c10_NetworkFlow_test
2025-08-14T23:32:01.9021217Z  c10_Scalar_test
2025-08-14T23:32:01.9021381Z  c10_Semaphore_test
2025-08-14T23:32:01.9021566Z  c10_SizesAndStrides_test
2025-08-14T23:32:01.9021746Z  c10_StreamGuard_test
2025-08-14T23:32:01.9021916Z  c10_SymInt_test
2025-08-14T23:32:01.9022082Z  c10_Synchronized_test
2025-08-14T23:32:01.9022252Z  c10_ThreadLocal_test
2025-08-14T23:32:01.9022413Z  c10_TypeIndex_test
2025-08-14T23:32:01.9022574Z  c10_TypeList_test
2025-08-14T23:32:01.9022740Z  c10_TypeTraits_test
2025-08-14T23:32:01.9022911Z  c10_accumulate_test
2025-08-14T23:32:01.9023078Z  c10_bfloat16_test
2025-08-14T23:32:01.9023241Z  c10_bit_cast_test
2025-08-14T23:32:01.9023402Z  c10_complex_math_test
2025-08-14T23:32:01.9023577Z  c10_complex_test
2025-08-14T23:32:01.9023744Z  c10_cow_test
2025-08-14T23:32:01.9023922Z  c10_cuda_CUDAAssertionsTest_1_var_test
2025-08-14T23:32:01.9024181Z  c10_cuda_CUDAAssertionsTest_catches_stream
2025-08-14T23:32:01.9024494Z  c10_cuda_CUDAAssertionsTest_catches_thread_and_block_and_device
2025-08-14T23:32:01.9024806Z  c10_cuda_CUDAAssertionsTest_from_2_processes
2025-08-14T23:32:01.9025136Z  c10_cuda_CUDAAssertionsTest_multiple_writes_from_blocks_and_threads
2025-08-14T23:32:01.9025518Z  c10_cuda_CUDAAssertionsTest_multiple_writes_from_multiple_blocks
2025-08-14T23:32:01.9025866Z  c10_cuda_CUDAAssertionsTest_multiple_writes_from_same_block
2025-08-14T23:32:01.9026130Z  c10_cuda_CUDATest
2025-08-14T23:32:01.9026289Z  c10_error_test
2025-08-14T23:32:01.9026454Z  c10_exception_test
2025-08-14T23:32:01.9026613Z  c10_flags_test
2025-08-14T23:32:01.9026774Z  c10_generic_math_test
2025-08-14T23:32:01.9026955Z  c10_intrusive_ptr_benchmark
2025-08-14T23:32:01.9027153Z  c10_intrusive_ptr_test
2025-08-14T23:32:01.9027327Z  c10_irange_test
2025-08-14T23:32:01.9027491Z  c10_lazy_test
2025-08-14T23:32:01.9027651Z  c10_logging_test
2025-08-14T23:32:01.9027814Z  c10_optional_test
2025-08-14T23:32:01.9027996Z  c10_ordered_preserving_dict_test
2025-08-14T23:32:01.9028200Z  c10_registry_test
2025-08-14T23:32:01.9028362Z  c10_small_vector_test
2025-08-14T23:32:01.9028535Z  c10_ssize_test
2025-08-14T23:32:01.9028686Z  c10_string_util_test
2025-08-14T23:32:01.9028857Z  c10_string_view_test
2025-08-14T23:32:01.9029026Z  c10_tempfile_test
2025-08-14T23:32:01.9029182Z  c10_typeid_test
2025-08-14T23:32:01.9029347Z  cpu_allocator_test
2025-08-14T23:32:01.9029512Z  cpu_generator_test
2025-08-14T23:32:01.9029685Z  cpu_profiling_allocator_test
2025-08-14T23:32:01.9029880Z  cpu_rng_test
2025-08-14T23:32:01.9030065Z  cuda_allocatorTraceTracker_test
2025-08-14T23:32:01.9030273Z  cuda_allocator_test
2025-08-14T23:32:01.9030445Z  cuda_apply_test
2025-08-14T23:32:01.9030619Z  cuda_atomic_ops_test
2025-08-14T23:32:01.9030804Z  cuda_caching_host_allocator_test
2025-08-14T23:32:01.9031006Z  cuda_complex_math_test
2025-08-14T23:32:01.9031182Z  cuda_complex_test
2025-08-14T23:32:01.9031344Z  cuda_cub_test
2025-08-14T23:32:01.9031548Z  cuda_cudnn_test
2025-08-14T23:32:01.9031751Z  cuda_device_test
2025-08-14T23:32:01.9031932Z  cuda_distributions_test
2025-08-14T23:32:01.9032116Z  cuda_dlconvertor_test
2025-08-14T23:32:01.9032307Z  cuda_exchange_device_test
2025-08-14T23:32:01.9032507Z  cuda_generator_test
2025-08-14T23:32:01.9032684Z  cuda_half_test
2025-08-14T23:32:01.9032857Z  cuda_integer_divider_test
2025-08-14T23:32:01.9033047Z  cuda_optional_test
2025-08-14T23:32:01.9033221Z  cuda_packedtensoraccessor_test
2025-08-14T23:32:01.9033438Z  cuda_reportMemoryUsage_test
2025-08-14T23:32:01.9033644Z  cuda_stream_test
2025-08-14T23:32:01.9033808Z  cuda_vectorized_test
2025-08-14T23:32:01.9033979Z  dlconvertor_test
2025-08-14T23:32:01.9034140Z  example_allreduce
2025-08-14T23:32:01.9034373Z  extension_backend_test
2025-08-14T23:32:01.9034557Z  half_test
2025-08-14T23:32:01.9034711Z  inline_container_test
2025-08-14T23:32:01.9034914Z  ivalue_test
2025-08-14T23:32:01.9035079Z  kernel_function_legacy_test
2025-08-14T23:32:01.9035279Z  kernel_function_test
2025-08-14T23:32:01.9035453Z  kernel_lambda_legacy_test
2025-08-14T23:32:01.9035635Z  kernel_lambda_test
2025-08-14T23:32:01.9035802Z  kernel_stackbased_test
2025-08-14T23:32:01.9035979Z  lazy_tensor_test
2025-08-14T23:32:01.9036133Z  legacy_vmap_test
2025-08-14T23:32:01.9036292Z  libc10.so
2025-08-14T23:32:01.9036444Z  libc10_cuda.so
2025-08-14T23:32:01.9036615Z  libc10d_cuda_test.so
2025-08-14T23:32:01.9036790Z  libcaffe2_nvrtc.so
2025-08-14T23:32:01.9036953Z 'libmkldnn*'
2025-08-14T23:32:01.9037100Z 'libnccl*'
2025-08-14T23:32:01.9037240Z  libtorch.so
2025-08-14T23:32:01.9037395Z  libtorch_cpu.so
2025-08-14T23:32:01.9037559Z  libtorch_cuda.so
2025-08-14T23:32:01.9037728Z  libtorch_cuda_linalg.so
2025-08-14T23:32:01.9037916Z  libtorch_global_deps.so
2025-08-14T23:32:01.9038093Z  libtorch_nvshmem.so
2025-08-14T23:32:01.9038266Z  libtorch_python.so
2025-08-14T23:32:01.9038439Z  libtorchbind_test.so
2025-08-14T23:32:01.9038620Z  make_boxed_from_unboxed_functor_test
2025-08-14T23:32:01.9038837Z  math_kernel_test
2025-08-14T23:32:01.9039005Z  memory_format_test
2025-08-14T23:32:01.9039176Z  memory_overlapping_test
2025-08-14T23:32:01.9039363Z  mobile_memory_cleanup
2025-08-14T23:32:01.9039531Z  native_test
2025-08-14T23:32:01.9039687Z  op_allowlist_test
2025-08-14T23:32:01.9039858Z  op_registration_test
2025-08-14T23:32:01.9040033Z  operator_name_test
2025-08-14T23:32:01.9040193Z  operators_test
2025-08-14T23:32:01.9040368Z  packedtensoraccessor_test
2025-08-14T23:32:01.9040563Z  parallel_benchmark
2025-08-14T23:32:01.9040722Z  pow_test
2025-08-14T23:32:01.9040869Z  protoc
2025-08-14T23:32:01.9041020Z  protoc-3.13.0.0
2025-08-14T23:32:01.9041182Z  quantized_test
2025-08-14T23:32:01.9041366Z  reduce_ops_test
2025-08-14T23:32:01.9041535Z  reportMemoryUsage_test
2025-08-14T23:32:01.9041722Z  scalar_tensor_test
2025-08-14T23:32:01.9041897Z  scalar_test
2025-08-14T23:32:01.9042171Z  stride_properties_test
2025-08-14T23:32:01.9042358Z  tensor_iterator_test
2025-08-14T23:32:01.9042528Z  test_api
2025-08-14T23:32:01.9042678Z  test_cpp_rpc
2025-08-14T23:32:01.9042840Z  test_dist_autograd
2025-08-14T23:32:01.9042996Z  test_jit
2025-08-14T23:32:01.9043131Z  test_lazy
2025-08-14T23:32:01.9043278Z  test_nativert
2025-08-14T23:32:01.9043434Z  test_parallel
2025-08-14T23:32:01.9043589Z  thread_init_test
2025-08-14T23:32:01.9043750Z  torch_shm_manager
2025-08-14T23:32:01.9043912Z  type_ptr_test
2025-08-14T23:32:01.9044065Z  type_test
2025-08-14T23:32:01.9044221Z  undefined_tensor_test
2025-08-14T23:32:01.9044404Z  vec_test_all_types_AVX2
2025-08-14T23:32:01.9044595Z  vec_test_all_types_AVX512
2025-08-14T23:32:01.9044781Z  vec_test_all_types_DEFAULT
2025-08-14T23:32:01.9044979Z  verify_api_visibility
2025-08-14T23:32:01.9045153Z  weakref_test
2025-08-14T23:32:01.9045306Z  wrapdim_test
2025-08-14T23:32:01.9045459Z  xla_tensor_test
2025-08-14T23:32:01.9045651Z + aten/tools/run_tests.sh build/bin
2025-08-14T23:32:01.9046247Z + set -e
2025-08-14T23:32:01.9049013Z ++ dirname aten/tools/run_tests.sh
2025-08-14T23:32:01.9063975Z + VALGRIND_SUP=/var/lib/jenkins/workspace/aten/tools/valgrind.sup
2025-08-14T23:32:01.9064416Z + export CPP_TESTS_DIR=build/bin
2025-08-14T23:32:01.9064700Z + CPP_TESTS_DIR=build/bin
2025-08-14T23:32:01.9064934Z + VALGRIND=ON
2025-08-14T23:32:01.9066470Z + 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
2025-08-14T23:32:04.5153516Z /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.
2025-08-14T23:32:04.5155032Z   import pkg_resources
2025-08-14T23:32:06.2171223Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-08-14T23:32:06.2276439Z Found test times from artifacts
2025-08-14T23:32:06.2690893Z Found test times from artifacts
2025-08-14T23:32:06.2704628Z Running all tests
2025-08-14T23:32:06.2708772Z Running parallel tests on 3 processes
2025-08-14T23:32:06.2710594Z Name: tests to run (est. time: 0.0min)
2025-08-14T23:32:06.2710913Z   Serial tests (0):
2025-08-14T23:32:06.2711146Z   Parallel tests (19):
2025-08-14T23:32:06.2711388Z     cpp/Dict_test 1/1
2025-08-14T23:32:06.2711627Z     cpp/Dimname_test 1/1
2025-08-14T23:32:06.2712140Z     cpp/NamedTensor_test 1/1
2025-08-14T23:32:06.2712401Z     cpp/apply_utils_test 1/1
2025-08-14T23:32:06.2712636Z     cpp/atest 1/1
2025-08-14T23:32:06.2712866Z     cpp/basic 1/1
2025-08-14T23:32:06.2713094Z     cpp/broadcast_test 1/1
2025-08-14T23:32:06.2713368Z     cpp/cpu_generator_test 1/1
2025-08-14T23:32:06.2713651Z     cpp/dlconvertor_test 1/1
2025-08-14T23:32:06.2713911Z     cpp/extension_backend_test 1/1
2025-08-14T23:32:06.2714174Z     cpp/lazy_tensor_test 1/1
2025-08-14T23:32:06.2714415Z     cpp/legacy_vmap_test 1/1
2025-08-14T23:32:06.2714665Z     cpp/native_test 1/1
2025-08-14T23:32:06.2714898Z     cpp/operators_test 1/1
2025-08-14T23:32:06.2715148Z     cpp/scalar_tensor_test 1/1
2025-08-14T23:32:06.2715396Z     cpp/scalar_test 1/1
2025-08-14T23:32:06.2715680Z     cpp/tensor_iterator_test 1/1
2025-08-14T23:32:06.2716162Z     cpp/undefined_tensor_test 1/1
2025-08-14T23:32:06.2716526Z     cpp/wrapdim_test 1/1
2025-08-14T23:32:06.2716770Z Name: excluded (est. time: 0.0min)
2025-08-14T23:32:06.2717034Z   Serial tests (0):
2025-08-14T23:32:06.2717246Z   Parallel tests (0):
2025-08-14T23:32:06.2717538Z Running cpp/Dict_test 1/1 ... [2025-08-14 23:32:06.271441]
2025-08-14T23:32:06.2717886Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:32:06.2722670Z 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-8977188a7e64bca3.xml', '-x', '--reruns=2'] ... [2025-08-14 23:32:06.272023]
2025-08-14T23:32:07.8903638Z 
2025-08-14T23:32:07.8904449Z cpp/Dict_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dict_test_1.1_a71f972e3a26c732_.log
2025-08-14T23:32:07.8905007Z 
2025-08-14T23:32:09.1151788Z Uploading artifacts took 1.22 seconds
2025-08-14T23:32:09.1152265Z Running cpp/Dimname_test 1/1 ... [2025-08-14 23:32:09.114842]
2025-08-14T23:32:09.1152650Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:32:09.1156118Z 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-d86f7ab4c302999c.xml', '-x', '--reruns=2'] ... [2025-08-14 23:32:09.115352]
2025-08-14T23:32:10.7331405Z 
2025-08-14T23:32:10.7332222Z cpp/Dimname_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dimname_test_1.1_b488ec5dd915c44c_.log
2025-08-14T23:32:10.7332812Z 
2025-08-14T23:32:10.7333030Z Running cpp/NamedTensor_test 1/1 ... [2025-08-14 23:32:10.732978]
2025-08-14T23:32:10.7333413Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:32:10.7335840Z 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-fc9ce7d1614f3f65.xml', '-x', '--reruns=2'] ... [2025-08-14 23:32:10.733349]
2025-08-14T23:32:12.3513203Z 
2025-08-14T23:32:12.3514488Z cpp/NamedTensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.NamedTensor_test_1.1_88ac6ab2039677bd_.log
2025-08-14T23:32:12.3515141Z 
2025-08-14T23:32:12.3515347Z Running cpp/apply_utils_test 1/1 ... [2025-08-14 23:32:12.351148]
2025-08-14T23:32:12.3515761Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:32:12.3518522Z 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-cb8a6d149c91c8d1.xml', '-x', '--reruns=2'] ... [2025-08-14 23:32:12.351589]
2025-08-14T23:32:13.9702574Z 
2025-08-14T23:32:13.9703669Z 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_ef8115d5a3d35f80_.log
2025-08-14T23:32:13.9704195Z 
2025-08-14T23:32:13.9704330Z Running cpp/atest 1/1 ... [2025-08-14 23:32:13.969899]
2025-08-14T23:32:13.9704615Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:32:13.9707170Z 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-05086a359b151c1e.xml', '-x', '--reruns=2'] ... [2025-08-14 23:32:13.970483]
2025-08-14T23:32:15.5885671Z 
2025-08-14T23:32:15.5886555Z cpp/atest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.atest_1.1_aa828c05f57fac57_.log
2025-08-14T23:32:15.5887109Z 
2025-08-14T23:32:15.5887274Z Running cpp/basic 1/1 ... [2025-08-14 23:32:15.588419]
2025-08-14T23:32:15.5887610Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:32:15.5890571Z 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-ef2fc1c67ea46421.xml', '-x', '--reruns=2'] ... [2025-08-14 23:32:15.588788]
2025-08-14T23:32:17.2065052Z 
2025-08-14T23:32:17.2065881Z cpp/basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.basic_1.1_3bc7b163d7984f78_.log
2025-08-14T23:32:17.2066433Z 
2025-08-14T23:32:17.2066642Z Running cpp/broadcast_test 1/1 ... [2025-08-14 23:32:17.206376]
2025-08-14T23:32:17.2067042Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:32:17.2070241Z 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-2e5d0037e4e81dd8.xml', '-x', '--reruns=2'] ... [2025-08-14 23:32:17.206768]
2025-08-14T23:32:18.8246921Z 
2025-08-14T23:32:18.8247938Z cpp/broadcast_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.broadcast_test_1.1_117714c65f9b4a82_.log
2025-08-14T23:32:18.8248585Z 
2025-08-14T23:32:18.8248779Z Running cpp/cpu_generator_test 1/1 ... [2025-08-14 23:32:18.824514]
2025-08-14T23:32:18.8249170Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:32:18.8252176Z 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-ce8b72a30a6ce18c.xml', '-x', '--reruns=2'] ... [2025-08-14 23:32:18.824877]
2025-08-14T23:32:20.4426609Z 
2025-08-14T23:32:20.4427442Z 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_57c6510c118fe899_.log
2025-08-14T23:32:20.4428089Z 
2025-08-14T23:32:20.4428288Z Running cpp/dlconvertor_test 1/1 ... [2025-08-14 23:32:20.442502]
2025-08-14T23:32:20.4428670Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:32:20.4431552Z 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-476c02a7c1b40700.xml', '-x', '--reruns=2'] ... [2025-08-14 23:32:20.442883]
2025-08-14T23:32:22.1113534Z 
2025-08-14T23:32:22.1115506Z cpp/dlconvertor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.dlconvertor_test_1.1_c6db80cec08bbcce_.log
2025-08-14T23:32:22.1116282Z 
2025-08-14T23:32:22.1116495Z Running cpp/extension_backend_test 1/1 ... [2025-08-14 23:32:22.110992]
2025-08-14T23:32:22.1116823Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:32:22.1119243Z 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-52c5e83d24528e3f.xml', '-x', '--reruns=2'] ... [2025-08-14 23:32:22.111670]
2025-08-14T23:32:23.7299196Z 
2025-08-14T23:32:23.7300390Z 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_35d1896942729e03_.log
2025-08-14T23:32:23.7301102Z 
2025-08-14T23:32:23.7301324Z Running cpp/lazy_tensor_test 1/1 ... [2025-08-14 23:32:23.729757]
2025-08-14T23:32:23.7301751Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:32:23.7303512Z 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-de63cb2e99fe94eb.xml', '-x', '--reruns=2'] ... [2025-08-14 23:32:23.730119]
2025-08-14T23:32:25.3480282Z 
2025-08-14T23:32:25.3481383Z 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_b49bbb7f0c1348e8_.log
2025-08-14T23:32:25.3482116Z 
2025-08-14T23:32:25.3482334Z Running cpp/legacy_vmap_test 1/1 ... [2025-08-14 23:32:25.347910]
2025-08-14T23:32:25.3482722Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:32:25.3486074Z 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-7cf59a5a692b3019.xml', '-x', '--reruns=2'] ... [2025-08-14 23:32:25.348349]
2025-08-14T23:32:27.0168686Z 
2025-08-14T23:32:27.0169776Z 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_0b16ce5f7b39e517_.log
2025-08-14T23:32:27.0170444Z 
2025-08-14T23:32:27.0170632Z Running cpp/native_test 1/1 ... [2025-08-14 23:32:27.016726]
2025-08-14T23:32:27.0171002Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:32:27.0173551Z 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-e37fb0e57ef21ed4.xml', '-x', '--reruns=2'] ... [2025-08-14 23:32:27.017098]
2025-08-14T23:32:28.6355727Z 
2025-08-14T23:32:28.6356912Z cpp/native_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.native_test_1.1_2b35bb0a57aadf67_.log
2025-08-14T23:32:28.6357824Z 
2025-08-14T23:32:28.6358091Z Running cpp/operators_test 1/1 ... [2025-08-14 23:32:28.635153]
2025-08-14T23:32:28.6358482Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:32:28.6360068Z 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-93b1ea4c826b3251.xml', '-x', '--reruns=2'] ... [2025-08-14 23:32:28.635677]
2025-08-14T23:32:30.2538951Z 
2025-08-14T23:32:30.2539749Z cpp/operators_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.operators_test_1.1_b2f3e20b3f2b3463_.log
2025-08-14T23:32:30.2540289Z 
2025-08-14T23:32:30.2540467Z Running cpp/scalar_tensor_test 1/1 ... [2025-08-14 23:32:30.253635]
2025-08-14T23:32:30.2540779Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:32:30.2543973Z 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-6ee7200ecfbc7cb6.xml', '-x', '--reruns=2'] ... [2025-08-14 23:32:30.254137]
2025-08-14T23:32:31.8721720Z 
2025-08-14T23:32:31.8723086Z 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_2bbae704e53349ab_.log
2025-08-14T23:32:31.8723939Z 
2025-08-14T23:32:31.8724173Z Running cpp/scalar_test 1/1 ... [2025-08-14 23:32:31.871999]
2025-08-14T23:32:31.8724685Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:32:31.8726756Z 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-21d8d72edc45629e.xml', '-x', '--reruns=2'] ... [2025-08-14 23:32:31.872403]
2025-08-14T23:32:33.4914510Z 
2025-08-14T23:32:33.4915690Z cpp/scalar_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_test_1.1_5c71912ce317a9bc_.log
2025-08-14T23:32:33.4916417Z 
2025-08-14T23:32:33.4916643Z Running cpp/tensor_iterator_test 1/1 ... [2025-08-14 23:32:33.490810]
2025-08-14T23:32:33.4917143Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:32:33.4918350Z 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-5907ddf10f74f6d8.xml', '-x', '--reruns=2'] ... [2025-08-14 23:32:33.491348]
2025-08-14T23:32:35.1097111Z 
2025-08-14T23:32:35.1098591Z 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_b46fddec7fe20631_.log
2025-08-14T23:32:35.1099836Z 
2025-08-14T23:32:35.1100241Z Running cpp/undefined_tensor_test 1/1 ... [2025-08-14 23:32:35.109404]
2025-08-14T23:32:35.1100668Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:32:35.1102532Z 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-a7eab1664745fafa.xml', '-x', '--reruns=2'] ... [2025-08-14 23:32:35.110002]
2025-08-14T23:32:36.7282066Z 
2025-08-14T23:32:36.7282971Z 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_c18fd025ed2eb5db_.log
2025-08-14T23:32:36.7283630Z 
2025-08-14T23:32:36.7283826Z Running cpp/wrapdim_test 1/1 ... [2025-08-14 23:32:36.727774]
2025-08-14T23:32:36.7284274Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:32:36.7285833Z 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-74f40fd19720319c.xml', '-x', '--reruns=2'] ... [2025-08-14 23:32:36.728346]
2025-08-14T23:32:38.3464800Z 
2025-08-14T23:32:38.3465624Z cpp/wrapdim_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.wrapdim_test_1.1_20109c1c2a069466_.log
2025-08-14T23:32:38.3466212Z 
2025-08-14T23:32:41.3013145Z /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.
2025-08-14T23:32:41.3014703Z   import pkg_resources
2025-08-14T23:32:41.3186720Z /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.
2025-08-14T23:32:41.3188103Z   import pkg_resources
2025-08-14T23:32:41.3191209Z /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.
2025-08-14T23:32:41.3192422Z   import pkg_resources
2025-08-14T23:32:41.6599374Z Running cpp/Dict_test 1/1 ... [2025-08-14 23:32:41.659537]
2025-08-14T23:32:41.6599830Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:32:41.6602843Z 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-63ab990931dbb4d4.xml', '-x', '--reruns=2'] ... [2025-08-14 23:32:41.660005]
2025-08-14T23:32:41.6727532Z Running cpp/Dimname_test 1/1 ... [2025-08-14 23:32:41.672481]
2025-08-14T23:32:41.6727982Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:32:41.6732073Z 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-28f36f4560060de4.xml', '-x', '--reruns=2'] ... [2025-08-14 23:32:41.672930]
2025-08-14T23:32:41.6781203Z Running cpp/NamedTensor_test 1/1 ... [2025-08-14 23:32:41.677908]
2025-08-14T23:32:41.6781623Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:32:41.6786019Z 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-6010c40f98165947.xml', '-x', '--reruns=2'] ... [2025-08-14 23:32:41.678338]
2025-08-14T23:32:44.5451743Z 
2025-08-14T23:32:44.5452818Z cpp/Dimname_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dimname_test_1.1_c127aff35ef0f1c6_.log
2025-08-14T23:32:44.5453675Z 
2025-08-14T23:32:45.4022363Z 
2025-08-14T23:32:45.4023591Z cpp/NamedTensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.NamedTensor_test_1.1_252a95e6cf36f77e_.log
2025-08-14T23:32:45.4024331Z 
2025-08-14T23:32:48.7360328Z /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.
2025-08-14T23:32:48.7361769Z   import pkg_resources
2025-08-14T23:32:49.1255837Z Running cpp/apply_utils_test 1/1 ... [2025-08-14 23:32:49.125065]
2025-08-14T23:32:49.1256345Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:32:49.1258705Z 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-d9701ca4f8e55b65.xml', '-x', '--reruns=2'] ... [2025-08-14 23:32:49.125550]
2025-08-14T23:32:49.4727608Z /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.
2025-08-14T23:32:49.4729680Z   import pkg_resources
2025-08-14T23:32:49.8638283Z Running cpp/atest 1/1 ... [2025-08-14 23:32:49.863342]
2025-08-14T23:32:49.8638881Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:32:49.8641728Z 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-47b0b9e1ae9f132d.xml', '-x', '--reruns=2'] ... [2025-08-14 23:32:49.863838]
2025-08-14T23:32:50.2956430Z 
2025-08-14T23:32:50.2957459Z cpp/Dict_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dict_test_1.1_0d6014003d6b098a_.log
2025-08-14T23:32:50.2958223Z 
2025-08-14T23:32:52.0972161Z 
2025-08-14T23:32:52.0973086Z 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_0725c09b8e98f326_.log
2025-08-14T23:32:52.0973771Z 
2025-08-14T23:32:54.4757835Z /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.
2025-08-14T23:32:54.4759295Z   import pkg_resources
2025-08-14T23:32:54.5394528Z 
2025-08-14T23:32:54.5395424Z cpp/atest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.atest_1.1_a4e8de0ec300a094_.log
2025-08-14T23:32:54.5396222Z 
2025-08-14T23:32:54.8654271Z Running cpp/basic 1/1 ... [2025-08-14 23:32:54.865024]
2025-08-14T23:32:54.8654883Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:32:54.8658085Z 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-c1235b463dcfff5b.xml', '-x', '--reruns=2'] ... [2025-08-14 23:32:54.865472]
2025-08-14T23:32:56.0322762Z /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.
2025-08-14T23:32:56.0324203Z   import pkg_resources
2025-08-14T23:32:56.4157211Z Running cpp/broadcast_test 1/1 ... [2025-08-14 23:32:56.415275]
2025-08-14T23:32:56.4157666Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:32:56.4160248Z 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-962d51285bb0f4c4.xml', '-x', '--reruns=2'] ... [2025-08-14 23:32:56.415736]
2025-08-14T23:32:58.1871709Z 
2025-08-14T23:32:58.1872822Z cpp/basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.basic_1.1_f6bbcd3236737910_.log
2025-08-14T23:32:58.1873537Z 
2025-08-14T23:32:58.5409345Z /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.
2025-08-14T23:32:58.5410810Z   import pkg_resources
2025-08-14T23:32:58.6857134Z 
2025-08-14T23:32:58.6858179Z cpp/broadcast_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.broadcast_test_1.1_82c0baaaf0a3fd56_.log
2025-08-14T23:32:58.6858853Z 
2025-08-14T23:32:58.9284421Z Running cpp/cpu_generator_test 1/1 ... [2025-08-14 23:32:58.928045]
2025-08-14T23:32:58.9284897Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:32:58.9289110Z 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-9ff03b4bf62d49ae.xml', '-x', '--reruns=2'] ... [2025-08-14 23:32:58.928575]
2025-08-14T23:33:02.1501315Z /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.
2025-08-14T23:33:02.1502717Z   import pkg_resources
2025-08-14T23:33:02.5366575Z Running cpp/dlconvertor_test 1/1 ... [2025-08-14 23:33:02.536240]
2025-08-14T23:33:02.5367018Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:33:02.5370432Z 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-5f7d24980ac21bfb.xml', '-x', '--reruns=2'] ... [2025-08-14 23:33:02.536697]
2025-08-14T23:33:02.6526058Z /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.
2025-08-14T23:33:02.6527417Z   import pkg_resources
2025-08-14T23:33:03.0259013Z Running cpp/extension_backend_test 1/1 ... [2025-08-14 23:33:03.025506]
2025-08-14T23:33:03.0259489Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:33:03.0263005Z 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-300a8760f1f501e7.xml', '-x', '--reruns=2'] ... [2025-08-14 23:33:03.026008]
2025-08-14T23:33:03.2522785Z 
2025-08-14T23:33:03.2524019Z 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_98ab23f9eb6de378_.log
2025-08-14T23:33:03.2524885Z 
2025-08-14T23:33:05.2460494Z 
2025-08-14T23:33:05.2461523Z 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_6e3ff06259c9373a_.log
2025-08-14T23:33:05.2462105Z 
2025-08-14T23:33:05.3077512Z 
2025-08-14T23:33:05.3078356Z cpp/dlconvertor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.dlconvertor_test_1.1_86843012b1f5122c_.log
2025-08-14T23:33:05.3079025Z 
2025-08-14T23:33:07.3780701Z /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.
2025-08-14T23:33:07.3781981Z   import pkg_resources
2025-08-14T23:33:07.7314980Z Running cpp/lazy_tensor_test 1/1 ... [2025-08-14 23:33:07.731049]
2025-08-14T23:33:07.7315447Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:33:07.7319457Z 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-5d9c321b175cf848.xml', '-x', '--reruns=2'] ... [2025-08-14 23:33:07.731625]
2025-08-14T23:33:09.1242616Z /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.
2025-08-14T23:33:09.1244918Z   import pkg_resources
2025-08-14T23:33:09.2067660Z /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.
2025-08-14T23:33:09.2069319Z   import pkg_resources
2025-08-14T23:33:09.5067615Z Running cpp/legacy_vmap_test 1/1 ... [2025-08-14 23:33:09.506312]
2025-08-14T23:33:09.5068120Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:33:09.5071232Z 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-ab5f96ff1f8382c1.xml', '-x', '--reruns=2'] ... [2025-08-14 23:33:09.506773]
2025-08-14T23:33:09.5849184Z Running cpp/native_test 1/1 ... [2025-08-14 23:33:09.584432]
2025-08-14T23:33:09.5849681Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:33:09.5852301Z 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-b8c9ba2b27dd257f.xml', '-x', '--reruns=2'] ... [2025-08-14 23:33:09.584903]
2025-08-14T23:33:09.8509032Z 
2025-08-14T23:33:09.8510115Z 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_a09c1990ecf2ff8f_.log
2025-08-14T23:33:09.8510734Z 
2025-08-14T23:33:12.2562148Z 
2025-08-14T23:33:12.2563412Z cpp/native_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.native_test_1.1_7e3ba88b335bab76_.log
2025-08-14T23:33:12.2564231Z 
2025-08-14T23:33:14.0939392Z /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.
2025-08-14T23:33:14.0941145Z   import pkg_resources
2025-08-14T23:33:14.4702473Z Running cpp/operators_test 1/1 ... [2025-08-14 23:33:14.469631]
2025-08-14T23:33:14.4703164Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:33:14.4704349Z 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-f7bf66e564e68b5f.xml', '-x', '--reruns=2'] ... [2025-08-14 23:33:14.470113]
2025-08-14T23:33:14.7828647Z 
2025-08-14T23:33:14.7829512Z 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_ca3c84e5a9bad8a8_.log
2025-08-14T23:33:14.7830210Z 
2025-08-14T23:33:16.2899116Z /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.
2025-08-14T23:33:16.2900978Z   import pkg_resources
2025-08-14T23:33:16.6743989Z Running cpp/scalar_tensor_test 1/1 ... [2025-08-14 23:33:16.673971]
2025-08-14T23:33:16.6744432Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:33:16.6747224Z 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-ade6a2ad195da51b.xml', '-x', '--reruns=2'] ... [2025-08-14 23:33:16.674430]
2025-08-14T23:33:17.0400740Z 
2025-08-14T23:33:17.0401813Z cpp/operators_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.operators_test_1.1_b753390a352adae8_.log
2025-08-14T23:33:17.0403232Z 
2025-08-14T23:33:18.8465455Z /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.
2025-08-14T23:33:18.8466618Z   import pkg_resources
2025-08-14T23:33:19.1946850Z 
2025-08-14T23:33:19.1947886Z 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_762d7d5cee8a8729_.log
2025-08-14T23:33:19.1948529Z 
2025-08-14T23:33:19.2079637Z Running cpp/scalar_test 1/1 ... [2025-08-14 23:33:19.207691]
2025-08-14T23:33:19.2080356Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:33:19.2084628Z 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-490afbbef54f2d79.xml', '-x', '--reruns=2'] ... [2025-08-14 23:33:19.208148]
2025-08-14T23:33:21.0359466Z /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.
2025-08-14T23:33:21.0361366Z   import pkg_resources
2025-08-14T23:33:21.4169309Z Running cpp/tensor_iterator_test 1/1 ... [2025-08-14 23:33:21.416377]
2025-08-14T23:33:21.4169958Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:33:21.4171855Z 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-20e7b4598a6a897f.xml', '-x', '--reruns=2'] ... [2025-08-14 23:33:21.416854]
2025-08-14T23:33:22.0793683Z 
2025-08-14T23:33:22.0794844Z cpp/scalar_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_test_1.1_1874db04d16004ed_.log
2025-08-14T23:33:22.0795493Z 
2025-08-14T23:33:23.1335234Z /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.
2025-08-14T23:33:23.1336599Z   import pkg_resources
2025-08-14T23:33:23.5188462Z Running cpp/undefined_tensor_test 1/1 ... [2025-08-14 23:33:23.518392]
2025-08-14T23:33:23.5188994Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:33:23.5192115Z 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-572dffeb9c556940.xml', '-x', '--reruns=2'] ... [2025-08-14 23:33:23.518911]
2025-08-14T23:33:25.7892351Z 
2025-08-14T23:33:25.7893279Z 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_0d6e42ccb32ddf3b_.log
2025-08-14T23:33:25.7893950Z 
2025-08-14T23:33:26.1794719Z /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.
2025-08-14T23:33:26.1796619Z   import pkg_resources
2025-08-14T23:33:26.5734672Z Running cpp/wrapdim_test 1/1 ... [2025-08-14 23:33:26.572962]
2025-08-14T23:33:26.5735186Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:33:26.5738829Z 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-5a2b2fcf1bdd8ea6.xml', '-x', '--reruns=2'] ... [2025-08-14 23:33:26.573519]
2025-08-14T23:33:28.8437870Z 
2025-08-14T23:33:28.8438877Z cpp/wrapdim_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.wrapdim_test_1.1_b0427aaf16bfabf3_.log
2025-08-14T23:33:28.8439693Z 
2025-08-14T23:33:29.9867078Z /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.
2025-08-14T23:33:29.9868447Z   import pkg_resources
2025-08-14T23:33:32.8593093Z /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.
2025-08-14T23:33:32.8594497Z   import pkg_resources
2025-08-14T23:33:33.1068776Z 
2025-08-14T23:33:33.1069666Z 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_4ff7ebc456c528f8_.log
2025-08-14T23:33:33.1070326Z 
2025-08-14T23:33:34.2051289Z Running test batch 'tests to run' cost 87.93 seconds
2025-08-14T23:33:34.9737130Z + run_if_exists tensor_interop_test
2025-08-14T23:33:34.9737735Z + local test_name=tensor_interop_test
2025-08-14T23:33:34.9738197Z + [[ -x build/bin/tensor_interop_test ]]
2025-08-14T23:33:34.9738573Z + echo 'Warning: tensor_interop_test does not exist.'
2025-08-14T23:33:34.9738983Z Warning: tensor_interop_test does not exist.
2025-08-14T23:33:34.9739291Z + run_if_exists cudnn_test
2025-08-14T23:33:34.9739535Z + local test_name=cudnn_test
2025-08-14T23:33:34.9739790Z + [[ -x build/bin/cudnn_test ]]
2025-08-14T23:33:34.9740098Z + echo 'Warning: cudnn_test does not exist.'
2025-08-14T23:33:34.9740395Z Warning: cudnn_test does not exist.
2025-08-14T23:33:34.9740690Z + run_if_exists cuda_generator_test
2025-08-14T23:33:34.9740966Z + local test_name=cuda_generator_test
2025-08-14T23:33:34.9741255Z + [[ -x build/bin/cuda_generator_test ]]
2025-08-14T23:33:34.9741592Z + python test/run_test.py --cpp --verbose -i cpp/cuda_generator_test
2025-08-14T23:33:37.5741545Z /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.
2025-08-14T23:33:37.5743045Z   import pkg_resources
2025-08-14T23:33:39.2721694Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-08-14T23:33:39.2819859Z Found test times from artifacts
2025-08-14T23:33:39.3229334Z Found test times from artifacts
2025-08-14T23:33:39.3241391Z Running all tests
2025-08-14T23:33:39.3244513Z Running parallel tests on 3 processes
2025-08-14T23:33:39.3244837Z Name: tests to run (est. time: 0.0min)
2025-08-14T23:33:39.3245118Z   Serial tests (0):
2025-08-14T23:33:39.3245374Z   Parallel tests (1):
2025-08-14T23:33:39.3245617Z     cpp/cuda_generator_test 1/1
2025-08-14T23:33:39.3245882Z Name: excluded (est. time: 0.0min)
2025-08-14T23:33:39.3246151Z   Serial tests (0):
2025-08-14T23:33:39.3246366Z   Parallel tests (0):
2025-08-14T23:33:39.3246842Z Running cpp/cuda_generator_test 1/1 ... [2025-08-14 23:33:39.324500]
2025-08-14T23:33:39.3247206Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:33:39.3252486Z 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-ecf98f1c29a5d53e.xml', '-x', '--reruns=2'] ... [2025-08-14 23:33:39.324947]
2025-08-14T23:33:40.9428900Z 
2025-08-14T23:33:40.9429767Z 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_fd0cd677f4847e6c_.log
2025-08-14T23:33:40.9430401Z 
2025-08-14T23:33:42.4225093Z Uploading artifacts took 1.48 seconds
2025-08-14T23:33:45.3664745Z /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.
2025-08-14T23:33:45.3666263Z   import pkg_resources
2025-08-14T23:33:45.3900596Z /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.
2025-08-14T23:33:45.3901997Z   import pkg_resources
2025-08-14T23:33:45.3903278Z /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.
2025-08-14T23:33:45.3904571Z   import pkg_resources
2025-08-14T23:33:45.7284215Z Running cpp/cuda_generator_test 1/1 ... [2025-08-14 23:33:45.728002]
2025-08-14T23:33:45.7284684Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:33:45.7288352Z 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-345496c1befe917e.xml', '-x', '--reruns=2'] ... [2025-08-14 23:33:45.728497]
2025-08-14T23:33:50.0019551Z 
2025-08-14T23:33:50.0020501Z 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_deed77f245683169_.log
2025-08-14T23:33:50.0021154Z 
2025-08-14T23:33:51.0621913Z Running test batch 'tests to run' cost 11.74 seconds
2025-08-14T23:33:51.8205506Z + run_if_exists apply_test
2025-08-14T23:33:51.8205916Z + local test_name=apply_test
2025-08-14T23:33:51.8206222Z + [[ -x build/bin/apply_test ]]
2025-08-14T23:33:51.8206509Z + echo 'Warning: apply_test does not exist.'
2025-08-14T23:33:51.8206824Z Warning: apply_test does not exist.
2025-08-14T23:33:51.8207103Z + run_if_exists stream_test
2025-08-14T23:33:51.8207368Z + local test_name=stream_test
2025-08-14T23:33:51.8207581Z + [[ -x build/bin/stream_test ]]
2025-08-14T23:33:51.8207814Z + echo 'Warning: stream_test does not exist.'
2025-08-14T23:33:51.8208058Z Warning: stream_test does not exist.
2025-08-14T23:33:51.8208294Z + run_if_exists cuda_half_test
2025-08-14T23:33:51.8208502Z + local test_name=cuda_half_test
2025-08-14T23:33:51.8208710Z + [[ -x build/bin/cuda_half_test ]]
2025-08-14T23:33:51.8208995Z + python test/run_test.py --cpp --verbose -i cpp/cuda_half_test
2025-08-14T23:33:54.4085997Z /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.
2025-08-14T23:33:54.4087401Z   import pkg_resources
2025-08-14T23:33:56.1252923Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-08-14T23:33:56.1350212Z Found test times from artifacts
2025-08-14T23:33:56.1763206Z Found test times from artifacts
2025-08-14T23:33:56.1775430Z Running all tests
2025-08-14T23:33:56.1778499Z Running parallel tests on 3 processes
2025-08-14T23:33:56.1779029Z Name: tests to run (est. time: 0.0min)
2025-08-14T23:33:56.1779320Z   Serial tests (0):
2025-08-14T23:33:56.1779539Z   Parallel tests (1):
2025-08-14T23:33:56.1779784Z     cpp/cuda_half_test 1/1
2025-08-14T23:33:56.1780067Z Name: excluded (est. time: 0.0min)
2025-08-14T23:33:56.1780447Z   Serial tests (0):
2025-08-14T23:33:56.1780664Z   Parallel tests (0):
2025-08-14T23:33:56.1780988Z Running cpp/cuda_half_test 1/1 ... [2025-08-14 23:33:56.177846]
2025-08-14T23:33:56.1781354Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:33:56.1785185Z 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-dcb30144c0763e2b.xml', '-x', '--reruns=2'] ... [2025-08-14 23:33:56.178271]
2025-08-14T23:33:57.7966345Z 
2025-08-14T23:33:57.7967686Z 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_eed41a5a1433bbdf_.log
2025-08-14T23:33:57.7968884Z 
2025-08-14T23:33:59.0346174Z Uploading artifacts took 1.24 seconds
2025-08-14T23:34:02.0362793Z /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.
2025-08-14T23:34:02.0364150Z   import pkg_resources
2025-08-14T23:34:02.0401595Z /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.
2025-08-14T23:34:02.0402989Z   import pkg_resources
2025-08-14T23:34:02.0434437Z /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.
2025-08-14T23:34:02.0435728Z   import pkg_resources
2025-08-14T23:34:02.4013710Z Running cpp/cuda_half_test 1/1 ... [2025-08-14 23:34:02.401006]
2025-08-14T23:34:02.4014142Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:34:02.4017753Z 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-0a6a05dfb7e57bf7.xml', '-x', '--reruns=2'] ... [2025-08-14 23:34:02.401483]
2025-08-14T23:34:04.6714452Z 
2025-08-14T23:34:04.6715306Z 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_349dd93b6b735594_.log
2025-08-14T23:34:04.6715914Z 
2025-08-14T23:34:05.6975029Z Running test batch 'tests to run' cost 9.52 seconds
2025-08-14T23:34:06.4486712Z + run_if_exists cuda_vectorized_test
2025-08-14T23:34:06.4487093Z + local test_name=cuda_vectorized_test
2025-08-14T23:34:06.4487411Z + [[ -x build/bin/cuda_vectorized_test ]]
2025-08-14T23:34:06.4487835Z + python test/run_test.py --cpp --verbose -i cpp/cuda_vectorized_test
2025-08-14T23:34:09.0311015Z /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.
2025-08-14T23:34:09.0312770Z   import pkg_resources
2025-08-14T23:34:10.7267430Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-08-14T23:34:10.7365349Z Found test times from artifacts
2025-08-14T23:34:10.7777071Z Found test times from artifacts
2025-08-14T23:34:10.7788996Z Running all tests
2025-08-14T23:34:10.7791761Z Running parallel tests on 3 processes
2025-08-14T23:34:10.7792156Z Name: tests to run (est. time: 0.0min)
2025-08-14T23:34:10.7792471Z   Serial tests (0):
2025-08-14T23:34:10.7792811Z   Parallel tests (1):
2025-08-14T23:34:10.7793066Z     cpp/cuda_vectorized_test 1/1
2025-08-14T23:34:10.7793340Z Name: excluded (est. time: 0.0min)
2025-08-14T23:34:10.7793604Z   Serial tests (0):
2025-08-14T23:34:10.7793969Z   Parallel tests (0):
2025-08-14T23:34:10.7794390Z Running cpp/cuda_vectorized_test 1/1 ... [2025-08-14 23:34:10.779224]
2025-08-14T23:34:10.7794890Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:34:10.7798783Z 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-dc42b3b1b6513170.xml', '-x', '--reruns=2'] ... [2025-08-14 23:34:10.779636]
2025-08-14T23:34:12.3978355Z 
2025-08-14T23:34:12.3979255Z 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_c2fc43bc6d9ff5ec_.log
2025-08-14T23:34:12.3979921Z 
2025-08-14T23:34:13.7012249Z Uploading artifacts took 1.30 seconds
2025-08-14T23:34:16.6504910Z /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.
2025-08-14T23:34:16.6506460Z   import pkg_resources
2025-08-14T23:34:16.6621819Z /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.
2025-08-14T23:34:16.6623138Z   import pkg_resources
2025-08-14T23:34:16.6643254Z /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.
2025-08-14T23:34:16.6644522Z   import pkg_resources
2025-08-14T23:34:17.0090476Z Running cpp/cuda_vectorized_test 1/1 ... [2025-08-14 23:34:17.008659]
2025-08-14T23:34:17.0090971Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:34:17.0094397Z 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-335d2847e352aded.xml', '-x', '--reruns=2'] ... [2025-08-14 23:34:17.009135]
2025-08-14T23:34:19.3788909Z 
2025-08-14T23:34:19.3789822Z 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_6cf279a40180c03e_.log
2025-08-14T23:34:19.3790483Z 
2025-08-14T23:34:20.4017571Z Running test batch 'tests to run' cost 9.62 seconds
2025-08-14T23:34:21.1616378Z + run_if_exists cuda_distributions_test
2025-08-14T23:34:21.1616793Z + local test_name=cuda_distributions_test
2025-08-14T23:34:21.1617149Z + [[ -x build/bin/cuda_distributions_test ]]
2025-08-14T23:34:21.1617576Z + python test/run_test.py --cpp --verbose -i cpp/cuda_distributions_test
2025-08-14T23:34:23.7657627Z /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.
2025-08-14T23:34:23.7659116Z   import pkg_resources
2025-08-14T23:34:25.4693685Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-08-14T23:34:25.4792844Z Found test times from artifacts
2025-08-14T23:34:25.5208558Z Found test times from artifacts
2025-08-14T23:34:25.5220845Z Running all tests
2025-08-14T23:34:25.5224086Z Running parallel tests on 3 processes
2025-08-14T23:34:25.5224654Z Name: tests to run (est. time: 0.0min)
2025-08-14T23:34:25.5224962Z   Serial tests (0):
2025-08-14T23:34:25.5225303Z   Parallel tests (1):
2025-08-14T23:34:25.5225594Z     cpp/cuda_distributions_test 1/1
2025-08-14T23:34:25.5226341Z Name: excluded (est. time: 0.0min)
2025-08-14T23:34:25.5226617Z   Serial tests (0):
2025-08-14T23:34:25.5226842Z   Parallel tests (0):
2025-08-14T23:34:25.5227347Z Running cpp/cuda_distributions_test 1/1 ... [2025-08-14 23:34:25.522392]
2025-08-14T23:34:25.5227803Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:34:25.5230596Z 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-57f9d8866ddf237d.xml', '-x', '--reruns=2'] ... [2025-08-14 23:34:25.522810]
2025-08-14T23:34:27.1409030Z 
2025-08-14T23:34:27.1410802Z 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_860bbb5899c1925b_.log
2025-08-14T23:34:27.1411613Z 
2025-08-14T23:34:28.4044591Z Uploading artifacts took 1.26 seconds
2025-08-14T23:34:31.3805886Z /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.
2025-08-14T23:34:31.3807262Z   import pkg_resources
2025-08-14T23:34:31.3864736Z /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.
2025-08-14T23:34:31.3866038Z   import pkg_resources
2025-08-14T23:34:31.3896048Z /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.
2025-08-14T23:34:31.3897340Z   import pkg_resources
2025-08-14T23:34:31.7397965Z Running cpp/cuda_distributions_test 1/1 ... [2025-08-14 23:34:31.739421]
2025-08-14T23:34:31.7398430Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:34:31.7402241Z 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-a7800dddd99667af.xml', '-x', '--reruns=2'] ... [2025-08-14 23:34:31.739895]
2025-08-14T23:34:34.8116289Z 
2025-08-14T23:34:34.8117236Z 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_e816bae180b2f1e8_.log
2025-08-14T23:34:34.8117947Z 
2025-08-14T23:34:35.8726574Z Running test batch 'tests to run' cost 10.35 seconds
2025-08-14T23:34:36.6298777Z + run_if_exists cuda_optional_test
2025-08-14T23:34:36.6299171Z + local test_name=cuda_optional_test
2025-08-14T23:34:36.6299481Z + [[ -x build/bin/cuda_optional_test ]]
2025-08-14T23:34:36.6299879Z + python test/run_test.py --cpp --verbose -i cpp/cuda_optional_test
2025-08-14T23:34:39.2094580Z /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.
2025-08-14T23:34:39.2096125Z   import pkg_resources
2025-08-14T23:34:40.9083996Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-08-14T23:34:40.9181413Z Found test times from artifacts
2025-08-14T23:34:40.9594699Z Found test times from artifacts
2025-08-14T23:34:40.9606495Z Running all tests
2025-08-14T23:34:40.9609555Z Running parallel tests on 3 processes
2025-08-14T23:34:40.9610156Z Name: tests to run (est. time: 0.0min)
2025-08-14T23:34:40.9610401Z   Serial tests (0):
2025-08-14T23:34:40.9610780Z   Parallel tests (1):
2025-08-14T23:34:40.9611009Z     cpp/cuda_optional_test 1/1
2025-08-14T23:34:40.9611248Z Name: excluded (est. time: 0.0min)
2025-08-14T23:34:40.9611489Z   Serial tests (0):
2025-08-14T23:34:40.9611976Z   Parallel tests (0):
2025-08-14T23:34:40.9612415Z Running cpp/cuda_optional_test 1/1 ... [2025-08-14 23:34:40.960990]
2025-08-14T23:34:40.9612921Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:34:40.9616750Z 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-1b79e5354672e2a6.xml', '-x', '--reruns=2'] ... [2025-08-14 23:34:40.961459]
2025-08-14T23:34:42.5798184Z 
2025-08-14T23:34:42.5799055Z 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_06d9004fe703a4aa_.log
2025-08-14T23:34:42.5799727Z 
2025-08-14T23:34:43.8142408Z Uploading artifacts took 1.23 seconds
2025-08-14T23:34:46.7320703Z /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.
2025-08-14T23:34:46.7322289Z   import pkg_resources
2025-08-14T23:34:46.7480164Z /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.
2025-08-14T23:34:46.7481498Z   import pkg_resources
2025-08-14T23:34:46.7510138Z /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.
2025-08-14T23:34:46.7511437Z   import pkg_resources
2025-08-14T23:34:47.0914984Z Running cpp/cuda_optional_test 1/1 ... [2025-08-14 23:34:47.091088]
2025-08-14T23:34:47.0915425Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:34:47.0918991Z 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-a64436889ceaa4dc.xml', '-x', '--reruns=2'] ... [2025-08-14 23:34:47.091584]
2025-08-14T23:34:49.1610196Z 
2025-08-14T23:34:49.1611159Z 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_99835538e7d46a57_.log
2025-08-14T23:34:49.1612126Z 
2025-08-14T23:34:50.2063124Z Running test batch 'tests to run' cost 9.25 seconds
2025-08-14T23:34:50.9619349Z + run_if_exists cuda_tensor_interop_test
2025-08-14T23:34:50.9619767Z + local test_name=cuda_tensor_interop_test
2025-08-14T23:34:50.9620544Z + [[ -x build/bin/cuda_tensor_interop_test ]]
2025-08-14T23:34:50.9620956Z + echo 'Warning: cuda_tensor_interop_test does not exist.'
2025-08-14T23:34:50.9621289Z Warning: cuda_tensor_interop_test does not exist.
2025-08-14T23:34:50.9621648Z + run_if_exists cuda_complex_test
2025-08-14T23:34:50.9621878Z + local test_name=cuda_complex_test
2025-08-14T23:34:50.9622103Z + [[ -x build/bin/cuda_complex_test ]]
2025-08-14T23:34:50.9622514Z + python test/run_test.py --cpp --verbose -i cpp/cuda_complex_test
2025-08-14T23:34:53.5449612Z /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.
2025-08-14T23:34:53.5451104Z   import pkg_resources
2025-08-14T23:34:55.2481005Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-08-14T23:34:55.2579396Z Found test times from artifacts
2025-08-14T23:34:55.2994963Z Found test times from artifacts
2025-08-14T23:34:55.3007938Z Running all tests
2025-08-14T23:34:55.3013091Z Running parallel tests on 3 processes
2025-08-14T23:34:55.3013599Z Name: tests to run (est. time: 0.0min)
2025-08-14T23:34:55.3013999Z   Serial tests (0):
2025-08-14T23:34:55.3014302Z   Parallel tests (1):
2025-08-14T23:34:55.3014604Z     cpp/cuda_complex_test 1/1
2025-08-14T23:34:55.3014981Z Name: excluded (est. time: 0.0min)
2025-08-14T23:34:55.3015324Z   Serial tests (0):
2025-08-14T23:34:55.3015672Z   Parallel tests (0):
2025-08-14T23:34:55.3016013Z Running cpp/cuda_complex_test 1/1 ... [2025-08-14 23:34:55.301325]
2025-08-14T23:34:55.3016394Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:34:55.3020765Z 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-d10ab13b7c9ce80f.xml', '-x', '--reruns=2'] ... [2025-08-14 23:34:55.301735]
2025-08-14T23:34:56.9195277Z 
2025-08-14T23:34:56.9196431Z 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_78f307815b00c281_.log
2025-08-14T23:34:56.9197104Z 
2025-08-14T23:34:58.1738874Z Uploading artifacts took 1.25 seconds
2025-08-14T23:35:01.1422629Z /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.
2025-08-14T23:35:01.1424083Z   import pkg_resources
2025-08-14T23:35:01.1637492Z /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.
2025-08-14T23:35:01.1638839Z   import pkg_resources
2025-08-14T23:35:01.1640074Z /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.
2025-08-14T23:35:01.1641364Z   import pkg_resources
2025-08-14T23:35:01.4996728Z Running cpp/cuda_complex_test 1/1 ... [2025-08-14 23:35:01.499262]
2025-08-14T23:35:01.4997352Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:35:01.5001066Z 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-8d1cbd18eb7019e9.xml', '-x', '--reruns=2'] ... [2025-08-14 23:35:01.499740]
2025-08-14T23:35:05.0720793Z 
2025-08-14T23:35:05.0722099Z 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_73b758558d50e898_.log
2025-08-14T23:35:05.0722745Z 
2025-08-14T23:35:06.1147289Z Running test batch 'tests to run' cost 10.81 seconds
2025-08-14T23:35:06.8655838Z + run_if_exists cuda_complex_math_test
2025-08-14T23:35:06.8656380Z + local test_name=cuda_complex_math_test
2025-08-14T23:35:06.8656725Z + [[ -x build/bin/cuda_complex_math_test ]]
2025-08-14T23:35:06.8657153Z + python test/run_test.py --cpp --verbose -i cpp/cuda_complex_math_test
2025-08-14T23:35:09.4390375Z /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.
2025-08-14T23:35:09.4391848Z   import pkg_resources
2025-08-14T23:35:11.1234482Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-08-14T23:35:11.1333100Z Found test times from artifacts
2025-08-14T23:35:11.1747789Z Found test times from artifacts
2025-08-14T23:35:11.1760984Z Running all tests
2025-08-14T23:35:11.1764786Z Running parallel tests on 3 processes
2025-08-14T23:35:11.1765303Z Name: tests to run (est. time: 0.0min)
2025-08-14T23:35:11.1765763Z   Serial tests (0):
2025-08-14T23:35:11.1766126Z   Parallel tests (1):
2025-08-14T23:35:11.1766406Z     cpp/cuda_complex_math_test 1/1
2025-08-14T23:35:11.1766791Z Name: excluded (est. time: 0.0min)
2025-08-14T23:35:11.1767137Z   Serial tests (0):
2025-08-14T23:35:11.1767404Z   Parallel tests (0):
2025-08-14T23:35:11.1767703Z Running cpp/cuda_complex_math_test 1/1 ... [2025-08-14 23:35:11.176503]
2025-08-14T23:35:11.1768045Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:35:11.1771917Z 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-50f4918d7c15801b.xml', '-x', '--reruns=2'] ... [2025-08-14 23:35:11.176948]
2025-08-14T23:35:12.7950667Z 
2025-08-14T23:35:12.7951542Z 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_71832f2776a703f5_.log
2025-08-14T23:35:12.7952210Z 
2025-08-14T23:35:14.0321517Z Uploading artifacts took 1.24 seconds
2025-08-14T23:35:17.0079468Z /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.
2025-08-14T23:35:17.0080854Z   import pkg_resources
2025-08-14T23:35:17.0086477Z /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.
2025-08-14T23:35:17.0087772Z   import pkg_resources
2025-08-14T23:35:17.0114333Z /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.
2025-08-14T23:35:17.0115659Z   import pkg_resources
2025-08-14T23:35:17.3636991Z Running cpp/cuda_complex_math_test 1/1 ... [2025-08-14 23:35:17.363294]
2025-08-14T23:35:17.3637872Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:35:17.3640402Z 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-c71bc9eb0bb73f00.xml', '-x', '--reruns=2'] ... [2025-08-14 23:35:17.363746]
2025-08-14T23:35:25.8462849Z 
2025-08-14T23:35:25.8463971Z 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_04d365594a98a5f2_.log
2025-08-14T23:35:25.8464674Z 
2025-08-14T23:35:26.8677573Z Running test batch 'tests to run' cost 15.69 seconds
2025-08-14T23:35:27.6191581Z + run_if_exists cuda_cub_test
2025-08-14T23:35:27.6191944Z + local test_name=cuda_cub_test
2025-08-14T23:35:27.6192582Z + [[ -x build/bin/cuda_cub_test ]]
2025-08-14T23:35:27.6192993Z + python test/run_test.py --cpp --verbose -i cpp/cuda_cub_test
2025-08-14T23:35:30.2201227Z /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.
2025-08-14T23:35:30.2202707Z   import pkg_resources
2025-08-14T23:35:31.9178190Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-08-14T23:35:31.9278224Z Found test times from artifacts
2025-08-14T23:35:31.9694833Z Found test times from artifacts
2025-08-14T23:35:31.9707547Z Running all tests
2025-08-14T23:35:31.9710614Z Running parallel tests on 3 processes
2025-08-14T23:35:31.9710977Z Name: tests to run (est. time: 0.0min)
2025-08-14T23:35:31.9711280Z   Serial tests (0):
2025-08-14T23:35:31.9711499Z   Parallel tests (1):
2025-08-14T23:35:31.9711904Z     cpp/cuda_cub_test 1/1
2025-08-14T23:35:31.9712186Z Name: excluded (est. time: 0.0min)
2025-08-14T23:35:31.9712442Z   Serial tests (0):
2025-08-14T23:35:31.9712693Z   Parallel tests (0):
2025-08-14T23:35:31.9713434Z Running cpp/cuda_cub_test 1/1 ... [2025-08-14 23:35:31.971070]
2025-08-14T23:35:31.9713812Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:35:31.9717156Z 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-28ac7adccf7557d2.xml', '-x', '--reruns=2'] ... [2025-08-14 23:35:31.971505]
2025-08-14T23:35:33.5898075Z 
2025-08-14T23:35:33.5898845Z 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_dfc0331f518bd138_.log
2025-08-14T23:35:33.5899456Z 
2025-08-14T23:35:34.8190301Z Uploading artifacts took 1.23 seconds
2025-08-14T23:35:37.7597170Z /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.
2025-08-14T23:35:37.7598587Z   import pkg_resources
2025-08-14T23:35:37.7865744Z /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.
2025-08-14T23:35:37.7867082Z   import pkg_resources
2025-08-14T23:35:37.7868686Z /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.
2025-08-14T23:35:37.7870143Z   import pkg_resources
2025-08-14T23:35:38.1164776Z Running cpp/cuda_cub_test 1/1 ... [2025-08-14 23:35:38.116056]
2025-08-14T23:35:38.1165201Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:35:38.1167983Z 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-c84e4d41e23c39db.xml', '-x', '--reruns=2'] ... [2025-08-14 23:35:38.116546]
2025-08-14T23:35:40.4860877Z 
2025-08-14T23:35:40.4861853Z 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_d511bdbb0ee1f8b0_.log
2025-08-14T23:35:40.4862764Z 
2025-08-14T23:35:41.5459603Z Running test batch 'tests to run' cost 9.57 seconds
2025-08-14T23:35:42.3182664Z + run_if_exists cuda_atomic_ops_test
2025-08-14T23:35:42.3183107Z + local test_name=cuda_atomic_ops_test
2025-08-14T23:35:42.3183451Z + [[ -x build/bin/cuda_atomic_ops_test ]]
2025-08-14T23:35:42.3183875Z + python test/run_test.py --cpp --verbose -i cpp/cuda_atomic_ops_test
2025-08-14T23:35:44.9078279Z /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.
2025-08-14T23:35:44.9079688Z   import pkg_resources
2025-08-14T23:35:46.6101897Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-08-14T23:35:46.6199667Z Found test times from artifacts
2025-08-14T23:35:46.6610245Z Found test times from artifacts
2025-08-14T23:35:46.6622815Z Running all tests
2025-08-14T23:35:46.6625734Z Running parallel tests on 3 processes
2025-08-14T23:35:46.6626133Z Name: tests to run (est. time: 0.0min)
2025-08-14T23:35:46.6626408Z   Serial tests (0):
2025-08-14T23:35:46.6626630Z   Parallel tests (1):
2025-08-14T23:35:46.6626873Z     cpp/cuda_atomic_ops_test 1/1
2025-08-14T23:35:46.6627149Z Name: excluded (est. time: 0.0min)
2025-08-14T23:35:46.6627415Z   Serial tests (0):
2025-08-14T23:35:46.6627621Z   Parallel tests (0):
2025-08-14T23:35:46.6628117Z Running cpp/cuda_atomic_ops_test 1/1 ... [2025-08-14 23:35:46.662634]
2025-08-14T23:35:46.6628507Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:35:46.6632998Z 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-29ab874d8cb77e69.xml', '-x', '--reruns=2'] ... [2025-08-14 23:35:46.663069]
2025-08-14T23:35:48.2810404Z 
2025-08-14T23:35:48.2811346Z 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_ff2173c00349362c_.log
2025-08-14T23:35:48.2812249Z 
2025-08-14T23:35:49.6122068Z Uploading artifacts took 1.33 seconds
2025-08-14T23:35:52.5638512Z /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.
2025-08-14T23:35:52.5639929Z   import pkg_resources
2025-08-14T23:35:52.5867145Z /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.
2025-08-14T23:35:52.5868512Z   import pkg_resources
2025-08-14T23:35:52.5874934Z /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.
2025-08-14T23:35:52.5876108Z   import pkg_resources
2025-08-14T23:35:52.9261591Z Running cpp/cuda_atomic_ops_test 1/1 ... [2025-08-14 23:35:52.925784]
2025-08-14T23:35:52.9262033Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:35:52.9265728Z 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-3ba27d1282658dec.xml', '-x', '--reruns=2'] ... [2025-08-14 23:35:52.926270]
2025-08-14T23:35:55.9973249Z 
2025-08-14T23:35:55.9974506Z 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_2b02be704e4ecbd7_.log
2025-08-14T23:35:55.9975523Z 
2025-08-14T23:35:57.0561354Z Running test batch 'tests to run' cost 10.39 seconds
2025-08-14T23:35:57.8166505Z + '[' ON == ON ']'
2025-08-14T23:35:57.8167261Z + valgrind --suppressions=/var/lib/jenkins/workspace/aten/tools/valgrind.sup --error-exitcode=1 build/bin/basic '--gtest_filter=-*CUDA'
2025-08-14T23:35:57.8445342Z ==176957== Memcheck, a memory error detector
2025-08-14T23:35:57.8446221Z ==176957== Copyright (C) 2002-2022, and GNU GPL'd, by Julian Seward et al.
2025-08-14T23:35:57.8447255Z ==176957== Using Valgrind-3.20.0 and LibVEX; rerun with -h for copyright info
2025-08-14T23:35:57.8448160Z ==176957== Command: build/bin/basic --gtest_filter=-*CUDA
2025-08-14T23:35:57.8448776Z ==176957== 
2025-08-14T23:35:58.1634602Z ==176957== Warning: set address range perms: large range [0x4a9d000, 0x1909a000) (defined)
2025-08-14T23:35:58.1635273Z ==176957== Warning: set address range perms: large range [0x59b0000, 0x161ee000) (defined)
2025-08-14T23:36:00.8145859Z ==176957== Warning: set address range perms: large range [0x1909a000, 0x2bf0e000) (defined)
2025-08-14T23:36:01.8773974Z ==176957== Warning: set address range perms: large range [0x2d89b000, 0x44d50000) (noaccess)
2025-08-14T23:36:01.8774651Z ==176957== Warning: set address range perms: large range [0x2da00000, 0x44cb5000) (defined)
2025-08-14T23:36:01.9194114Z ==176957== Warning: set address range perms: large range [0x44cb5000, 0x5607a000) (noaccess)
2025-08-14T23:36:01.9194754Z ==176957== Warning: set address range perms: large range [0x44e00000, 0x55fc5000) (defined)
2025-08-14T23:36:01.9513302Z ==176957== Warning: set address range perms: large range [0x45dbd000, 0x55fc5000) (defined)
2025-08-14T23:36:01.9625369Z ==176957== Warning: set address range perms: large range [0x59c92000, 0x73439000) (defined)
2025-08-14T23:36:01.9626422Z ==176957== Warning: set address range perms: large range [0x5ec47000, 0x73083000) (defined)
2025-08-14T23:36:02.7009976Z ==176957== Warning: set address range perms: large range [0x73439000, 0x89eab000) (defined)
2025-08-14T23:36:02.7010667Z ==176957== Warning: set address range perms: large range [0x735ef000, 0x89e54000) (defined)
2025-08-14T23:36:02.8179232Z ==176957== Warning: set address range perms: large range [0x99d0b000, 0xcc1fd000) (noaccess)
2025-08-14T23:36:02.8179897Z ==176957== Warning: set address range perms: large range [0x99e00000, 0xcc0f2000) (defined)
2025-08-14T23:36:46.4047983Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2025-08-14T23:36:46.4282903Z Note: Google Test filter = -*CUDA
2025-08-14T23:36:46.4343234Z [==========] Running 6 tests from 1 test suite.
2025-08-14T23:36:46.4356517Z [----------] Global test environment set-up.
2025-08-14T23:36:46.4406678Z [----------] 6 tests from BasicTest
2025-08-14T23:36:46.4427190Z [ RUN      ] BasicTest.BasicTestCPU
2025-08-14T23:36:46.6800739Z ==176957== Warning: noted but unhandled ioctl 0x30000001 with no size/direction hints.
2025-08-14T23:36:46.6801546Z ==176957==    This could cause spurious value errors to appear.
2025-08-14T23:36:46.6802278Z ==176957==    See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper.
2025-08-14T23:36:46.6807011Z ==176957== Warning: noted but unhandled ioctl 0x4b with no size/direction hints.
2025-08-14T23:36:46.6807525Z ==176957==    This could cause spurious value errors to appear.
2025-08-14T23:36:46.6808024Z ==176957==    See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper.
2025-08-14T23:36:46.6814313Z ==176957== Warning: noted but unhandled ioctl 0x27 with no size/direction hints.
2025-08-14T23:36:46.6814747Z ==176957==    This could cause spurious value errors to appear.
2025-08-14T23:36:46.6815165Z ==176957==    See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper.
2025-08-14T23:36:46.8183802Z ==176957== Warning: noted but unhandled ioctl 0x25 with no size/direction hints.
2025-08-14T23:36:46.8184592Z ==176957==    This could cause spurious value errors to appear.
2025-08-14T23:36:46.8185449Z ==176957==    See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper.
2025-08-14T23:36:46.8961831Z ==176957== Warning: noted but unhandled ioctl 0x46 with no size/direction hints.
2025-08-14T23:36:46.8962461Z ==176957==    This could cause spurious value errors to appear.
2025-08-14T23:36:46.8962978Z ==176957==    See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper.
2025-08-14T23:36:46.8968604Z ==176957== Warning: noted but unhandled ioctl 0x17 with no size/direction hints.
2025-08-14T23:36:46.8969083Z ==176957==    This could cause spurious value errors to appear.
2025-08-14T23:36:46.8969579Z ==176957==    See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper.
2025-08-14T23:36:46.9060655Z ==176957== Warning: set address range perms: large range [0x200000000, 0x300200000) (noaccess)
2025-08-14T23:36:48.5035775Z    1037 ms
2025-08-14T23:36:48.5690972Z    37 ms
2025-08-14T23:36:48.7518233Z    53 ms
2025-08-14T23:36:51.3058595Z [       OK ] BasicTest.BasicTestCPU (4861 ms)
2025-08-14T23:36:51.3220863Z [ RUN      ] BasicTest.BasicTestHalfCPU
2025-08-14T23:36:51.7134544Z    352 ms
2025-08-14T23:36:51.7868090Z    30 ms
2025-08-14T23:36:51.9464144Z    51 ms
2025-08-14T23:36:51.9926295Z [       OK ] BasicTest.BasicTestHalfCPU (667 ms)
2025-08-14T23:36:52.0730061Z [ RUN      ] BasicTest.FactoryMethodsTest
2025-08-14T23:36:52.1613317Z ==176957== Warning: noted but unhandled ioctl 0x19 with no size/direction hints.
2025-08-14T23:36:52.1613836Z ==176957==    This could cause spurious value errors to appear.
2025-08-14T23:36:52.1614370Z ==176957==    See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper.
2025-08-14T23:36:52.1893602Z ==176957== Warning: noted but unhandled ioctl 0x49 with no size/direction hints.
2025-08-14T23:36:52.1894135Z ==176957==    This could cause spurious value errors to appear.
2025-08-14T23:36:52.1894640Z ==176957==    See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper.
2025-08-14T23:36:52.1904745Z ==176957== Warning: noted but unhandled ioctl 0x21 with no size/direction hints.
2025-08-14T23:36:52.1905243Z ==176957==    This could cause spurious value errors to appear.
2025-08-14T23:36:52.1905725Z ==176957==    See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper.
2025-08-14T23:36:52.3115702Z ==176957== Warning: noted but unhandled ioctl 0x1b with no size/direction hints.
2025-08-14T23:36:52.3116221Z ==176957==    This could cause spurious value errors to appear.
2025-08-14T23:36:52.3116728Z ==176957==    See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper.
2025-08-14T23:36:53.2182719Z [       OK ] BasicTest.FactoryMethodsTest (1136 ms)
2025-08-14T23:36:53.2183166Z [ RUN      ] BasicTest.BasicStdTestCPU
2025-08-14T23:36:53.2863178Z Simple example: called once
2025-08-14T23:36:53.3415611Z Didn't throw, call_once will not attempt again
2025-08-14T23:36:53.3441358Z [       OK ] BasicTest.BasicStdTestCPU (125 ms)
2025-08-14T23:36:53.3442449Z [ RUN      ] BasicTest.TestForBlobResizeCPU
2025-08-14T23:36:53.3591739Z [       OK ] BasicTest.TestForBlobResizeCPU (14 ms)
2025-08-14T23:36:53.3592291Z [ RUN      ] BasicTest.TestForBlobStridesResizeCPU
2025-08-14T23:36:53.3629548Z [       OK ] BasicTest.TestForBlobStridesResizeCPU (3 ms)
2025-08-14T23:36:53.3646855Z [----------] 6 tests from BasicTest (6921 ms total)
2025-08-14T23:36:53.3647200Z 
2025-08-14T23:36:53.3658235Z [----------] Global test environment tear-down
2025-08-14T23:36:53.3679196Z [==========] 6 tests from 1 test suite ran. (6941 ms total)
2025-08-14T23:36:53.3691156Z [  PASSED  ] 6 tests.
2025-08-14T23:36:55.6910799Z ==176957== 
2025-08-14T23:36:55.6921541Z ==176957== HEAP SUMMARY:
2025-08-14T23:36:55.6921860Z ==176957==     in use at exit: 17,380,999 bytes in 16,337 blocks
2025-08-14T23:36:55.6922720Z ==176957==   total heap usage: 1,043,538 allocs, 1,027,201 frees, 282,280,561 bytes allocated
2025-08-14T23:36:55.6923060Z ==176957== 
2025-08-14T23:36:58.4894707Z ==176957== LEAK SUMMARY:
2025-08-14T23:36:58.4895103Z ==176957==    definitely lost: 288 bytes in 3 blocks
2025-08-14T23:36:58.4895460Z ==176957==    indirectly lost: 192 bytes in 2 blocks
2025-08-14T23:36:58.4895820Z ==176957==      possibly lost: 96,576 bytes in 181 blocks
2025-08-14T23:36:58.4896201Z ==176957==    still reachable: 17,283,943 bytes in 16,151 blocks
2025-08-14T23:36:58.4896580Z ==176957==         suppressed: 0 bytes in 0 blocks
2025-08-14T23:36:58.4896990Z ==176957== Rerun with --leak-check=full to see details of leaked memory
2025-08-14T23:36:58.4897352Z ==176957== 
2025-08-14T23:36:58.4897645Z ==176957== For lists of detected and suppressed errors, rerun with: -s
2025-08-14T23:36:58.4898118Z ==176957== ERROR SUMMARY: 0 errors from 0 contexts (suppressed: 4 from 4)
2025-08-14T23:36:58.7452435Z + [[ -x build/bin/tensor_interop_test ]]
2025-08-14T23:36:58.7454960Z + [[ -n '' ]]
2025-08-14T23:36:58.7455295Z + assert_git_not_dirty
2025-08-14T23:36:58.7455548Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *rocm* ]]
2025-08-14T23:36:58.7455862Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *xla* ]]
2025-08-14T23:36:58.7461043Z ++ git status --porcelain
2025-08-14T23:36:58.7461860Z ++ grep -v '?? third_party'
2025-08-14T23:36:59.0303028Z ++ true
2025-08-14T23:36:59.0304524Z + git_status=
2025-08-14T23:36:59.0304934Z + [[ -n '' ]]
2025-08-14T23:36:59.0305205Z + test_libtorch 1
2025-08-14T23:36:59.0305428Z + local SHARD=1
2025-08-14T23:36:59.0305649Z + [[ default != \s\l\o\w ]]
2025-08-14T23:36:59.0305910Z + echo 'Testing libtorch'
2025-08-14T23:36:59.0306139Z Testing libtorch
2025-08-14T23:36:59.0306836Z + 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
2025-08-14T23:36:59.0317724Z + 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
2025-08-14T23:36:59.0330045Z + 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
2025-08-14T23:36:59.0342961Z + 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
2025-08-14T23:36:59.0355622Z + 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
2025-08-14T23:36:59.0371219Z + 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
2025-08-14T23:36:59.0382952Z + 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
2025-08-14T23:36:59.0396355Z + export CPP_TESTS_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-08-14T23:36:59.0397090Z + CPP_TESTS_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-08-14T23:36:59.0397587Z + [[ -z 1 ]]
2025-08-14T23:36:59.0397789Z + [[ 1 == \1 ]]
2025-08-14T23:36:59.0398000Z + test_libtorch_api
2025-08-14T23:36:59.0398305Z + MNIST_DIR=/var/lib/jenkins/workspace/test/cpp/api/mnist
2025-08-14T23:36:59.0398817Z + python tools/download_mnist.py --quiet -d /var/lib/jenkins/workspace/test/cpp/api/mnist
2025-08-14T23:36:59.0815680Z Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz ...
2025-08-14T23:36:59.1134263Z Failed to download (trying next):
2025-08-14T23:36:59.1134873Z HTTP Error 404: Not Found
2025-08-14T23:36:59.1135774Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-images-idx3-ubyte.gz ...
2025-08-14T23:36:59.4466906Z Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz ...
2025-08-14T23:36:59.4517599Z Failed to download (trying next):
2025-08-14T23:36:59.4517922Z HTTP Error 404: Not Found
2025-08-14T23:36:59.4518436Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-labels-idx1-ubyte.gz ...
2025-08-14T23:36:59.5066485Z Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz ...
2025-08-14T23:36:59.5117897Z Failed to download (trying next):
2025-08-14T23:36:59.5118195Z HTTP Error 404: Not Found
2025-08-14T23:36:59.5118638Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-images-idx3-ubyte.gz ...
2025-08-14T23:36:59.5914797Z Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz ...
2025-08-14T23:36:59.5963406Z Failed to download (trying next):
2025-08-14T23:36:59.5963986Z HTTP Error 404: Not Found
2025-08-14T23:36:59.5964855Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-labels-idx1-ubyte.gz ...
2025-08-14T23:36:59.6393029Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *asan* ]]
2025-08-14T23:36:59.6393472Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *slow-gradcheck* ]]
2025-08-14T23:36:59.6393828Z + OMP_NUM_THREADS=2
2025-08-14T23:36:59.6394211Z + TORCH_CPP_TEST_MNIST_PATH=/var/lib/jenkins/workspace/test/cpp/api/mnist
2025-08-14T23:36:59.6394763Z + python test/run_test.py --cpp --verbose -i cpp/test_api -k 'not IMethodTest'
2025-08-14T23:37:02.2160704Z /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.
2025-08-14T23:37:02.2162201Z   import pkg_resources
2025-08-14T23:37:03.9077564Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-08-14T23:37:03.9175256Z Found test times from artifacts
2025-08-14T23:37:03.9585981Z Found test times from artifacts
2025-08-14T23:37:03.9597866Z Running all tests
2025-08-14T23:37:03.9601053Z Running parallel tests on 3 processes
2025-08-14T23:37:03.9601442Z Name: tests to run (est. time: 0.0min)
2025-08-14T23:37:03.9601733Z   Serial tests (0):
2025-08-14T23:37:03.9602083Z   Parallel tests (1):
2025-08-14T23:37:03.9602318Z     cpp/test_api 1/1
2025-08-14T23:37:03.9602876Z Name: excluded (est. time: 0.0min)
2025-08-14T23:37:03.9603132Z   Serial tests (0):
2025-08-14T23:37:03.9603349Z   Parallel tests (0):
2025-08-14T23:37:03.9606923Z Running cpp/test_api 1/1 ... [2025-08-14 23:37:03.960480]
2025-08-14T23:37:03.9607290Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:37:03.9611556Z 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-743d3ccd30105d30.xml', '-k', 'not IMethodTest', '-x', '--reruns=2'] ... [2025-08-14 23:37:03.960913]
2025-08-14T23:37:06.2301269Z 
2025-08-14T23:37:06.2302256Z cpp/test_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.test_api_1.1_cc73b5164e20499e_.log
2025-08-14T23:37:06.2303109Z 
2025-08-14T23:37:07.5381010Z Uploading artifacts took 1.31 seconds
2025-08-14T23:37:10.4223434Z /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.
2025-08-14T23:37:10.4224841Z   import pkg_resources
2025-08-14T23:37:10.4422407Z /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.
2025-08-14T23:37:10.4423757Z   import pkg_resources
2025-08-14T23:37:10.4425056Z /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.
2025-08-14T23:37:10.4426331Z   import pkg_resources
2025-08-14T23:37:10.7823963Z Running cpp/test_api 1/1 ... [2025-08-14 23:37:10.782001]
2025-08-14T23:37:10.7824371Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-14T23:37:10.7827627Z 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-62bbb3102e7d4dcb.xml', '-k', 'not IMethodTest', '-x', '--reruns=2'] ... [2025-08-14 23:37:10.782453]
2025-08-14T23:40:24.4999959Z 
2025-08-14T23:40:24.5000747Z cpp/test_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.test_api_1.1_2bf7add6b62530bc_.log
2025-08-14T23:40:24.5010072Z 
2025-08-14T23:40:25.5612496Z Running test batch 'tests to run' cost 201.6 seconds
2025-08-14T23:40:26.3195379Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *android* ]]
2025-08-14T23:40:26.3195879Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *cuda* ]]
2025-08-14T23:40:26.3196197Z + [[ -z 1 ]]
2025-08-14T23:40:26.3196406Z + [[ 1 == \2 ]]
2025-08-14T23:40:26.3196618Z + assert_git_not_dirty
2025-08-14T23:40:26.3196908Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *rocm* ]]
2025-08-14T23:40:26.3197280Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *xla* ]]
2025-08-14T23:40:26.3201539Z ++ git status --porcelain
2025-08-14T23:40:26.3203273Z ++ grep -v '?? third_party'
2025-08-14T23:40:26.6051950Z ++ true
2025-08-14T23:40:26.6053227Z + git_status=
2025-08-14T23:40:26.6053567Z + [[ -n '' ]]
2025-08-14T23:40:26.6054332Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *xpu* ]]
2025-08-14T23:40:26.6055550Z + sccache_epilogue
2025-08-14T23:40:26.6056005Z + echo '::group::Sccache Compilation Log'
2025-08-14T23:40:26.6056966Z ##[group]Sccache Compilation Log
2025-08-14T23:40:26.6057367Z + echo '=================== sccache compilation log ==================='
2025-08-14T23:40:26.6057979Z =================== sccache compilation log ===================
2025-08-14T23:40:26.6058697Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log
2025-08-14T23:40:26.6175717Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ==========='
2025-08-14T23:40:26.6176600Z =========== If your build fails, please take a look at the log above for possible reasons ===========
2025-08-14T23:40:26.6177043Z + sccache --show-stats
2025-08-14T23:40:26.6198492Z Compile requests                     525
2025-08-14T23:40:26.6198745Z Compile requests executed            165
2025-08-14T23:40:26.6198993Z Cache hits                           120
2025-08-14T23:40:26.6199221Z Cache hits (C/C++)                   120
2025-08-14T23:40:26.6199624Z Cache misses                          44
2025-08-14T23:40:26.6199849Z Cache misses (C/C++)                  44
2025-08-14T23:40:26.6200181Z Cache hits rate                    73.17 %
2025-08-14T23:40:26.6200425Z Cache hits rate (C/C++)            73.17 %
2025-08-14T23:40:26.6200670Z Cache timeouts                         0
2025-08-14T23:40:26.6200908Z Cache read errors                      0
2025-08-14T23:40:26.6201311Z Forced recaches                        0
2025-08-14T23:40:26.6201697Z Cache write errors                     0
2025-08-14T23:40:26.6202181Z Cache errors                           0
2025-08-14T23:40:26.6202559Z Compilations                          44
2025-08-14T23:40:26.6202965Z Compilation failures                   1
2025-08-14T23:40:26.6203365Z Non-cacheable compilations             0
2025-08-14T23:40:26.6203642Z Non-cacheable calls                    4
2025-08-14T23:40:26.6203867Z Non-compilation calls                356
2025-08-14T23:40:26.6204087Z Unsupported compiler calls             0
2025-08-14T23:40:26.6204323Z Average cache write                0.064 s
2025-08-14T23:40:26.6204559Z Average compiler                  11.016 s
2025-08-14T23:40:26.6204779Z Average cache read hit             0.055 s
2025-08-14T23:40:26.6205022Z Failed distributed compilations        0
2025-08-14T23:40:26.6205189Z 
2025-08-14T23:40:26.6205264Z Non-cacheable reasons:
2025-08-14T23:40:26.6205473Z -E                                     4
2025-08-14T23:40:26.6205624Z 
2025-08-14T23:40:26.6205799Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-08-14T23:40:26.6206140Z Version (client)                0.10.0
2025-08-14T23:40:26.6206376Z + sccache --stop-server
2025-08-14T23:40:26.6222949Z Stopping sccache server...
2025-08-14T23:40:26.6225300Z Compile requests                     525
2025-08-14T23:40:26.6225622Z Compile requests executed            165
2025-08-14T23:40:26.6225926Z Cache hits                           120
2025-08-14T23:40:26.6226193Z Cache hits (C/C++)                   120
2025-08-14T23:40:26.6226470Z Cache misses                          44
2025-08-14T23:40:26.6226739Z Cache misses (C/C++)                  44
2025-08-14T23:40:26.6227000Z Cache hits rate                    73.17 %
2025-08-14T23:40:26.6227299Z Cache hits rate (C/C++)            73.17 %
2025-08-14T23:40:26.6227610Z Cache timeouts                         0
2025-08-14T23:40:26.6228109Z Cache read errors                      0
2025-08-14T23:40:26.6228584Z Forced recaches                        0
2025-08-14T23:40:26.6229071Z Cache write errors                     0
2025-08-14T23:40:26.6229577Z Cache errors                           0
2025-08-14T23:40:26.6230059Z Compilations                          44
2025-08-14T23:40:26.6230515Z Compilation failures                   1
2025-08-14T23:40:26.6230896Z Non-cacheable compilations             0
2025-08-14T23:40:26.6231269Z Non-cacheable calls                    4
2025-08-14T23:40:26.6231667Z Non-compilation calls                356
2025-08-14T23:40:26.6232081Z Unsupported compiler calls             0
2025-08-14T23:40:26.6232483Z Average cache write                0.064 s
2025-08-14T23:40:26.6232889Z Average compiler                  11.016 s
2025-08-14T23:40:26.6233554Z Average cache read hit             0.055 s
2025-08-14T23:40:26.6233814Z Failed distributed compilations        0
2025-08-14T23:40:26.6233977Z 
2025-08-14T23:40:26.6234063Z Non-cacheable reasons:
2025-08-14T23:40:26.6234254Z -E                                     4
2025-08-14T23:40:26.6234399Z 
2025-08-14T23:40:26.6234577Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-08-14T23:40:26.6234900Z Version (client)                0.10.0
2025-08-14T23:40:26.6235132Z + echo ::endgroup::
2025-08-14T23:40:26.6235499Z ##[endgroup]
2025-08-14T23:40:26.6235660Z + cleanup_workspace
2025-08-14T23:40:26.6236025Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.'
2025-08-14T23:40:26.6236651Z sudo may print the following warning message that can be ignored. The chown command will still run.
2025-08-14T23:40:26.6237172Z + echo '    sudo: setrlimit(RLIMIT_STACK): Operation not permitted'
2025-08-14T23:40:26.6237737Z     sudo: setrlimit(RLIMIT_STACK): Operation not permitted
2025-08-14T23:40:26.6238369Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42'
2025-08-14T23:40:26.6239070Z For more details refer to https://github.com/sudo-project/sudo/issues/42
2025-08-14T23:40:26.6239505Z + sudo chown -R 1000 /var/lib/jenkins/workspace
2025-08-14T23:40:27.4684058Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main
2025-08-14T23:40:27.4684449Z with:
2025-08-14T23:40:27.4684637Z   benchmark-results-dir: test/test-reports
2025-08-14T23:40:27.4684879Z   dry-run: false
2025-08-14T23:40:27.4685064Z   schema-version: v3
2025-08-14T23:40:27.4685439Z   github-token: ***
2025-08-14T23:40:27.4685613Z env:
2025-08-14T23:40:27.4685774Z   GIT_DEFAULT_BRANCH: main
2025-08-14T23:40:27.4686027Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T23:40:27.4686424Z   DOCKER_CONTAINER_ID: 244e1146d911f25210508ef2770e21716f1a5dc3066ef15081fb49917f20fa56
2025-08-14T23:40:27.4686783Z ##[endgroup]
2025-08-14T23:40:27.4710780Z ##[group]Run set -eux
2025-08-14T23:40:27.4711005Z set -eux
2025-08-14T23:40:27.4711284Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-08-14T23:40:27.4711597Z 
2025-08-14T23:40:27.4712034Z DEVICE_NAME=""
2025-08-14T23:40:27.4712271Z DEVICE_TYPE=""
2025-08-14T23:40:27.4712444Z 
2025-08-14T23:40:27.4712618Z if command -v nvidia-smi; then
2025-08-14T23:40:27.4712945Z   # NB: I'm using PyTorch here to get the device name, however, it needs to
2025-08-14T23:40:27.4713356Z   # install the correct version of PyTorch manually for now. Any PyTorch
2025-08-14T23:40:27.4713732Z   # version is fine, I just use 2.7.1 to satify PYPIDEP linter
2025-08-14T23:40:27.4714049Z   python3 -mpip install torch==2.7.1
2025-08-14T23:40:27.4714316Z elif command -v rocminfo; then
2025-08-14T23:40:27.4714621Z   # NB: Installing torch on ROCm runner with pip here causes CI to fail
2025-08-14T23:40:27.4715023Z   # with a memoryview is too large error only on MI300 runners. Is pip
2025-08-14T23:40:27.4715416Z   # version on ROCm runner there too old? As a workaround, let's use the
2025-08-14T23:40:27.4715773Z   # GPU device name coming from rocminfo instead
2025-08-14T23:40:27.4716027Z   DEVICE_NAME=rocm
2025-08-14T23:40:27.4716379Z   DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs)
2025-08-14T23:40:27.4716739Z fi
2025-08-14T23:40:27.4716902Z 
2025-08-14T23:40:27.4717105Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV
2025-08-14T23:40:27.4717395Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV
2025-08-14T23:40:27.4728968Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T23:40:27.4729254Z env:
2025-08-14T23:40:27.4729427Z   GIT_DEFAULT_BRANCH: main
2025-08-14T23:40:27.4729688Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T23:40:27.4730180Z   DOCKER_CONTAINER_ID: 244e1146d911f25210508ef2770e21716f1a5dc3066ef15081fb49917f20fa56
2025-08-14T23:40:27.4730539Z ##[endgroup]
2025-08-14T23:40:27.4761808Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-08-14T23:40:27.8253090Z Defaulting to user installation because normal site-packages is not writeable
2025-08-14T23:40:28.8035302Z Collecting boto3==1.35.33
2025-08-14T23:40:28.8174312Z   Downloading boto3-1.35.33-py3-none-any.whl (139 kB)
2025-08-14T23:40:29.0975434Z Collecting psutil==7.0.0
2025-08-14T23:40:29.1008482Z   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)
2025-08-14T23:40:29.1257730Z Collecting pynvml==12.0.0
2025-08-14T23:40:29.1286619Z   Downloading pynvml-12.0.0-py3-none-any.whl (26 kB)
2025-08-14T23:40:29.1697167Z Collecting s3transfer<0.11.0,>=0.10.0
2025-08-14T23:40:29.1724332Z   Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB)
2025-08-14T23:40:29.1774559Z 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)
2025-08-14T23:40:30.1849286Z Collecting botocore<1.36.0,>=1.35.33
2025-08-14T23:40:30.1879043Z   Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB)
2025-08-14T23:40:30.3674225Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0
2025-08-14T23:40:30.3703162Z   Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB)
2025-08-14T23:40:30.3782985Z 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)
2025-08-14T23:40:30.3788036Z 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)
2025-08-14T23:40:30.5775890Z 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)
2025-08-14T23:40:30.6945032Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3
2025-08-14T23:40:31.1988782Z   Attempting uninstall: nvidia-ml-py
2025-08-14T23:40:31.1989987Z     Found existing installation: nvidia-ml-py 11.525.84
2025-08-14T23:40:31.2002663Z     Uninstalling nvidia-ml-py-11.525.84:
2025-08-14T23:40:31.2177243Z       Successfully uninstalled nvidia-ml-py-11.525.84
2025-08-14T23:40:31.2669063Z   Attempting uninstall: psutil
2025-08-14T23:40:31.2670926Z     Found existing installation: psutil 5.9.8
2025-08-14T23:40:31.2744394Z     Uninstalling psutil-5.9.8:
2025-08-14T23:40:31.2750557Z       Successfully uninstalled psutil-5.9.8
2025-08-14T23:40:31.4210785Z 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
2025-08-14T23:40:31.5075953Z + DEVICE_NAME=
2025-08-14T23:40:31.5076384Z + DEVICE_TYPE=
2025-08-14T23:40:31.5076636Z + command -v nvidia-smi
2025-08-14T23:40:31.5076937Z + python3 -mpip install torch==2.7.1
2025-08-14T23:40:31.5077236Z /usr/bin/nvidia-smi
2025-08-14T23:40:31.7141478Z Defaulting to user installation because normal site-packages is not writeable
2025-08-14T23:40:31.9412267Z Collecting torch==2.7.1
2025-08-14T23:40:31.9582302Z   Downloading torch-2.7.1-cp39-cp39-manylinux_2_28_x86_64.whl (821.1 MB)
2025-08-14T23:40:43.7777428Z Collecting nvidia-cusolver-cu12==11.7.1.2
2025-08-14T23:40:43.7829868Z   Downloading nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (158.2 MB)
2025-08-14T23:40:45.3599582Z Collecting nvidia-nvjitlink-cu12==12.6.85
2025-08-14T23:40:45.3639326Z   Downloading nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl (19.7 MB)
2025-08-14T23:40:45.5966674Z Collecting filelock
2025-08-14T23:40:45.5999164Z   Downloading filelock-3.19.1-py3-none-any.whl (15 kB)
2025-08-14T23:40:45.6284202Z Collecting nvidia-cuda-cupti-cu12==12.6.80
2025-08-14T23:40:45.6343772Z   Downloading nvidia_cuda_cupti_cu12-12.6.80-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (8.9 MB)
2025-08-14T23:40:45.7316994Z Collecting nvidia-cusparselt-cu12==0.6.3
2025-08-14T23:40:45.7389138Z   Downloading nvidia_cusparselt_cu12-0.6.3-py3-none-manylinux2014_x86_64.whl (156.8 MB)
2025-08-14T23:40:47.2240373Z Collecting nvidia-cublas-cu12==12.6.4.1
2025-08-14T23:40:47.2281598Z   Downloading nvidia_cublas_cu12-12.6.4.1-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (393.1 MB)
2025-08-14T23:40:52.5455818Z Collecting nvidia-cuda-runtime-cu12==12.6.77
2025-08-14T23:40:52.5494480Z   Downloading nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (897 kB)
2025-08-14T23:40:52.6232832Z Collecting nvidia-cufft-cu12==11.3.0.4
2025-08-14T23:40:52.6300993Z   Downloading nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (200.2 MB)
2025-08-14T23:40:54.7933639Z Collecting nvidia-cusparse-cu12==12.5.4.2
2025-08-14T23:40:54.8008234Z   Downloading nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (216.6 MB)
2025-08-14T23:40:57.1797328Z Collecting nvidia-nccl-cu12==2.26.2
2025-08-14T23:40:57.1828963Z   Downloading nvidia_nccl_cu12-2.26.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (201.3 MB)
2025-08-14T23:40:59.4487319Z Collecting triton==3.3.1
2025-08-14T23:40:59.4567803Z   Downloading triton-3.3.1-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (155.6 MB)
2025-08-14T23:41:00.9299988Z Collecting nvidia-curand-cu12==10.3.7.77
2025-08-14T23:41:00.9333909Z   Downloading nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (56.3 MB)
2025-08-14T23:41:01.5689341Z Collecting networkx
2025-08-14T23:41:01.5719346Z   Downloading networkx-3.2.1-py3-none-any.whl (1.6 MB)
2025-08-14T23:41:01.6050723Z Collecting nvidia-cufile-cu12==1.11.1.6
2025-08-14T23:41:01.6123621Z   Downloading nvidia_cufile_cu12-1.11.1.6-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (1.1 MB)
2025-08-14T23:41:01.6507713Z Collecting nvidia-cuda-nvrtc-cu12==12.6.77
2025-08-14T23:41:01.6535833Z   Downloading nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl (23.7 MB)
2025-08-14T23:41:01.9295217Z Collecting fsspec
2025-08-14T23:41:01.9325908Z   Downloading fsspec-2025.7.0-py3-none-any.whl (199 kB)
2025-08-14T23:41:01.9675250Z Collecting nvidia-cudnn-cu12==9.5.1.17
2025-08-14T23:41:01.9736330Z   Downloading nvidia_cudnn_cu12-9.5.1.17-py3-none-manylinux_2_28_x86_64.whl (571.0 MB)
2025-08-14T23:41:09.8848716Z Requirement already satisfied: typing-extensions>=4.10.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from torch==2.7.1) (4.14.1)
2025-08-14T23:41:09.9235025Z Collecting sympy>=1.13.3
2025-08-14T23:41:09.9267528Z   Downloading sympy-1.14.0-py3-none-any.whl (6.3 MB)
2025-08-14T23:41:09.9902887Z Requirement already satisfied: jinja2 in /usr/lib/python3.9/site-packages (from torch==2.7.1) (2.11.3)
2025-08-14T23:41:10.0260927Z Collecting nvidia-nvtx-cu12==12.6.77
2025-08-14T23:41:10.0299366Z   Downloading nvidia_nvtx_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (89 kB)
2025-08-14T23:41:10.0572673Z 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)
2025-08-14T23:41:10.0810143Z Collecting mpmath<1.4,>=1.1.0
2025-08-14T23:41:10.0838796Z   Downloading mpmath-1.3.0-py3-none-any.whl (536 kB)
2025-08-14T23:41:10.1629743Z Requirement already satisfied: MarkupSafe>=0.23 in /usr/lib64/python3.9/site-packages (from jinja2->torch==2.7.1) (1.1.1)
2025-08-14T23:41:10.4614955Z 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
2025-08-14T23:41:18.1337326Z   WARNING: The scripts proton and proton-viewer are installed in '/home/ec2-user/.local/bin' which is not on PATH.
2025-08-14T23:41:18.1338512Z   Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
2025-08-14T23:41:21.5945979Z   WARNING: The script isympy is installed in '/home/ec2-user/.local/bin' which is not on PATH.
2025-08-14T23:41:21.5946656Z   Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
2025-08-14T23:41:47.5633671Z   WARNING: The scripts torchfrtrace and torchrun are installed in '/home/ec2-user/.local/bin' which is not on PATH.
2025-08-14T23:41:47.5634540Z   Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
2025-08-14T23:41:47.7497890Z 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
2025-08-14T23:41:48.2615749Z + echo DEVICE_NAME=
2025-08-14T23:41:48.2616072Z + echo DEVICE_TYPE=
2025-08-14T23:41:48.2638203Z ##[group]Run set -eux
2025-08-14T23:41:48.2638416Z set -eux
2025-08-14T23:41:48.2638574Z 
2025-08-14T23:41:48.2638753Z if [[ -z "${GITHUB_TOKEN}" ]]; then
2025-08-14T23:41:48.2639024Z   echo "Missing github-token input"
2025-08-14T23:41:48.2639243Z   exit 1
2025-08-14T23:41:48.2639409Z fi
2025-08-14T23:41:48.2649756Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T23:41:48.2650045Z env:
2025-08-14T23:41:48.2650218Z   GIT_DEFAULT_BRANCH: main
2025-08-14T23:41:48.2650483Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T23:41:48.2650891Z   DOCKER_CONTAINER_ID: 244e1146d911f25210508ef2770e21716f1a5dc3066ef15081fb49917f20fa56
2025-08-14T23:41:48.2651246Z   DEVICE_NAME: 
2025-08-14T23:41:48.2651418Z   DEVICE_TYPE: 
2025-08-14T23:41:48.2651761Z   GITHUB_TOKEN: ***
2025-08-14T23:41:48.2651952Z ##[endgroup]
2025-08-14T23:41:48.2678514Z + [[ -z *** ]]
2025-08-14T23:41:48.2775204Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main
2025-08-14T23:41:48.2775513Z with:
2025-08-14T23:41:48.2775789Z   github-token: ***
2025-08-14T23:41:48.2775970Z env:
2025-08-14T23:41:48.2776134Z   GIT_DEFAULT_BRANCH: main
2025-08-14T23:41:48.2776379Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T23:41:48.2776781Z   DOCKER_CONTAINER_ID: 244e1146d911f25210508ef2770e21716f1a5dc3066ef15081fb49917f20fa56
2025-08-14T23:41:48.2777124Z   DEVICE_NAME: 
2025-08-14T23:41:48.2777299Z   DEVICE_TYPE: 
2025-08-14T23:41:48.2777462Z ##[endgroup]
2025-08-14T23:41:48.2869283Z ##[group]Run set -eux
2025-08-14T23:41:48.2869584Z set -eux
2025-08-14T23:41:48.2869789Z 
2025-08-14T23:41:48.2870153Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-08-14T23:41:48.2888562Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T23:41:48.2888864Z env:
2025-08-14T23:41:48.2889034Z   GIT_DEFAULT_BRANCH: main
2025-08-14T23:41:48.2889280Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T23:41:48.2889674Z   DOCKER_CONTAINER_ID: 244e1146d911f25210508ef2770e21716f1a5dc3066ef15081fb49917f20fa56
2025-08-14T23:41:48.2890028Z   DEVICE_NAME: 
2025-08-14T23:41:48.2890259Z   DEVICE_TYPE: 
2025-08-14T23:41:48.2890559Z   GITHUB_TOKEN: ***
2025-08-14T23:41:48.2890757Z ##[endgroup]
2025-08-14T23:41:48.2915466Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 16976255045 i-0a9f0b7ba2fb10a0b
2025-08-14T23:41:49.3612496Z setting job-id=48128492217
2025-08-14T23:41:49.3613301Z setting job-name=linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu)
2025-08-14T23:41:49.3826755Z ##[group]Run set -eux
2025-08-14T23:41:49.3826957Z set -eux
2025-08-14T23:41:49.3827139Z 
2025-08-14T23:41:49.3827427Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \
2025-08-14T23:41:49.3827815Z   --schema-version "${SCHEMA_VERSION}" \
2025-08-14T23:41:49.3828083Z   --repo "${REPO}" \
2025-08-14T23:41:49.3828308Z   --head-branch "${HEAD_BRANCH}" \
2025-08-14T23:41:49.3828546Z   --head-sha "${HEAD_SHA}" \
2025-08-14T23:41:49.3828902Z   --workflow-id "${WORKFLOW_RUN_ID}" \
2025-08-14T23:41:49.3829168Z   --run-attempt "${RUN_ATTEMPT}" \
2025-08-14T23:41:49.3829409Z   --job-id "${JOB_ID}" \
2025-08-14T23:41:49.3829633Z   --job-name "${JOB_NAME}"
2025-08-14T23:41:49.3836790Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T23:41:49.3837076Z env:
2025-08-14T23:41:49.3837250Z   GIT_DEFAULT_BRANCH: main
2025-08-14T23:41:49.3837491Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T23:41:49.3838051Z   DOCKER_CONTAINER_ID: 244e1146d911f25210508ef2770e21716f1a5dc3066ef15081fb49917f20fa56
2025-08-14T23:41:49.3838422Z   DEVICE_NAME: 
2025-08-14T23:41:49.3838588Z   DEVICE_TYPE: 
2025-08-14T23:41:49.3838751Z   SCHEMA_VERSION: v3
2025-08-14T23:41:49.3838929Z   REPO: pytorch/pytorch
2025-08-14T23:41:49.3839110Z   HEAD_BRANCH: refs/heads/main
2025-08-14T23:41:49.3839337Z   HEAD_SHA: 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T23:41:49.3839585Z   WORKFLOW_RUN_ID: 16976255045
2025-08-14T23:41:49.3839768Z   RUN_ATTEMPT: 1
2025-08-14T23:41:49.3839930Z   JOB_ID: 48128492217
2025-08-14T23:41:49.3840308Z   JOB_NAME: linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu)
2025-08-14T23:41:49.3840722Z ##[endgroup]
2025-08-14T23:41:49.3868687Z + 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 1fc683cf17c8c673044538d10266c00f92987be2 --workflow-id 16976255045 --run-attempt 1 --job-id 48128492217 --job-name 'linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu)'
2025-08-14T23:41:49.4283476Z ##[group]Run set -eux
2025-08-14T23:41:49.4283674Z set -eux
2025-08-14T23:41:49.4283840Z 
2025-08-14T23:41:49.4284121Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py"
2025-08-14T23:41:49.4290387Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T23:41:49.4290673Z env:
2025-08-14T23:41:49.4290842Z   GIT_DEFAULT_BRANCH: main
2025-08-14T23:41:49.4291087Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T23:41:49.4291485Z   DOCKER_CONTAINER_ID: 244e1146d911f25210508ef2770e21716f1a5dc3066ef15081fb49917f20fa56
2025-08-14T23:41:49.4291840Z   DEVICE_NAME: 
2025-08-14T23:41:49.4292012Z   DEVICE_TYPE: 
2025-08-14T23:41:49.4292176Z ##[endgroup]
2025-08-14T23:41:49.4315881Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py
2025-08-14T23:41:50.2563961Z /home/ec2-user/.local/lib/python3.9/site-packages/torch/_subclasses/functional_tensor.py:276: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:81.)
2025-08-14T23:41:50.2565129Z   cpu = _conversion_method_template(device=torch.device("cpu"))
2025-08-14T23:41:51.1270900Z ##[group]Run set -eux
2025-08-14T23:41:51.1271239Z set -eux
2025-08-14T23:41:51.1271428Z 
2025-08-14T23:41:51.1271722Z # TODO (huydhn): Implement this part
2025-08-14T23:41:51.1272013Z echo "dependencies={}" >> "${GITHUB_OUTPUT}"
2025-08-14T23:41:51.1279650Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T23:41:51.1279934Z env:
2025-08-14T23:41:51.1280097Z   GIT_DEFAULT_BRANCH: main
2025-08-14T23:41:51.1280357Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T23:41:51.1280743Z   DOCKER_CONTAINER_ID: 244e1146d911f25210508ef2770e21716f1a5dc3066ef15081fb49917f20fa56
2025-08-14T23:41:51.1281098Z   DEVICE_NAME: 
2025-08-14T23:41:51.1281271Z   DEVICE_TYPE: 
2025-08-14T23:41:51.1281442Z ##[endgroup]
2025-08-14T23:41:51.1305795Z + echo 'dependencies={}'
2025-08-14T23:41:51.1373993Z ##[group]Run set -eux
2025-08-14T23:41:51.1374320Z set -eux
2025-08-14T23:41:51.1374484Z 
2025-08-14T23:41:51.1374678Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then
2025-08-14T23:41:51.1374996Z   echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping"
2025-08-14T23:41:51.1375358Z   # We don't want the job to fail if the directory doesn't exist
2025-08-14T23:41:51.1375639Z   exit 0
2025-08-14T23:41:51.1375796Z fi
2025-08-14T23:41:51.1375955Z 
2025-08-14T23:41:51.1376124Z if [[ "${DRY_RUN}" == "true" ]]; then
2025-08-14T23:41:51.1376631Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-08-14T23:41:51.1377042Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-08-14T23:41:51.1377351Z     --metadata "${BENCHMARK_METADATA}" \
2025-08-14T23:41:51.1377623Z     --runners "${RUNNER_INFO}" \
2025-08-14T23:41:51.1377871Z     --dependencies "${DEPENDENCIES}" \
2025-08-14T23:41:51.1378110Z     --dry-run
2025-08-14T23:41:51.1378284Z else
2025-08-14T23:41:51.1378559Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-08-14T23:41:51.1378972Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-08-14T23:41:51.1379273Z     --metadata "${BENCHMARK_METADATA}" \
2025-08-14T23:41:51.1379524Z     --runners "${RUNNER_INFO}" \
2025-08-14T23:41:51.1379770Z     --dependencies "${DEPENDENCIES}"
2025-08-14T23:41:51.1379996Z fi
2025-08-14T23:41:51.1386229Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T23:41:51.1386518Z env:
2025-08-14T23:41:51.1386671Z   GIT_DEFAULT_BRANCH: main
2025-08-14T23:41:51.1386915Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T23:41:51.1387300Z   DOCKER_CONTAINER_ID: 244e1146d911f25210508ef2770e21716f1a5dc3066ef15081fb49917f20fa56
2025-08-14T23:41:51.1387650Z   DEVICE_NAME: 
2025-08-14T23:41:51.1387819Z   DEVICE_TYPE: 
2025-08-14T23:41:51.1388004Z   BENCHMARK_RESULTS_DIR: test/test-reports
2025-08-14T23:41:51.1388228Z   DRY_RUN: false
2025-08-14T23:41:51.1389234Z   BENCHMARK_METADATA: {"timestamp": 1755214909, "schema_version": "v3", "name": "linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "1fc683cf17c8c673044538d10266c00f92987be2", "workflow_id": 16976255045, "run_attempt": 1, "job_id": 48128492217}
2025-08-14T23:41:51.1390654Z   RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 60, "extra_info": {"hostname": "ip-10-1-34-130.ec2.internal"}, "name": "cuda", "type": "NVIDIA L4", "gpu_count": 1, "avail_gpu_mem_in_gb": 22}]
2025-08-14T23:41:51.1391226Z   DEPENDENCIES: {}
2025-08-14T23:41:51.1391399Z ##[endgroup]
2025-08-14T23:41:51.1414127Z + [[ ! -d test/test-reports ]]
2025-08-14T23:41:51.1414560Z + [[ false == \t\r\u\e ]]
2025-08-14T23:41:51.1417499Z + 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": 1755214909, "schema_version": "v3", "name": "linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "1fc683cf17c8c673044538d10266c00f92987be2", "workflow_id": 16976255045, "run_attempt": 1, "job_id": 48128492217}' --runners '[{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 60, "extra_info": {"hostname": "ip-10-1-34-130.ec2.internal"}, "name": "cuda", "type": "NVIDIA L4", "gpu_count": 1, "avail_gpu_mem_in_gb": 22}]' --dependencies '{}'
2025-08-14T23:41:51.3033441Z /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-a4435b55c76d9f448056.json is not a benchmark record, skipping
2025-08-14T23:41:51.3035358Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-08-14T23:41:51.3086378Z /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_aot_inductor'}, {'test_file': 'inductor/test_kernel_benchmark'}, {'test_file': 'inductor/test_extension_backend'}, {'test_file': 'dynamo/test_logging'}, {'test_file': 'inductor/test_inplace_padding'}, {'test_file': 'inductor/test_torchbind'}, {'test_file': 'export/test_torchbind'}, {'test_file': 'inductor/test_codecache'}, {'test_file': 'dynamo/test_pgo'}, {'test_file': 'dynamo/test_trace_rules'}, {'test_file': 'test_ci_sanity_check_fail'}, {'test_file': 'test_type_hints'}, {'test_file': 'test_public_bindings'}, {'test_file': 'test_cuda'}, {'test_file': 'test_dataloader'}, {'test_file': 'test_sparse'}, {'test_file': 'inductor/test_torchinductor'}, {'test_file': 'doctests'}, {'test_file': 'inductor/test_max_autotune'}, {'test_file': 'inductor/test_torchinductor_dynamic_shapes'}, {'test_file': 'inductor/test_torchinductor_codegen_dynamic_shapes'}, {'test_file': 'inductor/test_torchinductor_opinfo'}, {'test_file': 'inductor/test_cpu_repro'}, {'test_file': 'inductor/test_cuda_repro'}, {'test_file': 'inductor/test_cudagraph_trees'}, {'test_file': 'dynamo/test_dynamic_shapes'}, {'test_file': 'dynamo/test_unspec'}, {'test_file': 'dynamo/test_repros'}, {'test_file': 'inductor/test_pattern_matcher'}, {'test_file': 'inductor/test_mkldnn_pattern_matcher'}, {'test_file': 'inductor/test_perf'}, {'test_file': 'inductor/test_foreach'}, {'test_file': 'inductor/test_compiled_optimizers'}, {'test_file': 'dynamo/test_modules'}, {'test_file': 'inductor/test_triton_wrapper'}, {'test_file': 'inductor/test_coordinate_descent_tuner'}, {'test_file': 'inductor/test_smoke'}, {'test_file': 'inductor/test_select_algorithm'}, {'test_file': 'inductor/test_dependencies'}, {'test_file': 'inductor/test_compiled_autograd'}, {'test_file': 'inductor/test_fused_attention'}, {'test_file': 'inductor/test_group_batch_fusion'}, {'test_file': 'inductor/test_inductor_freezing'}, {'test_file': 'inductor/test_split_cat_fx_passes'}, {'test_file': 'inductor/test_minifier'}, {'test_file': 'inductor/test_snode_runtime'}, {'test_file': 'inductor/test_custom_lowering'}, {'test_file': 'inductor/test_config'}, {'test_file': 'dynamo/test_backends'}, {'test_file': 'dynamo/test_after_aot'}, {'test_file': 'dynamo/test_higher_order_ops'}, {'test_file': 'inductor/test_layout_optim'}, {'test_file': 'inductor/test_binary_folding'}, {'test_file': 'dynamo/test_activation_checkpointing'}, {'test_file': 'inductor/test_mmdecomp'}, {'test_file': 'dynamo/test_cudagraphs'}, {'test_file': 'dynamo/test_misc'}, {'test_file': 'dynamo/test_aot_autograd'}, {'test_file': 'dynamo/test_ctx_manager'}, {'test_file': 'dynamo/test_exc'}, {'test_file': 'inductor/test_flex_attention'}, {'test_file': 'inductor/test_control_flow'}, {'test_file': 'inductor/test_aot_inductor_arrayref'}, {'test_file': 'inductor/test_padding'}, {'test_file': 'inductor/test_torchinductor_strided_blocks'}, {'test_file': 'inductor/test_triton_kernels'}, {'test_file': 'inductor/test_halide'}, {'test_file': 'inductor/test_triton_cpu_backend'}, {'test_file': 'inductor/test_aot_inductor_custom_ops'}, {'test_file': 'inductor/test_cpu_select_algorithm'}, {'test_file': 'inductor/test_flex_decoding'}, {'test_file': 'inductor/test_unbacked_symints'}, {'test_file': 'inductor/test_external_callables'}, {'test_file': 'inductor/test_provenance_tracing'}, {'test_file': 'inductor/test_benchmark_fusion'}, {'test_file': 'inductor/test_alignment'}, {'test_file': 'inductor/test_triton_syntax'}, {'test_file': 'inductor/test_subgraph_choice'}, {'test_file': 'inductor/test_cpp_wrapper_hipify'}, {'test_file': 'inductor/test_pad_mm'}, {'test_file': 'inductor/test_multi_kernel'}, {'test_file': 'export/test_export'}, {'test_file': 'inductor/test_cutlass_backend'}, {'test_file': 'dynamo/test_deque_reconstruct'}, {'test_file': 'inductor/test_memory'}, {'test_file': 'export/test_retraceability'}, {'test_file': 'inductor/test_cooperative_reductions'}, {'test_file': 'inductor/test_triton_extension_backend'}, {'test_file': 'inductor/test_analysis'}, {'test_file': 'inductor/test_inductor_annotations'}, {'test_file': 'inductor/test_ck_backend'}, {'test_file': 'inductor/test_inductor_utils'}, {'test_file': 'inductor/test_remote_cache'}, {'test_file': 'export/test_functionalized_assertions'}, {'test_file': 'inductor/test_op_completeness'}, {'test_file': 'inductor/test_indexing'}, {'test_file': 'inductor/test_fp8'}, {'test_file': 'inductor/test_fx_fusion'}, {'test_file': 'inductor/test_debug_trace'}, {'test_file': 'inductor/test_online_softmax'}, {'test_file': 'export/test_export_strict'}, {'test_file': 'inductor/test_async_compile'}, {'test_file': 'export/test_export_training_ir_to_run_decomp'}, {'test_file': 'inductor/test_minifier_utils'}, {'test_file': 'export/test_unflatten_training_ir'}, {'test_file': 'export/test_tree_utils'}, {'test_file': 'inductor/test_combo_kernels'}, {'test_file': 'inductor/test_b2b_gemm'}, {'test_file': 'dynamo/test_skip_guard_eval_unsafe'}, {'test_file': 'dynamo/test_functions'}, {'test_file': 'inductor/test_memory_planning'}, {'test_file': 'dynamo/test_interop'}, {'test_file': 'inductor/test_compile_worker'}, {'test_file': 'dynamo/test_buffers_override'}, {'test_file': 'dynamo/test_frame_init'}, {'test_file': 'dynamo/test_base_output'}, {'test_file': 'dynamo/test_fx_passes_pre_grad'}, {'test_file': 'export/test_serdes'}, {'test_file': 'inductor/test_utils'}, {'test_file': 'inductor/test_metrics'}, {'test_file': 'inductor/test_cpu_cpp_wrapper'}, {'test_file': 'inductor/test_move_constructors_to_cuda'}, {'test_file': 'inductor/test_autoheuristic'}, {'test_file': 'dynamo/test_inline_and_install'}, {'test_file': 'inductor/test_aot_inductor_package'}, {'test_file': 'dynamo/test_nops'}, {'test_file': 'dynamo/test_skip_non_tensor'}, {'test_file': 'inductor/test_gpu_cpp_wrapper'}, {'test_file': 'inductor/test_cutlass_evt'}, {'test_file': 'dynamo/test_recompiles'}, {'test_file': 'inductor/test_kernel_optimization'}, {'test_file': 'inductor/test_codegen_triton'}, {'test_file': 'export/test_export_with_inline_and_install'}, {'test_file': 'inductor/test_cudacodecache'}, {'test_file': 'inductor/test_static_cuda_launcher'}, {'test_file': 'inductor/test_op_dtype_prop'}, {'test_file': 'dynamo/test_pre_dispatch'}, {'test_file': 'dynamo/test_resume'}, {'test_file': 'dynamo/test_sdpa'}, {'test_file': 'dynamo/test_metrics_context'}, {'test_file': 'inductor/test_inplacing_pass'}, {'test_file': 'dynamo/test_global'}, {'test_file': 'dynamo/test_graph_region_tracker'}, {'test_file': 'inductor/test_custom_post_grad_passes'}, {'test_file': 'inductor/test_fuzzer'}, {'test_file': 'export/test_tools'}, {'test_file': 'inductor/test_best_config'}, {'test_file': 'dynamo/test_subgraphs'}, {'test_file': 'inductor/test_triton_heuristics'}, {'test_file': 'test_custom_ops'}, {'test_file': 'inductor/test_quantization'}, {'test_file': 'inductor/test_block_analysis'}, {'test_file': 'inductor/test_profiler'}, {'test_file': 'inductor/test_compile_subprocess'}, {'test_file': 'inductor/test_xpu_basic'}, {'test_file': 'dynamo/test_view'}, {'test_file': 'inductor/test_helion_kernels'}, {'test_file': 'dynamo/test_list'}, {'test_file': 'inductor/test_aot_inductor_utils'}, {'test_file': 'inductor/test_loop_ordering'}, {'test_file': 'dynamo/test_utils'}, {'test_file': 'inductor/test_ordered_set'}, {'test_file': 'inductor/test_fxir_backend'}, {'test_file': 'inductor/test_decompose_mem_bound_mm'}, {'test_file': 'dynamo/test_dicts'}, {'test_file': 'dynamo/test_install_free_tensors'}, {'test_file': 'dynamo/test_fx_graph_runnable'}, {'test_file': 'dynamo/test_autograd_function'}, {'test_file': 'export/test_cpp_serdes'}, {'test_file': 'dynamo/test_config'}, {'test_file': 'export/test_package'}, {'test_file': 'inductor/test_benchmarking'}, {'test_file': 'inductor/test_needs_exact_strides'}, {'test_file': 'dynamo/test_reconstruct'}, {'test_file': 'inductor/test_inductor_scheduler'}, {'test_file': 'dynamo/test_compile'}, {'test_file': 'inductor/test_compile'}, {'test_file': 'export/test_db'}, {'test_file': 'inductor/test_graph_transform_observer'}, {'test_file': 'dynamo/test_export_mutations'}, {'test_file': 'dynamo/test_unittest'}, {'test_file': 'dynamo/test_sources'}, {'test_file': 'dynamo/test_graph_deduplication'}, {'test_file': 'inductor/test_torchinductor_codegen_config_overrides'}, {'test_file': 'dynamo/test_flat_apply'}, {'test_file': 'dynamo/test_guard_serialization'}, {'test_file': 'dynamo/test_modes'}, {'test_file': 'inductor/test_scatter_optimization'}, {'test_file': 'inductor/test_split_cat_fx_aten_passes'}, {'test_file': 'export/test_passes'}, {'test_file': 'export/test_unflatten'}, {'test_file': 'export/test_upgrader'}, {'test_file': 'export/test_swap'}, {'test_file': 'export/test_schema'}, {'test_file': 'dynamo/test_decorators'}, {'test_file': 'dynamo/test_einops'}, {'test_file': 'dynamo/test_backward_higher_order_ops'}, {'test_file': 'export/test_nativert'}, {'test_file': 'inductor/test_minifier_isolate'}, {'test_file': 'inductor/test_auto_functionalize'}, {'test_file': 'dynamo/test_verify_correctness'}, {'test_file': 'dynamo/test_export'}, {'test_file': 'dynamo/test_model_output'}, {'test_file': 'dynamo/test_sets'}, {'test_file': 'dynamo/test_base_hop'}, {'test_file': 'dynamo/test_profiler'}, {'test_file': 'test_content_store'}, {'test_file': 'dynamo/test_deviceguard'}, {'test_file': 'dynamo/test_optimizers'}, {'test_file': 'dynamo/test_debug_utils'}, {'test_file': 'dynamo/test_python_dispatcher'}, {'test_file': 'export/test_lift_unlift'}, {'test_file': 'dynamo/test_compiler_bisector'}, {'test_file': 'test_model_exports_to_core_aten'}, {'test_file': 'dynamo/test_package'}, {'test_file': 'export/test_experimental'}, {'test_file': 'dynamo/test_input_attr_tracking'}, {'test_file': 'dynamo/test_bytecode_utils'}, {'test_file': 'export/test_hop'}, {'test_file': 'export/test_converter'}, {'test_file': 'dynamo/test_error_messages'}, {'test_file': 'dynamo/test_callback'}, {'test_file': 'export/test_pass_infra'}, {'test_file': 'inductor/test_mps_basic'}, {'test_file': 'dynamo/test_exceptions'}, {'test_file': 'dynamo/test_aot_autograd_cache'}, {'test_file': 'inductor/test_efficient_conv_bn_eval'}, {'test_file': 'dynamo/test_precompile_context'}, {'test_file': 'dynamo/test_cudagraphs_expandable_segments'}, {'test_file': 'dynamo/test_guard_manager'}, {'test_file': 'test_sparse_semi_structured'}, {'test_file': 'export/test_serialize'}, {'test_file': 'dynamo/test_structured_trace'}, {'test_file': 'dynamo/test_torchrec'}, {'test_file': 'export/test_verifier'}, {'test_file': 'dynamo/test_recompile_ux'}, {'test_file': 'dynamo/test_minifier'}, {'test_file': 'inductor/test_cudagraph_trees_expandable_segments'}, {'test_file': 'test_functionalization_of_rng_ops'}, {'test_file': 'dynamo/test_fake_distributed'}, {'test_file': 'dynamo/test_hooks'}, {'test_file': 'inductor/test_distributed_patterns'}, {'test_file': 'dynamo/test_generator'}, {'test_file': 'dynamo/test_reorder_logs'}, {'test_file': 'dynamo/test_subclasses'}, {'test_file': 'export/test_sparse'}, {'test_file': 'functorch/test_eager_transforms'}, {'test_file': 'export/test_draft_export'}, {'test_file': 'dynamo/test_comptime'}, {'test_file': 'test_testing'}, {'test_file': 'dynamo/test_python_autograd'}, {'test_file': 'test_quantization'}, {'test_file': 'test_dynamic_shapes'}, {'test_file': 'higher_order_ops/test_invoke_subgraph'}, {'test_file': 'test_package'}, {'test_file': 'functorch/test_rearrange'}, {'test_file': 'functorch/test_parsing'}, {'test_file': 'test_hop_infra'}, {'test_file': 'test_comparison_utils'}, {'test_file': 'functorch/test_control_flow'}, {'test_file': 'functorch/test_ac_logging'}, {'test_file': 'test_mkl_verbose'}, {'test_file': 'test_appending_byte_serializer'}, {'test_file': 'test_cpp_api_parity'}, {'test_file': 'test_autoload'}, {'test_file': 'test_proxy_tensor'}, {'test_file': 'test_mkldnn_verbose'}, {'test_file': 'test_utils_config_module'}, {'test_file': 'test_functionalization'}, {'test_file': 'test_rename_privateuse1_to_existing_device'}, {'test_file': 'test_transformers_privateuse1'}, {'test_file': 'test_transformers'}, {'test_file': 'test_extension_utils'}, {'test_file': 'test_ao_sparsity'}, {'test_file': 'test_license'}, {'test_file': 'torch_np/test_binary_ufuncs'}, {'test_file': 'xpu/test_fusion'}, {'test_file': 'torch_np/test_unary_ufuncs'}, {'test_file': 'test_foreach'}, {'test_file': 'test_expanded_weights'}, {'test_file': 'typing/test_python_operators'}, {'test_file': 'test_fx_experimental'}, {'test_file': 'test_file_check'}, {'test_file': 'torch_np/test_dtype'}, {'test_file': 'higher_order_ops/test_with_effects'}, {'test_file': 'test_native_functions'}, {'test_file': 'functorch/test_minifier'}, {'test_file': 'test_flop_counter'}, {'test_file': 'torch_np/test_nep50_examples'}, {'test_file': 'higher_order_ops/test_invoke_quant'}, {'test_file': 'test_per_overload_api'}, {'test_file': 'test_tensorexpr_pybind'}, {'test_file': 'test_pytree'}, {'test_file': 'test_fx_passes'}, {'test_file': 'test_fx'}, {'test_file': 'test_fake_tensor'}, {'test_file': 'test_module_tracker'}, {'test_file': 'test_typing'}, {'test_file': 'test_openmp'}, {'test_file': 'torch_np/numpy_tests/core/test_scalarinherit'}, {'test_file': 'functorch/test_ac_knapsack'}, {'test_file': 'backends/xeon/test_launch'}, {'test_file': 'test_nestedtensor'}, {'test_file': 'test_namedtensor'}, {'test_file': 'test_openreg'}, {'test_file': 'xpu/test_gemm'}, {'test_file': 'torch_np/test_ufuncs_basic'}, {'test_file': 'test_meta'}, {'test_file': 'test_show_pickle'}, {'test_file': 'test_utils_filelock'}, {'test_file': 'torch_np/test_random'}, {'test_file': 'profiler/test_kineto'}, {'test_file': 'test_tensorexpr'}, {'test_file': 'test_compile_benchmark_util'}, {'test_file': 'test_jiterator'}, {'test_file': 'test_optim'}, {'test_file': 'test_decomp'}, {'test_file': 'torch_np/test_basic'}, {'test_file': 'lazy/test_bindings'}, {'test_file': 'test_legacy_vmap'}, {'test_file': 'test_modules'}, {'test_file': 'test_binary_ufuncs'}, {'test_file': 'test_torch'}, {'test_file': 'test_matmul_cuda'}, {'test_file': 'test_weak'}, {'test_file': 'functorch/test_logging'}, {'test_file': 'test_logging'}, {'test_file': 'test_out_dtype_op'}, {'test_file': 'test_complex'}, {'test_file': 'xpu/test_conv'}, {'test_file': 'cpp_extensions/python_agnostic_extension/test/test_python_agnostic'}, {'test_file': 'torch_np/numpy_tests/core/test_einsum'}, {'test_file': 'test_ops_jit'}, {'test_file': 'lazy/test_step_closures'}, {'test_file': 'test_ops_gradients'}, {'test_file': 'test_fx_reinplace_pass'}, {'test_file': 'nn/test_multihead_attention'}, {'test_file': 'functorch/test_aot_joint_with_descriptors'}, {'test_file': 'test_pruning_op'}, {'test_file': 'lazy/test_functionalization'}, {'test_file': 'test_utils'}, {'test_file': 'functorch/test_ac'}, {'test_file': 'test_python_dispatch'}, {'test_file': 'test_ops_fwd_gradients'}, {'test_file': 'test_hub'}, {'test_file': 'test_set_default_mobile_cpu_allocator'}, {'test_file': 'test_cuda_expandable_segments'}, {'test_file': 'test_stateless'}, {'test_file': 'test_numpy_interop'}, {'test_file': 'test_ops'}, {'test_file': 'test_dispatch'}, {'test_file': 'test_namedtuple_return_api'}, {'test_file': 'profiler/test_record_function'}, {'test_file': 'test_multiprocessing'}, {'test_file': 'test_autograd_fallback'}, {'test_file': 'nn/test_lazy_modules'}, {'test_file': 'test_jit_fuser_te'}, {'test_file': 'test_segment_reductions'}, {'test_file': 'test_import_stats'}, {'test_file': 'test_masked'}, {'test_file': 'test_cuda_sanitizer'}, {'test_file': 'test_monitor'}, {'test_file': 'profiler/test_cpp_thread'}, {'test_file': 'test_subclass'}, {'test_file': 'profiler/test_profiler'}, {'test_file': 'functorch/test_vmap_registrations'}, {'test_file': 'nn/test_parametrization'}, {'test_file': 'nn/test_pruning'}, {'test_file': 'functorch/test_dims'}, {'test_file': 'test_itt'}, {'test_file': 'optim/test_lrscheduler'}, {'test_file': 'torch_np/numpy_tests/core/test_multiarray'}, {'test_file': 'test_numba_integration'}, {'test_file': 'test_cpp_extensions_mtia_backend'}, {'test_file': 'test_jit_disabled'}, {'test_file': 'torch_np/numpy_tests/core/test_numeric'}, {'test_file': 'test_sympy_utils'}, {'test_file': 'functorch/test_memory_efficient_fusion'}, {'test_file': 'torch_np/test_indexing'}, {'test_file': 'torch_np/numpy_tests/lib/test_function_base'}, {'test_file': 'test_jit'}, {'test_file': 'nn/test_packed_sequence'}, {'test_file': 'cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic'}, {'test_file': 'test_tensor_creation_ops'}, {'test_file': 'functorch/test_ops'}, {'test_file': 'functorch/test_aotdispatch'}, {'test_file': 'test_schema_check'}, {'test_file': 'test_datapipe'}, {'test_file': 'test_autocast'}, {'test_file': 'test_bundled_inputs'}, {'test_file': 'profiler/test_execution_trace'}, {'test_file': 'test_cpp_extensions_stream_and_event'}, {'test_file': 'lazy/test_generator'}, {'test_file': 'torch_np/numpy_tests/core/test_indexing'}, {'test_file': 'test_maskedtensor'}, {'test_file': 'test_tensorboard'}, {'test_file': 'torch_np/numpy_tests/lib/test_type_check'}, {'test_file': 'lazy/test_ts_opinfo'}, {'test_file': 'test_mkldnn_fusion'}, {'test_file': 'benchmark_utils/test_benchmark_utils'}, {'test_file': 'test_linalg'}, {'test_file': 'optim/test_swa_utils'}, {'test_file': 'test_futures'}, {'test_file': 'torch_np/numpy_tests/lib/test_histograms'}, {'test_file': 'optim/test_optim'}, {'test_file': 'nn/test_embedding'}, {'test_file': 'nn/test_dropout'}, {'test_file': 'test_autograd'}, {'test_file': 'torch_np/numpy_tests/core/test_scalarmath'}, {'test_file': 'test_functional_optim'}, {'test_file': 'test_vulkan'}, {'test_file': 'functorch/test_vmap'}, {'test_file': 'test_cuda_trace'}, {'test_file': 'nn/test_load_state_dict'}, {'test_file': 'test_reductions'}, {'test_file': 'test_shape_ops'}, {'test_file': 'torch_np/numpy_tests/core/test_dtype'}, {'test_file': 'torch_np/numpy_tests/core/test_shape_base'}, {'test_file': 'test_type_info'}, {'test_file': 'test_jit_llga_fuser'}, {'test_file': 'test_indexing'}, {'test_file': 'torch_np/test_function_base'}, {'test_file': 'test_native_mha'}, {'test_file': 'test_sort_and_select'}, {'test_file': 'torch_np/numpy_tests/lib/test_twodim_base'}, {'test_file': 'torch_np/test_scalars_0D_arrays'}, {'test_file': 'nn/test_module_hooks'}, {'test_file': 'test_numa_binding'}, {'test_file': 'torch_np/numpy_tests/core/test_getlimits'}, {'test_file': 'torch_np/test_ndarray_methods'}, {'test_file': 'lazy/test_debug_util'}, {'test_file': 'test_cuda_nvml_based_avail'}, {'test_file': 'torch_np/numpy_tests/lib/test_shape_base_'}, {'test_file': 'torch_np/numpy_tests/linalg/test_linalg'}, {'test_file': 'test_sparse_csr'}, {'test_file': 'test_view_ops'}, {'test_file': 'test_accelerator'}, {'test_file': 'profiler/test_memory_profiler'}, {'test_file': 'test_nn'}, {'test_file': 'torch_np/numpy_tests/fft/test_pocketfft'}, {'test_file': 'test_function_schema'}, {'test_file': 'torch_np/numpy_tests/lib/test_index_tricks'}, {'test_file': 'test_cpp_extensions_jit'}, {'test_file': 'test_scatter_gather_ops'}, {'test_file': 'test_serialization'}, {'test_file': 'torch_np/numpy_tests/core/test_dlpack'}, {'test_file': 'test_xnnpack_integration'}, {'test_file': 'torch_np/numpy_tests/fft/test_helper'}, {'test_file': 'test_mkldnn'}, {'test_file': 'test_overrides'}, {'test_file': 'test_unary_ufuncs'}, {'test_file': 'nn/test_pooling'}, {'test_file': 'torch_np/numpy_tests/core/test_scalar_methods'}, {'test_file': 'nn/test_init'}, {'test_file': 'test_cuda_primary_ctx'}, {'test_file': 'torch_np/numpy_tests/core/test_numerictypes'}, {'test_file': 'test_mobile_optimizer'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraypad'}, {'test_file': 'test_cuda_multigpu'}, {'test_file': 'test_type_promotion'}, {'test_file': 'test_multiprocessing_spawn'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraysetops'}, {'test_file': 'nn/test_convolution'}, {'test_file': 'test_jit_autocast'}, {'test_file': 'test_dlpack'}, {'test_file': 'profiler/test_profiler_tree'}, {'test_file': 'torch_np/numpy_tests/core/test_scalar_ctors'}, {'test_file': 'profiler/test_torch_tidy'}, {'test_file': 'torch_np/test_reductions'}, {'test_file': 'lazy/test_reuse_ir'}, {'test_file': 'test_functional_autograd_benchmark'}, {'test_file': 'test_prims'}, {'test_file': 'test_spectral_ops'}, {'test_file': 'profiler/test_python_tracer'}, {'test_file': 'distributions/test_distributions'}, {'test_file': 'test_autoload_enable'}, {'test_file': 'test_cpp_extensions_aot_no_ninja'}, {'test_file': 'test_autoload_disable'}, {'test_file': 'test_cpp_extensions_aot_ninja'}], 'excluded': []} from test/test-reports/td_exclusions-4cc8653399db5b279060.json is not a benchmark record, skipping
2025-08-14T23:41:51.3134611Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-08-14T23:41:51.3135790Z /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-2f9880dc0dc34944d0d2.json is not a benchmark record, skipping
2025-08-14T23:41:51.3136952Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-08-14T23:41:51.3138126Z /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-2584d78aa3bef2eeb194.json is not a benchmark record, skipping
2025-08-14T23:41:51.3139263Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-08-14T23:41:51.3140406Z /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-56d9971d87e56651c8d5.json is not a benchmark record, skipping
2025-08-14T23:41:51.3141540Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-08-14T23:41:51.3142653Z /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-9c8fd3453fb744918498.json is not a benchmark record, skipping
2025-08-14T23:41:51.3143765Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-08-14T23:41:51.3144891Z /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-aba6fa6efad31553e408.json is not a benchmark record, skipping
2025-08-14T23:41:51.3145994Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-08-14T23:41:51.3147141Z /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-32d17eaf0f392954a401.json is not a benchmark record, skipping
2025-08-14T23:41:51.3148394Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-08-14T23:41:51.3149639Z /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-524ee74f5bfdb2389f03.json is not a benchmark record, skipping
2025-08-14T23:41:51.3150764Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-08-14T23:41:51.3152033Z /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-f151650513484ae8cccb.json is not a benchmark record, skipping
2025-08-14T23:41:51.3153183Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-08-14T23:41:51.3154452Z /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-32345c7627c4e18a4c71.json is not a benchmark record, skipping
2025-08-14T23:41:51.3155593Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-08-14T23:41:51.3158189Z /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-473a80124ef199dc7215.json is not a benchmark record, skipping
2025-08-14T23:41:51.3160763Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-08-14T23:41:51.3161997Z /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-e4137ec9cebee6a6fe48.json is not a benchmark record, skipping
2025-08-14T23:41:51.3163141Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-08-14T23:41:51.3258833Z ##[group]Run cat test/**/*_toprint.log || true
2025-08-14T23:41:51.3259170Z cat test/**/*_toprint.log || true
2025-08-14T23:41:51.3265916Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T23:41:51.3266198Z env:
2025-08-14T23:41:51.3266372Z   GIT_DEFAULT_BRANCH: main
2025-08-14T23:41:51.3266615Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T23:41:51.3267002Z   DOCKER_CONTAINER_ID: 244e1146d911f25210508ef2770e21716f1a5dc3066ef15081fb49917f20fa56
2025-08-14T23:41:51.3267355Z   DEVICE_NAME: 
2025-08-14T23:41:51.3267521Z   DEVICE_TYPE: 
2025-08-14T23:41:51.3267675Z ##[endgroup]
2025-08-14T23:41:51.3352528Z cat: 'test/**/*_toprint.log': No such file or directory
2025-08-14T23:41:51.3506671Z ##[group]Run kill "$MONITOR_SCRIPT_PID"
2025-08-14T23:41:51.3506972Z kill "$MONITOR_SCRIPT_PID"
2025-08-14T23:41:51.3513335Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T23:41:51.3513632Z env:
2025-08-14T23:41:51.3513797Z   GIT_DEFAULT_BRANCH: main
2025-08-14T23:41:51.3514046Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T23:41:51.3514453Z   DOCKER_CONTAINER_ID: 244e1146d911f25210508ef2770e21716f1a5dc3066ef15081fb49917f20fa56
2025-08-14T23:41:51.3514806Z   DEVICE_NAME: 
2025-08-14T23:41:51.3514974Z   DEVICE_TYPE: 
2025-08-14T23:41:51.3515146Z   MONITOR_SCRIPT_PID: 61921
2025-08-14T23:41:51.3515340Z ##[endgroup]
2025-08-14T23:41:51.3624551Z Prepare all required actions
2025-08-14T23:41:51.3625017Z Getting action download info
2025-08-14T23:41:51.4871566Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-08-14T23:41:51.8300089Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-08-14T23:41:53.4538947Z ##[group]Run ./.github/actions/upload-test-artifacts
2025-08-14T23:41:53.4539213Z with:
2025-08-14T23:41:53.4539541Z   file-suffix: test-default-1-5-lf.linux.g6.4xlarge.experimental.nvidia.gpu_48128492217
2025-08-14T23:41:53.4539934Z   s3-bucket: gha-artifacts
2025-08-14T23:41:53.4540125Z env:
2025-08-14T23:41:53.4540281Z   GIT_DEFAULT_BRANCH: main
2025-08-14T23:41:53.4540526Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T23:41:53.4540917Z   DOCKER_CONTAINER_ID: 244e1146d911f25210508ef2770e21716f1a5dc3066ef15081fb49917f20fa56
2025-08-14T23:41:53.4541268Z   DEVICE_NAME: 
2025-08-14T23:41:53.4541484Z   DEVICE_TYPE: 
2025-08-14T23:41:53.4541647Z ##[endgroup]
2025-08-14T23:41:53.4630905Z ##[group]Run # Remove any previous test jsons if they exist
2025-08-14T23:41:53.4631348Z # Remove any previous test jsons if they exist
2025-08-14T23:41:53.4631711Z rm -f test-jsons-*.zip
2025-08-14T23:41:53.4632038Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json'
2025-08-14T23:41:53.4639174Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T23:41:53.4639533Z env:
2025-08-14T23:41:53.4639706Z   GIT_DEFAULT_BRANCH: main
2025-08-14T23:41:53.4639942Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T23:41:53.4640343Z   DOCKER_CONTAINER_ID: 244e1146d911f25210508ef2770e21716f1a5dc3066ef15081fb49917f20fa56
2025-08-14T23:41:53.4640704Z   DEVICE_NAME: 
2025-08-14T23:41:53.4640874Z   DEVICE_TYPE: 
2025-08-14T23:41:53.4641201Z   FILE_SUFFIX: test-default-1-5-lf.linux.g6.4xlarge.experimental.nvidia.gpu_48128492217
2025-08-14T23:41:53.4641588Z ##[endgroup]
2025-08-14T23:41:53.5335359Z   adding: test/test-reports/td_exclusions-a4435b55c76d9f448056.json (deflated 16%)
2025-08-14T23:41:53.5339065Z   adding: test/test-reports/td_exclusions-4cc8653399db5b279060.json (deflated 82%)
2025-08-14T23:41:53.5340062Z   adding: test/test-reports/td_exclusions-2f9880dc0dc34944d0d2.json (deflated 14%)
2025-08-14T23:41:53.5340931Z   adding: test/test-reports/td_exclusions-2584d78aa3bef2eeb194.json (deflated 14%)
2025-08-14T23:41:53.5341614Z   adding: test/test-reports/td_exclusions-56d9971d87e56651c8d5.json (deflated 13%)
2025-08-14T23:41:53.5342182Z   adding: test/test-reports/td_exclusions-9c8fd3453fb744918498.json (deflated 15%)
2025-08-14T23:41:53.5342621Z   adding: test/test-reports/td_exclusions-aba6fa6efad31553e408.json (deflated 18%)
2025-08-14T23:41:53.5343096Z   adding: test/test-reports/td_exclusions-32d17eaf0f392954a401.json (deflated 14%)
2025-08-14T23:41:53.5343583Z   adding: test/test-reports/td_exclusions-524ee74f5bfdb2389f03.json (deflated 15%)
2025-08-14T23:41:53.5344048Z   adding: test/test-reports/td_exclusions-f151650513484ae8cccb.json (deflated 13%)
2025-08-14T23:41:53.5344507Z   adding: test/test-reports/td_exclusions-32345c7627c4e18a4c71.json (deflated 14%)
2025-08-14T23:41:53.5344958Z   adding: test/test-reports/td_exclusions-473a80124ef199dc7215.json (deflated 73%)
2025-08-14T23:41:53.5345562Z   adding: test/test-reports/td_exclusions-e4137ec9cebee6a6fe48.json (deflated 14%)
2025-08-14T23:41:53.5443745Z ##[group]Run # Remove any previous test reports if they exist
2025-08-14T23:41:53.5444108Z # Remove any previous test reports if they exist
2025-08-14T23:41:53.5444393Z rm -f test-reports-*.zip
2025-08-14T23:41:53.5444743Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv'
2025-08-14T23:41:53.5451504Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T23:41:53.5451801Z env:
2025-08-14T23:41:53.5451981Z   GIT_DEFAULT_BRANCH: main
2025-08-14T23:41:53.5452444Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T23:41:53.5452921Z   DOCKER_CONTAINER_ID: 244e1146d911f25210508ef2770e21716f1a5dc3066ef15081fb49917f20fa56
2025-08-14T23:41:53.5453285Z   DEVICE_NAME: 
2025-08-14T23:41:53.5453448Z   DEVICE_TYPE: 
2025-08-14T23:41:53.5453765Z   FILE_SUFFIX: test-default-1-5-lf.linux.g6.4xlarge.experimental.nvidia.gpu_48128492217
2025-08-14T23:41:53.5454142Z ##[endgroup]
2025-08-14T23:41:53.5530351Z   adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-1941441a2d6aa861.xml (deflated 28%)
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2025-08-14T23:41:53.6307656Z ##[group]Run # Remove any previous usage logs if they exist
2025-08-14T23:41:53.6307996Z # Remove any previous usage logs if they exist
2025-08-14T23:41:53.6308266Z rm -f logs-*.zip
2025-08-14T23:41:53.6308534Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true
2025-08-14T23:41:53.6308910Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true
2025-08-14T23:41:53.6315815Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T23:41:53.6316108Z env:
2025-08-14T23:41:53.6316352Z   GIT_DEFAULT_BRANCH: main
2025-08-14T23:41:53.6316596Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T23:41:53.6316997Z   DOCKER_CONTAINER_ID: 244e1146d911f25210508ef2770e21716f1a5dc3066ef15081fb49917f20fa56
2025-08-14T23:41:53.6317341Z   DEVICE_NAME: 
2025-08-14T23:41:53.6317506Z   DEVICE_TYPE: 
2025-08-14T23:41:53.6317826Z   FILE_SUFFIX: test-default-1-5-lf.linux.g6.4xlarge.experimental.nvidia.gpu_48128492217
2025-08-14T23:41:53.6318194Z ##[endgroup]
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2025-08-14T23:41:53.7687261Z ##[group]Run # Remove any previous debugging artifacts if they exist
2025-08-14T23:41:53.7687733Z # Remove any previous debugging artifacts if they exist
2025-08-14T23:41:53.7688016Z rm -f debug-*.zip
2025-08-14T23:41:53.7688228Z if [ -d 'test/debug' ]; then
2025-08-14T23:41:53.7688485Z   zip -r "debug-${FILE_SUFFIX}.zip" test/debug
2025-08-14T23:41:53.7688735Z fi
2025-08-14T23:41:53.7694859Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T23:41:53.7695137Z env:
2025-08-14T23:41:53.7695304Z   GIT_DEFAULT_BRANCH: main
2025-08-14T23:41:53.7695545Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T23:41:53.7696052Z   DOCKER_CONTAINER_ID: 244e1146d911f25210508ef2770e21716f1a5dc3066ef15081fb49917f20fa56
2025-08-14T23:41:53.7696452Z   DEVICE_NAME: 
2025-08-14T23:41:53.7696622Z   DEVICE_TYPE: 
2025-08-14T23:41:53.7696947Z   FILE_SUFFIX: test-default-1-5-lf.linux.g6.4xlarge.experimental.nvidia.gpu_48128492217
2025-08-14T23:41:53.7697313Z ##[endgroup]
2025-08-14T23:41:53.8313484Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-14T23:41:53.8313724Z with:
2025-08-14T23:41:53.8313893Z   s3-bucket: gha-artifacts
2025-08-14T23:41:53.8314136Z   s3-prefix: pytorch/pytorch/16976255045/1/artifact

2025-08-14T23:41:53.8314394Z   retention-days: 14
2025-08-14T23:41:53.8314576Z   if-no-files-found: warn
2025-08-14T23:41:53.8314782Z   path: test-jsons-*.zip
2025-08-14T23:41:53.8314988Z   name: artifact
2025-08-14T23:41:53.8315159Z   region: us-east-1
2025-08-14T23:41:53.8315330Z env:
2025-08-14T23:41:53.8315490Z   GIT_DEFAULT_BRANCH: main
2025-08-14T23:41:53.8315732Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T23:41:53.8316133Z   DOCKER_CONTAINER_ID: 244e1146d911f25210508ef2770e21716f1a5dc3066ef15081fb49917f20fa56
2025-08-14T23:41:53.8316496Z   DEVICE_NAME: 
2025-08-14T23:41:53.8316665Z   DEVICE_TYPE: 
2025-08-14T23:41:53.8316828Z ##[endgroup]
2025-08-14T23:41:54.3380375Z NOTE: s3-prefix specified, ignoring name parameter
2025-08-14T23:41:54.3380854Z With the provided path, there will be 1 file uploaded
2025-08-14T23:41:54.3381279Z Uploading to s3 prefix: pytorch/pytorch/16976255045/1/artifact
2025-08-14T23:41:54.3427640Z Starting upload of test-jsons-test-default-1-5-lf.linux.g6.4xlarge.experimental.nvidia.gpu_48128492217.zip
2025-08-14T23:41:54.4629499Z Finished upload of test-jsons-test-default-1-5-lf.linux.g6.4xlarge.experimental.nvidia.gpu_48128492217.zip
2025-08-14T23:41:54.4940398Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-14T23:41:54.4940651Z with:
2025-08-14T23:41:54.4940824Z   s3-bucket: gha-artifacts
2025-08-14T23:41:54.4941063Z   s3-prefix: pytorch/pytorch/16976255045/1/artifact

2025-08-14T23:41:54.4941339Z   retention-days: 14
2025-08-14T23:41:54.4941525Z   if-no-files-found: error
2025-08-14T23:41:54.4941724Z   path: test-reports-*.zip
2025-08-14T23:41:54.4941931Z   name: artifact
2025-08-14T23:41:54.4942103Z   region: us-east-1
2025-08-14T23:41:54.4942271Z env:
2025-08-14T23:41:54.4942424Z   GIT_DEFAULT_BRANCH: main
2025-08-14T23:41:54.4942678Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T23:41:54.4943070Z   DOCKER_CONTAINER_ID: 244e1146d911f25210508ef2770e21716f1a5dc3066ef15081fb49917f20fa56
2025-08-14T23:41:54.4943423Z   DEVICE_NAME: 
2025-08-14T23:41:54.4943588Z   DEVICE_TYPE: 
2025-08-14T23:41:54.4943749Z ##[endgroup]
2025-08-14T23:41:54.7772507Z NOTE: s3-prefix specified, ignoring name parameter
2025-08-14T23:41:54.7772958Z With the provided path, there will be 1 file uploaded
2025-08-14T23:41:54.7773371Z Uploading to s3 prefix: pytorch/pytorch/16976255045/1/artifact
2025-08-14T23:41:54.7818916Z Starting upload of test-reports-test-default-1-5-lf.linux.g6.4xlarge.experimental.nvidia.gpu_48128492217.zip
2025-08-14T23:41:54.9049726Z Finished upload of test-reports-test-default-1-5-lf.linux.g6.4xlarge.experimental.nvidia.gpu_48128492217.zip
2025-08-14T23:41:54.9398606Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-14T23:41:54.9398863Z with:
2025-08-14T23:41:54.9399034Z   s3-bucket: gha-artifacts
2025-08-14T23:41:54.9399423Z   s3-prefix: pytorch/pytorch/16976255045/1/artifact

2025-08-14T23:41:54.9399680Z   retention-days: 14
2025-08-14T23:41:54.9399873Z   if-no-files-found: ignore
2025-08-14T23:41:54.9400074Z   path: logs-*.zip
2025-08-14T23:41:54.9400248Z   name: artifact
2025-08-14T23:41:54.9400419Z   region: us-east-1
2025-08-14T23:41:54.9400594Z env:
2025-08-14T23:41:54.9400750Z   GIT_DEFAULT_BRANCH: main
2025-08-14T23:41:54.9400999Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T23:41:54.9401392Z   DOCKER_CONTAINER_ID: 244e1146d911f25210508ef2770e21716f1a5dc3066ef15081fb49917f20fa56
2025-08-14T23:41:54.9401751Z   DEVICE_NAME: 
2025-08-14T23:41:54.9402151Z   DEVICE_TYPE: 
2025-08-14T23:41:54.9402332Z ##[endgroup]
2025-08-14T23:41:55.2223478Z NOTE: s3-prefix specified, ignoring name parameter
2025-08-14T23:41:55.2223949Z With the provided path, there will be 1 file uploaded
2025-08-14T23:41:55.2224366Z Uploading to s3 prefix: pytorch/pytorch/16976255045/1/artifact
2025-08-14T23:41:55.2268946Z Starting upload of logs-test-default-1-5-lf.linux.g6.4xlarge.experimental.nvidia.gpu_48128492217.zip
2025-08-14T23:41:55.4451105Z Finished upload of logs-test-default-1-5-lf.linux.g6.4xlarge.experimental.nvidia.gpu_48128492217.zip
2025-08-14T23:41:55.4790501Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-14T23:41:55.4790749Z with:
2025-08-14T23:41:55.4790920Z   s3-bucket: gha-artifacts
2025-08-14T23:41:55.4791166Z   s3-prefix: pytorch/pytorch/16976255045/1/artifact

2025-08-14T23:41:55.4791431Z   retention-days: 14
2025-08-14T23:41:55.4791618Z   if-no-files-found: ignore
2025-08-14T23:41:55.4791830Z   path: debug-*.zip
2025-08-14T23:41:55.4792002Z   name: artifact
2025-08-14T23:41:55.4792181Z   region: us-east-1
2025-08-14T23:41:55.4792384Z env:
2025-08-14T23:41:55.4792538Z   GIT_DEFAULT_BRANCH: main
2025-08-14T23:41:55.4792798Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T23:41:55.4793200Z   DOCKER_CONTAINER_ID: 244e1146d911f25210508ef2770e21716f1a5dc3066ef15081fb49917f20fa56
2025-08-14T23:41:55.4793557Z   DEVICE_NAME: 
2025-08-14T23:41:55.4793720Z   DEVICE_TYPE: 
2025-08-14T23:41:55.4793895Z ##[endgroup]
2025-08-14T23:41:55.7553157Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded.
2025-08-14T23:41:55.7874758Z ##[group]Run # shellcheck disable=SC2156
2025-08-14T23:41:55.7875091Z # shellcheck disable=SC2156
2025-08-14T23:41:55.7875539Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \;
2025-08-14T23:41:55.7882856Z shell: /usr/bin/bash -e {0}
2025-08-14T23:41:55.7883065Z env:
2025-08-14T23:41:55.7883240Z   GIT_DEFAULT_BRANCH: main
2025-08-14T23:41:55.7883492Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T23:41:55.7883901Z   DOCKER_CONTAINER_ID: 244e1146d911f25210508ef2770e21716f1a5dc3066ef15081fb49917f20fa56
2025-08-14T23:41:55.7884261Z   DEVICE_NAME: 
2025-08-14T23:41:55.7884429Z   DEVICE_TYPE: 
2025-08-14T23:41:55.7884619Z ##[endgroup]
2025-08-14T23:41:56.0647577Z Prepare all required actions
2025-08-14T23:41:56.0647938Z Getting action download info
2025-08-14T23:41:56.1748953Z ##[group]Run ./.github/actions/upload-utilization-stats
2025-08-14T23:41:56.1749220Z with:
2025-08-14T23:41:56.1749381Z   job_id: 48128492217
2025-08-14T23:41:56.1749766Z   job_name: linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu)
2025-08-14T23:41:56.1750197Z   workflow_name: trunk
2025-08-14T23:41:56.1750377Z   workflow_run_id: 16976255045
2025-08-14T23:41:56.1750590Z   workflow_attempt: 1
2025-08-14T23:41:56.1750761Z env:
2025-08-14T23:41:56.1750919Z   GIT_DEFAULT_BRANCH: main
2025-08-14T23:41:56.1751160Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T23:41:56.1751560Z   DOCKER_CONTAINER_ID: 244e1146d911f25210508ef2770e21716f1a5dc3066ef15081fb49917f20fa56
2025-08-14T23:41:56.1751915Z   DEVICE_NAME: 
2025-08-14T23:41:56.1752095Z   DEVICE_TYPE: 
2025-08-14T23:41:56.1752379Z ##[endgroup]
2025-08-14T23:41:56.2038630Z ##[group]Run echo "workflow_id: 16976255045"
2025-08-14T23:41:56.2038896Z echo "workflow_id: 16976255045"
2025-08-14T23:41:56.2039134Z echo "workflow_attempt: 1"
2025-08-14T23:41:56.2039363Z echo "workflow_Name: trunk"
2025-08-14T23:41:56.2039590Z echo "job_id: 48128492217"
2025-08-14T23:41:56.2040054Z echo "job_name:  linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu)"
2025-08-14T23:41:56.2040520Z echo "artifact_prefix: "
2025-08-14T23:41:56.2040750Z python3 --version
2025-08-14T23:41:56.2047424Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T23:41:56.2047704Z env:
2025-08-14T23:41:56.2047974Z   GIT_DEFAULT_BRANCH: main
2025-08-14T23:41:56.2048213Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T23:41:56.2048599Z   DOCKER_CONTAINER_ID: 244e1146d911f25210508ef2770e21716f1a5dc3066ef15081fb49917f20fa56
2025-08-14T23:41:56.2048980Z   DEVICE_NAME: 
2025-08-14T23:41:56.2049153Z   DEVICE_TYPE: 
2025-08-14T23:41:56.2049316Z ##[endgroup]
2025-08-14T23:41:56.2073670Z workflow_id: 16976255045
2025-08-14T23:41:56.2073973Z workflow_attempt: 1
2025-08-14T23:41:56.2074179Z workflow_Name: trunk
2025-08-14T23:41:56.2074359Z job_id: 48128492217
2025-08-14T23:41:56.2074742Z job_name:  linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu)
2025-08-14T23:41:56.2075194Z artifact_prefix: 
2025-08-14T23:41:56.2086735Z Python 3.9.23
2025-08-14T23:41:56.2223729Z ##[group]Run nick-fields/retry@v3.0.0
2025-08-14T23:41:56.2224094Z with:
2025-08-14T23:41:56.2224253Z   shell: bash
2025-08-14T23:41:56.2224422Z   timeout_minutes: 5
2025-08-14T23:41:56.2224624Z   max_attempts: 5
2025-08-14T23:41:56.2224809Z   retry_wait_seconds: 30
2025-08-14T23:41:56.2225225Z   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

2025-08-14T23:41:56.2225668Z   polling_interval_seconds: 1
2025-08-14T23:41:56.2225880Z   warning_on_retry: true
2025-08-14T23:41:56.2226085Z   continue_on_error: false
2025-08-14T23:41:56.2226266Z env:
2025-08-14T23:41:56.2226421Z   GIT_DEFAULT_BRANCH: main
2025-08-14T23:41:56.2226660Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T23:41:56.2227069Z   DOCKER_CONTAINER_ID: 244e1146d911f25210508ef2770e21716f1a5dc3066ef15081fb49917f20fa56
2025-08-14T23:41:56.2227415Z   DEVICE_NAME: 
2025-08-14T23:41:56.2227588Z   DEVICE_TYPE: 
2025-08-14T23:41:56.2227746Z ##[endgroup]
2025-08-14T23:41:56.5349345Z Defaulting to user installation because normal site-packages is not writeable
2025-08-14T23:41:56.6110509Z Collecting python-dateutil==2.8.2
2025-08-14T23:41:56.6255025Z   Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)
2025-08-14T23:41:57.5802116Z Collecting boto3==1.35.42
2025-08-14T23:41:57.5837232Z   Downloading boto3-1.35.42-py3-none-any.whl (139 kB)
2025-08-14T23:41:58.0997381Z Collecting pandas==2.1.3
2025-08-14T23:41:58.1031987Z   Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB)
2025-08-14T23:41:58.4698293Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7)
2025-08-14T23:41:58.4712801Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0)
2025-08-14T23:41:58.4753445Z 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)
2025-08-14T23:41:58.4758104Z 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)
2025-08-14T23:41:58.4761549Z 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)
2025-08-14T23:41:58.5311142Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1)
2025-08-14T23:41:58.5856598Z Collecting tzdata>=2022.1
2025-08-14T23:41:58.5887764Z   Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB)
2025-08-14T23:41:59.4161809Z Collecting numpy<2,>=1.22.4
2025-08-14T23:41:59.4195749Z   Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB)
2025-08-14T23:41:59.8421879Z 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)
2025-08-14T23:41:59.8425267Z 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)
2025-08-14T23:41:59.8501409Z 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)
2025-08-14T23:41:59.8585380Z 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)
2025-08-14T23:41:59.8675665Z 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) (4.14.1)
2025-08-14T23:41:59.8679230Z 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)
2025-08-14T23:42:00.1462098Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3
2025-08-14T23:42:04.7295921Z   Attempting uninstall: boto3
2025-08-14T23:42:04.7297570Z     Found existing installation: boto3 1.35.33
2025-08-14T23:42:04.7400975Z     Uninstalling boto3-1.35.33:
2025-08-14T23:42:04.7414082Z       Successfully uninstalled boto3-1.35.33
2025-08-14T23:42:04.8561245Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2
2025-08-14T23:42:05.2970996Z Command completed after 1 attempt(s).
2025-08-14T23:42:05.3113834Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-08-14T23:42:05.3114358Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-08-14T23:42:05.3114714Z   --workflow-run-id "16976255045" \
2025-08-14T23:42:05.3114968Z   --workflow-name "trunk" \
2025-08-14T23:42:05.3115211Z   --workflow-run-attempt "1" \
2025-08-14T23:42:05.3115459Z   --job-id "48128492217" \
2025-08-14T23:42:05.3115902Z   --job-name "linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu)" \
2025-08-14T23:42:05.3116374Z   --local-path "" \
2025-08-14T23:42:05.3116599Z   --artifact-prefix ""
2025-08-14T23:42:05.3124468Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T23:42:05.3124760Z env:
2025-08-14T23:42:05.3124926Z   GIT_DEFAULT_BRANCH: main
2025-08-14T23:42:05.3125382Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T23:42:05.3125806Z   DOCKER_CONTAINER_ID: 244e1146d911f25210508ef2770e21716f1a5dc3066ef15081fb49917f20fa56
2025-08-14T23:42:05.3126166Z   DEVICE_NAME: 
2025-08-14T23:42:05.3126334Z   DEVICE_TYPE: 
2025-08-14T23:42:05.3126493Z ##[endgroup]
2025-08-14T23:42:08.7213361Z repo: pytorch/pytorch
2025-08-14T23:42:08.7213732Z Search for test log in s3 bucket: ossci-utilization
2025-08-14T23:42:08.7214313Z Downloading logs-test-default-1-5-lf.linux.g6.4xlarge.experimental.nvidia.gpu_48128492217.zip
2025-08-14T23:42:08.7215128Z extracting usage_log.txt from zip file logs-test-default-1-5-lf.linux.g6.4xlarge.experimental.nvidia.gpu_48128492217.zip
2025-08-14T23:42:08.7215734Z Converted Log Model: UtilizationMetadata:
2025-08-14T23:42:08.7217146Z  UtilizationMetadata(level='metadata', workflow_id='16976255045', job_id='48128492217', workflow_name='trunk', job_name='linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu)', usage_collect_interval=1.0, data_model_version=1.5, start_at=1755207389, gpu_count=1, cpu_count=16, gpu_type='pynvml', error=None)
2025-08-14T23:42:08.7218542Z [Db Segments] detected pytest cmd: 27, generated segments: 27
2025-08-14T23:42:08.7218843Z [db model] Peek db timeseries 
2025-08-14T23:42:08.7219039Z :{
2025-08-14T23:42:08.7219187Z     "created_at": 1755214927,
2025-08-14T23:42:08.7219378Z     "type": "utilization",
2025-08-14T23:42:08.7219561Z     "tags": [
2025-08-14T23:42:08.7219716Z         "record"
2025-08-14T23:42:08.7219869Z     ],
2025-08-14T23:42:08.7220027Z     "time_stamp": 1755207389,
2025-08-14T23:42:08.7220237Z     "repo": "pytorch/pytorch",
2025-08-14T23:42:08.7220440Z     "workflow_id": 16976255045,
2025-08-14T23:42:08.7220637Z     "run_attempt": 1,
2025-08-14T23:42:08.7220924Z     "job_id": 48128492217,
2025-08-14T23:42:08.7221103Z     "workflow_name": "trunk",
2025-08-14T23:42:08.7221542Z     "job_name": "linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu)",
2025-08-14T23:42:08.7221977Z     "json_data": "{}"
2025-08-14T23:42:08.7222143Z }
2025-08-14T23:42:08.7222504Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/16976255045/1/48128492217/metadata
2025-08-14T23:42:08.7223157Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/16976255045/1/48128492217/metadata 
2025-08-14T23:42:08.7223838Z Writing 1503 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/16976255045/1/48128492217/time_series
2025-08-14T23:42:08.7224526Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/16976255045/1/48128492217/time_series 
2025-08-14T23:42:08.8159430Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main
2025-08-14T23:42:08.8159812Z with:
2025-08-14T23:42:08.8159974Z env:
2025-08-14T23:42:08.8160139Z   GIT_DEFAULT_BRANCH: main
2025-08-14T23:42:08.8160399Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T23:42:08.8160820Z   DOCKER_CONTAINER_ID: 244e1146d911f25210508ef2770e21716f1a5dc3066ef15081fb49917f20fa56
2025-08-14T23:42:08.8161183Z   DEVICE_NAME: 
2025-08-14T23:42:08.8161344Z   DEVICE_TYPE: 
2025-08-14T23:42:08.8161503Z ##[endgroup]
2025-08-14T23:42:08.8252758Z ##[group]Run set -eou pipefail
2025-08-14T23:42:08.8253099Z set -eou pipefail
2025-08-14T23:42:08.8253296Z 
2025-08-14T23:42:08.8253570Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2025-08-14T23:42:08.8253904Z for _ in $(seq 1440); do
2025-08-14T23:42:08.8254147Z     # Break if no ssh session exists anymore
2025-08-14T23:42:08.8254427Z     if [ "$(who)" = "" ]; then
2025-08-14T23:42:08.8254650Z       break
2025-08-14T23:42:08.8254820Z     fi
2025-08-14T23:42:08.8254987Z     echo "."
2025-08-14T23:42:08.8255166Z     sleep 5
2025-08-14T23:42:08.8255336Z done
2025-08-14T23:42:08.8262397Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T23:42:08.8262682Z env:
2025-08-14T23:42:08.8262853Z   GIT_DEFAULT_BRANCH: main
2025-08-14T23:42:08.8263188Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T23:42:08.8263644Z   DOCKER_CONTAINER_ID: 244e1146d911f25210508ef2770e21716f1a5dc3066ef15081fb49917f20fa56
2025-08-14T23:42:08.8277243Z   DEVICE_NAME: 
2025-08-14T23:42:08.8277568Z   DEVICE_TYPE: 
2025-08-14T23:42:08.8277838Z ##[endgroup]
2025-08-14T23:42:08.8302703Z Holding runner for 2 hours until all ssh sessions have logged out
2025-08-14T23:42:08.8903602Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-08-14T23:42:08.8904026Z # ignore expansion of "docker ps -q" since it could be empty
2025-08-14T23:42:08.8904358Z # shellcheck disable=SC2046
2025-08-14T23:42:08.8904619Z docker stop $(docker ps -q) || true
2025-08-14T23:42:08.8904871Z # Prune all of the docker images
2025-08-14T23:42:08.8905208Z docker system prune -af
2025-08-14T23:42:08.8911350Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T23:42:08.8911632Z env:
2025-08-14T23:42:08.8912032Z   GIT_DEFAULT_BRANCH: main
2025-08-14T23:42:08.8912280Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T23:42:08.8912680Z   DOCKER_CONTAINER_ID: 244e1146d911f25210508ef2770e21716f1a5dc3066ef15081fb49917f20fa56
2025-08-14T23:42:08.8913030Z   DEVICE_NAME: 
2025-08-14T23:42:08.8913205Z   DEVICE_TYPE: 
2025-08-14T23:42:08.8913369Z ##[endgroup]
2025-08-14T23:42:25.4271788Z 244e1146d911
2025-08-14T23:42:26.7972578Z Deleted Containers:
2025-08-14T23:42:26.7973046Z 244e1146d911f25210508ef2770e21716f1a5dc3066ef15081fb49917f20fa56
2025-08-14T23:42:26.7973351Z 
2025-08-14T23:42:36.6270859Z Deleted Images:
2025-08-14T23:42:36.6271254Z untagged: public.ecr.aws/docker/library/python:3.13
2025-08-14T23:42:36.6271932Z untagged: public.ecr.aws/docker/library/python@sha256:50cbf8e58ca53a806b99250b1ba2d16c19433e8c42e7eb4ac4ea924b095e280b
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2025-08-14T23:42:36.6278010Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T23:42:36.6278923Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image@sha256:2912f52318e06e9a551538b828fea15def013f278443bb1f452fdd9a824ccbdf
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2025-08-14T23:42:36.6320873Z 
2025-08-14T23:42:36.6320984Z Total reclaimed space: 35.67GB
2025-08-14T23:42:36.6399166Z Post job cleanup.
2025-08-14T23:42:36.6447314Z Post job cleanup.
2025-08-14T23:42:36.7363054Z [command]/usr/bin/git version
2025-08-14T23:42:36.7416026Z git version 2.47.1
2025-08-14T23:42:36.7447948Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/5f6876db-6f50-4a1d-9c0a-709520da16f0/.gitconfig'
2025-08-14T23:42:36.7457051Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/5f6876db-6f50-4a1d-9c0a-709520da16f0' before making global git config changes
2025-08-14T23:42:36.7457961Z Adding repository directory to the temporary git global config as a safe directory
2025-08-14T23:42:36.7461588Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-14T23:42:36.7496074Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-08-14T23:42:36.7531952Z [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' || :"
2025-08-14T23:42:36.7846388Z Entering 'android/libs/fbjni'
2025-08-14T23:42:36.7906227Z Entering 'third_party/FP16'
2025-08-14T23:42:36.7975993Z Entering 'third_party/FXdiv'
2025-08-14T23:42:36.8035534Z Entering 'third_party/NNPACK'
2025-08-14T23:42:36.8099601Z Entering 'third_party/NVTX'
2025-08-14T23:42:36.8166043Z Entering 'third_party/VulkanMemoryAllocator'
2025-08-14T23:42:36.8225931Z Entering 'third_party/XNNPACK'
2025-08-14T23:42:36.8300949Z Entering 'third_party/aiter'
2025-08-14T23:42:36.8364826Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-08-14T23:42:36.8438545Z Entering 'third_party/benchmark'
2025-08-14T23:42:36.8497727Z Entering 'third_party/composable_kernel'
2025-08-14T23:42:36.8564565Z Entering 'third_party/cpp-httplib'
2025-08-14T23:42:36.8630354Z Entering 'third_party/cpuinfo'
2025-08-14T23:42:36.8690068Z Entering 'third_party/cudnn_frontend'
2025-08-14T23:42:36.8749050Z Entering 'third_party/cutlass'
2025-08-14T23:42:36.8823461Z Entering 'third_party/fbgemm'
2025-08-14T23:42:36.8888363Z Entering 'third_party/fbgemm/external/asmjit'
2025-08-14T23:42:36.8946390Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-08-14T23:42:36.9020269Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-08-14T23:42:36.9077249Z Entering 'third_party/fbgemm/external/cutlass'
2025-08-14T23:42:36.9151260Z Entering 'third_party/fbgemm/external/googletest'
2025-08-14T23:42:36.9216354Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-08-14T23:42:36.9277038Z Entering 'third_party/fbgemm/external/json'
2025-08-14T23:42:36.9347283Z Entering 'third_party/flash-attention'
2025-08-14T23:42:36.9416087Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-08-14T23:42:36.9482900Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-08-14T23:42:36.9552338Z Entering 'third_party/flatbuffers'
2025-08-14T23:42:36.9617055Z Entering 'third_party/fmt'
2025-08-14T23:42:36.9683784Z Entering 'third_party/gemmlowp/gemmlowp'
2025-08-14T23:42:36.9743962Z Entering 'third_party/gloo'
2025-08-14T23:42:36.9805013Z Entering 'third_party/googletest'
2025-08-14T23:42:36.9864890Z Entering 'third_party/ideep'
2025-08-14T23:42:36.9926788Z Entering 'third_party/ideep/mkl-dnn'
2025-08-14T23:42:36.9992494Z Entering 'third_party/ittapi'
2025-08-14T23:42:37.0049431Z Entering 'third_party/kineto'
2025-08-14T23:42:37.0112367Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-14T23:42:37.0170197Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-14T23:42:37.0235525Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
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2025-08-14T23:42:37.2786880Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
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2025-08-14T23:42:37.7633933Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
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2025-08-14T23:42:37.7708426Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
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2025-08-14T23:42:37.7864297Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
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2025-08-14T23:42:37.9235792Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
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2025-08-14T23:42:38.0658272Z http.https://github.com/.extraheader
2025-08-14T23:42:38.0801360Z A job completed hook has been configured by the self-hosted runner administrator
2025-08-14T23:42:38.0827369Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh'
2025-08-14T23:42:38.0833645Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T23:42:38.0833936Z ##[endgroup]
2025-08-14T23:42:44.9121014Z Cleaning up orphan processes