2025-08-14T21:26:09.6732337Z Current runner version: '2.328.0' 2025-08-14T21:26:09.6735679Z Runner name: 'linux.rocm.gpu.gfx942.1-ccq8d-runner-bpn7b' 2025-08-14T21:26:09.6736081Z Runner group name: 'default' 2025-08-14T21:26:09.6736505Z Machine name: 'linux' 2025-08-14T21:26:09.6737685Z ##[group]GITHUB_TOKEN Permissions 2025-08-14T21:26:09.6738836Z Contents: read 2025-08-14T21:26:09.6739091Z Metadata: read 2025-08-14T21:26:09.6739317Z ##[endgroup] 2025-08-14T21:26:09.6740412Z Secret source: Actions 2025-08-14T21:26:09.6740738Z Prepare workflow directory 2025-08-14T21:26:09.7056696Z Prepare all required actions 2025-08-14T21:26:09.7078015Z Getting action download info 2025-08-14T21:26:10.0618092Z Download action repository 'pytorch/pytorch@main' (SHA:3be70dc30e893b552fc0f23ca06cd8f7949b6d08) 2025-08-14T21:26:12.6156336Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-08-14T21:26:13.0763319Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-08-14T21:26:13.4519937Z Download action repository 'pytorch/test-infra@main' (SHA:83f58f391e939c10dcb8cb6d745e4cefa3b98a84) 2025-08-14T21:26:14.0699747Z Download action repository 'actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-08-14T21:26:14.5535380Z Getting action download info 2025-08-14T21:26:14.6670820Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-08-14T21:26:15.0422457Z Getting action download info 2025-08-14T21:26:15.1696642Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-08-14T21:26:15.5282194Z Getting action download info 2025-08-14T21:26:15.6711432Z Uses: pytorch/pytorch/.github/workflows/_rocm-test.yml@refs/heads/main (1fc683cf17c8c673044538d10266c00f92987be2) 2025-08-14T21:26:15.6713663Z ##[group] Inputs 2025-08-14T21:26:15.6713813Z build-environment: linux-jammy-rocm-py3_10 2025-08-14T21:26:15.6715503Z test-matrix: {"include": [{"config": "dynamo_eager_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamo_eager_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamo_eager_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamo_eager_timm", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamo_eager_timm", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "aot_eager_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "aot_eager_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "aot_eager_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "aot_eager_timm", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "aot_eager_timm", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamic_aot_eager_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamic_aot_eager_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamic_aot_eager_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamic_aot_eager_timm", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamic_aot_eager_timm", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}]} 2025-08-14T21:26:15.6717425Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:26:15.6717723Z sync-tag: 2025-08-14T21:26:15.6718085Z timeout-minutes: 300 2025-08-14T21:26:15.6718181Z tests-to-include: 2025-08-14T21:26:15.6718455Z dashboard-tag: 2025-08-14T21:26:15.6718796Z disable-monitor: true 2025-08-14T21:26:15.6721826Z monitor-log-interval: 5 2025-08-14T21:26:15.6721947Z monitor-data-collect-interval: 1 2025-08-14T21:26:15.6722064Z ##[endgroup] 2025-08-14T21:26:15.6722281Z Complete job name: rocm-py3_10-periodic-dynamo-benchmarks / test (dynamic_aot_eager_torchbench, 1, 2, linux.rocm.gpu.gfx942.1) 2025-08-14T21:26:15.7006496Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-08-14T21:26:15.7006746Z with: 2025-08-14T21:26:15.7006830Z no-sudo: true 2025-08-14T21:26:15.7006916Z submodules: recursive 2025-08-14T21:26:15.7007008Z fetch-depth: 0 2025-08-14T21:26:15.7007135Z env: 2025-08-14T21:26:15.7007226Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:26:15.7007319Z ##[endgroup] 2025-08-14T21:26:15.7061678Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:26:15.7062056Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:26:15.7070066Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:26:15.7070212Z env: 2025-08-14T21:26:15.7070296Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:26:15.7070392Z ##[endgroup] 2025-08-14T21:26:15.7199637Z ##[group]Run # Use all available CPUs for fetching 2025-08-14T21:26:15.7199873Z # Use all available CPUs for fetching 2025-08-14T21:26:15.7200006Z cd "${GITHUB_WORKSPACE}" 2025-08-14T21:26:15.7200140Z git config --global fetch.parallel 0 2025-08-14T21:26:15.7200282Z git config --global submodule.fetchJobs 0 2025-08-14T21:26:15.7200512Z  2025-08-14T21:26:15.7200647Z # Clean workspace. The default checkout action should also do this, but 2025-08-14T21:26:15.7200817Z # do it here as well just in case 2025-08-14T21:26:15.7200936Z if [[ -d .git ]]; then 2025-08-14T21:26:15.7201057Z  if [ -z "${NO_SUDO}" ]; then 2025-08-14T21:26:15.7201174Z  sudo git clean -ffdx 2025-08-14T21:26:15.7201275Z  else 2025-08-14T21:26:15.7201367Z  git clean -ffdx 2025-08-14T21:26:15.7201461Z  fi 2025-08-14T21:26:15.7201541Z fi 2025-08-14T21:26:15.7207146Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:26:15.7207283Z env: 2025-08-14T21:26:15.7207363Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:26:15.7207456Z NO_SUDO: true 2025-08-14T21:26:15.7207539Z ##[endgroup] 2025-08-14T21:26:15.7335653Z ##[group]Run actions/checkout@v4 2025-08-14T21:26:15.7335790Z with: 2025-08-14T21:26:15.7335893Z ref: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:26:15.7336014Z fetch-depth: 0 2025-08-14T21:26:15.7336103Z submodules: recursive 2025-08-14T21:26:15.7336201Z show-progress: false 2025-08-14T21:26:15.7336297Z repository: pytorch/pytorch 2025-08-14T21:26:15.7336470Z token: *** 2025-08-14T21:26:15.7336568Z ssh-strict: true 2025-08-14T21:26:15.7336653Z ssh-user: git 2025-08-14T21:26:15.7336741Z persist-credentials: true 2025-08-14T21:26:15.7336842Z clean: true 2025-08-14T21:26:15.7336933Z sparse-checkout-cone-mode: true 2025-08-14T21:26:15.7337043Z fetch-tags: false 2025-08-14T21:26:15.7337131Z lfs: false 2025-08-14T21:26:15.7337216Z set-safe-directory: true 2025-08-14T21:26:15.7337321Z env: 2025-08-14T21:26:15.7337402Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:26:15.7337502Z ##[endgroup] 2025-08-14T21:26:15.7878387Z Syncing repository: pytorch/pytorch 2025-08-14T21:26:15.7878985Z ##[group]Getting Git version info 2025-08-14T21:26:15.7879145Z Working directory is '/home/runner/_work/pytorch/pytorch' 2025-08-14T21:26:15.7879379Z [command]/usr/bin/git version 2025-08-14T21:26:15.7880104Z git version 2.50.1 2025-08-14T21:26:15.7902311Z ##[endgroup] 2025-08-14T21:26:15.7910248Z Copying '/home/runner/.gitconfig' to '/home/runner/_work/_temp/dc08ef8c-e6c1-4b00-b468-715328717c12/.gitconfig' 2025-08-14T21:26:15.7918603Z Temporarily overriding HOME='/home/runner/_work/_temp/dc08ef8c-e6c1-4b00-b468-715328717c12' before making global git config changes 2025-08-14T21:26:15.7927937Z Adding repository directory to the temporary git global config as a safe directory 2025-08-14T21:26:15.7928446Z [command]/usr/bin/git config --global --add safe.directory /home/runner/_work/pytorch/pytorch 2025-08-14T21:26:15.7954237Z Deleting the contents of '/home/runner/_work/pytorch/pytorch' 2025-08-14T21:26:15.7956626Z ##[group]Initializing the repository 2025-08-14T21:26:15.7959469Z [command]/usr/bin/git init /home/runner/_work/pytorch/pytorch 2025-08-14T21:26:15.7984602Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-08-14T21:26:15.7984921Z hint: is subject to change. To configure the initial branch name to use in all 2025-08-14T21:26:15.7985168Z hint: of your new repositories, which will suppress this warning, call: 2025-08-14T21:26:15.7985350Z hint: 2025-08-14T21:26:15.7985531Z hint: git config --global init.defaultBranch 2025-08-14T21:26:15.7985719Z hint: 2025-08-14T21:26:15.7985869Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-08-14T21:26:15.7986120Z hint: 'development'. The just-created branch can be renamed via this command: 2025-08-14T21:26:15.7986301Z hint: 2025-08-14T21:26:15.7986411Z hint: git branch -m 2025-08-14T21:26:15.7986537Z hint: 2025-08-14T21:26:15.7986697Z hint: Disable this message with "git config set advice.defaultBranchName false" 2025-08-14T21:26:15.7986969Z Initialized empty Git repository in /home/runner/_work/pytorch/pytorch/.git/ 2025-08-14T21:26:15.7990332Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-08-14T21:26:15.8026886Z ##[endgroup] 2025-08-14T21:26:15.8027078Z ##[group]Disabling automatic garbage collection 2025-08-14T21:26:15.8033251Z [command]/usr/bin/git config --local gc.auto 0 2025-08-14T21:26:15.8061272Z ##[endgroup] 2025-08-14T21:26:15.8061597Z ##[group]Setting up auth 2025-08-14T21:26:15.8065233Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-08-14T21:26:15.8091016Z [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' || :" 2025-08-14T21:26:15.8313344Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-08-14T21:26:15.8330142Z [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' || :" 2025-08-14T21:26:15.8554712Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-08-14T21:26:15.8577375Z ##[endgroup] 2025-08-14T21:26:15.8577628Z ##[group]Fetching the repository 2025-08-14T21:26:15.8582118Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-08-14T21:26:41.0678621Z From https://github.com/pytorch/pytorch 2025-08-14T21:26:41.0679561Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-08-14T21:26:41.0679959Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-08-14T21:26:41.0680318Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-08-14T21:26:41.0680730Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-08-14T21:26:41.0681169Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-08-14T21:26:41.0681577Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-08-14T21:26:41.0681932Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-08-14T21:26:41.0683505Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-08-14T21:26:41.0683862Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-08-14T21:26:41.0684241Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-08-14T21:26:41.0684837Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-08-14T21:26:41.0685325Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-08-14T21:26:41.0685756Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-08-14T21:26:41.0686137Z * [new branch] addVllmPin -> origin/addVllmPin 2025-08-14T21:26:41.0686511Z * [new branch] add_windows_testing_back -> origin/add_windows_testing_back 2025-08-14T21:26:41.0686901Z * [new branch] addbuildvllm -> origin/addbuildvllm 2025-08-14T21:26:41.0687256Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-08-14T21:26:41.0687596Z * [new branch] addsimde -> origin/addsimde 2025-08-14T21:26:41.0687948Z * [new branch] addvllpinnedfile -> origin/addvllpinnedfile 2025-08-14T21:26:41.0688310Z * [new branch] adi/acl_upgrade -> origin/adi/acl_upgrade 2025-08-14T21:26:41.0688672Z * [new branch] adi/skip_slow_tests -> origin/adi/skip_slow_tests 2025-08-14T21:26:41.0688991Z * [new branch] adi/test -> origin/adi/test 2025-08-14T21:26:41.0689325Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-08-14T21:26:41.0689683Z * [new branch] adi/test_fusions -> origin/adi/test_fusions 2025-08-14T21:26:41.0690167Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-08-14T21:26:41.0692064Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-08-14T21:26:41.0692542Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-08-14T21:26:41.0693031Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-08-14T21:26:41.0693654Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-08-14T21:26:41.0694080Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-08-14T21:26:41.0694500Z * [new branch] albanD-patch-1 -> origin/albanD-patch-1 2025-08-14T21:26:41.0694796Z * [new branch] alt-disable -> origin/alt-disable 2025-08-14T21:26:41.0695161Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-08-14T21:26:41.0695544Z * [new branch] angelayi/aoti_inductor_fx -> origin/angelayi/aoti_inductor_fx 2025-08-14T21:26:41.0696289Z * [new branch] angelayi/assert_tensor_metadata_device -> origin/angelayi/assert_tensor_metadata_device 2025-08-14T21:26:41.0696783Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-08-14T21:26:41.0697174Z * [new branch] angelayi/benchmark2 -> origin/angelayi/benchmark2 2025-08-14T21:26:41.0697633Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-08-14T21:26:41.0698071Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-08-14T21:26:41.0698482Z * [new branch] angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph 2025-08-14T21:26:41.0698943Z * [new branch] angelayi/customop -> origin/angelayi/customop 2025-08-14T21:26:41.0699340Z * [new branch] angelayi/del_lib -> origin/angelayi/del_lib 2025-08-14T21:26:41.0700008Z * [new branch] angelayi/docs -> origin/angelayi/docs 2025-08-14T21:26:41.0700357Z * [new branch] angelayi/docs2 -> origin/angelayi/docs2 2025-08-14T21:26:41.0700684Z * [new branch] angelayi/fix_pt2 -> origin/angelayi/fix_pt2 2025-08-14T21:26:41.0701431Z * [new branch] angelayi/logging.bak -> origin/angelayi/logging.bak 2025-08-14T21:26:41.0701803Z * [new branch] angelayi/logging2 -> origin/angelayi/logging2 2025-08-14T21:26:41.0702173Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-08-14T21:26:41.0702557Z * [new branch] angelayi/pytree -> origin/angelayi/pytree 2025-08-14T21:26:41.0703285Z * [new branch] angelayi/save_error -> origin/angelayi/save_error 2025-08-14T21:26:41.0703697Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-08-14T21:26:41.0704166Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 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ciflow/binaries_wheel/160496 -> ciflow/binaries_wheel/160496 2025-08-14T21:26:41.3268299Z * [new tag] ciflow/h100-distributed/156703 -> ciflow/h100-distributed/156703 2025-08-14T21:26:41.3268674Z * [new tag] ciflow/h100-symm-mem/151845 -> ciflow/h100-symm-mem/151845 2025-08-14T21:26:41.3268886Z * [new tag] ciflow/h100-symm-mem/155923 -> ciflow/h100-symm-mem/155923 2025-08-14T21:26:41.3270611Z * [new tag] ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635 2025-08-14T21:26:41.3270898Z * [new tag] ciflow/h100-symm-mem/159118 -> ciflow/h100-symm-mem/159118 2025-08-14T21:26:41.3271058Z * [new tag] ciflow/h100-symm-mem/159562 -> ciflow/h100-symm-mem/159562 2025-08-14T21:26:41.3271146Z * [new tag] ciflow/h100-symm-mem/159889 -> ciflow/h100-symm-mem/159889 2025-08-14T21:26:41.3271273Z * [new tag] ciflow/h100/159158 -> ciflow/h100/159158 2025-08-14T21:26:41.3271338Z * [new tag] ciflow/h100/160450 -> ciflow/h100/160450 2025-08-14T21:26:41.3271402Z * [new tag] ciflow/h100/160480 -> ciflow/h100/160480 2025-08-14T21:26:41.3271476Z * [new tag] ciflow/h100/160614 -> ciflow/h100/160614 2025-08-14T21:26:41.3271637Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/151845 -> ciflow/inductor-perf-test-nightly-rocm/151845 2025-08-14T21:26:41.3271930Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/160538 -> ciflow/inductor-perf-test-nightly-rocm/160538 2025-08-14T21:26:41.3272211Z * [new tag] ciflow/inductor-perf-test-nightly-x86-zen/156599 -> ciflow/inductor-perf-test-nightly-x86-zen/156599 2025-08-14T21:26:41.3272548Z * [new tag] ciflow/inductor-periodic/160406 -> ciflow/inductor-periodic/160406 2025-08-14T21:26:41.3272853Z * [new tag] ciflow/inductor-periodic/160538 -> ciflow/inductor-periodic/160538 2025-08-14T21:26:41.3273128Z * [new tag] ciflow/inductor-rocm/151845 -> ciflow/inductor-rocm/151845 2025-08-14T21:26:41.3273398Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-08-14T21:26:41.3273585Z * [new tag] ciflow/inductor-rocm/160073 -> ciflow/inductor-rocm/160073 2025-08-14T21:26:41.3273819Z * [new tag] ciflow/inductor-rocm/160538 -> ciflow/inductor-rocm/160538 2025-08-14T21:26:41.3274188Z * [new tag] ciflow/inductor/134881 -> ciflow/inductor/134881 2025-08-14T21:26:41.3274458Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-08-14T21:26:41.3274580Z * [new tag] ciflow/inductor/144516 -> ciflow/inductor/144516 2025-08-14T21:26:41.3274809Z * [new tag] ciflow/inductor/146506 -> ciflow/inductor/146506 2025-08-14T21:26:41.3275143Z * [new tag] ciflow/inductor/147360 -> ciflow/inductor/147360 2025-08-14T21:26:41.3275267Z * [new tag] ciflow/inductor/147990 -> ciflow/inductor/147990 2025-08-14T21:26:41.3276773Z * [new tag] ciflow/inductor/148180 -> ciflow/inductor/148180 2025-08-14T21:26:41.3276922Z * [new tag] ciflow/inductor/148328 -> ciflow/inductor/148328 2025-08-14T21:26:41.3277011Z * [new tag] ciflow/inductor/148484 -> ciflow/inductor/148484 2025-08-14T21:26:41.3277082Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-08-14T21:26:41.3277161Z * [new tag] ciflow/inductor/150302 -> ciflow/inductor/150302 2025-08-14T21:26:41.3277245Z * [new tag] ciflow/inductor/151845 -> ciflow/inductor/151845 2025-08-14T21:26:41.3277313Z * [new tag] ciflow/inductor/152198 -> ciflow/inductor/152198 2025-08-14T21:26:41.3277388Z * [new tag] ciflow/inductor/152624 -> ciflow/inductor/152624 2025-08-14T21:26:41.3277475Z * [new tag] ciflow/inductor/153966 -> ciflow/inductor/153966 2025-08-14T21:26:41.3277704Z * [new tag] ciflow/inductor/154193 -> ciflow/inductor/154193 2025-08-14T21:26:41.3278008Z * [new tag] ciflow/inductor/154650 -> ciflow/inductor/154650 2025-08-14T21:26:41.3278230Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-08-14T21:26:41.3278381Z * [new tag] ciflow/inductor/155072 -> ciflow/inductor/155072 2025-08-14T21:26:41.3278618Z * [new tag] ciflow/inductor/155152 -> ciflow/inductor/155152 2025-08-14T21:26:41.3278956Z * [new tag] ciflow/inductor/155153 -> ciflow/inductor/155153 2025-08-14T21:26:41.3279196Z * [new tag] ciflow/inductor/155154 -> ciflow/inductor/155154 2025-08-14T21:26:41.3279431Z * [new tag] ciflow/inductor/155501 -> ciflow/inductor/155501 2025-08-14T21:26:41.3279719Z * [new tag] ciflow/inductor/155502 -> ciflow/inductor/155502 2025-08-14T21:26:41.3279943Z * [new tag] ciflow/inductor/155503 -> ciflow/inductor/155503 2025-08-14T21:26:41.3280211Z * [new tag] ciflow/inductor/155504 -> ciflow/inductor/155504 2025-08-14T21:26:41.3280383Z * [new tag] ciflow/inductor/155557 -> ciflow/inductor/155557 2025-08-14T21:26:41.3280713Z * [new tag] ciflow/inductor/155608 -> ciflow/inductor/155608 2025-08-14T21:26:41.3280954Z * [new tag] ciflow/inductor/155923 -> ciflow/inductor/155923 2025-08-14T21:26:41.3282513Z * [new tag] ciflow/inductor/155928 -> ciflow/inductor/155928 2025-08-14T21:26:41.3282849Z * [new tag] ciflow/inductor/155958 -> ciflow/inductor/155958 2025-08-14T21:26:41.3282922Z * [new tag] ciflow/inductor/156049 -> ciflow/inductor/156049 2025-08-14T21:26:41.3283012Z * [new tag] ciflow/inductor/156851 -> ciflow/inductor/156851 2025-08-14T21:26:41.3283077Z * [new tag] ciflow/inductor/156967 -> ciflow/inductor/156967 2025-08-14T21:26:41.3283140Z * [new tag] ciflow/inductor/157148 -> ciflow/inductor/157148 2025-08-14T21:26:41.3283201Z * [new tag] ciflow/inductor/157149 -> ciflow/inductor/157149 2025-08-14T21:26:41.3283268Z * [new tag] ciflow/inductor/157152 -> ciflow/inductor/157152 2025-08-14T21:26:41.3283339Z * [new tag] ciflow/inductor/157542 -> ciflow/inductor/157542 2025-08-14T21:26:41.3283553Z * [new tag] ciflow/inductor/157572 -> ciflow/inductor/157572 2025-08-14T21:26:41.3283690Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-08-14T21:26:41.3284015Z * [new tag] ciflow/inductor/157685 -> ciflow/inductor/157685 2025-08-14T21:26:41.3284166Z * [new tag] ciflow/inductor/157686 -> ciflow/inductor/157686 2025-08-14T21:26:41.3284402Z * [new tag] ciflow/inductor/157689 -> ciflow/inductor/157689 2025-08-14T21:26:41.3284746Z * [new tag] ciflow/inductor/157699 -> ciflow/inductor/157699 2025-08-14T21:26:41.3284914Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-08-14T21:26:41.3285172Z * [new tag] ciflow/inductor/157944 -> ciflow/inductor/157944 2025-08-14T21:26:41.3285493Z * [new tag] ciflow/inductor/157971 -> ciflow/inductor/157971 2025-08-14T21:26:41.3285687Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-08-14T21:26:41.3285926Z * [new tag] ciflow/inductor/158061 -> ciflow/inductor/158061 2025-08-14T21:26:41.3286275Z * [new tag] ciflow/inductor/158091 -> ciflow/inductor/158091 2025-08-14T21:26:41.3286428Z * [new tag] ciflow/inductor/158097 -> ciflow/inductor/158097 2025-08-14T21:26:41.3286670Z * [new tag] ciflow/inductor/158098 -> ciflow/inductor/158098 2025-08-14T21:26:41.3288354Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-08-14T21:26:41.3288487Z * [new tag] ciflow/inductor/158168 -> ciflow/inductor/158168 2025-08-14T21:26:41.3288562Z * [new tag] ciflow/inductor/158250 -> ciflow/inductor/158250 2025-08-14T21:26:41.3288634Z * [new tag] ciflow/inductor/158321 -> ciflow/inductor/158321 2025-08-14T21:26:41.3288828Z * [new tag] ciflow/inductor/158609 -> ciflow/inductor/158609 2025-08-14T21:26:41.3288894Z * [new tag] ciflow/inductor/158647 -> ciflow/inductor/158647 2025-08-14T21:26:41.3288957Z * [new tag] ciflow/inductor/158914 -> ciflow/inductor/158914 2025-08-14T21:26:41.3289117Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-08-14T21:26:41.3289182Z * [new tag] ciflow/inductor/158987 -> ciflow/inductor/158987 2025-08-14T21:26:41.3289405Z * [new tag] ciflow/inductor/159009 -> ciflow/inductor/159009 2025-08-14T21:26:41.3289653Z * [new tag] ciflow/inductor/159010 -> ciflow/inductor/159010 2025-08-14T21:26:41.3289912Z * [new tag] ciflow/inductor/159093 -> ciflow/inductor/159093 2025-08-14T21:26:41.3290062Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-08-14T21:26:41.3290297Z * [new tag] ciflow/inductor/159197 -> ciflow/inductor/159197 2025-08-14T21:26:41.3290719Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-08-14T21:26:41.3290857Z * [new tag] ciflow/inductor/159281 -> ciflow/inductor/159281 2025-08-14T21:26:41.3291271Z * [new tag] ciflow/inductor/159329 -> ciflow/inductor/159329 2025-08-14T21:26:41.3291395Z * [new tag] ciflow/inductor/159361 -> ciflow/inductor/159361 2025-08-14T21:26:41.3291653Z * [new tag] ciflow/inductor/159365 -> ciflow/inductor/159365 2025-08-14T21:26:41.3291899Z * [new tag] ciflow/inductor/159366 -> ciflow/inductor/159366 2025-08-14T21:26:41.3292247Z * [new tag] ciflow/inductor/159367 -> ciflow/inductor/159367 2025-08-14T21:26:41.3292399Z * [new tag] ciflow/inductor/159368 -> ciflow/inductor/159368 2025-08-14T21:26:41.3293981Z * [new tag] ciflow/inductor/159473 -> ciflow/inductor/159473 2025-08-14T21:26:41.3294126Z * [new tag] ciflow/inductor/159483 -> ciflow/inductor/159483 2025-08-14T21:26:41.3294219Z * [new tag] ciflow/inductor/159508 -> ciflow/inductor/159508 2025-08-14T21:26:41.3294294Z * [new tag] ciflow/inductor/159523 -> ciflow/inductor/159523 2025-08-14T21:26:41.3294364Z * [new tag] ciflow/inductor/159678 -> ciflow/inductor/159678 2025-08-14T21:26:41.3294427Z * [new tag] ciflow/inductor/159691 -> ciflow/inductor/159691 2025-08-14T21:26:41.3294501Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-08-14T21:26:41.3294765Z * [new tag] ciflow/inductor/159786 -> ciflow/inductor/159786 2025-08-14T21:26:41.3294911Z * [new tag] ciflow/inductor/159817 -> ciflow/inductor/159817 2025-08-14T21:26:41.3295183Z * [new tag] ciflow/inductor/159842 -> ciflow/inductor/159842 2025-08-14T21:26:41.3295432Z * [new tag] ciflow/inductor/159864 -> ciflow/inductor/159864 2025-08-14T21:26:41.3295691Z * [new tag] ciflow/inductor/159865 -> ciflow/inductor/159865 2025-08-14T21:26:41.3295955Z * [new tag] ciflow/inductor/159869 -> ciflow/inductor/159869 2025-08-14T21:26:41.3296199Z * [new tag] ciflow/inductor/159875 -> ciflow/inductor/159875 2025-08-14T21:26:41.3296537Z * [new tag] ciflow/inductor/159889 -> ciflow/inductor/159889 2025-08-14T21:26:41.3296692Z * [new tag] ciflow/inductor/159902 -> ciflow/inductor/159902 2025-08-14T21:26:41.3296988Z * [new tag] ciflow/inductor/159923 -> ciflow/inductor/159923 2025-08-14T21:26:41.3297282Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-08-14T21:26:41.3297633Z * [new tag] ciflow/inductor/160004 -> ciflow/inductor/160004 2025-08-14T21:26:41.3297936Z * [new tag] ciflow/inductor/160080 -> ciflow/inductor/160080 2025-08-14T21:26:41.3298083Z * [new tag] ciflow/inductor/160108 -> ciflow/inductor/160108 2025-08-14T21:26:41.3298346Z * [new tag] ciflow/inductor/160109 -> ciflow/inductor/160109 2025-08-14T21:26:41.3299958Z * [new tag] ciflow/inductor/160111 -> ciflow/inductor/160111 2025-08-14T21:26:41.3300192Z * [new tag] ciflow/inductor/160113 -> ciflow/inductor/160113 2025-08-14T21:26:41.3300268Z * [new tag] ciflow/inductor/160127 -> ciflow/inductor/160127 2025-08-14T21:26:41.3300339Z * [new tag] ciflow/inductor/160131 -> ciflow/inductor/160131 2025-08-14T21:26:41.3300421Z * [new tag] ciflow/inductor/160132 -> ciflow/inductor/160132 2025-08-14T21:26:41.3300491Z * [new tag] ciflow/inductor/160136 -> ciflow/inductor/160136 2025-08-14T21:26:41.3300568Z * [new tag] ciflow/inductor/160138 -> ciflow/inductor/160138 2025-08-14T21:26:41.3300648Z * [new tag] ciflow/inductor/160151 -> ciflow/inductor/160151 2025-08-14T21:26:41.3300778Z * [new tag] ciflow/inductor/160152 -> ciflow/inductor/160152 2025-08-14T21:26:41.3301189Z * [new tag] ciflow/inductor/160154 -> ciflow/inductor/160154 2025-08-14T21:26:41.3301304Z * [new tag] ciflow/inductor/160156 -> ciflow/inductor/160156 2025-08-14T21:26:41.3301668Z * [new tag] ciflow/inductor/160161 -> ciflow/inductor/160161 2025-08-14T21:26:41.3302038Z * [new tag] ciflow/inductor/160166 -> ciflow/inductor/160166 2025-08-14T21:26:41.3302197Z * [new tag] ciflow/inductor/160168 -> ciflow/inductor/160168 2025-08-14T21:26:41.3302566Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-08-14T21:26:41.3302803Z * [new tag] ciflow/inductor/160181 -> ciflow/inductor/160181 2025-08-14T21:26:41.3303183Z * [new tag] ciflow/inductor/160183 -> ciflow/inductor/160183 2025-08-14T21:26:41.3303449Z * [new tag] ciflow/inductor/160190 -> ciflow/inductor/160190 2025-08-14T21:26:41.3303862Z * [new tag] ciflow/inductor/160198 -> ciflow/inductor/160198 2025-08-14T21:26:41.3304245Z * [new tag] ciflow/inductor/160201 -> ciflow/inductor/160201 2025-08-14T21:26:41.3304493Z * [new tag] ciflow/inductor/160209 -> ciflow/inductor/160209 2025-08-14T21:26:41.3304797Z * [new tag] ciflow/inductor/160218 -> ciflow/inductor/160218 2025-08-14T21:26:41.3305035Z * [new tag] ciflow/inductor/160239 -> ciflow/inductor/160239 2025-08-14T21:26:41.3306886Z * [new tag] ciflow/inductor/160250 -> ciflow/inductor/160250 2025-08-14T21:26:41.3307112Z * [new tag] ciflow/inductor/160253 -> ciflow/inductor/160253 2025-08-14T21:26:41.3307181Z * [new tag] ciflow/inductor/160266 -> ciflow/inductor/160266 2025-08-14T21:26:41.3307262Z * [new tag] ciflow/inductor/160282 -> ciflow/inductor/160282 2025-08-14T21:26:41.3307341Z * [new tag] ciflow/inductor/160298 -> ciflow/inductor/160298 2025-08-14T21:26:41.3307408Z * [new tag] ciflow/inductor/160301 -> ciflow/inductor/160301 2025-08-14T21:26:41.3307476Z * [new tag] ciflow/inductor/160310 -> ciflow/inductor/160310 2025-08-14T21:26:41.3307545Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-08-14T21:26:41.3307735Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-08-14T21:26:41.3308102Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-08-14T21:26:41.3308372Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-08-14T21:26:41.3308759Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-08-14T21:26:41.3309032Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-08-14T21:26:41.3309524Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-08-14T21:26:41.3309749Z * [new tag] ciflow/inductor/160351 -> ciflow/inductor/160351 2025-08-14T21:26:41.3310026Z * [new tag] ciflow/inductor/160353 -> ciflow/inductor/160353 2025-08-14T21:26:41.3310190Z * [new tag] ciflow/inductor/160362 -> ciflow/inductor/160362 2025-08-14T21:26:41.3310457Z * [new tag] ciflow/inductor/160363 -> ciflow/inductor/160363 2025-08-14T21:26:41.3310835Z * [new tag] ciflow/inductor/160364 -> ciflow/inductor/160364 2025-08-14T21:26:41.3310994Z * [new tag] ciflow/inductor/160365 -> ciflow/inductor/160365 2025-08-14T21:26:41.3311384Z * [new tag] ciflow/inductor/160366 -> ciflow/inductor/160366 2025-08-14T21:26:41.3311550Z * [new tag] ciflow/inductor/160367 -> ciflow/inductor/160367 2025-08-14T21:26:41.3313233Z * [new tag] ciflow/inductor/160368 -> ciflow/inductor/160368 2025-08-14T21:26:41.3313414Z * [new tag] ciflow/inductor/160369 -> ciflow/inductor/160369 2025-08-14T21:26:41.3313516Z * [new tag] ciflow/inductor/160371 -> ciflow/inductor/160371 2025-08-14T21:26:41.3313589Z * [new tag] ciflow/inductor/160374 -> ciflow/inductor/160374 2025-08-14T21:26:41.3313658Z * [new tag] ciflow/inductor/160375 -> ciflow/inductor/160375 2025-08-14T21:26:41.3313735Z * [new tag] ciflow/inductor/160377 -> ciflow/inductor/160377 2025-08-14T21:26:41.3313802Z * [new tag] ciflow/inductor/160380 -> ciflow/inductor/160380 2025-08-14T21:26:41.3313910Z * [new tag] ciflow/inductor/160381 -> ciflow/inductor/160381 2025-08-14T21:26:41.3314225Z * [new tag] ciflow/inductor/160383 -> ciflow/inductor/160383 2025-08-14T21:26:41.3314614Z * [new tag] ciflow/inductor/160394 -> ciflow/inductor/160394 2025-08-14T21:26:41.3314859Z * [new tag] ciflow/inductor/160401 -> ciflow/inductor/160401 2025-08-14T21:26:41.3315123Z * [new tag] ciflow/inductor/160402 -> ciflow/inductor/160402 2025-08-14T21:26:41.3315405Z * [new tag] ciflow/inductor/160403 -> ciflow/inductor/160403 2025-08-14T21:26:41.3315786Z * [new tag] ciflow/inductor/160424 -> ciflow/inductor/160424 2025-08-14T21:26:41.3316061Z * [new tag] ciflow/inductor/160426 -> ciflow/inductor/160426 2025-08-14T21:26:41.3316348Z * [new tag] ciflow/inductor/160431 -> ciflow/inductor/160431 2025-08-14T21:26:41.3316690Z * [new tag] ciflow/inductor/160448 -> ciflow/inductor/160448 2025-08-14T21:26:41.3316978Z * [new tag] ciflow/inductor/160450 -> ciflow/inductor/160450 2025-08-14T21:26:41.3317154Z * [new tag] ciflow/inductor/160455 -> ciflow/inductor/160455 2025-08-14T21:26:41.3317562Z * [new tag] ciflow/inductor/160456 -> ciflow/inductor/160456 2025-08-14T21:26:41.3317846Z * [new tag] ciflow/inductor/160461 -> ciflow/inductor/160461 2025-08-14T21:26:41.3318129Z * [new tag] ciflow/inductor/160462 -> ciflow/inductor/160462 2025-08-14T21:26:41.3318407Z * [new tag] ciflow/inductor/160467 -> ciflow/inductor/160467 2025-08-14T21:26:41.3319887Z * [new tag] ciflow/inductor/160470 -> ciflow/inductor/160470 2025-08-14T21:26:41.3320035Z * [new tag] ciflow/inductor/160473 -> ciflow/inductor/160473 2025-08-14T21:26:41.3320212Z * [new tag] ciflow/inductor/160476 -> ciflow/inductor/160476 2025-08-14T21:26:41.3320275Z * [new tag] ciflow/inductor/160480 -> ciflow/inductor/160480 2025-08-14T21:26:41.3320336Z * [new tag] ciflow/inductor/160481 -> ciflow/inductor/160481 2025-08-14T21:26:41.3320456Z * [new tag] ciflow/inductor/160482 -> ciflow/inductor/160482 2025-08-14T21:26:41.3320550Z * [new tag] ciflow/inductor/160483 -> ciflow/inductor/160483 2025-08-14T21:26:41.3320779Z * [new tag] ciflow/inductor/160485 -> ciflow/inductor/160485 2025-08-14T21:26:41.3321177Z * [new tag] ciflow/inductor/160486 -> ciflow/inductor/160486 2025-08-14T21:26:41.3321429Z * [new tag] ciflow/inductor/160503 -> ciflow/inductor/160503 2025-08-14T21:26:41.3321693Z * [new tag] ciflow/inductor/160510 -> ciflow/inductor/160510 2025-08-14T21:26:41.3321974Z * [new tag] ciflow/inductor/160527 -> ciflow/inductor/160527 2025-08-14T21:26:41.3322256Z * [new tag] ciflow/inductor/160530 -> ciflow/inductor/160530 2025-08-14T21:26:41.3322547Z * [new tag] ciflow/inductor/160531 -> ciflow/inductor/160531 2025-08-14T21:26:41.3322982Z * [new tag] ciflow/inductor/160538 -> ciflow/inductor/160538 2025-08-14T21:26:41.3323670Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-08-14T21:26:41.3323949Z * [new tag] ciflow/inductor/160540 -> ciflow/inductor/160540 2025-08-14T21:26:41.3324319Z * [new tag] ciflow/inductor/160548 -> ciflow/inductor/160548 2025-08-14T21:26:41.3324487Z * [new tag] ciflow/inductor/160561 -> ciflow/inductor/160561 2025-08-14T21:26:41.3324871Z * [new tag] ciflow/inductor/160576 -> ciflow/inductor/160576 2025-08-14T21:26:41.3325117Z * [new tag] ciflow/inductor/160578 -> ciflow/inductor/160578 2025-08-14T21:26:41.3325504Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-08-14T21:26:41.3327051Z * [new tag] ciflow/inductor/160583 -> ciflow/inductor/160583 2025-08-14T21:26:41.3327213Z * [new tag] ciflow/inductor/160589 -> ciflow/inductor/160589 2025-08-14T21:26:41.3327293Z * [new tag] ciflow/inductor/160590 -> ciflow/inductor/160590 2025-08-14T21:26:41.3327358Z * [new tag] ciflow/inductor/160592 -> ciflow/inductor/160592 2025-08-14T21:26:41.3327422Z * [new tag] ciflow/inductor/160596 -> ciflow/inductor/160596 2025-08-14T21:26:41.3327488Z * [new tag] ciflow/inductor/160601 -> ciflow/inductor/160601 2025-08-14T21:26:41.3327672Z * [new tag] ciflow/inductor/160607 -> ciflow/inductor/160607 2025-08-14T21:26:41.3328084Z * [new tag] ciflow/inductor/160608 -> ciflow/inductor/160608 2025-08-14T21:26:41.3328253Z * [new tag] ciflow/inductor/160611 -> ciflow/inductor/160611 2025-08-14T21:26:41.3328640Z * [new tag] ciflow/inductor/160614 -> ciflow/inductor/160614 2025-08-14T21:26:41.3328943Z * [new tag] ciflow/inductor/160616 -> ciflow/inductor/160616 2025-08-14T21:26:41.3329267Z * [new tag] ciflow/inductor/160619 -> ciflow/inductor/160619 2025-08-14T21:26:41.3329526Z * [new tag] ciflow/inductor/160625 -> ciflow/inductor/160625 2025-08-14T21:26:41.3329728Z * [new tag] ciflow/inductor/160635 -> ciflow/inductor/160635 2025-08-14T21:26:41.3330113Z * [new tag] ciflow/inductor/160649 -> ciflow/inductor/160649 2025-08-14T21:26:41.3330370Z * [new tag] ciflow/inductor/160658 -> ciflow/inductor/160658 2025-08-14T21:26:41.3330659Z * [new tag] ciflow/inductor/160662 -> ciflow/inductor/160662 2025-08-14T21:26:41.3331011Z * [new tag] ciflow/inductor/160668 -> ciflow/inductor/160668 2025-08-14T21:26:41.3331325Z * [new tag] ciflow/inductor/160669 -> ciflow/inductor/160669 2025-08-14T21:26:41.3331680Z * [new tag] ciflow/inductor/160670 -> ciflow/inductor/160670 2025-08-14T21:26:41.3332022Z * [new tag] ciflow/inductor/160671 -> ciflow/inductor/160671 2025-08-14T21:26:41.3332327Z * [new tag] ciflow/inductor/160677 -> ciflow/inductor/160677 2025-08-14T21:26:41.3333943Z * [new tag] ciflow/inductor/160679 -> ciflow/inductor/160679 2025-08-14T21:26:41.3334233Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-08-14T21:26:41.3334315Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-08-14T21:26:41.3334396Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-08-14T21:26:41.3334731Z * [new tag] ciflow/linux-aarch64/147855 -> ciflow/linux-aarch64/147855 2025-08-14T21:26:41.3334814Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-08-14T21:26:41.3334911Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-08-14T21:26:41.3335049Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-08-14T21:26:41.3335286Z * [new tag] ciflow/linux-aarch64/160299 -> ciflow/linux-aarch64/160299 2025-08-14T21:26:41.3335485Z * [new tag] ciflow/linux-aarch64/160301 -> ciflow/linux-aarch64/160301 2025-08-14T21:26:41.3335874Z * [new tag] ciflow/mps/155923 -> ciflow/mps/155923 2025-08-14T21:26:41.3336137Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-08-14T21:26:41.3336342Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-08-14T21:26:41.3336569Z * [new tag] ciflow/mps/160541 -> ciflow/mps/160541 2025-08-14T21:26:41.3337059Z * [new tag] ciflow/nightly/156049 -> ciflow/nightly/156049 2025-08-14T21:26:41.3337149Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-08-14T21:26:41.3337374Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-08-14T21:26:41.3337727Z * [new tag] ciflow/periodic-rocm-mi300/139971 -> ciflow/periodic-rocm-mi300/139971 2025-08-14T21:26:41.3338013Z * [new tag] ciflow/periodic-rocm-mi300/160073 -> ciflow/periodic-rocm-mi300/160073 2025-08-14T21:26:41.3338126Z * [new tag] ciflow/periodic-rocm-mi300/160538 -> ciflow/periodic-rocm-mi300/160538 2025-08-14T21:26:41.3338490Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-08-14T21:26:41.3338802Z * [new tag] ciflow/periodic/131296 -> ciflow/periodic/131296 2025-08-14T21:26:41.3340377Z * [new tag] ciflow/periodic/139971 -> ciflow/periodic/139971 2025-08-14T21:26:41.3340530Z * [new tag] ciflow/periodic/143959 -> ciflow/periodic/143959 2025-08-14T21:26:41.3340765Z * [new tag] ciflow/periodic/154595 -> ciflow/periodic/154595 2025-08-14T21:26:41.3340854Z * [new tag] ciflow/periodic/156703 -> ciflow/periodic/156703 2025-08-14T21:26:41.3340926Z * [new tag] ciflow/periodic/160201 -> ciflow/periodic/160201 2025-08-14T21:26:41.3341002Z * [new tag] ciflow/periodic/160424 -> ciflow/periodic/160424 2025-08-14T21:26:41.3341073Z * [new tag] ciflow/periodic/160538 -> ciflow/periodic/160538 2025-08-14T21:26:41.3341257Z * [new tag] ciflow/periodic/1febab2a89302464f6c7d69cfbef7a24c421ea65 -> ciflow/periodic/1febab2a89302464f6c7d69cfbef7a24c421ea65 2025-08-14T21:26:41.3341458Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-08-14T21:26:41.3341631Z * [new tag] ciflow/periodic/2ee22e435131369a7e4f8cc4732579acc29a941b -> ciflow/periodic/2ee22e435131369a7e4f8cc4732579acc29a941b 2025-08-14T21:26:41.3341815Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-08-14T21:26:41.3342066Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-08-14T21:26:41.3342340Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-08-14T21:26:41.3342788Z * [new tag] ciflow/periodic/4a773e1e867f28a8ff0b15203e5cd9548f74fcee -> ciflow/periodic/4a773e1e867f28a8ff0b15203e5cd9548f74fcee 2025-08-14T21:26:41.3343204Z * [new tag] ciflow/periodic/5f5f508aa836a46dfe88857fb223049616b94e93 -> ciflow/periodic/5f5f508aa836a46dfe88857fb223049616b94e93 2025-08-14T21:26:41.3343411Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-08-14T21:26:41.3343855Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-08-14T21:26:41.3344132Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-08-14T21:26:41.3344425Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-08-14T21:26:41.3344942Z * [new tag] ciflow/periodic/d7114f05b10de8e6de81ffc567d63944c3117d51 -> ciflow/periodic/d7114f05b10de8e6de81ffc567d63944c3117d51 2025-08-14T21:26:41.3345250Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-08-14T21:26:41.3345579Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-08-14T21:26:41.3345999Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-08-14T21:26:41.3347845Z * [new tag] ciflow/rocm-mi300/151360 -> ciflow/rocm-mi300/151360 2025-08-14T21:26:41.3347939Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-08-14T21:26:41.3348017Z * [new tag] ciflow/rocm-mi300/160073 -> ciflow/rocm-mi300/160073 2025-08-14T21:26:41.3348094Z * [new tag] ciflow/rocm-mi300/160468 -> ciflow/rocm-mi300/160468 2025-08-14T21:26:41.3348164Z * [new tag] ciflow/rocm-mi300/160538 -> ciflow/rocm-mi300/160538 2025-08-14T21:26:41.3348231Z * [new tag] ciflow/rocm-mi355/160215 -> ciflow/rocm-mi355/160215 2025-08-14T21:26:41.3348311Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-08-14T21:26:41.3348374Z * [new tag] ciflow/rocm/151360 -> ciflow/rocm/151360 2025-08-14T21:26:41.3348494Z * [new tag] ciflow/rocm/151845 -> ciflow/rocm/151845 2025-08-14T21:26:41.3348886Z * [new tag] ciflow/rocm/154864 -> ciflow/rocm/154864 2025-08-14T21:26:41.3349144Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-08-14T21:26:41.3349267Z * [new tag] ciflow/rocm/158219 -> ciflow/rocm/158219 2025-08-14T21:26:41.3349591Z * [new tag] ciflow/rocm/158220 -> ciflow/rocm/158220 2025-08-14T21:26:41.3349832Z * [new tag] ciflow/rocm/158224 -> ciflow/rocm/158224 2025-08-14T21:26:41.3349959Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-08-14T21:26:41.3350174Z * [new tag] ciflow/rocm/160215 -> ciflow/rocm/160215 2025-08-14T21:26:41.3350417Z * [new tag] ciflow/rocm/160468 -> ciflow/rocm/160468 2025-08-14T21:26:41.3350626Z * [new tag] ciflow/rocm/160538 -> ciflow/rocm/160538 2025-08-14T21:26:41.3350927Z * [new tag] ciflow/s390/143959 -> ciflow/s390/143959 2025-08-14T21:26:41.3351357Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-08-14T21:26:41.3351592Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-08-14T21:26:41.3352080Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-08-14T21:26:41.3353637Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-08-14T21:26:41.3353900Z * [new tag] ciflow/slow/154595 -> ciflow/slow/154595 2025-08-14T21:26:41.3353978Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-08-14T21:26:41.3354047Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-08-14T21:26:41.3354122Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-08-14T21:26:41.3354194Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-08-14T21:26:41.3354273Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-08-14T21:26:41.3354466Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-08-14T21:26:41.3354708Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-08-14T21:26:41.3355002Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-08-14T21:26:41.3355401Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-08-14T21:26:41.3355517Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-08-14T21:26:41.3355921Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-08-14T21:26:41.3356187Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-08-14T21:26:41.3356378Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-08-14T21:26:41.3356677Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-08-14T21:26:41.3357166Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-08-14T21:26:41.3357453Z * [new tag] ciflow/trunk/131296 -> ciflow/trunk/131296 2025-08-14T21:26:41.3357660Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-08-14T21:26:41.3357789Z * [new tag] ciflow/trunk/138996 -> ciflow/trunk/138996 2025-08-14T21:26:41.3358136Z * [new tag] ciflow/trunk/139971 -> ciflow/trunk/139971 2025-08-14T21:26:41.3358346Z * [new tag] ciflow/trunk/147360 -> ciflow/trunk/147360 2025-08-14T21:26:41.3360242Z * [new tag] ciflow/trunk/147855 -> ciflow/trunk/147855 2025-08-14T21:26:41.3360382Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-08-14T21:26:41.3360463Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-08-14T21:26:41.3360522Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-08-14T21:26:41.3360598Z * [new tag] ciflow/trunk/150282 -> ciflow/trunk/150282 2025-08-14T21:26:41.3360662Z * [new tag] ciflow/trunk/150302 -> ciflow/trunk/150302 2025-08-14T21:26:41.3360719Z * [new tag] ciflow/trunk/151845 -> ciflow/trunk/151845 2025-08-14T21:26:41.3360778Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-08-14T21:26:41.3360849Z * [new tag] ciflow/trunk/154193 -> ciflow/trunk/154193 2025-08-14T21:26:41.3360907Z * [new tag] ciflow/trunk/154595 -> ciflow/trunk/154595 2025-08-14T21:26:41.3360978Z * [new tag] ciflow/trunk/154650 -> ciflow/trunk/154650 2025-08-14T21:26:41.3361155Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-08-14T21:26:41.3361298Z * [new tag] ciflow/trunk/155958 -> ciflow/trunk/155958 2025-08-14T21:26:41.3361655Z * [new tag] ciflow/trunk/156049 -> ciflow/trunk/156049 2025-08-14T21:26:41.3361850Z * [new tag] ciflow/trunk/156703 -> ciflow/trunk/156703 2025-08-14T21:26:41.3362004Z * [new tag] ciflow/trunk/156851 -> ciflow/trunk/156851 2025-08-14T21:26:41.3362239Z * [new tag] ciflow/trunk/157148 -> ciflow/trunk/157148 2025-08-14T21:26:41.3362469Z * [new tag] ciflow/trunk/157152 -> ciflow/trunk/157152 2025-08-14T21:26:41.3362878Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-08-14T21:26:41.3363174Z * [new tag] ciflow/trunk/157685 -> ciflow/trunk/157685 2025-08-14T21:26:41.3363415Z * [new tag] ciflow/trunk/157689 -> ciflow/trunk/157689 2025-08-14T21:26:41.3363492Z * [new tag] ciflow/trunk/157699 -> ciflow/trunk/157699 2025-08-14T21:26:41.3365262Z * [new tag] ciflow/trunk/157813 -> ciflow/trunk/157813 2025-08-14T21:26:41.3365425Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-08-14T21:26:41.3365503Z * [new tag] ciflow/trunk/158091 -> ciflow/trunk/158091 2025-08-14T21:26:41.3365578Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-08-14T21:26:41.3365643Z * [new tag] ciflow/trunk/158219 -> ciflow/trunk/158219 2025-08-14T21:26:41.3365706Z * [new tag] ciflow/trunk/158220 -> ciflow/trunk/158220 2025-08-14T21:26:41.3365783Z * [new tag] ciflow/trunk/158224 -> ciflow/trunk/158224 2025-08-14T21:26:41.3365845Z * [new tag] ciflow/trunk/158529 -> ciflow/trunk/158529 2025-08-14T21:26:41.3365920Z * [new tag] ciflow/trunk/158647 -> ciflow/trunk/158647 2025-08-14T21:26:41.3365998Z * [new tag] ciflow/trunk/158810 -> ciflow/trunk/158810 2025-08-14T21:26:41.3366244Z * [new tag] ciflow/trunk/158812 -> ciflow/trunk/158812 2025-08-14T21:26:41.3366451Z * [new tag] ciflow/trunk/158863 -> ciflow/trunk/158863 2025-08-14T21:26:41.3366597Z * [new tag] ciflow/trunk/158864 -> ciflow/trunk/158864 2025-08-14T21:26:41.3366828Z * [new tag] ciflow/trunk/158883 -> ciflow/trunk/158883 2025-08-14T21:26:41.3367061Z * [new tag] ciflow/trunk/158914 -> ciflow/trunk/158914 2025-08-14T21:26:41.3367296Z * [new tag] ciflow/trunk/158965 -> ciflow/trunk/158965 2025-08-14T21:26:41.3367520Z * [new tag] ciflow/trunk/158987 -> ciflow/trunk/158987 2025-08-14T21:26:41.3367810Z * [new tag] ciflow/trunk/159033 -> ciflow/trunk/159033 2025-08-14T21:26:41.3368379Z * [new tag] ciflow/trunk/159140 -> ciflow/trunk/159140 2025-08-14T21:26:41.3368607Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-08-14T21:26:41.3368697Z * [new tag] ciflow/trunk/159553 -> ciflow/trunk/159553 2025-08-14T21:26:41.3368960Z * [new tag] ciflow/trunk/159562 -> ciflow/trunk/159562 2025-08-14T21:26:41.3369162Z * [new tag] ciflow/trunk/159682 -> ciflow/trunk/159682 2025-08-14T21:26:41.3370703Z * [new tag] ciflow/trunk/159691 -> ciflow/trunk/159691 2025-08-14T21:26:41.3370836Z * [new tag] ciflow/trunk/159842 -> ciflow/trunk/159842 2025-08-14T21:26:41.3370907Z * [new tag] ciflow/trunk/159889 -> ciflow/trunk/159889 2025-08-14T21:26:41.3370967Z * [new tag] ciflow/trunk/159923 -> ciflow/trunk/159923 2025-08-14T21:26:41.3371213Z * [new tag] ciflow/trunk/160004 -> ciflow/trunk/160004 2025-08-14T21:26:41.3371271Z * [new tag] ciflow/trunk/160113 -> ciflow/trunk/160113 2025-08-14T21:26:41.3371407Z * [new tag] ciflow/trunk/160161 -> ciflow/trunk/160161 2025-08-14T21:26:41.3371471Z * [new tag] ciflow/trunk/160168 -> ciflow/trunk/160168 2025-08-14T21:26:41.3371535Z * [new tag] ciflow/trunk/160181 -> ciflow/trunk/160181 2025-08-14T21:26:41.3371813Z * [new tag] ciflow/trunk/160183 -> ciflow/trunk/160183 2025-08-14T21:26:41.3371958Z * [new tag] ciflow/trunk/160190 -> ciflow/trunk/160190 2025-08-14T21:26:41.3372289Z * [new tag] ciflow/trunk/160198 -> ciflow/trunk/160198 2025-08-14T21:26:41.3372440Z * [new tag] ciflow/trunk/160205 -> ciflow/trunk/160205 2025-08-14T21:26:41.3372776Z * [new tag] ciflow/trunk/160219 -> ciflow/trunk/160219 2025-08-14T21:26:41.3373059Z * [new tag] ciflow/trunk/160224 -> ciflow/trunk/160224 2025-08-14T21:26:41.3373923Z * [new tag] ciflow/trunk/160250 -> ciflow/trunk/160250 2025-08-14T21:26:41.3374033Z * [new tag] ciflow/trunk/160253 -> ciflow/trunk/160253 2025-08-14T21:26:41.3374103Z * [new tag] ciflow/trunk/160335 -> ciflow/trunk/160335 2025-08-14T21:26:41.3374390Z * [new tag] ciflow/trunk/160338 -> ciflow/trunk/160338 2025-08-14T21:26:41.3374581Z * [new tag] ciflow/trunk/160383 -> ciflow/trunk/160383 2025-08-14T21:26:41.3374793Z * [new tag] ciflow/trunk/160401 -> ciflow/trunk/160401 2025-08-14T21:26:41.3375030Z * [new tag] ciflow/trunk/160403 -> ciflow/trunk/160403 2025-08-14T21:26:41.3375310Z * [new tag] ciflow/trunk/160430 -> ciflow/trunk/160430 2025-08-14T21:26:41.3376922Z * [new tag] ciflow/trunk/160431 -> ciflow/trunk/160431 2025-08-14T21:26:41.3377028Z * [new tag] ciflow/trunk/160439 -> ciflow/trunk/160439 2025-08-14T21:26:41.3377247Z * [new tag] ciflow/trunk/160449 -> ciflow/trunk/160449 2025-08-14T21:26:41.3377318Z * [new tag] ciflow/trunk/160454 -> ciflow/trunk/160454 2025-08-14T21:26:41.3377381Z * [new tag] ciflow/trunk/160468 -> ciflow/trunk/160468 2025-08-14T21:26:41.3377452Z * [new tag] ciflow/trunk/160481 -> ciflow/trunk/160481 2025-08-14T21:26:41.3377516Z * [new tag] ciflow/trunk/160485 -> ciflow/trunk/160485 2025-08-14T21:26:41.3377584Z * [new tag] ciflow/trunk/160519 -> ciflow/trunk/160519 2025-08-14T21:26:41.3377830Z * [new tag] ciflow/trunk/160527 -> ciflow/trunk/160527 2025-08-14T21:26:41.3378140Z * [new tag] ciflow/trunk/160560 -> ciflow/trunk/160560 2025-08-14T21:26:41.3378385Z * [new tag] ciflow/trunk/160578 -> ciflow/trunk/160578 2025-08-14T21:26:41.3378647Z * [new tag] ciflow/trunk/160589 -> ciflow/trunk/160589 2025-08-14T21:26:41.3378900Z * [new tag] ciflow/trunk/160592 -> ciflow/trunk/160592 2025-08-14T21:26:41.3379042Z * [new tag] ciflow/trunk/160649 -> ciflow/trunk/160649 2025-08-14T21:26:41.3379295Z * [new tag] ciflow/trunk/160656 -> ciflow/trunk/160656 2025-08-14T21:26:41.3379894Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-08-14T21:26:41.3380149Z * [new tag] ciflow/vllm/160116 -> ciflow/vllm/160116 2025-08-14T21:26:41.3380242Z * [new tag] ciflow/vllm/160583 -> ciflow/vllm/160583 2025-08-14T21:26:41.3380517Z * [new tag] ciflow/vllm/160619 -> ciflow/vllm/160619 2025-08-14T21:26:41.3380849Z * [new tag] ciflow/vllm/160625 -> ciflow/vllm/160625 2025-08-14T21:26:41.3380985Z * [new tag] ciflow/vllm/160627 -> ciflow/vllm/160627 2025-08-14T21:26:41.3381484Z * [new tag] ciflow/win-arm64/156049 -> ciflow/win-arm64/156049 2025-08-14T21:26:41.3383065Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-08-14T21:26:41.3383202Z * [new tag] ciflow/win-arm64/159553 -> ciflow/win-arm64/159553 2025-08-14T21:26:41.3383652Z * [new tag] ciflow/win-arm64/159562 -> ciflow/win-arm64/159562 2025-08-14T21:26:41.3383730Z * [new tag] ciflow/win-arm64/159777 -> ciflow/win-arm64/159777 2025-08-14T21:26:41.3383793Z * [new tag] ciflow/win-arm64/159780 -> ciflow/win-arm64/159780 2025-08-14T21:26:41.3383864Z * [new tag] ciflow/win-arm64/159842 -> ciflow/win-arm64/159842 2025-08-14T21:26:41.3383928Z * [new tag] ciflow/win-arm64/160250 -> ciflow/win-arm64/160250 2025-08-14T21:26:41.3383989Z * [new tag] ciflow/win-arm64/160253 -> ciflow/win-arm64/160253 2025-08-14T21:26:41.3384066Z * [new tag] ciflow/win-arm64/160454 -> ciflow/win-arm64/160454 2025-08-14T21:26:41.3384139Z * [new tag] ciflow/win-arm64/160560 -> ciflow/win-arm64/160560 2025-08-14T21:26:41.3384211Z * [new tag] ciflow/xpu/138996 -> ciflow/xpu/138996 2025-08-14T21:26:41.3384429Z * [new tag] ciflow/xpu/139971 -> ciflow/xpu/139971 2025-08-14T21:26:41.3384718Z * [new tag] ciflow/xpu/140972 -> ciflow/xpu/140972 2025-08-14T21:26:41.3385059Z * [new tag] ciflow/xpu/143553 -> ciflow/xpu/143553 2025-08-14T21:26:41.3385309Z * [new tag] ciflow/xpu/156272 -> ciflow/xpu/156272 2025-08-14T21:26:41.3385556Z * [new tag] ciflow/xpu/156812 -> ciflow/xpu/156812 2025-08-14T21:26:41.3385781Z * [new tag] ciflow/xpu/157699 -> ciflow/xpu/157699 2025-08-14T21:26:41.3385924Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-08-14T21:26:41.3386164Z * [new tag] ciflow/xpu/158336 -> ciflow/xpu/158336 2025-08-14T21:26:41.3386379Z * [new tag] ciflow/xpu/158733 -> ciflow/xpu/158733 2025-08-14T21:26:41.3386697Z * [new tag] ciflow/xpu/159033 -> ciflow/xpu/159033 2025-08-14T21:26:41.3386929Z * [new tag] ciflow/xpu/159118 -> ciflow/xpu/159118 2025-08-14T21:26:41.3387059Z * [new tag] ciflow/xpu/159140 -> ciflow/xpu/159140 2025-08-14T21:26:41.3388632Z * [new tag] ciflow/xpu/159241 -> ciflow/xpu/159241 2025-08-14T21:26:41.3388923Z * [new tag] ciflow/xpu/159473 -> ciflow/xpu/159473 2025-08-14T21:26:41.3388987Z * [new tag] ciflow/xpu/159474 -> ciflow/xpu/159474 2025-08-14T21:26:41.3389047Z * [new tag] ciflow/xpu/159553 -> ciflow/xpu/159553 2025-08-14T21:26:41.3389120Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-08-14T21:26:41.3389179Z * [new tag] ciflow/xpu/160062 -> ciflow/xpu/160062 2025-08-14T21:26:41.3389238Z * [new tag] ciflow/xpu/160067 -> ciflow/xpu/160067 2025-08-14T21:26:41.3389308Z * [new tag] ciflow/xpu/160158 -> ciflow/xpu/160158 2025-08-14T21:26:41.3389547Z * [new tag] ciflow/xpu/160173 -> ciflow/xpu/160173 2025-08-14T21:26:41.3389666Z * [new tag] ciflow/xpu/160183 -> ciflow/xpu/160183 2025-08-14T21:26:41.3389894Z * [new tag] ciflow/xpu/160301 -> ciflow/xpu/160301 2025-08-14T21:26:41.3390140Z * [new tag] ciflow/xpu/160403 -> ciflow/xpu/160403 2025-08-14T21:26:41.3390513Z * [new tag] ciflow/xpu/160606 -> ciflow/xpu/160606 2025-08-14T21:26:41.3390756Z * [new tag] cslpull75 -> cslpull75 2025-08-14T21:26:41.3391225Z * [new tag] cslpull76 -> cslpull76 2025-08-14T21:26:41.3391416Z * [new tag] cslpull77 -> cslpull77 2025-08-14T21:26:41.3391571Z * [new tag] cslpull78 -> cslpull78 2025-08-14T21:26:41.3391807Z * [new tag] cslpull79 -> cslpull79 2025-08-14T21:26:41.3392099Z * [new tag] cslpull80 -> cslpull80 2025-08-14T21:26:41.3392381Z * [new tag] cslpull81 -> cslpull81 2025-08-14T21:26:41.3392640Z * [new tag] cslpull82 -> cslpull82 2025-08-14T21:26:41.3392973Z * [new tag] cslpull83 -> cslpull83 2025-08-14T21:26:41.3394428Z * [new tag] cslpull84 -> cslpull84 2025-08-14T21:26:41.3394686Z * [new tag] cslpull85 -> cslpull85 2025-08-14T21:26:41.3394748Z * [new tag] cslpull86 -> cslpull86 2025-08-14T21:26:41.3394811Z * [new tag] cslpull87 -> cslpull87 2025-08-14T21:26:41.3394872Z * [new tag] cslpull88 -> cslpull88 2025-08-14T21:26:41.3394923Z * [new tag] cslpull89 -> cslpull89 2025-08-14T21:26:41.3394981Z * [new tag] cslpull90 -> cslpull90 2025-08-14T21:26:41.3395353Z * [new tag] cslpull91 -> cslpull91 2025-08-14T21:26:41.3395679Z * [new tag] cslpull92 -> cslpull92 2025-08-14T21:26:41.3395892Z * [new tag] flight_5 -> flight_5 2025-08-14T21:26:41.3396185Z * [new tag] flight_5.1 -> flight_5.1 2025-08-14T21:26:41.3396565Z * [new tag] flight_5.2 -> flight_5.2 2025-08-14T21:26:41.3396799Z * [new tag] flight_5.3 -> flight_5.3 2025-08-14T21:26:41.3397004Z * [new tag] forpull1 -> forpull1 2025-08-14T21:26:41.3397407Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-08-14T21:26:41.3397672Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-08-14T21:26:41.3398393Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-08-14T21:26:41.3398638Z * [new tag] nightly-binary -> nightly-binary 2025-08-14T21:26:41.3398724Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-08-14T21:26:41.3399116Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-08-14T21:26:41.3399538Z * [new tag] trunk/01584d2a7d029c9749eb73678cf1dc313cc35df6 -> trunk/01584d2a7d029c9749eb73678cf1dc313cc35df6 2025-08-14T21:26:41.3399797Z * [new tag] trunk/017259f9c65b6fad55fb9597d7077e2543eaae46 -> trunk/017259f9c65b6fad55fb9597d7077e2543eaae46 2025-08-14T21:26:41.3400073Z * [new tag] trunk/01bcf9a40dea937637d2cdd530bed2652510943d -> trunk/01bcf9a40dea937637d2cdd530bed2652510943d 2025-08-14T21:26:41.3401633Z * [new tag] trunk/01f66d08d93365015f4af005a252f439c4d4013a -> trunk/01f66d08d93365015f4af005a252f439c4d4013a 2025-08-14T21:26:41.3401944Z * [new tag] trunk/03b254e49f2d4c092e6ca712e5702cf2895aa47e -> trunk/03b254e49f2d4c092e6ca712e5702cf2895aa47e 2025-08-14T21:26:41.3402089Z * [new tag] trunk/05029ad1c30865d3f7e7fd13384db9d826e563eb -> trunk/05029ad1c30865d3f7e7fd13384db9d826e563eb 2025-08-14T21:26:41.3402316Z * [new tag] trunk/05c19d1acecc01b0d2512364183058a6885b9869 -> trunk/05c19d1acecc01b0d2512364183058a6885b9869 2025-08-14T21:26:41.3402452Z * [new tag] trunk/05c417715f791875fbf28cfc3fc86142de1a3206 -> trunk/05c417715f791875fbf28cfc3fc86142de1a3206 2025-08-14T21:26:41.3402642Z * [new tag] trunk/06824f3c7268bb807a422b663047cd0900ddd126 -> trunk/06824f3c7268bb807a422b663047cd0900ddd126 2025-08-14T21:26:41.3402840Z * [new tag] trunk/077cb389746a7d61cfc018aad2ba29a8aa195610 -> trunk/077cb389746a7d61cfc018aad2ba29a8aa195610 2025-08-14T21:26:41.3402978Z * [new tag] trunk/089c4a1ba007ed4abb3e5e0eafd97b7584566057 -> trunk/089c4a1ba007ed4abb3e5e0eafd97b7584566057 2025-08-14T21:26:41.3403122Z * [new tag] trunk/09381f5dacda7bbbfa361f5df76bde5cd309adc1 -> trunk/09381f5dacda7bbbfa361f5df76bde5cd309adc1 2025-08-14T21:26:41.3403266Z * [new tag] trunk/0bd3af4fb87445f4de3a1f9b823e399c8b3cefde -> trunk/0bd3af4fb87445f4de3a1f9b823e399c8b3cefde 2025-08-14T21:26:41.3403621Z * [new tag] trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4 -> trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4 2025-08-14T21:26:41.3403768Z * [new tag] trunk/0d40ff3b496e68193bc16d5391fa2e3623709f81 -> trunk/0d40ff3b496e68193bc16d5391fa2e3623709f81 2025-08-14T21:26:41.3404057Z * [new tag] trunk/0d71ca2c46753bb268bfdcf815c14415c122a289 -> trunk/0d71ca2c46753bb268bfdcf815c14415c122a289 2025-08-14T21:26:41.3404353Z * [new tag] trunk/0d88593dd826544c9e7bd4aa615ef86847a78d2b -> trunk/0d88593dd826544c9e7bd4aa615ef86847a78d2b 2025-08-14T21:26:41.3404640Z * [new tag] trunk/0e3e377bd5126cfcc69d70c4d77b352d3404cc11 -> trunk/0e3e377bd5126cfcc69d70c4d77b352d3404cc11 2025-08-14T21:26:41.3404902Z * [new tag] trunk/0f3b10b8eebe68e3c75d473d499b87dfe14a2eca -> trunk/0f3b10b8eebe68e3c75d473d499b87dfe14a2eca 2025-08-14T21:26:41.3405151Z * [new tag] trunk/101276f81b4d2a8c31bfd6796b986d4c1bfdf483 -> trunk/101276f81b4d2a8c31bfd6796b986d4c1bfdf483 2025-08-14T21:26:41.3405417Z * [new tag] trunk/1028c5e2d50e121865bf98307e7c035f549a24b2 -> trunk/1028c5e2d50e121865bf98307e7c035f549a24b2 2025-08-14T21:26:41.3405711Z * [new tag] trunk/10bc36fe840cb3510fab84d2ea22663b76702f1e -> trunk/10bc36fe840cb3510fab84d2ea22663b76702f1e 2025-08-14T21:26:41.3405977Z * [new tag] trunk/10e3514c962b58cbbee994257872a626ff76d51b -> trunk/10e3514c962b58cbbee994257872a626ff76d51b 2025-08-14T21:26:41.3406368Z * [new tag] trunk/1128f4c2a822cbe34a9d966306af15097179ffe1 -> trunk/1128f4c2a822cbe34a9d966306af15097179ffe1 2025-08-14T21:26:41.3406663Z * [new tag] trunk/114a6c40434bfb9cfa5abc30e9e34d81300d743e -> trunk/114a6c40434bfb9cfa5abc30e9e34d81300d743e 2025-08-14T21:26:41.3408218Z * [new tag] trunk/118bc97b14c24ac88a4b0c0750a9e7bf93154c76 -> trunk/118bc97b14c24ac88a4b0c0750a9e7bf93154c76 2025-08-14T21:26:41.3408446Z * [new tag] trunk/1196bb1c2e4d5a7edc09f2260e3034132f0c6c91 -> trunk/1196bb1c2e4d5a7edc09f2260e3034132f0c6c91 2025-08-14T21:26:41.3408597Z * [new tag] trunk/11a3565f1872bbad9c253a127e8d4ce7a1b40ec8 -> trunk/11a3565f1872bbad9c253a127e8d4ce7a1b40ec8 2025-08-14T21:26:41.3408736Z * [new tag] trunk/15e49f61643e4c0eef420f0981609709ef55b848 -> trunk/15e49f61643e4c0eef420f0981609709ef55b848 2025-08-14T21:26:41.3408870Z * [new tag] trunk/16d15445f8bd8740095b23de4af89d757af793ca -> trunk/16d15445f8bd8740095b23de4af89d757af793ca 2025-08-14T21:26:41.3409009Z * [new tag] trunk/178515d0ff6833c8e9221482b2a650ab31e00019 -> trunk/178515d0ff6833c8e9221482b2a650ab31e00019 2025-08-14T21:26:41.3409145Z * [new tag] trunk/182efe31dbe43376e7eef7338356aaf94d5bcabe -> trunk/182efe31dbe43376e7eef7338356aaf94d5bcabe 2025-08-14T21:26:41.3409294Z * [new tag] trunk/194fcfcfbdad0add1a1b695321e31a576058f4cf -> trunk/194fcfcfbdad0add1a1b695321e31a576058f4cf 2025-08-14T21:26:41.3409543Z * [new tag] trunk/195b5c2e27eb8f21cbc8ad1e90f42db5a8cfccca -> trunk/195b5c2e27eb8f21cbc8ad1e90f42db5a8cfccca 2025-08-14T21:26:41.3409773Z * [new tag] trunk/198b5fd2d47fa3d5110ceba6827a3b18e0064014 -> trunk/198b5fd2d47fa3d5110ceba6827a3b18e0064014 2025-08-14T21:26:41.3409917Z * [new tag] trunk/199e9abb6a366bbd27c39d1da7c3123b4eea9b5a -> trunk/199e9abb6a366bbd27c39d1da7c3123b4eea9b5a 2025-08-14T21:26:41.3410095Z * [new tag] trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7 -> trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7 2025-08-14T21:26:41.3410525Z * [new tag] trunk/1c2587119152cec3905647a47c65d3d26619c5a8 -> trunk/1c2587119152cec3905647a47c65d3d26619c5a8 2025-08-14T21:26:41.3410763Z * [new tag] trunk/1c26c53851c212a7c90a325549a72f0571613a8c -> trunk/1c26c53851c212a7c90a325549a72f0571613a8c 2025-08-14T21:26:41.3411058Z * [new tag] trunk/1c2cba17eab2b09d87142883da2bdbdbcf018613 -> trunk/1c2cba17eab2b09d87142883da2bdbdbcf018613 2025-08-14T21:26:41.3411482Z * [new tag] trunk/1d80d697a269234b47ec7ede192faf3bb9b159e3 -> trunk/1d80d697a269234b47ec7ede192faf3bb9b159e3 2025-08-14T21:26:41.3413074Z * [new tag] trunk/1ea688f9a2602fbcde32c0302b822526ca4219dc -> trunk/1ea688f9a2602fbcde32c0302b822526ca4219dc 2025-08-14T21:26:41.3413218Z * [new tag] trunk/1f4057c11ac941fb324386ca594d0a6882185aad -> trunk/1f4057c11ac941fb324386ca594d0a6882185aad 2025-08-14T21:26:41.3413349Z * [new tag] trunk/1fc683cf17c8c673044538d10266c00f92987be2 -> trunk/1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:26:41.3413482Z * [new tag] trunk/1febab2a89302464f6c7d69cfbef7a24c421ea65 -> trunk/1febab2a89302464f6c7d69cfbef7a24c421ea65 2025-08-14T21:26:41.3413617Z * [new tag] trunk/206c1eef6571f906c2792d899a09136b3fce9673 -> trunk/206c1eef6571f906c2792d899a09136b3fce9673 2025-08-14T21:26:41.3414305Z * [new tag] trunk/20bdabbb3c5d6b118a94b2e045c777662563d5bb -> trunk/20bdabbb3c5d6b118a94b2e045c777662563d5bb 2025-08-14T21:26:41.3415819Z * [new tag] trunk/21392c0e06ac2b2621950455975ca6332f0bf641 -> trunk/21392c0e06ac2b2621950455975ca6332f0bf641 2025-08-14T21:26:41.3415969Z * [new tag] trunk/2247aa6d1d43e256255f5c74a781c3190a4387b6 -> trunk/2247aa6d1d43e256255f5c74a781c3190a4387b6 2025-08-14T21:26:41.3416104Z * [new tag] trunk/2259dbed4e0d3f2a8174b5847fd0741aed42451d -> trunk/2259dbed4e0d3f2a8174b5847fd0741aed42451d 2025-08-14T21:26:41.3416239Z * [new tag] trunk/231c72240d80091f099c95e326d3600cba866eee -> trunk/231c72240d80091f099c95e326d3600cba866eee 2025-08-14T21:26:41.3416371Z * [new tag] trunk/24257f5bfaa37795f74d9f64c1b43584128d4b8c -> trunk/24257f5bfaa37795f74d9f64c1b43584128d4b8c 2025-08-14T21:26:41.3416504Z * [new tag] trunk/24f43d0da7ad9c6e95a09a2fee610387728cc1cd -> trunk/24f43d0da7ad9c6e95a09a2fee610387728cc1cd 2025-08-14T21:26:41.3416638Z * [new tag] trunk/2898d3f965e5cd9d02fc2ecdab7c580fd457fea9 -> trunk/2898d3f965e5cd9d02fc2ecdab7c580fd457fea9 2025-08-14T21:26:41.3416766Z * [new tag] trunk/28ccc9e7247798980fe00a11bcd64a8016b5f227 -> trunk/28ccc9e7247798980fe00a11bcd64a8016b5f227 2025-08-14T21:26:41.3416895Z * [new tag] trunk/29712314dd5cf500a8ea3d1c69483a3cb768ca72 -> trunk/29712314dd5cf500a8ea3d1c69483a3cb768ca72 2025-08-14T21:26:41.3417036Z * [new tag] trunk/29d20d49f0b7f4e362e1cefdcdc4b5659969312c -> trunk/29d20d49f0b7f4e362e1cefdcdc4b5659969312c 2025-08-14T21:26:41.3417175Z * [new tag] trunk/2c5e10a5fceb208b11c3d569ae02e348b5893b31 -> trunk/2c5e10a5fceb208b11c3d569ae02e348b5893b31 2025-08-14T21:26:41.3417342Z * [new tag] trunk/2d0cdee394bccadcd0abe19dd4623ed978a331ad -> trunk/2d0cdee394bccadcd0abe19dd4623ed978a331ad 2025-08-14T21:26:41.3417574Z * [new tag] trunk/2e4e5ab4be9e0aeffd9c49b5b2f9f820bd0895b1 -> trunk/2e4e5ab4be9e0aeffd9c49b5b2f9f820bd0895b1 2025-08-14T21:26:41.3417971Z * [new tag] trunk/2ea40fba841b3af8103f332ba62e54f350ba9a51 -> trunk/2ea40fba841b3af8103f332ba62e54f350ba9a51 2025-08-14T21:26:41.3418173Z * [new tag] trunk/2ee22e435131369a7e4f8cc4732579acc29a941b -> trunk/2ee22e435131369a7e4f8cc4732579acc29a941b 2025-08-14T21:26:41.3418312Z * [new tag] trunk/2f4c2226175512af787725c4d5ad7313c60d4db1 -> trunk/2f4c2226175512af787725c4d5ad7313c60d4db1 2025-08-14T21:26:41.3418613Z * [new tag] trunk/3008d985a8fc155eb89374afff50cb33a6bd10d5 -> trunk/3008d985a8fc155eb89374afff50cb33a6bd10d5 2025-08-14T21:26:41.3418765Z * [new tag] trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2 -> trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2 2025-08-14T21:26:41.3419118Z * [new tag] trunk/303c614f3df95ae2b659c5f6c1838b14e4776ce6 -> trunk/303c614f3df95ae2b659c5f6c1838b14e4776ce6 2025-08-14T21:26:41.3419531Z * [new tag] trunk/305fa2239365ad17ac9c534a68bba8a149c42d67 -> trunk/305fa2239365ad17ac9c534a68bba8a149c42d67 2025-08-14T21:26:41.3419902Z * [new tag] trunk/31c9ac4319c0cc2ed8c6be701c6ccf73f6cb4706 -> trunk/31c9ac4319c0cc2ed8c6be701c6ccf73f6cb4706 2025-08-14T21:26:41.3420154Z * [new tag] trunk/32099961d588fc19ead8afe805d6b5108de75669 -> trunk/32099961d588fc19ead8afe805d6b5108de75669 2025-08-14T21:26:41.3422010Z * [new tag] trunk/32e5e2f596d55bb9441d5d53f3c58bcb55828047 -> trunk/32e5e2f596d55bb9441d5d53f3c58bcb55828047 2025-08-14T21:26:41.3422166Z * [new tag] trunk/334b38ccc4427b1d14981c48a3a0b92180d58225 -> trunk/334b38ccc4427b1d14981c48a3a0b92180d58225 2025-08-14T21:26:41.3422310Z * [new tag] trunk/334ecbd4ffe11858cae7d23d1190ddb4777c2513 -> trunk/334ecbd4ffe11858cae7d23d1190ddb4777c2513 2025-08-14T21:26:41.3422449Z * [new tag] trunk/33d94018668951611b318b7515ae96f04e48eac0 -> trunk/33d94018668951611b318b7515ae96f04e48eac0 2025-08-14T21:26:41.3422580Z * [new tag] trunk/34358f335d95213d96b6cca6a83e7bf3af6a9fcb -> trunk/34358f335d95213d96b6cca6a83e7bf3af6a9fcb 2025-08-14T21:26:41.3422796Z * [new tag] trunk/34ec5ed275f8aa875c80daa97b3e82af0b06f673 -> trunk/34ec5ed275f8aa875c80daa97b3e82af0b06f673 2025-08-14T21:26:41.3422922Z * [new tag] trunk/355462e1278d818deb9ef4a184073d5b66074816 -> trunk/355462e1278d818deb9ef4a184073d5b66074816 2025-08-14T21:26:41.3424835Z * [new tag] trunk/3626ba711b34397d1fbf0a9b1979f85cbf68b919 -> trunk/3626ba711b34397d1fbf0a9b1979f85cbf68b919 2025-08-14T21:26:41.3424969Z * [new tag] trunk/36f46d082a4954921cb8493223f000f2aab79ed7 -> trunk/36f46d082a4954921cb8493223f000f2aab79ed7 2025-08-14T21:26:41.3425277Z * [new tag] trunk/39aa3d1471549b7829c207d634dfdc1d26e346a2 -> trunk/39aa3d1471549b7829c207d634dfdc1d26e346a2 2025-08-14T21:26:41.3425878Z * [new tag] trunk/3a562374401113187ce2566b87e3f1d87d7c53aa -> trunk/3a562374401113187ce2566b87e3f1d87d7c53aa 2025-08-14T21:26:41.3426022Z * [new tag] trunk/3ac86e728dfaa7383ff7f865e9e7d33486188dae -> trunk/3ac86e728dfaa7383ff7f865e9e7d33486188dae 2025-08-14T21:26:41.3426167Z * [new tag] trunk/3be70dc30e893b552fc0f23ca06cd8f7949b6d08 -> trunk/3be70dc30e893b552fc0f23ca06cd8f7949b6d08 2025-08-14T21:26:41.3426325Z * [new tag] trunk/3cec82a7e9aea040a34dd7a2587ae6d3bd65dba0 -> trunk/3cec82a7e9aea040a34dd7a2587ae6d3bd65dba0 2025-08-14T21:26:41.3427067Z * [new tag] trunk/3cf7b4024ef83e44e9ae223dbff7c7ab68240cb2 -> trunk/3cf7b4024ef83e44e9ae223dbff7c7ab68240cb2 2025-08-14T21:26:41.3427212Z * [new tag] trunk/3ef2e1ef769582a82c6ddf150e9d11bf4bf1c44f -> trunk/3ef2e1ef769582a82c6ddf150e9d11bf4bf1c44f 2025-08-14T21:26:41.3427517Z * [new tag] trunk/3f1636ebef9b45e8a3cb0eb20d327ee6acb74be0 -> trunk/3f1636ebef9b45e8a3cb0eb20d327ee6acb74be0 2025-08-14T21:26:41.3427863Z * [new tag] trunk/3faee0a6318afcbbbb48687009a459214910d820 -> trunk/3faee0a6318afcbbbb48687009a459214910d820 2025-08-14T21:26:41.3428246Z * [new tag] trunk/3fcd79e023da7156ac584992ebab29205d3b7881 -> trunk/3fcd79e023da7156ac584992ebab29205d3b7881 2025-08-14T21:26:41.3428407Z * [new tag] trunk/3fe19a7a0af3f4d692af30476c320be18c7e8ae6 -> trunk/3fe19a7a0af3f4d692af30476c320be18c7e8ae6 2025-08-14T21:26:41.3428828Z * [new tag] trunk/41673110cd7c5960824cc74a6fcaeda1a8bc7a23 -> trunk/41673110cd7c5960824cc74a6fcaeda1a8bc7a23 2025-08-14T21:26:41.3429047Z * [new tag] trunk/4183d4ff3dcc1d87400326a9a7998c3f9e966f60 -> trunk/4183d4ff3dcc1d87400326a9a7998c3f9e966f60 2025-08-14T21:26:41.3429355Z * [new tag] trunk/422bd6808bb98cbbac31d157d9c82ad11ba9732d -> trunk/422bd6808bb98cbbac31d157d9c82ad11ba9732d 2025-08-14T21:26:41.3431048Z * [new tag] trunk/42e51cd4b3973a053fcfa80878a3f346fd158e9f -> trunk/42e51cd4b3973a053fcfa80878a3f346fd158e9f 2025-08-14T21:26:41.3431280Z * [new tag] trunk/4416433c7c625127b7f975c92f8ec98ea4c67fd3 -> trunk/4416433c7c625127b7f975c92f8ec98ea4c67fd3 2025-08-14T21:26:41.3431429Z * [new tag] trunk/45ba7ecda876685b083cbbe932450560c566826b -> trunk/45ba7ecda876685b083cbbe932450560c566826b 2025-08-14T21:26:41.3431562Z * [new tag] trunk/47a1db823dfcdacdb99f317428fc3791a18c5812 -> trunk/47a1db823dfcdacdb99f317428fc3791a18c5812 2025-08-14T21:26:41.3431691Z * [new tag] trunk/4a773e1e867f28a8ff0b15203e5cd9548f74fcee -> trunk/4a773e1e867f28a8ff0b15203e5cd9548f74fcee 2025-08-14T21:26:41.3431819Z * [new tag] trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3 -> trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3 2025-08-14T21:26:41.3431960Z * [new tag] trunk/4cde0acc0e4e795e1a12cbdd9b93c8c04c1fa05d -> trunk/4cde0acc0e4e795e1a12cbdd9b93c8c04c1fa05d 2025-08-14T21:26:41.3432096Z * [new tag] trunk/4d419a74610c32b1372f8802dcc61893740a23cf -> trunk/4d419a74610c32b1372f8802dcc61893740a23cf 2025-08-14T21:26:41.3432292Z * [new tag] trunk/4d5b3f2d5af7c8e4f41da4ffca53fafe8bb86235 -> trunk/4d5b3f2d5af7c8e4f41da4ffca53fafe8bb86235 2025-08-14T21:26:41.3432787Z * [new tag] trunk/4e2ddb5db67617f9f5309c8bba0c17adc84cadbc -> trunk/4e2ddb5db67617f9f5309c8bba0c17adc84cadbc 2025-08-14T21:26:41.3433125Z * [new tag] trunk/50a8c118754a6c5a46968f5c8e215ccba6831d42 -> trunk/50a8c118754a6c5a46968f5c8e215ccba6831d42 2025-08-14T21:26:41.3433421Z * [new tag] trunk/50f23ff6f883db5021dd6bab4c146434f98dd15d -> trunk/50f23ff6f883db5021dd6bab4c146434f98dd15d 2025-08-14T21:26:41.3433725Z * [new tag] trunk/515cb70367e84fcbad23fcc5b39eb1d7706df2aa -> trunk/515cb70367e84fcbad23fcc5b39eb1d7706df2aa 2025-08-14T21:26:41.3434069Z * [new tag] trunk/53e39494958b7e2278cc8176f63636e812e8945f -> trunk/53e39494958b7e2278cc8176f63636e812e8945f 2025-08-14T21:26:41.3434318Z * [new tag] trunk/556e2a73f4f0643f7c2aeb5c7dddda43388a40ce -> trunk/556e2a73f4f0643f7c2aeb5c7dddda43388a40ce 2025-08-14T21:26:41.3434629Z * [new tag] trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919 -> trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919 2025-08-14T21:26:41.3434923Z * [new tag] trunk/566c6d52ef1411c8262d7b9cf85e2044fdfbe1a3 -> trunk/566c6d52ef1411c8262d7b9cf85e2044fdfbe1a3 2025-08-14T21:26:41.3435472Z * [new tag] trunk/56c828bef93eada0e18d2cc013207831ca80cc99 -> trunk/56c828bef93eada0e18d2cc013207831ca80cc99 2025-08-14T21:26:41.3435609Z * [new tag] trunk/5737372862253a0ac0292407a5844796f02380ad -> trunk/5737372862253a0ac0292407a5844796f02380ad 2025-08-14T21:26:41.3435992Z * [new tag] trunk/57f738b6357cc8fcdde479a0948e723809a1a44d -> trunk/57f738b6357cc8fcdde479a0948e723809a1a44d 2025-08-14T21:26:41.3436222Z * [new tag] trunk/5a40c5784482255b9baf14086cc4b9349fc6d512 -> trunk/5a40c5784482255b9baf14086cc4b9349fc6d512 2025-08-14T21:26:41.3436651Z * [new tag] trunk/5a9c4cfce42b9eb87da0de40c5633f083115c307 -> trunk/5a9c4cfce42b9eb87da0de40c5633f083115c307 2025-08-14T21:26:41.3438289Z * [new tag] trunk/5ace061254af71aa83d1baae81aa1864c9746add -> trunk/5ace061254af71aa83d1baae81aa1864c9746add 2025-08-14T21:26:41.3438665Z * [new tag] trunk/5dddcd5b07c6644efca8d613f4eca1dc95daa87f -> trunk/5dddcd5b07c6644efca8d613f4eca1dc95daa87f 2025-08-14T21:26:41.3438816Z * [new tag] trunk/5ed4f9177907fe403ec4c4499d0d0e9be6b68fcf -> trunk/5ed4f9177907fe403ec4c4499d0d0e9be6b68fcf 2025-08-14T21:26:41.3438959Z * [new tag] trunk/5f1010fbb3850d99c8fdf9a9de2f79260cdc586a -> trunk/5f1010fbb3850d99c8fdf9a9de2f79260cdc586a 2025-08-14T21:26:41.3439097Z * [new tag] trunk/5f5f508aa836a46dfe88857fb223049616b94e93 -> trunk/5f5f508aa836a46dfe88857fb223049616b94e93 2025-08-14T21:26:41.3439241Z * [new tag] trunk/62bac0798100e0e06a86b7a4cee1788413e3d0ca -> trunk/62bac0798100e0e06a86b7a4cee1788413e3d0ca 2025-08-14T21:26:41.3439396Z * [new tag] trunk/63654ba4c5178fd12220cfc9d1c878af2fdd07cc -> trunk/63654ba4c5178fd12220cfc9d1c878af2fdd07cc 2025-08-14T21:26:41.3439530Z * [new tag] trunk/639778b3ee3b80e0894367fdc4442b58ae1b3a62 -> trunk/639778b3ee3b80e0894367fdc4442b58ae1b3a62 2025-08-14T21:26:41.3439663Z * [new tag] trunk/641ee7478150f26969968f49d8b358e199679a8a -> trunk/641ee7478150f26969968f49d8b358e199679a8a 2025-08-14T21:26:41.3439969Z * [new tag] trunk/65053c03a3d209060cb239d20a229dac37cf9dd1 -> trunk/65053c03a3d209060cb239d20a229dac37cf9dd1 2025-08-14T21:26:41.3440195Z * [new tag] trunk/652a6f5954d039d61dc6e6575ccf89d385d74537 -> trunk/652a6f5954d039d61dc6e6575ccf89d385d74537 2025-08-14T21:26:41.3440466Z * [new tag] trunk/685f15dbea66e8ffa8564752f81ad2f6cb447a14 -> trunk/685f15dbea66e8ffa8564752f81ad2f6cb447a14 2025-08-14T21:26:41.3440729Z * [new tag] trunk/68a4b4b2e336cfd4451ce6546d900568e5ddf96c -> trunk/68a4b4b2e336cfd4451ce6546d900568e5ddf96c 2025-08-14T21:26:41.3441121Z * [new tag] trunk/69a0a9aa7f5e320a02e97fa789d2f72baff1554f -> trunk/69a0a9aa7f5e320a02e97fa789d2f72baff1554f 2025-08-14T21:26:41.3441400Z * [new tag] trunk/6be6d06295c870c77a6eb69f96b3170d983520d5 -> trunk/6be6d06295c870c77a6eb69f96b3170d983520d5 2025-08-14T21:26:41.3441790Z * [new tag] trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49 -> trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49 2025-08-14T21:26:41.3442085Z * [new tag] trunk/6da11d9aafc0d84dc7f66030c181608ff2614f66 -> trunk/6da11d9aafc0d84dc7f66030c181608ff2614f66 2025-08-14T21:26:41.3442459Z * [new tag] trunk/6e8865fbc161270e2ffc52817e6c667df417a3f7 -> trunk/6e8865fbc161270e2ffc52817e6c667df417a3f7 2025-08-14T21:26:41.3442840Z * [new tag] trunk/6ea8376f84232048d6be0f7b2edf82aec1b61d58 -> trunk/6ea8376f84232048d6be0f7b2edf82aec1b61d58 2025-08-14T21:26:41.3443230Z * [new tag] trunk/6ee175195ac7853734d64704171993cc6265eb38 -> trunk/6ee175195ac7853734d64704171993cc6265eb38 2025-08-14T21:26:41.3443508Z * [new tag] trunk/6f0f4e0c3eacd479864319127915f869f64e1935 -> trunk/6f0f4e0c3eacd479864319127915f869f64e1935 2025-08-14T21:26:41.3443770Z * [new tag] trunk/70ccdec44b89e355a2cb03ba14a634284f7750f8 -> trunk/70ccdec44b89e355a2cb03ba14a634284f7750f8 2025-08-14T21:26:41.3444148Z * [new tag] trunk/72009ec6bebca7714f99c18449183787f202af4d -> trunk/72009ec6bebca7714f99c18449183787f202af4d 2025-08-14T21:26:41.3445745Z * [new tag] trunk/731ee31f7b6ba19307daab323f6196172b71aaf8 -> trunk/731ee31f7b6ba19307daab323f6196172b71aaf8 2025-08-14T21:26:41.3446005Z * [new tag] trunk/76a0609b6bddb2bc40f1eb4ade12885023653d59 -> trunk/76a0609b6bddb2bc40f1eb4ade12885023653d59 2025-08-14T21:26:41.3446138Z * [new tag] trunk/781e9a7724c47496e3d38a81e6dd6194cf098c41 -> trunk/781e9a7724c47496e3d38a81e6dd6194cf098c41 2025-08-14T21:26:41.3446358Z * [new tag] trunk/78a2fe1d42edeaa2ef7020b0fa0ac82ee4a640e4 -> trunk/78a2fe1d42edeaa2ef7020b0fa0ac82ee4a640e4 2025-08-14T21:26:41.3446497Z * [new tag] trunk/7a974a88f2c529a614baeabe4debd00fc8a3b299 -> trunk/7a974a88f2c529a614baeabe4debd00fc8a3b299 2025-08-14T21:26:41.3446629Z * [new tag] trunk/7ae0629d64b404e0ef5d9c931433ad25e65d6114 -> trunk/7ae0629d64b404e0ef5d9c931433ad25e65d6114 2025-08-14T21:26:41.3446782Z * [new tag] trunk/7d2ec704e47f4b740cdecda5534b305e8e1875ef -> trunk/7d2ec704e47f4b740cdecda5534b305e8e1875ef 2025-08-14T21:26:41.3446918Z * [new tag] trunk/7d87e358ac8440f666fabbfd99058bb5342be6ac -> trunk/7d87e358ac8440f666fabbfd99058bb5342be6ac 2025-08-14T21:26:41.3447303Z * [new tag] trunk/7e27347fd353928c99620495c8c531a5eba7d56b -> trunk/7e27347fd353928c99620495c8c531a5eba7d56b 2025-08-14T21:26:41.3447561Z * [new tag] trunk/7e91394955721c77645fcdb75a5d47a255d65020 -> trunk/7e91394955721c77645fcdb75a5d47a255d65020 2025-08-14T21:26:41.3447846Z * [new tag] trunk/7f4cb4a3e018a621add2a37a3a2f67b982d51001 -> trunk/7f4cb4a3e018a621add2a37a3a2f67b982d51001 2025-08-14T21:26:41.3448282Z * [new tag] trunk/7fbc22855c17741ae016992803b2e147a13aa22d -> trunk/7fbc22855c17741ae016992803b2e147a13aa22d 2025-08-14T21:26:41.3448503Z * [new tag] trunk/8047421fbb607d70ede13b9cd5a60b7b8bdfe348 -> trunk/8047421fbb607d70ede13b9cd5a60b7b8bdfe348 2025-08-14T21:26:41.3448852Z * [new tag] trunk/8088cfa592504a2897b4c78f8a46fe658ab5c2c2 -> trunk/8088cfa592504a2897b4c78f8a46fe658ab5c2c2 2025-08-14T21:26:41.3449134Z * [new tag] trunk/80cca8307943ba64168208b54028f55b2c71daff -> trunk/80cca8307943ba64168208b54028f55b2c71daff 2025-08-14T21:26:41.3449495Z * [new tag] trunk/8147370733bbdcd034cad54e9212e51885a11892 -> trunk/8147370733bbdcd034cad54e9212e51885a11892 2025-08-14T21:26:41.3449799Z * [new tag] trunk/83875cdb5594ccb3c9206b8eb5745fe1d011cf26 -> trunk/83875cdb5594ccb3c9206b8eb5745fe1d011cf26 2025-08-14T21:26:41.3450093Z * [new tag] trunk/8399cf88ce8399d2be93355f29d4cb69f51c0654 -> trunk/8399cf88ce8399d2be93355f29d4cb69f51c0654 2025-08-14T21:26:41.3450493Z * [new tag] trunk/842cc77ab9aafd518593c2fce077d6abb42a5b7f -> trunk/842cc77ab9aafd518593c2fce077d6abb42a5b7f 2025-08-14T21:26:41.3450764Z * [new tag] trunk/85db508af533649d0b3447ff3f0d5fe083150c84 -> trunk/85db508af533649d0b3447ff3f0d5fe083150c84 2025-08-14T21:26:41.3451032Z * [new tag] trunk/86eb65f7f06016bcd5d7951dc9d74bc3993a827a -> trunk/86eb65f7f06016bcd5d7951dc9d74bc3993a827a 2025-08-14T21:26:41.3451439Z * [new tag] trunk/87e6c4079d8ec7d04aff00ed82096b39836a8367 -> trunk/87e6c4079d8ec7d04aff00ed82096b39836a8367 2025-08-14T21:26:41.3454149Z * [new tag] trunk/89654db1abccf7e5f261989a150db4d1619ea2aa -> trunk/89654db1abccf7e5f261989a150db4d1619ea2aa 2025-08-14T21:26:41.3454332Z * [new tag] trunk/8a37f0c90392a2c38b7c5955471fa49edcaf5cb1 -> trunk/8a37f0c90392a2c38b7c5955471fa49edcaf5cb1 2025-08-14T21:26:41.3454472Z * [new tag] trunk/8ab5868a2199fe485c2d66533b9244ccb97e487d -> trunk/8ab5868a2199fe485c2d66533b9244ccb97e487d 2025-08-14T21:26:41.3454605Z * [new tag] trunk/8ae4d2652f64b8444b3d5314b9232bd2119bcde6 -> trunk/8ae4d2652f64b8444b3d5314b9232bd2119bcde6 2025-08-14T21:26:41.3454749Z * [new tag] trunk/8c41cb800ae0411f02ea5da34bd5ccc3790633b0 -> trunk/8c41cb800ae0411f02ea5da34bd5ccc3790633b0 2025-08-14T21:26:41.3454894Z * [new tag] trunk/8cb91e20bc205b1416648d0ffd98d1ba1f3a6fc4 -> trunk/8cb91e20bc205b1416648d0ffd98d1ba1f3a6fc4 2025-08-14T21:26:41.3455183Z * [new tag] trunk/8cfaf51d4e29c9bd9f49ecc98d955ed53df1a13d -> trunk/8cfaf51d4e29c9bd9f49ecc98d955ed53df1a13d 2025-08-14T21:26:41.3455409Z * [new tag] trunk/8d1cf529229dce7cd5ea04abb0faac83b87ca6d1 -> trunk/8d1cf529229dce7cd5ea04abb0faac83b87ca6d1 2025-08-14T21:26:41.3455539Z * [new tag] trunk/8d3d1c844303cb1d46123a1caa76d4cf83973347 -> trunk/8d3d1c844303cb1d46123a1caa76d4cf83973347 2025-08-14T21:26:41.3455665Z * [new tag] trunk/8d6d3246316e1767a57d5e855acd6208da753b75 -> trunk/8d6d3246316e1767a57d5e855acd6208da753b75 2025-08-14T21:26:41.3455795Z * [new tag] trunk/8e6a3138581152ab827a0997f34c470271399f5e -> trunk/8e6a3138581152ab827a0997f34c470271399f5e 2025-08-14T21:26:41.3455925Z * [new tag] trunk/8eee08d2279b98af2522debb6512d37e837e89e3 -> trunk/8eee08d2279b98af2522debb6512d37e837e89e3 2025-08-14T21:26:41.3456058Z * [new tag] trunk/90b78ee50f73b5c963996076a3d54b74b1b965be -> trunk/90b78ee50f73b5c963996076a3d54b74b1b965be 2025-08-14T21:26:41.3456189Z * [new tag] trunk/94b91a876327820a4bb6f5d39d156f13f2553ab6 -> trunk/94b91a876327820a4bb6f5d39d156f13f2553ab6 2025-08-14T21:26:41.3456408Z * [new tag] trunk/95210cc409dd578988c7116b47725c304dea54c7 -> trunk/95210cc409dd578988c7116b47725c304dea54c7 2025-08-14T21:26:41.3456643Z * [new tag] trunk/96bd33b2de79598566df395f32e27c4d33673f05 -> trunk/96bd33b2de79598566df395f32e27c4d33673f05 2025-08-14T21:26:41.3457009Z * [new tag] trunk/9708fcf92db88b80b9010c68662d634434da3106 -> trunk/9708fcf92db88b80b9010c68662d634434da3106 2025-08-14T21:26:41.3457317Z * [new tag] trunk/97c8c98f8dcb9c5c188b691d156e0043dba6c7f8 -> trunk/97c8c98f8dcb9c5c188b691d156e0043dba6c7f8 2025-08-14T21:26:41.3457620Z * [new tag] trunk/9903ca4f70bdc1653016256f5b4fd74fdfc609f8 -> trunk/9903ca4f70bdc1653016256f5b4fd74fdfc609f8 2025-08-14T21:26:41.3457932Z * [new tag] trunk/99bc2f94c1955657e950ebdad5f77e518785ccbd -> trunk/99bc2f94c1955657e950ebdad5f77e518785ccbd 2025-08-14T21:26:41.3458177Z * [new tag] trunk/9a06e6d0310da9d8a59ae05e8ec9c0201b55cacd -> trunk/9a06e6d0310da9d8a59ae05e8ec9c0201b55cacd 2025-08-14T21:26:41.3458539Z * [new tag] trunk/9a0f7a3bb01b235ea04581ee540970a098071b72 -> trunk/9a0f7a3bb01b235ea04581ee540970a098071b72 2025-08-14T21:26:41.3460776Z * [new tag] trunk/9b803cdbe298009f08340c1aaccb25aafbca95d8 -> trunk/9b803cdbe298009f08340c1aaccb25aafbca95d8 2025-08-14T21:26:41.3461132Z * [new tag] trunk/9ccd0f5e31ea54fcf42101dfbaacc103494e34df -> trunk/9ccd0f5e31ea54fcf42101dfbaacc103494e34df 2025-08-14T21:26:41.3461271Z * [new tag] trunk/9d37c960a4fc44d5ac334ca8bf775f85b95d76fc -> trunk/9d37c960a4fc44d5ac334ca8bf775f85b95d76fc 2025-08-14T21:26:41.3461405Z * [new tag] trunk/9e07673deb212c87b1c6fea23799a97474c476ed -> trunk/9e07673deb212c87b1c6fea23799a97474c476ed 2025-08-14T21:26:41.3461547Z * [new tag] trunk/9eedd2a20b64302d0d116ea2802b50948d2ebb09 -> trunk/9eedd2a20b64302d0d116ea2802b50948d2ebb09 2025-08-14T21:26:41.3461682Z * [new tag] trunk/9fa8ce26cf638504469852cbc3e7d04579fc8674 -> trunk/9fa8ce26cf638504469852cbc3e7d04579fc8674 2025-08-14T21:26:41.3461819Z * [new tag] trunk/a06ec54d40013c97fbffc174ea8f524ea5a95715 -> trunk/a06ec54d40013c97fbffc174ea8f524ea5a95715 2025-08-14T21:26:41.3461950Z * [new tag] trunk/a288b15ea9f87ddd665f249d492e0fb0861f5a69 -> trunk/a288b15ea9f87ddd665f249d492e0fb0861f5a69 2025-08-14T21:26:41.3462082Z * [new tag] trunk/a2fd106d670bb4990cebfd00f25ecbae4145e76c -> trunk/a2fd106d670bb4990cebfd00f25ecbae4145e76c 2025-08-14T21:26:41.3462220Z * [new tag] trunk/a354fa91e26b376d96385a2206c5ff5b42aa4600 -> trunk/a354fa91e26b376d96385a2206c5ff5b42aa4600 2025-08-14T21:26:41.3462400Z * [new tag] trunk/a4f69a5da08eace1c1e6469dec6a18aa842da73b -> trunk/a4f69a5da08eace1c1e6469dec6a18aa842da73b 2025-08-14T21:26:41.3462531Z * [new tag] trunk/a53d14d5f846ac44f6c205abb1c5bc4d2f3126ae -> trunk/a53d14d5f846ac44f6c205abb1c5bc4d2f3126ae 2025-08-14T21:26:41.3462698Z * [new tag] trunk/a5652407e4f3d772fc44486ac2abf756decf0861 -> trunk/a5652407e4f3d772fc44486ac2abf756decf0861 2025-08-14T21:26:41.3463195Z * [new tag] trunk/a7abf57aabec0ce686092e2d66e53ba185dbc56b -> trunk/a7abf57aabec0ce686092e2d66e53ba185dbc56b 2025-08-14T21:26:41.3463453Z * [new tag] trunk/a84b60c0c4016785fd93b7b8a0c04f2d0770d332 -> trunk/a84b60c0c4016785fd93b7b8a0c04f2d0770d332 2025-08-14T21:26:41.3463876Z * [new tag] trunk/aa75e917bdb0f95bb6dee81853c2d3c4ab3e1883 -> trunk/aa75e917bdb0f95bb6dee81853c2d3c4ab3e1883 2025-08-14T21:26:41.3464112Z * [new tag] trunk/adcca7d9a1c053495e99012de801b2ea237faad0 -> trunk/adcca7d9a1c053495e99012de801b2ea237faad0 2025-08-14T21:26:41.3464412Z * [new tag] trunk/af10f1f86cc4effc93142a447693d8be55966615 -> trunk/af10f1f86cc4effc93142a447693d8be55966615 2025-08-14T21:26:41.3464799Z * [new tag] trunk/af3cabc55d5699f4da528e1ca39d83338f84ae8c -> trunk/af3cabc55d5699f4da528e1ca39d83338f84ae8c 2025-08-14T21:26:41.3465102Z * [new tag] trunk/b0df7715e8c590c0001d1f9cdb97057be80c9107 -> trunk/b0df7715e8c590c0001d1f9cdb97057be80c9107 2025-08-14T21:26:41.3465452Z * [new tag] trunk/b149c7204c218e7c4d6594a89dd74f72bd480ec5 -> trunk/b149c7204c218e7c4d6594a89dd74f72bd480ec5 2025-08-14T21:26:41.3465726Z * [new tag] trunk/b1a602762e6a6674b406a3137e7e7a678885a97b -> trunk/b1a602762e6a6674b406a3137e7e7a678885a97b 2025-08-14T21:26:41.3467750Z * [new tag] trunk/b1f43548cad8fc0e30bda250f6e196310fa7a4bc -> trunk/b1f43548cad8fc0e30bda250f6e196310fa7a4bc 2025-08-14T21:26:41.3467928Z * [new tag] trunk/b219ca2a00a305753c4f1ea4c9c5d23243d54753 -> trunk/b219ca2a00a305753c4f1ea4c9c5d23243d54753 2025-08-14T21:26:41.3468060Z * [new tag] trunk/b4596895b9d85a686c2cb978938b0a7797b3690a -> trunk/b4596895b9d85a686c2cb978938b0a7797b3690a 2025-08-14T21:26:41.3468202Z * [new tag] trunk/b5fd7223b1bf44720dc9183bda7dfcf7aeccff02 -> trunk/b5fd7223b1bf44720dc9183bda7dfcf7aeccff02 2025-08-14T21:26:41.3468334Z * [new tag] trunk/b602ea9cab7d43a7ee7b4051227090f23fbd3dbf -> trunk/b602ea9cab7d43a7ee7b4051227090f23fbd3dbf 2025-08-14T21:26:41.3468466Z * [new tag] trunk/b6b74aed604bd2e96389ff99aaaf39abc64fdc64 -> trunk/b6b74aed604bd2e96389ff99aaaf39abc64fdc64 2025-08-14T21:26:41.3468597Z * [new tag] trunk/b7db86600a2614adc71c92ca42d359a7ac534d78 -> trunk/b7db86600a2614adc71c92ca42d359a7ac534d78 2025-08-14T21:26:41.3468722Z * [new tag] trunk/b9003ed3d87699e81e436719625a21996a6654e5 -> trunk/b9003ed3d87699e81e436719625a21996a6654e5 2025-08-14T21:26:41.3468856Z * [new tag] trunk/b90feeac86bda00afc2789321bcd706015ff44e3 -> trunk/b90feeac86bda00afc2789321bcd706015ff44e3 2025-08-14T21:26:41.3469278Z * [new tag] trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8 -> trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8 2025-08-14T21:26:41.3469534Z * [new tag] trunk/ba47821f524eee50a214ed39fa2e7765d54aabf4 -> trunk/ba47821f524eee50a214ed39fa2e7765d54aabf4 2025-08-14T21:26:41.3469842Z * [new tag] trunk/ba4ccf5d67e3d237f435eacc2bce3c6025f08491 -> trunk/ba4ccf5d67e3d237f435eacc2bce3c6025f08491 2025-08-14T21:26:41.3470196Z * [new tag] trunk/bcf23ecc476df2bd7479f142567213e2623308ee -> trunk/bcf23ecc476df2bd7479f142567213e2623308ee 2025-08-14T21:26:41.3470477Z * [new tag] trunk/be53f609aaf6f01e2863f490975ea9eaac3ee9ff -> trunk/be53f609aaf6f01e2863f490975ea9eaac3ee9ff 2025-08-14T21:26:41.3470921Z * [new tag] trunk/beb4d7816dedc67a5de1f82e5a45b5910f407941 -> trunk/beb4d7816dedc67a5de1f82e5a45b5910f407941 2025-08-14T21:26:41.3471289Z * [new tag] trunk/bfc873d02ec413344717493e4175a902921359fd -> trunk/bfc873d02ec413344717493e4175a902921359fd 2025-08-14T21:26:41.3471674Z * [new tag] trunk/c184cb3852f0ff2d16a489d61abc3739c309e6ca -> trunk/c184cb3852f0ff2d16a489d61abc3739c309e6ca 2025-08-14T21:26:41.3471941Z * [new tag] trunk/c24ca7f4bf79f62fd623d76346ca27e53f731431 -> trunk/c24ca7f4bf79f62fd623d76346ca27e53f731431 2025-08-14T21:26:41.3472197Z * [new tag] trunk/c3dc8dc4122977893004c49d10e4676cd0a97da4 -> trunk/c3dc8dc4122977893004c49d10e4676cd0a97da4 2025-08-14T21:26:41.3472466Z * [new tag] trunk/c5ec5458a547f7a774468ea0eb2258d3de596492 -> trunk/c5ec5458a547f7a774468ea0eb2258d3de596492 2025-08-14T21:26:41.3472903Z * [new tag] trunk/c5efc5c8a66eca84865015058b3221013ebfe685 -> trunk/c5efc5c8a66eca84865015058b3221013ebfe685 2025-08-14T21:26:41.3473287Z * [new tag] trunk/c6563341208003f64c131854a9cf029555f786d2 -> trunk/c6563341208003f64c131854a9cf029555f786d2 2025-08-14T21:26:41.3473530Z * [new tag] trunk/c6d78d4dbda53837d298d23a5fbc09af90a42d9e -> trunk/c6d78d4dbda53837d298d23a5fbc09af90a42d9e 2025-08-14T21:26:41.3475212Z * [new tag] trunk/c8205cb35435f39d2c26f6c94b45e4adeb6dcb23 -> trunk/c8205cb35435f39d2c26f6c94b45e4adeb6dcb23 2025-08-14T21:26:41.3475383Z * [new tag] trunk/c859ba7114b1fcb49527e090745fa17091d1f8d5 -> trunk/c859ba7114b1fcb49527e090745fa17091d1f8d5 2025-08-14T21:26:41.3475515Z * [new tag] trunk/c86040a8e68f754b90a84099187d3624954c7f36 -> trunk/c86040a8e68f754b90a84099187d3624954c7f36 2025-08-14T21:26:41.3475799Z * [new tag] trunk/c9671dc865aa0fc1cb86df754e355b44d8e02bb4 -> trunk/c9671dc865aa0fc1cb86df754e355b44d8e02bb4 2025-08-14T21:26:41.3475943Z * [new tag] trunk/ca7315c17162ea21b1ca5ba23f4bf6168766c7b9 -> trunk/ca7315c17162ea21b1ca5ba23f4bf6168766c7b9 2025-08-14T21:26:41.3476096Z * [new tag] trunk/cae2b5e3d223829bdc553fc8601df4b1c1554cff -> trunk/cae2b5e3d223829bdc553fc8601df4b1c1554cff 2025-08-14T21:26:41.3476244Z * [new tag] trunk/cbffde774557752cf20447d42d99ec6102673c31 -> trunk/cbffde774557752cf20447d42d99ec6102673c31 2025-08-14T21:26:41.3476394Z * [new tag] trunk/cd8d8c18f5bafdc1c73d5ac0129e7b4d76ab45bc -> trunk/cd8d8c18f5bafdc1c73d5ac0129e7b4d76ab45bc 2025-08-14T21:26:41.3476550Z * [new tag] trunk/cf0a0dcb0afa5e84b95461cc542f862b51ca96bf -> trunk/cf0a0dcb0afa5e84b95461cc542f862b51ca96bf 2025-08-14T21:26:41.3476929Z * [new tag] trunk/cf4964be68fa9f4ffc334f01cce42d7424b1cc81 -> trunk/cf4964be68fa9f4ffc334f01cce42d7424b1cc81 2025-08-14T21:26:41.3477296Z * [new tag] trunk/d0e2240f680ea2a553f7ee8188f52482e130bfd0 -> trunk/d0e2240f680ea2a553f7ee8188f52482e130bfd0 2025-08-14T21:26:41.3477585Z * [new tag] trunk/d1950d4bb5cba8fb6b23e4d283eea5b9801737e2 -> trunk/d1950d4bb5cba8fb6b23e4d283eea5b9801737e2 2025-08-14T21:26:41.3478033Z * [new tag] trunk/d20c4c20e61adecf00335c4d8c22eb1ace472cd3 -> trunk/d20c4c20e61adecf00335c4d8c22eb1ace472cd3 2025-08-14T21:26:41.3478219Z * [new tag] trunk/d25c4f954d599ea512e2f70cd6df101c21479d4c -> trunk/d25c4f954d599ea512e2f70cd6df101c21479d4c 2025-08-14T21:26:41.3478578Z * [new tag] trunk/d3d359dbafa89173a371e2637f22b47398e94a24 -> trunk/d3d359dbafa89173a371e2637f22b47398e94a24 2025-08-14T21:26:41.3478884Z * [new tag] trunk/d46768db04499d07a5b0db984112a6d1b7d3b0c1 -> trunk/d46768db04499d07a5b0db984112a6d1b7d3b0c1 2025-08-14T21:26:41.3479265Z * [new tag] trunk/d4c1a08c89f37d249a0146ff511c82ecc5c53b8f -> trunk/d4c1a08c89f37d249a0146ff511c82ecc5c53b8f 2025-08-14T21:26:41.3479591Z * [new tag] trunk/d556586448f3caab85673c7da0978fe31c7748f7 -> trunk/d556586448f3caab85673c7da0978fe31c7748f7 2025-08-14T21:26:41.3479995Z * [new tag] trunk/d670304001429a1a833255a918ed788d7ec4989a -> trunk/d670304001429a1a833255a918ed788d7ec4989a 2025-08-14T21:26:41.3480271Z * [new tag] trunk/d6786741a77aba200c78002646cc069b7a1799b0 -> trunk/d6786741a77aba200c78002646cc069b7a1799b0 2025-08-14T21:26:41.3480798Z * [new tag] trunk/d68c323692dedcbb74e670801e3502944fd790ff -> trunk/d68c323692dedcbb74e670801e3502944fd790ff 2025-08-14T21:26:41.3481011Z * [new tag] trunk/d8cb3db5339b45e4b745b2b883ef3ecde9843e2c -> trunk/d8cb3db5339b45e4b745b2b883ef3ecde9843e2c 2025-08-14T21:26:41.3482571Z * [new tag] trunk/da1f608ca33f3062535d0a4866d95db19e72fcbd -> trunk/da1f608ca33f3062535d0a4866d95db19e72fcbd 2025-08-14T21:26:41.3482849Z * [new tag] trunk/db0b7f1cc9bb3fe71aaf8b964a644147ae8e1c35 -> trunk/db0b7f1cc9bb3fe71aaf8b964a644147ae8e1c35 2025-08-14T21:26:41.3482988Z * [new tag] trunk/db32b60662b2f2bdcad980127d5dc4b66b02a7e4 -> trunk/db32b60662b2f2bdcad980127d5dc4b66b02a7e4 2025-08-14T21:26:41.3483131Z * [new tag] trunk/db763b17175553ba09637362eb9773a91997a7ad -> trunk/db763b17175553ba09637362eb9773a91997a7ad 2025-08-14T21:26:41.3483269Z * [new tag] trunk/db78943a1ca13a32a3d6045eb15e2b719ee13a2f -> trunk/db78943a1ca13a32a3d6045eb15e2b719ee13a2f 2025-08-14T21:26:41.3483405Z * [new tag] trunk/dc0d18e023d9b7e314ebba0f234b6cb1579dbcfd -> trunk/dc0d18e023d9b7e314ebba0f234b6cb1579dbcfd 2025-08-14T21:26:41.3483549Z * [new tag] trunk/dd21c8a578038ab2841a7ba809a06921093ac9d8 -> trunk/dd21c8a578038ab2841a7ba809a06921093ac9d8 2025-08-14T21:26:41.3483690Z * [new tag] trunk/deea71a90e05eb320c04bebfead5317746637f0d -> trunk/deea71a90e05eb320c04bebfead5317746637f0d 2025-08-14T21:26:41.3483912Z * [new tag] trunk/df55ec7d4b35f6d21691e9dd41c82f27de762948 -> trunk/df55ec7d4b35f6d21691e9dd41c82f27de762948 2025-08-14T21:26:41.3484271Z * [new tag] trunk/e1cf0d496ea85d1807c8c740f296e77bf7bdc1df -> trunk/e1cf0d496ea85d1807c8c740f296e77bf7bdc1df 2025-08-14T21:26:41.3484580Z * [new tag] trunk/e248719ac03c103767ab72034f6b9fd56855bf98 -> trunk/e248719ac03c103767ab72034f6b9fd56855bf98 2025-08-14T21:26:41.3484942Z * [new tag] trunk/e49762026070f66be41bfa6537fbcf9bfc24e558 -> trunk/e49762026070f66be41bfa6537fbcf9bfc24e558 2025-08-14T21:26:41.3485233Z * [new tag] trunk/e4de93f6a3e342bab34d3757cf90ec0ccc87e168 -> trunk/e4de93f6a3e342bab34d3757cf90ec0ccc87e168 2025-08-14T21:26:41.3485495Z * [new tag] trunk/e619c6bb90b9dedaccd3cbeed86a288993a4e33f -> trunk/e619c6bb90b9dedaccd3cbeed86a288993a4e33f 2025-08-14T21:26:41.3485861Z * [new tag] trunk/e63c2b21c186a7d2ab8a8953b8aa1535f2e96e58 -> trunk/e63c2b21c186a7d2ab8a8953b8aa1535f2e96e58 2025-08-14T21:26:41.3486156Z * [new tag] trunk/e7152ff8a6a929a0db7f3f4a72a5b6d471769cd3 -> trunk/e7152ff8a6a929a0db7f3f4a72a5b6d471769cd3 2025-08-14T21:26:41.3486518Z * [new tag] trunk/e96c7c4bb0f6aeae2ab3b6f040f7d67edbec199a -> trunk/e96c7c4bb0f6aeae2ab3b6f040f7d67edbec199a 2025-08-14T21:26:41.3486816Z * [new tag] trunk/e9eb2096a59a79e7a94c3e28a0715e040369f34c -> trunk/e9eb2096a59a79e7a94c3e28a0715e040369f34c 2025-08-14T21:26:41.3487288Z * [new tag] trunk/eac2d9d695a32dd456050f45cac35134ec3809f4 -> trunk/eac2d9d695a32dd456050f45cac35134ec3809f4 2025-08-14T21:26:41.3487455Z * [new tag] trunk/ecde76c764752540edf9ef62a97936c86d984b17 -> trunk/ecde76c764752540edf9ef62a97936c86d984b17 2025-08-14T21:26:41.3487729Z * [new tag] trunk/ecea81117b2fdc52907c97b3c32d779e07b5d55b -> trunk/ecea81117b2fdc52907c97b3c32d779e07b5d55b 2025-08-14T21:26:41.3488126Z * [new tag] trunk/edaa151d0d5a4e75fbec9843f49cc78770eb61fb -> trunk/edaa151d0d5a4e75fbec9843f49cc78770eb61fb 2025-08-14T21:26:41.3489598Z * [new tag] trunk/ee1b0412b919dfb358d5a697b3be49621497fbc2 -> trunk/ee1b0412b919dfb358d5a697b3be49621497fbc2 2025-08-14T21:26:41.3489947Z * [new tag] trunk/ee1fb43450c2e985657f95a91b68328d6f20f24e -> trunk/ee1fb43450c2e985657f95a91b68328d6f20f24e 2025-08-14T21:26:41.3490185Z * [new tag] trunk/ee89cc7a0acd69de25f98fe4ef828546db7b444c -> trunk/ee89cc7a0acd69de25f98fe4ef828546db7b444c 2025-08-14T21:26:41.3490322Z * [new tag] trunk/ee9f8ba11d664b871a9e0c7933fdc8571635b78c -> trunk/ee9f8ba11d664b871a9e0c7933fdc8571635b78c 2025-08-14T21:26:41.3490471Z * [new tag] trunk/eed9dbf70f43ee529fec78ac00ed9a4fd74c6e76 -> trunk/eed9dbf70f43ee529fec78ac00ed9a4fd74c6e76 2025-08-14T21:26:41.3490616Z * [new tag] trunk/f077c2402e4eb5b0ed562b4ee5b7a0503f26ef94 -> trunk/f077c2402e4eb5b0ed562b4ee5b7a0503f26ef94 2025-08-14T21:26:41.3490762Z * [new tag] trunk/f0980fc0bbd656d6c02d23ad97e945353b314f35 -> trunk/f0980fc0bbd656d6c02d23ad97e945353b314f35 2025-08-14T21:26:41.3490922Z * [new tag] trunk/f15ada5c6fad97a7dcbfa4673f067b6942dda640 -> trunk/f15ada5c6fad97a7dcbfa4673f067b6942dda640 2025-08-14T21:26:41.3491225Z * [new tag] trunk/f27232a2134150cb5e55d26a74d8c36c6a961ca5 -> trunk/f27232a2134150cb5e55d26a74d8c36c6a961ca5 2025-08-14T21:26:41.3491397Z * [new tag] trunk/f33ce40bc062a281e1a1f57e8c1926d0a7d155cc -> trunk/f33ce40bc062a281e1a1f57e8c1926d0a7d155cc 2025-08-14T21:26:41.3491745Z * [new tag] trunk/f341077ce4710172da20cfad916ee37159bfe9fe -> trunk/f341077ce4710172da20cfad916ee37159bfe9fe 2025-08-14T21:26:41.3492061Z * [new tag] trunk/f3a4d742ece08de4cb0e59dcc62e0093a7d0b0c7 -> trunk/f3a4d742ece08de4cb0e59dcc62e0093a7d0b0c7 2025-08-14T21:26:41.3492428Z * [new tag] trunk/f3f159ff8c4bad2edec99c68a941c628e983d04c -> trunk/f3f159ff8c4bad2edec99c68a941c628e983d04c 2025-08-14T21:26:41.3492781Z * [new tag] trunk/f60454cce8b93e5bbf67f2f3c88c8ac01ed65457 -> trunk/f60454cce8b93e5bbf67f2f3c88c8ac01ed65457 2025-08-14T21:26:41.3493570Z * [new tag] trunk/f7b2f3314cf7aede67d5fa5c75e4243208484344 -> trunk/f7b2f3314cf7aede67d5fa5c75e4243208484344 2025-08-14T21:26:41.3493818Z * [new tag] trunk/f8f0414a5983ff481a2188e0c18594150430c8c5 -> trunk/f8f0414a5983ff481a2188e0c18594150430c8c5 2025-08-14T21:26:41.3494187Z * [new tag] trunk/f95b58c2844b3444cd8446fed8570729dc4216eb -> trunk/f95b58c2844b3444cd8446fed8570729dc4216eb 2025-08-14T21:26:41.3494553Z * [new tag] trunk/f990490a23815ea6ee27e487c70ba2cf513ba43d -> trunk/f990490a23815ea6ee27e487c70ba2cf513ba43d 2025-08-14T21:26:41.3494842Z * [new tag] trunk/fb887c3bb588cfe782615e67f6c26db636b8539b -> trunk/fb887c3bb588cfe782615e67f6c26db636b8539b 2025-08-14T21:26:41.3495641Z * [new tag] trunk/fc25c68f20f772290927a7031b998b92615259cf -> trunk/fc25c68f20f772290927a7031b998b92615259cf 2025-08-14T21:26:41.3495914Z * [new tag] trunk/fc80f6859e0ccf66513a40f04b9e735e759d4ddb -> trunk/fc80f6859e0ccf66513a40f04b9e735e759d4ddb 2025-08-14T21:26:41.3496177Z * [new tag] trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb -> trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb 2025-08-14T21:26:41.3496493Z * [new tag] trunk/fe3f5fe4ea2ff6f56406dc5d954636ebb08d0a08 -> trunk/fe3f5fe4ea2ff6f56406dc5d954636ebb08d0a08 2025-08-14T21:26:41.3498226Z * [new tag] trunk/fea7e9dd37c02c334b130f6624af6163fde6b2ab -> trunk/fea7e9dd37c02c334b130f6624af6163fde6b2ab 2025-08-14T21:26:41.3498370Z * [new tag] trunk/ff0d56d03592aa03f3ced8359241d21df1783393 -> trunk/ff0d56d03592aa03f3ced8359241d21df1783393 2025-08-14T21:26:41.3498439Z * [new tag] v0.1.1 -> v0.1.1 2025-08-14T21:26:41.3498508Z * [new tag] v0.1.10 -> v0.1.10 2025-08-14T21:26:41.3498563Z * [new tag] v0.1.11 -> v0.1.11 2025-08-14T21:26:41.3498696Z * [new tag] v0.1.12 -> v0.1.12 2025-08-14T21:26:41.3498761Z * [new tag] v0.1.2 -> v0.1.2 2025-08-14T21:26:41.3498817Z * [new tag] v0.1.3 -> v0.1.3 2025-08-14T21:26:41.3499032Z * [new tag] v0.1.4 -> v0.1.4 2025-08-14T21:26:41.3499243Z * [new tag] v0.1.5 -> v0.1.5 2025-08-14T21:26:41.3499528Z * [new tag] v0.1.6 -> v0.1.6 2025-08-14T21:26:41.3499779Z * [new tag] v0.1.7 -> v0.1.7 2025-08-14T21:26:41.3500068Z * [new tag] v0.1.8 -> v0.1.8 2025-08-14T21:26:41.3500336Z * [new tag] v0.1.9 -> v0.1.9 2025-08-14T21:26:41.3500629Z * [new tag] v0.2.0 -> v0.2.0 2025-08-14T21:26:41.3500929Z * [new tag] v0.3.0 -> v0.3.0 2025-08-14T21:26:41.3501285Z * [new tag] v0.3.1 -> v0.3.1 2025-08-14T21:26:41.3501539Z * [new tag] v0.4.0 -> v0.4.0 2025-08-14T21:26:41.3501837Z * [new tag] v0.4.1 -> v0.4.1 2025-08-14T21:26:41.3502111Z * [new tag] v1.0.0 -> v1.0.0 2025-08-14T21:26:41.3502405Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-08-14T21:26:41.3502678Z * [new tag] v1.0.1 -> v1.0.1 2025-08-14T21:26:41.3503162Z * [new tag] v1.0rc0 -> v1.0rc0 2025-08-14T21:26:41.3504470Z * [new tag] v1.0rc1 -> v1.0rc1 2025-08-14T21:26:41.3504770Z * [new tag] v1.1.0 -> v1.1.0 2025-08-14T21:26:41.3504851Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-08-14T21:26:41.3504923Z * [new tag] v1.10.0 -> v1.10.0 2025-08-14T21:26:41.3504995Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-08-14T21:26:41.3505061Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-08-14T21:26:41.3505333Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-08-14T21:26:41.3505564Z * [new tag] v1.10.1 -> v1.10.1 2025-08-14T21:26:41.3505756Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-08-14T21:26:41.3505985Z * [new tag] v1.10.2 -> v1.10.2 2025-08-14T21:26:41.3506232Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-08-14T21:26:41.3506595Z * [new tag] v1.11.0 -> v1.11.0 2025-08-14T21:26:41.3506923Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-08-14T21:26:41.3507324Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-08-14T21:26:41.3507623Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-08-14T21:26:41.3508017Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-08-14T21:26:41.3508297Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-08-14T21:26:41.3508525Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-08-14T21:26:41.3508755Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-08-14T21:26:41.3509133Z * [new tag] v1.12.0 -> v1.12.0 2025-08-14T21:26:41.3509455Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-08-14T21:26:41.3509751Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-08-14T21:26:41.3511324Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-08-14T21:26:41.3511406Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-08-14T21:26:41.3511529Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-08-14T21:26:41.3511641Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-08-14T21:26:41.3511697Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-08-14T21:26:41.3511790Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-08-14T21:26:41.3511852Z * [new tag] v1.12.1 -> v1.12.1 2025-08-14T21:26:41.3512116Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-08-14T21:26:41.3512414Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-08-14T21:26:41.3512856Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-08-14T21:26:41.3513205Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-08-14T21:26:41.3513409Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-08-14T21:26:41.3513776Z * [new tag] v1.13.0 -> v1.13.0 2025-08-14T21:26:41.3514047Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-08-14T21:26:41.3514393Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-08-14T21:26:41.3514696Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-08-14T21:26:41.3515104Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-08-14T21:26:41.3515307Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-08-14T21:26:41.3515545Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-08-14T21:26:41.3515901Z * [new tag] v1.13.1 -> v1.13.1 2025-08-14T21:26:41.3516096Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-08-14T21:26:41.3516453Z * [new tag] v1.2.0 -> v1.2.0 2025-08-14T21:26:41.3516736Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-08-14T21:26:41.3518441Z * [new tag] v1.3.0 -> v1.3.0 2025-08-14T21:26:41.3518520Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-08-14T21:26:41.3518823Z * [new tag] v1.3.1 -> v1.3.1 2025-08-14T21:26:41.3518894Z * [new tag] v1.4.0 -> v1.4.0 2025-08-14T21:26:41.3518953Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-08-14T21:26:41.3519014Z * [new tag] v1.4.1 -> v1.4.1 2025-08-14T21:26:41.3519067Z * [new tag] v1.5.0 -> v1.5.0 2025-08-14T21:26:41.3519278Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-08-14T21:26:41.3519637Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-08-14T21:26:41.3519927Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-08-14T21:26:41.3520192Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-08-14T21:26:41.3520427Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-08-14T21:26:41.3520796Z * [new tag] v1.5.1 -> v1.5.1 2025-08-14T21:26:41.3521024Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-08-14T21:26:41.3521255Z * [new tag] v1.6.0 -> v1.6.0 2025-08-14T21:26:41.3521688Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-08-14T21:26:41.3521930Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-08-14T21:26:41.3522289Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-08-14T21:26:41.3522572Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-08-14T21:26:41.3523019Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-08-14T21:26:41.3523288Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-08-14T21:26:41.3523525Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-08-14T21:26:41.3523893Z * [new tag] v1.7.0 -> v1.7.0 2025-08-14T21:26:41.3525525Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-08-14T21:26:41.3525760Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-08-14T21:26:41.3525819Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-08-14T21:26:41.3525871Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-08-14T21:26:41.3525922Z * [new tag] v1.7.1 -> v1.7.1 2025-08-14T21:26:41.3525981Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-08-14T21:26:41.3526331Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-08-14T21:26:41.3526480Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-08-14T21:26:41.3526856Z * [new tag] v1.8.0 -> v1.8.0 2025-08-14T21:26:41.3527074Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-08-14T21:26:41.3527442Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-08-14T21:26:41.3527739Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-08-14T21:26:41.3528097Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-08-14T21:26:41.3528299Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-08-14T21:26:41.3528548Z * [new tag] v1.8.1 -> v1.8.1 2025-08-14T21:26:41.3528916Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-08-14T21:26:41.3529126Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-08-14T21:26:41.3529360Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-08-14T21:26:41.3529988Z * [new tag] v1.8.2 -> v1.8.2 2025-08-14T21:26:41.3530171Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-08-14T21:26:41.3530535Z * [new tag] v1.9.0 -> v1.9.0 2025-08-14T21:26:41.3530821Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-08-14T21:26:41.3531265Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-08-14T21:26:41.3532830Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-08-14T21:26:41.3532917Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-08-14T21:26:41.3532995Z * [new tag] v1.9.1 -> v1.9.1 2025-08-14T21:26:41.3533050Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-08-14T21:26:41.3533105Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-08-14T21:26:41.3533434Z * [new tag] v2.0.0 -> v2.0.0 2025-08-14T21:26:41.3533626Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-08-14T21:26:41.3534015Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-08-14T21:26:41.3534470Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-08-14T21:26:41.3534723Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-08-14T21:26:41.3535114Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-08-14T21:26:41.3535254Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-08-14T21:26:41.3535698Z * [new tag] v2.0.1 -> v2.0.1 2025-08-14T21:26:41.3535990Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-08-14T21:26:41.3536237Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-08-14T21:26:41.3536684Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-08-14T21:26:41.3536804Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-08-14T21:26:41.3537418Z * [new tag] v2.1.0 -> v2.1.0 2025-08-14T21:26:41.3537741Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-08-14T21:26:41.3538058Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-08-14T21:26:41.3538503Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-08-14T21:26:41.3538812Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-08-14T21:26:41.3539212Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-08-14T21:26:41.3540618Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-08-14T21:26:41.3540693Z * [new tag] v2.1.1 -> v2.1.1 2025-08-14T21:26:41.3540889Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-08-14T21:26:41.3540948Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-08-14T21:26:41.3541005Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-08-14T21:26:41.3541229Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-08-14T21:26:41.3541566Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-08-14T21:26:41.3541713Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-08-14T21:26:41.3542074Z * [new tag] v2.1.2 -> v2.1.2 2025-08-14T21:26:41.3542411Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-08-14T21:26:41.3542861Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-08-14T21:26:41.3543116Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-08-14T21:26:41.3543538Z * [new tag] v2.2.0 -> v2.2.0 2025-08-14T21:26:41.3543782Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-08-14T21:26:41.3544195Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-08-14T21:26:41.3544418Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-08-14T21:26:41.3544767Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-08-14T21:26:41.3545063Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-08-14T21:26:41.3545431Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-08-14T21:26:41.3545650Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-08-14T21:26:41.3545897Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-08-14T21:26:41.3546279Z * [new tag] v2.2.1 -> v2.2.1 2025-08-14T21:26:41.3547806Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-08-14T21:26:41.3547896Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-08-14T21:26:41.3548075Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-08-14T21:26:41.3548128Z * [new tag] v2.2.2 -> v2.2.2 2025-08-14T21:26:41.3548187Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-08-14T21:26:41.3548251Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-08-14T21:26:41.3548454Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-08-14T21:26:41.3548784Z * [new tag] v2.3.0 -> v2.3.0 2025-08-14T21:26:41.3548945Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-08-14T21:26:41.3549346Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-08-14T21:26:41.3549692Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-08-14T21:26:41.3549964Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-08-14T21:26:41.3550330Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-08-14T21:26:41.3550646Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-08-14T21:26:41.3551004Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-08-14T21:26:41.3551360Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-08-14T21:26:41.3551572Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-08-14T21:26:41.3551944Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-08-14T21:26:41.3552257Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-08-14T21:26:41.3552519Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-08-14T21:26:41.3552828Z * [new tag] v2.3.1 -> v2.3.1 2025-08-14T21:26:41.3553273Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-08-14T21:26:41.3553552Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-08-14T21:26:41.3555421Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-08-14T21:26:41.3555648Z * [new tag] v2.4.0 -> v2.4.0 2025-08-14T21:26:41.3555710Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-08-14T21:26:41.3555766Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-08-14T21:26:41.3555819Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-08-14T21:26:41.3555894Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-08-14T21:26:41.3556296Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-08-14T21:26:41.3556687Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-08-14T21:26:41.3556966Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-08-14T21:26:41.3557249Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-08-14T21:26:41.3557649Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-08-14T21:26:41.3557879Z * [new tag] v2.4.1 -> v2.4.1 2025-08-14T21:26:41.3558335Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-08-14T21:26:41.3558626Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-08-14T21:26:41.3559015Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-08-14T21:26:41.3559318Z * [new tag] v2.5.0 -> v2.5.0 2025-08-14T21:26:41.3559694Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-08-14T21:26:41.3559918Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-08-14T21:26:41.3560285Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-08-14T21:26:41.3560591Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-08-14T21:26:41.3560984Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-08-14T21:26:41.3561313Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-08-14T21:26:41.3561775Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-08-14T21:26:41.3563231Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-08-14T21:26:41.3563303Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-08-14T21:26:41.3563362Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-08-14T21:26:41.3563424Z * [new tag] v2.5.1 -> v2.5.1 2025-08-14T21:26:41.3563479Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-08-14T21:26:41.3563656Z * [new tag] v2.6.0 -> v2.6.0 2025-08-14T21:26:41.3564050Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-08-14T21:26:41.3564393Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-08-14T21:26:41.3564772Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-08-14T21:26:41.3565067Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-08-14T21:26:41.3565626Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-08-14T21:26:41.3565922Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-08-14T21:26:41.3566317Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-08-14T21:26:41.3566843Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-08-14T21:26:41.3567156Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-08-14T21:26:41.3567530Z * [new tag] v2.7.0 -> v2.7.0 2025-08-14T21:26:41.3567844Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-08-14T21:26:41.3568111Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-08-14T21:26:41.3568544Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-08-14T21:26:41.3568865Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-08-14T21:26:41.3569267Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-08-14T21:26:41.3569575Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-08-14T21:26:41.3571030Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-08-14T21:26:41.3571207Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-08-14T21:26:41.3571262Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-08-14T21:26:41.3571311Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-08-14T21:26:41.3571361Z * [new tag] v2.7.1 -> v2.7.1 2025-08-14T21:26:41.3571737Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-08-14T21:26:41.3572057Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-08-14T21:26:41.3572505Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-08-14T21:26:41.3572831Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-08-14T21:26:41.3573555Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-08-14T21:26:41.3573737Z * [new tag] v2.8.0 -> v2.8.0 2025-08-14T21:26:41.3574117Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-08-14T21:26:41.3574426Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-08-14T21:26:41.3574884Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-08-14T21:26:41.3575168Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-08-14T21:26:41.3575651Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-08-14T21:26:41.3575906Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-08-14T21:26:41.3576281Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-08-14T21:26:41.3576607Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-08-14T21:26:41.3576976Z * [new tag] whc_flight_1 -> whc_flight_1 2025-08-14T21:26:41.3577199Z * [new tag] whc_flight_2 -> whc_flight_2 2025-08-14T21:26:41.3577658Z * [new tag] whc_flight_4 -> whc_flight_4 2025-08-14T21:26:41.3956291Z [command]/usr/bin/git rev-parse --verify --quiet 1fc683cf17c8c673044538d10266c00f92987be2^{object} 2025-08-14T21:26:41.3988137Z 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:26:41.3990057Z ##[endgroup] 2025-08-14T21:26:41.3990183Z ##[group]Determining the checkout info 2025-08-14T21:26:41.3990753Z ##[endgroup] 2025-08-14T21:26:41.3993192Z [command]/usr/bin/git sparse-checkout disable 2025-08-14T21:26:41.4018495Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-08-14T21:26:41.4048441Z ##[group]Checking out the ref 2025-08-14T21:26:41.4050656Z [command]/usr/bin/git checkout --progress --force 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:26:42.0027226Z Note: switching to '1fc683cf17c8c673044538d10266c00f92987be2'. 2025-08-14T21:26:42.0027478Z 2025-08-14T21:26:42.0027906Z You are in 'detached HEAD' state. You can look around, make experimental 2025-08-14T21:26:42.0028293Z changes and commit them, and you can discard any commits you make in this 2025-08-14T21:26:42.0034029Z state without impacting any branches by switching back to a branch. 2025-08-14T21:26:42.0034243Z 2025-08-14T21:26:42.0034393Z If you want to create a new branch to retain commits you create, you may 2025-08-14T21:26:42.0034745Z do so (now or later) by using -c with the switch command. Example: 2025-08-14T21:26:42.0034953Z 2025-08-14T21:26:42.0035051Z git switch -c 2025-08-14T21:26:42.0035189Z 2025-08-14T21:26:42.0035270Z Or undo this operation with: 2025-08-14T21:26:42.0035394Z 2025-08-14T21:26:42.0035466Z git switch - 2025-08-14T21:26:42.0035562Z 2025-08-14T21:26:42.0035733Z Turn off this advice by setting config variable advice.detachedHead to false 2025-08-14T21:26:42.0035979Z 2025-08-14T21:26:42.0036245Z HEAD is now at 1fc683cf17c [Inductor] Allow indexing a flexible layout for extract_input_node_reduction_ranges (#160645) 2025-08-14T21:26:42.0080445Z ##[endgroup] 2025-08-14T21:26:42.0080856Z ##[group]Setting up auth for fetching submodules 2025-08-14T21:26:42.0087272Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-08-14T21:26:42.0134447Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-08-14T21:26:42.0157266Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-08-14T21:26:42.0175805Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-08-14T21:26:42.0194905Z ##[endgroup] 2025-08-14T21:26:42.0195198Z ##[group]Fetching submodules 2025-08-14T21:26:42.0197239Z [command]/usr/bin/git submodule sync --recursive 2025-08-14T21:26:42.0448783Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-08-14T21:26:42.0672173Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-08-14T21:26:42.0673303Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-08-14T21:26:42.0675572Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-08-14T21:26:42.0677112Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-08-14T21:26:42.0679219Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-08-14T21:26:42.0681196Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-08-14T21:26:42.0683680Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-08-14T21:26:42.0685573Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-08-14T21:26:42.0687274Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-08-14T21:26:42.0689096Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-08-14T21:26:42.0695542Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-08-14T21:26:42.0696172Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-08-14T21:26:42.0696699Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-08-14T21:26:42.0697394Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-08-14T21:26:42.0699134Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-08-14T21:26:42.0701087Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-08-14T21:26:42.0702972Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-08-14T21:26:42.0705017Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-08-14T21:26:42.0708001Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:26:42.0709942Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-08-14T21:26:42.0711607Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-08-14T21:26:42.0718849Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-08-14T21:26:42.0719375Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-08-14T21:26:42.0719690Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-08-14T21:26:42.0720017Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-08-14T21:26:42.0721856Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-08-14T21:26:42.0723920Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-08-14T21:26:42.0725872Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-08-14T21:26:42.0727982Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-08-14T21:26:42.0729956Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-08-14T21:26:42.0732091Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-08-14T21:26:42.0734403Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-08-14T21:26:42.0736498Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-08-14T21:26:42.0738954Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-08-14T21:26:42.0740912Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-08-14T21:26:42.0743094Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-08-14T21:26:42.0745465Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-08-14T21:26:42.0771683Z Cloning into '/home/runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-08-14T21:26:42.4977199Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/psimd'... 2025-08-14T21:26:42.4977622Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-08-14T21:26:42.4977960Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/FP16'... 2025-08-14T21:26:42.4978591Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-08-14T21:26:42.5042395Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-08-14T21:26:42.5242264Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-08-14T21:26:42.5887288Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-08-14T21:26:42.7844316Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-08-14T21:26:42.7852665Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/ideep'... 2025-08-14T21:26:42.7853068Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-08-14T21:26:42.7853314Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-08-14T21:26:42.7853529Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/gloo'... 2025-08-14T21:26:42.7853733Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-08-14T21:26:42.7853955Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-08-14T21:26:42.8570311Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-08-14T21:26:44.0030809Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-08-14T21:26:44.0031296Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-08-14T21:26:44.0031659Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-08-14T21:26:44.0039524Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-08-14T21:26:44.0039884Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/sleef'... 2025-08-14T21:26:44.0040228Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-08-14T21:26:44.0040567Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/googletest'... 2025-08-14T21:26:44.0040881Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-08-14T21:26:44.0041221Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-08-14T21:26:44.0041539Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/kineto'... 2025-08-14T21:26:44.0041856Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/fmt'... 2025-08-14T21:26:44.0874261Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-08-14T21:26:52.8489267Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-08-14T21:26:52.8489969Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-08-14T21:26:52.8490532Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-08-14T21:26:52.8491333Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-08-14T21:26:52.8491914Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/onnx'... 2025-08-14T21:26:52.8492424Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/aiter'... 2025-08-14T21:26:52.8493281Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-08-14T21:26:52.8493867Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-08-14T21:26:52.8494400Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-08-14T21:26:52.8607100Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-08-14T21:26:52.8738235Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-08-14T21:26:52.8810790Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-08-14T21:26:52.8951892Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-08-14T21:26:52.9370104Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-08-14T21:26:52.9656642Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-08-14T21:26:53.2883108Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-08-14T21:26:53.3660795Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-08-14T21:26:53.3684002Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:26:53.3710867Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-08-14T21:26:55.7756575Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-08-14T21:26:55.7918349Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-08-14T21:26:55.9355997Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-08-14T21:26:55.9657346Z Submodule path 'third_party/cpp-httplib': checked out '3af7f2c16147f3fbc6e4d717032daf505dc1652c' 2025-08-14T21:26:56.0181104Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-08-14T21:26:56.0407009Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-08-14T21:26:56.3364906Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-08-14T21:26:56.4030909Z Submodule path 'third_party/fbgemm': checked out '21c7d30c526c0f1ad873ecc632dca6cfa8a69067' 2025-08-14T21:26:56.4058588Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-08-14T21:26:56.4059627Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:26:56.4063048Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:26:56.4066230Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-08-14T21:26:56.4067811Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-08-14T21:26:56.4068781Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:26:56.4071257Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-08-14T21:26:56.4121224Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-08-14T21:26:57.6014079Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-08-14T21:26:57.6014399Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-08-14T21:26:57.6019615Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-08-14T21:26:57.6019889Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-08-14T21:26:57.7014677Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-08-14T21:26:57.8432591Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-08-14T21:26:59.7290930Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-08-14T21:26:59.8443608Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-08-14T21:26:59.9002344Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-08-14T21:27:00.1967183Z Submodule path 'third_party/fbgemm/external/cutlass': checked out 'b40777404c174b9694a870bff5c13ce6b7f656ad' 2025-08-14T21:27:00.2236885Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-08-14T21:27:00.2304216Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out 'a4337c69fe0e2552a7b7b0669178926beeed828c' 2025-08-14T21:27:00.2827572Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-08-14T21:27:00.3211751Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-08-14T21:27:00.3225461Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:27:00.3227529Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:27:00.3256855Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-08-14T21:27:02.5295240Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-08-14T21:27:02.6597705Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-08-14T21:27:02.9711022Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-08-14T21:27:03.0368933Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-08-14T21:27:03.0543323Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-08-14T21:27:03.0747422Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-08-14T21:27:03.0880678Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-08-14T21:27:03.1146802Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-08-14T21:27:03.1219435Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-08-14T21:27:03.1231690Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-08-14T21:27:03.1259765Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-08-14T21:27:09.9792031Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-08-14T21:27:09.9920928Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-08-14T21:27:10.0426727Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-08-14T21:27:10.0439920Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:27:10.0440602Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:27:10.0442690Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:27:10.0477156Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-08-14T21:27:10.8002696Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-08-14T21:27:11.1455959Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-08-14T21:27:11.1910921Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-08-14T21:27:11.1922227Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:27:11.1923883Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:27:11.1926184Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:27:11.1927609Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:27:11.1929430Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:27:11.1931286Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:27:11.1933480Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:27:11.1935048Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:27:11.1960522Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-08-14T21:27:12.2373917Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-08-14T21:27:12.2374572Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-08-14T21:27:12.2375168Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-08-14T21:27:12.2375728Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-08-14T21:27:12.2376326Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-08-14T21:27:12.2417827Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-08-14T21:27:12.3419281Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-08-14T21:27:17.7069437Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-08-14T21:27:17.7178508Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-08-14T21:27:17.7386638Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-08-14T21:27:17.7474227Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-08-14T21:27:17.7490577Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:27:17.7506955Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-08-14T21:27:18.2309367Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-08-14T21:27:18.2424431Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-08-14T21:27:18.2646168Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-08-14T21:27:18.3145454Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-08-14T21:27:18.3245549Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-08-14T21:27:18.3468916Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-08-14T21:27:18.3786534Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-08-14T21:27:18.4024305Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-08-14T21:27:18.4242057Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-08-14T21:27:18.4800791Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-08-14T21:27:18.6708310Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-08-14T21:27:18.6730854Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-08-14T21:27:18.6763096Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-08-14T21:27:19.5795447Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-08-14T21:27:19.6135824Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-08-14T21:27:19.6148662Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:27:19.6149557Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:27:19.6151010Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:27:19.6152961Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:27:19.6154508Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:27:19.6156005Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:27:19.6157786Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:27:19.6159319Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:27:19.6181709Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-08-14T21:27:20.1912269Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-08-14T21:27:20.1913474Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'... 2025-08-14T21:27:20.1914354Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-08-14T21:27:20.2015110Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2025-08-14T21:27:20.4694253Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2025-08-14T21:27:20.5694738Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'... 2025-08-14T21:27:23.1140119Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'... 2025-08-14T21:27:25.2949841Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-08-14T21:27:25.3215798Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-08-14T21:27:25.3353718Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-08-14T21:27:25.3916759Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-08-14T21:27:25.4012361Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-08-14T21:27:25.4092394Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-08-14T21:27:25.4188516Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-08-14T21:27:25.4204356Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:27:25.4205037Z Submodule 'googletest' 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Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T21:27:30.2167287Z Entering 'third_party/psimd' 2025-08-14T21:27:30.2205158Z Entering 'third_party/pthreadpool' 2025-08-14T21:27:30.2235192Z Entering 'third_party/pybind11' 2025-08-14T21:27:30.2270651Z Entering 'third_party/python-peachpy' 2025-08-14T21:27:30.2298332Z Entering 'third_party/sleef' 2025-08-14T21:27:30.2328145Z Entering 'third_party/tensorpipe' 2025-08-14T21:27:30.2360592Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:27:30.2385913Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:27:30.2416096Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:27:30.2446823Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:27:30.2477789Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:27:30.2516669Z [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" 2025-08-14T21:27:30.2683385Z Entering 'android/libs/fbjni' 2025-08-14T21:27:30.2706132Z file:/home/runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-08-14T21:27:30.2720944Z Entering 'third_party/FP16' 2025-08-14T21:27:30.2742447Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-08-14T21:27:30.2753589Z Entering 'third_party/FXdiv' 2025-08-14T21:27:30.2783383Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-08-14T21:27:30.2794843Z Entering 'third_party/NNPACK' 2025-08-14T21:27:30.2824762Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config remote.origin.url 2025-08-14T21:27:30.2836590Z Entering 'third_party/NVTX' 2025-08-14T21:27:30.2865197Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config remote.origin.url 2025-08-14T21:27:30.2876414Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T21:27:30.2907848Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config remote.origin.url 2025-08-14T21:27:30.2918727Z Entering 'third_party/XNNPACK' 2025-08-14T21:27:30.2943050Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config remote.origin.url 2025-08-14T21:27:30.2961745Z Entering 'third_party/aiter' 2025-08-14T21:27:30.2988077Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/config remote.origin.url 2025-08-14T21:27:30.2998649Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:27:30.3026194Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config remote.origin.url 2025-08-14T21:27:30.3040435Z Entering 'third_party/benchmark' 2025-08-14T21:27:30.3063805Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config remote.origin.url 2025-08-14T21:27:30.3074379Z Entering 'third_party/composable_kernel' 2025-08-14T21:27:30.3095804Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config remote.origin.url 2025-08-14T21:27:30.3110732Z Entering 'third_party/cpp-httplib' 2025-08-14T21:27:30.3134256Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config remote.origin.url 2025-08-14T21:27:30.3144765Z Entering 'third_party/cpuinfo' 2025-08-14T21:27:30.3170944Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config remote.origin.url 2025-08-14T21:27:30.3183838Z Entering 'third_party/cudnn_frontend' 2025-08-14T21:27:30.3208013Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config remote.origin.url 2025-08-14T21:27:30.3226557Z Entering 'third_party/cutlass' 2025-08-14T21:27:30.3248373Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config remote.origin.url 2025-08-14T21:27:30.3263583Z Entering 'third_party/fbgemm' 2025-08-14T21:27:30.3287616Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config remote.origin.url 2025-08-14T21:27:30.3299686Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T21:27:30.3322814Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/asmjit/config remote.origin.url 2025-08-14T21:27:30.3333189Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:27:30.3358687Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config remote.origin.url 2025-08-14T21:27:30.3375084Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:27:30.3398892Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config remote.origin.url 2025-08-14T21:27:30.3411254Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T21:27:30.3439076Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config remote.origin.url 2025-08-14T21:27:30.3452616Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T21:27:30.3473335Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config remote.origin.url 2025-08-14T21:27:30.3483760Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:27:30.3504966Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config remote.origin.url 2025-08-14T21:27:30.3519831Z Entering 'third_party/fbgemm/external/json' 2025-08-14T21:27:30.3542550Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/json/config remote.origin.url 2025-08-14T21:27:30.3556353Z Entering 'third_party/flash-attention' 2025-08-14T21:27:30.3582271Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/config remote.origin.url 2025-08-14T21:27:30.3591326Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:27:30.3623927Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/composable_kernel/config remote.origin.url 2025-08-14T21:27:30.3637678Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:27:30.3667741Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/cutlass/config remote.origin.url 2025-08-14T21:27:30.3681747Z Entering 'third_party/flatbuffers' 2025-08-14T21:27:30.3704730Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config remote.origin.url 2025-08-14T21:27:30.3716489Z Entering 'third_party/fmt' 2025-08-14T21:27:30.3746480Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fmt/config remote.origin.url 2025-08-14T21:27:30.3758382Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:27:30.3784640Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config remote.origin.url 2025-08-14T21:27:30.3796358Z Entering 'third_party/gloo' 2025-08-14T21:27:30.3828141Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/gloo/config remote.origin.url 2025-08-14T21:27:30.3840575Z Entering 'third_party/googletest' 2025-08-14T21:27:30.3867564Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/googletest/config remote.origin.url 2025-08-14T21:27:30.3878816Z Entering 'third_party/ideep' 2025-08-14T21:27:30.3905077Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/config remote.origin.url 2025-08-14T21:27:30.3915998Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T21:27:30.3937940Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config remote.origin.url 2025-08-14T21:27:30.3952886Z Entering 'third_party/ittapi' 2025-08-14T21:27:30.3974386Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config remote.origin.url 2025-08-14T21:27:30.3985922Z Entering 'third_party/kineto' 2025-08-14T21:27:30.4006930Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/config remote.origin.url 2025-08-14T21:27:30.4016837Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:27:30.4038167Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/config remote.origin.url 2025-08-14T21:27:30.4048900Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:27:30.4075641Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/DCGM/config remote.origin.url 2025-08-14T21:27:30.4090813Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:27:30.4113905Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/cpr/config remote.origin.url 2025-08-14T21:27:30.4124816Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:27:30.4146705Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/fmt/config remote.origin.url 2025-08-14T21:27:30.4158819Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:27:30.4179909Z 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'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:27:30.7934584Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:27:30.7969896Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-08-14T21:27:30.8148566Z Entering 'android/libs/fbjni' 2025-08-14T21:27:30.8171240Z Entering 'third_party/FP16' 2025-08-14T21:27:30.8198656Z Entering 'third_party/FXdiv' 2025-08-14T21:27:30.8226777Z Entering 'third_party/NNPACK' 2025-08-14T21:27:30.8256799Z Entering 'third_party/NVTX' 2025-08-14T21:27:30.8286589Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T21:27:30.8310050Z Entering 'third_party/XNNPACK' 2025-08-14T21:27:30.8352006Z Entering 'third_party/aiter' 2025-08-14T21:27:30.8389012Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:27:30.8415814Z Entering 'third_party/benchmark' 2025-08-14T21:27:30.8445325Z Entering 'third_party/composable_kernel' 2025-08-14T21:27:30.8471051Z Entering 'third_party/cpp-httplib' 2025-08-14T21:27:30.8492532Z Entering 'third_party/cpuinfo' 2025-08-14T21:27:30.8515287Z Entering 'third_party/cudnn_frontend' 2025-08-14T21:27:30.8551128Z Entering 'third_party/cutlass' 2025-08-14T21:27:30.8581570Z Entering 'third_party/fbgemm' 2025-08-14T21:27:30.8605740Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T21:27:30.8623351Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:27:30.8646670Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:27:30.8677038Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T21:27:30.8700283Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T21:27:30.8728059Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:27:30.8747471Z Entering 'third_party/fbgemm/external/json' 2025-08-14T21:27:30.8778159Z Entering 'third_party/flash-attention' 2025-08-14T21:27:30.8807490Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:27:30.8834918Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:27:30.8862591Z Entering 'third_party/flatbuffers' 2025-08-14T21:27:30.8888760Z Entering 'third_party/fmt' 2025-08-14T21:27:30.8910953Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:27:30.8936109Z Entering 'third_party/gloo' 2025-08-14T21:27:30.8967722Z Entering 'third_party/googletest' 2025-08-14T21:27:30.8990671Z Entering 'third_party/ideep' 2025-08-14T21:27:30.9017038Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T21:27:30.9043348Z Entering 'third_party/ittapi' 2025-08-14T21:27:30.9066140Z Entering 'third_party/kineto' 2025-08-14T21:27:30.9088709Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:27:30.9111364Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:27:30.9132499Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:27:30.9153827Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:27:30.9174749Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:27:30.9195556Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:27:30.9217944Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:27:30.9238998Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:27:30.9258300Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:27:30.9287042Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:27:30.9310001Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:27:30.9335618Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:27:30.9358811Z Entering 'third_party/kleidiai' 2025-08-14T21:27:30.9381610Z Entering 'third_party/mimalloc' 2025-08-14T21:27:30.9403310Z Entering 'third_party/nlohmann' 2025-08-14T21:27:30.9427352Z Entering 'third_party/onnx' 2025-08-14T21:27:30.9456190Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T21:27:30.9480115Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T21:27:30.9507086Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:27:30.9527545Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:27:30.9548380Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:27:30.9575349Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:27:30.9599832Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:27:30.9616909Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:27:30.9647035Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:27:30.9669316Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:27:30.9695991Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:27:30.9717082Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:27:30.9747220Z Entering 'third_party/pocketfft' 2025-08-14T21:27:30.9770155Z Entering 'third_party/protobuf' 2025-08-14T21:27:30.9799992Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:27:30.9821450Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T21:27:30.9851260Z Entering 'third_party/psimd' 2025-08-14T21:27:30.9871772Z Entering 'third_party/pthreadpool' 2025-08-14T21:27:30.9898029Z Entering 'third_party/pybind11' 2025-08-14T21:27:30.9919650Z Entering 'third_party/python-peachpy' 2025-08-14T21:27:30.9947776Z Entering 'third_party/sleef' 2025-08-14T21:27:30.9975313Z Entering 'third_party/tensorpipe' 2025-08-14T21:27:31.0007871Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:27:31.0033065Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:27:31.0058626Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:27:31.0086344Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:27:31.0109539Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:27:31.0140155Z ##[endgroup] 2025-08-14T21:27:31.0168223Z [command]/usr/bin/git log -1 --format=%H 2025-08-14T21:27:31.0186186Z 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:27:31.0336335Z Prepare all required actions 2025-08-14T21:27:31.0336590Z Getting action download info 2025-08-14T21:27:31.2366360Z ##[group]Run ./.github/actions/setup-rocm 2025-08-14T21:27:31.2366495Z env: 2025-08-14T21:27:31.2366593Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:31.2366698Z ##[endgroup] 2025-08-14T21:27:31.2491419Z ##[group]Run dpkg -l | grep -E " rocm" 2025-08-14T21:27:31.2491576Z dpkg -l | grep -E " rocm" 2025-08-14T21:27:31.2497276Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:31.2497412Z env: 2025-08-14T21:27:31.2497497Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:31.2497594Z ##[endgroup] 2025-08-14T21:27:31.2562833Z ii rocm-cmake 0.14.0.60401-83~22.04 amd64 rocm-cmake built using CMake 2025-08-14T21:27:31.2563246Z ii rocm-core 6.4.1.60401-83~22.04 amd64 ROCm Runtime software stack 2025-08-14T21:27:31.2563872Z ii rocm-dbgapi 0.77.2.60401-83~22.04 amd64 Library to provide AMD GPU debugger API 2025-08-14T21:27:31.2564427Z ii rocm-debug-agent 2.0.4.60401-83~22.04 amd64 Radeon Open Compute Debug Agent (ROCdebug-agent) 2025-08-14T21:27:31.2564909Z ii rocm-dev 6.4.1.60401-83~22.04 amd64 Radeon Open Compute (ROCm) Runtime software stack 2025-08-14T21:27:31.2565346Z ii rocm-device-libs 1.0.0.60401-83~22.04 amd64 Radeon Open Compute - device libraries 2025-08-14T21:27:31.2565722Z ii rocm-gdb 15.2.60401-83~22.04 amd64 ROCgdb 2025-08-14T21:27:31.2566078Z ii rocm-llvm 19.0.0.25184.60401-83~22.04 amd64 ROCm core compiler 2025-08-14T21:27:31.2566454Z ii rocm-opencl 2.0.0.60401-83~22.04 amd64 clr built using CMake 2025-08-14T21:27:31.2566841Z ii rocm-opencl-dev 2.0.0.60401-83~22.04 amd64 clr built using CMake 2025-08-14T21:27:31.2567236Z ii rocm-smi-lib 7.5.0.60401-83~22.04 amd64 AMD System Management libraries 2025-08-14T21:27:31.2567650Z ii rocm-utils 6.4.1.60401-83~22.04 amd64 Radeon Open Compute (ROCm) Runtime software stack 2025-08-14T21:27:31.2568091Z ii rocminfo 1.0.0.60401-83~22.04 amd64 Radeon Open Compute (ROCm) Runtime rocminfo tool 2025-08-14T21:27:31.2592227Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T21:27:31.2592498Z # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T21:27:31.2592683Z # shellcheck disable=SC2046 2025-08-14T21:27:31.2593123Z docker stop $(docker ps -q) || true 2025-08-14T21:27:31.2595694Z # Prune all stopped containers. 2025-08-14T21:27:31.2595829Z docker container prune -f 2025-08-14T21:27:31.2601836Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:31.2601977Z env: 2025-08-14T21:27:31.2602063Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:31.2602289Z ##[endgroup] 2025-08-14T21:27:31.2833028Z docker: 'docker stop' requires at least 1 argument 2025-08-14T21:27:31.2833343Z 2025-08-14T21:27:31.2833525Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-08-14T21:27:31.2833793Z 2025-08-14T21:27:31.2833944Z See 'docker stop --help' for more information 2025-08-14T21:27:31.2947730Z Total reclaimed space: 0B 2025-08-14T21:27:31.2982176Z ##[group]Run cat /etc/os-release || true 2025-08-14T21:27:31.2982368Z cat /etc/os-release || true 2025-08-14T21:27:31.2982499Z cat /etc/apt/sources.list.d/rocm.list || true 2025-08-14T21:27:31.2982637Z cat /opt/rocm/.info/version || true 2025-08-14T21:27:31.2984763Z whoami 2025-08-14T21:27:31.2990400Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:31.2990542Z env: 2025-08-14T21:27:31.2990626Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:31.2990721Z ##[endgroup] 2025-08-14T21:27:31.3025225Z PRETTY_NAME="Ubuntu 22.04.5 LTS" 2025-08-14T21:27:31.3033463Z NAME="Ubuntu" 2025-08-14T21:27:31.3033603Z VERSION_ID="22.04" 2025-08-14T21:27:31.3033751Z VERSION="22.04.5 LTS (Jammy Jellyfish)" 2025-08-14T21:27:31.3033930Z VERSION_CODENAME=jammy 2025-08-14T21:27:31.3034060Z ID=ubuntu 2025-08-14T21:27:31.3034176Z ID_LIKE=debian 2025-08-14T21:27:31.3034345Z HOME_URL="https://www.ubuntu.com/" 2025-08-14T21:27:31.3034514Z SUPPORT_URL="https://help.ubuntu.com/" 2025-08-14T21:27:31.3034719Z BUG_REPORT_URL="https://bugs.launchpad.net/ubuntu/" 2025-08-14T21:27:31.3035013Z PRIVACY_POLICY_URL="https://www.ubuntu.com/legal/terms-and-policies/privacy-policy" 2025-08-14T21:27:31.3035260Z UBUNTU_CODENAME=jammy 2025-08-14T21:27:31.3035531Z deb [arch=amd64 signed-by=/etc/apt/keyrings/rocm.gpg] https://repo.radeon.com/rocm/apt/6.4.1 jammy main 2025-08-14T21:27:31.3040577Z 6.4.1-83 2025-08-14T21:27:31.3049373Z runner 2025-08-14T21:27:31.3060995Z ##[group]Run dpkg -l | grep -E " amdgpu" 2025-08-14T21:27:31.3061148Z dpkg -l | grep -E " amdgpu" 2025-08-14T21:27:31.3065073Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:31.3065220Z env: 2025-08-14T21:27:31.3065312Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:31.3065421Z ##[endgroup] 2025-08-14T21:27:31.3135273Z ii amdgpu-core 1:6.4.60401-2164967.22.04 all Core meta package for unified amdgpu driver. 2025-08-14T21:27:31.3135594Z ii amdgpu-install 6.4.60401-2164967.22.04 all AMDGPU driver repository and installer 2025-08-14T21:27:31.3148187Z ##[group]Run rocm-smi 2025-08-14T21:27:31.3148297Z rocm-smi 2025-08-14T21:27:31.3152219Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:31.3152369Z env: 2025-08-14T21:27:31.3152470Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:31.3152591Z ##[endgroup] 2025-08-14T21:27:31.3615088Z 2025-08-14T21:27:31.3615639Z 2025-08-14T21:27:31.3616422Z ============================================ ROCm System Management Interface ============================================ 2025-08-14T21:27:31.3617116Z ====================================================== Concise Info ====================================================== 2025-08-14T21:27:31.3617758Z Device Node IDs Temp Power Partitions SCLK MCLK Fan Perf PwrCap VRAM% GPU% 2025-08-14T21:27:31.3618898Z  (DID, GUID) (Junction) (Socket) (Mem, Compute, ID)  2025-08-14T21:27:31.3619426Z ========================================================================================================================== 2025-08-14T21:27:31.3620563Z 0 6 0x74b9, 41285 51.0°C 146.0W NPS1, SPX, 0 150Mhz 900Mhz 0% auto 1000.0W 0% 0% 2025-08-14T21:27:31.3621105Z ========================================================================================================================== 2025-08-14T21:27:31.3621531Z ================================================== End of ROCm SMI Log =================================================== 2025-08-14T21:27:31.3677465Z ##[group]Run rocminfo 2025-08-14T21:27:31.3677600Z rocminfo 2025-08-14T21:27:31.3682572Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:31.3682871Z env: 2025-08-14T21:27:31.3682961Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:31.3683064Z ##[endgroup] 2025-08-14T21:27:31.4322579Z ROCk module version 6.12.12 is loaded 2025-08-14T21:27:31.4322934Z ===================== 2025-08-14T21:27:31.4323054Z HSA System Attributes 2025-08-14T21:27:31.4323157Z ===================== 2025-08-14T21:27:31.4323269Z Runtime Version: 1.15 2025-08-14T21:27:31.4323391Z Runtime Ext Version: 1.7 2025-08-14T21:27:31.4323743Z System Timestamp Freq.: 1000.000000MHz 2025-08-14T21:27:31.4323934Z Sig. Max Wait Duration: 18446744073709551615 (0xFFFFFFFFFFFFFFFF) (timestamp count) 2025-08-14T21:27:31.4324132Z Machine Model: LARGE 2025-08-14T21:27:31.4324315Z System Endianness: LITTLE 2025-08-14T21:27:31.4324456Z Mwaitx: DISABLED 2025-08-14T21:27:31.4324572Z XNACK enabled: NO 2025-08-14T21:27:31.4324681Z DMAbuf Support: YES 2025-08-14T21:27:31.4324793Z VMM Support: YES 2025-08-14T21:27:31.4324858Z 2025-08-14T21:27:31.4324900Z ========== 2025-08-14T21:27:31.4324995Z HSA Agents 2025-08-14T21:27:31.4325095Z ========== 2025-08-14T21:27:31.4325186Z ******* 2025-08-14T21:27:31.4325281Z Agent 1 2025-08-14T21:27:31.4325371Z ******* 2025-08-14T21:27:31.4325491Z Name: AMD EPYC 9575F 64-Core Processor 2025-08-14T21:27:31.4325670Z Uuid: CPU-XX 2025-08-14T21:27:31.4325829Z Marketing Name: AMD EPYC 9575F 64-Core Processor 2025-08-14T21:27:31.4325992Z Vendor Name: CPU 2025-08-14T21:27:31.4326148Z Feature: None specified 2025-08-14T21:27:31.4326306Z Profile: FULL_PROFILE 2025-08-14T21:27:31.4326459Z Float Round Mode: NEAR 2025-08-14T21:27:31.4326628Z Max Queue Number: 0(0x0) 2025-08-14T21:27:31.4326784Z Queue Min Size: 0(0x0) 2025-08-14T21:27:31.4326941Z Queue Max Size: 0(0x0) 2025-08-14T21:27:31.4327096Z Queue Type: MULTI 2025-08-14T21:27:31.4327235Z Node: 0 2025-08-14T21:27:31.4327386Z Device Type: CPU 2025-08-14T21:27:31.4327531Z Cache Info: 2025-08-14T21:27:31.4327730Z L1: 65536(0x10000) KB 2025-08-14T21:27:31.4327880Z Chip ID: 0(0x0) 2025-08-14T21:27:31.4328026Z ASIC Revision: 0(0x0) 2025-08-14T21:27:31.4328176Z Cacheline Size: 64(0x40) 2025-08-14T21:27:31.4328333Z Max Clock Freq. (MHz): 0 2025-08-14T21:27:31.4328479Z BDFID: 0 2025-08-14T21:27:31.4328621Z Internal Node ID: 0 2025-08-14T21:27:31.4328779Z Compute Unit: 80 2025-08-14T21:27:31.4328924Z SIMDs per CU: 0 2025-08-14T21:27:31.4329078Z Shader Engines: 0 2025-08-14T21:27:31.4329233Z Shader Arrs. per Eng.: 0 2025-08-14T21:27:31.4329399Z WatchPts on Addr. Ranges:1 2025-08-14T21:27:31.4336293Z Memory Properties: 2025-08-14T21:27:31.4336542Z Features: None 2025-08-14T21:27:31.4336645Z Pool Info: 2025-08-14T21:27:31.4336741Z Pool 1 2025-08-14T21:27:31.4336874Z Segment: GLOBAL; FLAGS: FINE GRAINED 2025-08-14T21:27:31.4337026Z Size: 660508064(0x275e8da0) KB 2025-08-14T21:27:31.4337174Z Allocatable: TRUE 2025-08-14T21:27:31.4337319Z Alloc Granule: 4KB 2025-08-14T21:27:31.4337469Z Alloc Recommended Granule:4KB 2025-08-14T21:27:31.4337621Z Alloc Alignment: 4KB 2025-08-14T21:27:31.4337810Z Accessible by all: TRUE 2025-08-14T21:27:31.4337936Z Pool 2 2025-08-14T21:27:31.4338055Z Segment: GLOBAL; FLAGS: EXTENDED FINE GRAINED 2025-08-14T21:27:31.4338197Z Size: 660508064(0x275e8da0) KB 2025-08-14T21:27:31.4338330Z Allocatable: TRUE 2025-08-14T21:27:31.4338472Z Alloc Granule: 4KB 2025-08-14T21:27:31.4338621Z Alloc Recommended Granule:4KB 2025-08-14T21:27:31.4338770Z Alloc Alignment: 4KB 2025-08-14T21:27:31.4338917Z Accessible by all: TRUE 2025-08-14T21:27:31.4339040Z Pool 3 2025-08-14T21:27:31.4339156Z Segment: GLOBAL; FLAGS: KERNARG, FINE GRAINED 2025-08-14T21:27:31.4339292Z Size: 660508064(0x275e8da0) KB 2025-08-14T21:27:31.4339426Z Allocatable: TRUE 2025-08-14T21:27:31.4339568Z Alloc Granule: 4KB 2025-08-14T21:27:31.4339718Z Alloc Recommended Granule:4KB 2025-08-14T21:27:31.4339869Z Alloc Alignment: 4KB 2025-08-14T21:27:31.4340012Z Accessible by all: TRUE 2025-08-14T21:27:31.4340136Z Pool 4 2025-08-14T21:27:31.4340250Z Segment: GLOBAL; FLAGS: COARSE GRAINED 2025-08-14T21:27:31.4340383Z Size: 660508064(0x275e8da0) KB 2025-08-14T21:27:31.4340517Z Allocatable: TRUE 2025-08-14T21:27:31.4340658Z Alloc Granule: 4KB 2025-08-14T21:27:31.4340814Z Alloc Recommended Granule:4KB 2025-08-14T21:27:31.4340962Z Alloc Alignment: 4KB 2025-08-14T21:27:31.4341107Z Accessible by all: TRUE 2025-08-14T21:27:31.4341234Z ISA Info: 2025-08-14T21:27:31.4341326Z ******* 2025-08-14T21:27:31.4341414Z Agent 2 2025-08-14T21:27:31.4341500Z ******* 2025-08-14T21:27:31.4341607Z Name: AMD EPYC 9575F 64-Core Processor 2025-08-14T21:27:31.4341742Z Uuid: CPU-XX 2025-08-14T21:27:31.4341890Z Marketing Name: AMD EPYC 9575F 64-Core Processor 2025-08-14T21:27:31.4342041Z Vendor Name: CPU 2025-08-14T21:27:31.4342184Z Feature: None specified 2025-08-14T21:27:31.4342320Z Profile: FULL_PROFILE 2025-08-14T21:27:31.4342464Z Float Round Mode: NEAR 2025-08-14T21:27:31.4342606Z Max Queue Number: 0(0x0) 2025-08-14T21:27:31.4342806Z Queue Min Size: 0(0x0) 2025-08-14T21:27:31.4342991Z Queue Max Size: 0(0x0) 2025-08-14T21:27:31.4343132Z Queue Type: MULTI 2025-08-14T21:27:31.4343267Z Node: 1 2025-08-14T21:27:31.4343399Z Device Type: CPU 2025-08-14T21:27:31.4343523Z Cache Info: 2025-08-14T21:27:31.4343632Z L1: 65536(0x10000) KB 2025-08-14T21:27:31.4343769Z Chip ID: 0(0x0) 2025-08-14T21:27:31.4343925Z ASIC Revision: 0(0x0) 2025-08-14T21:27:31.4344111Z Cacheline Size: 64(0x40) 2025-08-14T21:27:31.4344268Z Max Clock Freq. (MHz): 0 2025-08-14T21:27:31.4344408Z BDFID: 0 2025-08-14T21:27:31.4344559Z Internal Node ID: 1 2025-08-14T21:27:31.4344713Z Compute Unit: 80 2025-08-14T21:27:31.4344855Z SIMDs per CU: 0 2025-08-14T21:27:31.4345009Z Shader Engines: 0 2025-08-14T21:27:31.4345162Z Shader Arrs. per Eng.: 0 2025-08-14T21:27:31.4345324Z WatchPts on Addr. Ranges:1 2025-08-14T21:27:31.4345471Z Memory Properties: 2025-08-14T21:27:31.4345576Z Features: None 2025-08-14T21:27:31.4345683Z Pool Info: 2025-08-14T21:27:31.4345783Z Pool 1 2025-08-14T21:27:31.4345917Z Segment: GLOBAL; FLAGS: FINE GRAINED 2025-08-14T21:27:31.4346067Z Size: 660522908(0x275ec79c) KB 2025-08-14T21:27:31.4346210Z Allocatable: TRUE 2025-08-14T21:27:31.4346366Z Alloc Granule: 4KB 2025-08-14T21:27:31.4346521Z Alloc Recommended Granule:4KB 2025-08-14T21:27:31.4346682Z Alloc Alignment: 4KB 2025-08-14T21:27:31.4346834Z Accessible by all: TRUE 2025-08-14T21:27:31.4346969Z Pool 2 2025-08-14T21:27:31.4347093Z Segment: GLOBAL; FLAGS: EXTENDED FINE GRAINED 2025-08-14T21:27:31.4347232Z Size: 660522908(0x275ec79c) KB 2025-08-14T21:27:31.4347371Z Allocatable: TRUE 2025-08-14T21:27:31.4347523Z Alloc Granule: 4KB 2025-08-14T21:27:31.4347679Z Alloc Recommended Granule:4KB 2025-08-14T21:27:31.4347834Z Alloc Alignment: 4KB 2025-08-14T21:27:31.4347993Z Accessible by all: TRUE 2025-08-14T21:27:31.4348129Z Pool 3 2025-08-14T21:27:31.4348245Z Segment: GLOBAL; FLAGS: KERNARG, FINE GRAINED 2025-08-14T21:27:31.4348386Z Size: 660522908(0x275ec79c) KB 2025-08-14T21:27:31.4348522Z Allocatable: TRUE 2025-08-14T21:27:31.4348695Z Alloc Granule: 4KB 2025-08-14T21:27:31.4348867Z Alloc Recommended Granule:4KB 2025-08-14T21:27:31.4350830Z Alloc Alignment: 4KB 2025-08-14T21:27:31.4350983Z Accessible by all: TRUE 2025-08-14T21:27:31.4351128Z Pool 4 2025-08-14T21:27:31.4351244Z Segment: GLOBAL; FLAGS: COARSE GRAINED 2025-08-14T21:27:31.4351456Z Size: 660522908(0x275ec79c) KB 2025-08-14T21:27:31.4351589Z Allocatable: TRUE 2025-08-14T21:27:31.4351731Z Alloc Granule: 4KB 2025-08-14T21:27:31.4351879Z Alloc Recommended Granule:4KB 2025-08-14T21:27:31.4352027Z Alloc Alignment: 4KB 2025-08-14T21:27:31.4352171Z Accessible by all: TRUE 2025-08-14T21:27:31.4352297Z ISA Info: 2025-08-14T21:27:31.4352388Z ******* 2025-08-14T21:27:31.4354060Z Agent 3 2025-08-14T21:27:31.4354160Z ******* 2025-08-14T21:27:31.4354313Z Name: gfx942 2025-08-14T21:27:31.4354447Z Uuid: GPU-7db03d241edeb326 2025-08-14T21:27:31.4354589Z Marketing Name: AMD Instinct Mi325X VF 2025-08-14T21:27:31.4354739Z Vendor Name: AMD 2025-08-14T21:27:31.4354877Z Feature: KERNEL_DISPATCH 2025-08-14T21:27:31.4355013Z Profile: BASE_PROFILE 2025-08-14T21:27:31.4355154Z Float Round Mode: NEAR 2025-08-14T21:27:31.4355294Z Max Queue Number: 128(0x80) 2025-08-14T21:27:31.4355432Z Queue Min Size: 64(0x40) 2025-08-14T21:27:31.4355569Z Queue Max Size: 131072(0x20000) 2025-08-14T21:27:31.4355706Z Queue Type: MULTI 2025-08-14T21:27:31.4355837Z Node: 2 2025-08-14T21:27:31.4357289Z Device Type: GPU 2025-08-14T21:27:31.4357419Z Cache Info: 2025-08-14T21:27:31.4357530Z L1: 32(0x20) KB 2025-08-14T21:27:31.4357650Z L2: 4096(0x1000) KB 2025-08-14T21:27:31.4357769Z L3: 262144(0x40000) KB 2025-08-14T21:27:31.4357893Z Chip ID: 29881(0x74b9) 2025-08-14T21:27:31.4358027Z ASIC Revision: 1(0x1) 2025-08-14T21:27:31.4358167Z Cacheline Size: 128(0x80) 2025-08-14T21:27:31.4358307Z Max Clock Freq. (MHz): 2100 2025-08-14T21:27:31.4358438Z BDFID: 39680 2025-08-14T21:27:31.4358577Z Internal Node ID: 2 2025-08-14T21:27:31.4358715Z Compute Unit: 304 2025-08-14T21:27:31.4358850Z SIMDs per CU: 4 2025-08-14T21:27:31.4360219Z Shader Engines: 32 2025-08-14T21:27:31.4360363Z Shader Arrs. per Eng.: 1 2025-08-14T21:27:31.4360508Z WatchPts on Addr. Ranges:4 2025-08-14T21:27:31.4360656Z Coherent Host Access: FALSE 2025-08-14T21:27:31.4360786Z Memory Properties: 2025-08-14T21:27:31.4360892Z Features: KERNEL_DISPATCH 2025-08-14T21:27:31.4361023Z Fast F16 Operation: TRUE 2025-08-14T21:27:31.4361165Z Wavefront Size: 64(0x40) 2025-08-14T21:27:31.4361309Z Workgroup Max Size: 1024(0x400) 2025-08-14T21:27:31.4361443Z Workgroup Max Size per Dimension: 2025-08-14T21:27:31.4361557Z x 1024(0x400) 2025-08-14T21:27:31.4361673Z y 1024(0x400) 2025-08-14T21:27:31.4363113Z z 1024(0x400) 2025-08-14T21:27:31.4363249Z Max Waves Per CU: 32(0x20) 2025-08-14T21:27:31.4363393Z Max Work-item Per CU: 2048(0x800) 2025-08-14T21:27:31.4363536Z Grid Max Size: 4294967295(0xffffffff) 2025-08-14T21:27:31.4363661Z Grid Max Size per Dimension: 2025-08-14T21:27:31.4363764Z x 4294967295(0xffffffff) 2025-08-14T21:27:31.4363882Z y 4294967295(0xffffffff) 2025-08-14T21:27:31.4363998Z z 4294967295(0xffffffff) 2025-08-14T21:27:31.4364132Z Max fbarriers/Workgrp: 32 2025-08-14T21:27:31.4369583Z Packet Processor uCode:: 177 2025-08-14T21:27:31.4369744Z SDMA engine uCode:: 24 2025-08-14T21:27:31.4369888Z IOMMU Support:: None 2025-08-14T21:27:31.4370019Z Pool Info: 2025-08-14T21:27:31.4371914Z Pool 1 2025-08-14T21:27:31.4372038Z Segment: GLOBAL; FLAGS: COARSE GRAINED 2025-08-14T21:27:31.4372181Z Size: 268107776(0xffb0000) KB 2025-08-14T21:27:31.4372317Z Allocatable: TRUE 2025-08-14T21:27:31.4372460Z Alloc Granule: 4KB 2025-08-14T21:27:31.4372610Z Alloc Recommended Granule:2048KB 2025-08-14T21:27:31.4372855Z Alloc Alignment: 4KB 2025-08-14T21:27:31.4373006Z Accessible by all: FALSE 2025-08-14T21:27:31.4373132Z Pool 2 2025-08-14T21:27:31.4373250Z Segment: GLOBAL; FLAGS: EXTENDED FINE GRAINED 2025-08-14T21:27:31.4373389Z Size: 268107776(0xffb0000) KB 2025-08-14T21:27:31.4373529Z Allocatable: TRUE 2025-08-14T21:27:31.4374983Z Alloc Granule: 4KB 2025-08-14T21:27:31.4375139Z Alloc Recommended Granule:2048KB 2025-08-14T21:27:31.4375291Z Alloc Alignment: 4KB 2025-08-14T21:27:31.4375437Z Accessible by all: FALSE 2025-08-14T21:27:31.4375563Z Pool 3 2025-08-14T21:27:31.4375678Z Segment: GLOBAL; FLAGS: FINE GRAINED 2025-08-14T21:27:31.4375813Z Size: 268107776(0xffb0000) KB 2025-08-14T21:27:31.4375949Z Allocatable: TRUE 2025-08-14T21:27:31.4376089Z Alloc Granule: 4KB 2025-08-14T21:27:31.4376238Z Alloc Recommended Granule:2048KB 2025-08-14T21:27:31.4376390Z Alloc Alignment: 4KB 2025-08-14T21:27:31.4376536Z Accessible by all: FALSE 2025-08-14T21:27:31.4377891Z Pool 4 2025-08-14T21:27:31.4378120Z Segment: GROUP 2025-08-14T21:27:31.4378357Z Size: 64(0x40) KB 2025-08-14T21:27:31.4378492Z Allocatable: FALSE 2025-08-14T21:27:31.4378635Z Alloc Granule: 0KB 2025-08-14T21:27:31.4378783Z Alloc Recommended Granule:0KB 2025-08-14T21:27:31.4378936Z Alloc Alignment: 0KB 2025-08-14T21:27:31.4379090Z Accessible by all: FALSE 2025-08-14T21:27:31.4379216Z ISA Info: 2025-08-14T21:27:31.4379392Z ISA 1 2025-08-14T21:27:31.4379514Z Name: amdgcn-amd-amdhsa--gfx942:sramecc+:xnack- 2025-08-14T21:27:31.4381079Z Machine Models: HSA_MACHINE_MODEL_LARGE 2025-08-14T21:27:31.4381242Z Profiles: HSA_PROFILE_BASE 2025-08-14T21:27:31.4381396Z Default Rounding Mode: NEAR 2025-08-14T21:27:31.4381555Z Default Rounding Mode: NEAR 2025-08-14T21:27:31.4381695Z Fast f16: TRUE 2025-08-14T21:27:31.4381835Z Workgroup Max Size: 1024(0x400) 2025-08-14T21:27:31.4382024Z Workgroup Max Size per Dimension: 2025-08-14T21:27:31.4382151Z x 1024(0x400) 2025-08-14T21:27:31.4382270Z y 1024(0x400) 2025-08-14T21:27:31.4382390Z z 1024(0x400) 2025-08-14T21:27:31.4382519Z Grid Max Size: 4294967295(0xffffffff) 2025-08-14T21:27:31.4382647Z Grid Max Size per Dimension: 2025-08-14T21:27:31.4383933Z x 4294967295(0xffffffff) 2025-08-14T21:27:31.4384059Z y 4294967295(0xffffffff) 2025-08-14T21:27:31.4384178Z z 4294967295(0xffffffff) 2025-08-14T21:27:31.4384311Z FBarrier Max Size: 32 2025-08-14T21:27:31.4384436Z ISA 2 2025-08-14T21:27:31.4384572Z Name: amdgcn-amd-amdhsa--gfx9-4-generic:sramecc+:xnack- 2025-08-14T21:27:31.4384734Z Machine Models: HSA_MACHINE_MODEL_LARGE 2025-08-14T21:27:31.4384883Z Profiles: HSA_PROFILE_BASE 2025-08-14T21:27:31.4385033Z Default Rounding Mode: NEAR 2025-08-14T21:27:31.4385184Z Default Rounding Mode: NEAR 2025-08-14T21:27:31.4385324Z Fast f16: TRUE 2025-08-14T21:27:31.4385463Z Workgroup Max Size: 1024(0x400) 2025-08-14T21:27:31.4385595Z Workgroup Max Size per Dimension: 2025-08-14T21:27:31.4386712Z x 1024(0x400) 2025-08-14T21:27:31.4386830Z y 1024(0x400) 2025-08-14T21:27:31.4386943Z z 1024(0x400) 2025-08-14T21:27:31.4387073Z Grid Max Size: 4294967295(0xffffffff) 2025-08-14T21:27:31.4387201Z Grid Max Size per Dimension: 2025-08-14T21:27:31.4387308Z x 4294967295(0xffffffff) 2025-08-14T21:27:31.4387426Z y 4294967295(0xffffffff) 2025-08-14T21:27:31.4387546Z z 4294967295(0xffffffff) 2025-08-14T21:27:31.4387678Z FBarrier Max Size: 32 2025-08-14T21:27:31.4387802Z *** Done *** 2025-08-14T21:27:31.4403722Z ##[group]Run ngpu=$(rocminfo | grep -c -E 'Name:.*\sgfx') 2025-08-14T21:27:31.4403912Z ngpu=$(rocminfo | grep -c -E 'Name:.*\sgfx') 2025-08-14T21:27:31.4404177Z msg="Please file an issue on pytorch/pytorch reporting the faulty runner. Include a link to the runner logs so the runner can be identified" 2025-08-14T21:27:31.4404425Z if [[ $ngpu -eq 0 ]]; then 2025-08-14T21:27:31.4404562Z  echo "Error: Failed to detect any GPUs on the runner" 2025-08-14T21:27:31.4404696Z  echo "$msg" 2025-08-14T21:27:31.4404785Z  exit 1 2025-08-14T21:27:31.4404866Z fi 2025-08-14T21:27:31.4410013Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:31.4410212Z env: 2025-08-14T21:27:31.4410294Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:31.4410389Z ##[endgroup] 2025-08-14T21:27:31.5123124Z ##[group]Run pytorch/pytorch/.github/actions/diskspace-cleanup@main 2025-08-14T21:27:31.5123324Z with: 2025-08-14T21:27:31.5123477Z diskspace-cutoff: 70 2025-08-14T21:27:31.5123588Z env: 2025-08-14T21:27:31.5123705Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:31.5123832Z ##[endgroup] 2025-08-14T21:27:31.5149927Z ##[group]Run set -ex 2025-08-14T21:27:31.5150112Z set -ex 2025-08-14T21:27:31.5150224Z diskspace_cutoff=70 2025-08-14T21:27:31.5150406Z docker_root_dir=$(docker info -f '{{.DockerRootDir}}') 2025-08-14T21:27:31.5150784Z if [ ! -d "$docker_root_dir" ]; then 2025-08-14T21:27:31.5151012Z  echo "Docker root directory ($docker_root_dir) does not exist. Skipping disk space check." 2025-08-14T21:27:31.5153753Z  exit 0 2025-08-14T21:27:31.5153844Z fi 2025-08-14T21:27:31.5154002Z diskspace=$(df -H --output=pcent ${docker_root_dir} | sed -n 2p | sed 's/%//' | sed 's/ //') 2025-08-14T21:27:31.5154320Z msg="Please file an issue on pytorch/pytorch reporting the faulty runner. Include a link to the runner logs so the runner can be identified" 2025-08-14T21:27:31.5154589Z if [[ "$diskspace" -ge "$diskspace_cutoff" ]] ; then 2025-08-14T21:27:31.5154726Z  docker system prune -af 2025-08-14T21:27:31.5154907Z  diskspace_new=$(df -H --output=pcent ${docker_root_dir} | sed -n 2p | sed 's/%//' | sed 's/ //') 2025-08-14T21:27:31.5155111Z  if [[ "$diskspace_new" -gt "$diskspace_cutoff" ]] ; then 2025-08-14T21:27:31.5155330Z  echo "Error: Available diskspace is less than $diskspace_cutoff percent. Not enough diskspace." 2025-08-14T21:27:31.5155517Z  echo "$msg" 2025-08-14T21:27:31.5155614Z  exit 1 2025-08-14T21:27:31.5155699Z  else 2025-08-14T21:27:31.5157523Z  difference=$((diskspace - diskspace_new)) 2025-08-14T21:27:31.5157671Z  echo "Diskspace saved: $difference percent" 2025-08-14T21:27:31.5157790Z  fi 2025-08-14T21:27:31.5157867Z fi 2025-08-14T21:27:31.5162863Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:31.5162995Z env: 2025-08-14T21:27:31.5163074Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:31.5163167Z ##[endgroup] 2025-08-14T21:27:31.5181925Z + diskspace_cutoff=70 2025-08-14T21:27:31.5184065Z ++ docker info -f '{{.DockerRootDir}}' 2025-08-14T21:27:31.5545844Z + docker_root_dir=/home/runner/docker-data 2025-08-14T21:27:31.5546239Z + '[' '!' -d /home/runner/docker-data ']' 2025-08-14T21:27:31.5550142Z ++ df -H --output=pcent /home/runner/docker-data 2025-08-14T21:27:31.5550548Z ++ sed -n 2p 2025-08-14T21:27:31.5551483Z ++ sed s/%// 2025-08-14T21:27:31.5553461Z ++ sed 's/ //' 2025-08-14T21:27:31.5566036Z + diskspace=' 9' 2025-08-14T21:27:31.5566488Z + msg='Please file an issue on pytorch/pytorch reporting the faulty runner. Include a link to the runner logs so the runner can be identified' 2025-08-14T21:27:31.5566760Z + [[ 9 -ge 70 ]] 2025-08-14T21:27:31.5590590Z ##[group]Run RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts" 2025-08-14T21:27:31.5590860Z RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts" 2025-08-14T21:27:31.5591031Z rm -rf "${RUNNER_ARTIFACT_DIR}" 2025-08-14T21:27:31.5591196Z mkdir -p "${RUNNER_ARTIFACT_DIR}" 2025-08-14T21:27:31.5596904Z echo "RUNNER_ARTIFACT_DIR=${RUNNER_ARTIFACT_DIR}" >> "${GITHUB_ENV}" 2025-08-14T21:27:31.5597069Z  2025-08-14T21:27:31.5597190Z RUNNER_TEST_RESULTS_DIR="${RUNNER_TEMP}/test-results" 2025-08-14T21:27:31.5597374Z rm -rf "${RUNNER_TEST_RESULTS_DIR}" 2025-08-14T21:27:31.5597509Z mkdir -p "${RUNNER_TEST_RESULTS_DIR}" 2025-08-14T21:27:31.5597692Z echo "RUNNER_TEST_RESULTS_DIR=${RUNNER_TEST_RESULTS_DIR}" >> "${GITHUB_ENV}" 2025-08-14T21:27:31.5598038Z  2025-08-14T21:27:31.5598137Z RUNNER_DOCS_DIR="${RUNNER_TEMP}/docs" 2025-08-14T21:27:31.5598269Z rm -rf "${RUNNER_DOCS_DIR}" 2025-08-14T21:27:31.5598389Z mkdir -p "${RUNNER_DOCS_DIR}" 2025-08-14T21:27:31.5598544Z echo "RUNNER_DOCS_DIR=${RUNNER_DOCS_DIR}" >> "${GITHUB_ENV}" 2025-08-14T21:27:31.5606272Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:31.5606420Z env: 2025-08-14T21:27:31.5606504Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:31.5606602Z ##[endgroup] 2025-08-14T21:27:31.5697740Z ##[group]Run env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:27:31.5698126Z env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:27:31.5698307Z env | grep '^CI' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:27:31.5707890Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:31.5708119Z env: 2025-08-14T21:27:31.5708238Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:31.5708372Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:27:31.5714097Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:27:31.5714267Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:27:31.5714396Z ##[endgroup] 2025-08-14T21:27:31.5776434Z ##[group]Run # All GPUs are visible to the runner; visibility, if needed, will be set by run_test.py. 2025-08-14T21:27:31.5776725Z # All GPUs are visible to the runner; visibility, if needed, will be set by run_test.py. 2025-08-14T21:27:31.5776915Z # Add render group for container creation. 2025-08-14T21:27:31.5777090Z render_gid=`cat /etc/group | grep render | cut -d: -f3` 2025-08-14T21:27:31.5777285Z # Ensure GPU isolation if pod is part of kubernetes setup with DEVICE_FLAG. 2025-08-14T21:27:31.5777471Z if [ -f "/etc/podinfo/gha-render-devices" ]; then 2025-08-14T21:27:31.5777647Z  DEVICE_FLAG=$(cat /etc/podinfo/gha-render-devices) 2025-08-14T21:27:31.5777782Z else 2025-08-14T21:27:31.5779579Z  DEVICE_FLAG="--device /dev/dri" 2025-08-14T21:27:31.5779689Z fi 2025-08-14T21:27:31.5779860Z # The --group-add daemon and --group-add bin are needed in the Ubuntu 24.04 and Almalinux OSs respectively. 2025-08-14T21:27:31.5780128Z # This is due to the device files (/dev/kfd & /dev/dri) being owned by video group on bare metal. 2025-08-14T21:27:31.5780371Z # This video group ID maps to subgid 1 inside the docker image due to the /etc/subgid entries. 2025-08-14T21:27:31.5780625Z # The group name corresponding to group ID 1 can change depending on the OS, so both are necessary. 2025-08-14T21:27:31.5781055Z echo "GPU_FLAG=--device=/dev/mem --device=/dev/kfd $DEVICE_FLAG --group-add video --group-add $render_gid --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host" >> "${GITHUB_ENV}" 2025-08-14T21:27:31.5785594Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:31.5785726Z env: 2025-08-14T21:27:31.5785807Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:31.5785927Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:27:31.5787836Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:27:31.5787988Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:27:31.5788101Z ##[endgroup] 2025-08-14T21:27:31.5885085Z ##[group]Run aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722 2025-08-14T21:27:31.5885280Z with: 2025-08-14T21:27:31.5885413Z role-to-assume: arn:aws:iam::308535385114:role/gha_workflow_s3_and_ecr_read_only 2025-08-14T21:27:31.5885572Z aws-region: us-east-1 2025-08-14T21:27:31.5885669Z role-duration-seconds: 18000 2025-08-14T21:27:31.5885778Z audience: sts.amazonaws.com 2025-08-14T21:27:31.5885873Z env: 2025-08-14T21:27:31.5888150Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:31.5888273Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:27:31.5888435Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:27:31.5888583Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:27:31.5888961Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:27:31.5889313Z ##[endgroup] 2025-08-14T21:27:31.7750069Z Assuming role with OIDC 2025-08-14T21:27:31.9110815Z Authenticated as assumedRoleId AROAUPVRELQNLLCOPFEJR:GitHubActions 2025-08-14T21:27:31.9592457Z ##[group]Run aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076 2025-08-14T21:27:31.9592652Z with: 2025-08-14T21:27:31.9592858Z mask-password: true 2025-08-14T21:27:31.9592970Z registry-type: private 2025-08-14T21:27:31.9593088Z skip-logout: false 2025-08-14T21:27:31.9593186Z env: 2025-08-14T21:27:31.9593279Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:31.9593417Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:27:31.9593593Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:27:31.9593756Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:27:31.9594145Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:27:31.9594511Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:27:31.9594642Z AWS_REGION: us-east-1 2025-08-14T21:27:31.9595048Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:27:31.9595257Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:27:31.9597488Z AWS_SESSION_TOKEN: *** 2025-08-14T21:27:31.9597587Z ##[endgroup] 2025-08-14T21:27:32.1539537Z Logging into registry 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:32.3744963Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-08-14T21:27:32.3745157Z with: 2025-08-14T21:27:32.3745452Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:32.3745779Z use-custom-docker-registry: true 2025-08-14T21:27:32.3745908Z docker-build-dir: .ci/docker 2025-08-14T21:27:32.3746027Z docker-build-script: ./build.sh 2025-08-14T21:27:32.3746152Z working-directory: . 2025-08-14T21:27:32.3746286Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:32.3746438Z force-push: false 2025-08-14T21:27:32.3746526Z env: 2025-08-14T21:27:32.3746615Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:32.3746748Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:27:32.3746921Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:27:32.3747105Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:27:32.3747479Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:27:32.3747846Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:27:32.3747956Z AWS_REGION: us-east-1 2025-08-14T21:27:32.3748222Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:27:32.3748370Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:27:32.3750550Z AWS_SESSION_TOKEN: *** 2025-08-14T21:27:32.3750649Z ##[endgroup] 2025-08-14T21:27:32.3765342Z ##[group]Run set -ex 2025-08-14T21:27:32.3765462Z set -ex 2025-08-14T21:27:32.3765548Z  2025-08-14T21:27:32.3765695Z # If the docker build directory or the build script doesn't exist, the action will 2025-08-14T21:27:32.3765932Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-08-14T21:27:32.3766245Z # job could then download the pre-built image as usual 2025-08-14T21:27:32.3766494Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-08-14T21:27:32.3766728Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-08-14T21:27:32.3766849Z else 2025-08-14T21:27:32.3766950Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:27:32.3767113Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:27:32.3767260Z  2025-08-14T21:27:32.3767457Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-08-14T21:27:32.3767675Z  exit 0 2025-08-14T21:27:32.3767758Z fi 2025-08-14T21:27:32.3767840Z  2025-08-14T21:27:32.3767968Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-08-14T21:27:32.3768188Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-08-14T21:27:32.3768378Z  # use it as it is, but first let's extract the tag 2025-08-14T21:27:32.3768557Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-08-14T21:27:32.3768741Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:27:32.3768917Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:27:32.3769058Z else 2025-08-14T21:27:32.3769163Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-08-14T21:27:32.3769305Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-08-14T21:27:32.3769449Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-08-14T21:27:32.3769569Z  fi 2025-08-14T21:27:32.3769810Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-08-14T21:27:32.3770035Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:27:32.3770261Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:27:32.3770506Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:27:32.3770659Z fi 2025-08-14T21:27:32.3776293Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:32.3776432Z env: 2025-08-14T21:27:32.3776518Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:32.3776649Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:27:32.3776816Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:27:32.3776975Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:27:32.3777382Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:27:32.3777749Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:27:32.3777857Z AWS_REGION: us-east-1 2025-08-14T21:27:32.3777999Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:27:32.3778153Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:27:32.3780358Z AWS_SESSION_TOKEN: *** 2025-08-14T21:27:32.3780479Z REPO_NAME: pytorch 2025-08-14T21:27:32.3780880Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:32.3781225Z DOCKER_BUILD_DIR: .ci/docker 2025-08-14T21:27:32.3781383Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-08-14T21:27:32.3785201Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:32.3785358Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-08-14T21:27:32.3785470Z CUSTOM_TAG_PREFIX: 2025-08-14T21:27:32.3785653Z ##[endgroup] 2025-08-14T21:27:32.3805712Z + [[ -d .ci/docker ]] 2025-08-14T21:27:32.3805895Z + [[ -f .ci/docker/./build.sh ]] 2025-08-14T21:27:32.3806037Z + [[ true == \t\r\u\e ]] 2025-08-14T21:27:32.3806166Z + echo skip=false 2025-08-14T21:27:32.3806612Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-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* ]] 2025-08-14T21:27:32.3812178Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:32.3812559Z ++ awk -F '[:,]' '{print $2}' 2025-08-14T21:27:32.3823079Z + DOCKER_TAG=pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:32.3823417Z + echo docker-tag=pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:32.3823856Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:32.3864241Z ##[group]Run set +e 2025-08-14T21:27:32.3864397Z set +e 2025-08-14T21:27:32.3864485Z set -x 2025-08-14T21:27:32.3864569Z  2025-08-14T21:27:32.3864649Z login() { 2025-08-14T21:27:32.3864839Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-08-14T21:27:32.3865023Z } 2025-08-14T21:27:32.3865101Z  2025-08-14T21:27:32.3865178Z retry () { 2025-08-14T21:27:32.3867304Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-08-14T21:27:32.3867430Z } 2025-08-14T21:27:32.3867508Z  2025-08-14T21:27:32.3867594Z retry login "${DOCKER_REGISTRY}" 2025-08-14T21:27:32.3867709Z  2025-08-14T21:27:32.3867794Z START_TIME=$(date +%s) 2025-08-14T21:27:32.3868062Z # Wait up to 120 minutes 2025-08-14T21:27:32.3868201Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-08-14T21:27:32.3868380Z  # Check if image already exists, if it does then skip building it 2025-08-14T21:27:32.3868557Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-08-14T21:27:32.3868689Z  exit 0 2025-08-14T21:27:32.3868777Z  fi 2025-08-14T21:27:32.3868861Z  2025-08-14T21:27:32.3869014Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-08-14T21:27:32.3869260Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-08-14T21:27:32.3869503Z  # latter, it will wait for the Docker images to become available before continuing 2025-08-14T21:27:32.3869703Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-08-14T21:27:32.3869859Z  # It's a Docker build job, let's build the image 2025-08-14T21:27:32.3870003Z  break 2025-08-14T21:27:32.3870099Z  else 2025-08-14T21:27:32.3871808Z  # It's a regular build job, wait for the image to become available 2025-08-14T21:27:32.3871962Z  sleep 300 2025-08-14T21:27:32.3872054Z  fi 2025-08-14T21:27:32.3872134Z done 2025-08-14T21:27:32.3872215Z  2025-08-14T21:27:32.3872342Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-08-14T21:27:32.3872542Z # be empty. The default action would be to continue rebuild the image 2025-08-14T21:27:32.3872847Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-08-14T21:27:32.3873066Z  # if we're on the base branch then use the parent commit 2025-08-14T21:27:32.3873212Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-08-14T21:27:32.3873323Z else 2025-08-14T21:27:32.3874954Z  # otherwise we're on a PR, so use the most recent base commit 2025-08-14T21:27:32.3875247Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-08-14T21:27:32.3875374Z fi 2025-08-14T21:27:32.3875452Z  2025-08-14T21:27:32.3875539Z if [[ -z "${MERGE_BASE}" ]]; then 2025-08-14T21:27:32.3875670Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:27:32.3875788Z  2025-08-14T21:27:32.3875951Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-08-14T21:27:32.3876140Z  exit 0 2025-08-14T21:27:32.3876222Z fi 2025-08-14T21:27:32.3876300Z  2025-08-14T21:27:32.3877860Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-08-14T21:27:32.3878107Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-08-14T21:27:32.3878311Z  exit 1 2025-08-14T21:27:32.3878400Z fi 2025-08-14T21:27:32.3878479Z  2025-08-14T21:27:32.3878611Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-08-14T21:27:32.3878842Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-08-14T21:27:32.3879049Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-08-14T21:27:32.3879284Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-08-14T21:27:32.3879548Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-08-14T21:27:32.3879710Z fi 2025-08-14T21:27:32.3881196Z  2025-08-14T21:27:32.3881300Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:27:32.3886992Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:32.3887135Z env: 2025-08-14T21:27:32.3887228Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:32.3887409Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:27:32.3887580Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:27:32.3887738Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:27:32.3888111Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:27:32.3888480Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:27:32.3890393Z AWS_REGION: us-east-1 2025-08-14T21:27:32.3890598Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:27:32.3890760Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:27:32.3893204Z AWS_SESSION_TOKEN: *** 2025-08-14T21:27:32.3893310Z DOCKER_BUILD_DIR: .ci/docker 2025-08-14T21:27:32.3893442Z BASE_REVISION: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:27:32.3893769Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:32.3894161Z DOCKER_TAG: pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:32.3894403Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:32.3894547Z DOCKER_PUSH: 2025-08-14T21:27:32.3894638Z ##[endgroup] 2025-08-14T21:27:32.3919681Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:32.3919884Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:32.3922209Z + aws ecr get-login-password --region us-east-1 2025-08-14T21:27:32.3922567Z /home/runner/_work/_temp/1d196b1c-e43e-4bb3-bae1-b1f34464f592.sh: line 5: aws: command not found 2025-08-14T21:27:32.3923124Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:32.4021960Z Error: Cannot perform an interactive login from a non TTY device 2025-08-14T21:27:32.4032136Z + sleep 1 2025-08-14T21:27:33.4043402Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:33.4045498Z + aws ecr get-login-password --region us-east-1 2025-08-14T21:27:33.4046527Z /home/runner/_work/_temp/1d196b1c-e43e-4bb3-bae1-b1f34464f592.sh: line 5: aws: command not found 2025-08-14T21:27:33.4047615Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:33.4144188Z Error: Cannot perform an interactive login from a non TTY device 2025-08-14T21:27:33.4156354Z + sleep 2 2025-08-14T21:27:35.4169340Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:35.4172299Z + aws ecr get-login-password --region us-east-1 2025-08-14T21:27:35.4179200Z /home/runner/_work/_temp/1d196b1c-e43e-4bb3-bae1-b1f34464f592.sh: line 5: aws: command not found 2025-08-14T21:27:35.4180459Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:35.4274975Z Error: Cannot perform an interactive login from a non TTY device 2025-08-14T21:27:35.4294218Z ++ date +%s 2025-08-14T21:27:35.4308296Z + START_TIME=1755206855 2025-08-14T21:27:35.4310283Z ++ date +%s 2025-08-14T21:27:35.4317296Z + [[ 1755199655 -lt 1755206855 ]] 2025-08-14T21:27:35.4317833Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:35.9275546Z { 2025-08-14T21:27:35.9275843Z "schemaVersion": 2, 2025-08-14T21:27:35.9276333Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-08-14T21:27:35.9276795Z "config": { 2025-08-14T21:27:35.9277169Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-08-14T21:27:35.9277585Z "size": 28953, 2025-08-14T21:27:35.9278038Z "digest": "sha256:f968c2883fdf032a534e9577cb4e8bad20e2eb8cd411e3dd3d358b47f53e7a2c" 2025-08-14T21:27:35.9278522Z }, 2025-08-14T21:27:35.9278739Z "layers": [ 2025-08-14T21:27:35.9278984Z { 2025-08-14T21:27:35.9279750Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:27:35.9280183Z "size": 30448173, 2025-08-14T21:27:35.9280634Z "digest": "sha256:660ffc76f83b006444a5731b215acc2e35138d8be5cac8ed1ffd40f947117495" 2025-08-14T21:27:35.9281103Z }, 2025-08-14T21:27:35.9281306Z { 2025-08-14T21:27:35.9281531Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:27:35.9281679Z "size": 1554, 2025-08-14T21:27:35.9281833Z "digest": "sha256:92bfd659ef8b927b4551531ac0e9de296b22554de7a7598a74c2141f2662e55f" 2025-08-14T21:27:35.9282015Z }, 2025-08-14T21:27:35.9282092Z { 2025-08-14T21:27:35.9282213Z "mediaType": 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2025-08-14T21:27:35.9286973Z "digest": "sha256:f854990b300b43cd8046e118b72b1d870f72a9ae2924505eca652564857fb488" 2025-08-14T21:27:35.9287144Z }, 2025-08-14T21:27:35.9287224Z { 2025-08-14T21:27:35.9287350Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:27:35.9287509Z "size": 724, 2025-08-14T21:27:35.9287670Z "digest": "sha256:f5ee8fcbf10357f0b748cb22b5895845cfaa8ac1d9c9533cd29be9a417b217c5" 2025-08-14T21:27:35.9287846Z }, 2025-08-14T21:27:35.9287922Z { 2025-08-14T21:27:35.9288048Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:27:35.9288205Z "size": 3244143357, 2025-08-14T21:27:35.9295902Z "digest": "sha256:a10b9d4967ee5e80af57d63683d6701aeddcd2188bf301d628de3c3faf6687a1" 2025-08-14T21:27:35.9296106Z }, 2025-08-14T21:27:35.9296333Z { 2025-08-14T21:27:35.9296497Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:27:35.9296732Z "size": 380, 2025-08-14T21:27:35.9296912Z "digest": 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"sha256:4db9a41536f56645c1e18c4ebb18d2a148304e6d26eeda2718f07f770798dd67" 2025-08-14T21:27:35.9308327Z }, 2025-08-14T21:27:35.9308397Z { 2025-08-14T21:27:35.9308515Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:27:35.9308661Z "size": 613, 2025-08-14T21:27:35.9308809Z "digest": "sha256:b05d7c562d5c7a9cf7619e180c263c69e8d20ac694ffbad063395847c96347d7" 2025-08-14T21:27:35.9308977Z }, 2025-08-14T21:27:35.9309049Z { 2025-08-14T21:27:35.9309166Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:27:35.9309313Z "size": 677677381, 2025-08-14T21:27:35.9310607Z "digest": "sha256:2a6c6a5a7fe391d449c7e81de36e57f7b9d2fb4ef1bd7e8034f5847a6d55b8b9" 2025-08-14T21:27:35.9310777Z }, 2025-08-14T21:27:35.9310848Z { 2025-08-14T21:27:35.9310966Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:27:35.9311111Z "size": 111, 2025-08-14T21:27:35.9311261Z "digest": "sha256:9853a939cabe6a52286e17c90da49c4dd74da7dee75dce80d0a11649dde34c16" 2025-08-14T21:27:35.9311427Z }, 2025-08-14T21:27:35.9311495Z { 2025-08-14T21:27:35.9311612Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:27:35.9311756Z "size": 1556, 2025-08-14T21:27:35.9311907Z "digest": "sha256:4eb8f1f36a6fd2ca42f6314dad4a83235d709e3c049f8fd1f46e09a81933462e" 2025-08-14T21:27:35.9313306Z }, 2025-08-14T21:27:35.9313388Z { 2025-08-14T21:27:35.9313584Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:27:35.9313772Z "size": 107, 2025-08-14T21:27:35.9313921Z "digest": "sha256:988fbe4e5657c83f0771d7d8b05db508faab26dfb35299c12cd8ddd483de0850" 2025-08-14T21:27:35.9314087Z }, 2025-08-14T21:27:35.9314156Z { 2025-08-14T21:27:35.9314273Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:27:35.9314418Z "size": 166, 2025-08-14T21:27:35.9314562Z "digest": 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"sha256:f6fe93848ce18d6ae5d0d976f06eae240a3edf4c286e18f296bdfc9e0d7e6074" 2025-08-14T21:27:35.9342649Z }, 2025-08-14T21:27:35.9342775Z { 2025-08-14T21:27:35.9342892Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:27:35.9343040Z "size": 197508609, 2025-08-14T21:27:35.9348791Z "digest": "sha256:b672a62688e0d0e84d8d42f755c9bbaecb8d320cd8e1e26ddc253da554b20611" 2025-08-14T21:27:35.9348970Z }, 2025-08-14T21:27:35.9349043Z { 2025-08-14T21:27:35.9349167Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:27:35.9349316Z "size": 304, 2025-08-14T21:27:35.9349470Z "digest": "sha256:df63d17f1f35ce165eb2992c2fe702ac2657dc86264aab3475c3ea05631eeaf3" 2025-08-14T21:27:35.9349636Z }, 2025-08-14T21:27:35.9349706Z { 2025-08-14T21:27:35.9349826Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:27:35.9349975Z "size": 32, 2025-08-14T21:27:35.9350125Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-08-14T21:27:35.9351325Z }, 2025-08-14T21:27:35.9351397Z { 2025-08-14T21:27:35.9351516Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:27:35.9351661Z "size": 108, 2025-08-14T21:27:35.9351814Z "digest": "sha256:adfd13fc143b61b5c176a2b53ab69e1ba8445cc90e9097a9edb19cc2645da60c" 2025-08-14T21:27:35.9351981Z }, 2025-08-14T21:27:35.9352051Z { 2025-08-14T21:27:35.9352168Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:27:35.9352314Z "size": 54145699, 2025-08-14T21:27:35.9352467Z "digest": "sha256:bc1598798397d700ab050fe72451c5e945990c29bdf9c596d6259109b980d883" 2025-08-14T21:27:35.9352629Z } 2025-08-14T21:27:35.9353660Z ] 2025-08-14T21:27:35.9353735Z } 2025-08-14T21:27:35.9353814Z + exit 0 2025-08-14T21:27:35.9377884Z ##[group]Run set -eux 2025-08-14T21:27:35.9378003Z set -eux 2025-08-14T21:27:35.9378323Z 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 2025-08-14T21:27:35.9384047Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:35.9384192Z env: 2025-08-14T21:27:35.9384281Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:35.9384410Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:27:35.9384579Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:27:35.9384737Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:27:35.9385107Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:27:35.9385473Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:27:35.9385583Z AWS_REGION: us-east-1 2025-08-14T21:27:35.9385763Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:27:35.9385912Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:27:35.9388091Z AWS_SESSION_TOKEN: *** 2025-08-14T21:27:35.9388195Z ##[endgroup] 2025-08-14T21:27:35.9415074Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-08-14T21:27:35.9415347Z /home/runner/_work/_temp/f9d9399c-4d04-4581-9361-71a7b4a245a2.sh: line 2: aws: command not found 2025-08-14T21:27:35.9416331Z + jq --raw-output .SecretString 2025-08-14T21:27:35.9416991Z + jq -r .docker_hub_readonly_token 2025-08-14T21:27:35.9417294Z + docker login --username pytorchbot --password-stdin 2025-08-14T21:27:35.9532212Z Error: Cannot perform an interactive login from a non TTY device 2025-08-14T21:27:35.9557131Z ##[error]Process completed with exit code 1. 2025-08-14T21:27:35.9650828Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-08-14T21:27:35.9651231Z with: 2025-08-14T21:27:35.9651665Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:35.9652198Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:35.9652419Z env: 2025-08-14T21:27:35.9652548Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:35.9652842Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:27:35.9653104Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:27:35.9656531Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:27:35.9657143Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:27:35.9657717Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:27:35.9657888Z AWS_REGION: us-east-1 2025-08-14T21:27:35.9658106Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:27:35.9658331Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:27:35.9661982Z AWS_SESSION_TOKEN: *** 2025-08-14T21:27:35.9662130Z ##[endgroup] 2025-08-14T21:27:35.9678305Z ##[group]Run set -x 2025-08-14T21:27:35.9678498Z set -x 2025-08-14T21:27:35.9678634Z set +e 2025-08-14T21:27:35.9678765Z  2025-08-14T21:27:35.9678894Z login() { 2025-08-14T21:27:35.9679177Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-08-14T21:27:35.9679477Z } 2025-08-14T21:27:35.9679602Z  2025-08-14T21:27:35.9679729Z retry () { 2025-08-14T21:27:35.9679897Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-08-14T21:27:35.9680073Z } 2025-08-14T21:27:35.9684005Z  2025-08-14T21:27:35.9684168Z retry login "${DOCKER_REGISTRY}" 2025-08-14T21:27:35.9684364Z  2025-08-14T21:27:35.9684806Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-08-14T21:27:35.9685229Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-08-14T21:27:35.9685463Z  2025-08-14T21:27:35.9685595Z set -e 2025-08-14T21:27:35.9685815Z # ignore output since only exit code is used for conditional 2025-08-14T21:27:35.9686127Z # only pull docker image if it's not available locally 2025-08-14T21:27:35.9686474Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-08-14T21:27:35.9686788Z  retry docker pull "${DOCKER_IMAGE}" 2025-08-14T21:27:35.9689847Z fi 2025-08-14T21:27:35.9694369Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:35.9694511Z env: 2025-08-14T21:27:35.9694606Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:35.9694738Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:27:35.9694915Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:27:35.9695077Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:27:35.9695461Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:27:35.9695835Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:27:35.9695947Z AWS_REGION: us-east-1 2025-08-14T21:27:35.9698686Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:27:35.9698838Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:27:35.9701087Z AWS_SESSION_TOKEN: *** 2025-08-14T21:27:35.9701382Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:35.9701997Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:35.9702150Z ##[endgroup] 2025-08-14T21:27:35.9730127Z + set +e 2025-08-14T21:27:35.9730462Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:35.9731938Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:35.9744509Z + aws ecr get-login-password --region us-east-1 2025-08-14T21:27:35.9744866Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:35.9745303Z /home/runner/_work/_temp/c7a526b0-1b97-4e08-b037-7d9949ea5b56.sh: line 5: aws: command not found 2025-08-14T21:27:35.9843427Z Error: Cannot perform an interactive login from a non TTY device 2025-08-14T21:27:35.9856963Z + sleep 1 2025-08-14T21:27:36.9869613Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:36.9871527Z + aws ecr get-login-password --region us-east-1 2025-08-14T21:27:36.9872190Z /home/runner/_work/_temp/c7a526b0-1b97-4e08-b037-7d9949ea5b56.sh: line 5: aws: command not found 2025-08-14T21:27:36.9872978Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:36.9967919Z Error: Cannot perform an interactive login from a non TTY device 2025-08-14T21:27:36.9991225Z + sleep 2 2025-08-14T21:27:38.9993012Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:38.9998391Z + aws ecr get-login-password --region us-east-1 2025-08-14T21:27:38.9998747Z /home/runner/_work/_temp/c7a526b0-1b97-4e08-b037-7d9949ea5b56.sh: line 5: aws: command not found 2025-08-14T21:27:38.9999053Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:39.0104602Z Error: Cannot perform an interactive login from a non TTY device 2025-08-14T21:27:39.0124228Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:39.0124892Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-08-14T21:27:39.5323406Z + IMAGE_SIZE=34596.62600708008 2025-08-14T21:27:39.5333907Z + echo 'Compressed size of image in MB: 34596.62600708008' 2025-08-14T21:27:39.5334191Z + set -e 2025-08-14T21:27:39.5334788Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:39.5335441Z Compressed size of image in MB: 34596.62600708008 2025-08-14T21:27:39.5481790Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:39.5482514Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:40.0762075Z pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe: Pulling from pytorch/ci-image 2025-08-14T21:27:40.0762885Z 660ffc76f83b: Pulling fs layer 2025-08-14T21:27:40.0763138Z 92bfd659ef8b: Pulling fs layer 2025-08-14T21:27:40.0763396Z f0d15f41a3d0: Pulling fs layer 2025-08-14T21:27:40.0763631Z 6e41a7f8bbe4: Pulling fs layer 2025-08-14T21:27:40.0763858Z 1a918a61ab6c: Pulling fs layer 2025-08-14T21:27:40.0764079Z d270f0d3863f: Pulling fs layer 2025-08-14T21:27:40.0764300Z 5c8b5add11b0: Pulling fs layer 2025-08-14T21:27:40.0764519Z 8749a128a59f: Pulling fs layer 2025-08-14T21:27:40.0764744Z f854990b300b: Pulling fs layer 2025-08-14T21:27:40.0764968Z f5ee8fcbf103: Pulling fs layer 2025-08-14T21:27:40.0765196Z a10b9d4967ee: Pulling fs layer 2025-08-14T21:27:40.0765415Z 5c0d4173d03e: Pulling fs layer 2025-08-14T21:27:40.0765631Z 6e41a7f8bbe4: Waiting 2025-08-14T21:27:40.0765852Z fed85afe92aa: Pulling fs layer 2025-08-14T21:27:40.0766077Z 52302670619d: Pulling fs layer 2025-08-14T21:27:40.0766304Z 1a918a61ab6c: Waiting 2025-08-14T21:27:40.0766508Z 42e86e9c5c3a: Pulling fs layer 2025-08-14T21:27:40.0767017Z 4dc28c0c5d18: Pulling fs layer 2025-08-14T21:27:40.0767240Z f854990b300b: Waiting 2025-08-14T21:27:40.0767448Z 0ca33291d1fa: Pulling fs layer 2025-08-14T21:27:40.0767670Z da79ec9fb56c: Pulling fs layer 2025-08-14T21:27:40.0767887Z f5ee8fcbf103: Waiting 2025-08-14T21:27:40.0768091Z 325dc2848ba0: Pulling fs layer 2025-08-14T21:27:40.0768304Z a10b9d4967ee: Waiting 2025-08-14T21:27:40.0768506Z df5cd943c373: Pulling fs layer 2025-08-14T21:27:40.0768730Z 4db9a41536f5: Pulling fs layer 2025-08-14T21:27:40.0768949Z b05d7c562d5c: Pulling fs layer 2025-08-14T21:27:40.0769169Z 2a6c6a5a7fe3: Pulling fs layer 2025-08-14T21:27:40.0769394Z 9853a939cabe: Pulling fs layer 2025-08-14T21:27:40.0783210Z 4eb8f1f36a6f: Pulling fs layer 2025-08-14T21:27:40.0784161Z 5c0d4173d03e: Waiting 2025-08-14T21:27:40.0784469Z 988fbe4e5657: Pulling fs layer 2025-08-14T21:27:40.0784683Z d270f0d3863f: Waiting 2025-08-14T21:27:40.0784873Z 59679654be53: Pulling fs layer 2025-08-14T21:27:40.0785072Z 5c8b5add11b0: Waiting 2025-08-14T21:27:40.0785291Z 52302670619d: Waiting 2025-08-14T21:27:40.0785463Z 8749a128a59f: Waiting 2025-08-14T21:27:40.0785640Z 9853a939cabe: Waiting 2025-08-14T21:27:40.0785810Z 4eb8f1f36a6f: Waiting 2025-08-14T21:27:40.0785984Z fed85afe92aa: Waiting 2025-08-14T21:27:40.0786162Z 42e86e9c5c3a: Waiting 2025-08-14T21:27:40.0786337Z 59679654be53: Waiting 2025-08-14T21:27:40.0786506Z 2a6c6a5a7fe3: Waiting 2025-08-14T21:27:40.0786674Z 4dc28c0c5d18: Waiting 2025-08-14T21:27:40.0786864Z 3c2d7fc49b16: Pulling fs layer 2025-08-14T21:27:40.0787065Z da79ec9fb56c: Waiting 2025-08-14T21:27:40.0787292Z 325dc2848ba0: Waiting 2025-08-14T21:27:40.0787464Z 988fbe4e5657: Waiting 2025-08-14T21:27:40.0787654Z d55c2f227838: Pulling fs layer 2025-08-14T21:27:40.0787861Z 03d6b4374ffa: Pulling fs layer 2025-08-14T21:27:40.0788058Z 4db9a41536f5: Waiting 2025-08-14T21:27:40.0788247Z 0f8e385a08d8: Pulling fs layer 2025-08-14T21:27:40.0788440Z b05d7c562d5c: Waiting 2025-08-14T21:27:40.0788620Z 180fa33de95d: Pulling fs layer 2025-08-14T21:27:40.0788816Z d55c2f227838: Waiting 2025-08-14T21:27:40.0788989Z 0ca33291d1fa: Waiting 2025-08-14T21:27:40.0789552Z 0f8e385a08d8: Waiting 2025-08-14T21:27:40.0789724Z 3c2d7fc49b16: Waiting 2025-08-14T21:27:40.0789907Z 1237e0fb7554: Pulling fs layer 2025-08-14T21:27:40.0790110Z f610669ab303: Pulling fs layer 2025-08-14T21:27:40.0790312Z 731933086505: Pulling fs layer 2025-08-14T21:27:40.0790504Z 1237e0fb7554: Waiting 2025-08-14T21:27:40.0790676Z df5cd943c373: Waiting 2025-08-14T21:27:40.0790848Z 03d6b4374ffa: Waiting 2025-08-14T21:27:40.0791030Z a63a18666963: Pulling fs layer 2025-08-14T21:27:40.0791236Z 26547c98f8ab: Pulling fs layer 2025-08-14T21:27:40.0791406Z 180fa33de95d: Waiting 2025-08-14T21:27:40.0791564Z 0e60af5e7f42: Pulling fs layer 2025-08-14T21:27:40.0791737Z c248081dfc75: Pulling fs layer 2025-08-14T21:27:40.0791909Z 731933086505: Waiting 2025-08-14T21:27:40.0792063Z 0e60af5e7f42: Waiting 2025-08-14T21:27:40.0792213Z f610669ab303: Waiting 2025-08-14T21:27:40.0792365Z 26547c98f8ab: Waiting 2025-08-14T21:27:40.0792520Z a63a18666963: Waiting 2025-08-14T21:27:40.0792671Z 97a6c299b273: Pulling fs layer 2025-08-14T21:27:40.0793022Z c248081dfc75: Waiting 2025-08-14T21:27:40.0793397Z 0d048ba0feb8: Pulling fs layer 2025-08-14T21:27:40.0793686Z 6c2fd4c1021a: Pulling fs layer 2025-08-14T21:27:40.0793923Z 1a5448de2765: Pulling fs layer 2025-08-14T21:27:40.0794524Z 0d048ba0feb8: Waiting 2025-08-14T21:27:40.0794742Z 5e9becdabdf9: Pulling fs layer 2025-08-14T21:27:40.0794959Z 97a6c299b273: Waiting 2025-08-14T21:27:40.0803230Z 71ce54a6bab9: Pulling fs layer 2025-08-14T21:27:40.0803373Z 1a5448de2765: Waiting 2025-08-14T21:27:40.0803502Z a9caecb39e46: Pulling fs layer 2025-08-14T21:27:40.0803634Z 71ce54a6bab9: Waiting 2025-08-14T21:27:40.0803756Z 066586f389fb: Pulling fs layer 2025-08-14T21:27:40.0803897Z da4f9a8100cf: Pulling fs layer 2025-08-14T21:27:40.0804027Z f6fe93848ce1: Pulling fs layer 2025-08-14T21:27:40.0804162Z 066586f389fb: Waiting 2025-08-14T21:27:40.0804278Z a9caecb39e46: Waiting 2025-08-14T21:27:40.0804528Z b672a62688e0: Pulling fs layer 2025-08-14T21:27:40.0804663Z da4f9a8100cf: Waiting 2025-08-14T21:27:40.0804786Z df63d17f1f35: Pulling fs layer 2025-08-14T21:27:40.0804923Z 4f4fb700ef54: Pulling fs layer 2025-08-14T21:27:40.0805044Z f6fe93848ce1: Waiting 2025-08-14T21:27:40.0805155Z b672a62688e0: Waiting 2025-08-14T21:27:40.0805284Z adfd13fc143b: Pulling fs layer 2025-08-14T21:27:40.0805428Z bc1598798397: Pulling fs layer 2025-08-14T21:27:40.0805557Z 4f4fb700ef54: Waiting 2025-08-14T21:27:40.0805674Z bc1598798397: Waiting 2025-08-14T21:27:40.0805794Z adfd13fc143b: Waiting 2025-08-14T21:27:40.2748813Z 92bfd659ef8b: Verifying Checksum 2025-08-14T21:27:40.2749268Z 92bfd659ef8b: Download complete 2025-08-14T21:27:40.4774869Z 6e41a7f8bbe4: Verifying Checksum 2025-08-14T21:27:40.4775249Z 6e41a7f8bbe4: Download complete 2025-08-14T21:27:40.5596348Z 660ffc76f83b: Verifying Checksum 2025-08-14T21:27:40.5605269Z 660ffc76f83b: Download complete 2025-08-14T21:27:40.7031229Z 1a918a61ab6c: Download complete 2025-08-14T21:27:40.7771340Z d270f0d3863f: Verifying Checksum 2025-08-14T21:27:40.7772142Z d270f0d3863f: Download complete 2025-08-14T21:27:41.0627241Z 8749a128a59f: Verifying Checksum 2025-08-14T21:27:41.0627434Z 8749a128a59f: Download complete 2025-08-14T21:27:41.1118104Z 660ffc76f83b: Pull complete 2025-08-14T21:27:41.1215817Z 92bfd659ef8b: Pull complete 2025-08-14T21:27:41.2851808Z f854990b300b: Download complete 2025-08-14T21:27:41.5042417Z f5ee8fcbf103: Download complete 2025-08-14T21:27:42.0037155Z 5c8b5add11b0: Verifying Checksum 2025-08-14T21:27:42.0037391Z 5c8b5add11b0: Download complete 2025-08-14T21:27:42.2155008Z 5c0d4173d03e: Download complete 2025-08-14T21:27:42.5173054Z fed85afe92aa: Verifying Checksum 2025-08-14T21:27:42.5173440Z fed85afe92aa: Download complete 2025-08-14T21:27:42.7236297Z 52302670619d: Verifying Checksum 2025-08-14T21:27:42.7236649Z 52302670619d: Download complete 2025-08-14T21:27:42.9360863Z 42e86e9c5c3a: Verifying Checksum 2025-08-14T21:27:42.9371024Z 42e86e9c5c3a: Download complete 2025-08-14T21:27:43.1428007Z 4dc28c0c5d18: Download complete 2025-08-14T21:27:43.4229644Z f0d15f41a3d0: Verifying Checksum 2025-08-14T21:27:43.4230343Z f0d15f41a3d0: Download complete 2025-08-14T21:27:43.6297430Z da79ec9fb56c: Download complete 2025-08-14T21:27:43.8665126Z 325dc2848ba0: Download complete 2025-08-14T21:27:47.7088070Z f0d15f41a3d0: Pull complete 2025-08-14T21:27:47.7170839Z 6e41a7f8bbe4: Pull complete 2025-08-14T21:27:47.7267399Z 1a918a61ab6c: Pull complete 2025-08-14T21:27:47.7356749Z d270f0d3863f: Pull complete 2025-08-14T21:27:48.8901534Z 0ca33291d1fa: Verifying Checksum 2025-08-14T21:27:48.8901761Z 0ca33291d1fa: Download complete 2025-08-14T21:27:48.9069518Z 5c8b5add11b0: Pull complete 2025-08-14T21:27:48.9161080Z 8749a128a59f: Pull complete 2025-08-14T21:27:48.9249407Z f854990b300b: Pull complete 2025-08-14T21:27:48.9344448Z f5ee8fcbf103: Pull complete 2025-08-14T21:27:49.0890086Z 4db9a41536f5: Download complete 2025-08-14T21:27:49.2828030Z b05d7c562d5c: Verifying 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2025-08-14T21:34:56.6640708Z Digest: sha256:26220611dadb9f93b140ce4e0373f6f2155144d54eb630d66505a6fc080a99d5 2025-08-14T21:34:56.6657738Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:34:56.6673878Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:34:56.6791112Z Prepare all required actions 2025-08-14T21:34:56.6835830Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-08-14T21:34:56.6836001Z with: 2025-08-14T21:34:56.6836373Z github-token: *** 2025-08-14T21:34:56.6836478Z env: 2025-08-14T21:34:56.6836579Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:56.6836726Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:34:56.6836910Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:34:56.6837086Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:34:56.6839768Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:34:56.6840159Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:34:56.6840450Z AWS_REGION: us-east-1 2025-08-14T21:34:56.6840632Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:34:56.6840808Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:34:56.6843176Z AWS_SESSION_TOKEN: *** 2025-08-14T21:34:56.6843280Z ##[endgroup] 2025-08-14T21:34:56.6858889Z ##[group]Run set -eux 2025-08-14T21:34:56.6859024Z set -eux 2025-08-14T21:34:56.6859190Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-08-14T21:34:56.6865669Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:34:56.6865815Z env: 2025-08-14T21:34:56.6868308Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:56.6868441Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:34:56.6868618Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:34:56.6868784Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:34:56.6869180Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:34:56.6869569Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:34:56.6869682Z AWS_REGION: us-east-1 2025-08-14T21:34:56.6869838Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:34:56.6870125Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:34:56.6872364Z AWS_SESSION_TOKEN: *** 2025-08-14T21:34:56.6874789Z GITHUB_TOKEN: *** 2025-08-14T21:34:56.6874893Z ##[endgroup] 2025-08-14T21:34:56.6909623Z + python3 .github/scripts/get_workflow_job_id.py 16976338999 linux.rocm.gpu.gfx942.1-ccq8d-runner-bpn7b 2025-08-14T21:34:58.2334849Z Setting output job-id=48128599003 2025-08-14T21:34:58.2343383Z Setting output job-name=rocm-py3_10-periodic-dynamo-benchmarks / test (dynamic_aot_eager_torchbench, 1, 2, linux.rocm.gpu.gfx942.1) 2025-08-14T21:34:58.2467984Z Prepare all required actions 2025-08-14T21:34:58.2468299Z Getting action download info 2025-08-14T21:34:58.4594811Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-08-14T21:34:58.9443779Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-08-14T21:34:59.4300506Z ##[group]Run ./.github/actions/download-build-artifacts 2025-08-14T21:34:59.4300672Z with: 2025-08-14T21:34:59.4300776Z name: linux-jammy-rocm-py3_10 2025-08-14T21:34:59.4300894Z s3-bucket: gha-artifacts 2025-08-14T21:34:59.4306565Z env: 2025-08-14T21:34:59.4306673Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:59.4306815Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:34:59.4306994Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:34:59.4307161Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:34:59.4307580Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:34:59.4307981Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:34:59.4308090Z AWS_REGION: us-east-1 2025-08-14T21:34:59.4308304Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:34:59.4308514Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:34:59.4313088Z AWS_SESSION_TOKEN: *** 2025-08-14T21:34:59.4313203Z ##[endgroup] 2025-08-14T21:34:59.4355168Z ##[group]Run seemethere/download-artifact-s3@v4 2025-08-14T21:34:59.4361542Z with: 2025-08-14T21:34:59.4361730Z name: linux-jammy-rocm-py3_10 2025-08-14T21:34:59.4361889Z s3-bucket: gha-artifacts 2025-08-14T21:34:59.4362024Z region: us-east-1 2025-08-14T21:34:59.4362131Z env: 2025-08-14T21:34:59.4362247Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:59.4362403Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:34:59.4362637Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:34:59.4362991Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:34:59.4363629Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:34:59.4364073Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:34:59.4366589Z AWS_REGION: us-east-1 2025-08-14T21:34:59.4366846Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:34:59.4367000Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:34:59.4369230Z AWS_SESSION_TOKEN: *** 2025-08-14T21:34:59.4369337Z ##[endgroup] 2025-08-14T21:34:59.6931775Z (node:4797) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-08-14T21:34:59.6932525Z 2025-08-14T21:34:59.6932639Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-08-14T21:34:59.6933254Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-08-14T21:34:59.6933569Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-08-14T21:34:59.8023412Z Found 1 objects with prefix pytorch/pytorch/16976338999/linux-jammy-rocm-py3_10/ 2025-08-14T21:34:59.8024165Z Starting download (1/1): /home/runner/_work/pytorch/pytorch/artifacts.zip 2025-08-14T21:35:14.0014754Z Finished download (1/1): /home/runner/_work/pytorch/pytorch/artifacts.zip 2025-08-14T21:35:14.0027995Z Artifact download has finished successfully 2025-08-14T21:35:14.0289357Z ##[group]Run unzip -o artifacts.zip 2025-08-14T21:35:14.0289582Z unzip -o artifacts.zip 2025-08-14T21:35:14.0298016Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:14.0298233Z env: 2025-08-14T21:35:14.0298365Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:14.0298559Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:14.0299028Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:14.0299271Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:14.0302861Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:14.0303437Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:14.0303599Z AWS_REGION: us-east-1 2025-08-14T21:35:14.0303821Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:14.0304032Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:14.0307496Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:14.0307644Z ##[endgroup] 2025-08-14T21:35:14.0373635Z Archive: artifacts.zip 2025-08-14T21:35:14.0373770Z creating: dist/ 2025-08-14T21:35:17.2295066Z inflating: dist/torch-2.9.0a0+git1fc683c-cp310-cp310-linux_x86_64.whl 2025-08-14T21:35:17.2379749Z inflating: dist/.ninja_log 2025-08-14T21:35:17.2381088Z creating: build/custom_test_artifacts/ 2025-08-14T21:35:17.2412358Z creating: build/custom_test_artifacts/custom-op-build/ 2025-08-14T21:35:17.2412565Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/ 2025-08-14T21:35:17.2412894Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/pkgRedirects/ 2025-08-14T21:35:17.2413585Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeConfigureLog.yaml 2025-08-14T21:35:17.2414250Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/ 2025-08-14T21:35:17.2415843Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CMakeSystem.cmake 2025-08-14T21:35:17.2416333Z creating: 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--device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:21.9848422Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:21.9848648Z AWS_REGION: us-east-1 2025-08-14T21:35:21.9848834Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:21.9848981Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:21.9851347Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:21.9853747Z ##[endgroup] 2025-08-14T21:35:22.1500337Z ##[group]Run df -H 2025-08-14T21:35:22.1500444Z df -H 2025-08-14T21:35:22.1506934Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:22.1507079Z env: 2025-08-14T21:35:22.1507169Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:22.1507299Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:22.1507469Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:22.1507630Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:22.1508010Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:22.1508389Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:22.1508500Z AWS_REGION: us-east-1 2025-08-14T21:35:22.1508662Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:22.1508817Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:22.1512693Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:22.1512889Z ##[endgroup] 2025-08-14T21:35:22.1543491Z Filesystem Size Used Avail Use% Mounted on 2025-08-14T21:35:22.1547252Z overlay 2.2T 379G 1.8T 18% / 2025-08-14T21:35:22.1552510Z tmpfs 68M 0 68M 0% /dev 2025-08-14T21:35:22.1552656Z /dev/vda1 2.2T 379G 1.8T 18% /run 2025-08-14T21:35:22.1552885Z shm 68M 4.1k 68M 1% /dev/shm 2025-08-14T21:35:22.1553070Z tmpfs 1.4T 13k 1.4T 1% /run/secrets/kubernetes.io/serviceaccount 2025-08-14T21:35:22.1553249Z tmpfs 677G 0 677G 0% /proc/acpi 2025-08-14T21:35:22.1553396Z tmpfs 677G 0 677G 0% /proc/scsi 2025-08-14T21:35:22.1553558Z tmpfs 677G 0 677G 0% /sys/firmware 2025-08-14T21:35:22.1575074Z Prepare all required actions 2025-08-14T21:35:22.1575314Z Getting action download info 2025-08-14T21:35:22.3218221Z ##[group]Run ./.github/actions/download-td-artifacts 2025-08-14T21:35:22.3218530Z with: 2025-08-14T21:35:22.3218614Z env: 2025-08-14T21:35:22.3218705Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:22.3218839Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:22.3219013Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:22.3219179Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:22.3219564Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:22.3219933Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:22.3220042Z AWS_REGION: us-east-1 2025-08-14T21:35:22.3220235Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:22.3222072Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:22.3224391Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:22.3224491Z ##[endgroup] 2025-08-14T21:35:22.3245363Z ##[group]Run seemethere/download-artifact-s3@v4 2025-08-14T21:35:22.3245489Z with: 2025-08-14T21:35:22.3245572Z name: td_results 2025-08-14T21:35:22.3245665Z s3-bucket: gha-artifacts 2025-08-14T21:35:22.3245768Z region: us-east-1 2025-08-14T21:35:22.3245853Z env: 2025-08-14T21:35:22.3245937Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:22.3247980Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:22.3248160Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:22.3248321Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:22.3248696Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:22.3249067Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:22.3249180Z AWS_REGION: us-east-1 2025-08-14T21:35:22.3249309Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:22.3249461Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:22.3251779Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:22.3251877Z ##[endgroup] 2025-08-14T21:35:22.5803295Z (node:4820) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-08-14T21:35:22.5803595Z 2025-08-14T21:35:22.5803722Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-08-14T21:35:22.5804039Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-08-14T21:35:22.5804350Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-08-14T21:35:22.6808221Z Found 0 objects with prefix pytorch/pytorch/16976338999/td_results/ 2025-08-14T21:35:22.6811645Z Artifact download has finished successfully 2025-08-14T21:35:22.7022309Z ##[group]Run mkdir -p .additional_ci_files 2025-08-14T21:35:22.7022479Z mkdir -p .additional_ci_files 2025-08-14T21:35:22.7022654Z mv td_results.json .additional_ci_files/td_results.json || true 2025-08-14T21:35:22.7028306Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:22.7028463Z env: 2025-08-14T21:35:22.7028562Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:22.7028697Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:22.7028878Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:22.7029048Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:22.7029436Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:22.7029802Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:22.7029912Z AWS_REGION: us-east-1 2025-08-14T21:35:22.7030181Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:22.7030331Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:22.7032537Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:22.7032796Z ##[endgroup] 2025-08-14T21:35:22.7073672Z mv: cannot stat 'td_results.json': No such file or directory 2025-08-14T21:35:22.7125876Z ##[group]Run .github/scripts/parse_ref.py 2025-08-14T21:35:22.7126129Z .github/scripts/parse_ref.py 2025-08-14T21:35:22.7135597Z shell: /usr/bin/bash -e {0} 2025-08-14T21:35:22.7135764Z env: 2025-08-14T21:35:22.7135892Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:22.7136086Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:22.7136350Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:22.7136589Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:22.7137160Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:22.7137718Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:22.7137886Z AWS_REGION: us-east-1 2025-08-14T21:35:22.7138157Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:22.7138402Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:22.7141887Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:22.7142041Z ##[endgroup] 2025-08-14T21:35:22.7271087Z Setting output branch=main 2025-08-14T21:35:22.7379449Z Prepare all required actions 2025-08-14T21:35:22.7379779Z Getting action download info 2025-08-14T21:35:22.8935093Z ##[group]Run ./.github/actions/filter-test-configs 2025-08-14T21:35:22.8935321Z with: 2025-08-14T21:35:22.8935712Z github-token: *** 2025-08-14T21:35:22.8938270Z test-matrix: {"include": [{"config": "dynamo_eager_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamo_eager_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamo_eager_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamo_eager_timm", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamo_eager_timm", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "aot_eager_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "aot_eager_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "aot_eager_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "aot_eager_timm", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "aot_eager_timm", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamic_aot_eager_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamic_aot_eager_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamic_aot_eager_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamic_aot_eager_timm", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamic_aot_eager_timm", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}]} 2025-08-14T21:35:22.8941160Z job-name: rocm-py3_10-periodic-dynamo-benchmarks / test (dynamic_aot_eager_torchbench, 1, 2, linux.rocm.gpu.gfx942.1) 2025-08-14T21:35:22.8941498Z env: 2025-08-14T21:35:22.8941626Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:22.8941816Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:22.8942070Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:22.8942306Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:22.8943027Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:22.8943573Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:22.8943733Z AWS_REGION: us-east-1 2025-08-14T21:35:22.8943902Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:22.8944289Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:22.8947805Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:22.8947949Z ##[endgroup] 2025-08-14T21:35:22.8976703Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-14T21:35:22.8976950Z with: 2025-08-14T21:35:22.8977095Z shell: bash 2025-08-14T21:35:22.8977269Z timeout_minutes: 10 2025-08-14T21:35:22.8977457Z max_attempts: 5 2025-08-14T21:35:22.8977632Z retry_wait_seconds: 30 2025-08-14T21:35:22.8978115Z 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 2025-08-14T21:35:22.8978592Z polling_interval_seconds: 1 2025-08-14T21:35:22.8978785Z warning_on_retry: true 2025-08-14T21:35:22.8979001Z continue_on_error: false 2025-08-14T21:35:22.8979186Z env: 2025-08-14T21:35:22.8979368Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:22.8979599Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:22.8979889Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:22.8980184Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:22.8980944Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:22.8981538Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:22.8981757Z AWS_REGION: us-east-1 2025-08-14T21:35:22.8982003Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:22.8982252Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:22.8985804Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:22.8986085Z GITHUB_TOKEN: *** 2025-08-14T21:35:22.8986897Z ##[endgroup] 2025-08-14T21:35:22.9495526Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-08-14T21:35:23.0985590Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T21:35:23.2826664Z Collecting requests==2.27.1 2025-08-14T21:35:23.3629589Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-08-14T21:35:23.3954795Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 63.1/63.1 KB 1.8 MB/s eta 0:00:00 2025-08-14T21:35:23.4710260Z Collecting pyyaml==6.0.2 2025-08-14T21:35:23.4892004Z Downloading PyYAML-6.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (751 kB) 2025-08-14T21:35:23.5491176Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 751.2/751.2 KB 13.1 MB/s eta 0:00:00 2025-08-14T21:35:23.5956891Z Collecting idna<4,>=2.5 2025-08-14T21:35:23.6154050Z Downloading idna-3.10-py3-none-any.whl (70 kB) 2025-08-14T21:35:23.6228262Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 70.4/70.4 KB 13.1 MB/s eta 0:00:00 2025-08-14T21:35:23.6765445Z Collecting certifi>=2017.4.17 2025-08-14T21:35:23.6954274Z Downloading certifi-2025.8.3-py3-none-any.whl (161 kB) 2025-08-14T21:35:23.7032420Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 161.2/161.2 KB 26.6 MB/s eta 0:00:00 2025-08-14T21:35:23.7689669Z Collecting urllib3<1.27,>=1.21.1 2025-08-14T21:35:23.7884440Z Downloading urllib3-1.26.20-py2.py3-none-any.whl (144 kB) 2025-08-14T21:35:23.8001513Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 144.2/144.2 KB 12.3 MB/s eta 0:00:00 2025-08-14T21:35:23.9458910Z Collecting charset-normalizer~=2.0.0 2025-08-14T21:35:23.9704137Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-08-14T21:35:24.0315621Z Installing collected packages: urllib3, pyyaml, idna, charset-normalizer, certifi, requests 2025-08-14T21:35:24.1450594Z WARNING: The script normalizer is installed in '/home/runner/.local/bin' which is not on PATH. 2025-08-14T21:35:24.1451210Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-08-14T21:35:24.1753340Z Successfully installed certifi-2025.8.3 charset-normalizer-2.0.12 idna-3.10 pyyaml-6.0.2 requests-2.27.1 urllib3-1.26.20 2025-08-14T21:35:24.9514762Z Command completed after 1 attempt(s). 2025-08-14T21:35:24.9587356Z ##[group]Run set -x 2025-08-14T21:35:24.9587531Z set -x 2025-08-14T21:35:24.9589792Z  2025-08-14T21:35:24.9590023Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-08-14T21:35:24.9590318Z # in runner workspace 2025-08-14T21:35:24.9590547Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-08-14T21:35:24.9597777Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:24.9597993Z env: 2025-08-14T21:35:24.9598124Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:24.9598317Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:24.9598576Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:24.9598819Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:24.9601645Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:24.9602233Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:24.9602399Z AWS_REGION: us-east-1 2025-08-14T21:35:24.9602610Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:24.9603158Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:24.9606710Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:24.9606859Z ##[endgroup] 2025-08-14T21:35:24.9649704Z + python3 /home/runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-08-14T21:35:24.9724137Z Setting output branch=main 2025-08-14T21:35:24.9763194Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-08-14T21:35:24.9763480Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-08-14T21:35:24.9763682Z echo "Job name: ${JOB_NAME}" 2025-08-14T21:35:24.9763860Z  2025-08-14T21:35:24.9764086Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-08-14T21:35:24.9764377Z # in runner workspace 2025-08-14T21:35:24.9764617Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-08-14T21:35:24.9764890Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-08-14T21:35:24.9765104Z  --job-name "${JOB_NAME}" \ 2025-08-14T21:35:24.9767719Z  --test-matrix "{"include": [{"config": "dynamo_eager_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamo_eager_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamo_eager_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamo_eager_timm", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamo_eager_timm", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "aot_eager_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "aot_eager_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "aot_eager_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "aot_eager_timm", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "aot_eager_timm", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamic_aot_eager_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamic_aot_eager_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamic_aot_eager_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamic_aot_eager_timm", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamic_aot_eager_timm", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}]}" \ 2025-08-14T21:35:24.9811641Z  --selected-test-configs "" \ 2025-08-14T21:35:24.9811932Z  --pr-number "${PR_NUMBER}" \ 2025-08-14T21:35:24.9812355Z  --tag "${TAG}" \ 2025-08-14T21:35:24.9812528Z  --event-name "${EVENT_NAME}" \ 2025-08-14T21:35:24.9812821Z  --schedule "${SCHEDULE}" \ 2025-08-14T21:35:24.9813010Z  --branch "${HEAD_BRANCH}" 2025-08-14T21:35:24.9819779Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:24.9819991Z env: 2025-08-14T21:35:24.9820121Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:24.9820309Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:24.9823622Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:24.9823877Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:24.9824433Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:24.9824973Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:24.9825141Z AWS_REGION: us-east-1 2025-08-14T21:35:24.9825370Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:24.9825579Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:24.9829079Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:24.9829542Z GITHUB_TOKEN: *** 2025-08-14T21:35:24.9829848Z JOB_NAME: rocm-py3_10-periodic-dynamo-benchmarks / test (dynamic_aot_eager_torchbench, 1, 2, linux.rocm.gpu.gfx942.1) 2025-08-14T21:35:24.9830177Z PR_NUMBER: 2025-08-14T21:35:24.9832590Z TAG: 2025-08-14T21:35:24.9832827Z EVENT_NAME: schedule 2025-08-14T21:35:24.9832976Z SCHEDULE: 45 0,4,8,12,16,20 * * 1-5 2025-08-14T21:35:24.9833141Z HEAD_BRANCH: main 2025-08-14T21:35:24.9833272Z ##[endgroup] 2025-08-14T21:35:24.9860628Z Workflow: inductor-periodic 2025-08-14T21:35:24.9861078Z Job name: rocm-py3_10-periodic-dynamo-benchmarks / test (dynamic_aot_eager_torchbench, 1, 2, linux.rocm.gpu.gfx942.1) 2025-08-14T21:35:25.2661597Z Setting output keep-going=True 2025-08-14T21:35:25.2662270Z Setting output ci-verbose-test-logs=False 2025-08-14T21:35:25.2662597Z Setting output ci-test-showlocals=False 2025-08-14T21:35:25.2662898Z Setting output ci-no-test-timeout=False 2025-08-14T21:35:25.2663097Z Setting output ci-no-td=False 2025-08-14T21:35:25.2663305Z Setting output ci-td-distributed=False 2025-08-14T21:35:25.2663506Z Setting output is-unstable=False 2025-08-14T21:35:25.2663698Z Setting output reenabled-issues= 2025-08-14T21:35:25.2666399Z Setting output test-matrix={"include": [{"config": "dynamo_eager_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamo_eager_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamo_eager_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamo_eager_timm", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamo_eager_timm", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "aot_eager_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "aot_eager_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "aot_eager_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "aot_eager_timm", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "aot_eager_timm", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamic_aot_eager_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamic_aot_eager_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamic_aot_eager_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamic_aot_eager_timm", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamic_aot_eager_timm", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}]} 2025-08-14T21:35:25.2669535Z Setting output is-test-matrix-empty=False 2025-08-14T21:35:25.2844129Z ##[group]Run echo "Filtered matrix:" 2025-08-14T21:35:25.2852222Z echo "Filtered matrix:" 2025-08-14T21:35:25.2854266Z echo "{"include": [{"config": "dynamo_eager_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamo_eager_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamo_eager_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamo_eager_timm", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamo_eager_timm", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "aot_eager_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "aot_eager_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "aot_eager_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "aot_eager_timm", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "aot_eager_timm", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamic_aot_eager_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamic_aot_eager_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamic_aot_eager_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamic_aot_eager_timm", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamic_aot_eager_timm", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}]}" 2025-08-14T21:35:25.2856092Z  2025-08-14T21:35:25.2856189Z echo 2025-08-14T21:35:25.2856317Z echo "Is the current job unstable? False" 2025-08-14T21:35:25.2856464Z  2025-08-14T21:35:25.2856567Z echo 2025-08-14T21:35:25.2856698Z echo "Is keep-going label set? True" 2025-08-14T21:35:25.2856840Z  2025-08-14T21:35:25.2856942Z echo 2025-08-14T21:35:25.2857057Z echo "Reenabled issues? " 2025-08-14T21:35:25.2863643Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:25.2863809Z env: 2025-08-14T21:35:25.2863922Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:25.2864061Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:25.2864237Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:25.2864408Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:25.2864792Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:25.2865160Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:25.2865281Z AWS_REGION: us-east-1 2025-08-14T21:35:25.2865501Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:25.2865654Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:25.2867864Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:25.2867973Z ##[endgroup] 2025-08-14T21:35:25.2923595Z Filtered matrix: 2025-08-14T21:35:25.2926510Z {include: [{config: dynamo_eager_torchbench, shard: 1, num_shards: 2, runner: linux.rocm.gpu.gfx942.1}, {config: dynamo_eager_torchbench, shard: 2, num_shards: 2, runner: linux.rocm.gpu.gfx942.1}, {config: dynamo_eager_huggingface, shard: 1, num_shards: 1, runner: linux.rocm.gpu.gfx942.1}, {config: dynamo_eager_timm, shard: 1, num_shards: 2, runner: linux.rocm.gpu.gfx942.1}, {config: dynamo_eager_timm, shard: 2, num_shards: 2, runner: linux.rocm.gpu.gfx942.1}, {config: aot_eager_torchbench, shard: 1, num_shards: 2, runner: linux.rocm.gpu.gfx942.1}, {config: aot_eager_torchbench, shard: 2, num_shards: 2, runner: linux.rocm.gpu.gfx942.1}, {config: aot_eager_huggingface, shard: 1, num_shards: 1, runner: linux.rocm.gpu.gfx942.1}, {config: aot_eager_timm, shard: 1, num_shards: 2, runner: linux.rocm.gpu.gfx942.1}, {config: aot_eager_timm, shard: 2, num_shards: 2, runner: linux.rocm.gpu.gfx942.1}, {config: dynamic_aot_eager_torchbench, shard: 1, num_shards: 2, runner: linux.rocm.gpu.gfx942.1}, {config: dynamic_aot_eager_torchbench, shard: 2, num_shards: 2, runner: linux.rocm.gpu.gfx942.1}, {config: dynamic_aot_eager_huggingface, shard: 1, num_shards: 1, runner: linux.rocm.gpu.gfx942.1}, {config: dynamic_aot_eager_timm, shard: 1, num_shards: 2, runner: linux.rocm.gpu.gfx942.1}, {config: dynamic_aot_eager_timm, shard: 2, num_shards: 2, runner: linux.rocm.gpu.gfx942.1}]} 2025-08-14T21:35:25.2929529Z 2025-08-14T21:35:25.2929614Z Is the current job unstable? False 2025-08-14T21:35:25.2929733Z 2025-08-14T21:35:25.2929813Z Is keep-going label set? True 2025-08-14T21:35:25.2929930Z 2025-08-14T21:35:25.2930004Z Reenabled issues? 2025-08-14T21:35:25.2989082Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-08-14T21:35:25.2989434Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-08-14T21:35:25.3001766Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:25.3001989Z env: 2025-08-14T21:35:25.3002128Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:25.3002319Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:25.3002574Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:25.3002920Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:25.3003496Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:25.3004050Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:25.3004223Z AWS_REGION: us-east-1 2025-08-14T21:35:25.3004512Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:25.3007385Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:25.3010891Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:25.3011138Z JOB_TIMEOUT: 300 2025-08-14T21:35:25.3011272Z ##[endgroup] 2025-08-14T21:35:25.3085251Z ##[group]Run set -x 2025-08-14T21:35:25.3085400Z set -x 2025-08-14T21:35:25.3085501Z  2025-08-14T21:35:25.3085612Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-08-14T21:35:25.3085775Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-08-14T21:35:25.3085938Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-08-14T21:35:25.3090843Z  TEST_COMMAND=.ci/caffe2/test.sh 2025-08-14T21:35:25.3091079Z else 2025-08-14T21:35:25.3091187Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-08-14T21:35:25.3091312Z fi 2025-08-14T21:35:25.3091395Z  2025-08-14T21:35:25.3091532Z # detached container should get cleaned up by teardown_ec2_linux 2025-08-14T21:35:25.3091733Z # TODO: Stop building test binaries as part of the build phase 2025-08-14T21:35:25.3091936Z # Used for GPU_FLAG since that doesn't play nice 2025-08-14T21:35:25.3092095Z # shellcheck disable=SC2086,SC2090 2025-08-14T21:35:25.3092227Z container_name=$(docker run \ 2025-08-14T21:35:25.3094174Z  ${GPU_FLAG:-} \ 2025-08-14T21:35:25.3094297Z  -e BUILD_ENVIRONMENT \ 2025-08-14T21:35:25.3094414Z  -e PR_NUMBER \ 2025-08-14T21:35:25.3094524Z  -e GITHUB_ACTIONS \ 2025-08-14T21:35:25.3094636Z  -e GITHUB_REPOSITORY \ 2025-08-14T21:35:25.3094749Z  -e GITHUB_WORKFLOW \ 2025-08-14T21:35:25.3094858Z  -e GITHUB_JOB \ 2025-08-14T21:35:25.3094966Z  -e GITHUB_RUN_ID \ 2025-08-14T21:35:25.3095072Z  -e GITHUB_RUN_NUMBER \ 2025-08-14T21:35:25.3095184Z  -e GITHUB_RUN_ATTEMPT \ 2025-08-14T21:35:25.3095296Z  -e JOB_ID \ 2025-08-14T21:35:25.3095398Z  -e JOB_NAME \ 2025-08-14T21:35:25.3095515Z  -e BRANCH \ 2025-08-14T21:35:25.3097294Z  -e SHA1 \ 2025-08-14T21:35:25.3097398Z  -e AWS_DEFAULT_REGION \ 2025-08-14T21:35:25.3097516Z  -e IN_WHEEL_TEST \ 2025-08-14T21:35:25.3097624Z  -e SHARD_NUMBER \ 2025-08-14T21:35:25.3097729Z  -e TEST_CONFIG \ 2025-08-14T21:35:25.3097835Z  -e NUM_TEST_SHARDS \ 2025-08-14T21:35:25.3097949Z  -e REENABLED_ISSUES \ 2025-08-14T21:35:25.3098064Z  -e CONTINUE_THROUGH_ERROR \ 2025-08-14T21:35:25.3098181Z  -e VERBOSE_TEST_LOGS \ 2025-08-14T21:35:25.3098292Z  -e TEST_SHOWLOCALS \ 2025-08-14T21:35:25.3098402Z  -e NO_TEST_TIMEOUT \ 2025-08-14T21:35:25.3099761Z  -e NO_TD \ 2025-08-14T21:35:25.3099876Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-08-14T21:35:25.3100013Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-08-14T21:35:25.3100153Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-08-14T21:35:25.3100280Z  -e TESTS_TO_INCLUDE \ 2025-08-14T21:35:25.3100400Z  -e DASHBOARD_TAG \ 2025-08-14T21:35:25.3100542Z  --env-file="${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}" \ 2025-08-14T21:35:25.3100702Z  --ulimit stack=10485760:83886080 \ 2025-08-14T21:35:25.3100820Z  --ulimit core=0 \ 2025-08-14T21:35:25.3100938Z  --security-opt seccomp=unconfined \ 2025-08-14T21:35:25.3101065Z  --cap-add=SYS_PTRACE \ 2025-08-14T21:35:25.3102400Z  --shm-size="8g" \ 2025-08-14T21:35:25.3102505Z  --tty \ 2025-08-14T21:35:25.3102597Z  --detach \ 2025-08-14T21:35:25.3102805Z  --name="${container_name}" \ 2025-08-14T21:35:25.3102926Z  --user jenkins \ 2025-08-14T21:35:25.3103061Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-08-14T21:35:25.3103213Z  -w /var/lib/jenkins/workspace \ 2025-08-14T21:35:25.3103331Z  "${DOCKER_IMAGE}" 2025-08-14T21:35:25.3103430Z ) 2025-08-14T21:35:25.3103538Z # save container name for later step 2025-08-14T21:35:25.3103844Z echo "CONTAINER_NAME=${container_name}" >> "$GITHUB_ENV" 2025-08-14T21:35:25.3105366Z # jenkins user does not have write permission to mounted workspace; work-around by copying within container to jenkins home 2025-08-14T21:35:25.3105717Z docker exec -t "${container_name}" sh -c "cd .. && cp -R workspace pytorch && cd pytorch && pip install dist/*.whl && ${TEST_COMMAND}" 2025-08-14T21:35:25.3110825Z shell: /usr/bin/bash -e {0} 2025-08-14T21:35:25.3110933Z env: 2025-08-14T21:35:25.3111023Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:25.3111161Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:25.3111483Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:25.3111646Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:25.3112038Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:25.3112420Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:25.3114127Z AWS_REGION: us-east-1 2025-08-14T21:35:25.3114293Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:25.3114439Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:25.3116677Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:25.3116793Z BUILD_ENVIRONMENT: linux-jammy-rocm-py3_10 2025-08-14T21:35:25.3116915Z PR_NUMBER: 2025-08-14T21:35:25.3117012Z GITHUB_REPOSITORY: pytorch/pytorch 2025-08-14T21:35:25.3117135Z GITHUB_WORKFLOW: inductor-periodic 2025-08-14T21:35:25.3117249Z GITHUB_JOB: test 2025-08-14T21:35:25.3117344Z GITHUB_RUN_ID: 16976338999 2025-08-14T21:35:25.3117449Z GITHUB_RUN_NUMBER: 66307 2025-08-14T21:35:25.3118865Z GITHUB_RUN_ATTEMPT: 1 2025-08-14T21:35:25.3118962Z JOB_ID: 48128599003 2025-08-14T21:35:25.3119173Z JOB_NAME: rocm-py3_10-periodic-dynamo-benchmarks / test (dynamic_aot_eager_torchbench, 1, 2, linux.rocm.gpu.gfx942.1) 2025-08-14T21:35:25.3119538Z BRANCH: main 2025-08-14T21:35:25.3119648Z SHA1: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:25.3119777Z CONTINUE_THROUGH_ERROR: True 2025-08-14T21:35:25.3119886Z VERBOSE_TEST_LOGS: False 2025-08-14T21:35:25.3119988Z TEST_SHOWLOCALS: False 2025-08-14T21:35:25.3120089Z NO_TEST_TIMEOUT: False 2025-08-14T21:35:25.3120183Z NO_TD: False 2025-08-14T21:35:25.3120281Z TEST_CONFIG: dynamic_aot_eager_torchbench 2025-08-14T21:35:25.3121658Z SHARD_NUMBER: 1 2025-08-14T21:35:25.3121747Z NUM_TEST_SHARDS: 2 2025-08-14T21:35:25.3121840Z REENABLED_ISSUES: 2025-08-14T21:35:25.3122123Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:35:25.3122429Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-08-14T21:35:25.3122551Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-08-14T21:35:25.3122671Z TESTS_TO_INCLUDE: 2025-08-14T21:35:25.3122855Z DASHBOARD_TAG: 2025-08-14T21:35:25.3122944Z ##[endgroup] 2025-08-14T21:35:25.3150069Z + [[ dynamic_aot_eager_torchbench == \m\u\l\t\i\g\p\u ]] 2025-08-14T21:35:25.3150377Z + [[ linux-jammy-rocm-py3_10 == *onnx* ]] 2025-08-14T21:35:25.3150602Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-08-14T21:35:25.3163577Z +++ nproc --ignore=2 2025-08-14T21:35:25.3166335Z ++ docker run --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e GITHUB_REPOSITORY -e GITHUB_WORKFLOW -e GITHUB_JOB -e GITHUB_RUN_ID -e GITHUB_RUN_NUMBER -e GITHUB_RUN_ATTEMPT -e JOB_ID -e JOB_NAME -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e REENABLED_ISSUES -e CONTINUE_THROUGH_ERROR -e VERBOSE_TEST_LOGS -e TEST_SHOWLOCALS -e NO_TEST_TIMEOUT -e NO_TD -e MAX_JOBS=158 -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e TESTS_TO_INCLUDE -e DASHBOARD_TAG --env-file=/home/runner/_work/_temp/github_env_16976338999 --ulimit stack=10485760:83886080 --ulimit core=0 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --shm-size=8g --tty --detach --name= --user jenkins -v /home/runner/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:35:26.0388502Z + container_name=9763dcbe93379685b53505298255e1adb888c2d048c7f43d7c04f9910bcdcaf9 2025-08-14T21:35:26.0388935Z + echo CONTAINER_NAME=9763dcbe93379685b53505298255e1adb888c2d048c7f43d7c04f9910bcdcaf9 2025-08-14T21:35:26.0389518Z + docker exec -t 9763dcbe93379685b53505298255e1adb888c2d048c7f43d7c04f9910bcdcaf9 sh -c 'cd .. && cp -R workspace pytorch && cd pytorch && pip install dist/*.whl && .ci/pytorch/test.sh' 2025-08-14T21:35:31.1110165Z Processing ./dist/torch-2.9.0a0+git1fc683c-cp310-cp310-linux_x86_64.whl 2025-08-14T21:35:31.7509176Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git1fc683c) (3.18.0) 2025-08-14T21:35:31.7518288Z 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) (4.14.1) 2025-08-14T21:35:31.7519074Z 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) (1.13.3) 2025-08-14T21:35:31.7519893Z 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) (2.8.8) 2025-08-14T21:35:31.7520646Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git1fc683c) (3.1.6) 2025-08-14T21:35:31.7521747Z 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) (2025.3.0) 2025-08-14T21:35:31.7730629Z 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) (1.3.0) 2025-08-14T21:35:31.7760930Z 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) (3.0.2) 2025-08-14T21:35:32.3392305Z Installing collected packages: torch 2025-08-14T21:35:39.0240016Z ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. 2025-08-14T21:35:39.0240490Z dall-e 0.1 requires torchvision, which is not installed. 2025-08-14T21:35:39.0240693Z effdet 0.4.1 requires torchvision, which is not installed. 2025-08-14T21:35:39.0240890Z helion 0.1.0 requires filecheck, which is not installed. 2025-08-14T21:35:39.0241186Z python-doctr 1.0.0 requires torchvision>=0.15.0, which is not installed. 2025-08-14T21:35:39.0241457Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-08-14T21:35:39.0241766Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-08-14T21:35:39.0242074Z timm 1.0.14 requires torchvision, which is not installed. 2025-08-14T21:35:39.0242294Z Successfully installed torch-2.9.0a0+git1fc683c 2025-08-14T21:35:39.0961407Z + export TERM=vt100 2025-08-14T21:35:39.0962060Z + TERM=vt100 2025-08-14T21:35:39.0962601Z ++ dirname .ci/pytorch/test.sh 2025-08-14T21:35:39.0970225Z + source .ci/pytorch/common.sh 2025-08-14T21:35:39.0971831Z +++ dirname .ci/pytorch/common.sh 2025-08-14T21:35:39.0976680Z ++ source .ci/pytorch/common_utils.sh 2025-08-14T21:35:39.0977526Z +++ declare -f -t trap_add 2025-08-14T21:35:39.0980237Z ++ set -ex -o pipefail 2025-08-14T21:35:39.0981397Z ++ [[ linux-jammy-rocm-py3_10 == *rocm* ]] 2025-08-14T21:35:39.0981649Z ++ unset HIP_PLATFORM 2025-08-14T21:35:39.0982137Z ++ export PYTORCH_TEST_WITH_ROCM=1 2025-08-14T21:35:39.0982278Z ++ PYTORCH_TEST_WITH_ROCM=1 2025-08-14T21:35:39.0982402Z ++ BUILD_TEST_LIBTORCH=0 2025-08-14T21:35:39.0982578Z ++ dirname .ci/pytorch/test.sh 2025-08-14T21:35:39.0987847Z + source .ci/pytorch/common-build.sh 2025-08-14T21:35:39.0988854Z ++ [[ linux-jammy-rocm-py3_10 != *win-* ]] 2025-08-14T21:35:39.0991868Z ++++ dirname .ci/pytorch/common-build.sh 2025-08-14T21:35:39.0997032Z +++ cd .ci/pytorch 2025-08-14T21:35:39.0997730Z +++ pwd -P 2025-08-14T21:35:39.0999449Z ++ script_dir=/var/lib/jenkins/pytorch/.ci/pytorch 2025-08-14T21:35:39.0999666Z ++ [[ linux-jammy-rocm-py3_10 == *-pch* ]] 2025-08-14T21:35:39.1000814Z ++ which sccache 2025-08-14T21:35:39.1006977Z ++ [[ -z '' ]] 2025-08-14T21:35:39.1008860Z ++ unset SCCACHE_BUCKET 2025-08-14T21:35:39.1009109Z ++ unset SCCACHE_REGION 2025-08-14T21:35:39.1009286Z ++ sccache --stop-server 2025-08-14T21:35:39.1029117Z ++ true 2025-08-14T21:35:39.1029482Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-08-14T21:35:39.1065066Z ++ trap_add sccache_epilogue EXIT 2025-08-14T21:35:39.1065274Z ++ trap_add_cmd=sccache_epilogue 2025-08-14T21:35:39.1065444Z ++ shift 2025-08-14T21:35:39.1065588Z ++ for trap_add_name in "$@" 2025-08-14T21:35:39.1073753Z ++++ trap -p EXIT 2025-08-14T21:35:39.1076464Z +++ eval 'extract_trap_cmd ' 2025-08-14T21:35:39.1076651Z ++++ extract_trap_cmd 2025-08-14T21:35:39.1076812Z ++++ printf '%s\n' '' 2025-08-14T21:35:39.1076986Z +++ printf '%s\n' sccache_epilogue 2025-08-14T21:35:39.1078578Z ++ trap -- ' 2025-08-14T21:35:39.1079021Z sccache_epilogue' EXIT 2025-08-14T21:35:39.1079189Z ++ [[ -n '' ]] 2025-08-14T21:35:39.1079308Z ++ [[ linux-jammy-rocm-py3_10 == *rocm* ]] 2025-08-14T21:35:39.1080334Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:35:39.1080501Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:35:39.1080769Z ++ sccache --start-server 2025-08-14T21:35:39.1097100Z sccache: Starting the server... 2025-08-14T21:35:39.2281890Z sccache: Listening on address 127.0.0.1:4226 2025-08-14T21:35:39.2325494Z ++ sccache --zero-stats 2025-08-14T21:35:39.2350542Z Statistics zeroed. 2025-08-14T21:35:39.2355159Z ++ which ccache 2025-08-14T21:35:39.2408049Z + [[ linux-jammy-rocm-py3_10 != *rocm* ]] 2025-08-14T21:35:39.2408556Z + echo 'Environment variables:' 2025-08-14T21:35:39.2408718Z Environment variables: 2025-08-14T21:35:39.2409936Z + env 2025-08-14T21:35:39.2423723Z GITHUB_WORKSPACE=/home/runner/_work/pytorch/pytorch 2025-08-14T21:35:39.2423912Z CONTINUE_THROUGH_ERROR=True 2025-08-14T21:35:39.2424120Z BUILD_ENVIRONMENT=linux-jammy-rocm-py3_10 2025-08-14T21:35:39.2424302Z HOSTNAME=linux.rocm.gpu.gfx942.1-ccq8d-runner-bpn7b 2025-08-14T21:35:39.2424630Z GITHUB_PATH=/home/runner/_work/_temp/_runner_file_commands/add_path_494e7a50-6f36-4b75-b29e-1c13e956c030 2025-08-14T21:35:39.2428895Z GITHUB_ACTION=__self 2025-08-14T21:35:39.2429022Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-08-14T21:35:39.2430109Z GITHUB_RUN_NUMBER=66307 2025-08-14T21:35:39.2431060Z TEST_CONFIG=dynamic_aot_eager_torchbench 2025-08-14T21:35:39.2431301Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-08-14T21:35:39.2431499Z AWS_DEFAULT_REGION=us-east-1 2025-08-14T21:35:39.2431681Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-08-14T21:35:39.2431872Z GITHUB_REF_TYPE=branch 2025-08-14T21:35:39.2434121Z *** 2025-08-14T21:35:39.2434262Z GITHUB_REPOSITORY_ID=65600975 2025-08-14T21:35:39.2434433Z GITHUB_ACTIONS=true 2025-08-14T21:35:39.2434597Z SHA1=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:39.2441405Z GITHUB_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:39.2441754Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-periodic.yml@refs/heads/main 2025-08-14T21:35:39.2442057Z UCC_HOME=/usr 2025-08-14T21:35:39.2442200Z VERBOSE_TEST_LOGS=False 2025-08-14T21:35:39.2442359Z GITHUB_REF=refs/heads/main 2025-08-14T21:35:39.2442519Z SHARD_NUMBER=1 2025-08-14T21:35:39.2442661Z GITHUB_REF_PROTECTED=true 2025-08-14T21:35:39.2442940Z HOME=/var/lib/jenkins 2025-08-14T21:35:39.2443112Z GITHUB_API_URL=https://api.github.com 2025-08-14T21:35:39.2443618Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-08-14T21:35:39.2443800Z LANG=C.UTF-8 2025-08-14T21:35:39.2443970Z UCX_COMMIT=cc312eaa4655c0cc5c2bcd796db938f90563bcf6 2025-08-14T21:35:39.2446447Z PYTORCH_TEST_WITH_ROCM=1 2025-08-14T21:35:39.2446608Z NUM_TEST_SHARDS=2 2025-08-14T21:35:39.2446737Z UCX_HOME=/usr 2025-08-14T21:35:39.2447008Z GITHUB_STATE=/home/runner/_work/_temp/_runner_file_commands/save_state_494e7a50-6f36-4b75-b29e-1c13e956c030 2025-08-14T21:35:39.2447486Z JOB_NAME=rocm-py3_10-periodic-dynamo-benchmarks / test (dynamic_aot_eager_torchbench, 1, 2, linux.rocm.gpu.gfx942.1) 2025-08-14T21:35:39.2447822Z MAGMA_HOME=/opt/rocm/magma 2025-08-14T21:35:39.2448095Z GITHUB_ENV=/home/runner/_work/_temp/_runner_file_commands/set_env_494e7a50-6f36-4b75-b29e-1c13e956c030 2025-08-14T21:35:39.2448450Z GITHUB_EVENT_PATH=/home/runner/_work/_temp/_github_workflow/event.json 2025-08-14T21:35:39.2448692Z GITHUB_EVENT_NAME=schedule 2025-08-14T21:35:39.2448919Z GITHUB_ACTIONS_RUNNER_EXTRA_USER_AGENT=actions-runner-controller/0.11.0 2025-08-14T21:35:39.2449154Z DASHBOARD_TAG= 2025-08-14T21:35:39.2450759Z GITHUB_RUN_ID=16976338999 2025-08-14T21:35:39.2451180Z GITHUB_STEP_SUMMARY=/home/runner/_work/_temp/_runner_file_commands/step_summary_494e7a50-6f36-4b75-b29e-1c13e956c030 2025-08-14T21:35:39.2451509Z GITHUB_ACTOR=pytorchmergebot 2025-08-14T21:35:39.2451665Z PR_NUMBER= 2025-08-14T21:35:39.2451828Z GITHUB_RUN_ATTEMPT=1 2025-08-14T21:35:39.2451982Z ANACONDA_PYTHON_VERSION=3.10 2025-08-14T21:35:39.2452169Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-08-14T21:35:39.2452357Z TERM=vt100 2025-08-14T21:35:39.2452476Z INSTALLED_VISION=yes 2025-08-14T21:35:39.2452610Z BRANCH=main 2025-08-14T21:35:39.2452839Z OPENSSL_ROOT_DIR=/opt/openssl 2025-08-14T21:35:39.2454505Z TESTS_TO_INCLUDE= 2025-08-14T21:35:39.2454734Z GITHUB_ACTION_PATH=/home/runner/_work/pytorch/pytorch/./.github/actions/setup-rocm 2025-08-14T21:35:39.2455189Z GITHUB_SERVER_URL=https://github.com 2025-08-14T21:35:39.2455371Z PYTORCH_ROCM_ARCH=gfx90a;gfx942 2025-08-14T21:35:39.2455557Z UCC_COMMIT=0c0fc21559835044ab107199e334f7157d6a0d3d 2025-08-14T21:35:39.2455741Z REENABLED_ISSUES= 2025-08-14T21:35:39.2455865Z SHLVL=1 2025-08-14T21:35:39.2455978Z MAX_JOBS=158 2025-08-14T21:35:39.2456104Z GITHUB_ACTOR_ID=97764156 2025-08-14T21:35:39.2456293Z GITHUB_WORKFLOW_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:39.2456500Z GITHUB_REF_NAME=main 2025-08-14T21:35:39.2457955Z ROCM_PATH=/opt/rocm 2025-08-14T21:35:39.2458091Z GITHUB_JOB=test 2025-08-14T21:35:39.2458221Z NO_TEST_TIMEOUT=False 2025-08-14T21:35:39.2458372Z GITHUB_REPOSITORY=pytorch/pytorch 2025-08-14T21:35:39.2458533Z LC_ALL=C.UTF-8 2025-08-14T21:35:39.2458663Z GITHUB_RETENTION_DAYS=90 2025-08-14T21:35:39.2458811Z OPENSSL_DIR=/opt/openssl 2025-08-14T21:35:39.2458962Z GITHUB_ACTION_REPOSITORY= 2025-08-14T21:35:39.2459485Z PATH=/opt/cache/bin:/opt/rocm/llvm/bin:/opt/rocm/opencl/bin:/opt/rocm/hip/bin:/opt/rocm/hcc/bin:/opt/rocm/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-08-14T21:35:39.2460017Z GITHUB_BASE_REF= 2025-08-14T21:35:39.2460141Z CI=true 2025-08-14T21:35:39.2461559Z GITHUB_REPOSITORY_OWNER=pytorch 2025-08-14T21:35:39.2461720Z JOB_ID=48128599003 2025-08-14T21:35:39.2461848Z GITHUB_HEAD_REF= 2025-08-14T21:35:39.2461977Z GITHUB_ACTION_REF= 2025-08-14T21:35:39.2462110Z TEST_SHOWLOCALS=False 2025-08-14T21:35:39.2462262Z GITHUB_WORKFLOW=inductor-periodic 2025-08-14T21:35:39.2462435Z DEBIAN_FRONTEND=noninteractive 2025-08-14T21:35:39.2462818Z GITHUB_OUTPUT=/home/runner/_work/_temp/_runner_file_commands/set_output_494e7a50-6f36-4b75-b29e-1c13e956c030 2025-08-14T21:35:39.2463119Z NO_TD=False 2025-08-14T21:35:39.2463241Z OLDPWD=/var/lib/jenkins 2025-08-14T21:35:39.2463379Z _=/usr/bin/env 2025-08-14T21:35:39.2464918Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-08-14T21:35:39.2795401Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch 2025-08-14T21:35:39.2795896Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-08-14T21:35:39.2796243Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib 2025-08-14T21:35:39.2796566Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test 2025-08-14T21:35:39.2796812Z + BUILD_DIR=build 2025-08-14T21:35:39.2796954Z + BUILD_RENAMED_DIR=build_renamed 2025-08-14T21:35:39.2797120Z + BUILD_BIN_DIR=build/bin 2025-08-14T21:35:39.2797265Z + SHARD_NUMBER=1 2025-08-14T21:35:39.2797394Z + NUM_TEST_SHARDS=2 2025-08-14T21:35:39.2797541Z + export TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:35:39.2799726Z + TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:35:39.2799892Z + export VALGRIND=ON 2025-08-14T21:35:39.2800027Z + VALGRIND=ON 2025-08-14T21:35:39.2800168Z + [[ linux-jammy-rocm-py3_10 == *clang9* ]] 2025-08-14T21:35:39.2800355Z + [[ linux-jammy-rocm-py3_10 == *xpu* ]] 2025-08-14T21:35:39.2800541Z + [[ linux-jammy-rocm-py3_10 == *s390x* ]] 2025-08-14T21:35:39.2800708Z + [[ 0 == \1 ]] 2025-08-14T21:35:39.2800833Z + [[ True == \1 ]] 2025-08-14T21:35:39.2855128Z + [[ linux-jammy-rocm-py3_10 != *bazel* ]] 2025-08-14T21:35:39.2855356Z ++ realpath build/custom_test_artifacts 2025-08-14T21:35:39.2855643Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/pytorch/build/custom_test_artifacts 2025-08-14T21:35:39.2858829Z + [[ -n '' ]] 2025-08-14T21:35:39.2858983Z + echo 'Environment variables' 2025-08-14T21:35:39.2859157Z Environment variables 2025-08-14T21:35:39.2859296Z + env 2025-08-14T21:35:39.2859456Z GITHUB_WORKSPACE=/home/runner/_work/pytorch/pytorch 2025-08-14T21:35:39.2859662Z CONTINUE_THROUGH_ERROR=True 2025-08-14T21:35:39.2859836Z BUILD_ENVIRONMENT=linux-jammy-rocm-py3_10 2025-08-14T21:35:39.2860118Z HOSTNAME=linux.rocm.gpu.gfx942.1-ccq8d-runner-bpn7b 2025-08-14T21:35:39.2860461Z GITHUB_PATH=/home/runner/_work/_temp/_runner_file_commands/add_path_494e7a50-6f36-4b75-b29e-1c13e956c030 2025-08-14T21:35:39.2860930Z GITHUB_ACTION=__self 2025-08-14T21:35:39.2861087Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-08-14T21:35:39.2861260Z GITHUB_RUN_NUMBER=66307 2025-08-14T21:35:39.2861428Z TEST_CONFIG=dynamic_aot_eager_torchbench 2025-08-14T21:35:39.2861623Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-08-14T21:35:39.2861808Z AWS_DEFAULT_REGION=us-east-1 2025-08-14T21:35:39.2864018Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-08-14T21:35:39.2864197Z GITHUB_REF_TYPE=branch 2025-08-14T21:35:39.2864405Z *** 2025-08-14T21:35:39.2864532Z GITHUB_REPOSITORY_ID=65600975 2025-08-14T21:35:39.2864687Z GITHUB_ACTIONS=true 2025-08-14T21:35:39.2864838Z SHA1=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:39.2865038Z GITHUB_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:39.2865349Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-periodic.yml@refs/heads/main 2025-08-14T21:35:39.2865633Z UCC_HOME=/usr 2025-08-14T21:35:39.2865767Z TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:35:39.2865922Z VERBOSE_TEST_LOGS=False 2025-08-14T21:35:39.2867547Z GITHUB_REF=refs/heads/main 2025-08-14T21:35:39.2867699Z SHARD_NUMBER=1 2025-08-14T21:35:39.2867832Z GITHUB_REF_PROTECTED=true 2025-08-14T21:35:39.2867983Z HOME=/var/lib/jenkins 2025-08-14T21:35:39.2868143Z GITHUB_API_URL=https://api.github.com 2025-08-14T21:35:39.2868329Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-08-14T21:35:39.2868493Z LANG=C.UTF-8 2025-08-14T21:35:39.2868649Z UCX_COMMIT=cc312eaa4655c0cc5c2bcd796db938f90563bcf6 2025-08-14T21:35:39.2868847Z PYTORCH_TEST_WITH_ROCM=1 2025-08-14T21:35:39.2868992Z NUM_TEST_SHARDS=2 2025-08-14T21:35:39.2869120Z UCX_HOME=/usr 2025-08-14T21:35:39.2869387Z GITHUB_STATE=/home/runner/_work/_temp/_runner_file_commands/save_state_494e7a50-6f36-4b75-b29e-1c13e956c030 2025-08-14T21:35:39.2869866Z JOB_NAME=rocm-py3_10-periodic-dynamo-benchmarks / test (dynamic_aot_eager_torchbench, 1, 2, linux.rocm.gpu.gfx942.1) 2025-08-14T21:35:39.2871569Z MAGMA_HOME=/opt/rocm/magma 2025-08-14T21:35:39.2871851Z GITHUB_ENV=/home/runner/_work/_temp/_runner_file_commands/set_env_494e7a50-6f36-4b75-b29e-1c13e956c030 2025-08-14T21:35:39.2872297Z GITHUB_EVENT_PATH=/home/runner/_work/_temp/_github_workflow/event.json 2025-08-14T21:35:39.2872534Z GITHUB_EVENT_NAME=schedule 2025-08-14T21:35:39.2872830Z GITHUB_ACTIONS_RUNNER_EXTRA_USER_AGENT=actions-runner-controller/0.11.0 2025-08-14T21:35:39.2873068Z DASHBOARD_TAG= 2025-08-14T21:35:39.2873198Z GITHUB_RUN_ID=16976338999 2025-08-14T21:35:39.2873502Z GITHUB_STEP_SUMMARY=/home/runner/_work/_temp/_runner_file_commands/step_summary_494e7a50-6f36-4b75-b29e-1c13e956c030 2025-08-14T21:35:39.2873835Z GITHUB_ACTOR=pytorchmergebot 2025-08-14T21:35:39.2873988Z PR_NUMBER= 2025-08-14T21:35:39.2874114Z GITHUB_RUN_ATTEMPT=1 2025-08-14T21:35:39.2875587Z VALGRIND=ON 2025-08-14T21:35:39.2875721Z ANACONDA_PYTHON_VERSION=3.10 2025-08-14T21:35:39.2875911Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-08-14T21:35:39.2876102Z TERM=vt100 2025-08-14T21:35:39.2876225Z INSTALLED_VISION=yes 2025-08-14T21:35:39.2876362Z BRANCH=main 2025-08-14T21:35:39.2876493Z OPENSSL_ROOT_DIR=/opt/openssl 2025-08-14T21:35:39.2876649Z TESTS_TO_INCLUDE= 2025-08-14T21:35:39.2876876Z GITHUB_ACTION_PATH=/home/runner/_work/pytorch/pytorch/./.github/actions/setup-rocm 2025-08-14T21:35:39.2877152Z GITHUB_SERVER_URL=https://github.com 2025-08-14T21:35:39.2877332Z PYTORCH_ROCM_ARCH=gfx90a;gfx942 2025-08-14T21:35:39.2878802Z UCC_COMMIT=0c0fc21559835044ab107199e334f7157d6a0d3d 2025-08-14T21:35:39.2878989Z REENABLED_ISSUES= 2025-08-14T21:35:39.2879115Z SHLVL=1 2025-08-14T21:35:39.2879229Z MAX_JOBS=158 2025-08-14T21:35:39.2879355Z GITHUB_ACTOR_ID=97764156 2025-08-14T21:35:39.2879543Z GITHUB_WORKFLOW_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:39.2879751Z GITHUB_REF_NAME=main 2025-08-14T21:35:39.2879887Z ROCM_PATH=/opt/rocm 2025-08-14T21:35:39.2880016Z GITHUB_JOB=test 2025-08-14T21:35:39.2880144Z NO_TEST_TIMEOUT=False 2025-08-14T21:35:39.2880296Z GITHUB_REPOSITORY=pytorch/pytorch 2025-08-14T21:35:39.2881812Z LC_ALL=C.UTF-8 2025-08-14T21:35:39.2881944Z GITHUB_RETENTION_DAYS=90 2025-08-14T21:35:39.2882091Z OPENSSL_DIR=/opt/openssl 2025-08-14T21:35:39.2882245Z GITHUB_ACTION_REPOSITORY= 2025-08-14T21:35:39.2882855Z PATH=/opt/cache/bin:/opt/rocm/llvm/bin:/opt/rocm/opencl/bin:/opt/rocm/hip/bin:/opt/rocm/hcc/bin:/opt/rocm/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-08-14T21:35:39.2883426Z GITHUB_BASE_REF= 2025-08-14T21:35:39.2883559Z CI=true 2025-08-14T21:35:39.2883714Z GITHUB_REPOSITORY_OWNER=pytorch 2025-08-14T21:35:39.2883881Z JOB_ID=48128599003 2025-08-14T21:35:39.2884027Z GITHUB_HEAD_REF= 2025-08-14T21:35:39.2886427Z GITHUB_ACTION_REF= 2025-08-14T21:35:39.2886625Z TEST_SHOWLOCALS=False 2025-08-14T21:35:39.2886795Z GITHUB_WORKFLOW=inductor-periodic 2025-08-14T21:35:39.2886984Z DEBIAN_FRONTEND=noninteractive 2025-08-14T21:35:39.2887319Z GITHUB_OUTPUT=/home/runner/_work/_temp/_runner_file_commands/set_output_494e7a50-6f36-4b75-b29e-1c13e956c030 2025-08-14T21:35:39.2887629Z NO_TD=False 2025-08-14T21:35:39.2887753Z OLDPWD=/var/lib/jenkins 2025-08-14T21:35:39.2887894Z _=/usr/bin/env 2025-08-14T21:35:39.2888027Z + echo 'Testing pytorch' 2025-08-14T21:35:39.2888171Z Testing pytorch 2025-08-14T21:35:39.2888301Z + export LANG=C.UTF-8 2025-08-14T21:35:39.2890019Z + LANG=C.UTF-8 2025-08-14T21:35:39.2890143Z + PR_NUMBER= 2025-08-14T21:35:39.2890296Z + [[ dynamic_aot_eager_torchbench == \d\e\f\a\u\l\t ]] 2025-08-14T21:35:39.2890527Z + [[ dynamic_aot_eager_torchbench == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-08-14T21:35:39.2890746Z + [[ dynamic_aot_eager_torchbench == \s\l\o\w ]] 2025-08-14T21:35:39.2890964Z + [[ linux-jammy-rocm-py3_10 == *slow-gradcheck* ]] 2025-08-14T21:35:39.2891263Z + [[ linux-jammy-rocm-py3_10 == *cuda* ]] 2025-08-14T21:35:39.2891444Z + [[ linux-jammy-rocm-py3_10 == *rocm* ]] 2025-08-14T21:35:39.2891631Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-08-14T21:35:39.2891822Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-08-14T21:35:39.2892015Z + [[ dynamic_aot_eager_torchbench == *crossref* ]] 2025-08-14T21:35:39.2893662Z + [[ linux-jammy-rocm-py3_10 == *rocm* ]] 2025-08-14T21:35:39.2893952Z + export VALGRIND=OFF 2025-08-14T21:35:39.2894089Z + VALGRIND=OFF 2025-08-14T21:35:39.2894210Z + rocminfo 2025-08-14T21:35:39.3143932Z ROCk module version 6.12.12 is loaded 2025-08-14T21:35:39.4018732Z ===================== 2025-08-14T21:35:39.4019269Z HSA System Attributes 2025-08-14T21:35:39.4019460Z ===================== 2025-08-14T21:35:39.4019619Z Runtime Version: 1.15 2025-08-14T21:35:39.4019782Z Runtime Ext Version: 1.7 2025-08-14T21:35:39.4020998Z System Timestamp Freq.: 1000.000000MHz 2025-08-14T21:35:39.4024578Z Sig. Max Wait Duration: 18446744073709551615 (0xFFFFFFFFFFFFFFFF) (timestamp count) 2025-08-14T21:35:39.4024886Z Machine Model: LARGE 2025-08-14T21:35:39.4025133Z System Endianness: LITTLE 2025-08-14T21:35:39.4025381Z Mwaitx: DISABLED 2025-08-14T21:35:39.4025610Z XNACK enabled: NO 2025-08-14T21:35:39.4025778Z DMAbuf Support: YES 2025-08-14T21:35:39.4025952Z VMM Support: YES 2025-08-14T21:35:39.4026057Z 2025-08-14T21:35:39.4026111Z ========== 2025-08-14T21:35:39.4026255Z HSA Agents 2025-08-14T21:35:39.4026396Z ========== 2025-08-14T21:35:39.4028845Z ******* 2025-08-14T21:35:39.4028991Z Agent 1 2025-08-14T21:35:39.4029128Z ******* 2025-08-14T21:35:39.4029299Z Name: AMD EPYC 9575F 64-Core Processor 2025-08-14T21:35:39.4029550Z Uuid: CPU-XX 2025-08-14T21:35:39.4029777Z Marketing Name: AMD EPYC 9575F 64-Core Processor 2025-08-14T21:35:39.4030012Z Vendor Name: CPU 2025-08-14T21:35:39.4030261Z Feature: None specified 2025-08-14T21:35:39.4030634Z Profile: FULL_PROFILE 2025-08-14T21:35:39.4030885Z Float Round Mode: NEAR 2025-08-14T21:35:39.4031121Z Max Queue Number: 0(0x0) 2025-08-14T21:35:39.4031344Z Queue Min Size: 0(0x0) 2025-08-14T21:35:39.4031565Z Queue Max Size: 0(0x0) 2025-08-14T21:35:39.4031792Z Queue Type: MULTI 2025-08-14T21:35:39.4032004Z Node: 0 2025-08-14T21:35:39.4035118Z Device Type: CPU 2025-08-14T21:35:39.4035315Z Cache Info: 2025-08-14T21:35:39.4035480Z L1: 65536(0x10000) KB 2025-08-14T21:35:39.4035692Z Chip ID: 0(0x0) 2025-08-14T21:35:39.4035910Z ASIC Revision: 0(0x0) 2025-08-14T21:35:39.4036143Z Cacheline Size: 64(0x40) 2025-08-14T21:35:39.4036371Z Max Clock Freq. (MHz): 0 2025-08-14T21:35:39.4036588Z BDFID: 0 2025-08-14T21:35:39.4036810Z Internal Node ID: 0 2025-08-14T21:35:39.4037036Z Compute Unit: 80 2025-08-14T21:35:39.4037261Z SIMDs per CU: 0 2025-08-14T21:35:39.4037480Z Shader Engines: 0 2025-08-14T21:35:39.4037706Z Shader Arrs. per Eng.: 0 2025-08-14T21:35:39.4037938Z WatchPts on Addr. Ranges:1 2025-08-14T21:35:39.4038144Z Memory Properties: 2025-08-14T21:35:39.4038301Z Features: None 2025-08-14T21:35:39.4038455Z Pool Info: 2025-08-14T21:35:39.4038610Z Pool 1 2025-08-14T21:35:39.4038883Z Segment: GLOBAL; FLAGS: FINE GRAINED 2025-08-14T21:35:39.4039112Z Size: 660508064(0x275e8da0) KB 2025-08-14T21:35:39.4039329Z Allocatable: TRUE 2025-08-14T21:35:39.4039566Z Alloc Granule: 4KB 2025-08-14T21:35:39.4039812Z Alloc Recommended Granule:4KB 2025-08-14T21:35:39.4040058Z Alloc Alignment: 4KB 2025-08-14T21:35:39.4040293Z Accessible by all: TRUE 2025-08-14T21:35:39.4040497Z Pool 2 2025-08-14T21:35:39.4040687Z Segment: GLOBAL; FLAGS: EXTENDED FINE GRAINED 2025-08-14T21:35:39.4040908Z Size: 660508064(0x275e8da0) KB 2025-08-14T21:35:39.4041129Z Allocatable: TRUE 2025-08-14T21:35:39.4041361Z Alloc Granule: 4KB 2025-08-14T21:35:39.4041602Z Alloc Recommended Granule:4KB 2025-08-14T21:35:39.4041839Z Alloc Alignment: 4KB 2025-08-14T21:35:39.4043964Z Accessible by all: TRUE 2025-08-14T21:35:39.4044169Z Pool 3 2025-08-14T21:35:39.4044351Z Segment: GLOBAL; FLAGS: KERNARG, FINE GRAINED 2025-08-14T21:35:39.4044567Z Size: 660508064(0x275e8da0) KB 2025-08-14T21:35:39.4044780Z Allocatable: TRUE 2025-08-14T21:35:39.4045011Z Alloc Granule: 4KB 2025-08-14T21:35:39.4045247Z Alloc Recommended Granule:4KB 2025-08-14T21:35:39.4045575Z Alloc Alignment: 4KB 2025-08-14T21:35:39.4045810Z Accessible by all: TRUE 2025-08-14T21:35:39.4046009Z Pool 4 2025-08-14T21:35:39.4046188Z Segment: GLOBAL; FLAGS: COARSE GRAINED 2025-08-14T21:35:39.4047890Z Size: 660508064(0x275e8da0) KB 2025-08-14T21:35:39.4048103Z Allocatable: TRUE 2025-08-14T21:35:39.4048326Z Alloc Granule: 4KB 2025-08-14T21:35:39.4048560Z Alloc Recommended Granule:4KB 2025-08-14T21:35:39.4048797Z Alloc Alignment: 4KB 2025-08-14T21:35:39.4049025Z Accessible by all: TRUE 2025-08-14T21:35:39.4049227Z ISA Info: 2025-08-14T21:35:39.4049372Z ******* 2025-08-14T21:35:39.4049515Z Agent 2 2025-08-14T21:35:39.4049653Z ******* 2025-08-14T21:35:39.4049822Z Name: AMD EPYC 9575F 64-Core Processor 2025-08-14T21:35:39.4051517Z Uuid: CPU-XX 2025-08-14T21:35:39.4051739Z Marketing Name: AMD EPYC 9575F 64-Core Processor 2025-08-14T21:35:39.4051968Z Vendor Name: CPU 2025-08-14T21:35:39.4052185Z Feature: None specified 2025-08-14T21:35:39.4052400Z Profile: FULL_PROFILE 2025-08-14T21:35:39.4052621Z Float Round Mode: NEAR 2025-08-14T21:35:39.4052966Z Max Queue Number: 0(0x0) 2025-08-14T21:35:39.4053184Z Queue Min Size: 0(0x0) 2025-08-14T21:35:39.4053400Z Queue Max Size: 0(0x0) 2025-08-14T21:35:39.4053617Z Queue Type: MULTI 2025-08-14T21:35:39.4053889Z Node: 1 2025-08-14T21:35:39.4055524Z Device Type: CPU 2025-08-14T21:35:39.4055719Z Cache Info: 2025-08-14T21:35:39.4055880Z L1: 65536(0x10000) KB 2025-08-14T21:35:39.4056077Z Chip ID: 0(0x0) 2025-08-14T21:35:39.4056285Z ASIC Revision: 0(0x0) 2025-08-14T21:35:39.4056507Z Cacheline Size: 64(0x40) 2025-08-14T21:35:39.4056730Z Max Clock Freq. (MHz): 0 2025-08-14T21:35:39.4056939Z BDFID: 0 2025-08-14T21:35:39.4057150Z Internal Node ID: 1 2025-08-14T21:35:39.4057368Z Compute Unit: 80 2025-08-14T21:35:39.4057584Z SIMDs per CU: 0 2025-08-14T21:35:39.4059192Z Shader Engines: 0 2025-08-14T21:35:39.4059418Z Shader Arrs. per Eng.: 0 2025-08-14T21:35:39.4059649Z WatchPts on Addr. Ranges:1 2025-08-14T21:35:39.4059851Z Memory Properties: 2025-08-14T21:35:39.4060005Z Features: None 2025-08-14T21:35:39.4060157Z Pool Info: 2025-08-14T21:35:39.4060302Z Pool 1 2025-08-14T21:35:39.4060484Z Segment: GLOBAL; FLAGS: FINE GRAINED 2025-08-14T21:35:39.4060699Z Size: 660522908(0x275ec79c) KB 2025-08-14T21:35:39.4060912Z Allocatable: TRUE 2025-08-14T21:35:39.4061138Z Alloc Granule: 4KB 2025-08-14T21:35:39.4062966Z Alloc Recommended Granule:4KB 2025-08-14T21:35:39.4063211Z Alloc Alignment: 4KB 2025-08-14T21:35:39.4063441Z Accessible by all: TRUE 2025-08-14T21:35:39.4063639Z Pool 2 2025-08-14T21:35:39.4063822Z Segment: GLOBAL; FLAGS: EXTENDED FINE GRAINED 2025-08-14T21:35:39.4064038Z Size: 660522908(0x275ec79c) KB 2025-08-14T21:35:39.4064250Z Allocatable: TRUE 2025-08-14T21:35:39.4064474Z Alloc Granule: 4KB 2025-08-14T21:35:39.4064709Z Alloc Recommended Granule:4KB 2025-08-14T21:35:39.4064945Z Alloc Alignment: 4KB 2025-08-14T21:35:39.4065174Z Accessible by all: TRUE 2025-08-14T21:35:39.4068543Z Pool 3 2025-08-14T21:35:39.4068738Z Segment: GLOBAL; FLAGS: KERNARG, FINE GRAINED 2025-08-14T21:35:39.4068954Z Size: 660522908(0x275ec79c) KB 2025-08-14T21:35:39.4069166Z Allocatable: TRUE 2025-08-14T21:35:39.4069387Z Alloc Granule: 4KB 2025-08-14T21:35:39.4069621Z Alloc Recommended Granule:4KB 2025-08-14T21:35:39.4069859Z Alloc Alignment: 4KB 2025-08-14T21:35:39.4070087Z Accessible by all: TRUE 2025-08-14T21:35:39.4070286Z Pool 4 2025-08-14T21:35:39.4070467Z Segment: GLOBAL; FLAGS: COARSE GRAINED 2025-08-14T21:35:39.4070680Z Size: 660522908(0x275ec79c) KB 2025-08-14T21:35:39.4072297Z Allocatable: TRUE 2025-08-14T21:35:39.4072601Z Alloc Granule: 4KB 2025-08-14T21:35:39.4072925Z Alloc Recommended Granule:4KB 2025-08-14T21:35:39.4073159Z Alloc Alignment: 4KB 2025-08-14T21:35:39.4073388Z Accessible by all: TRUE 2025-08-14T21:35:39.4073587Z ISA Info: 2025-08-14T21:35:39.4073732Z ******* 2025-08-14T21:35:39.4073870Z Agent 3 2025-08-14T21:35:39.4074007Z ******* 2025-08-14T21:35:39.4074163Z Name: gfx942 2025-08-14T21:35:39.4074366Z Uuid: GPU-7db03d241edeb326 2025-08-14T21:35:39.4075967Z Marketing Name: AMD Instinct Mi325X VF 2025-08-14T21:35:39.4076195Z Vendor Name: AMD 2025-08-14T21:35:39.4076413Z Feature: KERNEL_DISPATCH 2025-08-14T21:35:39.4076632Z Profile: BASE_PROFILE 2025-08-14T21:35:39.4076851Z Float Round Mode: NEAR 2025-08-14T21:35:39.4077072Z Max Queue Number: 128(0x80) 2025-08-14T21:35:39.4077288Z Queue Min Size: 64(0x40) 2025-08-14T21:35:39.4077501Z Queue Max Size: 131072(0x20000) 2025-08-14T21:35:39.4077712Z Queue Type: MULTI 2025-08-14T21:35:39.4077913Z Node: 2 2025-08-14T21:35:39.4079387Z Device Type: GPU 2025-08-14T21:35:39.4079583Z Cache Info: 2025-08-14T21:35:39.4079744Z L1: 32(0x20) KB 2025-08-14T21:35:39.4079931Z L2: 4096(0x1000) KB 2025-08-14T21:35:39.4080179Z L3: 262144(0x40000) KB 2025-08-14T21:35:39.4080374Z Chip ID: 29881(0x74b9) 2025-08-14T21:35:39.4080583Z ASIC Revision: 1(0x1) 2025-08-14T21:35:39.4080803Z Cacheline Size: 128(0x80) 2025-08-14T21:35:39.4081023Z Max Clock Freq. (MHz): 2100 2025-08-14T21:35:39.4081229Z BDFID: 39680 2025-08-14T21:35:39.4081437Z Internal Node ID: 2 2025-08-14T21:35:39.4083043Z Compute Unit: 304 2025-08-14T21:35:39.4083263Z SIMDs per CU: 4 2025-08-14T21:35:39.4083482Z Shader Engines: 32 2025-08-14T21:35:39.4083708Z Shader Arrs. per Eng.: 1 2025-08-14T21:35:39.4083943Z WatchPts on Addr. Ranges:4 2025-08-14T21:35:39.4084179Z Coherent Host Access: FALSE 2025-08-14T21:35:39.4084387Z Memory Properties: 2025-08-14T21:35:39.4084555Z Features: KERNEL_DISPATCH 2025-08-14T21:35:39.4084761Z Fast F16 Operation: TRUE 2025-08-14T21:35:39.4084988Z Wavefront Size: 64(0x40) 2025-08-14T21:35:39.4085216Z Workgroup Max Size: 1024(0x400) 2025-08-14T21:35:39.4086697Z Workgroup Max Size per Dimension: 2025-08-14T21:35:39.4086881Z x 1024(0x400) 2025-08-14T21:35:39.4087065Z y 1024(0x400) 2025-08-14T21:35:39.4087246Z z 1024(0x400) 2025-08-14T21:35:39.4087448Z Max Waves Per CU: 32(0x20) 2025-08-14T21:35:39.4087675Z Max Work-item Per CU: 2048(0x800) 2025-08-14T21:35:39.4087989Z Grid Max Size: 4294967295(0xffffffff) 2025-08-14T21:35:39.4088189Z Grid Max Size per Dimension: 2025-08-14T21:35:39.4088354Z x 4294967295(0xffffffff) 2025-08-14T21:35:39.4088540Z y 4294967295(0xffffffff) 2025-08-14T21:35:39.4088725Z z 4294967295(0xffffffff) 2025-08-14T21:35:39.4090202Z Max fbarriers/Workgrp: 32 2025-08-14T21:35:39.4090484Z Packet Processor uCode:: 177 2025-08-14T21:35:39.4090718Z SDMA engine uCode:: 24 2025-08-14T21:35:39.4090942Z IOMMU Support:: None 2025-08-14T21:35:39.4091241Z Pool Info: 2025-08-14T21:35:39.4091392Z Pool 1 2025-08-14T21:35:39.4091577Z Segment: GLOBAL; FLAGS: COARSE GRAINED 2025-08-14T21:35:39.4091795Z Size: 268107776(0xffb0000) KB 2025-08-14T21:35:39.4092011Z Allocatable: TRUE 2025-08-14T21:35:39.4092236Z Alloc Granule: 4KB 2025-08-14T21:35:39.4092470Z Alloc Recommended Granule:2048KB 2025-08-14T21:35:39.4094049Z Alloc Alignment: 4KB 2025-08-14T21:35:39.4094284Z Accessible by all: FALSE 2025-08-14T21:35:39.4094483Z Pool 2 2025-08-14T21:35:39.4094665Z Segment: GLOBAL; FLAGS: EXTENDED FINE GRAINED 2025-08-14T21:35:39.4094880Z Size: 268107776(0xffb0000) KB 2025-08-14T21:35:39.4095090Z Allocatable: TRUE 2025-08-14T21:35:39.4095386Z Alloc Granule: 4KB 2025-08-14T21:35:39.4095621Z Alloc Recommended Granule:2048KB 2025-08-14T21:35:39.4095856Z Alloc Alignment: 4KB 2025-08-14T21:35:39.4096085Z Accessible by all: FALSE 2025-08-14T21:35:39.4096281Z Pool 3 2025-08-14T21:35:39.4097731Z Segment: GLOBAL; FLAGS: FINE GRAINED 2025-08-14T21:35:39.4097946Z Size: 268107776(0xffb0000) KB 2025-08-14T21:35:39.4098158Z Allocatable: TRUE 2025-08-14T21:35:39.4098382Z Alloc Granule: 4KB 2025-08-14T21:35:39.4098615Z Alloc Recommended Granule:2048KB 2025-08-14T21:35:39.4098850Z Alloc Alignment: 4KB 2025-08-14T21:35:39.4099081Z Accessible by all: FALSE 2025-08-14T21:35:39.4099281Z Pool 4 2025-08-14T21:35:39.4099453Z Segment: GROUP 2025-08-14T21:35:39.4099655Z Size: 64(0x40) KB 2025-08-14T21:35:39.4099863Z Allocatable: FALSE 2025-08-14T21:35:39.4101341Z Alloc Granule: 0KB 2025-08-14T21:35:39.4101579Z Alloc Recommended Granule:0KB 2025-08-14T21:35:39.4101813Z Alloc Alignment: 0KB 2025-08-14T21:35:39.4102040Z Accessible by all: FALSE 2025-08-14T21:35:39.4102237Z ISA Info: 2025-08-14T21:35:39.4102382Z ISA 1 2025-08-14T21:35:39.4102568Z Name: amdgcn-amd-amdhsa--gfx942:sramecc+:xnack- 2025-08-14T21:35:39.4102905Z Machine Models: HSA_MACHINE_MODEL_LARGE 2025-08-14T21:35:39.4103209Z Profiles: HSA_PROFILE_BASE 2025-08-14T21:35:39.4103442Z Default Rounding Mode: NEAR 2025-08-14T21:35:39.4103681Z Default Rounding Mode: NEAR 2025-08-14T21:35:39.4105204Z Fast f16: TRUE 2025-08-14T21:35:39.4105425Z Workgroup Max Size: 1024(0x400) 2025-08-14T21:35:39.4105635Z Workgroup Max Size per Dimension: 2025-08-14T21:35:39.4105818Z x 1024(0x400) 2025-08-14T21:35:39.4106005Z y 1024(0x400) 2025-08-14T21:35:39.4106187Z z 1024(0x400) 2025-08-14T21:35:39.4106387Z Grid Max Size: 4294967295(0xffffffff) 2025-08-14T21:35:39.4106590Z Grid Max Size per Dimension: 2025-08-14T21:35:39.4106764Z x 4294967295(0xffffffff) 2025-08-14T21:35:39.4106952Z y 4294967295(0xffffffff) 2025-08-14T21:35:39.4107143Z z 4294967295(0xffffffff) 2025-08-14T21:35:39.4108630Z FBarrier Max Size: 32 2025-08-14T21:35:39.4108828Z ISA 2 2025-08-14T21:35:39.4109027Z Name: amdgcn-amd-amdhsa--gfx9-4-generic:sramecc+:xnack- 2025-08-14T21:35:39.4109278Z Machine Models: HSA_MACHINE_MODEL_LARGE 2025-08-14T21:35:39.4109514Z Profiles: HSA_PROFILE_BASE 2025-08-14T21:35:39.4109746Z Default Rounding Mode: NEAR 2025-08-14T21:35:39.4109984Z Default Rounding Mode: NEAR 2025-08-14T21:35:39.4110266Z Fast f16: TRUE 2025-08-14T21:35:39.4110489Z Workgroup Max Size: 1024(0x400) 2025-08-14T21:35:39.4110698Z Workgroup Max Size per Dimension: 2025-08-14T21:35:39.4110879Z x 1024(0x400) 2025-08-14T21:35:39.4112371Z y 1024(0x400) 2025-08-14T21:35:39.4112557Z z 1024(0x400) 2025-08-14T21:35:39.4112847Z Grid Max Size: 4294967295(0xffffffff) 2025-08-14T21:35:39.4113073Z Grid Max Size per Dimension: 2025-08-14T21:35:39.4113256Z x 4294967295(0xffffffff) 2025-08-14T21:35:39.4113450Z y 4294967295(0xffffffff) 2025-08-14T21:35:39.4113638Z z 4294967295(0xffffffff) 2025-08-14T21:35:39.4113850Z FBarrier Max Size: 32 2025-08-14T21:35:39.4114048Z *** Done *** 2025-08-14T21:35:39.4130587Z + rocminfo 2025-08-14T21:35:39.4133783Z + grep -E 'Name:.*\sgfx|Marketing' 2025-08-14T21:35:39.5212615Z Marketing Name: AMD EPYC 9575F 64-Core Processor 2025-08-14T21:35:39.5213122Z Marketing Name: AMD EPYC 9575F 64-Core Processor 2025-08-14T21:35:39.5213501Z Name: gfx942 2025-08-14T21:35:39.5213763Z Marketing Name: AMD Instinct Mi325X VF 2025-08-14T21:35:39.5296581Z + MAYBE_ROCM=rocm/ 2025-08-14T21:35:39.5296822Z + [[ linux-jammy-rocm-py3_10 == *xpu* ]] 2025-08-14T21:35:39.5297028Z + [[ linux-jammy-rocm-py3_10 != *-bazel-* ]] 2025-08-14T21:35:39.5297228Z + pip_install ninja==1.10.2 2025-08-14T21:35:39.5297449Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-08-14T21:35:39.5297723Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-08-14T21:35:40.0345976Z Collecting ninja==1.10.2 2025-08-14T21:35:40.1298416Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-08-14T21:35:40.2889321Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-08-14T21:35:40.7303792Z Installing collected packages: ninja 2025-08-14T21:35:40.7304155Z Attempting uninstall: ninja 2025-08-14T21:35:40.7307889Z Found existing installation: ninja 1.11.1.3 2025-08-14T21:35:40.7318440Z Uninstalling ninja-1.11.1.3: 2025-08-14T21:35:40.7416024Z Successfully uninstalled ninja-1.11.1.3 2025-08-14T21:35:40.7786070Z Successfully installed ninja-1.10.2 2025-08-14T21:35:40.9197995Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/opt/rocm/llvm/bin:/opt/rocm/opencl/bin:/opt/rocm/hip/bin:/opt/rocm/hcc/bin:/opt/rocm/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-08-14T21:35:40.9199279Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/opt/rocm/llvm/bin:/opt/rocm/opencl/bin:/opt/rocm/hip/bin:/opt/rocm/hcc/bin:/opt/rocm/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-08-14T21:35:40.9199905Z + [[ linux-jammy-rocm-py3_10 == *aarch64* ]] 2025-08-14T21:35:40.9200124Z + [[ linux-jammy-rocm-py3_10 == *asan* ]] 2025-08-14T21:35:40.9200331Z + [[ linux-jammy-rocm-py3_10 == *-debug* ]] 2025-08-14T21:35:40.9200538Z + [[ linux-jammy-rocm-py3_10 != *-bazel-* ]] 2025-08-14T21:35:40.9200852Z + echo 'We are not in debug mode: linux-jammy-rocm-py3_10. Expect the assertion to pass' 2025-08-14T21:35:40.9201206Z We are not in debug mode: linux-jammy-rocm-py3_10. Expect the assertion to pass 2025-08-14T21:35:40.9201830Z + cd test 2025-08-14T21:35:40.9203666Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-08-14T21:35:42.1047437Z + [[ dynamic_aot_eager_torchbench == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-08-14T21:35:42.1054853Z + [[ dynamic_aot_eager_torchbench == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-08-14T21:35:42.1055184Z + [[ dynamic_aot_eager_torchbench == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-08-14T21:35:42.1055453Z + DYNAMO_BENCHMARK_FLAGS=() 2025-08-14T21:35:42.1055657Z + [[ dynamic_aot_eager_torchbench == *pr_time_benchmarks* ]] 2025-08-14T21:35:42.1055915Z + [[ dynamic_aot_eager_torchbench == *dynamo_eager* ]] 2025-08-14T21:35:42.1056139Z + [[ dynamic_aot_eager_torchbench == *aot_eager* ]] 2025-08-14T21:35:42.1056385Z + DYNAMO_BENCHMARK_FLAGS+=(--backend aot_eager) 2025-08-14T21:35:42.1056598Z + [[ dynamic_aot_eager_torchbench == *dynamic* ]] 2025-08-14T21:35:42.1056865Z + DYNAMO_BENCHMARK_FLAGS+=(--dynamic-shapes --dynamic-batch-only) 2025-08-14T21:35:42.1057115Z + [[ dynamic_aot_eager_torchbench == *cpu* ]] 2025-08-14T21:35:42.1057312Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-08-14T21:35:42.1060071Z + [[ linux-jammy-rocm-py3_10 == *libtorch* ]] 2025-08-14T21:35:42.1060286Z + [[ linux-jammy-rocm-py3_10 == *-bazel-* ]] 2025-08-14T21:35:42.1067011Z + cd test 2025-08-14T21:35:42.1067402Z + python -c 'import torch; print(torch.__config__.show())' 2025-08-14T21:35:42.9976492Z PyTorch built with: 2025-08-14T21:35:43.0013383Z - GCC 11.4 2025-08-14T21:35:43.0015205Z - C++ Version: 201703 2025-08-14T21:35:43.0015754Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-08-14T21:35:43.0016178Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-08-14T21:35:43.0016443Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-08-14T21:35:43.0016652Z - LAPACK is enabled (usually provided by MKL) 2025-08-14T21:35:43.0016854Z - NNPACK is enabled 2025-08-14T21:35:43.0017022Z - CPU capability usage: AVX512 2025-08-14T21:35:43.0023998Z - HIP Runtime 6.4.43484 2025-08-14T21:35:43.0024219Z - MIOpen 3.4.0 2025-08-14T21:35:43.0024367Z - Magma 2.7.2 2025-08-14T21:35:43.0027304Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=1fc683cf17c8c673044538d10266c00f92987be2, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -faligned-new -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.9.0, USE_CUDA=OFF, USE_CUDNN=OFF, USE_CUSPARSELT=OFF, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=ON, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 2025-08-14T21:35:43.0029977Z 2025-08-14T21:35:43.3289618Z + cd test 2025-08-14T21:35:43.3289871Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-08-14T21:35:44.3925888Z ATen/Parallel: 2025-08-14T21:35:44.3926307Z at::get_num_threads() : 160 2025-08-14T21:35:44.3934412Z at::get_num_interop_threads() : 160 2025-08-14T21:35:44.3934621Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-08-14T21:35:44.3934816Z omp_get_max_threads() : 160 2025-08-14T21:35:44.3935176Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-08-14T21:35:44.3935526Z mkl_get_max_threads() : 160 2025-08-14T21:35:44.3935769Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-08-14T21:35:44.3936026Z std::thread::hardware_concurrency() : 160 2025-08-14T21:35:44.3936227Z Environment variables: 2025-08-14T21:35:44.3936403Z OMP_NUM_THREADS : [not set] 2025-08-14T21:35:44.3937040Z MKL_NUM_THREADS : [not set] 2025-08-14T21:35:44.3937210Z ATen parallel backend: OpenMP 2025-08-14T21:35:44.3937351Z 2025-08-14T21:35:44.6592529Z + [[ dynamic_aot_eager_torchbench == *numpy_2* ]] 2025-08-14T21:35:44.6592947Z + [[ linux-jammy-rocm-py3_10 == *aarch64* ]] 2025-08-14T21:35:44.6593161Z + [[ dynamic_aot_eager_torchbench == *backward* ]] 2025-08-14T21:35:44.6597493Z + [[ dynamic_aot_eager_torchbench == *xla* ]] 2025-08-14T21:35:44.6600662Z + [[ dynamic_aot_eager_torchbench == *executorch* ]] 2025-08-14T21:35:44.6600893Z + [[ dynamic_aot_eager_torchbench == \j\i\t\_\l\e\g\a\c\y ]] 2025-08-14T21:35:44.6601116Z + [[ linux-jammy-rocm-py3_10 == *libtorch* ]] 2025-08-14T21:35:44.6601319Z + [[ dynamic_aot_eager_torchbench == distributed ]] 2025-08-14T21:35:44.6601547Z + [[ dynamic_aot_eager_torchbench == *operator_benchmark* ]] 2025-08-14T21:35:44.6601793Z + [[ dynamic_aot_eager_torchbench == *inductor_distributed* ]] 2025-08-14T21:35:44.6602036Z + [[ dynamic_aot_eager_torchbench == *inductor-halide* ]] 2025-08-14T21:35:44.6606937Z + [[ dynamic_aot_eager_torchbench == *inductor-triton-cpu* ]] 2025-08-14T21:35:44.6607716Z + [[ dynamic_aot_eager_torchbench == *inductor-micro-benchmark* ]] 2025-08-14T21:35:44.6611091Z + [[ dynamic_aot_eager_torchbench == *huggingface* ]] 2025-08-14T21:35:44.6611422Z + [[ dynamic_aot_eager_torchbench == *timm* ]] 2025-08-14T21:35:44.6611642Z + [[ dynamic_aot_eager_torchbench == cachebench ]] 2025-08-14T21:35:44.6612092Z + [[ dynamic_aot_eager_torchbench == verify_cachebench ]] 2025-08-14T21:35:44.6612381Z + [[ dynamic_aot_eager_torchbench == *torchbench* ]] 2025-08-14T21:35:44.6612588Z + install_torchaudio 2025-08-14T21:35:44.6612887Z + local commit 2025-08-14T21:35:44.6613071Z ++ get_pinned_commit audio 2025-08-14T21:35:44.6614389Z ++ cat .github/ci_commit_pins/audio.txt 2025-08-14T21:35:44.6621393Z + commit=bdb88e1d66f272cad72156c90ac8428ca61a601c 2025-08-14T21:35:44.6628865Z + pip_build_and_install git+https://github.com/pytorch/audio.git@bdb88e1d66f272cad72156c90ac8428ca61a601c dist/audio 2025-08-14T21:35:44.6629585Z + local build_target=git+https://github.com/pytorch/audio.git@bdb88e1d66f272cad72156c90ac8428ca61a601c 2025-08-14T21:35:44.6630390Z + local wheel_dir=dist/audio 2025-08-14T21:35:44.6630872Z + local found_whl=0 2025-08-14T21:35:44.6631051Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:35:44.6631234Z + [[ -f dist/audio/*.whl ]] 2025-08-14T21:35:44.6631390Z + '[' 0 == 0 ']' 2025-08-14T21:35:44.6631846Z + python3 -m pip wheel --no-build-isolation --no-deps --no-use-pep517 -w dist/audio git+https://github.com/pytorch/audio.git@bdb88e1d66f272cad72156c90ac8428ca61a601c 2025-08-14T21:35:44.8650449Z Collecting git+https://github.com/pytorch/audio.git@bdb88e1d66f272cad72156c90ac8428ca61a601c 2025-08-14T21:35:44.8660073Z Cloning https://github.com/pytorch/audio.git (to revision bdb88e1d66f272cad72156c90ac8428ca61a601c) to /tmp/pip-req-build-mwep8f6_ 2025-08-14T21:35:44.8670391Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/audio.git /tmp/pip-req-build-mwep8f6_ 2025-08-14T21:35:47.1235718Z Running command git rev-parse -q --verify 'sha^bdb88e1d66f272cad72156c90ac8428ca61a601c' 2025-08-14T21:35:47.1246599Z Running command git fetch -q https://github.com/pytorch/audio.git bdb88e1d66f272cad72156c90ac8428ca61a601c 2025-08-14T21:35:47.4091473Z Running command git checkout -q bdb88e1d66f272cad72156c90ac8428ca61a601c 2025-08-14T21:35:47.7418128Z Resolved https://github.com/pytorch/audio.git to commit bdb88e1d66f272cad72156c90ac8428ca61a601c 2025-08-14T21:35:47.7418705Z Running command git submodule update --init --recursive -q 2025-08-14T21:35:49.2856760Z Preparing metadata (setup.py) ... [?25l- done 2025-08-14T21:35:49.2862507Z [?25hBuilding wheels for collected packages: torchaudio 2025-08-14T21:35:49.2996816Z  DEPRECATION: Building 'torchaudio' 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 'torchaudio'. Discussion can be found at https://github.com/pypa/pip/issues/6334 2025-08-14T21:36:15.7866564Z  Building wheel for torchaudio (setup.py) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - done 2025-08-14T21:36:15.7886725Z [?25h Created wheel for torchaudio: filename=torchaudio-2.8.0a0+bdb88e1-cp310-cp310-linux_x86_64.whl size=1722137 sha256=ad359a4da891c8ced2d3a8d09167d877b65c089677111d54f78bad1e18c53f1e 2025-08-14T21:36:15.7890956Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/b4/a4/54/a673a78ea28081dafa5ec044a02bdf57ec5f5e610b00c52087 2025-08-14T21:36:15.7906514Z Successfully built torchaudio 2025-08-14T21:36:15.8708022Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:36:15.8716700Z + pip_install_whl dist/audio/torchaudio-2.8.0a0+bdb88e1-cp310-cp310-linux_x86_64.whl 2025-08-14T21:36:15.8717218Z + args=('dist/audio/torchaudio-2.8.0a0+bdb88e1-cp310-cp310-linux_x86_64.whl') 2025-08-14T21:36:15.8717508Z + local args 2025-08-14T21:36:15.8717769Z + [[ dist/audio/torchaudio-2.8.0a0+bdb88e1-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-08-14T21:36:15.8718077Z + for path in "${args[@]}" 2025-08-14T21:36:15.8718381Z + echo 'Installing dist/audio/torchaudio-2.8.0a0+bdb88e1-cp310-cp310-linux_x86_64.whl' 2025-08-14T21:36:15.8718779Z Installing dist/audio/torchaudio-2.8.0a0+bdb88e1-cp310-cp310-linux_x86_64.whl 2025-08-14T21:36:15.8719245Z + python3 -mpip install --no-index --no-deps dist/audio/torchaudio-2.8.0a0+bdb88e1-cp310-cp310-linux_x86_64.whl 2025-08-14T21:36:16.0363886Z Processing ./dist/audio/torchaudio-2.8.0a0+bdb88e1-cp310-cp310-linux_x86_64.whl 2025-08-14T21:36:16.0404947Z Installing collected packages: torchaudio 2025-08-14T21:36:16.1629753Z Successfully installed torchaudio-2.8.0a0+bdb88e1 2025-08-14T21:36:16.1835437Z + install_torchvision 2025-08-14T21:36:16.1835765Z + local orig_preload 2025-08-14T21:36:16.1836034Z + local commit 2025-08-14T21:36:16.1838973Z ++ get_pinned_commit vision 2025-08-14T21:36:16.1839341Z ++ cat .github/ci_commit_pins/vision.txt 2025-08-14T21:36:16.1850432Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:36:16.1850689Z + orig_preload= 2025-08-14T21:36:16.1850862Z + '[' -n '' ']' 2025-08-14T21:36:16.1851152Z + [[ linux-jammy-rocm-py3_10 == *cuda* ]] 2025-08-14T21:36:16.1858498Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-08-14T21:36:16.1859049Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:36:16.1859391Z + local wheel_dir=dist/vision 2025-08-14T21:36:16.1859555Z + local found_whl=0 2025-08-14T21:36:16.1859746Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:36:16.1859930Z + [[ -f dist/vision/*.whl ]] 2025-08-14T21:36:16.1860090Z + '[' 0 == 0 ']' 2025-08-14T21:36:16.1860519Z + python3 -m pip wheel --no-build-isolation --no-deps --no-use-pep517 -w dist/vision git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:36:16.3467677Z Collecting git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:36:16.3477486Z Cloning https://github.com/pytorch/vision.git (to revision 966da7e46f65d6d49df3e31214470a4fe5cc8e66) to /tmp/pip-req-build-e_laogap 2025-08-14T21:36:16.3478337Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-e_laogap 2025-08-14T21:36:17.9232206Z Running command git rev-parse -q --verify 'sha^966da7e46f65d6d49df3e31214470a4fe5cc8e66' 2025-08-14T21:36:17.9240115Z Running command git fetch -q https://github.com/pytorch/vision.git 966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:36:18.2029608Z Running command git checkout -q 966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:36:18.5780144Z Resolved https://github.com/pytorch/vision.git to commit 966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:36:20.1230534Z Preparing metadata (setup.py) ... [?25l- \ | done 2025-08-14T21:36:20.1254734Z [?25hBuilding wheels for collected packages: torchvision 2025-08-14T21:36:20.1288335Z  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 2025-08-14T21:36:49.5667535Z  Building wheel for torchvision (setup.py) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / done 2025-08-14T21:36:49.5684396Z [?25h Created wheel for torchvision: filename=torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl size=1570535 sha256=c3f4b484c7f398fb6653fb5a8622514ab40c61a6ca1c1894e52fb9768bb323d7 2025-08-14T21:36:49.5684880Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/9c/9d/3e/42fa2d5ac6ba44a90363f8fff0fa9e712e24d4f977637c81cb 2025-08-14T21:36:49.5708521Z Successfully built torchvision 2025-08-14T21:36:49.6354303Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:36:49.6354675Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-08-14T21:36:49.6355004Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl') 2025-08-14T21:36:49.6355275Z + local args 2025-08-14T21:36:49.6355486Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-08-14T21:36:49.6361208Z + for path in "${args[@]}" 2025-08-14T21:36:49.6361854Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl' 2025-08-14T21:36:49.6362117Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-08-14T21:36:49.6362417Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-08-14T21:36:49.8023884Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-08-14T21:36:49.8072569Z Installing collected packages: torchvision 2025-08-14T21:36:50.0217272Z Successfully installed torchvision-0.22.0a0+966da7e 2025-08-14T21:36:50.0490948Z + '[' -n '' ']' 2025-08-14T21:36:50.0491387Z + id=0 2025-08-14T21:36:50.0491686Z + pip_install opencv-python==4.8.0.74 2025-08-14T21:36:50.0492145Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-08-14T21:36:50.0492686Z + python3 -m pip install --progress-bar off opencv-python==4.8.0.74 2025-08-14T21:36:50.3930907Z Collecting opencv-python==4.8.0.74 2025-08-14T21:36:50.4732238Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB) 2025-08-14T21:36:50.4823899Z Requirement already satisfied: numpy>=1.21.2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from opencv-python==4.8.0.74) (1.22.4) 2025-08-14T21:36:50.5077601Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (61.7 MB) 2025-08-14T21:36:51.6397532Z Installing collected packages: opencv-python 2025-08-14T21:36:51.6397786Z Attempting uninstall: opencv-python 2025-08-14T21:36:51.6401862Z Found existing installation: opencv-python 4.11.0.86 2025-08-14T21:36:51.6433056Z Uninstalling opencv-python-4.11.0.86: 2025-08-14T21:36:51.7339466Z Successfully uninstalled opencv-python-4.11.0.86 2025-08-14T21:36:52.2677253Z Successfully installed opencv-python-4.8.0.74 2025-08-14T21:36:52.3312324Z + [[ dynamic_aot_eager_torchbench == *inductor_torchbench_smoketest_perf* ]] 2025-08-14T21:36:52.3312979Z + [[ dynamic_aot_eager_torchbench == *inductor_torchbench_cpu_smoketest_perf* ]] 2025-08-14T21:36:52.3313205Z + [[ dynamic_aot_eager_torchbench == *torchbench_gcp_smoketest* ]] 2025-08-14T21:36:52.3313389Z + [[ dynamic_aot_eager_torchbench != *cpu* ]] 2025-08-14T21:36:52.3313530Z + install_torchrec_and_fbgemm 2025-08-14T21:36:52.3313647Z + local torchrec_commit 2025-08-14T21:36:52.3313768Z ++ get_pinned_commit torchrec 2025-08-14T21:36:52.3313896Z ++ cat .github/ci_commit_pins/torchrec.txt 2025-08-14T21:36:52.3324526Z + torchrec_commit=6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2 2025-08-14T21:36:52.3324833Z + local fbgemm_commit 2025-08-14T21:36:52.3331195Z ++ get_pinned_commit fbgemm 2025-08-14T21:36:52.3337382Z ++ cat .github/ci_commit_pins/fbgemm.txt 2025-08-14T21:36:52.3339970Z + fbgemm_commit=de731af65b4f04696e85c729e3282450b51b95fd 2025-08-14T21:36:52.3340182Z + [[ linux-jammy-rocm-py3_10 == *rocm* ]] 2025-08-14T21:36:52.3341283Z ++ get_pinned_commit fbgemm_rocm 2025-08-14T21:36:52.3341496Z ++ cat .github/ci_commit_pins/fbgemm_rocm.txt 2025-08-14T21:36:52.3347829Z + fbgemm_commit=7f1de94a4c2d14f59ad4ca84538c36084ea6b2c8 2025-08-14T21:36:52.3348838Z + pip_uninstall torchrec-nightly 2025-08-14T21:36:52.3349115Z + pip3 uninstall -y torchrec-nightly 2025-08-14T21:36:52.4968494Z WARNING: Skipping torchrec-nightly as it is not installed. 2025-08-14T21:36:52.5172912Z + pip_uninstall fbgemm-gpu-nightly 2025-08-14T21:36:52.5182143Z + pip3 uninstall -y fbgemm-gpu-nightly 2025-08-14T21:36:52.6830172Z WARNING: Skipping fbgemm-gpu-nightly as it is not installed. 2025-08-14T21:36:52.7142233Z + pip_install setuptools-git-versioning scikit-build pyre-extensions 2025-08-14T21:36:52.7143046Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-08-14T21:36:52.7143718Z + python3 -m pip install --progress-bar off setuptools-git-versioning scikit-build pyre-extensions 2025-08-14T21:36:52.8781544Z Requirement already satisfied: setuptools-git-versioning in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (2.1.0) 2025-08-14T21:36:52.8783763Z Requirement already satisfied: scikit-build in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (0.18.1) 2025-08-14T21:36:52.8784381Z Requirement already satisfied: pyre-extensions in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (0.0.32) 2025-08-14T21:36:52.8789938Z Requirement already satisfied: packaging in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from setuptools-git-versioning) (25.0) 2025-08-14T21:36:52.8790950Z Requirement already satisfied: setuptools in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from setuptools-git-versioning) (80.9.0) 2025-08-14T21:36:52.8801955Z Requirement already satisfied: tomli>=2.0.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from setuptools-git-versioning) (2.2.1) 2025-08-14T21:36:52.8815389Z Requirement already satisfied: distro in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from scikit-build) (1.9.0) 2025-08-14T21:36:52.8819402Z Requirement already satisfied: wheel>=0.32.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from scikit-build) (0.45.1) 2025-08-14T21:36:52.8823115Z Requirement already satisfied: typing-inspect in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from pyre-extensions) (0.9.0) 2025-08-14T21:36:52.8825164Z Requirement already satisfied: typing-extensions in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from pyre-extensions) (4.14.1) 2025-08-14T21:36:52.8861068Z Requirement already satisfied: mypy-extensions>=0.3.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from typing-inspect->pyre-extensions) (1.1.0) 2025-08-14T21:36:53.3256917Z + [[ linux-jammy-rocm-py3_10 == *rocm* ]] 2025-08-14T21:36:53.3257740Z + pip_build_and_install git+https://github.com/pytorch/torchrec.git@6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2 dist/torchrec 2025-08-14T21:36:53.3258699Z + local build_target=git+https://github.com/pytorch/torchrec.git@6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2 2025-08-14T21:36:53.3259627Z + local wheel_dir=dist/torchrec 2025-08-14T21:36:53.3259938Z + local found_whl=0 2025-08-14T21:36:53.3260233Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:36:53.3260571Z + [[ -f dist/torchrec/*.whl ]] 2025-08-14T21:36:53.3260863Z + '[' 0 == 0 ']' 2025-08-14T21:36:53.3261662Z + python3 -m pip wheel --no-build-isolation --no-deps --no-use-pep517 -w dist/torchrec git+https://github.com/pytorch/torchrec.git@6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2 2025-08-14T21:36:53.4942196Z Collecting git+https://github.com/pytorch/torchrec.git@6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2 2025-08-14T21:36:53.4950179Z Cloning https://github.com/pytorch/torchrec.git (to revision 6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2) to /tmp/pip-req-build-kh45j71q 2025-08-14T21:36:53.4953954Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/torchrec.git /tmp/pip-req-build-kh45j71q 2025-08-14T21:36:54.6939115Z Running command git rev-parse -q --verify 'sha^6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2' 2025-08-14T21:36:54.6953486Z Running command git fetch -q https://github.com/pytorch/torchrec.git 6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2 2025-08-14T21:36:54.9496015Z Running command git checkout -q 6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2 2025-08-14T21:36:55.4037670Z Resolved https://github.com/pytorch/torchrec.git to commit 6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2 2025-08-14T21:36:55.5170496Z Preparing metadata (setup.py) ... [?25l- done 2025-08-14T21:36:55.5194460Z [?25hBuilding wheels for collected packages: torchrec 2025-08-14T21:36:55.5238077Z  DEPRECATION: Building 'torchrec' 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 'torchrec'. Discussion can be found at https://github.com/pypa/pip/issues/6334 2025-08-14T21:36:55.7290386Z  Building wheel for torchrec (setup.py) ... [?25l- \ done 2025-08-14T21:36:55.7297531Z [?25h Created wheel for torchrec: filename=torchrec-0.3.2-py3-none-any.whl size=374580 sha256=1d7649247df5b492db30b623b3d45cb2b47875145d877345af7378819ad1078c 2025-08-14T21:36:55.7298136Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/8e/a1/47/39ede01672ba82c08fb521bfc057cc4347e4b0e951738c8ca8 2025-08-14T21:36:55.7316756Z Successfully built torchrec 2025-08-14T21:36:55.7820689Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:36:55.7820947Z + pip_install_whl dist/torchrec/torchrec-0.3.2-py3-none-any.whl 2025-08-14T21:36:55.7826710Z + args=('dist/torchrec/torchrec-0.3.2-py3-none-any.whl') 2025-08-14T21:36:55.7826857Z + local args 2025-08-14T21:36:55.7826993Z + [[ dist/torchrec/torchrec-0.3.2-py3-none-any.whl == *\ * ]] 2025-08-14T21:36:55.7827156Z + for path in "${args[@]}" 2025-08-14T21:36:55.7827313Z + echo 'Installing dist/torchrec/torchrec-0.3.2-py3-none-any.whl' 2025-08-14T21:36:55.7827531Z Installing dist/torchrec/torchrec-0.3.2-py3-none-any.whl 2025-08-14T21:36:55.7827770Z + python3 -mpip install --no-index --no-deps dist/torchrec/torchrec-0.3.2-py3-none-any.whl 2025-08-14T21:36:55.9562019Z Processing ./dist/torchrec/torchrec-0.3.2-py3-none-any.whl 2025-08-14T21:36:55.9594707Z Installing collected packages: torchrec 2025-08-14T21:36:56.1000626Z Successfully installed torchrec-0.3.2 2025-08-14T21:36:56.1211990Z + pip_uninstall fbgemm-gpu-nightly 2025-08-14T21:36:56.1212271Z + pip3 uninstall -y fbgemm-gpu-nightly 2025-08-14T21:36:56.2845939Z WARNING: Skipping fbgemm-gpu-nightly as it is not installed. 2025-08-14T21:36:56.3075345Z + ROCM_HOME=/opt/rocm 2025-08-14T21:36:56.3075638Z + rocm_version_h=/opt/rocm/include/rocm-core/rocm_version.h 2025-08-14T21:36:56.3075845Z + '[' '!' -f /opt/rocm/include/rocm-core/rocm_version.h ']' 2025-08-14T21:36:56.3076016Z + '[' '!' -f /opt/rocm/include/rocm-core/rocm_version.h ']' 2025-08-14T21:36:56.3085219Z ++ grep ROCM_VERSION_MAJOR /opt/rocm/include/rocm-core/rocm_version.h 2025-08-14T21:36:56.3087746Z ++ awk '{print $3}' 2025-08-14T21:36:56.3105677Z + MAJOR_VERSION=6 2025-08-14T21:36:56.3112650Z ++ grep ROCM_VERSION_MINOR /opt/rocm/include/rocm-core/rocm_version.h 2025-08-14T21:36:56.3113062Z ++ awk '{print $3}' 2025-08-14T21:36:56.3127356Z + MINOR_VERSION=4 2025-08-14T21:36:56.3134932Z ++ grep ROCM_VERSION_PATCH /opt/rocm/include/rocm-core/rocm_version.h 2025-08-14T21:36:56.3136683Z ++ awk '{print $3}' 2025-08-14T21:36:56.3149132Z + PATCH_VERSION=2 2025-08-14T21:36:56.3149410Z + ROCM_INT=60402 2025-08-14T21:36:56.3149534Z + echo 'ROCm version: 60402' 2025-08-14T21:36:56.3149657Z ROCm version: 60402 2025-08-14T21:36:56.3149786Z + export BUILD_ROCM_VERSION=6.4 2025-08-14T21:36:56.3154971Z + BUILD_ROCM_VERSION=6.4 2025-08-14T21:36:56.3155098Z + pip_install tabulate 2025-08-14T21:36:56.3155254Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-08-14T21:36:56.3155456Z + python3 -m pip install --progress-bar off tabulate 2025-08-14T21:36:56.4848094Z Requirement already satisfied: tabulate in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (0.9.0) 2025-08-14T21:36:56.9277724Z + pip_install patchelf 2025-08-14T21:36:56.9277926Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-08-14T21:36:56.9278117Z + python3 -m pip install --progress-bar off patchelf 2025-08-14T21:36:57.1957369Z Collecting patchelf 2025-08-14T21:36:57.2744534Z Downloading patchelf-0.17.2.4-py3-none-manylinux1_x86_64.manylinux_2_5_x86_64.musllinux_1_1_x86_64.whl.metadata (3.7 kB) 2025-08-14T21:36:57.3396396Z Downloading patchelf-0.17.2.4-py3-none-manylinux1_x86_64.manylinux_2_5_x86_64.musllinux_1_1_x86_64.whl (482 kB) 2025-08-14T21:36:57.8175119Z Installing collected packages: patchelf 2025-08-14T21:36:57.8426739Z Successfully installed patchelf-0.17.2.4 2025-08-14T21:36:57.9103703Z + local wheel_dir=dist/fbgemm_gpu 2025-08-14T21:36:57.9105019Z + local found_whl=0 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objects: 52% (100/191) 2025-08-14T21:36:58.1651774Z remote: Counting objects: 53% (102/191) 2025-08-14T21:36:58.1651915Z remote: Counting objects: 54% (104/191) 2025-08-14T21:36:58.1652053Z remote: Counting objects: 55% (106/191) 2025-08-14T21:36:58.1652190Z remote: Counting objects: 56% (107/191) 2025-08-14T21:36:58.1652327Z remote: Counting objects: 57% (109/191) 2025-08-14T21:36:58.1652463Z remote: Counting objects: 58% (111/191) 2025-08-14T21:36:58.1652601Z remote: Counting objects: 59% (113/191) 2025-08-14T21:36:58.1653788Z remote: Counting objects: 60% (115/191) 2025-08-14T21:36:58.1653927Z remote: Counting objects: 61% (117/191) 2025-08-14T21:36:58.1654064Z remote: Counting objects: 62% (119/191) 2025-08-14T21:36:58.1654201Z remote: Counting objects: 63% (121/191) 2025-08-14T21:36:58.1654337Z remote: Counting objects: 64% (123/191) 2025-08-14T21:36:58.1654488Z remote: Counting objects: 65% (125/191) 2025-08-14T21:36:58.1654628Z remote: Counting objects: 66% (127/191) 2025-08-14T21:36:58.1654767Z remote: Counting objects: 67% (128/191) 2025-08-14T21:36:58.1654903Z remote: Counting objects: 68% (130/191) 2025-08-14T21:36:58.1655040Z remote: Counting objects: 69% (132/191) 2025-08-14T21:36:58.1656154Z remote: Counting objects: 70% (134/191) 2025-08-14T21:36:58.1656309Z remote: Counting objects: 71% (136/191) 2025-08-14T21:36:58.1656446Z remote: Counting objects: 72% (138/191) 2025-08-14T21:36:58.1656584Z remote: Counting objects: 73% (140/191) 2025-08-14T21:36:58.1656721Z remote: Counting objects: 74% (142/191) 2025-08-14T21:36:58.1656863Z remote: Counting objects: 75% (144/191) 2025-08-14T21:36:58.1657000Z remote: Counting objects: 76% (146/191) 2025-08-14T21:36:58.1657136Z remote: Counting objects: 77% (148/191) 2025-08-14T21:36:58.1657272Z remote: Counting objects: 78% (149/191) 2025-08-14T21:36:58.1657409Z remote: Counting objects: 79% (151/191) 2025-08-14T21:36:58.1657631Z remote: Counting objects: 80% (153/191) 2025-08-14T21:36:58.1658733Z remote: Counting objects: 81% (155/191) 2025-08-14T21:36:58.1658889Z remote: Counting objects: 82% (157/191) 2025-08-14T21:36:58.1659029Z remote: Counting objects: 83% (159/191) 2025-08-14T21:36:58.1659165Z remote: Counting objects: 84% (161/191) 2025-08-14T21:36:58.1659301Z remote: Counting objects: 85% (163/191) 2025-08-14T21:36:58.1659437Z remote: Counting objects: 86% (165/191) 2025-08-14T21:36:58.1659574Z remote: Counting objects: 87% (167/191) 2025-08-14T21:36:58.1659712Z remote: Counting objects: 88% (169/191) 2025-08-14T21:36:58.1659848Z remote: Counting objects: 89% (170/191) 2025-08-14T21:36:58.1659984Z remote: Counting objects: 90% (172/191) 2025-08-14T21:36:58.1660120Z remote: Counting objects: 91% (174/191) 2025-08-14T21:36:58.1661212Z remote: Counting objects: 92% (176/191) 2025-08-14T21:36:58.1661356Z remote: Counting objects: 93% (178/191) 2025-08-14T21:36:58.1661501Z remote: Counting objects: 94% (180/191) 2025-08-14T21:36:58.1661639Z remote: Counting objects: 95% (182/191) 2025-08-14T21:36:58.1661776Z remote: Counting objects: 96% (184/191) 2025-08-14T21:36:58.1661912Z remote: Counting objects: 97% (186/191) 2025-08-14T21:36:58.1662047Z remote: Counting objects: 98% (188/191) 2025-08-14T21:36:58.1662184Z remote: Counting objects: 99% (190/191) 2025-08-14T21:36:58.1662321Z remote: Counting objects: 100% (191/191) 2025-08-14T21:36:58.1662468Z remote: Counting objects: 100% (191/191), done. 2025-08-14T21:36:58.1662629Z remote: Compressing objects: 0% (1/122) 2025-08-14T21:36:58.1663715Z remote: Compressing objects: 1% (2/122) 2025-08-14T21:36:58.1663870Z remote: Compressing objects: 2% (3/122) 2025-08-14T21:36:58.1664013Z remote: Compressing objects: 3% (4/122) 2025-08-14T21:36:58.1664155Z remote: Compressing objects: 4% (5/122) 2025-08-14T21:36:58.1680670Z remote: Compressing objects: 5% (7/122) 2025-08-14T21:36:58.1687464Z remote: Compressing objects: 6% (8/122) 2025-08-14T21:36:58.1696956Z remote: Compressing objects: 7% (9/122) 2025-08-14T21:36:58.1786939Z remote: Compressing objects: 8% (10/122) 2025-08-14T21:36:58.1867153Z remote: Compressing objects: 9% (11/122) 2025-08-14T21:36:58.1957976Z remote: Compressing objects: 10% (13/122) 2025-08-14T21:36:58.2072894Z remote: Compressing objects: 11% (14/122) 2025-08-14T21:36:58.2098372Z remote: Compressing objects: 12% (15/122) 2025-08-14T21:36:58.2237824Z remote: Compressing objects: 13% (16/122) 2025-08-14T21:36:58.2319029Z remote: Compressing objects: 14% (18/122) 2025-08-14T21:36:58.2383181Z remote: Compressing objects: 15% (19/122) 2025-08-14T21:36:58.2431777Z remote: Compressing objects: 16% (20/122) 2025-08-14T21:36:58.2475418Z remote: Compressing objects: 17% (21/122) 2025-08-14T21:36:58.2520174Z remote: Compressing objects: 18% (22/122) 2025-08-14T21:36:58.2530409Z remote: Compressing objects: 19% (24/122) 2025-08-14T21:36:58.2530585Z remote: Compressing objects: 20% (25/122) 2025-08-14T21:36:58.2540730Z remote: Compressing objects: 21% (26/122) 2025-08-14T21:36:58.2555113Z remote: Compressing objects: 22% (27/122) 2025-08-14T21:36:58.2562525Z remote: Compressing objects: 23% (29/122) 2025-08-14T21:36:58.2570849Z remote: Compressing objects: 24% (30/122) 2025-08-14T21:36:58.2571413Z remote: Compressing objects: 25% (31/122) 2025-08-14T21:36:58.2571590Z remote: Compressing objects: 26% (32/122) 2025-08-14T21:36:58.2577040Z remote: Compressing objects: 27% (33/122) 2025-08-14T21:36:58.2578824Z remote: Compressing objects: 28% (35/122) 2025-08-14T21:36:58.2590506Z remote: Compressing objects: 29% (36/122) 2025-08-14T21:36:58.2590838Z remote: Compressing objects: 30% (37/122) 2025-08-14T21:36:58.2597304Z remote: Compressing objects: 31% (38/122) 2025-08-14T21:36:58.2599528Z remote: Compressing objects: 32% (40/122) 2025-08-14T21:36:58.2601091Z remote: Compressing objects: 33% (41/122) 2025-08-14T21:36:58.2603699Z remote: Compressing objects: 34% (42/122) 2025-08-14T21:36:58.2604076Z remote: Compressing objects: 35% (43/122) 2025-08-14T21:36:58.2608271Z remote: Compressing objects: 36% (44/122) 2025-08-14T21:36:58.2608428Z remote: Compressing objects: 37% (46/122) 2025-08-14T21:36:58.2610445Z remote: Compressing objects: 38% (47/122) 2025-08-14T21:36:58.2611435Z remote: Compressing objects: 39% (48/122) 2025-08-14T21:36:58.2616785Z remote: Compressing objects: 40% (49/122) 2025-08-14T21:36:58.2617214Z remote: Compressing objects: 41% (51/122) 2025-08-14T21:36:58.2617382Z remote: Compressing objects: 42% (52/122) 2025-08-14T21:36:58.2618532Z remote: Compressing objects: 43% (53/122) 2025-08-14T21:36:58.2620728Z remote: Compressing objects: 44% (54/122) 2025-08-14T21:36:58.2622871Z remote: Compressing objects: 45% (55/122) 2025-08-14T21:36:58.2623040Z remote: Compressing objects: 46% (57/122) 2025-08-14T21:36:58.2625974Z remote: Compressing objects: 47% (58/122) 2025-08-14T21:36:58.2626147Z remote: Compressing objects: 48% (59/122) 2025-08-14T21:36:58.2626297Z remote: Compressing objects: 49% (60/122) 2025-08-14T21:36:58.2626444Z remote: Compressing objects: 50% (61/122) 2025-08-14T21:36:58.2626596Z remote: Compressing objects: 51% (63/122) 2025-08-14T21:36:58.2626751Z remote: Compressing objects: 52% (64/122) 2025-08-14T21:36:58.2670341Z remote: Compressing objects: 53% (65/122) 2025-08-14T21:36:58.2670541Z remote: Compressing objects: 54% (66/122) 2025-08-14T21:36:58.2670693Z remote: Compressing objects: 55% (68/122) 2025-08-14T21:36:58.2670847Z remote: Compressing objects: 56% (69/122) 2025-08-14T21:36:58.2670994Z remote: Compressing objects: 57% (70/122) 2025-08-14T21:36:58.2671142Z remote: Compressing objects: 58% (71/122) 2025-08-14T21:36:58.2671288Z remote: Compressing objects: 59% (72/122) 2025-08-14T21:36:58.2671444Z remote: Compressing objects: 60% (74/122) 2025-08-14T21:36:58.2671593Z remote: Compressing objects: 61% (75/122) 2025-08-14T21:36:58.2672047Z remote: Compressing objects: 62% (76/122) 2025-08-14T21:36:58.2672194Z remote: Compressing objects: 63% (77/122) 2025-08-14T21:36:58.2673989Z remote: Compressing objects: 64% (79/122) 2025-08-14T21:36:58.2674137Z remote: Compressing objects: 65% (80/122) 2025-08-14T21:36:58.2674286Z remote: Compressing objects: 66% (81/122) 2025-08-14T21:36:58.2674430Z remote: Compressing objects: 67% (82/122) 2025-08-14T21:36:58.2674573Z remote: Compressing objects: 68% (83/122) 2025-08-14T21:36:58.2674729Z remote: Compressing objects: 69% (85/122) 2025-08-14T21:36:58.2674875Z remote: Compressing objects: 70% (86/122) 2025-08-14T21:36:58.2675018Z remote: Compressing objects: 71% (87/122) 2025-08-14T21:36:58.2675161Z remote: Compressing objects: 72% (88/122) 2025-08-14T21:36:58.2675305Z remote: Compressing objects: 73% (90/122) 2025-08-14T21:36:58.2676769Z remote: Compressing objects: 74% (91/122) 2025-08-14T21:36:58.2676929Z remote: Compressing objects: 75% (92/122) 2025-08-14T21:36:58.2677078Z remote: Compressing objects: 76% (93/122) 2025-08-14T21:36:58.2677221Z remote: Compressing objects: 77% (94/122) 2025-08-14T21:36:58.2677365Z remote: Compressing objects: 78% (96/122) 2025-08-14T21:36:58.2677512Z remote: Compressing objects: 79% (97/122) 2025-08-14T21:36:58.2677663Z remote: Compressing objects: 80% (98/122) 2025-08-14T21:36:58.2677807Z remote: Compressing objects: 81% (99/122) 2025-08-14T21:36:58.2677955Z remote: Compressing objects: 82% (101/122) 2025-08-14T21:36:58.2678105Z remote: Compressing objects: 83% (102/122) 2025-08-14T21:36:58.2678253Z remote: Compressing objects: 84% (103/122) 2025-08-14T21:36:58.2679425Z remote: Compressing objects: 85% (104/122) 2025-08-14T21:36:58.2679578Z remote: Compressing objects: 86% (105/122) 2025-08-14T21:36:58.2679723Z remote: Compressing objects: 87% (107/122) 2025-08-14T21:36:58.2680005Z remote: Compressing objects: 88% (108/122) 2025-08-14T21:36:58.2680154Z remote: Compressing objects: 89% (109/122) 2025-08-14T21:36:58.2680300Z remote: Compressing objects: 90% (110/122) 2025-08-14T21:36:58.2680446Z remote: Compressing objects: 91% (112/122) 2025-08-14T21:36:58.2680593Z remote: Compressing objects: 92% (113/122) 2025-08-14T21:36:58.2680738Z remote: Compressing objects: 93% (114/122) 2025-08-14T21:36:58.2680884Z remote: Compressing objects: 94% (115/122) 2025-08-14T21:36:58.2681029Z remote: Compressing objects: 95% (116/122) 2025-08-14T21:36:58.2682189Z remote: Compressing objects: 96% (118/122) 2025-08-14T21:36:58.2682341Z remote: Compressing objects: 97% (119/122) 2025-08-14T21:36:58.2682488Z remote: Compressing objects: 98% (120/122) 2025-08-14T21:36:58.2682634Z remote: Compressing objects: 99% (121/122) 2025-08-14T21:36:58.2682904Z remote: Compressing objects: 100% (122/122) 2025-08-14T21:36:58.2683071Z remote: Compressing objects: 100% (122/122), done. 2025-08-14T21:36:58.3000592Z Receiving objects: 0% (1/59544) 2025-08-14T21:36:58.3315881Z Receiving objects: 1% (596/59544) 2025-08-14T21:36:58.3577672Z Receiving objects: 2% (1191/59544) 2025-08-14T21:36:58.3997431Z Receiving objects: 3% (1787/59544) 2025-08-14T21:36:58.4559560Z Receiving objects: 4% (2382/59544) 2025-08-14T21:36:58.4978949Z Receiving objects: 5% (2978/59544) 2025-08-14T21:36:58.5367725Z Receiving objects: 6% (3573/59544) 2025-08-14T21:36:58.5744005Z Receiving objects: 7% (4169/59544) 2025-08-14T21:36:58.6106271Z Receiving objects: 8% (4764/59544) 2025-08-14T21:36:58.6453072Z Receiving objects: 9% (5359/59544) 2025-08-14T21:36:58.6717657Z Receiving objects: 10% (5955/59544) 2025-08-14T21:36:58.8097448Z Receiving objects: 11% (6550/59544) 2025-08-14T21:36:58.8295940Z Receiving objects: 12% (7146/59544), 3.51 MiB | 7.01 MiB/s 2025-08-14T21:36:58.8800155Z Receiving objects: 13% (7741/59544), 3.51 MiB | 7.01 MiB/s 2025-08-14T21:36:58.9227095Z Receiving objects: 14% (8337/59544), 3.51 MiB | 7.01 MiB/s 2025-08-14T21:36:58.9610300Z Receiving objects: 15% (8932/59544), 3.51 MiB | 7.01 MiB/s 2025-08-14T21:36:59.0351831Z Receiving objects: 16% (9528/59544), 3.51 MiB | 7.01 MiB/s 2025-08-14T21:36:59.0563035Z Receiving objects: 17% (10123/59544), 3.51 MiB | 7.01 MiB/s 2025-08-14T21:36:59.0745497Z Receiving objects: 18% (10718/59544), 3.51 MiB | 7.01 MiB/s 2025-08-14T21:36:59.0959623Z Receiving objects: 19% (11314/59544), 3.51 MiB | 7.01 MiB/s 2025-08-14T21:36:59.1187266Z Receiving objects: 20% (11909/59544), 3.51 MiB | 7.01 MiB/s 2025-08-14T21:36:59.1346991Z Receiving objects: 21% (12505/59544), 3.51 MiB | 7.01 MiB/s 2025-08-14T21:36:59.1540445Z Receiving objects: 22% (13100/59544), 3.51 MiB | 7.01 MiB/s 2025-08-14T21:36:59.1737795Z Receiving objects: 23% (13696/59544), 3.51 MiB | 7.01 MiB/s 2025-08-14T21:36:59.1944326Z Receiving objects: 24% (14291/59544), 3.51 MiB | 7.01 MiB/s 2025-08-14T21:36:59.2031943Z Receiving objects: 25% (14886/59544), 3.51 MiB | 7.01 MiB/s 2025-08-14T21:36:59.2222556Z Receiving objects: 26% (15482/59544), 3.51 MiB | 7.01 MiB/s 2025-08-14T21:36:59.2391837Z Receiving objects: 27% (16077/59544), 3.51 MiB | 7.01 MiB/s 2025-08-14T21:36:59.2548824Z Receiving objects: 28% (16673/59544), 3.51 MiB | 7.01 MiB/s 2025-08-14T21:36:59.2638366Z Receiving objects: 29% (17268/59544), 3.51 MiB | 7.01 MiB/s 2025-08-14T21:36:59.2738145Z Receiving objects: 30% (17864/59544), 3.51 MiB | 7.01 MiB/s 2025-08-14T21:36:59.2813129Z Receiving objects: 30% (18150/59544), 3.51 MiB | 7.01 MiB/s 2025-08-14T21:36:59.2942478Z Receiving objects: 31% (18459/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.3016696Z Receiving objects: 32% (19055/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.3164394Z Receiving objects: 33% (19650/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.3206109Z Receiving objects: 34% (20245/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.3363412Z Receiving objects: 35% (20841/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.3431528Z Receiving objects: 36% (21436/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.3581884Z Receiving objects: 37% (22032/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.3668133Z Receiving objects: 38% (22627/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.3796875Z Receiving objects: 39% (23223/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.3910543Z Receiving objects: 40% (23818/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.3981289Z Receiving objects: 41% (24414/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.4027978Z Receiving objects: 42% (25009/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.4106779Z Receiving objects: 43% (25604/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.4158283Z Receiving objects: 44% (26200/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.4182262Z Receiving objects: 45% (26795/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.4200315Z Receiving objects: 46% (27391/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.4229042Z Receiving objects: 47% (27986/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.4300863Z Receiving objects: 48% (28582/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.4339138Z Receiving objects: 49% (29177/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.4380825Z Receiving objects: 50% (29772/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.4448127Z Receiving objects: 51% (30368/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.4544487Z Receiving objects: 52% (30963/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.4583452Z Receiving objects: 53% (31559/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.4628631Z Receiving objects: 54% (32154/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.4692264Z Receiving objects: 55% (32750/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.4705040Z Receiving objects: 56% (33345/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.4735555Z Receiving objects: 57% (33941/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.4774255Z Receiving objects: 58% (34536/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.4804572Z Receiving objects: 59% (35131/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.4835749Z Receiving objects: 60% (35727/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.4897303Z Receiving objects: 61% (36322/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.4935339Z Receiving objects: 62% (36918/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.4968496Z Receiving objects: 63% (37513/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.5036375Z Receiving objects: 64% (38109/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.5061422Z Receiving objects: 65% (38704/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.5068522Z Receiving objects: 66% (39300/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.5083782Z Receiving objects: 67% (39895/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.5115385Z Receiving objects: 68% (40490/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.5126811Z Receiving objects: 69% (41086/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.5132448Z Receiving objects: 70% (41681/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.5135569Z Receiving objects: 71% (42277/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.5144877Z Receiving objects: 72% (42872/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.5161183Z Receiving objects: 73% (43468/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.5175176Z Receiving objects: 74% (44063/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.5186241Z Receiving objects: 75% (44658/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.5199276Z Receiving objects: 76% (45254/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.5209106Z Receiving objects: 77% (45849/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.5217639Z Receiving objects: 78% (46445/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.5230870Z Receiving objects: 79% (47040/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.5245184Z Receiving objects: 80% (47636/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.5290303Z Receiving objects: 81% (48231/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.5314306Z Receiving objects: 82% (48827/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.5322877Z Receiving objects: 83% (49422/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.5341131Z Receiving objects: 84% (50017/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.5357515Z Receiving objects: 85% (50613/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.5377940Z Receiving objects: 86% (51208/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.5384797Z Receiving objects: 87% (51804/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.5404410Z Receiving objects: 88% (52399/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.5409265Z Receiving objects: 89% (52995/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.5421369Z Receiving objects: 90% (53590/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.5431453Z Receiving objects: 91% (54186/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.5441479Z Receiving objects: 92% (54781/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.5450088Z Receiving objects: 93% (55376/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.5484515Z Receiving objects: 94% (55972/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.5518522Z Receiving objects: 95% (56567/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.5532052Z Receiving objects: 96% (57163/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.5552108Z Receiving objects: 97% (57758/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.5570625Z Receiving objects: 98% (58354/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.5691629Z Receiving objects: 99% (58949/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.5692124Z remote: Total 59544 (delta 127), reused 71 (delta 69), pack-reused 59353 (from 2) 2025-08-14T21:36:59.5703426Z Receiving objects: 100% (59544/59544), 15.15 MiB | 15.14 MiB/s 2025-08-14T21:36:59.5703627Z Receiving objects: 100% (59544/59544), 32.31 MiB | 24.93 MiB/s, done. 2025-08-14T21:36:59.5756038Z Resolving deltas: 0% (0/47465) 2025-08-14T21:36:59.5784134Z Resolving deltas: 1% (475/47465) 2025-08-14T21:36:59.5834397Z Resolving deltas: 2% (950/47465) 2025-08-14T21:36:59.5851272Z Resolving deltas: 3% (1424/47465) 2025-08-14T21:36:59.5868212Z Resolving deltas: 4% (1900/47465) 2025-08-14T21:36:59.5883497Z Resolving deltas: 5% (2375/47465) 2025-08-14T21:36:59.5923609Z Resolving deltas: 6% (2850/47465) 2025-08-14T21:36:59.5923842Z Resolving deltas: 7% (3324/47465) 2025-08-14T21:36:59.5934314Z Resolving deltas: 8% (3798/47465) 2025-08-14T21:36:59.5951699Z Resolving deltas: 9% (4272/47465) 2025-08-14T21:36:59.5965469Z Resolving deltas: 10% (4747/47465) 2025-08-14T21:36:59.5980636Z Resolving deltas: 11% (5224/47465) 2025-08-14T21:36:59.5994652Z Resolving deltas: 12% (5696/47465) 2025-08-14T21:36:59.6019484Z Resolving deltas: 13% (6172/47465) 2025-08-14T21:36:59.6042652Z Resolving deltas: 14% (6647/47465) 2025-08-14T21:36:59.6062038Z Resolving deltas: 15% (7120/47465) 2025-08-14T21:36:59.6078814Z Resolving deltas: 16% (7596/47465) 2025-08-14T21:36:59.6095275Z Resolving deltas: 17% (8070/47465) 2025-08-14T21:36:59.6110855Z Resolving deltas: 18% (8544/47465) 2025-08-14T21:36:59.6127643Z Resolving deltas: 19% (9019/47465) 2025-08-14T21:36:59.6142253Z Resolving deltas: 20% (9493/47465) 2025-08-14T21:36:59.6158751Z Resolving deltas: 21% (9968/47465) 2025-08-14T21:36:59.6177584Z Resolving deltas: 22% (10443/47465) 2025-08-14T21:36:59.6192845Z Resolving deltas: 23% (10917/47465) 2025-08-14T21:36:59.6212349Z Resolving deltas: 24% (11392/47465) 2025-08-14T21:36:59.6278404Z Resolving deltas: 25% (11867/47465) 2025-08-14T21:36:59.6330075Z Resolving deltas: 26% (12341/47465) 2025-08-14T21:36:59.6360123Z Resolving deltas: 27% (12817/47465) 2025-08-14T21:36:59.6384532Z Resolving deltas: 28% (13292/47465) 2025-08-14T21:36:59.6396886Z Resolving deltas: 29% (13769/47465) 2025-08-14T21:36:59.6414702Z Resolving deltas: 30% (14240/47465) 2025-08-14T21:36:59.6428072Z Resolving deltas: 31% (14715/47465) 2025-08-14T21:36:59.6441512Z Resolving deltas: 32% (15189/47465) 2025-08-14T21:36:59.6455577Z Resolving deltas: 33% (15664/47465) 2025-08-14T21:36:59.6468566Z Resolving deltas: 34% (16139/47465) 2025-08-14T21:36:59.6481221Z Resolving deltas: 35% (16613/47465) 2025-08-14T21:36:59.6499637Z Resolving deltas: 36% (17090/47465) 2025-08-14T21:36:59.6569748Z Resolving deltas: 37% (17563/47465) 2025-08-14T21:36:59.6643278Z Resolving deltas: 38% (18037/47465) 2025-08-14T21:36:59.6719463Z Resolving deltas: 39% (18512/47465) 2025-08-14T21:36:59.6787440Z Resolving deltas: 40% (18986/47465) 2025-08-14T21:36:59.6841995Z Resolving deltas: 41% (19461/47465) 2025-08-14T21:36:59.6989189Z Resolving deltas: 42% (19936/47465) 2025-08-14T21:36:59.7157636Z Resolving deltas: 43% (20410/47465) 2025-08-14T21:36:59.7182515Z Resolving deltas: 44% (20885/47465) 2025-08-14T21:36:59.7201889Z Resolving deltas: 45% (21360/47465) 2025-08-14T21:36:59.7220281Z Resolving deltas: 46% (21834/47465) 2025-08-14T21:36:59.7233925Z Resolving deltas: 47% (22310/47465) 2025-08-14T21:36:59.7247707Z Resolving deltas: 48% (22785/47465) 2025-08-14T21:36:59.7328695Z Resolving deltas: 49% (23261/47465) 2025-08-14T21:36:59.7420974Z Resolving deltas: 50% (23733/47465) 2025-08-14T21:36:59.7445047Z Resolving deltas: 51% (24208/47465) 2025-08-14T21:36:59.7474206Z Resolving deltas: 52% (24682/47465) 2025-08-14T21:36:59.7492169Z Resolving deltas: 53% (25157/47465) 2025-08-14T21:36:59.7513964Z Resolving deltas: 54% (25632/47465) 2025-08-14T21:36:59.7535256Z Resolving deltas: 55% (26122/47465) 2025-08-14T21:36:59.7559996Z Resolving deltas: 56% (26581/47465) 2025-08-14T21:36:59.7578293Z Resolving deltas: 57% (27056/47465) 2025-08-14T21:36:59.7600089Z Resolving deltas: 58% (27530/47465) 2025-08-14T21:36:59.7624012Z Resolving deltas: 59% (28006/47465) 2025-08-14T21:36:59.7641543Z Resolving deltas: 60% (28479/47465) 2025-08-14T21:36:59.7657372Z Resolving deltas: 61% (28954/47465) 2025-08-14T21:36:59.7677625Z Resolving deltas: 62% (29430/47465) 2025-08-14T21:36:59.7695422Z Resolving deltas: 63% (29903/47465) 2025-08-14T21:36:59.7716859Z Resolving deltas: 64% (30378/47465) 2025-08-14T21:36:59.7730878Z Resolving deltas: 65% (30853/47465) 2025-08-14T21:36:59.7756131Z Resolving deltas: 66% (31328/47465) 2025-08-14T21:36:59.7775044Z Resolving deltas: 67% (31802/47465) 2025-08-14T21:36:59.7795963Z Resolving deltas: 68% (32277/47465) 2025-08-14T21:36:59.7822023Z Resolving deltas: 69% (32751/47465) 2025-08-14T21:36:59.7853954Z Resolving deltas: 70% (33226/47465) 2025-08-14T21:36:59.7877748Z Resolving deltas: 71% (33701/47465) 2025-08-14T21:36:59.7895401Z Resolving deltas: 72% (34175/47465) 2025-08-14T21:36:59.7916573Z Resolving deltas: 73% (34650/47465) 2025-08-14T21:36:59.7939824Z Resolving deltas: 74% (35125/47465) 2025-08-14T21:36:59.7961785Z Resolving deltas: 75% (35599/47465) 2025-08-14T21:36:59.7981490Z Resolving deltas: 76% (36074/47465) 2025-08-14T21:36:59.8004044Z Resolving deltas: 77% (36549/47465) 2025-08-14T21:36:59.8027135Z Resolving deltas: 78% (37024/47465) 2025-08-14T21:36:59.8050041Z Resolving deltas: 79% (37498/47465) 2025-08-14T21:36:59.8074480Z Resolving deltas: 80% (37972/47465) 2025-08-14T21:36:59.8095336Z Resolving deltas: 81% (38447/47465) 2025-08-14T21:36:59.8119575Z Resolving deltas: 82% (38922/47465) 2025-08-14T21:36:59.8136607Z Resolving deltas: 83% (39396/47465) 2025-08-14T21:36:59.8153939Z Resolving deltas: 84% (39872/47465) 2025-08-14T21:36:59.8171000Z Resolving deltas: 85% (40346/47465) 2025-08-14T21:36:59.8188917Z Resolving deltas: 86% (40820/47465) 2025-08-14T21:36:59.8213106Z Resolving deltas: 87% (41295/47465) 2025-08-14T21:36:59.8236068Z Resolving deltas: 88% (41770/47465) 2025-08-14T21:36:59.8260884Z Resolving deltas: 89% (42244/47465) 2025-08-14T21:36:59.8283223Z Resolving deltas: 90% (42719/47465) 2025-08-14T21:36:59.8309881Z Resolving deltas: 91% (43194/47465) 2025-08-14T21:36:59.8330167Z Resolving deltas: 92% (43668/47465) 2025-08-14T21:36:59.8351570Z Resolving deltas: 93% (44143/47465) 2025-08-14T21:36:59.8382871Z Resolving deltas: 94% (44618/47465) 2025-08-14T21:36:59.8405882Z Resolving deltas: 95% (45092/47465) 2025-08-14T21:36:59.8427742Z Resolving deltas: 96% (45567/47465) 2025-08-14T21:36:59.8451247Z Resolving deltas: 97% (46042/47465) 2025-08-14T21:36:59.8476662Z Resolving deltas: 98% (46516/47465) 2025-08-14T21:36:59.8519852Z Resolving deltas: 99% (46992/47465) 2025-08-14T21:36:59.8521816Z Resolving deltas: 100% (47465/47465) 2025-08-14T21:36:59.8521942Z Resolving deltas: 100% (47465/47465), done. 2025-08-14T21:36:59.9937812Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'external/asmjit' 2025-08-14T21:36:59.9940370Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'external/composable_kernel' 2025-08-14T21:36:59.9941440Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'external/cpuinfo' 2025-08-14T21:36:59.9942352Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'external/cutlass' 2025-08-14T21:36:59.9943456Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'external/googletest' 2025-08-14T21:36:59.9944450Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'external/hipify_torch' 2025-08-14T21:36:59.9945396Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'external/json' 2025-08-14T21:36:59.9972052Z Cloning into '/var/lib/jenkins/pytorch/fbgemm/external/asmjit'... 2025-08-14T21:37:00.2015186Z remote: Enumerating objects: 7290, done. 2025-08-14T21:37:00.2015431Z remote: Counting objects: 0% (1/1627) 2025-08-14T21:37:00.2020540Z remote: Counting objects: 1% (17/1627) 2025-08-14T21:37:00.2020704Z remote: Counting objects: 2% (33/1627) 2025-08-14T21:37:00.2020892Z remote: Counting objects: 3% (49/1627) 2025-08-14T21:37:00.2021237Z remote: Counting objects: 4% (66/1627) 2025-08-14T21:37:00.2021374Z remote: Counting objects: 5% (82/1627) 2025-08-14T21:37:00.2021508Z remote: Counting objects: 6% (98/1627) 2025-08-14T21:37:00.2021646Z remote: Counting objects: 7% (114/1627) 2025-08-14T21:37:00.2021786Z remote: Counting objects: 8% (131/1627) 2025-08-14T21:37:00.2021923Z remote: Counting objects: 9% (147/1627) 2025-08-14T21:37:00.2022052Z remote: Counting objects: 10% (163/1627) 2025-08-14T21:37:00.2022185Z remote: Counting objects: 11% (179/1627) 2025-08-14T21:37:00.2024035Z remote: Counting objects: 12% (196/1627) 2025-08-14T21:37:00.2100313Z remote: Counting objects: 13% (212/1627) 2025-08-14T21:37:00.2100462Z remote: Counting objects: 14% (228/1627) 2025-08-14T21:37:00.2100602Z remote: Counting objects: 15% (245/1627) 2025-08-14T21:37:00.2100778Z remote: Counting objects: 16% (261/1627) 2025-08-14T21:37:00.2100928Z remote: Counting objects: 17% (277/1627) 2025-08-14T21:37:00.2101063Z remote: Counting objects: 18% (293/1627) 2025-08-14T21:37:00.2101200Z remote: Counting objects: 19% (310/1627) 2025-08-14T21:37:00.2101336Z remote: Counting objects: 20% (326/1627) 2025-08-14T21:37:00.2101469Z remote: Counting objects: 21% (342/1627) 2025-08-14T21:37:00.2101605Z remote: Counting objects: 22% (358/1627) 2025-08-14T21:37:00.2101744Z remote: Counting objects: 23% (375/1627) 2025-08-14T21:37:00.2101876Z remote: Counting objects: 24% (391/1627) 2025-08-14T21:37:00.2104314Z remote: Counting objects: 25% (407/1627) 2025-08-14T21:37:00.2104453Z remote: Counting objects: 26% (424/1627) 2025-08-14T21:37:00.2104581Z remote: Counting objects: 27% (440/1627) 2025-08-14T21:37:00.2104709Z remote: Counting objects: 28% (456/1627) 2025-08-14T21:37:00.2105069Z remote: Counting objects: 29% (472/1627) 2025-08-14T21:37:00.2105199Z remote: Counting objects: 30% (489/1627) 2025-08-14T21:37:00.2105327Z remote: Counting objects: 31% (505/1627) 2025-08-14T21:37:00.2105453Z remote: Counting objects: 32% (521/1627) 2025-08-14T21:37:00.2105591Z remote: Counting objects: 33% (537/1627) 2025-08-14T21:37:00.2105719Z remote: Counting objects: 34% (554/1627) 2025-08-14T21:37:00.2105846Z remote: Counting objects: 35% (570/1627) 2025-08-14T21:37:00.2107057Z remote: Counting objects: 36% (586/1627) 2025-08-14T21:37:00.2107192Z remote: Counting objects: 37% (602/1627) 2025-08-14T21:37:00.2107320Z remote: Counting objects: 38% (619/1627) 2025-08-14T21:37:00.2107447Z remote: Counting objects: 39% (635/1627) 2025-08-14T21:37:00.2107574Z remote: Counting objects: 40% (651/1627) 2025-08-14T21:37:00.2107701Z remote: Counting objects: 41% (668/1627) 2025-08-14T21:37:00.2107835Z remote: Counting objects: 42% (684/1627) 2025-08-14T21:37:00.2107965Z remote: Counting objects: 43% (700/1627) 2025-08-14T21:37:00.2108093Z remote: Counting objects: 44% (716/1627) 2025-08-14T21:37:00.2108220Z remote: Counting objects: 45% (733/1627) 2025-08-14T21:37:00.2108347Z remote: Counting objects: 46% (749/1627) 2025-08-14T21:37:00.2109414Z remote: Counting objects: 47% (765/1627) 2025-08-14T21:37:00.2109545Z remote: Counting objects: 48% (781/1627) 2025-08-14T21:37:00.2109673Z remote: Counting objects: 49% (798/1627) 2025-08-14T21:37:00.2109801Z remote: Counting objects: 50% (814/1627) 2025-08-14T21:37:00.2109929Z remote: Counting objects: 51% (830/1627) 2025-08-14T21:37:00.2110056Z remote: Counting objects: 52% (847/1627) 2025-08-14T21:37:00.2110185Z remote: Counting objects: 53% (863/1627) 2025-08-14T21:37:00.2110313Z remote: Counting objects: 54% (879/1627) 2025-08-14T21:37:00.2110447Z remote: Counting objects: 55% (895/1627) 2025-08-14T21:37:00.2110658Z remote: Counting objects: 56% (912/1627) 2025-08-14T21:37:00.2110788Z remote: Counting objects: 57% (928/1627) 2025-08-14T21:37:00.2111823Z remote: Counting objects: 58% (944/1627) 2025-08-14T21:37:00.2111954Z remote: Counting objects: 59% (960/1627) 2025-08-14T21:37:00.2112082Z remote: Counting objects: 60% (977/1627) 2025-08-14T21:37:00.2112209Z remote: Counting objects: 61% (993/1627) 2025-08-14T21:37:00.2112339Z remote: Counting objects: 62% (1009/1627) 2025-08-14T21:37:00.2112471Z remote: Counting objects: 63% (1026/1627) 2025-08-14T21:37:00.2112602Z remote: Counting objects: 64% (1042/1627) 2025-08-14T21:37:00.2112831Z remote: Counting objects: 65% (1058/1627) 2025-08-14T21:37:00.2112960Z remote: Counting objects: 66% (1074/1627) 2025-08-14T21:37:00.2113088Z remote: Counting objects: 67% (1091/1627) 2025-08-14T21:37:00.2113223Z remote: Counting objects: 68% (1107/1627) 2025-08-14T21:37:00.2114255Z remote: Counting objects: 69% (1123/1627) 2025-08-14T21:37:00.2114385Z remote: Counting objects: 70% (1139/1627) 2025-08-14T21:37:00.2114514Z remote: Counting objects: 71% (1156/1627) 2025-08-14T21:37:00.2114643Z remote: Counting objects: 72% (1172/1627) 2025-08-14T21:37:00.2114772Z remote: Counting objects: 73% (1188/1627) 2025-08-14T21:37:00.2114900Z remote: Counting objects: 74% (1204/1627) 2025-08-14T21:37:00.2115029Z remote: Counting objects: 75% (1221/1627) 2025-08-14T21:37:00.2115156Z remote: Counting objects: 76% (1237/1627) 2025-08-14T21:37:00.2115285Z remote: Counting objects: 77% (1253/1627) 2025-08-14T21:37:00.2115413Z remote: Counting objects: 78% (1270/1627) 2025-08-14T21:37:00.2115541Z remote: Counting objects: 79% (1286/1627) 2025-08-14T21:37:00.2116608Z remote: Counting objects: 80% (1302/1627) 2025-08-14T21:37:00.2116737Z remote: Counting objects: 81% (1318/1627) 2025-08-14T21:37:00.2116870Z remote: Counting objects: 82% (1335/1627) 2025-08-14T21:37:00.2116999Z remote: Counting objects: 83% (1351/1627) 2025-08-14T21:37:00.2117127Z remote: Counting objects: 84% (1367/1627) 2025-08-14T21:37:00.2117256Z remote: Counting objects: 85% (1383/1627) 2025-08-14T21:37:00.2117384Z remote: Counting objects: 86% (1400/1627) 2025-08-14T21:37:00.2117512Z remote: Counting objects: 87% (1416/1627) 2025-08-14T21:37:00.2117639Z remote: Counting objects: 88% (1432/1627) 2025-08-14T21:37:00.2117768Z remote: Counting objects: 89% (1449/1627) 2025-08-14T21:37:00.2117896Z remote: Counting objects: 90% (1465/1627) 2025-08-14T21:37:00.2118910Z remote: Counting objects: 91% (1481/1627) 2025-08-14T21:37:00.2119040Z remote: Counting objects: 92% (1497/1627) 2025-08-14T21:37:00.2119176Z remote: Counting objects: 93% (1514/1627) 2025-08-14T21:37:00.2119306Z remote: Counting objects: 94% (1530/1627) 2025-08-14T21:37:00.2119434Z remote: Counting objects: 95% (1546/1627) 2025-08-14T21:37:00.2119562Z remote: Counting objects: 96% (1562/1627) 2025-08-14T21:37:00.2119690Z remote: Counting objects: 97% (1579/1627) 2025-08-14T21:37:00.2119818Z remote: Counting objects: 98% (1595/1627) 2025-08-14T21:37:00.2119945Z remote: Counting objects: 99% (1611/1627) 2025-08-14T21:37:00.2120073Z remote: Counting objects: 100% (1627/1627) 2025-08-14T21:37:00.2120217Z remote: Counting objects: 100% (1627/1627), done. 2025-08-14T21:37:00.2121242Z remote: Compressing objects: 0% (1/541) 2025-08-14T21:37:00.2121377Z remote: Compressing objects: 1% (6/541) 2025-08-14T21:37:00.2211275Z remote: Compressing objects: 2% (11/541) 2025-08-14T21:37:00.2211416Z remote: Compressing objects: 3% (17/541) 2025-08-14T21:37:00.2234818Z remote: Compressing objects: 4% (22/541) 2025-08-14T21:37:00.2273953Z remote: Compressing objects: 5% (28/541) 2025-08-14T21:37:00.2333533Z remote: Compressing objects: 6% (33/541) 2025-08-14T21:37:00.2396839Z remote: Compressing objects: 7% (38/541) 2025-08-14T21:37:00.2468488Z remote: Compressing objects: 8% (44/541) 2025-08-14T21:37:00.2536258Z remote: Compressing objects: 9% (49/541) 2025-08-14T21:37:00.2617844Z remote: Compressing objects: 10% (55/541) 2025-08-14T21:37:00.2678539Z remote: Compressing objects: 11% (60/541) 2025-08-14T21:37:00.2689766Z remote: Compressing objects: 12% (65/541) 2025-08-14T21:37:00.2706565Z remote: Compressing objects: 13% (71/541) 2025-08-14T21:37:00.2719874Z remote: Compressing objects: 14% (76/541) 2025-08-14T21:37:00.2733949Z remote: Compressing objects: 15% (82/541) 2025-08-14T21:37:00.2756190Z remote: Compressing objects: 16% (87/541) 2025-08-14T21:37:00.2788526Z remote: Compressing objects: 17% (92/541) 2025-08-14T21:37:00.2845796Z remote: Compressing objects: 18% (98/541) 2025-08-14T21:37:00.2935864Z remote: Compressing objects: 19% (103/541) 2025-08-14T21:37:00.3058871Z remote: Compressing objects: 20% (109/541) 2025-08-14T21:37:00.3489448Z remote: Compressing objects: 21% (114/541) 2025-08-14T21:37:00.3770094Z remote: Compressing objects: 22% (120/541) 2025-08-14T21:37:00.4186642Z remote: Compressing objects: 23% (125/541) 2025-08-14T21:37:00.4299123Z remote: Compressing objects: 24% (130/541) 2025-08-14T21:37:00.4398636Z remote: Compressing objects: 25% (136/541) 2025-08-14T21:37:00.4503602Z remote: Compressing objects: 26% (141/541) 2025-08-14T21:37:00.4589761Z remote: Compressing objects: 27% (147/541) 2025-08-14T21:37:00.4721377Z remote: Compressing objects: 28% (152/541) 2025-08-14T21:37:00.4831433Z remote: Compressing objects: 29% (157/541) 2025-08-14T21:37:00.4986934Z remote: Compressing objects: 30% (163/541) 2025-08-14T21:37:00.5073853Z remote: Compressing objects: 31% (168/541) 2025-08-14T21:37:00.5194607Z remote: Compressing objects: 32% (174/541) 2025-08-14T21:37:00.5278330Z remote: Compressing objects: 33% (179/541) 2025-08-14T21:37:00.5366863Z remote: Compressing objects: 34% (184/541) 2025-08-14T21:37:00.5459568Z remote: Compressing objects: 35% (190/541) 2025-08-14T21:37:00.5485879Z remote: Compressing objects: 36% (195/541) 2025-08-14T21:37:00.5561077Z remote: Compressing objects: 37% (201/541) 2025-08-14T21:37:00.5625835Z remote: Compressing objects: 38% (206/541) 2025-08-14T21:37:00.5692867Z remote: Compressing objects: 39% (211/541) 2025-08-14T21:37:00.5740083Z remote: Compressing objects: 40% (217/541) 2025-08-14T21:37:00.5775949Z remote: Compressing objects: 41% (222/541) 2025-08-14T21:37:00.5824750Z remote: Compressing objects: 42% (228/541) 2025-08-14T21:37:00.5849630Z remote: Compressing objects: 43% (233/541) 2025-08-14T21:37:00.5896069Z remote: Compressing objects: 44% (239/541) 2025-08-14T21:37:00.5933512Z remote: Compressing objects: 45% (244/541) 2025-08-14T21:37:00.5980449Z remote: Compressing objects: 46% (249/541) 2025-08-14T21:37:00.6009246Z remote: Compressing objects: 47% (255/541) 2025-08-14T21:37:00.6052125Z remote: Compressing objects: 48% (260/541) 2025-08-14T21:37:00.6077970Z remote: Compressing objects: 49% (266/541) 2025-08-14T21:37:00.6101321Z remote: Compressing objects: 50% (271/541) 2025-08-14T21:37:00.6134102Z remote: Compressing objects: 51% (276/541) 2025-08-14T21:37:00.6141157Z remote: Compressing objects: 52% (282/541) 2025-08-14T21:37:00.6156800Z remote: Compressing objects: 53% (287/541) 2025-08-14T21:37:00.6169971Z remote: Compressing objects: 54% (293/541) 2025-08-14T21:37:00.6185958Z remote: Compressing objects: 55% (298/541) 2025-08-14T21:37:00.6195289Z remote: Compressing objects: 56% (303/541) 2025-08-14T21:37:00.6204452Z remote: Compressing objects: 57% (309/541) 2025-08-14T21:37:00.6210584Z remote: Compressing objects: 58% (314/541) 2025-08-14T21:37:00.6216860Z remote: Compressing objects: 59% (320/541) 2025-08-14T21:37:00.6222516Z remote: Compressing objects: 60% (325/541) 2025-08-14T21:37:00.6227492Z remote: Compressing objects: 61% (331/541) 2025-08-14T21:37:00.6230828Z remote: Compressing objects: 62% (336/541) 2025-08-14T21:37:00.6231936Z remote: Compressing objects: 63% (341/541) 2025-08-14T21:37:00.6232173Z remote: Compressing objects: 64% (347/541) 2025-08-14T21:37:00.6235954Z remote: Compressing objects: 65% (352/541) 2025-08-14T21:37:00.6240178Z remote: Compressing objects: 66% (358/541) 2025-08-14T21:37:00.6245372Z remote: Compressing objects: 67% (363/541) 2025-08-14T21:37:00.6248606Z remote: Compressing objects: 68% (368/541) 2025-08-14T21:37:00.6253393Z remote: Compressing objects: 69% (374/541) 2025-08-14T21:37:00.6253558Z remote: Compressing objects: 70% (379/541) 2025-08-14T21:37:00.6255759Z remote: Compressing objects: 71% (385/541) 2025-08-14T21:37:00.6257250Z remote: Compressing objects: 72% (390/541) 2025-08-14T21:37:00.6259032Z remote: Compressing objects: 73% (395/541) 2025-08-14T21:37:00.6259674Z remote: Compressing objects: 74% (401/541) 2025-08-14T21:37:00.6261383Z remote: Compressing objects: 75% (406/541) 2025-08-14T21:37:00.6261519Z remote: Compressing objects: 76% (412/541) 2025-08-14T21:37:00.6263357Z remote: Compressing objects: 77% (417/541) 2025-08-14T21:37:00.6263491Z remote: Compressing objects: 78% (422/541) 2025-08-14T21:37:00.6299208Z remote: Compressing objects: 79% (428/541) 2025-08-14T21:37:00.6301139Z remote: Compressing objects: 80% (433/541) 2025-08-14T21:37:00.6301280Z remote: Compressing objects: 81% (439/541) 2025-08-14T21:37:00.6301414Z remote: Compressing objects: 82% (444/541) 2025-08-14T21:37:00.6301550Z remote: Compressing objects: 83% (450/541) 2025-08-14T21:37:00.6301684Z remote: Compressing objects: 84% (455/541) 2025-08-14T21:37:00.6301818Z remote: Compressing objects: 85% (460/541) 2025-08-14T21:37:00.6301951Z remote: Compressing objects: 86% (466/541) 2025-08-14T21:37:00.6302085Z remote: Compressing objects: 87% (471/541) 2025-08-14T21:37:00.6302219Z remote: Compressing objects: 88% (477/541) 2025-08-14T21:37:00.6302352Z remote: Compressing objects: 89% (482/541) 2025-08-14T21:37:00.6302485Z remote: Compressing objects: 90% (487/541) 2025-08-14T21:37:00.6302630Z remote: Compressing objects: 91% (493/541) 2025-08-14T21:37:00.6302873Z remote: Compressing objects: 92% (498/541) 2025-08-14T21:37:00.6304169Z remote: Compressing objects: 93% (504/541) 2025-08-14T21:37:00.6304314Z remote: Compressing objects: 94% (509/541) 2025-08-14T21:37:00.6304449Z remote: Compressing objects: 95% (514/541) 2025-08-14T21:37:00.6339031Z remote: Compressing objects: 96% (520/541) 2025-08-14T21:37:00.6339168Z remote: Compressing objects: 97% (525/541) 2025-08-14T21:37:00.6339301Z remote: Compressing objects: 98% (531/541) 2025-08-14T21:37:00.6339437Z remote: Compressing objects: 99% (536/541) 2025-08-14T21:37:00.6339570Z remote: Compressing objects: 100% (541/541) 2025-08-14T21:37:00.6339718Z remote: Compressing objects: 100% (541/541), done. 2025-08-14T21:37:00.7162566Z Receiving objects: 0% (1/7290) 2025-08-14T21:37:00.7228596Z Receiving objects: 1% (73/7290) 2025-08-14T21:37:00.7248968Z Receiving objects: 2% (146/7290) 2025-08-14T21:37:00.7283815Z Receiving objects: 3% (219/7290) 2025-08-14T21:37:00.7339512Z Receiving objects: 4% (292/7290) 2025-08-14T21:37:00.7346887Z Receiving objects: 5% (365/7290) 2025-08-14T21:37:00.7419089Z Receiving objects: 6% (438/7290) 2025-08-14T21:37:00.7419505Z Receiving objects: 7% (511/7290) 2025-08-14T21:37:00.7436040Z Receiving objects: 8% (584/7290) 2025-08-14T21:37:00.7439790Z Receiving objects: 9% (657/7290) 2025-08-14T21:37:00.7452335Z Receiving objects: 10% (729/7290) 2025-08-14T21:37:00.7475222Z Receiving objects: 11% (802/7290) 2025-08-14T21:37:00.7476158Z Receiving objects: 12% (875/7290) 2025-08-14T21:37:00.7480249Z Receiving objects: 13% (948/7290) 2025-08-14T21:37:00.7483154Z Receiving objects: 14% (1021/7290) 2025-08-14T21:37:00.7486395Z Receiving objects: 15% (1094/7290) 2025-08-14T21:37:00.7489379Z Receiving objects: 16% (1167/7290) 2025-08-14T21:37:00.7492397Z Receiving objects: 17% (1240/7290) 2025-08-14T21:37:00.7495297Z Receiving objects: 18% (1313/7290) 2025-08-14T21:37:00.7500133Z Receiving objects: 19% (1386/7290) 2025-08-14T21:37:00.7510776Z Receiving objects: 20% (1458/7290) 2025-08-14T21:37:00.7528121Z Receiving objects: 21% (1531/7290) 2025-08-14T21:37:00.7555599Z Receiving objects: 22% (1604/7290) 2025-08-14T21:37:00.7565310Z Receiving objects: 23% (1677/7290) 2025-08-14T21:37:00.7582829Z Receiving objects: 24% (1750/7290) 2025-08-14T21:37:00.7585142Z Receiving objects: 25% (1823/7290) 2025-08-14T21:37:00.7607931Z Receiving objects: 26% (1896/7290) 2025-08-14T21:37:00.7627233Z Receiving objects: 27% (1969/7290) 2025-08-14T21:37:00.7635862Z Receiving objects: 28% (2042/7290) 2025-08-14T21:37:00.7660827Z Receiving objects: 29% (2115/7290) 2025-08-14T21:37:00.7676532Z Receiving objects: 30% (2187/7290) 2025-08-14T21:37:00.7685263Z Receiving objects: 31% (2260/7290) 2025-08-14T21:37:00.7694683Z Receiving objects: 32% (2333/7290) 2025-08-14T21:37:00.7717812Z Receiving objects: 33% (2406/7290) 2025-08-14T21:37:00.7771011Z Receiving objects: 34% (2479/7290) 2025-08-14T21:37:00.7784973Z Receiving objects: 35% (2552/7290) 2025-08-14T21:37:00.7786560Z Receiving objects: 36% (2625/7290) 2025-08-14T21:37:00.7793461Z Receiving objects: 37% (2698/7290) 2025-08-14T21:37:00.7807912Z Receiving objects: 38% (2771/7290) 2025-08-14T21:37:00.7809144Z Receiving objects: 39% (2844/7290) 2025-08-14T21:37:00.7820897Z Receiving objects: 40% (2916/7290) 2025-08-14T21:37:00.7824850Z Receiving objects: 41% (2989/7290) 2025-08-14T21:37:00.7832593Z Receiving objects: 42% (3062/7290) 2025-08-14T21:37:00.7838464Z Receiving objects: 43% (3135/7290) 2025-08-14T21:37:00.7845041Z Receiving objects: 44% (3208/7290) 2025-08-14T21:37:00.7846408Z Receiving objects: 45% (3281/7290) 2025-08-14T21:37:00.7890793Z Receiving objects: 46% (3354/7290) 2025-08-14T21:37:00.7899553Z Receiving objects: 47% (3427/7290) 2025-08-14T21:37:00.7916471Z Receiving objects: 48% (3500/7290) 2025-08-14T21:37:00.7920506Z Receiving objects: 49% (3573/7290) 2025-08-14T21:37:00.7935835Z Receiving objects: 50% (3645/7290) 2025-08-14T21:37:00.7946278Z Receiving objects: 51% (3718/7290) 2025-08-14T21:37:00.7953196Z Receiving objects: 52% (3791/7290) 2025-08-14T21:37:00.7963760Z Receiving objects: 53% (3864/7290) 2025-08-14T21:37:00.7978004Z Receiving objects: 54% (3937/7290) 2025-08-14T21:37:00.7987336Z Receiving objects: 55% (4010/7290) 2025-08-14T21:37:00.8002457Z Receiving objects: 56% (4083/7290) 2025-08-14T21:37:00.8020088Z Receiving objects: 57% (4156/7290) 2025-08-14T21:37:00.8028813Z Receiving objects: 58% (4229/7290) 2025-08-14T21:37:00.8044923Z Receiving objects: 59% (4302/7290) 2025-08-14T21:37:00.8059753Z Receiving objects: 60% (4374/7290) 2025-08-14T21:37:00.8066957Z Receiving objects: 61% (4447/7290) 2025-08-14T21:37:00.8079692Z Receiving objects: 62% (4520/7290) 2025-08-14T21:37:00.8106068Z Receiving objects: 63% (4593/7290) 2025-08-14T21:37:00.8116011Z Receiving objects: 64% (4666/7290) 2025-08-14T21:37:00.8125894Z Receiving objects: 65% (4739/7290) 2025-08-14T21:37:00.8154081Z Receiving objects: 66% (4812/7290) 2025-08-14T21:37:00.8156652Z Receiving objects: 67% (4885/7290) 2025-08-14T21:37:00.8163346Z Receiving objects: 68% (4958/7290) 2025-08-14T21:37:00.8172831Z Receiving objects: 69% (5031/7290) 2025-08-14T21:37:00.8190023Z Receiving objects: 70% (5103/7290) 2025-08-14T21:37:00.8196644Z Receiving objects: 71% (5176/7290) 2025-08-14T21:37:00.8200429Z Receiving objects: 72% (5249/7290) 2025-08-14T21:37:00.8201777Z Receiving objects: 73% (5322/7290) 2025-08-14T21:37:00.8205507Z Receiving objects: 74% (5395/7290) 2025-08-14T21:37:00.8208525Z Receiving objects: 75% (5468/7290) 2025-08-14T21:37:00.8208646Z Receiving objects: 76% (5541/7290) 2025-08-14T21:37:00.8212454Z Receiving objects: 77% (5614/7290) 2025-08-14T21:37:00.8216189Z Receiving objects: 78% (5687/7290) 2025-08-14T21:37:00.8217586Z Receiving objects: 79% (5760/7290) 2025-08-14T21:37:00.8218037Z Receiving objects: 80% (5832/7290) 2025-08-14T21:37:00.8218947Z Receiving objects: 81% (5905/7290) 2025-08-14T21:37:00.8219076Z Receiving objects: 82% (5978/7290) 2025-08-14T21:37:00.8219628Z Receiving objects: 83% (6051/7290) 2025-08-14T21:37:00.8220399Z Receiving objects: 84% (6124/7290) 2025-08-14T21:37:00.8249631Z Receiving objects: 85% (6197/7290) 2025-08-14T21:37:00.8277059Z Receiving objects: 86% (6270/7290) 2025-08-14T21:37:00.8310380Z Receiving objects: 87% (6343/7290) 2025-08-14T21:37:00.8352567Z Receiving objects: 88% (6416/7290) 2025-08-14T21:37:00.8373498Z Receiving objects: 89% (6489/7290) 2025-08-14T21:37:00.8385836Z Receiving objects: 90% (6561/7290) 2025-08-14T21:37:00.8389379Z Receiving objects: 91% (6634/7290) 2025-08-14T21:37:00.8394635Z Receiving objects: 92% (6707/7290) 2025-08-14T21:37:00.8419772Z Receiving objects: 93% (6780/7290) 2025-08-14T21:37:00.8432048Z Receiving objects: 94% (6853/7290) 2025-08-14T21:37:00.8442358Z Receiving objects: 95% (6926/7290) 2025-08-14T21:37:00.8450716Z Receiving objects: 96% (6999/7290) 2025-08-14T21:37:00.8462114Z Receiving objects: 97% (7072/7290) 2025-08-14T21:37:00.8499816Z Receiving objects: 98% (7145/7290) 2025-08-14T21:37:00.8523067Z Receiving objects: 99% (7218/7290) 2025-08-14T21:37:00.8523248Z remote: Total 7290 (delta 1284), reused 1104 (delta 1086), pack-reused 5663 (from 1) 2025-08-14T21:37:00.8536216Z Receiving objects: 100% (7290/7290) 2025-08-14T21:37:00.8536365Z Receiving objects: 100% (7290/7290), 9.60 MiB | 44.49 MiB/s, done. 2025-08-14T21:37:00.8547350Z Resolving deltas: 0% (0/5282) 2025-08-14T21:37:00.8551140Z Resolving deltas: 1% (53/5282) 2025-08-14T21:37:00.8554714Z Resolving deltas: 2% (106/5282) 2025-08-14T21:37:00.8557480Z Resolving deltas: 3% (160/5282) 2025-08-14T21:37:00.8562657Z Resolving deltas: 4% (212/5282) 2025-08-14T21:37:00.8562936Z Resolving deltas: 5% (265/5282) 2025-08-14T21:37:00.8563992Z Resolving deltas: 6% (318/5282) 2025-08-14T21:37:00.8573255Z Resolving deltas: 7% (371/5282) 2025-08-14T21:37:00.8584611Z Resolving deltas: 8% (423/5282) 2025-08-14T21:37:00.8587212Z Resolving deltas: 9% (476/5282) 2025-08-14T21:37:00.8590293Z Resolving deltas: 10% (529/5282) 2025-08-14T21:37:00.8591821Z Resolving deltas: 11% (582/5282) 2025-08-14T21:37:00.8593553Z Resolving deltas: 12% (634/5282) 2025-08-14T21:37:00.8596577Z Resolving deltas: 13% (687/5282) 2025-08-14T21:37:00.8603939Z Resolving deltas: 14% (740/5282) 2025-08-14T21:37:00.8607263Z Resolving deltas: 15% (793/5282) 2025-08-14T21:37:00.8615366Z Resolving deltas: 16% (846/5282) 2025-08-14T21:37:00.8622228Z Resolving deltas: 17% (898/5282) 2025-08-14T21:37:00.8624608Z Resolving deltas: 18% (951/5282) 2025-08-14T21:37:00.8627564Z Resolving deltas: 19% (1004/5282) 2025-08-14T21:37:00.8629477Z Resolving deltas: 20% (1059/5282) 2025-08-14T21:37:00.8633102Z Resolving deltas: 21% (1110/5282) 2025-08-14T21:37:00.8636786Z Resolving deltas: 22% (1163/5282) 2025-08-14T21:37:00.8640272Z Resolving deltas: 23% (1215/5282) 2025-08-14T21:37:00.8645735Z Resolving deltas: 24% (1268/5282) 2025-08-14T21:37:00.8649772Z Resolving deltas: 25% (1321/5282) 2025-08-14T21:37:00.8652903Z Resolving deltas: 26% (1374/5282) 2025-08-14T21:37:00.8658755Z Resolving deltas: 27% (1427/5282) 2025-08-14T21:37:00.8660402Z Resolving deltas: 28% (1479/5282) 2025-08-14T21:37:00.8662673Z Resolving deltas: 29% (1532/5282) 2025-08-14T21:37:00.8664880Z Resolving deltas: 30% (1591/5282) 2025-08-14T21:37:00.8666945Z Resolving deltas: 31% (1639/5282) 2025-08-14T21:37:00.8668695Z Resolving deltas: 32% (1692/5282) 2025-08-14T21:37:00.8671350Z Resolving deltas: 33% (1744/5282) 2025-08-14T21:37:00.8673378Z Resolving deltas: 34% (1796/5282) 2025-08-14T21:37:00.8675956Z Resolving deltas: 35% (1849/5282) 2025-08-14T21:37:00.8677704Z Resolving deltas: 36% (1902/5282) 2025-08-14T21:37:00.8679988Z Resolving deltas: 37% (1955/5282) 2025-08-14T21:37:00.8683996Z Resolving deltas: 38% (2008/5282) 2025-08-14T21:37:00.8686512Z Resolving deltas: 39% (2060/5282) 2025-08-14T21:37:00.8688705Z Resolving deltas: 40% (2114/5282) 2025-08-14T21:37:00.8690171Z Resolving deltas: 41% (2166/5282) 2025-08-14T21:37:00.8693255Z Resolving deltas: 42% (2219/5282) 2025-08-14T21:37:00.8699768Z Resolving deltas: 43% (2272/5282) 2025-08-14T21:37:00.8702855Z Resolving deltas: 44% (2325/5282) 2025-08-14T21:37:00.8705941Z Resolving deltas: 45% (2377/5282) 2025-08-14T21:37:00.8709084Z Resolving deltas: 46% (2430/5282) 2025-08-14T21:37:00.8711450Z Resolving deltas: 47% (2483/5282) 2025-08-14T21:37:00.8715585Z Resolving deltas: 48% (2536/5282) 2025-08-14T21:37:00.8715920Z Resolving deltas: 49% (2589/5282) 2025-08-14T21:37:00.8721795Z Resolving deltas: 50% (2641/5282) 2025-08-14T21:37:00.8730818Z Resolving deltas: 51% (2694/5282) 2025-08-14T21:37:00.8734628Z Resolving deltas: 52% (2747/5282) 2025-08-14T21:37:00.8736457Z Resolving deltas: 53% (2800/5282) 2025-08-14T21:37:00.8740180Z Resolving deltas: 54% (2853/5282) 2025-08-14T21:37:00.8742415Z Resolving deltas: 55% (2907/5282) 2025-08-14T21:37:00.8744961Z Resolving deltas: 56% (2958/5282) 2025-08-14T21:37:00.8746540Z Resolving deltas: 57% (3011/5282) 2025-08-14T21:37:00.8748238Z Resolving deltas: 58% (3069/5282) 2025-08-14T21:37:00.8750755Z Resolving deltas: 59% (3117/5282) 2025-08-14T21:37:00.8752711Z Resolving deltas: 60% (3170/5282) 2025-08-14T21:37:00.8753906Z Resolving deltas: 61% (3224/5282) 2025-08-14T21:37:00.8755614Z Resolving deltas: 62% (3275/5282) 2025-08-14T21:37:00.8757502Z Resolving deltas: 63% (3328/5282) 2025-08-14T21:37:00.8760257Z Resolving deltas: 64% (3381/5282) 2025-08-14T21:37:00.8764429Z Resolving deltas: 65% (3434/5282) 2025-08-14T21:37:00.8766151Z Resolving deltas: 66% (3487/5282) 2025-08-14T21:37:00.8768313Z Resolving deltas: 67% (3540/5282) 2025-08-14T21:37:00.8770387Z Resolving deltas: 68% (3592/5282) 2025-08-14T21:37:00.8773698Z Resolving deltas: 69% (3645/5282) 2025-08-14T21:37:00.8776701Z Resolving deltas: 70% (3698/5282) 2025-08-14T21:37:00.8779570Z Resolving deltas: 71% (3751/5282) 2025-08-14T21:37:00.8781558Z Resolving deltas: 72% (3805/5282) 2025-08-14T21:37:00.8783367Z Resolving deltas: 73% (3856/5282) 2025-08-14T21:37:00.8787135Z Resolving deltas: 74% (3909/5282) 2025-08-14T21:37:00.8791259Z Resolving deltas: 75% (3962/5282) 2025-08-14T21:37:00.8793852Z Resolving deltas: 76% (4015/5282) 2025-08-14T21:37:00.8797530Z Resolving deltas: 77% (4068/5282) 2025-08-14T21:37:00.8800309Z Resolving deltas: 78% (4120/5282) 2025-08-14T21:37:00.8803631Z Resolving deltas: 79% (4173/5282) 2025-08-14T21:37:00.8809686Z Resolving deltas: 80% (4226/5282) 2025-08-14T21:37:00.8811771Z Resolving deltas: 81% (4279/5282) 2025-08-14T21:37:00.8815556Z Resolving deltas: 82% (4332/5282) 2025-08-14T21:37:00.8818538Z Resolving deltas: 83% (4385/5282) 2025-08-14T21:37:00.8820045Z Resolving deltas: 84% (4439/5282) 2025-08-14T21:37:00.8822421Z Resolving deltas: 85% (4490/5282) 2025-08-14T21:37:00.8824748Z Resolving deltas: 86% (4544/5282) 2025-08-14T21:37:00.8826334Z Resolving deltas: 87% (4599/5282) 2025-08-14T21:37:00.8828472Z Resolving deltas: 88% (4649/5282) 2025-08-14T21:37:00.8830140Z Resolving deltas: 89% (4701/5282) 2025-08-14T21:37:00.8833091Z Resolving deltas: 90% (4756/5282) 2025-08-14T21:37:00.8835551Z Resolving deltas: 91% (4807/5282) 2025-08-14T21:37:00.8839059Z Resolving deltas: 92% (4860/5282) 2025-08-14T21:37:00.8839817Z Resolving deltas: 93% (4913/5282) 2025-08-14T21:37:00.8841832Z Resolving deltas: 94% (4966/5282) 2025-08-14T21:37:00.8844340Z Resolving deltas: 95% (5018/5282) 2025-08-14T21:37:00.8846421Z Resolving deltas: 96% (5071/5282) 2025-08-14T21:37:00.8848980Z Resolving deltas: 97% (5124/5282) 2025-08-14T21:37:00.8851405Z Resolving deltas: 98% (5177/5282) 2025-08-14T21:37:00.8858292Z Resolving deltas: 99% (5230/5282) 2025-08-14T21:37:00.8859233Z Resolving deltas: 100% (5282/5282) 2025-08-14T21:37:00.8859348Z Resolving deltas: 100% (5282/5282), done. 2025-08-14T21:37:00.9049208Z Cloning into '/var/lib/jenkins/pytorch/fbgemm/external/composable_kernel'... 2025-08-14T21:37:01.1914979Z remote: Enumerating objects: 40913, done. 2025-08-14T21:37:01.2887625Z Receiving objects: 0% (1/40913) 2025-08-14T21:37:01.3050338Z Receiving objects: 1% (410/40913) 2025-08-14T21:37:01.3248007Z Receiving objects: 2% (819/40913) 2025-08-14T21:37:01.3270313Z Receiving objects: 3% (1228/40913) 2025-08-14T21:37:01.3291535Z Receiving objects: 4% (1637/40913) 2025-08-14T21:37:01.3537896Z Receiving objects: 5% (2046/40913) 2025-08-14T21:37:01.3568784Z Receiving objects: 6% (2455/40913) 2025-08-14T21:37:01.3658876Z Receiving objects: 7% (2864/40913) 2025-08-14T21:37:01.3798189Z Receiving objects: 8% (3274/40913) 2025-08-14T21:37:01.3881544Z Receiving objects: 9% (3683/40913) 2025-08-14T21:37:01.3928768Z Receiving objects: 10% (4092/40913) 2025-08-14T21:37:01.3948961Z Receiving objects: 11% (4501/40913) 2025-08-14T21:37:01.3960910Z Receiving objects: 12% (4910/40913) 2025-08-14T21:37:01.3969651Z Receiving objects: 13% (5319/40913) 2025-08-14T21:37:01.3977685Z Receiving objects: 14% (5728/40913) 2025-08-14T21:37:01.4008982Z Receiving objects: 15% (6137/40913) 2025-08-14T21:37:01.4041936Z Receiving objects: 16% (6547/40913) 2025-08-14T21:37:01.4096891Z Receiving objects: 17% (6956/40913) 2025-08-14T21:37:01.4117940Z Receiving objects: 18% (7365/40913) 2025-08-14T21:37:01.4183098Z Receiving objects: 19% (7774/40913) 2025-08-14T21:37:01.4199098Z Receiving objects: 20% (8183/40913) 2025-08-14T21:37:01.4220997Z Receiving objects: 21% (8592/40913) 2025-08-14T21:37:01.4245614Z Receiving objects: 22% (9001/40913) 2025-08-14T21:37:01.4278009Z Receiving objects: 23% (9410/40913) 2025-08-14T21:37:01.4314578Z Receiving objects: 24% (9820/40913) 2025-08-14T21:37:01.4351942Z Receiving objects: 25% (10229/40913) 2025-08-14T21:37:01.4373606Z Receiving objects: 26% (10638/40913) 2025-08-14T21:37:01.4394517Z Receiving objects: 27% (11047/40913) 2025-08-14T21:37:01.4420637Z Receiving objects: 28% (11456/40913) 2025-08-14T21:37:01.4444350Z Receiving objects: 29% (11865/40913) 2025-08-14T21:37:01.4478743Z Receiving objects: 30% (12274/40913) 2025-08-14T21:37:01.4504117Z Receiving objects: 31% (12684/40913) 2025-08-14T21:37:01.4533015Z Receiving objects: 32% (13093/40913) 2025-08-14T21:37:01.4558283Z Receiving objects: 33% (13502/40913) 2025-08-14T21:37:01.4568164Z Receiving objects: 34% (13911/40913) 2025-08-14T21:37:01.4577155Z Receiving objects: 35% (14320/40913) 2025-08-14T21:37:01.4590251Z Receiving objects: 36% (14729/40913) 2025-08-14T21:37:01.4597244Z Receiving objects: 37% (15138/40913) 2025-08-14T21:37:01.4602573Z Receiving objects: 38% (15547/40913) 2025-08-14T21:37:01.4608154Z Receiving objects: 39% (15957/40913) 2025-08-14T21:37:01.4615030Z Receiving objects: 40% (16366/40913) 2025-08-14T21:37:01.4641484Z Receiving objects: 41% (16775/40913) 2025-08-14T21:37:01.4644828Z Receiving objects: 42% (17184/40913) 2025-08-14T21:37:01.4666407Z Receiving objects: 43% (17593/40913) 2025-08-14T21:37:01.4722784Z Receiving objects: 44% (18002/40913) 2025-08-14T21:37:01.4742881Z Receiving objects: 45% (18411/40913) 2025-08-14T21:37:01.4760857Z Receiving objects: 46% (18820/40913) 2025-08-14T21:37:01.4782619Z Receiving objects: 47% (19230/40913) 2025-08-14T21:37:01.4792839Z Receiving objects: 48% (19639/40913) 2025-08-14T21:37:01.4803531Z Receiving objects: 49% (20048/40913) 2025-08-14T21:37:01.4815076Z Receiving objects: 50% (20457/40913) 2025-08-14T21:37:01.4831505Z Receiving objects: 51% (20866/40913) 2025-08-14T21:37:01.4838935Z Receiving objects: 52% (21275/40913) 2025-08-14T21:37:01.4844955Z Receiving objects: 53% (21684/40913) 2025-08-14T21:37:01.4861449Z Receiving objects: 54% (22094/40913) 2025-08-14T21:37:01.4868842Z Receiving objects: 55% (22503/40913) 2025-08-14T21:37:01.4874673Z Receiving objects: 56% (22912/40913) 2025-08-14T21:37:01.4909422Z Receiving objects: 57% (23321/40913) 2025-08-14T21:37:01.4926176Z Receiving objects: 58% (23730/40913) 2025-08-14T21:37:01.4930901Z Receiving objects: 59% (24139/40913) 2025-08-14T21:37:01.4961285Z Receiving objects: 60% (24548/40913) 2025-08-14T21:37:01.4968958Z Receiving objects: 61% (24957/40913) 2025-08-14T21:37:01.4988201Z Receiving objects: 62% (25367/40913) 2025-08-14T21:37:01.4995306Z Receiving objects: 63% (25776/40913) 2025-08-14T21:37:01.5011587Z Receiving objects: 64% (26185/40913) 2025-08-14T21:37:01.5029995Z Receiving objects: 65% (26594/40913) 2025-08-14T21:37:01.5051682Z Receiving objects: 66% (27003/40913) 2025-08-14T21:37:01.5071578Z Receiving objects: 67% (27412/40913) 2025-08-14T21:37:01.5102875Z Receiving objects: 68% (27821/40913) 2025-08-14T21:37:01.5135906Z Receiving objects: 69% (28230/40913) 2025-08-14T21:37:01.5154229Z Receiving objects: 70% (28640/40913) 2025-08-14T21:37:01.5176079Z Receiving objects: 71% (29049/40913) 2025-08-14T21:37:01.5182965Z Receiving objects: 72% (29458/40913) 2025-08-14T21:37:01.5192965Z Receiving objects: 73% (29867/40913) 2025-08-14T21:37:01.5199271Z Receiving objects: 74% (30276/40913) 2025-08-14T21:37:01.5206677Z Receiving objects: 75% (30685/40913) 2025-08-14T21:37:01.5218424Z Receiving objects: 76% (31094/40913) 2025-08-14T21:37:01.5237457Z Receiving objects: 77% (31504/40913) 2025-08-14T21:37:01.5261953Z Receiving objects: 78% (31913/40913) 2025-08-14T21:37:01.5273505Z Receiving objects: 79% (32322/40913) 2025-08-14T21:37:01.5284957Z Receiving objects: 80% (32731/40913) 2025-08-14T21:37:01.5304702Z Receiving objects: 81% (33140/40913) 2025-08-14T21:37:01.5309395Z Receiving objects: 82% (33549/40913) 2025-08-14T21:37:01.5320042Z Receiving objects: 83% (33958/40913) 2025-08-14T21:37:01.5326835Z Receiving objects: 84% (34367/40913) 2025-08-14T21:37:01.5335378Z Receiving objects: 85% (34777/40913) 2025-08-14T21:37:01.5349744Z Receiving objects: 86% (35186/40913) 2025-08-14T21:37:01.5369274Z Receiving objects: 87% (35595/40913) 2025-08-14T21:37:01.5393531Z Receiving objects: 88% (36004/40913) 2025-08-14T21:37:01.5419621Z Receiving objects: 89% (36413/40913) 2025-08-14T21:37:01.5438910Z Receiving objects: 90% (36822/40913) 2025-08-14T21:37:01.5445909Z Receiving objects: 91% (37231/40913) 2025-08-14T21:37:01.5453780Z Receiving objects: 92% (37640/40913) 2025-08-14T21:37:01.5465873Z Receiving objects: 93% (38050/40913) 2025-08-14T21:37:01.5480896Z Receiving objects: 94% (38459/40913) 2025-08-14T21:37:01.5497404Z Receiving objects: 95% (38868/40913) 2025-08-14T21:37:01.5506278Z Receiving objects: 96% (39277/40913) 2025-08-14T21:37:01.5518043Z Receiving objects: 97% (39686/40913) 2025-08-14T21:37:01.5527521Z Receiving objects: 98% (40095/40913) 2025-08-14T21:37:01.5534320Z Receiving objects: 99% (40504/40913) 2025-08-14T21:37:01.5534771Z remote: Total 40913 (delta 0), reused 0 (delta 0), pack-reused 40913 (from 1) 2025-08-14T21:37:01.5541590Z Receiving objects: 100% (40913/40913) 2025-08-14T21:37:01.5543132Z Receiving objects: 100% (40913/40913), 19.01 MiB | 52.46 MiB/s, done. 2025-08-14T21:37:01.5578805Z Resolving deltas: 0% (0/30182) 2025-08-14T21:37:01.5589136Z Resolving deltas: 1% (302/30182) 2025-08-14T21:37:01.5599758Z Resolving deltas: 2% (604/30182) 2025-08-14T21:37:01.5610410Z Resolving deltas: 3% (906/30182) 2025-08-14T21:37:01.5623996Z Resolving deltas: 4% (1208/30182) 2025-08-14T21:37:01.5628450Z Resolving deltas: 5% (1510/30182) 2025-08-14T21:37:01.5637272Z Resolving deltas: 6% (1811/30182) 2025-08-14T21:37:01.5647085Z Resolving deltas: 7% (2114/30182) 2025-08-14T21:37:01.5656630Z Resolving deltas: 8% (2415/30182) 2025-08-14T21:37:01.5665495Z Resolving deltas: 9% (2717/30182) 2025-08-14T21:37:01.5674778Z Resolving deltas: 10% (3024/30182) 2025-08-14T21:37:01.5683079Z Resolving deltas: 11% (3322/30182) 2025-08-14T21:37:01.5693661Z Resolving deltas: 12% (3622/30182) 2025-08-14T21:37:01.5703512Z Resolving deltas: 13% (3924/30182) 2025-08-14T21:37:01.5713569Z Resolving deltas: 14% (4228/30182) 2025-08-14T21:37:01.5724389Z Resolving deltas: 15% (4529/30182) 2025-08-14T21:37:01.5734191Z Resolving deltas: 16% (4830/30182) 2025-08-14T21:37:01.5748655Z Resolving deltas: 17% (5131/30182) 2025-08-14T21:37:01.5766769Z Resolving deltas: 18% (5433/30182) 2025-08-14T21:37:01.5776999Z Resolving deltas: 19% (5735/30182) 2025-08-14T21:37:01.5787938Z Resolving deltas: 20% (6037/30182) 2025-08-14T21:37:01.5801005Z Resolving deltas: 21% (6339/30182) 2025-08-14T21:37:01.5810801Z Resolving deltas: 22% (6641/30182) 2025-08-14T21:37:01.5822533Z Resolving deltas: 23% (6945/30182) 2025-08-14T21:37:01.5850326Z Resolving deltas: 24% (7244/30182) 2025-08-14T21:37:01.5864735Z Resolving deltas: 25% (7546/30182) 2025-08-14T21:37:01.5874814Z Resolving deltas: 26% (7848/30182) 2025-08-14T21:37:01.5888910Z Resolving deltas: 27% (8150/30182) 2025-08-14T21:37:01.5899058Z Resolving deltas: 28% (8454/30182) 2025-08-14T21:37:01.5910687Z Resolving deltas: 29% (8754/30182) 2025-08-14T21:37:01.5921379Z Resolving deltas: 30% (9055/30182) 2025-08-14T21:37:01.5933998Z Resolving deltas: 31% (9357/30182) 2025-08-14T21:37:01.5949043Z Resolving deltas: 32% (9659/30182) 2025-08-14T21:37:01.5957844Z Resolving deltas: 33% (9961/30182) 2025-08-14T21:37:01.5966509Z Resolving deltas: 34% (10262/30182) 2025-08-14T21:37:01.5987345Z Resolving deltas: 35% (10564/30182) 2025-08-14T21:37:01.5999676Z Resolving deltas: 36% (10866/30182) 2025-08-14T21:37:01.6009035Z Resolving deltas: 37% (11168/30182) 2025-08-14T21:37:01.6017315Z Resolving deltas: 38% (11470/30182) 2025-08-14T21:37:01.6026474Z Resolving deltas: 39% (11771/30182) 2025-08-14T21:37:01.6045948Z Resolving deltas: 40% (12074/30182) 2025-08-14T21:37:01.6056282Z Resolving deltas: 41% (12375/30182) 2025-08-14T21:37:01.6067262Z Resolving deltas: 42% (12677/30182) 2025-08-14T21:37:01.6076776Z Resolving deltas: 43% (12979/30182) 2025-08-14T21:37:01.6088804Z Resolving deltas: 44% (13281/30182) 2025-08-14T21:37:01.6099731Z Resolving deltas: 45% (13586/30182) 2025-08-14T21:37:01.6110945Z Resolving deltas: 46% (13884/30182) 2025-08-14T21:37:01.6123171Z Resolving deltas: 47% (14186/30182) 2025-08-14T21:37:01.6134527Z Resolving deltas: 48% (14488/30182) 2025-08-14T21:37:01.6156481Z Resolving deltas: 49% (14790/30182) 2025-08-14T21:37:01.6171833Z Resolving deltas: 50% (15091/30182) 2025-08-14T21:37:01.6189728Z Resolving deltas: 51% (15394/30182) 2025-08-14T21:37:01.6202507Z Resolving deltas: 52% (15695/30182) 2025-08-14T21:37:01.6216640Z Resolving deltas: 53% (15999/30182) 2025-08-14T21:37:01.6234798Z Resolving deltas: 54% (16300/30182) 2025-08-14T21:37:01.6250909Z Resolving deltas: 55% (16601/30182) 2025-08-14T21:37:01.6265251Z Resolving deltas: 56% (16902/30182) 2025-08-14T21:37:01.6282473Z Resolving deltas: 57% (17204/30182) 2025-08-14T21:37:01.6296750Z Resolving deltas: 58% (17506/30182) 2025-08-14T21:37:01.6307602Z Resolving deltas: 59% (17809/30182) 2025-08-14T21:37:01.6316988Z Resolving deltas: 60% (18110/30182) 2025-08-14T21:37:01.6326487Z Resolving deltas: 61% (18412/30182) 2025-08-14T21:37:01.6340697Z Resolving deltas: 62% (18713/30182) 2025-08-14T21:37:01.6361132Z Resolving deltas: 63% (19015/30182) 2025-08-14T21:37:01.6375931Z Resolving deltas: 64% (19317/30182) 2025-08-14T21:37:01.6400673Z Resolving deltas: 65% (19619/30182) 2025-08-14T21:37:01.6412905Z Resolving deltas: 66% (19921/30182) 2025-08-14T21:37:01.6431198Z Resolving deltas: 67% (20223/30182) 2025-08-14T21:37:01.6448427Z Resolving deltas: 68% (20524/30182) 2025-08-14T21:37:01.6464501Z Resolving deltas: 69% (20826/30182) 2025-08-14T21:37:01.6477509Z Resolving deltas: 70% (21128/30182) 2025-08-14T21:37:01.6486036Z Resolving deltas: 71% (21430/30182) 2025-08-14T21:37:01.6510105Z Resolving deltas: 72% (21733/30182) 2025-08-14T21:37:01.6529585Z Resolving deltas: 73% (22033/30182) 2025-08-14T21:37:01.6550232Z Resolving deltas: 74% (22335/30182) 2025-08-14T21:37:01.6568188Z Resolving deltas: 75% (22637/30182) 2025-08-14T21:37:01.6586685Z Resolving deltas: 76% (22941/30182) 2025-08-14T21:37:01.6599706Z Resolving deltas: 77% (23241/30182) 2025-08-14T21:37:01.6612281Z Resolving deltas: 78% (23542/30182) 2025-08-14T21:37:01.6624238Z Resolving deltas: 79% (23845/30182) 2025-08-14T21:37:01.6636210Z Resolving deltas: 80% (24146/30182) 2025-08-14T21:37:01.6643837Z Resolving deltas: 81% (24449/30182) 2025-08-14T21:37:01.6665313Z Resolving deltas: 82% (24750/30182) 2025-08-14T21:37:01.6682035Z Resolving deltas: 83% (25052/30182) 2025-08-14T21:37:01.6697034Z Resolving deltas: 84% (25353/30182) 2025-08-14T21:37:01.6714387Z Resolving deltas: 85% (25655/30182) 2025-08-14T21:37:01.6730493Z Resolving deltas: 86% (25957/30182) 2025-08-14T21:37:01.6740999Z Resolving deltas: 87% (26260/30182) 2025-08-14T21:37:01.6751711Z Resolving deltas: 88% (26562/30182) 2025-08-14T21:37:01.6762633Z Resolving deltas: 89% (26862/30182) 2025-08-14T21:37:01.6773914Z Resolving deltas: 90% (27164/30182) 2025-08-14T21:37:01.6783636Z Resolving deltas: 91% (27466/30182) 2025-08-14T21:37:01.6792505Z Resolving deltas: 92% (27768/30182) 2025-08-14T21:37:01.6805117Z Resolving deltas: 93% (28070/30182) 2025-08-14T21:37:01.6815293Z Resolving deltas: 94% (28373/30182) 2025-08-14T21:37:01.6825164Z Resolving deltas: 95% (28675/30182) 2025-08-14T21:37:01.6835953Z Resolving deltas: 96% (28976/30182) 2025-08-14T21:37:01.6848188Z Resolving deltas: 97% (29277/30182) 2025-08-14T21:37:01.6860653Z Resolving deltas: 98% (29581/30182) 2025-08-14T21:37:01.6877979Z Resolving deltas: 99% (29881/30182) 2025-08-14T21:37:01.6879866Z Resolving deltas: 100% (30182/30182) 2025-08-14T21:37:01.6886337Z Resolving deltas: 100% (30182/30182), done. 2025-08-14T21:37:01.7141943Z Cloning into '/var/lib/jenkins/pytorch/fbgemm/external/cpuinfo'... 2025-08-14T21:37:01.9494168Z remote: Enumerating objects: 7121, done. 2025-08-14T21:37:01.9494657Z remote: Counting objects: 0% (1/2701) 2025-08-14T21:37:01.9495051Z remote: Counting objects: 1% (28/2701) 2025-08-14T21:37:01.9495417Z remote: Counting objects: 2% (55/2701) 2025-08-14T21:37:01.9495776Z remote: Counting objects: 3% (82/2701) 2025-08-14T21:37:01.9501330Z remote: Counting objects: 4% (109/2701) 2025-08-14T21:37:01.9501563Z remote: Counting objects: 5% (136/2701) 2025-08-14T21:37:01.9501765Z remote: Counting objects: 6% (163/2701) 2025-08-14T21:37:01.9501976Z remote: Counting objects: 7% (190/2701) 2025-08-14T21:37:01.9502189Z remote: Counting objects: 8% (217/2701) 2025-08-14T21:37:01.9502401Z remote: Counting objects: 9% (244/2701) 2025-08-14T21:37:01.9502605Z remote: Counting objects: 10% (271/2701) 2025-08-14T21:37:01.9503028Z remote: Counting objects: 11% (298/2701) 2025-08-14T21:37:01.9503223Z remote: Counting objects: 12% (325/2701) 2025-08-14T21:37:01.9503419Z remote: Counting objects: 13% (352/2701) 2025-08-14T21:37:01.9503619Z remote: Counting objects: 14% (379/2701) 2025-08-14T21:37:01.9503828Z remote: Counting objects: 15% (406/2701) 2025-08-14T21:37:01.9504042Z remote: Counting objects: 16% (433/2701) 2025-08-14T21:37:01.9504246Z remote: Counting objects: 17% (460/2701) 2025-08-14T21:37:01.9504444Z remote: Counting objects: 18% (487/2701) 2025-08-14T21:37:01.9504649Z remote: Counting objects: 19% (514/2701) 2025-08-14T21:37:01.9504855Z remote: Counting objects: 20% (541/2701) 2025-08-14T21:37:01.9505072Z remote: Counting objects: 21% (568/2701) 2025-08-14T21:37:01.9505495Z remote: Counting objects: 22% (595/2701) 2025-08-14T21:37:01.9505706Z remote: Counting objects: 23% (622/2701) 2025-08-14T21:37:01.9505907Z remote: Counting objects: 24% (649/2701) 2025-08-14T21:37:01.9508157Z remote: Counting objects: 25% (676/2701) 2025-08-14T21:37:01.9508365Z remote: Counting objects: 26% (703/2701) 2025-08-14T21:37:01.9508565Z remote: Counting objects: 27% (730/2701) 2025-08-14T21:37:01.9508761Z remote: Counting objects: 28% (757/2701) 2025-08-14T21:37:01.9508956Z remote: Counting objects: 29% (784/2701) 2025-08-14T21:37:01.9509155Z remote: Counting objects: 30% (811/2701) 2025-08-14T21:37:01.9509355Z remote: Counting objects: 31% (838/2701) 2025-08-14T21:37:01.9590655Z remote: Counting objects: 32% (865/2701) 2025-08-14T21:37:01.9590799Z remote: Counting objects: 33% (892/2701) 2025-08-14T21:37:01.9590947Z remote: Counting objects: 34% (919/2701) 2025-08-14T21:37:01.9593081Z remote: Counting objects: 35% (946/2701) 2025-08-14T21:37:01.9593242Z remote: Counting objects: 36% (973/2701) 2025-08-14T21:37:01.9593391Z remote: Counting objects: 37% (1000/2701) 2025-08-14T21:37:01.9593540Z remote: Counting objects: 38% (1027/2701) 2025-08-14T21:37:01.9593740Z remote: Counting objects: 39% (1054/2701) 2025-08-14T21:37:01.9593886Z remote: Counting objects: 40% (1081/2701) 2025-08-14T21:37:01.9594035Z remote: Counting objects: 41% (1108/2701) 2025-08-14T21:37:01.9594182Z remote: Counting objects: 42% (1135/2701) 2025-08-14T21:37:01.9594326Z remote: Counting objects: 43% (1162/2701) 2025-08-14T21:37:01.9594517Z remote: Counting objects: 44% (1189/2701) 2025-08-14T21:37:01.9596781Z remote: Counting objects: 45% (1216/2701) 2025-08-14T21:37:01.9597019Z remote: Counting objects: 46% (1243/2701) 2025-08-14T21:37:01.9597380Z remote: Counting objects: 47% (1270/2701) 2025-08-14T21:37:01.9597617Z remote: Counting objects: 48% (1297/2701) 2025-08-14T21:37:01.9597846Z remote: Counting objects: 49% (1324/2701) 2025-08-14T21:37:01.9598034Z remote: Counting objects: 50% (1351/2701) 2025-08-14T21:37:01.9598181Z remote: Counting objects: 51% (1378/2701) 2025-08-14T21:37:01.9598325Z remote: Counting objects: 52% (1405/2701) 2025-08-14T21:37:01.9598468Z remote: Counting objects: 53% (1432/2701) 2025-08-14T21:37:01.9598611Z remote: Counting objects: 54% (1459/2701) 2025-08-14T21:37:01.9598759Z remote: Counting objects: 55% (1486/2701) 2025-08-14T21:37:01.9598902Z remote: Counting objects: 56% (1513/2701) 2025-08-14T21:37:01.9599046Z remote: Counting objects: 57% (1540/2701) 2025-08-14T21:37:01.9599189Z remote: Counting objects: 58% (1567/2701) 2025-08-14T21:37:01.9599343Z remote: Counting objects: 59% (1594/2701) 2025-08-14T21:37:01.9600763Z remote: Counting objects: 60% (1621/2701) 2025-08-14T21:37:01.9600908Z remote: Counting objects: 61% (1648/2701) 2025-08-14T21:37:01.9601038Z remote: Counting objects: 62% (1675/2701) 2025-08-14T21:37:01.9601169Z remote: Counting objects: 63% (1702/2701) 2025-08-14T21:37:01.9601298Z remote: Counting objects: 64% (1729/2701) 2025-08-14T21:37:01.9601426Z remote: Counting objects: 65% (1756/2701) 2025-08-14T21:37:01.9601555Z remote: Counting objects: 66% (1783/2701) 2025-08-14T21:37:01.9601686Z remote: Counting objects: 67% (1810/2701) 2025-08-14T21:37:01.9601815Z remote: Counting objects: 68% (1837/2701) 2025-08-14T21:37:01.9601944Z remote: Counting objects: 69% (1864/2701) 2025-08-14T21:37:01.9602073Z remote: Counting objects: 70% (1891/2701) 2025-08-14T21:37:01.9603257Z remote: Counting objects: 71% (1918/2701) 2025-08-14T21:37:01.9603396Z remote: Counting objects: 72% (1945/2701) 2025-08-14T21:37:01.9603588Z remote: Counting objects: 73% (1972/2701) 2025-08-14T21:37:01.9603719Z remote: Counting objects: 74% (1999/2701) 2025-08-14T21:37:01.9603850Z remote: Counting objects: 75% (2026/2701) 2025-08-14T21:37:01.9603979Z remote: Counting objects: 76% (2053/2701) 2025-08-14T21:37:01.9604108Z remote: Counting objects: 77% (2080/2701) 2025-08-14T21:37:01.9604237Z remote: Counting objects: 78% (2107/2701) 2025-08-14T21:37:01.9604369Z remote: Counting objects: 79% (2134/2701) 2025-08-14T21:37:01.9604497Z remote: Counting objects: 80% (2161/2701) 2025-08-14T21:37:01.9604627Z remote: Counting objects: 81% (2188/2701) 2025-08-14T21:37:01.9605741Z remote: Counting objects: 82% (2215/2701) 2025-08-14T21:37:01.9605873Z remote: Counting objects: 83% (2242/2701) 2025-08-14T21:37:01.9606003Z remote: Counting objects: 84% (2269/2701) 2025-08-14T21:37:01.9606137Z remote: Counting objects: 85% (2296/2701) 2025-08-14T21:37:01.9606271Z remote: Counting objects: 86% (2323/2701) 2025-08-14T21:37:01.9606403Z remote: Counting objects: 87% (2350/2701) 2025-08-14T21:37:01.9606532Z remote: Counting objects: 88% (2377/2701) 2025-08-14T21:37:01.9606662Z remote: Counting objects: 89% (2404/2701) 2025-08-14T21:37:01.9606792Z remote: Counting objects: 90% (2431/2701) 2025-08-14T21:37:01.9606924Z remote: Counting objects: 91% (2458/2701) 2025-08-14T21:37:01.9607053Z remote: Counting objects: 92% (2485/2701) 2025-08-14T21:37:01.9608080Z remote: Counting objects: 93% (2512/2701) 2025-08-14T21:37:01.9608212Z remote: Counting objects: 94% (2539/2701) 2025-08-14T21:37:01.9608343Z remote: Counting objects: 95% (2566/2701) 2025-08-14T21:37:01.9608471Z remote: Counting objects: 96% (2593/2701) 2025-08-14T21:37:01.9608637Z remote: Counting objects: 97% (2620/2701) 2025-08-14T21:37:01.9608904Z remote: Counting objects: 98% (2647/2701) 2025-08-14T21:37:01.9609116Z remote: Counting objects: 99% (2674/2701) 2025-08-14T21:37:01.9609319Z remote: Counting objects: 100% (2701/2701) 2025-08-14T21:37:01.9609540Z remote: Counting objects: 100% (2701/2701), done. 2025-08-14T21:37:01.9609705Z remote: Compressing objects: 0% (1/548) 2025-08-14T21:37:01.9611071Z remote: Compressing objects: 1% (6/548) 2025-08-14T21:37:01.9611287Z remote: Compressing objects: 2% (11/548) 2025-08-14T21:37:01.9611492Z remote: Compressing objects: 3% (17/548) 2025-08-14T21:37:01.9611695Z remote: Compressing objects: 4% (22/548) 2025-08-14T21:37:01.9611906Z remote: Compressing objects: 5% (28/548) 2025-08-14T21:37:01.9612115Z remote: Compressing objects: 6% (33/548) 2025-08-14T21:37:01.9612314Z remote: Compressing objects: 7% (39/548) 2025-08-14T21:37:01.9704402Z remote: Compressing objects: 8% (44/548) 2025-08-14T21:37:01.9704620Z remote: Compressing objects: 9% (50/548) 2025-08-14T21:37:01.9704834Z remote: Compressing objects: 10% (55/548) 2025-08-14T21:37:01.9706459Z remote: Compressing objects: 11% (61/548) 2025-08-14T21:37:01.9706607Z remote: Compressing objects: 12% (66/548) 2025-08-14T21:37:01.9710822Z remote: Compressing objects: 13% (72/548) 2025-08-14T21:37:01.9724546Z remote: Compressing objects: 14% (77/548) 2025-08-14T21:37:01.9792844Z remote: Compressing objects: 15% (83/548) 2025-08-14T21:37:01.9802660Z remote: Compressing objects: 16% (88/548) 2025-08-14T21:37:01.9803893Z remote: Compressing objects: 17% (94/548) 2025-08-14T21:37:01.9838261Z remote: Compressing objects: 18% (99/548) 2025-08-14T21:37:01.9877668Z remote: Compressing objects: 19% (105/548) 2025-08-14T21:37:01.9932272Z remote: Compressing objects: 20% (110/548) 2025-08-14T21:37:01.9988887Z remote: Compressing objects: 21% (116/548) 2025-08-14T21:37:02.0021765Z remote: Compressing objects: 22% (121/548) 2025-08-14T21:37:02.0036377Z remote: Compressing objects: 23% (127/548) 2025-08-14T21:37:02.0042989Z remote: Compressing objects: 24% (132/548) 2025-08-14T21:37:02.0051251Z remote: Compressing objects: 25% (137/548) 2025-08-14T21:37:02.0066128Z remote: Compressing objects: 26% (143/548) 2025-08-14T21:37:02.0080097Z remote: Compressing objects: 27% (148/548) 2025-08-14T21:37:02.0127661Z remote: Compressing objects: 28% (154/548) 2025-08-14T21:37:02.0183548Z remote: Compressing objects: 29% (159/548) 2025-08-14T21:37:02.0239986Z remote: Compressing objects: 30% (165/548) 2025-08-14T21:37:02.0347776Z remote: Compressing objects: 31% (170/548) 2025-08-14T21:37:02.0390847Z remote: Compressing objects: 32% (176/548) 2025-08-14T21:37:02.0395177Z remote: Compressing objects: 33% (181/548) 2025-08-14T21:37:02.0443077Z remote: Compressing objects: 34% (187/548) 2025-08-14T21:37:02.0506047Z remote: Compressing objects: 35% (192/548) 2025-08-14T21:37:02.0555526Z remote: Compressing objects: 36% (198/548) 2025-08-14T21:37:02.0623961Z remote: Compressing objects: 37% (203/548) 2025-08-14T21:37:02.0654226Z remote: Compressing objects: 38% (209/548) 2025-08-14T21:37:02.0725107Z remote: Compressing objects: 39% (214/548) 2025-08-14T21:37:02.0746887Z remote: Compressing objects: 40% (220/548) 2025-08-14T21:37:02.0791269Z remote: Compressing objects: 41% (225/548) 2025-08-14T21:37:02.0826599Z remote: Compressing objects: 42% (231/548) 2025-08-14T21:37:02.0865413Z remote: Compressing objects: 43% (236/548) 2025-08-14T21:37:02.0880101Z remote: Compressing objects: 44% (242/548) 2025-08-14T21:37:02.0908264Z remote: Compressing objects: 45% (247/548) 2025-08-14T21:37:02.0927708Z remote: Compressing objects: 46% (253/548) 2025-08-14T21:37:02.0943134Z remote: Compressing objects: 47% (258/548) 2025-08-14T21:37:02.0962848Z remote: Compressing objects: 48% (264/548) 2025-08-14T21:37:02.0980362Z remote: Compressing objects: 49% (269/548) 2025-08-14T21:37:02.0982533Z remote: Compressing objects: 50% (274/548) 2025-08-14T21:37:02.0989196Z remote: Compressing objects: 51% (280/548) 2025-08-14T21:37:02.0999071Z remote: Compressing objects: 52% (285/548) 2025-08-14T21:37:02.1002628Z remote: Compressing objects: 53% (291/548) 2025-08-14T21:37:02.1010357Z remote: Compressing objects: 54% (296/548) 2025-08-14T21:37:02.1016997Z remote: Compressing objects: 55% (302/548) 2025-08-14T21:37:02.1021398Z remote: Compressing objects: 56% (307/548) 2025-08-14T21:37:02.1022906Z remote: Compressing objects: 57% (313/548) 2025-08-14T21:37:02.1023577Z remote: Compressing objects: 58% (318/548) 2025-08-14T21:37:02.1025943Z remote: Compressing objects: 59% (324/548) 2025-08-14T21:37:02.1028366Z remote: Compressing objects: 60% (329/548) 2025-08-14T21:37:02.1028933Z remote: Compressing objects: 61% (335/548) 2025-08-14T21:37:02.1031403Z remote: Compressing objects: 62% (340/548) 2025-08-14T21:37:02.1032433Z remote: Compressing objects: 63% (346/548) 2025-08-14T21:37:02.1033550Z remote: Compressing objects: 64% (351/548) 2025-08-14T21:37:02.1036809Z remote: Compressing objects: 65% (357/548) 2025-08-14T21:37:02.1037082Z remote: Compressing objects: 66% (362/548) 2025-08-14T21:37:02.1038955Z remote: Compressing objects: 67% (368/548) 2025-08-14T21:37:02.1041019Z remote: Compressing objects: 68% (373/548) 2025-08-14T21:37:02.1042111Z remote: Compressing objects: 69% (379/548) 2025-08-14T21:37:02.1043028Z remote: Compressing objects: 70% (384/548) 2025-08-14T21:37:02.1044185Z remote: Compressing objects: 71% (390/548) 2025-08-14T21:37:02.1044784Z remote: Compressing objects: 72% (395/548) 2025-08-14T21:37:02.1045022Z remote: Compressing objects: 73% (401/548) 2025-08-14T21:37:02.1045793Z remote: Compressing objects: 74% (406/548) 2025-08-14T21:37:02.1092539Z remote: Compressing objects: 75% (411/548) 2025-08-14T21:37:02.1095038Z remote: Compressing objects: 76% (417/548) 2025-08-14T21:37:02.1095180Z remote: Compressing objects: 77% (422/548) 2025-08-14T21:37:02.1095317Z remote: Compressing objects: 78% (428/548) 2025-08-14T21:37:02.1095449Z remote: Compressing objects: 79% (433/548) 2025-08-14T21:37:02.1095582Z remote: Compressing objects: 80% (439/548) 2025-08-14T21:37:02.1095716Z remote: Compressing objects: 81% (444/548) 2025-08-14T21:37:02.1095849Z remote: Compressing objects: 82% (450/548) 2025-08-14T21:37:02.1095981Z remote: Compressing objects: 83% (455/548) 2025-08-14T21:37:02.1096122Z remote: Compressing objects: 84% (461/548) 2025-08-14T21:37:02.1096256Z remote: Compressing objects: 85% (466/548) 2025-08-14T21:37:02.1096395Z remote: Compressing objects: 86% (472/548) 2025-08-14T21:37:02.1097793Z remote: Compressing objects: 87% (477/548) 2025-08-14T21:37:02.1097931Z remote: Compressing objects: 88% (483/548) 2025-08-14T21:37:02.1098064Z remote: Compressing objects: 89% (488/548) 2025-08-14T21:37:02.1098196Z remote: Compressing objects: 90% (494/548) 2025-08-14T21:37:02.1098328Z remote: Compressing objects: 91% (499/548) 2025-08-14T21:37:02.1098460Z remote: Compressing objects: 92% (505/548) 2025-08-14T21:37:02.1098592Z remote: Compressing objects: 93% (510/548) 2025-08-14T21:37:02.1098725Z remote: Compressing objects: 94% (516/548) 2025-08-14T21:37:02.1098858Z remote: Compressing objects: 95% (521/548) 2025-08-14T21:37:02.1098990Z remote: Compressing objects: 96% (527/548) 2025-08-14T21:37:02.1099203Z remote: Compressing objects: 97% (532/548) 2025-08-14T21:37:02.1100405Z remote: Compressing objects: 98% (538/548) 2025-08-14T21:37:02.1100540Z remote: Compressing objects: 99% (543/548) 2025-08-14T21:37:02.1100674Z remote: Compressing objects: 100% (548/548) 2025-08-14T21:37:02.1100823Z remote: Compressing objects: 100% (548/548), done. 2025-08-14T21:37:02.1250662Z Receiving objects: 0% (1/7121) 2025-08-14T21:37:02.1438693Z Receiving objects: 1% (72/7121) 2025-08-14T21:37:02.1478563Z Receiving objects: 2% (143/7121) 2025-08-14T21:37:02.1566599Z Receiving objects: 3% (214/7121) 2025-08-14T21:37:02.1622570Z Receiving objects: 4% (285/7121) 2025-08-14T21:37:02.1639257Z Receiving objects: 5% (357/7121) 2025-08-14T21:37:02.1661212Z Receiving objects: 6% (428/7121) 2025-08-14T21:37:02.1665150Z Receiving objects: 7% (499/7121) 2025-08-14T21:37:02.1665680Z Receiving objects: 8% (570/7121) 2025-08-14T21:37:02.1670935Z Receiving objects: 9% (641/7121) 2025-08-14T21:37:02.1673364Z Receiving objects: 10% (713/7121) 2025-08-14T21:37:02.1675830Z Receiving objects: 11% (784/7121) 2025-08-14T21:37:02.1680425Z Receiving objects: 12% (855/7121) 2025-08-14T21:37:02.1683162Z Receiving objects: 13% (926/7121) 2025-08-14T21:37:02.1685652Z Receiving objects: 14% (997/7121) 2025-08-14T21:37:02.1780516Z Receiving objects: 15% (1069/7121) 2025-08-14T21:37:02.1851092Z Receiving objects: 16% (1140/7121) 2025-08-14T21:37:02.1862293Z Receiving objects: 17% (1211/7121) 2025-08-14T21:37:02.2090705Z Receiving objects: 18% (1282/7121) 2025-08-14T21:37:02.2465896Z Receiving objects: 19% (1353/7121) 2025-08-14T21:37:02.2468482Z Receiving objects: 20% (1425/7121) 2025-08-14T21:37:02.2469033Z Receiving objects: 21% (1496/7121) 2025-08-14T21:37:02.2469220Z Receiving objects: 22% (1567/7121) 2025-08-14T21:37:02.2471826Z Receiving objects: 23% (1638/7121) 2025-08-14T21:37:02.2472001Z Receiving objects: 24% (1710/7121) 2025-08-14T21:37:02.2473563Z Receiving objects: 25% (1781/7121) 2025-08-14T21:37:02.2474052Z Receiving objects: 26% (1852/7121) 2025-08-14T21:37:02.2474890Z Receiving objects: 27% (1923/7121) 2025-08-14T21:37:02.2475202Z Receiving objects: 28% (1994/7121) 2025-08-14T21:37:02.2475848Z Receiving objects: 29% (2066/7121) 2025-08-14T21:37:02.2476821Z Receiving objects: 30% (2137/7121) 2025-08-14T21:37:02.2477382Z Receiving objects: 31% (2208/7121) 2025-08-14T21:37:02.2479004Z Receiving objects: 32% (2279/7121) 2025-08-14T21:37:02.2479524Z Receiving objects: 33% (2350/7121) 2025-08-14T21:37:02.2485013Z Receiving objects: 34% (2422/7121) 2025-08-14T21:37:02.2485491Z Receiving objects: 35% (2493/7121) 2025-08-14T21:37:02.2485756Z Receiving objects: 36% (2564/7121) 2025-08-14T21:37:02.2486100Z Receiving objects: 37% (2635/7121) 2025-08-14T21:37:02.2486321Z Receiving objects: 38% (2706/7121) 2025-08-14T21:37:02.2487776Z Receiving objects: 39% (2778/7121) 2025-08-14T21:37:02.2487998Z Receiving objects: 40% (2849/7121) 2025-08-14T21:37:02.2488818Z Receiving objects: 41% (2920/7121) 2025-08-14T21:37:02.2495581Z Receiving objects: 42% (2991/7121) 2025-08-14T21:37:02.2495804Z Receiving objects: 43% (3063/7121) 2025-08-14T21:37:02.2495982Z Receiving objects: 44% (3134/7121) 2025-08-14T21:37:02.2496148Z Receiving objects: 45% (3205/7121) 2025-08-14T21:37:02.2496318Z Receiving objects: 46% (3276/7121) 2025-08-14T21:37:02.2496493Z Receiving objects: 47% (3347/7121) 2025-08-14T21:37:02.2497032Z Receiving objects: 48% (3419/7121) 2025-08-14T21:37:02.2497686Z Receiving objects: 49% (3490/7121) 2025-08-14T21:37:02.2511082Z Receiving objects: 50% (3561/7121) 2025-08-14T21:37:02.2524785Z Receiving objects: 51% (3632/7121) 2025-08-14T21:37:02.2530696Z Receiving objects: 52% (3703/7121) 2025-08-14T21:37:02.2531371Z Receiving objects: 53% (3775/7121) 2025-08-14T21:37:02.2531549Z Receiving objects: 54% (3846/7121) 2025-08-14T21:37:02.2531679Z Receiving objects: 55% (3917/7121) 2025-08-14T21:37:02.2531810Z Receiving objects: 56% (3988/7121) 2025-08-14T21:37:02.2532340Z Receiving objects: 57% (4059/7121) 2025-08-14T21:37:02.2533720Z Receiving objects: 58% (4131/7121) 2025-08-14T21:37:02.2533885Z Receiving objects: 59% (4202/7121) 2025-08-14T21:37:02.2535125Z Receiving objects: 60% (4273/7121) 2025-08-14T21:37:02.2540192Z Receiving objects: 61% (4344/7121) 2025-08-14T21:37:02.2543499Z Receiving objects: 62% (4416/7121) 2025-08-14T21:37:02.2548681Z Receiving objects: 63% (4487/7121) 2025-08-14T21:37:02.2548805Z Receiving objects: 64% (4558/7121) 2025-08-14T21:37:02.2549858Z Receiving objects: 65% (4629/7121) 2025-08-14T21:37:02.2550136Z Receiving objects: 66% (4700/7121) 2025-08-14T21:37:02.2550294Z Receiving objects: 67% (4772/7121) 2025-08-14T21:37:02.2550436Z Receiving objects: 68% (4843/7121) 2025-08-14T21:37:02.2550571Z Receiving objects: 69% (4914/7121) 2025-08-14T21:37:02.2550703Z Receiving objects: 70% (4985/7121) 2025-08-14T21:37:02.2570414Z Receiving objects: 71% (5056/7121) 2025-08-14T21:37:02.2585872Z Receiving objects: 72% (5128/7121) 2025-08-14T21:37:02.2603060Z Receiving objects: 73% (5199/7121) 2025-08-14T21:37:02.2622036Z Receiving objects: 74% (5270/7121) 2025-08-14T21:37:02.2641873Z Receiving objects: 75% (5341/7121) 2025-08-14T21:37:02.2658892Z Receiving objects: 76% (5412/7121) 2025-08-14T21:37:02.2681405Z Receiving objects: 77% (5484/7121) 2025-08-14T21:37:02.2688839Z Receiving objects: 78% (5555/7121) 2025-08-14T21:37:02.2690617Z Receiving objects: 79% (5626/7121) 2025-08-14T21:37:02.2694027Z Receiving objects: 80% (5697/7121) 2025-08-14T21:37:02.2697917Z Receiving objects: 81% (5769/7121) 2025-08-14T21:37:02.2702054Z Receiving objects: 82% (5840/7121) 2025-08-14T21:37:02.2707963Z Receiving objects: 83% (5911/7121) 2025-08-14T21:37:02.2717242Z Receiving objects: 84% (5982/7121) 2025-08-14T21:37:02.2730244Z Receiving objects: 85% (6053/7121) 2025-08-14T21:37:02.2741754Z Receiving objects: 86% (6125/7121) 2025-08-14T21:37:02.2748195Z Receiving objects: 87% (6196/7121) 2025-08-14T21:37:02.2751773Z Receiving objects: 88% (6267/7121) 2025-08-14T21:37:02.2755274Z Receiving objects: 89% (6338/7121) 2025-08-14T21:37:02.2756515Z Receiving objects: 90% (6409/7121) 2025-08-14T21:37:02.2757196Z Receiving objects: 91% (6481/7121) 2025-08-14T21:37:02.2759493Z Receiving objects: 92% (6552/7121) 2025-08-14T21:37:02.2761926Z Receiving objects: 93% (6623/7121) 2025-08-14T21:37:02.2764073Z Receiving objects: 94% (6694/7121) 2025-08-14T21:37:02.2768424Z Receiving objects: 95% (6765/7121) 2025-08-14T21:37:02.2770775Z Receiving objects: 96% (6837/7121) 2025-08-14T21:37:02.2773964Z Receiving objects: 97% (6908/7121) 2025-08-14T21:37:02.2774193Z remote: Total 7121 (delta 2490), reused 2154 (delta 2153), pack-reused 4420 (from 2) 2025-08-14T21:37:02.2778987Z Receiving objects: 98% (6979/7121) 2025-08-14T21:37:02.2780992Z Receiving objects: 99% (7050/7121) 2025-08-14T21:37:02.2781139Z Receiving objects: 100% (7121/7121) 2025-08-14T21:37:02.2781303Z Receiving objects: 100% (7121/7121), 5.28 MiB | 32.39 MiB/s, done. 2025-08-14T21:37:02.2794391Z Resolving deltas: 0% (0/5342) 2025-08-14T21:37:02.2798464Z Resolving deltas: 1% (54/5342) 2025-08-14T21:37:02.2808129Z Resolving deltas: 2% (107/5342) 2025-08-14T21:37:02.2808504Z Resolving deltas: 3% (161/5342) 2025-08-14T21:37:02.2808649Z Resolving deltas: 4% (214/5342) 2025-08-14T21:37:02.2808776Z Resolving deltas: 5% (269/5342) 2025-08-14T21:37:02.2809268Z Resolving deltas: 6% (322/5342) 2025-08-14T21:37:02.2810677Z Resolving deltas: 7% (374/5342) 2025-08-14T21:37:02.2812017Z Resolving deltas: 8% (429/5342) 2025-08-14T21:37:02.2812909Z Resolving deltas: 9% (481/5342) 2025-08-14T21:37:02.2814541Z Resolving deltas: 10% (537/5342) 2025-08-14T21:37:02.2814972Z Resolving deltas: 11% (588/5342) 2025-08-14T21:37:02.2816423Z Resolving deltas: 12% (642/5342) 2025-08-14T21:37:02.2817294Z Resolving deltas: 13% (696/5342) 2025-08-14T21:37:02.2818881Z Resolving deltas: 14% (748/5342) 2025-08-14T21:37:02.2823455Z Resolving deltas: 15% (802/5342) 2025-08-14T21:37:02.2825847Z Resolving deltas: 16% (859/5342) 2025-08-14T21:37:02.2826968Z Resolving deltas: 17% (909/5342) 2025-08-14T21:37:02.2828135Z Resolving deltas: 18% (962/5342) 2025-08-14T21:37:02.2829153Z Resolving deltas: 19% (1016/5342) 2025-08-14T21:37:02.2830331Z Resolving deltas: 20% (1070/5342) 2025-08-14T21:37:02.2833289Z Resolving deltas: 21% (1122/5342) 2025-08-14T21:37:02.2834555Z Resolving deltas: 22% (1176/5342) 2025-08-14T21:37:02.2836138Z Resolving deltas: 23% (1230/5342) 2025-08-14T21:37:02.2837580Z Resolving deltas: 24% (1283/5342) 2025-08-14T21:37:02.2839261Z Resolving deltas: 25% (1336/5342) 2025-08-14T21:37:02.2841131Z Resolving deltas: 26% (1389/5342) 2025-08-14T21:37:02.2842602Z Resolving deltas: 27% (1443/5342) 2025-08-14T21:37:02.2844608Z Resolving deltas: 28% (1496/5342) 2025-08-14T21:37:02.2846253Z Resolving deltas: 29% (1550/5342) 2025-08-14T21:37:02.2848156Z Resolving deltas: 30% (1603/5342) 2025-08-14T21:37:02.2850018Z Resolving deltas: 31% (1659/5342) 2025-08-14T21:37:02.2851874Z Resolving deltas: 32% (1712/5342) 2025-08-14T21:37:02.2854296Z Resolving deltas: 33% (1763/5342) 2025-08-14T21:37:02.2855982Z Resolving deltas: 34% (1817/5342) 2025-08-14T21:37:02.2857784Z Resolving deltas: 35% (1870/5342) 2025-08-14T21:37:02.2862392Z Resolving deltas: 36% (1924/5342) 2025-08-14T21:37:02.2863518Z Resolving deltas: 37% (1977/5342) 2025-08-14T21:37:02.2866571Z Resolving deltas: 38% (2030/5342) 2025-08-14T21:37:02.2869694Z Resolving deltas: 39% (2084/5342) 2025-08-14T21:37:02.2872331Z Resolving deltas: 40% (2137/5342) 2025-08-14T21:37:02.2874210Z Resolving deltas: 41% (2195/5342) 2025-08-14T21:37:02.2875421Z Resolving deltas: 42% (2245/5342) 2025-08-14T21:37:02.2877404Z Resolving deltas: 43% (2298/5342) 2025-08-14T21:37:02.2879126Z Resolving deltas: 44% (2351/5342) 2025-08-14T21:37:02.2882090Z Resolving deltas: 45% (2404/5342) 2025-08-14T21:37:02.2884935Z Resolving deltas: 46% (2458/5342) 2025-08-14T21:37:02.2889144Z Resolving deltas: 47% (2511/5342) 2025-08-14T21:37:02.2889585Z Resolving deltas: 48% (2565/5342) 2025-08-14T21:37:02.2891544Z Resolving deltas: 49% (2618/5342) 2025-08-14T21:37:02.2893940Z Resolving deltas: 50% (2671/5342) 2025-08-14T21:37:02.2895923Z Resolving deltas: 51% (2725/5342) 2025-08-14T21:37:02.2897818Z Resolving deltas: 52% (2778/5342) 2025-08-14T21:37:02.2899356Z Resolving deltas: 53% (2832/5342) 2025-08-14T21:37:02.2901834Z Resolving deltas: 54% (2885/5342) 2025-08-14T21:37:02.2903984Z Resolving deltas: 55% (2939/5342) 2025-08-14T21:37:02.2906259Z Resolving deltas: 56% (2992/5342) 2025-08-14T21:37:02.2908935Z Resolving deltas: 57% (3045/5342) 2025-08-14T21:37:02.2910933Z Resolving deltas: 58% (3099/5342) 2025-08-14T21:37:02.2913231Z Resolving deltas: 59% (3152/5342) 2025-08-14T21:37:02.2915137Z Resolving deltas: 60% (3207/5342) 2025-08-14T21:37:02.2918484Z Resolving deltas: 61% (3259/5342) 2025-08-14T21:37:02.2922246Z Resolving deltas: 62% (3313/5342) 2025-08-14T21:37:02.2925067Z Resolving deltas: 63% (3366/5342) 2025-08-14T21:37:02.2927432Z Resolving deltas: 64% (3420/5342) 2025-08-14T21:37:02.2928657Z Resolving deltas: 65% (3473/5342) 2025-08-14T21:37:02.2930790Z Resolving deltas: 66% (3526/5342) 2025-08-14T21:37:02.2932020Z Resolving deltas: 67% (3582/5342) 2025-08-14T21:37:02.2934492Z Resolving deltas: 68% (3633/5342) 2025-08-14T21:37:02.2934625Z Resolving deltas: 69% (3687/5342) 2025-08-14T21:37:02.2935624Z Resolving deltas: 70% (3740/5342) 2025-08-14T21:37:02.2936764Z Resolving deltas: 71% (3793/5342) 2025-08-14T21:37:02.2938571Z Resolving deltas: 72% (3847/5342) 2025-08-14T21:37:02.2939702Z Resolving deltas: 73% (3900/5342) 2025-08-14T21:37:02.2941213Z Resolving deltas: 74% (3955/5342) 2025-08-14T21:37:02.2942893Z Resolving deltas: 75% (4008/5342) 2025-08-14T21:37:02.2949444Z Resolving deltas: 76% (4061/5342) 2025-08-14T21:37:02.2950441Z Resolving deltas: 77% (4114/5342) 2025-08-14T21:37:02.2953500Z Resolving deltas: 78% (4171/5342) 2025-08-14T21:37:02.2954294Z Resolving deltas: 79% (4222/5342) 2025-08-14T21:37:02.2957359Z Resolving deltas: 80% (4274/5342) 2025-08-14T21:37:02.2960326Z Resolving deltas: 81% (4328/5342) 2025-08-14T21:37:02.2962448Z Resolving deltas: 82% (4381/5342) 2025-08-14T21:37:02.2963564Z Resolving deltas: 83% (4434/5342) 2025-08-14T21:37:02.2964711Z Resolving deltas: 84% (4490/5342) 2025-08-14T21:37:02.2965168Z Resolving deltas: 85% (4541/5342) 2025-08-14T21:37:02.2966341Z Resolving deltas: 86% (4597/5342) 2025-08-14T21:37:02.2967749Z Resolving deltas: 87% (4648/5342) 2025-08-14T21:37:02.2968698Z Resolving deltas: 88% (4704/5342) 2025-08-14T21:37:02.2969929Z Resolving deltas: 89% (4755/5342) 2025-08-14T21:37:02.2970971Z Resolving deltas: 90% (4808/5342) 2025-08-14T21:37:02.2973421Z Resolving deltas: 91% (4867/5342) 2025-08-14T21:37:02.2973581Z Resolving deltas: 92% (4915/5342) 2025-08-14T21:37:02.2974634Z Resolving deltas: 93% (4970/5342) 2025-08-14T21:37:02.2975825Z Resolving deltas: 94% (5022/5342) 2025-08-14T21:37:02.2977119Z Resolving deltas: 95% (5075/5342) 2025-08-14T21:37:02.2978270Z Resolving deltas: 96% (5129/5342) 2025-08-14T21:37:02.2979725Z Resolving deltas: 97% (5182/5342) 2025-08-14T21:37:02.2981214Z Resolving deltas: 98% (5236/5342) 2025-08-14T21:37:02.2994708Z Resolving deltas: 99% (5289/5342) 2025-08-14T21:37:02.3083588Z Resolving deltas: 100% (5342/5342) 2025-08-14T21:37:02.3086092Z Resolving deltas: 100% (5342/5342), done. 2025-08-14T21:37:02.3233742Z Cloning into '/var/lib/jenkins/pytorch/fbgemm/external/cutlass'... 2025-08-14T21:37:02.5462252Z remote: Enumerating objects: 34007, done. 2025-08-14T21:37:02.6186426Z Receiving objects: 0% (1/34007) 2025-08-14T21:37:02.6369776Z Receiving objects: 1% (341/34007) 2025-08-14T21:37:02.6714577Z Receiving objects: 2% (681/34007) 2025-08-14T21:37:02.6816194Z Receiving objects: 3% (1021/34007) 2025-08-14T21:37:02.6899619Z Receiving objects: 4% (1361/34007) 2025-08-14T21:37:02.6924798Z Receiving objects: 5% (1701/34007) 2025-08-14T21:37:02.6926630Z Receiving objects: 6% (2041/34007) 2025-08-14T21:37:02.6973286Z Receiving objects: 7% (2381/34007) 2025-08-14T21:37:02.7044531Z Receiving objects: 8% (2721/34007) 2025-08-14T21:37:02.7091216Z Receiving objects: 9% (3061/34007) 2025-08-14T21:37:02.7125858Z Receiving objects: 10% (3401/34007) 2025-08-14T21:37:02.7142505Z Receiving objects: 11% (3741/34007) 2025-08-14T21:37:02.7173387Z Receiving objects: 12% (4081/34007) 2025-08-14T21:37:02.7260540Z Receiving objects: 13% (4421/34007) 2025-08-14T21:37:02.7344812Z Receiving objects: 14% (4761/34007) 2025-08-14T21:37:02.7553600Z Receiving objects: 15% (5102/34007) 2025-08-14T21:37:02.7643708Z Receiving objects: 16% (5442/34007) 2025-08-14T21:37:02.7745430Z Receiving objects: 17% (5782/34007) 2025-08-14T21:37:02.9408368Z Receiving objects: 18% (6122/34007) 2025-08-14T21:37:02.9445615Z Receiving objects: 19% (6462/34007) 2025-08-14T21:37:02.9484988Z Receiving objects: 20% (6802/34007) 2025-08-14T21:37:02.9514288Z Receiving objects: 21% (7142/34007) 2025-08-14T21:37:02.9581121Z Receiving objects: 22% (7482/34007) 2025-08-14T21:37:02.9675075Z Receiving objects: 23% (7822/34007) 2025-08-14T21:37:02.9852667Z Receiving objects: 24% (8162/34007) 2025-08-14T21:37:02.9913023Z Receiving objects: 25% (8502/34007) 2025-08-14T21:37:02.9946948Z Receiving objects: 26% (8842/34007) 2025-08-14T21:37:03.0001445Z Receiving objects: 27% (9182/34007) 2025-08-14T21:37:03.0040174Z Receiving objects: 28% (9522/34007) 2025-08-14T21:37:03.0079914Z Receiving objects: 29% (9863/34007) 2025-08-14T21:37:03.0106424Z Receiving objects: 30% (10203/34007) 2025-08-14T21:37:03.0125879Z Receiving objects: 31% (10543/34007) 2025-08-14T21:37:03.0143107Z Receiving objects: 32% (10883/34007) 2025-08-14T21:37:03.0166834Z Receiving objects: 33% (11223/34007) 2025-08-14T21:37:03.0208138Z Receiving objects: 34% (11563/34007) 2025-08-14T21:37:03.0254954Z Receiving objects: 35% (11903/34007) 2025-08-14T21:37:03.0287892Z Receiving objects: 36% (12243/34007) 2025-08-14T21:37:03.0364394Z Receiving objects: 37% (12583/34007) 2025-08-14T21:37:03.0405677Z Receiving objects: 38% (12923/34007) 2025-08-14T21:37:03.0460661Z Receiving objects: 39% (13263/34007) 2025-08-14T21:37:03.0503642Z Receiving objects: 40% (13603/34007) 2025-08-14T21:37:03.0561190Z Receiving objects: 41% (13943/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.0609791Z Receiving objects: 42% (14283/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.0662037Z Receiving objects: 43% (14624/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.0687708Z Receiving objects: 44% (14964/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.0709193Z Receiving objects: 45% (15304/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.0749012Z Receiving objects: 46% (15644/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.0781482Z Receiving objects: 47% (15984/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.0892365Z Receiving objects: 48% (16324/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.0922145Z Receiving objects: 49% (16664/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.0948033Z Receiving objects: 50% (17004/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.0972094Z Receiving objects: 51% (17344/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.0985078Z Receiving objects: 52% (17684/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.1002900Z Receiving objects: 53% (18024/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.1023798Z Receiving objects: 54% (18364/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.1036955Z Receiving objects: 55% (18704/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.1051954Z Receiving objects: 56% (19044/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.1067933Z Receiving objects: 57% (19384/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.1085475Z Receiving objects: 58% (19725/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.1104908Z Receiving objects: 59% (20065/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.1130547Z Receiving objects: 60% (20405/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.1155761Z Receiving objects: 61% (20745/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.1185693Z Receiving objects: 62% (21085/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.1215089Z Receiving objects: 63% (21425/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.1250970Z Receiving objects: 64% (21765/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.1289959Z Receiving objects: 65% (22105/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.1311421Z Receiving objects: 66% (22445/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.1335658Z Receiving objects: 67% (22785/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.1356417Z Receiving objects: 68% (23125/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.1377266Z Receiving objects: 69% (23465/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.1395635Z Receiving objects: 70% (23805/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.1408830Z Receiving objects: 71% (24145/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.1431668Z Receiving objects: 72% (24486/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.1448583Z Receiving objects: 73% (24826/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.1460998Z Receiving objects: 74% (25166/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.1477399Z Receiving objects: 75% (25506/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.1493318Z Receiving objects: 76% (25846/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.1509192Z Receiving objects: 77% (26186/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.1528952Z Receiving objects: 78% (26526/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.1543172Z Receiving objects: 79% (26866/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.1579559Z Receiving objects: 80% (27206/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.1595421Z Receiving objects: 81% (27546/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.1602094Z Receiving objects: 82% (27886/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.1614890Z Receiving objects: 83% (28226/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.1627974Z Receiving objects: 84% (28566/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.1675871Z Receiving objects: 85% (28906/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.1768454Z Receiving objects: 86% (29247/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.1810619Z Receiving objects: 87% (29587/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.1840981Z Receiving objects: 88% (29927/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.1876552Z Receiving objects: 89% (30267/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.1898327Z Receiving objects: 90% (30607/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.1919880Z Receiving objects: 91% (30947/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.2011746Z Receiving objects: 92% (31287/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.2047426Z Receiving objects: 93% (31627/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.2060865Z Receiving objects: 94% (31967/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.2081952Z Receiving objects: 95% (32307/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.2106754Z Receiving objects: 96% (32647/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.2147456Z Receiving objects: 97% (32987/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.2249803Z Receiving objects: 98% (33327/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.2357652Z Receiving objects: 99% (33667/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.2363557Z remote: Total 34007 (delta 0), reused 0 (delta 0), pack-reused 34007 (from 1) 2025-08-14T21:37:03.2367920Z Receiving objects: 100% (34007/34007), 36.25 MiB | 72.48 MiB/s 2025-08-14T21:37:03.2368181Z Receiving objects: 100% (34007/34007), 51.25 MiB | 74.24 MiB/s, done. 2025-08-14T21:37:03.2398283Z Resolving deltas: 0% (0/25835) 2025-08-14T21:37:03.2409825Z Resolving deltas: 1% (260/25835) 2025-08-14T21:37:03.2419247Z Resolving deltas: 2% (517/25835) 2025-08-14T21:37:03.2426911Z Resolving deltas: 3% (777/25835) 2025-08-14T21:37:03.2435479Z Resolving deltas: 4% (1034/25835) 2025-08-14T21:37:03.2454036Z Resolving deltas: 5% (1292/25835) 2025-08-14T21:37:03.2461712Z Resolving deltas: 6% (1551/25835) 2025-08-14T21:37:03.2468702Z Resolving deltas: 7% (1809/25835) 2025-08-14T21:37:03.2476255Z Resolving deltas: 8% (2067/25835) 2025-08-14T21:37:03.2484957Z Resolving deltas: 9% (2326/25835) 2025-08-14T21:37:03.2492062Z Resolving deltas: 10% (2585/25835) 2025-08-14T21:37:03.2499671Z Resolving deltas: 11% (2842/25835) 2025-08-14T21:37:03.2513472Z Resolving deltas: 12% (3101/25835) 2025-08-14T21:37:03.2522381Z Resolving deltas: 13% (3359/25835) 2025-08-14T21:37:03.2528930Z Resolving deltas: 14% (3617/25835) 2025-08-14T21:37:03.2538417Z Resolving deltas: 15% (3876/25835) 2025-08-14T21:37:03.2545312Z Resolving deltas: 16% (4135/25835) 2025-08-14T21:37:03.2553425Z Resolving deltas: 17% (4392/25835) 2025-08-14T21:37:03.2561231Z Resolving deltas: 18% (4651/25835) 2025-08-14T21:37:03.2568397Z Resolving deltas: 19% (4910/25835) 2025-08-14T21:37:03.2578019Z Resolving deltas: 20% (5167/25835) 2025-08-14T21:37:03.2585395Z Resolving deltas: 21% (5427/25835) 2025-08-14T21:37:03.2592484Z Resolving deltas: 22% (5685/25835) 2025-08-14T21:37:03.2601125Z Resolving deltas: 23% (5943/25835) 2025-08-14T21:37:03.2613309Z Resolving deltas: 24% (6204/25835) 2025-08-14T21:37:03.2622849Z Resolving deltas: 25% (6460/25835) 2025-08-14T21:37:03.2631457Z Resolving deltas: 26% (6718/25835) 2025-08-14T21:37:03.2639388Z Resolving deltas: 27% (6976/25835) 2025-08-14T21:37:03.2647579Z Resolving deltas: 28% (7234/25835) 2025-08-14T21:37:03.2654593Z Resolving deltas: 29% (7493/25835) 2025-08-14T21:37:03.2661600Z Resolving deltas: 30% (7751/25835) 2025-08-14T21:37:03.2670364Z Resolving deltas: 31% (8010/25835) 2025-08-14T21:37:03.2680481Z Resolving deltas: 32% (8268/25835) 2025-08-14T21:37:03.2688582Z Resolving deltas: 33% (8526/25835) 2025-08-14T21:37:03.2697725Z Resolving deltas: 34% (8784/25835) 2025-08-14T21:37:03.2705860Z Resolving deltas: 35% (9043/25835) 2025-08-14T21:37:03.2714788Z Resolving deltas: 36% (9301/25835) 2025-08-14T21:37:03.2722604Z Resolving deltas: 37% (9559/25835) 2025-08-14T21:37:03.2730455Z Resolving deltas: 38% (9820/25835) 2025-08-14T21:37:03.2738449Z Resolving deltas: 39% (10076/25835) 2025-08-14T21:37:03.2745924Z Resolving deltas: 40% (10334/25835) 2025-08-14T21:37:03.2753765Z Resolving deltas: 41% (10593/25835) 2025-08-14T21:37:03.2761609Z Resolving deltas: 42% (10852/25835) 2025-08-14T21:37:03.2768815Z Resolving deltas: 43% (11112/25835) 2025-08-14T21:37:03.2777740Z Resolving deltas: 44% (11369/25835) 2025-08-14T21:37:03.2784950Z Resolving deltas: 45% (11626/25835) 2025-08-14T21:37:03.2793216Z Resolving deltas: 46% (11885/25835) 2025-08-14T21:37:03.2800562Z Resolving deltas: 47% (12145/25835) 2025-08-14T21:37:03.2809836Z Resolving deltas: 48% (12402/25835) 2025-08-14T21:37:03.2819747Z Resolving deltas: 49% (12660/25835) 2025-08-14T21:37:03.2828586Z Resolving deltas: 50% (12919/25835) 2025-08-14T21:37:03.2838897Z Resolving deltas: 51% (13176/25835) 2025-08-14T21:37:03.2859313Z Resolving deltas: 52% (13435/25835) 2025-08-14T21:37:03.2870594Z Resolving deltas: 53% (13693/25835) 2025-08-14T21:37:03.2876310Z Resolving deltas: 54% (13952/25835) 2025-08-14T21:37:03.2883163Z Resolving deltas: 55% (14210/25835) 2025-08-14T21:37:03.2891098Z Resolving deltas: 56% (14468/25835) 2025-08-14T21:37:03.2898961Z Resolving deltas: 57% (14728/25835) 2025-08-14T21:37:03.2906617Z Resolving deltas: 58% (14985/25835) 2025-08-14T21:37:03.2914611Z Resolving deltas: 59% (15243/25835) 2025-08-14T21:37:03.2924202Z Resolving deltas: 60% (15501/25835) 2025-08-14T21:37:03.2932150Z Resolving deltas: 61% (15762/25835) 2025-08-14T21:37:03.2939601Z Resolving deltas: 62% (16018/25835) 2025-08-14T21:37:03.2947696Z Resolving deltas: 63% (16277/25835) 2025-08-14T21:37:03.2958655Z Resolving deltas: 64% (16537/25835) 2025-08-14T21:37:03.2972526Z Resolving deltas: 65% (16793/25835) 2025-08-14T21:37:03.2984829Z Resolving deltas: 66% (17052/25835) 2025-08-14T21:37:03.3003416Z Resolving deltas: 67% (17311/25835) 2025-08-14T21:37:03.3010080Z Resolving deltas: 68% (17568/25835) 2025-08-14T21:37:03.3019700Z Resolving deltas: 69% (17827/25835) 2025-08-14T21:37:03.3030959Z Resolving deltas: 70% (18086/25835) 2025-08-14T21:37:03.3043985Z Resolving deltas: 71% (18343/25835) 2025-08-14T21:37:03.3052252Z Resolving deltas: 72% (18602/25835) 2025-08-14T21:37:03.3062198Z Resolving deltas: 73% (18861/25835) 2025-08-14T21:37:03.3072991Z Resolving deltas: 74% (19118/25835) 2025-08-14T21:37:03.3081283Z Resolving deltas: 75% (19378/25835) 2025-08-14T21:37:03.3095892Z Resolving deltas: 76% (19635/25835) 2025-08-14T21:37:03.3104435Z Resolving deltas: 77% (19893/25835) 2025-08-14T21:37:03.3113127Z Resolving deltas: 78% (20152/25835) 2025-08-14T21:37:03.3127778Z Resolving deltas: 79% (20410/25835) 2025-08-14T21:37:03.3144144Z Resolving deltas: 80% (20668/25835) 2025-08-14T21:37:03.3156194Z Resolving deltas: 81% (20927/25835) 2025-08-14T21:37:03.3167941Z Resolving deltas: 82% (21185/25835) 2025-08-14T21:37:03.3180617Z Resolving deltas: 83% (21444/25835) 2025-08-14T21:37:03.3190960Z Resolving deltas: 84% (21702/25835) 2025-08-14T21:37:03.3203625Z Resolving deltas: 85% (21961/25835) 2025-08-14T21:37:03.3213929Z Resolving deltas: 86% (22219/25835) 2025-08-14T21:37:03.3221423Z Resolving deltas: 87% (22477/25835) 2025-08-14T21:37:03.3233303Z Resolving deltas: 88% (22735/25835) 2025-08-14T21:37:03.3246448Z Resolving deltas: 89% (22994/25835) 2025-08-14T21:37:03.3263970Z Resolving deltas: 90% (23252/25835) 2025-08-14T21:37:03.3275757Z Resolving deltas: 91% (23510/25835) 2025-08-14T21:37:03.3285026Z Resolving deltas: 92% (23771/25835) 2025-08-14T21:37:03.3292020Z Resolving deltas: 93% (24027/25835) 2025-08-14T21:37:03.3299851Z Resolving deltas: 94% (24285/25835) 2025-08-14T21:37:03.3306665Z Resolving deltas: 95% (24546/25835) 2025-08-14T21:37:03.3316120Z Resolving deltas: 96% (24802/25835) 2025-08-14T21:37:03.3323630Z Resolving deltas: 97% (25060/25835) 2025-08-14T21:37:03.3335231Z Resolving deltas: 98% (25319/25835) 2025-08-14T21:37:03.3346500Z Resolving deltas: 99% (25577/25835) 2025-08-14T21:37:03.3351171Z Resolving deltas: 100% (25835/25835) 2025-08-14T21:37:03.3351543Z Resolving deltas: 100% (25835/25835), done. 2025-08-14T21:37:03.3762600Z Cloning into '/var/lib/jenkins/pytorch/fbgemm/external/googletest'... 2025-08-14T21:37:03.5886386Z remote: Enumerating objects: 28228, done. 2025-08-14T21:37:03.5886623Z remote: Counting objects: 1% (1/67) 2025-08-14T21:37:03.5886838Z remote: Counting objects: 2% (2/67) 2025-08-14T21:37:03.5887032Z remote: Counting objects: 4% (3/67) 2025-08-14T21:37:03.5887268Z remote: Counting objects: 5% (4/67) 2025-08-14T21:37:03.5891227Z remote: Counting objects: 7% (5/67) 2025-08-14T21:37:03.5891464Z remote: Counting objects: 8% (6/67) 2025-08-14T21:37:03.5891664Z remote: Counting objects: 10% (7/67) 2025-08-14T21:37:03.5891864Z remote: Counting objects: 11% (8/67) 2025-08-14T21:37:03.5892058Z remote: Counting objects: 13% (9/67) 2025-08-14T21:37:03.5892254Z remote: Counting objects: 14% (10/67) 2025-08-14T21:37:03.5892450Z remote: Counting objects: 16% (11/67) 2025-08-14T21:37:03.5892647Z remote: Counting objects: 17% (12/67) 2025-08-14T21:37:03.5893034Z remote: Counting objects: 19% (13/67) 2025-08-14T21:37:03.5893223Z remote: Counting objects: 20% (14/67) 2025-08-14T21:37:03.5893417Z remote: Counting objects: 22% (15/67) 2025-08-14T21:37:03.5893616Z remote: Counting objects: 23% (16/67) 2025-08-14T21:37:03.5893805Z remote: Counting objects: 25% (17/67) 2025-08-14T21:37:03.5894013Z remote: Counting objects: 26% (18/67) 2025-08-14T21:37:03.5894210Z remote: Counting objects: 28% (19/67) 2025-08-14T21:37:03.5894407Z remote: Counting objects: 29% (20/67) 2025-08-14T21:37:03.5896568Z remote: Counting objects: 31% (21/67) 2025-08-14T21:37:03.5896759Z remote: Counting objects: 32% (22/67) 2025-08-14T21:37:03.5897146Z remote: Counting objects: 34% (23/67) 2025-08-14T21:37:03.5897331Z remote: Counting objects: 35% (24/67) 2025-08-14T21:37:03.5897520Z remote: Counting objects: 37% (25/67) 2025-08-14T21:37:03.5897715Z remote: Counting objects: 38% (26/67) 2025-08-14T21:37:03.5897897Z remote: Counting objects: 40% (27/67) 2025-08-14T21:37:03.5898085Z remote: Counting objects: 41% (28/67) 2025-08-14T21:37:03.5898278Z remote: Counting objects: 43% (29/67) 2025-08-14T21:37:03.5898464Z remote: Counting objects: 44% (30/67) 2025-08-14T21:37:03.5898650Z remote: Counting objects: 46% (31/67) 2025-08-14T21:37:03.5900239Z remote: Counting objects: 47% (32/67) 2025-08-14T21:37:03.5900386Z remote: Counting objects: 49% (33/67) 2025-08-14T21:37:03.5900533Z remote: Counting objects: 50% (34/67) 2025-08-14T21:37:03.5900682Z remote: Counting objects: 52% (35/67) 2025-08-14T21:37:03.5900828Z remote: Counting objects: 53% (36/67) 2025-08-14T21:37:03.5900972Z remote: Counting objects: 55% (37/67) 2025-08-14T21:37:03.5901119Z remote: Counting objects: 56% (38/67) 2025-08-14T21:37:03.5901266Z remote: Counting objects: 58% (39/67) 2025-08-14T21:37:03.5901412Z remote: Counting objects: 59% (40/67) 2025-08-14T21:37:03.5901558Z remote: Counting objects: 61% (41/67) 2025-08-14T21:37:03.5901699Z remote: Counting objects: 62% (42/67) 2025-08-14T21:37:03.5903037Z remote: Counting objects: 64% (43/67) 2025-08-14T21:37:03.5903179Z remote: Counting objects: 65% (44/67) 2025-08-14T21:37:03.5903323Z remote: Counting objects: 67% (45/67) 2025-08-14T21:37:03.5903468Z remote: Counting objects: 68% (46/67) 2025-08-14T21:37:03.5903614Z remote: Counting objects: 70% (47/67) 2025-08-14T21:37:03.5903834Z remote: Counting objects: 71% (48/67) 2025-08-14T21:37:03.5903980Z remote: Counting objects: 73% (49/67) 2025-08-14T21:37:03.5904129Z remote: Counting objects: 74% (50/67) 2025-08-14T21:37:03.5904275Z remote: Counting objects: 76% (51/67) 2025-08-14T21:37:03.5904420Z remote: Counting objects: 77% (52/67) 2025-08-14T21:37:03.5904559Z remote: Counting objects: 79% (53/67) 2025-08-14T21:37:03.5905747Z remote: Counting objects: 80% (54/67) 2025-08-14T21:37:03.5905889Z remote: Counting objects: 82% (55/67) 2025-08-14T21:37:03.5906036Z remote: Counting objects: 83% (56/67) 2025-08-14T21:37:03.5906182Z remote: Counting objects: 85% (57/67) 2025-08-14T21:37:03.5906328Z remote: Counting objects: 86% (58/67) 2025-08-14T21:37:03.5906474Z remote: Counting objects: 88% (59/67) 2025-08-14T21:37:03.5906616Z remote: Counting objects: 89% (60/67) 2025-08-14T21:37:03.5906759Z remote: Counting objects: 91% (61/67) 2025-08-14T21:37:03.5906910Z remote: Counting objects: 92% (62/67) 2025-08-14T21:37:03.5907060Z remote: Counting objects: 94% (63/67) 2025-08-14T21:37:03.5907206Z remote: Counting objects: 95% (64/67) 2025-08-14T21:37:03.5908360Z remote: Counting objects: 97% (65/67) 2025-08-14T21:37:03.5908504Z remote: Counting objects: 98% (66/67) 2025-08-14T21:37:03.5908650Z remote: Counting objects: 100% (67/67) 2025-08-14T21:37:03.5908808Z remote: Counting objects: 100% (67/67), done. 2025-08-14T21:37:03.5908985Z remote: Compressing objects: 2% (1/46) 2025-08-14T21:37:03.5911730Z remote: Compressing objects: 4% (2/46) 2025-08-14T21:37:03.5953154Z remote: Compressing objects: 6% (3/46) 2025-08-14T21:37:03.5967679Z remote: Compressing objects: 8% (4/46) 2025-08-14T21:37:03.6042262Z remote: Compressing objects: 10% (5/46) 2025-08-14T21:37:03.6049254Z remote: Compressing objects: 13% (6/46) 2025-08-14T21:37:03.6110812Z remote: Compressing objects: 15% (7/46) 2025-08-14T21:37:03.6154283Z remote: Compressing objects: 17% (8/46) 2025-08-14T21:37:03.6190044Z remote: Compressing objects: 19% (9/46) 2025-08-14T21:37:03.6216249Z remote: Compressing objects: 21% (10/46) 2025-08-14T21:37:03.6238194Z remote: Compressing objects: 23% (11/46) 2025-08-14T21:37:03.6242345Z remote: Compressing objects: 26% (12/46) 2025-08-14T21:37:03.6242558Z remote: Compressing objects: 28% (13/46) 2025-08-14T21:37:03.6242868Z remote: Compressing objects: 30% (14/46) 2025-08-14T21:37:03.6243063Z remote: Compressing objects: 32% (15/46) 2025-08-14T21:37:03.6244034Z remote: Compressing objects: 34% (16/46) 2025-08-14T21:37:03.6244294Z remote: Compressing objects: 36% (17/46) 2025-08-14T21:37:03.6247150Z remote: Compressing objects: 39% (18/46) 2025-08-14T21:37:03.6247349Z remote: Compressing objects: 41% (19/46) 2025-08-14T21:37:03.6247564Z remote: Compressing objects: 43% (20/46) 2025-08-14T21:37:03.6247757Z remote: Compressing objects: 45% (21/46) 2025-08-14T21:37:03.6247944Z remote: Compressing objects: 47% (22/46) 2025-08-14T21:37:03.6248137Z remote: Compressing objects: 50% (23/46) 2025-08-14T21:37:03.6248325Z remote: Compressing objects: 52% (24/46) 2025-08-14T21:37:03.6248504Z remote: Compressing objects: 54% (25/46) 2025-08-14T21:37:03.6248696Z remote: Compressing objects: 56% (26/46) 2025-08-14T21:37:03.6248882Z remote: Compressing objects: 58% (27/46) 2025-08-14T21:37:03.6250757Z remote: Compressing objects: 60% (28/46) 2025-08-14T21:37:03.6250947Z remote: Compressing objects: 63% (29/46) 2025-08-14T21:37:03.6252578Z remote: Compressing objects: 65% (30/46) 2025-08-14T21:37:03.6253281Z remote: Compressing objects: 67% (31/46) 2025-08-14T21:37:03.6253669Z remote: Compressing objects: 69% (32/46) 2025-08-14T21:37:03.6254587Z remote: Compressing objects: 71% (33/46) 2025-08-14T21:37:03.6254996Z remote: Compressing objects: 73% (34/46) 2025-08-14T21:37:03.6255377Z remote: Compressing objects: 76% (35/46) 2025-08-14T21:37:03.6255751Z remote: Compressing objects: 78% (36/46) 2025-08-14T21:37:03.6256122Z remote: Compressing objects: 80% (37/46) 2025-08-14T21:37:03.6263887Z remote: Compressing objects: 82% (38/46) 2025-08-14T21:37:03.6264158Z remote: Compressing objects: 84% (39/46) 2025-08-14T21:37:03.6264406Z remote: Compressing objects: 86% (40/46) 2025-08-14T21:37:03.6264633Z remote: Compressing objects: 89% (41/46) 2025-08-14T21:37:03.6264858Z remote: Compressing objects: 91% (42/46) 2025-08-14T21:37:03.6265079Z remote: Compressing objects: 93% (43/46) 2025-08-14T21:37:03.6265301Z remote: Compressing objects: 95% (44/46) 2025-08-14T21:37:03.6265525Z remote: Compressing objects: 97% (45/46) 2025-08-14T21:37:03.6265758Z remote: Compressing objects: 100% (46/46) 2025-08-14T21:37:03.6266012Z remote: Compressing objects: 100% (46/46), done. 2025-08-14T21:37:03.6594539Z Receiving objects: 0% (1/28228) 2025-08-14T21:37:03.6708478Z Receiving objects: 1% (283/28228) 2025-08-14T21:37:03.6903402Z Receiving objects: 2% (565/28228) 2025-08-14T21:37:03.6925377Z Receiving objects: 3% (847/28228) 2025-08-14T21:37:03.6938726Z Receiving objects: 4% (1130/28228) 2025-08-14T21:37:03.6950102Z Receiving objects: 5% (1412/28228) 2025-08-14T21:37:03.7127932Z Receiving objects: 6% (1694/28228) 2025-08-14T21:37:03.7142459Z Receiving objects: 7% (1976/28228) 2025-08-14T21:37:03.7159034Z Receiving objects: 8% (2259/28228) 2025-08-14T21:37:03.7172295Z Receiving objects: 9% (2541/28228) 2025-08-14T21:37:03.7186854Z Receiving objects: 10% (2823/28228) 2025-08-14T21:37:03.7264656Z Receiving objects: 11% (3106/28228) 2025-08-14T21:37:03.7341073Z Receiving objects: 12% (3388/28228) 2025-08-14T21:37:03.7351837Z Receiving objects: 13% (3670/28228) 2025-08-14T21:37:03.7362797Z Receiving objects: 14% (3952/28228) 2025-08-14T21:37:03.7375653Z Receiving objects: 15% (4235/28228) 2025-08-14T21:37:03.7452268Z Receiving objects: 16% (4517/28228) 2025-08-14T21:37:03.7530886Z Receiving objects: 17% (4799/28228) 2025-08-14T21:37:03.7619450Z Receiving objects: 18% (5082/28228) 2025-08-14T21:37:03.7688965Z Receiving objects: 19% (5364/28228) 2025-08-14T21:37:03.7756518Z Receiving objects: 20% (5646/28228) 2025-08-14T21:37:03.7769053Z Receiving objects: 21% (5928/28228) 2025-08-14T21:37:03.7797993Z Receiving objects: 22% (6211/28228) 2025-08-14T21:37:03.7818705Z Receiving objects: 23% (6493/28228) 2025-08-14T21:37:03.7848503Z Receiving objects: 24% (6775/28228) 2025-08-14T21:37:03.7881932Z Receiving objects: 25% (7057/28228) 2025-08-14T21:37:03.7934905Z Receiving objects: 26% (7340/28228) 2025-08-14T21:37:03.7979492Z Receiving objects: 27% (7622/28228) 2025-08-14T21:37:03.8026802Z Receiving objects: 28% (7904/28228) 2025-08-14T21:37:03.8051071Z Receiving objects: 29% (8187/28228) 2025-08-14T21:37:03.8067894Z Receiving objects: 30% (8469/28228) 2025-08-14T21:37:03.8096287Z Receiving objects: 31% (8751/28228) 2025-08-14T21:37:03.8128772Z Receiving objects: 32% (9033/28228) 2025-08-14T21:37:03.8169788Z Receiving objects: 33% (9316/28228) 2025-08-14T21:37:03.8190985Z Receiving objects: 34% (9598/28228) 2025-08-14T21:37:03.8203992Z Receiving objects: 35% (9880/28228) 2025-08-14T21:37:03.8229963Z Receiving objects: 36% (10163/28228) 2025-08-14T21:37:03.8245366Z Receiving objects: 37% (10445/28228) 2025-08-14T21:37:03.8270955Z Receiving objects: 38% (10727/28228) 2025-08-14T21:37:03.8306600Z Receiving objects: 39% (11009/28228) 2025-08-14T21:37:03.8325355Z Receiving objects: 40% (11292/28228) 2025-08-14T21:37:03.8341328Z Receiving objects: 41% (11574/28228) 2025-08-14T21:37:03.8349901Z Receiving objects: 42% (11856/28228) 2025-08-14T21:37:03.8362844Z Receiving objects: 43% (12139/28228) 2025-08-14T21:37:03.8363167Z Receiving objects: 44% (12421/28228) 2025-08-14T21:37:03.8370771Z Receiving objects: 45% (12703/28228) 2025-08-14T21:37:03.8381191Z Receiving objects: 46% (12985/28228) 2025-08-14T21:37:03.8404231Z Receiving objects: 47% (13268/28228) 2025-08-14T21:37:03.8429768Z Receiving objects: 48% (13550/28228) 2025-08-14T21:37:03.8444088Z Receiving objects: 49% (13832/28228) 2025-08-14T21:37:03.8556068Z Receiving objects: 50% (14114/28228) 2025-08-14T21:37:03.8579102Z Receiving objects: 51% (14397/28228) 2025-08-14T21:37:03.8592278Z Receiving objects: 52% (14679/28228) 2025-08-14T21:37:03.8599675Z Receiving objects: 53% (14961/28228) 2025-08-14T21:37:03.8623693Z Receiving objects: 54% (15244/28228) 2025-08-14T21:37:03.8627265Z Receiving objects: 55% (15526/28228) 2025-08-14T21:37:03.8637791Z Receiving objects: 56% (15808/28228) 2025-08-14T21:37:03.8640573Z Receiving objects: 57% (16090/28228) 2025-08-14T21:37:03.8647015Z Receiving objects: 58% (16373/28228) 2025-08-14T21:37:03.8653528Z Receiving objects: 59% (16655/28228) 2025-08-14T21:37:03.8656095Z Receiving objects: 60% (16937/28228) 2025-08-14T21:37:03.8659792Z Receiving objects: 61% (17220/28228) 2025-08-14T21:37:03.8662902Z Receiving objects: 62% (17502/28228) 2025-08-14T21:37:03.8666964Z Receiving objects: 63% (17784/28228) 2025-08-14T21:37:03.8669845Z Receiving objects: 64% (18066/28228) 2025-08-14T21:37:03.8672197Z Receiving objects: 65% (18349/28228) 2025-08-14T21:37:03.8675096Z Receiving objects: 66% (18631/28228) 2025-08-14T21:37:03.8678360Z Receiving objects: 67% (18913/28228) 2025-08-14T21:37:03.8684524Z Receiving objects: 68% (19196/28228) 2025-08-14T21:37:03.8688696Z Receiving objects: 69% (19478/28228) 2025-08-14T21:37:03.8691794Z Receiving objects: 70% (19760/28228) 2025-08-14T21:37:03.8695599Z Receiving objects: 71% (20042/28228) 2025-08-14T21:37:03.8697206Z Receiving objects: 72% (20325/28228) 2025-08-14T21:37:03.8701029Z Receiving objects: 73% (20607/28228) 2025-08-14T21:37:03.8703962Z Receiving objects: 74% (20889/28228) 2025-08-14T21:37:03.8710945Z Receiving objects: 75% (21171/28228) 2025-08-14T21:37:03.8716922Z Receiving objects: 76% (21454/28228) 2025-08-14T21:37:03.8719800Z Receiving objects: 77% (21736/28228) 2025-08-14T21:37:03.8721619Z Receiving objects: 78% (22018/28228) 2025-08-14T21:37:03.8724732Z Receiving objects: 79% (22301/28228) 2025-08-14T21:37:03.8727161Z Receiving objects: 80% (22583/28228) 2025-08-14T21:37:03.8732362Z Receiving objects: 81% (22865/28228) 2025-08-14T21:37:03.8739582Z Receiving objects: 82% (23147/28228) 2025-08-14T21:37:03.8747688Z Receiving objects: 83% (23430/28228) 2025-08-14T21:37:03.8753096Z Receiving objects: 84% (23712/28228) 2025-08-14T21:37:03.8756469Z Receiving objects: 85% (23994/28228) 2025-08-14T21:37:03.8760439Z Receiving objects: 86% (24277/28228) 2025-08-14T21:37:03.8765169Z Receiving objects: 87% (24559/28228) 2025-08-14T21:37:03.8769582Z Receiving objects: 88% (24841/28228) 2025-08-14T21:37:03.8772909Z Receiving objects: 89% (25123/28228) 2025-08-14T21:37:03.8775415Z Receiving objects: 90% (25406/28228) 2025-08-14T21:37:03.8781616Z Receiving objects: 91% (25688/28228) 2025-08-14T21:37:03.8784420Z Receiving objects: 92% (25970/28228) 2025-08-14T21:37:03.8785710Z Receiving objects: 93% (26253/28228) 2025-08-14T21:37:03.8787725Z Receiving objects: 94% (26535/28228) 2025-08-14T21:37:03.8790812Z Receiving objects: 95% (26817/28228) 2025-08-14T21:37:03.8794658Z Receiving objects: 96% (27099/28228) 2025-08-14T21:37:03.8796226Z Receiving objects: 97% (27382/28228) 2025-08-14T21:37:03.8797902Z Receiving objects: 98% (27664/28228) 2025-08-14T21:37:03.8837597Z Receiving objects: 99% (27946/28228) 2025-08-14T21:37:03.8838061Z remote: Total 28228 (delta 33), reused 22 (delta 20), pack-reused 28161 (from 3) 2025-08-14T21:37:03.8849638Z Receiving objects: 100% (28228/28228) 2025-08-14T21:37:03.8850156Z Receiving objects: 100% (28228/28228), 13.31 MiB | 51.44 MiB/s, done. 2025-08-14T21:37:03.8901064Z Resolving deltas: 0% (0/20968) 2025-08-14T21:37:03.8915809Z Resolving deltas: 1% (210/20968) 2025-08-14T21:37:03.8922505Z Resolving deltas: 2% (420/20968) 2025-08-14T21:37:03.8929775Z Resolving deltas: 3% (630/20968) 2025-08-14T21:37:03.8940594Z Resolving deltas: 4% (839/20968) 2025-08-14T21:37:03.8949208Z Resolving deltas: 5% (1049/20968) 2025-08-14T21:37:03.8977469Z Resolving deltas: 6% (1259/20968) 2025-08-14T21:37:03.8985356Z Resolving deltas: 7% (1468/20968) 2025-08-14T21:37:03.8993928Z Resolving deltas: 8% (1678/20968) 2025-08-14T21:37:03.9018137Z Resolving deltas: 9% (1889/20968) 2025-08-14T21:37:03.9038412Z Resolving deltas: 10% (2097/20968) 2025-08-14T21:37:03.9053384Z Resolving deltas: 11% (2307/20968) 2025-08-14T21:37:03.9060524Z Resolving deltas: 12% (2517/20968) 2025-08-14T21:37:03.9066768Z Resolving deltas: 13% (2726/20968) 2025-08-14T21:37:03.9075998Z Resolving deltas: 14% (2936/20968) 2025-08-14T21:37:03.9084000Z Resolving deltas: 15% (3146/20968) 2025-08-14T21:37:03.9093833Z Resolving deltas: 16% (3355/20968) 2025-08-14T21:37:03.9101012Z Resolving deltas: 17% (3565/20968) 2025-08-14T21:37:03.9127637Z Resolving deltas: 18% (3775/20968) 2025-08-14T21:37:03.9135679Z Resolving deltas: 19% (3985/20968) 2025-08-14T21:37:03.9145064Z Resolving deltas: 20% (4194/20968) 2025-08-14T21:37:03.9154754Z Resolving deltas: 21% (4404/20968) 2025-08-14T21:37:03.9160950Z Resolving deltas: 22% (4613/20968) 2025-08-14T21:37:03.9167971Z Resolving deltas: 23% (4823/20968) 2025-08-14T21:37:03.9183120Z Resolving deltas: 24% (5033/20968) 2025-08-14T21:37:03.9191413Z Resolving deltas: 25% (5243/20968) 2025-08-14T21:37:03.9204520Z Resolving deltas: 26% (5453/20968) 2025-08-14T21:37:03.9212874Z Resolving deltas: 27% (5662/20968) 2025-08-14T21:37:03.9219630Z Resolving deltas: 28% (5874/20968) 2025-08-14T21:37:03.9225994Z Resolving deltas: 29% (6082/20968) 2025-08-14T21:37:03.9232905Z Resolving deltas: 30% (6292/20968) 2025-08-14T21:37:03.9241302Z Resolving deltas: 31% (6501/20968) 2025-08-14T21:37:03.9250098Z Resolving deltas: 32% (6711/20968) 2025-08-14T21:37:03.9257394Z Resolving deltas: 33% (6921/20968) 2025-08-14T21:37:03.9264063Z Resolving deltas: 34% (7132/20968) 2025-08-14T21:37:03.9274035Z Resolving deltas: 35% (7340/20968) 2025-08-14T21:37:03.9283498Z Resolving deltas: 36% (7549/20968) 2025-08-14T21:37:03.9293060Z Resolving deltas: 37% (7759/20968) 2025-08-14T21:37:03.9297962Z Resolving deltas: 38% (7968/20968) 2025-08-14T21:37:03.9304158Z Resolving deltas: 39% (8178/20968) 2025-08-14T21:37:03.9310555Z Resolving deltas: 40% (8388/20968) 2025-08-14T21:37:03.9340497Z Resolving deltas: 41% (8597/20968) 2025-08-14T21:37:03.9348734Z Resolving deltas: 42% (8807/20968) 2025-08-14T21:37:03.9357168Z Resolving deltas: 43% (9017/20968) 2025-08-14T21:37:03.9364022Z Resolving deltas: 44% (9227/20968) 2025-08-14T21:37:03.9396291Z Resolving deltas: 45% (9436/20968) 2025-08-14T21:37:03.9410692Z Resolving deltas: 46% (9646/20968) 2025-08-14T21:37:03.9421515Z Resolving deltas: 47% (9855/20968) 2025-08-14T21:37:03.9429660Z Resolving deltas: 48% (10067/20968) 2025-08-14T21:37:03.9438805Z Resolving deltas: 49% (10275/20968) 2025-08-14T21:37:03.9448488Z Resolving deltas: 50% (10484/20968) 2025-08-14T21:37:03.9457991Z Resolving deltas: 51% (10694/20968) 2025-08-14T21:37:03.9467437Z Resolving deltas: 52% (10904/20968) 2025-08-14T21:37:03.9477068Z Resolving deltas: 53% (11114/20968) 2025-08-14T21:37:03.9485900Z Resolving deltas: 54% (11323/20968) 2025-08-14T21:37:03.9494738Z Resolving deltas: 55% (11533/20968) 2025-08-14T21:37:03.9504044Z Resolving deltas: 56% (11743/20968) 2025-08-14T21:37:03.9514476Z Resolving deltas: 57% (11952/20968) 2025-08-14T21:37:03.9543996Z Resolving deltas: 58% (12162/20968) 2025-08-14T21:37:03.9559826Z Resolving deltas: 59% (12372/20968) 2025-08-14T21:37:03.9568048Z Resolving deltas: 60% (12581/20968) 2025-08-14T21:37:03.9577869Z Resolving deltas: 61% (12791/20968) 2025-08-14T21:37:03.9585818Z Resolving deltas: 62% (13001/20968) 2025-08-14T21:37:03.9593969Z Resolving deltas: 63% (13211/20968) 2025-08-14T21:37:03.9604390Z Resolving deltas: 64% (13420/20968) 2025-08-14T21:37:03.9613892Z Resolving deltas: 65% (13630/20968) 2025-08-14T21:37:03.9623412Z Resolving deltas: 66% (13840/20968) 2025-08-14T21:37:03.9633346Z Resolving deltas: 67% (14049/20968) 2025-08-14T21:37:03.9642894Z Resolving deltas: 68% (14259/20968) 2025-08-14T21:37:03.9652641Z Resolving deltas: 69% (14468/20968) 2025-08-14T21:37:03.9668194Z Resolving deltas: 70% (14678/20968) 2025-08-14T21:37:03.9679948Z Resolving deltas: 71% (14888/20968) 2025-08-14T21:37:03.9688818Z Resolving deltas: 72% (15097/20968) 2025-08-14T21:37:03.9697783Z Resolving deltas: 73% (15307/20968) 2025-08-14T21:37:03.9707681Z Resolving deltas: 74% (15517/20968) 2025-08-14T21:37:03.9718893Z Resolving deltas: 75% (15726/20968) 2025-08-14T21:37:03.9729284Z Resolving deltas: 76% (15936/20968) 2025-08-14T21:37:03.9739101Z Resolving deltas: 77% (16146/20968) 2025-08-14T21:37:03.9748408Z Resolving deltas: 78% (16356/20968) 2025-08-14T21:37:03.9757829Z Resolving deltas: 79% (16565/20968) 2025-08-14T21:37:03.9768070Z Resolving deltas: 80% (16775/20968) 2025-08-14T21:37:03.9781625Z Resolving deltas: 81% (16986/20968) 2025-08-14T21:37:03.9788864Z Resolving deltas: 82% (17194/20968) 2025-08-14T21:37:03.9799035Z Resolving deltas: 83% (17404/20968) 2025-08-14T21:37:03.9810262Z Resolving deltas: 84% (17616/20968) 2025-08-14T21:37:03.9820052Z Resolving deltas: 85% (17823/20968) 2025-08-14T21:37:03.9830285Z Resolving deltas: 86% (18033/20968) 2025-08-14T21:37:03.9841408Z Resolving deltas: 87% (18243/20968) 2025-08-14T21:37:03.9850535Z Resolving deltas: 88% (18452/20968) 2025-08-14T21:37:03.9860125Z Resolving deltas: 89% (18664/20968) 2025-08-14T21:37:03.9879513Z Resolving deltas: 90% (18872/20968) 2025-08-14T21:37:03.9893274Z Resolving deltas: 91% (19081/20968) 2025-08-14T21:37:03.9902235Z Resolving deltas: 92% (19291/20968) 2025-08-14T21:37:03.9911393Z Resolving deltas: 93% (19501/20968) 2025-08-14T21:37:03.9920552Z Resolving deltas: 94% (19710/20968) 2025-08-14T21:37:03.9930834Z Resolving deltas: 95% (19920/20968) 2025-08-14T21:37:03.9940631Z Resolving deltas: 96% (20130/20968) 2025-08-14T21:37:03.9950533Z Resolving deltas: 97% (20339/20968) 2025-08-14T21:37:03.9960385Z Resolving deltas: 98% (20549/20968) 2025-08-14T21:37:03.9991090Z Resolving deltas: 99% (20759/20968) 2025-08-14T21:37:03.9992662Z Resolving deltas: 100% (20968/20968) 2025-08-14T21:37:03.9992878Z Resolving deltas: 100% (20968/20968), done. 2025-08-14T21:37:04.0203261Z Cloning into '/var/lib/jenkins/pytorch/fbgemm/external/hipify_torch'... 2025-08-14T21:37:04.2687774Z remote: Enumerating objects: 534, done. 2025-08-14T21:37:04.2687991Z remote: Counting objects: 0% (1/235) 2025-08-14T21:37:04.2688136Z remote: Counting objects: 1% (3/235) 2025-08-14T21:37:04.2688275Z remote: Counting objects: 2% (5/235) 2025-08-14T21:37:04.2688416Z remote: Counting objects: 3% (8/235) 2025-08-14T21:37:04.2688554Z remote: Counting objects: 4% (10/235) 2025-08-14T21:37:04.2693979Z remote: Counting objects: 5% (12/235) 2025-08-14T21:37:04.2694140Z remote: Counting objects: 6% (15/235) 2025-08-14T21:37:04.2694283Z remote: Counting objects: 7% (17/235) 2025-08-14T21:37:04.2694413Z remote: Counting objects: 8% (19/235) 2025-08-14T21:37:04.2694549Z remote: Counting objects: 9% (22/235) 2025-08-14T21:37:04.2694688Z remote: Counting objects: 10% (24/235) 2025-08-14T21:37:04.2694816Z remote: Counting objects: 11% (26/235) 2025-08-14T21:37:04.2694942Z remote: Counting objects: 12% (29/235) 2025-08-14T21:37:04.2695067Z remote: Counting objects: 13% (31/235) 2025-08-14T21:37:04.2695195Z remote: Counting objects: 14% (33/235) 2025-08-14T21:37:04.2695336Z remote: Counting objects: 15% (36/235) 2025-08-14T21:37:04.2695474Z remote: Counting objects: 16% (38/235) 2025-08-14T21:37:04.2695612Z remote: Counting objects: 17% (40/235) 2025-08-14T21:37:04.2695922Z remote: Counting objects: 18% (43/235) 2025-08-14T21:37:04.2696063Z remote: Counting objects: 19% (45/235) 2025-08-14T21:37:04.2696199Z remote: Counting objects: 20% (47/235) 2025-08-14T21:37:04.2696335Z remote: Counting objects: 21% (50/235) 2025-08-14T21:37:04.2696471Z remote: Counting objects: 22% (52/235) 2025-08-14T21:37:04.2696605Z remote: Counting objects: 23% (55/235) 2025-08-14T21:37:04.2696741Z remote: Counting objects: 24% (57/235) 2025-08-14T21:37:04.2698445Z remote: Counting objects: 25% (59/235) 2025-08-14T21:37:04.2698588Z remote: Counting objects: 26% (62/235) 2025-08-14T21:37:04.2698715Z remote: Counting objects: 27% (64/235) 2025-08-14T21:37:04.2698845Z remote: Counting objects: 28% (66/235) 2025-08-14T21:37:04.2698971Z remote: Counting objects: 29% (69/235) 2025-08-14T21:37:04.2699097Z remote: Counting objects: 30% (71/235) 2025-08-14T21:37:04.2699232Z remote: Counting objects: 31% (73/235) 2025-08-14T21:37:04.2699357Z remote: Counting objects: 32% (76/235) 2025-08-14T21:37:04.2699487Z remote: Counting objects: 33% (78/235) 2025-08-14T21:37:04.2699612Z remote: Counting objects: 34% (80/235) 2025-08-14T21:37:04.2699740Z remote: Counting objects: 35% (83/235) 2025-08-14T21:37:04.2700906Z remote: Counting objects: 36% (85/235) 2025-08-14T21:37:04.2701039Z remote: Counting objects: 37% (87/235) 2025-08-14T21:37:04.2701165Z remote: Counting objects: 38% (90/235) 2025-08-14T21:37:04.2701291Z remote: Counting objects: 39% (92/235) 2025-08-14T21:37:04.2701418Z remote: Counting objects: 40% (94/235) 2025-08-14T21:37:04.2701543Z remote: Counting objects: 41% (97/235) 2025-08-14T21:37:04.2701669Z remote: Counting objects: 42% (99/235) 2025-08-14T21:37:04.2701799Z remote: Counting objects: 43% (102/235) 2025-08-14T21:37:04.2701933Z remote: Counting objects: 44% (104/235) 2025-08-14T21:37:04.2702080Z remote: Counting objects: 45% (106/235) 2025-08-14T21:37:04.2702310Z remote: Counting objects: 46% (109/235) 2025-08-14T21:37:04.2703530Z remote: Counting objects: 47% (111/235) 2025-08-14T21:37:04.2703666Z remote: Counting objects: 48% (113/235) 2025-08-14T21:37:04.2703793Z remote: Counting objects: 49% (116/235) 2025-08-14T21:37:04.2703920Z remote: Counting objects: 50% (118/235) 2025-08-14T21:37:04.2704048Z remote: Counting objects: 51% (120/235) 2025-08-14T21:37:04.2704175Z remote: Counting objects: 52% (123/235) 2025-08-14T21:37:04.2704301Z remote: Counting objects: 53% (125/235) 2025-08-14T21:37:04.2704427Z remote: Counting objects: 54% (127/235) 2025-08-14T21:37:04.2704555Z remote: Counting objects: 55% (130/235) 2025-08-14T21:37:04.2704681Z remote: Counting objects: 56% (132/235) 2025-08-14T21:37:04.2704807Z remote: Counting objects: 57% (134/235) 2025-08-14T21:37:04.2705888Z remote: Counting objects: 58% (137/235) 2025-08-14T21:37:04.2706022Z remote: Counting objects: 59% (139/235) 2025-08-14T21:37:04.2706149Z remote: Counting objects: 60% (141/235) 2025-08-14T21:37:04.2706276Z remote: Counting objects: 61% (144/235) 2025-08-14T21:37:04.2706403Z remote: Counting objects: 62% (146/235) 2025-08-14T21:37:04.2706532Z remote: Counting objects: 63% (149/235) 2025-08-14T21:37:04.2706657Z remote: Counting objects: 64% (151/235) 2025-08-14T21:37:04.2706783Z remote: Counting objects: 65% (153/235) 2025-08-14T21:37:04.2706909Z remote: Counting objects: 66% (156/235) 2025-08-14T21:37:04.2707036Z remote: Counting objects: 67% (158/235) 2025-08-14T21:37:04.2707163Z remote: Counting objects: 68% (160/235) 2025-08-14T21:37:04.2707289Z remote: Counting objects: 69% (163/235) 2025-08-14T21:37:04.2708309Z remote: Counting objects: 70% (165/235) 2025-08-14T21:37:04.2708498Z remote: Counting objects: 71% (167/235) 2025-08-14T21:37:04.2708629Z remote: Counting objects: 72% (170/235) 2025-08-14T21:37:04.2708756Z remote: Counting objects: 73% (172/235) 2025-08-14T21:37:04.2708881Z remote: Counting objects: 74% (174/235) 2025-08-14T21:37:04.2709007Z remote: Counting objects: 75% (177/235) 2025-08-14T21:37:04.2709134Z remote: Counting objects: 76% (179/235) 2025-08-14T21:37:04.2709258Z remote: Counting objects: 77% (181/235) 2025-08-14T21:37:04.2709384Z remote: Counting objects: 78% (184/235) 2025-08-14T21:37:04.2709514Z remote: Counting objects: 79% (186/235) 2025-08-14T21:37:04.2709640Z remote: Counting objects: 80% (188/235) 2025-08-14T21:37:04.2710633Z remote: Counting objects: 81% (191/235) 2025-08-14T21:37:04.2710764Z remote: Counting objects: 82% (193/235) 2025-08-14T21:37:04.2710894Z remote: Counting objects: 83% (196/235) 2025-08-14T21:37:04.2711026Z remote: Counting objects: 84% (198/235) 2025-08-14T21:37:04.2711154Z remote: Counting objects: 85% (200/235) 2025-08-14T21:37:04.2711280Z remote: Counting objects: 86% (203/235) 2025-08-14T21:37:04.2711408Z remote: Counting objects: 87% (205/235) 2025-08-14T21:37:04.2711534Z remote: Counting objects: 88% (207/235) 2025-08-14T21:37:04.2711660Z remote: Counting objects: 89% (210/235) 2025-08-14T21:37:04.2711786Z remote: Counting objects: 90% (212/235) 2025-08-14T21:37:04.2711914Z remote: Counting objects: 91% (214/235) 2025-08-14T21:37:04.2712984Z remote: Counting objects: 92% (217/235) 2025-08-14T21:37:04.2713117Z remote: Counting objects: 93% (219/235) 2025-08-14T21:37:04.2713245Z remote: Counting objects: 94% (221/235) 2025-08-14T21:37:04.2713372Z remote: Counting objects: 95% (224/235) 2025-08-14T21:37:04.2713498Z remote: Counting objects: 96% (226/235) 2025-08-14T21:37:04.2713630Z remote: Counting objects: 97% (228/235) 2025-08-14T21:37:04.2713756Z remote: Counting objects: 98% (231/235) 2025-08-14T21:37:04.2713936Z remote: Counting objects: 99% (233/235) 2025-08-14T21:37:04.2862575Z remote: Counting objects: 100% (235/235) 2025-08-14T21:37:04.2863082Z remote: Counting objects: 100% (235/235), done. 2025-08-14T21:37:04.2863276Z remote: Compressing objects: 0% (1/115) 2025-08-14T21:37:04.2866073Z remote: Compressing objects: 1% (2/115) 2025-08-14T21:37:04.2866232Z remote: Compressing objects: 2% (3/115) 2025-08-14T21:37:04.2866383Z remote: Compressing objects: 3% (4/115) 2025-08-14T21:37:04.2866529Z remote: Compressing objects: 4% (5/115) 2025-08-14T21:37:04.2866678Z remote: Compressing objects: 5% (6/115) 2025-08-14T21:37:04.2866826Z remote: Compressing objects: 6% (7/115) 2025-08-14T21:37:04.2866972Z remote: Compressing objects: 7% (9/115) 2025-08-14T21:37:04.2867156Z remote: Compressing objects: 8% (10/115) 2025-08-14T21:37:04.2867319Z remote: Compressing objects: 9% (11/115) 2025-08-14T21:37:04.2867451Z remote: Compressing objects: 10% (12/115) 2025-08-14T21:37:04.2868856Z remote: Compressing objects: 11% (13/115) 2025-08-14T21:37:04.2890509Z remote: Compressing objects: 12% (14/115) 2025-08-14T21:37:04.2939250Z remote: Compressing objects: 13% (15/115) 2025-08-14T21:37:04.2947427Z remote: Compressing objects: 14% (17/115) 2025-08-14T21:37:04.2947576Z remote: Compressing objects: 15% (18/115) 2025-08-14T21:37:04.2947713Z remote: Compressing objects: 16% (19/115) 2025-08-14T21:37:04.2947849Z remote: Compressing objects: 17% (20/115) 2025-08-14T21:37:04.2953081Z remote: Compressing objects: 18% (21/115) 2025-08-14T21:37:04.2953496Z remote: Compressing objects: 19% (22/115) 2025-08-14T21:37:04.2953681Z remote: Compressing objects: 20% (23/115) 2025-08-14T21:37:04.2954020Z remote: Compressing objects: 21% (25/115) 2025-08-14T21:37:04.2956594Z remote: Compressing objects: 22% (26/115) 2025-08-14T21:37:04.2956752Z remote: Compressing objects: 23% (27/115) 2025-08-14T21:37:04.2956904Z remote: Compressing objects: 24% (28/115) 2025-08-14T21:37:04.2957055Z remote: Compressing objects: 25% (29/115) 2025-08-14T21:37:04.2957201Z remote: Compressing objects: 26% (30/115) 2025-08-14T21:37:04.2957346Z remote: Compressing objects: 27% (32/115) 2025-08-14T21:37:04.2957493Z remote: Compressing objects: 28% (33/115) 2025-08-14T21:37:04.2957638Z remote: Compressing objects: 29% (34/115) 2025-08-14T21:37:04.2957770Z remote: Compressing objects: 30% (35/115) 2025-08-14T21:37:04.2957900Z remote: Compressing objects: 31% (36/115) 2025-08-14T21:37:04.2959510Z remote: Compressing objects: 32% (37/115) 2025-08-14T21:37:04.2959655Z remote: Compressing objects: 33% (38/115) 2025-08-14T21:37:04.2959808Z remote: Compressing objects: 34% (40/115) 2025-08-14T21:37:04.2959958Z remote: Compressing objects: 35% (41/115) 2025-08-14T21:37:04.2960093Z remote: Compressing objects: 36% (42/115) 2025-08-14T21:37:04.2960227Z remote: Compressing objects: 37% (43/115) 2025-08-14T21:37:04.2960359Z remote: Compressing objects: 38% (44/115) 2025-08-14T21:37:04.2960490Z remote: Compressing objects: 39% (45/115) 2025-08-14T21:37:04.2960622Z remote: Compressing objects: 40% (46/115) 2025-08-14T21:37:04.2960755Z remote: Compressing objects: 41% (48/115) 2025-08-14T21:37:04.2960890Z remote: Compressing objects: 42% (49/115) 2025-08-14T21:37:04.2961023Z remote: Compressing objects: 43% (50/115) 2025-08-14T21:37:04.2962457Z remote: Compressing objects: 44% (51/115) 2025-08-14T21:37:04.2962603Z remote: Compressing objects: 45% (52/115) 2025-08-14T21:37:04.2962827Z remote: Compressing objects: 46% (53/115) 2025-08-14T21:37:04.2962965Z remote: Compressing objects: 47% (55/115) 2025-08-14T21:37:04.2963181Z remote: Compressing objects: 48% (56/115) 2025-08-14T21:37:04.2963316Z remote: Compressing objects: 49% (57/115) 2025-08-14T21:37:04.2963447Z remote: Compressing objects: 50% (58/115) 2025-08-14T21:37:04.2963579Z remote: Compressing objects: 51% (59/115) 2025-08-14T21:37:04.2963710Z remote: Compressing objects: 52% (60/115) 2025-08-14T21:37:04.2963843Z remote: Compressing objects: 53% (61/115) 2025-08-14T21:37:04.2963974Z remote: Compressing objects: 54% (63/115) 2025-08-14T21:37:04.2964106Z remote: Compressing objects: 55% (64/115) 2025-08-14T21:37:04.2964242Z remote: Compressing objects: 56% (65/115) 2025-08-14T21:37:04.2964383Z remote: Compressing objects: 57% (66/115) 2025-08-14T21:37:04.2964517Z remote: Compressing objects: 58% (67/115) 2025-08-14T21:37:04.2964658Z remote: Compressing objects: 59% (68/115) 2025-08-14T21:37:04.2964818Z remote: Compressing objects: 60% (69/115) 2025-08-14T21:37:04.2964960Z remote: Compressing objects: 61% (71/115) 2025-08-14T21:37:04.2966360Z remote: Compressing objects: 62% (72/115) 2025-08-14T21:37:04.2966513Z remote: Compressing objects: 63% (73/115) 2025-08-14T21:37:04.2966645Z remote: Compressing objects: 64% (74/115) 2025-08-14T21:37:04.2966780Z remote: Compressing objects: 65% (75/115) 2025-08-14T21:37:04.2966911Z remote: Compressing objects: 66% (76/115) 2025-08-14T21:37:04.2967041Z remote: Compressing objects: 67% (78/115) 2025-08-14T21:37:04.2967172Z remote: Compressing objects: 68% (79/115) 2025-08-14T21:37:04.2967305Z remote: Compressing objects: 69% (80/115) 2025-08-14T21:37:04.2967436Z remote: Compressing objects: 70% (81/115) 2025-08-14T21:37:04.2967567Z remote: Compressing objects: 71% (82/115) 2025-08-14T21:37:04.2967764Z remote: Compressing objects: 72% (83/115) 2025-08-14T21:37:04.2969162Z remote: Compressing objects: 73% (84/115) 2025-08-14T21:37:04.2969295Z remote: Compressing objects: 74% (86/115) 2025-08-14T21:37:04.2969429Z remote: Compressing objects: 75% (87/115) 2025-08-14T21:37:04.2969559Z remote: Compressing objects: 76% (88/115) 2025-08-14T21:37:04.2969692Z remote: Compressing objects: 77% (89/115) 2025-08-14T21:37:04.2969823Z remote: Compressing objects: 78% (90/115) 2025-08-14T21:37:04.2969953Z remote: Compressing objects: 79% (91/115) 2025-08-14T21:37:04.2970084Z remote: Compressing objects: 80% (92/115) 2025-08-14T21:37:04.2970216Z remote: Compressing objects: 81% (94/115) 2025-08-14T21:37:04.2970347Z remote: Compressing objects: 82% (95/115) 2025-08-14T21:37:04.2971634Z remote: Compressing objects: 83% (96/115) 2025-08-14T21:37:04.2971791Z remote: Compressing objects: 84% (97/115) 2025-08-14T21:37:04.2971929Z remote: Compressing objects: 85% (98/115) 2025-08-14T21:37:04.2972063Z remote: Compressing objects: 86% (99/115) 2025-08-14T21:37:04.2972197Z remote: Compressing objects: 87% (101/115) 2025-08-14T21:37:04.2972336Z remote: Compressing objects: 88% (102/115) 2025-08-14T21:37:04.2972471Z remote: Compressing objects: 89% (103/115) 2025-08-14T21:37:04.2972605Z remote: Compressing objects: 90% (104/115) 2025-08-14T21:37:04.2972805Z remote: Compressing objects: 91% (105/115) 2025-08-14T21:37:04.2972938Z remote: Compressing objects: 92% (106/115) 2025-08-14T21:37:04.2973073Z remote: Compressing objects: 93% (107/115) 2025-08-14T21:37:04.2974229Z remote: Compressing objects: 94% (109/115) 2025-08-14T21:37:04.2974362Z remote: Compressing objects: 95% (110/115) 2025-08-14T21:37:04.2974494Z remote: Compressing objects: 96% (111/115) 2025-08-14T21:37:04.2974629Z remote: Compressing objects: 97% (112/115) 2025-08-14T21:37:04.2974767Z remote: Compressing objects: 98% (113/115) 2025-08-14T21:37:04.2974952Z remote: Compressing objects: 99% (114/115) 2025-08-14T21:37:04.2975087Z remote: Compressing objects: 100% (115/115) 2025-08-14T21:37:04.2975236Z remote: Compressing objects: 100% (115/115), done. 2025-08-14T21:37:04.2975380Z Receiving objects: 0% (1/534) 2025-08-14T21:37:04.2975492Z Receiving objects: 1% (6/534) 2025-08-14T21:37:04.2975601Z Receiving objects: 2% (11/534) 2025-08-14T21:37:04.2976640Z Receiving objects: 3% (17/534) 2025-08-14T21:37:04.2976748Z Receiving objects: 4% (22/534) 2025-08-14T21:37:04.2976851Z Receiving objects: 5% (27/534) 2025-08-14T21:37:04.2976954Z Receiving objects: 6% (33/534) 2025-08-14T21:37:04.2977059Z Receiving objects: 7% (38/534) 2025-08-14T21:37:04.2977161Z Receiving objects: 8% (43/534) 2025-08-14T21:37:04.3104943Z Receiving objects: 9% (49/534) 2025-08-14T21:37:04.3105068Z Receiving objects: 10% (54/534) 2025-08-14T21:37:04.3105194Z Receiving objects: 11% (59/534) 2025-08-14T21:37:04.3105301Z Receiving objects: 12% (65/534) 2025-08-14T21:37:04.3107118Z Receiving objects: 13% (70/534) 2025-08-14T21:37:04.3107242Z Receiving objects: 14% (75/534) 2025-08-14T21:37:04.3107349Z Receiving objects: 15% (81/534) 2025-08-14T21:37:04.3189504Z Receiving objects: 16% (86/534) 2025-08-14T21:37:04.3189633Z Receiving objects: 17% (91/534) 2025-08-14T21:37:04.3189744Z Receiving objects: 18% (97/534) 2025-08-14T21:37:04.3189857Z Receiving objects: 19% (102/534) 2025-08-14T21:37:04.3199671Z Receiving objects: 20% (107/534) 2025-08-14T21:37:04.3199833Z Receiving objects: 21% (113/534) 2025-08-14T21:37:04.3199949Z Receiving objects: 22% (118/534) 2025-08-14T21:37:04.3207880Z Receiving objects: 23% (123/534) 2025-08-14T21:37:04.3208095Z Receiving objects: 24% (129/534) 2025-08-14T21:37:04.3208222Z Receiving objects: 25% (134/534) 2025-08-14T21:37:04.3210183Z Receiving objects: 26% (139/534) 2025-08-14T21:37:04.3210381Z Receiving objects: 27% (145/534) 2025-08-14T21:37:04.3210495Z Receiving objects: 28% (150/534) 2025-08-14T21:37:04.3210609Z Receiving objects: 29% (155/534) 2025-08-14T21:37:04.3210713Z Receiving objects: 30% (161/534) 2025-08-14T21:37:04.3210818Z Receiving objects: 31% (166/534) 2025-08-14T21:37:04.3210924Z Receiving objects: 32% (171/534) 2025-08-14T21:37:04.3211093Z Receiving objects: 33% (177/534) 2025-08-14T21:37:04.3211198Z Receiving objects: 34% (182/534) 2025-08-14T21:37:04.3211305Z Receiving objects: 35% (187/534) 2025-08-14T21:37:04.3212692Z Receiving objects: 36% (193/534) 2025-08-14T21:37:04.3212877Z Receiving objects: 37% (198/534) 2025-08-14T21:37:04.3212983Z Receiving objects: 38% (203/534) 2025-08-14T21:37:04.3213087Z Receiving objects: 39% (209/534) 2025-08-14T21:37:04.3213190Z Receiving objects: 40% (214/534) 2025-08-14T21:37:04.3213294Z Receiving objects: 41% (219/534) 2025-08-14T21:37:04.3213398Z Receiving objects: 42% (225/534) 2025-08-14T21:37:04.3213509Z Receiving objects: 43% (230/534) 2025-08-14T21:37:04.3213616Z Receiving objects: 44% (235/534) 2025-08-14T21:37:04.3213723Z Receiving objects: 45% (241/534) 2025-08-14T21:37:04.3213826Z Receiving objects: 46% (246/534) 2025-08-14T21:37:04.3214995Z Receiving objects: 47% (251/534) 2025-08-14T21:37:04.3215127Z Receiving objects: 48% (257/534) 2025-08-14T21:37:04.3215235Z Receiving objects: 49% (262/534) 2025-08-14T21:37:04.3215766Z Receiving objects: 50% (267/534) 2025-08-14T21:37:04.3345695Z Receiving objects: 51% (273/534) 2025-08-14T21:37:04.3345837Z Receiving objects: 52% (278/534) 2025-08-14T21:37:04.3345949Z Receiving objects: 53% (284/534) 2025-08-14T21:37:04.3346484Z Receiving objects: 54% (289/534) 2025-08-14T21:37:04.3346598Z Receiving objects: 55% (294/534) 2025-08-14T21:37:04.3346703Z Receiving objects: 56% (300/534) 2025-08-14T21:37:04.3346814Z Receiving objects: 57% (305/534) 2025-08-14T21:37:04.3348690Z Receiving objects: 58% (310/534) 2025-08-14T21:37:04.3430133Z Receiving objects: 59% (316/534) 2025-08-14T21:37:04.3430350Z Receiving objects: 60% (321/534) 2025-08-14T21:37:04.3430562Z Receiving objects: 61% (326/534) 2025-08-14T21:37:04.3430677Z Receiving objects: 62% (332/534) 2025-08-14T21:37:04.3430786Z Receiving objects: 63% (337/534) 2025-08-14T21:37:04.3430893Z Receiving objects: 64% (342/534) 2025-08-14T21:37:04.3431001Z Receiving objects: 65% (348/534) 2025-08-14T21:37:04.3431104Z Receiving objects: 66% (353/534) 2025-08-14T21:37:04.3431209Z Receiving objects: 67% (358/534) 2025-08-14T21:37:04.3433161Z Receiving objects: 68% (364/534) 2025-08-14T21:37:04.3433290Z Receiving objects: 69% (369/534) 2025-08-14T21:37:04.3433400Z Receiving objects: 70% (374/534) 2025-08-14T21:37:04.3433507Z Receiving objects: 71% (380/534) 2025-08-14T21:37:04.3433611Z Receiving objects: 72% (385/534) 2025-08-14T21:37:04.3433715Z Receiving objects: 73% (390/534) 2025-08-14T21:37:04.3433819Z Receiving objects: 74% (396/534) 2025-08-14T21:37:04.3433922Z Receiving objects: 75% (401/534) 2025-08-14T21:37:04.3434030Z Receiving objects: 76% (406/534) 2025-08-14T21:37:04.3434134Z Receiving objects: 77% (412/534) 2025-08-14T21:37:04.3452506Z Receiving objects: 78% (417/534) 2025-08-14T21:37:04.3454037Z Receiving objects: 79% (422/534) 2025-08-14T21:37:04.3456035Z Receiving objects: 80% (428/534) 2025-08-14T21:37:04.3456150Z Receiving objects: 81% (433/534) 2025-08-14T21:37:04.3456269Z Receiving objects: 82% (438/534) 2025-08-14T21:37:04.3456375Z Receiving objects: 83% (444/534) 2025-08-14T21:37:04.3456481Z Receiving objects: 84% (449/534) 2025-08-14T21:37:04.3456585Z Receiving objects: 85% (454/534) 2025-08-14T21:37:04.3456688Z Receiving objects: 86% (460/534) 2025-08-14T21:37:04.3456792Z Receiving objects: 87% (465/534) 2025-08-14T21:37:04.3456896Z Receiving objects: 88% (470/534) 2025-08-14T21:37:04.3457004Z Receiving objects: 89% (476/534) 2025-08-14T21:37:04.3457112Z Receiving objects: 90% (481/534) 2025-08-14T21:37:04.3458454Z Receiving objects: 91% (486/534) 2025-08-14T21:37:04.3458638Z Receiving objects: 92% (492/534) 2025-08-14T21:37:04.3458744Z Receiving objects: 93% (497/534) 2025-08-14T21:37:04.3587395Z Receiving objects: 94% (502/534) 2025-08-14T21:37:04.3587747Z Receiving objects: 95% (508/534) 2025-08-14T21:37:04.3588055Z Receiving objects: 96% (513/534) 2025-08-14T21:37:04.3588354Z Receiving objects: 97% (518/534) 2025-08-14T21:37:04.3670295Z Receiving objects: 98% (524/534) 2025-08-14T21:37:04.3670502Z remote: Total 534 (delta 168), reused 124 (delta 117), pack-reused 299 (from 2) 2025-08-14T21:37:04.3671318Z Receiving objects: 99% (529/534) 2025-08-14T21:37:04.3674045Z Receiving objects: 100% (534/534) 2025-08-14T21:37:04.3674314Z Receiving objects: 100% (534/534), 251.05 KiB | 3.49 MiB/s, done. 2025-08-14T21:37:04.3674730Z Resolving deltas: 0% (0/295) 2025-08-14T21:37:04.3674919Z Resolving deltas: 1% (3/295) 2025-08-14T21:37:04.3676016Z Resolving deltas: 2% (6/295) 2025-08-14T21:37:04.3677987Z Resolving deltas: 3% (9/295) 2025-08-14T21:37:04.3678341Z Resolving deltas: 4% (12/295) 2025-08-14T21:37:04.3678506Z Resolving deltas: 5% (15/295) 2025-08-14T21:37:04.3678656Z Resolving deltas: 6% (18/295) 2025-08-14T21:37:04.3678797Z Resolving deltas: 7% (21/295) 2025-08-14T21:37:04.3678933Z Resolving deltas: 8% (24/295) 2025-08-14T21:37:04.3681524Z Resolving deltas: 9% (27/295) 2025-08-14T21:37:04.3681661Z Resolving deltas: 10% (30/295) 2025-08-14T21:37:04.3681772Z Resolving deltas: 11% (33/295) 2025-08-14T21:37:04.3681889Z Resolving deltas: 12% (36/295) 2025-08-14T21:37:04.3682001Z Resolving deltas: 13% (39/295) 2025-08-14T21:37:04.3682155Z Resolving deltas: 14% (42/295) 2025-08-14T21:37:04.3682698Z Resolving deltas: 15% (45/295) 2025-08-14T21:37:04.3683132Z Resolving deltas: 16% (48/295) 2025-08-14T21:37:04.3683262Z Resolving deltas: 17% (53/295) 2025-08-14T21:37:04.3683372Z Resolving deltas: 18% (54/295) 2025-08-14T21:37:04.3685882Z Resolving deltas: 19% (57/295) 2025-08-14T21:37:04.3686029Z Resolving deltas: 20% (59/295) 2025-08-14T21:37:04.3686178Z Resolving deltas: 21% (62/295) 2025-08-14T21:37:04.3686300Z Resolving deltas: 22% (65/295) 2025-08-14T21:37:04.3686579Z Resolving deltas: 23% (68/295) 2025-08-14T21:37:04.3686699Z Resolving deltas: 24% (71/295) 2025-08-14T21:37:04.3686817Z Resolving deltas: 25% (74/295) 2025-08-14T21:37:04.3686942Z Resolving deltas: 26% (77/295) 2025-08-14T21:37:04.3687117Z Resolving deltas: 27% (80/295) 2025-08-14T21:37:04.3687231Z Resolving deltas: 28% (83/295) 2025-08-14T21:37:04.3687337Z Resolving deltas: 29% (86/295) 2025-08-14T21:37:04.3688943Z Resolving deltas: 30% (89/295) 2025-08-14T21:37:04.3689069Z Resolving deltas: 31% (92/295) 2025-08-14T21:37:04.3689179Z Resolving deltas: 32% (95/295) 2025-08-14T21:37:04.3689283Z Resolving deltas: 33% (98/295) 2025-08-14T21:37:04.3689402Z Resolving deltas: 34% (101/295) 2025-08-14T21:37:04.3689519Z Resolving deltas: 35% (104/295) 2025-08-14T21:37:04.3689639Z Resolving deltas: 36% (107/295) 2025-08-14T21:37:04.3690319Z Resolving deltas: 37% (111/295) 2025-08-14T21:37:04.3690843Z Resolving deltas: 38% (113/295) 2025-08-14T21:37:04.3691125Z Resolving deltas: 39% (116/295) 2025-08-14T21:37:04.3694000Z Resolving deltas: 40% (118/295) 2025-08-14T21:37:04.3694223Z Resolving deltas: 41% (121/295) 2025-08-14T21:37:04.3694423Z Resolving deltas: 42% (125/295) 2025-08-14T21:37:04.3694600Z Resolving deltas: 43% (127/295) 2025-08-14T21:37:04.3694778Z Resolving deltas: 44% (130/295) 2025-08-14T21:37:04.3694963Z Resolving deltas: 45% (133/295) 2025-08-14T21:37:04.3695145Z Resolving deltas: 46% (136/295) 2025-08-14T21:37:04.3695329Z Resolving deltas: 47% (139/295) 2025-08-14T21:37:04.3695516Z Resolving deltas: 48% (142/295) 2025-08-14T21:37:04.3695693Z Resolving deltas: 49% (145/295) 2025-08-14T21:37:04.3695866Z Resolving deltas: 50% (148/295) 2025-08-14T21:37:04.3696043Z Resolving deltas: 51% (151/295) 2025-08-14T21:37:04.3696222Z Resolving deltas: 52% (154/295) 2025-08-14T21:37:04.3698546Z Resolving deltas: 53% (157/295) 2025-08-14T21:37:04.3698903Z Resolving deltas: 54% (160/295) 2025-08-14T21:37:04.3699077Z Resolving deltas: 55% (163/295) 2025-08-14T21:37:04.3699255Z Resolving deltas: 56% (166/295) 2025-08-14T21:37:04.3699425Z Resolving deltas: 57% (170/295) 2025-08-14T21:37:04.3699597Z Resolving deltas: 58% (172/295) 2025-08-14T21:37:04.3699763Z Resolving deltas: 59% (176/295) 2025-08-14T21:37:04.3699937Z Resolving deltas: 60% (177/295) 2025-08-14T21:37:04.3700112Z Resolving deltas: 61% (180/295) 2025-08-14T21:37:04.3700286Z Resolving deltas: 62% (183/295) 2025-08-14T21:37:04.3702487Z Resolving deltas: 63% (186/295) 2025-08-14T21:37:04.3702700Z Resolving deltas: 64% (190/295) 2025-08-14T21:37:04.3702958Z Resolving deltas: 65% (192/295) 2025-08-14T21:37:04.3703132Z Resolving deltas: 66% (195/295) 2025-08-14T21:37:04.3703308Z Resolving deltas: 67% (198/295) 2025-08-14T21:37:04.3703485Z Resolving deltas: 68% (201/295) 2025-08-14T21:37:04.3703659Z Resolving deltas: 69% (204/295) 2025-08-14T21:37:04.3703833Z Resolving deltas: 70% (208/295) 2025-08-14T21:37:04.3704015Z Resolving deltas: 71% (212/295) 2025-08-14T21:37:04.3704192Z Resolving deltas: 72% (213/295) 2025-08-14T21:37:04.3704370Z Resolving deltas: 73% (216/295) 2025-08-14T21:37:04.3706414Z Resolving deltas: 74% (219/295) 2025-08-14T21:37:04.3706601Z Resolving deltas: 75% (222/295) 2025-08-14T21:37:04.3706778Z Resolving deltas: 76% (225/295) 2025-08-14T21:37:04.3706951Z Resolving deltas: 77% (228/295) 2025-08-14T21:37:04.3707124Z Resolving deltas: 78% (231/295) 2025-08-14T21:37:04.3707295Z Resolving deltas: 79% (234/295) 2025-08-14T21:37:04.3711132Z Resolving deltas: 80% (236/295) 2025-08-14T21:37:04.3717194Z Resolving deltas: 81% (239/295) 2025-08-14T21:37:04.3722465Z Resolving deltas: 82% (242/295) 2025-08-14T21:37:04.3728212Z Resolving deltas: 83% (245/295) 2025-08-14T21:37:04.3733851Z Resolving deltas: 84% (248/295) 2025-08-14T21:37:04.3738209Z Resolving deltas: 85% (251/295) 2025-08-14T21:37:04.3741643Z Resolving deltas: 86% (254/295) 2025-08-14T21:37:04.3742655Z Resolving deltas: 87% (257/295) 2025-08-14T21:37:04.3743915Z Resolving deltas: 88% (260/295) 2025-08-14T21:37:04.3758201Z Resolving deltas: 89% (263/295) 2025-08-14T21:37:04.3770800Z Resolving deltas: 90% (266/295) 2025-08-14T21:37:04.3783956Z Resolving deltas: 91% (269/295) 2025-08-14T21:37:04.3796578Z Resolving deltas: 92% (272/295) 2025-08-14T21:37:04.3808813Z Resolving deltas: 93% (275/295) 2025-08-14T21:37:04.3822258Z Resolving deltas: 94% (278/295) 2025-08-14T21:37:04.3836452Z Resolving deltas: 95% (281/295) 2025-08-14T21:37:04.3847124Z Resolving deltas: 96% (284/295) 2025-08-14T21:37:04.3860347Z Resolving deltas: 97% (287/295) 2025-08-14T21:37:04.3872145Z Resolving deltas: 98% (290/295) 2025-08-14T21:37:04.3880659Z Resolving deltas: 99% (293/295) 2025-08-14T21:37:04.3883352Z Resolving deltas: 100% (295/295) 2025-08-14T21:37:04.3883615Z Resolving deltas: 100% (295/295), done. 2025-08-14T21:37:04.3979974Z Cloning into '/var/lib/jenkins/pytorch/fbgemm/external/json'... 2025-08-14T21:37:04.6752877Z remote: Enumerating objects: 63020, done. 2025-08-14T21:37:04.6754490Z remote: Counting objects: 1% (1/90) 2025-08-14T21:37:04.6759862Z remote: Counting objects: 2% (2/90) 2025-08-14T21:37:04.6760040Z remote: Counting objects: 3% (3/90) 2025-08-14T21:37:04.6760177Z remote: Counting objects: 4% (4/90) 2025-08-14T21:37:04.6760314Z remote: Counting objects: 5% (5/90) 2025-08-14T21:37:04.6760448Z remote: Counting objects: 6% (6/90) 2025-08-14T21:37:04.6760583Z remote: Counting objects: 7% (7/90) 2025-08-14T21:37:04.6760714Z remote: Counting objects: 8% (8/90) 2025-08-14T21:37:04.6760850Z remote: Counting objects: 10% (9/90) 2025-08-14T21:37:04.6760990Z remote: Counting objects: 11% (10/90) 2025-08-14T21:37:04.6761128Z remote: Counting objects: 12% (11/90) 2025-08-14T21:37:04.6761259Z remote: Counting objects: 13% (12/90) 2025-08-14T21:37:04.6761399Z remote: Counting objects: 14% (13/90) 2025-08-14T21:37:04.6761764Z remote: Counting objects: 15% (14/90) 2025-08-14T21:37:04.6761901Z remote: Counting objects: 16% (15/90) 2025-08-14T21:37:04.6762036Z remote: Counting objects: 17% (16/90) 2025-08-14T21:37:04.6762171Z remote: Counting objects: 18% (17/90) 2025-08-14T21:37:04.6763971Z remote: Counting objects: 20% (18/90) 2025-08-14T21:37:04.6764104Z remote: Counting objects: 21% (19/90) 2025-08-14T21:37:04.6764229Z remote: Counting objects: 22% (20/90) 2025-08-14T21:37:04.6764355Z remote: Counting objects: 23% (21/90) 2025-08-14T21:37:04.6764479Z remote: Counting objects: 24% (22/90) 2025-08-14T21:37:04.6764603Z remote: Counting objects: 25% (23/90) 2025-08-14T21:37:04.6764726Z remote: Counting objects: 26% (24/90) 2025-08-14T21:37:04.6764851Z remote: Counting objects: 27% (25/90) 2025-08-14T21:37:04.6764974Z remote: Counting objects: 28% (26/90) 2025-08-14T21:37:04.6765104Z remote: Counting objects: 30% (27/90) 2025-08-14T21:37:04.6765228Z remote: Counting objects: 31% (28/90) 2025-08-14T21:37:04.6766398Z remote: Counting objects: 32% (29/90) 2025-08-14T21:37:04.6766523Z remote: Counting objects: 33% (30/90) 2025-08-14T21:37:04.6766647Z remote: Counting objects: 34% (31/90) 2025-08-14T21:37:04.6766771Z remote: Counting objects: 35% (32/90) 2025-08-14T21:37:04.6766896Z remote: Counting objects: 36% (33/90) 2025-08-14T21:37:04.6767020Z remote: Counting objects: 37% (34/90) 2025-08-14T21:37:04.6767144Z remote: Counting objects: 38% (35/90) 2025-08-14T21:37:04.6767267Z remote: Counting objects: 40% (36/90) 2025-08-14T21:37:04.6767392Z remote: Counting objects: 41% (37/90) 2025-08-14T21:37:04.6767531Z remote: Counting objects: 42% (38/90) 2025-08-14T21:37:04.6767655Z remote: Counting objects: 43% (39/90) 2025-08-14T21:37:04.6768744Z remote: Counting objects: 44% (40/90) 2025-08-14T21:37:04.6768876Z remote: Counting objects: 45% (41/90) 2025-08-14T21:37:04.6769110Z remote: Counting objects: 46% (42/90) 2025-08-14T21:37:04.6769236Z remote: Counting objects: 47% (43/90) 2025-08-14T21:37:04.6769359Z remote: Counting objects: 48% (44/90) 2025-08-14T21:37:04.6769484Z remote: Counting objects: 50% (45/90) 2025-08-14T21:37:04.6769608Z remote: Counting objects: 51% (46/90) 2025-08-14T21:37:04.6769732Z remote: Counting objects: 52% (47/90) 2025-08-14T21:37:04.6769855Z remote: Counting objects: 53% (48/90) 2025-08-14T21:37:04.6769981Z remote: Counting objects: 54% (49/90) 2025-08-14T21:37:04.6770104Z remote: Counting objects: 55% (50/90) 2025-08-14T21:37:04.6771273Z remote: Counting objects: 56% (51/90) 2025-08-14T21:37:04.6771398Z remote: Counting objects: 57% (52/90) 2025-08-14T21:37:04.6771524Z remote: Counting objects: 58% (53/90) 2025-08-14T21:37:04.6771653Z remote: Counting objects: 60% (54/90) 2025-08-14T21:37:04.6771779Z remote: Counting objects: 61% (55/90) 2025-08-14T21:37:04.6771902Z remote: Counting objects: 62% (56/90) 2025-08-14T21:37:04.6772028Z remote: Counting objects: 63% (57/90) 2025-08-14T21:37:04.6772149Z remote: Counting objects: 64% (58/90) 2025-08-14T21:37:04.6772272Z remote: Counting objects: 65% (59/90) 2025-08-14T21:37:04.6772396Z remote: Counting objects: 66% (60/90) 2025-08-14T21:37:04.6772521Z remote: Counting objects: 67% (61/90) 2025-08-14T21:37:04.6773662Z remote: Counting objects: 68% (62/90) 2025-08-14T21:37:04.6773786Z remote: Counting objects: 70% (63/90) 2025-08-14T21:37:04.6773909Z remote: Counting objects: 71% (64/90) 2025-08-14T21:37:04.6774034Z remote: Counting objects: 72% (65/90) 2025-08-14T21:37:04.6774157Z remote: Counting objects: 73% (66/90) 2025-08-14T21:37:04.6774281Z remote: Counting objects: 74% (67/90) 2025-08-14T21:37:04.6774464Z remote: Counting objects: 75% (68/90) 2025-08-14T21:37:04.6774590Z remote: Counting objects: 76% (69/90) 2025-08-14T21:37:04.6774712Z remote: Counting objects: 77% (70/90) 2025-08-14T21:37:04.6774836Z remote: Counting objects: 78% (71/90) 2025-08-14T21:37:04.6774959Z remote: Counting objects: 80% (72/90) 2025-08-14T21:37:04.6775995Z remote: Counting objects: 81% (73/90) 2025-08-14T21:37:04.6776120Z remote: Counting objects: 82% (74/90) 2025-08-14T21:37:04.6776243Z remote: Counting objects: 83% (75/90) 2025-08-14T21:37:04.6776366Z remote: Counting objects: 84% (76/90) 2025-08-14T21:37:04.6776489Z remote: Counting objects: 85% (77/90) 2025-08-14T21:37:04.6776612Z remote: Counting objects: 86% (78/90) 2025-08-14T21:37:04.6776735Z remote: Counting objects: 87% (79/90) 2025-08-14T21:37:04.6776858Z remote: Counting objects: 88% (80/90) 2025-08-14T21:37:04.6776985Z remote: Counting objects: 90% (81/90) 2025-08-14T21:37:04.6777110Z remote: Counting objects: 91% (82/90) 2025-08-14T21:37:04.6777235Z remote: Counting objects: 92% (83/90) 2025-08-14T21:37:04.6778240Z remote: Counting objects: 93% (84/90) 2025-08-14T21:37:04.6778365Z remote: Counting objects: 94% (85/90) 2025-08-14T21:37:04.6778488Z remote: Counting objects: 95% (86/90) 2025-08-14T21:37:04.6778611Z remote: Counting objects: 96% (87/90) 2025-08-14T21:37:04.6778734Z remote: Counting objects: 97% (88/90) 2025-08-14T21:37:04.6778857Z remote: Counting objects: 98% (89/90) 2025-08-14T21:37:04.6778980Z remote: Counting objects: 100% (90/90) 2025-08-14T21:37:04.6779115Z remote: Counting objects: 100% (90/90), done. 2025-08-14T21:37:04.6779262Z remote: Compressing objects: 1% (1/74) 2025-08-14T21:37:04.6896979Z remote: Compressing objects: 2% (2/74) 2025-08-14T21:37:04.6970888Z remote: Compressing objects: 4% (3/74) 2025-08-14T21:37:04.6997236Z remote: Compressing objects: 5% (4/74) 2025-08-14T21:37:04.7023351Z remote: Compressing objects: 6% (5/74) 2025-08-14T21:37:04.7035382Z remote: Compressing objects: 8% (6/74) 2025-08-14T21:37:04.7035540Z remote: Compressing objects: 9% (7/74) 2025-08-14T21:37:04.7041644Z remote: Compressing objects: 10% (8/74) 2025-08-14T21:37:04.7046848Z remote: Compressing objects: 12% (9/74) 2025-08-14T21:37:04.7049209Z remote: Compressing objects: 13% (10/74) 2025-08-14T21:37:04.7049525Z remote: Compressing objects: 14% (11/74) 2025-08-14T21:37:04.7054397Z remote: Compressing objects: 16% (12/74) 2025-08-14T21:37:04.7055214Z remote: Compressing objects: 17% (13/74) 2025-08-14T21:37:04.7059374Z remote: Compressing objects: 18% (14/74) 2025-08-14T21:37:04.7062948Z remote: Compressing objects: 20% (15/74) 2025-08-14T21:37:04.7063223Z remote: Compressing objects: 21% (16/74) 2025-08-14T21:37:04.7067469Z remote: Compressing objects: 22% (17/74) 2025-08-14T21:37:04.7068577Z remote: Compressing objects: 24% (18/74) 2025-08-14T21:37:04.7068826Z remote: Compressing objects: 25% (19/74) 2025-08-14T21:37:04.7132940Z remote: Compressing objects: 27% (20/74) 2025-08-14T21:37:04.7133223Z remote: Compressing objects: 28% (21/74) 2025-08-14T21:37:04.7133381Z remote: Compressing objects: 29% (22/74) 2025-08-14T21:37:04.7133537Z remote: Compressing objects: 31% (23/74) 2025-08-14T21:37:04.7133675Z remote: Compressing objects: 32% (24/74) 2025-08-14T21:37:04.7133809Z remote: Compressing objects: 33% (25/74) 2025-08-14T21:37:04.7135302Z remote: Compressing objects: 35% (26/74) 2025-08-14T21:37:04.7135446Z remote: Compressing objects: 36% (27/74) 2025-08-14T21:37:04.7135581Z remote: Compressing objects: 37% (28/74) 2025-08-14T21:37:04.7135797Z remote: Compressing objects: 39% (29/74) 2025-08-14T21:37:04.7135934Z remote: Compressing objects: 40% (30/74) 2025-08-14T21:37:04.7136092Z remote: Compressing objects: 41% (31/74) 2025-08-14T21:37:04.7136236Z remote: Compressing objects: 43% (32/74) 2025-08-14T21:37:04.7136385Z remote: Compressing objects: 44% (33/74) 2025-08-14T21:37:04.7136520Z remote: Compressing objects: 45% (34/74) 2025-08-14T21:37:04.7136650Z remote: Compressing objects: 47% (35/74) 2025-08-14T21:37:04.7136779Z remote: Compressing objects: 48% (36/74) 2025-08-14T21:37:04.7137890Z remote: Compressing objects: 50% (37/74) 2025-08-14T21:37:04.7138023Z remote: Compressing objects: 51% (38/74) 2025-08-14T21:37:04.7138152Z remote: Compressing objects: 52% (39/74) 2025-08-14T21:37:04.7138281Z remote: Compressing objects: 54% (40/74) 2025-08-14T21:37:04.7138410Z remote: Compressing objects: 55% (41/74) 2025-08-14T21:37:04.7138546Z remote: Compressing objects: 56% (42/74) 2025-08-14T21:37:04.7138675Z remote: Compressing objects: 58% (43/74) 2025-08-14T21:37:04.7138805Z remote: Compressing objects: 59% (44/74) 2025-08-14T21:37:04.7138934Z remote: Compressing objects: 60% (45/74) 2025-08-14T21:37:04.7139063Z remote: Compressing objects: 62% (46/74) 2025-08-14T21:37:04.7139192Z remote: Compressing objects: 63% (47/74) 2025-08-14T21:37:04.7140263Z remote: Compressing objects: 64% (48/74) 2025-08-14T21:37:04.7140394Z remote: Compressing objects: 66% (49/74) 2025-08-14T21:37:04.7140523Z remote: Compressing objects: 67% (50/74) 2025-08-14T21:37:04.7140653Z remote: Compressing objects: 68% (51/74) 2025-08-14T21:37:04.7140783Z remote: Compressing objects: 70% (52/74) 2025-08-14T21:37:04.7140912Z remote: Compressing objects: 71% (53/74) 2025-08-14T21:37:04.7141042Z remote: Compressing objects: 72% (54/74) 2025-08-14T21:37:04.7141176Z remote: Compressing objects: 74% (55/74) 2025-08-14T21:37:04.7141306Z remote: Compressing objects: 75% (56/74) 2025-08-14T21:37:04.7141512Z remote: Compressing objects: 77% (57/74) 2025-08-14T21:37:04.7141643Z remote: Compressing objects: 78% (58/74) 2025-08-14T21:37:04.7141773Z remote: Compressing objects: 79% (59/74) 2025-08-14T21:37:04.7142934Z remote: Compressing objects: 81% (60/74) 2025-08-14T21:37:04.7143066Z remote: Compressing objects: 82% (61/74) 2025-08-14T21:37:04.7143197Z remote: Compressing objects: 83% (62/74) 2025-08-14T21:37:04.7143326Z remote: Compressing objects: 85% (63/74) 2025-08-14T21:37:04.7143455Z remote: Compressing objects: 86% (64/74) 2025-08-14T21:37:04.7143585Z remote: Compressing objects: 87% (65/74) 2025-08-14T21:37:04.7143715Z remote: Compressing objects: 89% (66/74) 2025-08-14T21:37:04.7143844Z remote: Compressing objects: 90% (67/74) 2025-08-14T21:37:04.7206591Z remote: Compressing objects: 91% (68/74) 2025-08-14T21:37:04.7206766Z remote: Compressing objects: 93% (69/74) 2025-08-14T21:37:04.7208330Z remote: Compressing objects: 94% (70/74) 2025-08-14T21:37:04.7208477Z remote: Compressing objects: 95% (71/74) 2025-08-14T21:37:04.7208610Z remote: Compressing objects: 97% (72/74) 2025-08-14T21:37:04.7208740Z remote: Compressing objects: 98% (73/74) 2025-08-14T21:37:04.7208869Z remote: Compressing objects: 100% (74/74) 2025-08-14T21:37:04.7209015Z remote: Compressing objects: 100% (74/74), done. 2025-08-14T21:37:04.8005583Z Receiving objects: 0% (1/63020) 2025-08-14T21:37:04.8241564Z Receiving objects: 1% (631/63020) 2025-08-14T21:37:04.8286857Z Receiving objects: 2% (1261/63020) 2025-08-14T21:37:04.8483805Z Receiving objects: 3% (1891/63020) 2025-08-14T21:37:04.8529357Z Receiving objects: 4% (2521/63020) 2025-08-14T21:37:04.8565307Z Receiving objects: 5% (3151/63020) 2025-08-14T21:37:04.8587899Z Receiving objects: 6% (3782/63020) 2025-08-14T21:37:04.8838547Z Receiving objects: 7% (4412/63020) 2025-08-14T21:37:04.9122109Z Receiving objects: 8% (5042/63020) 2025-08-14T21:37:04.9377418Z Receiving objects: 9% (5672/63020) 2025-08-14T21:37:04.9689329Z Receiving objects: 10% (6302/63020) 2025-08-14T21:37:05.0054584Z Receiving objects: 11% (6933/63020) 2025-08-14T21:37:05.0298414Z Receiving objects: 12% (7563/63020) 2025-08-14T21:37:05.0613051Z Receiving objects: 13% (8193/63020) 2025-08-14T21:37:05.0747000Z Receiving objects: 14% (8823/63020) 2025-08-14T21:37:05.0764956Z Receiving objects: 15% (9453/63020) 2025-08-14T21:37:05.0835672Z Receiving objects: 16% (10084/63020) 2025-08-14T21:37:05.0906995Z Receiving objects: 17% (10714/63020) 2025-08-14T21:37:05.1149520Z Receiving objects: 18% (11344/63020) 2025-08-14T21:37:05.1186899Z Receiving objects: 19% (11974/63020) 2025-08-14T21:37:05.1417344Z Receiving objects: 20% (12604/63020) 2025-08-14T21:37:05.1730725Z Receiving objects: 21% (13235/63020) 2025-08-14T21:37:05.1856812Z Receiving objects: 22% (13865/63020) 2025-08-14T21:37:05.2226378Z Receiving objects: 23% (14495/63020) 2025-08-14T21:37:05.2528421Z Receiving objects: 24% (15125/63020) 2025-08-14T21:37:05.2595429Z Receiving objects: 25% (15755/63020), 47.43 MiB | 94.85 MiB/s 2025-08-14T21:37:05.2649172Z Receiving objects: 26% (16386/63020), 47.43 MiB | 94.85 MiB/s 2025-08-14T21:37:05.2725394Z Receiving objects: 27% (17016/63020), 47.43 MiB | 94.85 MiB/s 2025-08-14T21:37:05.2791552Z Receiving objects: 28% (17646/63020), 47.43 MiB | 94.85 MiB/s 2025-08-14T21:37:05.2856627Z Receiving objects: 29% (18276/63020), 47.43 MiB | 94.85 MiB/s 2025-08-14T21:37:05.2917288Z Receiving objects: 30% (18906/63020), 47.43 MiB | 94.85 MiB/s 2025-08-14T21:37:05.2980687Z Receiving objects: 31% (19537/63020), 47.43 MiB | 94.85 MiB/s 2025-08-14T21:37:05.3043973Z Receiving objects: 32% (20167/63020), 47.43 MiB | 94.85 MiB/s 2025-08-14T21:37:05.3094647Z Receiving objects: 33% (20797/63020), 47.43 MiB | 94.85 MiB/s 2025-08-14T21:37:05.3164605Z Receiving objects: 34% (21427/63020), 47.43 MiB | 94.85 MiB/s 2025-08-14T21:37:05.3233503Z Receiving objects: 35% (22057/63020), 47.43 MiB | 94.85 MiB/s 2025-08-14T21:37:05.3285624Z Receiving objects: 36% (22688/63020), 47.43 MiB | 94.85 MiB/s 2025-08-14T21:37:05.3351464Z Receiving objects: 37% (23318/63020), 47.43 MiB | 94.85 MiB/s 2025-08-14T21:37:05.3430212Z Receiving objects: 38% (23948/63020), 47.43 MiB | 94.85 MiB/s 2025-08-14T21:37:05.3492509Z Receiving objects: 39% (24578/63020), 47.43 MiB | 94.85 MiB/s 2025-08-14T21:37:05.3554777Z Receiving objects: 40% (25208/63020), 47.43 MiB | 94.85 MiB/s 2025-08-14T21:37:05.3661125Z Receiving objects: 41% (25839/63020), 47.43 MiB | 94.85 MiB/s 2025-08-14T21:37:05.3731344Z Receiving objects: 42% (26469/63020), 47.43 MiB | 94.85 MiB/s 2025-08-14T21:37:05.3797548Z Receiving objects: 43% (27099/63020), 47.43 MiB | 94.85 MiB/s 2025-08-14T21:37:05.3878363Z Receiving objects: 44% (27729/63020), 47.43 MiB | 94.85 MiB/s 2025-08-14T21:37:05.3947878Z Receiving objects: 45% (28359/63020), 47.43 MiB | 94.85 MiB/s 2025-08-14T21:37:05.4008295Z Receiving objects: 46% (28990/63020), 47.43 MiB | 94.85 MiB/s 2025-08-14T21:37:05.4077074Z Receiving objects: 47% (29620/63020), 47.43 MiB | 94.85 MiB/s 2025-08-14T21:37:05.4132955Z Receiving objects: 48% (30250/63020), 47.43 MiB | 94.85 MiB/s 2025-08-14T21:37:05.4198734Z Receiving objects: 49% (30880/63020), 47.43 MiB | 94.85 MiB/s 2025-08-14T21:37:05.4269550Z Receiving objects: 50% (31510/63020), 47.43 MiB | 94.85 MiB/s 2025-08-14T21:37:05.4333739Z Receiving objects: 51% (32141/63020), 47.43 MiB | 94.85 MiB/s 2025-08-14T21:37:05.4441040Z Receiving objects: 52% (32771/63020), 47.43 MiB | 94.85 MiB/s 2025-08-14T21:37:05.4520595Z Receiving objects: 53% (33401/63020), 47.43 MiB | 94.85 MiB/s 2025-08-14T21:37:05.7032542Z Receiving objects: 54% (34031/63020), 47.43 MiB | 94.85 MiB/s 2025-08-14T21:37:05.7277404Z Receiving objects: 55% (34661/63020), 47.43 MiB | 94.85 MiB/s 2025-08-14T21:37:05.8920619Z Receiving objects: 55% (34779/63020), 84.25 MiB | 84.24 MiB/s 2025-08-14T21:37:06.6282553Z Receiving objects: 56% (35292/63020), 84.25 MiB | 84.24 MiB/s 2025-08-14T21:37:06.6472679Z Receiving objects: 57% (35922/63020), 129.93 MiB | 86.61 MiB/s 2025-08-14T21:37:06.6570864Z Receiving objects: 58% (36552/63020), 129.93 MiB | 86.61 MiB/s 2025-08-14T21:37:06.6741933Z Receiving objects: 59% (37182/63020), 129.93 MiB | 86.61 MiB/s 2025-08-14T21:37:06.7275655Z Receiving objects: 60% (37812/63020), 129.93 MiB | 86.61 MiB/s 2025-08-14T21:37:06.7517022Z Receiving objects: 60% (38200/63020), 188.14 MiB | 94.06 MiB/s 2025-08-14T21:37:06.7621988Z Receiving objects: 61% (38443/63020), 188.14 MiB | 94.06 MiB/s 2025-08-14T21:37:06.7660858Z Receiving objects: 62% (39073/63020), 188.14 MiB | 94.06 MiB/s 2025-08-14T21:37:06.7680238Z Receiving objects: 63% (39703/63020), 188.14 MiB | 94.06 MiB/s 2025-08-14T21:37:06.7786038Z Receiving objects: 64% (40333/63020), 188.14 MiB | 94.06 MiB/s 2025-08-14T21:37:06.7959543Z Receiving objects: 65% (40963/63020), 188.14 MiB | 94.06 MiB/s 2025-08-14T21:37:06.7995357Z Receiving objects: 66% (41594/63020), 188.14 MiB | 94.06 MiB/s 2025-08-14T21:37:06.8096938Z Receiving objects: 67% (42224/63020), 188.14 MiB | 94.06 MiB/s 2025-08-14T21:37:06.8135906Z Receiving objects: 68% (42854/63020), 188.14 MiB | 94.06 MiB/s 2025-08-14T21:37:06.8154876Z Receiving objects: 69% (43484/63020), 188.14 MiB | 94.06 MiB/s 2025-08-14T21:37:06.8163820Z Receiving objects: 70% (44114/63020), 188.14 MiB | 94.06 MiB/s 2025-08-14T21:37:06.8187934Z Receiving objects: 71% (44745/63020), 188.14 MiB | 94.06 MiB/s 2025-08-14T21:37:06.8253852Z Receiving objects: 72% (45375/63020), 188.14 MiB | 94.06 MiB/s 2025-08-14T21:37:06.8323710Z Receiving objects: 73% (46005/63020), 188.14 MiB | 94.06 MiB/s 2025-08-14T21:37:06.8332426Z Receiving objects: 74% (46635/63020), 188.14 MiB | 94.06 MiB/s 2025-08-14T21:37:06.8491438Z Receiving objects: 75% (47265/63020), 188.14 MiB | 94.06 MiB/s 2025-08-14T21:37:06.8500155Z Receiving objects: 76% (47896/63020), 188.14 MiB | 94.06 MiB/s 2025-08-14T21:37:06.8596136Z Receiving objects: 77% (48526/63020), 188.14 MiB | 94.06 MiB/s 2025-08-14T21:37:06.8689289Z Receiving objects: 78% (49156/63020), 188.14 MiB | 94.06 MiB/s 2025-08-14T21:37:06.9095996Z Receiving objects: 79% (49786/63020), 188.14 MiB | 94.06 MiB/s 2025-08-14T21:37:06.9117980Z Receiving objects: 80% (50416/63020), 188.14 MiB | 94.06 MiB/s 2025-08-14T21:37:06.9144816Z Receiving objects: 81% (51047/63020), 188.14 MiB | 94.06 MiB/s 2025-08-14T21:37:06.9152012Z Receiving objects: 82% (51677/63020), 188.14 MiB | 94.06 MiB/s 2025-08-14T21:37:06.9212864Z Receiving objects: 83% (52307/63020), 188.14 MiB | 94.06 MiB/s 2025-08-14T21:37:06.9242906Z Receiving objects: 84% (52937/63020), 188.14 MiB | 94.06 MiB/s 2025-08-14T21:37:06.9272080Z Receiving objects: 85% (53567/63020), 188.14 MiB | 94.06 MiB/s 2025-08-14T21:37:06.9294799Z Receiving objects: 86% (54198/63020), 188.14 MiB | 94.06 MiB/s 2025-08-14T21:37:06.9304140Z Receiving objects: 87% (54828/63020), 188.14 MiB | 94.06 MiB/s 2025-08-14T21:37:06.9306643Z Receiving objects: 88% (55458/63020), 188.14 MiB | 94.06 MiB/s 2025-08-14T21:37:06.9310988Z Receiving objects: 89% (56088/63020), 188.14 MiB | 94.06 MiB/s 2025-08-14T21:37:06.9313692Z Receiving objects: 90% (56718/63020), 188.14 MiB | 94.06 MiB/s 2025-08-14T21:37:06.9317479Z Receiving objects: 91% (57349/63020), 188.14 MiB | 94.06 MiB/s 2025-08-14T21:37:06.9332277Z Receiving objects: 92% (57979/63020), 188.14 MiB | 94.06 MiB/s 2025-08-14T21:37:06.9393408Z Receiving objects: 93% (58609/63020), 188.14 MiB | 94.06 MiB/s 2025-08-14T21:37:06.9495978Z Receiving objects: 94% (59239/63020), 188.14 MiB | 94.06 MiB/s 2025-08-14T21:37:06.9605729Z Receiving objects: 95% (59869/63020), 188.14 MiB | 94.06 MiB/s 2025-08-14T21:37:06.9681096Z Receiving objects: 96% (60500/63020), 188.14 MiB | 94.06 MiB/s 2025-08-14T21:37:06.9841844Z Receiving objects: 97% (61130/63020), 188.14 MiB | 94.06 MiB/s 2025-08-14T21:37:07.0077648Z Receiving objects: 98% (61760/63020), 188.14 MiB | 94.06 MiB/s 2025-08-14T21:37:07.0168904Z Receiving objects: 99% (62390/63020), 188.14 MiB | 94.06 MiB/s 2025-08-14T21:37:07.0169537Z remote: Total 63020 (delta 63), reused 16 (delta 16), pack-reused 62930 (from 2) 2025-08-14T21:37:07.0181665Z Receiving objects: 100% (63020/63020), 188.14 MiB | 94.06 MiB/s 2025-08-14T21:37:07.0187892Z Receiving objects: 100% (63020/63020), 220.53 MiB | 96.30 MiB/s, done. 2025-08-14T21:37:07.0242946Z Resolving deltas: 0% (0/36584) 2025-08-14T21:37:07.0264421Z Resolving deltas: 1% (366/36584) 2025-08-14T21:37:07.0275622Z Resolving deltas: 2% (732/36584) 2025-08-14T21:37:07.0291927Z Resolving deltas: 3% (1099/36584) 2025-08-14T21:37:07.0306741Z Resolving deltas: 4% (1465/36584) 2025-08-14T21:37:07.0322887Z Resolving deltas: 5% (1830/36584) 2025-08-14T21:37:07.0337552Z Resolving deltas: 6% (2196/36584) 2025-08-14T21:37:07.0355229Z Resolving deltas: 7% (2561/36584) 2025-08-14T21:37:07.0460630Z Resolving deltas: 8% (2927/36584) 2025-08-14T21:37:07.0641551Z Resolving deltas: 9% (3293/36584) 2025-08-14T21:37:07.0789841Z Resolving deltas: 10% (3659/36584) 2025-08-14T21:37:07.0817331Z Resolving deltas: 11% (4025/36584) 2025-08-14T21:37:07.0868807Z Resolving deltas: 12% (4391/36584) 2025-08-14T21:37:07.0881133Z Resolving deltas: 13% (4756/36584) 2025-08-14T21:37:07.0894946Z Resolving deltas: 14% (5125/36584) 2025-08-14T21:37:07.0909430Z Resolving deltas: 15% (5488/36584) 2025-08-14T21:37:07.0935643Z Resolving deltas: 16% (5854/36584) 2025-08-14T21:37:07.0960044Z Resolving deltas: 17% (6220/36584) 2025-08-14T21:37:07.0972351Z Resolving deltas: 18% (6586/36584) 2025-08-14T21:37:07.0986232Z Resolving deltas: 19% (6951/36584) 2025-08-14T21:37:07.0998123Z Resolving deltas: 20% (7317/36584) 2025-08-14T21:37:07.1011749Z Resolving deltas: 21% (7683/36584) 2025-08-14T21:37:07.1023213Z Resolving deltas: 22% (8049/36584) 2025-08-14T21:37:07.1047212Z Resolving deltas: 23% (8416/36584) 2025-08-14T21:37:07.1075193Z Resolving deltas: 24% (8781/36584) 2025-08-14T21:37:07.1097386Z Resolving deltas: 25% (9146/36584) 2025-08-14T21:37:07.1115193Z Resolving deltas: 26% (9512/36584) 2025-08-14T21:37:07.1129917Z Resolving deltas: 27% (9878/36584) 2025-08-14T21:37:07.1145012Z Resolving deltas: 28% (10244/36584) 2025-08-14T21:37:07.1175917Z Resolving deltas: 29% (10610/36584) 2025-08-14T21:37:07.1224653Z Resolving deltas: 30% (10976/36584) 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Submodule path 'external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-08-14T21:37:07.9918787Z Submodule path 'external/cutlass': checked out 'b40777404c174b9694a870bff5c13ce6b7f656ad' 2025-08-14T21:37:08.0274834Z Submodule path 'external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-08-14T21:37:08.0465747Z Submodule path 'external/hipify_torch': checked out 'a4337c69fe0e2552a7b7b0669178926beeed828c' 2025-08-14T21:37:08.1136081Z Submodule path 'external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-08-14T21:37:08.1208933Z + pushd fbgemm/fbgemm_gpu 2025-08-14T21:37:08.1209097Z ~/pytorch/fbgemm/fbgemm_gpu ~/pytorch 2025-08-14T21:37:08.1209576Z + git checkout 7f1de94a4c2d14f59ad4ca84538c36084ea6b2c8 --recurse-submodules 2025-08-14T21:37:08.6867585Z Note: switching to '7f1de94a4c2d14f59ad4ca84538c36084ea6b2c8'. 2025-08-14T21:37:08.6867805Z 2025-08-14T21:37:08.6867912Z You are in 'detached HEAD' state. You can look around, make experimental 2025-08-14T21:37:08.6868160Z changes and commit them, and you can discard any commits you make in this 2025-08-14T21:37:08.6868364Z state without impacting any branches by switching back to a branch. 2025-08-14T21:37:08.6868489Z 2025-08-14T21:37:08.6868604Z If you want to create a new branch to retain commits you create, you may 2025-08-14T21:37:08.6868846Z do so (now or later) by using -c with the switch command. Example: 2025-08-14T21:37:08.6868981Z 2025-08-14T21:37:08.6874873Z git switch -c 2025-08-14T21:37:08.6875027Z 2025-08-14T21:37:08.6875074Z Or undo this operation with: 2025-08-14T21:37:08.6875173Z 2025-08-14T21:37:08.6875215Z git switch - 2025-08-14T21:37:08.6875317Z 2025-08-14T21:37:08.6875411Z Turn off this advice by setting config variable advice.detachedHead to false 2025-08-14T21:37:08.6875551Z 2025-08-14T21:37:08.6875617Z HEAD is now at 7f1de94a More code clean-up (#4514) 2025-08-14T21:37:08.6885205Z + python setup.py bdist_wheel --build-variant=rocm -DHIP_ROOT_DIR=/opt/rocm -DCMAKE_C_FLAGS=-DTORCH_USE_HIP_DSA -DCMAKE_CXX_FLAGS=-DTORCH_USE_HIP_DSA 2025-08-14T21:37:09.4103413Z [SETUP.PY] ARGV: ['setup.py', 'bdist_wheel', '--build-variant=rocm', '-DHIP_ROOT_DIR=/opt/rocm', '-DCMAKE_C_FLAGS=-DTORCH_USE_HIP_DSA', '-DCMAKE_CXX_FLAGS=-DTORCH_USE_HIP_DSA'] 2025-08-14T21:37:09.4105377Z [SETUP.PY] Parsed setup.py arguments: Namespace(verbose=False, debug='0', dryrun=False, build_target='default', build_variant='rocm', package_channel='nightly', nvml_lib_path=None, nccl_lib_path=None, use_fb_only=False, cxxprefix=None) 2025-08-14T21:37:09.4106083Z [SETUP.PY] Other arguments: ['bdist_wheel', '-DHIP_ROOT_DIR=/opt/rocm', '-DCMAKE_C_FLAGS=-DTORCH_USE_HIP_DSA', '-DCMAKE_CXX_FLAGS=-DTORCH_USE_HIP_DSA'] 2025-08-14T21:37:09.4536851Z [SETUP.PY] Generating version file at: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/fbgemm_gpu/docs/version.py 2025-08-14T21:37:09.4538110Z [SETUP.PY] Setting the FBGEMM build target: default ... 2025-08-14T21:37:09.4538295Z [SETUP.PY] Setting the FBGEMM build variant: rocm ... 2025-08-14T21:37:09.4538934Z [SETUP.PY] Passing CMake arguments: ['-DCMAKE_PREFIX_PATH=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch', '-D_GLIBCXX_USE_CXX11_ABI=1', '-DFBGEMM_BUILD_TARGET=default', '-DFBGEMM_BUILD_VARIANT=rocm', "-DCMAKE_C_FLAGS='-DROCM_VERSION=60400 -ltbb'", "-DCMAKE_CXX_FLAGS='-DROCM_VERSION=60400 -ltbb'", '-DHIP_ROOT_DIR=/opt/rocm', '-DCMAKE_C_FLAGS=-DTORCH_USE_HIP_DSA', '-DCMAKE_CXX_FLAGS=-DTORCH_USE_HIP_DSA'] 2025-08-14T21:37:09.4673861Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/dist.py:759: SetuptoolsDeprecationWarning: License classifiers are deprecated. 2025-08-14T21:37:09.4674389Z !! 2025-08-14T21:37:09.4674565Z 2025-08-14T21:37:09.4674712Z ******************************************************************************** 2025-08-14T21:37:09.4674943Z Please consider removing the following classifiers in favor of a SPDX license expression: 2025-08-14T21:37:09.4675095Z 2025-08-14T21:37:09.4675216Z License :: OSI Approved :: BSD License 2025-08-14T21:37:09.4675304Z 2025-08-14T21:37:09.4675473Z See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details. 2025-08-14T21:37:09.4675693Z ******************************************************************************** 2025-08-14T21:37:09.4677579Z 2025-08-14T21:37:09.4677622Z !! 2025-08-14T21:37:09.4677722Z self._finalize_license_expression() 2025-08-14T21:37:09.4709672Z 2025-08-14T21:37:09.4709811Z 2025-08-14T21:37:09.4709923Z -------------------------------------------------------------------------------- 2025-08-14T21:37:09.4710086Z -- Trying 'Ninja' generator 2025-08-14T21:37:09.4710200Z -------------------------------- 2025-08-14T21:37:09.4710467Z --------------------------- 2025-08-14T21:37:09.4710564Z ---------------------- 2025-08-14T21:37:09.4710659Z ----------------- 2025-08-14T21:37:09.4710744Z ------------ 2025-08-14T21:37:09.4710824Z ------- 2025-08-14T21:37:09.4712337Z -- 2025-08-14T21:37:09.4725951Z Not searching for unused variables given on the command line. 2025-08-14T21:37:09.5124219Z CMake Deprecation Warning at CMakeLists.txt:1 (cmake_minimum_required): 2025-08-14T21:37:09.5124849Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-08-14T21:37:09.5125270Z CMake. 2025-08-14T21:37:09.5125408Z 2025-08-14T21:37:09.5125643Z Update the VERSION argument value. Or, use the ... syntax 2025-08-14T21:37:09.5126203Z to tell CMake that the project requires at least but has been updated 2025-08-14T21:37:09.5126690Z to work with policies introduced by or earlier. 2025-08-14T21:37:09.5126953Z 2025-08-14T21:37:09.5127066Z  2025-08-14T21:37:09.5642405Z -- The C compiler identification is GNU 11.4.0 2025-08-14T21:37:09.5863567Z -- Detecting C compiler ABI info 2025-08-14T21:37:09.7636536Z -- Detecting C compiler ABI info - done 2025-08-14T21:37:09.7709657Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2025-08-14T21:37:09.7711145Z -- Detecting C compile features 2025-08-14T21:37:09.7713492Z -- Detecting C compile features - done 2025-08-14T21:37:09.8381332Z -- The CXX compiler identification is GNU 11.4.0 2025-08-14T21:37:09.8579937Z -- Detecting CXX compiler ABI info 2025-08-14T21:37:10.0352499Z -- Detecting CXX compiler ABI info - done 2025-08-14T21:37:10.0429024Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2025-08-14T21:37:10.0431225Z -- Detecting CXX compile features 2025-08-14T21:37:10.0440199Z -- Detecting CXX compile features - done 2025-08-14T21:37:10.0477303Z -- Configuring done (0.6s) 2025-08-14T21:37:10.0510790Z -- Generating done (0.0s) 2025-08-14T21:37:10.0512381Z -- Build files have been written to: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_cmake_test_compile/build 2025-08-14T21:37:10.0531111Z -- 2025-08-14T21:37:10.0531403Z ------- 2025-08-14T21:37:10.0531747Z ------------ 2025-08-14T21:37:10.0531842Z ----------------- 2025-08-14T21:37:10.0531938Z ---------------------- 2025-08-14T21:37:10.0532039Z --------------------------- 2025-08-14T21:37:10.0532143Z -------------------------------- 2025-08-14T21:37:10.0532266Z -- Trying 'Ninja' generator - success 2025-08-14T21:37:10.0532420Z -------------------------------------------------------------------------------- 2025-08-14T21:37:10.0532541Z 2025-08-14T21:37:10.0544299Z Configuring Project 2025-08-14T21:37:10.0544507Z Working directory: 2025-08-14T21:37:10.0544683Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build 2025-08-14T21:37:10.0544867Z Command: 2025-08-14T21:37:10.0547606Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/cmake/data/bin/cmake /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu -G Ninja -DCMAKE_MAKE_PROGRAM:FILEPATH=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/ninja/data/bin/ninja --no-warn-unused-cli -DCMAKE_INSTALL_PREFIX:PATH=/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-install -DPYTHON_VERSION_STRING:STRING=3.10.18 -DSKBUILD:INTERNAL=TRUE -DCMAKE_MODULE_PATH:PATH=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/skbuild/resources/cmake -DPYTHON_EXECUTABLE:PATH=/opt/conda/envs/py_3.10/bin/python -DPYTHON_INCLUDE_DIR:PATH=/opt/conda/envs/py_3.10/include/python3.10 -DPYTHON_LIBRARY:PATH=/opt/conda/envs/py_3.10/lib/libpython3.10.a -DPython_EXECUTABLE:PATH=/opt/conda/envs/py_3.10/bin/python -DPython_ROOT_DIR:PATH=/opt/conda/envs/py_3.10 -DPython_FIND_REGISTRY:STRING=NEVER -DPython_INCLUDE_DIR:PATH=/opt/conda/envs/py_3.10/include/python3.10 -DPython_NumPy_INCLUDE_DIRS:PATH=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numpy/core/include -DPython3_EXECUTABLE:PATH=/opt/conda/envs/py_3.10/bin/python -DPython3_ROOT_DIR:PATH=/opt/conda/envs/py_3.10 -DPython3_FIND_REGISTRY:STRING=NEVER -DPython3_INCLUDE_DIR:PATH=/opt/conda/envs/py_3.10/include/python3.10 -DPython3_NumPy_INCLUDE_DIRS:PATH=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numpy/core/include -DCMAKE_MAKE_PROGRAM:FILEPATH=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/ninja/data/bin/ninja -DCMAKE_PREFIX_PATH=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch -D_GLIBCXX_USE_CXX11_ABI=1 -DFBGEMM_BUILD_TARGET=default -DFBGEMM_BUILD_VARIANT=rocm '-DCMAKE_C_FLAGS='"'"'-DROCM_VERSION=60400 -ltbb'"'"'' '-DCMAKE_CXX_FLAGS='"'"'-DROCM_VERSION=60400 -ltbb'"'"'' -DHIP_ROOT_DIR=/opt/rocm -DCMAKE_C_FLAGS=-DTORCH_USE_HIP_DSA -DCMAKE_CXX_FLAGS=-DTORCH_USE_HIP_DSA -DHIP_ROOT_DIR=/opt/rocm -DCMAKE_C_FLAGS=-DTORCH_USE_HIP_DSA -DCMAKE_CXX_FLAGS=-DTORCH_USE_HIP_DSA -DCMAKE_BUILD_TYPE:STRING=Release 2025-08-14T21:37:10.0550625Z 2025-08-14T21:37:10.0557816Z Not searching for unused variables given on the command line. 2025-08-14T21:37:10.1000665Z  2025-08-14T21:37:10.1000864Z  2025-08-14T21:37:10.1001153Z ================================================================================ 2025-08-14T21:37:10.1006695Z Default C compiler flags 2025-08-14T21:37:10.1006929Z (values may be overridden by CMAKE_CXX_STANDARD and CXX_STANDARD): 2025-08-14T21:37:10.1007124Z  2025-08-14T21:37:10.1007253Z -DTORCH_USE_HIP_DSA 2025-08-14T21:37:10.1007435Z ================================================================================ 2025-08-14T21:37:10.1007591Z  2025-08-14T21:37:10.1007693Z  2025-08-14T21:37:10.1007797Z  2025-08-14T21:37:10.1007935Z ================================================================================ 2025-08-14T21:37:10.1008102Z Default C++ compiler flags 2025-08-14T21:37:10.1008300Z (values may be overridden by CMAKE_CXX_STANDARD and CXX_STANDARD): 2025-08-14T21:37:10.1008484Z  2025-08-14T21:37:10.1008606Z -DTORCH_USE_HIP_DSA 2025-08-14T21:37:10.1008777Z ================================================================================ 2025-08-14T21:37:10.1008933Z  2025-08-14T21:37:10.1009239Z  2025-08-14T21:37:10.1009327Z  2025-08-14T21:37:10.1009453Z ================================================================================ 2025-08-14T21:37:10.1009594Z AVX2_FLAGS: 2025-08-14T21:37:10.1010981Z  2025-08-14T21:37:10.1011164Z -mavx2 2025-08-14T21:37:10.1011260Z -mf16c 2025-08-14T21:37:10.1011353Z -mfma 2025-08-14T21:37:10.1011446Z -fopenmp 2025-08-14T21:37:10.1011577Z ================================================================================ 2025-08-14T21:37:10.1011704Z  2025-08-14T21:37:10.1011787Z  2025-08-14T21:37:10.1011869Z  2025-08-14T21:37:10.1011987Z ================================================================================ 2025-08-14T21:37:10.1012121Z AVX512_FLAGS: 2025-08-14T21:37:10.1013376Z  2025-08-14T21:37:10.1013479Z -mavx2 2025-08-14T21:37:10.1013572Z -mf16c 2025-08-14T21:37:10.1013663Z -mfma 2025-08-14T21:37:10.1013761Z -mavx512f 2025-08-14T21:37:10.1013862Z -mavx512bw 2025-08-14T21:37:10.1013959Z -mavx512dq 2025-08-14T21:37:10.1014054Z -mavx512vl 2025-08-14T21:37:10.1014149Z -fopenmp 2025-08-14T21:37:10.1014277Z ================================================================================ 2025-08-14T21:37:10.1014405Z  2025-08-14T21:37:10.1015467Z  2025-08-14T21:37:10.1015552Z  2025-08-14T21:37:10.1015674Z ================================================================================ 2025-08-14T21:37:10.1015834Z The project is built using scikit-build 2025-08-14T21:37:10.1015999Z ================================================================================ 2025-08-14T21:37:10.1016131Z  2025-08-14T21:37:10.1016215Z  2025-08-14T21:37:10.1016295Z  2025-08-14T21:37:10.1016549Z ================================================================================ 2025-08-14T21:37:10.1016687Z Build Settings 2025-08-14T21:37:10.1016785Z  2025-08-14T21:37:10.1017828Z FBGEMM_BUILD_TARGET : default 2025-08-14T21:37:10.1017974Z FBGEMM_BUILD_VARIANT : rocm 2025-08-14T21:37:10.1018090Z  2025-08-14T21:37:10.1018190Z NVCC_VERBOSE :  2025-08-14T21:37:10.1018316Z CUDNN_INCLUDE_DIR :  2025-08-14T21:37:10.1018438Z CUDNN_LIBRARY :  2025-08-14T21:37:10.1018558Z NVML_LIB_PATH :  2025-08-14T21:37:10.1018680Z TORCH_CUDA_ARCH_LIST :  2025-08-14T21:37:10.1018787Z  2025-08-14T21:37:10.1018891Z HIP_ROOT_DIR : /opt/rocm 2025-08-14T21:37:10.1019023Z HIPCC_VERBOSE :  2025-08-14T21:37:10.1019143Z AMDGPU_TARGETS :  2025-08-14T21:37:10.1020173Z PYTORCH_ROCM_ARCH :  2025-08-14T21:37:10.1020326Z ================================================================================ 2025-08-14T21:37:10.1020454Z  2025-08-14T21:37:10.1716473Z -- The CXX compiler identification is GNU 11.4.0 2025-08-14T21:37:10.2272138Z -- The C compiler identification is GNU 11.4.0 2025-08-14T21:37:10.2555183Z -- Detecting CXX compiler ABI info 2025-08-14T21:37:10.4385143Z -- Detecting CXX compiler ABI info - done 2025-08-14T21:37:10.4462225Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2025-08-14T21:37:10.4469489Z -- Detecting CXX compile features 2025-08-14T21:37:10.4469749Z -- Detecting CXX compile features - done 2025-08-14T21:37:10.4541905Z -- Detecting C compiler ABI info 2025-08-14T21:37:10.6286310Z -- Detecting C compiler ABI info - done 2025-08-14T21:37:10.6363765Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2025-08-14T21:37:10.6366043Z -- Detecting C compile features 2025-08-14T21:37:10.6368276Z -- Detecting C compile features - done 2025-08-14T21:37:10.6445431Z -- Performing Test C_HAS_AVX_1 2025-08-14T21:37:10.8840022Z -- Performing Test C_HAS_AVX_1 - Failed 2025-08-14T21:37:10.8846003Z -- Performing Test C_HAS_AVX_2 2025-08-14T21:37:11.1499349Z -- Performing Test C_HAS_AVX_2 - Success 2025-08-14T21:37:11.1499600Z -- Performing Test C_HAS_AVX2_1 2025-08-14T21:37:11.3987703Z -- Performing Test C_HAS_AVX2_1 - Failed 2025-08-14T21:37:11.3987873Z -- Performing Test C_HAS_AVX2_2 2025-08-14T21:37:11.7044162Z -- Performing Test C_HAS_AVX2_2 - Success 2025-08-14T21:37:11.7044659Z -- Performing Test C_HAS_AVX512_1 2025-08-14T21:37:11.9302094Z -- Performing Test C_HAS_AVX512_1 - Failed 2025-08-14T21:37:11.9302321Z -- Performing Test C_HAS_AVX512_2 2025-08-14T21:37:12.1705231Z -- Performing Test C_HAS_AVX512_2 - Success 2025-08-14T21:37:12.1705467Z -- Performing Test CXX_HAS_AVX_1 2025-08-14T21:37:12.3979850Z -- Performing Test CXX_HAS_AVX_1 - Failed 2025-08-14T21:37:12.3981280Z -- Performing Test CXX_HAS_AVX_2 2025-08-14T21:37:12.6647300Z -- Performing Test CXX_HAS_AVX_2 - Success 2025-08-14T21:37:12.6649728Z -- Performing Test CXX_HAS_AVX2_1 2025-08-14T21:37:12.8984563Z -- Performing Test CXX_HAS_AVX2_1 - Failed 2025-08-14T21:37:12.8984995Z -- Performing Test CXX_HAS_AVX2_2 2025-08-14T21:37:13.1721119Z -- Performing Test CXX_HAS_AVX2_2 - Success 2025-08-14T21:37:13.1727448Z -- Performing Test CXX_HAS_AVX512_1 2025-08-14T21:37:13.4092559Z -- Performing Test CXX_HAS_AVX512_1 - Failed 2025-08-14T21:37:13.4093250Z -- Performing Test CXX_HAS_AVX512_2 2025-08-14T21:37:13.6527110Z -- Performing Test CXX_HAS_AVX512_2 - Success 2025-08-14T21:37:13.6558929Z Building PyTorch for GPU arch: gfx90a;gfx942 2025-08-14T21:37:13.7499207Z -- Found HIP: /opt/rocm (found suitable version "6.4.43484-123eb5128", minimum required is "1.0") 2025-08-14T21:37:13.7501817Z HIP VERSION: 6.4.43484-123eb5128 2025-08-14T21:37:13.8229188Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2025-08-14T21:37:14.0051806Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2025-08-14T21:37:14.0058581Z -- Found Threads: TRUE 2025-08-14T21:37:14.0344812Z hip VERSION: 6.4.43484 2025-08-14T21:37:14.0366008Z -- Reading ROCM version from: /opt/rocm/include/rocm-core/rocm_version.h 2025-08-14T21:37:14.0367158Z -- Content: 2025-08-14T21:37:14.0367600Z  2025-08-14T21:37:14.0367746Z ***** ROCm version from rocm_version.h **** 2025-08-14T21:37:14.0367915Z  2025-08-14T21:37:14.0368037Z ROCM_VERSION_DEV: 6.4.2 2025-08-14T21:37:14.0368173Z ROCM_VERSION_DEV_MAJOR: 6 2025-08-14T21:37:14.0368311Z ROCM_VERSION_DEV_MINOR: 4 2025-08-14T21:37:14.0373611Z ROCM_VERSION_DEV_PATCH: 2 2025-08-14T21:37:14.0373821Z ROCM_VERSION_DEV_INT: 60402 2025-08-14T21:37:14.0373983Z HIP_VERSION_MAJOR: 6 2025-08-14T21:37:14.0374125Z HIP_VERSION_MINOR: 4 2025-08-14T21:37:14.0374255Z TORCH_HIP_VERSION: 604 2025-08-14T21:37:14.0374368Z  2025-08-14T21:37:14.0374472Z ***** Library versions from cmake find_package ***** 2025-08-14T21:37:14.0374610Z  2025-08-14T21:37:14.0374769Z amd_comgr VERSION: 3.0.0 2025-08-14T21:37:14.0650489Z rocrand VERSION: 3.3.0 2025-08-14T21:37:14.0673992Z hiprand VERSION: 2.12.0 2025-08-14T21:37:14.0689955Z rocblas VERSION: 4.4.1 2025-08-14T21:37:14.0722960Z hipblas VERSION: 2.4.0 2025-08-14T21:37:14.0742279Z miopen VERSION: 3.4.0 2025-08-14T21:37:14.0758910Z hipfft VERSION: 1.0.18 2025-08-14T21:37:14.0775813Z hipsparse VERSION: 3.2.0 2025-08-14T21:37:14.0791847Z rocprim VERSION: 3.4.1 2025-08-14T21:37:14.0811949Z hipcub VERSION: 3.4.0 2025-08-14T21:37:14.0830731Z rocthrust VERSION: 3.3.0 2025-08-14T21:37:14.0847138Z hipsolver VERSION: 2.4.0 2025-08-14T21:37:14.0868474Z rocsolver VERSION: 3.28.2 2025-08-14T21:37:14.0874805Z CMake Warning at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/public/LoadHIP.cmake:175 (message): 2025-08-14T21:37:14.0875172Z Work around hiprtc cmake failure for cmake >= 4 2025-08-14T21:37:14.0875380Z Call Stack (most recent call first): 2025-08-14T21:37:14.0875928Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/Caffe2Config.cmake:74 (include) 2025-08-14T21:37:14.0876265Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:68 (find_package) 2025-08-14T21:37:14.0876573Z /var/lib/jenkins/pytorch/fbgemm/cmake/modules/PyTorchSetup.cmake:11 (find_package) 2025-08-14T21:37:14.0876779Z CMakeLists.txt:113 (include) 2025-08-14T21:37:14.0876859Z 2025-08-14T21:37:14.0876923Z  2025-08-14T21:37:14.0882814Z CMake Deprecation Warning at /opt/rocm/lib/cmake/hiprtc/hiprtc-config.cmake:21 (cmake_minimum_required): 2025-08-14T21:37:14.0883102Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-08-14T21:37:14.0883255Z CMake. 2025-08-14T21:37:14.0885115Z 2025-08-14T21:37:14.0885225Z Update the VERSION argument value. Or, use the ... syntax 2025-08-14T21:37:14.0885441Z to tell CMake that the project requires at least but has been updated 2025-08-14T21:37:14.0885624Z to work with policies introduced by or earlier. 2025-08-14T21:37:14.0885764Z Call Stack (most recent call first): 2025-08-14T21:37:14.0886002Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/public/LoadHIP.cmake:67 (find_package) 2025-08-14T21:37:14.0886376Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/public/LoadHIP.cmake:177 (find_package_and_print_version) 2025-08-14T21:37:14.0886730Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/Caffe2Config.cmake:74 (include) 2025-08-14T21:37:14.0887052Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:68 (find_package) 2025-08-14T21:37:14.0887341Z /var/lib/jenkins/pytorch/fbgemm/cmake/modules/PyTorchSetup.cmake:11 (find_package) 2025-08-14T21:37:14.0887529Z CMakeLists.txt:113 (include) 2025-08-14T21:37:14.0887763Z 2025-08-14T21:37:14.0889015Z  2025-08-14T21:37:14.0889130Z hiprtc VERSION: 6.4.43484 2025-08-14T21:37:14.0901697Z hipblaslt VERSION: 0.12.1 2025-08-14T21:37:14.1207974Z rccl VERSION: 2.22.3 2025-08-14T21:37:14.1210436Z hsa-runtime64 VERSION: 1.15.60402 2025-08-14T21:37:14.1227411Z hipsparselt VERSION: 0.2.3 2025-08-14T21:37:15.5061253Z hipblaslt is using scale pointer vec ext 2025-08-14T21:37:15.5538127Z CMake Warning at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message): 2025-08-14T21:37:15.5538419Z static library kineto_LIBRARY-NOTFOUND not found. 2025-08-14T21:37:15.5544117Z Call Stack (most recent call first): 2025-08-14T21:37:15.5544412Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:125 (append_torchlib_if_found) 2025-08-14T21:37:15.5544745Z /var/lib/jenkins/pytorch/fbgemm/cmake/modules/PyTorchSetup.cmake:11 (find_package) 2025-08-14T21:37:15.5544997Z CMakeLists.txt:113 (include) 2025-08-14T21:37:15.5545073Z 2025-08-14T21:37:15.5545136Z  2025-08-14T21:37:15.5545330Z -- Found Torch: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch.so 2025-08-14T21:37:15.5545529Z  2025-08-14T21:37:15.5545619Z  2025-08-14T21:37:15.5545751Z ================================================================================ 2025-08-14T21:37:15.5545897Z PyTorch Flags: 2025-08-14T21:37:15.5547608Z   2025-08-14T21:37:15.5547722Z TORCH_INCLUDE_DIRS: 2025-08-14T21:37:15.5547916Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:15.5548188Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:15.5548380Z   2025-08-14T21:37:15.5548476Z TORCH_LIBRARIES: 2025-08-14T21:37:15.5548582Z torch 2025-08-14T21:37:15.5548679Z torch_library 2025-08-14T21:37:15.5548865Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:15.5549030Z   2025-08-14T21:37:15.5549339Z TORCH_CUDA_OPTIONS: 2025-08-14T21:37:15.5550744Z --expt-relaxed-constexpr 2025-08-14T21:37:15.5550892Z -D__CUDA_NO_HALF_OPERATORS__ 2025-08-14T21:37:15.5551037Z -D__CUDA_NO_BFLOAT16_CONVERSIONS__ 2025-08-14T21:37:15.5551179Z -D__CUDA_NO_HALF2_OPERATORS__ 2025-08-14T21:37:15.5551335Z ================================================================================ 2025-08-14T21:37:15.5551466Z  2025-08-14T21:37:15.5551548Z  2025-08-14T21:37:15.5551629Z  2025-08-14T21:37:15.5551748Z ================================================================================ 2025-08-14T21:37:15.5551884Z CMAKE CUDA Flags 2025-08-14T21:37:15.5551986Z  2025-08-14T21:37:15.5553314Z CMAKE_CUDA_COMPILER_VERSION= 2025-08-14T21:37:15.5553484Z ================================================================================ 2025-08-14T21:37:15.5553616Z  2025-08-14T21:37:15.5553698Z  2025-08-14T21:37:15.5553780Z  2025-08-14T21:37:15.5553898Z ================================================================================ 2025-08-14T21:37:15.5554028Z NCCL Flags 2025-08-14T21:37:15.5554119Z  2025-08-14T21:37:15.5554213Z NCCL_INCLUDE_DIRS= 2025-08-14T21:37:15.5554327Z NCCL_LIBRARIES= 2025-08-14T21:37:15.5554462Z ================================================================================ 2025-08-14T21:37:15.5555606Z  2025-08-14T21:37:15.5555694Z  2025-08-14T21:37:15.5555776Z  2025-08-14T21:37:15.5555892Z ================================================================================ 2025-08-14T21:37:15.5556030Z CUDA Driver Path 2025-08-14T21:37:15.5556132Z  2025-08-14T21:37:15.5556228Z CUDA_DRIVER_LIBRARIES= 2025-08-14T21:37:15.5556372Z ================================================================================ 2025-08-14T21:37:15.5556613Z  2025-08-14T21:37:15.5556734Z Building FBGEMM for GPU arch: gfx90a;gfx942 2025-08-14T21:37:15.5557634Z HIP VERSION: 6.4.43484-123eb5128 2025-08-14T21:37:16.1646580Z -- The HIP compiler identification is Clang 19.0.0 2025-08-14T21:37:16.2433370Z -- Detecting HIP compiler ABI info 2025-08-14T21:37:16.8123419Z -- Detecting HIP compiler ABI info - done 2025-08-14T21:37:16.8237315Z -- Check for working HIP compiler: /opt/rocm/lib/llvm/bin/clang++ - skipped 2025-08-14T21:37:16.8239145Z -- Detecting HIP compile features 2025-08-14T21:37:16.8243513Z -- Detecting HIP compile features - done 2025-08-14T21:37:16.8365840Z HIP library name: amdhip64 2025-08-14T21:37:16.8369653Z CMake Deprecation Warning at /var/lib/jenkins/pytorch/fbgemm/external/hipify_torch/cmake/Hipify.cmake:3 (cmake_minimum_required): 2025-08-14T21:37:16.8370011Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-08-14T21:37:16.8370222Z CMake. 2025-08-14T21:37:16.8370274Z 2025-08-14T21:37:16.8370383Z Update the VERSION argument value. Or, use the ... syntax 2025-08-14T21:37:16.8370591Z to tell CMake that the project requires at least but has been updated 2025-08-14T21:37:16.8370780Z to work with policies introduced by or earlier. 2025-08-14T21:37:16.8370928Z Call Stack (most recent call first): 2025-08-14T21:37:16.8371179Z /var/lib/jenkins/pytorch/fbgemm/cmake/modules/RocmSetup.cmake:17 (include) 2025-08-14T21:37:16.8371361Z CMakeLists.txt:119 (include) 2025-08-14T21:37:16.8371434Z 2025-08-14T21:37:16.8374398Z  2025-08-14T21:37:16.8374506Z  2025-08-14T21:37:16.8374596Z  2025-08-14T21:37:16.8374733Z ================================================================================ 2025-08-14T21:37:16.8374881Z HIP found: TRUE 2025-08-14T21:37:16.8375003Z HIPCC compiler flags: 2025-08-14T21:37:16.8375115Z  2025-08-14T21:37:16.8375226Z -D__HIP_NO_HALF_OPERATORS__=1 2025-08-14T21:37:16.8375380Z -D__HIP_NO_BFLOAT16_CONVERSIONS__=1 2025-08-14T21:37:16.8375753Z -D__HIP_NO_HALF2_OPERATORS__=1 2025-08-14T21:37:16.8375883Z -DTORCH_USE_HIP_DSA 2025-08-14T21:37:16.8377238Z -mavx2 2025-08-14T21:37:16.8377341Z -mf16c 2025-08-14T21:37:16.8377431Z -mfma 2025-08-14T21:37:16.8377524Z -std=c++20 2025-08-14T21:37:16.8377626Z -fno-gpu-rdc 2025-08-14T21:37:16.8377753Z -Wno-defaulted-function-deleted 2025-08-14T21:37:16.8377893Z --offload-arch=gfx90a 2025-08-14T21:37:16.8378015Z --offload-arch=gfx942 2025-08-14T21:37:16.8378139Z  "-Wno-#pragma-messages"  2025-08-14T21:37:16.8378263Z  "-Wno-#warnings"  2025-08-14T21:37:16.8378386Z -fclang-abi-compat=17 2025-08-14T21:37:16.8379553Z -Wno-cuda-compat 2025-08-14T21:37:16.8379687Z -Wno-deprecated-declarations 2025-08-14T21:37:16.8379812Z -Wno-format 2025-08-14T21:37:16.8379928Z -Wno-ignored-attributes 2025-08-14T21:37:16.8380050Z -Wno-unused-result 2025-08-14T21:37:16.8380197Z ================================================================================ 2025-08-14T21:37:16.8380327Z  2025-08-14T21:37:16.8412601Z  2025-08-14T21:37:16.8413839Z  2025-08-14T21:37:16.8414110Z ================================================================================ 2025-08-14T21:37:16.8414330Z GPU CPP Library Target: asmjit (SHARED) 2025-08-14T21:37:16.8419325Z   2025-08-14T21:37:16.8419465Z CPU_SRCS: 2025-08-14T21:37:16.8419586Z  2025-08-14T21:37:16.8419701Z   2025-08-14T21:37:16.8419814Z GPU_SRCS: 2025-08-14T21:37:16.8419936Z  2025-08-14T21:37:16.8420033Z   2025-08-14T21:37:16.8420145Z CUDA_SPECIFIC_SRCS: 2025-08-14T21:37:16.8420261Z  2025-08-14T21:37:16.8420347Z   2025-08-14T21:37:16.8420450Z HIP_SPECIFIC_SRCS: 2025-08-14T21:37:16.8420845Z  2025-08-14T21:37:16.8420937Z   2025-08-14T21:37:16.8421037Z OTHER_SRCS: 2025-08-14T21:37:16.8421305Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/arm/a64assembler.cpp 2025-08-14T21:37:16.8421647Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/arm/a64builder.cpp 2025-08-14T21:37:16.8423610Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/arm/a64compiler.cpp 2025-08-14T21:37:16.8423948Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/arm/a64emithelper.cpp 2025-08-14T21:37:16.8424275Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/arm/a64formatter.cpp 2025-08-14T21:37:16.8424594Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/arm/a64func.cpp 2025-08-14T21:37:16.8424913Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/arm/a64instapi.cpp 2025-08-14T21:37:16.8425235Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/arm/a64instdb.cpp 2025-08-14T21:37:16.8425616Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/arm/a64operand.cpp 2025-08-14T21:37:16.8425960Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/arm/a64rapass.cpp 2025-08-14T21:37:16.8426279Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/arm/armformatter.cpp 2025-08-14T21:37:16.8426599Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/archtraits.cpp 2025-08-14T21:37:16.8426913Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/assembler.cpp 2025-08-14T21:37:16.8428309Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/builder.cpp 2025-08-14T21:37:16.8428642Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/codeholder.cpp 2025-08-14T21:37:16.8429073Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/codewriter.cpp 2025-08-14T21:37:16.8429413Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/compiler.cpp 2025-08-14T21:37:16.8429727Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/constpool.cpp 2025-08-14T21:37:16.8430039Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/cpuinfo.cpp 2025-08-14T21:37:16.8430352Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/emithelper.cpp 2025-08-14T21:37:16.8430664Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/emitter.cpp 2025-08-14T21:37:16.8430981Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/emitterutils.cpp 2025-08-14T21:37:16.8431303Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/environment.cpp 2025-08-14T21:37:16.8431628Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/errorhandler.cpp 2025-08-14T21:37:16.8433011Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/formatter.cpp 2025-08-14T21:37:16.8433320Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/func.cpp 2025-08-14T21:37:16.8433646Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/funcargscontext.cpp 2025-08-14T21:37:16.8433972Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/globals.cpp 2025-08-14T21:37:16.8434278Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/inst.cpp 2025-08-14T21:37:16.8434580Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/instdb.cpp 2025-08-14T21:37:16.8434898Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/jitallocator.cpp 2025-08-14T21:37:16.8435274Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/jitruntime.cpp 2025-08-14T21:37:16.8435583Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/logger.cpp 2025-08-14T21:37:16.8435892Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/operand.cpp 2025-08-14T21:37:16.8437264Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/osutils.cpp 2025-08-14T21:37:16.8437592Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/ralocal.cpp 2025-08-14T21:37:16.8437901Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/rapass.cpp 2025-08-14T21:37:16.8438220Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/rastack.cpp 2025-08-14T21:37:16.8438530Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/string.cpp 2025-08-14T21:37:16.8438854Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/support.cpp 2025-08-14T21:37:16.8439160Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/target.cpp 2025-08-14T21:37:16.8439464Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/type.cpp 2025-08-14T21:37:16.8439767Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/virtmem.cpp 2025-08-14T21:37:16.8440070Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/zone.cpp 2025-08-14T21:37:16.8440376Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/zonehash.cpp 2025-08-14T21:37:16.8442082Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/zonelist.cpp 2025-08-14T21:37:16.8442399Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/zonestack.cpp 2025-08-14T21:37:16.8442854Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/zonetree.cpp 2025-08-14T21:37:16.8443234Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/zonevector.cpp 2025-08-14T21:37:16.8443558Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/x86/x86assembler.cpp 2025-08-14T21:37:16.8443874Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/x86/x86builder.cpp 2025-08-14T21:37:16.8444187Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/x86/x86compiler.cpp 2025-08-14T21:37:16.8444505Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/x86/x86emithelper.cpp 2025-08-14T21:37:16.8444825Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/x86/x86formatter.cpp 2025-08-14T21:37:16.8445136Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/x86/x86func.cpp 2025-08-14T21:37:16.8445450Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/x86/x86instapi.cpp 2025-08-14T21:37:16.8446916Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/x86/x86instdb.cpp 2025-08-14T21:37:16.8447234Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/x86/x86operand.cpp 2025-08-14T21:37:16.8447545Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/x86/x86rapass.cpp 2025-08-14T21:37:16.8447746Z   2025-08-14T21:37:16.8447839Z CC_FLAGS: 2025-08-14T21:37:16.8447933Z  2025-08-14T21:37:16.8448017Z   2025-08-14T21:37:16.8448106Z NVCC_FLAGS: 2025-08-14T21:37:16.8448200Z  2025-08-14T21:37:16.8448283Z   2025-08-14T21:37:16.8448372Z HIPCC_FLAGS: 2025-08-14T21:37:16.8448470Z  2025-08-14T21:37:16.8448553Z   2025-08-14T21:37:16.8449580Z INCLUDE_DIRS: 2025-08-14T21:37:16.8449783Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:16.8449968Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:16.8450151Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:16.8450345Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:16.8450570Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:16.8450840Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:16.8451206Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src 2025-08-14T21:37:16.8451453Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cpuinfo/include 2025-08-14T21:37:16.8451701Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/include 2025-08-14T21:37:16.8451974Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/tools/util/include 2025-08-14T21:37:16.8454357Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/include 2025-08-14T21:37:16.8454659Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/library/include 2025-08-14T21:37:16.8454935Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/json/include 2025-08-14T21:37:16.8455108Z   2025-08-14T21:37:16.8455218Z Selected Source Files: 2025-08-14T21:37:16.8455329Z  2025-08-14T21:37:16.8455415Z   2025-08-14T21:37:16.8455514Z HIPified Source Files: 2025-08-14T21:37:16.8455623Z  2025-08-14T21:37:16.8455705Z   2025-08-14T21:37:16.8455811Z Library Dependencies: 2025-08-14T21:37:16.8456870Z torch 2025-08-14T21:37:16.8456969Z torch_library 2025-08-14T21:37:16.8457153Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:16.8457323Z   2025-08-14T21:37:16.8457416Z Output Library: 2025-08-14T21:37:16.8457523Z asmjit 2025-08-14T21:37:16.8457612Z   2025-08-14T21:37:16.8457711Z Destination Directory: 2025-08-14T21:37:16.8457876Z fbgemm_gpu 2025-08-14T21:37:16.8458013Z ================================================================================ 2025-08-14T21:37:16.8458143Z  2025-08-14T21:37:16.8459149Z  2025-08-14T21:37:16.8459232Z  2025-08-14T21:37:16.8459354Z ================================================================================ 2025-08-14T21:37:16.8459514Z GPU CPP Library Target: fbgemm (SHARED) 2025-08-14T21:37:16.8459640Z   2025-08-14T21:37:16.8459727Z CPU_SRCS: 2025-08-14T21:37:16.8459820Z  2025-08-14T21:37:16.8459902Z   2025-08-14T21:37:16.8459988Z GPU_SRCS: 2025-08-14T21:37:16.8460079Z  2025-08-14T21:37:16.8460162Z   2025-08-14T21:37:16.8461162Z CUDA_SPECIFIC_SRCS: 2025-08-14T21:37:16.8461270Z  2025-08-14T21:37:16.8461352Z   2025-08-14T21:37:16.8461448Z HIP_SPECIFIC_SRCS: 2025-08-14T21:37:16.8461552Z  2025-08-14T21:37:16.8461633Z   2025-08-14T21:37:16.8461723Z OTHER_SRCS: 2025-08-14T21:37:16.8461899Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../src/EmbeddingSpMDM.cc 2025-08-14T21:37:16.8462152Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../src/EmbeddingSpMDMNBit.cc 2025-08-14T21:37:16.8462395Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../src/QuantUtils.cc 2025-08-14T21:37:16.8462638Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../src/RefImplementations.cc 2025-08-14T21:37:16.8463954Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../src/RowWiseSparseAdagradFused.cc 2025-08-14T21:37:16.8464213Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../src/SparseAdagrad.cc 2025-08-14T21:37:16.8464442Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../src/Utils.cc 2025-08-14T21:37:16.8464685Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../src/EmbeddingSpMDMAutovec.cc 2025-08-14T21:37:16.8465000Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../src/EmbeddingStatsTracker.cc 2025-08-14T21:37:16.8465262Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../src/EmbeddingSpMDMAvx2.cc 2025-08-14T21:37:16.8465509Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../src/QuantUtilsAvx2.cc 2025-08-14T21:37:16.8465677Z   2025-08-14T21:37:16.8465765Z CC_FLAGS: 2025-08-14T21:37:16.8465857Z  2025-08-14T21:37:16.8465940Z   2025-08-14T21:37:16.8466943Z NVCC_FLAGS: 2025-08-14T21:37:16.8467038Z  2025-08-14T21:37:16.8467120Z   2025-08-14T21:37:16.8467210Z HIPCC_FLAGS: 2025-08-14T21:37:16.8467308Z  2025-08-14T21:37:16.8467389Z   2025-08-14T21:37:16.8467479Z INCLUDE_DIRS: 2025-08-14T21:37:16.8467631Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:16.8467814Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:16.8467992Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:16.8468187Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:16.8469302Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:16.8469568Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:16.8469831Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src 2025-08-14T21:37:16.8470075Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cpuinfo/include 2025-08-14T21:37:16.8470323Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/include 2025-08-14T21:37:16.8470589Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/tools/util/include 2025-08-14T21:37:16.8470870Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/include 2025-08-14T21:37:16.8471165Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/library/include 2025-08-14T21:37:16.8471439Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/json/include 2025-08-14T21:37:16.8471663Z   2025-08-14T21:37:16.8471765Z Selected Source Files: 2025-08-14T21:37:16.8472851Z  2025-08-14T21:37:16.8472936Z   2025-08-14T21:37:16.8473035Z HIPified Source Files: 2025-08-14T21:37:16.8473144Z  2025-08-14T21:37:16.8473227Z   2025-08-14T21:37:16.8473326Z Library Dependencies: 2025-08-14T21:37:16.8473438Z torch 2025-08-14T21:37:16.8473534Z torch_library 2025-08-14T21:37:16.8473711Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:16.8473880Z asmjit 2025-08-14T21:37:16.8473973Z   2025-08-14T21:37:16.8474985Z Output Library: 2025-08-14T21:37:16.8475090Z fbgemm 2025-08-14T21:37:16.8475180Z   2025-08-14T21:37:16.8475278Z Destination Directory: 2025-08-14T21:37:16.8475393Z fbgemm_gpu 2025-08-14T21:37:16.8475527Z ================================================================================ 2025-08-14T21:37:16.8475655Z  2025-08-14T21:37:16.8475740Z  2025-08-14T21:37:16.8475823Z  2025-08-14T21:37:16.8475943Z ================================================================================ 2025-08-14T21:37:16.8476095Z Running code generation script ... 2025-08-14T21:37:16.8477361Z /opt/conda/envs/py_3.10/bin/python /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/genscript/generate_backward_split.py --opensource --is_rocm 2025-08-14T21:37:16.8477686Z ================================================================================ 2025-08-14T21:37:16.8477812Z  2025-08-14T21:37:17.1139545Z [ARGS PARSE] Parsed arguments: Namespace(install_dir='.', is_fbcode=False, is_rocm=True) 2025-08-14T21:37:17.1139941Z [GENERAATE BACKWARD SPLIT]: ['/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/genscript/generate_backward_split.py', '--opensource', '--is_rocm'] 2025-08-14T21:37:17.1140409Z Written: gen_embedding_backward_dense_split_weighted_vbe_cuda.cu 2025-08-14T21:37:17.1140639Z Written: gen_embedding_backward_dense_split_weighted_cuda.cu 2025-08-14T21:37:17.1140840Z Written: gen_embedding_backward_dense_split_unweighted_nobag_cuda.cu 2025-08-14T21:37:17.1141040Z Written: gen_embedding_backward_dense_split_unweighted_vbe_cuda.cu 2025-08-14T21:37:17.1144272Z Written: gen_embedding_backward_dense_split_unweighted_cuda.cu 2025-08-14T21:37:17.1144482Z Written: gen_embedding_backward_dense_split_weighted_vbe_meta.cpp 2025-08-14T21:37:17.1144664Z Written: gen_embedding_backward_dense_split_weighted_meta.cpp 2025-08-14T21:37:17.1144864Z Written: gen_embedding_backward_dense_split_unweighted_nobag_meta.cpp 2025-08-14T21:37:17.1145070Z Written: gen_embedding_backward_dense_split_unweighted_vbe_meta.cpp 2025-08-14T21:37:17.1145263Z Written: gen_embedding_backward_dense_split_unweighted_meta.cpp 2025-08-14T21:37:17.1145450Z Written: gen_embedding_backward_dense_split_weighted_vbe_kernel_cta.cu 2025-08-14T21:37:17.1145651Z Written: gen_embedding_backward_dense_split_weighted_kernel_cta.cu 2025-08-14T21:37:17.1145850Z Written: gen_embedding_backward_dense_split_unweighted_nobag_kernel_cta.cu 2025-08-14T21:37:17.1146056Z Written: gen_embedding_backward_dense_split_unweighted_vbe_kernel_cta.cu 2025-08-14T21:37:17.1146252Z Written: gen_embedding_backward_dense_split_unweighted_kernel_cta.cu 2025-08-14T21:37:17.1146448Z Written: gen_embedding_backward_dense_split_weighted_vbe_kernel_warp.cu 2025-08-14T21:37:17.1146642Z Written: gen_embedding_backward_dense_split_weighted_kernel_warp.cu 2025-08-14T21:37:17.1146844Z Written: gen_embedding_backward_dense_split_unweighted_nobag_kernel_warp.cu 2025-08-14T21:37:17.1147055Z Written: gen_embedding_backward_dense_split_unweighted_vbe_kernel_warp.cu 2025-08-14T21:37:17.1147257Z Written: gen_embedding_backward_dense_split_unweighted_kernel_warp.cu 2025-08-14T21:37:17.1147448Z Written: gen_embedding_optimizer_dense_split_device_kernel.cuh 2025-08-14T21:37:17.1147621Z Written: gen_embedding_backward_split_dense.cpp 2025-08-14T21:37:17.1147848Z Written: gen_embedding_backward_dense_split_cpu.cpp 2025-08-14T21:37:17.1148015Z Written: gen_embedding_backward_adagrad_split_weighted_cuda.cu 2025-08-14T21:37:17.1148208Z Written: gen_embedding_backward_adagrad_split_unweighted_nobag_cuda.cu 2025-08-14T21:37:17.1148402Z Written: gen_embedding_backward_adagrad_split_unweighted_cuda.cu 2025-08-14T21:37:17.1148590Z Written: gen_embedding_backward_adagrad_split_weighted_meta.cpp 2025-08-14T21:37:17.1148788Z Written: gen_embedding_backward_adagrad_split_unweighted_nobag_meta.cpp 2025-08-14T21:37:17.1148987Z Written: gen_embedding_backward_adagrad_split_unweighted_meta.cpp 2025-08-14T21:37:17.1149178Z Written: gen_embedding_backward_adagrad_split_weighted_kernel_cta.cu 2025-08-14T21:37:17.1150898Z Written: gen_embedding_backward_adagrad_split_unweighted_nobag_kernel_cta.cu 2025-08-14T21:37:17.1151105Z Written: gen_embedding_backward_adagrad_split_unweighted_kernel_cta.cu 2025-08-14T21:37:17.1151310Z Written: gen_embedding_backward_adagrad_split_weighted_kernel_warp.cu 2025-08-14T21:37:17.1151520Z Written: gen_embedding_backward_adagrad_split_unweighted_nobag_kernel_warp.cu 2025-08-14T21:37:17.1151726Z Written: gen_embedding_backward_adagrad_split_unweighted_kernel_warp.cu 2025-08-14T21:37:17.1151912Z Written: gen_embedding_optimizer_adagrad_split_device_kernel.cuh 2025-08-14T21:37:17.1152075Z Written: gen_embedding_backward_split_adagrad.cpp 2025-08-14T21:37:17.1152222Z Written: gen_embedding_split_adagrad_pt2_autograd.cpp 2025-08-14T21:37:17.1152391Z Written: gen_embedding_backward_split_adagrad_pt2_cuda_wrapper.cpp 2025-08-14T21:37:17.1152548Z Written: lookup_adagrad.py 2025-08-14T21:37:17.1153858Z Written: gen_embedding_backward_adagrad_split_cpu.cpp 2025-08-14T21:37:17.1154018Z Written: gen_embedding_backward_split_adagrad_cpu.cpp 2025-08-14T21:37:17.1154185Z Written: gen_embedding_backward_split_adagrad_pt2_cpu_wrapper.cpp 2025-08-14T21:37:17.1154424Z Written: gen_embedding_backward_adam_split_weighted_vbe_cuda.cu 2025-08-14T21:37:17.1154600Z Written: gen_embedding_backward_adam_split_weighted_cuda.cu 2025-08-14T21:37:17.1154776Z Written: gen_embedding_backward_adam_split_unweighted_nobag_cuda.cu 2025-08-14T21:37:17.1154958Z Written: gen_embedding_backward_adam_split_unweighted_vbe_cuda.cu 2025-08-14T21:37:17.1155135Z Written: gen_embedding_backward_adam_split_unweighted_cuda.cu 2025-08-14T21:37:17.1155309Z Written: gen_embedding_backward_adam_split_weighted_vbe_meta.cpp 2025-08-14T21:37:17.1155480Z Written: gen_embedding_backward_adam_split_weighted_meta.cpp 2025-08-14T21:37:17.1155657Z Written: gen_embedding_backward_adam_split_unweighted_nobag_meta.cpp 2025-08-14T21:37:17.1156818Z Written: gen_embedding_backward_adam_split_unweighted_vbe_meta.cpp 2025-08-14T21:37:17.1157004Z Written: gen_embedding_backward_adam_split_unweighted_meta.cpp 2025-08-14T21:37:17.1157185Z Written: gen_embedding_backward_adam_split_weighted_vbe_kernel_cta.cu 2025-08-14T21:37:17.1157378Z Written: gen_embedding_backward_adam_split_weighted_kernel_cta.cu 2025-08-14T21:37:17.1157570Z Written: gen_embedding_backward_adam_split_unweighted_nobag_kernel_cta.cu 2025-08-14T21:37:17.1157770Z Written: gen_embedding_backward_adam_split_unweighted_vbe_kernel_cta.cu 2025-08-14T21:37:17.1157960Z Written: gen_embedding_backward_adam_split_unweighted_kernel_cta.cu 2025-08-14T21:37:17.1158149Z Written: gen_embedding_backward_adam_split_weighted_vbe_kernel_warp.cu 2025-08-14T21:37:17.1158335Z Written: gen_embedding_backward_adam_split_weighted_kernel_warp.cu 2025-08-14T21:37:17.1158528Z Written: gen_embedding_backward_adam_split_unweighted_nobag_kernel_warp.cu 2025-08-14T21:37:17.1158729Z Written: gen_embedding_backward_adam_split_unweighted_vbe_kernel_warp.cu 2025-08-14T21:37:17.1159852Z Written: gen_embedding_backward_adam_split_unweighted_kernel_warp.cu 2025-08-14T21:37:17.1160037Z Written: gen_embedding_optimizer_adam_split_device_kernel.cuh 2025-08-14T21:37:17.1160194Z Written: gen_embedding_backward_split_adam.cpp 2025-08-14T21:37:17.1160340Z Written: gen_embedding_split_adam_pt2_autograd.cpp 2025-08-14T21:37:17.1160546Z Written: gen_embedding_backward_split_adam_pt2_cuda_wrapper.cpp 2025-08-14T21:37:17.1160694Z Written: lookup_adam.py 2025-08-14T21:37:17.1160811Z Written: gen_embedding_backward_split_adam_cpu.cpp 2025-08-14T21:37:17.1160970Z Written: gen_embedding_backward_split_adam_pt2_cpu_wrapper.cpp 2025-08-14T21:37:17.1161141Z Written: gen_embedding_backward_lamb_split_weighted_cuda.cu 2025-08-14T21:37:17.1161316Z Written: gen_embedding_backward_lamb_split_unweighted_nobag_cuda.cu 2025-08-14T21:37:17.1161508Z Written: gen_embedding_backward_lamb_split_unweighted_cuda.cu 2025-08-14T21:37:17.1162621Z Written: gen_embedding_backward_lamb_split_weighted_meta.cpp 2025-08-14T21:37:17.1162891Z Written: gen_embedding_backward_lamb_split_unweighted_nobag_meta.cpp 2025-08-14T21:37:17.1163071Z Written: gen_embedding_backward_lamb_split_unweighted_meta.cpp 2025-08-14T21:37:17.1163246Z Written: gen_embedding_backward_lamb_split_weighted_kernel_cta.cu 2025-08-14T21:37:17.1163447Z Written: gen_embedding_backward_lamb_split_unweighted_nobag_kernel_cta.cu 2025-08-14T21:37:17.1163639Z Written: gen_embedding_backward_lamb_split_unweighted_kernel_cta.cu 2025-08-14T21:37:17.1163824Z Written: gen_embedding_backward_lamb_split_weighted_kernel_warp.cu 2025-08-14T21:37:17.1164016Z Written: gen_embedding_backward_lamb_split_unweighted_nobag_kernel_warp.cu 2025-08-14T21:37:17.1164211Z Written: gen_embedding_backward_lamb_split_unweighted_kernel_warp.cu 2025-08-14T21:37:17.1164388Z Written: gen_embedding_optimizer_lamb_split_device_kernel.cuh 2025-08-14T21:37:17.1164543Z Written: gen_embedding_backward_split_lamb.cpp 2025-08-14T21:37:17.1165630Z Written: gen_embedding_split_lamb_pt2_autograd.cpp 2025-08-14T21:37:17.1165797Z Written: gen_embedding_backward_split_lamb_pt2_cuda_wrapper.cpp 2025-08-14T21:37:17.1165944Z Written: lookup_lamb.py 2025-08-14T21:37:17.1166059Z Written: gen_embedding_backward_split_lamb_cpu.cpp 2025-08-14T21:37:17.1166269Z Written: gen_embedding_backward_split_lamb_pt2_cpu_wrapper.cpp 2025-08-14T21:37:17.1166446Z Written: gen_embedding_backward_lars_sgd_split_weighted_cuda.cu 2025-08-14T21:37:17.1166631Z Written: gen_embedding_backward_lars_sgd_split_unweighted_nobag_cuda.cu 2025-08-14T21:37:17.1166818Z Written: gen_embedding_backward_lars_sgd_split_unweighted_cuda.cu 2025-08-14T21:37:17.1166997Z Written: gen_embedding_backward_lars_sgd_split_weighted_meta.cpp 2025-08-14T21:37:17.1167186Z Written: gen_embedding_backward_lars_sgd_split_unweighted_nobag_meta.cpp 2025-08-14T21:37:17.1167376Z Written: gen_embedding_backward_lars_sgd_split_unweighted_meta.cpp 2025-08-14T21:37:17.1168484Z Written: gen_embedding_backward_lars_sgd_split_weighted_kernel_cta.cu 2025-08-14T21:37:17.1168690Z Written: gen_embedding_backward_lars_sgd_split_unweighted_nobag_kernel_cta.cu 2025-08-14T21:37:17.1168898Z Written: gen_embedding_backward_lars_sgd_split_unweighted_kernel_cta.cu 2025-08-14T21:37:17.1169093Z Written: gen_embedding_backward_lars_sgd_split_weighted_kernel_warp.cu 2025-08-14T21:37:17.1169302Z Written: gen_embedding_backward_lars_sgd_split_unweighted_nobag_kernel_warp.cu 2025-08-14T21:37:17.1169509Z Written: gen_embedding_backward_lars_sgd_split_unweighted_kernel_warp.cu 2025-08-14T21:37:17.1169697Z Written: gen_embedding_optimizer_lars_sgd_split_device_kernel.cuh 2025-08-14T21:37:17.1169859Z Written: gen_embedding_backward_split_lars_sgd.cpp 2025-08-14T21:37:17.1170006Z Written: gen_embedding_split_lars_sgd_pt2_autograd.cpp 2025-08-14T21:37:17.1170175Z Written: gen_embedding_backward_split_lars_sgd_pt2_cuda_wrapper.cpp 2025-08-14T21:37:17.1170329Z Written: lookup_lars_sgd.py 2025-08-14T21:37:17.1171450Z Written: gen_embedding_backward_split_lars_sgd_cpu.cpp 2025-08-14T21:37:17.1171622Z Written: gen_embedding_backward_split_lars_sgd_pt2_cpu_wrapper.cpp 2025-08-14T21:37:17.1171816Z Written: gen_embedding_backward_partial_rowwise_adam_ssd_weighted_cuda.cu 2025-08-14T21:37:17.1172022Z Written: gen_embedding_backward_partial_rowwise_adam_split_weighted_cuda.cu 2025-08-14T21:37:17.1172288Z Written: gen_embedding_backward_partial_rowwise_adam_ssd_unweighted_nobag_cuda.cu 2025-08-14T21:37:17.1172514Z Written: gen_embedding_backward_partial_rowwise_adam_split_unweighted_nobag_cuda.cu 2025-08-14T21:37:17.1172830Z Written: gen_embedding_backward_partial_rowwise_adam_ssd_unweighted_cuda.cu 2025-08-14T21:37:17.1173038Z Written: gen_embedding_backward_partial_rowwise_adam_split_unweighted_cuda.cu 2025-08-14T21:37:17.1173243Z Written: gen_embedding_backward_partial_rowwise_adam_ssd_weighted_meta.cpp 2025-08-14T21:37:17.1173448Z Written: gen_embedding_backward_partial_rowwise_adam_split_weighted_meta.cpp 2025-08-14T21:37:17.1173664Z Written: gen_embedding_backward_partial_rowwise_adam_ssd_unweighted_nobag_meta.cpp 2025-08-14T21:37:17.1174878Z Written: gen_embedding_backward_partial_rowwise_adam_split_unweighted_nobag_meta.cpp 2025-08-14T21:37:17.1175099Z Written: gen_embedding_backward_partial_rowwise_adam_ssd_unweighted_meta.cpp 2025-08-14T21:37:17.1175313Z Written: gen_embedding_backward_partial_rowwise_adam_split_unweighted_meta.cpp 2025-08-14T21:37:17.1175533Z Written: gen_embedding_backward_partial_rowwise_adam_ssd_weighted_kernel_cta.cu 2025-08-14T21:37:17.2938976Z Written: gen_embedding_backward_partial_rowwise_adam_split_weighted_kernel_cta.cu 2025-08-14T21:37:17.2940575Z Written: gen_embedding_backward_partial_rowwise_adam_ssd_unweighted_nobag_kernel_cta.cu 2025-08-14T21:37:17.2941367Z Written: gen_embedding_backward_partial_rowwise_adam_split_unweighted_nobag_kernel_cta.cu 2025-08-14T21:37:17.2942036Z Written: gen_embedding_backward_partial_rowwise_adam_ssd_unweighted_kernel_cta.cu 2025-08-14T21:37:17.2942674Z Written: gen_embedding_backward_partial_rowwise_adam_split_unweighted_kernel_cta.cu 2025-08-14T21:37:17.2943449Z Written: gen_embedding_backward_partial_rowwise_adam_ssd_weighted_kernel_warp.cu 2025-08-14T21:37:17.2944076Z Written: gen_embedding_backward_partial_rowwise_adam_split_weighted_kernel_warp.cu 2025-08-14T21:37:17.2945332Z Written: gen_embedding_backward_partial_rowwise_adam_ssd_unweighted_nobag_kernel_warp.cu 2025-08-14T21:37:17.2946048Z Written: gen_embedding_backward_partial_rowwise_adam_split_unweighted_nobag_kernel_warp.cu 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gen_embedding_backward_partial_rowwise_lamb_split_unweighted_meta.cpp 2025-08-14T21:37:17.2960732Z Written: gen_embedding_backward_partial_rowwise_lamb_split_weighted_kernel_cta.cu 2025-08-14T21:37:17.2961045Z Written: gen_embedding_backward_partial_rowwise_lamb_split_unweighted_nobag_kernel_cta.cu 2025-08-14T21:37:17.2961369Z Written: gen_embedding_backward_partial_rowwise_lamb_split_unweighted_kernel_cta.cu 2025-08-14T21:37:17.2961675Z Written: gen_embedding_backward_partial_rowwise_lamb_split_weighted_kernel_warp.cu 2025-08-14T21:37:17.2962003Z Written: gen_embedding_backward_partial_rowwise_lamb_split_unweighted_nobag_kernel_warp.cu 2025-08-14T21:37:17.2962323Z Written: gen_embedding_backward_partial_rowwise_lamb_split_unweighted_kernel_warp.cu 2025-08-14T21:37:17.2962624Z Written: gen_embedding_optimizer_partial_rowwise_lamb_split_device_kernel.cuh 2025-08-14T21:37:17.2962977Z Written: gen_embedding_backward_split_partial_rowwise_lamb.cpp 2025-08-14T21:37:17.2963225Z Written: 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2025-08-14T21:37:17.3396086Z Written: gen_embedding_backward_split_approx_sgd_pt2_cpu_wrapper.cpp 2025-08-14T21:37:17.3396264Z Written: gen_embedding_backward_none_split_weighted_cuda.cu 2025-08-14T21:37:17.3396438Z Written: gen_embedding_backward_none_split_unweighted_nobag_cuda.cu 2025-08-14T21:37:17.3396616Z Written: gen_embedding_backward_none_split_unweighted_cuda.cu 2025-08-14T21:37:17.3396784Z Written: gen_embedding_backward_none_split_weighted_meta.cpp 2025-08-14T21:37:17.3396960Z Written: gen_embedding_backward_none_split_unweighted_nobag_meta.cpp 2025-08-14T21:37:17.3398125Z Written: gen_embedding_backward_none_split_unweighted_meta.cpp 2025-08-14T21:37:17.3398305Z Written: gen_embedding_backward_none_split_weighted_kernel_cta.cu 2025-08-14T21:37:17.3398495Z Written: gen_embedding_backward_none_split_unweighted_nobag_kernel_cta.cu 2025-08-14T21:37:17.3398686Z Written: gen_embedding_backward_none_split_unweighted_kernel_cta.cu 2025-08-14T21:37:17.3398868Z Written: gen_embedding_backward_none_split_weighted_kernel_warp.cu 2025-08-14T21:37:17.3399058Z Written: gen_embedding_backward_none_split_unweighted_nobag_kernel_warp.cu 2025-08-14T21:37:17.3399250Z Written: gen_embedding_backward_none_split_unweighted_kernel_warp.cu 2025-08-14T21:37:17.3399426Z Written: gen_embedding_optimizer_none_split_device_kernel.cuh 2025-08-14T21:37:17.3399579Z Written: gen_embedding_backward_split_none.cpp 2025-08-14T21:37:17.3399716Z Written: gen_embedding_split_none_pt2_autograd.cpp 2025-08-14T21:37:17.3399875Z Written: gen_embedding_backward_split_none_pt2_cuda_wrapper.cpp 2025-08-14T21:37:17.3400949Z Written: lookup_none.py 2025-08-14T21:37:17.3401067Z Written: gen_embedding_backward_split_none_cpu.cpp 2025-08-14T21:37:17.3401229Z Written: gen_embedding_backward_split_none_pt2_cpu_wrapper.cpp 2025-08-14T21:37:17.3401410Z Written: gen_embedding_backward_split_weighted_device_kernel_hip.hip 2025-08-14T21:37:17.3528496Z Written: gen_embedding_backward_split_unweighted_nobag_device_kernel_hip.hip 2025-08-14T21:37:17.3530313Z Written: gen_embedding_backward_split_unweighted_device_kernel_hip.hip 2025-08-14T21:37:17.3530989Z Written: gen_embedding_backward_ssd_weighted_vbe_device_kernel.cuh 2025-08-14T21:37:17.3531637Z Written: gen_embedding_backward_split_weighted_vbe_device_kernel.cuh 2025-08-14T21:37:17.3532149Z Written: gen_embedding_backward_ssd_weighted_device_kernel.cuh 2025-08-14T21:37:17.3532644Z Written: gen_embedding_backward_split_weighted_device_kernel.cuh 2025-08-14T21:37:17.3540076Z Written: gen_embedding_backward_ssd_unweighted_nobag_device_kernel.cuh 2025-08-14T21:37:17.3540387Z Written: gen_embedding_backward_split_unweighted_nobag_device_kernel.cuh 2025-08-14T21:37:17.3541038Z Written: gen_embedding_backward_ssd_unweighted_vbe_device_kernel.cuh 2025-08-14T21:37:17.3541300Z Written: gen_embedding_backward_split_unweighted_vbe_device_kernel.cuh 2025-08-14T21:37:17.3541570Z Written: gen_embedding_backward_ssd_unweighted_device_kernel.cuh 2025-08-14T21:37:17.3541832Z Written: gen_embedding_backward_split_unweighted_device_kernel.cuh 2025-08-14T21:37:17.3542077Z Written: gen_embedding_backward_split_common_device_kernel.cuh 2025-08-14T21:37:17.3542319Z Written: gen_embedding_backward_split_grad_embedding_ops.cu 2025-08-14T21:37:17.3542563Z Written: gen_embedding_backward_dense_indice_weights_codegen_cuda.cu 2025-08-14T21:37:17.3542940Z Written: gen_embedding_backward_ssd_indice_weights_codegen_cuda.cu 2025-08-14T21:37:17.3543192Z Written: gen_embedding_backward_split_indice_weights_codegen_cuda.cu 2025-08-14T21:37:17.3545130Z Written: pt2_arg_utils_ssd.h 2025-08-14T21:37:17.3545287Z Written: pt2_arg_utils.h 2025-08-14T21:37:17.3545429Z Written: __init__.py 2025-08-14T21:37:17.3545558Z Written: lookup_args_ssd.py 2025-08-14T21:37:17.3545711Z Written: lookup_args.py 2025-08-14T21:37:17.3605769Z  2025-08-14T21:37:17.3605880Z  2025-08-14T21:37:17.3606072Z ================================================================================ 2025-08-14T21:37:17.3606264Z Running code generation script ... 2025-08-14T21:37:17.3606673Z /opt/conda/envs/py_3.10/bin/python /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/genscript/generate_embedding_optimizer.py --opensource --is_rocm 2025-08-14T21:37:17.3607035Z ================================================================================ 2025-08-14T21:37:17.3609430Z  2025-08-14T21:37:17.4160014Z [ARGS PARSE] Parsed arguments: Namespace(install_dir='.', is_fbcode=False, is_rocm=True) 2025-08-14T21:37:17.4161053Z [GENERATE OPTIMIZERS]: ['/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/genscript/generate_embedding_optimizer.py', '--opensource', '--is_rocm'] 2025-08-14T21:37:17.4162255Z Written: gen_embedding_optimizer_rowwise_adagrad_split_cuda.cu 2025-08-14T21:37:17.4162996Z Written: gen_embedding_optimizer_rowwise_adagrad_split_kernel.cu 2025-08-14T21:37:17.4163494Z Written: gen_embedding_optimizer_rowwise_adagrad_split.cpp 2025-08-14T21:37:17.4164009Z Written: gen_embedding_optimizer_rowwise_adagrad_split_device_kernel.cuh 2025-08-14T21:37:17.4164518Z Written: split_embedding_optimizer_rowwise_adagrad.py 2025-08-14T21:37:17.4164902Z Written: optimizer_args.py 2025-08-14T21:37:17.4203728Z  2025-08-14T21:37:17.4203850Z  2025-08-14T21:37:17.4204402Z ================================================================================ 2025-08-14T21:37:17.4208124Z Running code generation script ... 2025-08-14T21:37:17.4208787Z /opt/conda/envs/py_3.10/bin/python /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/genscript/generate_forward_quantized.py --opensource --is_rocm 2025-08-14T21:37:17.4209305Z ================================================================================ 2025-08-14T21:37:17.4209535Z  2025-08-14T21:37:17.4824104Z [ARGS PARSE] Parsed arguments: Namespace(install_dir='.', is_fbcode=False, is_rocm=True) 2025-08-14T21:37:17.4825179Z [GENERATE FORWARD QUANTIZED]: ['/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/genscript/generate_forward_quantized.py', '--opensource', '--is_rocm'] 2025-08-14T21:37:17.4826167Z Written: gen_embedding_forward_quantized_split_nbit_kernel_weighted_fp32_codegen_cuda.cu 2025-08-14T21:37:17.4826873Z Written: gen_embedding_forward_quantized_split_nbit_kernel_weighted_fp16_codegen_cuda.cu 2025-08-14T21:37:17.4827555Z Written: gen_embedding_forward_quantized_split_nbit_kernel_weighted_fp8_codegen_cuda.cu 2025-08-14T21:37:17.4828221Z Written: gen_embedding_forward_quantized_split_nbit_kernel_weighted_int8_codegen_cuda.cu 2025-08-14T21:37:17.4828547Z Written: gen_embedding_forward_quantized_split_nbit_kernel_weighted_int4_codegen_cuda.cu 2025-08-14T21:37:17.4831473Z Written: gen_embedding_forward_quantized_split_nbit_kernel_weighted_int2_codegen_cuda.cu 2025-08-14T21:37:17.4831981Z Written: gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_fp32_codegen_cuda.cu 2025-08-14T21:37:17.4832315Z Written: gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_fp16_codegen_cuda.cu 2025-08-14T21:37:17.4832651Z Written: gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_fp8_codegen_cuda.cu 2025-08-14T21:37:17.4833077Z Written: gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_int8_codegen_cuda.cu 2025-08-14T21:37:17.4833403Z Written: gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_int4_codegen_cuda.cu 2025-08-14T21:37:17.4833722Z Written: gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_int2_codegen_cuda.cu 2025-08-14T21:37:17.4834036Z Written: gen_embedding_forward_quantized_split_nbit_kernel_unweighted_fp32_codegen_cuda.cu 2025-08-14T21:37:17.4834348Z Written: gen_embedding_forward_quantized_split_nbit_kernel_unweighted_fp16_codegen_cuda.cu 2025-08-14T21:37:17.4834656Z Written: gen_embedding_forward_quantized_split_nbit_kernel_unweighted_fp8_codegen_cuda.cu 2025-08-14T21:37:17.4834963Z Written: gen_embedding_forward_quantized_split_nbit_kernel_unweighted_int8_codegen_cuda.cu 2025-08-14T21:37:17.4836940Z Written: gen_embedding_forward_quantized_split_nbit_kernel_unweighted_int4_codegen_cuda.cu 2025-08-14T21:37:17.4837247Z Written: gen_embedding_forward_quantized_split_nbit_kernel_unweighted_int2_codegen_cuda.cu 2025-08-14T21:37:17.4837538Z Written: gen_embedding_forward_quantized_split_nbit_host_weighted_codegen_cuda.cu 2025-08-14T21:37:17.4837830Z Written: gen_embedding_forward_quantized_split_nbit_host_unweighted_nobag_codegen_cuda.cu 2025-08-14T21:37:17.4838123Z Written: gen_embedding_forward_quantized_split_nbit_host_unweighted_codegen_cuda.cu 2025-08-14T21:37:17.4838334Z Written: gen_embedding_forward_quantized_weighted_codegen_cpu.cpp 2025-08-14T21:37:17.4838637Z Written: gen_embedding_forward_quantized_unweighted_codegen_cpu.cpp 2025-08-14T21:37:17.4868346Z  2025-08-14T21:37:17.4868657Z  2025-08-14T21:37:17.4869647Z ================================================================================ 2025-08-14T21:37:17.4875536Z Running code generation script ... 2025-08-14T21:37:17.4876162Z /opt/conda/envs/py_3.10/bin/python /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/genscript/generate_forward_split.py --opensource --is_rocm 2025-08-14T21:37:17.4876719Z ================================================================================ 2025-08-14T21:37:17.4876952Z  2025-08-14T21:37:17.6403474Z [ARGS PARSE] Parsed arguments: Namespace(install_dir='.', is_fbcode=False, is_rocm=True) 2025-08-14T21:37:17.6404527Z [GENERATE FORWARD SPLIT]: ['/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/genscript/generate_forward_split.py', '--opensource', '--is_rocm'] 2025-08-14T21:37:17.6405438Z Written: gen_embedding_forward_dense_weighted_vbe_codegen_cuda.cu 2025-08-14T21:37:17.6405982Z Written: gen_embedding_forward_dense_weighted_codegen_cuda.cu 2025-08-14T21:37:17.6406493Z Written: gen_embedding_forward_dense_unweighted_vbe_codegen_cuda.cu 2025-08-14T21:37:17.6406979Z Written: gen_embedding_forward_dense_unweighted_codegen_cuda.cu 2025-08-14T21:37:17.6407317Z Written: gen_embedding_forward_ssd_weighted_vbe_codegen_cuda.cu 2025-08-14T21:37:17.6413698Z Written: gen_embedding_forward_split_weighted_vbe_codegen_cuda.cu 2025-08-14T21:37:17.6414066Z Written: gen_embedding_forward_ssd_weighted_codegen_cuda.cu 2025-08-14T21:37:17.6414390Z Written: gen_embedding_forward_split_weighted_codegen_cuda.cu 2025-08-14T21:37:17.6414717Z Written: gen_embedding_forward_ssd_unweighted_vbe_codegen_cuda.cu 2025-08-14T21:37:17.6415065Z Written: gen_embedding_forward_split_unweighted_vbe_codegen_cuda.cu 2025-08-14T21:37:17.6415407Z Written: gen_embedding_forward_ssd_unweighted_codegen_cuda.cu 2025-08-14T21:37:17.6415730Z Written: gen_embedding_forward_split_unweighted_codegen_cuda.cu 2025-08-14T21:37:17.6416420Z Written: gen_embedding_forward_split_weighted_vbe_gwd_codegen_cuda.cu 2025-08-14T21:37:17.6416762Z Written: gen_embedding_forward_split_weighted_gwd_codegen_cuda.cu 2025-08-14T21:37:17.6417109Z Written: gen_embedding_forward_split_unweighted_vbe_gwd_codegen_cuda.cu 2025-08-14T21:37:17.6417428Z Written: gen_embedding_forward_split_unweighted_gwd_codegen_cuda.cu 2025-08-14T21:37:17.6419484Z Written: gen_embedding_forward_dense_weighted_vbe_codegen_meta.cpp 2025-08-14T21:37:17.6419740Z Written: gen_embedding_forward_dense_weighted_codegen_meta.cpp 2025-08-14T21:37:17.6419991Z Written: gen_embedding_forward_dense_unweighted_vbe_codegen_meta.cpp 2025-08-14T21:37:17.6420243Z Written: gen_embedding_forward_dense_unweighted_codegen_meta.cpp 2025-08-14T21:37:17.6420479Z Written: gen_embedding_forward_ssd_weighted_vbe_codegen_meta.cpp 2025-08-14T21:37:17.6420715Z Written: gen_embedding_forward_split_weighted_vbe_codegen_meta.cpp 2025-08-14T21:37:17.6420960Z Written: gen_embedding_forward_ssd_weighted_codegen_meta.cpp 2025-08-14T21:37:17.6421199Z Written: gen_embedding_forward_split_weighted_codegen_meta.cpp 2025-08-14T21:37:17.6421432Z Written: gen_embedding_forward_ssd_unweighted_vbe_codegen_meta.cpp 2025-08-14T21:37:17.6421683Z Written: gen_embedding_forward_split_unweighted_vbe_codegen_meta.cpp 2025-08-14T21:37:17.6421936Z Written: gen_embedding_forward_ssd_unweighted_codegen_meta.cpp 2025-08-14T21:37:17.6422176Z Written: gen_embedding_forward_split_unweighted_codegen_meta.cpp 2025-08-14T21:37:17.6424191Z Written: gen_embedding_forward_dense_weighted_vbe_kernel.cu 2025-08-14T21:37:17.6424421Z Written: gen_embedding_forward_dense_weighted_kernel.cu 2025-08-14T21:37:17.6424643Z Written: gen_embedding_forward_dense_unweighted_nobag_kernel.cu 2025-08-14T21:37:17.6424872Z Written: gen_embedding_forward_dense_unweighted_vbe_kernel.cu 2025-08-14T21:37:17.6425100Z Written: gen_embedding_forward_dense_unweighted_kernel.cu 2025-08-14T21:37:17.6425454Z Written: gen_embedding_forward_ssd_weighted_vbe_kernel.cu 2025-08-14T21:37:17.6425672Z Written: gen_embedding_forward_split_weighted_vbe_kernel.cu 2025-08-14T21:37:17.6425887Z Written: gen_embedding_forward_ssd_weighted_kernel.cu 2025-08-14T21:37:17.6426094Z Written: gen_embedding_forward_split_weighted_kernel.cu 2025-08-14T21:37:17.6426315Z Written: gen_embedding_forward_ssd_unweighted_nobag_kernel.cu 2025-08-14T21:37:17.6426544Z Written: gen_embedding_forward_split_unweighted_nobag_kernel.cu 2025-08-14T21:37:17.6426775Z Written: gen_embedding_forward_ssd_unweighted_vbe_kernel.cu 2025-08-14T21:37:17.6428187Z Written: gen_embedding_forward_split_unweighted_vbe_kernel.cu 2025-08-14T21:37:17.6428359Z Written: gen_embedding_forward_ssd_unweighted_kernel.cu 2025-08-14T21:37:17.6428529Z Written: gen_embedding_forward_split_unweighted_kernel.cu 2025-08-14T21:37:17.6428706Z Written: gen_embedding_forward_split_weighted_vbe_gwd_kernel.cu 2025-08-14T21:37:17.6428887Z Written: gen_embedding_forward_split_weighted_gwd_kernel.cu 2025-08-14T21:37:17.6429073Z Written: gen_embedding_forward_split_unweighted_vbe_gwd_kernel.cu 2025-08-14T21:37:17.6429262Z Written: gen_embedding_forward_split_unweighted_gwd_kernel.cu 2025-08-14T21:37:17.6429441Z Written: gen_embedding_forward_split_weighted_v2_kernel.cu 2025-08-14T21:37:17.6429618Z Written: gen_embedding_forward_split_unweighted_v2_kernel.cu 2025-08-14T21:37:17.6429810Z Written: gen_embedding_forward_dense_unweighted_nobag_kernel_small.cu 2025-08-14T21:37:17.6430013Z Written: gen_embedding_forward_dense_unweighted_nobag_kernel_small.cu 2025-08-14T21:37:17.6431215Z Written: gen_embedding_forward_ssd_unweighted_nobag_kernel_small.cu 2025-08-14T21:37:17.6431416Z Written: gen_embedding_forward_split_unweighted_nobag_kernel_small.cu 2025-08-14T21:37:17.6431604Z Written: gen_embedding_forward_split_pt2_cuda_wrapper.cpp 2025-08-14T21:37:17.6431776Z Written: gen_embedding_forward_split_pt2_cpu_wrapper.cpp 2025-08-14T21:37:17.6431942Z Written: gen_embedding_forward_ssd_pt2_cuda_wrapper.cpp 2025-08-14T21:37:17.6457413Z  2025-08-14T21:37:17.6457512Z  2025-08-14T21:37:17.6457711Z ================================================================================ 2025-08-14T21:37:17.6457874Z Running code generation script ... 2025-08-14T21:37:17.6458225Z /opt/conda/envs/py_3.10/bin/python /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/genscript/generate_index_select.py --opensource --is_rocm 2025-08-14T21:37:17.6459905Z ================================================================================ 2025-08-14T21:37:17.6460053Z  2025-08-14T21:37:17.7863196Z [ARGS PARSE] Parsed arguments: Namespace(install_dir='.', is_fbcode=False, is_rocm=True) 2025-08-14T21:37:17.7864187Z [INDEX SELECT GENERATOR]: ['/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/genscript/generate_index_select.py', '--opensource', '--is_rocm'] 2025-08-14T21:37:17.7864745Z Written: gen_batch_index_select_dim0_forward_codegen_cuda.cu 2025-08-14T21:37:17.7865077Z Written: gen_batch_index_select_dim0_forward_kernel.cu 2025-08-14T21:37:17.7865382Z Written: gen_batch_index_select_dim0_forward_kernel_small.cu 2025-08-14T21:37:17.7865687Z Written: gen_batch_index_select_dim0_backward_codegen_cuda.cu 2025-08-14T21:37:17.7865982Z Written: gen_batch_index_select_dim0_backward_kernel_cta.cu 2025-08-14T21:37:17.7866264Z Written: gen_batch_index_select_dim0_backward_kernel_warp.cu 2025-08-14T21:37:17.7866589Z Written: gen_embedding_backward_split_batch_index_select_device_kernel.cuh 2025-08-14T21:37:17.7866915Z Written: gen_embedding_backward_split_grad_index_select.cu 2025-08-14T21:37:17.7867206Z Written: gen_embedding_backward_split_common_device_kernel.cuh 2025-08-14T21:37:18.5137934Z /var/lib/jenkins/pytorch/fbgemm/external/hipify_torch/hipify_torch/hipify_python.py:44: FutureWarning: you are using hipify version 1. 2025-08-14T21:37:18.5138326Z hipify's version 2 behavior will become the default in a later version of torch 2025-08-14T21:37:18.5138522Z warnings.warn("""you are using hipify version 1. 2025-08-14T21:37:18.7321056Z project_directory : /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu output_directory: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu includes: ['*'] ignores: [''] header_include_dirs: ['/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include', '/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src', '/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu', '/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/example', '/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai'] 2025-08-14T21:37:18.7324532Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/device_cache_flusher.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/device_cache_flusher_hip.cuh [ok] 2025-08-14T21:37:18.7327728Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/host_device_buffer_pair.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/host_device_buffer_pair_hip.cuh [ok] 2025-08-14T21:37:18.7334371Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/kernel_execution_timer.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/kernel_execution_timer_hip.cuh [ok] 2025-08-14T21:37:18.7343276Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/source_context.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/source_context.h [skipped, no changes] 2025-08-14T21:37:18.7363145Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/tensor_accessor.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/tensor_accessor_hip.h [ok] 2025-08-14T21:37:18.7374180Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/tensor_accessor_builder.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/tensor_accessor_builder_hip.h [ok] 2025-08-14T21:37:18.7395225Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/kernel_launcher.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/kernel_launcher_hip.cuh [ok] 2025-08-14T21:37:18.7406554Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/cuda_prelude.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/hip_prelude.cuh [ok] 2025-08-14T21:37:18.7423801Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/float.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/float_hip.cuh [ok] 2025-08-14T21:37:18.7424667Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/types.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/types.h [skipped, no changes] 2025-08-14T21:37:18.7442973Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/vec4.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/vec4_hip.cuh [ok] 2025-08-14T21:37:18.7452125Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/stochastic_rounding.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/stochastic_rounding_hip.cuh [ok] 2025-08-14T21:37:18.7463528Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/bench/verify_fp16_stochastic_benchmark.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/bench/verify_fp16_stochastic_benchmark.hip [ok] 2025-08-14T21:37:18.7472296Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/hstu.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/hstu_hip.h [ok] 2025-08-14T21:37:18.7484729Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/named_barrier.hpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/named_barrier.hpp [skipped, no changes] 2025-08-14T21:37:18.7510032Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/utils_hip.h [ok] 2025-08-14T21:37:18.7519443Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/epilogue_fwd_sm90_tma.hpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/epilogue_fwd_sm90_tma_hip.hpp [ok] 2025-08-14T21:37:18.7538739Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/seq_len.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/seq_len.h [skipped, no changes] 2025-08-14T21:37:18.7607433Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/mainloop_fwd_sm90_tma_gmma_ws.hpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/mainloop_fwd_sm90_tma_gmma_ws_hip.hpp [ok] 2025-08-14T21:37:18.7615744Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/tile_scheduler.hpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/tile_scheduler.hpp [skipped, no changes] 2025-08-14T21:37:18.7636915Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/hstu_fwd_kernel.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/hstu_fwd_kernel_hip.h [ok] 2025-08-14T21:37:18.7675786Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/kernel_traits.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/kernel_traits.h [skipped, no changes] 2025-08-14T21:37:18.7684240Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/static_switch.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/static_switch.h [skipped, no changes] 2025-08-14T21:37:18.7691297Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/hstu_fwd_launch_template.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/hstu_fwd_launch_template_hip.h [ok] 2025-08-14T21:37:18.7734738Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/hstu_ops_gpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/hstu_ops_gpu_hip.cpp [ok] 2025-08-14T21:37:18.7739436Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/tile_scheduler_bwd.hpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/tile_scheduler_bwd.hpp [skipped, no changes] 2025-08-14T21:37:18.7758763Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/epilogue_bwd_sm90_tma.hpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/epilogue_bwd_sm90_tma_hip.hpp [ok] 2025-08-14T21:37:18.7830353Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/mainloop_bwd_sm90_tma_gmma_ws.hpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/mainloop_bwd_sm90_tma_gmma_ws_hip.hpp [ok] 2025-08-14T21:37:18.7847268Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/hstu_bwd_kernel.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/hstu_bwd_kernel_hip.h [ok] 2025-08-14T21:37:18.7860701Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/epilogue_fwd_sm90_tma.hpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/epilogue_fwd_sm90_tma_hip.hpp [skipped, already hipified] 2025-08-14T21:37:18.7869225Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/tile_scheduler.hpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/tile_scheduler.hpp [skipped, no changes] 2025-08-14T21:37:18.7939498Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/mainloop_bwd_sm90_tma_gmma_ws.hpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/mainloop_bwd_sm90_tma_gmma_ws_hip.hpp [skipped, already hipified] 2025-08-14T21:37:18.7946169Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/static_switch.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/static_switch.h [skipped, no changes] 2025-08-14T21:37:18.7950164Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/seq_len.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/seq_len.h [skipped, no changes] 2025-08-14T21:37:18.7953554Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/named_barrier.hpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/named_barrier.hpp [skipped, no changes] 2025-08-14T21:37:18.7978402Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/utils_hip.h [skipped, already hipified] 2025-08-14T21:37:18.7994887Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/hstu_bwd_postprocess_kernel.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/hstu_bwd_postprocess_kernel_hip.h [ok] 2025-08-14T21:37:18.8034201Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/kernel_traits.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/kernel_traits.h [skipped, no changes] 2025-08-14T21:37:18.8049411Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/epilogue_bwd_sm90_tma.hpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/epilogue_bwd_sm90_tma_hip.hpp [skipped, already hipified] 2025-08-14T21:37:18.8130286Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/mainloop_fwd_sm90_tma_gmma_ws.hpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/mainloop_fwd_sm90_tma_gmma_ws_hip.hpp [skipped, already hipified] 2025-08-14T21:37:18.8135630Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/hstu.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/hstu_hip.h [skipped, already hipified] 2025-08-14T21:37:18.8151767Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/hstu_bwd_launch_template.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/hstu_bwd_launch_template_hip.h [ok] 2025-08-14T21:37:18.8177602Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/hstu_fwd_kernel.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/hstu_fwd_kernel_hip.h [skipped, already hipified] 2025-08-14T21:37:18.8190738Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_ampere/hstu.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_ampere/hstu_hip.h [ok] 2025-08-14T21:37:18.8199424Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_ampere/static_switch.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_ampere/static_switch.h [skipped, no changes] 2025-08-14T21:37:18.8232094Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_ampere/hstu_ops_gpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_ampere/hstu_ops_gpu_hip.cpp [ok] 2025-08-14T21:37:18.8242267Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_ampere/block_info.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_ampere/block_info.h [skipped, no changes] 2025-08-14T21:37:18.8263976Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_ampere/kernel_traits.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_ampere/kernel_traits.h [skipped, no changes] 2025-08-14T21:37:18.8283367Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_ampere/utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_ampere/utils_hip.h [ok] 2025-08-14T21:37:18.8325851Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_ampere/hstu_bwd.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_ampere/hstu_bwd_hip.h [ok] 2025-08-14T21:37:18.8327908Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_ampere/block_info.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_ampere/block_info.h [skipped, no changes] 2025-08-14T21:37:18.8336127Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_ampere/static_switch.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_ampere/static_switch.h [skipped, no changes] 2025-08-14T21:37:18.8355428Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_ampere/utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_ampere/utils_hip.h [skipped, already hipified] 2025-08-14T21:37:18.8376990Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_ampere/kernel_traits.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_ampere/kernel_traits.h [skipped, no changes] 2025-08-14T21:37:18.8383894Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_ampere/hstu.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_ampere/hstu_hip.h [skipped, already hipified] 2025-08-14T21:37:18.8413238Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_ampere/hstu_fwd.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_ampere/hstu_fwd_hip.h [ok] 2025-08-14T21:37:18.8419053Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/example/src/cutlass_sgemm_nn.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/example/src/cutlass_sgemm_nn.hip [ok] 2025-08-14T21:37:18.8421268Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/example/src/example_nccl.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/example/src/example_nccl_hip.cpp [ok] 2025-08-14T21:37:18.8423743Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/example/src/example_ops.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/example/src/example_ops.cpp [skipped, no changes] 2025-08-14T21:37:18.8428585Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/moe/index_shuffling.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/moe/index_shuffling.cpp [skipped, no changes] 2025-08-14T21:37:18.8430164Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/moe/index_shuffling_defs.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/moe/index_shuffling_defs.cpp [skipped, no changes] 2025-08-14T21:37:18.8449413Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/moe/index_shuffling.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/moe/index_shuffling.hip [ok] 2025-08-14T21:37:18.8457423Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/kv_cache/kv_cache.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/kv_cache/kv_cache.h [skipped, no changes] 2025-08-14T21:37:18.8470736Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/kv_cache/kv_cache.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/kv_cache/kv_cache_hip.cpp [ok] 2025-08-14T21:37:18.8501389Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/cuda_block_count.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/cuda_block_count.h [skipped, no changes] 2025-08-14T21:37:18.8536589Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/vec_quant.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/vec_quant_hip.cuh [ok] 2025-08-14T21:37:18.8771691Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/kv_cache/kv_cache.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/kv_cache/kv_cache.hip [ok] 2025-08-14T21:37:18.8783299Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/kv_cache/kv_cache_defs.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/kv_cache/kv_cache_defs.cpp [skipped, no changes] 2025-08-14T21:37:18.8789617Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/attention/attention.cpp -> 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/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/gather_scatter/gather_scatter_defs.cpp [skipped, no changes] 2025-08-14T21:37:18.9024194Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/gather_scatter/gather_scatter.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/gather_scatter/gather_scatter.hip [ok] 2025-08-14T21:37:18.9029091Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cublas_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cublas_utils_hip.h [ok] 2025-08-14T21:37:18.9044518Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/quantize_defs.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/quantize_defs.cpp [skipped, no changes] 2025-08-14T21:37:18.9203321Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/quantize.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/quantize.hip [ok] 2025-08-14T21:37:18.9272655Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/quantize.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/quantize_hip.cpp [ok] 2025-08-14T21:37:18.9274763Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/common/utils.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/common/utils.cpp [skipped, no changes] 2025-08-14T21:37:18.9277688Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/common/include/fbgemm_gpu/quantize/utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/common/include/fbgemm_gpu/quantize/utils.h [skipped, no changes] 2025-08-14T21:37:18.9303115Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/common/include/fbgemm_gpu/quantize/tuning_cache.hpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/common/include/fbgemm_gpu/quantize/tuning_cache_hip.hpp [ok] 2025-08-14T21:37:18.9346001Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise_grouped/kernels/fp8_rowwise_grouped_kernel_manifest.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise_grouped/kernels/fp8_rowwise_grouped_kernel_manifest.h [skipped, no changes] 2025-08-14T21:37:18.9361785Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise_grouped/kernels/fp8_rowwise_grouped_common.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise_grouped/kernels/fp8_rowwise_grouped_common_hip.h [ok] 2025-08-14T21:37:18.9380071Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise_preshuffle/kernels/fp8_rowwise_preshuffle_common.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise_preshuffle/kernels/fp8_rowwise_preshuffle_common_hip.h [ok] 2025-08-14T21:37:18.9396542Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise_preshuffle/kernels/fp8_rowwise_preshuffle_kernel_manifest.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise_preshuffle/kernels/fp8_rowwise_preshuffle_kernel_manifest.h [skipped, no changes] 2025-08-14T21:37:18.9406974Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise_batched/kernels/fp8_rowwise_batched_kernel_manifest.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise_batched/kernels/fp8_rowwise_batched_kernel_manifest.h [skipped, no changes] 2025-08-14T21:37:18.9418822Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise_batched/kernels/fp8_rowwise_batched_common.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise_batched/kernels/fp8_rowwise_batched_common_hip.h [ok] 2025-08-14T21:37:18.9431604Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/bf16_grouped/kernels/bf16_grouped_kernel_manifest.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/bf16_grouped/kernels/bf16_grouped_kernel_manifest.h [skipped, no changes] 2025-08-14T21:37:18.9443967Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/bf16_grouped/kernels/bf16_grouped_common.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/bf16_grouped/kernels/bf16_grouped_common_hip.h [ok] 2025-08-14T21:37:18.9450954Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fused_moe/fused_moegemm.hpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fused_moe/fused_moegemm.hpp [skipped, no changes] 2025-08-14T21:37:18.9454483Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fused_moe/fused_moesorting.hpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fused_moe/fused_moesorting.hpp [skipped, no changes] 2025-08-14T21:37:18.9456843Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fused_moe/fused_moe.hpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fused_moe/fused_moe.hpp [skipped, no changes] 2025-08-14T21:37:18.9459962Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fused_moe/fused_moesorting.hpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fused_moe/fused_moesorting.hpp [skipped, no changes] 2025-08-14T21:37:18.9466703Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fused_moe/fused_moe_op.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fused_moe/fused_moe_op_hip.cpp [ok] 2025-08-14T21:37:18.9472358Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fused_moe/fused_moegemm.hpp -> 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/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_groupwise_grouped/f8f8bf16_groupwise_grouped_manifest.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_groupwise_grouped/f8f8bf16_groupwise_grouped_manifest.cuh [skipped, no changes] 2025-08-14T21:37:18.9546304Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_groupwise_grouped.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_groupwise_grouped.hip [ok] 2025-08-14T21:37:18.9553411Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/i8i8bf16_dynamic.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/i8i8bf16_dynamic.hip [ok] 2025-08-14T21:37:18.9578745Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8i4bf16_shuffled_grouped.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8i4bf16_shuffled_grouped.hip [ok] 2025-08-14T21:37:18.9595118Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/i8i8bf16.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/i8i8bf16.hip [ok] 2025-08-14T21:37:18.9618989Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16i4bf16_rowwise_batched.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16i4bf16_rowwise_batched.hip [ok] 2025-08-14T21:37:18.9632839Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16.cu -> 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2025-08-14T21:37:18.9695788Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/mixed_dtype_utils.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/mixed_dtype_utils.hip [ok] 2025-08-14T21:37:18.9711133Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_tensorwise.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_tensorwise.hip [ok] 2025-08-14T21:37:18.9726397Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8i4bf16_rowwise.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8i4bf16_rowwise.hip [ok] 2025-08-14T21:37:18.9758281Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_manifest.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_manifest.cuh [skipped, no changes] 2025-08-14T21:37:18.9771071Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped.hip [ok] 2025-08-14T21:37:18.9779391Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/f8f8bf16_rowwise_manifest.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/f8f8bf16_rowwise_manifest.cuh [skipped, no changes] 2025-08-14T21:37:18.9788449Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise.hip [ok] 2025-08-14T21:37:18.9819516Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_manifest.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_manifest.cuh [skipped, no changes] 2025-08-14T21:37:18.9825653Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped_sm100/f8f8bf16_rowwise_grouped_manifest.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped_sm100/f8f8bf16_rowwise_grouped_manifest.cuh [skipped, no changes] 2025-08-14T21:37:18.9841129Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped.hip [ok] 2025-08-14T21:37:18.9846486Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_batched/f8f8bf16_rowwise_batched_manifest.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_batched/f8f8bf16_rowwise_batched_manifest.cuh [skipped, no changes] 2025-08-14T21:37:18.9852403Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_batched.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_batched.hip [ok] 2025-08-14T21:37:18.9861374Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_cublas.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_cublas.hip [ok] 2025-08-14T21:37:18.9874629Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_manifest.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_manifest_hip.cuh [ok] 2025-08-14T21:37:18.9888863Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16.hip [ok] 2025-08-14T21:37:18.9898600Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_lite.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_lite.hip [ok] 2025-08-14T21:37:18.9921683Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8i4bf16_shuffled.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8i4bf16_shuffled.hip [ok] 2025-08-14T21:37:18.9945550Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16i4bf16.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16i4bf16.hip [ok] 2025-08-14T21:37:18.9961470Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_blockwise.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_blockwise.hip [ok] 2025-08-14T21:37:18.9982923Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_groupwise_grouped/f8f8bf16_groupwise_grouped_common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_groupwise_grouped/f8f8bf16_groupwise_grouped_common_hip.cuh [ok] 2025-08-14T21:37:18.9984639Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_groupwise_grouped/f8f8bf16_groupwise_grouped_128_128_128_1_2_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_groupwise_grouped/f8f8bf16_groupwise_grouped_128_128_128_1_2_1_9_f.hip [ok] 2025-08-14T21:37:18.9986237Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_groupwise_grouped/f8f8bf16_groupwise_grouped_manifest.cuh -> 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/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_256_32_128_4_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_256_32_128_4_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0044296Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_128_128_128_1_1_1_9_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_128_128_128_1_1_1_9_t.hip [ok] 2025-08-14T21:37:19.0046308Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_128_16_128_1_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_128_16_128_1_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0048457Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_256_64_128_2_1_1_10_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_256_64_128_2_1_1_10_f.hip [ok] 2025-08-14T21:37:19.0050354Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_128_64_128_2_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_128_64_128_2_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0058191Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_128_64_128_4_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_128_64_128_4_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0059815Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_128_64_128_2_1_1_10_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_128_64_128_2_1_1_10_f.hip [ok] 2025-08-14T21:37:19.0061304Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_128_32_128_1_1_1_9_f.cu -> 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/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_manifest.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_manifest.cuh [skipped, no changes] 2025-08-14T21:37:19.0091356Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_128_32_128_2_1_1_10_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_128_32_128_2_1_1_10_f.hip [ok] 2025-08-14T21:37:19.0093165Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_256_256_128_2_1_1_10_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_256_256_128_2_1_1_10_f.hip [ok] 2025-08-14T21:37:19.0095443Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_256_128_128_1_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_256_128_128_1_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0097204Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_256_64_128_1_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_256_64_128_1_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0101450Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_128_128_128_2_1_1_9_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_128_128_128_2_1_1_9_t.hip [ok] 2025-08-14T21:37:19.0103239Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_128_256_128_4_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_128_256_128_4_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0104776Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_256_32_128_2_1_1_10_f.cu -> 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/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_128_128_128_4_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0114608Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_128_128_128_2_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_128_128_128_2_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0116492Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_256_128_128_4_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_256_128_128_4_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0118399Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_256_128_128_4_1_1_9_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_256_128_128_4_1_1_9_t.hip [ok] 2025-08-14T21:37:19.0120232Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_128_256_128_1_1_1_9_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_128_256_128_1_1_1_9_t.hip [ok] 2025-08-14T21:37:19.0122149Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_128_256_128_4_1_1_9_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_128_256_128_4_1_1_9_t.hip [ok] 2025-08-14T21:37:19.0124226Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_256_32_128_1_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_256_32_128_1_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0126973Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_256_64_128_4_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_256_64_128_4_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0128758Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_128_32_128_4_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_128_32_128_4_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0131269Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_256_128_128_2_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_256_128_128_2_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0137668Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_128_256_128_2_1_1_9_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_128_256_128_2_1_1_9_t.hip [ok] 2025-08-14T21:37:19.0138680Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_128_128_128_2_1_1_10_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_128_128_128_2_1_1_10_f.hip [ok] 2025-08-14T21:37:19.0139860Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_256_16_128_1_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_256_16_128_1_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0140804Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_128_64_128_1_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_128_64_128_1_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0141757Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_256_16_128_2_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_256_16_128_2_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0142784Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_256_128_128_2_1_1_10_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_256_128_128_2_1_1_10_f.hip [ok] 2025-08-14T21:37:19.0144008Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_256_64_128_2_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_256_64_128_2_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0146010Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_256_128_128_2_1_1_9_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_256_128_128_2_1_1_9_t.hip [ok] 2025-08-14T21:37:19.0147690Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_128_128_128_1_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_128_128_128_1_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0149685Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_128_128_128_4_1_1_9_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_128_128_128_4_1_1_9_t.hip [ok] 2025-08-14T21:37:19.0152377Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_256_16_128_4_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_256_16_128_4_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0153884Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_256_32_128_2_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_256_32_128_2_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0169810Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_common_hip.cuh [ok] 2025-08-14T21:37:19.0171306Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_128_192_4_2_1_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_128_192_4_2_1_f.hip [ok] 2025-08-14T21:37:19.0172879Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_128_2_1_1_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_128_2_1_1_t.hip [ok] 2025-08-14T21:37:19.0174549Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_192_2_2_1_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_192_2_2_1_f.hip [ok] 2025-08-14T21:37:19.0176206Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_128_4_1_1_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_128_4_1_1_f.hip [ok] 2025-08-14T21:37:19.0177824Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_128_128_2_2_1_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_128_128_2_2_1_t.hip [ok] 2025-08-14T21:37:19.0179471Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_256_2_4_1_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_256_2_4_1_t.hip [ok] 2025-08-14T21:37:19.0181091Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_128_128_4_1_1_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_128_128_4_1_1_t.hip [ok] 2025-08-14T21:37:19.0185168Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_128_128_4_2_1_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_128_128_4_2_1_f.hip [ok] 2025-08-14T21:37:19.0186453Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_128_128_1_1_1_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_128_128_1_1_1_t.hip [ok] 2025-08-14T21:37:19.0187715Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_256_2_1_1_f.cu -> 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/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_128_2_4_1_f.hip [ok] 2025-08-14T21:37:19.0208812Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_192_2_4_1_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_192_2_4_1_f.hip [ok] 2025-08-14T21:37:19.0210081Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_128_128_1_4_1_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_128_128_1_4_1_f.hip [ok] 2025-08-14T21:37:19.0211430Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_128_128_4_1_1_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_128_128_4_1_1_f.hip [ok] 2025-08-14T21:37:19.0212694Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_128_192_2_2_1_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_128_192_2_2_1_f.hip [ok] 2025-08-14T21:37:19.0214168Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_256_4_1_1_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_256_4_1_1_f.hip [ok] 2025-08-14T21:37:19.0215954Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_128_256_2_1_1_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_128_256_2_1_1_t.hip [ok] 2025-08-14T21:37:19.0217415Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_128_128_1_4_1_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_128_128_1_4_1_t.hip [ok] 2025-08-14T21:37:19.0219006Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_128_128_2_2_1_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_128_128_2_2_1_f.hip [ok] 2025-08-14T21:37:19.0220631Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_256_4_1_1_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_256_4_1_1_t.hip [ok] 2025-08-14T21:37:19.0223927Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_128_4_1_1_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_128_4_1_1_t.hip [ok] 2025-08-14T21:37:19.0225201Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_128_2_4_1_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_128_2_4_1_t.hip [ok] 2025-08-14T21:37:19.0226466Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_128_128_1_2_1_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_128_128_1_2_1_t.hip [ok] 2025-08-14T21:37:19.0227820Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_256_2_1_1_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_256_2_1_1_t.hip [ok] 2025-08-14T21:37:19.0242947Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:19.0244658Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_128_256_2_1_1_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_128_256_2_1_1_f.hip [ok] 2025-08-14T21:37:19.0245937Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_128_128_1_2_1_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_128_128_1_2_1_f.hip [ok] 2025-08-14T21:37:19.0247364Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_192_4_1_1_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_192_4_1_1_f.hip [ok] 2025-08-14T21:37:19.0258426Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_manifest.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_manifest_hip.cuh [skipped, already hipified] 2025-08-14T21:37:19.0259863Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_192_2_4_1_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_192_2_4_1_t.hip [ok] 2025-08-14T21:37:19.0261105Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_128_192_2_2_1_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_128_192_2_2_1_t.hip [ok] 2025-08-14T21:37:19.0262949Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_128_128_1_1_1_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_128_128_1_1_1_f.hip [ok] 2025-08-14T21:37:19.0264725Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_128_192_2_1_1_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_128_192_2_1_1_f.hip [ok] 2025-08-14T21:37:19.0266238Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_256_2_2_1_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_256_2_2_1_f.hip [ok] 2025-08-14T21:37:19.0267859Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_128_2_2_1_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_128_2_2_1_t.hip [ok] 2025-08-14T21:37:19.0283598Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_groupwise/f8f8bf16_groupwise_common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_groupwise/f8f8bf16_groupwise_common_hip.cuh [ok] 2025-08-14T21:37:19.0284848Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_groupwise/f8f8bf16_groupwise_128_16_128_1_1_1_9_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_groupwise/f8f8bf16_groupwise_128_16_128_1_1_1_9_t.hip [ok] 2025-08-14T21:37:19.0285996Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_groupwise/f8f8bf16_groupwise_128_128_128_1_2_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_groupwise/f8f8bf16_groupwise_128_128_128_1_2_1_9_f.hip [ok] 2025-08-14T21:37:19.0288633Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_groupwise/f8f8bf16_groupwise_manifest.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_groupwise/f8f8bf16_groupwise_manifest.cuh [skipped, no changes] 2025-08-14T21:37:19.0316871Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped_sm100/f8f8bf16_rowwise_grouped_common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped_sm100/f8f8bf16_rowwise_grouped_common_hip.cuh [ok] 2025-08-14T21:37:19.0318467Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped_sm100/f8f8bf16_rowwise_grouped_128_32_128_2_1_1_10_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped_sm100/f8f8bf16_rowwise_grouped_128_32_128_2_1_1_10_f.hip [ok] 2025-08-14T21:37:19.0321196Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped_sm100/f8f8bf16_rowwise_grouped_128_64_128_2_1_1_10_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped_sm100/f8f8bf16_rowwise_grouped_128_64_128_2_1_1_10_f.hip [ok] 2025-08-14T21:37:19.0323459Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped_sm100/f8f8bf16_rowwise_grouped_128_256_128_2_1_1_10_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped_sm100/f8f8bf16_rowwise_grouped_128_256_128_2_1_1_10_f.hip [ok] 2025-08-14T21:37:19.0350417Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped_sm100/f8f8bf16_rowwise_grouped_common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped_sm100/f8f8bf16_rowwise_grouped_common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:19.0354640Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped_sm100/f8f8bf16_rowwise_grouped_128_128_128_2_1_1_10_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped_sm100/f8f8bf16_rowwise_grouped_128_128_128_2_1_1_10_f.hip [ok] 2025-08-14T21:37:19.0359081Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped_sm100/f8f8bf16_rowwise_grouped_manifest.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped_sm100/f8f8bf16_rowwise_grouped_manifest.cuh [skipped, no changes] 2025-08-14T21:37:19.0361332Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped_sm100/f8f8bf16_rowwise_grouped_256_256_128_2_1_1_10_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped_sm100/f8f8bf16_rowwise_grouped_256_256_128_2_1_1_10_f.hip [ok] 2025-08-14T21:37:19.0363748Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped_sm100/f8f8bf16_rowwise_grouped_256_128_128_2_1_1_10_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped_sm100/f8f8bf16_rowwise_grouped_256_128_128_2_1_1_10_f.hip [ok] 2025-08-14T21:37:19.0366347Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped_sm100/f8f8bf16_rowwise_grouped_256_64_128_2_1_1_10_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped_sm100/f8f8bf16_rowwise_grouped_256_64_128_2_1_1_10_f.hip [ok] 2025-08-14T21:37:19.0368532Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped_sm100/f8f8bf16_rowwise_grouped_256_32_128_2_1_1_10_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped_sm100/f8f8bf16_rowwise_grouped_256_32_128_2_1_1_10_f.hip [ok] 2025-08-14T21:37:19.0396140Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_common_hip.cuh [ok] 2025-08-14T21:37:19.0397762Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_128_128_128_1_1_1_9_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_128_128_128_1_1_1_9_t.hip [ok] 2025-08-14T21:37:19.0400229Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_256_32_128_1_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_256_32_128_1_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0402540Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_256_32_128_2_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_256_32_128_2_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0405435Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_256_16_128_2_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_256_16_128_2_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0407313Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_128_128_128_4_1_1_9_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_128_128_128_4_1_1_9_t.hip [ok] 2025-08-14T21:37:19.0409573Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_128_64_128_4_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_128_64_128_4_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0411909Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_256_16_128_4_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_256_16_128_4_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0414521Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_128_128_128_2_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_128_128_128_2_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0416927Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_128_32_128_1_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_128_32_128_1_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0420633Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_128_128_128_2_1_1_9_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_128_128_128_2_1_1_9_t.hip [ok] 2025-08-14T21:37:19.0421665Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_128_32_128_2_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_128_32_128_2_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0423844Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_128_16_128_1_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_128_16_128_1_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0450064Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:19.0452542Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_128_256_128_4_1_1_9_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_128_256_128_4_1_1_9_t.hip [ok] 2025-08-14T21:37:19.0455190Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_256_128_128_4_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_256_128_128_4_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0457387Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_128_16_128_2_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_128_16_128_2_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0459696Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_256_128_128_4_1_1_9_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_256_128_128_4_1_1_9_t.hip [ok] 2025-08-14T21:37:19.0461986Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_256_128_128_1_1_1_9_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_256_128_128_1_1_1_9_t.hip [ok] 2025-08-14T21:37:19.0464423Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_256_128_128_2_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_256_128_128_2_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0467013Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_256_32_128_4_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_256_32_128_4_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0469014Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_128_256_128_1_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_128_256_128_1_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0471318Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_128_256_128_2_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_128_256_128_2_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0473624Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_256_64_128_2_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_256_64_128_2_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0476079Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_128_128_128_1_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_128_128_128_1_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0478391Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_256_64_128_1_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_256_64_128_1_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0506689Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_manifest.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_manifest.cuh [skipped, no changes] 2025-08-14T21:37:19.0508793Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_128_128_128_4_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_128_128_128_4_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0511049Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_128_16_128_4_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_128_16_128_4_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0514953Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_256_128_128_2_1_1_9_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_256_128_128_2_1_1_9_t.hip [ok] 2025-08-14T21:37:19.0516051Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_256_16_128_1_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_256_16_128_1_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0518029Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_256_128_128_1_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_256_128_128_1_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0520327Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_128_64_128_2_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_128_64_128_2_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0523120Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_256_64_128_4_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_256_64_128_4_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0525355Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_128_256_128_4_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_128_256_128_4_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0527648Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_128_256_128_1_1_1_9_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_128_256_128_1_1_1_9_t.hip [ok] 2025-08-14T21:37:19.0530019Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_128_32_128_4_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_128_32_128_4_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0532326Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_128_256_128_2_1_1_9_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_128_256_128_2_1_1_9_t.hip [ok] 2025-08-14T21:37:19.0535047Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_128_64_128_1_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_128_64_128_1_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0558156Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/f8f8bf16_rowwise_common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/f8f8bf16_rowwise_common_hip.cuh [ok] 2025-08-14T21:37:19.0559133Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/f8f8bf16_rowwise_128_256_128_4_4_1_9_f_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/f8f8bf16_rowwise_128_256_128_4_4_1_9_f_t.hip [ok] 2025-08-14T21:37:19.0561015Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/f8f8bf16_rowwise_128_64_128_1_1_1_10_f_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/f8f8bf16_rowwise_128_64_128_1_1_1_10_f_f.hip [ok] 2025-08-14T21:37:19.0567465Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/f8f8bf16_rowwise_manifest.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/f8f8bf16_rowwise_manifest.cuh [skipped, no changes] 2025-08-14T21:37:19.0589780Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/f8f8bf16_rowwise_common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/f8f8bf16_rowwise_common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:19.0592292Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/f8f8bf16_rowwise_128_128_128_2_1_1_9_t_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/f8f8bf16_rowwise_128_128_128_2_1_1_9_t_f.hip [ok] 2025-08-14T21:37:19.0593300Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/f8f8bf16_rowwise_64_128_128_1_1_1_9_f_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/f8f8bf16_rowwise_64_128_128_1_1_1_9_f_f.hip [ok] 2025-08-14T21:37:19.0594847Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/f8f8bf16_rowwise_64_256_128_2_1_1_9_f_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/f8f8bf16_rowwise_64_256_128_2_1_1_9_f_f.hip [ok] 2025-08-14T21:37:19.0596410Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/f8f8bf16_rowwise_128_256_128_2_1_1_9_f_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/f8f8bf16_rowwise_128_256_128_2_1_1_9_f_t.hip [ok] 2025-08-14T21:37:19.0598020Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/f8f8bf16_rowwise_128_256_128_2_1_1_10_f_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/f8f8bf16_rowwise_128_256_128_2_1_1_10_f_f.hip [ok] 2025-08-14T21:37:19.0599479Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/f8f8bf16_rowwise_128_128_128_2_2_1_10_f_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/f8f8bf16_rowwise_128_128_128_2_2_1_10_f_f.hip [ok] 2025-08-14T21:37:19.0601183Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/f8f8bf16_rowwise_64_64_128_2_1_1_9_f_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/f8f8bf16_rowwise_64_64_128_2_1_1_9_f_f.hip [ok] 2025-08-14T21:37:19.0602692Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/f8f8bf16_rowwise_64_32_128_2_1_1_9_f_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/f8f8bf16_rowwise_64_32_128_2_1_1_9_f_f.hip [ok] 2025-08-14T21:37:19.0604603Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/f8f8bf16_rowwise_64_16_128_1_1_1_9_f_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/f8f8bf16_rowwise_64_16_128_1_1_1_9_f_f.hip [ok] 2025-08-14T21:37:19.0607441Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/f8f8bf16_rowwise_128_256_128_1_2_1_10_f_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/f8f8bf16_rowwise_128_256_128_1_2_1_10_f_f.hip [ok] 2025-08-14T21:37:19.0608392Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/f8f8bf16_rowwise_64_256_128_1_1_1_9_f_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/f8f8bf16_rowwise_64_256_128_1_1_1_9_f_f.hip [ok] 2025-08-14T21:37:19.0609835Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/f8f8bf16_rowwise_128_32_128_1_1_1_10_f_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/f8f8bf16_rowwise_128_32_128_1_1_1_10_f_f.hip [ok] 2025-08-14T21:37:19.0614130Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/include/kernel_mode.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/include/kernel_mode.h [skipped, no changes] 2025-08-14T21:37:19.0694716Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/include/fp8_blockwise_cutlass_helpers.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/include/fp8_blockwise_cutlass_helpers_hip.h [ok] 2025-08-14T21:37:19.0708497Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/include/threadblock.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/include/threadblock.h [skipped, no changes] 2025-08-14T21:37:19.0741048Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16_grouped/f4f4bf16_grouped_common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16_grouped/f4f4bf16_grouped_common_hip.cuh [ok] 2025-08-14T21:37:19.0744212Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16_grouped/f4f4bf16_grouped_256_64_256_2_1_1_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16_grouped/f4f4bf16_grouped_256_64_256_2_1_1_f.hip [ok] 2025-08-14T21:37:19.0747465Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16_grouped/f4f4bf16_grouped_128_128_256_1_1_1_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16_grouped/f4f4bf16_grouped_128_128_256_1_1_1_f.hip [ok] 2025-08-14T21:37:19.0750146Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16_grouped/f4f4bf16_grouped_128_128_256_1_1_1_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16_grouped/f4f4bf16_grouped_128_128_256_1_1_1_t.hip [ok] 2025-08-14T21:37:19.0753893Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16_grouped/f4f4bf16_grouped_256_128_256_2_1_1_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16_grouped/f4f4bf16_grouped_256_128_256_2_1_1_f.hip [ok] 2025-08-14T21:37:19.0756117Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16_grouped/f4f4bf16_grouped_256_256_256_2_1_1_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16_grouped/f4f4bf16_grouped_256_256_256_2_1_1_t.hip [ok] 2025-08-14T21:37:19.0758955Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16_grouped/f4f4bf16_grouped_128_64_256_1_1_1_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16_grouped/f4f4bf16_grouped_128_64_256_1_1_1_t.hip [ok] 2025-08-14T21:37:19.0771092Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16_grouped/f4f4bf16_grouped_manifest.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16_grouped/f4f4bf16_grouped_manifest_hip.cuh [skipped, already hipified] 2025-08-14T21:37:19.0774074Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16_grouped/f4f4bf16_grouped_256_128_256_2_1_1_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16_grouped/f4f4bf16_grouped_256_128_256_2_1_1_t.hip [ok] 2025-08-14T21:37:19.0777280Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16_grouped/f4f4bf16_grouped_128_64_256_1_1_1_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16_grouped/f4f4bf16_grouped_128_64_256_1_1_1_f.hip [ok] 2025-08-14T21:37:19.0779800Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16_grouped/f4f4bf16_grouped_256_64_256_2_1_1_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16_grouped/f4f4bf16_grouped_256_64_256_2_1_1_t.hip [ok] 2025-08-14T21:37:19.0782676Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16_grouped/f4f4bf16_grouped_256_256_256_2_1_1_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16_grouped/f4f4bf16_grouped_256_256_256_2_1_1_f.hip [ok] 2025-08-14T21:37:19.0805590Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_batched/f8f8bf16_rowwise_batched_common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_batched/f8f8bf16_rowwise_batched_common_hip.cuh [ok] 2025-08-14T21:37:19.0806722Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_batched/f8f8bf16_rowwise_batched_128_128_128_1_2_1_9_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_batched/f8f8bf16_rowwise_batched_128_128_128_1_2_1_9_t.hip [ok] 2025-08-14T21:37:19.0810390Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_batched/f8f8bf16_rowwise_batched_manifest.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_batched/f8f8bf16_rowwise_batched_manifest.cuh [skipped, no changes] 2025-08-14T21:37:19.0812214Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_batched/f8f8bf16_rowwise_batched_64_128_128_1_2_1_10_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_batched/f8f8bf16_rowwise_batched_64_128_128_1_2_1_10_f.hip [ok] 2025-08-14T21:37:19.0814210Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_batched/f8f8bf16_rowwise_batched_128_128_128_2_1_1_10_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_batched/f8f8bf16_rowwise_batched_128_128_128_2_1_1_10_t.hip [ok] 2025-08-14T21:37:19.0816025Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_batched/f8f8bf16_rowwise_batched_64_128_128_2_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_batched/f8f8bf16_rowwise_batched_64_128_128_2_1_1_9_f.hip [ok] 2025-08-14T21:37:19.0819255Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_batched/f8f8bf16_rowwise_batched_64_128_128_1_2_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_batched/f8f8bf16_rowwise_batched_64_128_128_1_2_1_9_f.hip [ok] 2025-08-14T21:37:19.0820561Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_batched/f8f8bf16_rowwise_batched_128_128_128_1_2_1_10_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_batched/f8f8bf16_rowwise_batched_128_128_128_1_2_1_10_t.hip [ok] 2025-08-14T21:37:19.0840345Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_batched/f8f8bf16_rowwise_batched_common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_batched/f8f8bf16_rowwise_batched_common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:19.0841979Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_batched/f8f8bf16_rowwise_batched_128_128_128_2_1_1_9_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_batched/f8f8bf16_rowwise_batched_128_128_128_2_1_1_9_t.hip [ok] 2025-08-14T21:37:19.0844483Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_batched/f8f8bf16_rowwise_batched_64_128_128_2_1_1_10_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_batched/f8f8bf16_rowwise_batched_64_128_128_2_1_1_10_f.hip [ok] 2025-08-14T21:37:19.0851438Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/fast_gemv/include/common_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/fast_gemv/include/common_utils.h [skipped, no changes] 2025-08-14T21:37:19.0861021Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/fast_gemv/include/utility.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/fast_gemv/include/utility_hip.cuh [ok] 2025-08-14T21:37:19.0872246Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/fast_gemv/include/fast_gemv.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/fast_gemv/include/fast_gemv_hip.cuh [ok] 2025-08-14T21:37:19.0883288Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/fast_gemv/fp8fp8bf16_fast_gemv.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/fast_gemv/fp8fp8bf16_fast_gemv.hip [ok] 2025-08-14T21:37:19.0896968Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/fast_gemv/bf16_fast_gemv.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/fast_gemv/bf16_fast_gemv.hip [ok] 2025-08-14T21:37:19.0897699Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/fast_gemv/bf16fp8bf16_fast_gemv.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/fast_gemv/bf16fp8bf16_fast_gemv.hip [ok] 2025-08-14T21:37:19.0907344Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/fast_gemv/include/utility.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/fast_gemv/include/utility_hip.cuh [skipped, already hipified] 2025-08-14T21:37:19.0911451Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/fast_gemv/include/common_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/fast_gemv/include/common_utils.h [skipped, no changes] 2025-08-14T21:37:19.0929818Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/fast_gemv/include/fast_gemv.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/fast_gemv/include/fast_gemv.hip [ok] 2025-08-14T21:37:19.0942549Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/fast_gemv/include/fast_gemv.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/fast_gemv/include/fast_gemv_hip.cuh [skipped, already hipified] 2025-08-14T21:37:19.0944893Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/coalesce/coalesce.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/coalesce/coalesce.h [skipped, no changes] 2025-08-14T21:37:19.0952637Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/ops_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/ops_utils.h [skipped, no changes] 2025-08-14T21:37:19.0956891Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/coalesce/coalesce.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/coalesce/coalesce.cpp [skipped, no changes] 2025-08-14T21:37:19.0966002Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/coalesce/coalesce.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/coalesce/coalesce.hip [ok] 2025-08-14T21:37:19.0971489Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/coalesce/coalesce_defs.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/coalesce/coalesce_defs.cpp [skipped, no changes] 2025-08-14T21:37:19.0991302Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/comm/car.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/comm/car_hip.cpp [ok] 2025-08-14T21:37:19.1043162Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/comm/car.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/comm/car.hip [ok] 2025-08-14T21:37:19.1045984Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/gemm/gemm.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/gemm/gemm.cpp [skipped, no changes] 2025-08-14T21:37:19.1060298Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/embedding_common.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/embedding_common.h [skipped, no changes] 2025-08-14T21:37:19.1088646Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/dispatch_macros.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/dispatch_macros_hip.h [ok] 2025-08-14T21:37:19.1095591Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/find_qparams.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/find_qparams_hip.cuh [ok] 2025-08-14T21:37:19.1099817Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/fixed_divisor.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/fixed_divisor.cuh [skipped, no changes] 2025-08-14T21:37:19.1103996Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/shared_memory.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/shared_memory_hip.cuh [ok] 2025-08-14T21:37:19.1125161Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/tensor_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/tensor_utils.h [skipped, no changes] 2025-08-14T21:37:19.1149759Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/weight_row.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/weight_row_hip.cuh [ok] 2025-08-14T21:37:19.1157130Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/embedding_backward_template_helpers.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/embedding_backward_template_helpers_hip.cuh [ok] 2025-08-14T21:37:19.1200319Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/sparse_ops.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/sparse_ops.h [skipped, no changes] 2025-08-14T21:37:19.1205526Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/config/feature_gates.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/config/feature_gates.h [skipped, no changes] 2025-08-14T21:37:19.1210353Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/split_embeddings_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/split_embeddings_utils.h [skipped, no changes] 2025-08-14T21:37:19.1214991Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/split_embeddings_utils.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/split_embeddings_utils_hip.cuh [ok] 2025-08-14T21:37:19.1220659Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/cuda_utilities.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/hip_utilities.cuh [ok] 2025-08-14T21:37:19.1227587Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/rocm/cdna_guard.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/rocm/cdna_guard.h [skipped, no changes] 2025-08-14T21:37:19.1265693Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_vbe_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_vbe_hip.hip [ok] 2025-08-14T21:37:19.1280208Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/cub_namespace_prefix.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/cub_namespace_prefix_hip.cuh [ok] 2025-08-14T21:37:19.1283467Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/cub_namespace_postfix.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/cub_namespace_postfix_hip.cuh [ok] 2025-08-14T21:37:19.1303137Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/vec4acc.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/vec4acc_hip.cuh [ok] 2025-08-14T21:37:19.1354428Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/vecn.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/vecn_hip.cuh [ok] 2025-08-14T21:37:19.1368328Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/embedding_forward_template_helpers.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/embedding_forward_template_helpers_hip.cuh [ok] 2025-08-14T21:37:19.1380131Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/split_embeddings_cache_cuda.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/split_embeddings_cache_cuda.cuh [skipped, no changes] 2025-08-14T21:37:19.1425256Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_unweighted_vbe_codegen_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_unweighted_vbe_codegen_hip.hip [ok] 2025-08-14T21:37:19.1884177Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_partial_rowwise_adam_ssd_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_partial_rowwise_adam_ssd_device_kernel_hip.cuh [ok] 2025-08-14T21:37:19.1889931Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_weighted_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_weighted_device_kernel_hip.cuh [ok] 2025-08-14T21:37:19.1895204Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_common_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_common_device_kernel_hip.cuh [ok] 2025-08-14T21:37:19.3947664Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_ssd_weighted_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_ssd_weighted_kernel_cta.hip [ok] 2025-08-14T21:37:19.3977364Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_adam_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_adam_split_device_kernel_hip.cuh [ok] 2025-08-14T21:37:19.3984132Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_unweighted_nobag_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_unweighted_nobag_device_kernel_hip.cuh [ok] 2025-08-14T21:37:19.4058768Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_unweighted_nobag_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_unweighted_nobag_kernel_cta.hip [ok] 2025-08-14T21:37:19.4065913Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lamb_split_weighted_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lamb_split_weighted_meta_hip.cpp [ok] 2025-08-14T21:37:19.4102382Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_host_unweighted_nobag_codegen_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_host_unweighted_nobag_codegen_hip.hip [ok] 2025-08-14T21:37:19.4111407Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/cpu_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/cpu_utils.h [skipped, no changes] 2025-08-14T21:37:19.4144474Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_weighted_codegen_cpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_weighted_codegen_cpu_hip.cpp [ok] 2025-08-14T21:37:19.4151318Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_ssd_unweighted_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_ssd_unweighted_meta_hip.cpp [ok] 2025-08-14T21:37:19.4152206Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_lars_sgd_pt2_cpu_wrapper.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_lars_sgd_pt2_cpu_wrapper.cpp [skipped, no changes] 2025-08-14T21:37:19.6412388Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_ssd_unweighted_nobag_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_ssd_unweighted_nobag_kernel_cta.hip [ok] 2025-08-14T21:37:19.6767297Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_kernel_cta.hip [ok] 2025-08-14T21:37:19.6779472Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_unweighted_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_unweighted_meta_hip.cpp [ok] 2025-08-14T21:37:19.7161491Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_unweighted_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_unweighted_device_kernel_hip.cuh [ok] 2025-08-14T21:37:19.9087905Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_ssd_unweighted_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_ssd_unweighted_kernel_cta.hip [ok] 2025-08-14T21:37:19.9111337Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/pt2_arg_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/pt2_arg_utils.h [skipped, no changes] 2025-08-14T21:37:19.9196715Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_adam_pt2_autograd.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_adam_pt2_autograd_hip.cpp [ok] 2025-08-14T21:37:19.9197904Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_rowwise_adagrad_with_counter_pt2_cuda_wrapper.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_rowwise_adagrad_with_counter_pt2_cuda_wrapper.cpp [skipped, no changes] 2025-08-14T21:37:19.9225963Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_split_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_split_hip.hip [ok] 2025-08-14T21:37:19.9309063Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_sgd_pt2_autograd.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_sgd_pt2_autograd_hip.cpp [ok] 2025-08-14T21:37:19.9371321Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_ssd_partial_rowwise_adam.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_ssd_partial_rowwise_adam_hip.cpp [ok] 2025-08-14T21:37:19.9381503Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/embedding_forward_split_cpu.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/embedding_forward_split_cpu_hip.h [ok] 2025-08-14T21:37:19.9388489Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_rowwise_adagrad_with_weight_decay_cpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_rowwise_adagrad_with_weight_decay_cpu_hip.cpp [ok] 2025-08-14T21:37:19.9460269Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_sgd_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_sgd_split_device_kernel_hip.cuh [ok] 2025-08-14T21:37:19.9846364Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_weighted_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_weighted_kernel_warp.hip [ok] 2025-08-14T21:37:19.9919204Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_weighted_vbe_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_weighted_vbe_device_kernel_hip.cuh [ok] 2025-08-14T21:37:20.0330889Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_weighted_vbe_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_weighted_vbe_kernel_warp.hip [ok] 2025-08-14T21:37:20.0388592Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_hip.hip [ok] 2025-08-14T21:37:20.0537313Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_with_counter_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_with_counter_split_device_kernel_hip.cuh [ok] 2025-08-14T21:37:20.1148884Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_with_counter_split_weighted_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_with_counter_split_weighted_kernel_cta.hip [ok] 2025-08-14T21:37:20.1150443Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_sgd_pt2_cuda_wrapper.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_sgd_pt2_cuda_wrapper.cpp [skipped, no changes] 2025-08-14T21:37:20.3438164Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_ssd_unweighted_nobag_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_ssd_unweighted_nobag_kernel_warp.hip [ok] 2025-08-14T21:37:20.3495596Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_nobag_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_nobag_hip.hip [ok] 2025-08-14T21:37:20.3582537Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_split_unweighted_nobag_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_split_unweighted_nobag_hip.hip [ok] 2025-08-14T21:37:20.3615825Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_ssd_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_ssd_device_kernel_hip.cuh [ok] 2025-08-14T21:37:20.3695687Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_backward_codegen_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_backward_codegen_hip.hip [ok] 2025-08-14T21:37:20.4374250Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_unweighted_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_unweighted_kernel_cta.hip [ok] 2025-08-14T21:37:20.4493351Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_partial_rowwise_lamb_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_partial_rowwise_lamb_split_device_kernel_hip.cuh [ok] 2025-08-14T21:37:20.4999755Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_lamb_split_weighted_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_lamb_split_weighted_kernel_cta.hip [ok] 2025-08-14T21:37:20.5083719Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_adagrad_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_adagrad_split_device_kernel_hip.cuh [ok] 2025-08-14T21:37:20.5546322Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_weighted_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_weighted_kernel_warp.hip [ok] 2025-08-14T21:37:20.5607738Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_with_counter_split_weighted_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_with_counter_split_weighted_hip.hip [ok] 2025-08-14T21:37:20.5614421Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lars_sgd_split_weighted_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lars_sgd_split_weighted_meta_hip.cpp [ok] 2025-08-14T21:37:20.5621052Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_split_unweighted_nobag_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_split_unweighted_nobag_meta_hip.cpp [ok] 2025-08-14T21:37:20.5688127Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_codegen_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_codegen_hip.hip [ok] 2025-08-14T21:37:20.5695754Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_weighted_vbe_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_weighted_vbe_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:20.6206214Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_unweighted_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_unweighted_kernel_warp.hip [ok] 2025-08-14T21:37:20.6795504Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_lamb_split_unweighted_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_lamb_split_unweighted_kernel_cta.hip [ok] 2025-08-14T21:37:20.6802146Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_split_unweighted_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_split_unweighted_meta_hip.cpp [ok] 2025-08-14T21:37:20.6836744Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/rocm/split_embeddings_common.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/rocm/split_embeddings_common.h [skipped, no changes] 2025-08-14T21:37:20.6903916Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_hip.hip [ok] 2025-08-14T21:37:20.6917242Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/torch_library.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/torch_library.h [skipped, no changes] 2025-08-14T21:37:20.6975097Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_partial_rowwise_adam_pt2_cuda_wrapper.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_partial_rowwise_adam_pt2_hip_wrapper.cpp [ok] 2025-08-14T21:37:20.6981560Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_unweighted_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_unweighted_meta_hip.cpp [ok] 2025-08-14T21:37:20.7062960Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_v2_kernel.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_v2_kernel.hip [ok] 2025-08-14T21:37:20.7085094Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_unweighted_vbe_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_unweighted_vbe_device_kernel_hip.cuh [ok] 2025-08-14T21:37:20.7165729Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_unweighted_vbe_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_unweighted_vbe_kernel_warp.hip [ok] 2025-08-14T21:37:20.7172585Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_lamb_split_weighted_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_lamb_split_weighted_meta_hip.cpp [ok] 2025-08-14T21:37:20.7182210Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_meta_hip.cpp [ok] 2025-08-14T21:37:20.7355825Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/rocm/half2.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/rocm/half2.h [skipped, no changes] 2025-08-14T21:37:20.7370619Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/rocm/vec2.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/rocm/vec2_hip.h [ok] 2025-08-14T21:37:20.7377606Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/rocm/stochastic_rounding.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/rocm/stochastic_rounding_hip.h [ok] 2025-08-14T21:37:20.7382009Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/rocm/weight_row.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/rocm/weight_row_hip.h [ok] 2025-08-14T21:37:20.8424417Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_weighted_kernel.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_weighted_kernel.hip [ok] 2025-08-14T21:37:20.8431245Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_weighted_vbe_codegen_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_weighted_vbe_codegen_meta.cpp [skipped, no changes] 2025-08-14T21:37:20.8487117Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_adagrad_pt2_cuda_wrapper.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_adagrad_pt2_hip_wrapper.cpp [ok] 2025-08-14T21:37:20.8888515Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_weighted_int4_codegen_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_weighted_int4_codegen_hip.hip [ok] 2025-08-14T21:37:20.9089076Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_int2_codegen_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_int2_codegen_hip.hip [ok] 2025-08-14T21:37:20.9921375Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_with_counter_split_weighted_vbe_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_with_counter_split_weighted_vbe_kernel_warp.hip [ok] 2025-08-14T21:37:20.9928115Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_unweighted_codegen_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_unweighted_codegen_meta.cpp [skipped, no changes] 2025-08-14T21:37:20.9943346Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_adam_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_adam_split_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:20.9952669Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_sgd_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_sgd_split_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:21.0369613Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_unweighted_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_unweighted_kernel_warp.hip [ok] 2025-08-14T21:37:21.1623794Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_unweighted_vbe_kernel.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_unweighted_vbe_kernel.hip [ok] 2025-08-14T21:37:21.1671595Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_adagrad.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_adagrad_hip.cpp [ok] 2025-08-14T21:37:21.1693955Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_adagrad_cpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_adagrad_cpu_hip.cpp [ok] 2025-08-14T21:37:21.1751876Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_none_pt2_autograd.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_none_pt2_autograd_hip.cpp [ok] 2025-08-14T21:37:21.1757607Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_unweighted_vbe_codegen_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_unweighted_vbe_codegen_meta.cpp [skipped, no changes] 2025-08-14T21:37:21.1773916Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_adagrad_cpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_adagrad_cpu_hip.cpp [ok] 2025-08-14T21:37:21.2528385Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_kernel_warp.hip [ok] 2025-08-14T21:37:21.2534552Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_batch_index_select_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_batch_index_select_device_kernel_hip.cuh [ok] 2025-08-14T21:37:21.2535469Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_rowwise_adagrad_pt2_cpu_wrapper.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_rowwise_adagrad_pt2_cpu_wrapper.cpp [skipped, no changes] 2025-08-14T21:37:21.2633410Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_split_device_kernel_hip.cuh [ok] 2025-08-14T21:37:21.3131461Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_gwd_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_gwd_kernel_warp.hip [ok] 2025-08-14T21:37:22.0068424Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_kernel_warp.hip [ok] 2025-08-14T21:37:22.0112621Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_unweighted_nobag_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_unweighted_nobag_hip.hip [ok] 2025-08-14T21:37:22.0640392Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_weighted_int8_codegen_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_weighted_int8_codegen_hip.hip [ok] 2025-08-14T21:37:22.0945645Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_backward_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_backward_kernel_warp.hip [ok] 2025-08-14T21:37:22.0950862Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_vbe_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_vbe_meta_hip.cpp [ok] 2025-08-14T21:37:22.1005708Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_hip.hip [ok] 2025-08-14T21:37:22.1012669Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_unweighted_vbe_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_unweighted_vbe_meta_hip.cpp [ok] 2025-08-14T21:37:22.1023511Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_unweighted_codegen_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_unweighted_codegen_meta.cpp [skipped, no changes] 2025-08-14T21:37:22.1080623Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_weighted_vbe_codegen_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_weighted_vbe_codegen_hip.hip [ok] 2025-08-14T21:37:22.1135035Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_partial_rowwise_lamb.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_partial_rowwise_lamb_hip.cpp [ok] 2025-08-14T21:37:22.1143164Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_lars_sgd_cpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_lars_sgd_cpu_hip.cpp [ok] 2025-08-14T21:37:22.1149636Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_unweighted_nobag_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_unweighted_nobag_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:22.1150604Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/hipblaslt_test_outer_vec.cc -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/hipblaslt_test_outer_vec.cc [skipped, no changes] 2025-08-14T21:37:22.1178686Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp [ok] 2025-08-14T21:37:22.1186473Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_none_split_unweighted_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_none_split_unweighted_meta_hip.cpp [ok] 2025-08-14T21:37:22.1270942Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_weighted_v2_kernel.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_weighted_v2_kernel.hip [ok] 2025-08-14T21:37:22.2689239Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_weighted_vbe_kernel.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_weighted_vbe_kernel.hip [ok] 2025-08-14T21:37:22.2695467Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_nobag_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_nobag_meta_hip.cpp [ok] 2025-08-14T21:37:22.2700743Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_nobag_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_nobag_meta_hip.cpp [ok] 2025-08-14T21:37:22.2708438Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_vbe_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_vbe_meta_hip.cpp [ok] 2025-08-14T21:37:22.3094455Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_none_split_weighted_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_none_split_weighted_kernel_warp.hip [ok] 2025-08-14T21:37:22.3480850Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_partial_rowwise_adam_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_partial_rowwise_adam_split_device_kernel_hip.cuh [ok] 2025-08-14T21:37:22.5413078Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_split_unweighted_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_split_unweighted_kernel_cta.hip [ok] 2025-08-14T21:37:22.5435847Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_grad_index_select.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_grad_index_select.hip [ok] 2025-08-14T21:37:22.5441249Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_weighted_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_weighted_meta_hip.cpp [ok] 2025-08-14T21:37:22.5449206Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_ssd_weighted_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_ssd_weighted_device_kernel_hip.cuh [ok] 2025-08-14T21:37:22.5456625Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_split.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_split_hip.cpp [ok] 2025-08-14T21:37:22.7875844Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_ssd_unweighted_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_ssd_unweighted_kernel_warp.hip [ok] 2025-08-14T21:37:22.7966014Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_unweighted_nobag_kernel.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_unweighted_nobag_kernel.hip [ok] 2025-08-14T21:37:22.8322980Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_int4_codegen_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_int4_codegen_hip.hip [ok] 2025-08-14T21:37:22.8380355Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_ssd_weighted_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_ssd_weighted_hip.hip [ok] 2025-08-14T21:37:22.8973356Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_kernel_warp.hip [ok] 2025-08-14T21:37:22.9857996Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_weighted_gwd_kernel.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_weighted_gwd_kernel.hip [ok] 2025-08-14T21:37:23.0244932Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_int4_codegen_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_int4_codegen_hip.hip [ok] 2025-08-14T21:37:23.0294548Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_dense.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_dense_hip.cpp [ok] 2025-08-14T21:37:23.0307303Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_with_counter_split_weighted_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_with_counter_split_weighted_meta_hip.cpp [ok] 2025-08-14T21:37:23.0397332Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_weighted_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_weighted_kernel_warp.hip [ok] 2025-08-14T21:37:23.1143261Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_nobag_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_nobag_kernel_warp.hip [ok] 2025-08-14T21:37:23.1144237Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_partial_rowwise_lamb_pt2_cpu_wrapper.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_partial_rowwise_lamb_pt2_cpu_wrapper.cpp [skipped, no changes] 2025-08-14T21:37:23.1160438Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_lamb_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_lamb_split_device_kernel_hip.cuh [ok] 2025-08-14T21:37:23.1170411Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_rowwise_adagrad_with_counter_cpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_rowwise_adagrad_with_counter_cpu_hip.cpp [ok] 2025-08-14T21:37:23.1242601Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_sgd.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_sgd_hip.cpp [ok] 2025-08-14T21:37:23.1879873Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_ssd_weighted_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_ssd_weighted_kernel_warp.hip [ok] 2025-08-14T21:37:23.1947271Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_weighted_codegen_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_weighted_codegen_hip.hip [ok] 2025-08-14T21:37:23.1964544Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_approx_rowwise_adagrad_with_weight_decay_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_approx_rowwise_adagrad_with_weight_decay_split_device_kernel_hip.cuh [ok] 2025-08-14T21:37:23.1973507Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_unweighted_vbe_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_unweighted_vbe_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:23.1980235Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_weighted_vbe_codegen_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_weighted_vbe_codegen_meta.cpp [skipped, no changes] 2025-08-14T21:37:23.2050943Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_gwd_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_gwd_hip.hip [ok] 2025-08-14T21:37:23.2635459Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_kernel_cta.hip [ok] 2025-08-14T21:37:23.2636880Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_partial_rowwise_adam_pt2_cpu_wrapper.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_partial_rowwise_adam_pt2_cpu_wrapper.cpp [skipped, no changes] 2025-08-14T21:37:23.3174142Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_ssd_unweighted_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_ssd_unweighted_kernel_cta.hip [ok] 2025-08-14T21:37:23.3223145Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lars_sgd_split_weighted_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lars_sgd_split_weighted_hip.hip [ok] 2025-08-14T21:37:23.3992939Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_vbe_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_vbe_kernel_cta.hip [ok] 2025-08-14T21:37:23.4047750Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_unweighted_vbe_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_unweighted_vbe_hip.hip [ok] 2025-08-14T21:37:23.4511894Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_weighted_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_weighted_kernel_cta.hip [ok] 2025-08-14T21:37:23.4518368Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_ssd_unweighted_vbe_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_ssd_unweighted_vbe_device_kernel_hip.cuh [ok] 2025-08-14T21:37:23.4561779Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lars_sgd_split_unweighted_nobag_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lars_sgd_split_unweighted_nobag_hip.hip [ok] 2025-08-14T21:37:23.4964344Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_unweighted_nobag_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_unweighted_nobag_kernel_warp.hip [ok] 2025-08-14T21:37:23.5019546Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_adagrad_pt2_autograd.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_adagrad_pt2_autograd_hip.cpp [ok] 2025-08-14T21:37:23.5026281Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_unweighted_nobag_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_unweighted_nobag_meta_hip.cpp [ok] 2025-08-14T21:37:23.5083225Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_weighted_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_weighted_hip.hip [ok] 2025-08-14T21:37:23.5136773Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_unweighted_nobag_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_unweighted_nobag_hip.hip [ok] 2025-08-14T21:37:23.5147544Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_codegen_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_codegen_meta.cpp [skipped, no changes] 2025-08-14T21:37:23.5250614Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_split_kernel.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_split_kernel.hip [ok] 2025-08-14T21:37:23.5315001Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_ssd_unweighted_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_ssd_unweighted_hip.hip [ok] 2025-08-14T21:37:23.5415847Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_weighted_vbe_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_weighted_vbe_kernel_cta.hip [ok] 2025-08-14T21:37:23.5441763Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_lars_sgd_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_lars_sgd_split_device_kernel_hip.cuh [ok] 2025-08-14T21:37:23.5497161Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lars_sgd_split_unweighted_nobag_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lars_sgd_split_unweighted_nobag_kernel_warp.hip [ok] 2025-08-14T21:37:23.5498101Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_adagrad_with_weight_decay_pt2_cuda_wrapper.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_adagrad_with_weight_decay_pt2_cuda_wrapper.cpp [skipped, no changes] 2025-08-14T21:37:23.5505018Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lamb_split_unweighted_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lamb_split_unweighted_meta_hip.cpp [ok] 2025-08-14T21:37:23.5505869Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_sgd_pt2_cpu_wrapper.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_sgd_pt2_cpu_wrapper.cpp [skipped, no changes] 2025-08-14T21:37:23.5514964Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_partial_rowwise_adam_cpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_partial_rowwise_adam_cpu_hip.cpp [ok] 2025-08-14T21:37:23.5569984Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_unweighted_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_unweighted_hip.hip [ok] 2025-08-14T21:37:23.6143163Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_kernel_warp.hip [ok] 2025-08-14T21:37:23.6209549Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lars_sgd_split_unweighted_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lars_sgd_split_unweighted_kernel_warp.hip [ok] 2025-08-14T21:37:23.6216434Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_ssd_unweighted_nobag_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_ssd_unweighted_nobag_device_kernel_hip.cuh [ok] 2025-08-14T21:37:23.6279374Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_hip.hip [ok] 2025-08-14T21:37:23.6295199Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_approx_rowwise_adagrad_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_approx_rowwise_adagrad_split_device_kernel_hip.cuh [ok] 2025-08-14T21:37:23.6296110Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_none_pt2_cpu_wrapper.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_none_pt2_cpu_wrapper.cpp [skipped, no changes] 2025-08-14T21:37:23.6807865Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_ssd_unweighted_nobag_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_ssd_unweighted_nobag_kernel_cta.hip [ok] 2025-08-14T21:37:23.6812445Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_weighted_codegen_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_weighted_codegen_meta.cpp [skipped, no changes] 2025-08-14T21:37:23.7029196Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_weighted_int2_codegen_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_weighted_int2_codegen_hip.hip [ok] 2025-08-14T21:37:23.7394389Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_none_split_unweighted_nobag_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_none_split_unweighted_nobag_kernel_cta.hip [ok] 2025-08-14T21:37:23.7603296Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_fp32_codegen_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_fp32_codegen_hip.hip [ok] 2025-08-14T21:37:23.7659856Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_vbe_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_vbe_hip.hip [ok] 2025-08-14T21:37:23.7712425Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_lars_sgd.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_lars_sgd_hip.cpp [ok] 2025-08-14T21:37:23.7774799Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_weighted_gwd_codegen_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_weighted_gwd_codegen_hip.hip [ok] 2025-08-14T21:37:23.7781263Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_meta_hip.cpp [ok] 2025-08-14T21:37:24.0186728Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_split_unweighted_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_split_unweighted_kernel_warp.hip [ok] 2025-08-14T21:37:24.0268457Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_pt2_cuda_wrapper.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_pt2_hip_wrapper.cpp [ok] 2025-08-14T21:37:24.0321810Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_unweighted_vbe_codegen_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_unweighted_vbe_codegen_hip.hip [ok] 2025-08-14T21:37:24.0810301Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_unweighted_nobag_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_unweighted_nobag_kernel_warp.hip [ok] 2025-08-14T21:37:24.0859050Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_unweighted_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_unweighted_hip.hip [ok] 2025-08-14T21:37:24.0869435Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_approx_rowwise_adagrad_pt2_autograd.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_approx_rowwise_adagrad_pt2_autograd_hip.cpp [ok] 2025-08-14T21:37:24.0920682Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_unweighted_nobag_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_unweighted_nobag_hip.hip [ok] 2025-08-14T21:37:24.0971611Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_none_split_unweighted_nobag_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_none_split_unweighted_nobag_hip.hip [ok] 2025-08-14T21:37:24.0995301Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_cpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_cpu_hip.cpp [ok] 2025-08-14T21:37:24.1058959Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_ssd_unweighted_nobag_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_ssd_unweighted_nobag_hip.hip [ok] 2025-08-14T21:37:24.1059933Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_lamb_pt2_cpu_wrapper.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_lamb_pt2_cpu_wrapper.cpp [skipped, no changes] 2025-08-14T21:37:24.1190040Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_adagrad.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_adagrad_hip.cpp [ok] 2025-08-14T21:37:24.1382002Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_int2_codegen_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_int2_codegen_hip.hip [ok] 2025-08-14T21:37:24.1478035Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_weighted_vbe_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_weighted_vbe_kernel_warp.hip [ok] 2025-08-14T21:37:24.2039429Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_gwd_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_gwd_kernel_cta.hip [ok] 2025-08-14T21:37:24.2090727Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_weighted_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_weighted_hip.hip [ok] 2025-08-14T21:37:24.2108097Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_rowwise_adagrad_with_weight_decay.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_rowwise_adagrad_with_weight_decay_hip.cpp [ok] 2025-08-14T21:37:24.2124504Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_rowwise_adagrad.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_rowwise_adagrad_hip.cpp [ok] 2025-08-14T21:37:24.2131127Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_ssd_unweighted_nobag_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_ssd_unweighted_nobag_meta_hip.cpp [ok] 2025-08-14T21:37:24.2252024Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_forward_kernel.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_forward_kernel.hip [ok] 2025-08-14T21:37:24.2827679Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_lamb_split_unweighted_nobag_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_lamb_split_unweighted_nobag_kernel_cta.hip [ok] 2025-08-14T21:37:24.2840728Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/assert_macros.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/assert_macros.h [skipped, no changes] 2025-08-14T21:37:24.2897814Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_indice_weights_codegen_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_indice_weights_codegen_hip.hip [ok] 2025-08-14T21:37:24.2905612Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_approx_sgd_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_approx_sgd_split_device_kernel_hip.cuh [ok] 2025-08-14T21:37:24.2915190Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_none_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_none_split_device_kernel_hip.cuh [ok] 2025-08-14T21:37:24.2983344Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_ssd_weighted_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_ssd_weighted_hip.hip [ok] 2025-08-14T21:37:24.3005034Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/pt2_arg_utils_ssd.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/pt2_arg_utils_ssd.h [skipped, no changes] 2025-08-14T21:37:24.3085851Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_ssd_rowwise_adagrad_pt2_autograd.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_ssd_rowwise_adagrad_pt2_autograd_hip.cpp [ok] 2025-08-14T21:37:24.3093820Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_lamb_cpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_lamb_cpu_hip.cpp [ok] 2025-08-14T21:37:24.3104848Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_rowwise_adagrad_with_weight_decay_pt2_autograd.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_rowwise_adagrad_with_weight_decay_pt2_autograd_hip.cpp [ok] 2025-08-14T21:37:24.3636281Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_kernel_cta.hip [ok] 2025-08-14T21:37:24.3702470Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_ssd_partial_rowwise_adam_pt2_autograd.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_ssd_partial_rowwise_adam_pt2_autograd_hip.cpp [ok] 2025-08-14T21:37:24.5907519Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_split_unweighted_nobag_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_split_unweighted_nobag_kernel_cta.hip [ok] 2025-08-14T21:37:24.5991077Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lamb_split_weighted_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lamb_split_weighted_kernel_warp.hip [ok] 2025-08-14T21:37:24.6049367Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_ssd_unweighted_vbe_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_ssd_unweighted_vbe_hip.hip [ok] 2025-08-14T21:37:24.6114286Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_split_unweighted_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_split_unweighted_hip.hip [ok] 2025-08-14T21:37:24.6177978Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_lars_sgd_pt2_cuda_wrapper.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_lars_sgd_pt2_hip_wrapper.cpp [ok] 2025-08-14T21:37:24.6273952Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_adagrad_with_counter.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_adagrad_with_counter_hip.cpp [ok] 2025-08-14T21:37:24.6491961Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_weighted_fp32_codegen_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_weighted_fp32_codegen_hip.hip [ok] 2025-08-14T21:37:24.6499983Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_ssd_weighted_vbe_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_ssd_weighted_vbe_meta_hip.cpp [ok] 2025-08-14T21:37:24.8111727Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_vbe_gwd_kernel.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_vbe_gwd_kernel.hip [ok] 2025-08-14T21:37:24.8118847Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_none_cpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_none_cpu_hip.cpp [ok] 2025-08-14T21:37:24.8201420Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_ssd_rowwise_adagrad.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_ssd_rowwise_adagrad_hip.cpp [ok] 2025-08-14T21:37:24.8209942Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/pt2_autograd_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/pt2_autograd_utils.h [skipped, no changes] 2025-08-14T21:37:24.8234900Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_sgd_pt2_cpu_wrapper.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_sgd_pt2_cpu_wrapper_hip.cpp [ok] 2025-08-14T21:37:24.8703372Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_unweighted_vbe_kernel.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_unweighted_vbe_kernel.hip [ok] 2025-08-14T21:37:24.8993558Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_unweighted_nobag_kernel.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_unweighted_nobag_kernel.hip [ok] 2025-08-14T21:37:24.9408283Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_unweighted_nobag_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_unweighted_nobag_kernel_cta.hip [ok] 2025-08-14T21:37:24.9415459Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_none_split_weighted_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_none_split_weighted_meta_hip.cpp [ok] 2025-08-14T21:37:24.9474636Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_weighted_codegen_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_weighted_codegen_hip.hip [ok] 2025-08-14T21:37:24.9481267Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_unweighted_nobag_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_unweighted_nobag_meta_hip.cpp [ok] 2025-08-14T21:37:24.9482445Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/pt2_arg_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/pt2_arg_utils.h [skipped, no changes] 2025-08-14T21:37:24.9499441Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_sgd.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_sgd_hip.cpp [ok] 2025-08-14T21:37:25.1893137Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_split_weighted_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_split_weighted_kernel_cta.hip [ok] 2025-08-14T21:37:25.1957461Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_unweighted_codegen_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_unweighted_codegen_hip.hip [ok] 2025-08-14T21:37:25.2016878Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_vbe_gwd_codegen_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_vbe_gwd_codegen_hip.hip [ok] 2025-08-14T21:37:25.2025684Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_dense_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_dense_split_device_kernel_hip.cuh [ok] 2025-08-14T21:37:25.2122658Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_weighted_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_weighted_kernel_cta.hip [ok] 2025-08-14T21:37:25.2132199Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_ssd_weighted_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_ssd_weighted_meta_hip.cpp [ok] 2025-08-14T21:37:25.2725002Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_ssd_weighted_vbe_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_ssd_weighted_vbe_kernel_cta.hip [ok] 2025-08-14T21:37:25.2819782Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_unweighted_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_unweighted_kernel_cta.hip [ok] 2025-08-14T21:37:25.2889264Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_partial_rowwise_lamb_pt2_cuda_wrapper.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_partial_rowwise_lamb_pt2_hip_wrapper.cpp [ok] 2025-08-14T21:37:25.2897264Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_none_split_unweighted_nobag_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_none_split_unweighted_nobag_meta_hip.cpp [ok] 2025-08-14T21:37:25.3263545Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_unweighted_kernel.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_unweighted_kernel.hip [ok] 2025-08-14T21:37:25.3279419Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_with_weight_decay_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_with_weight_decay_split_device_kernel_hip.cuh [ok] 2025-08-14T21:37:25.3563691Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_nobag_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_nobag_kernel_warp.hip [ok] 2025-08-14T21:37:25.3569867Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_meta_hip.cpp [ok] 2025-08-14T21:37:25.3656042Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lamb_split_unweighted_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lamb_split_unweighted_kernel_cta.hip [ok] 2025-08-14T21:37:25.3701489Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_host_weighted_codegen_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_host_weighted_codegen_hip.hip [ok] 2025-08-14T21:37:25.3743144Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_hip.hip [ok] 2025-08-14T21:37:25.4358291Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_gwd_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_gwd_kernel_cta.hip [ok] 2025-08-14T21:37:25.4646091Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_fp8_codegen_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_fp8_codegen_hip.hip [ok] 2025-08-14T21:37:25.6365433Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_weighted_vbe_gwd_kernel.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_weighted_vbe_gwd_kernel.hip [ok] 2025-08-14T21:37:25.6440838Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_lamb.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_lamb_hip.cpp [ok] 2025-08-14T21:37:25.7106218Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_kernel.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_kernel.hip [ok] 2025-08-14T21:37:25.7194463Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_unweighted_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_unweighted_kernel_warp.hip [ok] 2025-08-14T21:37:25.8665610Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_weighted_vbe_kernel.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_weighted_vbe_kernel.hip [ok] 2025-08-14T21:37:25.9224649Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_ssd_unweighted_vbe_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_ssd_unweighted_vbe_kernel_warp.hip [ok] 2025-08-14T21:37:25.9235595Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_rowwise_adagrad_cpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_rowwise_adagrad_cpu_hip.cpp [ok] 2025-08-14T21:37:25.9266316Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_unweighted_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_unweighted_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:25.9273326Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_weighted_adagrad_cpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_weighted_adagrad_cpu_hip.cpp [ok] 2025-08-14T21:37:25.9345813Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_with_counter_split_weighted_vbe_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_with_counter_split_weighted_vbe_hip.hip [ok] 2025-08-14T21:37:25.9524925Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_fp32_codegen_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_fp32_codegen_hip.hip [ok] 2025-08-14T21:37:26.0005800Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_unweighted_vbe_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_unweighted_vbe_kernel_warp.hip [ok] 2025-08-14T21:37:26.0006915Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_meta_hip.cpp [ok] 2025-08-14T21:37:26.0075323Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_weighted_vbe_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_weighted_vbe_hip.hip [ok] 2025-08-14T21:37:26.0130090Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lars_sgd_split_unweighted_nobag_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lars_sgd_split_unweighted_nobag_kernel_cta.hip [ok] 2025-08-14T21:37:26.0186910Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_ssd_unweighted_nobag_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_ssd_unweighted_nobag_hip.hip [ok] 2025-08-14T21:37:26.0813140Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_ssd_weighted_vbe_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_ssd_weighted_vbe_kernel_warp.hip [ok] 2025-08-14T21:37:26.0857005Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp [ok] 2025-08-14T21:37:26.0924776Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_lamb_split_unweighted_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_lamb_split_unweighted_hip.hip [ok] 2025-08-14T21:37:26.1064850Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_unweighted_nobag_kernel_small.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_unweighted_nobag_kernel_small.hip [ok] 2025-08-14T21:37:26.1089272Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lars_sgd_split_unweighted_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lars_sgd_split_unweighted_kernel_cta.hip [ok] 2025-08-14T21:37:26.1735875Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_gwd_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_gwd_kernel_cta.hip [ok] 2025-08-14T21:37:26.1884527Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_adagrad_pt2_cuda_wrapper.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_adagrad_pt2_hip_wrapper.cpp [ok] 2025-08-14T21:37:26.2169198Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_nobag_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_nobag_kernel_cta.hip [ok] 2025-08-14T21:37:26.2257487Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lamb_split_weighted_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lamb_split_weighted_kernel_cta.hip [ok] 2025-08-14T21:37:26.2290119Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_pt2_cpu_wrapper.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_pt2_cpu_wrapper_hip.cpp [ok] 2025-08-14T21:37:26.2297685Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_split_weighted_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_split_weighted_meta_hip.cpp [ok] 2025-08-14T21:37:26.2355983Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_weighted_vbe_codegen_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_weighted_vbe_codegen_hip.hip [ok] 2025-08-14T21:37:26.2385547Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/hipblaslt_test_vec_ext.cc -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/hipblaslt_test_vec_ext.cc [skipped, no changes] 2025-08-14T21:37:26.2437937Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lars_sgd_split_weighted_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lars_sgd_split_weighted_kernel_cta.hip [ok] 2025-08-14T21:37:26.2509207Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_ssd_rowwise_adagrad_pt2_cuda_wrapper.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_ssd_rowwise_adagrad_pt2_hip_wrapper.cpp [ok] 2025-08-14T21:37:26.2567079Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_partial_rowwise_adam.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_partial_rowwise_adam_hip.cpp [ok] 2025-08-14T21:37:26.2675394Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_unweighted_nobag_kernel_small.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_unweighted_nobag_kernel_small.hip [ok] 2025-08-14T21:37:26.2679412Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_unweighted_vbe_codegen_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_unweighted_vbe_codegen_meta.cpp [skipped, no changes] 2025-08-14T21:37:26.3510508Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_vbe_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_vbe_kernel_warp.hip [ok] 2025-08-14T21:37:26.3558049Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lamb_split_unweighted_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lamb_split_unweighted_hip.hip [ok] 2025-08-14T21:37:26.4051935Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_int8_codegen_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_int8_codegen_hip.hip [ok] 2025-08-14T21:37:26.4116635Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_partial_rowwise_adam_pt2_autograd.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_partial_rowwise_adam_pt2_autograd_hip.cpp [ok] 2025-08-14T21:37:26.4644145Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_int8_codegen_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_int8_codegen_hip.hip [ok] 2025-08-14T21:37:26.4998128Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_backward_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_backward_kernel_cta.hip [ok] 2025-08-14T21:37:26.5010778Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_meta_hip.cpp [ok] 2025-08-14T21:37:26.5011844Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/pt2_arg_utils_ssd.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/pt2_arg_utils_ssd.h [skipped, no changes] 2025-08-14T21:37:26.5129230Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_rowwise_adagrad_with_counter_pt2_autograd.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_rowwise_adagrad_with_counter_pt2_autograd_hip.cpp [ok] 2025-08-14T21:37:26.5675880Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_unweighted_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_unweighted_kernel_cta.hip [ok] 2025-08-14T21:37:26.5705308Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_adam_pt2_cpu_wrapper.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_adam_pt2_cpu_wrapper.cpp [skipped, no changes] 2025-08-14T21:37:26.5706634Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_adagrad_with_weight_decay.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_adagrad_with_weight_decay_hip.cpp [ok] 2025-08-14T21:37:26.5745693Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_partial_rowwise_adam_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_partial_rowwise_adam_split_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:26.6003856Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_weighted_fp16_codegen_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_weighted_fp16_codegen_hip.hip [ok] 2025-08-14T21:37:26.6012587Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_ssd_unweighted_vbe_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_ssd_unweighted_vbe_meta_hip.cpp [ok] 2025-08-14T21:37:26.6028808Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_lars_sgd_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_lars_sgd_split_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:26.6357355Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_weighted_fp8_codegen_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_weighted_fp8_codegen_hip.hip [ok] 2025-08-14T21:37:26.6358364Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_rowwise_adagrad_with_counter_pt2_cpu_wrapper.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_rowwise_adagrad_with_counter_pt2_cpu_wrapper.cpp [skipped, no changes] 2025-08-14T21:37:26.6362283Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_weighted_vbe_codegen_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_weighted_vbe_codegen_meta.cpp [skipped, no changes] 2025-08-14T21:37:26.6420491Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_gwd_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_gwd_hip.hip [ok] 2025-08-14T21:37:26.7148797Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_weighted_kernel.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_weighted_kernel.hip [ok] 2025-08-14T21:37:26.7201838Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_weighted_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_weighted_hip.hip [ok] 2025-08-14T21:37:26.7212703Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_approx_rowwise_adagrad_with_weight_decay_pt2_autograd.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_approx_rowwise_adagrad_with_weight_decay_pt2_autograd_hip.cpp [ok] 2025-08-14T21:37:26.7253979Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_partial_rowwise_lamb_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_partial_rowwise_lamb_split_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:26.7294178Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_meta_hip.cpp [ok] 2025-08-14T21:37:26.7295630Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_lamb_split_unweighted_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_lamb_split_unweighted_meta_hip.cpp [ok] 2025-08-14T21:37:26.7748135Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_weighted_vbe_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_weighted_vbe_kernel_cta.hip [ok] 2025-08-14T21:37:26.8054897Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_nobag_kernel.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_nobag_kernel.hip [ok] 2025-08-14T21:37:26.8102819Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_gwd_codegen_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_gwd_codegen_hip.hip [ok] 2025-08-14T21:37:26.8112828Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_ssd_unweighted_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_ssd_unweighted_meta_hip.cpp [ok] 2025-08-14T21:37:26.8496431Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_vbe_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_vbe_kernel_warp.hip [ok] 2025-08-14T21:37:26.8509757Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_weighted_adagrad_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_weighted_adagrad_split_device_kernel_hip.cuh [ok] 2025-08-14T21:37:26.9146659Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_gwd_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_gwd_kernel_warp.hip [ok] 2025-08-14T21:37:26.9638355Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_unweighted_nobag_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_unweighted_nobag_kernel_cta.hip [ok] 2025-08-14T21:37:27.0203333Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_kernel_cta.hip [ok] 2025-08-14T21:37:27.0517780Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_kernel_warp.hip [ok] 2025-08-14T21:37:27.3080558Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_ssd_weighted_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_ssd_weighted_kernel_warp.hip [ok] 2025-08-14T21:37:27.4427169Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_vbe_kernel.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_vbe_kernel.hip [ok] 2025-08-14T21:37:27.4842505Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_weighted_kernel.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_weighted_kernel.hip [ok] 2025-08-14T21:37:27.4894128Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_none_split_unweighted_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_none_split_unweighted_hip.hip [ok] 2025-08-14T21:37:27.4902948Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_unweighted_nobag_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_unweighted_nobag_meta_hip.cpp [ok] 2025-08-14T21:37:27.5264428Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_none_split_unweighted_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_none_split_unweighted_kernel_warp.hip [ok] 2025-08-14T21:37:27.5294335Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp [ok] 2025-08-14T21:37:27.5357647Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_unweighted_codegen_cpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_unweighted_codegen_cpu_hip.cpp [ok] 2025-08-14T21:37:27.5367248Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_partial_rowwise_lamb_cpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_partial_rowwise_lamb_cpu_hip.cpp [ok] 2025-08-14T21:37:27.5425608Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_weighted_vbe_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_weighted_vbe_hip.hip [ok] 2025-08-14T21:37:27.5478095Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_unweighted_vbe_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_unweighted_vbe_hip.hip [ok] 2025-08-14T21:37:27.5488336Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_rowwise_weighted_adagrad_pt2_autograd.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_rowwise_weighted_adagrad_pt2_autograd_hip.cpp [ok] 2025-08-14T21:37:27.5572319Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lamb_split_unweighted_nobag_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lamb_split_unweighted_nobag_kernel_cta.hip [ok] 2025-08-14T21:37:27.6129823Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_ssd_unweighted_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_ssd_unweighted_kernel_warp.hip [ok] 2025-08-14T21:37:27.6644205Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_weighted_vbe_kernel.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_weighted_vbe_kernel.hip [ok] 2025-08-14T21:37:27.6649160Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_weighted_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_weighted_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:27.6705403Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_none_split_weighted_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_none_split_weighted_hip.hip [ok] 2025-08-14T21:37:27.6727501Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_approx_rowwise_adagrad_with_counter_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_approx_rowwise_adagrad_with_counter_split_device_kernel_hip.cuh [ok] 2025-08-14T21:37:27.6792681Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_partial_rowwise_lamb_pt2_autograd.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_partial_rowwise_lamb_pt2_autograd_hip.cpp [ok] 2025-08-14T21:37:27.7181317Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_vbe_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_vbe_kernel_cta.hip [ok] 2025-08-14T21:37:27.7190025Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_weighted_codegen_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_weighted_codegen_meta.cpp [skipped, no changes] 2025-08-14T21:37:27.7540133Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_fp16_codegen_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_fp16_codegen_hip.hip [ok] 2025-08-14T21:37:27.7542111Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_weighted_adagrad_pt2_cuda_wrapper.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_weighted_adagrad_pt2_cuda_wrapper.cpp [skipped, no changes] 2025-08-14T21:37:27.7614562Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_ssd_unweighted_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_ssd_unweighted_hip.hip [ok] 2025-08-14T21:37:27.7708911Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_hip.hip [ok] 2025-08-14T21:37:27.7778097Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_nobag_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_nobag_hip.hip [ok] 2025-08-14T21:37:27.7891956Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_sgd_pt2_cuda_wrapper.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_sgd_pt2_hip_wrapper.cpp [ok] 2025-08-14T21:37:27.7955297Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_weighted_codegen_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_weighted_codegen_hip.hip [ok] 2025-08-14T21:37:27.7963493Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_weighted_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_weighted_meta_hip.cpp [ok] 2025-08-14T21:37:27.7970861Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lars_sgd_split_unweighted_nobag_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lars_sgd_split_unweighted_nobag_meta_hip.cpp [ok] 2025-08-14T21:37:27.8024608Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_forward_codegen_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_forward_codegen_hip.hip [ok] 2025-08-14T21:37:27.8047584Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_grad_embedding_ops.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_grad_embedding_ops.hip [ok] 2025-08-14T21:37:27.8066340Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_rowwise_adagrad_with_counter.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_rowwise_adagrad_with_counter_hip.cpp [ok] 2025-08-14T21:37:27.8131430Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_lamb_pt2_autograd.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_lamb_pt2_autograd_hip.cpp [ok] 2025-08-14T21:37:27.8192392Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_ssd_weighted_vbe_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_ssd_weighted_vbe_hip.hip [ok] 2025-08-14T21:37:27.8261026Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_split_weighted_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_split_weighted_hip.hip [ok] 2025-08-14T21:37:27.8331188Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_lamb_pt2_cuda_wrapper.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_lamb_pt2_hip_wrapper.cpp [ok] 2025-08-14T21:37:27.8384670Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lamb_split_weighted_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lamb_split_weighted_hip.hip [ok] 2025-08-14T21:37:27.8457264Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lars_sgd_split_weighted_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lars_sgd_split_weighted_kernel_warp.hip [ok] 2025-08-14T21:37:27.8623056Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_rowwise_adagrad_pt2_autograd.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_rowwise_adagrad_pt2_autograd_hip.cpp [ok] 2025-08-14T21:37:27.8623992Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_adagrad_with_weight_decay_pt2_cpu_wrapper.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_adagrad_with_weight_decay_pt2_cpu_wrapper.cpp [skipped, no changes] 2025-08-14T21:37:27.8935162Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_fp8_codegen_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_fp8_codegen_hip.hip [ok] 2025-08-14T21:37:27.9214568Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_fp16_codegen_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_fp16_codegen_hip.hip [ok] 2025-08-14T21:37:27.9220558Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_ssd_weighted_vbe_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_ssd_weighted_vbe_device_kernel_hip.cuh [ok] 2025-08-14T21:37:27.9227429Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_ssd_unweighted_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_ssd_unweighted_device_kernel_hip.cuh [ok] 2025-08-14T21:37:27.9319521Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_forward_kernel_small.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_forward_kernel_small.hip [ok] 2025-08-14T21:37:27.9834603Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_nobag_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_nobag_kernel_cta.hip [ok] 2025-08-14T21:37:27.9840988Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_rowwise_adagrad_pt2_cuda_wrapper.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_rowwise_adagrad_pt2_cuda_wrapper.cpp [skipped, no changes] 2025-08-14T21:37:28.0249977Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_none_split_weighted_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_none_split_weighted_kernel_cta.hip [ok] 2025-08-14T21:37:28.0301637Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_unweighted_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_unweighted_hip.hip [ok] 2025-08-14T21:37:28.0845659Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_weighted_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_weighted_kernel_cta.hip [ok] 2025-08-14T21:37:28.0849944Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_ssd_unweighted_nobag_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_ssd_unweighted_nobag_meta_hip.cpp [ok] 2025-08-14T21:37:28.0989272Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_adam_pt2_cuda_wrapper.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_adam_pt2_hip_wrapper.cpp [ok] 2025-08-14T21:37:28.0999327Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_adagrad_with_counter_cpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_adagrad_with_counter_cpu_hip.cpp [ok] 2025-08-14T21:37:28.1055959Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_indice_weights_codegen_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_indice_weights_codegen_hip.hip [ok] 2025-08-14T21:37:28.1109933Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_weighted_vbe_codegen_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_weighted_vbe_codegen_hip.hip [ok] 2025-08-14T21:37:28.1116800Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_vbe_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_vbe_meta_hip.cpp [ok] 2025-08-14T21:37:28.1180025Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_gwd_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_gwd_hip.hip [ok] 2025-08-14T21:37:28.1225075Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_hip.hip [ok] 2025-08-14T21:37:28.1232071Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_unweighted_vbe_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_unweighted_vbe_meta_hip.cpp [ok] 2025-08-14T21:37:28.1823833Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_kernel_cta.hip [ok] 2025-08-14T21:37:28.1828922Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_sgd_cpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_sgd_cpu_hip.cpp [ok] 2025-08-14T21:37:28.2171951Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_kernel_warp.hip [ok] 2025-08-14T21:37:28.2179217Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_weighted_codegen_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_weighted_codegen_meta.cpp [skipped, no changes] 2025-08-14T21:37:28.2246501Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_vbe_codegen_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_vbe_codegen_hip.hip [ok] 2025-08-14T21:37:28.3369753Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_unweighted_kernel.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_unweighted_kernel.hip [ok] 2025-08-14T21:37:28.3767280Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_none_split_unweighted_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_none_split_unweighted_kernel_cta.hip [ok] 2025-08-14T21:37:28.3828623Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_lamb_split_weighted_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_lamb_split_weighted_hip.hip [ok] 2025-08-14T21:37:28.3845330Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_weighted_adagrad.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_weighted_adagrad_hip.cpp [ok] 2025-08-14T21:37:28.3846243Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_weighted_adagrad_pt2_cpu_wrapper.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_weighted_adagrad_pt2_cpu_wrapper.cpp [skipped, no changes] 2025-08-14T21:37:28.3945543Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_unweighted_vbe_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_unweighted_vbe_kernel_cta.hip [ok] 2025-08-14T21:37:28.3952676Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_ssd_weighted_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_ssd_weighted_meta_hip.cpp [ok] 2025-08-14T21:37:28.4748219Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_with_counter_split_weighted_vbe_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_with_counter_split_weighted_vbe_kernel_cta.hip [ok] 2025-08-14T21:37:28.4824025Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lamb_split_unweighted_nobag_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lamb_split_unweighted_nobag_kernel_warp.hip [ok] 2025-08-14T21:37:28.4824985Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_rowwise_adagrad_with_weight_decay_pt2_cpu_wrapper.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_rowwise_adagrad_with_weight_decay_pt2_cpu_wrapper.cpp [skipped, no changes] 2025-08-14T21:37:28.5228079Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_vbe_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_vbe_kernel_cta.hip [ok] 2025-08-14T21:37:28.5272379Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_none.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_none_hip.cpp [ok] 2025-08-14T21:37:28.5317044Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_ssd_partial_rowwise_adam_pt2_cuda_wrapper.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_ssd_partial_rowwise_adam_pt2_hip_wrapper.cpp [ok] 2025-08-14T21:37:28.5317985Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_adagrad_with_counter_pt2_cpu_wrapper.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_adagrad_with_counter_pt2_cpu_wrapper.cpp [skipped, no changes] 2025-08-14T21:37:28.5367945Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_vbe_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_vbe_hip.hip [ok] 2025-08-14T21:37:28.5382286Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_meta_hip.cpp [ok] 2025-08-14T21:37:28.5414951Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_adagrad_pt2_cpu_wrapper.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_adagrad_pt2_cpu_wrapper_hip.cpp [ok] 2025-08-14T21:37:28.5750598Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_none_split_unweighted_nobag_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_none_split_unweighted_nobag_kernel_warp.hip [ok] 2025-08-14T21:37:28.5770696Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_adagrad_pt2_cpu_wrapper.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_adagrad_pt2_cpu_wrapper_hip.cpp [ok] 2025-08-14T21:37:28.5831806Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_lars_sgd_pt2_autograd.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_lars_sgd_pt2_autograd_hip.cpp [ok] 2025-08-14T21:37:28.6456223Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_lamb_split_unweighted_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_lamb_split_unweighted_kernel_warp.hip [ok] 2025-08-14T21:37:28.6509806Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_lamb_split_unweighted_nobag_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_lamb_split_unweighted_nobag_hip.hip [ok] 2025-08-14T21:37:28.6533390Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_with_counter_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_with_counter_split_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:28.6541683Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_vbe_codegen_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_vbe_codegen_meta.cpp [skipped, no changes] 2025-08-14T21:37:28.6580797Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_host_unweighted_codegen_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_host_unweighted_codegen_hip.hip [ok] 2025-08-14T21:37:28.7192582Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_gwd_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_gwd_kernel_warp.hip [ok] 2025-08-14T21:37:28.7247235Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_none_pt2_cuda_wrapper.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_none_pt2_hip_wrapper.cpp [ok] 2025-08-14T21:37:28.7605994Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_vbe_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_vbe_kernel_warp.hip [ok] 2025-08-14T21:37:28.7666300Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_gwd_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_gwd_hip.hip [ok] 2025-08-14T21:37:28.7676191Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_nobag_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_nobag_meta_hip.cpp [ok] 2025-08-14T21:37:28.7832077Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_adagrad_with_counter_pt2_cuda_wrapper.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_adagrad_with_counter_pt2_hip_wrapper.cpp [ok] 2025-08-14T21:37:28.8638769Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_with_counter_split_weighted_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_with_counter_split_weighted_kernel_warp.hip [ok] 2025-08-14T21:37:28.9339953Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_nobag_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_nobag_kernel_cta.hip [ok] 2025-08-14T21:37:28.9905049Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_gwd_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_gwd_kernel_warp.hip [ok] 2025-08-14T21:37:28.9949914Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lars_sgd_split_unweighted_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lars_sgd_split_unweighted_hip.hip [ok] 2025-08-14T21:37:29.0542937Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_gwd_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_gwd_kernel_cta.hip [ok] 2025-08-14T21:37:29.0551767Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_weighted_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_weighted_meta_hip.cpp [ok] 2025-08-14T21:37:29.0650749Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_nobag_kernel_small.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_nobag_kernel_small.hip [ok] 2025-08-14T21:37:29.0739102Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_unweighted_nobag_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_unweighted_nobag_kernel_warp.hip [ok] 2025-08-14T21:37:29.0797445Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_unweighted_codegen_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_unweighted_codegen_hip.hip [ok] 2025-08-14T21:37:29.0804557Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_lamb_split_unweighted_nobag_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_lamb_split_unweighted_nobag_meta_hip.cpp [ok] 2025-08-14T21:37:29.0855099Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_pt2_cuda_wrapper.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_pt2_hip_wrapper.cpp [ok] 2025-08-14T21:37:29.0864288Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_adam_cpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_adam_cpu_hip.cpp [ok] 2025-08-14T21:37:29.0870832Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_unweighted_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_unweighted_meta_hip.cpp [ok] 2025-08-14T21:37:29.0877958Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_weighted_vbe_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_weighted_vbe_meta_hip.cpp [ok] 2025-08-14T21:37:29.0941729Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_ssd_indice_weights_codegen_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_ssd_indice_weights_codegen_hip.hip [ok] 2025-08-14T21:37:29.0949721Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_adagrad_with_weight_decay_cpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_adagrad_with_weight_decay_cpu_hip.cpp [ok] 2025-08-14T21:37:29.0958578Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_weighted_vbe_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_weighted_vbe_meta_hip.cpp [ok] 2025-08-14T21:37:29.0962474Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_common_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_common_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:29.1006203Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_nobag_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_nobag_hip.hip [ok] 2025-08-14T21:37:29.1347142Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_kernel_cta.hip [ok] 2025-08-14T21:37:29.1356186Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_approx_rowwise_adagrad_with_counter_pt2_autograd.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_approx_rowwise_adagrad_with_counter_pt2_autograd_hip.cpp [ok] 2025-08-14T21:37:29.1367945Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_adagrad_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_adagrad_split_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:29.1384621Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_partial_rowwise_adam_ssd_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_partial_rowwise_adam_ssd_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:29.1858365Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_unweighted_vbe_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_unweighted_vbe_kernel_cta.hip [ok] 2025-08-14T21:37:29.2500371Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_lamb_split_weighted_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_lamb_split_weighted_kernel_warp.hip [ok] 2025-08-14T21:37:29.5093460Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_split_weighted_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_split_weighted_kernel_warp.hip [ok] 2025-08-14T21:37:29.5182265Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_adam.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_adam_hip.cpp [ok] 2025-08-14T21:37:29.5201307Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_sgd_cpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_sgd_cpu_hip.cpp [ok] 2025-08-14T21:37:29.5245733Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lamb_split_unweighted_nobag_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lamb_split_unweighted_nobag_hip.hip [ok] 2025-08-14T21:37:29.5800807Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_ssd_weighted_kernel_cta.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_ssd_weighted_kernel_cta.hip [ok] 2025-08-14T21:37:29.5881185Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lamb_split_unweighted_kernel_warp.cu -> 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2025-08-14T21:37:31.4929010Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_kernel_nobag_small_template.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_kernel_nobag_small_template.hip [ok] 2025-08-14T21:37:31.4941203Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_nobag_cpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_nobag_cpu_hip.cpp [ok] 2025-08-14T21:37:31.4972664Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/inference/embedding_forward_quantized_split_nbit_kernel_template.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/inference/embedding_forward_quantized_split_nbit_kernel_template.hip [ok] 2025-08-14T21:37:31.4986120Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/inference/embedding_forward_quantized_split_lookup.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/inference/embedding_forward_quantized_split_lookup.hip [ok] 2025-08-14T21:37:31.5014632Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/inference/embedding_forward_quantized_host.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/inference/embedding_forward_quantized_host_hip.cpp [ok] 2025-08-14T21:37:31.5041473Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/inference/embedding_forward_quantized_split_nbit_host_template.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/inference/embedding_forward_quantized_split_nbit_host_template.hip [ok] 2025-08-14T21:37:31.5077426Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/inference/embedding_forward_quantized_cpu_template.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/inference/embedding_forward_quantized_cpu_template_hip.cpp [ok] 2025-08-14T21:37:31.5110599Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/inference/embedding_forward_quantized_host_cpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/inference/embedding_forward_quantized_host_cpu_hip.cpp [ok] 2025-08-14T21:37:31.5113101Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/placeholder.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/placeholder.cpp [skipped, no changes] 2025-08-14T21:37:31.5115062Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/topology_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/topology_utils.h [skipped, no changes] 2025-08-14T21:37:31.5123923Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/topology_utils.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/topology_utils_hip.cpp [ok] 2025-08-14T21:37:31.5150657Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/histogram_binning_calibration_ops.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/histogram_binning_calibration_ops.hip [ok] 2025-08-14T21:37:31.5160637Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/dram_kv_embedding_inference_wrapper.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/dram_kv_embedding_inference_wrapper.cpp [skipped, no changes] 2025-08-14T21:37:31.5179721Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/fixed_block_pool.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/fixed_block_pool.h [skipped, no changes] 2025-08-14T21:37:31.5182496Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/SynchronizedShardedMap.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/SynchronizedShardedMap.h [skipped, no changes] 2025-08-14T21:37:31.5186132Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/dram_kv_embedding_inference_wrapper.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/dram_kv_embedding_inference_wrapper.h [skipped, no changes] 2025-08-14T21:37:31.5204064Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/initializer.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/initializer.h [skipped, no changes] 2025-08-14T21:37:31.5256912Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/feature_evict.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/feature_evict.h [skipped, no changes] 2025-08-14T21:37:31.5269005Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/split_embeddings_cache/cachelib_cache.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/split_embeddings_cache/cachelib_cache.h [skipped, no changes] 2025-08-14T21:37:31.5294209Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/kv_db_table_batched_embeddings.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/kv_db_table_batched_embeddings_hip.h [ok] 2025-08-14T21:37:31.5305826Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/split_embeddings_cache/kv_db_cpp_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/split_embeddings_cache/kv_db_cpp_utils.h [skipped, no changes] 2025-08-14T21:37:31.5383815Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/dram_kv_embedding_cache.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/dram_kv_embedding_cache_hip.h [ok] 2025-08-14T21:37:31.5401050Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/fixed_block_pool.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/fixed_block_pool.h [skipped, no changes] 2025-08-14T21:37:31.5409766Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/kv_tensor_wrapper.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/kv_tensor_wrapper.h [skipped, no changes] 2025-08-14T21:37:31.5415839Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/dram_kv_embedding_cache_wrapper.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/dram_kv_embedding_cache_wrapper_hip.h [ok] 2025-08-14T21:37:31.5464103Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/feature_evict.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/feature_evict.h [skipped, no changes] 2025-08-14T21:37:31.5471803Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/layout_transform_ops/layout_transform_ops_cpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/layout_transform_ops/layout_transform_ops_cpu_hip.cpp [ok] 2025-08-14T21:37:31.5475949Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/layout_transform_ops/layout_transform_ops_gpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/layout_transform_ops/layout_transform_ops_gpu.cpp [skipped, no changes] 2025-08-14T21:37:31.5485850Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/layout_transform_ops.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/layout_transform_ops_hip.cuh [ok] 2025-08-14T21:37:31.5498146Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/layout_transform_ops/layout_transform_ops.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/layout_transform_ops/layout_transform_ops.hip [ok] 2025-08-14T21:37:31.5506896Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/sparse_ops.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/sparse_ops_hip.cuh [ok] 2025-08-14T21:37:31.5513230Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/binary_search_range.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/binary_search_range.cuh [skipped, no changes] 2025-08-14T21:37:31.5516186Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/log2.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/log2.h [skipped, no changes] 2025-08-14T21:37:31.5524313Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/common_hip.cuh [ok] 2025-08-14T21:37:31.5531418Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_async_cumsum.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_async_cumsum.hip [ok] 2025-08-14T21:37:31.5543209Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_permute_1d.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_permute_1d.hip [ok] 2025-08-14T21:37:31.5549141Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_permute102.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_permute102.hip [ok] 2025-08-14T21:37:31.5551982Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_invert_permute.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_invert_permute.hip [ok] 2025-08-14T21:37:31.5553669Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/common.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/common.h [skipped, no changes] 2025-08-14T21:37:31.5565086Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_pack_segments_forward.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_pack_segments_forward.hip [ok] 2025-08-14T21:37:31.5573994Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_range.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_range.hip [ok] 2025-08-14T21:37:31.5578559Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_pack_segments_backward.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_pack_segments_backward.hip [ok] 2025-08-14T21:37:31.5588296Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_ops_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_ops_meta.cpp [skipped, no changes] 2025-08-14T21:37:31.5620059Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_ops_gpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_ops_gpu.cpp [skipped, no changes] 2025-08-14T21:37:31.5624390Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_segment_sum_csr.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_segment_sum_csr.hip [ok] 2025-08-14T21:37:31.5630819Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_index_select.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_index_select.hip [ok] 2025-08-14T21:37:31.5640258Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_group_index.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_group_index.hip [ok] 2025-08-14T21:37:31.5650023Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_async_cumsum.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_async_cumsum_hip.cpp [ok] 2025-08-14T21:37:31.5659189Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_async_batched_cumsum.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_async_batched_cumsum.hip [ok] 2025-08-14T21:37:31.5663223Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_permute_embeddings.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_permute_embeddings.hip [ok] 2025-08-14T21:37:31.5667575Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_async_batched_cumsum.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_async_batched_cumsum_hip.cpp [ok] 2025-08-14T21:37:31.5672420Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_zipf.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_zipf.hip [ok] 2025-08-14T21:37:31.5689281Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.5864711Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_ops_cpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_ops_cpu_hip.cpp [ok] 2025-08-14T21:37:31.5896878Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_reorder_batched_ad.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_reorder_batched_ad.hip [ok] 2025-08-14T21:37:31.5900903Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_expand_into_jagged_permute.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_expand_into_jagged_permute.hip [ok] 2025-08-14T21:37:31.5911377Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_index_add.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_index_add.hip [ok] 2025-08-14T21:37:31.5928662Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_bucketize_features.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_bucketize_features.hip [ok] 2025-08-14T21:37:31.5941148Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_batched_unary_embeddings.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_batched_unary_embeddings.hip [ok] 2025-08-14T21:37:31.5944092Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_compute_frequency_sequence.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_compute_frequency_sequence.hip [ok] 2025-08-14T21:37:31.6022928Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_block_bucketize_features.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_block_bucketize_features.hip [ok] 2025-08-14T21:37:31.6047036Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_permute_2d.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_permute_2d.hip [ok] 2025-08-14T21:37:31.6053735Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/intraining_embedding_pruning.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/intraining_embedding_pruning.h [skipped, no changes] 2025-08-14T21:37:31.6057686Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/intraining_embedding_pruning_ops/intraining_embedding_pruning_gpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/intraining_embedding_pruning_ops/intraining_embedding_pruning_gpu_hip.cpp [ok] 2025-08-14T21:37:31.6106243Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/intraining_embedding_pruning_ops/intraining_embedding_pruning.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/intraining_embedding_pruning_ops/intraining_embedding_pruning.hip [ok] 2025-08-14T21:37:31.6114731Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/tbe/eeg/eeg_models.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/tbe/eeg/eeg_models.h [skipped, no changes] 2025-08-14T21:37:31.6124003Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/tbe/eeg/eeg_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/tbe/eeg/eeg_utils.h [skipped, no changes] 2025-08-14T21:37:31.6128861Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/tbe/eeg/indices_generator.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/tbe/eeg/indices_generator.h [skipped, no changes] 2025-08-14T21:37:31.6131460Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/tbe/eeg/indices_generator_ops.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/tbe/eeg/indices_generator_ops.cpp [skipped, no changes] 2025-08-14T21:37:31.6135486Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/tbe/eeg/eeg_models.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/tbe/eeg/eeg_models.cpp [skipped, no changes] 2025-08-14T21:37:31.6142534Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/tbe/eeg/indices_estimator.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/tbe/eeg/indices_estimator.h [skipped, no changes] 2025-08-14T21:37:31.6146726Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/tbe/eeg/indices_estimator_ops.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/tbe/eeg/indices_estimator_ops.cpp [skipped, no changes] 2025-08-14T21:37:31.6158388Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/tbe/eeg/indices_estimator.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/tbe/eeg/indices_estimator.cpp [skipped, no changes] 2025-08-14T21:37:31.6164679Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/tbe/eeg/eeg_models.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/tbe/eeg/eeg_models.h [skipped, no changes] 2025-08-14T21:37:31.6175119Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/tbe/eeg/eeg_utils.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/tbe/eeg/eeg_utils.cpp [skipped, no changes] 2025-08-14T21:37:31.6183428Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/tbe/eeg/eeg_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/tbe/eeg/eeg_utils.h [skipped, no changes] 2025-08-14T21:37:31.6190306Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/tbe/eeg/indices_generator.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/tbe/eeg/indices_generator.h [skipped, no changes] 2025-08-14T21:37:31.6197539Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/tbe/eeg/indices_generator.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/tbe/eeg/indices_generator.cpp [skipped, no changes] 2025-08-14T21:37:31.6210603Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/faster_hash_ops/common_utils.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/faster_hash_ops/common_utils.cuh [skipped, no changes] 2025-08-14T21:37:31.6217205Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/faster_hash_ops/faster_hash_ops.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/faster_hash_ops/faster_hash_ops.cuh [skipped, no changes] 2025-08-14T21:37:31.6254774Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/faster_hash_ops/faster_hash.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/faster_hash_ops/faster_hash.hip [ok] 2025-08-14T21:37:31.6273523Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/faster_hash_ops/faster_hash_ops.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/faster_hash_ops/faster_hash_ops.h [skipped, no changes] 2025-08-14T21:37:31.6300300Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/faster_hash_ops/faster_hash.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/faster_hash_ops/faster_hash.cpp [skipped, no changes] 2025-08-14T21:37:31.6306531Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/config/feature_gates.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/config/feature_gates.cpp [skipped, no changes] 2025-08-14T21:37:31.6316755Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_multi_embedding_function.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_multi_embedding_function_hip.h [ok] 2025-08-14T21:37:31.6327513Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/permute_multi_embedding_ops/permute_multi_embedding_function.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/permute_multi_embedding_ops/permute_multi_embedding_function_hip.cpp [ok] 2025-08-14T21:37:31.6346566Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/permute_multi_embedding_ops/permute_multi_embedding_ops_cpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/permute_multi_embedding_ops/permute_multi_embedding_ops_cpu_hip.cpp [ok] 2025-08-14T21:37:31.6366162Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/permute_multi_embedding_ops/permute_multi_embedding_ops.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/permute_multi_embedding_ops/permute_multi_embedding_ops.hip [ok] 2025-08-14T21:37:31.6372325Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/kv_tensor_wrapper_cpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/kv_tensor_wrapper_cpu_hip.cpp [ok] 2025-08-14T21:37:31.6377419Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/kv_db_cuda_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/kv_db_hip_utils.h [ok] 2025-08-14T21:37:31.6389113Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/ssd_scratch_pad_indices_queue.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/ssd_scratch_pad_indices_queue_hip.cpp [ok] 2025-08-14T21:37:31.6394105Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/initializer.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/initializer.h [skipped, no changes] 2025-08-14T21:37:31.6480367Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/ssd_table_batched_embeddings.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/ssd_table_batched_embeddings_hip.h [ok] 2025-08-14T21:37:31.6486150Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/embedding_rocksdb_wrapper.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/embedding_rocksdb_wrapper_hip.h [ok] 2025-08-14T21:37:31.6488597Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/kv_db_cuda_utils.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/kv_db_hip_utils.cpp [ok] 2025-08-14T21:37:31.6496360Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/kv_tensor_wrapper.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/kv_tensor_wrapper.h [skipped, no changes] 2025-08-14T21:37:31.6553453Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/ssd_split_table_batched_embeddings.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/ssd_split_table_batched_embeddings_hip.cpp [ok] 2025-08-14T21:37:31.6636468Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/ssd_table_batched_embeddings.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/ssd_table_batched_embeddings_hip.h [skipped, already hipified] 2025-08-14T21:37:31.6667934Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/kv_db_table_batched_embeddings.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/kv_db_table_batched_embeddings_hip.h [skipped, already hipified] 2025-08-14T21:37:31.6715672Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/kv_db_table_batched_embeddings.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/kv_db_table_batched_embeddings_hip.cpp [ok] 2025-08-14T21:37:31.6726943Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/bitonic_sort.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/bitonic_sort_hip.cuh [ok] 2025-08-14T21:37:31.6762229Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/ssd_split_embeddings_cache_cuda.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/ssd_split_embeddings_cache_hip.hip [ok] 2025-08-14T21:37:31.6764291Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/kv_db_cuda_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/kv_db_hip_utils.h [skipped, already hipified] 2025-08-14T21:37:31.6782193Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/test/ssd_table_batched_embeddings_test.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/test/ssd_table_batched_embeddings_test.cpp [skipped, no changes] 2025-08-14T21:37:31.6789122Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/merge_pooled_embeddings.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/merge_pooled_embeddings.h [skipped, no changes] 2025-08-14T21:37:31.6822455Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/merge_pooled_embedding_ops/merge_pooled_embedding_ops_gpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/merge_pooled_embedding_ops/merge_pooled_embedding_ops_gpu_hip.cpp [ok] 2025-08-14T21:37:31.6829995Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/merge_pooled_embedding_ops/merge_pooled_embedding_ops_cpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/merge_pooled_embedding_ops/merge_pooled_embedding_ops_cpu_hip.cpp [ok] 2025-08-14T21:37:31.6832571Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_utils/split_embeddings_utils_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_utils/split_embeddings_utils_meta.cpp [skipped, no changes] 2025-08-14T21:37:31.6864251Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_utils/transpose_embedding_input.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_utils/transpose_embedding_input.hip [ok] 2025-08-14T21:37:31.6883936Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_utils/radix_sort_pairs.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_utils/radix_sort_pairs.hip [ok] 2025-08-14T21:37:31.6892651Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_utils/generate_vbe_metadata.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_utils/generate_vbe_metadata.hip [ok] 2025-08-14T21:37:31.6896490Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_utils/split_embeddings_utils.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_utils/split_embeddings_utils_hip.cpp [ok] 2025-08-14T21:37:31.6899948Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_utils/get_infos_metadata.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_utils/get_infos_metadata.hip [ok] 2025-08-14T21:37:31.6911324Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_utils/split_embeddings_utils_cpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_utils/split_embeddings_utils_cpu.cpp [skipped, no changes] 2025-08-14T21:37:31.6921912Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/common.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/common_hip.h [ok] 2025-08-14T21:37:31.6942105Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/common_hip.cuh [ok] 2025-08-14T21:37:31.6952387Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_populate_byte.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_populate_byte.hip [ok] 2025-08-14T21:37:31.6966208Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_find.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_find.hip [ok] 2025-08-14T21:37:31.6981061Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/reset_weight_momentum.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/reset_weight_momentum.hip [ok] 2025-08-14T21:37:31.6991891Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/kv_db_cpp_utils.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/kv_db_cpp_utils.cpp [skipped, no changes] 2025-08-14T21:37:31.6992572Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lxu_cache.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lxu_cache_hip.cpp [ok] 2025-08-14T21:37:31.7024167Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_populate_byte.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_populate_byte.hip [ok] 2025-08-14T21:37:31.7048040Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lxu_cache.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lxu_cache.hip [ok] 2025-08-14T21:37:31.7062532Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/cachelib_cache.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/cachelib_cache_hip.cpp [ok] 2025-08-14T21:37:31.7069200Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/split_embeddings_cache_ops.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/split_embeddings_cache_ops_hip.cpp [ok] 2025-08-14T21:37:31.7085699Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.7101729Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_populate.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_populate.hip [ok] 2025-08-14T21:37:31.7102587Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_populate_byte.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_populate_byte_hip.cpp [ok] 2025-08-14T21:37:31.7112203Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_find.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_find.hip [ok] 2025-08-14T21:37:31.7132006Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/linearize_cache_indices.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/linearize_cache_indices.hip [ok] 2025-08-14T21:37:31.7146598Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_populate.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_populate.hip [ok] 2025-08-14T21:37:31.7147207Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/linearize_cache_indices.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/linearize_cache_indices_hip.cpp [ok] 2025-08-14T21:37:31.7148877Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_populate_byte.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_populate_byte_hip.cpp [ok] 2025-08-14T21:37:31.7151129Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/split_embeddings_cache_ops.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/split_embeddings_cache_ops.hip [ok] 2025-08-14T21:37:31.7167161Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/mx/common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/mx/common_hip.cuh [ok] 2025-08-14T21:37:31.7173097Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/mx_common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/mx_common_hip.cuh [ok] 2025-08-14T21:37:31.7182355Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/quantize_mx.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/quantize_mx_hip.cuh [ok] 2025-08-14T21:37:31.7190058Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/quantize_ops.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/quantize_ops_hip.cuh [ok] 2025-08-14T21:37:31.7199136Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/quantize_ops_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/quantize_ops_utils.h [skipped, no changes] 2025-08-14T21:37:31.7209160Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/common_hip.cuh [ok] 2025-08-14T21:37:31.7226959Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/quantize_fp8_rowwise.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/quantize_fp8_rowwise.hip [ok] 2025-08-14T21:37:31.7244169Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/quantize_fused_nbit_rowwise.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/quantize_fused_nbit_rowwise.hip [ok] 2025-08-14T21:37:31.7264513Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/quantize_padded_fp8_rowwise.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/quantize_padded_fp8_rowwise.hip [ok] 2025-08-14T21:37:31.7282282Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/quantize_mx.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/quantize_mx.hip [ok] 2025-08-14T21:37:31.7285392Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/quantize_ops_gpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/quantize_ops_gpu.cpp [skipped, no changes] 2025-08-14T21:37:31.7315517Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/quantize_fused_8bit_rowwise.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/quantize_fused_8bit_rowwise.hip [ok] 2025-08-14T21:37:31.7329063Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.7331470Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/quantize_hfp8.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/quantize_hfp8.hip [ok] 2025-08-14T21:37:31.7339850Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/mx_common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/mx_common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.7343233Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/quantize_bfloat16.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/quantize_bfloat16.hip [ok] 2025-08-14T21:37:31.7352190Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/quantize_msfp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/quantize_msfp.hip [ok] 2025-08-14T21:37:31.7360948Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/quantize_ops_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/quantize_ops_meta.cpp [skipped, no changes] 2025-08-14T21:37:31.7390758Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/quantize_ops_cpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/quantize_ops_cpu_hip.cpp [ok] 2025-08-14T21:37:31.7401491Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/mx/common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/mx/common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.7403143Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/memory_utils/common.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/memory_utils/common.h [skipped, no changes] 2025-08-14T21:37:31.7416091Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/cumem_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/cumem_utils_hip.h [ok] 2025-08-14T21:37:31.7424303Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/enum_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/enum_utils.h [skipped, no changes] 2025-08-14T21:37:31.7426723Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/memory_utils/common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/memory_utils/common_hip.cuh [ok] 2025-08-14T21:37:31.7443562Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/memory_utils/memory_utils.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/memory_utils/memory_utils.hip [ok] 2025-08-14T21:37:31.7447316Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/memory_utils/memory_utils_ops.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/memory_utils/memory_utils_ops_hip.cpp [ok] 2025-08-14T21:37:31.7453281Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/memory_utils/common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/memory_utils/common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.7455809Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/memory_utils/memory_utils.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/memory_utils/memory_utils_hip.cpp [ok] 2025-08-14T21:37:31.7459752Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/memory_utils/memory_utils_ops.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/memory_utils/memory_utils_ops.hip [ok] 2025-08-14T21:37:31.7460792Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/memory_utils/memory_utils_fallback.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/memory_utils/memory_utils_fallback.cpp [skipped, no changes] 2025-08-14T21:37:31.7468067Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ps_split_embeddings_cache/ps_table_batched_embeddings.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ps_split_embeddings_cache/ps_table_batched_embeddings_hip.h [ok] 2025-08-14T21:37:31.7472359Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ps_split_embeddings_cache/ps_split_table_batched_embeddings.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ps_split_embeddings_cache/ps_split_table_batched_embeddings_hip.cpp [ok] 2025-08-14T21:37:31.7477940Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ps_split_embeddings_cache/ps_table_batched_embeddings.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ps_split_embeddings_cache/ps_table_batched_embeddings_hip.h [skipped, already hipified] 2025-08-14T21:37:31.7486165Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/embedding_inplace_update.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/embedding_inplace_update.h [skipped, no changes] 2025-08-14T21:37:31.7489704Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/embedding_inplace_ops/embedding_inplace_update_gpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/embedding_inplace_ops/embedding_inplace_update_gpu_hip.cpp [ok] 2025-08-14T21:37:31.7510333Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/embedding_inplace_ops/embedding_inplace_update.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/embedding_inplace_ops/embedding_inplace_update.hip [ok] 2025-08-14T21:37:31.7526350Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/embedding_inplace_ops/embedding_inplace_update_cpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/embedding_inplace_ops/embedding_inplace_update_cpu.cpp [skipped, no changes] 2025-08-14T21:37:31.7536632Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/embedding_inplace_ops/embedding_inplace_update_test.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/embedding_inplace_ops/embedding_inplace_update_test.cpp [skipped, no changes] 2025-08-14T21:37:31.7544109Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_pooled_embedding_function.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_pooled_embedding_function.h [skipped, no changes] 2025-08-14T21:37:31.7549299Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_pooled_embedding_ops.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_pooled_embedding_ops.h [skipped, no changes] 2025-08-14T21:37:31.7556856Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/permute_pooled_embedding_ops/permute_pooled_embedding_ops.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/permute_pooled_embedding_ops/permute_pooled_embedding_ops.hip [ok] 2025-08-14T21:37:31.7563442Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_pooled_embedding_ops_split.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_pooled_embedding_ops_split.h [skipped, no changes] 2025-08-14T21:37:31.7571515Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/permute_pooled_embedding_ops/permute_pooled_embedding_ops_split.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/permute_pooled_embedding_ops/permute_pooled_embedding_ops_split.hip [ok] 2025-08-14T21:37:31.7578017Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_pooled_embs_function_split.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_pooled_embs_function_split.h [skipped, no changes] 2025-08-14T21:37:31.7585006Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/permute_pooled_embedding_ops/permute_pooled_embedding_ops_split_gpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/permute_pooled_embedding_ops/permute_pooled_embedding_ops_split_gpu.cpp [skipped, no changes] 2025-08-14T21:37:31.7589277Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/permute_pooled_embedding_ops/permute_pooled_embedding_function.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/permute_pooled_embedding_ops/permute_pooled_embedding_function.cpp [skipped, no changes] 2025-08-14T21:37:31.7602271Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/permute_pooled_embedding_ops/permute_pooled_embedding_ops_split_cpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/permute_pooled_embedding_ops/permute_pooled_embedding_ops_split_cpu.cpp [skipped, no changes] 2025-08-14T21:37:31.7607932Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/permute_pooled_embedding_ops/permute_pooled_embedding_ops_gpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/permute_pooled_embedding_ops/permute_pooled_embedding_ops_gpu.cpp [skipped, no changes] 2025-08-14T21:37:31.7618552Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/permute_pooled_embedding_ops/permute_pooled_embedding_ops_cpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/permute_pooled_embedding_ops/permute_pooled_embedding_ops_cpu_hip.cpp [ok] 2025-08-14T21:37:31.7625827Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/input_combine.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/input_combine.h [skipped, no changes] 2025-08-14T21:37:31.7655047Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/input_combine_ops/input_combine_cpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/input_combine_ops/input_combine_cpu_hip.cpp [ok] 2025-08-14T21:37:31.7665859Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/input_combine_ops/input_combine.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/input_combine_ops/input_combine.hip [ok] 2025-08-14T21:37:31.7678548Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/input_combine_ops/input_combine_gpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/input_combine_ops/input_combine_gpu.cpp [skipped, no changes] 2025-08-14T21:37:31.7679874Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/metric_ops/metric_ops.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/metric_ops/metric_ops.h [skipped, no changes] 2025-08-14T21:37:31.7693705Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/inclusive_sum_scan.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/inclusive_sum_scan_hip.cuh [ok] 2025-08-14T21:37:31.7705145Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/metric_ops/metric_ops.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/metric_ops/metric_ops.hip [ok] 2025-08-14T21:37:31.7708329Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/metric_ops/metric_ops_host.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/metric_ops/metric_ops_host.cpp [skipped, no changes] 2025-08-14T21:37:31.7711893Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/docs/example_code.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/docs/example_code.cpp [skipped, no changes] 2025-08-14T21:37:31.7712450Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/stacked_jagged_2d_to_dense.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/stacked_jagged_2d_to_dense.cu [skipped, no changes] 2025-08-14T21:37:31.7729844Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common.h [skipped, no changes] 2025-08-14T21:37:31.7737334Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/binary_search_range.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/binary_search_range.h [skipped, no changes] 2025-08-14T21:37:31.7809583Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_tensor_ops_cpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_tensor_ops_cpu_hip.cpp [ok] 2025-08-14T21:37:31.7814718Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common.h [skipped, no changes] 2025-08-14T21:37:31.7868086Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh [ok] 2025-08-14T21:37:31.7871826Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/batched_dense_vec_jagged_2d_mul_forward.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/batched_dense_vec_jagged_2d_mul_forward.hip [ok] 2025-08-14T21:37:31.7885079Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_unique_indices.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_unique_indices.hip [ok] 2025-08-14T21:37:31.7897110Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_dense_bmm_forward.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_dense_bmm_forward.hip [ok] 2025-08-14T21:37:31.7912053Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_dense_dense_elementwise_add_jagged_output_forward.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_dense_dense_elementwise_add_jagged_output_forward.hip [ok] 2025-08-14T21:37:31.7938443Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/keyed_jagged_index_select_dim1.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/keyed_jagged_index_select_dim1.hip [ok] 2025-08-14T21:37:31.7945259Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_softmax_forward.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_softmax_forward.hip [ok] 2025-08-14T21:37:31.7963881Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_to_padded_dense_forward.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_to_padded_dense_forward.hip [ok] 2025-08-14T21:37:31.7969878Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_index_select_2d_forward.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_index_select_2d_forward.hip [ok] 2025-08-14T21:37:31.7975808Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_softmax_backward.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_softmax_backward.hip [ok] 2025-08-14T21:37:31.7978502Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_dense_elementwise_mul_forward.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_dense_elementwise_mul_forward.hip [ok] 2025-08-14T21:37:31.8030812Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.8033669Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_to_padded_dense_backward.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_to_padded_dense_backward.hip [ok] 2025-08-14T21:37:31.8041238Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/batched_dense_vec_jagged_2d_mul_backward.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/batched_dense_vec_jagged_2d_mul_backward.hip [ok] 2025-08-14T21:37:31.8054136Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_jagged_bmm_forward.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_jagged_bmm_forward.hip [ok] 2025-08-14T21:37:31.8056443Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_tensor_ops.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_tensor_ops.hip [ok] 2025-08-14T21:37:31.8057023Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/stacked_jagged_1d_to_dense.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/stacked_jagged_1d_to_dense.cu [skipped, no changes] 2025-08-14T21:37:31.8071397Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_tensor_ops_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_tensor_ops_meta.cpp [skipped, no changes] 2025-08-14T21:37:31.8078244Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_dense_elementwise_mul_backward.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_dense_elementwise_mul_backward.hip [ok] 2025-08-14T21:37:31.8084107Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_index_add_2d_forward.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_index_add_2d_forward.hip [ok] 2025-08-14T21:37:31.8128858Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_tensor_ops_autograd.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_tensor_ops_autograd.cpp [skipped, no changes] 2025-08-14T21:37:31.8131783Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/dense_to_jagged_forward.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/dense_to_jagged_forward.hip [ok] 2025-08-14T21:37:31.8170204Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/test/dram_kv_embedding_cache/feature_evict_test.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/test/dram_kv_embedding_cache/feature_evict_test.cpp [skipped, no changes] 2025-08-14T21:37:31.8187203Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/test/dram_kv_embedding_cache/fixed_block_pool_test.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/test/dram_kv_embedding_cache/fixed_block_pool_test.cpp [skipped, no changes] 2025-08-14T21:37:31.8200057Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/test/dram_kv_embedding_cache/sharded_map_test.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/test/dram_kv_embedding_cache/sharded_map_test.cpp [skipped, no changes] 2025-08-14T21:37:31.8205314Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/test/sparse/utils_test.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/test/sparse/utils_test.cpp [skipped, no changes] 2025-08-14T21:37:31.8208427Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/test/sparse/tensor_assert_test.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/test/sparse/tensor_assert_test.cpp [skipped, no changes] 2025-08-14T21:37:31.8215554Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/test/uvm/cache_miss_emulate_test.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/test/uvm/cache_miss_emulate_test.cpp [skipped, no changes] 2025-08-14T21:37:31.8221499Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/test/tbe/ssd/embedding_cache/rocksdb_embedding_cache_test.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/test/tbe/ssd/embedding_cache/rocksdb_embedding_cache_test.cpp [skipped, no changes] 2025-08-14T21:37:31.8230445Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/test/tbe/utils/cpu_kernel_test.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/test/tbe/utils/cpu_kernel_test_hip.cpp [ok] 2025-08-14T21:37:31.8236704Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/test/tbe/eeg/eeg_utils_test.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/test/tbe/eeg/eeg_utils_test.cpp [skipped, no changes] 2025-08-14T21:37:31.8241042Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/test/config/feature_gate_cpp_test.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/test/config/feature_gate_cpp_test.cpp [skipped, no changes] 2025-08-14T21:37:31.8247171Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/test/utils/tensor_accessor_test.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/test/utils/tensor_accessor_test.hip [ok] 2025-08-14T21:37:31.8253862Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/test/utils/tensor_accessor_builder_with_memcheck_test.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/test/utils/tensor_accessor_builder_with_memcheck_test.hip [ok] 2025-08-14T21:37:31.8264924Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/test/utils/weight_row_test.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/test/utils/weight_row_test.hip [ok] 2025-08-14T21:37:31.8271722Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/test/utils/tensor_accessor_builder_test.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/test/utils/tensor_accessor_builder_test.hip [ok] 2025-08-14T21:37:31.8290670Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/test/utils/kernel_launcher_test.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/test/utils/kernel_launcher_test.hip [ok] 2025-08-14T21:37:31.8300105Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/test/utils/stochastic_rounding_test.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/test/utils/stochastic_rounding_test.hip [ok] 2025-08-14T21:37:31.8304868Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/test/utils/tensor_accessor_with_memcheck_test.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/test/utils/tensor_accessor_with_memcheck_test.hip [ok] 2025-08-14T21:37:31.8435794Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/docs/Doxyfile.in -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/docs/Doxyfile.in [skipped, no changes] 2025-08-14T21:37:31.8458025Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/embedding_forward_template_helpers.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/embedding_forward_template_helpers_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.8464133Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/split_embeddings_utils.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/split_embeddings_utils_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.8466426Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/quantize_ops.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/quantize_ops_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.8476048Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/cumem_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/cumem_utils_hip.h [skipped, already hipified] 2025-08-14T21:37:31.8480868Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/layout_transform_ops.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/layout_transform_ops_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.8483127Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/split_embeddings_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/split_embeddings_utils.h [skipped, no changes] 2025-08-14T21:37:31.8491391Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/quantize_ops_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/quantize_ops_utils.h [skipped, no changes] 2025-08-14T21:37:31.8498475Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_pooled_embedding_ops.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_pooled_embedding_ops.h [skipped, no changes] 2025-08-14T21:37:31.8501687Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_pooled_embedding_function.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_pooled_embedding_function.h [skipped, no changes] 2025-08-14T21:37:31.8505821Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_pooled_embs_function_split.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_pooled_embs_function_split.h [skipped, no changes] 2025-08-14T21:37:31.8509844Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_pooled_embedding_ops_split.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_pooled_embedding_ops_split.h [skipped, no changes] 2025-08-14T21:37:31.8520478Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/split_embeddings_cache_cuda.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/split_embeddings_cache_cuda.cuh [skipped, no changes] 2025-08-14T21:37:31.8562041Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/sparse_ops.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/sparse_ops.h [skipped, no changes] 2025-08-14T21:37:31.8566665Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/intraining_embedding_pruning.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/intraining_embedding_pruning.h [skipped, no changes] 2025-08-14T21:37:31.8573827Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/embedding_inplace_update.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/embedding_inplace_update.h [skipped, no changes] 2025-08-14T21:37:31.8575167Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/merge_pooled_embeddings.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/merge_pooled_embeddings.h [skipped, no changes] 2025-08-14T21:37:31.8579172Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/sparse_ops.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/sparse_ops_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.8582247Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/input_combine.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/input_combine.h [skipped, no changes] 2025-08-14T21:37:31.8595046Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/embedding_backward_template_helpers.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/embedding_backward_template_helpers_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.8602944Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/embedding_forward_split_cpu.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/embedding_forward_split_cpu_hip.h [skipped, already hipified] 2025-08-14T21:37:31.8607911Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/embedding_common.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/embedding_common.h [skipped, no changes] 2025-08-14T21:37:31.8615356Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_multi_embedding_function.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_multi_embedding_function_hip.h [skipped, already hipified] 2025-08-14T21:37:31.8616008Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_pooled_embs_function.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_pooled_embs_function.h [skipped, no changes] 2025-08-14T21:37:31.8621263Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/faster_hash_ops/faster_hash_ops.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/faster_hash_ops/faster_hash_ops.cuh [skipped, no changes] 2025-08-14T21:37:31.8627561Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/faster_hash_ops/common_utils.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/faster_hash_ops/common_utils.cuh [skipped, no changes] 2025-08-14T21:37:31.8638474Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/faster_hash_ops/faster_hash_ops.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/faster_hash_ops/faster_hash_ops.h [skipped, no changes] 2025-08-14T21:37:31.8642546Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/config/feature_gates.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/config/feature_gates.h [skipped, no changes] 2025-08-14T21:37:31.8653162Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/split_embeddings_cache/kv_db_cpp_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/split_embeddings_cache/kv_db_cpp_utils.h [skipped, no changes] 2025-08-14T21:37:31.8662583Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/split_embeddings_cache/cachelib_cache.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/split_embeddings_cache/cachelib_cache.h [skipped, no changes] 2025-08-14T21:37:31.8678910Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/tensor_accessor.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/tensor_accessor_hip.h [skipped, already hipified] 2025-08-14T21:37:31.8695359Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/float.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/float_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.8697876Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/cub_namespace_prefix.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/cub_namespace_prefix_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.8699318Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/torch_library.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/torch_library.h [skipped, no changes] 2025-08-14T21:37:31.8730046Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/vec_quant.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/vec_quant_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.8747121Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/vec4.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/vec4_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.8766749Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/tensor_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/tensor_utils.h [skipped, no changes] 2025-08-14T21:37:31.8772430Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/find_qparams.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/find_qparams_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.8787669Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/stochastic_rounding.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/stochastic_rounding_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.8793630Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/inclusive_sum_scan.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/inclusive_sum_scan_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.8800308Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/bench_utils.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/bench_utils_hip.cuh [ok] 2025-08-14T21:37:31.8808307Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/cuda_prelude.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/hip_prelude.cuh [skipped, already hipified] 2025-08-14T21:37:31.8816993Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/source_context.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/source_context.h [skipped, no changes] 2025-08-14T21:37:31.8821516Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/embedding_bounds_check_common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/embedding_bounds_check_common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.8871761Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/vecn.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/vecn_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.8894908Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/weight_row.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/weight_row_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.8909210Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/tensor_accessor_builder.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/tensor_accessor_builder_hip.h [skipped, already hipified] 2025-08-14T21:37:31.8910519Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/log2.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/log2.h [skipped, no changes] 2025-08-14T21:37:31.8916143Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/enum_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/enum_utils.h [skipped, no changes] 2025-08-14T21:37:31.8920723Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/kernel_execution_timer.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/kernel_execution_timer_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.8923827Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/shared_memory.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/shared_memory_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.8928633Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/bitonic_sort.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/bitonic_sort_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.8932379Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/fixed_divisor.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/fixed_divisor.cuh [skipped, no changes] 2025-08-14T21:37:31.8946802Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/vec4acc.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/vec4acc_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.8951215Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/cuda_utilities.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/hip_utilities.cuh [skipped, already hipified] 2025-08-14T21:37:31.8978897Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/dispatch_macros.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/dispatch_macros_hip.h [skipped, already hipified] 2025-08-14T21:37:31.8980161Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/assert_macros.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/assert_macros.h [skipped, no changes] 2025-08-14T21:37:31.8986090Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/binary_search_range.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/binary_search_range.h [skipped, no changes] 2025-08-14T21:37:31.8993548Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/host_device_buffer_pair.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/host_device_buffer_pair_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.8999771Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/ops_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/ops_utils.h [skipped, no changes] 2025-08-14T21:37:31.9001960Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/topology_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/topology_utils.h [skipped, no changes] 2025-08-14T21:37:31.9009031Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/cuda_block_count.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/cuda_block_count.h [skipped, no changes] 2025-08-14T21:37:31.9013053Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/device_cache_flusher.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/device_cache_flusher_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.9015402Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/pt2_autograd_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/pt2_autograd_utils.h [skipped, no changes] 2025-08-14T21:37:31.9041562Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/kernel_launcher.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/kernel_launcher_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.9045134Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/cpu_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/cpu_utils.h [skipped, no changes] 2025-08-14T21:37:31.9045702Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/types.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/types.h [skipped, no changes] 2025-08-14T21:37:31.9048131Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/binary_search_range.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/binary_search_range.cuh [skipped, no changes] 2025-08-14T21:37:31.9050516Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/cub_namespace_postfix.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/cub_namespace_postfix_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.9054098Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/rocm/half2.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/rocm/half2.h [skipped, no changes] 2025-08-14T21:37:31.9061463Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/rocm/weight_row.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/rocm/weight_row_hip.h [skipped, already hipified] 2025-08-14T21:37:31.9070467Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/rocm/stochastic_rounding.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/rocm/stochastic_rounding_hip.h [skipped, already hipified] 2025-08-14T21:37:31.9086078Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/rocm/vec2.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/rocm/vec2_hip.h [skipped, already hipified] 2025-08-14T21:37:31.9090350Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/rocm/cdna_guard.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/rocm/cdna_guard.h [skipped, no changes] 2025-08-14T21:37:31.9109372Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/rocm/split_embeddings_common.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/rocm/split_embeddings_common.h [skipped, no changes] 2025-08-14T21:37:31.9131605Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/embedding_forward_template_helpers.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/embedding_forward_template_helpers_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.9141686Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/split_embeddings_utils.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/split_embeddings_utils_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.9142297Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/quantize_ops.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/quantize_ops_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.9149883Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/cumem_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/cumem_utils_hip.h [skipped, already hipified] 2025-08-14T21:37:31.9156587Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/layout_transform_ops.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/layout_transform_ops_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.9164191Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/split_embeddings_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/split_embeddings_utils.h [skipped, no changes] 2025-08-14T21:37:31.9165613Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/quantize_ops_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/quantize_ops_utils.h [skipped, no changes] 2025-08-14T21:37:31.9172277Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_pooled_embedding_ops.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_pooled_embedding_ops.h [skipped, no changes] 2025-08-14T21:37:31.9175875Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_pooled_embedding_function.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_pooled_embedding_function.h [skipped, no changes] 2025-08-14T21:37:31.9179687Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_pooled_embs_function_split.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_pooled_embs_function_split.h [skipped, no changes] 2025-08-14T21:37:31.9183886Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_pooled_embedding_ops_split.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_pooled_embedding_ops_split.h [skipped, no changes] 2025-08-14T21:37:31.9194895Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/split_embeddings_cache_cuda.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/split_embeddings_cache_cuda.cuh [skipped, no changes] 2025-08-14T21:37:31.9236673Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/sparse_ops.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/sparse_ops.h [skipped, no changes] 2025-08-14T21:37:31.9241403Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/intraining_embedding_pruning.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/intraining_embedding_pruning.h [skipped, no changes] 2025-08-14T21:37:31.9254630Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/embedding_inplace_update.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/embedding_inplace_update.h [skipped, no changes] 2025-08-14T21:37:31.9255328Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/merge_pooled_embeddings.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/merge_pooled_embeddings.h [skipped, no changes] 2025-08-14T21:37:31.9256301Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/sparse_ops.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/sparse_ops_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.9256871Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/input_combine.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/input_combine.h [skipped, no changes] 2025-08-14T21:37:31.9268953Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/embedding_backward_template_helpers.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/embedding_backward_template_helpers_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.9277473Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/embedding_forward_split_cpu.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/embedding_forward_split_cpu_hip.h [skipped, already hipified] 2025-08-14T21:37:31.9282318Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/embedding_common.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/embedding_common.h [skipped, no changes] 2025-08-14T21:37:31.9289818Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_multi_embedding_function.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_multi_embedding_function_hip.h [skipped, already hipified] 2025-08-14T21:37:31.9290492Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_pooled_embs_function.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_pooled_embs_function.h [skipped, no changes] 2025-08-14T21:37:31.9296123Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/faster_hash_ops/faster_hash_ops.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/faster_hash_ops/faster_hash_ops.cuh [skipped, no changes] 2025-08-14T21:37:31.9301457Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/faster_hash_ops/common_utils.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/faster_hash_ops/common_utils.cuh [skipped, no changes] 2025-08-14T21:37:31.9313123Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/faster_hash_ops/faster_hash_ops.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/faster_hash_ops/faster_hash_ops.h [skipped, no changes] 2025-08-14T21:37:31.9317244Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/config/feature_gates.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/config/feature_gates.h [skipped, no changes] 2025-08-14T21:37:31.9327940Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/split_embeddings_cache/kv_db_cpp_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/split_embeddings_cache/kv_db_cpp_utils.h [skipped, no changes] 2025-08-14T21:37:31.9337599Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/split_embeddings_cache/cachelib_cache.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/split_embeddings_cache/cachelib_cache.h [skipped, no changes] 2025-08-14T21:37:31.9353271Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/tensor_accessor.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/tensor_accessor_hip.h [skipped, already hipified] 2025-08-14T21:37:31.9369899Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/float.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/float_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.9372343Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/cub_namespace_prefix.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/cub_namespace_prefix_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.9374538Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/torch_library.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/torch_library.h [skipped, no changes] 2025-08-14T21:37:31.9404525Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/vec_quant.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/vec_quant_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.9421585Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/vec4.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/vec4_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.9441406Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/tensor_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/tensor_utils.h [skipped, no changes] 2025-08-14T21:37:31.9447830Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/find_qparams.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/find_qparams_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.9460730Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/stochastic_rounding.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/stochastic_rounding_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.9468302Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/inclusive_sum_scan.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/inclusive_sum_scan_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.9474517Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/bench_utils.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/bench_utils_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.9483068Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/cuda_prelude.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/hip_prelude.cuh [skipped, already hipified] 2025-08-14T21:37:31.9491098Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/source_context.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/source_context.h [skipped, no changes] 2025-08-14T21:37:31.9495760Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/embedding_bounds_check_common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/embedding_bounds_check_common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.9546388Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/vecn.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/vecn_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.9570697Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/weight_row.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/weight_row_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.9583327Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/tensor_accessor_builder.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/tensor_accessor_builder_hip.h [skipped, already hipified] 2025-08-14T21:37:31.9585039Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/log2.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/log2.h [skipped, no changes] 2025-08-14T21:37:31.9590280Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/enum_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/enum_utils.h [skipped, no changes] 2025-08-14T21:37:31.9596809Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/kernel_execution_timer.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/kernel_execution_timer_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.9597787Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/shared_memory.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/shared_memory_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.9602917Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/bitonic_sort.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/bitonic_sort_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.9606292Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/fixed_divisor.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/fixed_divisor.cuh [skipped, no changes] 2025-08-14T21:37:31.9620683Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/vec4acc.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/vec4acc_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.9626054Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/cuda_utilities.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/hip_utilities.cuh [skipped, already hipified] 2025-08-14T21:37:31.9657256Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/dispatch_macros.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/dispatch_macros_hip.h [skipped, already hipified] 2025-08-14T21:37:31.9657920Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/assert_macros.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/assert_macros.h [skipped, no changes] 2025-08-14T21:37:31.9659187Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/binary_search_range.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/binary_search_range.h [skipped, no changes] 2025-08-14T21:37:31.9666279Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/host_device_buffer_pair.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/host_device_buffer_pair_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.9672464Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/ops_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/ops_utils.h [skipped, no changes] 2025-08-14T21:37:31.9674024Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/topology_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/topology_utils.h [skipped, no changes] 2025-08-14T21:37:31.9681932Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/cuda_block_count.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/cuda_block_count.h [skipped, no changes] 2025-08-14T21:37:31.9685870Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/device_cache_flusher.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/device_cache_flusher_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.9688080Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/pt2_autograd_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/pt2_autograd_utils.h [skipped, no changes] 2025-08-14T21:37:31.9715152Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/kernel_launcher.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/kernel_launcher_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.9719366Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/cpu_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/cpu_utils.h [skipped, no changes] 2025-08-14T21:37:31.9719912Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/types.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/types.h [skipped, no changes] 2025-08-14T21:37:31.9723161Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/binary_search_range.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/binary_search_range.cuh [skipped, no changes] 2025-08-14T21:37:31.9725825Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/cub_namespace_postfix.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/cub_namespace_postfix_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.9731413Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/rocm/half2.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/rocm/half2.h [skipped, no changes] 2025-08-14T21:37:31.9736752Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/rocm/weight_row.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/rocm/weight_row_hip.h [skipped, already hipified] 2025-08-14T21:37:31.9743435Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/rocm/stochastic_rounding.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/rocm/stochastic_rounding_hip.h [skipped, already hipified] 2025-08-14T21:37:31.9758966Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/rocm/vec2.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/rocm/vec2_hip.h [skipped, already hipified] 2025-08-14T21:37:31.9763126Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/rocm/cdna_guard.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/rocm/cdna_guard.h [skipped, no changes] 2025-08-14T21:37:31.9782477Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/rocm/split_embeddings_common.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/rocm/split_embeddings_common.h [skipped, no changes] 2025-08-14T21:37:31.9786992Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/SynchronizedShardedMap.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/SynchronizedShardedMap.h [skipped, no changes] 2025-08-14T21:37:31.9790407Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/dram_kv_embedding_inference_wrapper.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/dram_kv_embedding_inference_wrapper.h [skipped, no changes] 2025-08-14T21:37:31.9887160Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/dram_kv_embedding_cache.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/dram_kv_embedding_cache_hip.h [skipped, already hipified] 2025-08-14T21:37:31.9899932Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/fixed_block_pool.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/fixed_block_pool.h [skipped, no changes] 2025-08-14T21:37:31.9907183Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/dram_kv_embedding_cache_wrapper.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/dram_kv_embedding_cache_wrapper_hip.h [skipped, already hipified] 2025-08-14T21:37:31.9955865Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/feature_evict.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/feature_evict.h [skipped, no changes] 2025-08-14T21:37:31.9957188Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/common.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/common.h [skipped, no changes] 2025-08-14T21:37:31.9974018Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:31.9981420Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/tbe/eeg/indices_estimator.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/tbe/eeg/indices_estimator.h [skipped, no changes] 2025-08-14T21:37:31.9987439Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/tbe/eeg/eeg_models.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/tbe/eeg/eeg_models.h [skipped, no changes] 2025-08-14T21:37:31.9996193Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/tbe/eeg/eeg_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/tbe/eeg/eeg_utils.h [skipped, no changes] 2025-08-14T21:37:32.0002600Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/tbe/eeg/indices_generator.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/tbe/eeg/indices_generator.h [skipped, no changes] 2025-08-14T21:37:32.0007909Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/initializer.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/initializer.h [skipped, no changes] 2025-08-14T21:37:32.0019803Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/embedding_rocksdb_wrapper.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/embedding_rocksdb_wrapper_hip.h [skipped, already hipified] 2025-08-14T21:37:32.0023148Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/kv_tensor_wrapper.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/kv_tensor_wrapper.h [skipped, no changes] 2025-08-14T21:37:32.0105613Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/ssd_table_batched_embeddings.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/ssd_table_batched_embeddings_hip.h [skipped, already hipified] 2025-08-14T21:37:32.0136635Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/kv_db_table_batched_embeddings.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/kv_db_table_batched_embeddings_hip.h [skipped, already hipified] 2025-08-14T21:37:32.0138984Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/kv_db_cuda_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/kv_db_hip_utils.h [skipped, already hipified] 2025-08-14T21:37:32.0149677Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/common.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/common_hip.h [skipped, already hipified] 2025-08-14T21:37:32.0166018Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.0177608Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/quantize_mx.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/quantize_mx_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.0189541Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.0197672Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/mx_common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/mx_common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.0208380Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/mx/common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/mx/common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.0209623Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/memory_utils/common.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/memory_utils/common.h [skipped, no changes] 2025-08-14T21:37:32.0215797Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/memory_utils/common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/memory_utils/common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.0221235Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ps_split_embeddings_cache/ps_table_batched_embeddings.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ps_split_embeddings_cache/ps_table_batched_embeddings_hip.h [skipped, already hipified] 2025-08-14T21:37:32.0222514Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/metric_ops/metric_ops.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/metric_ops/metric_ops.h [skipped, no changes] 2025-08-14T21:37:32.0227533Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common.h [skipped, no changes] 2025-08-14T21:37:32.0282338Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.0291378Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/hstu_fwd_launch_template.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/hstu_fwd_launch_template_hip.h [skipped, already hipified] 2025-08-14T21:37:32.0295617Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/tile_scheduler_bwd.hpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/tile_scheduler_bwd.hpp [skipped, no changes] 2025-08-14T21:37:32.0316992Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/hstu_bwd_kernel.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/hstu_bwd_kernel_hip.h [skipped, already hipified] 2025-08-14T21:37:32.0330049Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/epilogue_fwd_sm90_tma.hpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/epilogue_fwd_sm90_tma_hip.hpp [skipped, already hipified] 2025-08-14T21:37:32.0338959Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/tile_scheduler.hpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/tile_scheduler.hpp [skipped, no changes] 2025-08-14T21:37:32.0411490Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/mainloop_bwd_sm90_tma_gmma_ws.hpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/mainloop_bwd_sm90_tma_gmma_ws_hip.hpp [skipped, already hipified] 2025-08-14T21:37:32.0418393Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/static_switch.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/static_switch.h [skipped, no changes] 2025-08-14T21:37:32.0423042Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/seq_len.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/seq_len.h [skipped, no changes] 2025-08-14T21:37:32.0427133Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/named_barrier.hpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/named_barrier.hpp [skipped, no changes] 2025-08-14T21:37:32.0453765Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/utils_hip.h [skipped, already hipified] 2025-08-14T21:37:32.0468950Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/hstu_bwd_postprocess_kernel.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/hstu_bwd_postprocess_kernel_hip.h [skipped, already hipified] 2025-08-14T21:37:32.0508557Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/kernel_traits.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/kernel_traits.h [skipped, no changes] 2025-08-14T21:37:32.0524393Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/epilogue_bwd_sm90_tma.hpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/epilogue_bwd_sm90_tma_hip.hpp [skipped, already hipified] 2025-08-14T21:37:32.0607029Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/mainloop_fwd_sm90_tma_gmma_ws.hpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/mainloop_fwd_sm90_tma_gmma_ws_hip.hpp [skipped, already hipified] 2025-08-14T21:37:32.0612318Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/hstu.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/hstu_hip.h [skipped, already hipified] 2025-08-14T21:37:32.0629072Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/hstu_bwd_launch_template.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/hstu_bwd_launch_template_hip.h [skipped, already hipified] 2025-08-14T21:37:32.0655310Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/hstu_fwd_kernel.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_hopper/hstu_fwd_kernel_hip.h [skipped, already hipified] 2025-08-14T21:37:32.0707361Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_ampere/hstu_bwd.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_ampere/hstu_bwd_hip.h [skipped, already hipified] 2025-08-14T21:37:32.0709162Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_ampere/block_info.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_ampere/block_info.h [skipped, no changes] 2025-08-14T21:37:32.0717309Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_ampere/static_switch.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_ampere/static_switch.h [skipped, no changes] 2025-08-14T21:37:32.0736390Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_ampere/utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_ampere/utils_hip.h [skipped, already hipified] 2025-08-14T21:37:32.0758295Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_ampere/kernel_traits.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_ampere/kernel_traits.h [skipped, no changes] 2025-08-14T21:37:32.0767104Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_ampere/hstu.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_ampere/hstu_hip.h [skipped, already hipified] 2025-08-14T21:37:32.0795321Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_ampere/hstu_fwd.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/hstu/src/hstu_ampere/hstu_fwd_hip.h [skipped, already hipified] 2025-08-14T21:37:32.0802945Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/kv_cache/kv_cache.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/kv_cache/kv_cache.h [skipped, no changes] 2025-08-14T21:37:32.0805365Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cublas_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cublas_utils_hip.h [skipped, already hipified] 2025-08-14T21:37:32.0806107Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/common/include/fbgemm_gpu/quantize/utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/common/include/fbgemm_gpu/quantize/utils.h [skipped, no changes] 2025-08-14T21:37:32.0820382Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/common/include/fbgemm_gpu/quantize/tuning_cache.hpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/common/include/fbgemm_gpu/quantize/tuning_cache_hip.hpp [skipped, already hipified] 2025-08-14T21:37:32.0844350Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise_grouped/kernels/fp8_rowwise_grouped_kernel_manifest.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise_grouped/kernels/fp8_rowwise_grouped_kernel_manifest.h [skipped, no changes] 2025-08-14T21:37:32.0858382Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise_grouped/kernels/fp8_rowwise_grouped_common.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise_grouped/kernels/fp8_rowwise_grouped_common_hip.h [skipped, already hipified] 2025-08-14T21:37:32.0875932Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise_preshuffle/kernels/fp8_rowwise_preshuffle_common.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise_preshuffle/kernels/fp8_rowwise_preshuffle_common_hip.h [skipped, already hipified] 2025-08-14T21:37:32.0892544Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise_preshuffle/kernels/fp8_rowwise_preshuffle_kernel_manifest.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise_preshuffle/kernels/fp8_rowwise_preshuffle_kernel_manifest.h [skipped, no changes] 2025-08-14T21:37:32.0904842Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise_batched/kernels/fp8_rowwise_batched_kernel_manifest.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise_batched/kernels/fp8_rowwise_batched_kernel_manifest.h [skipped, no changes] 2025-08-14T21:37:32.0914448Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise_batched/kernels/fp8_rowwise_batched_common.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise_batched/kernels/fp8_rowwise_batched_common_hip.h [skipped, already hipified] 2025-08-14T21:37:32.0927491Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/bf16_grouped/kernels/bf16_grouped_kernel_manifest.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/bf16_grouped/kernels/bf16_grouped_kernel_manifest.h [skipped, no changes] 2025-08-14T21:37:32.0939785Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/bf16_grouped/kernels/bf16_grouped_common.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/bf16_grouped/kernels/bf16_grouped_common_hip.h [skipped, already hipified] 2025-08-14T21:37:32.0943208Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fused_moe/fused_moe.hpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fused_moe/fused_moe.hpp [skipped, no changes] 2025-08-14T21:37:32.0946584Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fused_moe/fused_moesorting.hpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fused_moe/fused_moesorting.hpp [skipped, no changes] 2025-08-14T21:37:32.0952276Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fused_moe/fused_moegemm.hpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fused_moe/fused_moegemm.hpp [skipped, no changes] 2025-08-14T21:37:32.0956446Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fused_moe/instances/fused_moegemm_api_internal.hpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fused_moe/instances/fused_moegemm_api_internal.hpp [skipped, no changes] 2025-08-14T21:37:32.0960307Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fused_moe/instances/fused_moegemm_api_traits.hpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fused_moe/instances/fused_moegemm_api_traits.hpp [skipped, no changes] 2025-08-14T21:37:32.0963350Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise/kernels/fp8fp8fp16_rowwise_kernel_manifest.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise/kernels/fp8fp8fp16_rowwise_kernel_manifest.h [skipped, no changes] 2025-08-14T21:37:32.0985490Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise/kernels/fp8fp8bf16_rowwise_kernel_manifest.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise/kernels/fp8fp8bf16_rowwise_kernel_manifest.h [skipped, no changes] 2025-08-14T21:37:32.1003361Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise/kernels/fp8_rowwise_common.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise/kernels/fp8_rowwise_common_hip.h [skipped, already hipified] 2025-08-14T21:37:32.1005722Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_groupwise_grouped/f8f8bf16_groupwise_grouped_manifest.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_groupwise_grouped/f8f8bf16_groupwise_grouped_manifest.cuh [skipped, no changes] 2025-08-14T21:37:32.1026229Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_groupwise_grouped/f8f8bf16_groupwise_grouped_common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_groupwise_grouped/f8f8bf16_groupwise_grouped_common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1060230Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1089500Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_manifest.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_manifest.cuh [skipped, no changes] 2025-08-14T21:37:32.1104330Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1114857Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_manifest.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_manifest_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1129737Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_groupwise/f8f8bf16_groupwise_common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_groupwise/f8f8bf16_groupwise_common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1131971Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_groupwise/f8f8bf16_groupwise_manifest.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_groupwise/f8f8bf16_groupwise_manifest.cuh [skipped, no changes] 2025-08-14T21:37:32.1159030Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped_sm100/f8f8bf16_rowwise_grouped_common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped_sm100/f8f8bf16_rowwise_grouped_common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1165089Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped_sm100/f8f8bf16_rowwise_grouped_manifest.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped_sm100/f8f8bf16_rowwise_grouped_manifest.cuh [skipped, no changes] 2025-08-14T21:37:32.1191677Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1219807Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_manifest.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped/f8f8bf16_rowwise_grouped_manifest.cuh [skipped, no changes] 2025-08-14T21:37:32.1226424Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/f8f8bf16_rowwise_manifest.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/f8f8bf16_rowwise_manifest.cuh [skipped, no changes] 2025-08-14T21:37:32.1248391Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/f8f8bf16_rowwise_common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/f8f8bf16_rowwise_common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1252386Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/include/kernel_mode.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/include/kernel_mode.h [skipped, no changes] 2025-08-14T21:37:32.1334354Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/include/fp8_blockwise_cutlass_helpers.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/include/fp8_blockwise_cutlass_helpers_hip.h [skipped, already hipified] 2025-08-14T21:37:32.1347963Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/include/threadblock.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/include/threadblock.h [skipped, no changes] 2025-08-14T21:37:32.1380462Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16_grouped/f4f4bf16_grouped_common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16_grouped/f4f4bf16_grouped_common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1392400Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16_grouped/f4f4bf16_grouped_manifest.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16_grouped/f4f4bf16_grouped_manifest_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1396072Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_batched/f8f8bf16_rowwise_batched_manifest.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_batched/f8f8bf16_rowwise_batched_manifest.cuh [skipped, no changes] 2025-08-14T21:37:32.1417789Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_batched/f8f8bf16_rowwise_batched_common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_batched/f8f8bf16_rowwise_batched_common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1424864Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/fast_gemv/include/utility.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/fast_gemv/include/utility_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1430631Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/fast_gemv/include/common_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/fast_gemv/include/common_utils.h [skipped, no changes] 2025-08-14T21:37:32.1443853Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/fast_gemv/include/fast_gemv.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/fast_gemv/include/fast_gemv_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1446040Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/coalesce/coalesce.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/coalesce/coalesce.h [skipped, no changes] 2025-08-14T21:37:32.1464866Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_ssd_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_ssd_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1472507Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_weighted_vbe_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_weighted_vbe_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1490802Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_adam_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_adam_split_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1499345Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_sgd_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_sgd_split_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1506479Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_batch_index_select_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_batch_index_select_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1512920Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_unweighted_nobag_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_unweighted_nobag_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1520488Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_ssd_weighted_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_ssd_weighted_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1538639Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_lamb_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_lamb_split_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1553779Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_approx_rowwise_adagrad_with_weight_decay_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_approx_rowwise_adagrad_with_weight_decay_split_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1561051Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_unweighted_vbe_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_unweighted_vbe_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1568415Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_ssd_unweighted_vbe_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_ssd_unweighted_vbe_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1575454Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_ssd_unweighted_nobag_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_ssd_unweighted_nobag_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1595833Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_approx_rowwise_adagrad_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_approx_rowwise_adagrad_split_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1601556Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_approx_sgd_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_approx_sgd_split_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1611431Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_none_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_none_split_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1613831Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/pt2_arg_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/pt2_arg_utils.h [skipped, no changes] 2025-08-14T21:37:32.1623688Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_dense_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_dense_split_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1638839Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_with_weight_decay_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_with_weight_decay_split_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1645900Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_unweighted_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_unweighted_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1648437Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/pt2_arg_utils_ssd.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/pt2_arg_utils_ssd.h [skipped, no changes] 2025-08-14T21:37:32.1665590Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_partial_rowwise_adam_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_partial_rowwise_adam_split_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1680291Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_lars_sgd_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_lars_sgd_split_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1698856Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_partial_rowwise_lamb_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_partial_rowwise_lamb_split_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1713162Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_weighted_adagrad_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_weighted_adagrad_split_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1720575Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_weighted_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_weighted_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1743428Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_approx_rowwise_adagrad_with_counter_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_approx_rowwise_adagrad_with_counter_split_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1751120Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_ssd_weighted_vbe_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_ssd_weighted_vbe_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1758310Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_ssd_unweighted_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_ssd_unweighted_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1781538Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_with_counter_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_with_counter_split_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1786983Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_common_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_common_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1799045Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_adagrad_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_adagrad_split_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1816247Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_partial_rowwise_adam_ssd_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_partial_rowwise_adam_ssd_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1835856Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_split_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1845827Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/backward/embedding_backward_split_device_kernel_template.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/backward/embedding_backward_split_device_kernel_template_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1847656Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/pt2/pt2_arg_utils_template.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/pt2/pt2_arg_utils_template.h [skipped, no changes] 2025-08-14T21:37:32.1858396Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/optimizer/embedding_optimizer_split_device_kernel_template.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/optimizer/embedding_optimizer_split_device_kernel_template_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.1862886Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/SynchronizedShardedMap.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/SynchronizedShardedMap.h [skipped, no changes] 2025-08-14T21:37:32.1866261Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/dram_kv_embedding_inference_wrapper.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/dram_kv_embedding_inference_wrapper.h [skipped, no changes] 2025-08-14T21:37:32.1959941Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/dram_kv_embedding_cache.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/dram_kv_embedding_cache_hip.h [skipped, already hipified] 2025-08-14T21:37:32.1977634Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/fixed_block_pool.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/fixed_block_pool.h [skipped, no changes] 2025-08-14T21:37:32.1984714Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/dram_kv_embedding_cache_wrapper.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/dram_kv_embedding_cache_wrapper_hip.h [skipped, already hipified] 2025-08-14T21:37:32.2033691Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/feature_evict.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/feature_evict.h [skipped, no changes] 2025-08-14T21:37:32.2034825Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/common.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/common.h [skipped, no changes] 2025-08-14T21:37:32.2051688Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.2058842Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/tbe/eeg/indices_estimator.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/tbe/eeg/indices_estimator.h [skipped, no changes] 2025-08-14T21:37:32.2065162Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/tbe/eeg/eeg_models.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/tbe/eeg/eeg_models.h [skipped, no changes] 2025-08-14T21:37:32.2074172Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/tbe/eeg/eeg_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/tbe/eeg/eeg_utils.h [skipped, no changes] 2025-08-14T21:37:32.2080321Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/tbe/eeg/indices_generator.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/tbe/eeg/indices_generator.h [skipped, no changes] 2025-08-14T21:37:32.2085548Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/initializer.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/initializer.h [skipped, no changes] 2025-08-14T21:37:32.2094903Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/embedding_rocksdb_wrapper.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/embedding_rocksdb_wrapper_hip.h [skipped, already hipified] 2025-08-14T21:37:32.2103178Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/kv_tensor_wrapper.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/kv_tensor_wrapper.h [skipped, no changes] 2025-08-14T21:37:32.2186599Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/ssd_table_batched_embeddings.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/ssd_table_batched_embeddings_hip.h [skipped, already hipified] 2025-08-14T21:37:32.2218752Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/kv_db_table_batched_embeddings.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/kv_db_table_batched_embeddings_hip.h [skipped, already hipified] 2025-08-14T21:37:32.2220864Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/kv_db_cuda_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/kv_db_hip_utils.h [skipped, already hipified] 2025-08-14T21:37:32.2231527Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/common.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/common_hip.h [skipped, already hipified] 2025-08-14T21:37:32.2248415Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.2259861Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/quantize_mx.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/quantize_mx_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.2272137Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.2281431Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/mx_common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/mx_common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.2292170Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/mx/common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/quantize_ops/mx/common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.2295093Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/memory_utils/common.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/memory_utils/common.h [skipped, no changes] 2025-08-14T21:37:32.2299420Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/memory_utils/common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/memory_utils/common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.2305205Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ps_split_embeddings_cache/ps_table_batched_embeddings.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ps_split_embeddings_cache/ps_table_batched_embeddings_hip.h [skipped, already hipified] 2025-08-14T21:37:32.2306138Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/metric_ops/metric_ops.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/metric_ops/metric_ops.h [skipped, no changes] 2025-08-14T21:37:32.2311160Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common.h [skipped, no changes] 2025-08-14T21:37:32.2364242Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.2386941Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/embedding_forward_template_helpers.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/embedding_forward_template_helpers_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.2392908Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/split_embeddings_utils.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/split_embeddings_utils_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.2395292Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/quantize_ops.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/quantize_ops_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.2403332Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/cumem_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/cumem_utils_hip.h [skipped, already hipified] 2025-08-14T21:37:32.2411923Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/layout_transform_ops.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/layout_transform_ops_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.2412560Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/split_embeddings_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/split_embeddings_utils.h [skipped, no changes] 2025-08-14T21:37:32.2420533Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/quantize_ops_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/quantize_ops_utils.h [skipped, no changes] 2025-08-14T21:37:32.2427098Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_pooled_embedding_ops.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_pooled_embedding_ops.h [skipped, no changes] 2025-08-14T21:37:32.2430274Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_pooled_embedding_function.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_pooled_embedding_function.h [skipped, no changes] 2025-08-14T21:37:32.2434496Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_pooled_embs_function_split.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_pooled_embs_function_split.h [skipped, no changes] 2025-08-14T21:37:32.2438658Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_pooled_embedding_ops_split.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_pooled_embedding_ops_split.h [skipped, no changes] 2025-08-14T21:37:32.2449412Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/split_embeddings_cache_cuda.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/split_embeddings_cache_cuda.cuh [skipped, no changes] 2025-08-14T21:37:32.2491761Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/sparse_ops.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/sparse_ops.h [skipped, no changes] 2025-08-14T21:37:32.2496904Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/intraining_embedding_pruning.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/intraining_embedding_pruning.h [skipped, no changes] 2025-08-14T21:37:32.2505601Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/embedding_inplace_update.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/embedding_inplace_update.h [skipped, no changes] 2025-08-14T21:37:32.2506262Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/merge_pooled_embeddings.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/merge_pooled_embeddings.h [skipped, no changes] 2025-08-14T21:37:32.2508750Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/sparse_ops.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/sparse_ops_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.2512539Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/input_combine.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/input_combine.h [skipped, no changes] 2025-08-14T21:37:32.2525402Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/embedding_backward_template_helpers.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/embedding_backward_template_helpers_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.2532642Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/embedding_forward_split_cpu.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/embedding_forward_split_cpu_hip.h [skipped, already hipified] 2025-08-14T21:37:32.2537979Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/embedding_common.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/embedding_common.h [skipped, no changes] 2025-08-14T21:37:32.2545495Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_multi_embedding_function.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_multi_embedding_function_hip.h [skipped, already hipified] 2025-08-14T21:37:32.2546157Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_pooled_embs_function.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/permute_pooled_embs_function.h [skipped, no changes] 2025-08-14T21:37:32.2551180Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/faster_hash_ops/faster_hash_ops.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/faster_hash_ops/faster_hash_ops.cuh [skipped, no changes] 2025-08-14T21:37:32.2557073Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/faster_hash_ops/common_utils.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/faster_hash_ops/common_utils.cuh [skipped, no changes] 2025-08-14T21:37:32.2568685Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/faster_hash_ops/faster_hash_ops.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/faster_hash_ops/faster_hash_ops.h [skipped, no changes] 2025-08-14T21:37:32.2573340Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/config/feature_gates.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/config/feature_gates.h [skipped, no changes] 2025-08-14T21:37:32.2583549Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/split_embeddings_cache/kv_db_cpp_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/split_embeddings_cache/kv_db_cpp_utils.h [skipped, no changes] 2025-08-14T21:37:32.2593139Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/split_embeddings_cache/cachelib_cache.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/split_embeddings_cache/cachelib_cache.h [skipped, no changes] 2025-08-14T21:37:32.2609187Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/tensor_accessor.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/tensor_accessor_hip.h [skipped, already hipified] 2025-08-14T21:37:32.2626018Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/float.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/float_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.2628463Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/cub_namespace_prefix.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/cub_namespace_prefix_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.2629983Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/torch_library.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/torch_library.h [skipped, no changes] 2025-08-14T21:37:32.2660136Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/vec_quant.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/vec_quant_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.2676989Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/vec4.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/vec4_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.2697244Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/tensor_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/tensor_utils.h [skipped, no changes] 2025-08-14T21:37:32.2702935Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/find_qparams.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/find_qparams_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.2716870Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/stochastic_rounding.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/stochastic_rounding_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.2723899Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/inclusive_sum_scan.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/inclusive_sum_scan_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.2730224Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/bench_utils.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/bench_utils_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.2738285Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/cuda_prelude.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/hip_prelude.cuh [skipped, already hipified] 2025-08-14T21:37:32.2746691Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/source_context.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/source_context.h [skipped, no changes] 2025-08-14T21:37:32.2751233Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/embedding_bounds_check_common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/embedding_bounds_check_common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.2803483Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/vecn.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/vecn_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.2825717Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/weight_row.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/weight_row_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.2840109Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/tensor_accessor_builder.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/tensor_accessor_builder_hip.h [skipped, already hipified] 2025-08-14T21:37:32.2841138Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/log2.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/log2.h [skipped, no changes] 2025-08-14T21:37:32.2846791Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/enum_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/enum_utils.h [skipped, no changes] 2025-08-14T21:37:32.2851436Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/kernel_execution_timer.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/kernel_execution_timer_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.2854776Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/shared_memory.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/shared_memory_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.2859114Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/bitonic_sort.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/bitonic_sort_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.2863033Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/fixed_divisor.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/fixed_divisor.cuh [skipped, no changes] 2025-08-14T21:37:32.2877358Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/vec4acc.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/vec4acc_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.2881859Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/cuda_utilities.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/hip_utilities.cuh [skipped, already hipified] 2025-08-14T21:37:32.2909648Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/dispatch_macros.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/dispatch_macros_hip.h [skipped, already hipified] 2025-08-14T21:37:32.2910706Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/assert_macros.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/assert_macros.h [skipped, no changes] 2025-08-14T21:37:32.2917177Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/binary_search_range.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/binary_search_range.h [skipped, no changes] 2025-08-14T21:37:32.2924206Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/host_device_buffer_pair.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/host_device_buffer_pair_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.2930677Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/ops_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/ops_utils.h [skipped, no changes] 2025-08-14T21:37:32.2931901Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/topology_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/topology_utils.h [skipped, no changes] 2025-08-14T21:37:32.2939974Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/cuda_block_count.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/cuda_block_count.h [skipped, no changes] 2025-08-14T21:37:32.2943792Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/device_cache_flusher.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/device_cache_flusher_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.2946244Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/pt2_autograd_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/pt2_autograd_utils.h [skipped, no changes] 2025-08-14T21:37:32.2972383Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/kernel_launcher.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/kernel_launcher_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.2976087Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/cpu_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/cpu_utils.h [skipped, no changes] 2025-08-14T21:37:32.2976789Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/types.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/types.h [skipped, no changes] 2025-08-14T21:37:32.2979596Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/binary_search_range.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/binary_search_range.cuh [skipped, no changes] 2025-08-14T21:37:32.2981426Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/cub_namespace_postfix.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/cub_namespace_postfix_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.2984485Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/rocm/half2.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/rocm/half2.h [skipped, no changes] 2025-08-14T21:37:32.2992101Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/rocm/weight_row.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/rocm/weight_row_hip.h [skipped, already hipified] 2025-08-14T21:37:32.3001304Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/rocm/stochastic_rounding.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/rocm/stochastic_rounding_hip.h [skipped, already hipified] 2025-08-14T21:37:32.3017318Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/rocm/vec2.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/rocm/vec2_hip.h [skipped, already hipified] 2025-08-14T21:37:32.3021345Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/rocm/cdna_guard.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/rocm/cdna_guard.h [skipped, no changes] 2025-08-14T21:37:32.3040856Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/rocm/split_embeddings_common.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/rocm/split_embeddings_common.h [skipped, no changes] 2025-08-14T21:37:32.3048479Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/kv_cache/kv_cache.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/kv_cache/kv_cache.h [skipped, no changes] 2025-08-14T21:37:32.3050884Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cublas_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cublas_utils_hip.h [skipped, already hipified] 2025-08-14T21:37:32.3051894Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/common/include/fbgemm_gpu/quantize/utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/common/include/fbgemm_gpu/quantize/utils.h [skipped, no changes] 2025-08-14T21:37:32.3066400Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/common/include/fbgemm_gpu/quantize/tuning_cache.hpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/common/include/fbgemm_gpu/quantize/tuning_cache_hip.hpp [skipped, already hipified] 2025-08-14T21:37:32.3090248Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise_grouped/kernels/fp8_rowwise_grouped_kernel_manifest.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise_grouped/kernels/fp8_rowwise_grouped_kernel_manifest.h [skipped, no changes] 2025-08-14T21:37:32.3104232Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise_grouped/kernels/fp8_rowwise_grouped_common.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise_grouped/kernels/fp8_rowwise_grouped_common_hip.h [skipped, already hipified] 2025-08-14T21:37:32.3121819Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise_preshuffle/kernels/fp8_rowwise_preshuffle_common.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise_preshuffle/kernels/fp8_rowwise_preshuffle_common_hip.h [skipped, already hipified] 2025-08-14T21:37:32.3138698Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise_preshuffle/kernels/fp8_rowwise_preshuffle_kernel_manifest.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise_preshuffle/kernels/fp8_rowwise_preshuffle_kernel_manifest.h [skipped, no changes] 2025-08-14T21:37:32.3148965Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise_batched/kernels/fp8_rowwise_batched_kernel_manifest.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise_batched/kernels/fp8_rowwise_batched_kernel_manifest.h [skipped, no changes] 2025-08-14T21:37:32.3160430Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise_batched/kernels/fp8_rowwise_batched_common.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise_batched/kernels/fp8_rowwise_batched_common_hip.h [skipped, already hipified] 2025-08-14T21:37:32.3173726Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/bf16_grouped/kernels/bf16_grouped_kernel_manifest.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/bf16_grouped/kernels/bf16_grouped_kernel_manifest.h [skipped, no changes] 2025-08-14T21:37:32.3185884Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/bf16_grouped/kernels/bf16_grouped_common.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/bf16_grouped/kernels/bf16_grouped_common_hip.h [skipped, already hipified] 2025-08-14T21:37:32.3189405Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fused_moe/fused_moe.hpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fused_moe/fused_moe.hpp [skipped, no changes] 2025-08-14T21:37:32.3192472Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fused_moe/fused_moesorting.hpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fused_moe/fused_moesorting.hpp [skipped, no changes] 2025-08-14T21:37:32.3198404Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fused_moe/fused_moegemm.hpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fused_moe/fused_moegemm.hpp [skipped, no changes] 2025-08-14T21:37:32.3202320Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fused_moe/instances/fused_moegemm_api_internal.hpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fused_moe/instances/fused_moegemm_api_internal.hpp [skipped, no changes] 2025-08-14T21:37:32.3206336Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fused_moe/instances/fused_moegemm_api_traits.hpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fused_moe/instances/fused_moegemm_api_traits.hpp [skipped, no changes] 2025-08-14T21:37:32.3209416Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise/kernels/fp8fp8fp16_rowwise_kernel_manifest.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise/kernels/fp8fp8fp16_rowwise_kernel_manifest.h [skipped, no changes] 2025-08-14T21:37:32.3231866Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise/kernels/fp8fp8bf16_rowwise_kernel_manifest.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise/kernels/fp8fp8bf16_rowwise_kernel_manifest.h [skipped, no changes] 2025-08-14T21:37:32.3249993Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise/kernels/fp8_rowwise_common.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/ck_extensions/fp8_rowwise/kernels/fp8_rowwise_common_hip.h [skipped, already hipified] 2025-08-14T21:37:32.3252376Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_groupwise_grouped/f8f8bf16_groupwise_grouped_manifest.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_groupwise_grouped/f8f8bf16_groupwise_grouped_manifest.cuh [skipped, no changes] 2025-08-14T21:37:32.3272974Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_groupwise_grouped/f8f8bf16_groupwise_grouped_common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_groupwise_grouped/f8f8bf16_groupwise_grouped_common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.3307453Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.3337443Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_manifest.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_manifest.cuh [skipped, no changes] 2025-08-14T21:37:32.3352640Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.3362884Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_manifest.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_manifest_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.3378219Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_groupwise/f8f8bf16_groupwise_common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_groupwise/f8f8bf16_groupwise_common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.3379943Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_groupwise/f8f8bf16_groupwise_manifest.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_groupwise/f8f8bf16_groupwise_manifest.cuh [skipped, no changes] 2025-08-14T21:37:32.3407752Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped_sm100/f8f8bf16_rowwise_grouped_common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_grouped_sm100/f8f8bf16_rowwise_grouped_common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.3413725Z 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/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/include/kernel_mode.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/include/kernel_mode.h [skipped, no changes] 2025-08-14T21:37:32.3583504Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/include/fp8_blockwise_cutlass_helpers.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/include/fp8_blockwise_cutlass_helpers_hip.h [skipped, already hipified] 2025-08-14T21:37:32.3597481Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/include/threadblock.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/include/threadblock.h [skipped, no changes] 2025-08-14T21:37:32.3629512Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16_grouped/f4f4bf16_grouped_common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16_grouped/f4f4bf16_grouped_common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.3642135Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16_grouped/f4f4bf16_grouped_manifest.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16_grouped/f4f4bf16_grouped_manifest_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.3645814Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_batched/f8f8bf16_rowwise_batched_manifest.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_batched/f8f8bf16_rowwise_batched_manifest.cuh [skipped, no changes] 2025-08-14T21:37:32.3667555Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_batched/f8f8bf16_rowwise_batched_common.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise_batched/f8f8bf16_rowwise_batched_common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.3674747Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/fast_gemv/include/utility.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/fast_gemv/include/utility_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.3680574Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/fast_gemv/include/common_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/fast_gemv/include/common_utils.h [skipped, no changes] 2025-08-14T21:37:32.3693407Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/fast_gemv/include/fast_gemv.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/fast_gemv/include/fast_gemv_hip.cuh [skipped, already hipified] 2025-08-14T21:37:32.3698234Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/coalesce/coalesce.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/coalesce/coalesce.h [skipped, no changes] 2025-08-14T21:37:32.3698891Z Successfully preprocessed all matching files. 2025-08-14T21:37:32.3710990Z Total number of unsupported CUDA function calls: 0 2025-08-14T21:37:32.3711203Z 2025-08-14T21:37:32.3711216Z 2025-08-14T21:37:32.3711456Z Total number of replaced kernel launches: 233 2025-08-14T21:37:32.7296209Z  2025-08-14T21:37:32.7296471Z  2025-08-14T21:37:32.7296772Z ================================================================================ 2025-08-14T21:37:32.7297069Z HIPify Sources 2025-08-14T21:37:32.7297249Z   2025-08-14T21:37:32.7297411Z CUDA_SOURCE_DIR: 2025-08-14T21:37:32.7297651Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:32.7297887Z   2025-08-14T21:37:32.7298054Z HEADER_INCLUDE_DIR: 2025-08-14T21:37:32.7298319Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:32.7298630Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src 2025-08-14T21:37:32.7298909Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:32.7299259Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/example 2025-08-14T21:37:32.7299654Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai 2025-08-14T21:37:32.7299991Z ================================================================================ 2025-08-14T21:37:32.7300214Z  2025-08-14T21:37:32.7307153Z -- Adding merge_pooled_embeddings sources 2025-08-14T21:37:32.7307863Z -- Writing tmp_spYqRwyJbtEuVOmV into file - file_tmp_spYqRwyJbtEuVOmV.txt 2025-08-14T21:37:32.7554480Z  2025-08-14T21:37:32.7554702Z  2025-08-14T21:37:32.7554921Z ================================================================================ 2025-08-14T21:37:32.7555258Z GPU CPP Library Target: fbgemm_gpu_tbe_cache (SHARED) 2025-08-14T21:37:32.7555513Z   2025-08-14T21:37:32.7555665Z CPU_SRCS: 2025-08-14T21:37:32.7556070Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_populate_byte.cpp 2025-08-14T21:37:32.7556681Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/linearize_cache_indices.cpp 2025-08-14T21:37:32.7562683Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_populate_byte.cpp 2025-08-14T21:37:32.7563534Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lxu_cache.cpp 2025-08-14T21:37:32.7564134Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/split_embeddings_cache_ops.cpp 2025-08-14T21:37:32.7564518Z   2025-08-14T21:37:32.7564669Z GPU_SRCS: 2025-08-14T21:37:32.7565032Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_find.cu 2025-08-14T21:37:32.7565580Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_populate.cu 2025-08-14T21:37:32.7566152Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_populate_byte.cu 2025-08-14T21:37:32.7566734Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/linearize_cache_indices.cu 2025-08-14T21:37:32.7567296Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_find.cu 2025-08-14T21:37:32.7567846Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_populate.cu 2025-08-14T21:37:32.7568728Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_populate_byte.cu 2025-08-14T21:37:32.7569270Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lxu_cache.cu 2025-08-14T21:37:32.7569814Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/reset_weight_momentum.cu 2025-08-14T21:37:32.7570407Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/split_embeddings_cache_ops.cu 2025-08-14T21:37:32.7570781Z   2025-08-14T21:37:32.7574375Z CUDA_SPECIFIC_SRCS: 2025-08-14T21:37:32.7574638Z  2025-08-14T21:37:32.7574785Z   2025-08-14T21:37:32.7574949Z HIP_SPECIFIC_SRCS: 2025-08-14T21:37:32.7575152Z  2025-08-14T21:37:32.7575288Z   2025-08-14T21:37:32.7575438Z OTHER_SRCS: 2025-08-14T21:37:32.7575591Z  2025-08-14T21:37:32.7575725Z   2025-08-14T21:37:32.7575887Z CC_FLAGS: 2025-08-14T21:37:32.7576044Z  2025-08-14T21:37:32.7578668Z   2025-08-14T21:37:32.7578887Z NVCC_FLAGS: 2025-08-14T21:37:32.7579085Z --expt-relaxed-constexpr 2025-08-14T21:37:32.7579295Z -D__CUDA_NO_HALF_OPERATORS__ 2025-08-14T21:37:32.7579512Z -D__CUDA_NO_BFLOAT16_CONVERSIONS__ 2025-08-14T21:37:32.7579732Z -D__CUDA_NO_HALF2_OPERATORS__ 2025-08-14T21:37:32.7579912Z   2025-08-14T21:37:32.7580058Z HIPCC_FLAGS: 2025-08-14T21:37:32.7580214Z  2025-08-14T21:37:32.7580347Z   2025-08-14T21:37:32.7580493Z INCLUDE_DIRS: 2025-08-14T21:37:32.7583171Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:32.7583563Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:32.7583878Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:32.7584204Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:32.7584570Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:32.7585248Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:32.7585672Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src 2025-08-14T21:37:32.7586069Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cpuinfo/include 2025-08-14T21:37:32.7586470Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/include 2025-08-14T21:37:32.7586906Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/tools/util/include 2025-08-14T21:37:32.7587358Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/include 2025-08-14T21:37:32.7590231Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/library/include 2025-08-14T21:37:32.7590770Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/json/include 2025-08-14T21:37:32.7591075Z   2025-08-14T21:37:32.7591258Z Selected Source Files: 2025-08-14T21:37:32.7591656Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_populate_byte.cpp 2025-08-14T21:37:32.7592285Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/linearize_cache_indices.cpp 2025-08-14T21:37:32.7593009Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_populate_byte.cpp 2025-08-14T21:37:32.7593581Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lxu_cache.cpp 2025-08-14T21:37:32.7594152Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/split_embeddings_cache_ops.cpp 2025-08-14T21:37:32.7594690Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_find.cu 2025-08-14T21:37:32.7595207Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_populate.cu 2025-08-14T21:37:32.7597896Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_populate_byte.cu 2025-08-14T21:37:32.7598705Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/linearize_cache_indices.cu 2025-08-14T21:37:32.7599235Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_find.cu 2025-08-14T21:37:32.7599755Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_populate.cu 2025-08-14T21:37:32.7600304Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_populate_byte.cu 2025-08-14T21:37:32.7600819Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lxu_cache.cu 2025-08-14T21:37:32.7601356Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/reset_weight_momentum.cu 2025-08-14T21:37:32.7601911Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/split_embeddings_cache_ops.cu 2025-08-14T21:37:32.7602259Z   2025-08-14T21:37:32.7602421Z HIPified Source Files: 2025-08-14T21:37:32.7602932Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_populate_byte_hip.cpp 2025-08-14T21:37:32.7605083Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/linearize_cache_indices_hip.cpp 2025-08-14T21:37:32.7605449Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_populate_byte_hip.cpp 2025-08-14T21:37:32.7605781Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lxu_cache_hip.cpp 2025-08-14T21:37:32.7606133Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/split_embeddings_cache_ops_hip.cpp 2025-08-14T21:37:32.7606667Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_find.hip 2025-08-14T21:37:32.7607013Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_populate.hip 2025-08-14T21:37:32.7607356Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_populate_byte.hip 2025-08-14T21:37:32.7607822Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/linearize_cache_indices.hip 2025-08-14T21:37:32.7608149Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_find.hip 2025-08-14T21:37:32.7608469Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_populate.hip 2025-08-14T21:37:32.7608802Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_populate_byte.hip 2025-08-14T21:37:32.7610472Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lxu_cache.hip 2025-08-14T21:37:32.7610789Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/reset_weight_momentum.hip 2025-08-14T21:37:32.7611252Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/split_embeddings_cache_ops.hip 2025-08-14T21:37:32.7611479Z   2025-08-14T21:37:32.7611599Z Library Dependencies: 2025-08-14T21:37:32.7611719Z torch 2025-08-14T21:37:32.7611817Z torch_library 2025-08-14T21:37:32.7612004Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:32.7612172Z   2025-08-14T21:37:32.7612266Z Output Library: 2025-08-14T21:37:32.7612388Z fbgemm_gpu_tbe_cache 2025-08-14T21:37:32.7613782Z   2025-08-14T21:37:32.7613894Z Destination Directory: 2025-08-14T21:37:32.7614010Z fbgemm_gpu 2025-08-14T21:37:32.7614148Z ================================================================================ 2025-08-14T21:37:32.7614280Z  2025-08-14T21:37:32.8159080Z -- Writing tmp_m2uflvmNgzkMsCrv into file - file_tmp_m2uflvmNgzkMsCrv.txt 2025-08-14T21:37:32.8438021Z  2025-08-14T21:37:32.8438158Z  2025-08-14T21:37:32.8438319Z ================================================================================ 2025-08-14T21:37:32.8438786Z GPU CPP Library Target: fbgemm_gpu_tbe_inference (SHARED) 2025-08-14T21:37:32.8438962Z   2025-08-14T21:37:32.8439067Z CPU_SRCS: 2025-08-14T21:37:32.8439238Z codegen/inference/embedding_forward_quantized_host_cpu.cpp 2025-08-14T21:37:32.8439644Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_unweighted_codegen_cpu.cpp 2025-08-14T21:37:32.8440151Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_weighted_codegen_cpu.cpp 2025-08-14T21:37:32.8440441Z   2025-08-14T21:37:32.8440542Z GPU_SRCS: 2025-08-14T21:37:32.8440707Z codegen/inference/embedding_forward_quantized_host.cpp 2025-08-14T21:37:32.8440945Z codegen/inference/embedding_forward_quantized_split_lookup.cu 2025-08-14T21:37:32.8441356Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_weighted_fp32_codegen_cuda.cu 2025-08-14T21:37:32.8445821Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_weighted_fp16_codegen_cuda.cu 2025-08-14T21:37:32.8446402Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_weighted_fp8_codegen_cuda.cu 2025-08-14T21:37:32.8446936Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_weighted_int8_codegen_cuda.cu 2025-08-14T21:37:32.8447484Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_weighted_int4_codegen_cuda.cu 2025-08-14T21:37:32.8448013Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_weighted_int2_codegen_cuda.cu 2025-08-14T21:37:32.8448690Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_fp32_codegen_cuda.cu 2025-08-14T21:37:32.8449242Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_fp16_codegen_cuda.cu 2025-08-14T21:37:32.8449790Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_fp8_codegen_cuda.cu 2025-08-14T21:37:32.8450346Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_int8_codegen_cuda.cu 2025-08-14T21:37:32.8450898Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_int4_codegen_cuda.cu 2025-08-14T21:37:32.8451541Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_int2_codegen_cuda.cu 2025-08-14T21:37:32.8452085Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_fp32_codegen_cuda.cu 2025-08-14T21:37:32.8452619Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_fp16_codegen_cuda.cu 2025-08-14T21:37:32.8453247Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_fp8_codegen_cuda.cu 2025-08-14T21:37:32.8453785Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_int8_codegen_cuda.cu 2025-08-14T21:37:32.8454377Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_int4_codegen_cuda.cu 2025-08-14T21:37:32.8454908Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_int2_codegen_cuda.cu 2025-08-14T21:37:32.8455426Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_host_weighted_codegen_cuda.cu 2025-08-14T21:37:32.8455943Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_host_unweighted_nobag_codegen_cuda.cu 2025-08-14T21:37:32.8456464Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_host_unweighted_codegen_cuda.cu 2025-08-14T21:37:32.8456758Z   2025-08-14T21:37:32.8456862Z CUDA_SPECIFIC_SRCS: 2025-08-14T21:37:32.8456981Z  2025-08-14T21:37:32.8457076Z   2025-08-14T21:37:32.8457183Z HIP_SPECIFIC_SRCS: 2025-08-14T21:37:32.8457296Z  2025-08-14T21:37:32.8457384Z   2025-08-14T21:37:32.8457480Z OTHER_SRCS: 2025-08-14T21:37:32.8457578Z  2025-08-14T21:37:32.8457660Z   2025-08-14T21:37:32.8457750Z CC_FLAGS: 2025-08-14T21:37:32.8457844Z  2025-08-14T21:37:32.8457929Z   2025-08-14T21:37:32.8458021Z NVCC_FLAGS: 2025-08-14T21:37:32.8458145Z --expt-relaxed-constexpr 2025-08-14T21:37:32.8458287Z -D__CUDA_NO_HALF_OPERATORS__ 2025-08-14T21:37:32.8458439Z -D__CUDA_NO_BFLOAT16_CONVERSIONS__ 2025-08-14T21:37:32.8458589Z -D__CUDA_NO_HALF2_OPERATORS__ 2025-08-14T21:37:32.8458709Z   2025-08-14T21:37:32.8458808Z HIPCC_FLAGS: 2025-08-14T21:37:32.8458918Z  2025-08-14T21:37:32.8459010Z   2025-08-14T21:37:32.8459110Z INCLUDE_DIRS: 2025-08-14T21:37:32.8459319Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:32.8459511Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:32.8459698Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:32.8459901Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:32.8460124Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:32.8460401Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:32.8460679Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src 2025-08-14T21:37:32.8460935Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cpuinfo/include 2025-08-14T21:37:32.8461192Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/include 2025-08-14T21:37:32.8461468Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/tools/util/include 2025-08-14T21:37:32.8461765Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/include 2025-08-14T21:37:32.8462070Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/library/include 2025-08-14T21:37:32.8462351Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/json/include 2025-08-14T21:37:32.8464138Z   2025-08-14T21:37:32.8464251Z Selected Source Files: 2025-08-14T21:37:32.8464434Z codegen/inference/embedding_forward_quantized_host_cpu.cpp 2025-08-14T21:37:32.8464792Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_unweighted_codegen_cpu.cpp 2025-08-14T21:37:32.8465256Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_weighted_codegen_cpu.cpp 2025-08-14T21:37:32.8465647Z codegen/inference/embedding_forward_quantized_host.cpp 2025-08-14T21:37:32.8465868Z codegen/inference/embedding_forward_quantized_split_lookup.cu 2025-08-14T21:37:32.8466260Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_weighted_fp32_codegen_cuda.cu 2025-08-14T21:37:32.8466790Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_weighted_fp16_codegen_cuda.cu 2025-08-14T21:37:32.8467312Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_weighted_fp8_codegen_cuda.cu 2025-08-14T21:37:32.8467836Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_weighted_int8_codegen_cuda.cu 2025-08-14T21:37:32.8469455Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_weighted_int4_codegen_cuda.cu 2025-08-14T21:37:32.8469990Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_weighted_int2_codegen_cuda.cu 2025-08-14T21:37:32.8470524Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_fp32_codegen_cuda.cu 2025-08-14T21:37:32.8471070Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_fp16_codegen_cuda.cu 2025-08-14T21:37:32.8471612Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_fp8_codegen_cuda.cu 2025-08-14T21:37:32.8472213Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_int8_codegen_cuda.cu 2025-08-14T21:37:32.8472830Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_int4_codegen_cuda.cu 2025-08-14T21:37:32.8473375Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_int2_codegen_cuda.cu 2025-08-14T21:37:32.8473911Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_fp32_codegen_cuda.cu 2025-08-14T21:37:32.8474439Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_fp16_codegen_cuda.cu 2025-08-14T21:37:32.8474966Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_fp8_codegen_cuda.cu 2025-08-14T21:37:32.8476505Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_int8_codegen_cuda.cu 2025-08-14T21:37:32.8477035Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_int4_codegen_cuda.cu 2025-08-14T21:37:32.8477561Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_int2_codegen_cuda.cu 2025-08-14T21:37:32.8478076Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_host_weighted_codegen_cuda.cu 2025-08-14T21:37:32.8478591Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_host_unweighted_nobag_codegen_cuda.cu 2025-08-14T21:37:32.8479170Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_host_unweighted_codegen_cuda.cu 2025-08-14T21:37:32.8479459Z   2025-08-14T21:37:32.8479562Z HIPified Source Files: 2025-08-14T21:37:32.8479821Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/inference/embedding_forward_quantized_host_cpu_hip.cpp 2025-08-14T21:37:32.8480256Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_unweighted_codegen_cpu_hip.cpp 2025-08-14T21:37:32.8481681Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_weighted_codegen_cpu_hip.cpp 2025-08-14T21:37:32.8482098Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/inference/embedding_forward_quantized_host_hip.cpp 2025-08-14T21:37:32.8482475Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/inference/embedding_forward_quantized_split_lookup.hip 2025-08-14T21:37:32.8483004Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_weighted_fp32_codegen_hip.hip 2025-08-14T21:37:32.8483526Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_weighted_fp16_codegen_hip.hip 2025-08-14T21:37:32.8484049Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_weighted_fp8_codegen_hip.hip 2025-08-14T21:37:32.8484571Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_weighted_int8_codegen_hip.hip 2025-08-14T21:37:32.8485094Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_weighted_int4_codegen_hip.hip 2025-08-14T21:37:32.8485674Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_weighted_int2_codegen_hip.hip 2025-08-14T21:37:32.8486210Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_fp32_codegen_hip.hip 2025-08-14T21:37:32.8486760Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_fp16_codegen_hip.hip 2025-08-14T21:37:32.8488256Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_fp8_codegen_hip.hip 2025-08-14T21:37:32.8488809Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_int8_codegen_hip.hip 2025-08-14T21:37:32.8489362Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_int4_codegen_hip.hip 2025-08-14T21:37:32.8489906Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_int2_codegen_hip.hip 2025-08-14T21:37:32.8490441Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_fp32_codegen_hip.hip 2025-08-14T21:37:32.8490969Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_fp16_codegen_hip.hip 2025-08-14T21:37:32.8491540Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_fp8_codegen_hip.hip 2025-08-14T21:37:32.8492129Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_int8_codegen_hip.hip 2025-08-14T21:37:32.8492657Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_int4_codegen_hip.hip 2025-08-14T21:37:32.8493250Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_int2_codegen_hip.hip 2025-08-14T21:37:32.8493768Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_host_weighted_codegen_hip.hip 2025-08-14T21:37:32.8495245Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_host_unweighted_nobag_codegen_hip.hip 2025-08-14T21:37:32.8495773Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_host_unweighted_codegen_hip.hip 2025-08-14T21:37:32.8496064Z   2025-08-14T21:37:32.8496165Z Library Dependencies: 2025-08-14T21:37:32.8496279Z torch 2025-08-14T21:37:32.8496376Z torch_library 2025-08-14T21:37:32.8496558Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:32.8496729Z asmjit 2025-08-14T21:37:32.8496821Z fbgemm 2025-08-14T21:37:32.8496930Z fbgemm_gpu_tbe_cache 2025-08-14T21:37:32.8497048Z fbgemm_gpu_config 2025-08-14T21:37:32.8498071Z   2025-08-14T21:37:32.8498167Z Output Library: 2025-08-14T21:37:32.8498284Z fbgemm_gpu_tbe_inference 2025-08-14T21:37:32.8498396Z   2025-08-14T21:37:32.8498499Z Destination Directory: 2025-08-14T21:37:32.8498613Z fbgemm_gpu 2025-08-14T21:37:32.8498801Z ================================================================================ 2025-08-14T21:37:32.8498933Z  2025-08-14T21:37:33.1270103Z -- Writing tmp_4PbbARt7IUtzyTuT into file - file_tmp_4PbbARt7IUtzyTuT.txt 2025-08-14T21:37:33.1474890Z  2025-08-14T21:37:33.1484029Z  2025-08-14T21:37:33.1484495Z ================================================================================ 2025-08-14T21:37:33.1485100Z GPU CPP Library Target: fbgemm_gpu_config (SHARED) 2025-08-14T21:37:33.1485512Z   2025-08-14T21:37:33.1485777Z CPU_SRCS: 2025-08-14T21:37:33.1486101Z src/config/feature_gates.cpp 2025-08-14T21:37:33.1486367Z   2025-08-14T21:37:33.1486470Z GPU_SRCS: 2025-08-14T21:37:33.1486568Z  2025-08-14T21:37:33.1486653Z   2025-08-14T21:37:33.1486754Z CUDA_SPECIFIC_SRCS: 2025-08-14T21:37:33.1488519Z  2025-08-14T21:37:33.1488672Z   2025-08-14T21:37:33.1488772Z HIP_SPECIFIC_SRCS: 2025-08-14T21:37:33.1489117Z  2025-08-14T21:37:33.1489220Z   2025-08-14T21:37:33.1489308Z OTHER_SRCS: 2025-08-14T21:37:33.1489400Z  2025-08-14T21:37:33.1489483Z   2025-08-14T21:37:33.1489569Z CC_FLAGS: 2025-08-14T21:37:33.1489657Z  2025-08-14T21:37:33.1489737Z   2025-08-14T21:37:33.1489828Z NVCC_FLAGS: 2025-08-14T21:37:33.1489928Z  2025-08-14T21:37:33.1490020Z   2025-08-14T21:37:33.1490120Z HIPCC_FLAGS: 2025-08-14T21:37:33.1490232Z  2025-08-14T21:37:33.1491484Z   2025-08-14T21:37:33.1491582Z INCLUDE_DIRS: 2025-08-14T21:37:33.1491742Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:33.1491929Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:33.1492108Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:33.1492299Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:33.1492927Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:33.1493208Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:33.1493475Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src 2025-08-14T21:37:33.1493720Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cpuinfo/include 2025-08-14T21:37:33.1493969Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/include 2025-08-14T21:37:33.1495303Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/tools/util/include 2025-08-14T21:37:33.1495593Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/include 2025-08-14T21:37:33.1495888Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/library/include 2025-08-14T21:37:33.1496162Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/json/include 2025-08-14T21:37:33.1496339Z   2025-08-14T21:37:33.1496447Z Selected Source Files: 2025-08-14T21:37:33.1496578Z src/config/feature_gates.cpp 2025-08-14T21:37:33.1496695Z   2025-08-14T21:37:33.1496795Z HIPified Source Files: 2025-08-14T21:37:33.1496984Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/config/feature_gates.cpp 2025-08-14T21:37:33.1497156Z   2025-08-14T21:37:33.1498181Z Library Dependencies: 2025-08-14T21:37:33.1498299Z torch 2025-08-14T21:37:33.1498396Z torch_library 2025-08-14T21:37:33.1498573Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:33.1498738Z   2025-08-14T21:37:33.1498831Z Output Library: 2025-08-14T21:37:33.1498942Z fbgemm_gpu_config 2025-08-14T21:37:33.1499044Z   2025-08-14T21:37:33.1499140Z Destination Directory: 2025-08-14T21:37:33.1499254Z fbgemm_gpu 2025-08-14T21:37:33.1499390Z ================================================================================ 2025-08-14T21:37:33.1500536Z  2025-08-14T21:37:33.1500676Z -- Writing tmp_vdLHPoRBECDFUJqQ into file - file_tmp_vdLHPoRBECDFUJqQ.txt 2025-08-14T21:37:33.1686483Z  2025-08-14T21:37:33.1686668Z  2025-08-14T21:37:33.1686823Z ================================================================================ 2025-08-14T21:37:33.1687084Z GPU CPP Library Target: fbgemm_gpu_tbe_utils (SHARED) 2025-08-14T21:37:33.1687272Z   2025-08-14T21:37:33.1687370Z CPU_SRCS: 2025-08-14T21:37:33.1687535Z src/split_embeddings_utils/split_embeddings_utils_cpu.cpp 2025-08-14T21:37:33.1687750Z src/split_embeddings_utils/split_embeddings_utils_meta.cpp 2025-08-14T21:37:33.1690030Z   2025-08-14T21:37:33.1690142Z GPU_SRCS: 2025-08-14T21:37:33.1690327Z src/split_embeddings_utils/split_embeddings_utils.cpp 2025-08-14T21:37:33.1690532Z src/split_embeddings_utils/generate_vbe_metadata.cu 2025-08-14T21:37:33.1690722Z src/split_embeddings_utils/get_infos_metadata.cu 2025-08-14T21:37:33.1690905Z src/split_embeddings_utils/radix_sort_pairs.cu 2025-08-14T21:37:33.1691182Z src/split_embeddings_utils/transpose_embedding_input.cu 2025-08-14T21:37:33.1691333Z   2025-08-14T21:37:33.1691432Z CUDA_SPECIFIC_SRCS: 2025-08-14T21:37:33.1691538Z  2025-08-14T21:37:33.1691620Z   2025-08-14T21:37:33.1693175Z HIP_SPECIFIC_SRCS: 2025-08-14T21:37:33.1693287Z  2025-08-14T21:37:33.1693375Z   2025-08-14T21:37:33.1693477Z OTHER_SRCS: 2025-08-14T21:37:33.1693569Z  2025-08-14T21:37:33.1693666Z   2025-08-14T21:37:33.1693749Z CC_FLAGS: 2025-08-14T21:37:33.1693839Z  2025-08-14T21:37:33.1693919Z   2025-08-14T21:37:33.1694007Z NVCC_FLAGS: 2025-08-14T21:37:33.1694099Z  2025-08-14T21:37:33.1694182Z   2025-08-14T21:37:33.1694365Z HIPCC_FLAGS: 2025-08-14T21:37:33.1694463Z  2025-08-14T21:37:33.1694544Z   2025-08-14T21:37:33.1695961Z INCLUDE_DIRS: 2025-08-14T21:37:33.1696127Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:33.1696312Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:33.1696493Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:33.1696685Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:33.1696905Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:33.1697173Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:33.1697439Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src 2025-08-14T21:37:33.1697680Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cpuinfo/include 2025-08-14T21:37:33.1697927Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/include 2025-08-14T21:37:33.1698201Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/tools/util/include 2025-08-14T21:37:33.1699492Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/include 2025-08-14T21:37:33.1699789Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/library/include 2025-08-14T21:37:33.1700064Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/json/include 2025-08-14T21:37:33.1700228Z   2025-08-14T21:37:33.1700329Z Selected Source Files: 2025-08-14T21:37:33.1700499Z src/split_embeddings_utils/split_embeddings_utils_cpu.cpp 2025-08-14T21:37:33.1700708Z src/split_embeddings_utils/split_embeddings_utils_meta.cpp 2025-08-14T21:37:33.1700909Z src/split_embeddings_utils/split_embeddings_utils.cpp 2025-08-14T21:37:33.1701101Z src/split_embeddings_utils/generate_vbe_metadata.cu 2025-08-14T21:37:33.1701285Z src/split_embeddings_utils/get_infos_metadata.cu 2025-08-14T21:37:33.1701464Z src/split_embeddings_utils/radix_sort_pairs.cu 2025-08-14T21:37:33.1702626Z src/split_embeddings_utils/transpose_embedding_input.cu 2025-08-14T21:37:33.1702905Z   2025-08-14T21:37:33.1703005Z HIPified Source Files: 2025-08-14T21:37:33.1703254Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_utils/split_embeddings_utils_cpu.cpp 2025-08-14T21:37:33.1703612Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_utils/split_embeddings_utils_meta.cpp 2025-08-14T21:37:33.1703962Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_utils/split_embeddings_utils_hip.cpp 2025-08-14T21:37:33.1704302Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_utils/generate_vbe_metadata.hip 2025-08-14T21:37:33.1704630Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_utils/get_infos_metadata.hip 2025-08-14T21:37:33.1704948Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_utils/radix_sort_pairs.hip 2025-08-14T21:37:33.1705289Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_utils/transpose_embedding_input.hip 2025-08-14T21:37:33.1706450Z   2025-08-14T21:37:33.1706554Z Library Dependencies: 2025-08-14T21:37:33.1706667Z torch 2025-08-14T21:37:33.1706764Z torch_library 2025-08-14T21:37:33.1706944Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:33.1707109Z   2025-08-14T21:37:33.1707201Z Output Library: 2025-08-14T21:37:33.1707320Z fbgemm_gpu_tbe_utils 2025-08-14T21:37:33.1707426Z   2025-08-14T21:37:33.1707523Z Destination Directory: 2025-08-14T21:37:33.1707635Z fbgemm_gpu 2025-08-14T21:37:33.1707767Z ================================================================================ 2025-08-14T21:37:33.1708805Z  2025-08-14T21:37:33.1708941Z -- Writing tmp_hbN012Nnm2LTvN9Z into file - file_tmp_hbN012Nnm2LTvN9Z.txt 2025-08-14T21:37:33.1892333Z  2025-08-14T21:37:33.1894152Z  2025-08-14T21:37:33.1894762Z ================================================================================ 2025-08-14T21:37:33.1895385Z GPU CPP Library Target: fbgemm_gpu_sparse_async_cumsum (SHARED) 2025-08-14T21:37:33.1895848Z   2025-08-14T21:37:33.1896116Z CPU_SRCS: 2025-08-14T21:37:33.1896434Z src/sparse_ops/sparse_async_cumsum.cpp 2025-08-14T21:37:33.1896567Z   2025-08-14T21:37:33.1901608Z GPU_SRCS: 2025-08-14T21:37:33.1901748Z src/sparse_ops/sparse_async_cumsum.cu 2025-08-14T21:37:33.1901889Z   2025-08-14T21:37:33.1901998Z CUDA_SPECIFIC_SRCS: 2025-08-14T21:37:33.1902107Z  2025-08-14T21:37:33.1902193Z   2025-08-14T21:37:33.1902290Z HIP_SPECIFIC_SRCS: 2025-08-14T21:37:33.1902394Z  2025-08-14T21:37:33.1902484Z   2025-08-14T21:37:33.1902572Z OTHER_SRCS: 2025-08-14T21:37:33.1902678Z  2025-08-14T21:37:33.1904250Z   2025-08-14T21:37:33.1904350Z CC_FLAGS: 2025-08-14T21:37:33.1904451Z  2025-08-14T21:37:33.1904532Z   2025-08-14T21:37:33.1904619Z NVCC_FLAGS: 2025-08-14T21:37:33.1904712Z  2025-08-14T21:37:33.1904790Z   2025-08-14T21:37:33.1904878Z HIPCC_FLAGS: 2025-08-14T21:37:33.1904973Z  2025-08-14T21:37:33.1905055Z   2025-08-14T21:37:33.1905143Z INCLUDE_DIRS: 2025-08-14T21:37:33.1905303Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:33.1906540Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:33.1906726Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:33.1906921Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:33.1907147Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:33.1907421Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:33.1907908Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src 2025-08-14T21:37:33.1908163Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cpuinfo/include 2025-08-14T21:37:33.1908413Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/include 2025-08-14T21:37:33.1908682Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/tools/util/include 2025-08-14T21:37:33.1908962Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/include 2025-08-14T21:37:33.1909259Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/library/include 2025-08-14T21:37:33.1910555Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/json/include 2025-08-14T21:37:33.1910731Z   2025-08-14T21:37:33.1910841Z Selected Source Files: 2025-08-14T21:37:33.1910983Z src/sparse_ops/sparse_async_cumsum.cpp 2025-08-14T21:37:33.1911141Z src/sparse_ops/sparse_async_cumsum.cu 2025-08-14T21:37:33.1911264Z   2025-08-14T21:37:33.1911376Z HIPified Source Files: 2025-08-14T21:37:33.1911595Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_async_cumsum_hip.cpp 2025-08-14T21:37:33.1911889Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_async_cumsum.hip 2025-08-14T21:37:33.1912073Z   2025-08-14T21:37:33.1912177Z Library Dependencies: 2025-08-14T21:37:33.1913327Z torch 2025-08-14T21:37:33.1913429Z torch_library 2025-08-14T21:37:33.1913611Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:33.1913803Z fbgemm_gpu_tbe_utils 2025-08-14T21:37:33.1913910Z   2025-08-14T21:37:33.1914004Z Output Library: 2025-08-14T21:37:33.1914125Z fbgemm_gpu_sparse_async_cumsum 2025-08-14T21:37:33.1914245Z   2025-08-14T21:37:33.1914343Z Destination Directory: 2025-08-14T21:37:33.1914576Z fbgemm_gpu 2025-08-14T21:37:33.1914713Z ================================================================================ 2025-08-14T21:37:33.1915823Z  2025-08-14T21:37:33.1915964Z -- Writing tmp_wLnA12nzFw6aK6A7 into file - file_tmp_wLnA12nzFw6aK6A7.txt 2025-08-14T21:37:33.2116614Z  2025-08-14T21:37:33.2117118Z  2025-08-14T21:37:33.2117744Z ================================================================================ 2025-08-14T21:37:33.2119849Z GPU CPP Library Target: fbgemm_gpu_tbe_common (SHARED) 2025-08-14T21:37:33.2120215Z   2025-08-14T21:37:33.2120364Z CPU_SRCS: 2025-08-14T21:37:33.2120602Z codegen/utils/embedding_bounds_check_host_cpu.cpp 2025-08-14T21:37:33.2120912Z codegen/training/forward/embedding_forward_split_cpu.cpp 2025-08-14T21:37:33.2126759Z codegen/training/forward/embedding_forward_split_nobag_cpu.cpp 2025-08-14T21:37:33.2126983Z codegen/training/pt2/pt2_autograd_utils.cpp 2025-08-14T21:37:33.2127190Z   2025-08-14T21:37:33.2127298Z GPU_SRCS: 2025-08-14T21:37:33.2127462Z codegen/utils/embedding_bounds_check_v1.cu 2025-08-14T21:37:33.2127638Z codegen/utils/embedding_bounds_check_v2.cu 2025-08-14T21:37:33.2127815Z codegen/utils/embedding_bounds_check_host.cpp 2025-08-14T21:37:33.2127954Z   2025-08-14T21:37:33.2128052Z CUDA_SPECIFIC_SRCS: 2025-08-14T21:37:33.2128157Z  2025-08-14T21:37:33.2128243Z   2025-08-14T21:37:33.2128344Z HIP_SPECIFIC_SRCS: 2025-08-14T21:37:33.2128451Z  2025-08-14T21:37:33.2128545Z   2025-08-14T21:37:33.2128648Z OTHER_SRCS: 2025-08-14T21:37:33.2130282Z  2025-08-14T21:37:33.2130371Z   2025-08-14T21:37:33.2130466Z CC_FLAGS: 2025-08-14T21:37:33.2130560Z  2025-08-14T21:37:33.2130645Z   2025-08-14T21:37:33.2130733Z NVCC_FLAGS: 2025-08-14T21:37:33.2130854Z --expt-relaxed-constexpr 2025-08-14T21:37:33.2130994Z -D__CUDA_NO_HALF_OPERATORS__ 2025-08-14T21:37:33.2131482Z -D__CUDA_NO_BFLOAT16_CONVERSIONS__ 2025-08-14T21:37:33.2131621Z -D__CUDA_NO_HALF2_OPERATORS__ 2025-08-14T21:37:33.2131736Z   2025-08-14T21:37:33.2133129Z HIPCC_FLAGS: 2025-08-14T21:37:33.2133240Z  2025-08-14T21:37:33.2133322Z   2025-08-14T21:37:33.2133413Z INCLUDE_DIRS: 2025-08-14T21:37:33.2133572Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:33.2133757Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:33.2133933Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:33.2134126Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:33.2134346Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:33.2134616Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:33.2134887Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src 2025-08-14T21:37:33.2137821Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cpuinfo/include 2025-08-14T21:37:33.2138094Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/include 2025-08-14T21:37:33.2138376Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/tools/util/include 2025-08-14T21:37:33.2138669Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/include 2025-08-14T21:37:33.2138974Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/library/include 2025-08-14T21:37:33.2139261Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/json/include 2025-08-14T21:37:33.2139437Z   2025-08-14T21:37:33.2139551Z Selected Source Files: 2025-08-14T21:37:33.2139721Z codegen/utils/embedding_bounds_check_host_cpu.cpp 2025-08-14T21:37:33.2139933Z codegen/training/forward/embedding_forward_split_cpu.cpp 2025-08-14T21:37:33.2140305Z codegen/training/forward/embedding_forward_split_nobag_cpu.cpp 2025-08-14T21:37:33.2141548Z codegen/training/pt2/pt2_autograd_utils.cpp 2025-08-14T21:37:33.2141724Z codegen/utils/embedding_bounds_check_host.cpp 2025-08-14T21:37:33.2141894Z codegen/utils/embedding_bounds_check_v1.cu 2025-08-14T21:37:33.2142055Z codegen/utils/embedding_bounds_check_v2.cu 2025-08-14T21:37:33.2142185Z   2025-08-14T21:37:33.2142287Z HIPified Source Files: 2025-08-14T21:37:33.2142538Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/utils/embedding_bounds_check_host_cpu_hip.cpp 2025-08-14T21:37:33.2143000Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp 2025-08-14T21:37:33.2143382Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_nobag_cpu_hip.cpp 2025-08-14T21:37:33.2143728Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/pt2/pt2_autograd_utils.cpp 2025-08-14T21:37:33.2144055Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/utils/embedding_bounds_check_host_hip.cpp 2025-08-14T21:37:33.2145306Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/utils/embedding_bounds_check_v1.hip 2025-08-14T21:37:33.2145611Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/utils/embedding_bounds_check_v2.hip 2025-08-14T21:37:33.2145805Z   2025-08-14T21:37:33.2145909Z Library Dependencies: 2025-08-14T21:37:33.2146021Z torch 2025-08-14T21:37:33.2146116Z torch_library 2025-08-14T21:37:33.2146297Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:33.2146468Z fbgemm 2025-08-14T21:37:33.2146569Z fbgemm_gpu_config 2025-08-14T21:37:33.2146671Z   2025-08-14T21:37:33.2146763Z Output Library: 2025-08-14T21:37:33.2147750Z fbgemm_gpu_tbe_common 2025-08-14T21:37:33.2147863Z   2025-08-14T21:37:33.2147962Z Destination Directory: 2025-08-14T21:37:33.2148075Z fbgemm_gpu 2025-08-14T21:37:33.2148272Z ================================================================================ 2025-08-14T21:37:33.2148404Z  2025-08-14T21:37:33.2148551Z -- Writing tmp_xmBskSAKTld0idAo into file - file_tmp_xmBskSAKTld0idAo.txt 2025-08-14T21:37:33.2321030Z  2025-08-14T21:37:33.2321146Z  2025-08-14T21:37:33.2321277Z ================================================================================ 2025-08-14T21:37:33.2321473Z GPU CPP Library Target: fbgemm_gpu_tbe_optimizers (SHARED) 2025-08-14T21:37:33.2323964Z   2025-08-14T21:37:33.2324075Z CPU_SRCS: 2025-08-14T21:37:33.2324173Z  2025-08-14T21:37:33.2324258Z   2025-08-14T21:37:33.2324350Z GPU_SRCS: 2025-08-14T21:37:33.2324652Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_split.cpp 2025-08-14T21:37:33.2325131Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_split_cuda.cu 2025-08-14T21:37:33.2325604Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_split_kernel.cu 2025-08-14T21:37:33.2325872Z   2025-08-14T21:37:33.2325970Z CUDA_SPECIFIC_SRCS: 2025-08-14T21:37:33.2327249Z  2025-08-14T21:37:33.2327348Z   2025-08-14T21:37:33.2327443Z HIP_SPECIFIC_SRCS: 2025-08-14T21:37:33.2327549Z  2025-08-14T21:37:33.2327630Z   2025-08-14T21:37:33.2327716Z OTHER_SRCS: 2025-08-14T21:37:33.2327808Z  2025-08-14T21:37:33.2327890Z   2025-08-14T21:37:33.2327977Z CC_FLAGS: 2025-08-14T21:37:33.2328067Z  2025-08-14T21:37:33.2328148Z   2025-08-14T21:37:33.2329156Z NVCC_FLAGS: 2025-08-14T21:37:33.2329281Z --expt-relaxed-constexpr 2025-08-14T21:37:33.2329551Z -D__CUDA_NO_HALF_OPERATORS__ 2025-08-14T21:37:33.2329699Z -D__CUDA_NO_BFLOAT16_CONVERSIONS__ 2025-08-14T21:37:33.2329839Z -D__CUDA_NO_HALF2_OPERATORS__ 2025-08-14T21:37:33.2329954Z   2025-08-14T21:37:33.2330044Z HIPCC_FLAGS: 2025-08-14T21:37:33.2330141Z  2025-08-14T21:37:33.2330222Z   2025-08-14T21:37:33.2330311Z INCLUDE_DIRS: 2025-08-14T21:37:33.2330462Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:33.2331660Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:33.2331848Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:33.2332042Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:33.2332262Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:33.2332530Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:33.2332892Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src 2025-08-14T21:37:33.2333142Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cpuinfo/include 2025-08-14T21:37:33.2333392Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/include 2025-08-14T21:37:33.2333656Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/tools/util/include 2025-08-14T21:37:33.2333936Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/include 2025-08-14T21:37:33.2334231Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/library/include 2025-08-14T21:37:33.2335401Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/json/include 2025-08-14T21:37:33.2335573Z   2025-08-14T21:37:33.2335673Z Selected Source Files: 2025-08-14T21:37:33.2335969Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_split.cpp 2025-08-14T21:37:33.2336506Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_split_cuda.cu 2025-08-14T21:37:33.2336955Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_split_kernel.cu 2025-08-14T21:37:33.2337217Z   2025-08-14T21:37:33.2337315Z HIPified Source Files: 2025-08-14T21:37:33.2337607Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_split_hip.cpp 2025-08-14T21:37:33.2338048Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_split_hip.hip 2025-08-14T21:37:33.2338497Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_split_kernel.hip 2025-08-14T21:37:33.2339656Z   2025-08-14T21:37:33.2339759Z Library Dependencies: 2025-08-14T21:37:33.2339871Z torch 2025-08-14T21:37:33.2339972Z torch_library 2025-08-14T21:37:33.2340149Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:33.2340313Z   2025-08-14T21:37:33.2340404Z Output Library: 2025-08-14T21:37:33.2340523Z fbgemm_gpu_tbe_optimizers 2025-08-14T21:37:33.2340635Z   2025-08-14T21:37:33.2340732Z Destination Directory: 2025-08-14T21:37:33.2340843Z fbgemm_gpu 2025-08-14T21:37:33.2341843Z ================================================================================ 2025-08-14T21:37:33.2341996Z  2025-08-14T21:37:33.2342241Z -- Writing tmp_59ZV1iyYoeH09jBz into file - file_tmp_59ZV1iyYoeH09jBz.txt 2025-08-14T21:37:33.2697529Z  2025-08-14T21:37:33.2697659Z  2025-08-14T21:37:33.2698273Z ================================================================================ 2025-08-14T21:37:33.2699169Z GPU CPP Library Target: fbgemm_gpu_tbe_training_forward (SHARED) 2025-08-14T21:37:33.2699659Z   2025-08-14T21:37:33.2699930Z CPU_SRCS: 2025-08-14T21:37:33.2706539Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_pt2_cpu_wrapper.cpp 2025-08-14T21:37:33.2706864Z   2025-08-14T21:37:33.2706975Z GPU_SRCS: 2025-08-14T21:37:33.2707276Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_weighted_kernel.cu 2025-08-14T21:37:33.2707724Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_weighted_kernel.cu 2025-08-14T21:37:33.2708161Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_weighted_kernel.cu 2025-08-14T21:37:33.2708615Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_nobag_kernel.cu 2025-08-14T21:37:33.2709082Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_unweighted_nobag_kernel.cu 2025-08-14T21:37:33.2709532Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_unweighted_nobag_kernel.cu 2025-08-14T21:37:33.2709980Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_kernel.cu 2025-08-14T21:37:33.2710426Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_unweighted_kernel.cu 2025-08-14T21:37:33.2710865Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_unweighted_kernel.cu 2025-08-14T21:37:33.2711313Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_weighted_codegen_cuda.cu 2025-08-14T21:37:33.2711876Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_weighted_codegen_meta.cpp 2025-08-14T21:37:33.2712340Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_codegen_cuda.cu 2025-08-14T21:37:33.2712892Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_codegen_meta.cpp 2025-08-14T21:37:33.2713354Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_weighted_codegen_cuda.cu 2025-08-14T21:37:33.2713814Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_weighted_codegen_meta.cpp 2025-08-14T21:37:33.2714272Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_unweighted_codegen_cuda.cu 2025-08-14T21:37:33.2714743Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_unweighted_codegen_meta.cpp 2025-08-14T21:37:33.2715199Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_weighted_codegen_cuda.cu 2025-08-14T21:37:33.2715673Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_weighted_codegen_meta.cpp 2025-08-14T21:37:33.2716128Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_unweighted_codegen_cuda.cu 2025-08-14T21:37:33.2718261Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_unweighted_codegen_meta.cpp 2025-08-14T21:37:33.2718768Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_weighted_vbe_codegen_cuda.cu 2025-08-14T21:37:33.2719297Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_weighted_vbe_codegen_meta.cpp 2025-08-14T21:37:33.2719756Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_weighted_vbe_kernel.cu 2025-08-14T21:37:33.2720195Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_weighted_v2_kernel.cu 2025-08-14T21:37:33.2720643Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_weighted_gwd_codegen_cuda.cu 2025-08-14T21:37:33.2721111Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_weighted_vbe_gwd_codegen_cuda.cu 2025-08-14T21:37:33.2721574Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_weighted_gwd_kernel.cu 2025-08-14T21:37:33.2722025Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_weighted_vbe_codegen_cuda.cu 2025-08-14T21:37:33.2722475Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_weighted_vbe_kernel.cu 2025-08-14T21:37:33.2722996Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_weighted_vbe_gwd_kernel.cu 2025-08-14T21:37:33.2723452Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_weighted_vbe_codegen_cuda.cu 2025-08-14T21:37:33.2723907Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_weighted_vbe_codegen_meta.cpp 2025-08-14T21:37:33.2724405Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_weighted_vbe_kernel.cu 2025-08-14T21:37:33.2724854Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_vbe_codegen_cuda.cu 2025-08-14T21:37:33.2725322Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_vbe_codegen_meta.cpp 2025-08-14T21:37:33.2725779Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_vbe_kernel.cu 2025-08-14T21:37:33.2726222Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_v2_kernel.cu 2025-08-14T21:37:33.2726673Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_gwd_codegen_cuda.cu 2025-08-14T21:37:33.2727152Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_vbe_gwd_codegen_cuda.cu 2025-08-14T21:37:33.2727612Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_gwd_kernel.cu 2025-08-14T21:37:33.2728069Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_unweighted_vbe_codegen_cuda.cu 2025-08-14T21:37:33.2728524Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_unweighted_vbe_kernel.cu 2025-08-14T21:37:33.2728975Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_vbe_gwd_kernel.cu 2025-08-14T21:37:33.2729433Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_unweighted_vbe_codegen_cuda.cu 2025-08-14T21:37:33.2729946Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_unweighted_vbe_codegen_meta.cpp 2025-08-14T21:37:33.2730405Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_unweighted_vbe_kernel.cu 2025-08-14T21:37:33.2730871Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_nobag_kernel_small.cu 2025-08-14T21:37:33.2731437Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_unweighted_nobag_kernel_small.cu 2025-08-14T21:37:33.2731914Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_unweighted_nobag_kernel_small.cu 2025-08-14T21:37:33.2732375Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_pt2_cuda_wrapper.cpp 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/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_weighted_vbe_gwd_codegen_hip.hip 2025-08-14T21:37:33.2790181Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_weighted_gwd_kernel.hip 2025-08-14T21:37:33.2790632Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_weighted_vbe_codegen_hip.hip 2025-08-14T21:37:33.2791082Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_weighted_vbe_kernel.hip 2025-08-14T21:37:33.2791533Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_weighted_vbe_gwd_kernel.hip 2025-08-14T21:37:33.2791992Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_weighted_vbe_codegen_hip.hip 2025-08-14T21:37:33.2793429Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_weighted_vbe_kernel.hip 2025-08-14T21:37:33.2793890Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_vbe_codegen_hip.hip 2025-08-14T21:37:33.2794349Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_vbe_kernel.hip 2025-08-14T21:37:33.2794797Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_v2_kernel.hip 2025-08-14T21:37:33.2795255Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_gwd_codegen_hip.hip 2025-08-14T21:37:33.2795781Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_vbe_gwd_codegen_hip.hip 2025-08-14T21:37:33.2796244Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_gwd_kernel.hip 2025-08-14T21:37:33.2796702Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_unweighted_vbe_codegen_hip.hip 2025-08-14T21:37:33.2797157Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_unweighted_vbe_kernel.hip 2025-08-14T21:37:33.2797614Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_vbe_gwd_kernel.hip 2025-08-14T21:37:33.2798076Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_unweighted_vbe_codegen_hip.hip 2025-08-14T21:37:33.2799466Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_unweighted_vbe_kernel.hip 2025-08-14T21:37:33.2799926Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_nobag_kernel_small.hip 2025-08-14T21:37:33.2800403Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_unweighted_nobag_kernel_small.hip 2025-08-14T21:37:33.2800873Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_unweighted_nobag_kernel_small.hip 2025-08-14T21:37:33.2801144Z   2025-08-14T21:37:33.2801249Z Library Dependencies: 2025-08-14T21:37:33.2801364Z torch 2025-08-14T21:37:33.2801463Z torch_library 2025-08-14T21:37:33.2801646Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:33.2801836Z fbgemm_gpu_tbe_common 2025-08-14T21:37:33.2801992Z   2025-08-14T21:37:33.2803115Z Output Library: 2025-08-14T21:37:33.2803240Z fbgemm_gpu_tbe_training_forward 2025-08-14T21:37:33.2803359Z   2025-08-14T21:37:33.2803459Z Destination Directory: 2025-08-14T21:37:33.2803575Z fbgemm_gpu 2025-08-14T21:37:33.2803710Z ================================================================================ 2025-08-14T21:37:33.2803842Z  2025-08-14T21:37:33.2803983Z -- Writing tmp_HST7dyGJb1IYriF8 into file - file_tmp_HST7dyGJb1IYriF8.txt 2025-08-14T21:37:33.3057060Z  2025-08-14T21:37:33.3057529Z  2025-08-14T21:37:33.3057762Z ================================================================================ 2025-08-14T21:37:33.3058036Z GPU CPP Library Target: fbgemm_gpu_tbe_training_backward_pt2 (SHARED) 2025-08-14T21:37:33.3058221Z   2025-08-14T21:37:33.3058372Z CPU_SRCS: 2025-08-14T21:37:33.3058697Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_adagrad_pt2_autograd.cpp 2025-08-14T21:37:33.3059164Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_rowwise_adagrad_pt2_autograd.cpp 2025-08-14T21:37:33.3059617Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_sgd_pt2_autograd.cpp 2025-08-14T21:37:33.3060042Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_adam_pt2_autograd.cpp 2025-08-14T21:37:33.3060461Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_lamb_pt2_autograd.cpp 2025-08-14T21:37:33.3060897Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_lars_sgd_pt2_autograd.cpp 2025-08-14T21:37:33.3061600Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_partial_rowwise_adam_pt2_autograd.cpp 2025-08-14T21:37:33.3062079Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_partial_rowwise_lamb_pt2_autograd.cpp 2025-08-14T21:37:33.3062530Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_none_pt2_autograd.cpp 2025-08-14T21:37:33.3063210Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_rowwise_adagrad_with_counter_pt2_autograd.cpp 2025-08-14T21:37:33.3063682Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_approx_sgd_pt2_autograd.cpp 2025-08-14T21:37:33.3064148Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_approx_rowwise_adagrad_pt2_autograd.cpp 2025-08-14T21:37:33.3064667Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_approx_rowwise_adagrad_with_counter_pt2_autograd.cpp 2025-08-14T21:37:33.3065200Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_approx_rowwise_adagrad_with_weight_decay_pt2_autograd.cpp 2025-08-14T21:37:33.3065725Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_rowwise_adagrad_with_weight_decay_pt2_autograd.cpp 2025-08-14T21:37:33.3066225Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_rowwise_weighted_adagrad_pt2_autograd.cpp 2025-08-14T21:37:33.3066692Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_ssd_rowwise_adagrad_pt2_autograd.cpp 2025-08-14T21:37:33.3067159Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_adagrad_pt2_cpu_wrapper.cpp 2025-08-14T21:37:33.3067736Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_adagrad_pt2_cpu_wrapper.cpp 2025-08-14T21:37:33.3068215Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_sgd_pt2_cpu_wrapper.cpp 2025-08-14T21:37:33.3068672Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_adam_pt2_cpu_wrapper.cpp 2025-08-14T21:37:33.3069176Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_lamb_pt2_cpu_wrapper.cpp 2025-08-14T21:37:33.3069642Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_lars_sgd_pt2_cpu_wrapper.cpp 2025-08-14T21:37:33.3070136Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_partial_rowwise_adam_pt2_cpu_wrapper.cpp 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/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_rowwise_adagrad_with_counter_pt2_cpu_wrapper.cpp 2025-08-14T21:37:33.3073847Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_rowwise_adagrad_with_weight_decay_pt2_cpu_wrapper.cpp 2025-08-14T21:37:33.3074400Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_adagrad_with_weight_decay_pt2_cpu_wrapper.cpp 2025-08-14T21:37:33.3074925Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_weighted_adagrad_pt2_cpu_wrapper.cpp 2025-08-14T21:37:33.3075225Z   2025-08-14T21:37:33.3075324Z GPU_SRCS: 2025-08-14T21:37:33.3075619Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_adagrad_pt2_cuda_wrapper.cpp 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/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_sgd_pt2_cpu_wrapper.cpp 2025-08-14T21:37:33.3141912Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_rowwise_adagrad_pt2_cpu_wrapper.cpp 2025-08-14T21:37:33.3144762Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_rowwise_adagrad_with_counter_pt2_cpu_wrapper.cpp 2025-08-14T21:37:33.3145321Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_rowwise_adagrad_with_weight_decay_pt2_cpu_wrapper.cpp 2025-08-14T21:37:33.3145876Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_adagrad_with_weight_decay_pt2_cpu_wrapper.cpp 2025-08-14T21:37:33.3146398Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_weighted_adagrad_pt2_cpu_wrapper.cpp 2025-08-14T21:37:33.3146883Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_adagrad_pt2_hip_wrapper.cpp 2025-08-14T21:37:33.3147356Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_adagrad_pt2_hip_wrapper.cpp 2025-08-14T21:37:33.3147819Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_sgd_pt2_hip_wrapper.cpp 2025-08-14T21:37:33.3148265Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_adam_pt2_hip_wrapper.cpp 2025-08-14T21:37:33.3148763Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_lamb_pt2_hip_wrapper.cpp 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/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_sgd_pt2_cuda_wrapper.cpp 2025-08-14T21:37:33.3153181Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_rowwise_adagrad_pt2_cuda_wrapper.cpp 2025-08-14T21:37:33.3153709Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_rowwise_adagrad_with_counter_pt2_cuda_wrapper.cpp 2025-08-14T21:37:33.3154260Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_rowwise_adagrad_with_weight_decay_pt2_cuda_wrapper.cpp 2025-08-14T21:37:33.3154807Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_adagrad_with_weight_decay_pt2_cuda_wrapper.cpp 2025-08-14T21:37:33.3155388Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_weighted_adagrad_pt2_cuda_wrapper.cpp 2025-08-14T21:37:33.3155879Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_ssd_rowwise_adagrad_pt2_hip_wrapper.cpp 2025-08-14T21:37:33.3157064Z   2025-08-14T21:37:33.3157178Z Library Dependencies: 2025-08-14T21:37:33.3157297Z torch 2025-08-14T21:37:33.3157396Z torch_library 2025-08-14T21:37:33.3157584Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:33.3157757Z fbgemm 2025-08-14T21:37:33.3157859Z fbgemm_gpu_config 2025-08-14T21:37:33.3157983Z fbgemm_gpu_tbe_cache 2025-08-14T21:37:33.3158102Z fbgemm_gpu_tbe_common 2025-08-14T21:37:33.3158225Z fbgemm_gpu_tbe_utils 2025-08-14T21:37:33.3158351Z fbgemm_gpu_sparse_async_cumsum 2025-08-14T21:37:33.3159345Z   2025-08-14T21:37:33.3159443Z Output Library: 2025-08-14T21:37:33.3159574Z fbgemm_gpu_tbe_training_backward_pt2 2025-08-14T21:37:33.3159698Z   2025-08-14T21:37:33.3159798Z Destination Directory: 2025-08-14T21:37:33.3159913Z fbgemm_gpu 2025-08-14T21:37:33.3160048Z ================================================================================ 2025-08-14T21:37:33.3160179Z  2025-08-14T21:37:33.3160319Z -- Writing tmp_ubC8T0RF2pT1mkst into file - file_tmp_ubC8T0RF2pT1mkst.txt 2025-08-14T21:37:33.3655177Z  2025-08-14T21:37:33.3655324Z  2025-08-14T21:37:33.3661166Z ================================================================================ 2025-08-14T21:37:33.3661777Z GPU CPP Library Target: fbgemm_gpu_tbe_training_backward (SHARED) 2025-08-14T21:37:33.3662255Z   2025-08-14T21:37:33.3662524Z CPU_SRCS: 2025-08-14T21:37:33.3663444Z codegen/training/backward/embedding_backward_dense_host_cpu.cpp 2025-08-14T21:37:33.3664456Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_cpu.cpp 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/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_kernel_warp.hip 2025-08-14T21:37:33.3889008Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_unweighted_nobag_device_kernel_hip.hip 2025-08-14T21:37:33.3889485Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_weighted_device_kernel_hip.hip 2025-08-14T21:37:33.3889955Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_unweighted_device_kernel_hip.hip 2025-08-14T21:37:33.3890231Z   2025-08-14T21:37:33.3890340Z Library Dependencies: 2025-08-14T21:37:33.3890456Z torch 2025-08-14T21:37:33.3890561Z torch_library 2025-08-14T21:37:33.3890747Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:33.3890917Z fbgemm 2025-08-14T21:37:33.3891999Z fbgemm_gpu_config 2025-08-14T21:37:33.3892128Z fbgemm_gpu_tbe_cache 2025-08-14T21:37:33.3892253Z fbgemm_gpu_tbe_common 2025-08-14T21:37:33.3892373Z fbgemm_gpu_tbe_utils 2025-08-14T21:37:33.3892500Z fbgemm_gpu_sparse_async_cumsum 2025-08-14T21:37:33.3892620Z   2025-08-14T21:37:33.3892760Z Output Library: 2025-08-14T21:37:33.3892882Z fbgemm_gpu_tbe_training_backward 2025-08-14T21:37:33.3893002Z   2025-08-14T21:37:33.3893102Z Destination Directory: 2025-08-14T21:37:33.3893217Z fbgemm_gpu 2025-08-14T21:37:33.3894268Z ================================================================================ 2025-08-14T21:37:33.3894404Z  2025-08-14T21:37:33.3894540Z -- Writing tmp_2JeyCJVpOzGDWlSI into file - file_tmp_2JeyCJVpOzGDWlSI.txt 2025-08-14T21:37:33.3917463Z  2025-08-14T21:37:33.3917568Z  2025-08-14T21:37:33.3917718Z ================================================================================ 2025-08-14T21:37:33.3917954Z GPU CPP Library Target: fbgemm_gpu_tbe_training_backward_gwd (SHARED) 2025-08-14T21:37:33.3918184Z   2025-08-14T21:37:33.3918273Z CPU_SRCS: 2025-08-14T21:37:33.3918367Z  2025-08-14T21:37:33.3919935Z   2025-08-14T21:37:33.3920038Z GPU_SRCS: 2025-08-14T21:37:33.3920360Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_gwd_cuda.cu 2025-08-14T21:37:33.3920875Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_gwd_kernel_cta.cu 2025-08-14T21:37:33.3921379Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_gwd_kernel_warp.cu 2025-08-14T21:37:33.3921880Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_gwd_cuda.cu 2025-08-14T21:37:33.3922397Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_gwd_kernel_cta.cu 2025-08-14T21:37:33.3922973Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_gwd_kernel_warp.cu 2025-08-14T21:37:33.3923477Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_gwd_cuda.cu 2025-08-14T21:37:33.3923979Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_gwd_kernel_cta.cu 2025-08-14T21:37:33.3924497Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_gwd_kernel_warp.cu 2025-08-14T21:37:33.3925067Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_gwd_cuda.cu 2025-08-14T21:37:33.3925575Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_gwd_kernel_cta.cu 2025-08-14T21:37:33.3926094Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_gwd_kernel_warp.cu 2025-08-14T21:37:33.3926390Z   2025-08-14T21:37:33.3927623Z CUDA_SPECIFIC_SRCS: 2025-08-14T21:37:33.3927733Z  2025-08-14T21:37:33.3927828Z   2025-08-14T21:37:33.3927924Z HIP_SPECIFIC_SRCS: 2025-08-14T21:37:33.3928028Z  2025-08-14T21:37:33.3928110Z   2025-08-14T21:37:33.3928198Z OTHER_SRCS: 2025-08-14T21:37:33.3928291Z  2025-08-14T21:37:33.3928378Z   2025-08-14T21:37:33.3928464Z CC_FLAGS: 2025-08-14T21:37:33.3928555Z  2025-08-14T21:37:33.3929568Z   2025-08-14T21:37:33.3929663Z NVCC_FLAGS: 2025-08-14T21:37:33.3929782Z --expt-relaxed-constexpr 2025-08-14T21:37:33.3929916Z -D__CUDA_NO_HALF_OPERATORS__ 2025-08-14T21:37:33.3930058Z -D__CUDA_NO_BFLOAT16_CONVERSIONS__ 2025-08-14T21:37:33.3930221Z -D__CUDA_NO_HALF2_OPERATORS__ 2025-08-14T21:37:33.3930338Z   2025-08-14T21:37:33.3930428Z HIPCC_FLAGS: 2025-08-14T21:37:33.3930527Z  2025-08-14T21:37:33.3930614Z   2025-08-14T21:37:33.3930705Z INCLUDE_DIRS: 2025-08-14T21:37:33.3931959Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:33.3932143Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:33.3932323Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:33.3932525Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:33.3932807Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:33.3933132Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:33.3933400Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src 2025-08-14T21:37:33.3933646Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cpuinfo/include 2025-08-14T21:37:33.3933894Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/include 2025-08-14T21:37:33.3934160Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/tools/util/include 2025-08-14T21:37:33.3934441Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/include 2025-08-14T21:37:33.3935724Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/library/include 2025-08-14T21:37:33.3935999Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/json/include 2025-08-14T21:37:33.3936170Z   2025-08-14T21:37:33.3936272Z Selected Source Files: 2025-08-14T21:37:33.3936596Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_gwd_cuda.cu 2025-08-14T21:37:33.3937093Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_gwd_kernel_cta.cu 2025-08-14T21:37:33.3937600Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_gwd_kernel_warp.cu 2025-08-14T21:37:33.3938096Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_gwd_cuda.cu 2025-08-14T21:37:33.3938596Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_gwd_kernel_cta.cu 2025-08-14T21:37:33.3939162Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_gwd_kernel_warp.cu 2025-08-14T21:37:33.3940608Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_gwd_cuda.cu 2025-08-14T21:37:33.3941124Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_gwd_kernel_cta.cu 2025-08-14T21:37:33.3941634Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_gwd_kernel_warp.cu 2025-08-14T21:37:33.3942139Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_gwd_cuda.cu 2025-08-14T21:37:33.3942648Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_gwd_kernel_cta.cu 2025-08-14T21:37:33.3943229Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_gwd_kernel_warp.cu 2025-08-14T21:37:33.3943522Z   2025-08-14T21:37:33.3943622Z HIPified Source Files: 2025-08-14T21:37:33.3943939Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_gwd_hip.hip 2025-08-14T21:37:33.3944433Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_gwd_kernel_cta.hip 2025-08-14T21:37:33.3944936Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_gwd_kernel_warp.hip 2025-08-14T21:37:33.3946421Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_gwd_hip.hip 2025-08-14T21:37:33.3946928Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_gwd_kernel_cta.hip 2025-08-14T21:37:33.3947437Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_gwd_kernel_warp.hip 2025-08-14T21:37:33.3947938Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_gwd_hip.hip 2025-08-14T21:37:33.3948439Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_gwd_kernel_cta.hip 2025-08-14T21:37:33.3948951Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_gwd_kernel_warp.hip 2025-08-14T21:37:33.3949465Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_gwd_hip.hip 2025-08-14T21:37:33.3949976Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_gwd_kernel_cta.hip 2025-08-14T21:37:33.3950496Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_gwd_kernel_warp.hip 2025-08-14T21:37:33.3950791Z   2025-08-14T21:37:33.3950890Z Library Dependencies: 2025-08-14T21:37:33.3951945Z torch 2025-08-14T21:37:33.3952044Z torch_library 2025-08-14T21:37:33.3952227Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:33.3952462Z fbgemm_gpu_tbe_training_backward 2025-08-14T21:37:33.3952582Z   2025-08-14T21:37:33.3952680Z Output Library: 2025-08-14T21:37:33.3952868Z fbgemm_gpu_tbe_training_backward_gwd 2025-08-14T21:37:33.3952989Z   2025-08-14T21:37:33.3953087Z Destination Directory: 2025-08-14T21:37:33.3953201Z fbgemm_gpu 2025-08-14T21:37:33.3953336Z ================================================================================ 2025-08-14T21:37:33.3953468Z  2025-08-14T21:37:33.3954604Z -- Writing tmp_HvUaf9Nypl7PApGR into file - file_tmp_HvUaf9Nypl7PApGR.txt 2025-08-14T21:37:33.4279693Z  2025-08-14T21:37:33.4279971Z  2025-08-14T21:37:33.4280370Z ================================================================================ 2025-08-14T21:37:33.4280978Z GPU CPP Library Target: fbgemm_gpu_tbe_training_backward_vbe (SHARED) 2025-08-14T21:37:33.4281478Z   2025-08-14T21:37:33.4281738Z CPU_SRCS: 2025-08-14T21:37:33.4282021Z  2025-08-14T21:37:33.4282252Z   2025-08-14T21:37:33.4287100Z GPU_SRCS: 2025-08-14T21:37:33.4287490Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_meta.cpp 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/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_weighted_vbe_kernel_cta.hip 2025-08-14T21:37:33.4338157Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_weighted_vbe_kernel_warp.hip 2025-08-14T21:37:33.4338388Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_unweighted_vbe_hip.hip 2025-08-14T21:37:33.4338629Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_unweighted_vbe_kernel_cta.hip 2025-08-14T21:37:33.4338872Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_unweighted_vbe_kernel_warp.hip 2025-08-14T21:37:33.4338914Z   2025-08-14T21:37:33.4338971Z Library Dependencies: 2025-08-14T21:37:33.4339017Z torch 2025-08-14T21:37:33.4339067Z torch_library 2025-08-14T21:37:33.4339243Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:33.4339309Z fbgemm_gpu_tbe_training_backward 2025-08-14T21:37:33.4339350Z   2025-08-14T21:37:33.4339402Z Output Library: 2025-08-14T21:37:33.4339469Z fbgemm_gpu_tbe_training_backward_vbe 2025-08-14T21:37:33.4339511Z   2025-08-14T21:37:33.4339567Z Destination Directory: 2025-08-14T21:37:33.4339614Z fbgemm_gpu 2025-08-14T21:37:33.4339697Z ================================================================================ 2025-08-14T21:37:33.4339738Z  2025-08-14T21:37:33.4340680Z -- Writing tmp_MJPSbcX5GmIyLpFb into file - file_tmp_MJPSbcX5GmIyLpFb.txt 2025-08-14T21:37:33.4517565Z  2025-08-14T21:37:33.4517717Z  2025-08-14T21:37:33.4518011Z ================================================================================ 2025-08-14T21:37:33.4518387Z GPU CPP Library Target: fbgemm_gpu_tbe_training_backward_dense (SHARED) 2025-08-14T21:37:33.4518518Z   2025-08-14T21:37:33.4518655Z CPU_SRCS: 2025-08-14T21:37:33.4518770Z  2025-08-14T21:37:33.4518912Z   2025-08-14T21:37:33.4519045Z GPU_SRCS: 2025-08-14T21:37:33.4519735Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_cuda.cu 2025-08-14T21:37:33.4520379Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_meta.cpp 2025-08-14T21:37:33.4521040Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_kernel_cta.cu 2025-08-14T21:37:33.4521702Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_kernel_warp.cu 2025-08-14T21:37:33.4522519Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_nobag_cuda.cu 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/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_kernel_cta.cu 2025-08-14T21:37:33.4528579Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_kernel_warp.cu 2025-08-14T21:37:33.4528792Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_dense.cpp 2025-08-14T21:37:33.4528844Z   2025-08-14T21:37:33.4528905Z CUDA_SPECIFIC_SRCS: 2025-08-14T21:37:33.4528948Z  2025-08-14T21:37:33.4528988Z   2025-08-14T21:37:33.4529046Z HIP_SPECIFIC_SRCS: 2025-08-14T21:37:33.4529086Z  2025-08-14T21:37:33.4529135Z   2025-08-14T21:37:33.4529181Z OTHER_SRCS: 2025-08-14T21:37:33.4529223Z  2025-08-14T21:37:33.4529263Z   2025-08-14T21:37:33.4529315Z CC_FLAGS: 2025-08-14T21:37:33.4529356Z  2025-08-14T21:37:33.4529396Z   2025-08-14T21:37:33.4529501Z NVCC_FLAGS: 2025-08-14T21:37:33.4529565Z --expt-relaxed-constexpr 2025-08-14T21:37:33.4529627Z -D__CUDA_NO_HALF_OPERATORS__ 2025-08-14T21:37:33.4529695Z -D__CUDA_NO_BFLOAT16_CONVERSIONS__ 2025-08-14T21:37:33.4529758Z -D__CUDA_NO_HALF2_OPERATORS__ 2025-08-14T21:37:33.4529799Z   2025-08-14T21:37:33.4529849Z HIPCC_FLAGS: 2025-08-14T21:37:33.4529889Z  2025-08-14T21:37:33.4529930Z   2025-08-14T21:37:33.4529981Z INCLUDE_DIRS: 2025-08-14T21:37:33.4530082Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:33.4530182Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:33.4530271Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:33.4530365Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:33.4530487Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:33.4530647Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:33.4530761Z 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/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_nobag_meta.cpp 2025-08-14T21:37:33.4533816Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_meta.cpp 2025-08-14T21:37:33.4534021Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_dense.cpp 2025-08-14T21:37:33.4534254Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_cuda.cu 2025-08-14T21:37:33.4534489Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_kernel_cta.cu 2025-08-14T21:37:33.4534734Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_kernel_warp.cu 2025-08-14T21:37:33.4534969Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_nobag_cuda.cu 2025-08-14T21:37:33.4535216Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_nobag_kernel_cta.cu 2025-08-14T21:37:33.4535462Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_nobag_kernel_warp.cu 2025-08-14T21:37:33.4535690Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_cuda.cu 2025-08-14T21:37:33.4535925Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_kernel_cta.cu 2025-08-14T21:37:33.4536205Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_kernel_warp.cu 2025-08-14T21:37:33.4536247Z   2025-08-14T21:37:33.4536305Z HIPified Source Files: 2025-08-14T21:37:33.4536537Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_meta_hip.cpp 2025-08-14T21:37:33.4536781Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_nobag_meta_hip.cpp 2025-08-14T21:37:33.4537998Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_meta_hip.cpp 2025-08-14T21:37:33.4538217Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_dense_hip.cpp 2025-08-14T21:37:33.4538450Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_hip.hip 2025-08-14T21:37:33.4538685Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_kernel_cta.hip 2025-08-14T21:37:33.4538920Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_kernel_warp.hip 2025-08-14T21:37:33.4539156Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_nobag_hip.hip 2025-08-14T21:37:33.4539403Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_nobag_kernel_cta.hip 2025-08-14T21:37:33.4539652Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_nobag_kernel_warp.hip 2025-08-14T21:37:33.4539922Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_hip.hip 2025-08-14T21:37:33.4540159Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_kernel_cta.hip 2025-08-14T21:37:33.4540400Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_kernel_warp.hip 2025-08-14T21:37:33.4540441Z   2025-08-14T21:37:33.4540500Z Library Dependencies: 2025-08-14T21:37:33.4540544Z torch 2025-08-14T21:37:33.4540593Z torch_library 2025-08-14T21:37:33.4540718Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:33.4540782Z fbgemm_gpu_tbe_training_backward 2025-08-14T21:37:33.4540826Z   2025-08-14T21:37:33.4540876Z Output Library: 2025-08-14T21:37:33.4540949Z fbgemm_gpu_tbe_training_backward_dense 2025-08-14T21:37:33.4540990Z   2025-08-14T21:37:33.4541955Z Destination Directory: 2025-08-14T21:37:33.4542007Z fbgemm_gpu 2025-08-14T21:37:33.4542091Z ================================================================================ 2025-08-14T21:37:33.4542133Z  2025-08-14T21:37:33.4542229Z -- Writing tmp_YpOLpbNzJV2k6UXC into file - file_tmp_YpOLpbNzJV2k6UXC.txt 2025-08-14T21:37:33.4846531Z  2025-08-14T21:37:33.4847793Z  2025-08-14T21:37:33.4847981Z ================================================================================ 2025-08-14T21:37:33.4848149Z GPU CPP Library Target: fbgemm_gpu_tbe_training_backward_split_host (SHARED) 2025-08-14T21:37:33.4848199Z   2025-08-14T21:37:33.4848255Z CPU_SRCS: 2025-08-14T21:37:33.4848355Z  2025-08-14T21:37:33.4848406Z   2025-08-14T21:37:33.4848458Z GPU_SRCS: 2025-08-14T21:37:33.4848970Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_adagrad.cpp 2025-08-14T21:37:33.4849218Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_adagrad.cpp 2025-08-14T21:37:33.4849432Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_sgd.cpp 2025-08-14T21:37:33.4849663Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_adam.cpp 2025-08-14T21:37:33.4849876Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_lamb.cpp 2025-08-14T21:37:33.4855062Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_lars_sgd.cpp 2025-08-14T21:37:33.4855375Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_partial_rowwise_adam.cpp 2025-08-14T21:37:33.4855610Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_partial_rowwise_lamb.cpp 2025-08-14T21:37:33.4855823Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_none.cpp 2025-08-14T21:37:33.4856073Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_adagrad_with_counter.cpp 2025-08-14T21:37:33.4856291Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_sgd.cpp 2025-08-14T21:37:33.4856525Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_rowwise_adagrad.cpp 2025-08-14T21:37:33.4856939Z 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/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_weighted_meta.cpp 2025-08-14T21:37:33.4858371Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_unweighted_meta.cpp 2025-08-14T21:37:33.4858617Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_meta.cpp 2025-08-14T21:37:33.4858863Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_meta.cpp 2025-08-14T21:37:33.4859084Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_weighted_meta.cpp 2025-08-14T21:37:33.4859308Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_unweighted_meta.cpp 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/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_split_unweighted_meta_hip.cpp 2025-08-14T21:37:33.4888478Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_lamb_split_weighted_meta_hip.cpp 2025-08-14T21:37:33.4888744Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_lamb_split_unweighted_meta_hip.cpp 2025-08-14T21:37:33.4888985Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_none_split_weighted_meta_hip.cpp 2025-08-14T21:37:33.4889220Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_none_split_unweighted_meta_hip.cpp 2025-08-14T21:37:33.4889489Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_with_counter_split_weighted_meta_hip.cpp 2025-08-14T21:37:33.4889760Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_meta_hip.cpp 2025-08-14T21:37:33.4889803Z   2025-08-14T21:37:33.4889864Z Library Dependencies: 2025-08-14T21:37:33.4889910Z torch 2025-08-14T21:37:33.4889959Z torch_library 2025-08-14T21:37:33.4890134Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:33.4890189Z fbgemm_gpu_config 2025-08-14T21:37:33.4890251Z fbgemm_gpu_tbe_utils 2025-08-14T21:37:33.4890293Z   2025-08-14T21:37:33.4890343Z Output Library: 2025-08-14T21:37:33.4890424Z fbgemm_gpu_tbe_training_backward_split_host 2025-08-14T21:37:33.4890465Z   2025-08-14T21:37:33.4890522Z Destination Directory: 2025-08-14T21:37:33.4890569Z fbgemm_gpu 2025-08-14T21:37:33.4890653Z ================================================================================ 2025-08-14T21:37:33.4890694Z  2025-08-14T21:37:33.4890792Z -- Writing tmp_dxbPHoYxIrQhdrFL into file - file_tmp_dxbPHoYxIrQhdrFL.txt 2025-08-14T21:37:33.5096627Z  2025-08-14T21:37:33.5097089Z  2025-08-14T21:37:33.5097224Z ================================================================================ 2025-08-14T21:37:33.5097377Z GPU CPP Library Target: fbgemm_gpu_tbe_index_select (SHARED) 2025-08-14T21:37:33.5097447Z   2025-08-14T21:37:33.5097598Z CPU_SRCS: 2025-08-14T21:37:33.5097776Z codegen/training/index_select/batch_index_select_dim0_cpu_host.cpp 2025-08-14T21:37:33.5097907Z codegen/training/index_select/batch_index_select_dim0_ops.cpp 2025-08-14T21:37:33.5097958Z   2025-08-14T21:37:33.5098015Z GPU_SRCS: 2025-08-14T21:37:33.5098132Z codegen/training/index_select/batch_index_select_dim0_host.cpp 2025-08-14T21:37:33.5098431Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_forward_codegen_cuda.cu 2025-08-14T21:37:33.5098664Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_forward_kernel.cu 2025-08-14T21:37:33.5098915Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_forward_kernel_small.cu 2025-08-14T21:37:33.5099301Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_backward_codegen_cuda.cu 2025-08-14T21:37:33.5099544Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_backward_kernel_cta.cu 2025-08-14T21:37:33.5099784Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_backward_kernel_warp.cu 2025-08-14T21:37:33.5100021Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_grad_index_select.cu 2025-08-14T21:37:33.5102830Z   2025-08-14T21:37:33.5102915Z CUDA_SPECIFIC_SRCS: 2025-08-14T21:37:33.5102968Z  2025-08-14T21:37:33.5103014Z   2025-08-14T21:37:33.5103072Z HIP_SPECIFIC_SRCS: 2025-08-14T21:37:33.5103116Z  2025-08-14T21:37:33.5103159Z   2025-08-14T21:37:33.5103217Z OTHER_SRCS: 2025-08-14T21:37:33.5103258Z  2025-08-14T21:37:33.5103308Z   2025-08-14T21:37:33.5103363Z CC_FLAGS: 2025-08-14T21:37:33.5103404Z  2025-08-14T21:37:33.5103444Z   2025-08-14T21:37:33.5103491Z NVCC_FLAGS: 2025-08-14T21:37:33.5103563Z --expt-relaxed-constexpr 2025-08-14T21:37:33.5103625Z -D__CUDA_NO_HALF_OPERATORS__ 2025-08-14T21:37:33.5103699Z -D__CUDA_NO_BFLOAT16_CONVERSIONS__ 2025-08-14T21:37:33.5103763Z -D__CUDA_NO_HALF2_OPERATORS__ 2025-08-14T21:37:33.5103804Z   2025-08-14T21:37:33.5103853Z HIPCC_FLAGS: 2025-08-14T21:37:33.5103894Z  2025-08-14T21:37:33.5103937Z   2025-08-14T21:37:33.5103989Z INCLUDE_DIRS: 2025-08-14T21:37:33.5104101Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:33.5104184Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:33.5104283Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:33.5104488Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:33.5104619Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:33.5104780Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:33.5104909Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src 2025-08-14T21:37:33.5105036Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cpuinfo/include 2025-08-14T21:37:33.5105167Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/include 2025-08-14T21:37:33.5106513Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/tools/util/include 2025-08-14T21:37:33.5106660Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/include 2025-08-14T21:37:33.5106811Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/library/include 2025-08-14T21:37:33.5106931Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/json/include 2025-08-14T21:37:33.5106973Z   2025-08-14T21:37:33.5107032Z Selected Source Files: 2025-08-14T21:37:33.5107146Z codegen/training/index_select/batch_index_select_dim0_cpu_host.cpp 2025-08-14T21:37:33.5107251Z codegen/training/index_select/batch_index_select_dim0_ops.cpp 2025-08-14T21:37:33.5107357Z codegen/training/index_select/batch_index_select_dim0_host.cpp 2025-08-14T21:37:33.5107586Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_forward_codegen_cuda.cu 2025-08-14T21:37:33.5107803Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_forward_kernel.cu 2025-08-14T21:37:33.5108025Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_forward_kernel_small.cu 2025-08-14T21:37:33.5108251Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_backward_codegen_cuda.cu 2025-08-14T21:37:33.5108520Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_backward_kernel_cta.cu 2025-08-14T21:37:33.5108742Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_backward_kernel_warp.cu 2025-08-14T21:37:33.5108961Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_grad_index_select.cu 2025-08-14T21:37:33.5109002Z   2025-08-14T21:37:33.5109058Z HIPified Source Files: 2025-08-14T21:37:33.5109260Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/index_select/batch_index_select_dim0_cpu_host_hip.cpp 2025-08-14T21:37:33.5109453Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/index_select/batch_index_select_dim0_ops_hip.cpp 2025-08-14T21:37:33.5109641Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/index_select/batch_index_select_dim0_host.cpp 2025-08-14T21:37:33.5110811Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_forward_codegen_hip.hip 2025-08-14T21:37:33.5111033Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_forward_kernel.hip 2025-08-14T21:37:33.5111258Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_forward_kernel_small.hip 2025-08-14T21:37:33.5111481Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_backward_codegen_hip.hip 2025-08-14T21:37:33.5111703Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_backward_kernel_cta.hip 2025-08-14T21:37:33.5111969Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_backward_kernel_warp.hip 2025-08-14T21:37:33.5112189Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_grad_index_select.hip 2025-08-14T21:37:33.5112230Z   2025-08-14T21:37:33.5112285Z Library Dependencies: 2025-08-14T21:37:33.5112328Z torch 2025-08-14T21:37:33.5112377Z torch_library 2025-08-14T21:37:33.5112501Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:33.5112562Z fbgemm_gpu_sparse_async_cumsum 2025-08-14T21:37:33.5112623Z fbgemm_gpu_tbe_utils 2025-08-14T21:37:33.5112662Z   2025-08-14T21:37:33.5112836Z Output Library: 2025-08-14T21:37:33.5112894Z fbgemm_gpu_tbe_index_select 2025-08-14T21:37:33.5112934Z   2025-08-14T21:37:33.5112988Z Destination Directory: 2025-08-14T21:37:33.5113036Z fbgemm_gpu 2025-08-14T21:37:33.5113121Z ================================================================================ 2025-08-14T21:37:33.5113161Z  2025-08-14T21:37:33.5114178Z -- Writing tmp_fdWvAjHjeOI9tlXk into file - file_tmp_fdWvAjHjeOI9tlXk.txt 2025-08-14T21:37:33.5295094Z  2025-08-14T21:37:33.5295248Z  2025-08-14T21:37:33.5295527Z ================================================================================ 2025-08-14T21:37:33.5295885Z GPU CPP Library Target: fbgemm_gpu_embedding_inplace_ops (SHARED) 2025-08-14T21:37:33.5296011Z   2025-08-14T21:37:33.5296142Z CPU_SRCS: 2025-08-14T21:37:33.5296441Z src/embedding_inplace_ops/embedding_inplace_update_cpu.cpp 2025-08-14T21:37:33.5296556Z   2025-08-14T21:37:33.5296681Z GPU_SRCS: 2025-08-14T21:37:33.5296968Z src/embedding_inplace_ops/embedding_inplace_update_gpu.cpp 2025-08-14T21:37:33.5297237Z src/embedding_inplace_ops/embedding_inplace_update.cu 2025-08-14T21:37:33.5297412Z   2025-08-14T21:37:33.5297563Z CUDA_SPECIFIC_SRCS: 2025-08-14T21:37:33.5297845Z  2025-08-14T21:37:33.5297957Z   2025-08-14T21:37:33.5298104Z HIP_SPECIFIC_SRCS: 2025-08-14T21:37:33.5298217Z  2025-08-14T21:37:33.5298328Z   2025-08-14T21:37:33.5298454Z OTHER_SRCS: 2025-08-14T21:37:33.5303194Z  2025-08-14T21:37:33.5303334Z   2025-08-14T21:37:33.5303466Z CC_FLAGS: 2025-08-14T21:37:33.5303586Z  2025-08-14T21:37:33.5303698Z   2025-08-14T21:37:33.5303825Z NVCC_FLAGS: 2025-08-14T21:37:33.5304007Z --expt-relaxed-constexpr 2025-08-14T21:37:33.5304176Z -D__CUDA_NO_HALF_OPERATORS__ 2025-08-14T21:37:33.5304367Z -D__CUDA_NO_BFLOAT16_CONVERSIONS__ 2025-08-14T21:37:33.5304536Z -D__CUDA_NO_HALF2_OPERATORS__ 2025-08-14T21:37:33.5304646Z   2025-08-14T21:37:33.5304782Z HIPCC_FLAGS: 2025-08-14T21:37:33.5304897Z  2025-08-14T21:37:33.5305005Z   2025-08-14T21:37:33.5305164Z INCLUDE_DIRS: 2025-08-14T21:37:33.5305455Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:33.5305667Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:33.5305915Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:33.5306170Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:33.5306501Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:33.5306940Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:33.5309296Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src 2025-08-14T21:37:33.5309432Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cpuinfo/include 2025-08-14T21:37:33.5309551Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/include 2025-08-14T21:37:33.5309760Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/tools/util/include 2025-08-14T21:37:33.5309897Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/include 2025-08-14T21:37:33.5310049Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/library/include 2025-08-14T21:37:33.5310164Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/json/include 2025-08-14T21:37:33.5310206Z   2025-08-14T21:37:33.5310263Z Selected Source Files: 2025-08-14T21:37:33.5310368Z src/embedding_inplace_ops/embedding_inplace_update_cpu.cpp 2025-08-14T21:37:33.5310468Z src/embedding_inplace_ops/embedding_inplace_update_gpu.cpp 2025-08-14T21:37:33.5310560Z src/embedding_inplace_ops/embedding_inplace_update.cu 2025-08-14T21:37:33.5310600Z   2025-08-14T21:37:33.5310655Z HIPified Source Files: 2025-08-14T21:37:33.5310843Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/embedding_inplace_ops/embedding_inplace_update_cpu.cpp 2025-08-14T21:37:33.5311033Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/embedding_inplace_ops/embedding_inplace_update_gpu_hip.cpp 2025-08-14T21:37:33.5311205Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/embedding_inplace_ops/embedding_inplace_update.hip 2025-08-14T21:37:33.5311245Z   2025-08-14T21:37:33.5311304Z Library Dependencies: 2025-08-14T21:37:33.5311350Z torch 2025-08-14T21:37:33.5311400Z torch_library 2025-08-14T21:37:33.5311522Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:33.5312546Z   2025-08-14T21:37:33.5312603Z Output Library: 2025-08-14T21:37:33.5312668Z fbgemm_gpu_embedding_inplace_ops 2025-08-14T21:37:33.5312806Z   2025-08-14T21:37:33.5312861Z Destination Directory: 2025-08-14T21:37:33.5312908Z fbgemm_gpu 2025-08-14T21:37:33.5312990Z ================================================================================ 2025-08-14T21:37:33.5313034Z  2025-08-14T21:37:33.5313207Z -- Writing tmp_Do1kjvDNmerDyKxz into file - file_tmp_Do1kjvDNmerDyKxz.txt 2025-08-14T21:37:33.5765601Z  2025-08-14T21:37:33.5765670Z  2025-08-14T21:37:33.5765797Z ================================================================================ 2025-08-14T21:37:33.5765971Z GPU CPP Library Target: fbgemm_gpu_py (SHARED) 2025-08-14T21:37:33.5767504Z   2025-08-14T21:37:33.5767683Z CPU_SRCS: 2025-08-14T21:37:33.5767967Z src/memory_utils/memory_utils.cpp 2025-08-14T21:37:33.5768179Z src/memory_utils/memory_utils_ops.cpp 2025-08-14T21:37:33.5768536Z src/merge_pooled_embedding_ops/merge_pooled_embedding_ops_cpu.cpp 2025-08-14T21:37:33.5768866Z src/permute_multi_embedding_ops/permute_multi_embedding_function.cpp 2025-08-14T21:37:33.5777426Z src/permute_multi_embedding_ops/permute_multi_embedding_ops_cpu.cpp 2025-08-14T21:37:33.5777626Z src/permute_pooled_embedding_ops/permute_pooled_embedding_function.cpp 2025-08-14T21:37:33.5777857Z src/permute_pooled_embedding_ops/permute_pooled_embedding_ops_cpu.cpp 2025-08-14T21:37:33.5778026Z src/permute_pooled_embedding_ops/permute_pooled_embedding_ops_split_cpu.cpp 2025-08-14T21:37:33.5778198Z src/jagged_tensor_ops/jagged_tensor_ops_autograd.cpp 2025-08-14T21:37:33.5778315Z src/jagged_tensor_ops/jagged_tensor_ops_meta.cpp 2025-08-14T21:37:33.5778435Z src/jagged_tensor_ops/jagged_tensor_ops_cpu.cpp 2025-08-14T21:37:33.5778536Z src/input_combine_ops/input_combine_cpu.cpp 2025-08-14T21:37:33.5778657Z src/layout_transform_ops/layout_transform_ops_cpu.cpp 2025-08-14T21:37:33.5778755Z src/quantize_ops/quantize_ops_cpu.cpp 2025-08-14T21:37:33.5778848Z src/quantize_ops/quantize_ops_meta.cpp 2025-08-14T21:37:33.5778958Z src/sparse_ops/sparse_async_batched_cumsum.cpp 2025-08-14T21:37:33.5779039Z src/sparse_ops/sparse_ops_cpu.cpp 2025-08-14T21:37:33.5779406Z src/sparse_ops/sparse_ops_meta.cpp 2025-08-14T21:37:33.5779488Z src/tbe/eeg/eeg_models.cpp 2025-08-14T21:37:33.5779567Z src/tbe/eeg/eeg_utils.cpp 2025-08-14T21:37:33.5779653Z src/tbe/eeg/indices_estimator_ops.cpp 2025-08-14T21:37:33.5779738Z src/tbe/eeg/indices_estimator.cpp 2025-08-14T21:37:33.5779824Z src/tbe/eeg/indices_generator_ops.cpp 2025-08-14T21:37:33.5779911Z src/tbe/eeg/indices_generator.cpp 2025-08-14T21:37:33.5782481Z src/intraining_embedding_pruning_ops/intraining_embedding_pruning_gpu.cpp 2025-08-14T21:37:33.5782650Z src/layout_transform_ops/layout_transform_ops_gpu.cpp 2025-08-14T21:37:33.5782948Z src/permute_pooled_embedding_ops/permute_pooled_embedding_ops_gpu.cpp 2025-08-14T21:37:33.5783110Z src/permute_pooled_embedding_ops/permute_pooled_embedding_ops_split_gpu.cpp 2025-08-14T21:37:33.5783198Z src/quantize_ops/quantize_ops_gpu.cpp 2025-08-14T21:37:33.5783287Z src/sparse_ops/sparse_ops_gpu.cpp 2025-08-14T21:37:33.5783370Z src/metric_ops/metric_ops_host.cpp 2025-08-14T21:37:33.5783470Z src/input_combine_ops/input_combine_gpu.cpp 2025-08-14T21:37:33.5783617Z src/merge_pooled_embedding_ops/merge_pooled_embedding_ops_gpu.cpp 2025-08-14T21:37:33.5783693Z src/topology_utils.cpp 2025-08-14T21:37:33.5783749Z   2025-08-14T21:37:33.5783810Z GPU_SRCS: 2025-08-14T21:37:33.5783904Z src/histogram_binning_calibration_ops.cu 2025-08-14T21:37:33.5783994Z src/input_combine_ops/input_combine.cu 2025-08-14T21:37:33.5784148Z src/intraining_embedding_pruning_ops/intraining_embedding_pruning.cu 2025-08-14T21:37:33.5784226Z src/memory_utils/memory_utils.cu 2025-08-14T21:37:33.5784311Z src/memory_utils/memory_utils_ops.cu 2025-08-14T21:37:33.5784461Z src/jagged_tensor_ops/batched_dense_vec_jagged_2d_mul_backward.cu 2025-08-14T21:37:33.5784599Z src/jagged_tensor_ops/batched_dense_vec_jagged_2d_mul_forward.cu 2025-08-14T21:37:33.5784715Z src/jagged_tensor_ops/dense_to_jagged_forward.cu 2025-08-14T21:37:33.5784970Z src/jagged_tensor_ops/jagged_dense_bmm_forward.cu 2025-08-14T21:37:33.5785155Z src/jagged_tensor_ops/jagged_dense_dense_elementwise_add_jagged_output_forward.cu 2025-08-14T21:37:33.5785292Z src/jagged_tensor_ops/jagged_dense_elementwise_mul_backward.cu 2025-08-14T21:37:33.5785430Z src/jagged_tensor_ops/jagged_dense_elementwise_mul_forward.cu 2025-08-14T21:37:33.5785547Z src/jagged_tensor_ops/jagged_index_add_2d_forward.cu 2025-08-14T21:37:33.5785708Z src/jagged_tensor_ops/jagged_index_select_2d_forward.cu 2025-08-14T21:37:33.5785823Z src/jagged_tensor_ops/jagged_jagged_bmm_forward.cu 2025-08-14T21:37:33.5785930Z src/jagged_tensor_ops/jagged_softmax_backward.cu 2025-08-14T21:37:33.5786042Z src/jagged_tensor_ops/jagged_softmax_forward.cu 2025-08-14T21:37:33.5786139Z src/jagged_tensor_ops/jagged_tensor_ops.cu 2025-08-14T21:37:33.5786273Z src/jagged_tensor_ops/jagged_to_padded_dense_backward.cu 2025-08-14T21:37:33.5786399Z src/jagged_tensor_ops/jagged_to_padded_dense_forward.cu 2025-08-14T21:37:33.5786509Z src/jagged_tensor_ops/jagged_unique_indices.cu 2025-08-14T21:37:33.5786632Z src/jagged_tensor_ops/keyed_jagged_index_select_dim1.cu 2025-08-14T21:37:33.5786743Z src/layout_transform_ops/layout_transform_ops.cu 2025-08-14T21:37:33.5786825Z src/metric_ops/metric_ops.cu 2025-08-14T21:37:33.5786986Z src/permute_pooled_embedding_ops/permute_pooled_embedding_ops_split.cu 2025-08-14T21:37:33.5787130Z src/permute_pooled_embedding_ops/permute_pooled_embedding_ops.cu 2025-08-14T21:37:33.5787269Z src/permute_multi_embedding_ops/permute_multi_embedding_ops.cu 2025-08-14T21:37:33.5787365Z src/quantize_ops/quantize_bfloat16.cu 2025-08-14T21:37:33.5787461Z src/quantize_ops/quantize_fp8_rowwise.cu 2025-08-14T21:37:33.5787633Z src/quantize_ops/quantize_fused_8bit_rowwise.cu 2025-08-14T21:37:33.5787737Z src/quantize_ops/quantize_fused_nbit_rowwise.cu 2025-08-14T21:37:33.5787821Z src/quantize_ops/quantize_hfp8.cu 2025-08-14T21:37:33.5787890Z src/quantize_ops/quantize_msfp.cu 2025-08-14T21:37:33.5787982Z src/quantize_ops/quantize_padded_fp8_rowwise.cu 2025-08-14T21:37:33.5788048Z src/quantize_ops/quantize_mx.cu 2025-08-14T21:37:33.5788140Z src/sparse_ops/sparse_async_batched_cumsum.cu 2025-08-14T21:37:33.5788232Z src/sparse_ops/sparse_block_bucketize_features.cu 2025-08-14T21:37:33.5788317Z src/sparse_ops/sparse_bucketize_features.cu 2025-08-14T21:37:33.5788405Z src/sparse_ops/sparse_batched_unary_embeddings.cu 2025-08-14T21:37:33.5788501Z src/sparse_ops/sparse_compute_frequency_sequence.cu 2025-08-14T21:37:33.5788593Z src/sparse_ops/sparse_expand_into_jagged_permute.cu 2025-08-14T21:37:33.5790705Z src/sparse_ops/sparse_group_index.cu 2025-08-14T21:37:33.5790792Z src/sparse_ops/sparse_index_add.cu 2025-08-14T21:37:33.5790872Z src/sparse_ops/sparse_index_select.cu 2025-08-14T21:37:33.5790946Z src/sparse_ops/sparse_invert_permute.cu 2025-08-14T21:37:33.5791030Z src/sparse_ops/sparse_pack_segments_backward.cu 2025-08-14T21:37:33.5791113Z src/sparse_ops/sparse_pack_segments_forward.cu 2025-08-14T21:37:33.5791180Z src/sparse_ops/sparse_permute_1d.cu 2025-08-14T21:37:33.5791246Z src/sparse_ops/sparse_permute_2d.cu 2025-08-14T21:37:33.5791312Z src/sparse_ops/sparse_permute102.cu 2025-08-14T21:37:33.5791390Z src/sparse_ops/sparse_permute_embeddings.cu 2025-08-14T21:37:33.5791453Z src/sparse_ops/sparse_range.cu 2025-08-14T21:37:33.5791529Z src/sparse_ops/sparse_reorder_batched_ad.cu 2025-08-14T21:37:33.5791600Z src/sparse_ops/sparse_segment_sum_csr.cu 2025-08-14T21:37:33.5791663Z src/sparse_ops/sparse_zipf.cu 2025-08-14T21:37:33.5791708Z   2025-08-14T21:37:33.5791766Z CUDA_SPECIFIC_SRCS: 2025-08-14T21:37:33.5791808Z  2025-08-14T21:37:33.5791850Z   2025-08-14T21:37:33.5791959Z HIP_SPECIFIC_SRCS: 2025-08-14T21:37:33.5792004Z  2025-08-14T21:37:33.5792046Z   2025-08-14T21:37:33.5792096Z OTHER_SRCS: 2025-08-14T21:37:33.5792138Z  2025-08-14T21:37:33.5792178Z   2025-08-14T21:37:33.5792224Z CC_FLAGS: 2025-08-14T21:37:33.5792264Z  2025-08-14T21:37:33.5792308Z   2025-08-14T21:37:33.5792354Z NVCC_FLAGS: 2025-08-14T21:37:33.5792421Z --expt-relaxed-constexpr 2025-08-14T21:37:33.5792484Z -D__CUDA_NO_HALF_OPERATORS__ 2025-08-14T21:37:33.5792552Z -D__CUDA_NO_BFLOAT16_CONVERSIONS__ 2025-08-14T21:37:33.5792615Z -D__CUDA_NO_HALF2_OPERATORS__ 2025-08-14T21:37:33.5794000Z   2025-08-14T21:37:33.5794054Z HIPCC_FLAGS: 2025-08-14T21:37:33.5794098Z  2025-08-14T21:37:33.5794139Z   2025-08-14T21:37:33.5794190Z INCLUDE_DIRS: 2025-08-14T21:37:33.5794298Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:33.5794382Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:33.5794476Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:33.5794571Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:33.5794692Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:33.5794849Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:33.5794969Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src 2025-08-14T21:37:33.5795091Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cpuinfo/include 2025-08-14T21:37:33.5795212Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/include 2025-08-14T21:37:33.5795352Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/tools/util/include 2025-08-14T21:37:33.5795560Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/include 2025-08-14T21:37:33.5795718Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/library/include 2025-08-14T21:37:33.5795837Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/json/include 2025-08-14T21:37:33.5795880Z   2025-08-14T21:37:33.5795940Z Selected Source Files: 2025-08-14T21:37:33.5796005Z src/memory_utils/memory_utils.cpp 2025-08-14T21:37:33.5797047Z src/memory_utils/memory_utils_ops.cpp 2025-08-14T21:37:33.5797161Z src/merge_pooled_embedding_ops/merge_pooled_embedding_ops_cpu.cpp 2025-08-14T21:37:33.5797276Z src/permute_multi_embedding_ops/permute_multi_embedding_function.cpp 2025-08-14T21:37:33.5797387Z src/permute_multi_embedding_ops/permute_multi_embedding_ops_cpu.cpp 2025-08-14T21:37:33.5797501Z src/permute_pooled_embedding_ops/permute_pooled_embedding_function.cpp 2025-08-14T21:37:33.5797617Z src/permute_pooled_embedding_ops/permute_pooled_embedding_ops_cpu.cpp 2025-08-14T21:37:33.5797743Z src/permute_pooled_embedding_ops/permute_pooled_embedding_ops_split_cpu.cpp 2025-08-14T21:37:33.5797833Z src/jagged_tensor_ops/jagged_tensor_ops_autograd.cpp 2025-08-14T21:37:33.5797916Z src/jagged_tensor_ops/jagged_tensor_ops_meta.cpp 2025-08-14T21:37:33.5797996Z src/jagged_tensor_ops/jagged_tensor_ops_cpu.cpp 2025-08-14T21:37:33.5798069Z src/input_combine_ops/input_combine_cpu.cpp 2025-08-14T21:37:33.5798160Z src/layout_transform_ops/layout_transform_ops_cpu.cpp 2025-08-14T21:37:33.5798226Z src/quantize_ops/quantize_ops_cpu.cpp 2025-08-14T21:37:33.5798294Z src/quantize_ops/quantize_ops_meta.cpp 2025-08-14T21:37:33.5798374Z src/sparse_ops/sparse_async_batched_cumsum.cpp 2025-08-14T21:37:33.5798437Z src/sparse_ops/sparse_ops_cpu.cpp 2025-08-14T21:37:33.5798500Z src/sparse_ops/sparse_ops_meta.cpp 2025-08-14T21:37:33.5798561Z src/tbe/eeg/eeg_models.cpp 2025-08-14T21:37:33.5798662Z src/tbe/eeg/eeg_utils.cpp 2025-08-14T21:37:33.5798729Z src/tbe/eeg/indices_estimator_ops.cpp 2025-08-14T21:37:33.5798789Z src/tbe/eeg/indices_estimator.cpp 2025-08-14T21:37:33.5798855Z src/tbe/eeg/indices_generator_ops.cpp 2025-08-14T21:37:33.5799816Z src/tbe/eeg/indices_generator.cpp 2025-08-14T21:37:33.5799945Z src/intraining_embedding_pruning_ops/intraining_embedding_pruning_gpu.cpp 2025-08-14T21:37:33.5800035Z src/layout_transform_ops/layout_transform_ops_gpu.cpp 2025-08-14T21:37:33.5800150Z src/permute_pooled_embedding_ops/permute_pooled_embedding_ops_gpu.cpp 2025-08-14T21:37:33.5800274Z src/permute_pooled_embedding_ops/permute_pooled_embedding_ops_split_gpu.cpp 2025-08-14T21:37:33.5800340Z src/quantize_ops/quantize_ops_gpu.cpp 2025-08-14T21:37:33.5800400Z src/sparse_ops/sparse_ops_gpu.cpp 2025-08-14T21:37:33.5800466Z src/metric_ops/metric_ops_host.cpp 2025-08-14T21:37:33.5800539Z src/input_combine_ops/input_combine_gpu.cpp 2025-08-14T21:37:33.5800652Z src/merge_pooled_embedding_ops/merge_pooled_embedding_ops_gpu.cpp 2025-08-14T21:37:33.5800708Z src/topology_utils.cpp 2025-08-14T21:37:33.5800779Z src/histogram_binning_calibration_ops.cu 2025-08-14T21:37:33.5800848Z src/input_combine_ops/input_combine.cu 2025-08-14T21:37:33.5800962Z src/intraining_embedding_pruning_ops/intraining_embedding_pruning.cu 2025-08-14T21:37:33.5801023Z src/memory_utils/memory_utils.cu 2025-08-14T21:37:33.5801088Z src/memory_utils/memory_utils_ops.cu 2025-08-14T21:37:33.5801195Z src/jagged_tensor_ops/batched_dense_vec_jagged_2d_mul_backward.cu 2025-08-14T21:37:33.5801299Z src/jagged_tensor_ops/batched_dense_vec_jagged_2d_mul_forward.cu 2025-08-14T21:37:33.5801383Z src/jagged_tensor_ops/dense_to_jagged_forward.cu 2025-08-14T21:37:33.5801503Z src/jagged_tensor_ops/jagged_dense_bmm_forward.cu 2025-08-14T21:37:33.5801637Z src/jagged_tensor_ops/jagged_dense_dense_elementwise_add_jagged_output_forward.cu 2025-08-14T21:37:33.5801740Z src/jagged_tensor_ops/jagged_dense_elementwise_mul_backward.cu 2025-08-14T21:37:33.5802907Z src/jagged_tensor_ops/jagged_dense_elementwise_mul_forward.cu 2025-08-14T21:37:33.5802997Z src/jagged_tensor_ops/jagged_index_add_2d_forward.cu 2025-08-14T21:37:33.5803092Z src/jagged_tensor_ops/jagged_index_select_2d_forward.cu 2025-08-14T21:37:33.5803175Z src/jagged_tensor_ops/jagged_jagged_bmm_forward.cu 2025-08-14T21:37:33.5803256Z src/jagged_tensor_ops/jagged_softmax_backward.cu 2025-08-14T21:37:33.5803334Z src/jagged_tensor_ops/jagged_softmax_forward.cu 2025-08-14T21:37:33.5803408Z src/jagged_tensor_ops/jagged_tensor_ops.cu 2025-08-14T21:37:33.5803501Z src/jagged_tensor_ops/jagged_to_padded_dense_backward.cu 2025-08-14T21:37:33.5803597Z src/jagged_tensor_ops/jagged_to_padded_dense_forward.cu 2025-08-14T21:37:33.5803678Z src/jagged_tensor_ops/jagged_unique_indices.cu 2025-08-14T21:37:33.5803768Z src/jagged_tensor_ops/keyed_jagged_index_select_dim1.cu 2025-08-14T21:37:33.5803850Z src/layout_transform_ops/layout_transform_ops.cu 2025-08-14T21:37:33.5803909Z src/metric_ops/metric_ops.cu 2025-08-14T21:37:33.5804026Z src/permute_pooled_embedding_ops/permute_pooled_embedding_ops_split.cu 2025-08-14T21:37:33.5804133Z src/permute_pooled_embedding_ops/permute_pooled_embedding_ops.cu 2025-08-14T21:37:33.5804237Z src/permute_multi_embedding_ops/permute_multi_embedding_ops.cu 2025-08-14T21:37:33.5804303Z src/quantize_ops/quantize_bfloat16.cu 2025-08-14T21:37:33.5804374Z src/quantize_ops/quantize_fp8_rowwise.cu 2025-08-14T21:37:33.5804455Z src/quantize_ops/quantize_fused_8bit_rowwise.cu 2025-08-14T21:37:33.5804535Z src/quantize_ops/quantize_fused_nbit_rowwise.cu 2025-08-14T21:37:33.5804600Z 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Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_common.dir/codegen/training/forward/fbgemm_gpu_tbe_common_generated_embedding_forward_split_nobag_cpu_hip.cpp.o 2025-08-14T21:38:05.2388076Z [107/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_common.dir/codegen/training/pt2/fbgemm_gpu_tbe_common_generated_pt2_autograd_utils.cpp.o 2025-08-14T21:38:05.2390424Z [107/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_common.dir/codegen/utils/fbgemm_gpu_tbe_common_generated_embedding_bounds_check_host_hip.cpp.o 2025-08-14T21:38:05.2392866Z [107/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_common.dir/codegen/utils/fbgemm_gpu_tbe_common_generated_embedding_bounds_check_v1.hip.o 2025-08-14T21:38:05.2444440Z [107/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_common.dir/codegen/utils/fbgemm_gpu_tbe_common_generated_embedding_bounds_check_v2.hip.o 2025-08-14T21:38:05.2445227Z [108/612] cd /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build && bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../.github/scripts/fbgemm_gpu_postbuild.bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm.so 1 2025-08-14T21:38:05.2445898Z ################################################################################ 2025-08-14T21:38:05.2446051Z [CMAKE] Running post-build script ... 2025-08-14T21:38:05.2446282Z Target file: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm.so 2025-08-14T21:38:05.2446503Z Resetting RPATH to $ORIGIN ... 2025-08-14T21:38:05.2446774Z 0x000000000000000f (RPATH) Library rpath: [$ORIGIN] 2025-08-14T21:38:05.2446942Z ################################################################################ 2025-08-14T21:38:05.4772664Z 2025-08-14T21:38:05.4774729Z [109/612] Linking CXX shared library fbgemm_gpu_embedding_inplace_ops.so 2025-08-14T21:38:05.4841704Z [109/612] cd 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CMakeFiles/fbgemm_gpu_tbe_training_backward_split_host.dir/fbgemm_gpu_tbe_training_backward_split_host_generated_gen_embedding_backward_partial_rowwise_adam_split_unweighted_meta_hip.cpp.o 2025-08-14T21:38:08.6364827Z [112/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_split_host.dir/fbgemm_gpu_tbe_training_backward_split_host_generated_gen_embedding_backward_partial_rowwise_lamb_split_weighted_meta_hip.cpp.o 2025-08-14T21:38:08.6368079Z [112/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_split_host.dir/fbgemm_gpu_tbe_training_backward_split_host_generated_gen_embedding_backward_partial_rowwise_lamb_split_unweighted_meta_hip.cpp.o 2025-08-14T21:38:08.6370395Z [112/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_split_host.dir/fbgemm_gpu_tbe_training_backward_split_host_generated_gen_embedding_backward_none_split_unweighted_meta_hip.cpp.o 2025-08-14T21:38:08.6371778Z [112/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_split_host.dir/fbgemm_gpu_tbe_training_backward_split_host_generated_gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_meta_hip.cpp.o 2025-08-14T21:38:08.6374503Z [112/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_split_host.dir/fbgemm_gpu_tbe_training_backward_split_host_generated_gen_embedding_backward_rowwise_adagrad_with_counter_split_weighted_meta_hip.cpp.o 2025-08-14T21:38:08.6375864Z [113/612] cd /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build && bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../.github/scripts/fbgemm_gpu_postbuild.bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_tbe_utils.so 2025-08-14T21:38:08.6382190Z ################################################################################ 2025-08-14T21:38:08.6382408Z [CMAKE] Running post-build script ... 2025-08-14T21:38:08.6382874Z Target file: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_tbe_utils.so 2025-08-14T21:38:08.6383240Z Removing all RPATHs ... 2025-08-14T21:38:08.6383414Z ################################################################################ 2025-08-14T21:38:19.7354082Z 2025-08-14T21:38:21.9574589Z [114/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_common.dir/codegen/training/pt2/fbgemm_gpu_tbe_common_generated_pt2_autograd_utils.cpp.o 2025-08-14T21:38:22.3125455Z [115/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_common.dir/codegen/utils/fbgemm_gpu_tbe_common_generated_embedding_bounds_check_host_hip.cpp.o 2025-08-14T21:38:22.4163409Z [116/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_inference.dir/codegen/inference/fbgemm_gpu_tbe_inference_generated_embedding_forward_quantized_host_hip.cpp.o 2025-08-14T21:38:23.1287188Z [117/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_inference.dir/fbgemm_gpu_tbe_inference_generated_gen_embedding_forward_quantized_weighted_codegen_cpu_hip.cpp.o 2025-08-14T21:38:26.8654024Z [118/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_inference.dir/fbgemm_gpu_tbe_inference_generated_gen_embedding_forward_quantized_unweighted_codegen_cpu_hip.cpp.o 2025-08-14T21:38:27.9899474Z [119/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_common.dir/codegen/utils/fbgemm_gpu_tbe_common_generated_embedding_bounds_check_v1.hip.o 2025-08-14T21:38:29.7743521Z [120/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_common.dir/codegen/utils/fbgemm_gpu_tbe_common_generated_embedding_bounds_check_host_cpu_hip.cpp.o 2025-08-14T21:38:30.1913281Z [121/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_split_host.dir/fbgemm_gpu_tbe_training_backward_split_host_generated_gen_embedding_backward_rowwise_adagrad_split_weighted_meta_hip.cpp.o 2025-08-14T21:38:30.1914157Z [122/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_common.dir/codegen/training/forward/fbgemm_gpu_tbe_common_generated_embedding_forward_split_cpu_hip.cpp.o 2025-08-14T21:38:30.1914914Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.1915462Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.1922103Z | ^ 2025-08-14T21:38:30.1922490Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.1923206Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.1923572Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.1923770Z | ^ 2025-08-14T21:38:30.1924204Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.1932876Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.1933053Z | ^~~~~~~~ 2025-08-14T21:38:30.1933424Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: note: read of non-const variable 'max_thds' is not allowed in a constant expression 2025-08-14T21:38:30.1933956Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:30.1934263Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:30.1934403Z | ^ 2025-08-14T21:38:30.1934752Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.1935137Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.1935272Z | ^~~~~~~~ 2025-08-14T21:38:30.1935738Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:623:1: note: in instantiation of function template specialization 'internal::(anonymous namespace)::csr2csc_template_' requested here 2025-08-14T21:38:30.1936364Z 623 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int32_t); 2025-08-14T21:38:30.1936505Z | ^ 2025-08-14T21:38:30.1936823Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:620:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_2' 2025-08-14T21:38:30.1937195Z 620 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, float); \ 2025-08-14T21:38:30.1937357Z | ^ 2025-08-14T21:38:30.1937918Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:616:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_1' 2025-08-14T21:38:30.1938304Z 616 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, true); \ 2025-08-14T21:38:30.1938461Z | ^ 2025-08-14T21:38:30.1938886Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:605:17: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_0' 2025-08-14T21:38:30.1939268Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:30.1939446Z | ^ 2025-08-14T21:38:30.1939796Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: note: read of non-const variable 'max_thds' is not allowed in a constant expression 2025-08-14T21:38:30.1940157Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.1940281Z | ^ 2025-08-14T21:38:30.1940546Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:30.1940836Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:30.1940959Z | ^ 2025-08-14T21:38:30.1941301Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.1941665Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.1941785Z | ^~~~~~~~ 2025-08-14T21:38:30.1942224Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:623:1: note: in instantiation of function template specialization 'internal::(anonymous namespace)::csr2csc_template_' requested here 2025-08-14T21:38:30.1942692Z 623 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int32_t); 2025-08-14T21:38:30.1942984Z | ^ 2025-08-14T21:38:30.1943281Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:620:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_2' 2025-08-14T21:38:30.1943656Z 620 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, float); \ 2025-08-14T21:38:30.1943800Z | ^ 2025-08-14T21:38:30.1944094Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:617:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_1' 2025-08-14T21:38:30.1944456Z 617 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, false); 2025-08-14T21:38:30.1944605Z | ^ 2025-08-14T21:38:30.1944899Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:605:17: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_0' 2025-08-14T21:38:30.1945279Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:30.1945448Z | ^ 2025-08-14T21:38:30.1945792Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: note: read of non-const variable 'max_thds' is not allowed in a constant expression 2025-08-14T21:38:30.1946159Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.1946288Z | ^ 2025-08-14T21:38:30.1946552Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:30.1946881Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:30.1947013Z | ^ 2025-08-14T21:38:30.1947355Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.1947724Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.1947849Z | ^~~~~~~~ 2025-08-14T21:38:30.1948294Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:623:1: note: in instantiation of function template specialization 'internal::(anonymous namespace)::csr2csc_template_' requested here 2025-08-14T21:38:30.1948808Z 623 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int32_t); 2025-08-14T21:38:30.1948941Z | ^ 2025-08-14T21:38:30.1949236Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:621:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_2' 2025-08-14T21:38:30.1949591Z 621 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, double); 2025-08-14T21:38:30.1949734Z | ^ 2025-08-14T21:38:30.1950033Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:616:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_1' 2025-08-14T21:38:30.1950398Z 616 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, true); \ 2025-08-14T21:38:30.1950553Z | ^ 2025-08-14T21:38:30.1950850Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:605:17: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_0' 2025-08-14T21:38:30.1951233Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:30.1951407Z | ^ 2025-08-14T21:38:30.1951752Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: note: read of non-const variable 'max_thds' is not allowed in a constant expression 2025-08-14T21:38:30.1952115Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.1952238Z | ^ 2025-08-14T21:38:30.1952499Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:30.1952897Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:30.1953024Z | ^ 2025-08-14T21:38:30.1953360Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.1953758Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.1953886Z | ^~~~~~~~ 2025-08-14T21:38:30.1954328Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:623:1: note: in instantiation of function template specialization 'internal::(anonymous namespace)::csr2csc_template_' requested here 2025-08-14T21:38:30.1954792Z 623 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int32_t); 2025-08-14T21:38:30.1954924Z | ^ 2025-08-14T21:38:30.1955222Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:621:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_2' 2025-08-14T21:38:30.1955571Z 621 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, double); 2025-08-14T21:38:30.1955715Z | ^ 2025-08-14T21:38:30.1956012Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:617:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_1' 2025-08-14T21:38:30.1956377Z 617 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, false); 2025-08-14T21:38:30.1961049Z | ^ 2025-08-14T21:38:30.1961376Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:605:17: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_0' 2025-08-14T21:38:30.1961814Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:30.1961986Z | ^ 2025-08-14T21:38:30.1962333Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: note: read of non-const variable 'max_thds' is not allowed in a constant expression 2025-08-14T21:38:30.1962799Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.1962939Z | ^ 2025-08-14T21:38:30.1963197Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:30.1963479Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:30.1963656Z | ^ 2025-08-14T21:38:30.1963985Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.1964342Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.1964463Z | ^~~~~~~~ 2025-08-14T21:38:30.1964898Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:624:1: note: in instantiation of function template specialization 'internal::(anonymous namespace)::csr2csc_template_' requested here 2025-08-14T21:38:30.1965352Z 624 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int64_t); 2025-08-14T21:38:30.1965475Z | ^ 2025-08-14T21:38:30.1965767Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:620:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_2' 2025-08-14T21:38:30.1966219Z 620 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, float); \ 2025-08-14T21:38:30.1966428Z | ^ 2025-08-14T21:38:30.1966740Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:616:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_1' 2025-08-14T21:38:30.1967096Z 616 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, true); \ 2025-08-14T21:38:30.1967267Z | ^ 2025-08-14T21:38:30.1967614Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:605:17: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_0' 2025-08-14T21:38:30.1967987Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:30.1968159Z | ^ 2025-08-14T21:38:30.1968503Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: note: read of non-const variable 'max_thds' is not allowed in a constant expression 2025-08-14T21:38:30.1968897Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.1969014Z | ^ 2025-08-14T21:38:30.1969276Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:30.1969558Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:30.1969682Z | ^ 2025-08-14T21:38:30.1970014Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.1970375Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.1970492Z | ^~~~~~~~ 2025-08-14T21:38:30.1970936Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:624:1: note: in instantiation of function template specialization 'internal::(anonymous namespace)::csr2csc_template_' requested here 2025-08-14T21:38:30.1971557Z 624 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int64_t); 2025-08-14T21:38:30.1971705Z | ^ 2025-08-14T21:38:30.1971997Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:620:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_2' 2025-08-14T21:38:30.1972345Z 620 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, float); \ 2025-08-14T21:38:30.1972480Z | ^ 2025-08-14T21:38:30.1972882Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:617:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_1' 2025-08-14T21:38:30.1973240Z 617 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, false); 2025-08-14T21:38:30.1973387Z | ^ 2025-08-14T21:38:30.1973677Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:605:17: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_0' 2025-08-14T21:38:30.1974113Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:30.1974285Z | ^ 2025-08-14T21:38:30.1974630Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: note: read of non-const variable 'max_thds' is not allowed in a constant expression 2025-08-14T21:38:30.1974988Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.1975102Z | ^ 2025-08-14T21:38:30.1975364Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:30.1975796Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:30.1975923Z | ^ 2025-08-14T21:38:30.1976256Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.1976624Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.1976744Z | ^~~~~~~~ 2025-08-14T21:38:30.1977191Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:624:1: note: in instantiation of function template specialization 'internal::(anonymous namespace)::csr2csc_template_' requested here 2025-08-14T21:38:30.1977654Z 624 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int64_t); 2025-08-14T21:38:30.1977779Z | ^ 2025-08-14T21:38:30.1978075Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:621:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_2' 2025-08-14T21:38:30.1978429Z 621 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, double); 2025-08-14T21:38:30.1978569Z | ^ 2025-08-14T21:38:30.1978868Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:616:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_1' 2025-08-14T21:38:30.1979261Z 616 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, true); \ 2025-08-14T21:38:30.1979421Z | ^ 2025-08-14T21:38:30.1979886Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:605:17: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_0' 2025-08-14T21:38:30.1980476Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:30.1980749Z | ^ 2025-08-14T21:38:30.1981289Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: note: read of non-const variable 'max_thds' is not allowed in a constant expression 2025-08-14T21:38:30.1981849Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.1984563Z | ^ 2025-08-14T21:38:30.1984972Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:30.1985432Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:30.1985626Z | ^ 2025-08-14T21:38:30.1986049Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.1986417Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.1986536Z | ^~~~~~~~ 2025-08-14T21:38:30.1986991Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:624:1: note: in instantiation of function template specialization 'internal::(anonymous namespace)::csr2csc_template_' requested here 2025-08-14T21:38:30.1987466Z 624 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int64_t); 2025-08-14T21:38:30.1987592Z | ^ 2025-08-14T21:38:30.1987940Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:621:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_2' 2025-08-14T21:38:30.1989649Z 621 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, double); 2025-08-14T21:38:30.1989792Z | ^ 2025-08-14T21:38:30.1990091Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:617:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_1' 2025-08-14T21:38:30.1990458Z 617 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, false); 2025-08-14T21:38:30.1990607Z | ^ 2025-08-14T21:38:30.1990918Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:605:17: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_0' 2025-08-14T21:38:30.1991474Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:30.1991648Z | ^ 2025-08-14T21:38:30.1992082Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: note: read of non-const variable 'max_thds' is not allowed in a constant expression 2025-08-14T21:38:30.1992515Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.1992635Z | ^ 2025-08-14T21:38:30.1994521Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:30.1994976Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:30.1995169Z | ^ 2025-08-14T21:38:30.1995587Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.1995978Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.1996126Z | ^ 2025-08-14T21:38:30.1996507Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.1996909Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.1997159Z | ^ 2025-08-14T21:38:30.1997829Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.1999683Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.1999908Z | ^ 2025-08-14T21:38:30.2000290Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2000636Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2000786Z | ^ 2025-08-14T21:38:30.2001070Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2001415Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2001564Z | ^ 2025-08-14T21:38:30.2001915Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2002296Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2002440Z | ^ 2025-08-14T21:38:30.2004133Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2004560Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2004720Z | ^ 2025-08-14T21:38:30.2005186Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2005654Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2005793Z | ^ 2025-08-14T21:38:30.2006112Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2006452Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2006600Z | ^ 2025-08-14T21:38:30.2006888Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2007192Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2011315Z | ^ 2025-08-14T21:38:30.2011678Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2012064Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2012207Z | ^ 2025-08-14T21:38:30.2012530Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2013132Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2013296Z | ^ 2025-08-14T21:38:30.2013754Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2014223Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2014360Z | ^ 2025-08-14T21:38:30.2014678Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2016167Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2016316Z | ^ 2025-08-14T21:38:30.2016600Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2016909Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2017090Z | ^ 2025-08-14T21:38:30.2017439Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2017813Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2017954Z | ^ 2025-08-14T21:38:30.2018277Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2018628Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2018785Z | ^ 2025-08-14T21:38:30.2020275Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2020746Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2020884Z | ^ 2025-08-14T21:38:30.2021195Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2021530Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2021671Z | ^ 2025-08-14T21:38:30.2021944Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2022241Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2022385Z | ^ 2025-08-14T21:38:30.2022813Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2023248Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2024377Z | ^ 2025-08-14T21:38:30.2024698Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2026993Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2027156Z | ^ 2025-08-14T21:38:30.2027672Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2028140Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2028277Z | ^ 2025-08-14T21:38:30.2028588Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2028924Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2029064Z | ^ 2025-08-14T21:38:30.2030615Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2030925Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2031073Z | ^ 2025-08-14T21:38:30.2031419Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2031829Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2031967Z | ^ 2025-08-14T21:38:30.2032283Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2032628Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2032911Z | ^ 2025-08-14T21:38:30.2033373Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2033878Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2035150Z | ^ 2025-08-14T21:38:30.2035466Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2035814Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2035954Z | ^ 2025-08-14T21:38:30.2036226Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2036522Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2036664Z | ^ 2025-08-14T21:38:30.2037006Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2037378Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2037518Z | ^ 2025-08-14T21:38:30.2037832Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2039139Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2039299Z | ^ 2025-08-14T21:38:30.2039753Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2040248Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2040385Z | ^ 2025-08-14T21:38:30.2040694Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2041030Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2041168Z | ^ 2025-08-14T21:38:30.2041439Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2041739Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2041881Z | ^ 2025-08-14T21:38:30.2043310Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2043689Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2043828Z | ^ 2025-08-14T21:38:30.2044177Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2044521Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2044675Z | ^ 2025-08-14T21:38:30.2045131Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2045592Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2045727Z | ^ 2025-08-14T21:38:30.2046071Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2046406Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2047527Z | ^ 2025-08-14T21:38:30.2047811Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2048113Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2048274Z | ^ 2025-08-14T21:38:30.2048615Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2048988Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2049128Z | ^ 2025-08-14T21:38:30.2049445Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2049789Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2049945Z | ^ 2025-08-14T21:38:30.2051754Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2052229Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2052364Z | ^ 2025-08-14T21:38:30.2052805Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2053172Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2053313Z | ^ 2025-08-14T21:38:30.2053587Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2053885Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2054027Z | ^ 2025-08-14T21:38:30.2054364Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2054734Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2055944Z | ^ 2025-08-14T21:38:30.2056268Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2056645Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2056799Z | ^ 2025-08-14T21:38:30.2057258Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2057726Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2057861Z | ^ 2025-08-14T21:38:30.2058169Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2058544Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2058686Z | ^ 2025-08-14T21:38:30.2059944Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2060246Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2060388Z | ^ 2025-08-14T21:38:30.2060726Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2061096Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2061235Z | ^ 2025-08-14T21:38:30.2061554Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2061898Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2062055Z | ^ 2025-08-14T21:38:30.2062514Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2063104Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2064259Z | ^ 2025-08-14T21:38:30.2064575Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2064944Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2065085Z | ^ 2025-08-14T21:38:30.2065359Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2065656Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2065797Z | ^ 2025-08-14T21:38:30.2066136Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2066509Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2066648Z | ^ 2025-08-14T21:38:30.2066966Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2068301Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2068462Z | ^ 2025-08-14T21:38:30.2068965Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2069439Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2069577Z | ^ 2025-08-14T21:38:30.2069891Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2070226Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2070368Z | ^ 2025-08-14T21:38:30.2070683Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2070983Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2071126Z | ^ 2025-08-14T21:38:30.2072444Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2072977Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2073120Z | ^ 2025-08-14T21:38:30.2073442Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2073792Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2073953Z | ^ 2025-08-14T21:38:30.2074415Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2074885Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2075019Z | ^ 2025-08-14T21:38:30.2075330Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2075668Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2076816Z | ^ 2025-08-14T21:38:30.2077096Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2077434Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2077578Z | ^ 2025-08-14T21:38:30.2077920Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2078292Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2078430Z | ^ 2025-08-14T21:38:30.2078748Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2079094Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2079250Z | ^ 2025-08-14T21:38:30.2079712Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2081174Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2081313Z | ^ 2025-08-14T21:38:30.2081625Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2081959Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2082098Z | ^ 2025-08-14T21:38:30.2082373Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2082672Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2082979Z | ^ 2025-08-14T21:38:30.2083322Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2083764Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2085013Z | ^ 2025-08-14T21:38:30.2085341Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2085694Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2085851Z | ^ 2025-08-14T21:38:30.2086313Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2086779Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2086916Z | ^ 2025-08-14T21:38:30.2087229Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2087564Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2087704Z | ^ 2025-08-14T21:38:30.2087980Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2089349Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2089532Z | ^ 2025-08-14T21:38:30.2089879Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2090254Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2090394Z | ^ 2025-08-14T21:38:30.2090714Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2091057Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2091276Z | ^ 2025-08-14T21:38:30.2091735Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2092202Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2092336Z | ^ 2025-08-14T21:38:30.2093859Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2094201Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2094341Z | ^ 2025-08-14T21:38:30.2094615Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2094913Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2095057Z | ^ 2025-08-14T21:38:30.2095451Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2095830Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2095970Z | ^ 2025-08-14T21:38:30.2096291Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2096636Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2097848Z | ^ 2025-08-14T21:38:30.2098314Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2098784Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2098920Z | ^ 2025-08-14T21:38:30.2099232Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2099571Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2099711Z | ^ 2025-08-14T21:38:30.2099986Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2100285Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2100428Z | ^ 2025-08-14T21:38:30.2100770Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2101176Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2102278Z | ^ 2025-08-14T21:38:30.2102603Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2103084Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2103240Z | ^ 2025-08-14T21:38:30.2103698Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2104160Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2104296Z | ^ 2025-08-14T21:38:30.2104608Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2104972Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2105112Z | ^ 2025-08-14T21:38:30.2105386Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2106665Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2106809Z | ^ 2025-08-14T21:38:30.2107148Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2107524Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2107666Z | ^ 2025-08-14T21:38:30.2108032Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2108382Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2108536Z | ^ 2025-08-14T21:38:30.2108994Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2109459Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2110557Z | ^ 2025-08-14T21:38:30.2110873Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2111205Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2111347Z | ^ 2025-08-14T21:38:30.2111624Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2111919Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2112061Z | ^ 2025-08-14T21:38:30.2112399Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2112880Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2113019Z | ^ 2025-08-14T21:38:30.2113377Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2114697Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2114858Z | ^ 2025-08-14T21:38:30.2115319Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2115785Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2115920Z | ^ 2025-08-14T21:38:30.2116230Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2116566Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2116706Z | ^ 2025-08-14T21:38:30.2117008Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2117306Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2117447Z | ^ 2025-08-14T21:38:30.2118738Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2119114Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2119258Z | ^ 2025-08-14T21:38:30.2119574Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2119961Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2120116Z | ^ 2025-08-14T21:38:30.2120586Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2121060Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2121194Z | ^ 2025-08-14T21:38:30.2121502Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2121840Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2123429Z | ^ 2025-08-14T21:38:30.2123712Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2124013Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2124156Z | ^ 2025-08-14T21:38:30.2124500Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2124872Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2125010Z | ^ 2025-08-14T21:38:30.2125331Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2125709Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2125867Z | ^ 2025-08-14T21:38:30.2126335Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2127790Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2127930Z | ^ 2025-08-14T21:38:30.2128240Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2128574Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2128716Z | ^ 2025-08-14T21:38:30.2128995Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2129292Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2129464Z | ^ 2025-08-14T21:38:30.2129804Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2130175Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2130314Z | ^ 2025-08-14T21:38:30.2131640Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2131989Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2132146Z | ^ 2025-08-14T21:38:30.2132665Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2133249Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2133386Z | ^ 2025-08-14T21:38:30.2133694Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2134026Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2134166Z | ^ 2025-08-14T21:38:30.2134442Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2135706Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2135854Z | ^ 2025-08-14T21:38:30.2136196Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2136569Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2136708Z | ^ 2025-08-14T21:38:30.2137025Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2137367Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2137524Z | ^ 2025-08-14T21:38:30.2138023Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2138500Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2138634Z | ^ 2025-08-14T21:38:30.2139858Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2140198Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2140339Z | ^ 2025-08-14T21:38:30.2140614Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2140914Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2141058Z | ^ 2025-08-14T21:38:30.2141181Z 34 warnings generated when compiling for gfx90a. 2025-08-14T21:38:30.2141579Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2141954Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2142094Z | ^ 2025-08-14T21:38:30.2142410Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2143980Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2144285Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2144429Z | ^ 2025-08-14T21:38:30.2144837Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2145199Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.2145320Z | ^~~~~~~~ 2025-08-14T21:38:30.2145669Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: note: read of non-const variable 'max_thds' is not allowed in a constant expression 2025-08-14T21:38:30.2146177Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:30.2146462Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:30.2146588Z | ^ 2025-08-14T21:38:30.2146923Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2148251Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.2148374Z | ^~~~~~~~ 2025-08-14T21:38:30.2148817Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:623:1: note: in instantiation of function template specialization 'internal::(anonymous namespace)::csr2csc_template_' requested here 2025-08-14T21:38:30.2149277Z 623 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int32_t); 2025-08-14T21:38:30.2149404Z | ^ 2025-08-14T21:38:30.2149700Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:620:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_2' 2025-08-14T21:38:30.2150051Z 620 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, float); \ 2025-08-14T21:38:30.2150215Z | ^ 2025-08-14T21:38:30.2150513Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:616:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_1' 2025-08-14T21:38:30.2150876Z 616 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, true); \ 2025-08-14T21:38:30.2151029Z | ^ 2025-08-14T21:38:30.2152270Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:605:17: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_0' 2025-08-14T21:38:30.2152651Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:30.2152947Z | ^ 2025-08-14T21:38:30.2153294Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: note: read of non-const variable 'max_thds' is not allowed in a constant expression 2025-08-14T21:38:30.2153657Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.2153778Z | ^ 2025-08-14T21:38:30.2154043Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:30.2154329Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:30.2154483Z | ^ 2025-08-14T21:38:30.2154816Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2155176Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.2156261Z | ^~~~~~~~ 2025-08-14T21:38:30.2156707Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:623:1: note: in instantiation of function template specialization 'internal::(anonymous namespace)::csr2csc_template_' requested here 2025-08-14T21:38:30.2157169Z 623 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int32_t); 2025-08-14T21:38:30.2157295Z | ^ 2025-08-14T21:38:30.2157639Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:620:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_2' 2025-08-14T21:38:30.2157991Z 620 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, float); \ 2025-08-14T21:38:30.2158127Z | ^ 2025-08-14T21:38:30.2158419Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:617:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_1' 2025-08-14T21:38:30.2158777Z 617 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, false); 2025-08-14T21:38:30.2158923Z | ^ 2025-08-14T21:38:30.2159215Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:605:17: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_0' 2025-08-14T21:38:30.2160534Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:30.2160709Z | ^ 2025-08-14T21:38:30.2161056Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: note: read of non-const variable 'max_thds' is not allowed in a constant expression 2025-08-14T21:38:30.2161415Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.2161532Z | ^ 2025-08-14T21:38:30.2161791Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:30.2162075Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:30.2162196Z | ^ 2025-08-14T21:38:30.2162527Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2163062Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.2164304Z | ^~~~~~~~ 2025-08-14T21:38:30.2164801Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:623:1: note: in instantiation of function template specialization 'internal::(anonymous namespace)::csr2csc_template_' requested here 2025-08-14T21:38:30.2165262Z 623 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int32_t); 2025-08-14T21:38:30.2165388Z | ^ 2025-08-14T21:38:30.2165681Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:621:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_2' 2025-08-14T21:38:30.2166030Z 621 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, double); 2025-08-14T21:38:30.2166166Z | ^ 2025-08-14T21:38:30.2166460Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:616:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_1' 2025-08-14T21:38:30.2166820Z 616 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, true); \ 2025-08-14T21:38:30.2166969Z | ^ 2025-08-14T21:38:30.2167263Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:605:17: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_0' 2025-08-14T21:38:30.2168605Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:30.2168779Z | ^ 2025-08-14T21:38:30.2169122Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: note: read of non-const variable 'max_thds' is not allowed in a constant expression 2025-08-14T21:38:30.2169482Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.2169599Z | ^ 2025-08-14T21:38:30.2169857Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:30.2170141Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:30.2170264Z | ^ 2025-08-14T21:38:30.2170641Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2171002Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.2171217Z | ^~~~~~~~ 2025-08-14T21:38:30.2172602Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:623:1: note: in instantiation of function template specialization 'internal::(anonymous namespace)::csr2csc_template_' requested here 2025-08-14T21:38:30.2173182Z 623 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int32_t); 2025-08-14T21:38:30.2173309Z | ^ 2025-08-14T21:38:30.2173601Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:621:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_2' 2025-08-14T21:38:30.2173951Z 621 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, double); 2025-08-14T21:38:30.2174086Z | ^ 2025-08-14T21:38:30.2174379Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:617:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_1' 2025-08-14T21:38:30.2174737Z 617 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, false); 2025-08-14T21:38:30.2174882Z | ^ 2025-08-14T21:38:30.2175173Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:605:17: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_0' 2025-08-14T21:38:30.2175548Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:30.2176679Z | ^ 2025-08-14T21:38:30.2177027Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: note: read of non-const variable 'max_thds' is not allowed in a constant expression 2025-08-14T21:38:30.2177420Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.2177536Z | ^ 2025-08-14T21:38:30.2177794Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:30.2178076Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:30.2178197Z | ^ 2025-08-14T21:38:30.2178527Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2178885Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.2179001Z | ^~~~~~~~ 2025-08-14T21:38:30.2179436Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:624:1: note: in instantiation of function template specialization 'internal::(anonymous namespace)::csr2csc_template_' requested here 2025-08-14T21:38:30.2180832Z 624 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int64_t); 2025-08-14T21:38:30.2180960Z | ^ 2025-08-14T21:38:30.2181257Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:620:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_2' 2025-08-14T21:38:30.2181629Z 620 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, float); \ 2025-08-14T21:38:30.2181766Z | ^ 2025-08-14T21:38:30.2182054Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:616:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_1' 2025-08-14T21:38:30.2182409Z 616 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, true); \ 2025-08-14T21:38:30.2182555Z | ^ 2025-08-14T21:38:30.2183113Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:605:17: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_0' 2025-08-14T21:38:30.2183678Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:30.2183939Z | ^ 2025-08-14T21:38:30.2185305Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: note: read of non-const variable 'max_thds' is not allowed in a constant expression 2025-08-14T21:38:30.2185665Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.2185781Z | ^ 2025-08-14T21:38:30.2186036Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:30.2186317Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:30.2186437Z | ^ 2025-08-14T21:38:30.2186766Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2187125Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.2187240Z | ^~~~~~~~ 2025-08-14T21:38:30.2187679Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:624:1: note: in instantiation of function template specialization 'internal::(anonymous namespace)::csr2csc_template_' requested here 2025-08-14T21:38:30.2188137Z 624 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int64_t); 2025-08-14T21:38:30.2189200Z | ^ 2025-08-14T21:38:30.2189498Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:620:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_2' 2025-08-14T21:38:30.2189846Z 620 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, float); \ 2025-08-14T21:38:30.2189982Z | ^ 2025-08-14T21:38:30.2190272Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:617:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_1' 2025-08-14T21:38:30.2190656Z 617 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, false); 2025-08-14T21:38:30.2190802Z | ^ 2025-08-14T21:38:30.2191092Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:605:17: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_0' 2025-08-14T21:38:30.2191467Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:30.2191635Z | ^ 2025-08-14T21:38:30.2191976Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: note: read of non-const variable 'max_thds' is not allowed in a constant expression 2025-08-14T21:38:30.2193360Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.2193480Z | ^ 2025-08-14T21:38:30.2193737Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:30.2194021Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:30.2194142Z | ^ 2025-08-14T21:38:30.2194474Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2194872Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.2194989Z | ^~~~~~~~ 2025-08-14T21:38:30.2195426Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:624:1: note: in instantiation of function template specialization 'internal::(anonymous namespace)::csr2csc_template_' requested here 2025-08-14T21:38:30.2195885Z 624 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int64_t); 2025-08-14T21:38:30.2196987Z | ^ 2025-08-14T21:38:30.2197281Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:621:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_2' 2025-08-14T21:38:30.2197631Z 621 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, double); 2025-08-14T21:38:30.2197816Z | ^ 2025-08-14T21:38:30.2198106Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:616:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_1' 2025-08-14T21:38:30.2198465Z 616 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, true); \ 2025-08-14T21:38:30.2198613Z | ^ 2025-08-14T21:38:30.2198902Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:605:17: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_0' 2025-08-14T21:38:30.2199275Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:30.2199446Z | ^ 2025-08-14T21:38:30.2199786Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: note: read of non-const variable 'max_thds' is not allowed in a constant expression 2025-08-14T21:38:30.2201084Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.2201203Z | ^ 2025-08-14T21:38:30.2201459Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:30.2201744Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:30.2201865Z | ^ 2025-08-14T21:38:30.2202194Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2202552Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.2202667Z | ^~~~~~~~ 2025-08-14T21:38:30.2203188Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:624:1: note: in instantiation of function template specialization 'internal::(anonymous namespace)::csr2csc_template_' requested here 2025-08-14T21:38:30.2203679Z 624 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int64_t); 2025-08-14T21:38:30.2203802Z | ^ 2025-08-14T21:38:30.2205042Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:621:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_2' 2025-08-14T21:38:30.2205397Z 621 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, double); 2025-08-14T21:38:30.2205531Z | ^ 2025-08-14T21:38:30.2205826Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:617:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_1' 2025-08-14T21:38:30.2206184Z 617 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, false); 2025-08-14T21:38:30.2206329Z | ^ 2025-08-14T21:38:30.2206619Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:605:17: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_0' 2025-08-14T21:38:30.2207001Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:30.2207170Z | ^ 2025-08-14T21:38:30.2207511Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: note: read of non-const variable 'max_thds' is not allowed in a constant expression 2025-08-14T21:38:30.2207899Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.2208947Z | ^ 2025-08-14T21:38:30.2209206Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:30.2209487Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:30.2209607Z | ^ 2025-08-14T21:38:30.2209935Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2210357Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2210501Z | ^ 2025-08-14T21:38:30.2210820Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2211224Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2211384Z | ^ 2025-08-14T21:38:30.2211836Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2213311Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2213454Z | ^ 2025-08-14T21:38:30.2213768Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2214105Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2214248Z | ^ 2025-08-14T21:38:30.2214521Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2214819Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2214963Z | ^ 2025-08-14T21:38:30.2215304Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2215675Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2215847Z | ^ 2025-08-14T21:38:30.2217117Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2217468Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2217626Z | ^ 2025-08-14T21:38:30.2218074Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2218534Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2218669Z | ^ 2025-08-14T21:38:30.2218978Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2219312Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2219453Z | ^ 2025-08-14T21:38:30.2219751Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2220048Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2221133Z | ^ 2025-08-14T21:38:30.2221477Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2221845Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2221983Z | ^ 2025-08-14T21:38:30.2222344Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2222688Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2222902Z | ^ 2025-08-14T21:38:30.2223352Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2223808Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2223942Z | ^ 2025-08-14T21:38:30.2224252Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2225551Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2225695Z | ^ 2025-08-14T21:38:30.2225967Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2226272Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2226413Z | ^ 2025-08-14T21:38:30.2226753Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2227123Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2227262Z | ^ 2025-08-14T21:38:30.2227575Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2227950Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2229055Z | ^ 2025-08-14T21:38:30.2229514Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2229977Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2230111Z | ^ 2025-08-14T21:38:30.2230418Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2230749Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2230889Z | ^ 2025-08-14T21:38:30.2231162Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2231490Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2231632Z | ^ 2025-08-14T21:38:30.2231969Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2233354Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2233499Z | ^ 2025-08-14T21:38:30.2233816Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2234160Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2234360Z | ^ 2025-08-14T21:38:30.2234811Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2235268Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2235403Z | ^ 2025-08-14T21:38:30.2235710Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2236041Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2236180Z | ^ 2025-08-14T21:38:30.2237429Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2237729Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2237873Z | ^ 2025-08-14T21:38:30.2238211Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2238580Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2238718Z | ^ 2025-08-14T21:38:30.2239033Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2239374Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2239562Z | ^ 2025-08-14T21:38:30.2240017Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2240477Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2241590Z | ^ 2025-08-14T21:38:30.2241902Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2242233Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2242372Z | ^ 2025-08-14T21:38:30.2242645Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2243016Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2243159Z | ^ 2025-08-14T21:38:30.2243501Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2243897Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2244034Z | ^ 2025-08-14T21:38:30.2244351Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2244694Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2245800Z | ^ 2025-08-14T21:38:30.2246306Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2246765Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2246900Z | ^ 2025-08-14T21:38:30.2247208Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2247542Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2247680Z | ^ 2025-08-14T21:38:30.2247952Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2248247Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2248389Z | ^ 2025-08-14T21:38:30.2249667Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2250044Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2250184Z | ^ 2025-08-14T21:38:30.2250506Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2250851Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2251005Z | ^ 2025-08-14T21:38:30.2251528Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2252024Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2252159Z | ^ 2025-08-14T21:38:30.2252468Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2252879Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2254308Z | ^ 2025-08-14T21:38:30.2254587Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2254885Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2255027Z | ^ 2025-08-14T21:38:30.2255372Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2255744Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2255910Z | ^ 2025-08-14T21:38:30.2256227Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2256571Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2256725Z | ^ 2025-08-14T21:38:30.2257188Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2258670Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2258810Z | ^ 2025-08-14T21:38:30.2259120Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2259457Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2259597Z | ^ 2025-08-14T21:38:30.2259872Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2260172Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2260312Z | ^ 2025-08-14T21:38:30.2260652Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2261025Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2261163Z | ^ 2025-08-14T21:38:30.2262397Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2262833Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2262988Z | ^ 2025-08-14T21:38:30.2263447Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2263917Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2264078Z | ^ 2025-08-14T21:38:30.2264391Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2264726Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2264866Z | ^ 2025-08-14T21:38:30.2265140Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2265438Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2266518Z | ^ 2025-08-14T21:38:30.2266861Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2267236Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2267378Z | ^ 2025-08-14T21:38:30.2267695Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2268065Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2268219Z | ^ 2025-08-14T21:38:30.2268683Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2269153Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2269287Z | ^ 2025-08-14T21:38:30.2269666Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2270927Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2271070Z | ^ 2025-08-14T21:38:30.2271343Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2271639Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2271780Z | ^ 2025-08-14T21:38:30.2272118Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2272488Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2272626Z | ^ 2025-08-14T21:38:30.2273024Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2273370Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2274444Z | ^ 2025-08-14T21:38:30.2274913Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2275391Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2275526Z | ^ 2025-08-14T21:38:30.2275836Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2276214Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2276353Z | ^ 2025-08-14T21:38:30.2276629Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2276926Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2277066Z | ^ 2025-08-14T21:38:30.2277406Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2278685Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2278831Z | ^ 2025-08-14T21:38:30.2279154Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2279497Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2279686Z | ^ 2025-08-14T21:38:30.2280142Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2280605Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2280740Z | ^ 2025-08-14T21:38:30.2281048Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2281379Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2281564Z | ^ 2025-08-14T21:38:30.2282801Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2283107Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2283248Z | ^ 2025-08-14T21:38:30.2283588Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2283958Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2284096Z | ^ 2025-08-14T21:38:30.2284413Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2284760Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2284916Z | ^ 2025-08-14T21:38:30.2285373Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2285835Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2286897Z | ^ 2025-08-14T21:38:30.2287210Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2287543Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2287725Z | ^ 2025-08-14T21:38:30.2287998Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2288292Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2288434Z | ^ 2025-08-14T21:38:30.2288771Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2289138Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2289277Z | ^ 2025-08-14T21:38:30.2289592Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2290843Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2291003Z | ^ 2025-08-14T21:38:30.2291528Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2292032Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2292165Z | ^ 2025-08-14T21:38:30.2292476Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2292892Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2293031Z | ^ 2025-08-14T21:38:30.2293303Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2293640Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2293782Z | ^ 2025-08-14T21:38:30.2295061Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2295436Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2295575Z | ^ 2025-08-14T21:38:30.2295893Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2296237Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2296391Z | ^ 2025-08-14T21:38:30.2296850Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2297312Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2297446Z | ^ 2025-08-14T21:38:30.2297753Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2298988Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2299132Z | ^ 2025-08-14T21:38:30.2299409Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2299735Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2299878Z | ^ 2025-08-14T21:38:30.2300216Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2300587Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2300724Z | ^ 2025-08-14T21:38:30.2301041Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2301384Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2301537Z | ^ 2025-08-14T21:38:30.2302981Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2303485Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2303620Z | ^ 2025-08-14T21:38:30.2303929Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2304265Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2304404Z | ^ 2025-08-14T21:38:30.2304678Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2304973Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2305114Z | ^ 2025-08-14T21:38:30.2305492Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2305860Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2306929Z | ^ 2025-08-14T21:38:30.2307253Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2307600Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2307753Z | ^ 2025-08-14T21:38:30.2308213Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2308688Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2308823Z | ^ 2025-08-14T21:38:30.2309134Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2309468Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2309607Z | ^ 2025-08-14T21:38:30.2309880Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2311076Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2311221Z | ^ 2025-08-14T21:38:30.2311590Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2311961Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2312102Z | ^ 2025-08-14T21:38:30.2312420Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2312874Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2313027Z | ^ 2025-08-14T21:38:30.2313483Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2313945Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2314081Z | ^ 2025-08-14T21:38:30.2315305Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2315677Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2315816Z | ^ 2025-08-14T21:38:30.2316087Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2316382Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2316524Z | ^ 2025-08-14T21:38:30.2316862Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2317270Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2317409Z | ^ 2025-08-14T21:38:30.2317726Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2319010Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2319169Z | ^ 2025-08-14T21:38:30.2319634Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2320101Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2320237Z | ^ 2025-08-14T21:38:30.2320547Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2320880Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2321018Z | ^ 2025-08-14T21:38:30.2321291Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2321359Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2321398Z | ^ 2025-08-14T21:38:30.2321675Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2321762Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2321807Z | ^ 2025-08-14T21:38:30.2323070Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2323146Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2323192Z | ^ 2025-08-14T21:38:30.2323571Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2323631Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2323672Z | ^ 2025-08-14T21:38:30.2323914Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2323973Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2324051Z | ^ 2025-08-14T21:38:30.2324242Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2324310Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2324347Z | ^ 2025-08-14T21:38:30.2324622Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2324679Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2324726Z | ^ 2025-08-14T21:38:30.2324995Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2325067Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2325113Z | ^ 2025-08-14T21:38:30.2325493Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2325550Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2325590Z | ^ 2025-08-14T21:38:30.2326711Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2326774Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2326820Z | ^ 2025-08-14T21:38:30.2327014Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2327082Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2327120Z | ^ 2025-08-14T21:38:30.2327396Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2327454Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2327497Z | ^ 2025-08-14T21:38:30.2327736Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2327832Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2327881Z | ^ 2025-08-14T21:38:30.2328262Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2328320Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2328360Z | ^ 2025-08-14T21:38:30.2328597Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2328658Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2328704Z | ^ 2025-08-14T21:38:30.2328897Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2328979Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2329016Z | ^ 2025-08-14T21:38:30.2329293Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2330227Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2330272Z | ^ 2025-08-14T21:38:30.2330508Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2330615Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2330663Z | ^ 2025-08-14T21:38:30.2331044Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2331152Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2331192Z | ^ 2025-08-14T21:38:30.2331428Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2331486Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2331533Z | ^ 2025-08-14T21:38:30.2331725Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2331793Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2331832Z | ^ 2025-08-14T21:38:30.2331890Z 34 warnings generated when compiling for gfx942. 2025-08-14T21:38:30.2332167Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2332224Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2332269Z | ^ 2025-08-14T21:38:30.2332505Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2332779Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2332846Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2333766Z | ^ 2025-08-14T21:38:30.2334044Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2334091Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.2334131Z | ^~~~~~~~ 2025-08-14T21:38:30.2334406Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: note: read of non-const variable 'max_thds' is not allowed in a constant expression 2025-08-14T21:38:30.2334597Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:30.2334652Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:30.2334689Z | ^ 2025-08-14T21:38:30.2334964Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2335035Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.2335074Z | ^~~~~~~~ 2025-08-14T21:38:30.2335441Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:623:1: note: in instantiation of function template specialization 'internal::(anonymous namespace)::csr2csc_template_' requested here 2025-08-14T21:38:30.2335497Z 623 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int32_t); 2025-08-14T21:38:30.2335531Z | ^ 2025-08-14T21:38:30.2335776Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:620:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_2' 2025-08-14T21:38:30.2335878Z 620 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, float); \ 2025-08-14T21:38:30.2335915Z | ^ 2025-08-14T21:38:30.2336158Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:616:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_1' 2025-08-14T21:38:30.2336237Z 616 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, true); \ 2025-08-14T21:38:30.2336270Z | ^ 2025-08-14T21:38:30.2336514Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:605:17: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_0' 2025-08-14T21:38:30.2337472Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:30.2337512Z | ^ 2025-08-14T21:38:30.2337790Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: note: read of non-const variable 'max_thds' is not allowed in a constant expression 2025-08-14T21:38:30.2337837Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.2337875Z | ^ 2025-08-14T21:38:30.2338066Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:30.2338118Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:30.2338154Z | ^ 2025-08-14T21:38:30.2338428Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2338472Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.2338510Z | ^~~~~~~~ 2025-08-14T21:38:30.2338878Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:623:1: note: in instantiation of function template specialization 'internal::(anonymous namespace)::csr2csc_template_' requested here 2025-08-14T21:38:30.2338964Z 623 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int32_t); 2025-08-14T21:38:30.2339000Z | ^ 2025-08-14T21:38:30.2339240Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:620:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_2' 2025-08-14T21:38:30.2339305Z 620 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, float); \ 2025-08-14T21:38:30.2339339Z | ^ 2025-08-14T21:38:30.2339580Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:617:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_1' 2025-08-14T21:38:30.2339655Z 617 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, false); 2025-08-14T21:38:30.2339690Z | ^ 2025-08-14T21:38:30.2339932Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:605:17: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_0' 2025-08-14T21:38:30.2340029Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:30.2340941Z | ^ 2025-08-14T21:38:30.2341216Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: note: read of non-const variable 'max_thds' is not allowed in a constant expression 2025-08-14T21:38:30.2341261Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.2341299Z | ^ 2025-08-14T21:38:30.2341489Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:30.2341541Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:30.2341575Z | ^ 2025-08-14T21:38:30.2341848Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2341930Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.2341969Z | ^~~~~~~~ 2025-08-14T21:38:30.2342335Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:623:1: note: in instantiation of function template specialization 'internal::(anonymous namespace)::csr2csc_template_' requested here 2025-08-14T21:38:30.2342389Z 623 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int32_t); 2025-08-14T21:38:30.2342422Z | ^ 2025-08-14T21:38:30.2342662Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:621:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_2' 2025-08-14T21:38:30.2342803Z 621 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, double); 2025-08-14T21:38:30.2342837Z | ^ 2025-08-14T21:38:30.2343082Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:616:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_1' 2025-08-14T21:38:30.2343158Z 616 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, true); \ 2025-08-14T21:38:30.2343195Z | ^ 2025-08-14T21:38:30.2343437Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:605:17: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_0' 2025-08-14T21:38:30.2343531Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:30.2344435Z | ^ 2025-08-14T21:38:30.2344708Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: note: read of non-const variable 'max_thds' is not allowed in a constant expression 2025-08-14T21:38:30.2344752Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.2344789Z | ^ 2025-08-14T21:38:30.2345006Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:30.2345060Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:30.2345093Z | ^ 2025-08-14T21:38:30.2345368Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2345411Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.2345449Z | ^~~~~~~~ 2025-08-14T21:38:30.2345816Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:623:1: note: in instantiation of function template specialization 'internal::(anonymous namespace)::csr2csc_template_' requested here 2025-08-14T21:38:30.2345870Z 623 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int32_t); 2025-08-14T21:38:30.2345904Z | ^ 2025-08-14T21:38:30.2346147Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:621:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_2' 2025-08-14T21:38:30.2346210Z 621 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, double); 2025-08-14T21:38:30.2346262Z | ^ 2025-08-14T21:38:30.2346504Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:617:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_1' 2025-08-14T21:38:30.2346579Z 617 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, false); 2025-08-14T21:38:30.2346612Z | ^ 2025-08-14T21:38:30.2346852Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:605:17: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_0' 2025-08-14T21:38:30.2346944Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:30.2346983Z | ^ 2025-08-14T21:38:30.2348156Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: note: read of non-const variable 'max_thds' is not allowed in a constant expression 2025-08-14T21:38:30.2348203Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.2348240Z | ^ 2025-08-14T21:38:30.2348431Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:30.2348482Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:30.2348518Z | ^ 2025-08-14T21:38:30.2348790Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2348834Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.2348870Z | ^~~~~~~~ 2025-08-14T21:38:30.2349238Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:624:1: note: in instantiation of function template specialization 'internal::(anonymous namespace)::csr2csc_template_' requested here 2025-08-14T21:38:30.2349290Z 624 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int64_t); 2025-08-14T21:38:30.2349324Z | ^ 2025-08-14T21:38:30.2349564Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:620:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_2' 2025-08-14T21:38:30.2349628Z 620 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, float); \ 2025-08-14T21:38:30.2349661Z | ^ 2025-08-14T21:38:30.2349904Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:616:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_1' 2025-08-14T21:38:30.2349980Z 616 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, true); \ 2025-08-14T21:38:30.2350029Z | ^ 2025-08-14T21:38:30.2350271Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:605:17: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_0' 2025-08-14T21:38:30.2350364Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:30.2350401Z | ^ 2025-08-14T21:38:30.2351541Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: note: read of non-const variable 'max_thds' is not allowed in a constant expression 2025-08-14T21:38:30.2351609Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.2351647Z | ^ 2025-08-14T21:38:30.2351838Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:30.2351890Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:30.2351924Z | ^ 2025-08-14T21:38:30.2352200Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2352242Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.2352297Z | ^~~~~~~~ 2025-08-14T21:38:30.2352662Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:624:1: note: in instantiation of function template specialization 'internal::(anonymous namespace)::csr2csc_template_' requested here 2025-08-14T21:38:30.2352792Z 624 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int64_t); 2025-08-14T21:38:30.2352826Z | ^ 2025-08-14T21:38:30.2353066Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:620:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_2' 2025-08-14T21:38:30.2353130Z 620 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, float); \ 2025-08-14T21:38:30.2353164Z | ^ 2025-08-14T21:38:30.2353443Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:617:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_1' 2025-08-14T21:38:30.2353519Z 617 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, false); 2025-08-14T21:38:30.2353553Z | ^ 2025-08-14T21:38:30.2353794Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:605:17: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_0' 2025-08-14T21:38:30.2353888Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:30.2353924Z | ^ 2025-08-14T21:38:30.2354197Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: note: read of non-const variable 'max_thds' is not allowed in a constant expression 2025-08-14T21:38:30.2355135Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.2355176Z | ^ 2025-08-14T21:38:30.2355368Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:30.2355420Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:30.2355456Z | ^ 2025-08-14T21:38:30.2355729Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2355772Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.2355810Z | ^~~~~~~~ 2025-08-14T21:38:30.2356175Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:624:1: note: in instantiation of function template specialization 'internal::(anonymous namespace)::csr2csc_template_' requested here 2025-08-14T21:38:30.2356256Z 624 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int64_t); 2025-08-14T21:38:30.2356289Z | ^ 2025-08-14T21:38:30.2356532Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:621:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_2' 2025-08-14T21:38:30.2356596Z 621 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, double); 2025-08-14T21:38:30.2356630Z | ^ 2025-08-14T21:38:30.2356874Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:616:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_1' 2025-08-14T21:38:30.2356950Z 616 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, true); \ 2025-08-14T21:38:30.2356983Z | ^ 2025-08-14T21:38:30.2357226Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:605:17: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_0' 2025-08-14T21:38:30.2357317Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:30.2357356Z | ^ 2025-08-14T21:38:30.2357633Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: note: read of non-const variable 'max_thds' is not allowed in a constant expression 2025-08-14T21:38:30.2358588Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.2358626Z | ^ 2025-08-14T21:38:30.2358816Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:30.2358867Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:30.2358902Z | ^ 2025-08-14T21:38:30.2359173Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2359216Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.2359255Z | ^~~~~~~~ 2025-08-14T21:38:30.2359665Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:624:1: note: in instantiation of function template specialization 'internal::(anonymous namespace)::csr2csc_template_' requested here 2025-08-14T21:38:30.2359719Z 624 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int64_t); 2025-08-14T21:38:30.2359753Z | ^ 2025-08-14T21:38:30.2359993Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:621:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_2' 2025-08-14T21:38:30.2360057Z 621 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, double); 2025-08-14T21:38:30.2360090Z | ^ 2025-08-14T21:38:30.2360331Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:617:3: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_1' 2025-08-14T21:38:30.2360406Z 617 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, false); 2025-08-14T21:38:30.2360440Z | ^ 2025-08-14T21:38:30.2360682Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:605:17: note: expanded from macro 'INSTANTIATE_CSR2CSC_TEMPLATE_0' 2025-08-14T21:38:30.2360775Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:30.2360813Z | ^ 2025-08-14T21:38:30.2361083Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:488:16: note: read of non-const variable 'max_thds' is not allowed in a constant expression 2025-08-14T21:38:30.2361128Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:30.2362024Z | ^ 2025-08-14T21:38:30.2362216Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:30.2362267Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:30.2362322Z | ^ 2025-08-14T21:38:30.2362594Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2362655Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2362701Z | ^ 2025-08-14T21:38:30.2363006Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2363081Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2363131Z | ^ 2025-08-14T21:38:30.2363494Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2363556Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2363596Z | ^ 2025-08-14T21:38:30.2363855Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2363913Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2363961Z | ^ 2025-08-14T21:38:30.2364150Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2364220Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2364258Z | ^ 2025-08-14T21:38:30.2364567Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2364627Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2365543Z | ^ 2025-08-14T21:38:30.2365780Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2365851Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2365899Z | ^ 2025-08-14T21:38:30.2366257Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2366316Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2366358Z | ^ 2025-08-14T21:38:30.2366593Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2366651Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2366697Z | ^ 2025-08-14T21:38:30.2366887Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2366954Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2366993Z | ^ 2025-08-14T21:38:30.2367265Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2367351Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2367394Z | ^ 2025-08-14T21:38:30.2367629Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2367698Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2367745Z | ^ 2025-08-14T21:38:30.2368100Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2368158Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2369054Z | ^ 2025-08-14T21:38:30.2369292Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2369372Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2369417Z | ^ 2025-08-14T21:38:30.2369608Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2369674Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2369712Z | ^ 2025-08-14T21:38:30.2369994Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2370052Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2370097Z | ^ 2025-08-14T21:38:30.2370361Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2370433Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2370479Z | ^ 2025-08-14T21:38:30.2370840Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2370897Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2370936Z | ^ 2025-08-14T21:38:30.2371225Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2371283Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2371329Z | ^ 2025-08-14T21:38:30.2371518Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2371585Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2371622Z | ^ 2025-08-14T21:38:30.2372836Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2372896Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2372942Z | ^ 2025-08-14T21:38:30.2373205Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2373275Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2373322Z | ^ 2025-08-14T21:38:30.2373686Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2373743Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2373782Z | ^ 2025-08-14T21:38:30.2374015Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2374074Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2374119Z | ^ 2025-08-14T21:38:30.2374308Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2374394Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2374432Z | ^ 2025-08-14T21:38:30.2374704Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2374762Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2374805Z | ^ 2025-08-14T21:38:30.2375039Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2375146Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2375194Z | ^ 2025-08-14T21:38:30.2376432Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2376492Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2376531Z | ^ 2025-08-14T21:38:30.2376767Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2376826Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2376871Z | ^ 2025-08-14T21:38:30.2377063Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2377132Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2377169Z | ^ 2025-08-14T21:38:30.2377445Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2377501Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2377545Z | ^ 2025-08-14T21:38:30.2377779Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2377869Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2377917Z | ^ 2025-08-14T21:38:30.2378283Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2378340Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2378379Z | ^ 2025-08-14T21:38:30.2378616Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2378674Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2378717Z | ^ 2025-08-14T21:38:30.2379766Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2379833Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2379891Z | ^ 2025-08-14T21:38:30.2380164Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2380222Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2380264Z | ^ 2025-08-14T21:38:30.2380498Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2380568Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2380615Z | ^ 2025-08-14T21:38:30.2381017Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2381076Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2381115Z | ^ 2025-08-14T21:38:30.2381350Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2381407Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2381451Z | ^ 2025-08-14T21:38:30.2381643Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2381714Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2381751Z | ^ 2025-08-14T21:38:30.2382031Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2382094Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2382139Z | ^ 2025-08-14T21:38:30.2382374Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2383398Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2383445Z | ^ 2025-08-14T21:38:30.2383843Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2383901Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2383940Z | ^ 2025-08-14T21:38:30.2384173Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2384231Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2384274Z | ^ 2025-08-14T21:38:30.2384463Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2384529Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2384569Z | ^ 2025-08-14T21:38:30.2384843Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2384920Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2384962Z | ^ 2025-08-14T21:38:30.2385197Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2385266Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2385312Z | ^ 2025-08-14T21:38:30.2385718Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2385777Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2385817Z | ^ 2025-08-14T21:38:30.2386052Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2386981Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2387026Z | ^ 2025-08-14T21:38:30.2387216Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2387283Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2387321Z | ^ 2025-08-14T21:38:30.2387598Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2387656Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2387700Z | ^ 2025-08-14T21:38:30.2387933Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2388003Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2388049Z | ^ 2025-08-14T21:38:30.2388423Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2388505Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2388545Z | ^ 2025-08-14T21:38:30.2388780Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2388838Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2388882Z | ^ 2025-08-14T21:38:30.2389072Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2389137Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2389175Z | ^ 2025-08-14T21:38:30.2389447Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2390353Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2390398Z | ^ 2025-08-14T21:38:30.2390649Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2390719Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2390765Z | ^ 2025-08-14T21:38:30.2391132Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2391191Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2391231Z | ^ 2025-08-14T21:38:30.2391495Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2391553Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2391598Z | ^ 2025-08-14T21:38:30.2391785Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2391851Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2391888Z | ^ 2025-08-14T21:38:30.2392161Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2392218Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2392264Z | ^ 2025-08-14T21:38:30.2392495Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2392566Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2392611Z | ^ 2025-08-14T21:38:30.2393035Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2393955Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2394021Z | ^ 2025-08-14T21:38:30.2394257Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2394315Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2394359Z | ^ 2025-08-14T21:38:30.2394551Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2394616Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2394654Z | ^ 2025-08-14T21:38:30.2394922Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2394980Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2395024Z | ^ 2025-08-14T21:38:30.2395258Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2395348Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2395394Z | ^ 2025-08-14T21:38:30.2395756Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2395813Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2395852Z | ^ 2025-08-14T21:38:30.2396086Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2396178Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2396222Z | ^ 2025-08-14T21:38:30.2396412Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2396478Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2397375Z | ^ 2025-08-14T21:38:30.2397651Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2397708Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2397752Z | ^ 2025-08-14T21:38:30.2397986Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2398056Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2398103Z | ^ 2025-08-14T21:38:30.2398468Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2398524Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2398563Z | ^ 2025-08-14T21:38:30.2398795Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2398873Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2398919Z | ^ 2025-08-14T21:38:30.2399108Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2399175Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2399213Z | ^ 2025-08-14T21:38:30.2399486Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2399544Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2399586Z | ^ 2025-08-14T21:38:30.2399823Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2399895Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2400791Z | ^ 2025-08-14T21:38:30.2401188Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2401244Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2401284Z | ^ 2025-08-14T21:38:30.2401517Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2401573Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2401618Z | ^ 2025-08-14T21:38:30.2401837Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2401905Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2401942Z | ^ 2025-08-14T21:38:30.2402213Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2402269Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2402313Z | ^ 2025-08-14T21:38:30.2402545Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2402616Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2402664Z | ^ 2025-08-14T21:38:30.2403112Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2403169Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2403208Z | ^ 2025-08-14T21:38:30.2403439Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2403497Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2404398Z | ^ 2025-08-14T21:38:30.2404614Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2404685Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2404724Z | ^ 2025-08-14T21:38:30.2404994Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2405052Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2405095Z | ^ 2025-08-14T21:38:30.2405327Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2405395Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2405443Z | ^ 2025-08-14T21:38:30.2405808Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2405882Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2405921Z | ^ 2025-08-14T21:38:30.2406157Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2406213Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2406258Z | ^ 2025-08-14T21:38:30.2406447Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2406515Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2406589Z | ^ 2025-08-14T21:38:30.2406860Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2406918Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2406962Z | ^ 2025-08-14T21:38:30.2408051Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2408122Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2408169Z | ^ 2025-08-14T21:38:30.2408536Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2408594Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2408632Z | ^ 2025-08-14T21:38:30.2408864Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2408921Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2408965Z | ^ 2025-08-14T21:38:30.2409153Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2409220Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2409303Z | ^ 2025-08-14T21:38:30.2409577Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2409636Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2409678Z | ^ 2025-08-14T21:38:30.2409911Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2409980Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2410027Z | ^ 2025-08-14T21:38:30.2410395Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2410455Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2410510Z | ^ 2025-08-14T21:38:30.2411705Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2411765Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2411808Z | ^ 2025-08-14T21:38:30.2411999Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2412064Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2412102Z | ^ 2025-08-14T21:38:30.2412410Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2412469Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2412513Z | ^ 2025-08-14T21:38:30.2412819Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2412889Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2412936Z | ^ 2025-08-14T21:38:30.2413309Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2413368Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2413407Z | ^ 2025-08-14T21:38:30.2413642Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2413698Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2413742Z | ^ 2025-08-14T21:38:30.2413931Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2413997Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2414033Z | ^ 2025-08-14T21:38:30.2415174Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2415274Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2415319Z | ^ 2025-08-14T21:38:30.2415554Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2415624Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2415669Z | ^ 2025-08-14T21:38:30.2416044Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2416099Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2416139Z | ^ 2025-08-14T21:38:30.2416372Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2416449Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2416492Z | ^ 2025-08-14T21:38:30.2416680Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2416746Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2416783Z | ^ 2025-08-14T21:38:30.2417053Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2417112Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2417191Z | ^ 2025-08-14T21:38:30.2417425Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2417494Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2417540Z | ^ 2025-08-14T21:38:30.2417918Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2418837Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2418876Z | ^ 2025-08-14T21:38:30.2419114Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2419170Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2419216Z | ^ 2025-08-14T21:38:30.2419404Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2419471Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2419508Z | ^ 2025-08-14T21:38:30.2419780Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:38:30.2419836Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2419905Z | ^ 2025-08-14T21:38:30.2420136Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:91:65: note: while substituting into a lambda expression here 2025-08-14T21:38:30.2420207Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:30.2420253Z | ^ 2025-08-14T21:38:30.2420627Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:238:27: note: in instantiation of function template specialization 'split_embedding_forward_cpu_kernel' requested here 2025-08-14T21:38:30.2420682Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:30.2420722Z | ^ 2025-08-14T21:38:30.2420955Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:138:49: note: initializer of 'D' is not a constant expression 2025-08-14T21:38:30.2421015Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:30.2421058Z | ^ 2025-08-14T21:38:30.2421262Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:30.2422191Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:30.2422229Z | ^ 2025-08-14T21:38:30.2422285Z 34 warnings generated when compiling for host. 2025-08-14T21:38:30.2422319Z 2025-08-14T21:38:30.5564299Z [123/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_split_host.dir/fbgemm_gpu_tbe_training_backward_split_host_generated_gen_embedding_backward_partial_rowwise_lamb_split_weighted_meta_hip.cpp.o 2025-08-14T21:38:30.6064890Z [124/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_split_host.dir/fbgemm_gpu_tbe_training_backward_split_host_generated_gen_embedding_backward_adam_split_unweighted_meta_hip.cpp.o 2025-08-14T21:38:30.6444228Z [125/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_split_host.dir/fbgemm_gpu_tbe_training_backward_split_host_generated_gen_embedding_backward_lamb_split_weighted_meta_hip.cpp.o 2025-08-14T21:38:30.6489405Z [126/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_common.dir/codegen/training/forward/fbgemm_gpu_tbe_common_generated_embedding_forward_split_nobag_cpu_hip.cpp.o 2025-08-14T21:38:30.8938057Z [127/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_split_host.dir/fbgemm_gpu_tbe_training_backward_split_host_generated_gen_embedding_backward_lars_sgd_split_weighted_meta_hip.cpp.o 2025-08-14T21:38:31.1471456Z [128/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_split_host.dir/fbgemm_gpu_tbe_training_backward_split_host_generated_gen_embedding_backward_none_split_weighted_meta_hip.cpp.o 2025-08-14T21:38:31.3119978Z [129/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_inference.dir/codegen/inference/fbgemm_gpu_tbe_inference_generated_embedding_forward_quantized_host_cpu_hip.cpp.o 2025-08-14T21:38:31.5656860Z [130/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_split_host.dir/fbgemm_gpu_tbe_training_backward_split_host_generated_gen_embedding_backward_partial_rowwise_adam_split_weighted_meta_hip.cpp.o 2025-08-14T21:38:31.8019006Z [131/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_split_host.dir/fbgemm_gpu_tbe_training_backward_split_host_generated_gen_embedding_backward_rowwise_adagrad_split_unweighted_meta_hip.cpp.o 2025-08-14T21:38:31.9768436Z [132/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_split_host.dir/fbgemm_gpu_tbe_training_backward_split_host_generated_gen_embedding_backward_partial_rowwise_adam_split_unweighted_meta_hip.cpp.o 2025-08-14T21:38:32.1525126Z [133/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_inference.dir/codegen/inference/fbgemm_gpu_tbe_inference_generated_embedding_forward_quantized_split_lookup.hip.o 2025-08-14T21:38:32.4786144Z [134/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_split_host.dir/fbgemm_gpu_tbe_training_backward_split_host_generated_gen_embedding_backward_sgd_split_weighted_meta_hip.cpp.o 2025-08-14T21:38:32.5822938Z [135/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_split_host.dir/fbgemm_gpu_tbe_training_backward_split_host_generated_gen_embedding_backward_adam_split_weighted_meta_hip.cpp.o 2025-08-14T21:38:32.7348725Z [136/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_split_host.dir/fbgemm_gpu_tbe_training_backward_split_host_generated_gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_meta_hip.cpp.o 2025-08-14T21:38:32.9401060Z [137/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_split_host.dir/fbgemm_gpu_tbe_training_backward_split_host_generated_gen_embedding_backward_none_split_unweighted_meta_hip.cpp.o 2025-08-14T21:38:33.0147722Z [138/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_split_host.dir/fbgemm_gpu_tbe_training_backward_split_host_generated_gen_embedding_backward_sgd_split_unweighted_meta_hip.cpp.o 2025-08-14T21:38:33.0148668Z [139/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_common.dir/codegen/utils/fbgemm_gpu_tbe_common_generated_embedding_bounds_check_v2.hip.o 2025-08-14T21:38:33.3696953Z [139/612] Linking CXX shared library fbgemm_gpu_tbe_common.so 2025-08-14T21:38:33.3697380Z [140/612] Linking CXX shared library fbgemm_gpu_tbe_common.so 2025-08-14T21:38:33.3701386Z [140/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_ssd_unweighted_vbe_kernel.hip.o 2025-08-14T21:38:33.3707979Z [140/612] cd /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build && bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../.github/scripts/fbgemm_gpu_postbuild.bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_tbe_common.so 1 2025-08-14T21:38:33.3709374Z [140/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_pt2_cpu_wrapper_hip.cpp.o 2025-08-14T21:38:33.3712659Z [140/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_weighted_codegen_meta.cpp.o 2025-08-14T21:38:33.3716091Z [140/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_unweighted_codegen_meta.cpp.o 2025-08-14T21:38:33.3720105Z [140/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_dense_weighted_codegen_meta.cpp.o 2025-08-14T21:38:33.3721728Z [140/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_dense_unweighted_codegen_meta.cpp.o 2025-08-14T21:38:33.3725072Z 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CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_unweighted_vbe_codegen_meta.cpp.o 2025-08-14T21:38:33.3741214Z [140/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_ssd_unweighted_vbe_codegen_meta.cpp.o 2025-08-14T21:38:33.3742218Z [140/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_pt2_hip_wrapper.cpp.o 2025-08-14T21:38:33.3743310Z [140/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_ssd_pt2_hip_wrapper.cpp.o 2025-08-14T21:38:33.3744261Z [140/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_weighted_kernel.hip.o 2025-08-14T21:38:33.3745223Z [140/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_dense_weighted_kernel.hip.o 2025-08-14T21:38:33.3746259Z [140/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_ssd_weighted_kernel.hip.o 2025-08-14T21:38:33.3748459Z [140/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_unweighted_nobag_kernel.hip.o 2025-08-14T21:38:33.3752660Z [140/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_dense_unweighted_nobag_kernel.hip.o 2025-08-14T21:38:33.3753872Z [140/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_ssd_unweighted_nobag_kernel.hip.o 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CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_unweighted_codegen_hip.hip.o 2025-08-14T21:38:33.3770585Z [140/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_dense_weighted_codegen_hip.hip.o 2025-08-14T21:38:33.3772994Z [140/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_dense_unweighted_codegen_hip.hip.o 2025-08-14T21:38:33.3774305Z [140/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_ssd_weighted_codegen_hip.hip.o 2025-08-14T21:38:33.3776701Z [140/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_ssd_unweighted_codegen_hip.hip.o 2025-08-14T21:38:33.3782137Z [140/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_weighted_vbe_codegen_hip.hip.o 2025-08-14T21:38:33.3783506Z [140/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_weighted_vbe_kernel.hip.o 2025-08-14T21:38:33.3784920Z [140/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_weighted_v2_kernel.hip.o 2025-08-14T21:38:33.3788721Z [140/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_weighted_gwd_codegen_hip.hip.o 2025-08-14T21:38:33.3790168Z [141/612] cd /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build && bash 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CMakeFiles/fbgemm_gpu_tbe_training_backward_split_host.dir/fbgemm_gpu_tbe_training_backward_split_host_generated_gen_embedding_backward_split_rowwise_adagrad_with_counter_hip.cpp.o 2025-08-14T21:38:51.8949634Z [172/612] Linking CXX shared library fbgemm_gpu_tbe_training_backward_split_host.so 2025-08-14T21:38:51.8950016Z [173/612] Linking CXX shared library fbgemm_gpu_tbe_training_backward_split_host.so 2025-08-14T21:38:52.3013482Z [173/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_split_partial_rowwise_lamb_pt2_autograd_hip.cpp.o 2025-08-14T21:38:52.3014213Z [174/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_inference.dir/fbgemm_gpu_tbe_inference_generated_gen_embedding_forward_quantized_split_nbit_kernel_weighted_int2_codegen_hip.hip.o 2025-08-14T21:38:52.9341254Z [174/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_split_none_pt2_autograd_hip.cpp.o 2025-08-14T21:38:52.9342369Z [175/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_weighted_codegen_meta.cpp.o 2025-08-14T21:38:53.1698727Z [175/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_split_approx_sgd_pt2_autograd_hip.cpp.o 2025-08-14T21:38:53.1699802Z [176/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_ssd_unweighted_codegen_meta.cpp.o 2025-08-14T21:38:53.4766635Z [176/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_split_rowwise_adagrad_with_counter_pt2_autograd_hip.cpp.o 2025-08-14T21:38:53.4767366Z [177/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_ssd_unweighted_vbe_codegen_meta.cpp.o 2025-08-14T21:38:53.9466525Z [177/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_split_approx_rowwise_adagrad_pt2_autograd_hip.cpp.o 2025-08-14T21:38:53.9468510Z [178/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_unweighted_codegen_meta.cpp.o 2025-08-14T21:38:54.3977395Z [178/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_split_approx_rowwise_adagrad_with_weight_decay_pt2_autograd_hip.cpp.o 2025-08-14T21:38:54.3978802Z [179/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_dense_unweighted_codegen_meta.cpp.o 2025-08-14T21:38:54.4056804Z [179/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_split_approx_rowwise_adagrad_with_counter_pt2_autograd_hip.cpp.o 2025-08-14T21:38:54.4058126Z [180/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_inference.dir/fbgemm_gpu_tbe_inference_generated_gen_embedding_forward_quantized_split_nbit_kernel_unweighted_fp16_codegen_hip.hip.o 2025-08-14T21:38:54.4075977Z [180/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_ssd_rowwise_adagrad_pt2_autograd_hip.cpp.o 2025-08-14T21:38:54.4077132Z [181/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_ssd_weighted_vbe_codegen_meta.cpp.o 2025-08-14T21:38:54.6390869Z [181/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_split_rowwise_adagrad_with_weight_decay_pt2_autograd_hip.cpp.o 2025-08-14T21:38:54.6392214Z [182/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_unweighted_vbe_codegen_meta.cpp.o 2025-08-14T21:38:55.0786724Z [182/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_split_rowwise_weighted_adagrad_pt2_autograd_hip.cpp.o 2025-08-14T21:38:55.0788691Z [183/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_inference.dir/fbgemm_gpu_tbe_inference_generated_gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_fp16_codegen_hip.hip.o 2025-08-14T21:38:55.4843596Z [183/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_adagrad_pt2_cpu_wrapper_hip.cpp.o 2025-08-14T21:38:55.4844771Z [184/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_ssd_weighted_codegen_meta.cpp.o 2025-08-14T21:38:56.4493169Z [184/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_sgd_pt2_cpu_wrapper_hip.cpp.o 2025-08-14T21:38:56.4493917Z [185/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_dense_weighted_codegen_meta.cpp.o 2025-08-14T21:38:56.5843944Z [185/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_rowwise_adagrad_pt2_cpu_wrapper_hip.cpp.o 2025-08-14T21:38:56.5845644Z [186/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_inference.dir/fbgemm_gpu_tbe_inference_generated_gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_int2_codegen_hip.hip.o 2025-08-14T21:38:57.3781507Z [186/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_adam_pt2_cpu_wrapper.cpp.o 2025-08-14T21:38:57.3782231Z [187/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_inference.dir/fbgemm_gpu_tbe_inference_generated_gen_embedding_forward_quantized_split_nbit_kernel_unweighted_int2_codegen_hip.hip.o 2025-08-14T21:38:57.6421607Z [187/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_lamb_pt2_cpu_wrapper.cpp.o 2025-08-14T21:38:57.6422323Z [188/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_inference.dir/fbgemm_gpu_tbe_inference_generated_gen_embedding_forward_quantized_split_nbit_host_unweighted_codegen_hip.hip.o 2025-08-14T21:38:57.8021653Z [188/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_lars_sgd_pt2_cpu_wrapper.cpp.o 2025-08-14T21:38:57.8022483Z [189/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_inference.dir/fbgemm_gpu_tbe_inference_generated_gen_embedding_forward_quantized_split_nbit_kernel_weighted_fp16_codegen_hip.hip.o 2025-08-14T21:38:58.3517894Z [189/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_none_pt2_cpu_wrapper.cpp.o 2025-08-14T21:38:58.3519173Z [190/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_inference.dir/fbgemm_gpu_tbe_inference_generated_gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_fp8_codegen_hip.hip.o 2025-08-14T21:38:58.3549245Z [190/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_partial_rowwise_adam_pt2_cpu_wrapper.cpp.o 2025-08-14T21:38:58.3550406Z [191/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_inference.dir/fbgemm_gpu_tbe_inference_generated_gen_embedding_forward_quantized_split_nbit_host_weighted_codegen_hip.hip.o 2025-08-14T21:38:59.4311348Z [191/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_partial_rowwise_lamb_pt2_cpu_wrapper.cpp.o 2025-08-14T21:38:59.4312637Z [192/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_adam_pt2_cpu_wrapper.cpp.o 2025-08-14T21:38:59.6914966Z [192/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_approx_sgd_pt2_cpu_wrapper.cpp.o 2025-08-14T21:38:59.6916199Z [193/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_weighted_vbe_codegen_meta.cpp.o 2025-08-14T21:39:00.4389540Z [193/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_rowwise_adagrad_with_counter_pt2_cpu_wrapper.cpp.o 2025-08-14T21:39:00.4390887Z [194/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_lamb_pt2_cpu_wrapper.cpp.o 2025-08-14T21:39:00.6267858Z [194/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_approx_rowwise_adagrad_with_counter_pt2_cpu_wrapper.cpp.o 2025-08-14T21:39:00.6268949Z [195/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_none_pt2_cpu_wrapper.cpp.o 2025-08-14T21:39:00.6834676Z [195/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_none_split_weighted_kernel_cta.hip.o 2025-08-14T21:39:00.6835965Z [196/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_inference.dir/fbgemm_gpu_tbe_inference_generated_gen_embedding_forward_quantized_split_nbit_kernel_unweighted_fp8_codegen_hip.hip.o 2025-08-14T21:39:01.0544915Z [196/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_approx_rowwise_adagrad_pt2_cpu_wrapper.cpp.o 2025-08-14T21:39:01.0545688Z [197/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_lars_sgd_pt2_cpu_wrapper.cpp.o 2025-08-14T21:39:01.2820347Z [197/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_approx_rowwise_adagrad_with_weight_decay_pt2_cpu_wrapper.cpp.o 2025-08-14T21:39:01.2821948Z [198/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_partial_rowwise_adam_pt2_cpu_wrapper.cpp.o 2025-08-14T21:39:01.4373065Z [198/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_rowwise_adagrad_with_weight_decay_pt2_cpu_wrapper.cpp.o 2025-08-14T21:39:01.4374401Z [199/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_partial_rowwise_lamb_pt2_cpu_wrapper.cpp.o 2025-08-14T21:39:01.7986993Z [199/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_adagrad_pt2_hip_wrapper.cpp.o 2025-08-14T21:39:01.7988319Z [200/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_dense_unweighted_nobag_kernel.hip.o 2025-08-14T21:39:01.9457371Z [200/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_rowwise_weighted_adagrad_pt2_cpu_wrapper.cpp.o 2025-08-14T21:39:01.9459377Z [201/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_approx_sgd_pt2_cpu_wrapper.cpp.o 2025-08-14T21:39:02.3546916Z [201/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_sgd_pt2_hip_wrapper.cpp.o 2025-08-14T21:39:02.3547621Z [202/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_rowwise_adagrad_with_counter_pt2_cpu_wrapper.cpp.o 2025-08-14T21:39:02.3745782Z [202/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_none_split_unweighted_hip.hip.o 2025-08-14T21:39:02.3746512Z [203/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_ssd_pt2_hip_wrapper.cpp.o 2025-08-14T21:39:02.9540638Z [203/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_none_split_unweighted_nobag_kernel_cta.hip.o 2025-08-14T21:39:02.9541716Z [204/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_pt2_cpu_wrapper_hip.cpp.o 2025-08-14T21:39:02.9699343Z [204/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_rowwise_adagrad_pt2_hip_wrapper.cpp.o 2025-08-14T21:39:02.9700224Z [205/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_inference.dir/fbgemm_gpu_tbe_inference_generated_gen_embedding_forward_quantized_split_nbit_kernel_weighted_fp8_codegen_hip.hip.o 2025-08-14T21:39:03.1123271Z [205/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_adam_pt2_hip_wrapper.cpp.o 2025-08-14T21:39:03.1124053Z [206/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_approx_rowwise_adagrad_with_counter_pt2_cpu_wrapper.cpp.o 2025-08-14T21:39:03.3440300Z [206/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_lamb_pt2_hip_wrapper.cpp.o 2025-08-14T21:39:03.3441066Z [207/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_approx_rowwise_adagrad_pt2_cpu_wrapper.cpp.o 2025-08-14T21:39:03.7944556Z [207/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_lars_sgd_pt2_hip_wrapper.cpp.o 2025-08-14T21:39:03.7946153Z [208/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_approx_rowwise_adagrad_with_weight_decay_pt2_cpu_wrapper.cpp.o 2025-08-14T21:39:03.7947488Z [208/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_none_pt2_hip_wrapper.cpp.o 2025-08-14T21:39:03.7956775Z [209/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_dense_weighted_codegen_hip.hip.o 2025-08-14T21:39:04.2652541Z [209/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_partial_rowwise_adam_pt2_hip_wrapper.cpp.o 2025-08-14T21:39:04.2654601Z [210/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_unweighted_nobag_kernel.hip.o 2025-08-14T21:39:04.2705773Z [210/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_partial_rowwise_lamb_pt2_hip_wrapper.cpp.o 2025-08-14T21:39:04.2706521Z [211/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_rowwise_adagrad_with_weight_decay_pt2_cpu_wrapper.cpp.o 2025-08-14T21:39:04.5980666Z [211/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_approx_sgd_pt2_cuda_wrapper.cpp.o 2025-08-14T21:39:04.5981507Z [212/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_rowwise_weighted_adagrad_pt2_cpu_wrapper.cpp.o 2025-08-14T21:39:04.9081624Z [212/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_rowwise_adagrad_with_counter_pt2_hip_wrapper.cpp.o 2025-08-14T21:39:04.9091396Z [213/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_weighted_codegen_hip.hip.o 2025-08-14T21:39:05.3319884Z [213/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_approx_rowwise_adagrad_with_counter_pt2_cuda_wrapper.cpp.o 2025-08-14T21:39:05.3320646Z [214/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_ssd_unweighted_nobag_kernel.hip.o 2025-08-14T21:39:05.6894200Z [214/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_approx_rowwise_adagrad_pt2_cuda_wrapper.cpp.o 2025-08-14T21:39:05.6894985Z [215/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_dense_unweighted_codegen_hip.hip.o 2025-08-14T21:39:05.6895955Z [215/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_approx_rowwise_adagrad_with_weight_decay_pt2_cuda_wrapper.cpp.o 2025-08-14T21:39:05.6896693Z [216/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_pt2_hip_wrapper.cpp.o 2025-08-14T21:39:07.1143520Z [216/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_rowwise_adagrad_with_weight_decay_pt2_cuda_wrapper.cpp.o 2025-08-14T21:39:07.1144802Z [217/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_approx_sgd_pt2_cuda_wrapper.cpp.o 2025-08-14T21:39:07.4098713Z [217/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_ssd_rowwise_adagrad_pt2_hip_wrapper.cpp.o 2025-08-14T21:39:07.4099437Z [218/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_dense_unweighted_vbe_codegen_hip.hip.o 2025-08-14T21:39:08.2458460Z [218/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_rowwise_weighted_adagrad_pt2_cuda_wrapper.cpp.o 2025-08-14T21:39:08.2460625Z [219/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_approx_rowwise_adagrad_with_counter_pt2_cuda_wrapper.cpp.o 2025-08-14T21:39:08.5681742Z [219/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/codegen/training/backward/fbgemm_gpu_tbe_training_backward_generated_embedding_backward_dense_host_cpu_hip.cpp.o 2025-08-14T21:39:08.5689009Z [220/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_approx_rowwise_adagrad_pt2_cuda_wrapper.cpp.o 2025-08-14T21:39:08.5725806Z [220/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_dense_split_cpu_hip.cpp.o 2025-08-14T21:39:08.5726670Z [221/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_dense_weighted_vbe_codegen_hip.hip.o 2025-08-14T21:39:08.7258553Z [221/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_split_adagrad_cpu_hip.cpp.o 2025-08-14T21:39:08.7259906Z [222/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_inference.dir/fbgemm_gpu_tbe_inference_generated_gen_embedding_forward_quantized_split_nbit_kernel_unweighted_int4_codegen_hip.hip.o 2025-08-14T21:39:08.8631081Z [222/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_split_rowwise_adagrad_cpu_hip.cpp.o 2025-08-14T21:39:08.8631821Z [223/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_approx_rowwise_adagrad_with_weight_decay_pt2_cuda_wrapper.cpp.o 2025-08-14T21:39:09.1228986Z [223/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_split_sgd_cpu_hip.cpp.o 2025-08-14T21:39:09.1229777Z [224/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_rowwise_adagrad_with_weight_decay_pt2_cuda_wrapper.cpp.o 2025-08-14T21:39:09.1283643Z [224/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_split_adam_cpu_hip.cpp.o 2025-08-14T21:39:09.1284389Z [225/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_dense_unweighted_nobag_kernel_small.hip.o 2025-08-14T21:39:09.2381283Z [225/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_split_lamb_cpu_hip.cpp.o 2025-08-14T21:39:09.2382066Z [226/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_inference.dir/fbgemm_gpu_tbe_inference_generated_gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_int4_codegen_hip.hip.o 2025-08-14T21:39:10.4145719Z [226/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_split_lars_sgd_cpu_hip.cpp.o 2025-08-14T21:39:10.4146404Z [227/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_ssd_unweighted_nobag_kernel_small.hip.o 2025-08-14T21:39:10.4181849Z [227/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_split_partial_rowwise_adam_cpu_hip.cpp.o 2025-08-14T21:39:10.4182535Z [228/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_weighted_gwd_codegen_hip.hip.o 2025-08-14T21:39:10.4195398Z [228/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_split_partial_rowwise_lamb_cpu_hip.cpp.o 2025-08-14T21:39:10.4201644Z [229/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_rowwise_weighted_adagrad_pt2_cuda_wrapper.cpp.o 2025-08-14T21:39:10.4204858Z [229/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_split_none_cpu_hip.cpp.o 2025-08-14T21:39:10.4206118Z [230/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_unweighted_nobag_kernel_small.hip.o 2025-08-14T21:39:10.5877786Z [230/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_split_approx_sgd_cpu_hip.cpp.o 2025-08-14T21:39:10.5878468Z [231/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_ssd_weighted_vbe_codegen_hip.hip.o 2025-08-14T21:39:10.8017296Z [231/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_split_rowwise_adagrad_with_counter_cpu_hip.cpp.o 2025-08-14T21:39:10.8018564Z [232/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_unweighted_gwd_codegen_hip.hip.o 2025-08-14T21:39:10.8070083Z [232/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_split_approx_rowwise_adagrad_cpu_hip.cpp.o 2025-08-14T21:39:10.8071672Z [233/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_adagrad_split_weighted_kernel_warp.hip.o 2025-08-14T21:39:11.7385543Z [233/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_split_approx_rowwise_adagrad_with_weight_decay_cpu_hip.cpp.o 2025-08-14T21:39:11.7386404Z [234/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_weighted_vbe_codegen_hip.hip.o 2025-08-14T21:39:12.3828685Z [234/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_split_approx_rowwise_adagrad_with_counter_cpu_hip.cpp.o 2025-08-14T21:39:12.3829601Z [235/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_inference.dir/fbgemm_gpu_tbe_inference_generated_gen_embedding_forward_quantized_split_nbit_kernel_weighted_int4_codegen_hip.hip.o 2025-08-14T21:39:13.8233389Z [235/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_adagrad_split_cpu_hip.cpp.o 2025-08-14T21:39:13.8234080Z [236/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_unweighted_vbe_codegen_hip.hip.o 2025-08-14T21:39:14.4372438Z [236/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_split_rowwise_adagrad_with_weight_decay_cpu_hip.cpp.o 2025-08-14T21:39:14.4373505Z [237/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_weighted_vbe_gwd_codegen_hip.hip.o 2025-08-14T21:39:14.6212275Z [237/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_split_rowwise_weighted_adagrad_cpu_hip.cpp.o 2025-08-14T21:39:14.6213746Z [238/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_ssd_weighted_codegen_hip.hip.o 2025-08-14T21:39:15.2528388Z [238/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp.o 2025-08-14T21:39:15.2529487Z [239/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_adagrad_split_weighted_kernel_cta.hip.o 2025-08-14T21:39:15.3504340Z [239/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_sgd_split_cpu_hip.cpp.o 2025-08-14T21:39:15.3505441Z [240/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_unweighted_codegen_hip.hip.o 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CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_dense_indice_weights_codegen_hip.hip.o 2025-08-14T21:39:15.6262275Z [243/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_inference.dir/fbgemm_gpu_tbe_inference_generated_gen_embedding_forward_quantized_split_nbit_kernel_unweighted_int8_codegen_hip.hip.o 2025-08-14T21:39:16.7776218Z [243/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_ssd_indice_weights_codegen_hip.hip.o 2025-08-14T21:39:16.7777354Z [244/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_ssd_unweighted_vbe_codegen_hip.hip.o 2025-08-14T21:39:16.8088120Z [244/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_rowwise_adagrad_ssd_weighted_hip.hip.o 2025-08-14T21:39:16.8094327Z [245/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_split_approx_sgd_pt2_autograd_hip.cpp.o 2025-08-14T21:39:16.8104854Z [245/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_rowwise_adagrad_ssd_unweighted_hip.hip.o 2025-08-14T21:39:16.8105522Z [246/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_split_approx_rowwise_adagrad_pt2_autograd_hip.cpp.o 2025-08-14T21:39:16.9248824Z [246/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_rowwise_adagrad_ssd_weighted_kernel_cta.hip.o 2025-08-14T21:39:16.9249765Z [247/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_split_lars_sgd_pt2_autograd_hip.cpp.o 2025-08-14T21:39:17.1567316Z [247/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_rowwise_adagrad_ssd_weighted_kernel_warp.hip.o 2025-08-14T21:39:17.1567994Z [248/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_split_adagrad_pt2_autograd_hip.cpp.o 2025-08-14T21:39:17.1579053Z [248/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_rowwise_adagrad_ssd_unweighted_nobag_hip.hip.o 2025-08-14T21:39:17.1579690Z [249/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_split_lamb_pt2_autograd_hip.cpp.o 2025-08-14T21:39:18.2188298Z [249/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_rowwise_adagrad_ssd_unweighted_nobag_kernel_cta.hip.o 2025-08-14T21:39:18.2189425Z [250/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_split_rowwise_adagrad_with_weight_decay_pt2_autograd_hip.cpp.o 2025-08-14T21:39:18.4643237Z [250/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_rowwise_adagrad_ssd_unweighted_nobag_kernel_warp.hip.o 2025-08-14T21:39:18.4644613Z [251/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_inference.dir/fbgemm_gpu_tbe_inference_generated_gen_embedding_forward_quantized_split_nbit_kernel_weighted_int8_codegen_hip.hip.o 2025-08-14T21:39:18.4711856Z [251/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_adagrad_split_weighted_hip.hip.o 2025-08-14T21:39:18.4713267Z [252/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_split_approx_rowwise_adagrad_with_counter_pt2_autograd_hip.cpp.o 2025-08-14T21:39:18.4731608Z [252/612] Building HIPCC object 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CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_adagrad_split_unweighted_nobag_kernel_cta.hip.o 2025-08-14T21:39:20.4223767Z [257/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_split_none_pt2_autograd_hip.cpp.o 2025-08-14T21:39:20.8814178Z [257/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_adagrad_split_unweighted_nobag_kernel_warp.hip.o 2025-08-14T21:39:20.8814897Z [258/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_adagrad_pt2_cpu_wrapper_hip.cpp.o 2025-08-14T21:39:21.4087593Z [258/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_adagrad_split_unweighted_kernel_cta.hip.o 2025-08-14T21:39:21.4089416Z [259/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_split_adam_pt2_autograd_hip.cpp.o 2025-08-14T21:39:21.5433623Z [259/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_adagrad_split_unweighted_kernel_warp.hip.o 2025-08-14T21:39:21.5434350Z [260/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_split_partial_rowwise_lamb_pt2_autograd_hip.cpp.o 2025-08-14T21:39:21.9688968Z [260/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_rowwise_adagrad_split_weighted_hip.hip.o 2025-08-14T21:39:21.9697866Z [261/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_weighted_v2_kernel.hip.o 2025-08-14T21:39:21.9944565Z [261/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_rowwise_adagrad_split_unweighted_hip.hip.o 2025-08-14T21:39:21.9945805Z [262/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_sgd_pt2_cpu_wrapper_hip.cpp.o 2025-08-14T21:39:23.1060462Z [262/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_rowwise_adagrad_split_weighted_kernel_cta.hip.o 2025-08-14T21:39:23.1061228Z [263/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_split_rowwise_adagrad_pt2_autograd_hip.cpp.o 2025-08-14T21:39:23.6915671Z [263/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_rowwise_adagrad_split_weighted_kernel_warp.hip.o 2025-08-14T21:39:23.6916981Z [264/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_rowwise_adagrad_pt2_cpu_wrapper_hip.cpp.o 2025-08-14T21:39:24.6622893Z [264/612] Building HIPCC object 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/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build && bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../.github/scripts/fbgemm_gpu_postbuild.bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_tbe_inference.so 1 2025-08-14T21:39:25.8000355Z ################################################################################ 2025-08-14T21:39:25.8000773Z [CMAKE] Running post-build script ... 2025-08-14T21:39:25.8007952Z Target file: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_tbe_inference.so 2025-08-14T21:39:25.8008554Z Resetting RPATH to $ORIGIN ... 2025-08-14T21:39:25.8008723Z 0x000000000000000f (RPATH) Library rpath: [$ORIGIN] 2025-08-14T21:39:25.8008902Z ################################################################################ 2025-08-14T21:39:25.8009003Z 2025-08-14T21:39:25.9053883Z [267/612] Building HIPCC object 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CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_lamb_pt2_hip_wrapper.cpp.o 2025-08-14T21:39:33.1642329Z [280/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_adam_split_weighted_hip.hip.o 2025-08-14T21:39:33.1648578Z [281/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_dense_unweighted_vbe_kernel.hip.o 2025-08-14T21:39:34.1221766Z [281/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_adam_split_weighted_kernel_cta.hip.o 2025-08-14T21:39:34.1222442Z [282/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_dense_split_cpu_hip.cpp.o 2025-08-14T21:39:34.1223411Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:34.1224157Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:34.1224318Z | ^ 2025-08-14T21:39:34.1224688Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:34.1225221Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:34.1225533Z 123 | const auto D = 2025-08-14T21:39:34.1231393Z | ^ 2025-08-14T21:39:34.1231930Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_cpu_hip.cpp:351:31: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:34.1232359Z 351 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:34.1232502Z | ^~~~~ 2025-08-14T21:39:34.1233139Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_cpu_hip.cpp:351:31: note: read of non-const variable 'T' is not allowed in a constant expression 2025-08-14T21:39:34.1233900Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_cpu_hip.cpp:339:11: note: declared here 2025-08-14T21:39:34.1234220Z 339 | int64_t T = D_offsets.numel() - 1; 2025-08-14T21:39:34.1234350Z | ^ 2025-08-14T21:39:34.1234471Z 2 warnings generated when compiling for gfx90a. 2025-08-14T21:39:34.1234878Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:34.1235420Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:34.1235578Z | ^ 2025-08-14T21:39:34.1235939Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:34.1236465Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:34.1239984Z 123 | const auto D = 2025-08-14T21:39:34.1240111Z | ^ 2025-08-14T21:39:34.1240494Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_cpu_hip.cpp:351:31: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:34.1240907Z 351 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:34.1241042Z | ^~~~~ 2025-08-14T21:39:34.1241429Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_cpu_hip.cpp:351:31: note: read of non-const variable 'T' is not allowed in a constant expression 2025-08-14T21:39:34.1241984Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_cpu_hip.cpp:339:11: note: declared here 2025-08-14T21:39:34.1242298Z 339 | int64_t T = D_offsets.numel() - 1; 2025-08-14T21:39:34.1242425Z | ^ 2025-08-14T21:39:34.1242544Z 2 warnings generated when compiling for gfx942. 2025-08-14T21:39:34.1245208Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:34.1245778Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:34.1245936Z | ^ 2025-08-14T21:39:34.1246294Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:34.1246826Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:34.1247129Z 123 | const auto D = 2025-08-14T21:39:34.1247238Z | ^ 2025-08-14T21:39:34.1247640Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_cpu_hip.cpp:351:31: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:34.1248031Z 351 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:34.1248232Z | ^~~~~ 2025-08-14T21:39:34.1248621Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_cpu_hip.cpp:351:31: note: read of non-const variable 'T' is not allowed in a constant expression 2025-08-14T21:39:34.1250604Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_cpu_hip.cpp:339:11: note: declared here 2025-08-14T21:39:34.1250927Z 339 | int64_t T = D_offsets.numel() - 1; 2025-08-14T21:39:34.1251052Z | ^ 2025-08-14T21:39:34.1251312Z 2 warnings generated when compiling for host. 2025-08-14T21:39:34.1251410Z 2025-08-14T21:39:34.1251883Z [282/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_adam_split_weighted_kernel_warp.hip.o 2025-08-14T21:39:34.1252526Z [283/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_partial_rowwise_adam_pt2_hip_wrapper.cpp.o 2025-08-14T21:39:34.2135606Z [283/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_adam_split_unweighted_nobag_hip.hip.o 2025-08-14T21:39:34.2136324Z [284/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_none_split_unweighted_hip.hip.o 2025-08-14T21:39:34.4641714Z [284/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_adam_split_unweighted_hip.hip.o 2025-08-14T21:39:34.4642497Z [285/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/codegen/training/backward/fbgemm_gpu_tbe_training_backward_generated_embedding_backward_dense_host_cpu_hip.cpp.o 2025-08-14T21:39:34.5646628Z [285/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_adam_split_unweighted_nobag_kernel_cta.hip.o 2025-08-14T21:39:34.5647327Z [286/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_split_lamb_cpu_hip.cpp.o 2025-08-14T21:39:34.5660884Z [286/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_adam_split_unweighted_nobag_kernel_warp.hip.o 2025-08-14T21:39:34.5661515Z [287/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_split_approx_sgd_cpu_hip.cpp.o 2025-08-14T21:39:34.5670896Z [287/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_adam_split_unweighted_kernel_cta.hip.o 2025-08-14T21:39:34.5671788Z [288/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_rowwise_adagrad_pt2_hip_wrapper.cpp.o 2025-08-14T21:39:34.7745734Z [288/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_adam_split_unweighted_kernel_warp.hip.o 2025-08-14T21:39:34.7746844Z [289/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_split_lars_sgd_cpu_hip.cpp.o 2025-08-14T21:39:34.8535073Z [289/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_lamb_split_weighted_hip.hip.o 2025-08-14T21:39:34.8536518Z [290/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_partial_rowwise_lamb_pt2_hip_wrapper.cpp.o 2025-08-14T21:39:35.0332079Z [290/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_lamb_split_weighted_kernel_cta.hip.o 2025-08-14T21:39:35.0334210Z [291/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_split_grad_embedding_ops.hip.o 2025-08-14T21:39:35.0335527Z [291/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_lamb_split_weighted_kernel_warp.hip.o 2025-08-14T21:39:35.0336853Z [292/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_split_partial_rowwise_lamb_cpu_hip.cpp.o 2025-08-14T21:39:35.0499912Z [292/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_lamb_split_unweighted_nobag_hip.hip.o 2025-08-14T21:39:35.0501908Z [293/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_split_adam_cpu_hip.cpp.o 2025-08-14T21:39:35.2024636Z [293/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_lamb_split_unweighted_hip.hip.o 2025-08-14T21:39:35.2025938Z [294/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_ssd_rowwise_adagrad_pt2_hip_wrapper.cpp.o 2025-08-14T21:39:35.8219130Z [294/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_lamb_split_unweighted_nobag_kernel_cta.hip.o 2025-08-14T21:39:35.8220324Z [295/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_split_none_cpu_hip.cpp.o 2025-08-14T21:39:35.8254677Z [295/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_lamb_split_unweighted_nobag_kernel_warp.hip.o 2025-08-14T21:39:35.8256938Z [296/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_split_partial_rowwise_adam_cpu_hip.cpp.o 2025-08-14T21:39:36.1143992Z [296/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_lamb_split_unweighted_kernel_cta.hip.o 2025-08-14T21:39:36.1206447Z [297/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_split_approx_rowwise_adagrad_cpu_hip.cpp.o 2025-08-14T21:39:36.1207493Z [297/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_lamb_split_unweighted_kernel_warp.hip.o 2025-08-14T21:39:36.1215320Z [298/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_split_approx_rowwise_adagrad_with_weight_decay_cpu_hip.cpp.o 2025-08-14T21:39:36.1750922Z [298/612] Building HIPCC object 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CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_lars_sgd_split_weighted_kernel_warp.hip.o 2025-08-14T21:39:37.2493894Z [301/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_split_adagrad_cpu_hip.cpp.o 2025-08-14T21:39:37.2593349Z [301/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_lars_sgd_split_unweighted_nobag_hip.hip.o 2025-08-14T21:39:37.2595089Z [302/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_split_rowwise_adagrad_with_weight_decay_cpu_hip.cpp.o 2025-08-14T21:39:37.2630091Z [302/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_lars_sgd_split_unweighted_hip.hip.o 2025-08-14T21:39:37.2631160Z [303/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_split_sgd_cpu_hip.cpp.o 2025-08-14T21:39:37.9964436Z [303/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_lars_sgd_split_unweighted_nobag_kernel_cta.hip.o 2025-08-14T21:39:37.9965167Z [304/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_adam_pt2_hip_wrapper.cpp.o 2025-08-14T21:39:38.0775093Z [304/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_lars_sgd_split_unweighted_nobag_kernel_warp.hip.o 2025-08-14T21:39:38.0776284Z [305/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_split_rowwise_adagrad_cpu_hip.cpp.o 2025-08-14T21:39:39.2131579Z [305/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_lars_sgd_split_unweighted_kernel_cta.hip.o 2025-08-14T21:39:39.2133673Z [306/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_adagrad_split_cpu_hip.cpp.o 2025-08-14T21:39:39.2134847Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:39.2135934Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2136198Z | ^ 2025-08-14T21:39:39.2136802Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:39.2137724Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:39.2138234Z 125 | const auto D = 2025-08-14T21:39:39.2138412Z | ^ 2025-08-14T21:39:39.2139040Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:370:31: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:39.2139749Z 370 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:39.2139966Z | ^~~~~ 2025-08-14T21:39:39.2140588Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:370:31: note: read of non-const variable 'T' is not allowed in a constant expression 2025-08-14T21:39:39.2141712Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:358:11: note: declared here 2025-08-14T21:39:39.2142232Z 358 | int64_t T = weights_offsets.size(0); 2025-08-14T21:39:39.2142440Z | ^ 2025-08-14T21:39:39.2143248Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:472:31: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:39.2143928Z 472 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:39.2144312Z | ^~~~~ 2025-08-14T21:39:39.2144931Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:472:31: note: read of non-const variable 'T' is not allowed in a constant expression 2025-08-14T21:39:39.2145869Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:458:11: note: declared here 2025-08-14T21:39:39.2146382Z 458 | int64_t T = D_offsets.numel() - 1; 2025-08-14T21:39:39.2146586Z | ^ 2025-08-14T21:39:39.2147182Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:39.2147892Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2148132Z | ^ 2025-08-14T21:39:39.2149039Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:39.2156776Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:39.2157067Z | ^ 2025-08-14T21:39:39.2157625Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:39.2158229Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2158460Z | ^ 2025-08-14T21:39:39.2159202Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:39.2159748Z 125 | const auto D = 2025-08-14T21:39:39.2159927Z | ^ 2025-08-14T21:39:39.2160585Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:39.2161298Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2161521Z | ^ 2025-08-14T21:39:39.2162363Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:39.2163470Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:39.2163764Z | ^ 2025-08-14T21:39:39.2164271Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:39.2164983Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2165210Z | ^ 2025-08-14T21:39:39.2165722Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:39.2166229Z 125 | const auto D = 2025-08-14T21:39:39.2166402Z | ^ 2025-08-14T21:39:39.2167018Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:39.2167822Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2168050Z | ^ 2025-08-14T21:39:39.2168893Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:39.2169845Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:39.2170142Z | ^ 2025-08-14T21:39:39.2170692Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:39.2171446Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2171684Z | ^ 2025-08-14T21:39:39.2172216Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:39.2172872Z 125 | const auto D = 2025-08-14T21:39:39.2173044Z | ^ 2025-08-14T21:39:39.2173678Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:39.2174345Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2174580Z | ^ 2025-08-14T21:39:39.2175501Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:39.2176604Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:39.2176902Z | ^ 2025-08-14T21:39:39.2177460Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:39.2178083Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2178319Z | ^ 2025-08-14T21:39:39.2178825Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:39.2179336Z 125 | const auto D = 2025-08-14T21:39:39.2179504Z | ^ 2025-08-14T21:39:39.2180084Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:39.2180754Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2181118Z | ^ 2025-08-14T21:39:39.2181963Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:39.2183104Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:39.2183411Z | ^ 2025-08-14T21:39:39.2183947Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:39.2184704Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2184929Z | ^ 2025-08-14T21:39:39.2185451Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:39.2190363Z 125 | const auto D = 2025-08-14T21:39:39.2190570Z | ^ 2025-08-14T21:39:39.2191219Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:39.2191912Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2192144Z | ^ 2025-08-14T21:39:39.2193227Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:39.2194254Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:39.2194543Z | ^ 2025-08-14T21:39:39.2195104Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:39.2195731Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2195966Z | ^ 2025-08-14T21:39:39.2199385Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:39.2200098Z 125 | const auto D = 2025-08-14T21:39:39.2200273Z | ^ 2025-08-14T21:39:39.2200878Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:39.2201528Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2201749Z | ^ 2025-08-14T21:39:39.2202585Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:39.2203679Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:39.2203969Z | ^ 2025-08-14T21:39:39.2204520Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:39.2205296Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2208364Z | ^ 2025-08-14T21:39:39.2208927Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:39.2209446Z 125 | const auto D = 2025-08-14T21:39:39.2209619Z | ^ 2025-08-14T21:39:39.2210246Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:39.2210905Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2211284Z | ^ 2025-08-14T21:39:39.2212366Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:39.2213489Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:39.2213762Z | ^ 2025-08-14T21:39:39.2214306Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:39.2217644Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2217885Z | ^ 2025-08-14T21:39:39.2218408Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:39.2218924Z 125 | const auto D = 2025-08-14T21:39:39.2219092Z | ^ 2025-08-14T21:39:39.2219282Z 11 warnings generated when compiling for gfx90a. 2025-08-14T21:39:39.2219996Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:39.2220709Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2220943Z | ^ 2025-08-14T21:39:39.2221548Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:39.2222633Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:39.2226446Z 125 | const auto D = 2025-08-14T21:39:39.2226627Z | ^ 2025-08-14T21:39:39.2227285Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:370:31: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:39.2227946Z 370 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:39.2228161Z | ^~~~~ 2025-08-14T21:39:39.2228871Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:370:31: note: read of non-const variable 'T' is not allowed in a constant expression 2025-08-14T21:39:39.2229803Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:358:11: note: declared here 2025-08-14T21:39:39.2230327Z 358 | int64_t T = weights_offsets.size(0); 2025-08-14T21:39:39.2230521Z | ^ 2025-08-14T21:39:39.2231098Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:472:31: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:39.2234762Z 472 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:39.2234984Z | ^~~~~ 2025-08-14T21:39:39.2235610Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:472:31: note: read of non-const variable 'T' is not allowed in a constant expression 2025-08-14T21:39:39.2236513Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:458:11: note: declared here 2025-08-14T21:39:39.2237036Z 458 | int64_t T = D_offsets.numel() - 1; 2025-08-14T21:39:39.2237229Z | ^ 2025-08-14T21:39:39.2237951Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:39.2238608Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2238840Z | ^ 2025-08-14T21:39:39.2239609Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:39.2240549Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:39.2243821Z | ^ 2025-08-14T21:39:39.2244412Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:39.2245040Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2245269Z | ^ 2025-08-14T21:39:39.2245801Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:39.2246330Z 125 | const auto D = 2025-08-14T21:39:39.2246501Z | ^ 2025-08-14T21:39:39.2247141Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:39.2247834Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2248187Z | ^ 2025-08-14T21:39:39.2249073Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:39.2252664Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:39.2253130Z | ^ 2025-08-14T21:39:39.2253676Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:39.2254285Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2254514Z | ^ 2025-08-14T21:39:39.2255038Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:39.2255553Z 125 | const auto D = 2025-08-14T21:39:39.2255722Z | ^ 2025-08-14T21:39:39.2256460Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:39.2257119Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2257344Z | ^ 2025-08-14T21:39:39.2258152Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:39.2261627Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:39.2262092Z | ^ 2025-08-14T21:39:39.2262646Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:39.2263401Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2263629Z | ^ 2025-08-14T21:39:39.2264142Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:39.2264642Z 125 | const auto D = 2025-08-14T21:39:39.2264813Z | ^ 2025-08-14T21:39:39.2265461Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:39.2266152Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2266380Z | ^ 2025-08-14T21:39:39.2269906Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:39.2270898Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:39.2271192Z | ^ 2025-08-14T21:39:39.2271753Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:39.2272350Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2272851Z | ^ 2025-08-14T21:39:39.2273363Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:39.2273842Z 125 | const auto D = 2025-08-14T21:39:39.2274007Z | ^ 2025-08-14T21:39:39.2274623Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:39.2275285Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2278017Z | ^ 2025-08-14T21:39:39.2278868Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:39.2279817Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:39.2280233Z | ^ 2025-08-14T21:39:39.2280760Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:39.2281376Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2281606Z | ^ 2025-08-14T21:39:39.2282136Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:39.2282649Z 125 | const auto D = 2025-08-14T21:39:39.2282973Z | ^ 2025-08-14T21:39:39.2286300Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:39.2287036Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2287268Z | ^ 2025-08-14T21:39:39.2288143Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:39.2289069Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:39.2289347Z | ^ 2025-08-14T21:39:39.2289880Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:39.2290489Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2290706Z | ^ 2025-08-14T21:39:39.2291356Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:39.2291876Z 125 | const auto D = 2025-08-14T21:39:39.2294606Z | ^ 2025-08-14T21:39:39.2295234Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:39.2295899Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2296127Z | ^ 2025-08-14T21:39:39.2297111Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:39.2298045Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:39.2298326Z | ^ 2025-08-14T21:39:39.2298882Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:39.2299501Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2299728Z | ^ 2025-08-14T21:39:39.2300239Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:39.2303515Z 125 | const auto D = 2025-08-14T21:39:39.2303694Z | ^ 2025-08-14T21:39:39.2304332Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:39.2305174Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2305405Z | ^ 2025-08-14T21:39:39.2306279Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:39.2307215Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:39.2307498Z | ^ 2025-08-14T21:39:39.2308132Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:39.2308741Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2308959Z | ^ 2025-08-14T21:39:39.2311795Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:39.2312293Z 125 | const auto D = 2025-08-14T21:39:39.2312456Z | ^ 2025-08-14T21:39:39.2312632Z 11 warnings generated when compiling for gfx942. 2025-08-14T21:39:39.2313378Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:39.2314036Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2314251Z | ^ 2025-08-14T21:39:39.2314803Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:39.2315648Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:39.2316138Z 125 | const auto D = 2025-08-14T21:39:39.2316301Z | ^ 2025-08-14T21:39:39.2319200Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:370:31: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:39.2319890Z 370 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:39.2320236Z | ^~~~~ 2025-08-14T21:39:39.2320866Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:370:31: note: read of non-const variable 'T' is not allowed in a constant expression 2025-08-14T21:39:39.2321736Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:358:11: note: declared here 2025-08-14T21:39:39.2322218Z 358 | int64_t T = weights_offsets.size(0); 2025-08-14T21:39:39.2322412Z | ^ 2025-08-14T21:39:39.2330407Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:472:31: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:39.2331073Z 472 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:39.2331427Z | ^~~~~ 2025-08-14T21:39:39.2334762Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:472:31: note: read of non-const variable 'T' is not allowed in a constant expression 2025-08-14T21:39:39.2335865Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:458:11: note: declared here 2025-08-14T21:39:39.2336411Z 458 | int64_t T = D_offsets.numel() - 1; 2025-08-14T21:39:39.2336614Z | ^ 2025-08-14T21:39:39.2337212Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:39.2337890Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2338122Z | ^ 2025-08-14T21:39:39.2339117Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:39.2340064Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:39.2340342Z | ^ 2025-08-14T21:39:39.2340903Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:39.2344246Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2344510Z | ^ 2025-08-14T21:39:39.2345019Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:39.2345495Z 125 | const auto D = 2025-08-14T21:39:39.2345654Z | ^ 2025-08-14T21:39:39.2346261Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:39.2346932Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2347146Z | ^ 2025-08-14T21:39:39.2348039Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:39.2349061Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:39.2349448Z | ^ 2025-08-14T21:39:39.2352404Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:39.2353136Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2353342Z | ^ 2025-08-14T21:39:39.2353815Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:39.2354293Z 125 | const auto D = 2025-08-14T21:39:39.2354459Z | ^ 2025-08-14T21:39:39.2355070Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:39.2355736Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2355961Z | ^ 2025-08-14T21:39:39.2356820Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:39.2357878Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:39.2360640Z | ^ 2025-08-14T21:39:39.2361190Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:39.2361796Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2362022Z | ^ 2025-08-14T21:39:39.2362661Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:39.2363307Z 125 | const auto D = 2025-08-14T21:39:39.2363468Z | ^ 2025-08-14T21:39:39.2364043Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:39.2364692Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2364910Z | ^ 2025-08-14T21:39:39.2365694Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:39.2369024Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:39.2369304Z | ^ 2025-08-14T21:39:39.2369841Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:39.2370469Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2370691Z | ^ 2025-08-14T21:39:39.2371322Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:39.2371804Z 125 | const auto D = 2025-08-14T21:39:39.2371965Z | ^ 2025-08-14T21:39:39.2372567Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:39.2373467Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2373688Z | ^ 2025-08-14T21:39:39.2376942Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:39.2377820Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:39.2378081Z | ^ 2025-08-14T21:39:39.2378598Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:39.2379155Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2379354Z | ^ 2025-08-14T21:39:39.2379829Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:39.2380412Z 125 | const auto D = 2025-08-14T21:39:39.2380572Z | ^ 2025-08-14T21:39:39.2381147Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:39.2384401Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2384668Z | ^ 2025-08-14T21:39:39.2385686Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:39.2386632Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:39.2386911Z | ^ 2025-08-14T21:39:39.2387457Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:39.2388064Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2388285Z | ^ 2025-08-14T21:39:39.2388786Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:39.2389296Z 125 | const auto D = 2025-08-14T21:39:39.2389460Z | ^ 2025-08-14T21:39:39.2392491Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:39.2393290Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2393505Z | ^ 2025-08-14T21:39:39.2394325Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:39.2395204Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:39.2395467Z | ^ 2025-08-14T21:39:39.2396002Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:39.2396788Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2397014Z | ^ 2025-08-14T21:39:39.2397535Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:39.2398055Z 125 | const auto D = 2025-08-14T21:39:39.2400458Z | ^ 2025-08-14T21:39:39.2401065Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:39.2401673Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2401883Z | ^ 2025-08-14T21:39:39.2402823Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:39.2403748Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:39.2404026Z | ^ 2025-08-14T21:39:39.2404542Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:39.2405139Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:39.2405362Z | ^ 2025-08-14T21:39:39.2405864Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:39.2408722Z 125 | const auto D = 2025-08-14T21:39:39.2409016Z | ^ 2025-08-14T21:39:39.2409206Z 11 warnings generated when compiling for host. 2025-08-14T21:39:39.2409364Z 2025-08-14T21:39:39.2410231Z [306/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_partial_rowwise_adam_split_unweighted_nobag_kernel_cta.hip.o 2025-08-14T21:39:39.2411542Z [307/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_split_rowwise_weighted_adagrad_cpu_hip.cpp.o 2025-08-14T21:39:39.9541071Z [307/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_lars_sgd_split_unweighted_kernel_warp.hip.o 2025-08-14T21:39:39.9541753Z [308/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_unweighted_kernel.hip.o 2025-08-14T21:39:40.1399793Z [308/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_partial_rowwise_adam_split_weighted_hip.hip.o 2025-08-14T21:39:40.1400888Z [309/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_weighted_kernel.hip.o 2025-08-14T21:39:41.0313342Z [309/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_partial_rowwise_adam_split_weighted_kernel_cta.hip.o 2025-08-14T21:39:41.0314402Z [310/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp.o 2025-08-14T21:39:41.0315970Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0323563Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0323810Z | ^~~~~~~~~~~ 2025-08-14T21:39:41.0324216Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0324612Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0324761Z | ^ 2025-08-14T21:39:41.0325098Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0325432Z 125 | const auto D = 2025-08-14T21:39:41.0325546Z | ^ 2025-08-14T21:39:41.0325947Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0326536Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0326687Z | ^ 2025-08-14T21:39:41.0327063Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0327637Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0327965Z 125 | const auto D = 2025-08-14T21:39:41.0328079Z | ^ 2025-08-14T21:39:41.0328586Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:487:31: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0329006Z 487 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:41.0329145Z | ^~~~~ 2025-08-14T21:39:41.0329544Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:487:31: note: read of non-const variable 'T' is not allowed in a constant expression 2025-08-14T21:39:41.0330136Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:475:11: note: declared here 2025-08-14T21:39:41.0330474Z 475 | int64_t T = weights_offsets.size(0); 2025-08-14T21:39:41.0330604Z | ^ 2025-08-14T21:39:41.0330990Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:589:31: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0331565Z 589 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:41.0331701Z | ^~~~~ 2025-08-14T21:39:41.0332097Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:589:31: note: read of non-const variable 'T' is not allowed in a constant expression 2025-08-14T21:39:41.0332687Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:575:11: note: declared here 2025-08-14T21:39:41.0333285Z 575 | int64_t T = D_offsets.numel() - 1; 2025-08-14T21:39:41.0333414Z | ^ 2025-08-14T21:39:41.0333802Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0334276Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0334426Z | ^~~~~~~~~~~ 2025-08-14T21:39:41.0334802Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:41.0335237Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:41.0335436Z | ^ 2025-08-14T21:39:41.0335981Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0336559Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0336774Z | ^ 2025-08-14T21:39:41.0337116Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0337500Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0337646Z | ^ 2025-08-14T21:39:41.0337972Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0338292Z 125 | const auto D = 2025-08-14T21:39:41.0338402Z | ^ 2025-08-14T21:39:41.0338848Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0339279Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0339429Z | ^ 2025-08-14T21:39:41.0339962Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0340542Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0340724Z | ^ 2025-08-14T21:39:41.0341072Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0341464Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0341614Z | ^ 2025-08-14T21:39:41.0341945Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0342274Z 125 | const auto D = 2025-08-14T21:39:41.0342384Z | ^ 2025-08-14T21:39:41.0342929Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0343410Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0343559Z | ^~~~~~~~~~~ 2025-08-14T21:39:41.0343974Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:41.0344405Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:41.0344603Z | ^ 2025-08-14T21:39:41.0345154Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0349113Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0349303Z | ^ 2025-08-14T21:39:41.0349819Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0350211Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0350406Z | ^ 2025-08-14T21:39:41.0350736Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0351059Z 125 | const auto D = 2025-08-14T21:39:41.0351168Z | ^ 2025-08-14T21:39:41.0351554Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0351979Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0352127Z | ^ 2025-08-14T21:39:41.0352796Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0353433Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0353641Z | ^ 2025-08-14T21:39:41.0353977Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0354356Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0354497Z | ^ 2025-08-14T21:39:41.0354824Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0355143Z 125 | const auto D = 2025-08-14T21:39:41.0355248Z | ^ 2025-08-14T21:39:41.0355630Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0356043Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0356182Z | ^~~~~~~~~~~ 2025-08-14T21:39:41.0356549Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:41.0356968Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:41.0357199Z | ^ 2025-08-14T21:39:41.0357735Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0358303Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0358475Z | ^ 2025-08-14T21:39:41.0358811Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0359189Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0359329Z | ^ 2025-08-14T21:39:41.0359654Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0359997Z 125 | const auto D = 2025-08-14T21:39:41.0360104Z | ^ 2025-08-14T21:39:41.0360539Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0360957Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0361099Z | ^ 2025-08-14T21:39:41.0361621Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0362241Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0362413Z | ^ 2025-08-14T21:39:41.0362850Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0363227Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0363367Z | ^ 2025-08-14T21:39:41.0363689Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0364007Z 125 | const auto D = 2025-08-14T21:39:41.0364113Z | ^ 2025-08-14T21:39:41.0364499Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0364916Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0365058Z | ^~~~~~~~~~~ 2025-08-14T21:39:41.0365432Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:41.0365858Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:41.0366053Z | ^ 2025-08-14T21:39:41.0366598Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0367211Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0367389Z | ^ 2025-08-14T21:39:41.0367728Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0368107Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0368251Z | ^ 2025-08-14T21:39:41.0368573Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0368895Z 125 | const auto D = 2025-08-14T21:39:41.0369002Z | ^ 2025-08-14T21:39:41.0369390Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0369827Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0369974Z | ^ 2025-08-14T21:39:41.0372943Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0373604Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0373866Z | ^ 2025-08-14T21:39:41.0374281Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0374662Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0374805Z | ^ 2025-08-14T21:39:41.0375126Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0375443Z 125 | const auto D = 2025-08-14T21:39:41.0375548Z | ^ 2025-08-14T21:39:41.0375933Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0376349Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0379161Z | ^~~~~~~~~~~ 2025-08-14T21:39:41.0379546Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:41.0379972Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:41.0380164Z | ^ 2025-08-14T21:39:41.0380698Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0381265Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0381438Z | ^ 2025-08-14T21:39:41.0381816Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0382192Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0382334Z | ^ 2025-08-14T21:39:41.0384129Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0384463Z 125 | const auto D = 2025-08-14T21:39:41.0384571Z | ^ 2025-08-14T21:39:41.0384957Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0385374Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0385517Z | ^ 2025-08-14T21:39:41.0386037Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0386647Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0386816Z | ^ 2025-08-14T21:39:41.0387152Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0387528Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0388789Z | ^ 2025-08-14T21:39:41.0389165Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0389489Z 125 | const auto D = 2025-08-14T21:39:41.0389595Z | ^ 2025-08-14T21:39:41.0389977Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0390390Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0390528Z | ^~~~~~~~~~~ 2025-08-14T21:39:41.0390891Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:41.0391312Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:41.0391504Z | ^ 2025-08-14T21:39:41.0392039Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0393869Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0394043Z | ^ 2025-08-14T21:39:41.0394378Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0394753Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0394938Z | ^ 2025-08-14T21:39:41.0395257Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0395574Z 125 | const auto D = 2025-08-14T21:39:41.0395678Z | ^ 2025-08-14T21:39:41.0396062Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0396477Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0396615Z | ^ 2025-08-14T21:39:41.0398214Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0398787Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0398953Z | ^ 2025-08-14T21:39:41.0399325Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0399698Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0399882Z | ^ 2025-08-14T21:39:41.0400229Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0400544Z 125 | const auto D = 2025-08-14T21:39:41.0400646Z | ^ 2025-08-14T21:39:41.0401096Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0401509Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0402929Z | ^~~~~~~~~~~ 2025-08-14T21:39:41.0403298Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:41.0403713Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:41.0403900Z | ^ 2025-08-14T21:39:41.0404433Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0404996Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0405164Z | ^ 2025-08-14T21:39:41.0405495Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0405871Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0406009Z | ^ 2025-08-14T21:39:41.0407402Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0407720Z 125 | const auto D = 2025-08-14T21:39:41.0407868Z | ^ 2025-08-14T21:39:41.0408249Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0408663Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0408799Z | ^ 2025-08-14T21:39:41.0409316Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0409875Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0410040Z | ^ 2025-08-14T21:39:41.0410373Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0410747Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0412122Z | ^ 2025-08-14T21:39:41.0412446Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0412865Z 125 | const auto D = 2025-08-14T21:39:41.0412968Z | ^ 2025-08-14T21:39:41.0413344Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0413752Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0413890Z | ^~~~~~~~~~~ 2025-08-14T21:39:41.0414323Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:41.0414737Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:41.0414921Z | ^ 2025-08-14T21:39:41.0415458Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0417101Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0417273Z | ^ 2025-08-14T21:39:41.0417607Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0417979Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0418116Z | ^ 2025-08-14T21:39:41.0418431Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0418742Z 125 | const auto D = 2025-08-14T21:39:41.0418843Z | ^ 2025-08-14T21:39:41.0419217Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0419654Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0419789Z | ^ 2025-08-14T21:39:41.0421352Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0421922Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0422089Z | ^ 2025-08-14T21:39:41.0422419Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0422944Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0423139Z | ^ 2025-08-14T21:39:41.0423605Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0424067Z 125 | const auto D = 2025-08-14T21:39:41.0424263Z | ^ 2025-08-14T21:39:41.0424490Z 20 warnings generated when compiling for gfx90a. 2025-08-14T21:39:41.0426160Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0426581Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0426718Z | ^~~~~~~~~~~ 2025-08-14T21:39:41.0427076Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0427449Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0427639Z | ^ 2025-08-14T21:39:41.0427956Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0428274Z 125 | const auto D = 2025-08-14T21:39:41.0428376Z | ^ 2025-08-14T21:39:41.0428753Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0429162Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0430352Z | ^ 2025-08-14T21:39:41.0430718Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0431269Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0431584Z 125 | const auto D = 2025-08-14T21:39:41.0431685Z | ^ 2025-08-14T21:39:41.0432067Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:487:31: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0432480Z 487 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:41.0432610Z | ^~~~~ 2025-08-14T21:39:41.0433106Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:487:31: note: read of non-const variable 'T' is not allowed in a constant expression 2025-08-14T21:39:41.0433725Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:475:11: note: declared here 2025-08-14T21:39:41.0434057Z 475 | int64_t T = weights_offsets.size(0); 2025-08-14T21:39:41.0435288Z | ^ 2025-08-14T21:39:41.0435666Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:589:31: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0436073Z 589 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:41.0436201Z | ^~~~~ 2025-08-14T21:39:41.0436586Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:589:31: note: read of non-const variable 'T' is not allowed in a constant expression 2025-08-14T21:39:41.0437169Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:575:11: note: declared here 2025-08-14T21:39:41.0437536Z 575 | int64_t T = D_offsets.numel() - 1; 2025-08-14T21:39:41.0437655Z | ^ 2025-08-14T21:39:41.0438026Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0438437Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0438576Z | ^~~~~~~~~~~ 2025-08-14T21:39:41.0440013Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:41.0440436Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:41.0440674Z | ^ 2025-08-14T21:39:41.0441207Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0441770Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0441939Z | ^ 2025-08-14T21:39:41.0442273Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0442647Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0442963Z | ^ 2025-08-14T21:39:41.0443312Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0443630Z 125 | const auto D = 2025-08-14T21:39:41.0444862Z | ^ 2025-08-14T21:39:41.0445247Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0445728Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0445943Z | ^ 2025-08-14T21:39:41.0446664Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0447277Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0447447Z | ^ 2025-08-14T21:39:41.0447788Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0448267Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0448407Z | ^ 2025-08-14T21:39:41.0450067Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0450547Z 125 | const auto D = 2025-08-14T21:39:41.0450707Z | ^ 2025-08-14T21:39:41.0451110Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0451811Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0452025Z | ^~~~~~~~~~~ 2025-08-14T21:39:41.0452608Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:41.0453360Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:41.0453647Z | ^ 2025-08-14T21:39:41.0454239Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0454815Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0456222Z | ^ 2025-08-14T21:39:41.0456568Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0456947Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0457088Z | ^ 2025-08-14T21:39:41.0457410Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0457728Z 125 | const auto D = 2025-08-14T21:39:41.0457833Z | ^ 2025-08-14T21:39:41.0458219Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0458639Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0458779Z | ^ 2025-08-14T21:39:41.0459309Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0460985Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0461159Z | ^ 2025-08-14T21:39:41.0461539Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0461922Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0462063Z | ^ 2025-08-14T21:39:41.0462387Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0465762Z 125 | const auto D = 2025-08-14T21:39:41.0465875Z | ^ 2025-08-14T21:39:41.0466264Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0466687Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0466830Z | ^~~~~~~~~~~ 2025-08-14T21:39:41.0468480Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:41.0468971Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:41.0469166Z | ^ 2025-08-14T21:39:41.0469716Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0470295Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0470470Z | ^ 2025-08-14T21:39:41.0470856Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0471240Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0471382Z | ^ 2025-08-14T21:39:41.0471709Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0472039Z 125 | const auto D = 2025-08-14T21:39:41.0474067Z | ^ 2025-08-14T21:39:41.0474803Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0475361Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0475584Z | ^ 2025-08-14T21:39:41.0476463Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0477417Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0477690Z | ^ 2025-08-14T21:39:41.0478247Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0478860Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0479151Z | ^ 2025-08-14T21:39:41.0481036Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0481378Z 125 | const auto D = 2025-08-14T21:39:41.0481487Z | ^ 2025-08-14T21:39:41.0481879Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0482304Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0482447Z | ^~~~~~~~~~~ 2025-08-14T21:39:41.0482995Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:41.0483678Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:41.0483873Z | ^ 2025-08-14T21:39:41.0484476Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0485059Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0485235Z | ^ 2025-08-14T21:39:41.0486779Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0487173Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0487376Z | ^ 2025-08-14T21:39:41.0487703Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0488031Z 125 | const auto D = 2025-08-14T21:39:41.0488138Z | ^ 2025-08-14T21:39:41.0488529Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0488956Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0489099Z | ^ 2025-08-14T21:39:41.0489641Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0490225Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0491690Z | ^ 2025-08-14T21:39:41.0492037Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0492423Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0492566Z | ^ 2025-08-14T21:39:41.0493137Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0493514Z 125 | const auto D = 2025-08-14T21:39:41.0493661Z | ^ 2025-08-14T21:39:41.0494055Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0494477Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0494617Z | ^~~~~~~~~~~ 2025-08-14T21:39:41.0496122Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:41.0496553Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:41.0496746Z | ^ 2025-08-14T21:39:41.0497292Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0497900Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0498073Z | ^ 2025-08-14T21:39:41.0498417Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0498799Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0498941Z | ^ 2025-08-14T21:39:41.0499265Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0499587Z 125 | const auto D = 2025-08-14T21:39:41.0500750Z | ^ 2025-08-14T21:39:41.0501199Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0501628Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0501771Z | ^ 2025-08-14T21:39:41.0502298Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0503255Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0503428Z | ^ 2025-08-14T21:39:41.0503773Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0504153Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0504295Z | ^ 2025-08-14T21:39:41.0504618Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0506061Z 125 | const auto D = 2025-08-14T21:39:41.0506170Z | ^ 2025-08-14T21:39:41.0506560Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0507018Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0507160Z | ^~~~~~~~~~~ 2025-08-14T21:39:41.0507531Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:41.0507957Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:41.0508150Z | ^ 2025-08-14T21:39:41.0508694Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0509270Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0509443Z | ^ 2025-08-14T21:39:41.0510843Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0511255Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0511396Z | ^ 2025-08-14T21:39:41.0511721Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0512048Z 125 | const auto D = 2025-08-14T21:39:41.0512153Z | ^ 2025-08-14T21:39:41.0512540Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0513207Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0513405Z | ^ 2025-08-14T21:39:41.0513935Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0514510Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0515805Z | ^ 2025-08-14T21:39:41.0516146Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0516527Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0516670Z | ^ 2025-08-14T21:39:41.0516996Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0517317Z 125 | const auto D = 2025-08-14T21:39:41.0517423Z | ^ 2025-08-14T21:39:41.0517813Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0518233Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0518373Z | ^~~~~~~~~~~ 2025-08-14T21:39:41.0519792Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:41.0520271Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:41.0520462Z | ^ 2025-08-14T21:39:41.0521005Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0521581Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0521753Z | ^ 2025-08-14T21:39:41.0522090Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0522468Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0522611Z | ^ 2025-08-14T21:39:41.0523071Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0523423Z 125 | const auto D = 2025-08-14T21:39:41.0524621Z | ^ 2025-08-14T21:39:41.0525012Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0525432Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0525574Z | ^ 2025-08-14T21:39:41.0526151Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0526729Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0526900Z | ^ 2025-08-14T21:39:41.0527242Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0527623Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0527772Z | ^ 2025-08-14T21:39:41.0528096Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0529462Z 125 | const auto D = 2025-08-14T21:39:41.0529573Z | ^ 2025-08-14T21:39:41.0529964Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0530385Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0530529Z | ^~~~~~~~~~~ 2025-08-14T21:39:41.0530897Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:41.0531498Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:41.0531691Z | ^ 2025-08-14T21:39:41.0532239Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0532967Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0533140Z | ^ 2025-08-14T21:39:41.0534955Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0535342Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0535486Z | ^ 2025-08-14T21:39:41.0535813Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0536138Z 125 | const auto D = 2025-08-14T21:39:41.0536247Z | ^ 2025-08-14T21:39:41.0536633Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0537097Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0537238Z | ^ 2025-08-14T21:39:41.0537769Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0538343Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0539606Z | ^ 2025-08-14T21:39:41.0539998Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0540378Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0540521Z | ^ 2025-08-14T21:39:41.0540842Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0541161Z 125 | const auto D = 2025-08-14T21:39:41.0541267Z | ^ 2025-08-14T21:39:41.0541391Z 20 warnings generated when compiling for gfx942. 2025-08-14T21:39:41.0541813Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0542234Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0542375Z | ^~~~~~~~~~~ 2025-08-14T21:39:41.0543954Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0544337Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0544477Z | ^ 2025-08-14T21:39:41.0544796Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0545114Z 125 | const auto D = 2025-08-14T21:39:41.0545219Z | ^ 2025-08-14T21:39:41.0545604Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0546058Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0546200Z | ^ 2025-08-14T21:39:41.0546564Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0548181Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0548504Z 125 | const auto D = 2025-08-14T21:39:41.0548611Z | ^ 2025-08-14T21:39:41.0548992Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:487:31: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0549408Z 487 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:41.0549542Z | ^~~~~ 2025-08-14T21:39:41.0549968Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:487:31: note: read of non-const variable 'T' is not allowed in a constant expression 2025-08-14T21:39:41.0550557Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:475:11: note: declared here 2025-08-14T21:39:41.0550888Z 475 | int64_t T = weights_offsets.size(0); 2025-08-14T21:39:41.0551012Z | ^ 2025-08-14T21:39:41.0551391Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:589:31: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0553006Z 589 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:41.0553145Z | ^~~~~ 2025-08-14T21:39:41.0553542Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:589:31: note: read of non-const variable 'T' is not allowed in a constant expression 2025-08-14T21:39:41.0554128Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:575:11: note: declared here 2025-08-14T21:39:41.0554457Z 575 | int64_t T = D_offsets.numel() - 1; 2025-08-14T21:39:41.0554581Z | ^ 2025-08-14T21:39:41.0554960Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0555380Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0555525Z | ^~~~~~~~~~~ 2025-08-14T21:39:41.0555892Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:41.0556315Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:41.0557577Z | ^ 2025-08-14T21:39:41.0558125Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0558728Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0558902Z | ^ 2025-08-14T21:39:41.0559240Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0559620Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0559762Z | ^ 2025-08-14T21:39:41.0560084Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0560404Z 125 | const auto D = 2025-08-14T21:39:41.0560509Z | ^ 2025-08-14T21:39:41.0560893Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0562362Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0562508Z | ^ 2025-08-14T21:39:41.0563205Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0563769Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0563940Z | ^ 2025-08-14T21:39:41.0564280Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0564660Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0564859Z | ^ 2025-08-14T21:39:41.0565183Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0565503Z 125 | const auto D = 2025-08-14T21:39:41.0565609Z | ^ 2025-08-14T21:39:41.0567056Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0567477Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0567618Z | ^~~~~~~~~~~ 2025-08-14T21:39:41.0567986Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:41.0568414Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:41.0568605Z | ^ 2025-08-14T21:39:41.0569144Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0569721Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0569892Z | ^ 2025-08-14T21:39:41.0570232Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0571838Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0571986Z | ^ 2025-08-14T21:39:41.0572312Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0572633Z 125 | const auto D = 2025-08-14T21:39:41.0572845Z | ^ 2025-08-14T21:39:41.0573244Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0573664Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0573805Z | ^ 2025-08-14T21:39:41.0574335Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0574947Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0575122Z | ^ 2025-08-14T21:39:41.0576533Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0576921Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0577112Z | ^ 2025-08-14T21:39:41.0577435Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0577756Z 125 | const auto D = 2025-08-14T21:39:41.0577862Z | ^ 2025-08-14T21:39:41.0578298Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0578716Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0578858Z | ^~~~~~~~~~~ 2025-08-14T21:39:41.0579224Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:41.0579646Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:41.0580925Z | ^ 2025-08-14T21:39:41.0581469Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0582040Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0582211Z | ^ 2025-08-14T21:39:41.0582549Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0583080Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0583221Z | ^ 2025-08-14T21:39:41.0583542Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0583901Z 125 | const auto D = 2025-08-14T21:39:41.0584006Z | ^ 2025-08-14T21:39:41.0584388Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0585887Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0586033Z | ^ 2025-08-14T21:39:41.0586560Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0587133Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0587305Z | ^ 2025-08-14T21:39:41.0587646Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0588057Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0588235Z | ^ 2025-08-14T21:39:41.0588735Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0589228Z 125 | const auto D = 2025-08-14T21:39:41.0589384Z | ^ 2025-08-14T21:39:41.0591563Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0592219Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0592505Z | ^~~~~~~~~~~ 2025-08-14T21:39:41.0593190Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:41.0593842Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:41.0594128Z | ^ 2025-08-14T21:39:41.0594973Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0595879Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0596145Z | ^ 2025-08-14T21:39:41.0596667Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0598836Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0599055Z | ^ 2025-08-14T21:39:41.0599561Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0600052Z 125 | const auto D = 2025-08-14T21:39:41.0600212Z | ^ 2025-08-14T21:39:41.0600812Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0601528Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0601745Z | ^ 2025-08-14T21:39:41.0602588Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0603652Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0603827Z | ^ 2025-08-14T21:39:41.0605341Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0605734Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0605880Z | ^ 2025-08-14T21:39:41.0606208Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0606577Z 125 | const auto D = 2025-08-14T21:39:41.0606683Z | ^ 2025-08-14T21:39:41.0607072Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0607496Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0607638Z | ^~~~~~~~~~~ 2025-08-14T21:39:41.0608010Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:41.0608479Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:41.0609774Z | ^ 2025-08-14T21:39:41.0610319Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0610895Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0611067Z | ^ 2025-08-14T21:39:41.0611544Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0611930Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0612072Z | ^ 2025-08-14T21:39:41.0612399Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0612829Z 125 | const auto D = 2025-08-14T21:39:41.0613010Z | ^ 2025-08-14T21:39:41.0613425Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0614978Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0615126Z | ^ 2025-08-14T21:39:41.0615709Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0616288Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0616462Z | ^ 2025-08-14T21:39:41.0616806Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0617189Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0617333Z | ^ 2025-08-14T21:39:41.0617657Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0617981Z 125 | const auto D = 2025-08-14T21:39:41.0618088Z | ^ 2025-08-14T21:39:41.0619563Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0620019Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0620162Z | ^~~~~~~~~~~ 2025-08-14T21:39:41.0620534Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:41.0620962Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:41.0621153Z | ^ 2025-08-14T21:39:41.0621757Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0622338Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0622510Z | ^ 2025-08-14T21:39:41.0622987Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0624495Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0624643Z | ^ 2025-08-14T21:39:41.0624971Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0625297Z 125 | const auto D = 2025-08-14T21:39:41.0625404Z | ^ 2025-08-14T21:39:41.0625793Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0626221Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0626364Z | ^ 2025-08-14T21:39:41.0626898Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0627520Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0627693Z | ^ 2025-08-14T21:39:41.0629169Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0629557Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0629700Z | ^ 2025-08-14T21:39:41.0630024Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0630347Z 125 | const auto D = 2025-08-14T21:39:41.0630453Z | ^ 2025-08-14T21:39:41.0630842Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0631265Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0631406Z | ^~~~~~~~~~~ 2025-08-14T21:39:41.0631806Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:41.0632233Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:41.0633673Z | ^ 2025-08-14T21:39:41.0634228Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0634866Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0635040Z | ^ 2025-08-14T21:39:41.0635380Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0635761Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0635903Z | ^ 2025-08-14T21:39:41.0636229Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0636552Z 125 | const auto D = 2025-08-14T21:39:41.0636659Z | ^ 2025-08-14T21:39:41.0637052Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0638600Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0638746Z | ^ 2025-08-14T21:39:41.0639280Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0639855Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0640027Z | ^ 2025-08-14T21:39:41.0640368Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0640782Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0640926Z | ^ 2025-08-14T21:39:41.0641255Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0641578Z 125 | const auto D = 2025-08-14T21:39:41.0641684Z | ^ 2025-08-14T21:39:41.0643360Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0643785Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0643927Z | ^~~~~~~~~~~ 2025-08-14T21:39:41.0644298Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:41.0644727Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:41.0644955Z | ^ 2025-08-14T21:39:41.0645504Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0646086Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0646259Z | ^ 2025-08-14T21:39:41.0646601Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0647028Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:41.0648298Z | ^ 2025-08-14T21:39:41.0648629Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0648954Z 125 | const auto D = 2025-08-14T21:39:41.0649058Z | ^ 2025-08-14T21:39:41.0649442Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.0649864Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0650008Z | ^ 2025-08-14T21:39:41.0650545Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.0651269Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.0651441Z | ^ 2025-08-14T21:39:41.0651786Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.0653363Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.0653508Z | ^ 2025-08-14T21:39:41.0653829Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:41.0654190Z 125 | const auto D = 2025-08-14T21:39:41.0654297Z | ^ 2025-08-14T21:39:41.0654419Z 20 warnings generated when compiling for host. 2025-08-14T21:39:41.0654518Z 2025-08-14T21:39:41.9470731Z [310/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_partial_rowwise_adam_split_weighted_kernel_warp.hip.o 2025-08-14T21:39:41.9471859Z [311/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_sgd_split_cpu_hip.cpp.o 2025-08-14T21:39:41.9472935Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.9473590Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9473844Z | ^ 2025-08-14T21:39:41.9474402Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.9475520Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:41.9475986Z 123 | const auto D = 2025-08-14T21:39:41.9476144Z | ^ 2025-08-14T21:39:41.9476699Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:358:31: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.9485775Z 358 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:41.9486000Z | ^~~~~ 2025-08-14T21:39:41.9486893Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:358:31: note: read of non-const variable 'T' is not allowed in a constant expression 2025-08-14T21:39:41.9487758Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:346:11: note: declared here 2025-08-14T21:39:41.9488236Z 346 | int64_t T = weights_offsets.size(0); 2025-08-14T21:39:41.9488426Z | ^ 2025-08-14T21:39:41.9488984Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:456:31: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.9489572Z 456 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:41.9489762Z | ^~~~~ 2025-08-14T21:39:41.9490316Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:456:31: note: read of non-const variable 'T' is not allowed in a constant expression 2025-08-14T21:39:41.9491309Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:442:11: note: declared here 2025-08-14T21:39:41.9491797Z 442 | int64_t T = D_offsets.numel() - 1; 2025-08-14T21:39:41.9491984Z | ^ 2025-08-14T21:39:41.9492534Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.9493247Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9493460Z | ^ 2025-08-14T21:39:41.9494255Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.9495246Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.9495514Z | ^ 2025-08-14T21:39:41.9496005Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.9496558Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9496772Z | ^ 2025-08-14T21:39:41.9497239Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:41.9497700Z 123 | const auto D = 2025-08-14T21:39:41.9497859Z | ^ 2025-08-14T21:39:41.9498427Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.9499109Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9499314Z | ^ 2025-08-14T21:39:41.9500087Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.9500966Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.9501225Z | ^ 2025-08-14T21:39:41.9501715Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.9502419Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9502628Z | ^ 2025-08-14T21:39:41.9503179Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:41.9503633Z 123 | const auto D = 2025-08-14T21:39:41.9503791Z | ^ 2025-08-14T21:39:41.9504343Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.9504948Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9505152Z | ^ 2025-08-14T21:39:41.9505938Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.9506787Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.9507047Z | ^ 2025-08-14T21:39:41.9507538Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.9508086Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9508292Z | ^ 2025-08-14T21:39:41.9508756Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:41.9509293Z 123 | const auto D = 2025-08-14T21:39:41.9509452Z | ^ 2025-08-14T21:39:41.9510020Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.9510622Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9510831Z | ^ 2025-08-14T21:39:41.9511596Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.9512447Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.9512791Z | ^ 2025-08-14T21:39:41.9513287Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.9513922Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9514133Z | ^ 2025-08-14T21:39:41.9514602Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:41.9515059Z 123 | const auto D = 2025-08-14T21:39:41.9515218Z | ^ 2025-08-14T21:39:41.9515779Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.9516386Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9516596Z | ^ 2025-08-14T21:39:41.9517490Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.9518339Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.9518598Z | ^ 2025-08-14T21:39:41.9519160Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.9519707Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9519917Z | ^ 2025-08-14T21:39:41.9520375Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:41.9520836Z 123 | const auto D = 2025-08-14T21:39:41.9520995Z | ^ 2025-08-14T21:39:41.9521545Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.9522157Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9522377Z | ^ 2025-08-14T21:39:41.9523220Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.9524140Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.9524398Z | ^ 2025-08-14T21:39:41.9524888Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.9525430Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9525633Z | ^ 2025-08-14T21:39:41.9526090Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:41.9526546Z 123 | const auto D = 2025-08-14T21:39:41.9526705Z | ^ 2025-08-14T21:39:41.9527257Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.9527861Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9528070Z | ^ 2025-08-14T21:39:41.9528834Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.9529733Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.9529990Z | ^ 2025-08-14T21:39:41.9530471Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.9531008Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9531369Z | ^ 2025-08-14T21:39:41.9531895Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:41.9532391Z 123 | const auto D = 2025-08-14T21:39:41.9532546Z | ^ 2025-08-14T21:39:41.9533171Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.9533772Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9533976Z | ^ 2025-08-14T21:39:41.9534758Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.9535635Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.9535891Z | ^ 2025-08-14T21:39:41.9536371Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.9536909Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9537109Z | ^ 2025-08-14T21:39:41.9537567Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:41.9538018Z 123 | const auto D = 2025-08-14T21:39:41.9538172Z | ^ 2025-08-14T21:39:41.9538347Z 11 warnings generated when compiling for gfx90a. 2025-08-14T21:39:41.9539044Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.9539645Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9539849Z | ^ 2025-08-14T21:39:41.9540371Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.9541155Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:41.9546434Z 123 | const auto D = 2025-08-14T21:39:41.9546626Z | ^ 2025-08-14T21:39:41.9547205Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:358:31: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.9547824Z 358 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:41.9548019Z | ^~~~~ 2025-08-14T21:39:41.9548658Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:358:31: note: read of non-const variable 'T' is not allowed in a constant expression 2025-08-14T21:39:41.9549491Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:346:11: note: declared here 2025-08-14T21:39:41.9549963Z 346 | int64_t T = weights_offsets.size(0); 2025-08-14T21:39:41.9550151Z | ^ 2025-08-14T21:39:41.9550690Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:456:31: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.9551287Z 456 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:41.9554360Z | ^~~~~ 2025-08-14T21:39:41.9554924Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:456:31: note: read of non-const variable 'T' is not allowed in a constant expression 2025-08-14T21:39:41.9555758Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:442:11: note: declared here 2025-08-14T21:39:41.9556223Z 442 | int64_t T = D_offsets.numel() - 1; 2025-08-14T21:39:41.9556403Z | ^ 2025-08-14T21:39:41.9556940Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.9557546Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9557760Z | ^ 2025-08-14T21:39:41.9558550Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.9559387Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.9559643Z | ^ 2025-08-14T21:39:41.9562465Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.9563082Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9563288Z | ^ 2025-08-14T21:39:41.9563810Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:41.9564256Z 123 | const auto D = 2025-08-14T21:39:41.9564411Z | ^ 2025-08-14T21:39:41.9564961Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.9565562Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9565766Z | ^ 2025-08-14T21:39:41.9566544Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.9567408Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.9569799Z | ^ 2025-08-14T21:39:41.9570273Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.9570873Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9571076Z | ^ 2025-08-14T21:39:41.9571655Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:41.9572103Z 123 | const auto D = 2025-08-14T21:39:41.9572254Z | ^ 2025-08-14T21:39:41.9572884Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.9573549Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9573754Z | ^ 2025-08-14T21:39:41.9576533Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.9577380Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.9577638Z | ^ 2025-08-14T21:39:41.9578138Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.9578693Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9578894Z | ^ 2025-08-14T21:39:41.9579352Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:41.9579807Z 123 | const auto D = 2025-08-14T21:39:41.9579958Z | ^ 2025-08-14T21:39:41.9580503Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.9581096Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9583272Z | ^ 2025-08-14T21:39:41.9584065Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.9584977Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.9585233Z | ^ 2025-08-14T21:39:41.9585716Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.9586251Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9586452Z | ^ 2025-08-14T21:39:41.9586906Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:41.9587354Z 123 | const auto D = 2025-08-14T21:39:41.9587502Z | ^ 2025-08-14T21:39:41.9588059Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.9590580Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9590872Z | ^ 2025-08-14T21:39:41.9591644Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.9592487Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.9592811Z | ^ 2025-08-14T21:39:41.9593294Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.9593926Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9594131Z | ^ 2025-08-14T21:39:41.9594587Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:41.9595046Z 123 | const auto D = 2025-08-14T21:39:41.9595199Z | ^ 2025-08-14T21:39:41.9597599Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.9598200Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9598408Z | ^ 2025-08-14T21:39:41.9599187Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.9600070Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.9600333Z | ^ 2025-08-14T21:39:41.9600820Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.9601364Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9601567Z | ^ 2025-08-14T21:39:41.9602029Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:41.9602477Z 123 | const auto D = 2025-08-14T21:39:41.9604521Z | ^ 2025-08-14T21:39:41.9605090Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.9605692Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9605895Z | ^ 2025-08-14T21:39:41.9606677Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.9607522Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.9607776Z | ^ 2025-08-14T21:39:41.9608264Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.9608810Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9609073Z | ^ 2025-08-14T21:39:41.9609534Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:41.9611790Z 123 | const auto D = 2025-08-14T21:39:41.9611956Z | ^ 2025-08-14T21:39:41.9612515Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.9613200Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9613403Z | ^ 2025-08-14T21:39:41.9614300Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.9615152Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.9615403Z | ^ 2025-08-14T21:39:41.9615883Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.9616427Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9616627Z | ^ 2025-08-14T21:39:41.9618747Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:41.9619204Z 123 | const auto D = 2025-08-14T21:39:41.9619363Z | ^ 2025-08-14T21:39:41.9619537Z 11 warnings generated when compiling for gfx942. 2025-08-14T21:39:41.9620144Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.9620746Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9620948Z | ^ 2025-08-14T21:39:41.9621475Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.9622274Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:41.9622882Z 123 | const auto D = 2025-08-14T21:39:41.9623038Z | ^ 2025-08-14T21:39:41.9625339Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:358:31: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.9625942Z 358 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:41.9626137Z | ^~~~~ 2025-08-14T21:39:41.9626706Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:358:31: note: read of non-const variable 'T' is not allowed in a constant expression 2025-08-14T21:39:41.9627549Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:346:11: note: declared here 2025-08-14T21:39:41.9628024Z 346 | int64_t T = weights_offsets.size(0); 2025-08-14T21:39:41.9628209Z | ^ 2025-08-14T21:39:41.9628759Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:456:31: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.9629410Z 456 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:41.9629600Z | ^~~~~ 2025-08-14T21:39:41.9630157Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:456:31: note: read of non-const variable 'T' is not allowed in a constant expression 2025-08-14T21:39:41.9632629Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:442:11: note: declared here 2025-08-14T21:39:41.9633214Z 442 | int64_t T = D_offsets.numel() - 1; 2025-08-14T21:39:41.9633398Z | ^ 2025-08-14T21:39:41.9634025Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.9634627Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9634831Z | ^ 2025-08-14T21:39:41.9635605Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.9636446Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.9636705Z | ^ 2025-08-14T21:39:41.9637209Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.9639413Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9639627Z | ^ 2025-08-14T21:39:41.9640087Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:41.9640538Z 123 | const auto D = 2025-08-14T21:39:41.9640689Z | ^ 2025-08-14T21:39:41.9641243Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.9641844Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9642047Z | ^ 2025-08-14T21:39:41.9642968Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.9643816Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.9644069Z | ^ 2025-08-14T21:39:41.9646182Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.9646730Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9646931Z | ^ 2025-08-14T21:39:41.9647389Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:41.9647841Z 123 | const auto D = 2025-08-14T21:39:41.9647992Z | ^ 2025-08-14T21:39:41.9648570Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.9649236Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9649437Z | ^ 2025-08-14T21:39:41.9650213Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.9651048Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.9653176Z | ^ 2025-08-14T21:39:41.9653747Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.9654293Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9654497Z | ^ 2025-08-14T21:39:41.9654951Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:41.9655404Z 123 | const auto D = 2025-08-14T21:39:41.9655551Z | ^ 2025-08-14T21:39:41.9656103Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.9656703Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9656907Z | ^ 2025-08-14T21:39:41.9657696Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.9660244Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.9660500Z | ^ 2025-08-14T21:39:41.9660986Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.9661538Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9661741Z | ^ 2025-08-14T21:39:41.9662199Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:41.9662711Z 123 | const auto D = 2025-08-14T21:39:41.9662936Z | ^ 2025-08-14T21:39:41.9663486Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.9664087Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9664287Z | ^ 2025-08-14T21:39:41.9666699Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.9667573Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.9667830Z | ^ 2025-08-14T21:39:41.9668316Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.9668913Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9669111Z | ^ 2025-08-14T21:39:41.9669563Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:41.9670009Z 123 | const auto D = 2025-08-14T21:39:41.9670159Z | ^ 2025-08-14T21:39:41.9670699Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.9671294Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9673285Z | ^ 2025-08-14T21:39:41.9674066Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.9674907Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.9675160Z | ^ 2025-08-14T21:39:41.9675640Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.9676183Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9676389Z | ^ 2025-08-14T21:39:41.9676845Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:41.9677300Z 123 | const auto D = 2025-08-14T21:39:41.9677451Z | ^ 2025-08-14T21:39:41.9679852Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.9680639Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9680885Z | ^ 2025-08-14T21:39:41.9681876Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.9683063Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.9683344Z | ^ 2025-08-14T21:39:41.9683898Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.9684567Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9684813Z | ^ 2025-08-14T21:39:41.9685381Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:41.9685940Z 123 | const auto D = 2025-08-14T21:39:41.9687925Z | ^ 2025-08-14T21:39:41.9688618Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:41.9689377Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9689669Z | ^ 2025-08-14T21:39:41.9690655Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:41.9691835Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:41.9692146Z | ^ 2025-08-14T21:39:41.9692828Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:41.9693507Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:41.9693826Z | ^ 2025-08-14T21:39:41.9694394Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:41.9696783Z 123 | const auto D = 2025-08-14T21:39:41.9696963Z | ^ 2025-08-14T21:39:41.9697160Z 11 warnings generated when compiling for host. 2025-08-14T21:39:41.9697328Z 2025-08-14T21:39:41.9698258Z [311/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_partial_rowwise_adam_split_unweighted_nobag_hip.hip.o 2025-08-14T21:39:41.9699561Z [312/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_rowwise_adagrad_with_counter_pt2_hip_wrapper.cpp.o 2025-08-14T21:39:42.6361909Z [312/612] Linking CXX shared library fbgemm_gpu_tbe_training_backward_pt2.so 2025-08-14T21:39:42.6362296Z [313/612] Linking CXX shared library fbgemm_gpu_tbe_training_backward_pt2.so 2025-08-14T21:39:42.6495711Z [313/612] cd /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build && bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../.github/scripts/fbgemm_gpu_postbuild.bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_tbe_training_backward_pt2.so 1 2025-08-14T21:39:42.6496903Z [314/612] cd /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build && bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../.github/scripts/fbgemm_gpu_postbuild.bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_tbe_training_backward_pt2.so 1 2025-08-14T21:39:42.6497468Z ################################################################################ 2025-08-14T21:39:42.6497861Z [CMAKE] Running post-build script ... 2025-08-14T21:39:42.6498174Z Target file: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_tbe_training_backward_pt2.so 2025-08-14T21:39:42.6498467Z Resetting RPATH to $ORIGIN ... 2025-08-14T21:39:42.6498630Z 0x000000000000000f (RPATH) Library rpath: [$ORIGIN] 2025-08-14T21:39:42.6498803Z ################################################################################ 2025-08-14T21:39:42.6498905Z 2025-08-14T21:39:45.6174236Z [314/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_partial_rowwise_adam_split_unweighted_nobag_kernel_warp.hip.o 2025-08-14T21:39:45.6175578Z [315/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_rowwise_adagrad_ssd_weighted_kernel_warp.hip.o 2025-08-14T21:39:46.4313789Z [315/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_partial_rowwise_lamb_split_unweighted_nobag_kernel_cta.hip.o 2025-08-14T21:39:46.4314830Z [316/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_adagrad_split_unweighted_kernel_warp.hip.o 2025-08-14T21:39:46.5677542Z [316/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_partial_rowwise_adam_split_unweighted_hip.hip.o 2025-08-14T21:39:46.5678256Z [317/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_adagrad_split_unweighted_nobag_kernel_warp.hip.o 2025-08-14T21:39:46.9841117Z [317/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_partial_rowwise_adam_split_unweighted_kernel_cta.hip.o 2025-08-14T21:39:46.9843530Z [318/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_rowwise_adagrad_ssd_unweighted_kernel_warp.hip.o 2025-08-14T21:39:47.7916690Z [318/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_partial_rowwise_adam_split_unweighted_kernel_warp.hip.o 2025-08-14T21:39:47.7923545Z [319/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_rowwise_adagrad_ssd_unweighted_nobag_kernel_warp.hip.o 2025-08-14T21:39:48.1794713Z [319/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_partial_rowwise_lamb_split_weighted_hip.hip.o 2025-08-14T21:39:48.1795508Z [320/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_rowwise_adagrad_ssd_unweighted_hip.hip.o 2025-08-14T21:39:48.3510079Z [320/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_partial_rowwise_lamb_split_weighted_kernel_cta.hip.o 2025-08-14T21:39:48.3510849Z [321/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_rowwise_adagrad_ssd_weighted_hip.hip.o 2025-08-14T21:39:49.0685148Z [321/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_partial_rowwise_lamb_split_weighted_kernel_warp.hip.o 2025-08-14T21:39:49.0686398Z [322/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_rowwise_adagrad_ssd_unweighted_nobag_hip.hip.o 2025-08-14T21:39:50.5587410Z [322/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_partial_rowwise_lamb_split_unweighted_nobag_hip.hip.o 2025-08-14T21:39:50.5594027Z [323/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_adagrad_split_unweighted_hip.hip.o 2025-08-14T21:39:50.8739096Z [323/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_partial_rowwise_lamb_split_unweighted_nobag_kernel_warp.hip.o 2025-08-14T21:39:50.8739848Z [324/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_rowwise_adagrad_ssd_weighted_kernel_cta.hip.o 2025-08-14T21:39:50.8742556Z [324/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_none_split_weighted_hip.hip.o 2025-08-14T21:39:50.8744324Z [325/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_adagrad_split_unweighted_nobag_hip.hip.o 2025-08-14T21:39:50.8770660Z [325/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_partial_rowwise_lamb_split_unweighted_hip.hip.o 2025-08-14T21:39:50.8771842Z [326/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_adagrad_split_unweighted_kernel_cta.hip.o 2025-08-14T21:39:51.3335467Z [326/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_partial_rowwise_lamb_split_unweighted_kernel_cta.hip.o 2025-08-14T21:39:51.3337466Z [327/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_adagrad_split_unweighted_nobag_kernel_cta.hip.o 2025-08-14T21:39:51.9465677Z [327/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_partial_rowwise_lamb_split_unweighted_kernel_warp.hip.o 2025-08-14T21:39:51.9467024Z [328/612] Building HIPCC object 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CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_sgd_split_weighted_kernel_warp.hip.o 2025-08-14T21:39:52.3513633Z [330/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_none_split_unweighted_nobag_kernel_warp.hip.o 2025-08-14T21:39:52.3514304Z [331/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_rowwise_adagrad_ssd_unweighted_nobag_kernel_cta.hip.o 2025-08-14T21:39:52.5490891Z [331/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_none_split_unweighted_kernel_cta.hip.o 2025-08-14T21:39:52.5491642Z [332/612] Building HIPCC object 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CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_sgd_split_weighted_hip.hip.o 2025-08-14T21:39:57.4984541Z [340/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_hip.hip.o 2025-08-14T21:39:57.4985288Z [341/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_adam_split_weighted_kernel_warp.hip.o 2025-08-14T21:39:58.4991457Z [341/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_kernel_warp.hip.o 2025-08-14T21:39:58.4993519Z [342/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_sgd_split_unweighted_hip.hip.o 2025-08-14T21:39:59.0484124Z [342/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_split_weighted_device_kernel_hip.hip.o 2025-08-14T21:39:59.0485444Z [343/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_rowwise_adagrad_split_unweighted_hip.hip.o 2025-08-14T21:39:59.0583540Z [343/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_split_unweighted_nobag_device_kernel_hip.hip.o 2025-08-14T21:39:59.0584689Z [344/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_adam_split_unweighted_nobag_kernel_warp.hip.o 2025-08-14T21:39:59.3756632Z [344/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_split_unweighted_device_kernel_hip.hip.o 2025-08-14T21:39:59.3758405Z [345/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_rowwise_adagrad_split_unweighted_nobag_kernel_cta.hip.o 2025-08-14T21:39:59.3762583Z [345/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_index_select.dir/codegen/training/index_select/fbgemm_gpu_tbe_index_select_generated_batch_index_select_dim0_host.cpp.o 2025-08-14T21:39:59.3763772Z [346/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_adam_split_weighted_kernel_cta.hip.o 2025-08-14T21:39:59.5233167Z [346/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_index_select.dir/codegen/training/index_select/fbgemm_gpu_tbe_index_select_generated_batch_index_select_dim0_ops_hip.cpp.o 2025-08-14T21:39:59.5233909Z [347/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_adam_split_unweighted_kernel_warp.hip.o 2025-08-14T21:39:59.7244757Z [347/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_index_select.dir/codegen/training/index_select/fbgemm_gpu_tbe_index_select_generated_batch_index_select_dim0_cpu_host_hip.cpp.o 2025-08-14T21:39:59.7246480Z [348/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_rowwise_adagrad_split_weighted_hip.hip.o 2025-08-14T21:39:59.7341957Z [348/612] cd /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build && bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../.github/scripts/fbgemm_gpu_postbuild.bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_tbe_training_backward_split_host.so 1 2025-08-14T21:39:59.7343301Z [349/612] cd /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build && bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../.github/scripts/fbgemm_gpu_postbuild.bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_tbe_training_backward_split_host.so 1 2025-08-14T21:39:59.7344252Z ################################################################################ 2025-08-14T21:39:59.7344413Z [CMAKE] Running post-build script ... 2025-08-14T21:39:59.7344712Z Target file: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_tbe_training_backward_split_host.so 2025-08-14T21:39:59.7350653Z Resetting RPATH to $ORIGIN ... 2025-08-14T21:39:59.7350850Z 0x000000000000000f (RPATH) Library rpath: [$ORIGIN] 2025-08-14T21:39:59.7351034Z ################################################################################ 2025-08-14T21:39:59.7351138Z 2025-08-14T21:40:00.1597664Z [349/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_index_select.dir/fbgemm_gpu_tbe_index_select_generated_gen_batch_index_select_dim0_forward_codegen_hip.hip.o 2025-08-14T21:40:00.1598900Z [350/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_sgd_split_unweighted_kernel_cta.hip.o 2025-08-14T21:40:00.1629369Z [350/612] Building HIPCC object 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object CMakeFiles/fbgemm_gpu_py.dir/src/layout_transform_ops/fbgemm_gpu_py_generated_layout_transform_ops_gpu.cpp.o 2025-08-14T21:40:55.6968587Z [441/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/sparse_ops/fbgemm_gpu_py_generated_sparse_permute_2d.hip.o 2025-08-14T21:40:55.6969481Z [442/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_ssd_unweighted_kernel.hip.o 2025-08-14T21:40:56.0779989Z [442/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/sparse_ops/fbgemm_gpu_py_generated_sparse_permute102.hip.o 2025-08-14T21:40:56.0786301Z [443/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/memory_utils/fbgemm_gpu_py_generated_memory_utils_ops.hip.o 2025-08-14T21:40:56.3837347Z [443/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/sparse_ops/fbgemm_gpu_py_generated_sparse_reorder_batched_ad.hip.o 2025-08-14T21:40:56.3838305Z [444/612] Building HIPCC object 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CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_partial_rowwise_adam_split_weighted_kernel_cta.hip.o 2025-08-14T21:41:01.1969845Z [459/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/jagged_tensor_ops/fbgemm_gpu_py_generated_jagged_softmax_forward.hip.o 2025-08-14T21:41:01.1970940Z [460/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/jagged_tensor_ops/fbgemm_gpu_py_generated_jagged_dense_dense_elementwise_add_jagged_output_forward.hip.o 2025-08-14T21:41:01.1971570Z In file included from /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_dense_dense_elementwise_add_jagged_output_forward.hip:10: 2025-08-14T21:41:01.1972272Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.1978890Z 317 | __launch_bounds__(kMaxThreads) void jagged_dense_dense_elementwise_jagged_output_kernel_( 2025-08-14T21:41:01.1979178Z | ^ 2025-08-14T21:41:01.1979727Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.1980641Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.1981661Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.1982661Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.1983733Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.1984637Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.1985540Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.1986437Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.1987333Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.1988232Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.1989174Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.1990080Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.1990984Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.1991919Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.1992978Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.1993962Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.1994869Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.1995775Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.1996685Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.1997600Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.1998510Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.1999416Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2000337Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2001235Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2002174Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2003291Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2004190Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2005134Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2006031Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2006927Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2007829Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2008733Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2009630Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2010555Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2011599Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2012498Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2013585Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2014510Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2015407Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2015942Z 40 warnings generated when compiling for gfx90a. 2025-08-14T21:41:01.2016314Z In file included from /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_dense_dense_elementwise_add_jagged_output_forward.hip:10: 2025-08-14T21:41:01.2017002Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2017593Z 317 | __launch_bounds__(kMaxThreads) void jagged_dense_dense_elementwise_jagged_output_kernel_( 2025-08-14T21:41:01.2017803Z | ^ 2025-08-14T21:41:01.2018322Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2019218Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2020119Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2021015Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2024753Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2025674Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2026578Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2027472Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2028411Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2029350Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2030250Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2031144Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2032038Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2033069Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2033965Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2036197Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2037115Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2038008Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2038900Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2039797Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2040709Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2041652Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2042538Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2043604Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2044501Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2047041Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2047929Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2048815Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2049739Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2050620Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2051647Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2052554Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2053605Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2054534Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2055422Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2057447Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2058341Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2059232Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2060124Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.2060647Z 40 warnings generated when compiling for gfx942. 2025-08-14T21:41:01.5123581Z 2025-08-14T21:41:01.5125997Z [461/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/jagged_tensor_ops/fbgemm_gpu_py_generated_jagged_to_padded_dense_backward.hip.o 2025-08-14T21:41:01.5126882Z In file included from /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_to_padded_dense_backward.hip:10: 2025-08-14T21:41:01.5128047Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5136819Z 317 | __launch_bounds__(kMaxThreads) void jagged_dense_dense_elementwise_jagged_output_kernel_( 2025-08-14T21:41:01.5137180Z | ^ 2025-08-14T21:41:01.5138112Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5140049Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5141569Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5143426Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5144952Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5146431Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5147949Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5149494Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5151045Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5152576Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5154379Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5155891Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5157409Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5158998Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5160529Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5162164Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5163834Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5165335Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5166877Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5168428Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5169956Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5171740Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5173471Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5174346Z 24 warnings generated when compiling for gfx90a. 2025-08-14T21:41:01.5174783Z In file included from /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_to_padded_dense_backward.hip:10: 2025-08-14T21:41:01.5175821Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5176901Z 317 | __launch_bounds__(kMaxThreads) void jagged_dense_dense_elementwise_jagged_output_kernel_( 2025-08-14T21:41:01.5177226Z | ^ 2025-08-14T21:41:01.5178069Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5179577Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5181234Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5182873Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5184415Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5185935Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5187439Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5192425Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5194254Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5195753Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5197291Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5198823Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5200421Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5202093Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5203776Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5205286Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5206783Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5208280Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5212684Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5214298Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5215916Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5217406Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5218894Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.5219759Z 24 warnings generated when compiling for gfx942. 2025-08-14T21:41:01.5833867Z 2025-08-14T21:41:01.6484487Z [462/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/fbgemm_gpu_py_generated_histogram_binning_calibration_ops.hip.o 2025-08-14T21:41:01.6630011Z [463/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/jagged_tensor_ops/fbgemm_gpu_py_generated_jagged_dense_bmm_forward.hip.o 2025-08-14T21:41:01.6632302Z [464/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/jagged_tensor_ops/fbgemm_gpu_py_generated_batched_dense_vec_jagged_2d_mul_backward.hip.o 2025-08-14T21:41:01.8197975Z [465/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/metric_ops/fbgemm_gpu_py_generated_metric_ops.hip.o 2025-08-14T21:41:01.8198655Z [466/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/jagged_tensor_ops/fbgemm_gpu_py_generated_dense_to_jagged_forward.hip.o 2025-08-14T21:41:01.8199602Z In file included from /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/dense_to_jagged_forward.hip:10: 2025-08-14T21:41:01.8200254Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8200885Z 317 | __launch_bounds__(kMaxThreads) void jagged_dense_dense_elementwise_jagged_output_kernel_( 2025-08-14T21:41:01.8201093Z | ^ 2025-08-14T21:41:01.8201610Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8202495Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8203769Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8204640Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8205581Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8206462Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8207336Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8213801Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8214782Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8215712Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8216576Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8217440Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8218302Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8219168Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8220028Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8220894Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8221779Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8222639Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8223623Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8224492Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8225373Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8226281Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8227153Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8228025Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8228898Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8229768Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8230645Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8231522Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8232415Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8233421Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8234292Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8235160Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8236043Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8236971Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8237845Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8238732Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8239619Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8240493Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8241361Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8241876Z 40 warnings generated when compiling for gfx90a. 2025-08-14T21:41:01.8242194Z In file included from /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/dense_to_jagged_forward.hip:10: 2025-08-14T21:41:01.8243205Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8244087Z 317 | __launch_bounds__(kMaxThreads) void jagged_dense_dense_elementwise_jagged_output_kernel_( 2025-08-14T21:41:01.8244383Z | ^ 2025-08-14T21:41:01.8245178Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8246546Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8247464Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8248341Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8249273Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8252207Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8253228Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8254378Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8255668Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8256712Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8257627Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8258493Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8259365Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8260237Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8261125Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8263591Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8264548Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8265415Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8266281Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8267146Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8268011Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8268882Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8269764Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8270624Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8271490Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8273599Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8274503Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8275363Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8276258Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8277113Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8277974Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8278831Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8279684Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8280538Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8281416Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8283422Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8284287Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8285147Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8286032Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:01.8286537Z 40 warnings generated when compiling for gfx942. 2025-08-14T21:41:01.9668027Z 2025-08-14T21:41:02.1656357Z [467/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/permute_multi_embedding_ops/fbgemm_gpu_py_generated_permute_multi_embedding_ops.hip.o 2025-08-14T21:41:02.1953530Z [468/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/input_combine_ops/fbgemm_gpu_py_generated_input_combine_cpu_hip.cpp.o 2025-08-14T21:41:02.5362235Z [469/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_partial_rowwise_adam_split_unweighted_nobag_kernel_cta.hip.o 2025-08-14T21:41:02.6881898Z [470/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/layout_transform_ops/fbgemm_gpu_py_generated_layout_transform_ops.hip.o 2025-08-14T21:41:02.8684614Z [471/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/quantize_ops/fbgemm_gpu_py_generated_quantize_fp8_rowwise.hip.o 2025-08-14T21:41:02.9113123Z [472/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/tbe/eeg/fbgemm_gpu_py_generated_indices_estimator_ops.cpp.o 2025-08-14T21:41:03.3998725Z [473/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_ssd_weighted_vbe_kernel.hip.o 2025-08-14T21:41:03.4070302Z [474/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/quantize_ops/fbgemm_gpu_py_generated_quantize_fused_8bit_rowwise.hip.o 2025-08-14T21:41:03.4285775Z [475/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/quantize_ops/fbgemm_gpu_py_generated_quantize_padded_fp8_rowwise.hip.o 2025-08-14T21:41:03.7323491Z [476/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/jagged_tensor_ops/fbgemm_gpu_py_generated_jagged_index_add_2d_forward.hip.o 2025-08-14T21:41:03.7801755Z [477/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_partial_rowwise_adam_split_unweighted_kernel_cta.hip.o 2025-08-14T21:41:03.8466185Z [478/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/jagged_tensor_ops/fbgemm_gpu_py_generated_batched_dense_vec_jagged_2d_mul_forward.hip.o 2025-08-14T21:41:04.0631162Z [479/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/quantize_ops/fbgemm_gpu_py_generated_quantize_fused_nbit_rowwise.hip.o 2025-08-14T21:41:04.4463892Z [480/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/permute_pooled_embedding_ops/fbgemm_gpu_py_generated_permute_pooled_embedding_ops_split_gpu.cpp.o 2025-08-14T21:41:04.6588920Z [481/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/sparse_ops/fbgemm_gpu_py_generated_sparse_ops_gpu.cpp.o 2025-08-14T21:41:05.1944443Z [482/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/quantize_ops/fbgemm_gpu_py_generated_quantize_bfloat16.hip.o 2025-08-14T21:41:05.8659536Z [483/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_unweighted_vbe_kernel.hip.o 2025-08-14T21:41:06.0389709Z [484/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/permute_pooled_embedding_ops/fbgemm_gpu_py_generated_permute_pooled_embedding_ops_gpu.cpp.o 2025-08-14T21:41:06.3160303Z [485/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_ssd_weighted_kernel.hip.o 2025-08-14T21:41:06.6801924Z [486/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/quantize_ops/fbgemm_gpu_py_generated_quantize_mx.hip.o 2025-08-14T21:41:06.6802680Z [487/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/jagged_tensor_ops/fbgemm_gpu_py_generated_jagged_dense_elementwise_mul_forward.hip.o 2025-08-14T21:41:06.6803622Z In file included from /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_dense_elementwise_mul_forward.hip:10: 2025-08-14T21:41:06.6804630Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6806165Z 317 | __launch_bounds__(kMaxThreads) void jagged_dense_dense_elementwise_jagged_output_kernel_( 2025-08-14T21:41:06.6806481Z | ^ 2025-08-14T21:41:06.6807259Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6815441Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6816520Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6817566Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6818596Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6819719Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6820741Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6821779Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6822907Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6823809Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6824650Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6825543Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6826387Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6827229Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6828089Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6828942Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6829788Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6830660Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6831512Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6832364Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6836381Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6837260Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6838108Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6838665Z 24 warnings generated when compiling for gfx90a. 2025-08-14T21:41:06.6838947Z In file included from /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_dense_elementwise_mul_forward.hip:10: 2025-08-14T21:41:06.6839570Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6840132Z 317 | __launch_bounds__(kMaxThreads) void jagged_dense_dense_elementwise_jagged_output_kernel_( 2025-08-14T21:41:06.6840329Z | ^ 2025-08-14T21:41:06.6840819Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6841671Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6842522Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6843467Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6844333Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6845178Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6846031Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6848670Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6849562Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6850464Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6851477Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6852323Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6853282Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6854134Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6854979Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6855824Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6856691Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6858742Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6859593Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6860473Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6861319Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6862215Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6863178Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.6863671Z 24 warnings generated when compiling for gfx942. 2025-08-14T21:41:06.7136337Z 2025-08-14T21:41:06.9072650Z [488/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/intraining_embedding_pruning_ops/fbgemm_gpu_py_generated_intraining_embedding_pruning_gpu_hip.cpp.o 2025-08-14T21:41:06.9073397Z [489/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/jagged_tensor_ops/fbgemm_gpu_py_generated_jagged_dense_elementwise_mul_backward.hip.o 2025-08-14T21:41:06.9079526Z In file included from /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_dense_elementwise_mul_backward.hip:11: 2025-08-14T21:41:06.9080177Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9080778Z 317 | __launch_bounds__(kMaxThreads) void jagged_dense_dense_elementwise_jagged_output_kernel_( 2025-08-14T21:41:06.9080982Z | ^ 2025-08-14T21:41:06.9081482Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9082854Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9083715Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9084571Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9085429Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9086341Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9087190Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9088133Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9088988Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9089843Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9090703Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9091705Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9092566Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9093562Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9094418Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9095271Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9096124Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9096999Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9097893Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9098748Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9099595Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9100444Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9101293Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9101798Z 24 warnings generated when compiling for gfx90a. 2025-08-14T21:41:06.9102067Z In file included from /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_dense_elementwise_mul_backward.hip:11: 2025-08-14T21:41:06.9102791Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9103377Z 317 | __launch_bounds__(kMaxThreads) void jagged_dense_dense_elementwise_jagged_output_kernel_( 2025-08-14T21:41:06.9103570Z | ^ 2025-08-14T21:41:06.9104065Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9104921Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9107606Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9108494Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9109342Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9110233Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9111092Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9111943Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9112917Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9113770Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9114617Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9115493Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9117505Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9118350Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9119199Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9120076Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9120917Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9121819Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9122667Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9123680Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9124530Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9125377Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9127278Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:06.9127820Z 24 warnings generated when compiling for gfx942. 2025-08-14T21:41:07.1605256Z 2025-08-14T21:41:07.4069851Z [490/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/tbe/eeg/fbgemm_gpu_py_generated_indices_generator_ops.cpp.o 2025-08-14T21:41:07.5090167Z [491/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/quantize_ops/fbgemm_gpu_py_generated_quantize_hfp8.hip.o 2025-08-14T21:41:07.8062342Z [492/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/quantize_ops/fbgemm_gpu_py_generated_quantize_msfp.hip.o 2025-08-14T21:41:07.8416724Z [493/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_weighted_vbe_kernel.hip.o 2025-08-14T21:41:08.0520288Z [494/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/sparse_ops/fbgemm_gpu_py_generated_sparse_ops_cpu_hip.cpp.o 2025-08-14T21:41:08.0624771Z [495/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/tbe/eeg/fbgemm_gpu_py_generated_eeg_utils.cpp.o 2025-08-14T21:41:09.2168940Z [496/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/sparse_ops/fbgemm_gpu_py_generated_sparse_async_batched_cumsum.hip.o 2025-08-14T21:41:09.2169800Z [497/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/jagged_tensor_ops/fbgemm_gpu_py_generated_jagged_to_padded_dense_forward.hip.o 2025-08-14T21:41:09.2170267Z In file included from /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_to_padded_dense_forward.hip:10: 2025-08-14T21:41:09.2170900Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2171730Z 317 | __launch_bounds__(kMaxThreads) void jagged_dense_dense_elementwise_jagged_output_kernel_( 2025-08-14T21:41:09.2171933Z | ^ 2025-08-14T21:41:09.2172535Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2179220Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2180103Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2180979Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2181831Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2182681Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2183756Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2184604Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2185444Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2186282Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2187142Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2188027Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2188870Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2189718Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2190566Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2191412Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2192263Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2193180Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2194051Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2194903Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2195747Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2196597Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2197478Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2198360Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2199208Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2200052Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2200897Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2201743Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2202591Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2203513Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2204379Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2205220Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2206064Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2206926Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2207779Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2208661Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2209508Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2210353Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2211305Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2212158Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2213105Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2213955Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2214829Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2215675Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2216526Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2217391Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2218239Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2218744Z 48 warnings generated when compiling for gfx90a. 2025-08-14T21:41:09.2219061Z In file included from /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_to_padded_dense_forward.hip:10: 2025-08-14T21:41:09.2219674Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2220232Z 317 | __launch_bounds__(kMaxThreads) void jagged_dense_dense_elementwise_jagged_output_kernel_( 2025-08-14T21:41:09.2220433Z | ^ 2025-08-14T21:41:09.2220923Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2221776Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2222622Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2223548Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2224413Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2225262Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2226108Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2226959Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2230221Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2231067Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2231985Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2232919Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2233762Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2234605Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2235445Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2236285Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2237152Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2237991Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2240192Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2241034Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2241900Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2242826Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2243716Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2244554Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2245391Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2246229Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2247067Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2247904Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2249903Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2250753Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2251743Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2252580Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2253521Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2254398Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2255240Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2256079Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2256919Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2257756Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2258593Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2260611Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2261478Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2262320Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2263247Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2264094Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2264955Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2265944Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2266786Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:09.2267280Z 48 warnings generated when compiling for gfx942. 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CMakeFiles/fbgemm_gpu_py.dir/src/jagged_tensor_ops/fbgemm_gpu_py_generated_jagged_tensor_ops_cpu_hip.cpp.o 2025-08-14T21:41:20.5550903Z [523/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/intraining_embedding_pruning_ops/fbgemm_gpu_py_generated_intraining_embedding_pruning.hip.o 2025-08-14T21:41:21.0926955Z [523/612] Linking CXX shared library fbgemm_gpu_py.so 2025-08-14T21:41:21.0927203Z [524/612] Linking CXX shared library fbgemm_gpu_py.so 2025-08-14T21:41:21.1118080Z [524/612] cd /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build && bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../.github/scripts/fbgemm_gpu_postbuild.bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_py.so 1 2025-08-14T21:41:21.1125631Z [525/612] cd /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build && bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../.github/scripts/fbgemm_gpu_postbuild.bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_py.so 1 2025-08-14T21:41:21.1126523Z ################################################################################ 2025-08-14T21:41:21.1126752Z [CMAKE] Running post-build script ... 2025-08-14T21:41:21.1127127Z Target file: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_py.so 2025-08-14T21:41:21.1127505Z Resetting RPATH to $ORIGIN ... 2025-08-14T21:41:21.1127957Z 0x000000000000000f (RPATH) Library rpath: [$ORIGIN] 2025-08-14T21:41:21.1128223Z ################################################################################ 2025-08-14T21:41:24.6667674Z 2025-08-14T21:41:24.6669590Z [526/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_split_indice_weights_codegen_hip.hip.o 2025-08-14T21:41:26.1291974Z [526/612] Linking CXX shared library fbgemm_gpu_tbe_training_backward.so 2025-08-14T21:41:26.1292489Z [527/612] Linking CXX shared library fbgemm_gpu_tbe_training_backward.so 2025-08-14T21:41:26.1295625Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:26.1297711Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_vbe_kernel_cta.hip.o 2025-08-14T21:41:26.1300472Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_dense.dir/fbgemm_gpu_tbe_training_backward_dense_generated_gen_embedding_backward_dense_split_weighted_kernel_warp.hip.o 2025-08-14T21:41:26.1302239Z [527/612] cd /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build && bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../.github/scripts/fbgemm_gpu_postbuild.bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_tbe_training_backward.so 1 2025-08-14T21:41:26.1305627Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_gwd.dir/fbgemm_gpu_tbe_training_backward_gwd_generated_gen_embedding_backward_rowwise_adagrad_split_weighted_gwd_hip.hip.o 2025-08-14T21:41:26.1307458Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_gwd.dir/fbgemm_gpu_tbe_training_backward_gwd_generated_gen_embedding_backward_rowwise_adagrad_split_weighted_gwd_kernel_cta.hip.o 2025-08-14T21:41:26.1309629Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_gwd.dir/fbgemm_gpu_tbe_training_backward_gwd_generated_gen_embedding_backward_rowwise_adagrad_split_weighted_gwd_kernel_warp.hip.o 2025-08-14T21:41:26.1315146Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_gwd.dir/fbgemm_gpu_tbe_training_backward_gwd_generated_gen_embedding_backward_rowwise_adagrad_split_unweighted_gwd_hip.hip.o 2025-08-14T21:41:26.1316202Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_gwd.dir/fbgemm_gpu_tbe_training_backward_gwd_generated_gen_embedding_backward_rowwise_adagrad_split_unweighted_gwd_kernel_cta.hip.o 2025-08-14T21:41:26.1317225Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_gwd.dir/fbgemm_gpu_tbe_training_backward_gwd_generated_gen_embedding_backward_rowwise_adagrad_split_unweighted_gwd_kernel_warp.hip.o 2025-08-14T21:41:26.1318366Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_gwd.dir/fbgemm_gpu_tbe_training_backward_gwd_generated_gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_gwd_hip.hip.o 2025-08-14T21:41:26.1320388Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_gwd.dir/fbgemm_gpu_tbe_training_backward_gwd_generated_gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_gwd_kernel_cta.hip.o 2025-08-14T21:41:26.1322270Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_gwd.dir/fbgemm_gpu_tbe_training_backward_gwd_generated_gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_gwd_kernel_warp.hip.o 2025-08-14T21:41:26.1326789Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_gwd.dir/fbgemm_gpu_tbe_training_backward_gwd_generated_gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_gwd_hip.hip.o 2025-08-14T21:41:26.1327976Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_gwd.dir/fbgemm_gpu_tbe_training_backward_gwd_generated_gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_gwd_kernel_cta.hip.o 2025-08-14T21:41:26.1329794Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_gwd.dir/fbgemm_gpu_tbe_training_backward_gwd_generated_gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_gwd_kernel_warp.hip.o 2025-08-14T21:41:26.1330864Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_with_counter_split_weighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:26.1336345Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:26.1337027Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_ssd_weighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:26.1337649Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:26.1340843Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_ssd_unweighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:26.1343359Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_sgd_split_weighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:26.1344704Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_sgd_split_unweighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:26.1346106Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_dense_split_weighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:26.1348082Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_dense_split_unweighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:26.1349574Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_adam_split_weighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:26.1351516Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_adam_split_unweighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:26.1354009Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_ssd_weighted_vbe_hip.hip.o 2025-08-14T21:41:26.1356517Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_hip.hip.o 2025-08-14T21:41:26.1359030Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_kernel_cta.hip.o 2025-08-14T21:41:26.1361616Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_kernel_warp.hip.o 2025-08-14T21:41:26.1365098Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_with_counter_split_weighted_vbe_kernel_cta.hip.o 2025-08-14T21:41:26.1366307Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_ssd_weighted_vbe_kernel_cta.hip.o 2025-08-14T21:41:26.1367947Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_ssd_weighted_vbe_kernel_warp.hip.o 2025-08-14T21:41:26.1369576Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_hip.hip.o 2025-08-14T21:41:26.1372029Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_kernel_cta.hip.o 2025-08-14T21:41:26.1373696Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_kernel_warp.hip.o 2025-08-14T21:41:26.1376004Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_ssd_unweighted_vbe_hip.hip.o 2025-08-14T21:41:26.1377967Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_ssd_unweighted_vbe_kernel_cta.hip.o 2025-08-14T21:41:26.1379629Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_ssd_unweighted_vbe_kernel_warp.hip.o 2025-08-14T21:41:26.1382003Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_with_counter_split_weighted_vbe_hip.hip.o 2025-08-14T21:41:26.1386096Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_with_counter_split_weighted_vbe_kernel_warp.hip.o 2025-08-14T21:41:26.1387198Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_vbe_hip.hip.o 2025-08-14T21:41:26.1388302Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_vbe_kernel_warp.hip.o 2025-08-14T21:41:26.1390753Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_sgd_split_weighted_vbe_hip.hip.o 2025-08-14T21:41:26.1393228Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_sgd_split_weighted_vbe_kernel_cta.hip.o 2025-08-14T21:41:26.1394383Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_sgd_split_weighted_vbe_kernel_warp.hip.o 2025-08-14T21:41:26.1398744Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_sgd_split_unweighted_vbe_hip.hip.o 2025-08-14T21:41:26.1399758Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_sgd_split_unweighted_vbe_kernel_cta.hip.o 2025-08-14T21:41:26.1401138Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_sgd_split_unweighted_vbe_kernel_warp.hip.o 2025-08-14T21:41:26.1403758Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_dense_split_weighted_vbe_hip.hip.o 2025-08-14T21:41:26.1405130Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_dense_split_weighted_vbe_kernel_cta.hip.o 2025-08-14T21:41:26.1406654Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_dense_split_weighted_vbe_kernel_warp.hip.o 2025-08-14T21:41:26.1413599Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_dense_split_unweighted_vbe_hip.hip.o 2025-08-14T21:41:26.1414554Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_adam_split_weighted_vbe_hip.hip.o 2025-08-14T21:41:26.1415640Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_dense_split_unweighted_vbe_kernel_cta.hip.o 2025-08-14T21:41:26.1416641Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_dense_split_unweighted_vbe_kernel_warp.hip.o 2025-08-14T21:41:26.1418989Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_adam_split_weighted_vbe_kernel_cta.hip.o 2025-08-14T21:41:26.1421380Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_adam_split_weighted_vbe_kernel_warp.hip.o 2025-08-14T21:41:26.1422992Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_adam_split_unweighted_vbe_hip.hip.o 2025-08-14T21:41:26.1424662Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_adam_split_unweighted_vbe_kernel_cta.hip.o 2025-08-14T21:41:26.1429697Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_adam_split_unweighted_vbe_kernel_warp.hip.o 2025-08-14T21:41:26.1430444Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_dense.dir/fbgemm_gpu_tbe_training_backward_dense_generated_gen_embedding_backward_dense_split_weighted_meta_hip.cpp.o 2025-08-14T21:41:26.1436042Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_dense.dir/fbgemm_gpu_tbe_training_backward_dense_generated_gen_embedding_backward_dense_split_unweighted_meta_hip.cpp.o 2025-08-14T21:41:26.1436717Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_dense.dir/fbgemm_gpu_tbe_training_backward_dense_generated_gen_embedding_backward_dense_split_unweighted_nobag_meta_hip.cpp.o 2025-08-14T21:41:26.1437317Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_dense.dir/fbgemm_gpu_tbe_training_backward_dense_generated_gen_embedding_backward_split_dense_hip.cpp.o 2025-08-14T21:41:26.1437892Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_dense.dir/fbgemm_gpu_tbe_training_backward_dense_generated_gen_embedding_backward_dense_split_weighted_hip.hip.o 2025-08-14T21:41:26.1438662Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_dense.dir/fbgemm_gpu_tbe_training_backward_dense_generated_gen_embedding_backward_dense_split_weighted_kernel_cta.hip.o 2025-08-14T21:41:26.1439269Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_dense.dir/fbgemm_gpu_tbe_training_backward_dense_generated_gen_embedding_backward_dense_split_unweighted_nobag_hip.hip.o 2025-08-14T21:41:26.1441406Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_dense.dir/fbgemm_gpu_tbe_training_backward_dense_generated_gen_embedding_backward_dense_split_unweighted_hip.hip.o 2025-08-14T21:41:26.1442508Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_dense.dir/fbgemm_gpu_tbe_training_backward_dense_generated_gen_embedding_backward_dense_split_unweighted_nobag_kernel_cta.hip.o 2025-08-14T21:41:26.1445692Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_dense.dir/fbgemm_gpu_tbe_training_backward_dense_generated_gen_embedding_backward_dense_split_unweighted_nobag_kernel_warp.hip.o 2025-08-14T21:41:26.1447028Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_dense.dir/fbgemm_gpu_tbe_training_backward_dense_generated_gen_embedding_backward_dense_split_unweighted_kernel_cta.hip.o 2025-08-14T21:41:26.4579468Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_dense.dir/fbgemm_gpu_tbe_training_backward_dense_generated_gen_embedding_backward_dense_split_unweighted_kernel_warp.hip.o 2025-08-14T21:41:26.4587731Z [528/612] cd /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build && bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../.github/scripts/fbgemm_gpu_postbuild.bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_tbe_training_backward.so 1 2025-08-14T21:41:26.4588382Z ################################################################################ 2025-08-14T21:41:26.4588894Z [CMAKE] Running post-build script ... 2025-08-14T21:41:26.4589163Z Target file: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_tbe_training_backward.so 2025-08-14T21:41:26.4589434Z Resetting RPATH to $ORIGIN ... 2025-08-14T21:41:26.4589586Z 0x000000000000000f (RPATH) Library rpath: [$ORIGIN] 2025-08-14T21:41:26.4589757Z ################################################################################ 2025-08-14T21:41:26.9375772Z 2025-08-14T21:41:47.0180954Z [529/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_weighted_vbe_gwd_kernel.hip.o 2025-08-14T21:41:47.0183915Z [530/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_unweighted_vbe_gwd_kernel.hip.o 2025-08-14T21:41:48.3839770Z [530/612] Linking CXX shared library fbgemm_gpu_tbe_training_forward.so 2025-08-14T21:41:48.3840187Z [531/612] Linking CXX shared library fbgemm_gpu_tbe_training_forward.so 2025-08-14T21:41:48.5303634Z [531/612] cd /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build && bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../.github/scripts/fbgemm_gpu_postbuild.bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_tbe_training_forward.so 1 2025-08-14T21:41:48.5313885Z [532/612] cd /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build && bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../.github/scripts/fbgemm_gpu_postbuild.bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_tbe_training_forward.so 1 2025-08-14T21:41:48.5314894Z ################################################################################ 2025-08-14T21:41:48.5315672Z [CMAKE] Running post-build script ... 2025-08-14T21:41:48.5316149Z Target file: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_tbe_training_forward.so 2025-08-14T21:41:48.5316602Z Resetting RPATH to $ORIGIN ... 2025-08-14T21:41:48.5316868Z 0x000000000000000f (RPATH) Library rpath: [$ORIGIN] 2025-08-14T21:41:48.5317149Z ################################################################################ 2025-08-14T21:41:48.6860527Z 2025-08-14T21:41:48.7178001Z [533/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_dense.dir/fbgemm_gpu_tbe_training_backward_dense_generated_gen_embedding_backward_dense_split_unweighted_meta_hip.cpp.o 2025-08-14T21:41:49.2054647Z [534/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_sgd_split_unweighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:49.6267212Z [535/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_ssd_weighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:50.7792485Z [536/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:51.5687091Z [537/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:51.9533358Z [538/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_ssd_unweighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:52.2548198Z [539/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:52.3316106Z [540/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_with_counter_split_weighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:53.8666438Z [541/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_dense.dir/fbgemm_gpu_tbe_training_backward_dense_generated_gen_embedding_backward_dense_split_unweighted_nobag_meta_hip.cpp.o 2025-08-14T21:41:54.9797539Z [542/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_adam_split_unweighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:55.1444320Z [543/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_dense_split_weighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:56.2074094Z [544/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_sgd_split_weighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:56.4157605Z [545/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_dense.dir/fbgemm_gpu_tbe_training_backward_dense_generated_gen_embedding_backward_dense_split_weighted_meta_hip.cpp.o 2025-08-14T21:41:56.4193205Z [546/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_dense_split_unweighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:57.3264152Z [547/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_adam_split_weighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:58.4371616Z [548/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_adam_split_weighted_vbe_kernel_cta.hip.o 2025-08-14T21:41:58.6769830Z [549/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_adam_split_unweighted_vbe_kernel_cta.hip.o 2025-08-14T21:41:58.7306772Z [550/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_dense.dir/fbgemm_gpu_tbe_training_backward_dense_generated_gen_embedding_backward_dense_split_unweighted_kernel_warp.hip.o 2025-08-14T21:41:59.0196360Z [551/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_dense_split_unweighted_vbe_kernel_warp.hip.o 2025-08-14T21:42:00.6524403Z [552/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_dense.dir/fbgemm_gpu_tbe_training_backward_dense_generated_gen_embedding_backward_dense_split_unweighted_nobag_kernel_warp.hip.o 2025-08-14T21:42:00.6956108Z [553/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_adam_split_weighted_vbe_kernel_warp.hip.o 2025-08-14T21:42:00.7269235Z [554/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_gwd.dir/fbgemm_gpu_tbe_training_backward_gwd_generated_gen_embedding_backward_rowwise_adagrad_split_unweighted_gwd_hip.hip.o 2025-08-14T21:42:01.3904406Z [555/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_adam_split_unweighted_vbe_kernel_warp.hip.o 2025-08-14T21:42:01.4054921Z [556/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_kernel_warp.hip.o 2025-08-14T21:42:01.8326166Z [557/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_dense.dir/fbgemm_gpu_tbe_training_backward_dense_generated_gen_embedding_backward_dense_split_weighted_kernel_warp.hip.o 2025-08-14T21:42:02.1136229Z [558/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_gwd.dir/fbgemm_gpu_tbe_training_backward_gwd_generated_gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_gwd_hip.hip.o 2025-08-14T21:42:02.4777392Z [559/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_dense.dir/fbgemm_gpu_tbe_training_backward_dense_generated_gen_embedding_backward_split_dense_hip.cpp.o 2025-08-14T21:42:02.5857954Z [560/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_ssd_weighted_vbe_kernel_warp.hip.o 2025-08-14T21:42:03.5744191Z [561/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_dense_split_weighted_vbe_kernel_warp.hip.o 2025-08-14T21:42:03.5781709Z [562/612] Building HIPCC object 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CMakeFiles/fbgemm_gpu_tbe_training_backward_dense.dir/fbgemm_gpu_tbe_training_backward_dense_generated_gen_embedding_backward_dense_split_unweighted_hip.hip.o 2025-08-14T21:42:06.6841332Z [575/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_sgd_split_weighted_vbe_hip.hip.o 2025-08-14T21:42:06.8244606Z [576/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_dense_split_unweighted_vbe_hip.hip.o 2025-08-14T21:42:07.0335160Z [577/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_kernel_cta.hip.o 2025-08-14T21:42:07.1899334Z [578/612] Building HIPCC object 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2025-08-14T21:42:18.4473080Z -- Installing: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/fbgemm_gpu_embedding_inplace_ops.so 2025-08-14T21:42:18.4473544Z -- Installing: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/fbgemm_gpu_py.so 2025-08-14T21:42:18.4614170Z 2025-08-14T21:42:18.4614693Z copying fbgemm_gpu/split_table_batched_embeddings_ops_training_common.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_table_batched_embeddings_ops_training_common.py 2025-08-14T21:42:18.4615315Z copying fbgemm_gpu/quantize_comm.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/quantize_comm.py 2025-08-14T21:42:18.4615939Z copying fbgemm_gpu/split_table_batched_embeddings_ops_training.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_table_batched_embeddings_ops_training.py 2025-08-14T21:42:18.4617082Z copying fbgemm_gpu/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/__init__.py 2025-08-14T21:42:18.4617660Z copying fbgemm_gpu/split_table_batched_embeddings_ops_common.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_table_batched_embeddings_ops_common.py 2025-08-14T21:42:18.4618382Z copying fbgemm_gpu/split_embedding_inference_converter.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_embedding_inference_converter.py 2025-08-14T21:42:18.4618945Z copying fbgemm_gpu/uvm.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/uvm.py 2025-08-14T21:42:18.4619561Z copying fbgemm_gpu/split_embedding_utils.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_embedding_utils.py 2025-08-14T21:42:18.4620156Z copying fbgemm_gpu/split_table_batched_embeddings_ops.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_table_batched_embeddings_ops.py 2025-08-14T21:42:18.4624028Z copying fbgemm_gpu/permute_pooled_embedding_modules_split.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/permute_pooled_embedding_modules_split.py 2025-08-14T21:42:18.4624743Z copying fbgemm_gpu/split_embedding_optimizer_ops.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_embedding_optimizer_ops.py 2025-08-14T21:42:18.4625285Z copying fbgemm_gpu/runtime_monitor.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/runtime_monitor.py 2025-08-14T21:42:18.4625894Z copying fbgemm_gpu/enums.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/enums.py 2025-08-14T21:42:18.4626437Z copying fbgemm_gpu/ssd_split_table_batched_embeddings_ops.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/ssd_split_table_batched_embeddings_ops.py 2025-08-14T21:42:18.4627110Z copying fbgemm_gpu/permute_pooled_embedding_modules.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/permute_pooled_embedding_modules.py 2025-08-14T21:42:18.4627743Z copying fbgemm_gpu/batched_unary_embeddings_ops.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/batched_unary_embeddings_ops.py 2025-08-14T21:42:18.4628316Z copying fbgemm_gpu/split_embedding_configs.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_embedding_configs.py 2025-08-14T21:42:18.4628790Z copying fbgemm_gpu/metrics.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/metrics.py 2025-08-14T21:42:18.4629213Z copying fbgemm_gpu/sparse_ops.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sparse_ops.py 2025-08-14T21:42:18.4631719Z copying fbgemm_gpu/split_table_batched_embeddings_ops_inference.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_table_batched_embeddings_ops_inference.py 2025-08-14T21:42:18.4632389Z copying fbgemm_gpu/tbe_input_multiplexer.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe_input_multiplexer.py 2025-08-14T21:42:18.4632974Z copying fbgemm_gpu/quantize_utils.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/quantize_utils.py 2025-08-14T21:42:18.4633379Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe 2025-08-14T21:42:18.4633763Z copying fbgemm_gpu/tbe/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/__init__.py 2025-08-14T21:42:18.4634148Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/config 2025-08-14T21:42:18.4634583Z copying fbgemm_gpu/config/feature_list.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/config/feature_list.py 2025-08-14T21:42:18.4635145Z copying fbgemm_gpu/config/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/config/__init__.py 2025-08-14T21:42:18.4635543Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/triton 2025-08-14T21:42:18.4635960Z copying fbgemm_gpu/triton/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/triton/__init__.py 2025-08-14T21:42:18.4636425Z copying fbgemm_gpu/triton/quantize.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/triton/quantize.py 2025-08-14T21:42:18.4636925Z copying fbgemm_gpu/triton/quantize_ref.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/triton/quantize_ref.py 2025-08-14T21:42:18.4637406Z copying fbgemm_gpu/triton/common.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/triton/common.py 2025-08-14T21:42:18.4637807Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/utils 2025-08-14T21:42:18.4640109Z copying fbgemm_gpu/utils/torch_library.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/utils/torch_library.py 2025-08-14T21:42:18.4640639Z copying fbgemm_gpu/utils/loader.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/utils/loader.py 2025-08-14T21:42:18.4641100Z copying fbgemm_gpu/utils/filestore.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/utils/filestore.py 2025-08-14T21:42:18.4641622Z copying fbgemm_gpu/utils/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/utils/__init__.py 2025-08-14T21:42:18.4642025Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/quantize 2025-08-14T21:42:18.4642442Z copying fbgemm_gpu/quantize/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/quantize/__init__.py 2025-08-14T21:42:18.4643045Z copying fbgemm_gpu/quantize/quantize_ops.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/quantize/quantize_ops.py 2025-08-14T21:42:18.4643479Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/docs 2025-08-14T21:42:18.4644036Z copying fbgemm_gpu/docs/permute_pooled_embedding_ops.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/docs/permute_pooled_embedding_ops.py 2025-08-14T21:42:18.4644670Z copying fbgemm_gpu/docs/merge_pooled_embedding_ops.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/docs/merge_pooled_embedding_ops.py 2025-08-14T21:42:18.4645211Z copying fbgemm_gpu/docs/examples.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/docs/examples.py 2025-08-14T21:42:18.4647370Z copying fbgemm_gpu/docs/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/docs/__init__.py 2025-08-14T21:42:18.4647844Z copying fbgemm_gpu/docs/quantize_ops.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/docs/quantize_ops.py 2025-08-14T21:42:18.4648318Z copying fbgemm_gpu/docs/version.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/docs/version.py 2025-08-14T21:42:18.4648756Z copying fbgemm_gpu/docs/common.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/docs/common.py 2025-08-14T21:42:18.4649212Z copying fbgemm_gpu/docs/sparse_ops.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/docs/sparse_ops.py 2025-08-14T21:42:18.4649716Z copying fbgemm_gpu/docs/jagged_tensor_ops.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/docs/jagged_tensor_ops.py 2025-08-14T21:42:18.4650154Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll 2025-08-14T21:42:18.4650529Z copying fbgemm_gpu/sll/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/__init__.py 2025-08-14T21:42:18.4650919Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/bench 2025-08-14T21:42:18.4651458Z copying fbgemm_gpu/tbe/bench/tbe_data_config.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/bench/tbe_data_config.py 2025-08-14T21:42:18.4652045Z copying fbgemm_gpu/tbe/bench/tbe_data_config_loader.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/bench/tbe_data_config_loader.py 2025-08-14T21:42:18.4652594Z copying fbgemm_gpu/tbe/bench/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/bench/__init__.py 2025-08-14T21:42:18.4653094Z copying fbgemm_gpu/tbe/bench/embedding_ops_common_config.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/bench/embedding_ops_common_config.py 2025-08-14T21:42:18.4653470Z copying fbgemm_gpu/tbe/bench/reporter.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/bench/reporter.py 2025-08-14T21:42:18.4653804Z copying fbgemm_gpu/tbe/bench/bench_config.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/bench/bench_config.py 2025-08-14T21:42:18.4655252Z copying fbgemm_gpu/tbe/bench/utils.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/bench/utils.py 2025-08-14T21:42:18.4655563Z copying fbgemm_gpu/tbe/bench/eeg_cli.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/bench/eeg_cli.py 2025-08-14T21:42:18.4655928Z copying fbgemm_gpu/tbe/bench/tbe_data_config_param_models.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/bench/tbe_data_config_param_models.py 2025-08-14T21:42:18.4656322Z copying fbgemm_gpu/tbe/bench/eval_compression.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/bench/eval_compression.py 2025-08-14T21:42:18.4656666Z copying fbgemm_gpu/tbe/bench/bench_runs.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/bench/bench_runs.py 2025-08-14T21:42:18.4657000Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/ssd 2025-08-14T21:42:18.4657263Z copying fbgemm_gpu/tbe/ssd/training.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/ssd/training.py 2025-08-14T21:42:18.4657557Z copying fbgemm_gpu/tbe/ssd/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/ssd/__init__.py 2025-08-14T21:42:18.4657858Z copying fbgemm_gpu/tbe/ssd/inference.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/ssd/inference.py 2025-08-14T21:42:18.4658156Z copying fbgemm_gpu/tbe/ssd/common.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/ssd/common.py 2025-08-14T21:42:18.4658414Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/stats 2025-08-14T21:42:18.4659653Z copying fbgemm_gpu/tbe/stats/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/stats/__init__.py 2025-08-14T21:42:18.4660007Z copying fbgemm_gpu/tbe/stats/bench_params_reporter.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/stats/bench_params_reporter.py 2025-08-14T21:42:18.4660314Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/utils 2025-08-14T21:42:18.4660578Z copying fbgemm_gpu/tbe/utils/offsets.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/utils/offsets.py 2025-08-14T21:42:18.4660883Z copying fbgemm_gpu/tbe/utils/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/utils/__init__.py 2025-08-14T21:42:18.4661190Z copying fbgemm_gpu/tbe/utils/quantize.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/utils/quantize.py 2025-08-14T21:42:18.4661505Z copying fbgemm_gpu/tbe/utils/requests.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/utils/requests.py 2025-08-14T21:42:18.4661813Z copying fbgemm_gpu/tbe/utils/common.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/utils/common.py 2025-08-14T21:42:18.4662074Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/cache 2025-08-14T21:42:18.4662332Z copying fbgemm_gpu/tbe/cache/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/cache/__init__.py 2025-08-14T21:42:18.4662688Z copying fbgemm_gpu/tbe/cache/split_embeddings_cache_ops.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/cache/split_embeddings_cache_ops.py 2025-08-14T21:42:18.4664113Z copying fbgemm_gpu/tbe/cache/kv_embedding_ops_inference.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/cache/kv_embedding_ops_inference.py 2025-08-14T21:42:18.4664433Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/ssd/utils 2025-08-14T21:42:18.4664748Z copying fbgemm_gpu/tbe/ssd/utils/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/ssd/utils/__init__.py 2025-08-14T21:42:18.4665148Z copying fbgemm_gpu/tbe/ssd/utils/partially_materialized_tensor.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/ssd/utils/partially_materialized_tensor.py 2025-08-14T21:42:18.4665494Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/triton/jagged 2025-08-14T21:42:18.4665773Z copying fbgemm_gpu/triton/jagged/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/triton/jagged/__init__.py 2025-08-14T21:42:18.4666147Z copying fbgemm_gpu/triton/jagged/triton_jagged_tensor_ops.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/triton/jagged/triton_jagged_tensor_ops.py 2025-08-14T21:42:18.4666467Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/meta 2025-08-14T21:42:18.4666726Z copying fbgemm_gpu/sll/meta/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/meta/__init__.py 2025-08-14T21:42:18.4667029Z copying fbgemm_gpu/sll/meta/meta_sll.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/meta/meta_sll.py 2025-08-14T21:42:18.4667290Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/cpu 2025-08-14T21:42:18.4668458Z copying fbgemm_gpu/sll/cpu/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/cpu/__init__.py 2025-08-14T21:42:18.4668748Z copying fbgemm_gpu/sll/cpu/cpu_sll.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/cpu/cpu_sll.py 2025-08-14T21:42:18.4669005Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/triton 2025-08-14T21:42:18.4669353Z copying fbgemm_gpu/sll/triton/triton_jagged_dense_flash_attention.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/triton/triton_jagged_dense_flash_attention.py 2025-08-14T21:42:18.4669835Z copying fbgemm_gpu/sll/triton/triton_multi_head_jagged_flash_attention.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/triton/triton_multi_head_jagged_flash_attention.py 2025-08-14T21:42:18.4670344Z copying fbgemm_gpu/sll/triton/triton_jagged_bmm_jagged_out.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/triton/triton_jagged_bmm_jagged_out.py 2025-08-14T21:42:18.4670714Z copying fbgemm_gpu/sll/triton/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/triton/__init__.py 2025-08-14T21:42:18.4671053Z copying fbgemm_gpu/sll/triton/triton_jagged_bmm.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/triton/triton_jagged_bmm.py 2025-08-14T21:42:18.4671485Z copying fbgemm_gpu/sll/triton/triton_jagged_self_substraction_jagged_out.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/triton/triton_jagged_self_substraction_jagged_out.py 2025-08-14T21:42:18.4671959Z copying fbgemm_gpu/sll/triton/triton_jagged2_to_padded_dense.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/triton/triton_jagged2_to_padded_dense.py 2025-08-14T21:42:18.4673443Z copying fbgemm_gpu/sll/triton/triton_jagged_dense_elementwise_mul_jagged_out.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/triton/triton_jagged_dense_elementwise_mul_jagged_out.py 2025-08-14T21:42:18.4673945Z copying fbgemm_gpu/sll/triton/triton_dense_jagged_cat_jagged_out.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/triton/triton_dense_jagged_cat_jagged_out.py 2025-08-14T21:42:18.4674409Z copying fbgemm_gpu/sll/triton/triton_jagged_flash_attention_basic.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/triton/triton_jagged_flash_attention_basic.py 2025-08-14T21:42:18.4674796Z copying fbgemm_gpu/sll/triton/common.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/triton/common.py 2025-08-14T21:42:18.4675145Z copying fbgemm_gpu/sll/triton/triton_jagged_softmax.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/triton/triton_jagged_softmax.py 2025-08-14T21:42:18.4675571Z copying fbgemm_gpu/sll/triton/triton_jagged_dense_elementwise_add.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/triton/triton_jagged_dense_elementwise_add.py 2025-08-14T21:42:18.4675853Z 2025-08-14T21:42:18.4819146Z INFO:root:running bdist_wheel 2025-08-14T21:42:18.4861250Z INFO:root:running build 2025-08-14T21:42:18.4861431Z INFO:root:running build_py 2025-08-14T21:42:18.4864660Z INFO:root:creating _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu 2025-08-14T21:42:18.4865243Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_table_batched_embeddings_ops_training_common.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu 2025-08-14T21:42:18.4868638Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/quantize_comm.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu 2025-08-14T21:42:18.4869441Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_table_batched_embeddings_ops_training.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu 2025-08-14T21:42:18.4870216Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/__init__.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu 2025-08-14T21:42:18.4870970Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_table_batched_embeddings_ops_common.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu 2025-08-14T21:42:18.4871891Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_embedding_inference_converter.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu 2025-08-14T21:42:18.4872638Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/uvm.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu 2025-08-14T21:42:18.4873450Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_embedding_utils.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu 2025-08-14T21:42:18.4874286Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_table_batched_embeddings_ops.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu 2025-08-14T21:42:18.4875112Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/permute_pooled_embedding_modules_split.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu 2025-08-14T21:42:18.4875925Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_embedding_optimizer_ops.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu 2025-08-14T21:42:18.4878812Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/runtime_monitor.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu 2025-08-14T21:42:18.4879522Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/enums.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu 2025-08-14T21:42:18.4880273Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/ssd_split_table_batched_embeddings_ops.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu 2025-08-14T21:42:18.4881104Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/permute_pooled_embedding_modules.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu 2025-08-14T21:42:18.4881896Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/batched_unary_embeddings_ops.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu 2025-08-14T21:42:18.4882658Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_embedding_configs.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu 2025-08-14T21:42:18.4883468Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/metrics.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu 2025-08-14T21:42:18.4884211Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sparse_ops.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu 2025-08-14T21:42:18.4884997Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_table_batched_embeddings_ops_inference.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu 2025-08-14T21:42:18.4885799Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe_input_multiplexer.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu 2025-08-14T21:42:18.4886539Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/quantize_utils.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu 2025-08-14T21:42:18.4887116Z INFO:root:creating _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/tbe 2025-08-14T21:42:18.4887692Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/__init__.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/tbe 2025-08-14T21:42:18.4888267Z INFO:root:creating _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/config 2025-08-14T21:42:18.4888930Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/config/feature_list.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/config 2025-08-14T21:42:18.4889707Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/config/__init__.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/config 2025-08-14T21:42:18.4890308Z INFO:root:creating _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/triton 2025-08-14T21:42:18.4892817Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/triton/__init__.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/triton 2025-08-14T21:42:18.4893677Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/triton/quantize.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/triton 2025-08-14T21:42:18.4894444Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/triton/quantize_ref.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/triton 2025-08-14T21:42:18.4895206Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/triton/common.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/triton 2025-08-14T21:42:18.4895798Z INFO:root:creating _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/utils 2025-08-14T21:42:18.4896401Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/utils/torch_library.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/utils 2025-08-14T21:42:18.4897162Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/utils/loader.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/utils 2025-08-14T21:42:18.4897914Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/utils/filestore.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/utils 2025-08-14T21:42:18.4898656Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/utils/__init__.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/utils 2025-08-14T21:42:18.4899243Z INFO:root:creating _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/quantize 2025-08-14T21:42:18.4899852Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/quantize/__init__.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/quantize 2025-08-14T21:42:18.4902343Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/quantize/quantize_ops.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/quantize 2025-08-14T21:42:18.4903082Z INFO:root:creating _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/docs 2025-08-14T21:42:18.4903718Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/docs/permute_pooled_embedding_ops.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/docs 2025-08-14T21:42:18.4904547Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/docs/merge_pooled_embedding_ops.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/docs 2025-08-14T21:42:18.4905325Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/docs/examples.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/docs 2025-08-14T21:42:18.4906061Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/docs/__init__.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/docs 2025-08-14T21:42:18.4906795Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/docs/quantize_ops.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/docs 2025-08-14T21:42:18.4907577Z INFO:root:copying 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_skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/tbe/utils 2025-08-14T21:42:18.7362189Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/utils/quantize.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/tbe/utils 2025-08-14T21:42:18.7363063Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/utils/requests.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/tbe/utils 2025-08-14T21:42:18.7363842Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/utils/common.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/tbe/utils 2025-08-14T21:42:18.7364644Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/cache/__init__.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/tbe/cache 2025-08-14T21:42:18.7365466Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/cache/split_embeddings_cache_ops.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/tbe/cache 2025-08-14T21:42:18.7368453Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/cache/kv_embedding_ops_inference.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/tbe/cache 2025-08-14T21:42:18.7369289Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/ssd/utils/__init__.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/tbe/ssd/utils 2025-08-14T21:42:18.7370155Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/ssd/utils/partially_materialized_tensor.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/tbe/ssd/utils 2025-08-14T21:42:18.7371024Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/triton/jagged/__init__.py 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INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/cpu/cpu_sll.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/sll/cpu 2025-08-14T21:42:18.7377507Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/triton/triton_jagged_dense_flash_attention.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/sll/triton 2025-08-14T21:42:18.7378098Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/triton/triton_multi_head_jagged_flash_attention.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/sll/triton 2025-08-14T21:42:18.7378660Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/triton/triton_jagged_bmm_jagged_out.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/sll/triton 2025-08-14T21:42:18.7379172Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/triton/__init__.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/sll/triton 2025-08-14T21:42:18.7379665Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/triton/triton_jagged_bmm.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/sll/triton 2025-08-14T21:42:18.7380208Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/triton/triton_jagged_self_substraction_jagged_out.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/sll/triton 2025-08-14T21:42:18.7380774Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/triton/triton_jagged2_to_padded_dense.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/sll/triton 2025-08-14T21:42:18.7381393Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/triton/triton_jagged_dense_elementwise_mul_jagged_out.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/sll/triton 2025-08-14T21:42:18.7381964Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/triton/triton_dense_jagged_cat_jagged_out.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/sll/triton 2025-08-14T21:42:18.7382525Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/triton/triton_jagged_flash_attention_basic.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/sll/triton 2025-08-14T21:42:18.7383120Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/triton/common.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/sll/triton 2025-08-14T21:42:18.7383627Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/triton/triton_jagged_softmax.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/sll/triton 2025-08-14T21:42:18.7384172Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/triton/triton_jagged_dense_elementwise_add.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/sll/triton 2025-08-14T21:42:18.7387410Z INFO:skbuild:copied 91 files 2025-08-14T21:42:18.7387683Z INFO:root:running build_ext 2025-08-14T21:42:18.7390710Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-08-14T21:42:18.7393341Z !! 2025-08-14T21:42:18.7393401Z 2025-08-14T21:42:18.7393458Z ******************************************************************************** 2025-08-14T21:42:18.7393609Z Please avoid running ``setup.py`` directly. 2025-08-14T21:42:18.7393772Z Instead, use pypa/build, pypa/installer or other 2025-08-14T21:42:18.7393985Z standards-based tools. 2025-08-14T21:42:18.7394091Z 2025-08-14T21:42:18.7394354Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-08-14T21:42:18.7394528Z or your builds will no longer be supported. 2025-08-14T21:42:18.7394616Z 2025-08-14T21:42:18.7394741Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-08-14T21:42:18.7394929Z ******************************************************************************** 2025-08-14T21:42:18.7395016Z 2025-08-14T21:42:18.7395047Z !! 2025-08-14T21:42:18.7395133Z self.initialize_options() 2025-08-14T21:42:18.7396598Z INFO:root:installing to _skbuild/linux-x86_64-3.10/setuptools/bdist.linux-x86_64/wheel 2025-08-14T21:42:18.7396785Z INFO:root:running install 2025-08-14T21:42:18.7415255Z INFO:root:running install_lib 2025-08-14T21:42:18.7416622Z INFO:root:creating 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_skbuild/linux-x86_64-3.10/setuptools/bdist.linux-x86_64/wheel/./fbgemm_gpu/split_embedding_codegen_lookup_invokers 2025-08-14T21:42:18.7455565Z INFO:root:copying _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/split_embedding_codegen_lookup_invokers/lookup_rowwise_adagrad.py -> _skbuild/linux-x86_64-3.10/setuptools/bdist.linux-x86_64/wheel/./fbgemm_gpu/split_embedding_codegen_lookup_invokers 2025-08-14T21:42:18.7456305Z INFO:root:copying _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/split_embedding_codegen_lookup_invokers/lookup_adagrad.py -> _skbuild/linux-x86_64-3.10/setuptools/bdist.linux-x86_64/wheel/./fbgemm_gpu/split_embedding_codegen_lookup_invokers 2025-08-14T21:42:18.7457121Z INFO:root:copying _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/split_embedding_codegen_lookup_invokers/lookup_partial_rowwise_lamb.py -> 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fbgemm_gpu_nightly_rocm.egg-info/dependency_links.txt 2025-08-14T21:42:18.9967660Z INFO:root:writing requirements to fbgemm_gpu_nightly_rocm.egg-info/requires.txt 2025-08-14T21:42:18.9968042Z INFO:root:writing top-level names to fbgemm_gpu_nightly_rocm.egg-info/top_level.txt 2025-08-14T21:42:18.9968840Z INFO:root:writing manifest file 'fbgemm_gpu_nightly_rocm.egg-info/SOURCES.txt' 2025-08-14T21:42:19.0048002Z INFO:root:reading manifest file 'fbgemm_gpu_nightly_rocm.egg-info/SOURCES.txt' 2025-08-14T21:42:19.0061542Z INFO:root:writing manifest file 'fbgemm_gpu_nightly_rocm.egg-info/SOURCES.txt' 2025-08-14T21:42:19.0062820Z INFO:root:Copying fbgemm_gpu_nightly_rocm.egg-info to _skbuild/linux-x86_64-3.10/setuptools/bdist.linux-x86_64/wheel/./fbgemm_gpu_nightly_rocm-2025.8.14-py3.10.egg-info 2025-08-14T21:42:19.0066352Z INFO:root:running install_scripts 2025-08-14T21:42:19.0066543Z INFO:skbuild:copied 0 files 2025-08-14T21:42:20.8167248Z ╒═════════╤════════════════════╕ 2025-08-14T21:42:20.8167546Z │ │ Version │ 2025-08-14T21:42:20.8167689Z ╞═════════╪════════════════════╡ 2025-08-14T21:42:20.8173031Z │ PyTorch │ 2.9.0a0+git1fc683c │ 2025-08-14T21:42:20.8173212Z ╘═════════╧════════════════════╛ 2025-08-14T21:42:20.8219986Z INFO:root:creating _skbuild/linux-x86_64-3.10/setuptools/bdist.linux-x86_64/wheel/fbgemm_gpu_nightly_rocm-2025.8.14.dist-info/WHEEL 2025-08-14T21:42:20.8222197Z INFO:wheel:creating 'dist/fbgemm_gpu_nightly_rocm-2025.8.14-cp310-cp310-linux_x86_64.whl' and adding '_skbuild/linux-x86_64-3.10/setuptools/bdist.linux-x86_64/wheel' to it 2025-08-14T21:42:20.8224894Z INFO:wheel:adding 'fbgemm_gpu/__init__.py' 2025-08-14T21:42:20.8389798Z INFO:wheel:adding 'fbgemm_gpu/asmjit.so' 2025-08-14T21:42:20.8393018Z INFO:wheel:adding 'fbgemm_gpu/batched_unary_embeddings_ops.py' 2025-08-14T21:42:20.8393197Z INFO:wheel:adding 'fbgemm_gpu/enums.py' 2025-08-14T21:42:20.9318566Z INFO:wheel:adding 'fbgemm_gpu/fbgemm.so' 2025-08-14T21:42:20.9350874Z INFO:wheel:adding 'fbgemm_gpu/fbgemm_gpu_config.so' 2025-08-14T21:42:20.9413015Z INFO:wheel:adding 'fbgemm_gpu/fbgemm_gpu_embedding_inplace_ops.so' 2025-08-14T21:42:21.2146819Z INFO:wheel:adding 'fbgemm_gpu/fbgemm_gpu_py.so' 2025-08-14T21:42:21.2294436Z INFO:wheel:adding 'fbgemm_gpu/fbgemm_gpu_sparse_async_cumsum.so' 2025-08-14T21:42:21.2766909Z INFO:wheel:adding 'fbgemm_gpu/fbgemm_gpu_tbe_cache.so' 2025-08-14T21:42:21.3014432Z INFO:wheel:adding 'fbgemm_gpu/fbgemm_gpu_tbe_common.so' 2025-08-14T21:42:21.3409935Z INFO:wheel:adding 'fbgemm_gpu/fbgemm_gpu_tbe_index_select.so' 2025-08-14T21:42:22.6505109Z INFO:wheel:adding 'fbgemm_gpu/fbgemm_gpu_tbe_inference.so' 2025-08-14T21:42:22.7078513Z INFO:wheel:adding 'fbgemm_gpu/fbgemm_gpu_tbe_optimizers.so' 2025-08-14T21:42:25.2298480Z INFO:wheel:adding 'fbgemm_gpu/fbgemm_gpu_tbe_training_backward.so' 2025-08-14T21:42:25.4047751Z INFO:wheel:adding 'fbgemm_gpu/fbgemm_gpu_tbe_training_backward_dense.so' 2025-08-14T21:42:25.6712229Z INFO:wheel:adding 'fbgemm_gpu/fbgemm_gpu_tbe_training_backward_gwd.so' 2025-08-14T21:42:25.9149312Z INFO:wheel:adding 'fbgemm_gpu/fbgemm_gpu_tbe_training_backward_pt2.so' 2025-08-14T21:42:26.0434680Z INFO:wheel:adding 'fbgemm_gpu/fbgemm_gpu_tbe_training_backward_split_host.so' 2025-08-14T21:42:26.6326828Z INFO:wheel:adding 'fbgemm_gpu/fbgemm_gpu_tbe_training_backward_vbe.so' 2025-08-14T21:42:28.2688013Z INFO:wheel:adding 'fbgemm_gpu/fbgemm_gpu_tbe_training_forward.so' 2025-08-14T21:42:28.3752975Z INFO:wheel:adding 'fbgemm_gpu/fbgemm_gpu_tbe_utils.so' 2025-08-14T21:42:28.3764158Z INFO:wheel:adding 'fbgemm_gpu/metrics.py' 2025-08-14T21:42:28.3764509Z INFO:wheel:adding 'fbgemm_gpu/permute_pooled_embedding_modules.py' 2025-08-14T21:42:28.3765484Z INFO:wheel:adding 'fbgemm_gpu/permute_pooled_embedding_modules_split.py' 2025-08-14T21:42:28.3767762Z INFO:wheel:adding 'fbgemm_gpu/quantize_comm.py' 2025-08-14T21:42:28.3768843Z INFO:wheel:adding 'fbgemm_gpu/quantize_utils.py' 2025-08-14T21:42:28.3770333Z INFO:wheel:adding 'fbgemm_gpu/runtime_monitor.py' 2025-08-14T21:42:28.3776451Z INFO:wheel:adding 'fbgemm_gpu/sparse_ops.py' 2025-08-14T21:42:28.3778750Z INFO:wheel:adding 'fbgemm_gpu/split_embedding_configs.py' 2025-08-14T21:42:28.3780016Z INFO:wheel:adding 'fbgemm_gpu/split_embedding_inference_converter.py' 2025-08-14T21:42:28.3786642Z INFO:wheel:adding 'fbgemm_gpu/split_embedding_optimizer_ops.py' 2025-08-14T21:42:28.3786927Z INFO:wheel:adding 'fbgemm_gpu/split_embedding_utils.py' 2025-08-14T21:42:28.3787134Z INFO:wheel:adding 'fbgemm_gpu/split_table_batched_embeddings_ops.py' 2025-08-14T21:42:28.3787356Z INFO:wheel:adding 'fbgemm_gpu/split_table_batched_embeddings_ops_common.py' 2025-08-14T21:42:28.3795861Z INFO:wheel:adding 'fbgemm_gpu/split_table_batched_embeddings_ops_inference.py' 2025-08-14T21:42:28.3819945Z INFO:wheel:adding 'fbgemm_gpu/split_table_batched_embeddings_ops_training.py' 2025-08-14T21:42:28.3821855Z INFO:wheel:adding 'fbgemm_gpu/split_table_batched_embeddings_ops_training_common.py' 2025-08-14T21:42:28.3822327Z INFO:wheel:adding 'fbgemm_gpu/ssd_split_table_batched_embeddings_ops.py' 2025-08-14T21:42:28.3823659Z INFO:wheel:adding 'fbgemm_gpu/tbe_input_multiplexer.py' 2025-08-14T21:42:28.3825193Z INFO:wheel:adding 'fbgemm_gpu/uvm.py' 2025-08-14T21:42:28.3825350Z INFO:wheel:adding 'fbgemm_gpu/config/__init__.py' 2025-08-14T21:42:28.3827352Z INFO:wheel:adding 'fbgemm_gpu/config/feature_list.py' 2025-08-14T21:42:28.3827517Z INFO:wheel:adding 'fbgemm_gpu/docs/__init__.py' 2025-08-14T21:42:28.3827666Z INFO:wheel:adding 'fbgemm_gpu/docs/common.py' 2025-08-14T21:42:28.3828297Z INFO:wheel:adding 'fbgemm_gpu/docs/examples.py' 2025-08-14T21:42:28.3829637Z INFO:wheel:adding 'fbgemm_gpu/docs/jagged_tensor_ops.py' 2025-08-14T21:42:28.3829841Z INFO:wheel:adding 'fbgemm_gpu/docs/merge_pooled_embedding_ops.py' 2025-08-14T21:42:28.3831240Z INFO:wheel:adding 'fbgemm_gpu/docs/permute_pooled_embedding_ops.py' 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'fbgemm_gpu/sll/triton/triton_jagged_softmax.py' 2025-08-14T21:42:28.3865309Z INFO:wheel:adding 'fbgemm_gpu/sll/triton/triton_multi_head_jagged_flash_attention.py' 2025-08-14T21:42:28.3866033Z INFO:wheel:adding 'fbgemm_gpu/split_embedding_codegen_lookup_invokers/__init__.py' 2025-08-14T21:42:28.3869057Z INFO:wheel:adding 'fbgemm_gpu/split_embedding_codegen_lookup_invokers/lookup_adagrad.py' 2025-08-14T21:42:28.3869325Z INFO:wheel:adding 'fbgemm_gpu/split_embedding_codegen_lookup_invokers/lookup_adam.py' 2025-08-14T21:42:28.3869766Z INFO:wheel:adding 'fbgemm_gpu/split_embedding_codegen_lookup_invokers/lookup_args.py' 2025-08-14T21:42:28.3870592Z INFO:wheel:adding 'fbgemm_gpu/split_embedding_codegen_lookup_invokers/lookup_args_ssd.py' 2025-08-14T21:42:28.3872016Z INFO:wheel:adding 'fbgemm_gpu/split_embedding_codegen_lookup_invokers/lookup_lamb.py' 2025-08-14T21:42:28.3873408Z INFO:wheel:adding 'fbgemm_gpu/split_embedding_codegen_lookup_invokers/lookup_lars_sgd.py' 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2025-08-14T21:42:28.7303352Z + popd 2025-08-14T21:42:28.7303642Z ~/pytorch 2025-08-14T21:42:28.7303918Z + mkdir -p dist/fbgemm_gpu 2025-08-14T21:42:28.7315841Z + cp fbgemm/fbgemm_gpu/dist/fbgemm_gpu_nightly_rocm-2025.8.14-cp310-cp310-linux_x86_64.whl dist/fbgemm_gpu 2025-08-14T21:42:28.7629548Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:42:28.7630196Z + pip_install_whl dist/fbgemm_gpu/fbgemm_gpu_nightly_rocm-2025.8.14-cp310-cp310-linux_x86_64.whl 2025-08-14T21:42:28.7630934Z + args=('dist/fbgemm_gpu/fbgemm_gpu_nightly_rocm-2025.8.14-cp310-cp310-linux_x86_64.whl') 2025-08-14T21:42:28.7631416Z + local args 2025-08-14T21:42:28.7638239Z + [[ dist/fbgemm_gpu/fbgemm_gpu_nightly_rocm-2025.8.14-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-08-14T21:42:28.7638586Z + for path in "${args[@]}" 2025-08-14T21:42:28.7638907Z + echo 'Installing dist/fbgemm_gpu/fbgemm_gpu_nightly_rocm-2025.8.14-cp310-cp310-linux_x86_64.whl' 2025-08-14T21:42:28.7639346Z Installing dist/fbgemm_gpu/fbgemm_gpu_nightly_rocm-2025.8.14-cp310-cp310-linux_x86_64.whl 2025-08-14T21:42:28.7639851Z + python3 -mpip install --no-index --no-deps dist/fbgemm_gpu/fbgemm_gpu_nightly_rocm-2025.8.14-cp310-cp310-linux_x86_64.whl 2025-08-14T21:42:28.9235023Z Processing ./dist/fbgemm_gpu/fbgemm_gpu_nightly_rocm-2025.8.14-cp310-cp310-linux_x86_64.whl 2025-08-14T21:42:28.9771093Z Installing collected packages: fbgemm-gpu-nightly-rocm 2025-08-14T21:42:30.0738681Z Successfully installed fbgemm-gpu-nightly-rocm-2025.8.14 2025-08-14T21:42:30.0937152Z + rm -rf fbgemm 2025-08-14T21:42:30.7700093Z + PYTHONPATH=/torchbench 2025-08-14T21:42:30.7701547Z + test_dynamo_benchmark torchbench 0 2025-08-14T21:42:30.7704231Z ++ pwd 2025-08-14T21:42:30.7705609Z + TEST_REPORTS_DIR=/var/lib/jenkins/pytorch/test/test-reports 2025-08-14T21:42:30.7705992Z + local suite=torchbench 2025-08-14T21:42:30.7706226Z + shift 2025-08-14T21:42:30.7706420Z + local shard_id=0 2025-08-14T21:42:30.7706623Z + shift 2025-08-14T21:42:30.7706872Z + [[ dynamic_aot_eager_torchbench == *perf_compare* ]] 2025-08-14T21:42:30.7707203Z + [[ dynamic_aot_eager_torchbench == *perf* ]] 2025-08-14T21:42:30.7714869Z + [[ dynamic_aot_eager_torchbench == *cpu* ]] 2025-08-14T21:42:30.7715503Z + [[ dynamic_aot_eager_torchbench == *aot_inductor* ]] 2025-08-14T21:42:30.7715792Z + [[ dynamic_aot_eager_torchbench == *max_autotune_inductor* ]] 2025-08-14T21:42:30.7716256Z + test_single_dynamo_benchmark inference torchbench 0 --inference --bfloat16 2025-08-14T21:42:30.7716712Z ++ pwd 2025-08-14T21:42:30.7717006Z + TEST_REPORTS_DIR=/var/lib/jenkins/pytorch/test/test-reports 2025-08-14T21:42:30.7717421Z + mkdir -p /var/lib/jenkins/pytorch/test/test-reports 2025-08-14T21:42:30.7730667Z + local name=inference 2025-08-14T21:42:30.7731523Z + shift 2025-08-14T21:42:30.7731755Z + local suite=torchbench 2025-08-14T21:42:30.7731956Z + shift 2025-08-14T21:42:30.7736630Z + local shard_id=0 2025-08-14T21:42:30.7736815Z + shift 2025-08-14T21:42:30.7737000Z + partition_flags=() 2025-08-14T21:42:30.7737197Z + local partition_flags 2025-08-14T21:42:30.7737394Z + [[ -n 2 ]] 2025-08-14T21:42:30.7737555Z + [[ -n 0 ]] 2025-08-14T21:42:30.7737855Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-08-14T21:42:30.7738260Z + [[ dynamic_aot_eager_torchbench == *perf_compare* ]] 2025-08-14T21:42:30.7738551Z + [[ dynamic_aot_eager_torchbench == *perf* ]] 2025-08-14T21:42:30.7738796Z + [[ dynamic_aot_eager_torchbench == *_avx2* ]] 2025-08-14T21:42:30.7741514Z + [[ dynamic_aot_eager_torchbench == *_avx512* ]] 2025-08-14T21:42:30.7742497Z + python benchmarks/dynamo/torchbench.py --ci --accuracy --timing --explain --print-compilation-time --backend aot_eager --dynamic-shapes --dynamic-batch-only --device cuda --inference --bfloat16 --total-partitions 2 --partition-id 0 --output /var/lib/jenkins/pytorch/test/test-reports/inference_torchbench.csv 2025-08-14T21:42:34.2188968Z 2025-08-14T21:42:34.3360051Z loading model: 0it [00:00, ?it/s]ERROR:root:Could not load the library 'fbgemm_gpu_py.so'! 2025-08-14T21:42:34.3360339Z 2025-08-14T21:42:34.3360346Z 2025-08-14T21:42:34.3360571Z Could not load this library: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/fbgemm_gpu/fbgemm_gpu_py.so 2025-08-14T21:42:34.3360867Z 2025-08-14T21:42:34.3360869Z 2025-08-14T21:42:34.3360871Z 2025-08-14T21:42:34.3360873Z 2025-08-14T21:42:34.3361337Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:42:34.3361523Z cuda eval torchrec_dlrm 2025-08-14T21:42:34.3369022Z Traceback (most recent call last): 2025-08-14T21:42:34.3369320Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_ops.py", line 1487, in load_library 2025-08-14T21:42:34.3369629Z ctypes.CDLL(path) 2025-08-14T21:42:34.3375922Z File "/opt/conda/envs/py_3.10/lib/python3.10/ctypes/__init__.py", line 374, in __init__ 2025-08-14T21:42:34.3376139Z self._handle = _dlopen(self._name, mode) 2025-08-14T21:42:34.3376474Z OSError: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/fbgemm_gpu/fbgemm_gpu_py.so: undefined symbol: _ZN3tbb6detail2r117deallocate_memoryEPv 2025-08-14T21:42:34.3376740Z 2025-08-14T21:42:34.3376840Z The above exception was the direct cause of the following exception: 2025-08-14T21:42:34.3376980Z 2025-08-14T21:42:34.3377039Z Traceback (most recent call last): 2025-08-14T21:42:34.3377243Z File "/var/lib/jenkins/pytorch/benchmarks/dynamo/common.py", line 4124, in run 2025-08-14T21:42:34.3377443Z ) = runner.load_model( 2025-08-14T21:42:34.3377649Z File "/var/lib/jenkins/pytorch/benchmarks/dynamo/torchbench.py", line 259, in load_model 2025-08-14T21:42:34.3377876Z module = importlib.import_module(c) 2025-08-14T21:42:34.3378096Z File "/opt/conda/envs/py_3.10/lib/python3.10/importlib/__init__.py", line 126, in import_module 2025-08-14T21:42:34.3378351Z return _bootstrap._gcd_import(name[level:], package, level) 2025-08-14T21:42:34.3378561Z File "", line 1050, in _gcd_import 2025-08-14T21:42:34.3380360Z File "", line 1027, in _find_and_load 2025-08-14T21:42:34.3380583Z File "", line 1006, in _find_and_load_unlocked 2025-08-14T21:42:34.3380799Z File "", line 688, in _load_unlocked 2025-08-14T21:42:34.3381134Z File "", line 883, in exec_module 2025-08-14T21:42:34.3381361Z File "", line 241, in _call_with_frames_removed 2025-08-14T21:42:34.3381634Z File "/torchbench/torchbenchmark/canary_models/torchrec_dlrm/__init__.py", line 7, in 2025-08-14T21:42:34.3381878Z from .data.dlrm_dataloader import get_dataloader 2025-08-14T21:42:34.3382139Z File "/torchbench/torchbenchmark/canary_models/torchrec_dlrm/data/dlrm_dataloader.py", line 13, in 2025-08-14T21:42:34.3382394Z from torchrec.datasets.criteo import ( 2025-08-14T21:42:34.3382631Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchrec/__init__.py", line 8, in 2025-08-14T21:42:34.3382987Z import torchrec.distributed # noqa 2025-08-14T21:42:34.3384305Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchrec/distributed/__init__.py", line 36, in 2025-08-14T21:42:34.3384591Z from torchrec.distributed.model_parallel import DistributedModelParallel # noqa 2025-08-14T21:42:34.3384886Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchrec/distributed/model_parallel.py", line 21, in 2025-08-14T21:42:34.3385201Z from torchrec.distributed.planner import ( 2025-08-14T21:42:34.3385441Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchrec/distributed/planner/__init__.py", line 22, in 2025-08-14T21:42:34.3385741Z from torchrec.distributed.planner.planners import EmbeddingShardingPlanner # noqa 2025-08-14T21:42:34.3386041Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchrec/distributed/planner/planners.py", line 19, in 2025-08-14T21:42:34.3386321Z from torchrec.distributed.planner.constants import BATCH_SIZE, MAX_SIZE 2025-08-14T21:42:34.3386602Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchrec/distributed/planner/constants.py", line 10, in 2025-08-14T21:42:34.3386887Z from torchrec.distributed.embedding_types import EmbeddingComputeKernel 2025-08-14T21:42:34.3388176Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchrec/distributed/embedding_types.py", line 14, in 2025-08-14T21:42:34.3388476Z from fbgemm_gpu.split_table_batched_embeddings_ops_training import EmbeddingLocation 2025-08-14T21:42:34.3388739Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fbgemm_gpu/__init__.py", line 90, in 2025-08-14T21:42:34.3388958Z _load_library(f"{library}.so", __variant__ == "docs") 2025-08-14T21:42:34.3389181Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fbgemm_gpu/__init__.py", line 22, in _load_library 2025-08-14T21:42:34.3389379Z raise error 2025-08-14T21:42:34.3389558Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fbgemm_gpu/__init__.py", line 17, in _load_library 2025-08-14T21:42:34.3389808Z torch.ops.load_library(os.path.join(os.path.dirname(__file__), filename)) 2025-08-14T21:42:34.3390046Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_ops.py", line 1489, in load_library 2025-08-14T21:42:34.3390270Z raise OSError(f"Could not load this library: {path}") from e 2025-08-14T21:42:34.3390516Z OSError: Could not load this library: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/fbgemm_gpu/fbgemm_gpu_py.so 2025-08-14T21:42:34.3390694Z 2025-08-14T21:42:34.3391635Z eager_fail_to_run 2025-08-14T21:42:36.6626024Z 2025-08-14T21:42:41.4431415Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:42:41.4431895Z loading model: 0it [00:04, ?it/s] 2025-08-14T21:42:41.4469168Z cuda eval BERT_pytorch 2025-08-14T21:42:55.3103031Z Compilation time (from dynamo_timed): 13.530422916 2025-08-14T21:42:55.3110580Z pass 2025-08-14T21:42:55.3119203Z TIMING: backend_compile:5.91144 gc:0.00047 entire_frame_compile:13.53042 total_wall_time:13.53042 2025-08-14T21:42:55.3119864Z STATS: call_* op count: 543 | FakeTensor.__torch_dispatch__:135 | FakeTensorMode.__torch_dispatch__:12744 | attempt fast:46 | fast is_contiguous:46 | ProxyTorchDispatchMode.__torch_dispatch__:5149 2025-08-14T21:42:55.3120980Z Dynamo produced 1 graphs covering 543 ops with 0 graph breaks (0 unique) 2025-08-14T21:42:59.6709015Z 2025-08-14T21:43:29.7297616Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:43:29.7297871Z loading model: 0it [00:30, ?it/s] 2025-08-14T21:43:29.7333023Z cuda eval Background_Matting 2025-08-14T21:43:29.7345323Z Compilation time (from dynamo_timed): 0 2025-08-14T21:43:29.7351844Z pass_due_to_skip 2025-08-14T21:43:29.7397723Z TIMING: total_wall_time:0 2025-08-14T21:43:29.7397880Z STATS: call_* op count: 0 2025-08-14T21:43:29.7398205Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique) 2025-08-14T21:43:32.2792027Z 2025-08-14T21:43:53.5574434Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:43:53.5574813Z loading model: 0it [00:21, ?it/s] 2025-08-14T21:43:53.5580482Z cuda eval LearningToPaint 2025-08-14T21:43:53.5636564Z [W814 21:43:53.228984496 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:53.6270982Z [W814 21:43:53.292226540 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:53.6272011Z [W814 21:43:53.292509485 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:53.6272447Z [W814 21:43:53.292709331 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:53.6275177Z [W814 21:43:53.292984325 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:53.6279400Z [W814 21:43:53.293187651 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:53.6279793Z [W814 21:43:53.293388627 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:53.6286720Z [W814 21:43:53.293600352 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:53.6287074Z [W814 21:43:53.293794058 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:53.6287584Z [W814 21:43:53.294008683 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:53.6287917Z [W814 21:43:53.294196470 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:53.6288243Z [W814 21:43:53.294394875 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:53.6290273Z [W814 21:43:53.294598931 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:53.6291970Z [W814 21:43:53.294783517 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:53.6294609Z [W814 21:43:53.295013922 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:53.6296133Z [W814 21:43:53.295199709 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:53.6298886Z [W814 21:43:53.295392485 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:53.6303085Z [W814 21:43:53.295616200 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:53.6303386Z [W814 21:43:53.295826825 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:53.6304841Z [W814 21:43:53.296055010 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:53.6306980Z [W814 21:43:53.296249387 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:53.6798503Z [W814 21:43:53.345252379 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:53.6801701Z [W814 21:43:53.345730920 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:53.6803834Z [W814 21:43:53.345957805 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:53.6805833Z [W814 21:43:53.346161281 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:53.6808190Z [W814 21:43:53.346379366 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:53.6809769Z [W814 21:43:53.346563122 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:53.6812103Z [W814 21:43:53.346761218 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:53.6816745Z [W814 21:43:53.346967714 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:53.6817016Z [W814 21:43:53.347163380 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:53.6817505Z [W814 21:43:53.347367845 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:53.6819403Z [W814 21:43:53.347554111 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:53.6821313Z [W814 21:43:53.347751287 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:53.6826138Z [W814 21:43:53.347939213 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:53.6826712Z [W814 21:43:53.348138019 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:53.6905426Z [W814 21:43:53.348331795 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:53.6906023Z [W814 21:43:53.348518061 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:53.6906642Z [W814 21:43:53.348708997 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:53.6911456Z [W814 21:43:53.348913223 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:53.6912106Z [W814 21:43:53.349133878 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:53.6912648Z [W814 21:43:53.349324523 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:53.6913493Z [W814 21:43:53.349514560 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:54.6660832Z Compilation time (from dynamo_timed): 0.875538192 2025-08-14T21:43:54.6661108Z pass 2025-08-14T21:43:54.6663720Z TIMING: backend_compile:0.28439 gc:0.00022 entire_frame_compile:0.87554 total_wall_time:0.87554 2025-08-14T21:43:54.6664183Z STATS: call_* op count: 71 | FakeTensorMode.__torch_dispatch__:2804 | FakeTensor.__torch_dispatch__:2 | ProxyTorchDispatchMode.__torch_dispatch__:1104 2025-08-14T21:43:54.6664644Z Dynamo produced 1 graphs covering 71 ops with 0 graph breaks (0 unique) 2025-08-14T21:43:57.5655845Z 2025-08-14T21:43:58.2870348Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/vgg16-397923af.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/vgg16-397923af.pth 2025-08-14T21:43:58.3263128Z 2025-08-14T21:43:58.3263135Z 2025-08-14T21:43:58.4267679Z 0% 0.00/528M [00:00", line 1050, in _gcd_import 2025-08-14T21:56:00.9874946Z File "", line 1027, in _find_and_load 2025-08-14T21:56:00.9875217Z File "", line 1006, in _find_and_load_unlocked 2025-08-14T21:56:00.9875512Z File "", line 688, in _load_unlocked 2025-08-14T21:56:00.9877259Z File "", line 883, in exec_module 2025-08-14T21:56:00.9877479Z File "", line 241, in _call_with_frames_removed 2025-08-14T21:56:00.9877742Z File "/torchbench/torchbenchmark/canary_models/torchrec_dlrm/__init__.py", line 7, in 2025-08-14T21:56:00.9877989Z from .data.dlrm_dataloader import get_dataloader 2025-08-14T21:56:00.9878243Z File "/torchbench/torchbenchmark/canary_models/torchrec_dlrm/data/dlrm_dataloader.py", line 13, in 2025-08-14T21:56:00.9878495Z from torchrec.datasets.criteo import ( 2025-08-14T21:56:00.9878724Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchrec/__init__.py", line 8, in 2025-08-14T21:56:00.9878951Z import torchrec.distributed # noqa 2025-08-14T21:56:00.9879195Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchrec/distributed/__init__.py", line 36, in 2025-08-14T21:56:00.9879512Z from torchrec.distributed.model_parallel import DistributedModelParallel # noqa 2025-08-14T21:56:00.9879835Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchrec/distributed/model_parallel.py", line 21, in 2025-08-14T21:56:00.9881316Z from torchrec.distributed.planner import ( 2025-08-14T21:56:00.9881588Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchrec/distributed/planner/__init__.py", line 22, in 2025-08-14T21:56:00.9881926Z from torchrec.distributed.planner.planners import EmbeddingShardingPlanner # noqa 2025-08-14T21:56:00.9882312Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchrec/distributed/planner/planners.py", line 19, in 2025-08-14T21:56:00.9882631Z from torchrec.distributed.planner.constants import BATCH_SIZE, MAX_SIZE 2025-08-14T21:56:00.9883035Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchrec/distributed/planner/constants.py", line 10, in 2025-08-14T21:56:00.9883355Z from torchrec.distributed.embedding_types import EmbeddingComputeKernel 2025-08-14T21:56:00.9883666Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchrec/distributed/embedding_types.py", line 14, in 2025-08-14T21:56:00.9883990Z from fbgemm_gpu.split_table_batched_embeddings_ops_training import EmbeddingLocation 2025-08-14T21:56:00.9884285Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fbgemm_gpu/__init__.py", line 90, in 2025-08-14T21:56:00.9884533Z _load_library(f"{library}.so", __variant__ == "docs") 2025-08-14T21:56:00.9885805Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fbgemm_gpu/__init__.py", line 22, in _load_library 2025-08-14T21:56:00.9886007Z raise error 2025-08-14T21:56:00.9886189Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fbgemm_gpu/__init__.py", line 17, in _load_library 2025-08-14T21:56:00.9886440Z torch.ops.load_library(os.path.join(os.path.dirname(__file__), filename)) 2025-08-14T21:56:00.9886679Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_ops.py", line 1489, in load_library 2025-08-14T21:56:00.9886901Z raise OSError(f"Could not load this library: {path}") from e 2025-08-14T21:56:00.9887147Z OSError: Could not load this library: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/fbgemm_gpu/fbgemm_gpu_py.so 2025-08-14T21:56:00.9887326Z 2025-08-14T21:56:00.9887388Z eager_fail_to_run 2025-08-14T21:56:03.2987897Z 2025-08-14T21:56:08.9743566Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:56:08.9743941Z loading model: 0it [00:05, ?it/s] 2025-08-14T21:56:08.9744994Z cuda train BERT_pytorch 2025-08-14T21:56:36.7103481Z Compilation time (from dynamo_timed): 27.000184763 2025-08-14T21:56:36.7128016Z pass 2025-08-14T21:56:36.7424125Z TIMING: gc:0.00259 entire_frame_compile:27.00018 backend_compile:15.42403 total_wall_time:27.00018 2025-08-14T21:56:36.7427244Z STATS: call_* op count: 547 | FakeTensor.__torch_dispatch__:305 | FakeTensorMode.__torch_dispatch__:31193 | attempt fast:129 | fast is_contiguous:129 | ProxyTorchDispatchMode.__torch_dispatch__:15814 2025-08-14T21:56:36.7428237Z Dynamo produced 2 graphs covering 547 ops with 6 graph breaks (5 unique) 2025-08-14T21:56:44.0648623Z 2025-08-14T22:06:43.9485047Z loading model: 0it [00:00, ?it/s]Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9485525Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9485914Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9486275Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9486689Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9492356Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9492978Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9493550Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9493910Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9494355Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9494715Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9495069Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9495423Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9495789Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9496148Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9496613Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9498691Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9499074Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9499426Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9499780Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9500221Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9500575Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9500931Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9501283Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9501635Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9501989Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9502343Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9502708Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9503162Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9503573Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9504095Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9504494Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9506557Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9506926Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9507330Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9507686Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9508065Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9508424Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9508779Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9509134Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9509492Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9509849Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9511354Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9511724Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9512088Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9512441Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9512879Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9513273Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9513645Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9514005Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9514361Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9514717Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9517097Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9517474Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9517831Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9518189Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9518545Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9518902Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9519260Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9519616Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9520029Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9520390Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9520770Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9522253Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9522606Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9523043Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9523398Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9523756Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9524110Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9524495Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9524851Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:06:43.9525204Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8684485Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8685584Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8687002Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8698383Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8699093Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8699725Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8700229Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8700647Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8701046Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8701436Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8701826Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8702220Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8702608Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8703090Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8703480Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8703976Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8704413Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8704991Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8710517Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8710911Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8711269Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8711624Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8711992Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8712347Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8712867Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8713222Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8713577Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8713931Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8716050Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8716474Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8716833Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8717192Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8717547Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8717904Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8718260Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8718619Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8718974Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8719334Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8720871Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8721231Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8721587Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8721940Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8722324Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8722676Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8723128Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8723483Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8723839Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8724192Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8724557Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8725926Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8726314Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8726669Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8727021Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8727373Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8727725Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8728079Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8728455Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8728811Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8729164Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8729518Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8730834Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8731189Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8731547Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8731902Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8732261Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8732614Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8733136Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8733494Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8733850Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8734240Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8734597Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:07:43.8736489Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6798206Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6798885Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6799579Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6800240Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6800855Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6801835Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6806190Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6806652Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6807029Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6813803Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6814447Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6814817Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6815205Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6815571Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6815940Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6816303Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6816663Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6817039Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6817403Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6817778Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6818139Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6818505Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6818866Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6819249Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6821295Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6821675Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6822103Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6822462Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6822961Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6823317Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6823679Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6824033Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6824459Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6824818Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6825176Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6826741Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6827099Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6827494Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6827852Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6828215Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6828570Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6828925Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6829282Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6829655Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6830019Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6831707Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6832093Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6832450Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6832913Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6833270Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6833678Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6834040Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6834430Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6834787Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6835149Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6835506Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6835866Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6836227Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6836584Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6836962Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6838523Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6838908Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6839266Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6839623Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6840016Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6840377Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6840740Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6841098Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6841456Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6841814Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6842173Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6843706Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6844070Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6844428Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6844786Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6845143Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6845500Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6845896Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6846256Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6846652Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6847027Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6847386Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6848759Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6849117Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6849481Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6849839Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6850225Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6850581Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6850938Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6851293Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6851651Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6852029Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6853499Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6853866Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6854224Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6854580Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6854937Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6855298Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6855652Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6856011Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6856366Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6856724Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6857081Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6858398Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6858799Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6859156Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6859535Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6859893Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6860251Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6860610Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6860969Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6861334Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6861719Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6862078Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6863507Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6863868Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6864226Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6864627Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6864987Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:08:04.6865353Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7416415Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7416960Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7417331Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7417694Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7418093Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7418458Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7418838Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7424380Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7424748Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7425112Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7425473Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7426043Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7426400Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7426848Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7427206Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7427729Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7428319Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7430856Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7431447Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7431975Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7432332Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7432687Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7433118Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7433472Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7433914Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7434275Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7434633Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7436358Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7436732Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7437087Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7437440Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7437796Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7438149Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7438503Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7438855Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7439209Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7439563Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7439964Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7440319Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7440706Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7441070Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7441432Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7442883Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7443237Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7443595Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7443948Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7444332Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7444690Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7445322Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7445803Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7446394Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7447025Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7448988Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7449592Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7450079Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7450431Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7450782Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7451138Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7451496Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7451851Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7452202Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7452553Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7452974Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7454508Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7454919Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7455272Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7455657Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7456012Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7456366Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7456718Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7457071Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:09.7457427Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3693787Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3701006Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3701409Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3701788Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3702166Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3702542Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3703232Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3703611Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3703991Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3704363Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3704731Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3705095Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3705471Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3705847Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3706229Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3706605Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3706982Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3707359Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3707764Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3708243Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3708699Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3709167Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3709565Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3709995Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3710396Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3710807Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3711219Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3711623Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3712043Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3712453Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3712928Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3713346Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3715179Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3715557Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3715928Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3716308Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3716673Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3717039Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3717405Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3717774Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3718139Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3718507Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3718871Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3721052Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3721433Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3721800Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3722212Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3722578Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3723051Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3723417Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3723783Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3724149Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3724517Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3726737Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3727164Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3727531Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3727896Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3728262Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3728627Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3729026Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3729393Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3729763Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3730130Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3731611Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3731988Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3732354Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3732814Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3733182Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3733553Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3733917Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3734416Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3734798Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3735205Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3736765Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3737133Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3737521Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3737883Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3738245Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3738607Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3738972Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3739348Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3739745Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3740111Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3740473Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3741841Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3742211Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3742600Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3743060Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3743425Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3743786Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3744147Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3744513Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3744874Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3745237Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3745599Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3747058Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3747421Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3747784Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3748143Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3748543Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3749041Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3749637Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3750108Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3750577Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3751052Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3752867Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3753335Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3753797Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3754297Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3754767Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3755234Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3755698Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3756174Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3756666Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3757140Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3759141Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3759686Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3760160Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3760622Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:35.3761099Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4209976Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4211188Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4212185Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4213120Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4213530Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4213934Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4214731Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4215138Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4215647Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4221884Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4222296Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4222700Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4223126Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4223485Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4223915Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4224268Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4224620Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4224974Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4225334Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4225688Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4227511Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4227870Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4228223Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4228578Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4231095Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4233061Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4233960Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4234719Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4235486Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4236227Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4243916Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4244491Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4245054Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4245892Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4246458Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4247113Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4247666Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4248230Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4248781Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4249333Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4249890Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4250519Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4251090Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4251656Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4252222Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4252831Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4253360Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4253790Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4258917Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4259361Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4259786Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4260208Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4260629Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4261055Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4261482Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4261911Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4262337Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4262819Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4264755Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4265119Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4265555Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4265910Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4266302Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4266655Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4267010Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4267364Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4267721Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4268079Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4268455Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4269939Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4270294Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:52.4270648Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6671866Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6673083Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6673682Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6674287Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6674869Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6675454Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6676029Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6676608Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6677194Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6677771Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6680941Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6681538Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6682061Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6682492Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6683100Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6683532Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6684028Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6684474Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6684906Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6685347Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6685777Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6686222Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6686658Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6687151Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6687601Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6688034Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6689796Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6690235Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6690740Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6691186Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6691621Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6691985Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6692338Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6692691Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6693137Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6693497Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6695027Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6695386Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6695740Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6696092Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6696444Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6696839Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6697192Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6697570Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6697928Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6698281Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6698635Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6699908Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6700270Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6700622Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6701004Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6701357Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6701709Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6702061Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6702418Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6702862Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6703217Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6704487Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6704847Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6705202Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6705555Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6705913Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6706266Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6706624Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6706980Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6707334Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6707687Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6708039Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6709307Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6709664Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6710042Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:01.6710395Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5182520Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5183266Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5183649Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5184101Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5184749Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5185125Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5185492Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5185857Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5186221Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5186657Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5187020Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5189126Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5189494Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5189866Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5190224Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5190583Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5190948Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5191308Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5203235Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5203629Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5204005Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5213621Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5214280Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5215052Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5215443Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5215901Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5216277Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5216654Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5217025Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5217403Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5223391Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5223887Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5224249Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5224618Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5224983Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5225345Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5225769Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5226133Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5226497Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5226859Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5227221Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5227586Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5227956Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5228325Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5228694Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5229061Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5229427Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5229791Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5230167Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5230563Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5230941Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5232886Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5233253Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5233614Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5233975Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5234336Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5234704Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5235062Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5235450Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5235812Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5236174Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5236535Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5237954Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5238367Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5238730Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5239095Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5239456Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5239817Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5240176Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5240540Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5240907Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:18:12.5241271Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:24:03.0624954Z 2025-08-14T22:24:03.0625378Z loading model: 0it [27:18, ?it/s] 2025-08-14T22:24:03.0625604Z cuda train Background_Matting 2025-08-14T22:24:03.0625777Z Compilation time (from dynamo_timed): 0 2025-08-14T22:24:03.0625929Z pass_due_to_skip 2025-08-14T22:24:03.0630880Z TIMING: total_wall_time:0 2025-08-14T22:24:03.0631018Z STATS: call_* op count: 0 2025-08-14T22:24:03.0631188Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique) 2025-08-14T22:24:05.6731210Z 2025-08-14T22:24:35.5659130Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:24:35.5660303Z loading model: 0it [00:29, ?it/s] 2025-08-14T22:24:35.5676556Z cuda train LearningToPaint 2025-08-14T22:24:35.5737220Z [W814 22:24:35.238870671 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.6494105Z [W814 22:24:35.314716788 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.6496185Z [W814 22:24:35.315067061 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.6497559Z [W814 22:24:35.315303236 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.6501391Z [W814 22:24:35.315657159 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.6503731Z [W814 22:24:35.315930453 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.6506857Z [W814 22:24:35.316256086 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.6509812Z [W814 22:24:35.316564739 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.6517856Z [W814 22:24:35.316865833 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.6518520Z [W814 22:24:35.317183577 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.6518956Z [W814 22:24:35.317475960 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.6523981Z [W814 22:24:35.317819683 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.6525181Z [W814 22:24:35.318090458 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.6527383Z [W814 22:24:35.318296183 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.6529992Z [W814 22:24:35.318579937 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.6531919Z [W814 22:24:35.318777623 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.6535219Z [W814 22:24:35.319061978 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.6537565Z [W814 22:24:35.319324452 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.6539623Z [W814 22:24:35.319545788 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.6563169Z [W814 22:24:35.319772022 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.6563472Z [W814 22:24:35.320063587 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7395154Z [W814 22:24:35.404755939 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7400095Z [W814 22:24:35.405475654 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7403612Z [W814 22:24:35.405896585 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7407394Z [W814 22:24:35.406318017 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7410903Z [W814 22:24:35.406679149 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7415575Z [W814 22:24:35.407112880 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7418605Z [W814 22:24:35.407452542 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7421777Z [W814 22:24:35.407768286 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7430760Z [W814 22:24:35.408121589 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7431017Z [W814 22:24:35.408425373 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7431887Z [W814 22:24:35.408789034 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7436186Z [W814 22:24:35.409119848 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7438482Z [W814 22:24:35.409433112 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7441725Z [W814 22:24:35.409751725 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7444754Z [W814 22:24:35.410061328 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7448035Z [W814 22:24:35.410389241 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7452102Z [W814 22:24:35.410796163 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7455628Z [W814 22:24:35.411126676 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7460389Z [W814 22:24:35.411470169 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7461870Z [W814 22:24:35.411775112 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7465728Z [W814 22:24:35.412157164 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7645964Z [W814 22:24:35.430053811 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7649990Z [W814 22:24:35.430530880 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7652169Z [W814 22:24:35.430751726 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7654144Z [W814 22:24:35.430951062 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7656463Z [W814 22:24:35.431199957 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7658405Z [W814 22:24:35.431408503 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7660278Z [W814 22:24:35.431614409 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7663677Z [W814 22:24:35.431816625 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7664081Z [W814 22:24:35.432013240 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7666058Z [W814 22:24:35.432222646 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7667865Z [W814 22:24:35.432413272 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7669829Z [W814 22:24:35.432615597 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7671769Z [W814 22:24:35.432811453 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7673867Z [W814 22:24:35.432996789 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7675791Z [W814 22:24:35.433206175 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7677647Z [W814 22:24:35.433395301 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7679670Z [W814 22:24:35.433599047 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7683411Z [W814 22:24:35.433814952 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7684202Z [W814 22:24:35.434022688 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7685891Z [W814 22:24:35.434226164 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7687997Z [W814 22:24:35.434429129 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7700895Z [W814 22:24:35.435650244 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7704021Z [W814 22:24:35.435989497 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7707579Z [W814 22:24:35.436340589 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7710641Z [W814 22:24:35.436653143 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7713779Z [W814 22:24:35.436963217 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7717132Z [W814 22:24:35.437300570 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7720144Z [W814 22:24:35.437608893 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7723456Z [W814 22:24:35.437928017 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7727096Z [W814 22:24:35.438239819 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7729543Z [W814 22:24:35.438548353 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7732659Z [W814 22:24:35.438866977 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7736111Z [W814 22:24:35.439185411 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7739245Z [W814 22:24:35.439512864 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7742225Z [W814 22:24:35.439814187 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7745490Z [W814 22:24:35.440131861 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7748553Z [W814 22:24:35.440451124 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7751641Z [W814 22:24:35.440760757 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7756534Z [W814 22:24:35.441092460 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7758107Z [W814 22:24:35.441410954 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7761245Z [W814 22:24:35.441720187 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.7764631Z [W814 22:24:35.442046190 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:43.3205827Z Compilation time (from dynamo_timed): 7.355087759 2025-08-14T22:24:43.3207247Z pass 2025-08-14T22:24:43.3244724Z TIMING: gc:0.00244 entire_frame_compile:7.35509 backend_compile:2.11092 total_wall_time:7.35509 2025-08-14T22:24:43.3246047Z STATS: call_* op count: 75 | FakeTensorMode.__torch_dispatch__:5705 | FakeTensor.__torch_dispatch__:30 | attempt fast:39 | fast is_contiguous:39 | ProxyTorchDispatchMode.__torch_dispatch__:2155 2025-08-14T22:24:43.3246489Z Dynamo produced 2 graphs covering 75 ops with 6 graph breaks (5 unique) 2025-08-14T22:24:47.2217291Z 2025-08-14T22:25:19.1819814Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:25:19.1820296Z loading model: 0it [00:31, ?it/s] 2025-08-14T22:25:19.1823117Z cuda train Super_SloMo 2025-08-14T22:25:19.1882168Z [W814 22:25:19.853611417 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2858087Z [W814 22:25:19.950266346 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2858601Z [W814 22:25:19.950796445 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2858915Z [W814 22:25:19.950986981 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2859240Z [W814 22:25:19.951163107 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2859883Z [W814 22:25:19.951335133 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2860169Z [W814 22:25:19.951499810 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2861115Z [W814 22:25:19.951660487 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2863501Z [W814 22:25:19.951821713 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2864934Z [W814 22:25:19.951979490 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2865467Z [W814 22:25:19.952182356 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2871009Z [W814 22:25:19.952380211 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2871323Z [W814 22:25:19.952641786 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2872483Z [W814 22:25:19.952854202 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2874412Z [W814 22:25:19.953053108 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2876115Z [W814 22:25:19.953239114 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2877541Z [W814 22:25:19.953395281 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2879178Z [W814 22:25:19.953549587 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2880602Z [W814 22:25:19.953702164 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2882243Z [W814 22:25:19.953867381 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2885656Z [W814 22:25:19.954175084 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2890777Z [W814 22:25:19.954395610 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2891028Z [W814 22:25:19.954640015 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2901185Z [W814 22:25:19.955683233 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2903836Z [W814 22:25:19.955978567 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2906658Z [W814 22:25:19.956267251 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2907988Z [W814 22:25:19.956414138 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2909479Z [W814 22:25:19.956564585 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2910758Z [W814 22:25:19.956706152 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2912295Z [W814 22:25:19.956855018 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2913974Z [W814 22:25:19.956996806 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2916882Z [W814 22:25:19.957159692 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2917141Z [W814 22:25:19.957299359 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2918199Z [W814 22:25:19.957462296 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2919868Z [W814 22:25:19.957617103 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2921492Z [W814 22:25:19.957787530 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2923482Z [W814 22:25:19.957952935 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2924991Z [W814 22:25:19.958133832 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2926396Z [W814 22:25:19.958285349 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2927928Z [W814 22:25:19.958436506 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2929402Z [W814 22:25:19.958582813 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2930905Z [W814 22:25:19.958732180 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2934290Z [W814 22:25:19.958887867 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2935507Z [W814 22:25:19.959055292 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2935968Z [W814 22:25:19.959206889 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2938976Z [W814 22:25:19.959488214 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2947145Z [W814 22:25:19.960297067 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2949228Z [W814 22:25:19.960531842 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2952388Z [W814 22:25:19.960823196 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2953997Z [W814 22:25:19.960996283 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2955849Z [W814 22:25:19.961189939 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2957357Z [W814 22:25:19.961361015 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2958812Z [W814 22:25:19.961508411 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2960497Z [W814 22:25:19.961663748 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2962159Z [W814 22:25:19.961818845 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2963429Z [W814 22:25:19.961965392 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2964907Z [W814 22:25:19.962116009 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2971834Z [W814 22:25:19.962256217 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2972260Z [W814 22:25:19.962571039 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2972633Z [W814 22:25:19.962715097 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2973086Z [W814 22:25:19.962865664 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2974056Z [W814 22:25:19.963020370 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2975381Z [W814 22:25:19.963160838 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2976856Z [W814 22:25:19.963320275 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2978210Z [W814 22:25:19.963458441 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.2979537Z [W814 22:25:19.963595318 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.3008993Z [W814 22:25:19.966462019 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.3868779Z [W814 22:25:19.052291743 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.3869079Z [W814 22:25:19.052491679 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.3871418Z [W814 22:25:19.052728503 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.3872920Z [W814 22:25:19.052892930 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.3874727Z [W814 22:25:19.053040667 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.3876262Z [W814 22:25:19.053212843 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.3877519Z [W814 22:25:19.053364960 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.3882801Z [W814 22:25:19.053525497 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.3883059Z [W814 22:25:19.053673383 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.3889626Z [W814 22:25:19.054535956 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4669242Z [W814 22:25:19.132216439 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4674905Z [W814 22:25:19.133039392 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4679436Z [W814 22:25:19.133496723 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4683366Z [W814 22:25:19.133909633 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4687560Z [W814 22:25:19.134321325 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4691371Z [W814 22:25:19.134720747 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4695206Z [W814 22:25:19.135089789 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4705166Z [W814 22:25:19.135489131 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4706243Z [W814 22:25:19.135891343 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4708401Z [W814 22:25:19.136424551 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4711845Z [W814 22:25:19.136792314 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4715667Z [W814 22:25:19.137152606 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4719090Z [W814 22:25:19.137507509 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4721986Z [W814 22:25:19.137806903 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4725865Z [W814 22:25:19.138176444 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4728902Z [W814 22:25:19.138506048 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4732383Z [W814 22:25:19.138847211 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4736120Z [W814 22:25:19.139196314 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4740088Z [W814 22:25:19.139529337 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4742481Z [W814 22:25:19.139867330 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4746215Z [W814 22:25:19.140226673 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4752481Z [W814 22:25:19.140858769 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4760835Z [W814 22:25:19.141665692 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4764704Z [W814 22:25:19.142060234 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4767759Z [W814 22:25:19.142389818 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4771058Z [W814 22:25:19.142712301 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4774304Z [W814 22:25:19.143037374 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4778205Z [W814 22:25:19.143404736 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4782636Z [W814 22:25:19.143726929 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4784656Z [W814 22:25:19.144061382 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4787596Z [W814 22:25:19.144372316 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4790710Z [W814 22:25:19.144677710 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4793887Z [W814 22:25:19.144975814 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4797171Z [W814 22:25:19.145313036 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4799888Z [W814 22:25:19.145607121 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4803222Z [W814 22:25:19.145917303 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4806413Z [W814 22:25:19.146238877 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4809398Z [W814 22:25:19.146547891 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4813793Z [W814 22:25:19.146838955 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4815841Z [W814 22:25:19.147171117 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4819284Z [W814 22:25:19.147525120 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4822262Z [W814 22:25:19.147840664 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4825719Z [W814 22:25:19.148167257 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4828802Z [W814 22:25:19.148488970 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.4832941Z [W814 22:25:19.148896012 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5231097Z [W814 22:25:19.188398380 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5233007Z [W814 22:25:19.188762172 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5233708Z [W814 22:25:19.188945068 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5235117Z [W814 22:25:19.189104675 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5236584Z [W814 22:25:19.189257012 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5237807Z [W814 22:25:19.189403419 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5239654Z [W814 22:25:19.189556766 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5243949Z [W814 22:25:19.189702013 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5244196Z [W814 22:25:19.189849980 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5244433Z [W814 22:25:19.189993337 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5245569Z [W814 22:25:19.190175483 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5248308Z [W814 22:25:19.190336239 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5249085Z [W814 22:25:19.190533705 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5251023Z [W814 22:25:19.190699142 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5252917Z [W814 22:25:19.190867349 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5253913Z [W814 22:25:19.191029625 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5255955Z [W814 22:25:19.191181993 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5261052Z [W814 22:25:19.191337658 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5261309Z [W814 22:25:19.191488745 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5261566Z [W814 22:25:19.191635593 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5261819Z [W814 22:25:19.191786180 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5263033Z [W814 22:25:19.191934287 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5264451Z [W814 22:25:19.192081263 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5272086Z [W814 22:25:19.192806748 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5273652Z [W814 22:25:19.192973315 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5275023Z [W814 22:25:19.193138932 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5276348Z [W814 22:25:19.193281129 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5279540Z [W814 22:25:19.193427526 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5279803Z [W814 22:25:19.193567042 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5280634Z [W814 22:25:19.193711429 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5282108Z [W814 22:25:19.193847847 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5283480Z [W814 22:25:19.193989594 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5284866Z [W814 22:25:19.194135941 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5286472Z [W814 22:25:19.194297148 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5288050Z [W814 22:25:19.194449514 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5289680Z [W814 22:25:19.194616210 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5291459Z [W814 22:25:19.194780037 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5294418Z [W814 22:25:19.194945104 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5295007Z [W814 22:25:19.195101621 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5296170Z [W814 22:25:19.195261907 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5297725Z [W814 22:25:19.195412053 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5299121Z [W814 22:25:19.195559670 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5300553Z [W814 22:25:19.195703238 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5302087Z [W814 22:25:19.195849355 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5303631Z [W814 22:25:19.195992202 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5305059Z [W814 22:25:19.196140279 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5311091Z [W814 22:25:19.196713986 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5312919Z [W814 22:25:19.196904153 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5314990Z [W814 22:25:19.197092899 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5315915Z [W814 22:25:19.197238866 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5317428Z [W814 22:25:19.197391643 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5318846Z [W814 22:25:19.197534760 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5320226Z [W814 22:25:19.197673137 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5321690Z [W814 22:25:19.197818903 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5323263Z [W814 22:25:19.197957761 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5324690Z [W814 22:25:19.198103368 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5325868Z [W814 22:25:19.198235605 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5327205Z [W814 22:25:19.198371562 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5328648Z [W814 22:25:19.198513920 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5331431Z [W814 22:25:19.198647707 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5331692Z [W814 22:25:19.198786883 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5332797Z [W814 22:25:19.198919232 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5334179Z [W814 22:25:19.199059398 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5335912Z [W814 22:25:19.199215735 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5337037Z [W814 22:25:19.199355162 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5338370Z [W814 22:25:19.199487379 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5355631Z [W814 22:25:19.201133874 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5357031Z [W814 22:25:19.201319411 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5358269Z [W814 22:25:19.201458298 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5359859Z [W814 22:25:19.201621555 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5361085Z [W814 22:25:19.201756842 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5362402Z [W814 22:25:19.201889839 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5364040Z [W814 22:25:19.202049795 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5365455Z [W814 22:25:19.202185133 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5368465Z [W814 22:25:19.202359499 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5368808Z [W814 22:25:19.202498316 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5375480Z [W814 22:25:19.203109364 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5378517Z [W814 22:25:19.203438237 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5381266Z [W814 22:25:19.203733691 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5384407Z [W814 22:25:19.204037525 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5387182Z [W814 22:25:19.204325299 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5389980Z [W814 22:25:19.204616542 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5392975Z [W814 22:25:19.204901506 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5395923Z [W814 22:25:19.205198971 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5399955Z [W814 22:25:19.205477735 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5401437Z [W814 22:25:19.205755228 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5404264Z [W814 22:25:19.206036763 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5407000Z [W814 22:25:19.206315397 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5409660Z [W814 22:25:19.206582501 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5412462Z [W814 22:25:19.206863435 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5415526Z [W814 22:25:19.207142890 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5418327Z [W814 22:25:19.207429144 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5420762Z [W814 22:25:19.207694469 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5423594Z [W814 22:25:19.207972692 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5426497Z [W814 22:25:19.208263137 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5429381Z [W814 22:25:19.208544971 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5432085Z [W814 22:25:19.208823406 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5435387Z [W814 22:25:19.209128658 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5437995Z [W814 22:25:19.209410653 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5444930Z [W814 22:25:19.210083668 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5450660Z [W814 22:25:19.210671607 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5453654Z [W814 22:25:19.210972470 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5456917Z [W814 22:25:19.211295193 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5459836Z [W814 22:25:19.211591187 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5633749Z [W814 22:25:19.228828168 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5639142Z [W814 22:25:19.229135752 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5639826Z [W814 22:25:19.229434586 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5641947Z [W814 22:25:19.229732270 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5644576Z [W814 22:25:19.230034263 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5647086Z [W814 22:25:19.230314828 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5649998Z [W814 22:25:19.230600301 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5652819Z [W814 22:25:19.230872347 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5655660Z [W814 22:25:19.231167560 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5658500Z [W814 22:25:19.231448224 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5661217Z [W814 22:25:19.231730689 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5664019Z [W814 22:25:19.232007602 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5666985Z [W814 22:25:19.232296576 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5669715Z [W814 22:25:19.232582241 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5672521Z [W814 22:25:19.232867985 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5675473Z [W814 22:25:19.233157818 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5678454Z [W814 22:25:19.233459422 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:19.5681301Z [W814 22:25:19.233741887 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:42.6609941Z W0814 22:25:42.659000 692450 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-08-14T22:25:48.3546716Z Compilation time (from dynamo_timed): 27.650537 2025-08-14T22:25:48.3554518Z pass 2025-08-14T22:25:48.3586453Z TIMING: gc:0.00541 entire_frame_compile:27.65054 backend_compile:11.46708 total_wall_time:27.65054 2025-08-14T22:25:48.3588164Z STATS: call_* op count: 857 | FakeTensorMode.__torch_dispatch__:34640 | attempt fast:518 | fast is_contiguous:419 | FakeTensor.__torch_dispatch__:1353 | slow no contiguity match:99 | ProxyTorchDispatchMode.__torch_dispatch__:13871 2025-08-14T22:25:48.3588699Z Dynamo produced 3 graphs covering 857 ops with 7 graph breaks (5 unique) 2025-08-14T22:25:55.2666303Z 2025-08-14T22:26:01.0132627Z loading model: 0it [00:00, ?it/s]MIOpen(HIP): Error [ParseContents] Duplicate ID (ignored): ConvAsmImplicitGemmGTCDynamicWrwXdlopsNHWC; key: 2x64x55x55x1x11x11x1x3x4x2x2x0x4x4x0x1x1x0x0x1xNCHWxFP16xW 2025-08-14T22:26:01.0134384Z MIOpen(HIP): Error [ParseContents] Duplicate ID (ignored): ConvHipImplicitGemmGroupWrwXdlops; key: 2x64x55x55x1x11x11x1x3x4x2x2x0x4x4x0x1x1x0x0x1xNCHWxFP16xW 2025-08-14T22:26:01.0135855Z MIOpen(HIP): Error [ParseContents] Duplicate ID (ignored): ConvAsmImplicitGemmGTCDynamicWrwXdlopsNHWC; key: 2x64x55x55x1x11x11x1x3x4x2x2x0x4x4x0x1x1x0x0x1xNCHWxFP16xW 2025-08-14T22:26:01.0137166Z MIOpen(HIP): Error [ParseContents] Duplicate ID (ignored): ConvHipImplicitGemmGroupWrwXdlops; key: 2x64x55x55x1x11x11x1x3x4x2x2x0x4x4x0x1x1x0x0x1xNCHWxFP16xW 2025-08-14T22:26:01.0796724Z 2025-08-14T22:26:01.0796933Z loading model: 0it [00:05, ?it/s] 2025-08-14T22:26:01.0799400Z cuda train alexnet 2025-08-14T22:26:01.0825492Z [W814 22:26:01.747963918 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:01.1438110Z [W814 22:26:01.809135644 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:01.1438846Z [W814 22:26:01.809442248 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:01.1448946Z [W814 22:26:01.809629214 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:01.1449632Z [W814 22:26:01.809816531 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:01.2400591Z [W814 22:26:01.905249734 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:01.2404330Z [W814 22:26:01.905719794 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:01.2405253Z [W814 22:26:01.906050117 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:01.2409258Z [W814 22:26:01.906430720 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:01.2411786Z [W814 22:26:01.906754992 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:01.2583785Z [W814 22:26:01.923893976 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:01.2587393Z [W814 22:26:01.924317198 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:01.2588951Z [W814 22:26:01.924493683 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:01.2591662Z [W814 22:26:01.924650810 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:01.2598086Z [W814 22:26:01.924824347 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:01.2603227Z [W814 22:26:01.925898534 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:01.2606174Z [W814 22:26:01.926207688 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:01.2608712Z [W814 22:26:01.926480553 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:01.2611713Z [W814 22:26:01.926769056 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:01.2614921Z [W814 22:26:01.927065890 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:01.3055427Z E0814 22:26:01.304000 693870 site-packages/torch/_dynamo/utils.py:3120] Accuracy failed: allclose not within tol=0 2025-08-14T22:26:01.3294559Z Compilation time (from dynamo_timed): 0 2025-08-14T22:26:01.3294754Z eager_two_runs_differ 2025-08-14T22:26:01.3294898Z TIMING: total_wall_time:0 2025-08-14T22:26:01.3297536Z STATS: call_* op count: 0 2025-08-14T22:26:01.3297754Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique) 2025-08-14T22:26:04.1931301Z 2025-08-14T22:26:09.0765741Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:26:09.0766219Z loading model: 0it [00:04, ?it/s] 2025-08-14T22:26:09.0766570Z cuda train basic_gnn_edgecnn 2025-08-14T22:26:10.6051392Z W0814 22:26:10.604000 694163 site-packages/torch/_logging/_internal.py:1199] [24/0] Profiler function will be ignored 2025-08-14T22:26:11.0816147Z Compilation time (from dynamo_timed): 1.592581646 2025-08-14T22:26:11.0817362Z pass 2025-08-14T22:26:11.0840676Z TIMING: gc:0.00761 entire_frame_compile:1.58715 backend_compile:0.42353 entire_backward_compile:0.00543 total_wall_time:1.59258 2025-08-14T22:26:11.0842402Z STATS: call_* op count: 128 | FakeTensorMode.__torch_dispatch__:3865 | FakeTensor.__torch_dispatch__:324 | ProxyTorchDispatchMode.__torch_dispatch__:1560 2025-08-14T22:26:11.0843242Z Dynamo produced 8 graphs covering 128 ops with 20 graph breaks (6 unique) 2025-08-14T22:26:14.2477617Z 2025-08-14T22:26:19.5914232Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:26:19.5921766Z loading model: 0it [00:05, ?it/s] 2025-08-14T22:26:19.5922070Z cuda train basic_gnn_gcn 2025-08-14T22:26:20.5544201Z W0814 22:26:20.552000 694298 site-packages/torch/_logging/_internal.py:1199] [18/0] Profiler function will be ignored 2025-08-14T22:26:20.8634890Z Compilation time (from dynamo_timed): 0.943910688 2025-08-14T22:26:20.8636142Z pass 2025-08-14T22:26:20.8640106Z TIMING: gc:0.00572 entire_frame_compile:0.94044 backend_compile:0.2853 entire_backward_compile:0.00347 total_wall_time:0.94391 2025-08-14T22:26:20.8641640Z STATS: call_* op count: 112 | FakeTensorMode.__torch_dispatch__:2262 | FakeTensor.__torch_dispatch__:157 | ProxyTorchDispatchMode.__torch_dispatch__:916 2025-08-14T22:26:20.8642478Z Dynamo produced 10 graphs covering 112 ops with 13 graph breaks (6 unique) 2025-08-14T22:26:23.9704457Z 2025-08-14T22:26:28.9558174Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:26:28.9558453Z loading model: 0it [00:04, ?it/s] 2025-08-14T22:26:28.9558618Z cuda train basic_gnn_gin 2025-08-14T22:26:29.8184019Z W0814 22:26:29.817000 694433 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-08-14T22:26:30.3197993Z Compilation time (from dynamo_timed): 1.034874821 2025-08-14T22:26:30.3198282Z pass 2025-08-14T22:26:30.3206683Z TIMING: gc:0.00249 entire_frame_compile:1.03111 backend_compile:0.37073 entire_backward_compile:0.00376 total_wall_time:1.03487 2025-08-14T22:26:30.3207215Z STATS: call_* op count: 135 | FakeTensorMode.__torch_dispatch__:3270 | FakeTensor.__torch_dispatch__:177 | ProxyTorchDispatchMode.__torch_dispatch__:1493 2025-08-14T22:26:30.3207832Z Dynamo produced 3 graphs covering 135 ops with 7 graph breaks (5 unique) 2025-08-14T22:26:33.6601181Z 2025-08-14T22:26:38.6541865Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:26:38.6542214Z loading model: 0it [00:04, ?it/s] 2025-08-14T22:26:38.6542452Z cuda train basic_gnn_sage 2025-08-14T22:26:39.4028753Z W0814 22:26:39.401000 694568 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-08-14T22:26:39.8070182Z Compilation time (from dynamo_timed): 0.833694799 2025-08-14T22:26:39.8070536Z pass 2025-08-14T22:26:39.8071128Z TIMING: gc:0.0026 entire_frame_compile:0.83053 backend_compile:0.29025 entire_backward_compile:0.00317 total_wall_time:0.83369 2025-08-14T22:26:39.8071769Z STATS: call_* op count: 126 | FakeTensorMode.__torch_dispatch__:2678 | FakeTensor.__torch_dispatch__:143 | ProxyTorchDispatchMode.__torch_dispatch__:1176 2025-08-14T22:26:39.8072317Z Dynamo produced 3 graphs covering 126 ops with 7 graph breaks (5 unique) 2025-08-14T22:26:43.3065116Z 2025-08-14T22:26:44.7429867Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:26:44.7430059Z loading model: 0it [00:01, ?it/s] 2025-08-14T22:26:44.7430188Z cuda train dcgan 2025-08-14T22:26:44.7452097Z [W814 22:26:44.410728405 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:44.8430217Z [W814 22:26:44.508348263 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:44.8434188Z [W814 22:26:44.508950320 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:44.8436966Z [W814 22:26:44.509288544 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:44.8439248Z [W814 22:26:44.509529679 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:44.8446754Z [W814 22:26:44.510228454 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:44.9587131Z [W814 22:26:44.624048426 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:44.9591391Z [W814 22:26:44.624718751 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:44.9595381Z [W814 22:26:44.625115074 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:44.9598544Z [W814 22:26:44.625455136 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:44.9765070Z [W814 22:26:44.641987603 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:44.9767681Z [W814 22:26:44.642324435 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:44.9769936Z [W814 22:26:44.642585180 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:44.9772026Z [W814 22:26:44.642786646 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:44.9774261Z [W814 22:26:44.643011211 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:44.9778807Z [W814 22:26:44.643460571 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:44.9782448Z [W814 22:26:44.643841274 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:44.9786025Z [W814 22:26:44.644191486 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:44.9789159Z [W814 22:26:44.644522649 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:44.9792158Z [W814 22:26:44.644817693 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:48.9775010Z Compilation time (from dynamo_timed): 3.869566201 2025-08-14T22:26:48.9775906Z pass 2025-08-14T22:26:48.9778891Z TIMING: gc:0.00218 entire_frame_compile:3.86957 backend_compile:0.99509 total_wall_time:3.86957 2025-08-14T22:26:48.9779774Z STATS: call_* op count: 17 | FakeTensorMode.__torch_dispatch__:1364 | attempt fast:19 | fast is_contiguous:19 | FakeTensor.__torch_dispatch__:35 | ProxyTorchDispatchMode.__torch_dispatch__:397 2025-08-14T22:26:48.9780566Z Dynamo produced 2 graphs covering 17 ops with 6 graph breaks (5 unique) 2025-08-14T22:26:52.0956580Z 2025-08-14T22:29:38.5593231Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:29:38.5593716Z loading model: 0it [02:46, ?it/s] 2025-08-14T22:29:38.5594552Z cuda train demucs 2025-08-14T22:29:38.5667057Z [W814 22:29:38.232191830 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.6397938Z [W814 22:29:38.304992744 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.6401361Z [W814 22:29:38.305473055 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.6402120Z [W814 22:29:38.305719310 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.6405129Z [W814 22:29:38.305983184 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.6413022Z [W814 22:29:38.306195399 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.6413539Z [W814 22:29:38.306363666 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.6414004Z [W814 22:29:38.306554522 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.6414392Z [W814 22:29:38.306719939 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.6414796Z [W814 22:29:38.306922845 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.6415204Z [W814 22:29:38.307112331 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.6418408Z [W814 22:29:38.307328926 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.7456066Z [W814 22:29:38.410929220 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.7790102Z [W814 22:29:38.444355175 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.7797735Z [W814 22:29:38.445161748 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.7802050Z [W814 22:29:38.445701387 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.7807883Z [W814 22:29:38.446353823 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.7817706Z [W814 22:29:38.447349542 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.7879128Z [W814 22:29:38.453396576 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.7890399Z [W814 22:29:38.454527572 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.7900076Z [W814 22:29:38.455511363 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.7909596Z [W814 22:29:38.456460213 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.7918270Z [W814 22:29:38.457391223 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.7926686Z [W814 22:29:38.458243585 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.9199960Z [W814 22:29:38.584725843 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.9200396Z [W814 22:29:38.585155505 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.9200775Z [W814 22:29:38.585532237 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.9203318Z [W814 22:29:38.585891849 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.9207007Z [W814 22:29:38.586265191 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.9210493Z [W814 22:29:38.586618983 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.9214169Z [W814 22:29:38.586984846 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.9217923Z [W814 22:29:38.587373768 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.9221638Z [W814 22:29:38.587747751 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.9225730Z [W814 22:29:38.588131792 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.9232647Z [W814 22:29:38.588630172 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.9234750Z [W814 22:29:38.589043613 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.9481072Z [W814 22:29:38.613585783 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.9484241Z [W814 22:29:38.613873027 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.9484706Z [W814 22:29:38.614066652 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.9486649Z [W814 22:29:38.614254828 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.9488272Z [W814 22:29:38.614418085 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.9490033Z [W814 22:29:38.614595772 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.9491473Z [W814 22:29:38.614754278 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.9493246Z [W814 22:29:38.614932695 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.9494769Z [W814 22:29:38.615102051 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.9496909Z [W814 22:29:38.615289778 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.9498122Z [W814 22:29:38.615450764 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:38.9500946Z [W814 22:29:38.615630920 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:39.0144769Z [W814 22:29:39.679779385 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:39.0152321Z [W814 22:29:39.680700496 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:39.0162134Z [W814 22:29:39.681728175 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:39.0172943Z [W814 22:29:39.682777553 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:39.0177368Z [W814 22:29:39.683295122 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:39.0182001Z [W814 22:29:39.683773512 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:39.0203363Z [W814 22:29:39.685848649 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:39.0210976Z [W814 22:29:39.686646993 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:39.0218992Z [W814 22:29:39.687437486 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:39.0226173Z [W814 22:29:39.688188310 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:39.0233382Z [W814 22:29:39.688919034 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:39.0240901Z [W814 22:29:39.689663230 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:39.1905747Z [W814 22:29:39.855851811 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:39.1908136Z [W814 22:29:39.856207663 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:39.1910733Z [W814 22:29:39.856568496 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:39.1913801Z [W814 22:29:39.856890820 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:39.1917480Z [W814 22:29:39.857250551 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:39.1920029Z [W814 22:29:39.857567145 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:39.1923521Z [W814 22:29:39.857918418 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:39.1930358Z [W814 22:29:39.858257861 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:39.1930735Z [W814 22:29:39.858621953 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:39.1933864Z [W814 22:29:39.858953077 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:39.1937662Z [W814 22:29:39.859330159 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:39.1940876Z [W814 22:29:39.859663221 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:29:46.2807928Z Compilation time (from dynamo_timed): 6.08248304 2025-08-14T22:29:46.2828666Z pass 2025-08-14T22:29:46.2945770Z TIMING: gc:0.00465 entire_frame_compile:6.07309 backend_compile:1.16867 entire_backward_compile:0.0094 total_wall_time:6.08248 2025-08-14T22:29:46.2946410Z STATS: call_* op count: 89 | FakeTensorMode.__torch_dispatch__:4971 | attempt fast:24 | fast is_contiguous:9 | slow no contiguity match:10 | slow both tensors nontrivially broadcast:5 | FakeTensor.__torch_dispatch__:98 | ProxyTorchDispatchMode.__torch_dispatch__:1789 2025-08-14T22:29:46.2946961Z Dynamo produced 6 graphs covering 89 ops with 9 graph breaks (6 unique) 2025-08-14T22:29:49.7747367Z 2025-08-14T22:30:03.4984464Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:30:03.4993509Z loading model: 0it [00:13, ?it/s] 2025-08-14T22:30:03.4993665Z cuda train densenet121 2025-08-14T22:30:03.5320161Z [W814 22:30:03.197453244 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.5928891Z [W814 22:30:03.258234509 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.5932241Z [W814 22:30:03.258635841 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.5934765Z [W814 22:30:03.259039732 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.5938304Z [W814 22:30:03.259409005 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.5941369Z [W814 22:30:03.259720539 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.5944852Z [W814 22:30:03.260067521 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.5948443Z [W814 22:30:03.260438454 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.5951277Z [W814 22:30:03.260718658 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.5954843Z [W814 22:30:03.261094569 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.5958465Z [W814 22:30:03.261441043 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.5963629Z [W814 22:30:03.261930913 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.5967235Z [W814 22:30:03.262286295 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.5970779Z [W814 22:30:03.262668807 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.5974501Z [W814 22:30:03.263036739 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.5976883Z [W814 22:30:03.263278694 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.5979266Z [W814 22:30:03.263526059 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.5981206Z [W814 22:30:03.263721855 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.5983241Z [W814 22:30:03.263933660 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.5988322Z [W814 22:30:03.264224184 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.5988777Z [W814 22:30:03.264455310 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.5990460Z [W814 22:30:03.264650656 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.5993623Z [W814 22:30:03.264951590 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.5995832Z [W814 22:30:03.265176305 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.5998733Z [W814 22:30:03.265480128 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6000634Z [W814 22:30:03.265673804 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6003804Z [W814 22:30:03.265982678 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6006733Z [W814 22:30:03.266266763 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6008929Z [W814 22:30:03.266489767 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6013856Z [W814 22:30:03.266765632 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6014765Z [W814 22:30:03.267062976 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6016595Z [W814 22:30:03.267264911 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6019683Z [W814 22:30:03.267565445 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6021556Z [W814 22:30:03.267765441 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6025687Z [W814 22:30:03.268159913 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6027597Z [W814 22:30:03.268366879 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6031332Z [W814 22:30:03.268733700 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6033390Z [W814 22:30:03.268936236 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6037205Z [W814 22:30:03.269322468 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6039759Z [W814 22:30:03.269572274 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6041548Z [W814 22:30:03.269779219 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6044382Z [W814 22:30:03.270045623 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6046165Z [W814 22:30:03.270239049 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6048661Z [W814 22:30:03.270468715 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6050415Z [W814 22:30:03.270657811 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6052606Z [W814 22:30:03.270882856 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6054722Z [W814 22:30:03.271080882 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6056951Z [W814 22:30:03.271314797 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6059142Z [W814 22:30:03.271506573 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6062170Z [W814 22:30:03.271823896 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6064449Z [W814 22:30:03.272035492 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6066708Z [W814 22:30:03.272269197 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6068493Z [W814 22:30:03.272470383 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6070698Z [W814 22:30:03.272695209 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6072593Z [W814 22:30:03.272884805 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6076171Z [W814 22:30:03.273208167 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6077998Z [W814 22:30:03.273412203 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6081031Z [W814 22:30:03.273698888 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6085486Z [W814 22:30:03.274142048 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6090018Z [W814 22:30:03.274600579 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6093482Z [W814 22:30:03.274918062 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6096808Z [W814 22:30:03.275264024 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6098914Z [W814 22:30:03.275486460 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6101208Z [W814 22:30:03.275728925 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6103391Z [W814 22:30:03.275936530 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6107040Z [W814 22:30:03.276295023 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6110363Z [W814 22:30:03.276508269 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6111476Z [W814 22:30:03.276752464 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6113471Z [W814 22:30:03.276955810 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6117017Z [W814 22:30:03.277293233 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6118927Z [W814 22:30:03.277503728 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6121250Z [W814 22:30:03.277745083 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6123376Z [W814 22:30:03.277944789 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6126740Z [W814 22:30:03.278277661 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6128831Z [W814 22:30:03.278489227 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6131092Z [W814 22:30:03.278730432 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6135389Z [W814 22:30:03.279013647 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6137844Z [W814 22:30:03.279364410 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6140471Z [W814 22:30:03.279653953 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6142916Z [W814 22:30:03.279906468 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6146058Z [W814 22:30:03.280198802 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6149225Z [W814 22:30:03.280524055 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6152018Z [W814 22:30:03.280796299 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6155446Z [W814 22:30:03.281128473 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6158088Z [W814 22:30:03.281406727 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6160493Z [W814 22:30:03.281653651 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6163298Z [W814 22:30:03.281920816 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6166847Z [W814 22:30:03.282269999 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6169938Z [W814 22:30:03.282594403 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6172161Z [W814 22:30:03.282824107 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6175598Z [W814 22:30:03.283146671 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6177699Z [W814 22:30:03.283361926 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6180573Z [W814 22:30:03.283656689 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6182588Z [W814 22:30:03.283859516 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6186059Z [W814 22:30:03.284191219 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6187982Z [W814 22:30:03.284403955 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6191029Z [W814 22:30:03.284701369 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6194186Z [W814 22:30:03.284903004 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6195382Z [W814 22:30:03.285129599 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6197122Z [W814 22:30:03.285321565 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6199296Z [W814 22:30:03.285533401 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6201033Z [W814 22:30:03.285718567 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6203191Z [W814 22:30:03.285928582 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6205024Z [W814 22:30:03.286125358 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6207251Z [W814 22:30:03.286337304 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6208865Z [W814 22:30:03.286522440 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6211019Z [W814 22:30:03.286730526 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6212935Z [W814 22:30:03.286915913 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6214997Z [W814 22:30:03.287135417 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6217260Z [W814 22:30:03.287331983 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6219165Z [W814 22:30:03.287544869 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6221020Z [W814 22:30:03.287731425 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6223346Z [W814 22:30:03.287952091 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6227327Z [W814 22:30:03.288337632 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6231924Z [W814 22:30:03.288798383 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6235902Z [W814 22:30:03.289174966 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6238081Z [W814 22:30:03.289412030 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6239999Z [W814 22:30:03.289612706 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6242255Z [W814 22:30:03.289834551 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6244443Z [W814 22:30:03.290043477 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.6774081Z [W814 22:30:03.342487736 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7286798Z [W814 22:30:03.394202079 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7293686Z [W814 22:30:03.394924574 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7296896Z [W814 22:30:03.395274547 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7301267Z [W814 22:30:03.395716728 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7304553Z [W814 22:30:03.396045582 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7309512Z [W814 22:30:03.396539381 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7312553Z [W814 22:30:03.396860604 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7316510Z [W814 22:30:03.397250316 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7319596Z [W814 22:30:03.397565319 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7324378Z [W814 22:30:03.398031180 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7327619Z [W814 22:30:03.398355173 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7331165Z [W814 22:30:03.398723485 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7334524Z [W814 22:30:03.399053249 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7339226Z [W814 22:30:03.399517709 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7342455Z [W814 22:30:03.399839492 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7345965Z [W814 22:30:03.400206325 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7349159Z [W814 22:30:03.400521238 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7353557Z [W814 22:30:03.400954929 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7356867Z [W814 22:30:03.401284112 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7360252Z [W814 22:30:03.401628866 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7365132Z [W814 22:30:03.401941258 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7367836Z [W814 22:30:03.402383839 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7370996Z [W814 22:30:03.402702943 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7375463Z [W814 22:30:03.403138473 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7378846Z [W814 22:30:03.403465327 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7382054Z [W814 22:30:03.403800529 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7385179Z [W814 22:30:03.404123283 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7388685Z [W814 22:30:03.404475906 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7391815Z [W814 22:30:03.404788909 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7395395Z [W814 22:30:03.405122752 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7399603Z [W814 22:30:03.405435846 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7402081Z [W814 22:30:03.405807527 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7407025Z [W814 22:30:03.406287078 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7413839Z [W814 22:30:03.406982983 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7419448Z [W814 22:30:03.407527502 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7422475Z [W814 22:30:03.407853596 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7427125Z [W814 22:30:03.408307776 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7430115Z [W814 22:30:03.408625999 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7434734Z [W814 22:30:03.409068759 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7437763Z [W814 22:30:03.409387293 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7442039Z [W814 22:30:03.409809815 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7445445Z [W814 22:30:03.410135528 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7449412Z [W814 22:30:03.410555349 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7452580Z [W814 22:30:03.410869163 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7457083Z [W814 22:30:03.411313833 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7460292Z [W814 22:30:03.411633416 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7464641Z [W814 22:30:03.412072528 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7467783Z [W814 22:30:03.412392541 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7471922Z [W814 22:30:03.412795622 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7475210Z [W814 22:30:03.413118876 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7479515Z [W814 22:30:03.413528087 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7482485Z [W814 22:30:03.413847420 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7487790Z [W814 22:30:03.414253542 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7489690Z [W814 22:30:03.414570936 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7493655Z [W814 22:30:03.414960477 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7496962Z [W814 22:30:03.415293831 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7500746Z [W814 22:30:03.415663682 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7503871Z [W814 22:30:03.415976406 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7507508Z [W814 22:30:03.416348059 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7510541Z [W814 22:30:03.416660072 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7515847Z [W814 22:30:03.417158101 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7519085Z [W814 22:30:03.417514044 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7528426Z [W814 22:30:03.418447545 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7532994Z [W814 22:30:03.418780968 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7536612Z [W814 22:30:03.419212049 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7539656Z [W814 22:30:03.419569701 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7543391Z [W814 22:30:03.419943904 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7548068Z [W814 22:30:03.420285066 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7550468Z [W814 22:30:03.420646689 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7553591Z [W814 22:30:03.420965283 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7557469Z [W814 22:30:03.421357584 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7560614Z [W814 22:30:03.421679867 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7564391Z [W814 22:30:03.422051990 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7567593Z [W814 22:30:03.422374534 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7570985Z [W814 22:30:03.422714346 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7574456Z [W814 22:30:03.423057819 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7578148Z [W814 22:30:03.423412441 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7581206Z [W814 22:30:03.423732365 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7585095Z [W814 22:30:03.424112337 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7588197Z [W814 22:30:03.424430411 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7591581Z [W814 22:30:03.424772403 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7595568Z [W814 22:30:03.425167485 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7599202Z [W814 22:30:03.425532108 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7603451Z [W814 22:30:03.425938429 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7606719Z [W814 22:30:03.426277942 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7610421Z [W814 22:30:03.426654893 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7613646Z [W814 22:30:03.426972177 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7617637Z [W814 22:30:03.427372899 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7620929Z [W814 22:30:03.427694583 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7624894Z [W814 22:30:03.428092474 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7628034Z [W814 22:30:03.428414007 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7631778Z [W814 22:30:03.428770910 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7635185Z [W814 22:30:03.429125742 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7638589Z [W814 22:30:03.429477235 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7641715Z [W814 22:30:03.429787919 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7645662Z [W814 22:30:03.430180780 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7652247Z [W814 22:30:03.430837917 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7657000Z [W814 22:30:03.431308137 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7660257Z [W814 22:30:03.431639100 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7663863Z [W814 22:30:03.431990023 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7667487Z [W814 22:30:03.432359975 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7670935Z [W814 22:30:03.432709568 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7674655Z [W814 22:30:03.433054491 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7678373Z [W814 22:30:03.433441172 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7682025Z [W814 22:30:03.433808195 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7686367Z [W814 22:30:03.434233357 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7691938Z [W814 22:30:03.434796304 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7698220Z [W814 22:30:03.435292965 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7701336Z [W814 22:30:03.435726936 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7705338Z [W814 22:30:03.436125267 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7709259Z [W814 22:30:03.436534888 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7713022Z [W814 22:30:03.436904970 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7717131Z [W814 22:30:03.437314042 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7720750Z [W814 22:30:03.437686704 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7724791Z [W814 22:30:03.438086356 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7728710Z [W814 22:30:03.438458379 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7732659Z [W814 22:30:03.438875610 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7736799Z [W814 22:30:03.439278281 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7742255Z [W814 22:30:03.439819090 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7921578Z [W814 22:30:03.457604900 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7926666Z [W814 22:30:03.458169568 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7927985Z [W814 22:30:03.458374334 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7930512Z [W814 22:30:03.458605960 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7932119Z [W814 22:30:03.458792956 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7934042Z [W814 22:30:03.459016070 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7935966Z [W814 22:30:03.459204087 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7938241Z [W814 22:30:03.459428762 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7939939Z [W814 22:30:03.459615907 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7942093Z [W814 22:30:03.459828923 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7944065Z [W814 22:30:03.460025409 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7946201Z [W814 22:30:03.460239795 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7947974Z [W814 22:30:03.460424591 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7950182Z [W814 22:30:03.460645247 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7952444Z [W814 22:30:03.460873441 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7954578Z [W814 22:30:03.461074307 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7956695Z [W814 22:30:03.461292733 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7958643Z [W814 22:30:03.461485049 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7960604Z [W814 22:30:03.461695395 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7963740Z [W814 22:30:03.461887751 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7965742Z [W814 22:30:03.462164835 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7969958Z [W814 22:30:03.462523928 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7971433Z [W814 22:30:03.462759673 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7973421Z [W814 22:30:03.462956829 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7976280Z [W814 22:30:03.463206133 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7977983Z [W814 22:30:03.463415579 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7980711Z [W814 22:30:03.463636384 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7981965Z [W814 22:30:03.463826991 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7984565Z [W814 22:30:03.464067995 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7987225Z [W814 22:30:03.464259142 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7988888Z [W814 22:30:03.464479337 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7990434Z [W814 22:30:03.464664283 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7992568Z [W814 22:30:03.464881609 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7994809Z [W814 22:30:03.465096154 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7997121Z [W814 22:30:03.465326729 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.7999318Z [W814 22:30:03.465533645 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8001924Z [W814 22:30:03.465807009 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8003768Z [W814 22:30:03.465992566 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8005873Z [W814 22:30:03.466225090 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8008063Z [W814 22:30:03.466441626 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8009977Z [W814 22:30:03.466628772 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8012976Z [W814 22:30:03.466917886 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8015019Z [W814 22:30:03.467113272 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8017584Z [W814 22:30:03.467350798 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8019308Z [W814 22:30:03.467533983 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8021351Z [W814 22:30:03.467757478 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8022999Z [W814 22:30:03.467937115 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8025600Z [W814 22:30:03.468169060 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8027226Z [W814 22:30:03.468350847 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8029306Z [W814 22:30:03.468570921 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8031138Z [W814 22:30:03.468751068 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8033490Z [W814 22:30:03.468974573 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8035617Z [W814 22:30:03.469172569 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8038687Z [W814 22:30:03.469396525 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8039280Z [W814 22:30:03.469580351 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8041909Z [W814 22:30:03.469801987 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8043692Z [W814 22:30:03.469984362 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8046056Z [W814 22:30:03.470230067 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8047738Z [W814 22:30:03.470413534 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8049967Z [W814 22:30:03.470635849 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8051788Z [W814 22:30:03.470815466 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8054313Z [W814 22:30:03.471047810 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8056049Z [W814 22:30:03.471231046 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8058301Z [W814 22:30:03.471468742 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8060027Z [W814 22:30:03.471651828 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8062585Z [W814 22:30:03.471878203 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8064525Z [W814 22:30:03.472068349 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8066468Z [W814 22:30:03.472291834 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8068270Z [W814 22:30:03.472473821 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8070626Z [W814 22:30:03.472696216 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8072398Z [W814 22:30:03.472876052 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8074962Z [W814 22:30:03.473112118 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8076742Z [W814 22:30:03.473292013 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8078843Z [W814 22:30:03.473517339 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8082412Z [W814 22:30:03.473862312 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8087984Z [W814 22:30:03.474411520 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8091593Z [W814 22:30:03.474781753 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8094861Z [W814 22:30:03.475099725 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8096775Z [W814 22:30:03.475297321 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8099438Z [W814 22:30:03.475541547 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8101156Z [W814 22:30:03.475735083 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8103612Z [W814 22:30:03.475986138 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8105675Z [W814 22:30:03.476186474 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8107933Z [W814 22:30:03.476426669 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8111026Z [W814 22:30:03.476613694 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8112138Z [W814 22:30:03.476847330 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8114232Z [W814 22:30:03.477044446 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8116754Z [W814 22:30:03.477301290 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8118899Z [W814 22:30:03.477521915 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8120731Z [W814 22:30:03.477713031 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8122953Z [W814 22:30:03.477929987 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8125001Z [W814 22:30:03.478120933 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8127095Z [W814 22:30:03.478340969 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8128884Z [W814 22:30:03.478528394 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8131145Z [W814 22:30:03.478744680 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8132933Z [W814 22:30:03.478934836 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8135515Z [W814 22:30:03.479175641 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8137461Z [W814 22:30:03.479370447 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8139561Z [W814 22:30:03.479586092 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8141255Z [W814 22:30:03.479772208 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8143565Z [W814 22:30:03.479987114 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8145565Z [W814 22:30:03.480183210 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8147541Z [W814 22:30:03.480402306 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8149416Z [W814 22:30:03.480588151 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8151633Z [W814 22:30:03.480801498 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8153467Z [W814 22:30:03.480987923 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8155902Z [W814 22:30:03.481216919 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8157885Z [W814 22:30:03.481398415 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8159790Z [W814 22:30:03.481611961 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8161546Z [W814 22:30:03.481797077 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8163845Z [W814 22:30:03.482015532 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8166736Z [W814 22:30:03.482197538 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8167742Z [W814 22:30:03.482412194 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8169506Z [W814 22:30:03.482594000 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8171736Z [W814 22:30:03.482801716 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8173507Z [W814 22:30:03.482980892 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8175799Z [W814 22:30:03.483199597 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8177546Z [W814 22:30:03.483387573 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8180214Z [W814 22:30:03.483602219 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8181640Z [W814 22:30:03.483784925 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8192634Z [W814 22:30:03.484854003 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8197597Z [W814 22:30:03.485248634 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8200733Z [W814 22:30:03.485681296 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8204209Z [W814 22:30:03.486029018 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8208288Z [W814 22:30:03.486431870 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8211738Z [W814 22:30:03.486788203 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8216653Z [W814 22:30:03.487253432 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8220669Z [W814 22:30:03.487675934 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8224730Z [W814 22:30:03.488079796 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8228096Z [W814 22:30:03.488421299 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8231998Z [W814 22:30:03.488805341 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8235564Z [W814 22:30:03.489154664 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8239285Z [W814 22:30:03.489531056 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8242583Z [W814 22:30:03.489870488 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8246427Z [W814 22:30:03.490249881 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8249843Z [W814 22:30:03.490593423 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8253563Z [W814 22:30:03.490957766 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8257179Z [W814 22:30:03.491313889 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8260782Z [W814 22:30:03.491677720 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8264864Z [W814 22:30:03.492057583 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8269156Z [W814 22:30:03.492457945 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8272649Z [W814 22:30:03.492852447 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8277466Z [W814 22:30:03.493246718 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8279783Z [W814 22:30:03.493589091 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8283329Z [W814 22:30:03.493941304 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8286802Z [W814 22:30:03.494289416 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8290232Z [W814 22:30:03.494632270 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8294223Z [W814 22:30:03.495038121 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8298621Z [W814 22:30:03.495463352 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8302931Z [W814 22:30:03.495909203 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8306763Z [W814 22:30:03.496292865 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8310360Z [W814 22:30:03.496655837 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8314373Z [W814 22:30:03.497044669 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8319736Z [W814 22:30:03.497446031 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8322568Z [W814 22:30:03.497851632 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8327818Z [W814 22:30:03.498377172 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8331494Z [W814 22:30:03.498758883 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8337285Z [W814 22:30:03.499323252 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8342446Z [W814 22:30:03.499842111 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8350843Z [W814 22:30:03.500676153 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8356062Z [W814 22:30:03.501183183 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8362005Z [W814 22:30:03.501782960 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8372920Z [W814 22:30:03.502305020 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8373191Z [W814 22:30:03.502887437 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8377752Z [W814 22:30:03.503357228 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8386699Z [W814 22:30:03.503765100 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8388112Z [W814 22:30:03.504121862 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8389230Z [W814 22:30:03.504515494 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8392184Z [W814 22:30:03.504830938 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8396376Z [W814 22:30:03.505236609 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8399437Z [W814 22:30:03.505548802 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8403398Z [W814 22:30:03.505930984 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8406891Z [W814 22:30:03.506267727 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8410423Z [W814 22:30:03.506644740 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8413991Z [W814 22:30:03.506959502 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8422508Z [W814 22:30:03.507366904 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8422907Z [W814 22:30:03.507684008 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8424670Z [W814 22:30:03.508073330 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8427784Z [W814 22:30:03.508389153 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8431477Z [W814 22:30:03.508747196 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8434868Z [W814 22:30:03.509088179 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8438346Z [W814 22:30:03.509445231 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8441434Z [W814 22:30:03.509755855 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8445417Z [W814 22:30:03.510137497 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8448334Z [W814 22:30:03.510449130 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8451844Z [W814 22:30:03.510795783 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8455345Z [W814 22:30:03.511133616 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8458711Z [W814 22:30:03.511480059 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8464559Z [W814 22:30:03.512051877 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8471115Z [W814 22:30:03.512719183 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8474604Z [W814 22:30:03.513070376 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8478097Z [W814 22:30:03.513410839 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8481199Z [W814 22:30:03.513728582 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8484858Z [W814 22:30:03.514088284 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8487993Z [W814 22:30:03.514404358 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8491202Z [W814 22:30:03.514729201 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8497363Z [W814 22:30:03.515074484 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8498184Z [W814 22:30:03.515403767 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8501106Z [W814 22:30:03.515719880 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8504571Z [W814 22:30:03.516049703 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8507791Z [W814 22:30:03.516363287 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8510809Z [W814 22:30:03.516686821 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8514365Z [W814 22:30:03.517028344 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8517627Z [W814 22:30:03.517361736 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8521334Z [W814 22:30:03.517739089 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8524715Z [W814 22:30:03.518068591 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8528172Z [W814 22:30:03.518424514 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8531384Z [W814 22:30:03.518737248 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8535028Z [W814 22:30:03.519103990 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8538251Z [W814 22:30:03.519425913 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8541655Z [W814 22:30:03.519771286 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8544949Z [W814 22:30:03.520095120 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8548376Z [W814 22:30:03.520437762 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8551456Z [W814 22:30:03.520747976 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8555031Z [W814 22:30:03.521093119 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8558020Z [W814 22:30:03.521403742 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8561282Z [W814 22:30:03.521735485 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8565959Z [W814 22:30:03.522056009 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8567860Z [W814 22:30:03.522384341 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8570849Z [W814 22:30:03.522694555 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8574223Z [W814 22:30:03.523023088 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8577510Z [W814 22:30:03.523349892 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8581025Z [W814 22:30:03.523687825 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8587247Z [W814 22:30:03.524320232 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8591865Z [W814 22:30:03.524788611 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8595214Z [W814 22:30:03.525117695 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8598541Z [W814 22:30:03.525451018 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8601596Z [W814 22:30:03.525766511 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8605031Z [W814 22:30:03.526108734 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8608596Z [W814 22:30:03.526452847 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8611646Z [W814 22:30:03.526768210 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8615087Z [W814 22:30:03.527111103 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8619733Z [W814 22:30:03.527435067 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8621635Z [W814 22:30:03.527760880 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8624917Z [W814 22:30:03.528086483 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8628079Z [W814 22:30:03.528408846 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8631190Z [W814 22:30:03.528725040 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8634573Z [W814 22:30:03.529046934 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8637724Z [W814 22:30:03.529360946 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:03.8641426Z [W814 22:30:03.529745649 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:30:50.6685490Z Compilation time (from dynamo_timed): 46.185890077 2025-08-14T22:30:50.6736715Z pass 2025-08-14T22:30:50.6766174Z TIMING: gc:0.00214 entire_frame_compile:46.18589 backend_compile:32.84066 total_wall_time:46.18589 2025-08-14T22:30:50.6767124Z STATS: call_* op count: 435 | FakeTensorMode.__torch_dispatch__:43869 | FakeTensor.__torch_dispatch__:28 | attempt fast:739 | fast is_contiguous:208 | ProxyTorchDispatchMode.__torch_dispatch__:17230 | slow no contiguity match:531 2025-08-14T22:30:50.6767844Z Dynamo produced 2 graphs covering 435 ops with 6 graph breaks (5 unique) 2025-08-14T22:31:04.9079820Z 2025-08-14T22:31:05.0314640Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_alloc' 2025-08-14T22:31:05.0315488Z what(): std::bad_alloc 2025-08-14T22:31:05.1597646Z Run failed with return code: -6 2025-08-14T22:31:05.1603400Z Output: None 2025-08-14T22:31:05.1603668Z Error: None 2025-08-14T22:31:06.8883930Z 2025-08-14T22:31:15.1407186Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:31:15.1407451Z loading model: 0it [00:08, ?it/s] 2025-08-14T22:31:15.1407637Z cuda train dlrm 2025-08-14T22:31:16.8480309Z Compilation time (from dynamo_timed): 1.360660154 2025-08-14T22:31:16.8480768Z pass 2025-08-14T22:31:16.8529007Z TIMING: gc:0.00192 entire_frame_compile:1.35589 backend_compile:0.91795 entire_backward_compile:0.00477 total_wall_time:1.36066 2025-08-14T22:31:16.8529672Z STATS: call_* op count: 40 | FakeTensorMode.__torch_dispatch__:2411 | FakeTensor.__torch_dispatch__:34 | ProxyTorchDispatchMode.__torch_dispatch__:997 2025-08-14T22:31:16.8529985Z Dynamo produced 2 graphs covering 40 ops with 6 graph breaks (5 unique) 2025-08-14T22:31:19.7582940Z 2025-08-14T22:31:19.7882916Z loading model: 0it [00:00, ?it/s]Gym has been unmaintained since 2022 and does not support NumPy 2.0 amongst other critical functionality. 2025-08-14T22:31:19.7884006Z Please upgrade to Gymnasium, the maintained drop-in replacement of Gym, or contact the authors of your software and request that they upgrade. 2025-08-14T22:31:19.7891346Z Users of this version of Gym should be able to simply replace 'import gym' with 'import gymnasium as gym' in the vast majority of cases. 2025-08-14T22:31:19.7892357Z See the migration guide at https://gymnasium.farama.org/introduction/migration_guide/ for additional information. 2025-08-14T22:31:29.9894215Z 2025-08-14T22:31:29.9894953Z loading model: 0it [00:10, ?it/s] 2025-08-14T22:31:29.9895214Z cuda train drq 2025-08-14T22:31:29.9920142Z [W814 22:31:29.657410313 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:30.0513141Z [W814 22:31:30.716527002 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:30.0513567Z [W814 22:31:30.716851706 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:30.0520126Z [W814 22:31:30.716952284 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:30.1037593Z [W814 22:31:30.768932461 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:30.1477159Z [W814 22:31:30.812987375 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:30.1477905Z [W814 22:31:30.813284459 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:30.1479534Z [W814 22:31:30.813443935 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:30.1841728Z [W814 22:31:30.849525754 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:30.1843232Z [W814 22:31:30.849859828 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:30.1843568Z [W814 22:31:30.849948305 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:30.1844400Z [W814 22:31:30.850034723 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:30.1860829Z [W814 22:31:30.851638340 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:30.1865794Z [W814 22:31:30.851810217 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:30.1866882Z [W814 22:31:30.851942994 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:30.1867212Z [W814 22:31:30.852083841 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:31.5590852Z W0814 22:31:31.558000 698275 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-08-14T22:31:32.8555845Z Compilation time (from dynamo_timed): 2.511814075 2025-08-14T22:31:32.8556294Z pass 2025-08-14T22:31:32.8561775Z TIMING: gc:0.00318 entire_frame_compile:2.5033 backend_compile:1.54834 entire_backward_compile:0.00852 total_wall_time:2.51181 2025-08-14T22:31:32.8562886Z STATS: call_* op count: 174 | FakeTensor.__torch_dispatch__:343 | FakeTensorMode.__torch_dispatch__:5931 | ProxyTorchDispatchMode.__torch_dispatch__:2708 2025-08-14T22:31:32.8569692Z Dynamo produced 5 graphs covering 174 ops with 7 graph breaks (5 unique) 2025-08-14T22:31:36.1472422Z 2025-08-14T22:31:42.4888953Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:31:42.4889217Z loading model: 0it [00:06, ?it/s] 2025-08-14T22:31:42.4892666Z cuda train fastNLP_Bert 2025-08-14T22:31:45.3901455Z W0814 22:31:45.389000 699034 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break from `Tensor.item()`, consider setting: 2025-08-14T22:31:45.3902601Z W0814 22:31:45.389000 699034 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] torch._dynamo.config.capture_scalar_outputs = True 2025-08-14T22:31:45.3911635Z W0814 22:31:45.389000 699034 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] or: 2025-08-14T22:31:45.3912044Z W0814 22:31:45.389000 699034 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-08-14T22:31:45.3912510Z W0814 22:31:45.389000 699034 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] to include these operations in the captured graph. 2025-08-14T22:31:45.3913332Z W0814 22:31:45.389000 699034 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-08-14T22:31:45.3913699Z W0814 22:31:45.389000 699034 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break: from user code at: 2025-08-14T22:31:45.3914325Z W0814 22:31:45.389000 699034 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/var/lib/jenkins/pytorch/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486 2025-08-14T22:31:45.3914931Z W0814 22:31:45.389000 699034 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] pred = mod(*cloned_inputs) 2025-08-14T22:31:45.3915487Z W0814 22:31:45.389000 699034 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/models/bert.py", line 265, in forward 2025-08-14T22:31:45.3916036Z W0814 22:31:45.389000 699034 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] sequence_output = self.bert(words) 2025-08-14T22:31:45.3916607Z W0814 22:31:45.389000 699034 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/bert_embedding.py", line 137, in forward 2025-08-14T22:31:45.3919031Z W0814 22:31:45.389000 699034 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] outputs = self.model(words) 2025-08-14T22:31:45.3919598Z W0814 22:31:45.389000 699034 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/bert_embedding.py", line 445, in forward 2025-08-14T22:31:45.3920772Z W0814 22:31:45.389000 699034 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] max_word_piece_length = batch_word_pieces_length.sum(dim=-1).max().item() # 表示word piece的长度(包括padding) 2025-08-14T22:31:45.3921357Z W0814 22:31:45.389000 699034 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-08-14T22:31:45.3921653Z W0814 22:31:45.389000 699034 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-08-14T22:31:51.3315129Z Compilation time (from dynamo_timed): 8.119539959 2025-08-14T22:31:51.3337562Z pass 2025-08-14T22:31:51.3519226Z TIMING: gc:0.00463 entire_frame_compile:8.07678 backend_compile:3.25418 entire_backward_compile:0.04276 total_wall_time:8.11954 2025-08-14T22:31:51.3519729Z STATS: call_* op count: 448 | FakeTensorMode.__torch_dispatch__:24377 | ProxyTorchDispatchMode.__torch_dispatch__:13709 | FakeTensor.__torch_dispatch__:131 2025-08-14T22:31:51.3520131Z Dynamo produced 7 graphs covering 448 ops with 10 graph breaks (6 unique) 2025-08-14T22:31:54.7243451Z 2025-08-14T22:31:59.6913127Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:31:59.6913406Z loading model: 0it [00:04, ?it/s] 2025-08-14T22:31:59.6913606Z cuda train functorch_dp_cifar10 2025-08-14T22:31:59.6956215Z [W814 22:31:59.361031446 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.7560444Z [W814 22:31:59.421511437 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.7563066Z [W814 22:31:59.421874370 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.7566126Z [W814 22:31:59.422195253 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.7568419Z [W814 22:31:59.422446099 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.7570814Z [W814 22:31:59.422688803 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.7573257Z [W814 22:31:59.422930578 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.7575982Z [W814 22:31:59.423194793 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.7578840Z [W814 22:31:59.423480037 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.7580966Z [W814 22:31:59.423707891 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.7583368Z [W814 22:31:59.423944937 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.7590240Z [W814 22:31:59.424230451 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.7590512Z [W814 22:31:59.424469156 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.7590857Z [W814 22:31:59.424720160 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.7593381Z [W814 22:31:59.424956076 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.7596175Z [W814 22:31:59.425217980 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.7598500Z [W814 22:31:59.425468475 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.7600852Z [W814 22:31:59.425706360 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.7603422Z [W814 22:31:59.425950715 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.7605941Z [W814 22:31:59.426198320 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8093517Z [W814 22:31:59.474733030 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8438214Z [W814 22:31:59.509228572 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8441370Z [W814 22:31:59.509731591 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8445672Z [W814 22:31:59.510152813 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8449919Z [W814 22:31:59.510569084 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8454812Z [W814 22:31:59.511069344 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8459045Z [W814 22:31:59.511491705 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8463712Z [W814 22:31:59.511928376 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8467646Z [W814 22:31:59.512339497 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8471089Z [W814 22:31:59.512695300 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8475281Z [W814 22:31:59.513110141 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8478956Z [W814 22:31:59.513495203 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8482808Z [W814 22:31:59.513854025 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8486583Z [W814 22:31:59.514249867 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8489987Z [W814 22:31:59.514604520 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8494164Z [W814 22:31:59.515012611 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8498033Z [W814 22:31:59.515395954 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8502565Z [W814 22:31:59.515757345 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8505412Z [W814 22:31:59.516126028 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8509118Z [W814 22:31:59.516519070 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8899123Z [W814 22:31:59.555365552 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8905455Z [W814 22:31:59.556026248 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8907296Z [W814 22:31:59.556308432 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8909925Z [W814 22:31:59.556579587 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8912105Z [W814 22:31:59.556813511 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8914783Z [W814 22:31:59.557070766 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8917157Z [W814 22:31:59.557312971 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8919726Z [W814 22:31:59.557546516 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8921895Z [W814 22:31:59.557798622 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8924209Z [W814 22:31:59.558042066 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8926819Z [W814 22:31:59.558286861 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8929137Z [W814 22:31:59.558538686 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8931473Z [W814 22:31:59.558771681 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8934007Z [W814 22:31:59.559010536 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8936386Z [W814 22:31:59.559249311 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8939070Z [W814 22:31:59.559507586 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8941267Z [W814 22:31:59.559741181 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8944889Z [W814 22:31:59.559966206 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8946036Z [W814 22:31:59.560202321 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8948161Z [W814 22:31:59.560430756 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8960823Z [W814 22:31:59.561680610 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8964730Z [W814 22:31:59.562070062 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8968269Z [W814 22:31:59.562434094 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8972037Z [W814 22:31:59.562806347 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8976583Z [W814 22:31:59.563242288 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8980508Z [W814 22:31:59.563642979 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8984207Z [W814 22:31:59.564026062 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8987968Z [W814 22:31:59.564402033 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8991498Z [W814 22:31:59.564753856 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8995293Z [W814 22:31:59.565123409 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.8998910Z [W814 22:31:59.565491531 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.9002406Z [W814 22:31:59.565849053 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.9006228Z [W814 22:31:59.566228876 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.9009843Z [W814 22:31:59.566580819 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.9013516Z [W814 22:31:59.566941801 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.9017274Z [W814 22:31:59.567324733 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.9020846Z [W814 22:31:59.567685396 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.9024643Z [W814 22:31:59.568060587 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.9028249Z [W814 22:31:59.568419550 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:31:59.9032876Z [W814 22:31:59.568893490 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:32:08.7004484Z W0814 22:32:08.699000 700116 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-08-14T22:32:11.7821061Z Compilation time (from dynamo_timed): 11.636736343 2025-08-14T22:32:11.7821562Z pass 2025-08-14T22:32:11.7874107Z TIMING: gc:0.00293 entire_frame_compile:11.63674 backend_compile:5.6302 total_wall_time:11.63674 2025-08-14T22:32:11.7879369Z STATS: call_* op count: 402 | FakeTensorMode.__torch_dispatch__:13853 | FakeTensor.__torch_dispatch__:924 | attempt fast:118 | fast is_contiguous:114 | ProxyTorchDispatchMode.__torch_dispatch__:5903 | slow both tensors nontrivially broadcast:4 2025-08-14T22:32:11.7882610Z Dynamo produced 3 graphs covering 402 ops with 7 graph breaks (5 unique) 2025-08-14T22:32:16.1036773Z 2025-08-14T22:32:21.0239540Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:32:21.0239981Z loading model: 0it [00:04, ?it/s] 2025-08-14T22:32:21.0240343Z cuda train functorch_maml_omniglot 2025-08-14T22:32:21.0263306Z [W814 22:32:21.691803608 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:32:21.1008488Z [W814 22:32:21.766183820 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:32:21.1014137Z [W814 22:32:21.766726079 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:32:21.1519758Z [W814 22:32:21.817279527 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:32:21.1873905Z [W814 22:32:21.852803617 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:32:21.1877396Z [W814 22:32:21.853329707 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:32:21.2222603Z [W814 22:32:21.887646133 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:32:21.2227690Z [W814 22:32:21.888242560 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:32:21.2229192Z [W814 22:32:21.888508875 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:32:21.2238470Z [W814 22:32:21.889410406 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:32:21.2242783Z [W814 22:32:21.889869256 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:32:21.2248418Z [W814 22:32:21.890431644 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:32:22.3263028Z W0814 22:32:22.325000 701030 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-08-14T22:32:23.1113066Z Compilation time (from dynamo_timed): 1.742326361 2025-08-14T22:32:23.1113333Z pass 2025-08-14T22:32:23.1115056Z TIMING: gc:0.00297 entire_frame_compile:1.73919 backend_compile:1.14976 entire_backward_compile:0.00313 total_wall_time:1.74233 2025-08-14T22:32:23.1115655Z STATS: call_* op count: 107 | FakeTensor.__torch_dispatch__:218 | FakeTensorMode.__torch_dispatch__:2861 | ProxyTorchDispatchMode.__torch_dispatch__:1218 2025-08-14T22:32:23.1116407Z Dynamo produced 3 graphs covering 107 ops with 7 graph breaks (5 unique) 2025-08-14T22:32:26.1707282Z 2025-08-14T22:32:31.2649037Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:32:31.2649229Z loading model: 0it [00:05, ?it/s] 2025-08-14T22:32:31.2655463Z cuda train hf_Albert 2025-08-14T22:32:48.8521040Z W0814 22:32:48.850000 701324 site-packages/torch/_logging/_internal.py:1199] [5/0] Profiler function will be ignored 2025-08-14T22:32:49.8415426Z Compilation time (from dynamo_timed): 17.85831659 2025-08-14T22:32:49.8424933Z pass 2025-08-14T22:32:49.8476110Z TIMING: gc:0.00258 entire_frame_compile:17.85832 backend_compile:10.22887 total_wall_time:17.85832 2025-08-14T22:32:49.8476559Z STATS: call_* op count: 533 | FakeTensorMode.__torch_dispatch__:26171 | attempt fast:190 | fast is_contiguous:186 | slow no contiguity match:4 | FakeTensor.__torch_dispatch__:471 | ProxyTorchDispatchMode.__torch_dispatch__:13515 2025-08-14T22:32:49.8477037Z Dynamo produced 3 graphs covering 533 ops with 6 graph breaks (5 unique) 2025-08-14T22:32:55.4405064Z 2025-08-14T22:33:02.7710040Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:33:02.7711368Z loading model: 0it [00:07, ?it/s] 2025-08-14T22:33:02.7711889Z cuda train hf_Bart 2025-08-14T22:33:26.9001916Z W0814 22:33:26.899000 702576 site-packages/torch/_logging/_internal.py:1199] [5/0] Profiler function will be ignored 2025-08-14T22:33:37.2824608Z Compilation time (from dynamo_timed): 33.509450035 2025-08-14T22:33:37.2844994Z pass 2025-08-14T22:33:37.3057337Z TIMING: gc:0.00522 entire_frame_compile:33.50945 backend_compile:17.50435 total_wall_time:33.50945 2025-08-14T22:33:37.3057934Z STATS: call_* op count: 1831 | FakeTensorMode.__torch_dispatch__:59913 | FakeTensor.__torch_dispatch__:3311 | attempt fast:172 | fast is_contiguous:169 | slow no contiguity match:3 | ProxyTorchDispatchMode.__torch_dispatch__:28124 2025-08-14T22:33:37.3058818Z Dynamo produced 3 graphs covering 1831 ops with 6 graph breaks (5 unique) 2025-08-14T22:33:44.6583473Z 2025-08-14T22:33:51.0829834Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:33:51.0830038Z loading model: 0it [00:06, ?it/s] 2025-08-14T22:33:51.0830519Z cuda train hf_Bert 2025-08-14T22:34:07.8086354Z W0814 22:34:07.807000 703660 site-packages/torch/_logging/_internal.py:1199] [5/0] Profiler function will be ignored 2025-08-14T22:34:15.5791958Z Compilation time (from dynamo_timed): 23.562337896 2025-08-14T22:34:15.5809993Z pass 2025-08-14T22:34:15.5930237Z TIMING: gc:0.005 entire_frame_compile:23.56234 backend_compile:12.76693 total_wall_time:23.56234 2025-08-14T22:34:15.5930710Z STATS: call_* op count: 1322 | FakeTensorMode.__torch_dispatch__:44554 | attempt fast:110 | fast is_contiguous:106 | slow no contiguity match:4 | FakeTensor.__torch_dispatch__:2531 | ProxyTorchDispatchMode.__torch_dispatch__:21117 2025-08-14T22:34:15.5931165Z Dynamo produced 3 graphs covering 1322 ops with 6 graph breaks (5 unique) 2025-08-14T22:34:21.0133770Z 2025-08-14T22:34:28.6716035Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:34:28.6716263Z loading model: 0it [00:07, ?it/s] 2025-08-14T22:34:28.6717042Z cuda train hf_Bert_large 2025-08-14T22:34:56.9674092Z W0814 22:34:56.966000 704576 site-packages/torch/_logging/_internal.py:1199] [5/0] Profiler function will be ignored 2025-08-14T22:35:13.0397759Z Compilation time (from dynamo_timed): 42.959384969 2025-08-14T22:35:13.0427529Z pass 2025-08-14T22:35:13.0843078Z TIMING: gc:0.00348 entire_frame_compile:42.95938 backend_compile:23.44931 total_wall_time:42.95938 2025-08-14T22:35:13.0844719Z STATS: call_* op count: 2546 | FakeTensorMode.__torch_dispatch__:85726 | attempt fast:110 | fast is_contiguous:106 | slow no contiguity match:4 | FakeTensor.__torch_dispatch__:4835 | ProxyTorchDispatchMode.__torch_dispatch__:41193 2025-08-14T22:35:13.0845852Z Dynamo produced 3 graphs covering 2546 ops with 6 graph breaks (5 unique) 2025-08-14T22:35:20.3552854Z 2025-08-14T22:35:21.2319876Z loading model: 0it [00:00, ?it/s]BigBirdForMaskedLM has generative capabilities, as `prepare_inputs_for_generation` is explicitly defined. However, it doesn't directly inherit from `GenerationMixin`. From 👉v4.50👈 onwards, `PreTrainedModel` will NOT inherit from `GenerationMixin`, and this model will lose the ability to call `generate` and other related functions. 2025-08-14T22:35:21.2320760Z - If you're using `trust_remote_code=True`, you can get rid of this warning by loading the model with an auto class. See https://huggingface.co/docs/transformers/en/model_doc/auto#auto-classes 2025-08-14T22:35:21.2321318Z - If you are the owner of the model architecture code, please modify your model class such that it inherits from `GenerationMixin` (after `PreTrainedModel`, otherwise you'll get an exception). 2025-08-14T22:35:21.2321759Z - If you are not the owner of the model architecture class, please contact the model code owner to update it. 2025-08-14T22:35:21.2322568Z WARNING:transformers.modeling_utils:BigBirdForMaskedLM has generative capabilities, as `prepare_inputs_for_generation` is explicitly defined. However, it doesn't directly inherit from `GenerationMixin`. From 👉v4.50👈 onwards, `PreTrainedModel` will NOT inherit from `GenerationMixin`, and this model will lose the ability to call `generate` and other related functions. 2025-08-14T22:35:21.2323494Z - If you're using `trust_remote_code=True`, you can get rid of this warning by loading the model with an auto class. See https://huggingface.co/docs/transformers/en/model_doc/auto#auto-classes 2025-08-14T22:35:21.2324009Z - If you are the owner of the model architecture code, please modify your model class such that it inherits from `GenerationMixin` (after `PreTrainedModel`, otherwise you'll get an exception). 2025-08-14T22:35:21.2324710Z - If you are not the owner of the model architecture class, please contact the model code owner to update it. 2025-08-14T22:35:27.2691573Z 2025-08-14T22:35:27.2693101Z loading model: 0it [00:06, ?it/s] 2025-08-14T22:35:27.2699989Z cuda train hf_BigBird 2025-08-14T22:35:48.4475820Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] Error while creating guard: 2025-08-14T22:35:48.4476162Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] Name: '' 2025-08-14T22:35:48.4476399Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] Source: shape_env 2025-08-14T22:35:48.4476655Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] Create Function: SHAPE_ENV 2025-08-14T22:35:48.4476910Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] Guard Types: None 2025-08-14T22:35:48.4477200Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] Code List: None 2025-08-14T22:35:48.4477594Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] Object Weakref: None 2025-08-14T22:35:48.4478079Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] Guarded Class Weakref: None 2025-08-14T22:35:48.4478375Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] Traceback (most recent call last): 2025-08-14T22:35:48.4483777Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_guards.py", line 364, in create 2025-08-14T22:35:48.4484145Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] return self.create_fn(builder, self) 2025-08-14T22:35:48.4484516Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/guards.py", line 2516, in SHAPE_ENV 2025-08-14T22:35:48.4485035Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] _get_code_parts(("python", "verbose_python", "cpp")) # type: ignore[assignment] 2025-08-14T22:35:48.4485453Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/guards.py", line 2501, in _get_code_parts 2025-08-14T22:35:48.4485842Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] return output_graph.shape_env.produce_guards_verbose( 2025-08-14T22:35:48.4486277Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/symbolic_shapes.py", line 5932, in produce_guards_verbose 2025-08-14T22:35:48.4486696Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] raise ConstraintViolationError( 2025-08-14T22:35:48.4487215Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] torch.fx.experimental.symbolic_shapes.ConstraintViolationError: Constraints violated (L['cloned_inputs']['input_ids'].size()[0], L['cloned_inputs']['labels'].size()[0])! For more information, run with TORCH_LOGS="+dynamic". 2025-08-14T22:35:48.4487986Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] - You marked L['cloned_inputs']['input_ids'].size()[0] as dynamic but your code specialized it to be a constant (4). If you're using mark_dynamic, either remove it or use maybe_mark_dynamic. If you're using Dim.DYNAMIC, replace it with either Dim.STATIC or Dim.AUTO. 2025-08-14T22:35:48.4488458Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] 2025-08-14T22:35:48.4488663Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] User stack: 2025-08-14T22:35:48.4489043Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] File "/var/lib/jenkins/pytorch/benchmarks/dynamo/torchbench.py", line 489, in torch_dynamo_resume_in_forward_and_backward_pass_at_486 2025-08-14T22:35:48.4489505Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] pred = mod(**cloned_inputs) 2025-08-14T22:35:48.4489921Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 2303, in forward 2025-08-14T22:35:48.4490308Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] outputs = self.bert( 2025-08-14T22:35:48.4490726Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1991, in forward 2025-08-14T22:35:48.4491156Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] encoder_outputs = self.encoder( 2025-08-14T22:35:48.4491591Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1585, in forward 2025-08-14T22:35:48.4492061Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] layer_outputs = layer_module( 2025-08-14T22:35:48.4492486Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:35:48.4492968Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] return super().__call__(*args, **kwargs) 2025-08-14T22:35:48.4493401Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-08-14T22:35:48.4493829Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] return self._call_impl(*args, **kwargs) 2025-08-14T22:35:48.4494278Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-08-14T22:35:48.4494690Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] return forward_call(*args, **kwargs) 2025-08-14T22:35:48.4496614Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1468, in forward 2025-08-14T22:35:48.4497214Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] self_attention_outputs = self.attention( 2025-08-14T22:35:48.4497770Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1381, in forward 2025-08-14T22:35:48.4498179Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] self_outputs = self.self( 2025-08-14T22:35:48.4498564Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 455, in forward 2025-08-14T22:35:48.4498999Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] context_layer, attention_probs = self.bigbird_block_sparse_attention( 2025-08-14T22:35:48.4499465Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 577, in bigbird_block_sparse_attention 2025-08-14T22:35:48.4499928Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] rand_attn = torch.cat([rand_attn for _ in range(batch_size)], dim=0) 2025-08-14T22:35:48.4500191Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] 2025-08-14T22:35:48.4500725Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] - You marked L['cloned_inputs']['labels'].size()[0] as dynamic but your code specialized it to be a constant (4). If you're using mark_dynamic, either remove it or use maybe_mark_dynamic. If you're using Dim.DYNAMIC, replace it with either Dim.STATIC or Dim.AUTO. 2025-08-14T22:35:48.4503457Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] 2025-08-14T22:35:48.4503776Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] User stack: 2025-08-14T22:35:48.4504207Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] File "/var/lib/jenkins/pytorch/benchmarks/dynamo/torchbench.py", line 489, in torch_dynamo_resume_in_forward_and_backward_pass_at_486 2025-08-14T22:35:48.4504606Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] pred = mod(**cloned_inputs) 2025-08-14T22:35:48.4505004Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 2323, in forward 2025-08-14T22:35:48.4505472Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] masked_lm_loss = loss_fct(prediction_scores.view(-1, self.config.vocab_size), labels.view(-1)) 2025-08-14T22:35:48.4505786Z E0814 22:35:48.446000 705492 site-packages/torch/_guards.py:366] [2/0_1] 2025-08-14T22:35:48.4505978Z E0814 22:35:48.447000 705492 site-packages/torch/_guards.py:368] [2/0_1] Created at: 2025-08-14T22:35:48.4506312Z E0814 22:35:48.447000 705492 site-packages/torch/_guards.py:368] [2/0_1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 800, in transform 2025-08-14T22:35:48.4506678Z E0814 22:35:48.447000 705492 site-packages/torch/_guards.py:368] [2/0_1] tracer = InstructionTranslator( 2025-08-14T22:35:48.4507068Z E0814 22:35:48.447000 705492 site-packages/torch/_guards.py:368] [2/0_1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 3367, in __init__ 2025-08-14T22:35:48.4507425Z E0814 22:35:48.447000 705492 site-packages/torch/_guards.py:368] [2/0_1] output=OutputGraph( 2025-08-14T22:35:48.4507778Z E0814 22:35:48.447000 705492 site-packages/torch/_guards.py:368] [2/0_1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/output_graph.py", line 478, in __init__ 2025-08-14T22:35:48.4508132Z E0814 22:35:48.447000 705492 site-packages/torch/_guards.py:368] [2/0_1] self.init_ambient_guards() 2025-08-14T22:35:48.4509696Z E0814 22:35:48.447000 705492 site-packages/torch/_guards.py:368] [2/0_1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/output_graph.py", line 633, in init_ambient_guards 2025-08-14T22:35:48.4510136Z E0814 22:35:48.447000 705492 site-packages/torch/_guards.py:368] [2/0_1] self.guards.add(ShapeEnvSource().make_guard(GuardBuilder.SHAPE_ENV)) 2025-08-14T22:35:48.4510368Z ERROR:common: 2025-08-14T22:35:48.4510466Z Traceback (most recent call last): 2025-08-14T22:35:48.4510659Z File "/var/lib/jenkins/pytorch/benchmarks/dynamo/common.py", line 2291, in check_accuracy 2025-08-14T22:35:48.4510857Z new_result = self.run_n_iterations( 2025-08-14T22:35:48.4511052Z File "/var/lib/jenkins/pytorch/benchmarks/dynamo/common.py", line 2001, in run_n_iterations 2025-08-14T22:35:48.4511261Z model_iter_fn(mod, inputs, collect_outputs=False) 2025-08-14T22:35:48.4511497Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 804, in compile_wrapper 2025-08-14T22:35:48.4511718Z return fn(*args, **kwargs) 2025-08-14T22:35:48.4511924Z File "/var/lib/jenkins/pytorch/benchmarks/dynamo/torchbench.py", line 485, in forward_and_backward_pass 2025-08-14T22:35:48.4513138Z cloned_inputs = clone_inputs(inputs) 2025-08-14T22:35:48.4513395Z File "/var/lib/jenkins/pytorch/benchmarks/dynamo/torchbench.py", line 486, in torch_dynamo_resume_in_forward_and_backward_pass_at_485 2025-08-14T22:35:48.4513689Z self.optimizer_zero_grad(mod) 2025-08-14T22:35:48.4513902Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 1604, in __call__ 2025-08-14T22:35:48.4514125Z result = self._torchdynamo_orig_backend( 2025-08-14T22:35:48.4514359Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 1362, in __call__ 2025-08-14T22:35:48.4514570Z result = self._inner_convert( 2025-08-14T22:35:48.4514776Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 687, in __call__ 2025-08-14T22:35:48.4514981Z result = _compile( 2025-08-14T22:35:48.4515173Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 1177, in _compile 2025-08-14T22:35:48.4515416Z guarded_code = compile_inner(code, one_graph, hooks, transform) 2025-08-14T22:35:48.4516537Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_utils_internal.py", line 92, in wrapper_function 2025-08-14T22:35:48.4516750Z return function(*args, **kwargs) 2025-08-14T22:35:48.4516967Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 863, in compile_inner 2025-08-14T22:35:48.4517237Z return _compile_inner(code, one_graph, hooks, transform) 2025-08-14T22:35:48.4517482Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 1015, in _compile_inner 2025-08-14T22:35:48.4517704Z check_fn = CheckFunctionManager( 2025-08-14T22:35:48.4517903Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/guards.py", line 3317, in __init__ 2025-08-14T22:35:48.4518115Z builder, guard_manager = self.build_guards( 2025-08-14T22:35:48.4518327Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/guards.py", line 3598, in build_guards 2025-08-14T22:35:48.4518534Z guard.create(builder) 2025-08-14T22:35:48.4518738Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_guards.py", line 364, in create 2025-08-14T22:35:48.4519761Z return self.create_fn(builder, self) 2025-08-14T22:35:48.4519967Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/guards.py", line 2516, in SHAPE_ENV 2025-08-14T22:35:48.4520218Z _get_code_parts(("python", "verbose_python", "cpp")) # type: ignore[assignment] 2025-08-14T22:35:48.4520474Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/guards.py", line 2501, in _get_code_parts 2025-08-14T22:35:48.4520707Z return output_graph.shape_env.produce_guards_verbose( 2025-08-14T22:35:48.4520983Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/symbolic_shapes.py", line 5932, in produce_guards_verbose 2025-08-14T22:35:48.4521243Z raise ConstraintViolationError( 2025-08-14T22:35:48.4521599Z torch.fx.experimental.symbolic_shapes.ConstraintViolationError: Constraints violated (L['cloned_inputs']['input_ids'].size()[0], L['cloned_inputs']['labels'].size()[0])! For more information, run with TORCH_LOGS="+dynamic". 2025-08-14T22:35:48.4522198Z - You marked L['cloned_inputs']['input_ids'].size()[0] as dynamic but your code specialized it to be a constant (4). If you're using mark_dynamic, either remove it or use maybe_mark_dynamic. If you're using Dim.DYNAMIC, replace it with either Dim.STATIC or Dim.AUTO. 2025-08-14T22:35:48.4522526Z 2025-08-14T22:35:48.4522563Z User stack: 2025-08-14T22:35:48.4522877Z File "/var/lib/jenkins/pytorch/benchmarks/dynamo/torchbench.py", line 489, in torch_dynamo_resume_in_forward_and_backward_pass_at_486 2025-08-14T22:35:48.4523987Z pred = mod(**cloned_inputs) 2025-08-14T22:35:48.4524225Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 2303, in forward 2025-08-14T22:35:48.4524465Z outputs = self.bert( 2025-08-14T22:35:48.4524734Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1991, in forward 2025-08-14T22:35:48.4524975Z encoder_outputs = self.encoder( 2025-08-14T22:35:48.4525209Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1585, in forward 2025-08-14T22:35:48.4525466Z layer_outputs = layer_module( 2025-08-14T22:35:48.4525677Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-08-14T22:35:48.4525898Z return super().__call__(*args, **kwargs) 2025-08-14T22:35:48.4526125Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-08-14T22:35:48.4526355Z return self._call_impl(*args, **kwargs) 2025-08-14T22:35:48.4527402Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-08-14T22:35:48.4527617Z return forward_call(*args, **kwargs) 2025-08-14T22:35:48.4527859Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1468, in forward 2025-08-14T22:35:48.4528134Z self_attention_outputs = self.attention( 2025-08-14T22:35:48.4528380Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1381, in forward 2025-08-14T22:35:48.4528620Z self_outputs = self.self( 2025-08-14T22:35:48.4528851Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 455, in forward 2025-08-14T22:35:48.4529131Z context_layer, attention_probs = self.bigbird_block_sparse_attention( 2025-08-14T22:35:48.4529447Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 577, in bigbird_block_sparse_attention 2025-08-14T22:35:48.4529754Z rand_attn = torch.cat([rand_attn for _ in range(batch_size)], dim=0) 2025-08-14T22:35:48.4529866Z 2025-08-14T22:35:48.4531011Z - You marked L['cloned_inputs']['labels'].size()[0] as dynamic but your code specialized it to be a constant (4). If you're using mark_dynamic, either remove it or use maybe_mark_dynamic. If you're using Dim.DYNAMIC, replace it with either Dim.STATIC or Dim.AUTO. 2025-08-14T22:35:48.4531338Z 2025-08-14T22:35:48.4531373Z User stack: 2025-08-14T22:35:48.4531594Z File "/var/lib/jenkins/pytorch/benchmarks/dynamo/torchbench.py", line 489, in torch_dynamo_resume_in_forward_and_backward_pass_at_486 2025-08-14T22:35:48.4531841Z pred = mod(**cloned_inputs) 2025-08-14T22:35:48.4532073Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 2323, in forward 2025-08-14T22:35:48.4532425Z masked_lm_loss = loss_fct(prediction_scores.view(-1, self.config.vocab_size), labels.view(-1)) 2025-08-14T22:35:48.4532573Z 2025-08-14T22:35:48.4532575Z 2025-08-14T22:35:48.4532656Z TorchDynamo optimized model failed to run because of following error 2025-08-14T22:35:48.4532921Z Compilation time (from dynamo_timed): 20.10235278 2025-08-14T22:35:48.4546214Z fail_to_run 2025-08-14T22:35:48.4837729Z TIMING: gc:0.00113 entire_frame_compile:20.10235 backend_compile:11.05354 total_wall_time:20.10235 2025-08-14T22:35:48.4838334Z STATS: call_* op count: 3358 | FakeTensorMode.__torch_dispatch__:101765 | FakeTensor.__torch_dispatch__:227 | attempt fast:26 | slow both tensors nontrivially broadcast:2 | fast is_contiguous:24 | ProxyTorchDispatchMode.__torch_dispatch__:47583 2025-08-14T22:35:48.4840238Z Dynamo produced 1 graphs covering 3358 ops with 3 graph breaks (3 unique) 2025-08-14T22:35:53.3066515Z 2025-08-14T22:35:59.3641915Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:35:59.3649157Z loading model: 0it [00:06, ?it/s] 2025-08-14T22:35:59.3649313Z cuda train hf_DistilBert 2025-08-14T22:36:10.0758267Z W0814 22:36:10.074000 706406 site-packages/torch/_logging/_internal.py:1199] [5/0] Profiler function will be ignored 2025-08-14T22:36:14.3615384Z Compilation time (from dynamo_timed): 14.264525218 2025-08-14T22:36:14.3625680Z pass 2025-08-14T22:36:14.3690147Z TIMING: gc:0.00428 entire_frame_compile:14.26453 backend_compile:7.18883 total_wall_time:14.26453 2025-08-14T22:36:14.3697256Z STATS: call_* op count: 702 | FakeTensorMode.__torch_dispatch__:23711 | attempt fast:115 | fast is_contiguous:111 | slow no contiguity match:4 | FakeTensor.__torch_dispatch__:1363 | ProxyTorchDispatchMode.__torch_dispatch__:10967 2025-08-14T22:36:14.3697976Z Dynamo produced 3 graphs covering 702 ops with 6 graph breaks (5 unique) 2025-08-14T22:36:19.0623857Z 2025-08-14T22:36:25.3581007Z loading model: 0it [00:00, ?it/s]`loss_type=None` was set in the config but it is unrecognised.Using the default loss: `ForCausalLMLoss`. 2025-08-14T22:36:25.3581606Z WARNING:transformers.modeling_utils:`loss_type=None` was set in the config but it is unrecognised.Using the default loss: `ForCausalLMLoss`. 2025-08-14T22:36:26.9648020Z 2025-08-14T22:36:26.9648521Z loading model: 0it [00:07, ?it/s] 2025-08-14T22:36:26.9648831Z cuda train hf_GPT2 2025-08-14T22:36:48.1603800Z W0814 22:36:48.159000 707322 site-packages/torch/_logging/_internal.py:1199] [11/0] Profiler function will be ignored 2025-08-14T22:36:53.1013329Z Compilation time (from dynamo_timed): 25.300735238 2025-08-14T22:36:53.1031279Z pass 2025-08-14T22:36:53.1477357Z TIMING: gc:0.00595 entire_frame_compile:25.30074 backend_compile:10.7091 total_wall_time:25.30074 2025-08-14T22:36:53.1478526Z STATS: call_* op count: 1381 | FakeTensorMode.__torch_dispatch__:39294 | FakeTensor.__torch_dispatch__:1955 | attempt fast:148 | fast is_contiguous:148 | ProxyTorchDispatchMode.__torch_dispatch__:17248 2025-08-14T22:36:53.1479533Z Dynamo produced 6 graphs covering 1381 ops with 8 graph breaks (6 unique) 2025-08-14T22:36:58.7642372Z 2025-08-14T22:37:10.3324766Z loading model: 0it [00:00, ?it/s]`loss_type=None` was set in the config but it is unrecognised.Using the default loss: `ForCausalLMLoss`. 2025-08-14T22:37:10.3325839Z WARNING:transformers.modeling_utils:`loss_type=None` was set in the config but it is unrecognised.Using the default loss: `ForCausalLMLoss`. 2025-08-14T22:37:11.8535284Z 2025-08-14T22:37:11.8535770Z loading model: 0it [00:13, ?it/s] 2025-08-14T22:37:11.8536066Z cuda train hf_GPT2_large 2025-08-14T22:37:11.8545248Z Compilation time (from dynamo_timed): 0 2025-08-14T22:37:11.8545730Z pass_due_to_skip 2025-08-14T22:37:11.9436901Z TIMING: total_wall_time:0 2025-08-14T22:37:11.9437233Z STATS: call_* op count: 0 2025-08-14T22:37:11.9445231Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique) 2025-08-14T22:37:14.9715467Z 2025-08-14T22:37:22.4601074Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:37:22.4601365Z loading model: 0it [00:07, ?it/s] 2025-08-14T22:37:22.4605593Z cuda train hf_Longformer 2025-08-14T22:37:26.5441890Z W0814 22:37:26.543000 709206 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break from `Tensor.item()`, consider setting: 2025-08-14T22:37:26.5443293Z W0814 22:37:26.543000 709206 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] torch._dynamo.config.capture_scalar_outputs = True 2025-08-14T22:37:26.5444148Z W0814 22:37:26.543000 709206 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] or: 2025-08-14T22:37:26.5444970Z W0814 22:37:26.543000 709206 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-08-14T22:37:26.5445713Z W0814 22:37:26.543000 709206 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] to include these operations in the captured graph. 2025-08-14T22:37:26.5446284Z W0814 22:37:26.543000 709206 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-08-14T22:37:26.5447158Z W0814 22:37:26.543000 709206 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break: from user code at: 2025-08-14T22:37:26.5448078Z W0814 22:37:26.543000 709206 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/var/lib/jenkins/pytorch/benchmarks/dynamo/torchbench.py", line 489, in torch_dynamo_resume_in_forward_and_backward_pass_at_486 2025-08-14T22:37:26.5449091Z W0814 22:37:26.543000 709206 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] pred = mod(**cloned_inputs) 2025-08-14T22:37:26.5450013Z W0814 22:37:26.543000 709206 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 1703, in forward 2025-08-14T22:37:26.5457226Z W0814 22:37:26.543000 709206 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] outputs = self.longformer( 2025-08-14T22:37:26.5457891Z W0814 22:37:26.543000 709206 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 1600, in forward 2025-08-14T22:37:26.5458542Z W0814 22:37:26.543000 709206 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] encoder_outputs = self.encoder( 2025-08-14T22:37:26.5459273Z W0814 22:37:26.543000 709206 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 1244, in forward 2025-08-14T22:37:26.5459953Z W0814 22:37:26.543000 709206 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] is_global_attn = is_index_global_attn.flatten().any().item() 2025-08-14T22:37:26.5460378Z W0814 22:37:26.543000 709206 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-08-14T22:37:26.5460695Z W0814 22:37:26.543000 709206 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-08-14T22:39:02.0367401Z W0814 22:39:02.035000 709206 site-packages/torch/_logging/_internal.py:1199] [19/0] Profiler function will be ignored 2025-08-14T22:39:09.1999225Z Compilation time (from dynamo_timed): 105.090125803 2025-08-14T22:39:09.2041529Z pass 2025-08-14T22:39:09.2165638Z TIMING: gc:0.00953 entire_frame_compile:105.09013 backend_compile:72.48361 total_wall_time:105.09013 2025-08-14T22:39:09.2167735Z STATS: call_* op count: 2840 | FakeTensorMode.__torch_dispatch__:92690 | attempt fast:367 | fast is_contiguous:360 | FakeTensor.__torch_dispatch__:3674 | ProxyTorchDispatchMode.__torch_dispatch__:47229 | slow both tensors nontrivially broadcast:4 | slow no contiguity match:3 2025-08-14T22:39:09.2175718Z Dynamo produced 8 graphs covering 2840 ops with 10 graph breaks (6 unique) 2025-08-14T22:39:39.0034686Z 2025-08-14T22:39:40.4380263Z loading model: 0it [00:00, ?it/s]Passing a tuple of `past_key_values` is deprecated and will be removed in Transformers v4.58.0. You should pass an instance of `ReformerDynamicCache` instead, e.g. `past_key_values=ReformerDynamicCache.from_legacy_cache(past_key_values)`. 2025-08-14T22:39:40.4387501Z WARNING:transformers.models.reformer.modeling_reformer:Passing a tuple of `past_key_values` is deprecated and will be removed in Transformers v4.58.0. You should pass an instance of `ReformerDynamicCache` instead, e.g. `past_key_values=ReformerDynamicCache.from_legacy_cache(past_key_values)`. 2025-08-14T22:39:44.8921421Z 2025-08-14T22:39:44.8922580Z loading model: 0it [00:05, ?it/s] 2025-08-14T22:39:44.8923097Z cuda train hf_Reformer 2025-08-14T22:39:55.1466831Z E0814 22:39:55.140000 710626 site-packages/torch/_guards.py:366] [31/0] Error while creating guard: 2025-08-14T22:39:55.1483482Z E0814 22:39:55.140000 710626 site-packages/torch/_guards.py:366] [31/0] Name: '' 2025-08-14T22:39:55.1489508Z E0814 22:39:55.140000 710626 site-packages/torch/_guards.py:366] [31/0] Source: shape_env 2025-08-14T22:39:55.1490364Z E0814 22:39:55.140000 710626 site-packages/torch/_guards.py:366] [31/0] Create Function: SHAPE_ENV 2025-08-14T22:39:55.1490640Z E0814 22:39:55.140000 710626 site-packages/torch/_guards.py:366] [31/0] Guard Types: None 2025-08-14T22:39:55.1490890Z E0814 22:39:55.140000 710626 site-packages/torch/_guards.py:366] [31/0] Code List: None 2025-08-14T22:39:55.1491260Z E0814 22:39:55.140000 710626 site-packages/torch/_guards.py:366] [31/0] Object Weakref: None 2025-08-14T22:39:55.1491524Z E0814 22:39:55.140000 710626 site-packages/torch/_guards.py:366] [31/0] Guarded Class Weakref: None 2025-08-14T22:39:55.1491800Z E0814 22:39:55.140000 710626 site-packages/torch/_guards.py:366] [31/0] Traceback (most recent call last): 2025-08-14T22:39:55.1492175Z E0814 22:39:55.140000 710626 site-packages/torch/_guards.py:366] [31/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_guards.py", line 364, in create 2025-08-14T22:39:55.1492530Z E0814 22:39:55.140000 710626 site-packages/torch/_guards.py:366] [31/0] return self.create_fn(builder, self) 2025-08-14T22:39:55.1495383Z E0814 22:39:55.140000 710626 site-packages/torch/_guards.py:366] [31/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/guards.py", line 2516, in SHAPE_ENV 2025-08-14T22:39:55.1496027Z E0814 22:39:55.140000 710626 site-packages/torch/_guards.py:366] [31/0] _get_code_parts(("python", "verbose_python", "cpp")) # type: ignore[assignment] 2025-08-14T22:39:55.1496704Z E0814 22:39:55.140000 710626 site-packages/torch/_guards.py:366] [31/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/guards.py", line 2501, in _get_code_parts 2025-08-14T22:39:55.1497103Z E0814 22:39:55.140000 710626 site-packages/torch/_guards.py:366] [31/0] return output_graph.shape_env.produce_guards_verbose( 2025-08-14T22:39:55.1497542Z E0814 22:39:55.140000 710626 site-packages/torch/_guards.py:366] [31/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/symbolic_shapes.py", line 5932, in produce_guards_verbose 2025-08-14T22:39:55.1498044Z E0814 22:39:55.140000 710626 site-packages/torch/_guards.py:366] [31/0] raise ConstraintViolationError( 2025-08-14T22:39:55.1498503Z E0814 22:39:55.140000 710626 site-packages/torch/_guards.py:366] [31/0] torch.fx.experimental.symbolic_shapes.ConstraintViolationError: Constraints violated (L['labels'].size()[0])! For more information, run with TORCH_LOGS="+dynamic". 2025-08-14T22:39:55.1499215Z E0814 22:39:55.140000 710626 site-packages/torch/_guards.py:366] [31/0] - You marked L['labels'].size()[0] as dynamic but your code specialized it to be a constant (4). If you're using mark_dynamic, either remove it or use maybe_mark_dynamic. If you're using Dim.DYNAMIC, replace it with either Dim.STATIC or Dim.AUTO. 2025-08-14T22:39:55.1499670Z E0814 22:39:55.140000 710626 site-packages/torch/_guards.py:366] [31/0] 2025-08-14T22:39:55.1499870Z E0814 22:39:55.140000 710626 site-packages/torch/_guards.py:366] [31/0] User stack: 2025-08-14T22:39:55.1500296Z E0814 22:39:55.140000 710626 site-packages/torch/_guards.py:366] [31/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/reformer/modeling_reformer.py", line 2500, in torch_dynamo_resume_in_forward_at_2481 2025-08-14T22:39:55.1500812Z E0814 22:39:55.140000 710626 site-packages/torch/_guards.py:366] [31/0] masked_lm_loss = loss_fct(logits.view(-1, self.config.vocab_size), labels.view(-1)) 2025-08-14T22:39:55.1501109Z E0814 22:39:55.140000 710626 site-packages/torch/_guards.py:366] [31/0] 2025-08-14T22:39:55.1501316Z E0814 22:39:55.141000 710626 site-packages/torch/_guards.py:368] [31/0] Created at: 2025-08-14T22:39:55.1501674Z E0814 22:39:55.141000 710626 site-packages/torch/_guards.py:368] [31/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 800, in transform 2025-08-14T22:39:55.1502059Z E0814 22:39:55.141000 710626 site-packages/torch/_guards.py:368] [31/0] tracer = InstructionTranslator( 2025-08-14T22:39:55.1502480Z E0814 22:39:55.141000 710626 site-packages/torch/_guards.py:368] [31/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 3367, in __init__ 2025-08-14T22:39:55.1503019Z E0814 22:39:55.141000 710626 site-packages/torch/_guards.py:368] [31/0] output=OutputGraph( 2025-08-14T22:39:55.1503761Z E0814 22:39:55.141000 710626 site-packages/torch/_guards.py:368] [31/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/output_graph.py", line 478, in __init__ 2025-08-14T22:39:55.1504170Z E0814 22:39:55.141000 710626 site-packages/torch/_guards.py:368] [31/0] self.init_ambient_guards() 2025-08-14T22:39:55.1504591Z E0814 22:39:55.141000 710626 site-packages/torch/_guards.py:368] [31/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/output_graph.py", line 633, in init_ambient_guards 2025-08-14T22:39:55.1505089Z E0814 22:39:55.141000 710626 site-packages/torch/_guards.py:368] [31/0] self.guards.add(ShapeEnvSource().make_guard(GuardBuilder.SHAPE_ENV)) 2025-08-14T22:39:55.1505364Z ERROR:common: 2025-08-14T22:39:55.1505519Z Traceback (most recent call last): 2025-08-14T22:39:55.1505774Z File "/var/lib/jenkins/pytorch/benchmarks/dynamo/common.py", line 2291, in check_accuracy 2025-08-14T22:39:55.1506041Z new_result = self.run_n_iterations( 2025-08-14T22:39:55.1506291Z File "/var/lib/jenkins/pytorch/benchmarks/dynamo/common.py", line 2001, in run_n_iterations 2025-08-14T22:39:55.1506573Z model_iter_fn(mod, inputs, collect_outputs=False) 2025-08-14T22:39:55.1506874Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 804, in compile_wrapper 2025-08-14T22:39:55.1507149Z return fn(*args, **kwargs) 2025-08-14T22:39:55.1507405Z File "/var/lib/jenkins/pytorch/benchmarks/dynamo/torchbench.py", line 485, in forward_and_backward_pass 2025-08-14T22:39:55.1509917Z cloned_inputs = clone_inputs(inputs) 2025-08-14T22:39:55.1510190Z File "/var/lib/jenkins/pytorch/benchmarks/dynamo/torchbench.py", line 486, in torch_dynamo_resume_in_forward_and_backward_pass_at_485 2025-08-14T22:39:55.1510505Z self.optimizer_zero_grad(mod) 2025-08-14T22:39:55.1510909Z File "/var/lib/jenkins/pytorch/benchmarks/dynamo/torchbench.py", line 489, in torch_dynamo_resume_in_forward_and_backward_pass_at_486 2025-08-14T22:39:55.1511161Z pred = mod(**cloned_inputs) 2025-08-14T22:39:55.1511391Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-08-14T22:39:55.1511626Z return self._call_impl(*args, **kwargs) 2025-08-14T22:39:55.1511845Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-08-14T22:39:55.1512059Z return forward_call(*args, **kwargs) 2025-08-14T22:39:55.1512308Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/reformer/modeling_reformer.py", line 2481, in forward 2025-08-14T22:39:55.1512560Z reformer_outputs = self.reformer( 2025-08-14T22:39:55.1514020Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 1604, in __call__ 2025-08-14T22:39:55.1514252Z result = self._torchdynamo_orig_backend( 2025-08-14T22:39:55.1514472Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 1362, in __call__ 2025-08-14T22:39:55.1514689Z result = self._inner_convert( 2025-08-14T22:39:55.1514900Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 687, in __call__ 2025-08-14T22:39:55.1515107Z result = _compile( 2025-08-14T22:39:55.1515301Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 1177, in _compile 2025-08-14T22:39:55.1515547Z guarded_code = compile_inner(code, one_graph, hooks, transform) 2025-08-14T22:39:55.1515793Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_utils_internal.py", line 92, in wrapper_function 2025-08-14T22:39:55.1516046Z return function(*args, **kwargs) 2025-08-14T22:39:55.1516271Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 863, in compile_inner 2025-08-14T22:39:55.1517541Z return _compile_inner(code, one_graph, hooks, transform) 2025-08-14T22:39:55.1517824Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 1015, in _compile_inner 2025-08-14T22:39:55.1518055Z check_fn = CheckFunctionManager( 2025-08-14T22:39:55.1518261Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/guards.py", line 3317, in __init__ 2025-08-14T22:39:55.1518475Z builder, guard_manager = self.build_guards( 2025-08-14T22:39:55.1518695Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/guards.py", line 3598, in build_guards 2025-08-14T22:39:55.1518903Z guard.create(builder) 2025-08-14T22:39:55.1519085Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_guards.py", line 364, in create 2025-08-14T22:39:55.1519280Z return self.create_fn(builder, self) 2025-08-14T22:39:55.1519490Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/guards.py", line 2516, in SHAPE_ENV 2025-08-14T22:39:55.1519766Z _get_code_parts(("python", "verbose_python", "cpp")) # type: ignore[assignment] 2025-08-14T22:39:55.1520994Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/guards.py", line 2501, in _get_code_parts 2025-08-14T22:39:55.1521376Z return output_graph.shape_env.produce_guards_verbose( 2025-08-14T22:39:55.1521655Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/symbolic_shapes.py", line 5932, in produce_guards_verbose 2025-08-14T22:39:55.1521918Z raise ConstraintViolationError( 2025-08-14T22:39:55.1522208Z torch.fx.experimental.symbolic_shapes.ConstraintViolationError: Constraints violated (L['labels'].size()[0])! For more information, run with TORCH_LOGS="+dynamic". 2025-08-14T22:39:55.1523103Z - You marked L['labels'].size()[0] as dynamic but your code specialized it to be a constant (4). If you're using mark_dynamic, either remove it or use maybe_mark_dynamic. If you're using Dim.DYNAMIC, replace it with either Dim.STATIC or Dim.AUTO. 2025-08-14T22:39:55.1523460Z 2025-08-14T22:39:55.1523500Z User stack: 2025-08-14T22:39:55.1523772Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/reformer/modeling_reformer.py", line 2500, in torch_dynamo_resume_in_forward_at_2481 2025-08-14T22:39:55.1524121Z masked_lm_loss = loss_fct(logits.view(-1, self.config.vocab_size), labels.view(-1)) 2025-08-14T22:39:55.1524255Z 2025-08-14T22:39:55.1524257Z 2025-08-14T22:39:55.1524340Z TorchDynamo optimized model failed to run because of following error 2025-08-14T22:39:55.1525871Z Compilation time (from dynamo_timed): 9.463976094 2025-08-14T22:39:55.1526013Z fail_to_run 2025-08-14T22:39:55.1566205Z TIMING: gc:0.0107 entire_frame_compile:9.46398 backend_compile:1.87484 total_wall_time:9.46398 2025-08-14T22:39:55.1567046Z STATS: call_* op count: 808 | FakeTensorMode.__torch_dispatch__:18845 | ProxyTorchDispatchMode.__torch_dispatch__:6841 | attempt fast:50 | fast is_contiguous:44 | slow no contiguity match:6 | FakeTensor.__torch_dispatch__:178 2025-08-14T22:39:55.1567818Z Dynamo produced 15 graphs covering 813 ops with 21 graph breaks (7 unique) 2025-08-14T22:39:59.0191949Z 2025-08-14T22:40:07.4654646Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:40:07.4655094Z loading model: 0it [00:08, ?it/s] 2025-08-14T22:40:07.4655796Z cuda train hf_Roberta_base 2025-08-14T22:40:24.5758278Z W0814 22:40:24.574000 712381 site-packages/torch/_logging/_internal.py:1199] [5/0] Profiler function will be ignored 2025-08-14T22:40:32.2901005Z Compilation time (from dynamo_timed): 23.836017588 2025-08-14T22:40:32.2917339Z pass 2025-08-14T22:40:32.3016169Z TIMING: gc:0.00481 entire_frame_compile:23.83602 backend_compile:12.78292 total_wall_time:23.83602 2025-08-14T22:40:32.3016772Z STATS: call_* op count: 1330 | FakeTensorMode.__torch_dispatch__:44710 | attempt fast:120 | fast is_contiguous:116 | slow no contiguity match:4 | FakeTensor.__torch_dispatch__:2531 | ProxyTorchDispatchMode.__torch_dispatch__:21144 2025-08-14T22:40:32.3017496Z Dynamo produced 3 graphs covering 1330 ops with 6 graph breaks (5 unique) 2025-08-14T22:40:37.8218672Z 2025-08-14T22:40:44.4196010Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:40:44.4196500Z loading model: 0it [00:06, ?it/s] 2025-08-14T22:40:44.4196854Z cuda train hf_T5 2025-08-14T22:41:18.9961156Z Compilation time (from dynamo_timed): 33.676301167 2025-08-14T22:41:18.9979940Z pass 2025-08-14T22:41:19.0053601Z TIMING: gc:0.00187 entire_frame_compile:33.6763 backend_compile:21.83581 total_wall_time:33.6763 2025-08-14T22:41:19.0054293Z STATS: call_* op count: 834 | FakeTensorMode.__torch_dispatch__:38000 | FakeTensor.__torch_dispatch__:852 | attempt fast:110 | fast is_contiguous:100 | slow both tensors nontrivially broadcast:6 | slow no contiguity match:4 | ProxyTorchDispatchMode.__torch_dispatch__:18469 2025-08-14T22:41:19.0060482Z Dynamo produced 2 graphs covering 834 ops with 5 graph breaks (5 unique) 2025-08-14T22:41:28.4537873Z 2025-08-14T22:41:36.2940990Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:41:36.2941403Z loading model: 0it [00:07, ?it/s] 2025-08-14T22:41:36.2949156Z cuda train hf_T5_base 2025-08-14T22:42:38.9819074Z Compilation time (from dynamo_timed): 60.938305929 2025-08-14T22:42:38.9855263Z pass 2025-08-14T22:42:39.0142147Z TIMING: gc:0.00128 entire_frame_compile:60.93831 backend_compile:41.76153 total_wall_time:60.93831 2025-08-14T22:42:39.0153181Z STATS: call_* op count: 1554 | FakeTensorMode.__torch_dispatch__:72296 | FakeTensor.__torch_dispatch__:1524 | attempt fast:110 | fast is_contiguous:100 | slow both tensors nontrivially broadcast:6 | slow no contiguity match:4 | ProxyTorchDispatchMode.__torch_dispatch__:36025 2025-08-14T22:42:39.0154390Z Dynamo produced 2 graphs covering 1554 ops with 5 graph breaks (5 unique) 2025-08-14T22:42:53.1003765Z 2025-08-14T22:43:05.0144749Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:43:05.0145275Z loading model: 0it [00:11, ?it/s] 2025-08-14T22:43:05.0154239Z cuda train hf_T5_large 2025-08-14T22:43:05.0154593Z Compilation time (from dynamo_timed): 0 2025-08-14T22:43:05.0154896Z pass_due_to_skip 2025-08-14T22:43:05.0917856Z TIMING: total_wall_time:0 2025-08-14T22:43:05.0918965Z STATS: call_* op count: 0 2025-08-14T22:43:05.0919272Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique) 2025-08-14T22:43:07.9479141Z 2025-08-14T22:43:13.7730477Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:43:13.7730719Z loading model: 0it [00:05, ?it/s] 2025-08-14T22:43:13.7730858Z cuda train hf_Whisper 2025-08-14T22:43:13.7769703Z [W814 22:43:13.442492041 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:43:13.8374031Z [W814 22:43:13.502654246 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:43:13.9938205Z [W814 22:43:13.658933298 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:43:13.9939520Z [W814 22:43:13.659421288 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:43:14.0332408Z [W814 22:43:14.698450694 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:43:14.0337016Z [W814 22:43:14.699012892 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:43:14.0414063Z [W814 22:43:14.706796020 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:43:14.0420571Z [W814 22:43:14.707156532 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:43:22.1474208Z W0814 22:43:22.146000 715421 site-packages/torch/_logging/_internal.py:1199] [5/0] Profiler function will be ignored 2025-08-14T22:43:25.1182352Z Compilation time (from dynamo_timed): 10.810530829 2025-08-14T22:43:25.1184965Z pass 2025-08-14T22:43:25.1197604Z TIMING: gc:0.00395 entire_frame_compile:10.81053 backend_compile:4.81946 total_wall_time:10.81053 2025-08-14T22:43:25.1204648Z STATS: call_* op count: 514 | FakeTensorMode.__torch_dispatch__:16621 | attempt fast:104 | fast is_contiguous:92 | slow no contiguity match:12 | FakeTensor.__torch_dispatch__:984 | ProxyTorchDispatchMode.__torch_dispatch__:7503 2025-08-14T22:43:25.1205178Z Dynamo produced 3 graphs covering 514 ops with 6 graph breaks (5 unique) 2025-08-14T22:43:29.2096564Z 2025-08-14T22:43:29.4217450Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:43:29.4217960Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:43:29.4218321Z cuda train hf_distil_whisper 2025-08-14T22:43:29.4218701Z Traceback (most recent call last): 2025-08-14T22:43:29.4219266Z File "/var/lib/jenkins/pytorch/benchmarks/dynamo/common.py", line 4124, in run 2025-08-14T22:43:29.4228027Z ) = runner.load_model( 2025-08-14T22:43:29.4228363Z File "/var/lib/jenkins/pytorch/benchmarks/dynamo/torchbench.py", line 325, in load_model 2025-08-14T22:43:29.4229036Z benchmark = benchmark_cls( 2025-08-14T22:43:29.4229319Z File "/torchbench/torchbenchmark/util/model.py", line 43, in __call__ 2025-08-14T22:43:29.4229613Z obj = type.__call__(cls, *args, **kwargs) 2025-08-14T22:43:29.4229948Z File "/torchbench/torchbenchmark/models/hf_distil_whisper/__init__.py", line 13, in __init__ 2025-08-14T22:43:29.4230315Z raise NotImplementedError("Training is not implemented.") 2025-08-14T22:43:29.4230596Z NotImplementedError: Training is not implemented. 2025-08-14T22:43:29.4230754Z 2025-08-14T22:43:29.4230814Z model_fail_to_load 2025-08-14T22:43:31.6971937Z 2025-08-14T22:43:35.8018819Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:43:35.8019114Z loading model: 0it [00:04, ?it/s] 2025-08-14T22:43:35.8019257Z cuda train lennard_jones 2025-08-14T22:43:39.2179927Z W0814 22:43:39.217000 716466 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-08-14T22:43:39.6728013Z Compilation time (from dynamo_timed): 3.543108179 2025-08-14T22:43:39.6728377Z pass 2025-08-14T22:43:39.6728710Z TIMING: gc:0.00198 entire_frame_compile:3.54311 backend_compile:0.83954 total_wall_time:3.54311 2025-08-14T22:43:39.6736223Z STATS: call_* op count: 82 | FakeTensor.__torch_dispatch__:165 | FakeTensorMode.__torch_dispatch__:2330 | attempt fast:16 | fast is_contiguous:16 | ProxyTorchDispatchMode.__torch_dispatch__:1003 2025-08-14T22:43:39.6736830Z Dynamo produced 3 graphs covering 82 ops with 7 graph breaks (5 unique) 2025-08-14T22:43:40.8818399Z accuracy pass_rate=77.14% 2025-08-14T22:43:40.8821123Z calls_captured gmean=0.00x mean=666.629x 2025-08-14T22:43:40.8821582Z unique_graphs gmean=0.00x mean=3.400x 2025-08-14T22:43:40.8823221Z graph_breaks gmean=0.00x mean=6.429x 2025-08-14T22:43:40.8823806Z unique_graph_breaks gmean=0.00x mean=4.314x 2025-08-14T22:43:40.8824245Z autograd_captures gmean=0.00x mean=0.000x 2025-08-14T22:43:40.8824588Z autograd_compiles gmean=0.00x mean=0.000x 2025-08-14T22:43:40.8832339Z cudagraph_skips gmean=0.00x mean=0.000x 2025-08-14T22:43:40.8833017Z compilation_latency mean=16.367 seconds 2025-08-14T22:43:41.4744924Z + python benchmarks/dynamo/check_accuracy.py --actual /var/lib/jenkins/pytorch/test/test-reports/training_torchbench.csv --expected benchmarks/dynamo/ci_expected_accuracy/rocm/dynamic_aot_eager_torchbench_training.csv 2025-08-14T22:43:41.6510936Z torchrec_dlrm FAIL_BUT_FLAKY: accuracy=eager_fail_to_run, expected=fail_to_run 2025-08-14T22:43:41.6511187Z BERT_pytorch PASS 2025-08-14T22:43:41.6511381Z Background_Matting XFAIL 2025-08-14T22:43:41.6513088Z LearningToPaint PASS 2025-08-14T22:43:41.6514279Z Super_SloMo PASS 2025-08-14T22:43:41.6520750Z alexnet FAIL_BUT_FLAKY: accuracy=eager_two_runs_differ, expected=pass 2025-08-14T22:43:41.6521928Z basic_gnn_edgecnn PASS 2025-08-14T22:43:41.6522177Z basic_gnn_gcn PASS 2025-08-14T22:43:41.6524071Z basic_gnn_gin PASS 2025-08-14T22:43:41.6524224Z basic_gnn_sage PASS 2025-08-14T22:43:41.6524352Z dcgan PASS 2025-08-14T22:43:41.6526706Z demucs PASS 2025-08-14T22:43:41.6526993Z densenet121 PASS 2025-08-14T22:43:41.6528823Z dlrm PASS 2025-08-14T22:43:41.6530470Z drq PASS 2025-08-14T22:43:41.6537407Z fastNLP_Bert PASS 2025-08-14T22:43:41.6537799Z functorch_dp_cifar10 PASS 2025-08-14T22:43:41.6537953Z functorch_maml_omniglot PASS 2025-08-14T22:43:41.6538088Z hf_Albert PASS 2025-08-14T22:43:41.6538791Z hf_Bart PASS 2025-08-14T22:43:41.6540476Z hf_Bert PASS 2025-08-14T22:43:41.6541949Z hf_Bert_large PASS 2025-08-14T22:43:41.6543873Z hf_BigBird XFAIL 2025-08-14T22:43:41.6545594Z hf_DistilBert PASS 2025-08-14T22:43:41.6547023Z hf_GPT2 PASS 2025-08-14T22:43:41.6548622Z hf_GPT2_large XFAIL 2025-08-14T22:43:41.6550776Z hf_Longformer PASS 2025-08-14T22:43:41.6552909Z hf_Reformer FAIL_BUT_FLAKY: accuracy=fail_to_run, expected=pass 2025-08-14T22:43:41.6553677Z hf_Roberta_base PASS 2025-08-14T22:43:41.6555298Z hf_T5 PASS 2025-08-14T22:43:41.6556955Z hf_T5_base PASS_BUT_FLAKY: accuracy=pass, expected=eager_2nd_run_OOM 2025-08-14T22:43:41.6558384Z hf_T5_large XFAIL 2025-08-14T22:43:41.6560085Z hf_Whisper PASS 2025-08-14T22:43:41.6561619Z hf_distil_whisper XFAIL 2025-08-14T22:43:41.6563281Z lennard_jones PASS 2025-08-14T22:43:41.6828028Z + python benchmarks/dynamo/check_graph_breaks.py --actual /var/lib/jenkins/pytorch/test/test-reports/training_torchbench.csv --expected benchmarks/dynamo/ci_expected_accuracy/rocm/dynamic_aot_eager_torchbench_training.csv 2025-08-14T22:43:41.8749368Z torchrec_dlrm IMPROVED_BUT_FLAKY: graph_breaks=0, expected=3 2025-08-14T22:43:41.8749714Z BERT_pytorch PASS 2025-08-14T22:43:41.8750029Z Background_Matting PASS 2025-08-14T22:43:41.8750237Z LearningToPaint PASS 2025-08-14T22:43:41.8750446Z Super_SloMo PASS 2025-08-14T22:43:41.8750696Z alexnet IMPROVED_BUT_FLAKY: graph_breaks=0, expected=6 2025-08-14T22:43:41.8750963Z basic_gnn_edgecnn PASS 2025-08-14T22:43:41.8751567Z basic_gnn_gcn PASS 2025-08-14T22:43:41.8753731Z basic_gnn_gin PASS 2025-08-14T22:43:41.8754917Z basic_gnn_sage PASS 2025-08-14T22:43:41.8759252Z dcgan PASS 2025-08-14T22:43:41.8759703Z demucs PASS_BUT_FLAKY 2025-08-14T22:43:41.8759879Z densenet121 PASS_BUT_FLAKY 2025-08-14T22:43:41.8761640Z dlrm PASS 2025-08-14T22:43:41.8763481Z drq PASS 2025-08-14T22:43:41.8765274Z fastNLP_Bert PASS 2025-08-14T22:43:41.8766746Z functorch_dp_cifar10 PASS 2025-08-14T22:43:41.8768444Z functorch_maml_omniglot PASS 2025-08-14T22:43:41.8770044Z hf_Albert PASS 2025-08-14T22:43:41.8771671Z hf_Bart PASS 2025-08-14T22:43:41.8773550Z hf_Bert PASS 2025-08-14T22:43:41.8775932Z hf_Bert_large PASS 2025-08-14T22:43:41.8776961Z hf_BigBird PASS_BUT_FLAKY 2025-08-14T22:43:41.8778629Z hf_DistilBert PASS 2025-08-14T22:43:41.8780263Z hf_GPT2 PASS 2025-08-14T22:43:41.8782040Z hf_GPT2_large PASS 2025-08-14T22:43:41.8783970Z hf_Longformer FAIL_BUT_FLAKY: graph_breaks=10, expected=4 2025-08-14T22:43:41.8785596Z hf_Reformer IMPROVED_BUT_FLAKY: graph_breaks=21, expected=25 2025-08-14T22:43:41.8787178Z hf_Roberta_base PASS_BUT_FLAKY 2025-08-14T22:43:41.8788784Z hf_T5 FAIL_BUT_FLAKY: graph_breaks=5, expected=0 2025-08-14T22:43:41.8790453Z hf_T5_base FAIL_BUT_FLAKY: graph_breaks=5, expected=0 2025-08-14T22:43:41.8794796Z hf_T5_large PASS 2025-08-14T22:43:41.8795044Z hf_Whisper PASS 2025-08-14T22:43:41.8795559Z hf_distil_whisper PASS 2025-08-14T22:43:41.8797452Z lennard_jones PASS 2025-08-14T22:43:41.9067228Z + sccache_epilogue 2025-08-14T22:43:41.9067450Z + echo '::group::Sccache Compilation Log' 2025-08-14T22:43:41.9069791Z ##[group]Sccache Compilation Log 2025-08-14T22:43:41.9070325Z + echo '=================== sccache compilation log ===================' 2025-08-14T22:43:41.9070777Z =================== sccache compilation log =================== 2025-08-14T22:43:41.9071427Z + python /var/lib/jenkins/pytorch/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log 2025-08-14T22:43:41.9201427Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ===========' 2025-08-14T22:43:41.9201933Z =========== If your build fails, please take a look at the log above for possible reasons =========== 2025-08-14T22:43:41.9202289Z + sccache --show-stats 2025-08-14T22:43:41.9214650Z Compile requests 3995 2025-08-14T22:43:41.9215166Z Compile requests executed 720 2025-08-14T22:43:41.9215361Z Cache hits 0 2025-08-14T22:43:41.9215529Z Cache misses 712 2025-08-14T22:43:41.9215690Z Cache misses (C/C++) 202 2025-08-14T22:43:41.9215859Z Cache misses (HIP) 510 2025-08-14T22:43:41.9216020Z Cache hits rate 0.00 % 2025-08-14T22:43:41.9216310Z Cache hits rate (C/C++) 0.00 % 2025-08-14T22:43:41.9219271Z Cache hits rate (HIP) 0.00 % 2025-08-14T22:43:41.9219448Z Cache timeouts 0 2025-08-14T22:43:41.9219613Z Cache read errors 0 2025-08-14T22:43:41.9219769Z Forced recaches 0 2025-08-14T22:43:41.9219987Z Cache write errors 0 2025-08-14T22:43:41.9220148Z Cache errors 0 2025-08-14T22:43:41.9220319Z Compilations 712 2025-08-14T22:43:41.9220482Z Compilation failures 8 2025-08-14T22:43:41.9220651Z Non-cacheable compilations 0 2025-08-14T22:43:41.9220826Z Non-cacheable calls 506 2025-08-14T22:43:41.9222960Z Non-compilation calls 2769 2025-08-14T22:43:41.9223134Z Unsupported compiler calls 0 2025-08-14T22:43:41.9223292Z Average cache write 0.010 s 2025-08-14T22:43:41.9223440Z Average compiler 19.643 s 2025-08-14T22:43:41.9223588Z Average cache read hit 0.000 s 2025-08-14T22:43:41.9223735Z Failed distributed compilations 0 2025-08-14T22:43:41.9223826Z 2025-08-14T22:43:41.9223877Z Non-cacheable reasons: 2025-08-14T22:43:41.9224006Z -M 503 2025-08-14T22:43:41.9224144Z -E 3 2025-08-14T22:43:41.9224230Z 2025-08-14T22:43:41.9224424Z Cache location Local disk: "/var/lib/jenkins/.cache/sccache" 2025-08-14T22:43:41.9224619Z Use direct/preprocessor mode? yes 2025-08-14T22:43:41.9226099Z Version (client) 0.10.0 2025-08-14T22:43:41.9226244Z Cache size 60 MiB 2025-08-14T22:43:41.9226387Z Max cache size 10 GiB 2025-08-14T22:43:41.9226530Z + sccache --stop-server 2025-08-14T22:43:41.9228911Z Stopping sccache server... 2025-08-14T22:43:41.9231785Z Compile requests 3995 2025-08-14T22:43:41.9232703Z Compile requests executed 720 2025-08-14T22:43:41.9233057Z Cache hits 0 2025-08-14T22:43:41.9233219Z Cache misses 712 2025-08-14T22:43:41.9233382Z Cache misses (C/C++) 202 2025-08-14T22:43:41.9238842Z Cache misses (HIP) 510 2025-08-14T22:43:41.9239011Z Cache hits rate 0.00 % 2025-08-14T22:43:41.9239167Z Cache hits rate (C/C++) 0.00 % 2025-08-14T22:43:41.9239345Z Cache hits rate (HIP) 0.00 % 2025-08-14T22:43:41.9239500Z Cache timeouts 0 2025-08-14T22:43:41.9239648Z Cache read errors 0 2025-08-14T22:43:41.9239795Z Forced recaches 0 2025-08-14T22:43:41.9240280Z Cache write errors 0 2025-08-14T22:43:41.9240415Z Cache errors 0 2025-08-14T22:43:41.9240566Z Compilations 712 2025-08-14T22:43:41.9240708Z Compilation failures 8 2025-08-14T22:43:41.9240852Z Non-cacheable compilations 0 2025-08-14T22:43:41.9240992Z Non-cacheable calls 506 2025-08-14T22:43:41.9241132Z Non-compilation calls 2769 2025-08-14T22:43:41.9241283Z Unsupported compiler calls 0 2025-08-14T22:43:41.9243094Z Average cache write 0.010 s 2025-08-14T22:43:41.9243248Z Average compiler 19.643 s 2025-08-14T22:43:41.9243367Z Average cache read hit 0.000 s 2025-08-14T22:43:41.9243488Z Failed distributed compilations 0 2025-08-14T22:43:41.9243568Z 2025-08-14T22:43:41.9243693Z Non-cacheable reasons: 2025-08-14T22:43:41.9243794Z -M 503 2025-08-14T22:43:41.9243910Z -E 3 2025-08-14T22:43:41.9243986Z 2025-08-14T22:43:41.9244065Z Cache location Local disk: "/var/lib/jenkins/.cache/sccache" 2025-08-14T22:43:41.9244228Z Use direct/preprocessor mode? yes 2025-08-14T22:43:41.9244347Z Version (client) 0.10.0 2025-08-14T22:43:41.9244466Z Cache size 60 MiB 2025-08-14T22:43:41.9245614Z Max cache size 10 GiB 2025-08-14T22:43:41.9245757Z + echo ::endgroup:: 2025-08-14T22:43:41.9246122Z ##[endgroup] 2025-08-14T22:43:41.9315329Z ##[group]Run # copy test results back to the mounted workspace, needed sudo, resulting permissions were correct 2025-08-14T22:43:41.9315650Z # copy test results back to the mounted workspace, needed sudo, resulting permissions were correct 2025-08-14T22:43:41.9316028Z docker exec -t "9763dcbe93379685b53505298255e1adb888c2d048c7f43d7c04f9910bcdcaf9" sh -c "cd ../pytorch && sudo cp -R test/test-reports ../workspace/test" 2025-08-14T22:43:41.9324138Z shell: /usr/bin/bash -e {0} 2025-08-14T22:43:41.9324248Z env: 2025-08-14T22:43:41.9324340Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:43:41.9324473Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:43:41.9324647Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:43:41.9324805Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:43:41.9325197Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:43:41.9325557Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:43:41.9325761Z AWS_REGION: us-east-1 2025-08-14T22:43:41.9325924Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:43:41.9326073Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:43:41.9328337Z AWS_SESSION_TOKEN: *** 2025-08-14T22:43:41.9328495Z CONTAINER_NAME: 9763dcbe93379685b53505298255e1adb888c2d048c7f43d7c04f9910bcdcaf9 2025-08-14T22:43:41.9328669Z ##[endgroup] 2025-08-14T22:43:41.9799855Z ##[group]Run docker exec -t "9763dcbe93379685b53505298255e1adb888c2d048c7f43d7c04f9910bcdcaf9" sh -c "sudo chown -R 1001:1001 test" 2025-08-14T22:43:41.9800239Z docker exec -t "9763dcbe93379685b53505298255e1adb888c2d048c7f43d7c04f9910bcdcaf9" sh -c "sudo chown -R 1001:1001 test" 2025-08-14T22:43:41.9805967Z shell: /usr/bin/bash -e {0} 2025-08-14T22:43:41.9806072Z env: 2025-08-14T22:43:41.9806161Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:43:41.9806290Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:43:41.9806463Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:43:41.9806627Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:43:41.9806997Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:43:41.9807455Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:43:41.9807570Z AWS_REGION: us-east-1 2025-08-14T22:43:41.9807730Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:43:41.9807878Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:43:41.9810026Z AWS_SESSION_TOKEN: *** 2025-08-14T22:43:41.9810184Z CONTAINER_NAME: 9763dcbe93379685b53505298255e1adb888c2d048c7f43d7c04f9910bcdcaf9 2025-08-14T22:43:41.9810357Z ##[endgroup] 2025-08-14T22:43:42.0974470Z ##[group]Run cat test/**/*_toprint.log || true 2025-08-14T22:43:42.0974669Z cat test/**/*_toprint.log || true 2025-08-14T22:43:42.0978546Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:43:42.0978753Z env: 2025-08-14T22:43:42.0978889Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:43:42.0979067Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:43:42.0979304Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:43:42.0979519Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:43:42.0979935Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:43:42.0980359Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:43:42.0980520Z AWS_REGION: us-east-1 2025-08-14T22:43:42.0980697Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:43:42.0980930Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:43:42.0983244Z AWS_SESSION_TOKEN: *** 2025-08-14T22:43:42.0983459Z CONTAINER_NAME: 9763dcbe93379685b53505298255e1adb888c2d048c7f43d7c04f9910bcdcaf9 2025-08-14T22:43:42.0983674Z ##[endgroup] 2025-08-14T22:43:42.1058083Z cat: 'test/**/*_toprint.log': No such file or directory 2025-08-14T22:43:42.1134382Z Prepare all required actions 2025-08-14T22:43:42.1134728Z Getting action download info 2025-08-14T22:43:42.3041993Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-08-14T22:43:42.7364495Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-08-14T22:43:43.1556142Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-08-14T22:43:43.1556308Z with: 2025-08-14T22:43:43.1556406Z use-gha: true 2025-08-14T22:43:43.1556586Z file-suffix: test-dynamic_aot_eager_torchbench-1-2-linux.rocm.gpu.gfx942.1_48128599003 2025-08-14T22:43:43.1556780Z s3-bucket: gha-artifacts 2025-08-14T22:43:43.1556889Z env: 2025-08-14T22:43:43.1556981Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:43:43.1557118Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:43:43.1557299Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:43:43.1557561Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:43:43.1557952Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:43:43.1558333Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:43:43.1558451Z AWS_REGION: us-east-1 2025-08-14T22:43:43.1558612Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:43:43.1558766Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:43:43.1560949Z AWS_SESSION_TOKEN: *** 2025-08-14T22:43:43.1561118Z CONTAINER_NAME: 9763dcbe93379685b53505298255e1adb888c2d048c7f43d7c04f9910bcdcaf9 2025-08-14T22:43:43.1561297Z ##[endgroup] 2025-08-14T22:43:43.1624959Z ##[group]Run actions/upload-artifact@v4 2025-08-14T22:43:43.1625083Z with: 2025-08-14T22:43:43.1625280Z name: test-jsons-runattempt1-test-dynamic_aot_eager_torchbench-1-2-linux.rocm.gpu.gfx942.1_48128599003.zip 2025-08-14T22:43:43.1625510Z retention-days: 14 2025-08-14T22:43:43.1625610Z if-no-files-found: warn 2025-08-14T22:43:43.1627632Z path: test/**/*.json 2025-08-14T22:43:43.1627733Z compression-level: 6 2025-08-14T22:43:43.1627925Z overwrite: false 2025-08-14T22:43:43.1628022Z include-hidden-files: false 2025-08-14T22:43:43.1628124Z env: 2025-08-14T22:43:43.1628209Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:43:43.1628340Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:43:43.1628510Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:43:43.1628668Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:43:43.1629041Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:43:43.1629405Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:43:43.1631318Z AWS_REGION: us-east-1 2025-08-14T22:43:43.1631447Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:43:43.1631591Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:43:43.1633825Z AWS_SESSION_TOKEN: *** 2025-08-14T22:43:43.1633984Z CONTAINER_NAME: 9763dcbe93379685b53505298255e1adb888c2d048c7f43d7c04f9910bcdcaf9 2025-08-14T22:43:43.1634155Z ##[endgroup] 2025-08-14T22:43:43.5406677Z With the provided path, there will be 7 files uploaded 2025-08-14T22:43:43.5410427Z Artifact name is valid! 2025-08-14T22:43:43.5410762Z Root directory input is valid! 2025-08-14T22:43:43.6750543Z Beginning upload of artifact content to blob storage 2025-08-14T22:43:43.8558482Z Uploaded bytes 59898 2025-08-14T22:43:43.8928386Z Finished uploading artifact content to blob storage! 2025-08-14T22:43:43.8929814Z SHA256 digest of uploaded artifact zip is 65ba7637067fa454b5de9d09c866a22debca0ed7f290eb039773abc81c15a07a 2025-08-14T22:43:43.8930253Z Finalizing artifact upload 2025-08-14T22:43:43.9924493Z Artifact test-jsons-runattempt1-test-dynamic_aot_eager_torchbench-1-2-linux.rocm.gpu.gfx942.1_48128599003.zip.zip successfully finalized. Artifact ID 3769919588 2025-08-14T22:43:43.9925119Z Artifact test-jsons-runattempt1-test-dynamic_aot_eager_torchbench-1-2-linux.rocm.gpu.gfx942.1_48128599003.zip has been successfully uploaded! Final size is 59898 bytes. Artifact ID is 3769919588 2025-08-14T22:43:43.9927893Z Artifact download URL: https://github.com/pytorch/pytorch/actions/runs/16976338999/artifacts/3769919588 2025-08-14T22:43:44.0060246Z ##[group]Run actions/upload-artifact@v4 2025-08-14T22:43:44.0060391Z with: 2025-08-14T22:43:44.0060602Z name: test-reports-runattempt1-test-dynamic_aot_eager_torchbench-1-2-linux.rocm.gpu.gfx942.1_48128599003.zip 2025-08-14T22:43:44.0060831Z retention-days: 14 2025-08-14T22:43:44.0060938Z if-no-files-found: ignore 2025-08-14T22:43:44.0061054Z path: test/**/*.xml test/**/*.csv 2025-08-14T22:43:44.0061178Z compression-level: 6 2025-08-14T22:43:44.0061277Z overwrite: false 2025-08-14T22:43:44.0061450Z include-hidden-files: false 2025-08-14T22:43:44.0061572Z env: 2025-08-14T22:43:44.0061661Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:43:44.0061796Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:43:44.0061969Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:43:44.0062138Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:43:44.0062523Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:43:44.0063052Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:43:44.0063167Z AWS_REGION: us-east-1 2025-08-14T22:43:44.0063327Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:43:44.0063480Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:43:44.0065675Z AWS_SESSION_TOKEN: *** 2025-08-14T22:43:44.0065840Z CONTAINER_NAME: 9763dcbe93379685b53505298255e1adb888c2d048c7f43d7c04f9910bcdcaf9 2025-08-14T22:43:44.0066026Z ##[endgroup] 2025-08-14T22:43:44.4037210Z With the provided path, there will be 9 files uploaded 2025-08-14T22:43:44.4039707Z Artifact name is valid! 2025-08-14T22:43:44.4041156Z Root directory input is valid! 2025-08-14T22:43:44.5300937Z Beginning upload of artifact content to blob storage 2025-08-14T22:43:44.6782038Z Uploaded bytes 17525 2025-08-14T22:43:44.7140557Z Finished uploading artifact content to blob storage! 2025-08-14T22:43:44.7141274Z SHA256 digest of uploaded artifact zip is 303549f580cdad37dac0122aed3cd92e855a1983ddcc3e528762ce0ea2bb6f27 2025-08-14T22:43:44.7141939Z Finalizing artifact upload 2025-08-14T22:43:44.8135160Z Artifact test-reports-runattempt1-test-dynamic_aot_eager_torchbench-1-2-linux.rocm.gpu.gfx942.1_48128599003.zip.zip successfully finalized. Artifact ID 3769919670 2025-08-14T22:43:44.8136764Z Artifact test-reports-runattempt1-test-dynamic_aot_eager_torchbench-1-2-linux.rocm.gpu.gfx942.1_48128599003.zip has been successfully uploaded! Final size is 17525 bytes. Artifact ID is 3769919670 2025-08-14T22:43:44.8139981Z Artifact download URL: https://github.com/pytorch/pytorch/actions/runs/16976338999/artifacts/3769919670 2025-08-14T22:43:44.8264236Z ##[group]Run actions/upload-artifact@v4 2025-08-14T22:43:44.8264388Z with: 2025-08-14T22:43:44.8264583Z name: logs-runattempt1-test-dynamic_aot_eager_torchbench-1-2-linux.rocm.gpu.gfx942.1_48128599003.zip 2025-08-14T22:43:44.8264802Z retention-days: 14 2025-08-14T22:43:44.8264912Z if-no-files-found: ignore 2025-08-14T22:43:44.8266871Z path: usage_log.txt test/**/*.log 2025-08-14T22:43:44.8266999Z compression-level: 6 2025-08-14T22:43:44.8267102Z overwrite: false 2025-08-14T22:43:44.8267208Z include-hidden-files: false 2025-08-14T22:43:44.8267320Z env: 2025-08-14T22:43:44.8267411Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:43:44.8267551Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:43:44.8267732Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:43:44.8268072Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:43:44.8268460Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:43:44.8270576Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:43:44.8270696Z AWS_REGION: us-east-1 2025-08-14T22:43:44.8270863Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:43:44.8271021Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:43:44.8273346Z AWS_SESSION_TOKEN: *** 2025-08-14T22:43:44.8273515Z CONTAINER_NAME: 9763dcbe93379685b53505298255e1adb888c2d048c7f43d7c04f9910bcdcaf9 2025-08-14T22:43:44.8273694Z ##[endgroup] 2025-08-14T22:43:45.2211449Z Multiple search paths detected. Calculating the least common ancestor of all paths 2025-08-14T22:43:45.2213090Z The least common ancestor is /home/runner/_work/pytorch/pytorch. This will be the root directory of the artifact 2025-08-14T22:43:45.2214044Z No files were found with the provided path: usage_log.txt 2025-08-14T22:43:45.2214485Z test/**/*.log. No artifacts will be uploaded. 2025-08-14T22:43:45.2320018Z ##[group]Run # shellcheck disable=SC2156 2025-08-14T22:43:45.2324467Z # shellcheck disable=SC2156 2025-08-14T22:43:45.2324728Z find . -iname "core.[1-9]*" -exec docker exec "${CONTAINER_NAME}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-08-14T22:43:45.2330310Z shell: /usr/bin/bash -e {0} 2025-08-14T22:43:45.2330428Z env: 2025-08-14T22:43:45.2330533Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:43:45.2330677Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:43:45.2330862Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:43:45.2334487Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:43:45.2334882Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:43:45.2335273Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:43:45.2335408Z AWS_REGION: us-east-1 2025-08-14T22:43:45.2335589Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:43:45.2335863Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:43:45.2338185Z AWS_SESSION_TOKEN: *** 2025-08-14T22:43:45.2338357Z CONTAINER_NAME: 9763dcbe93379685b53505298255e1adb888c2d048c7f43d7c04f9910bcdcaf9 2025-08-14T22:43:45.2338537Z ##[endgroup] 2025-08-14T22:43:45.4021592Z ##[group]Run aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722 2025-08-14T22:43:45.4021795Z with: 2025-08-14T22:43:45.4021950Z role-to-assume: arn:aws:iam::308535385114:role/gha_workflow_upload-benchmark-results 2025-08-14T22:43:45.4022139Z role-duration-seconds: 18000 2025-08-14T22:43:45.4022257Z aws-region: us-east-1 2025-08-14T22:43:45.4022365Z audience: sts.amazonaws.com 2025-08-14T22:43:45.4022481Z env: 2025-08-14T22:43:45.4022568Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:43:45.4025056Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:43:45.4025238Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:43:45.4025406Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:43:45.4025802Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:43:45.4026177Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:43:45.4026291Z AWS_REGION: us-east-1 2025-08-14T22:43:45.4026445Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:43:45.4026598Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:43:45.4028855Z AWS_SESSION_TOKEN: *** 2025-08-14T22:43:45.4030864Z CONTAINER_NAME: 9763dcbe93379685b53505298255e1adb888c2d048c7f43d7c04f9910bcdcaf9 2025-08-14T22:43:45.4031041Z ##[endgroup] 2025-08-14T22:43:45.5976658Z Assuming role with OIDC 2025-08-14T22:43:45.7573729Z Authenticated as assumedRoleId AROAUPVRELQNA5GQHA6IA:GitHubActions 2025-08-14T22:43:45.8019393Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main 2025-08-14T22:43:45.8019595Z with: 2025-08-14T22:43:45.8019712Z benchmark-results-dir: test/test-reports 2025-08-14T22:43:45.8019846Z dry-run: false 2025-08-14T22:43:45.8019952Z schema-version: v3 2025-08-14T22:43:45.8020246Z github-token: *** 2025-08-14T22:43:45.8020351Z env: 2025-08-14T22:43:45.8020450Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:43:45.8020598Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:43:45.8020784Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:43:45.8020960Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:43:45.8021352Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:43:45.8021822Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:43:45.8021948Z AWS_REGION: us-east-1 2025-08-14T22:43:45.8022081Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:43:45.8025680Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:43:45.8027813Z AWS_SESSION_TOKEN: *** 2025-08-14T22:43:45.8027989Z CONTAINER_NAME: 9763dcbe93379685b53505298255e1adb888c2d048c7f43d7c04f9910bcdcaf9 2025-08-14T22:43:45.8028171Z ##[endgroup] 2025-08-14T22:43:45.8042526Z ##[group]Run set -eux 2025-08-14T22:43:45.8042656Z set -eux 2025-08-14T22:43:45.8042979Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-08-14T22:43:45.8043187Z  2025-08-14T22:43:45.8043283Z DEVICE_NAME="" 2025-08-14T22:43:45.8043398Z DEVICE_TYPE="" 2025-08-14T22:43:45.8043502Z  2025-08-14T22:43:45.8043603Z if command -v nvidia-smi; then 2025-08-14T22:43:45.8043785Z  # NB: I'm using PyTorch here to get the device name, however, it needs to 2025-08-14T22:43:45.8044014Z  # install the correct version of PyTorch manually for now. Any PyTorch 2025-08-14T22:43:45.8046661Z  # version is fine, I just use 2.7.1 to satify PYPIDEP linter 2025-08-14T22:43:45.8046932Z  python3 -mpip install torch==2.7.1 2025-08-14T22:43:45.8047076Z elif command -v rocminfo; then 2025-08-14T22:43:45.8047251Z  # NB: Installing torch on ROCm runner with pip here causes CI to fail 2025-08-14T22:43:45.8047464Z  # with a memoryview is too large error only on MI300 runners. Is pip 2025-08-14T22:43:45.8047675Z  # version on ROCm runner there too old? As a workaround, let's use the 2025-08-14T22:43:45.8047870Z  # GPU device name coming from rocminfo instead 2025-08-14T22:43:45.8048016Z  DEVICE_NAME=rocm 2025-08-14T22:43:45.8048212Z  DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs) 2025-08-14T22:43:45.8048403Z fi 2025-08-14T22:43:45.8050527Z  2025-08-14T22:43:45.8050650Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV 2025-08-14T22:43:45.8050816Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-08-14T22:43:45.8056230Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:43:45.8056378Z env: 2025-08-14T22:43:45.8056475Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:43:45.8056616Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:43:45.8056800Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:43:45.8059263Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:43:45.8059655Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:43:45.8060037Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:43:45.8060161Z AWS_REGION: us-east-1 2025-08-14T22:43:45.8060298Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:43:45.8060568Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:43:45.8062673Z AWS_SESSION_TOKEN: *** 2025-08-14T22:43:45.8063136Z CONTAINER_NAME: 9763dcbe93379685b53505298255e1adb888c2d048c7f43d7c04f9910bcdcaf9 2025-08-14T22:43:45.8063338Z ##[endgroup] 2025-08-14T22:43:45.8091708Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-08-14T22:43:45.9490086Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T22:43:46.3983562Z Collecting boto3==1.35.33 2025-08-14T22:43:46.5526380Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-08-14T22:43:46.6083446Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 139.1/139.1 KB 2.4 MB/s eta 0:00:00 2025-08-14T22:43:46.6903270Z Collecting psutil==7.0.0 2025-08-14T22:43:46.7229613Z 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) 2025-08-14T22:43:46.7581987Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 278.0/278.0 KB 8.5 MB/s eta 0:00:00 2025-08-14T22:43:46.7931016Z Collecting pynvml==12.0.0 2025-08-14T22:43:46.8205577Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-08-14T22:43:46.8490439Z Collecting jmespath<2.0.0,>=0.7.1 2025-08-14T22:43:46.8756557Z Downloading jmespath-1.0.1-py3-none-any.whl (20 kB) 2025-08-14T22:43:46.9074856Z Collecting s3transfer<0.11.0,>=0.10.0 2025-08-14T22:43:46.9332703Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-08-14T22:43:46.9374867Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 83.2/83.2 KB 22.2 MB/s eta 0:00:00 2025-08-14T22:43:47.2650851Z Collecting botocore<1.36.0,>=1.35.33 2025-08-14T22:43:47.2917655Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-08-14T22:43:47.4452232Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 13.3/13.3 MB 127.1 MB/s eta 0:00:00 2025-08-14T22:43:47.5001993Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-08-14T22:43:47.5275209Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-08-14T22:43:47.5306456Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 47.5/47.5 KB 20.7 MB/s eta 0:00:00 2025-08-14T22:43:47.5613673Z Collecting python-dateutil<3.0.0,>=2.1 2025-08-14T22:43:47.5873823Z Downloading python_dateutil-2.9.0.post0-py2.py3-none-any.whl (229 kB) 2025-08-14T22:43:47.5901928Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 229.9/229.9 KB 133.8 MB/s eta 0:00:00 2025-08-14T22:43:47.5912334Z Requirement already satisfied: urllib3!=2.2.0,<3,>=1.25.4 in /home/runner/.local/lib/python3.10/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.26.20) 2025-08-14T22:43:47.6555297Z Requirement already satisfied: six>=1.5 in /usr/lib/python3/dist-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.16.0) 2025-08-14T22:43:47.7209087Z Installing collected packages: nvidia-ml-py, python-dateutil, pynvml, psutil, jmespath, botocore, s3transfer, boto3 2025-08-14T22:43:48.0752531Z Successfully installed boto3-1.35.33 botocore-1.35.99 jmespath-1.0.1 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0 python-dateutil-2.9.0.post0 s3transfer-0.10.4 2025-08-14T22:43:48.1554102Z + DEVICE_NAME= 2025-08-14T22:43:48.1554450Z /usr/bin/rocminfo 2025-08-14T22:43:48.1554759Z + DEVICE_TYPE= 2025-08-14T22:43:48.1555074Z + command -v nvidia-smi 2025-08-14T22:43:48.1555398Z + command -v rocminfo 2025-08-14T22:43:48.1555695Z + DEVICE_NAME=rocm 2025-08-14T22:43:48.1555967Z ++ rocminfo 2025-08-14T22:43:48.1556246Z ++ grep 'Marketing Name' 2025-08-14T22:43:48.1556558Z ++ tail -n1 2025-08-14T22:43:48.1557067Z ++ awk -F: '{print $2}' 2025-08-14T22:43:48.1557352Z ++ xargs 2025-08-14T22:43:48.2229085Z + DEVICE_TYPE='AMD Instinct Mi325X VF' 2025-08-14T22:43:48.2229444Z + echo DEVICE_NAME=rocm 2025-08-14T22:43:48.2230607Z + echo 'DEVICE_TYPE=AMD Instinct Mi325X VF' 2025-08-14T22:43:48.2269050Z ##[group]Run set -eux 2025-08-14T22:43:48.2269198Z set -eux 2025-08-14T22:43:48.2269391Z  2025-08-14T22:43:48.2269516Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-08-14T22:43:48.2269807Z  echo "Missing github-token input" 2025-08-14T22:43:48.2269941Z  exit 1 2025-08-14T22:43:48.2272090Z fi 2025-08-14T22:43:48.2281723Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:43:48.2281912Z env: 2025-08-14T22:43:48.2282081Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:43:48.2282314Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:43:48.2282626Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:43:48.2282969Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:43:48.2283600Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:43:48.2290363Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:43:48.2290529Z AWS_REGION: us-east-1 2025-08-14T22:43:48.2290756Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:43:48.2290931Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:43:48.2293163Z AWS_SESSION_TOKEN: *** 2025-08-14T22:43:48.2293340Z CONTAINER_NAME: 9763dcbe93379685b53505298255e1adb888c2d048c7f43d7c04f9910bcdcaf9 2025-08-14T22:43:48.2293538Z DEVICE_NAME: rocm 2025-08-14T22:43:48.2293651Z DEVICE_TYPE: AMD Instinct Mi325X VF 2025-08-14T22:43:48.2293888Z GITHUB_TOKEN: *** 2025-08-14T22:43:48.2296232Z ##[endgroup] 2025-08-14T22:43:48.2323191Z + [[ -z *** ]] 2025-08-14T22:43:48.2365547Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-08-14T22:43:48.2365725Z with: 2025-08-14T22:43:48.2365892Z github-token: *** 2025-08-14T22:43:48.2368009Z env: 2025-08-14T22:43:48.2368115Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:43:48.2368264Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:43:48.2368452Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:43:48.2368631Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:43:48.2369027Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:43:48.2369493Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:43:48.2369618Z AWS_REGION: us-east-1 2025-08-14T22:43:48.2369745Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:43:48.2369900Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:43:48.2374093Z AWS_SESSION_TOKEN: *** 2025-08-14T22:43:48.2374270Z CONTAINER_NAME: 9763dcbe93379685b53505298255e1adb888c2d048c7f43d7c04f9910bcdcaf9 2025-08-14T22:43:48.2374451Z DEVICE_NAME: rocm 2025-08-14T22:43:48.2374561Z DEVICE_TYPE: AMD Instinct Mi325X VF 2025-08-14T22:43:48.2374685Z ##[endgroup] 2025-08-14T22:43:48.2389262Z ##[group]Run set -eux 2025-08-14T22:43:48.2389388Z set -eux 2025-08-14T22:43:48.2389488Z  2025-08-14T22:43:48.2389681Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-08-14T22:43:48.2394979Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:43:48.2395130Z env: 2025-08-14T22:43:48.2397405Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:43:48.2397556Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:43:48.2397741Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:43:48.2397910Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:43:48.2398295Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:43:48.2398668Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:43:48.2398796Z AWS_REGION: us-east-1 2025-08-14T22:43:48.2398930Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:43:48.2399186Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:43:48.2403338Z AWS_SESSION_TOKEN: *** 2025-08-14T22:43:48.2403637Z CONTAINER_NAME: 9763dcbe93379685b53505298255e1adb888c2d048c7f43d7c04f9910bcdcaf9 2025-08-14T22:43:48.2403823Z DEVICE_NAME: rocm 2025-08-14T22:43:48.2403933Z DEVICE_TYPE: AMD Instinct Mi325X VF 2025-08-14T22:43:48.2404112Z GITHUB_TOKEN: *** 2025-08-14T22:43:48.2404214Z ##[endgroup] 2025-08-14T22:43:48.2422686Z + python3 /home/runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 16976338999 linux.rocm.gpu.gfx942.1-ccq8d-runner-bpn7b 2025-08-14T22:43:50.4635676Z setting job-id=48128599003 2025-08-14T22:43:50.4636165Z setting job-name=rocm-py3_10-periodic-dynamo-benchmarks / test (dynamic_aot_eager_torchbench, 1, 2, linux.rocm.gpu.gfx942.1) 2025-08-14T22:43:50.4719050Z ##[group]Run set -eux 2025-08-14T22:43:50.4719186Z set -eux 2025-08-14T22:43:50.4719284Z  2025-08-14T22:43:50.4719448Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-08-14T22:43:50.4719664Z  --schema-version "${SCHEMA_VERSION}" \ 2025-08-14T22:43:50.4719807Z  --repo "${REPO}" \ 2025-08-14T22:43:50.4719945Z  --head-branch "${HEAD_BRANCH}" \ 2025-08-14T22:43:50.4720078Z  --head-sha "${HEAD_SHA}" \ 2025-08-14T22:43:50.4722814Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-08-14T22:43:50.4722961Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-08-14T22:43:50.4723096Z  --job-id "${JOB_ID}" \ 2025-08-14T22:43:50.4723221Z  --job-name "${JOB_NAME}" 2025-08-14T22:43:50.4728379Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:43:50.4728530Z env: 2025-08-14T22:43:50.4728625Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:43:50.4728765Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:43:50.4728947Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:43:50.4729122Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:43:50.4729511Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:43:50.4732266Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:43:50.4732394Z AWS_REGION: us-east-1 2025-08-14T22:43:50.4732556Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:43:50.4732804Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:43:50.4734924Z AWS_SESSION_TOKEN: *** 2025-08-14T22:43:50.4735100Z CONTAINER_NAME: 9763dcbe93379685b53505298255e1adb888c2d048c7f43d7c04f9910bcdcaf9 2025-08-14T22:43:50.4735282Z DEVICE_NAME: rocm 2025-08-14T22:43:50.4735392Z DEVICE_TYPE: AMD Instinct Mi325X VF 2025-08-14T22:43:50.4735515Z SCHEMA_VERSION: v3 2025-08-14T22:43:50.4737645Z REPO: pytorch/pytorch 2025-08-14T22:43:50.4737765Z HEAD_BRANCH: refs/heads/main 2025-08-14T22:43:50.4737905Z HEAD_SHA: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T22:43:50.4738048Z WORKFLOW_RUN_ID: 16976338999 2025-08-14T22:43:50.4738163Z RUN_ATTEMPT: 1 2025-08-14T22:43:50.4738260Z JOB_ID: 48128599003 2025-08-14T22:43:50.4738484Z JOB_NAME: rocm-py3_10-periodic-dynamo-benchmarks / test (dynamic_aot_eager_torchbench, 1, 2, linux.rocm.gpu.gfx942.1) 2025-08-14T22:43:50.4738719Z ##[endgroup] 2025-08-14T22:43:50.4764589Z + python3 /home/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 16976338999 --run-attempt 1 --job-id 48128599003 --job-name 'rocm-py3_10-periodic-dynamo-benchmarks / test (dynamic_aot_eager_torchbench, 1, 2, linux.rocm.gpu.gfx942.1)' 2025-08-14T22:43:50.4926120Z ##[group]Run set -eux 2025-08-14T22:43:50.4926240Z set -eux 2025-08-14T22:43:50.4926416Z  2025-08-14T22:43:50.4926666Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-08-14T22:43:50.4930333Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:43:50.4930486Z env: 2025-08-14T22:43:50.4932673Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:43:50.4932930Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:43:50.4933115Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:43:50.4933285Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:43:50.4933669Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:43:50.4934042Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:43:50.4934164Z AWS_REGION: us-east-1 2025-08-14T22:43:50.4934299Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:43:50.4934460Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:43:50.4938578Z AWS_SESSION_TOKEN: *** 2025-08-14T22:43:50.4938763Z CONTAINER_NAME: 9763dcbe93379685b53505298255e1adb888c2d048c7f43d7c04f9910bcdcaf9 2025-08-14T22:43:50.4938943Z DEVICE_NAME: rocm 2025-08-14T22:43:50.4939053Z DEVICE_TYPE: AMD Instinct Mi325X VF 2025-08-14T22:43:50.4939178Z ##[endgroup] 2025-08-14T22:43:50.4963905Z + python3 /home/runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-08-14T22:43:50.5179477Z INFO:root:Fail to import torch to get the device name 2025-08-14T22:43:50.5228287Z ##[group]Run set -eux 2025-08-14T22:43:50.5228411Z set -eux 2025-08-14T22:43:50.5228516Z  2025-08-14T22:43:50.5231795Z # TODO (huydhn): Implement this part 2025-08-14T22:43:50.5231972Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-08-14T22:43:50.5235751Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:43:50.5235905Z env: 2025-08-14T22:43:50.5236003Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:43:50.5236151Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:43:50.5236339Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:43:50.5236559Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:43:50.5238986Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:43:50.5239368Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:43:50.5239495Z AWS_REGION: us-east-1 2025-08-14T22:43:50.5239630Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:43:50.5239788Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:43:50.5241888Z AWS_SESSION_TOKEN: *** 2025-08-14T22:43:50.5242063Z CONTAINER_NAME: 9763dcbe93379685b53505298255e1adb888c2d048c7f43d7c04f9910bcdcaf9 2025-08-14T22:43:50.5242248Z DEVICE_NAME: rocm 2025-08-14T22:43:50.5242361Z DEVICE_TYPE: AMD Instinct Mi325X VF 2025-08-14T22:43:50.5244344Z ##[endgroup] 2025-08-14T22:43:50.5262215Z + echo 'dependencies={}' 2025-08-14T22:43:50.5274115Z ##[group]Run set -eux 2025-08-14T22:43:50.5274244Z set -eux 2025-08-14T22:43:50.5274345Z  2025-08-14T22:43:50.5274470Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-08-14T22:43:50.5274651Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-08-14T22:43:50.5274850Z  # We don't want the job to fail if the directory doesn't exist 2025-08-14T22:43:50.5275007Z  exit 0 2025-08-14T22:43:50.5277946Z fi 2025-08-14T22:43:50.5278058Z  2025-08-14T22:43:50.5278166Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-08-14T22:43:50.5278359Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-08-14T22:43:50.5278583Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-08-14T22:43:50.5278818Z  --metadata "${BENCHMARK_METADATA}" \ 2025-08-14T22:43:50.5279020Z  --runners "${RUNNER_INFO}" \ 2025-08-14T22:43:50.5279165Z  --dependencies "${DEPENDENCIES}" \ 2025-08-14T22:43:50.5279306Z  --dry-run 2025-08-14T22:43:50.5281402Z else 2025-08-14T22:43:50.5281570Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-08-14T22:43:50.5281788Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-08-14T22:43:50.5281958Z  --metadata "${BENCHMARK_METADATA}" \ 2025-08-14T22:43:50.5282103Z  --runners "${RUNNER_INFO}" \ 2025-08-14T22:43:50.5282242Z  --dependencies "${DEPENDENCIES}" 2025-08-14T22:43:50.5282370Z fi 2025-08-14T22:43:50.5286298Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:43:50.5288472Z env: 2025-08-14T22:43:50.5288582Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:43:50.5288732Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:43:50.5288924Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:43:50.5289098Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:43:50.5289489Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:43:50.5289863Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:43:50.5289988Z AWS_REGION: us-east-1 2025-08-14T22:43:50.5290127Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:43:50.5290287Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:43:50.5294242Z AWS_SESSION_TOKEN: *** 2025-08-14T22:43:50.5294420Z CONTAINER_NAME: 9763dcbe93379685b53505298255e1adb888c2d048c7f43d7c04f9910bcdcaf9 2025-08-14T22:43:50.5294600Z DEVICE_NAME: rocm 2025-08-14T22:43:50.5294713Z DEVICE_TYPE: AMD Instinct Mi325X VF 2025-08-14T22:43:50.5294853Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-08-14T22:43:50.5294984Z DRY_RUN: false 2025-08-14T22:43:50.5295507Z BENCHMARK_METADATA: {"timestamp": 1755211430, "schema_version": "v3", "name": "rocm-py3_10-periodic-dynamo-benchmarks / test (dynamic_aot_eager_torchbench, 1, 2, linux.rocm.gpu.gfx942.1)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "1fc683cf17c8c673044538d10266c00f92987be2", "workflow_id": 16976338999, "run_attempt": 1, "job_id": 48128599003} 2025-08-14T22:43:50.5296363Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 160, "avail_mem_in_gb": 1259, "extra_info": {"hostname": "linux.rocm.gpu.gfx942.1-ccq8d-runner-bpn7b"}, "name": "rocm", "type": "AMD Instinct Mi325X VF"}] 2025-08-14T22:43:50.5296661Z DEPENDENCIES: {} 2025-08-14T22:43:50.5298465Z ##[endgroup] 2025-08-14T22:43:50.5313170Z + [[ ! -d test/test-reports ]] 2025-08-14T22:43:50.5321657Z + [[ false == \t\r\u\e ]] 2025-08-14T22:43:50.5323535Z + python3 /home/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": 1755211430, "schema_version": "v3", "name": "rocm-py3_10-periodic-dynamo-benchmarks / test (dynamic_aot_eager_torchbench, 1, 2, linux.rocm.gpu.gfx942.1)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "1fc683cf17c8c673044538d10266c00f92987be2", "workflow_id": 16976338999, "run_attempt": 1, "job_id": 48128599003}' --runners '[{"cpu_info": "x86_64", "cpu_count": 160, "avail_mem_in_gb": 1259, "extra_info": {"hostname": "linux.rocm.gpu.gfx942.1-ccq8d-runner-bpn7b"}, "name": "rocm", "type": "AMD Instinct Mi325X VF"}]' --dependencies '{}' 2025-08-14T22:43:50.5963899Z INFO:root:Upload test/test-reports/inference_torchbench.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976338999/48128599003/inference_torchbench.json 2025-08-14T22:43:50.6139828Z INFO:botocore.credentials:Found credentials in environment variables. 2025-08-14T22:43:50.8367057Z INFO:root:Upload test/test-reports/training_torchbench.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976338999/48128599003/training_torchbench.json 2025-08-14T22:43:51.0364114Z Prepare all required actions 2025-08-14T22:43:51.0364345Z Getting action download info 2025-08-14T22:43:51.0387141Z ##[group]Run ./.github/actions/teardown-rocm 2025-08-14T22:43:51.0387287Z env: 2025-08-14T22:43:51.0387387Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:43:51.0387531Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:43:51.0387718Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:43:51.0387892Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:43:51.0388287Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:43:51.0388677Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:43:51.0388797Z AWS_REGION: us-east-1 2025-08-14T22:43:51.0388962Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:43:51.0390908Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:43:51.0393127Z AWS_SESSION_TOKEN: *** 2025-08-14T22:43:51.0393306Z CONTAINER_NAME: 9763dcbe93379685b53505298255e1adb888c2d048c7f43d7c04f9910bcdcaf9 2025-08-14T22:43:51.0393490Z DEVICE_NAME: rocm 2025-08-14T22:43:51.0393601Z DEVICE_TYPE: AMD Instinct Mi325X VF 2025-08-14T22:43:51.0393728Z ##[endgroup] 2025-08-14T22:43:51.0407962Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T22:43:51.0408197Z # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T22:43:51.0408364Z # shellcheck disable=SC2046 2025-08-14T22:43:51.0408509Z docker stop $(docker ps -q) || true 2025-08-14T22:43:51.0408650Z # Prune all stopped containers. 2025-08-14T22:43:51.0408787Z docker container prune -f 2025-08-14T22:43:51.0416303Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:43:51.0416462Z env: 2025-08-14T22:43:51.0416560Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:43:51.0416707Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:43:51.0416973Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:43:51.0417146Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:43:51.0417538Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:43:51.0417916Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:43:51.0418039Z AWS_REGION: us-east-1 2025-08-14T22:43:51.0420139Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:43:51.0420305Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:43:51.0422412Z AWS_SESSION_TOKEN: *** 2025-08-14T22:43:51.0422587Z CONTAINER_NAME: 9763dcbe93379685b53505298255e1adb888c2d048c7f43d7c04f9910bcdcaf9 2025-08-14T22:43:51.0422869Z DEVICE_NAME: rocm 2025-08-14T22:43:51.0422978Z DEVICE_TYPE: AMD Instinct Mi325X VF 2025-08-14T22:43:51.0423107Z ##[endgroup] 2025-08-14T22:44:01.4353584Z 9763dcbe9337 2025-08-14T22:44:04.9063899Z Deleted Containers: 2025-08-14T22:44:04.9064356Z 9763dcbe93379685b53505298255e1adb888c2d048c7f43d7c04f9910bcdcaf9 2025-08-14T22:44:04.9064640Z 2025-08-14T22:44:04.9064752Z Total reclaimed space: 11.82GB 2025-08-14T22:44:04.9114245Z Prepare all required actions 2025-08-14T22:44:04.9132997Z ##[group]Run ./.github/actions/diskspace-cleanup 2025-08-14T22:44:04.9133139Z with: 2025-08-14T22:44:04.9135262Z diskspace-cutoff: 70 2025-08-14T22:44:04.9135376Z env: 2025-08-14T22:44:04.9135473Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:44:04.9135619Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:44:04.9135805Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:44:04.9135979Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:44:04.9136675Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:44:04.9137074Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:44:04.9137197Z AWS_REGION: us-east-1 2025-08-14T22:44:04.9138995Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:44:04.9139163Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:44:04.9141293Z AWS_SESSION_TOKEN: *** 2025-08-14T22:44:04.9141470Z CONTAINER_NAME: 9763dcbe93379685b53505298255e1adb888c2d048c7f43d7c04f9910bcdcaf9 2025-08-14T22:44:04.9141653Z DEVICE_NAME: rocm 2025-08-14T22:44:04.9141767Z DEVICE_TYPE: AMD Instinct Mi325X VF 2025-08-14T22:44:04.9141893Z ##[endgroup] 2025-08-14T22:44:04.9153722Z ##[group]Run set -ex 2025-08-14T22:44:04.9153856Z set -ex 2025-08-14T22:44:04.9153966Z diskspace_cutoff=70 2025-08-14T22:44:04.9156591Z docker_root_dir=$(docker info -f '{{.DockerRootDir}}') 2025-08-14T22:44:04.9156777Z if [ ! -d "$docker_root_dir" ]; then 2025-08-14T22:44:04.9156990Z  echo "Docker root directory ($docker_root_dir) does not exist. Skipping disk space check." 2025-08-14T22:44:04.9157185Z  exit 0 2025-08-14T22:44:04.9157287Z fi 2025-08-14T22:44:04.9157459Z diskspace=$(df -H --output=pcent ${docker_root_dir} | sed -n 2p | sed 's/%//' | sed 's/ //') 2025-08-14T22:44:04.9157797Z msg="Please file an issue on pytorch/pytorch reporting the faulty runner. Include a link to the runner logs so the runner can be identified" 2025-08-14T22:44:04.9158089Z if [[ "$diskspace" -ge "$diskspace_cutoff" ]] ; then 2025-08-14T22:44:04.9158246Z  docker system prune -af 2025-08-14T22:44:04.9158449Z  diskspace_new=$(df -H --output=pcent ${docker_root_dir} | sed -n 2p | sed 's/%//' | sed 's/ //') 2025-08-14T22:44:04.9158680Z  if [[ "$diskspace_new" -gt "$diskspace_cutoff" ]] ; then 2025-08-14T22:44:04.9158917Z  echo "Error: Available diskspace is less than $diskspace_cutoff percent. Not enough diskspace." 2025-08-14T22:44:04.9159124Z  echo "$msg" 2025-08-14T22:44:04.9159334Z  exit 1 2025-08-14T22:44:04.9159442Z  else 2025-08-14T22:44:04.9159568Z  difference=$((diskspace - diskspace_new)) 2025-08-14T22:44:04.9159734Z  echo "Diskspace saved: $difference percent" 2025-08-14T22:44:04.9159871Z  fi 2025-08-14T22:44:04.9159967Z fi 2025-08-14T22:44:04.9165473Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:44:04.9165622Z env: 2025-08-14T22:44:04.9165722Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:44:04.9165863Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:44:04.9166050Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:44:04.9166223Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:44:04.9166616Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD161 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:44:04.9168858Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:44:04.9168990Z AWS_REGION: us-east-1 2025-08-14T22:44:04.9169130Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:44:04.9169288Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:44:04.9171393Z AWS_SESSION_TOKEN: *** 2025-08-14T22:44:04.9171570Z CONTAINER_NAME: 9763dcbe93379685b53505298255e1adb888c2d048c7f43d7c04f9910bcdcaf9 2025-08-14T22:44:04.9171798Z DEVICE_NAME: rocm 2025-08-14T22:44:04.9171909Z DEVICE_TYPE: AMD Instinct Mi325X VF 2025-08-14T22:44:04.9172036Z ##[endgroup] 2025-08-14T22:44:04.9194320Z + diskspace_cutoff=70 2025-08-14T22:44:04.9196576Z ++ docker info -f '{{.DockerRootDir}}' 2025-08-14T22:44:04.9629305Z + docker_root_dir=/home/runner/docker-data 2025-08-14T22:44:04.9629889Z + '[' '!' -d /home/runner/docker-data ']' 2025-08-14T22:44:04.9634603Z ++ df -H --output=pcent /home/runner/docker-data 2025-08-14T22:44:04.9636637Z ++ sed -n 2p 2025-08-14T22:44:04.9637178Z ++ sed s/%// 2025-08-14T22:44:04.9637412Z ++ sed 's/ //' 2025-08-14T22:44:04.9651305Z + diskspace=16 2025-08-14T22:44:04.9652853Z + msg='Please file an issue on pytorch/pytorch reporting the faulty runner. Include a link to the runner logs so the runner can be identified' 2025-08-14T22:44:04.9653357Z + [[ 16 -ge 70 ]] 2025-08-14T22:44:04.9682519Z Post job cleanup. 2025-08-14T22:44:04.9719540Z Post job cleanup. 2025-08-14T22:44:05.0355246Z Post job cleanup. 2025-08-14T22:44:05.0571596Z Logging out of registry 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T22:44:05.0793507Z Post job cleanup. 2025-08-14T22:44:05.1412920Z Post job cleanup. 2025-08-14T22:44:05.1444699Z Post job cleanup. 2025-08-14T22:44:05.1911166Z [command]/usr/bin/git version 2025-08-14T22:44:05.1946152Z git version 2.50.1 2025-08-14T22:44:05.1975786Z Copying '/home/runner/.gitconfig' to '/home/runner/_work/_temp/ae659f32-0092-4c9c-8c0a-d81345df179b/.gitconfig' 2025-08-14T22:44:05.1982965Z Temporarily overriding HOME='/home/runner/_work/_temp/ae659f32-0092-4c9c-8c0a-d81345df179b' before making global git config changes 2025-08-14T22:44:05.1983431Z Adding repository directory to the temporary git global config as a safe directory 2025-08-14T22:44:05.1986266Z [command]/usr/bin/git config --global --add safe.directory /home/runner/_work/pytorch/pytorch 2025-08-14T22:44:05.2020073Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-08-14T22:44:05.2055512Z [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' || :" 2025-08-14T22:44:05.2243121Z Entering 'android/libs/fbjni' 2025-08-14T22:44:05.2271787Z Entering 'third_party/FP16' 2025-08-14T22:44:05.2305825Z Entering 'third_party/FXdiv' 2025-08-14T22:44:05.2342817Z Entering 'third_party/NNPACK' 2025-08-14T22:44:05.2370634Z Entering 'third_party/NVTX' 2025-08-14T22:44:05.2401602Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T22:44:05.2427342Z Entering 'third_party/XNNPACK' 2025-08-14T22:44:05.2460824Z Entering 'third_party/aiter' 2025-08-14T22:44:05.2488716Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T22:44:05.2522918Z Entering 'third_party/benchmark' 2025-08-14T22:44:05.2552970Z Entering 'third_party/composable_kernel' 2025-08-14T22:44:05.2582320Z Entering 'third_party/cpp-httplib' 2025-08-14T22:44:05.2606557Z Entering 'third_party/cpuinfo' 2025-08-14T22:44:05.2634999Z Entering 'third_party/cudnn_frontend' 2025-08-14T22:44:05.2662319Z Entering 'third_party/cutlass' 2025-08-14T22:44:05.2691941Z Entering 'third_party/fbgemm' 2025-08-14T22:44:05.2721817Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T22:44:05.2745634Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T22:44:05.2779088Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T22:44:05.2807884Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T22:44:05.2846632Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T22:44:05.2870645Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T22:44:05.2894174Z Entering 'third_party/fbgemm/external/json' 2025-08-14T22:44:05.2930255Z Entering 'third_party/flash-attention' 2025-08-14T22:44:05.2956916Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T22:44:05.2985251Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T22:44:05.3021354Z Entering 'third_party/flatbuffers' 2025-08-14T22:44:05.3053624Z Entering 'third_party/fmt' 2025-08-14T22:44:05.3078774Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T22:44:05.3104432Z Entering 'third_party/gloo' 2025-08-14T22:44:05.3130718Z Entering 'third_party/googletest' 2025-08-14T22:44:05.3167054Z Entering 'third_party/ideep' 2025-08-14T22:44:05.3200191Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T22:44:05.3229767Z Entering 'third_party/ittapi' 2025-08-14T22:44:05.3257387Z Entering 'third_party/kineto' 2025-08-14T22:44:05.3280455Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T22:44:05.3303572Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T22:44:05.3339926Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T22:44:05.3365227Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T22:44:05.3390325Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T22:44:05.3410744Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T22:44:05.3438501Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T22:44:05.3466355Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T22:44:05.3497313Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T22:44:05.3526872Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T22:44:05.3557009Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T22:44:05.3585511Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T22:44:05.3613545Z Entering 'third_party/kleidiai' 2025-08-14T22:44:05.3648234Z Entering 'third_party/mimalloc' 2025-08-14T22:44:05.3680715Z Entering 'third_party/nlohmann' 2025-08-14T22:44:05.3703036Z Entering 'third_party/onnx' 2025-08-14T22:44:05.3742638Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T22:44:05.3775337Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T22:44:05.3802510Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T22:44:05.3832036Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T22:44:05.3854227Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T22:44:05.3877302Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T22:44:05.3902950Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T22:44:05.3933972Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T22:44:05.3965636Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T22:44:05.3990019Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T22:44:05.4016338Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T22:44:05.4046364Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T22:44:05.4084865Z Entering 'third_party/pocketfft' 2025-08-14T22:44:05.4111523Z Entering 'third_party/protobuf' 2025-08-14T22:44:05.4138725Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T22:44:05.4163636Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T22:44:05.4189781Z Entering 'third_party/psimd' 2025-08-14T22:44:05.4219697Z Entering 'third_party/pthreadpool' 2025-08-14T22:44:05.4250294Z Entering 'third_party/pybind11' 2025-08-14T22:44:05.4279621Z Entering 'third_party/python-peachpy' 2025-08-14T22:44:05.4308127Z Entering 'third_party/sleef' 2025-08-14T22:44:05.4330451Z Entering 'third_party/tensorpipe' 2025-08-14T22:44:05.4365993Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T22:44:05.4400135Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T22:44:05.4433976Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T22:44:05.4463315Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T22:44:05.4493872Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T22:44:05.4544022Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-08-14T22:44:05.4563647Z http.https://github.com/.extraheader 2025-08-14T22:44:05.4565102Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-08-14T22:44:05.4585020Z [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' || :" 2025-08-14T22:44:05.4786355Z Entering 'android/libs/fbjni' 2025-08-14T22:44:05.4804528Z http.https://github.com/.extraheader 2025-08-14T22:44:05.4826337Z Entering 'third_party/FP16' 2025-08-14T22:44:05.4851991Z http.https://github.com/.extraheader 2025-08-14T22:44:05.4880431Z Entering 'third_party/FXdiv' 2025-08-14T22:44:05.4893073Z http.https://github.com/.extraheader 2025-08-14T22:44:05.4912432Z Entering 'third_party/NNPACK' 2025-08-14T22:44:05.4930764Z http.https://github.com/.extraheader 2025-08-14T22:44:05.4947050Z Entering 'third_party/NVTX' 2025-08-14T22:44:05.4965071Z http.https://github.com/.extraheader 2025-08-14T22:44:05.4982881Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T22:44:05.4997530Z http.https://github.com/.extraheader 2025-08-14T22:44:05.5016973Z Entering 'third_party/XNNPACK' 2025-08-14T22:44:05.5034672Z http.https://github.com/.extraheader 2025-08-14T22:44:05.5058528Z Entering 'third_party/aiter' 2025-08-14T22:44:05.5077166Z http.https://github.com/.extraheader 2025-08-14T22:44:05.5104363Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T22:44:05.5126467Z http.https://github.com/.extraheader 2025-08-14T22:44:05.5153768Z Entering 'third_party/benchmark' 2025-08-14T22:44:05.5175563Z http.https://github.com/.extraheader 2025-08-14T22:44:05.5195090Z Entering 'third_party/composable_kernel' 2025-08-14T22:44:05.5218225Z http.https://github.com/.extraheader 2025-08-14T22:44:05.5244076Z Entering 'third_party/cpp-httplib' 2025-08-14T22:44:05.5259959Z http.https://github.com/.extraheader 2025-08-14T22:44:05.5282215Z Entering 'third_party/cpuinfo' 2025-08-14T22:44:05.5296362Z http.https://github.com/.extraheader 2025-08-14T22:44:05.5314264Z Entering 'third_party/cudnn_frontend' 2025-08-14T22:44:05.5330402Z http.https://github.com/.extraheader 2025-08-14T22:44:05.5350212Z Entering 'third_party/cutlass' 2025-08-14T22:44:05.5365297Z http.https://github.com/.extraheader 2025-08-14T22:44:05.5390937Z Entering 'third_party/fbgemm' 2025-08-14T22:44:05.5417282Z http.https://github.com/.extraheader 2025-08-14T22:44:05.5445826Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T22:44:05.5465815Z http.https://github.com/.extraheader 2025-08-14T22:44:05.5484367Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T22:44:05.5507863Z http.https://github.com/.extraheader 2025-08-14T22:44:05.5528615Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T22:44:05.5550656Z http.https://github.com/.extraheader 2025-08-14T22:44:05.5568332Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T22:44:05.5587583Z http.https://github.com/.extraheader 2025-08-14T22:44:05.5618649Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T22:44:05.5636014Z http.https://github.com/.extraheader 2025-08-14T22:44:05.5656164Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T22:44:05.5675398Z http.https://github.com/.extraheader 2025-08-14T22:44:05.5691299Z Entering 'third_party/fbgemm/external/json' 2025-08-14T22:44:05.5706427Z http.https://github.com/.extraheader 2025-08-14T22:44:05.5730348Z Entering 'third_party/flash-attention' 2025-08-14T22:44:05.5754904Z http.https://github.com/.extraheader 2025-08-14T22:44:05.5784108Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T22:44:05.5799259Z http.https://github.com/.extraheader 2025-08-14T22:44:05.5826628Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T22:44:05.5837486Z http.https://github.com/.extraheader 2025-08-14T22:44:05.5863888Z Entering 'third_party/flatbuffers' 2025-08-14T22:44:05.5878952Z http.https://github.com/.extraheader 2025-08-14T22:44:05.5897875Z Entering 'third_party/fmt' 2025-08-14T22:44:05.5914880Z http.https://github.com/.extraheader 2025-08-14T22:44:05.5940020Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T22:44:05.5953765Z http.https://github.com/.extraheader 2025-08-14T22:44:05.5978660Z Entering 'third_party/gloo' 2025-08-14T22:44:05.5997802Z http.https://github.com/.extraheader 2025-08-14T22:44:05.6020568Z Entering 'third_party/googletest' 2025-08-14T22:44:05.6041805Z http.https://github.com/.extraheader 2025-08-14T22:44:05.6061487Z Entering 'third_party/ideep' 2025-08-14T22:44:05.6076319Z http.https://github.com/.extraheader 2025-08-14T22:44:05.6092082Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T22:44:05.6120852Z http.https://github.com/.extraheader 2025-08-14T22:44:05.6151017Z Entering 'third_party/ittapi' 2025-08-14T22:44:05.6184470Z http.https://github.com/.extraheader 2025-08-14T22:44:05.6212127Z Entering 'third_party/kineto' 2025-08-14T22:44:05.6228558Z http.https://github.com/.extraheader 2025-08-14T22:44:05.6246901Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T22:44:05.6261103Z http.https://github.com/.extraheader 2025-08-14T22:44:05.6279888Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T22:44:05.6296205Z http.https://github.com/.extraheader 2025-08-14T22:44:05.6318950Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T22:44:05.6333508Z http.https://github.com/.extraheader 2025-08-14T22:44:05.6354374Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T22:44:05.6385462Z http.https://github.com/.extraheader 2025-08-14T22:44:05.6419732Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T22:44:05.6425518Z http.https://github.com/.extraheader 2025-08-14T22:44:05.6440421Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T22:44:05.6455167Z http.https://github.com/.extraheader 2025-08-14T22:44:05.6476766Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T22:44:05.6490047Z http.https://github.com/.extraheader 2025-08-14T22:44:05.6513741Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T22:44:05.6542388Z http.https://github.com/.extraheader 2025-08-14T22:44:05.6563567Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T22:44:05.6581213Z http.https://github.com/.extraheader 2025-08-14T22:44:05.6604958Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T22:44:05.6619660Z http.https://github.com/.extraheader 2025-08-14T22:44:05.6640091Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T22:44:05.6654699Z http.https://github.com/.extraheader 2025-08-14T22:44:05.6674557Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T22:44:05.6691505Z http.https://github.com/.extraheader 2025-08-14T22:44:05.6711370Z Entering 'third_party/kleidiai' 2025-08-14T22:44:05.6726165Z http.https://github.com/.extraheader 2025-08-14T22:44:05.6750437Z Entering 'third_party/mimalloc' 2025-08-14T22:44:05.6767872Z http.https://github.com/.extraheader 2025-08-14T22:44:05.6798546Z Entering 'third_party/nlohmann' 2025-08-14T22:44:05.6817663Z http.https://github.com/.extraheader 2025-08-14T22:44:05.6838952Z Entering 'third_party/onnx' 2025-08-14T22:44:05.6858980Z http.https://github.com/.extraheader 2025-08-14T22:44:05.6886075Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T22:44:05.6903213Z http.https://github.com/.extraheader 2025-08-14T22:44:05.6927787Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T22:44:05.6945098Z http.https://github.com/.extraheader 2025-08-14T22:44:05.6969685Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T22:44:05.6985859Z http.https://github.com/.extraheader 2025-08-14T22:44:05.7006102Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T22:44:05.7020757Z http.https://github.com/.extraheader 2025-08-14T22:44:05.7040180Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T22:44:05.7054310Z http.https://github.com/.extraheader 2025-08-14T22:44:05.7071551Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T22:44:05.7087075Z http.https://github.com/.extraheader 2025-08-14T22:44:05.7104997Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T22:44:05.7118182Z http.https://github.com/.extraheader 2025-08-14T22:44:05.7137555Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T22:44:05.7151822Z http.https://github.com/.extraheader 2025-08-14T22:44:05.7170301Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T22:44:05.7183122Z http.https://github.com/.extraheader 2025-08-14T22:44:05.7204891Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T22:44:05.7219376Z http.https://github.com/.extraheader 2025-08-14T22:44:05.7237968Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T22:44:05.7252062Z http.https://github.com/.extraheader 2025-08-14T22:44:05.7275994Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T22:44:05.7289902Z http.https://github.com/.extraheader 2025-08-14T22:44:05.7317356Z Entering 'third_party/pocketfft' 2025-08-14T22:44:05.7332672Z http.https://github.com/.extraheader 2025-08-14T22:44:05.7350026Z Entering 'third_party/protobuf' 2025-08-14T22:44:05.7364926Z http.https://github.com/.extraheader 2025-08-14T22:44:05.7383827Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T22:44:05.7397959Z http.https://github.com/.extraheader 2025-08-14T22:44:05.7416381Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T22:44:05.7430126Z http.https://github.com/.extraheader 2025-08-14T22:44:05.7454890Z Entering 'third_party/psimd' 2025-08-14T22:44:05.7474054Z http.https://github.com/.extraheader 2025-08-14T22:44:05.7492659Z Entering 'third_party/pthreadpool' 2025-08-14T22:44:05.7507970Z http.https://github.com/.extraheader 2025-08-14T22:44:05.7526931Z Entering 'third_party/pybind11' 2025-08-14T22:44:05.7552456Z http.https://github.com/.extraheader 2025-08-14T22:44:05.7570281Z Entering 'third_party/python-peachpy' 2025-08-14T22:44:05.7585649Z http.https://github.com/.extraheader 2025-08-14T22:44:05.7604048Z Entering 'third_party/sleef' 2025-08-14T22:44:05.7618434Z http.https://github.com/.extraheader 2025-08-14T22:44:05.7637518Z Entering 'third_party/tensorpipe' 2025-08-14T22:44:05.7652568Z http.https://github.com/.extraheader 2025-08-14T22:44:05.7671655Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T22:44:05.7686068Z http.https://github.com/.extraheader 2025-08-14T22:44:05.7703828Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T22:44:05.7722401Z http.https://github.com/.extraheader 2025-08-14T22:44:05.7744231Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T22:44:05.7757274Z http.https://github.com/.extraheader 2025-08-14T22:44:05.7774946Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T22:44:05.7792048Z http.https://github.com/.extraheader 2025-08-14T22:44:05.7807741Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T22:44:05.7820912Z http.https://github.com/.extraheader 2025-08-14T22:44:05.7975269Z Cleaning up orphan processes