2025-08-14T21:26:09.5631137Z Current runner version: '2.328.0' 2025-08-14T21:26:09.5634229Z Runner name: 'linux.rocm.gpu.gfx942.1-ccq8d-runner-2pgm2' 2025-08-14T21:26:09.5634612Z Runner group name: 'default' 2025-08-14T21:26:09.5635010Z Machine name: 'linux' 2025-08-14T21:26:09.5636181Z ##[group]GITHUB_TOKEN Permissions 2025-08-14T21:26:09.5637314Z Contents: read 2025-08-14T21:26:09.5637550Z Metadata: read 2025-08-14T21:26:09.5637798Z ##[endgroup] 2025-08-14T21:26:09.5638996Z Secret source: Actions 2025-08-14T21:26:09.5639333Z Prepare workflow directory 2025-08-14T21:26:09.5934318Z Prepare all required actions 2025-08-14T21:26:09.5954475Z Getting action download info 2025-08-14T21:26:09.8835125Z Download action repository 'pytorch/pytorch@main' (SHA:3be70dc30e893b552fc0f23ca06cd8f7949b6d08) 2025-08-14T21:26:12.4150921Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-08-14T21:26:12.8343413Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-08-14T21:26:13.1963863Z Download action repository 'pytorch/test-infra@main' (SHA:83f58f391e939c10dcb8cb6d745e4cefa3b98a84) 2025-08-14T21:26:13.7209122Z Download action repository 'actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-08-14T21:26:14.2580883Z Getting action download info 2025-08-14T21:26:14.3952526Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-08-14T21:26:14.7724395Z Getting action download info 2025-08-14T21:26:14.9037311Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-08-14T21:26:15.2893838Z Getting action download info 2025-08-14T21:26:15.4323595Z Uses: pytorch/pytorch/.github/workflows/_rocm-test.yml@refs/heads/main (1fc683cf17c8c673044538d10266c00f92987be2) 2025-08-14T21:26:15.4325642Z ##[group] Inputs 2025-08-14T21:26:15.4325790Z build-environment: linux-jammy-rocm-py3_10 2025-08-14T21:26:15.4327472Z 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"}]} 2025-08-14T21:26:15.4329494Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:26:15.4329792Z sync-tag: 2025-08-14T21:26:15.4330192Z timeout-minutes: 300 2025-08-14T21:26:15.4330291Z tests-to-include: 2025-08-14T21:26:15.4330588Z dashboard-tag: 2025-08-14T21:26:15.4331009Z disable-monitor: true 2025-08-14T21:26:15.4331124Z monitor-log-interval: 5 2025-08-14T21:26:15.4331254Z monitor-data-collect-interval: 1 2025-08-14T21:26:15.4331376Z ##[endgroup] 2025-08-14T21:26:15.4331585Z Complete job name: rocm-py3_10-periodic-dynamo-benchmarks / test (aot_eager_torchbench, 1, 2, linux.rocm.gpu.gfx942.1) 2025-08-14T21:26:15.4624420Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-08-14T21:26:15.4624666Z with: 2025-08-14T21:26:15.4624747Z no-sudo: true 2025-08-14T21:26:15.4624833Z submodules: recursive 2025-08-14T21:26:15.4624924Z fetch-depth: 0 2025-08-14T21:26:15.4625048Z env: 2025-08-14T21:26:15.4625134Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:26:15.4625238Z ##[endgroup] 2025-08-14T21:26:15.4683938Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:26:15.4684292Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:26:15.4692926Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:26:15.4693070Z env: 2025-08-14T21:26:15.4693152Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:26:15.4693247Z ##[endgroup] 2025-08-14T21:26:15.4827166Z ##[group]Run # Use all available CPUs for fetching 2025-08-14T21:26:15.4827474Z # Use all available CPUs for fetching 2025-08-14T21:26:15.4827663Z cd "${GITHUB_WORKSPACE}" 2025-08-14T21:26:15.4827955Z git config --global fetch.parallel 0 2025-08-14T21:26:15.4828172Z git config --global submodule.fetchJobs 0 2025-08-14T21:26:15.4828483Z  2025-08-14T21:26:15.4828692Z # Clean workspace. The default checkout action should also do this, but 2025-08-14T21:26:15.4828948Z # do it here as well just in case 2025-08-14T21:26:15.4829130Z if [[ -d .git ]]; then 2025-08-14T21:26:15.4829308Z  if [ -z "${NO_SUDO}" ]; then 2025-08-14T21:26:15.4829486Z  sudo git clean -ffdx 2025-08-14T21:26:15.4829620Z  else 2025-08-14T21:26:15.4829717Z  git clean -ffdx 2025-08-14T21:26:15.4829817Z  fi 2025-08-14T21:26:15.4829904Z fi 2025-08-14T21:26:15.4835812Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:26:15.4835965Z env: 2025-08-14T21:26:15.4836059Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:26:15.4839150Z NO_SUDO: true 2025-08-14T21:26:15.4839237Z ##[endgroup] 2025-08-14T21:26:15.4938548Z ##[group]Run actions/checkout@v4 2025-08-14T21:26:15.4938675Z with: 2025-08-14T21:26:15.4938776Z ref: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:26:15.4938900Z fetch-depth: 0 2025-08-14T21:26:15.4938990Z submodules: recursive 2025-08-14T21:26:15.4939083Z show-progress: false 2025-08-14T21:26:15.4939179Z repository: pytorch/pytorch 2025-08-14T21:26:15.4939350Z token: *** 2025-08-14T21:26:15.4939431Z ssh-strict: true 2025-08-14T21:26:15.4939527Z ssh-user: git 2025-08-14T21:26:15.4939613Z persist-credentials: true 2025-08-14T21:26:15.4939713Z clean: true 2025-08-14T21:26:15.4939805Z sparse-checkout-cone-mode: true 2025-08-14T21:26:15.4939910Z fetch-tags: false 2025-08-14T21:26:15.4939993Z lfs: false 2025-08-14T21:26:15.4940081Z set-safe-directory: true 2025-08-14T21:26:15.4940187Z env: 2025-08-14T21:26:15.4940269Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:26:15.4940365Z ##[endgroup] 2025-08-14T21:26:15.5477465Z Syncing repository: pytorch/pytorch 2025-08-14T21:26:15.5478175Z ##[group]Getting Git version info 2025-08-14T21:26:15.5478341Z Working directory is '/home/runner/_work/pytorch/pytorch' 2025-08-14T21:26:15.5478578Z [command]/usr/bin/git version 2025-08-14T21:26:15.5478681Z git version 2.50.1 2025-08-14T21:26:15.5488070Z ##[endgroup] 2025-08-14T21:26:15.5493761Z Copying '/home/runner/.gitconfig' to '/home/runner/_work/_temp/3760cb77-be6a-481a-bb0d-0ccb3c7baa04/.gitconfig' 2025-08-14T21:26:15.5498394Z Temporarily overriding HOME='/home/runner/_work/_temp/3760cb77-be6a-481a-bb0d-0ccb3c7baa04' before making global git config changes 2025-08-14T21:26:15.5498795Z Adding repository directory to the temporary git global config as a safe directory 2025-08-14T21:26:15.5500945Z [command]/usr/bin/git config --global --add safe.directory /home/runner/_work/pytorch/pytorch 2025-08-14T21:26:15.5536644Z Deleting the contents of '/home/runner/_work/pytorch/pytorch' 2025-08-14T21:26:15.5538826Z ##[group]Initializing the repository 2025-08-14T21:26:15.5542626Z [command]/usr/bin/git init /home/runner/_work/pytorch/pytorch 2025-08-14T21:26:15.5575040Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-08-14T21:26:15.5575309Z hint: is subject to change. To configure the initial branch name to use in all 2025-08-14T21:26:15.5575520Z hint: of your new repositories, which will suppress this warning, call: 2025-08-14T21:26:15.5575726Z hint: 2025-08-14T21:26:15.5575872Z hint: git config --global init.defaultBranch 2025-08-14T21:26:15.5576019Z hint: 2025-08-14T21:26:15.5576149Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-08-14T21:26:15.5576351Z hint: 'development'. The just-created branch can be renamed via this command: 2025-08-14T21:26:15.5576507Z hint: 2025-08-14T21:26:15.5576600Z hint: git branch -m 2025-08-14T21:26:15.5576708Z hint: 2025-08-14T21:26:15.5576845Z hint: Disable this message with "git config set advice.defaultBranchName false" 2025-08-14T21:26:15.5577075Z Initialized empty Git repository in /home/runner/_work/pytorch/pytorch/.git/ 2025-08-14T21:26:15.5580465Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-08-14T21:26:15.5603711Z ##[endgroup] 2025-08-14T21:26:15.5604077Z ##[group]Disabling automatic garbage collection 2025-08-14T21:26:15.5604448Z [command]/usr/bin/git config --local gc.auto 0 2025-08-14T21:26:15.5624736Z ##[endgroup] 2025-08-14T21:26:15.5624944Z ##[group]Setting up auth 2025-08-14T21:26:15.5628289Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-08-14T21:26:15.5654738Z [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' || :" 2025-08-14T21:26:15.5855114Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-08-14T21:26:15.5872401Z [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' || :" 2025-08-14T21:26:15.6030652Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-08-14T21:26:15.6052829Z ##[endgroup] 2025-08-14T21:26:15.6053056Z ##[group]Fetching the repository 2025-08-14T21:26:15.6056663Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-08-14T21:26:40.4137361Z From https://github.com/pytorch/pytorch 2025-08-14T21:26:40.4141926Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-08-14T21:26:40.4142431Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-08-14T21:26:40.4142659Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-08-14T21:26:40.4142906Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-08-14T21:26:40.4154535Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-08-14T21:26:40.4154845Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-08-14T21:26:40.4155110Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-08-14T21:26:40.4155812Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-08-14T21:26:40.4156035Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-08-14T21:26:40.4156225Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-08-14T21:26:40.4156552Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-08-14T21:26:40.4156812Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-08-14T21:26:40.4157044Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-08-14T21:26:40.4157250Z * [new branch] addVllmPin -> origin/addVllmPin 2025-08-14T21:26:40.4157483Z * [new branch] add_windows_testing_back -> origin/add_windows_testing_back 2025-08-14T21:26:40.4157669Z * [new branch] addbuildvllm -> origin/addbuildvllm 2025-08-14T21:26:40.4157854Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-08-14T21:26:40.4158111Z * [new branch] addsimde -> origin/addsimde 2025-08-14T21:26:40.4158288Z * [new branch] addvllpinnedfile -> origin/addvllpinnedfile 2025-08-14T21:26:40.4158475Z * [new branch] adi/acl_upgrade -> origin/adi/acl_upgrade 2025-08-14T21:26:40.4158659Z * [new branch] adi/skip_slow_tests -> origin/adi/skip_slow_tests 2025-08-14T21:26:40.4158834Z * [new branch] adi/test -> origin/adi/test 2025-08-14T21:26:40.4159001Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-08-14T21:26:40.4159178Z * [new branch] adi/test_fusions -> origin/adi/test_fusions 2025-08-14T21:26:40.4159360Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-08-14T21:26:40.4159559Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-08-14T21:26:40.4159741Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-08-14T21:26:40.4159927Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-08-14T21:26:40.4160227Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-08-14T21:26:40.4160480Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-08-14T21:26:40.4160698Z * [new branch] albanD-patch-1 -> origin/albanD-patch-1 2025-08-14T21:26:40.4160871Z * [new branch] alt-disable -> origin/alt-disable 2025-08-14T21:26:40.4161076Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-08-14T21:26:40.4161300Z * [new branch] angelayi/aoti_inductor_fx -> origin/angelayi/aoti_inductor_fx 2025-08-14T21:26:40.4161544Z * [new branch] angelayi/assert_tensor_metadata_device -> origin/angelayi/assert_tensor_metadata_device 2025-08-14T21:26:40.4161777Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-08-14T21:26:40.4161971Z * [new branch] angelayi/benchmark2 -> origin/angelayi/benchmark2 2025-08-14T21:26:40.4162204Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-08-14T21:26:40.4162435Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-08-14T21:26:40.4162653Z * [new branch] angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph 2025-08-14T21:26:40.4162860Z * [new branch] angelayi/customop -> origin/angelayi/customop 2025-08-14T21:26:40.4163044Z * [new branch] angelayi/del_lib -> origin/angelayi/del_lib 2025-08-14T21:26:40.4163285Z * [new branch] angelayi/docs -> origin/angelayi/docs 2025-08-14T21:26:40.4163465Z * [new branch] angelayi/docs2 -> origin/angelayi/docs2 2025-08-14T21:26:40.4163642Z * [new branch] angelayi/fix_pt2 -> origin/angelayi/fix_pt2 2025-08-14T21:26:40.4163886Z * [new branch] angelayi/logging.bak -> origin/angelayi/logging.bak 2025-08-14T21:26:40.4164084Z * [new branch] angelayi/logging2 -> origin/angelayi/logging2 2025-08-14T21:26:40.4164273Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-08-14T21:26:40.4164463Z * [new branch] angelayi/pytree -> origin/angelayi/pytree 2025-08-14T21:26:40.4164657Z * [new branch] angelayi/save_error -> origin/angelayi/save_error 2025-08-14T21:26:40.4164938Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-08-14T21:26:40.4165373Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 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ciflow/binaries_wheel/160496 -> ciflow/binaries_wheel/160496 2025-08-14T21:26:40.6821188Z * [new tag] ciflow/h100-distributed/156703 -> ciflow/h100-distributed/156703 2025-08-14T21:26:40.6821271Z * [new tag] ciflow/h100-symm-mem/151845 -> ciflow/h100-symm-mem/151845 2025-08-14T21:26:40.6821341Z * [new tag] ciflow/h100-symm-mem/155923 -> ciflow/h100-symm-mem/155923 2025-08-14T21:26:40.6821408Z * [new tag] ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635 2025-08-14T21:26:40.6821474Z * [new tag] ciflow/h100-symm-mem/159118 -> ciflow/h100-symm-mem/159118 2025-08-14T21:26:40.6821726Z * [new tag] ciflow/h100-symm-mem/159562 -> ciflow/h100-symm-mem/159562 2025-08-14T21:26:40.6821797Z * [new tag] ciflow/h100-symm-mem/159889 -> ciflow/h100-symm-mem/159889 2025-08-14T21:26:40.6821918Z * [new tag] ciflow/h100/159158 -> ciflow/h100/159158 2025-08-14T21:26:40.6821994Z * [new tag] ciflow/h100/160450 -> ciflow/h100/160450 2025-08-14T21:26:40.6822252Z * [new tag] ciflow/h100/160480 -> ciflow/h100/160480 2025-08-14T21:26:40.6822715Z * [new tag] ciflow/h100/160614 -> ciflow/h100/160614 2025-08-14T21:26:40.6822978Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/151845 -> ciflow/inductor-perf-test-nightly-rocm/151845 2025-08-14T21:26:40.6823267Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/160538 -> ciflow/inductor-perf-test-nightly-rocm/160538 2025-08-14T21:26:40.6823668Z * [new tag] ciflow/inductor-perf-test-nightly-x86-zen/156599 -> ciflow/inductor-perf-test-nightly-x86-zen/156599 2025-08-14T21:26:40.6823965Z * [new tag] ciflow/inductor-periodic/160406 -> ciflow/inductor-periodic/160406 2025-08-14T21:26:40.6824175Z * [new tag] ciflow/inductor-periodic/160538 -> ciflow/inductor-periodic/160538 2025-08-14T21:26:40.6824484Z * [new tag] ciflow/inductor-rocm/151845 -> ciflow/inductor-rocm/151845 2025-08-14T21:26:40.6824785Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-08-14T21:26:40.6825012Z * [new tag] ciflow/inductor-rocm/160073 -> ciflow/inductor-rocm/160073 2025-08-14T21:26:40.6825209Z * [new tag] ciflow/inductor-rocm/160538 -> ciflow/inductor-rocm/160538 2025-08-14T21:26:40.6826877Z * [new tag] ciflow/inductor/134881 -> ciflow/inductor/134881 2025-08-14T21:26:40.6827055Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-08-14T21:26:40.6827195Z * [new tag] ciflow/inductor/144516 -> ciflow/inductor/144516 2025-08-14T21:26:40.6827301Z * [new tag] ciflow/inductor/146506 -> ciflow/inductor/146506 2025-08-14T21:26:40.6827411Z * [new tag] ciflow/inductor/147360 -> ciflow/inductor/147360 2025-08-14T21:26:40.6827516Z * [new tag] ciflow/inductor/147990 -> ciflow/inductor/147990 2025-08-14T21:26:40.6827618Z * [new tag] ciflow/inductor/148180 -> ciflow/inductor/148180 2025-08-14T21:26:40.6827718Z * [new tag] ciflow/inductor/148328 -> ciflow/inductor/148328 2025-08-14T21:26:40.6827828Z * [new tag] ciflow/inductor/148484 -> ciflow/inductor/148484 2025-08-14T21:26:40.6828016Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-08-14T21:26:40.6828126Z * [new tag] ciflow/inductor/150302 -> ciflow/inductor/150302 2025-08-14T21:26:40.6828507Z * [new tag] ciflow/inductor/151845 -> ciflow/inductor/151845 2025-08-14T21:26:40.6828668Z * [new tag] ciflow/inductor/152198 -> ciflow/inductor/152198 2025-08-14T21:26:40.6828959Z * [new tag] ciflow/inductor/152624 -> ciflow/inductor/152624 2025-08-14T21:26:40.6829187Z * [new tag] ciflow/inductor/153966 -> ciflow/inductor/153966 2025-08-14T21:26:40.6829409Z * [new tag] ciflow/inductor/154193 -> ciflow/inductor/154193 2025-08-14T21:26:40.6829679Z * [new tag] ciflow/inductor/154650 -> ciflow/inductor/154650 2025-08-14T21:26:40.6829953Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-08-14T21:26:40.6830114Z * [new tag] ciflow/inductor/155072 -> ciflow/inductor/155072 2025-08-14T21:26:40.6830366Z * [new tag] ciflow/inductor/155152 -> ciflow/inductor/155152 2025-08-14T21:26:40.6830638Z * [new tag] ciflow/inductor/155153 -> ciflow/inductor/155153 2025-08-14T21:26:40.6830876Z * [new tag] ciflow/inductor/155154 -> ciflow/inductor/155154 2025-08-14T21:26:40.6831168Z * [new tag] ciflow/inductor/155501 -> ciflow/inductor/155501 2025-08-14T21:26:40.6833251Z * [new tag] ciflow/inductor/155502 -> ciflow/inductor/155502 2025-08-14T21:26:40.6833347Z * [new tag] ciflow/inductor/155503 -> ciflow/inductor/155503 2025-08-14T21:26:40.6833415Z * [new tag] ciflow/inductor/155504 -> ciflow/inductor/155504 2025-08-14T21:26:40.6833479Z * [new tag] ciflow/inductor/155557 -> ciflow/inductor/155557 2025-08-14T21:26:40.6833548Z * [new tag] ciflow/inductor/155608 -> ciflow/inductor/155608 2025-08-14T21:26:40.6833612Z * [new tag] ciflow/inductor/155923 -> ciflow/inductor/155923 2025-08-14T21:26:40.6833685Z * [new tag] ciflow/inductor/155928 -> ciflow/inductor/155928 2025-08-14T21:26:40.6833750Z * [new tag] ciflow/inductor/155958 -> ciflow/inductor/155958 2025-08-14T21:26:40.6833818Z * [new tag] ciflow/inductor/156049 -> ciflow/inductor/156049 2025-08-14T21:26:40.6833885Z * [new tag] ciflow/inductor/156851 -> ciflow/inductor/156851 2025-08-14T21:26:40.6833960Z * [new tag] ciflow/inductor/156967 -> ciflow/inductor/156967 2025-08-14T21:26:40.6834127Z * [new tag] ciflow/inductor/157148 -> ciflow/inductor/157148 2025-08-14T21:26:40.6834443Z * [new tag] ciflow/inductor/157149 -> ciflow/inductor/157149 2025-08-14T21:26:40.6834650Z * [new tag] ciflow/inductor/157152 -> ciflow/inductor/157152 2025-08-14T21:26:40.6834892Z * [new tag] ciflow/inductor/157542 -> ciflow/inductor/157542 2025-08-14T21:26:40.6835161Z * [new tag] ciflow/inductor/157572 -> ciflow/inductor/157572 2025-08-14T21:26:40.6835336Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-08-14T21:26:40.6835641Z * [new tag] ciflow/inductor/157685 -> ciflow/inductor/157685 2025-08-14T21:26:40.6835883Z * [new tag] ciflow/inductor/157686 -> ciflow/inductor/157686 2025-08-14T21:26:40.6836062Z * [new tag] ciflow/inductor/157689 -> ciflow/inductor/157689 2025-08-14T21:26:40.6836308Z * [new tag] ciflow/inductor/157699 -> ciflow/inductor/157699 2025-08-14T21:26:40.6836629Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-08-14T21:26:40.6836917Z * [new tag] ciflow/inductor/157944 -> ciflow/inductor/157944 2025-08-14T21:26:40.6838576Z * [new tag] ciflow/inductor/157971 -> ciflow/inductor/157971 2025-08-14T21:26:40.6838702Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-08-14T21:26:40.6838925Z * [new tag] ciflow/inductor/158061 -> ciflow/inductor/158061 2025-08-14T21:26:40.6838992Z * [new tag] ciflow/inductor/158091 -> ciflow/inductor/158091 2025-08-14T21:26:40.6839064Z * [new tag] ciflow/inductor/158097 -> ciflow/inductor/158097 2025-08-14T21:26:40.6839128Z * [new tag] ciflow/inductor/158098 -> ciflow/inductor/158098 2025-08-14T21:26:40.6839191Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-08-14T21:26:40.6839253Z * [new tag] ciflow/inductor/158168 -> ciflow/inductor/158168 2025-08-14T21:26:40.6839322Z * [new tag] ciflow/inductor/158250 -> ciflow/inductor/158250 2025-08-14T21:26:40.6839518Z * [new tag] ciflow/inductor/158321 -> ciflow/inductor/158321 2025-08-14T21:26:40.6839825Z * [new tag] ciflow/inductor/158609 -> ciflow/inductor/158609 2025-08-14T21:26:40.6840060Z * [new tag] ciflow/inductor/158647 -> ciflow/inductor/158647 2025-08-14T21:26:40.6840374Z * [new tag] ciflow/inductor/158914 -> ciflow/inductor/158914 2025-08-14T21:26:40.6840768Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-08-14T21:26:40.6840883Z * [new tag] ciflow/inductor/158987 -> ciflow/inductor/158987 2025-08-14T21:26:40.6841172Z * [new tag] ciflow/inductor/159009 -> ciflow/inductor/159009 2025-08-14T21:26:40.6841452Z * [new tag] ciflow/inductor/159010 -> ciflow/inductor/159010 2025-08-14T21:26:40.6841698Z * [new tag] ciflow/inductor/159093 -> ciflow/inductor/159093 2025-08-14T21:26:40.6841895Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-08-14T21:26:40.6842136Z * [new tag] ciflow/inductor/159197 -> ciflow/inductor/159197 2025-08-14T21:26:40.6842469Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-08-14T21:26:40.6842706Z * [new tag] ciflow/inductor/159281 -> ciflow/inductor/159281 2025-08-14T21:26:40.6844210Z * [new tag] ciflow/inductor/159329 -> ciflow/inductor/159329 2025-08-14T21:26:40.6844352Z * [new tag] ciflow/inductor/159361 -> ciflow/inductor/159361 2025-08-14T21:26:40.6844454Z * [new tag] ciflow/inductor/159365 -> ciflow/inductor/159365 2025-08-14T21:26:40.6844561Z * [new tag] ciflow/inductor/159366 -> ciflow/inductor/159366 2025-08-14T21:26:40.6844638Z * [new tag] ciflow/inductor/159367 -> ciflow/inductor/159367 2025-08-14T21:26:40.6844703Z * [new tag] ciflow/inductor/159368 -> ciflow/inductor/159368 2025-08-14T21:26:40.6844781Z * [new tag] ciflow/inductor/159473 -> ciflow/inductor/159473 2025-08-14T21:26:40.6844893Z * [new tag] ciflow/inductor/159483 -> ciflow/inductor/159483 2025-08-14T21:26:40.6845054Z * [new tag] ciflow/inductor/159508 -> ciflow/inductor/159508 2025-08-14T21:26:40.6845318Z * [new tag] ciflow/inductor/159523 -> ciflow/inductor/159523 2025-08-14T21:26:40.6845546Z * [new tag] ciflow/inductor/159678 -> ciflow/inductor/159678 2025-08-14T21:26:40.6845829Z * [new tag] ciflow/inductor/159691 -> ciflow/inductor/159691 2025-08-14T21:26:40.6846129Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-08-14T21:26:40.6846432Z * [new tag] ciflow/inductor/159786 -> ciflow/inductor/159786 2025-08-14T21:26:40.6846655Z * [new tag] ciflow/inductor/159817 -> ciflow/inductor/159817 2025-08-14T21:26:40.6846910Z * [new tag] ciflow/inductor/159842 -> ciflow/inductor/159842 2025-08-14T21:26:40.6847219Z * [new tag] ciflow/inductor/159864 -> ciflow/inductor/159864 2025-08-14T21:26:40.6847444Z * [new tag] ciflow/inductor/159865 -> ciflow/inductor/159865 2025-08-14T21:26:40.6847663Z * [new tag] ciflow/inductor/159869 -> ciflow/inductor/159869 2025-08-14T21:26:40.6848012Z * [new tag] ciflow/inductor/159875 -> ciflow/inductor/159875 2025-08-14T21:26:40.6848333Z * [new tag] ciflow/inductor/159889 -> ciflow/inductor/159889 2025-08-14T21:26:40.6848528Z * [new tag] ciflow/inductor/159902 -> ciflow/inductor/159902 2025-08-14T21:26:40.6850044Z * [new tag] ciflow/inductor/159923 -> ciflow/inductor/159923 2025-08-14T21:26:40.6850239Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-08-14T21:26:40.6850352Z * [new tag] ciflow/inductor/160004 -> ciflow/inductor/160004 2025-08-14T21:26:40.6850565Z * [new tag] ciflow/inductor/160080 -> ciflow/inductor/160080 2025-08-14T21:26:40.6850629Z * [new tag] ciflow/inductor/160108 -> ciflow/inductor/160108 2025-08-14T21:26:40.6850693Z * [new tag] ciflow/inductor/160109 -> ciflow/inductor/160109 2025-08-14T21:26:40.6850815Z * [new tag] ciflow/inductor/160111 -> ciflow/inductor/160111 2025-08-14T21:26:40.6850925Z * [new tag] ciflow/inductor/160113 -> ciflow/inductor/160113 2025-08-14T21:26:40.6851097Z * [new tag] ciflow/inductor/160127 -> ciflow/inductor/160127 2025-08-14T21:26:40.6851380Z * [new tag] ciflow/inductor/160131 -> ciflow/inductor/160131 2025-08-14T21:26:40.6851606Z * [new tag] ciflow/inductor/160132 -> ciflow/inductor/160132 2025-08-14T21:26:40.6851922Z * [new tag] ciflow/inductor/160136 -> ciflow/inductor/160136 2025-08-14T21:26:40.6852137Z * [new tag] ciflow/inductor/160138 -> ciflow/inductor/160138 2025-08-14T21:26:40.6852381Z * [new tag] ciflow/inductor/160151 -> ciflow/inductor/160151 2025-08-14T21:26:40.6852701Z * [new tag] ciflow/inductor/160152 -> ciflow/inductor/160152 2025-08-14T21:26:40.6852936Z * [new tag] ciflow/inductor/160154 -> ciflow/inductor/160154 2025-08-14T21:26:40.6853159Z * [new tag] ciflow/inductor/160156 -> ciflow/inductor/160156 2025-08-14T21:26:40.6853492Z * [new tag] ciflow/inductor/160161 -> ciflow/inductor/160161 2025-08-14T21:26:40.6853838Z * [new tag] ciflow/inductor/160166 -> ciflow/inductor/160166 2025-08-14T21:26:40.6854050Z * [new tag] ciflow/inductor/160168 -> ciflow/inductor/160168 2025-08-14T21:26:40.6854321Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-08-14T21:26:40.6854613Z * [new tag] ciflow/inductor/160181 -> ciflow/inductor/160181 2025-08-14T21:26:40.6854887Z * [new tag] ciflow/inductor/160183 -> ciflow/inductor/160183 2025-08-14T21:26:40.6856964Z * [new tag] ciflow/inductor/160190 -> ciflow/inductor/160190 2025-08-14T21:26:40.6857105Z * [new tag] ciflow/inductor/160198 -> ciflow/inductor/160198 2025-08-14T21:26:40.6857178Z * [new tag] ciflow/inductor/160201 -> ciflow/inductor/160201 2025-08-14T21:26:40.6857246Z * [new tag] ciflow/inductor/160209 -> ciflow/inductor/160209 2025-08-14T21:26:40.6857309Z * [new tag] ciflow/inductor/160218 -> ciflow/inductor/160218 2025-08-14T21:26:40.6857372Z * [new tag] ciflow/inductor/160239 -> ciflow/inductor/160239 2025-08-14T21:26:40.6857437Z * [new tag] ciflow/inductor/160250 -> ciflow/inductor/160250 2025-08-14T21:26:40.6857517Z * [new tag] ciflow/inductor/160253 -> ciflow/inductor/160253 2025-08-14T21:26:40.6857753Z * [new tag] ciflow/inductor/160266 -> ciflow/inductor/160266 2025-08-14T21:26:40.6858037Z * [new tag] ciflow/inductor/160282 -> ciflow/inductor/160282 2025-08-14T21:26:40.6858398Z * [new tag] ciflow/inductor/160298 -> ciflow/inductor/160298 2025-08-14T21:26:40.6858711Z * [new tag] ciflow/inductor/160301 -> ciflow/inductor/160301 2025-08-14T21:26:40.6858878Z * [new tag] ciflow/inductor/160310 -> ciflow/inductor/160310 2025-08-14T21:26:40.6859305Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-08-14T21:26:40.6859616Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-08-14T21:26:40.6859955Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-08-14T21:26:40.6860273Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-08-14T21:26:40.6860620Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-08-14T21:26:40.6860972Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-08-14T21:26:40.6861336Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-08-14T21:26:40.6861589Z * [new tag] ciflow/inductor/160351 -> ciflow/inductor/160351 2025-08-14T21:26:40.6861841Z * [new tag] ciflow/inductor/160353 -> ciflow/inductor/160353 2025-08-14T21:26:40.6862138Z * [new tag] ciflow/inductor/160362 -> ciflow/inductor/160362 2025-08-14T21:26:40.6863789Z * [new tag] ciflow/inductor/160363 -> ciflow/inductor/160363 2025-08-14T21:26:40.6864050Z * [new tag] ciflow/inductor/160364 -> ciflow/inductor/160364 2025-08-14T21:26:40.6864115Z * [new tag] ciflow/inductor/160365 -> ciflow/inductor/160365 2025-08-14T21:26:40.6864185Z * [new tag] ciflow/inductor/160366 -> ciflow/inductor/160366 2025-08-14T21:26:40.6864248Z * [new tag] ciflow/inductor/160367 -> ciflow/inductor/160367 2025-08-14T21:26:40.6864321Z * [new tag] ciflow/inductor/160368 -> ciflow/inductor/160368 2025-08-14T21:26:40.6864388Z * [new tag] ciflow/inductor/160369 -> ciflow/inductor/160369 2025-08-14T21:26:40.6864458Z * [new tag] ciflow/inductor/160371 -> ciflow/inductor/160371 2025-08-14T21:26:40.6864777Z * [new tag] ciflow/inductor/160374 -> ciflow/inductor/160374 2025-08-14T21:26:40.6864922Z * [new tag] ciflow/inductor/160375 -> ciflow/inductor/160375 2025-08-14T21:26:40.6865162Z * [new tag] ciflow/inductor/160377 -> ciflow/inductor/160377 2025-08-14T21:26:40.6865456Z * [new tag] ciflow/inductor/160380 -> ciflow/inductor/160380 2025-08-14T21:26:40.6865799Z * [new tag] ciflow/inductor/160381 -> ciflow/inductor/160381 2025-08-14T21:26:40.6866332Z * [new tag] ciflow/inductor/160383 -> ciflow/inductor/160383 2025-08-14T21:26:40.6866500Z * [new tag] ciflow/inductor/160394 -> ciflow/inductor/160394 2025-08-14T21:26:40.6866817Z * [new tag] ciflow/inductor/160401 -> ciflow/inductor/160401 2025-08-14T21:26:40.6867114Z * [new tag] ciflow/inductor/160402 -> ciflow/inductor/160402 2025-08-14T21:26:40.6867365Z * [new tag] ciflow/inductor/160403 -> ciflow/inductor/160403 2025-08-14T21:26:40.6867626Z * [new tag] ciflow/inductor/160424 -> ciflow/inductor/160424 2025-08-14T21:26:40.6868000Z * [new tag] ciflow/inductor/160426 -> ciflow/inductor/160426 2025-08-14T21:26:40.6868538Z * [new tag] ciflow/inductor/160431 -> ciflow/inductor/160431 2025-08-14T21:26:40.6868723Z * [new tag] ciflow/inductor/160448 -> ciflow/inductor/160448 2025-08-14T21:26:40.6871286Z * [new tag] ciflow/inductor/160450 -> ciflow/inductor/160450 2025-08-14T21:26:40.6871440Z * [new tag] ciflow/inductor/160455 -> ciflow/inductor/160455 2025-08-14T21:26:40.6871525Z * [new tag] ciflow/inductor/160456 -> ciflow/inductor/160456 2025-08-14T21:26:40.6871591Z * [new tag] ciflow/inductor/160461 -> ciflow/inductor/160461 2025-08-14T21:26:40.6871664Z * [new tag] ciflow/inductor/160462 -> ciflow/inductor/160462 2025-08-14T21:26:40.6871728Z * [new tag] ciflow/inductor/160467 -> ciflow/inductor/160467 2025-08-14T21:26:40.6871792Z * [new tag] ciflow/inductor/160470 -> ciflow/inductor/160470 2025-08-14T21:26:40.6871857Z * [new tag] ciflow/inductor/160473 -> ciflow/inductor/160473 2025-08-14T21:26:40.6872108Z * [new tag] ciflow/inductor/160476 -> ciflow/inductor/160476 2025-08-14T21:26:40.6872170Z * [new tag] ciflow/inductor/160480 -> ciflow/inductor/160480 2025-08-14T21:26:40.6872238Z * [new tag] ciflow/inductor/160481 -> ciflow/inductor/160481 2025-08-14T21:26:40.6872391Z * [new tag] ciflow/inductor/160482 -> ciflow/inductor/160482 2025-08-14T21:26:40.6872586Z * [new tag] ciflow/inductor/160483 -> ciflow/inductor/160483 2025-08-14T21:26:40.6872903Z * [new tag] ciflow/inductor/160485 -> ciflow/inductor/160485 2025-08-14T21:26:40.6873213Z * [new tag] ciflow/inductor/160486 -> ciflow/inductor/160486 2025-08-14T21:26:40.6873526Z * [new tag] ciflow/inductor/160503 -> ciflow/inductor/160503 2025-08-14T21:26:40.6873776Z * [new tag] ciflow/inductor/160510 -> ciflow/inductor/160510 2025-08-14T21:26:40.6874023Z * [new tag] ciflow/inductor/160527 -> ciflow/inductor/160527 2025-08-14T21:26:40.6874335Z * [new tag] ciflow/inductor/160530 -> ciflow/inductor/160530 2025-08-14T21:26:40.6874634Z * [new tag] ciflow/inductor/160531 -> ciflow/inductor/160531 2025-08-14T21:26:40.6874889Z * [new tag] ciflow/inductor/160538 -> ciflow/inductor/160538 2025-08-14T21:26:40.6875600Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-08-14T21:26:40.6875943Z * [new tag] ciflow/inductor/160540 -> ciflow/inductor/160540 2025-08-14T21:26:40.6877751Z * [new tag] ciflow/inductor/160548 -> ciflow/inductor/160548 2025-08-14T21:26:40.6877993Z * [new tag] ciflow/inductor/160561 -> ciflow/inductor/160561 2025-08-14T21:26:40.6878065Z * [new tag] ciflow/inductor/160576 -> ciflow/inductor/160576 2025-08-14T21:26:40.6878137Z * [new tag] ciflow/inductor/160578 -> ciflow/inductor/160578 2025-08-14T21:26:40.6878201Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-08-14T21:26:40.6878263Z * [new tag] ciflow/inductor/160583 -> ciflow/inductor/160583 2025-08-14T21:26:40.6878332Z * [new tag] ciflow/inductor/160589 -> ciflow/inductor/160589 2025-08-14T21:26:40.6878413Z * [new tag] ciflow/inductor/160590 -> ciflow/inductor/160590 2025-08-14T21:26:40.6878941Z * [new tag] ciflow/inductor/160592 -> ciflow/inductor/160592 2025-08-14T21:26:40.6879175Z * [new tag] ciflow/inductor/160596 -> ciflow/inductor/160596 2025-08-14T21:26:40.6879432Z * [new tag] ciflow/inductor/160601 -> ciflow/inductor/160601 2025-08-14T21:26:40.6879783Z * [new tag] ciflow/inductor/160607 -> ciflow/inductor/160607 2025-08-14T21:26:40.6880101Z * [new tag] ciflow/inductor/160608 -> ciflow/inductor/160608 2025-08-14T21:26:40.6880414Z * [new tag] ciflow/inductor/160611 -> ciflow/inductor/160611 2025-08-14T21:26:40.6880665Z * [new tag] ciflow/inductor/160614 -> ciflow/inductor/160614 2025-08-14T21:26:40.6881009Z * [new tag] ciflow/inductor/160616 -> ciflow/inductor/160616 2025-08-14T21:26:40.6881271Z * [new tag] ciflow/inductor/160619 -> ciflow/inductor/160619 2025-08-14T21:26:40.6881528Z * [new tag] ciflow/inductor/160625 -> ciflow/inductor/160625 2025-08-14T21:26:40.6881832Z * [new tag] ciflow/inductor/160635 -> ciflow/inductor/160635 2025-08-14T21:26:40.6882183Z * [new tag] ciflow/inductor/160649 -> ciflow/inductor/160649 2025-08-14T21:26:40.6882444Z * [new tag] ciflow/inductor/160658 -> ciflow/inductor/160658 2025-08-14T21:26:40.6882810Z * [new tag] ciflow/inductor/160662 -> ciflow/inductor/160662 2025-08-14T21:26:40.6885137Z * [new tag] ciflow/inductor/160668 -> ciflow/inductor/160668 2025-08-14T21:26:40.6885242Z * [new tag] ciflow/inductor/160669 -> ciflow/inductor/160669 2025-08-14T21:26:40.6885421Z * [new tag] ciflow/inductor/160670 -> ciflow/inductor/160670 2025-08-14T21:26:40.6885505Z * [new tag] ciflow/inductor/160671 -> ciflow/inductor/160671 2025-08-14T21:26:40.6885570Z * [new tag] ciflow/inductor/160677 -> ciflow/inductor/160677 2025-08-14T21:26:40.6885632Z * [new tag] ciflow/inductor/160679 -> ciflow/inductor/160679 2025-08-14T21:26:40.6885714Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-08-14T21:26:40.6885785Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-08-14T21:26:40.6885858Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-08-14T21:26:40.6886139Z * [new tag] ciflow/linux-aarch64/147855 -> ciflow/linux-aarch64/147855 2025-08-14T21:26:40.6886325Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-08-14T21:26:40.6886644Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-08-14T21:26:40.6886781Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-08-14T21:26:40.6887001Z * [new tag] ciflow/linux-aarch64/160299 -> ciflow/linux-aarch64/160299 2025-08-14T21:26:40.6887247Z * [new tag] ciflow/linux-aarch64/160301 -> ciflow/linux-aarch64/160301 2025-08-14T21:26:40.6887553Z * [new tag] ciflow/mps/155923 -> ciflow/mps/155923 2025-08-14T21:26:40.6887762Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-08-14T21:26:40.6888017Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-08-14T21:26:40.6888366Z * [new tag] ciflow/mps/160541 -> ciflow/mps/160541 2025-08-14T21:26:40.6888637Z * [new tag] ciflow/nightly/156049 -> ciflow/nightly/156049 2025-08-14T21:26:40.6888849Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-08-14T21:26:40.6889187Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-08-14T21:26:40.6889567Z * [new tag] ciflow/periodic-rocm-mi300/139971 -> ciflow/periodic-rocm-mi300/139971 2025-08-14T21:26:40.6891362Z * [new tag] ciflow/periodic-rocm-mi300/160073 -> ciflow/periodic-rocm-mi300/160073 2025-08-14T21:26:40.6891552Z * [new tag] ciflow/periodic-rocm-mi300/160538 -> ciflow/periodic-rocm-mi300/160538 2025-08-14T21:26:40.6891630Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-08-14T21:26:40.6891705Z * [new tag] ciflow/periodic/131296 -> ciflow/periodic/131296 2025-08-14T21:26:40.6891787Z * [new tag] ciflow/periodic/139971 -> ciflow/periodic/139971 2025-08-14T21:26:40.6891850Z * [new tag] ciflow/periodic/143959 -> ciflow/periodic/143959 2025-08-14T21:26:40.6891924Z * [new tag] ciflow/periodic/154595 -> ciflow/periodic/154595 2025-08-14T21:26:40.6891989Z * [new tag] ciflow/periodic/156703 -> ciflow/periodic/156703 2025-08-14T21:26:40.6892058Z * [new tag] ciflow/periodic/160201 -> ciflow/periodic/160201 2025-08-14T21:26:40.6892123Z * [new tag] ciflow/periodic/160424 -> ciflow/periodic/160424 2025-08-14T21:26:40.6892303Z * [new tag] ciflow/periodic/160538 -> ciflow/periodic/160538 2025-08-14T21:26:40.6892769Z * [new tag] ciflow/periodic/1febab2a89302464f6c7d69cfbef7a24c421ea65 -> ciflow/periodic/1febab2a89302464f6c7d69cfbef7a24c421ea65 2025-08-14T21:26:40.6893038Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-08-14T21:26:40.6893646Z * [new tag] ciflow/periodic/2ee22e435131369a7e4f8cc4732579acc29a941b -> ciflow/periodic/2ee22e435131369a7e4f8cc4732579acc29a941b 2025-08-14T21:26:40.6893818Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-08-14T21:26:40.6894015Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-08-14T21:26:40.6894367Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-08-14T21:26:40.6894799Z * [new tag] ciflow/periodic/4a773e1e867f28a8ff0b15203e5cd9548f74fcee -> ciflow/periodic/4a773e1e867f28a8ff0b15203e5cd9548f74fcee 2025-08-14T21:26:40.6895111Z * [new tag] ciflow/periodic/5f5f508aa836a46dfe88857fb223049616b94e93 -> ciflow/periodic/5f5f508aa836a46dfe88857fb223049616b94e93 2025-08-14T21:26:40.6895365Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-08-14T21:26:40.6895954Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-08-14T21:26:40.6896180Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-08-14T21:26:40.6898027Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-08-14T21:26:40.6898319Z * [new tag] ciflow/periodic/d7114f05b10de8e6de81ffc567d63944c3117d51 -> ciflow/periodic/d7114f05b10de8e6de81ffc567d63944c3117d51 2025-08-14T21:26:40.6898452Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-08-14T21:26:40.6898590Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-08-14T21:26:40.6898705Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-08-14T21:26:40.6898815Z * [new tag] ciflow/rocm-mi300/151360 -> ciflow/rocm-mi300/151360 2025-08-14T21:26:40.6898941Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-08-14T21:26:40.6899043Z * [new tag] ciflow/rocm-mi300/160073 -> ciflow/rocm-mi300/160073 2025-08-14T21:26:40.6899153Z * [new tag] ciflow/rocm-mi300/160468 -> ciflow/rocm-mi300/160468 2025-08-14T21:26:40.6899272Z * [new tag] ciflow/rocm-mi300/160538 -> ciflow/rocm-mi300/160538 2025-08-14T21:26:40.6899633Z * [new tag] ciflow/rocm-mi355/160215 -> ciflow/rocm-mi355/160215 2025-08-14T21:26:40.6899900Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-08-14T21:26:40.6900123Z * [new tag] ciflow/rocm/151360 -> ciflow/rocm/151360 2025-08-14T21:26:40.6900421Z * [new tag] ciflow/rocm/151845 -> ciflow/rocm/151845 2025-08-14T21:26:40.6900678Z * [new tag] ciflow/rocm/154864 -> ciflow/rocm/154864 2025-08-14T21:26:40.6900984Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-08-14T21:26:40.6901214Z * [new tag] ciflow/rocm/158219 -> ciflow/rocm/158219 2025-08-14T21:26:40.6901452Z * [new tag] ciflow/rocm/158220 -> ciflow/rocm/158220 2025-08-14T21:26:40.6901681Z * [new tag] ciflow/rocm/158224 -> ciflow/rocm/158224 2025-08-14T21:26:40.6901827Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-08-14T21:26:40.6902124Z * [new tag] ciflow/rocm/160215 -> ciflow/rocm/160215 2025-08-14T21:26:40.6902332Z * [new tag] ciflow/rocm/160468 -> ciflow/rocm/160468 2025-08-14T21:26:40.6902523Z * [new tag] ciflow/rocm/160538 -> ciflow/rocm/160538 2025-08-14T21:26:40.6904094Z * [new tag] ciflow/s390/143959 -> ciflow/s390/143959 2025-08-14T21:26:40.6904341Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-08-14T21:26:40.6904437Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-08-14T21:26:40.6904655Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-08-14T21:26:40.6904810Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-08-14T21:26:40.6904903Z * [new tag] ciflow/slow/154595 -> ciflow/slow/154595 2025-08-14T21:26:40.6904998Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-08-14T21:26:40.6905102Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-08-14T21:26:40.6905380Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-08-14T21:26:40.6905676Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-08-14T21:26:40.6905916Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-08-14T21:26:40.6906245Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-08-14T21:26:40.6906481Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-08-14T21:26:40.6906808Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-08-14T21:26:40.6907234Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-08-14T21:26:40.6907433Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-08-14T21:26:40.6907698Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-08-14T21:26:40.6908070Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-08-14T21:26:40.6908669Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-08-14T21:26:40.6908816Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-08-14T21:26:40.6909397Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-08-14T21:26:40.6909730Z * [new tag] ciflow/trunk/131296 -> ciflow/trunk/131296 2025-08-14T21:26:40.6909927Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-08-14T21:26:40.6911483Z * [new tag] ciflow/trunk/138996 -> ciflow/trunk/138996 2025-08-14T21:26:40.6911588Z * [new tag] ciflow/trunk/139971 -> ciflow/trunk/139971 2025-08-14T21:26:40.6911681Z * [new tag] ciflow/trunk/147360 -> ciflow/trunk/147360 2025-08-14T21:26:40.6911779Z * [new tag] ciflow/trunk/147855 -> ciflow/trunk/147855 2025-08-14T21:26:40.6911875Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-08-14T21:26:40.6911981Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-08-14T21:26:40.6912076Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-08-14T21:26:40.6912184Z * [new tag] ciflow/trunk/150282 -> ciflow/trunk/150282 2025-08-14T21:26:40.6912272Z * [new tag] ciflow/trunk/150302 -> ciflow/trunk/150302 2025-08-14T21:26:40.6912378Z * [new tag] ciflow/trunk/151845 -> ciflow/trunk/151845 2025-08-14T21:26:40.6912548Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-08-14T21:26:40.6912809Z * [new tag] ciflow/trunk/154193 -> ciflow/trunk/154193 2025-08-14T21:26:40.6913035Z * [new tag] ciflow/trunk/154595 -> ciflow/trunk/154595 2025-08-14T21:26:40.6913263Z * [new tag] ciflow/trunk/154650 -> ciflow/trunk/154650 2025-08-14T21:26:40.6913562Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-08-14T21:26:40.6913741Z * [new tag] ciflow/trunk/155958 -> ciflow/trunk/155958 2025-08-14T21:26:40.6913904Z * [new tag] ciflow/trunk/156049 -> ciflow/trunk/156049 2025-08-14T21:26:40.6914229Z * [new tag] ciflow/trunk/156703 -> ciflow/trunk/156703 2025-08-14T21:26:40.6914438Z * [new tag] ciflow/trunk/156851 -> ciflow/trunk/156851 2025-08-14T21:26:40.6914689Z * [new tag] ciflow/trunk/157148 -> ciflow/trunk/157148 2025-08-14T21:26:40.6914898Z * [new tag] ciflow/trunk/157152 -> ciflow/trunk/157152 2025-08-14T21:26:40.6915194Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-08-14T21:26:40.6916831Z * [new tag] ciflow/trunk/157685 -> ciflow/trunk/157685 2025-08-14T21:26:40.6916969Z * [new tag] ciflow/trunk/157689 -> ciflow/trunk/157689 2025-08-14T21:26:40.6917046Z * [new tag] ciflow/trunk/157699 -> ciflow/trunk/157699 2025-08-14T21:26:40.6917107Z * [new tag] ciflow/trunk/157813 -> ciflow/trunk/157813 2025-08-14T21:26:40.6917172Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-08-14T21:26:40.6917234Z * [new tag] ciflow/trunk/158091 -> ciflow/trunk/158091 2025-08-14T21:26:40.6917292Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-08-14T21:26:40.6917352Z * [new tag] ciflow/trunk/158219 -> ciflow/trunk/158219 2025-08-14T21:26:40.6917422Z * [new tag] ciflow/trunk/158220 -> ciflow/trunk/158220 2025-08-14T21:26:40.6917488Z * [new tag] ciflow/trunk/158224 -> ciflow/trunk/158224 2025-08-14T21:26:40.6918014Z * [new tag] ciflow/trunk/158529 -> ciflow/trunk/158529 2025-08-14T21:26:40.6918085Z * [new tag] ciflow/trunk/158647 -> ciflow/trunk/158647 2025-08-14T21:26:40.6918315Z * [new tag] ciflow/trunk/158810 -> ciflow/trunk/158810 2025-08-14T21:26:40.6918560Z * [new tag] ciflow/trunk/158812 -> ciflow/trunk/158812 2025-08-14T21:26:40.6918813Z * [new tag] ciflow/trunk/158863 -> ciflow/trunk/158863 2025-08-14T21:26:40.6919122Z * [new tag] ciflow/trunk/158864 -> ciflow/trunk/158864 2025-08-14T21:26:40.6919343Z * [new tag] ciflow/trunk/158883 -> ciflow/trunk/158883 2025-08-14T21:26:40.6919585Z * [new tag] ciflow/trunk/158914 -> ciflow/trunk/158914 2025-08-14T21:26:40.6919795Z * [new tag] ciflow/trunk/158965 -> ciflow/trunk/158965 2025-08-14T21:26:40.6920010Z * [new tag] ciflow/trunk/158987 -> ciflow/trunk/158987 2025-08-14T21:26:40.6920302Z * [new tag] ciflow/trunk/159033 -> ciflow/trunk/159033 2025-08-14T21:26:40.6920574Z * [new tag] ciflow/trunk/159140 -> ciflow/trunk/159140 2025-08-14T21:26:40.6920806Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-08-14T21:26:40.6922455Z * [new tag] ciflow/trunk/159553 -> ciflow/trunk/159553 2025-08-14T21:26:40.6922573Z * [new tag] ciflow/trunk/159562 -> ciflow/trunk/159562 2025-08-14T21:26:40.6922675Z * [new tag] ciflow/trunk/159682 -> ciflow/trunk/159682 2025-08-14T21:26:40.6922767Z * [new tag] ciflow/trunk/159691 -> ciflow/trunk/159691 2025-08-14T21:26:40.6922863Z * [new tag] ciflow/trunk/159842 -> ciflow/trunk/159842 2025-08-14T21:26:40.6922954Z * [new tag] ciflow/trunk/159889 -> ciflow/trunk/159889 2025-08-14T21:26:40.6923027Z * [new tag] ciflow/trunk/159923 -> ciflow/trunk/159923 2025-08-14T21:26:40.6923199Z * [new tag] ciflow/trunk/160004 -> ciflow/trunk/160004 2025-08-14T21:26:40.6923258Z * [new tag] ciflow/trunk/160113 -> ciflow/trunk/160113 2025-08-14T21:26:40.6923533Z * [new tag] ciflow/trunk/160161 -> ciflow/trunk/160161 2025-08-14T21:26:40.6923728Z * [new tag] ciflow/trunk/160168 -> ciflow/trunk/160168 2025-08-14T21:26:40.6923901Z * [new tag] ciflow/trunk/160181 -> ciflow/trunk/160181 2025-08-14T21:26:40.6924193Z * [new tag] ciflow/trunk/160183 -> ciflow/trunk/160183 2025-08-14T21:26:40.6924423Z * [new tag] ciflow/trunk/160190 -> ciflow/trunk/160190 2025-08-14T21:26:40.6924662Z * [new tag] ciflow/trunk/160198 -> ciflow/trunk/160198 2025-08-14T21:26:40.6924905Z * [new tag] ciflow/trunk/160205 -> ciflow/trunk/160205 2025-08-14T21:26:40.6925159Z * [new tag] ciflow/trunk/160219 -> ciflow/trunk/160219 2025-08-14T21:26:40.6925372Z * [new tag] ciflow/trunk/160224 -> ciflow/trunk/160224 2025-08-14T21:26:40.6925641Z * [new tag] ciflow/trunk/160250 -> ciflow/trunk/160250 2025-08-14T21:26:40.6925885Z * [new tag] ciflow/trunk/160253 -> ciflow/trunk/160253 2025-08-14T21:26:40.6926191Z * [new tag] ciflow/trunk/160335 -> ciflow/trunk/160335 2025-08-14T21:26:40.6926467Z * [new tag] ciflow/trunk/160338 -> ciflow/trunk/160338 2025-08-14T21:26:40.6928250Z * [new tag] ciflow/trunk/160383 -> ciflow/trunk/160383 2025-08-14T21:26:40.6928394Z * [new tag] ciflow/trunk/160401 -> ciflow/trunk/160401 2025-08-14T21:26:40.6928465Z * [new tag] ciflow/trunk/160403 -> ciflow/trunk/160403 2025-08-14T21:26:40.6928546Z * [new tag] ciflow/trunk/160430 -> ciflow/trunk/160430 2025-08-14T21:26:40.6928612Z * [new tag] ciflow/trunk/160431 -> ciflow/trunk/160431 2025-08-14T21:26:40.6928671Z * [new tag] ciflow/trunk/160439 -> ciflow/trunk/160439 2025-08-14T21:26:40.6928743Z * [new tag] ciflow/trunk/160449 -> ciflow/trunk/160449 2025-08-14T21:26:40.6928810Z * [new tag] ciflow/trunk/160454 -> ciflow/trunk/160454 2025-08-14T21:26:40.6929070Z * [new tag] ciflow/trunk/160468 -> ciflow/trunk/160468 2025-08-14T21:26:40.6929220Z * [new tag] ciflow/trunk/160481 -> ciflow/trunk/160481 2025-08-14T21:26:40.6929532Z * [new tag] ciflow/trunk/160485 -> ciflow/trunk/160485 2025-08-14T21:26:40.6929795Z * [new tag] ciflow/trunk/160519 -> ciflow/trunk/160519 2025-08-14T21:26:40.6930009Z * [new tag] ciflow/trunk/160527 -> ciflow/trunk/160527 2025-08-14T21:26:40.6930363Z * [new tag] ciflow/trunk/160560 -> ciflow/trunk/160560 2025-08-14T21:26:40.6930582Z * [new tag] ciflow/trunk/160578 -> ciflow/trunk/160578 2025-08-14T21:26:40.6930848Z * [new tag] ciflow/trunk/160589 -> ciflow/trunk/160589 2025-08-14T21:26:40.6931093Z * [new tag] ciflow/trunk/160592 -> ciflow/trunk/160592 2025-08-14T21:26:40.6931367Z * [new tag] ciflow/trunk/160649 -> ciflow/trunk/160649 2025-08-14T21:26:40.6931608Z * [new tag] ciflow/trunk/160656 -> ciflow/trunk/160656 2025-08-14T21:26:40.6932179Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-08-14T21:26:40.6932383Z * [new tag] ciflow/vllm/160116 -> ciflow/vllm/160116 2025-08-14T21:26:40.6932607Z * [new tag] ciflow/vllm/160583 -> ciflow/vllm/160583 2025-08-14T21:26:40.6934436Z * [new tag] ciflow/vllm/160619 -> ciflow/vllm/160619 2025-08-14T21:26:40.6934600Z * [new tag] ciflow/vllm/160625 -> ciflow/vllm/160625 2025-08-14T21:26:40.6934671Z * [new tag] ciflow/vllm/160627 -> ciflow/vllm/160627 2025-08-14T21:26:40.6934896Z * [new tag] ciflow/win-arm64/156049 -> ciflow/win-arm64/156049 2025-08-14T21:26:40.6934974Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-08-14T21:26:40.6935040Z * [new tag] ciflow/win-arm64/159553 -> ciflow/win-arm64/159553 2025-08-14T21:26:40.6935103Z * [new tag] ciflow/win-arm64/159562 -> ciflow/win-arm64/159562 2025-08-14T21:26:40.6935170Z * [new tag] ciflow/win-arm64/159777 -> ciflow/win-arm64/159777 2025-08-14T21:26:40.6935231Z * [new tag] ciflow/win-arm64/159780 -> ciflow/win-arm64/159780 2025-08-14T21:26:40.6935298Z * [new tag] ciflow/win-arm64/159842 -> ciflow/win-arm64/159842 2025-08-14T21:26:40.6935381Z * [new tag] ciflow/win-arm64/160250 -> ciflow/win-arm64/160250 2025-08-14T21:26:40.6935636Z * [new tag] ciflow/win-arm64/160253 -> ciflow/win-arm64/160253 2025-08-14T21:26:40.6935968Z * [new tag] ciflow/win-arm64/160454 -> ciflow/win-arm64/160454 2025-08-14T21:26:40.6936115Z * [new tag] ciflow/win-arm64/160560 -> ciflow/win-arm64/160560 2025-08-14T21:26:40.6936463Z * [new tag] ciflow/xpu/138996 -> ciflow/xpu/138996 2025-08-14T21:26:40.6936661Z * [new tag] ciflow/xpu/139971 -> ciflow/xpu/139971 2025-08-14T21:26:40.6937011Z * [new tag] ciflow/xpu/140972 -> ciflow/xpu/140972 2025-08-14T21:26:40.6937252Z * [new tag] ciflow/xpu/143553 -> ciflow/xpu/143553 2025-08-14T21:26:40.6937546Z * [new tag] ciflow/xpu/156272 -> ciflow/xpu/156272 2025-08-14T21:26:40.6937812Z * [new tag] ciflow/xpu/156812 -> ciflow/xpu/156812 2025-08-14T21:26:40.6938045Z * [new tag] ciflow/xpu/157699 -> ciflow/xpu/157699 2025-08-14T21:26:40.6938341Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-08-14T21:26:40.6938545Z * [new tag] ciflow/xpu/158336 -> ciflow/xpu/158336 2025-08-14T21:26:40.6940684Z * [new tag] ciflow/xpu/158733 -> ciflow/xpu/158733 2025-08-14T21:26:40.6940817Z * [new tag] ciflow/xpu/159033 -> ciflow/xpu/159033 2025-08-14T21:26:40.6940885Z * [new tag] ciflow/xpu/159118 -> ciflow/xpu/159118 2025-08-14T21:26:40.6940944Z * [new tag] ciflow/xpu/159140 -> ciflow/xpu/159140 2025-08-14T21:26:40.6941004Z * [new tag] ciflow/xpu/159241 -> ciflow/xpu/159241 2025-08-14T21:26:40.6941068Z * [new tag] ciflow/xpu/159473 -> ciflow/xpu/159473 2025-08-14T21:26:40.6941124Z * [new tag] ciflow/xpu/159474 -> ciflow/xpu/159474 2025-08-14T21:26:40.6941178Z * [new tag] ciflow/xpu/159553 -> ciflow/xpu/159553 2025-08-14T21:26:40.6941242Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-08-14T21:26:40.6941442Z * [new tag] ciflow/xpu/160062 -> ciflow/xpu/160062 2025-08-14T21:26:40.6941712Z * [new tag] ciflow/xpu/160067 -> ciflow/xpu/160067 2025-08-14T21:26:40.6941976Z * [new tag] ciflow/xpu/160158 -> ciflow/xpu/160158 2025-08-14T21:26:40.6942268Z * [new tag] ciflow/xpu/160173 -> ciflow/xpu/160173 2025-08-14T21:26:40.6942476Z * [new tag] ciflow/xpu/160183 -> ciflow/xpu/160183 2025-08-14T21:26:40.6942713Z * [new tag] ciflow/xpu/160301 -> ciflow/xpu/160301 2025-08-14T21:26:40.6942975Z * [new tag] ciflow/xpu/160403 -> ciflow/xpu/160403 2025-08-14T21:26:40.6943237Z * [new tag] ciflow/xpu/160606 -> ciflow/xpu/160606 2025-08-14T21:26:40.6943554Z * [new tag] cslpull75 -> cslpull75 2025-08-14T21:26:40.6943849Z * [new tag] cslpull76 -> cslpull76 2025-08-14T21:26:40.6944053Z * [new tag] cslpull77 -> cslpull77 2025-08-14T21:26:40.6944366Z * [new tag] cslpull78 -> cslpull78 2025-08-14T21:26:40.6944591Z * [new tag] cslpull79 -> cslpull79 2025-08-14T21:26:40.6944909Z * [new tag] cslpull80 -> cslpull80 2025-08-14T21:26:40.6946625Z * [new tag] cslpull81 -> cslpull81 2025-08-14T21:26:40.6946744Z * [new tag] cslpull82 -> cslpull82 2025-08-14T21:26:40.6946817Z * [new tag] cslpull83 -> cslpull83 2025-08-14T21:26:40.6946870Z * [new tag] cslpull84 -> cslpull84 2025-08-14T21:26:40.6946928Z * [new tag] cslpull85 -> cslpull85 2025-08-14T21:26:40.6946987Z * [new tag] cslpull86 -> cslpull86 2025-08-14T21:26:40.6947038Z * [new tag] cslpull87 -> cslpull87 2025-08-14T21:26:40.6947183Z * [new tag] cslpull88 -> cslpull88 2025-08-14T21:26:40.6947400Z * [new tag] cslpull89 -> cslpull89 2025-08-14T21:26:40.6947600Z * [new tag] cslpull90 -> cslpull90 2025-08-14T21:26:40.6948325Z * [new tag] cslpull91 -> cslpull91 2025-08-14T21:26:40.6948404Z * [new tag] cslpull92 -> cslpull92 2025-08-14T21:26:40.6948752Z * [new tag] flight_5 -> flight_5 2025-08-14T21:26:40.6949110Z * [new tag] flight_5.1 -> flight_5.1 2025-08-14T21:26:40.6949350Z * [new tag] flight_5.2 -> flight_5.2 2025-08-14T21:26:40.6949592Z * [new tag] flight_5.3 -> flight_5.3 2025-08-14T21:26:40.6949901Z * [new tag] forpull1 -> forpull1 2025-08-14T21:26:40.6950454Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-08-14T21:26:40.6950632Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-08-14T21:26:40.6950858Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-08-14T21:26:40.6951150Z * [new tag] nightly-binary -> nightly-binary 2025-08-14T21:26:40.6951383Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-08-14T21:26:40.6951743Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-08-14T21:26:40.6953279Z * [new tag] trunk/01584d2a7d029c9749eb73678cf1dc313cc35df6 -> trunk/01584d2a7d029c9749eb73678cf1dc313cc35df6 2025-08-14T21:26:40.6953424Z * [new tag] trunk/017259f9c65b6fad55fb9597d7077e2543eaae46 -> trunk/017259f9c65b6fad55fb9597d7077e2543eaae46 2025-08-14T21:26:40.6953563Z * [new tag] trunk/01bcf9a40dea937637d2cdd530bed2652510943d -> trunk/01bcf9a40dea937637d2cdd530bed2652510943d 2025-08-14T21:26:40.6953699Z * [new tag] trunk/01f66d08d93365015f4af005a252f439c4d4013a -> trunk/01f66d08d93365015f4af005a252f439c4d4013a 2025-08-14T21:26:40.6953828Z * [new tag] trunk/03b254e49f2d4c092e6ca712e5702cf2895aa47e -> trunk/03b254e49f2d4c092e6ca712e5702cf2895aa47e 2025-08-14T21:26:40.6953957Z * [new tag] trunk/05029ad1c30865d3f7e7fd13384db9d826e563eb -> trunk/05029ad1c30865d3f7e7fd13384db9d826e563eb 2025-08-14T21:26:40.6954159Z * [new tag] trunk/05c19d1acecc01b0d2512364183058a6885b9869 -> trunk/05c19d1acecc01b0d2512364183058a6885b9869 2025-08-14T21:26:40.6954286Z * [new tag] trunk/05c417715f791875fbf28cfc3fc86142de1a3206 -> trunk/05c417715f791875fbf28cfc3fc86142de1a3206 2025-08-14T21:26:40.6954576Z * [new tag] trunk/06824f3c7268bb807a422b663047cd0900ddd126 -> trunk/06824f3c7268bb807a422b663047cd0900ddd126 2025-08-14T21:26:40.6954822Z * [new tag] trunk/077cb389746a7d61cfc018aad2ba29a8aa195610 -> trunk/077cb389746a7d61cfc018aad2ba29a8aa195610 2025-08-14T21:26:40.6955132Z * [new tag] trunk/089c4a1ba007ed4abb3e5e0eafd97b7584566057 -> trunk/089c4a1ba007ed4abb3e5e0eafd97b7584566057 2025-08-14T21:26:40.6955460Z * [new tag] trunk/09381f5dacda7bbbfa361f5df76bde5cd309adc1 -> trunk/09381f5dacda7bbbfa361f5df76bde5cd309adc1 2025-08-14T21:26:40.6955716Z * [new tag] trunk/0bd3af4fb87445f4de3a1f9b823e399c8b3cefde -> trunk/0bd3af4fb87445f4de3a1f9b823e399c8b3cefde 2025-08-14T21:26:40.6955978Z * [new tag] trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4 -> trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4 2025-08-14T21:26:40.6956269Z * [new tag] trunk/0d40ff3b496e68193bc16d5391fa2e3623709f81 -> trunk/0d40ff3b496e68193bc16d5391fa2e3623709f81 2025-08-14T21:26:40.6956567Z * [new tag] trunk/0d71ca2c46753bb268bfdcf815c14415c122a289 -> trunk/0d71ca2c46753bb268bfdcf815c14415c122a289 2025-08-14T21:26:40.6956869Z * [new tag] trunk/0d88593dd826544c9e7bd4aa615ef86847a78d2b -> trunk/0d88593dd826544c9e7bd4aa615ef86847a78d2b 2025-08-14T21:26:40.6957147Z * [new tag] trunk/0e3e377bd5126cfcc69d70c4d77b352d3404cc11 -> trunk/0e3e377bd5126cfcc69d70c4d77b352d3404cc11 2025-08-14T21:26:40.6957463Z * [new tag] trunk/0f3b10b8eebe68e3c75d473d499b87dfe14a2eca -> trunk/0f3b10b8eebe68e3c75d473d499b87dfe14a2eca 2025-08-14T21:26:40.6957829Z * [new tag] trunk/101276f81b4d2a8c31bfd6796b986d4c1bfdf483 -> trunk/101276f81b4d2a8c31bfd6796b986d4c1bfdf483 2025-08-14T21:26:40.6958204Z * [new tag] trunk/1028c5e2d50e121865bf98307e7c035f549a24b2 -> trunk/1028c5e2d50e121865bf98307e7c035f549a24b2 2025-08-14T21:26:40.6958555Z * [new tag] trunk/10bc36fe840cb3510fab84d2ea22663b76702f1e -> trunk/10bc36fe840cb3510fab84d2ea22663b76702f1e 2025-08-14T21:26:40.6960020Z * [new tag] trunk/10e3514c962b58cbbee994257872a626ff76d51b -> trunk/10e3514c962b58cbbee994257872a626ff76d51b 2025-08-14T21:26:40.6960424Z * [new tag] trunk/1128f4c2a822cbe34a9d966306af15097179ffe1 -> trunk/1128f4c2a822cbe34a9d966306af15097179ffe1 2025-08-14T21:26:40.6960562Z * [new tag] trunk/114a6c40434bfb9cfa5abc30e9e34d81300d743e -> trunk/114a6c40434bfb9cfa5abc30e9e34d81300d743e 2025-08-14T21:26:40.6960695Z * [new tag] trunk/118bc97b14c24ac88a4b0c0750a9e7bf93154c76 -> trunk/118bc97b14c24ac88a4b0c0750a9e7bf93154c76 2025-08-14T21:26:40.6960841Z * [new tag] trunk/1196bb1c2e4d5a7edc09f2260e3034132f0c6c91 -> trunk/1196bb1c2e4d5a7edc09f2260e3034132f0c6c91 2025-08-14T21:26:40.6960971Z * [new tag] trunk/11a3565f1872bbad9c253a127e8d4ce7a1b40ec8 -> trunk/11a3565f1872bbad9c253a127e8d4ce7a1b40ec8 2025-08-14T21:26:40.6961104Z * [new tag] trunk/15e49f61643e4c0eef420f0981609709ef55b848 -> trunk/15e49f61643e4c0eef420f0981609709ef55b848 2025-08-14T21:26:40.6961239Z * [new tag] trunk/16d15445f8bd8740095b23de4af89d757af793ca -> trunk/16d15445f8bd8740095b23de4af89d757af793ca 2025-08-14T21:26:40.6961570Z * [new tag] trunk/178515d0ff6833c8e9221482b2a650ab31e00019 -> trunk/178515d0ff6833c8e9221482b2a650ab31e00019 2025-08-14T21:26:40.6961811Z * [new tag] trunk/182efe31dbe43376e7eef7338356aaf94d5bcabe -> trunk/182efe31dbe43376e7eef7338356aaf94d5bcabe 2025-08-14T21:26:40.6962084Z * [new tag] trunk/194fcfcfbdad0add1a1b695321e31a576058f4cf -> trunk/194fcfcfbdad0add1a1b695321e31a576058f4cf 2025-08-14T21:26:40.6962439Z * [new tag] trunk/195b5c2e27eb8f21cbc8ad1e90f42db5a8cfccca -> trunk/195b5c2e27eb8f21cbc8ad1e90f42db5a8cfccca 2025-08-14T21:26:40.6962823Z * [new tag] trunk/198b5fd2d47fa3d5110ceba6827a3b18e0064014 -> trunk/198b5fd2d47fa3d5110ceba6827a3b18e0064014 2025-08-14T21:26:40.6963044Z * [new tag] trunk/199e9abb6a366bbd27c39d1da7c3123b4eea9b5a -> trunk/199e9abb6a366bbd27c39d1da7c3123b4eea9b5a 2025-08-14T21:26:40.6963306Z * [new tag] trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7 -> trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7 2025-08-14T21:26:40.6963715Z * [new tag] trunk/1c2587119152cec3905647a47c65d3d26619c5a8 -> trunk/1c2587119152cec3905647a47c65d3d26619c5a8 2025-08-14T21:26:40.6963994Z * [new tag] trunk/1c26c53851c212a7c90a325549a72f0571613a8c -> trunk/1c26c53851c212a7c90a325549a72f0571613a8c 2025-08-14T21:26:40.6964292Z * [new tag] trunk/1c2cba17eab2b09d87142883da2bdbdbcf018613 -> trunk/1c2cba17eab2b09d87142883da2bdbdbcf018613 2025-08-14T21:26:40.6964630Z * [new tag] trunk/1d80d697a269234b47ec7ede192faf3bb9b159e3 -> trunk/1d80d697a269234b47ec7ede192faf3bb9b159e3 2025-08-14T21:26:40.6964915Z * [new tag] trunk/1ea688f9a2602fbcde32c0302b822526ca4219dc -> trunk/1ea688f9a2602fbcde32c0302b822526ca4219dc 2025-08-14T21:26:40.6965289Z * [new tag] trunk/1f4057c11ac941fb324386ca594d0a6882185aad -> trunk/1f4057c11ac941fb324386ca594d0a6882185aad 2025-08-14T21:26:40.6967117Z * [new tag] trunk/1fc683cf17c8c673044538d10266c00f92987be2 -> trunk/1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:26:40.6967376Z * [new tag] trunk/1febab2a89302464f6c7d69cfbef7a24c421ea65 -> trunk/1febab2a89302464f6c7d69cfbef7a24c421ea65 2025-08-14T21:26:40.6967592Z * [new tag] trunk/206c1eef6571f906c2792d899a09136b3fce9673 -> trunk/206c1eef6571f906c2792d899a09136b3fce9673 2025-08-14T21:26:40.6967804Z * [new tag] trunk/20bdabbb3c5d6b118a94b2e045c777662563d5bb -> trunk/20bdabbb3c5d6b118a94b2e045c777662563d5bb 2025-08-14T21:26:40.6968087Z * [new tag] trunk/21392c0e06ac2b2621950455975ca6332f0bf641 -> trunk/21392c0e06ac2b2621950455975ca6332f0bf641 2025-08-14T21:26:40.6968296Z * [new tag] trunk/2247aa6d1d43e256255f5c74a781c3190a4387b6 -> trunk/2247aa6d1d43e256255f5c74a781c3190a4387b6 2025-08-14T21:26:40.6968503Z * [new tag] trunk/2259dbed4e0d3f2a8174b5847fd0741aed42451d -> trunk/2259dbed4e0d3f2a8174b5847fd0741aed42451d 2025-08-14T21:26:40.6968702Z * [new tag] trunk/231c72240d80091f099c95e326d3600cba866eee -> trunk/231c72240d80091f099c95e326d3600cba866eee 2025-08-14T21:26:40.6968912Z * [new tag] trunk/24257f5bfaa37795f74d9f64c1b43584128d4b8c -> trunk/24257f5bfaa37795f74d9f64c1b43584128d4b8c 2025-08-14T21:26:40.6969120Z * [new tag] trunk/24f43d0da7ad9c6e95a09a2fee610387728cc1cd -> trunk/24f43d0da7ad9c6e95a09a2fee610387728cc1cd 2025-08-14T21:26:40.6969330Z * [new tag] trunk/2898d3f965e5cd9d02fc2ecdab7c580fd457fea9 -> trunk/2898d3f965e5cd9d02fc2ecdab7c580fd457fea9 2025-08-14T21:26:40.6969541Z * [new tag] trunk/28ccc9e7247798980fe00a11bcd64a8016b5f227 -> trunk/28ccc9e7247798980fe00a11bcd64a8016b5f227 2025-08-14T21:26:40.6969745Z * [new tag] trunk/29712314dd5cf500a8ea3d1c69483a3cb768ca72 -> trunk/29712314dd5cf500a8ea3d1c69483a3cb768ca72 2025-08-14T21:26:40.6969960Z * [new tag] trunk/29d20d49f0b7f4e362e1cefdcdc4b5659969312c -> trunk/29d20d49f0b7f4e362e1cefdcdc4b5659969312c 2025-08-14T21:26:40.6970171Z * [new tag] trunk/2c5e10a5fceb208b11c3d569ae02e348b5893b31 -> trunk/2c5e10a5fceb208b11c3d569ae02e348b5893b31 2025-08-14T21:26:40.6970396Z * [new tag] trunk/2d0cdee394bccadcd0abe19dd4623ed978a331ad -> trunk/2d0cdee394bccadcd0abe19dd4623ed978a331ad 2025-08-14T21:26:40.6970708Z * [new tag] trunk/2e4e5ab4be9e0aeffd9c49b5b2f9f820bd0895b1 -> trunk/2e4e5ab4be9e0aeffd9c49b5b2f9f820bd0895b1 2025-08-14T21:26:40.6970923Z * [new tag] trunk/2ea40fba841b3af8103f332ba62e54f350ba9a51 -> trunk/2ea40fba841b3af8103f332ba62e54f350ba9a51 2025-08-14T21:26:40.6971198Z * [new tag] trunk/2ee22e435131369a7e4f8cc4732579acc29a941b -> trunk/2ee22e435131369a7e4f8cc4732579acc29a941b 2025-08-14T21:26:40.6971441Z * [new tag] trunk/2f4c2226175512af787725c4d5ad7313c60d4db1 -> trunk/2f4c2226175512af787725c4d5ad7313c60d4db1 2025-08-14T21:26:40.6971697Z * [new tag] trunk/3008d985a8fc155eb89374afff50cb33a6bd10d5 -> trunk/3008d985a8fc155eb89374afff50cb33a6bd10d5 2025-08-14T21:26:40.6971993Z * [new tag] trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2 -> trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2 2025-08-14T21:26:40.6972327Z * [new tag] trunk/303c614f3df95ae2b659c5f6c1838b14e4776ce6 -> trunk/303c614f3df95ae2b659c5f6c1838b14e4776ce6 2025-08-14T21:26:40.6974225Z * [new tag] trunk/305fa2239365ad17ac9c534a68bba8a149c42d67 -> trunk/305fa2239365ad17ac9c534a68bba8a149c42d67 2025-08-14T21:26:40.6974502Z * [new tag] trunk/31c9ac4319c0cc2ed8c6be701c6ccf73f6cb4706 -> trunk/31c9ac4319c0cc2ed8c6be701c6ccf73f6cb4706 2025-08-14T21:26:40.6974715Z * [new tag] trunk/32099961d588fc19ead8afe805d6b5108de75669 -> trunk/32099961d588fc19ead8afe805d6b5108de75669 2025-08-14T21:26:40.6974924Z * [new tag] trunk/32e5e2f596d55bb9441d5d53f3c58bcb55828047 -> trunk/32e5e2f596d55bb9441d5d53f3c58bcb55828047 2025-08-14T21:26:40.6975125Z * [new tag] trunk/334b38ccc4427b1d14981c48a3a0b92180d58225 -> trunk/334b38ccc4427b1d14981c48a3a0b92180d58225 2025-08-14T21:26:40.6975335Z * [new tag] trunk/334ecbd4ffe11858cae7d23d1190ddb4777c2513 -> trunk/334ecbd4ffe11858cae7d23d1190ddb4777c2513 2025-08-14T21:26:40.6975594Z * [new tag] trunk/33d94018668951611b318b7515ae96f04e48eac0 -> trunk/33d94018668951611b318b7515ae96f04e48eac0 2025-08-14T21:26:40.6975806Z * [new tag] trunk/34358f335d95213d96b6cca6a83e7bf3af6a9fcb -> trunk/34358f335d95213d96b6cca6a83e7bf3af6a9fcb 2025-08-14T21:26:40.6976016Z * [new tag] trunk/34ec5ed275f8aa875c80daa97b3e82af0b06f673 -> trunk/34ec5ed275f8aa875c80daa97b3e82af0b06f673 2025-08-14T21:26:40.6976217Z * [new tag] trunk/355462e1278d818deb9ef4a184073d5b66074816 -> trunk/355462e1278d818deb9ef4a184073d5b66074816 2025-08-14T21:26:40.6978183Z * [new tag] trunk/3626ba711b34397d1fbf0a9b1979f85cbf68b919 -> trunk/3626ba711b34397d1fbf0a9b1979f85cbf68b919 2025-08-14T21:26:40.6978397Z * [new tag] trunk/36f46d082a4954921cb8493223f000f2aab79ed7 -> trunk/36f46d082a4954921cb8493223f000f2aab79ed7 2025-08-14T21:26:40.6978667Z * [new tag] trunk/39aa3d1471549b7829c207d634dfdc1d26e346a2 -> trunk/39aa3d1471549b7829c207d634dfdc1d26e346a2 2025-08-14T21:26:40.6978976Z * [new tag] trunk/3a562374401113187ce2566b87e3f1d87d7c53aa -> trunk/3a562374401113187ce2566b87e3f1d87d7c53aa 2025-08-14T21:26:40.6979260Z * [new tag] trunk/3ac86e728dfaa7383ff7f865e9e7d33486188dae -> trunk/3ac86e728dfaa7383ff7f865e9e7d33486188dae 2025-08-14T21:26:40.6979495Z * [new tag] trunk/3be70dc30e893b552fc0f23ca06cd8f7949b6d08 -> trunk/3be70dc30e893b552fc0f23ca06cd8f7949b6d08 2025-08-14T21:26:40.6979811Z * [new tag] trunk/3cec82a7e9aea040a34dd7a2587ae6d3bd65dba0 -> trunk/3cec82a7e9aea040a34dd7a2587ae6d3bd65dba0 2025-08-14T21:26:40.6980340Z * [new tag] trunk/3cf7b4024ef83e44e9ae223dbff7c7ab68240cb2 -> trunk/3cf7b4024ef83e44e9ae223dbff7c7ab68240cb2 2025-08-14T21:26:40.6980652Z * [new tag] trunk/3ef2e1ef769582a82c6ddf150e9d11bf4bf1c44f -> trunk/3ef2e1ef769582a82c6ddf150e9d11bf4bf1c44f 2025-08-14T21:26:40.6980972Z * [new tag] trunk/3f1636ebef9b45e8a3cb0eb20d327ee6acb74be0 -> trunk/3f1636ebef9b45e8a3cb0eb20d327ee6acb74be0 2025-08-14T21:26:40.6981289Z * [new tag] trunk/3faee0a6318afcbbbb48687009a459214910d820 -> trunk/3faee0a6318afcbbbb48687009a459214910d820 2025-08-14T21:26:40.6981720Z * [new tag] trunk/3fcd79e023da7156ac584992ebab29205d3b7881 -> trunk/3fcd79e023da7156ac584992ebab29205d3b7881 2025-08-14T21:26:40.6983501Z * [new tag] trunk/3fe19a7a0af3f4d692af30476c320be18c7e8ae6 -> trunk/3fe19a7a0af3f4d692af30476c320be18c7e8ae6 2025-08-14T21:26:40.6983797Z * [new tag] trunk/41673110cd7c5960824cc74a6fcaeda1a8bc7a23 -> trunk/41673110cd7c5960824cc74a6fcaeda1a8bc7a23 2025-08-14T21:26:40.6984010Z * [new tag] trunk/4183d4ff3dcc1d87400326a9a7998c3f9e966f60 -> trunk/4183d4ff3dcc1d87400326a9a7998c3f9e966f60 2025-08-14T21:26:40.6984218Z * [new tag] trunk/422bd6808bb98cbbac31d157d9c82ad11ba9732d -> trunk/422bd6808bb98cbbac31d157d9c82ad11ba9732d 2025-08-14T21:26:40.6984429Z * [new tag] trunk/42e51cd4b3973a053fcfa80878a3f346fd158e9f -> trunk/42e51cd4b3973a053fcfa80878a3f346fd158e9f 2025-08-14T21:26:40.6984628Z * [new tag] trunk/4416433c7c625127b7f975c92f8ec98ea4c67fd3 -> trunk/4416433c7c625127b7f975c92f8ec98ea4c67fd3 2025-08-14T21:26:40.6984988Z * [new tag] trunk/45ba7ecda876685b083cbbe932450560c566826b -> trunk/45ba7ecda876685b083cbbe932450560c566826b 2025-08-14T21:26:40.6985210Z * [new tag] trunk/47a1db823dfcdacdb99f317428fc3791a18c5812 -> trunk/47a1db823dfcdacdb99f317428fc3791a18c5812 2025-08-14T21:26:40.6985416Z * [new tag] trunk/4a773e1e867f28a8ff0b15203e5cd9548f74fcee -> trunk/4a773e1e867f28a8ff0b15203e5cd9548f74fcee 2025-08-14T21:26:40.6985635Z * [new tag] trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3 -> trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3 2025-08-14T21:26:40.6985849Z * [new tag] trunk/4cde0acc0e4e795e1a12cbdd9b93c8c04c1fa05d -> trunk/4cde0acc0e4e795e1a12cbdd9b93c8c04c1fa05d 2025-08-14T21:26:40.6986262Z * [new tag] trunk/4d419a74610c32b1372f8802dcc61893740a23cf -> trunk/4d419a74610c32b1372f8802dcc61893740a23cf 2025-08-14T21:26:40.6986481Z * [new tag] trunk/4d5b3f2d5af7c8e4f41da4ffca53fafe8bb86235 -> trunk/4d5b3f2d5af7c8e4f41da4ffca53fafe8bb86235 2025-08-14T21:26:40.6986703Z * [new tag] trunk/4e2ddb5db67617f9f5309c8bba0c17adc84cadbc -> trunk/4e2ddb5db67617f9f5309c8bba0c17adc84cadbc 2025-08-14T21:26:40.6987043Z * [new tag] trunk/50a8c118754a6c5a46968f5c8e215ccba6831d42 -> trunk/50a8c118754a6c5a46968f5c8e215ccba6831d42 2025-08-14T21:26:40.6987263Z * [new tag] trunk/50f23ff6f883db5021dd6bab4c146434f98dd15d -> trunk/50f23ff6f883db5021dd6bab4c146434f98dd15d 2025-08-14T21:26:40.6987533Z * [new tag] trunk/515cb70367e84fcbad23fcc5b39eb1d7706df2aa -> trunk/515cb70367e84fcbad23fcc5b39eb1d7706df2aa 2025-08-14T21:26:40.6988007Z * [new tag] trunk/53e39494958b7e2278cc8176f63636e812e8945f -> trunk/53e39494958b7e2278cc8176f63636e812e8945f 2025-08-14T21:26:40.6988228Z * [new tag] trunk/556e2a73f4f0643f7c2aeb5c7dddda43388a40ce -> trunk/556e2a73f4f0643f7c2aeb5c7dddda43388a40ce 2025-08-14T21:26:40.6988750Z * [new tag] trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919 -> trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919 2025-08-14T21:26:40.6988967Z * [new tag] trunk/566c6d52ef1411c8262d7b9cf85e2044fdfbe1a3 -> trunk/566c6d52ef1411c8262d7b9cf85e2044fdfbe1a3 2025-08-14T21:26:40.6989236Z * [new tag] trunk/56c828bef93eada0e18d2cc013207831ca80cc99 -> trunk/56c828bef93eada0e18d2cc013207831ca80cc99 2025-08-14T21:26:40.6991369Z * [new tag] trunk/5737372862253a0ac0292407a5844796f02380ad -> trunk/5737372862253a0ac0292407a5844796f02380ad 2025-08-14T21:26:40.6991658Z * [new tag] trunk/57f738b6357cc8fcdde479a0948e723809a1a44d -> trunk/57f738b6357cc8fcdde479a0948e723809a1a44d 2025-08-14T21:26:40.6991973Z * [new tag] trunk/5a40c5784482255b9baf14086cc4b9349fc6d512 -> trunk/5a40c5784482255b9baf14086cc4b9349fc6d512 2025-08-14T21:26:40.6992186Z * [new tag] trunk/5a9c4cfce42b9eb87da0de40c5633f083115c307 -> trunk/5a9c4cfce42b9eb87da0de40c5633f083115c307 2025-08-14T21:26:40.6992465Z * [new tag] trunk/5ace061254af71aa83d1baae81aa1864c9746add -> trunk/5ace061254af71aa83d1baae81aa1864c9746add 2025-08-14T21:26:40.6992682Z * [new tag] trunk/5dddcd5b07c6644efca8d613f4eca1dc95daa87f -> trunk/5dddcd5b07c6644efca8d613f4eca1dc95daa87f 2025-08-14T21:26:40.6992890Z * [new tag] trunk/5ed4f9177907fe403ec4c4499d0d0e9be6b68fcf -> trunk/5ed4f9177907fe403ec4c4499d0d0e9be6b68fcf 2025-08-14T21:26:40.6993098Z * [new tag] trunk/5f1010fbb3850d99c8fdf9a9de2f79260cdc586a -> trunk/5f1010fbb3850d99c8fdf9a9de2f79260cdc586a 2025-08-14T21:26:40.6993309Z * [new tag] trunk/5f5f508aa836a46dfe88857fb223049616b94e93 -> trunk/5f5f508aa836a46dfe88857fb223049616b94e93 2025-08-14T21:26:40.6993518Z * [new tag] trunk/62bac0798100e0e06a86b7a4cee1788413e3d0ca -> trunk/62bac0798100e0e06a86b7a4cee1788413e3d0ca 2025-08-14T21:26:40.6993730Z * [new tag] trunk/63654ba4c5178fd12220cfc9d1c878af2fdd07cc -> trunk/63654ba4c5178fd12220cfc9d1c878af2fdd07cc 2025-08-14T21:26:40.6993933Z * [new tag] trunk/639778b3ee3b80e0894367fdc4442b58ae1b3a62 -> trunk/639778b3ee3b80e0894367fdc4442b58ae1b3a62 2025-08-14T21:26:40.6994135Z * [new tag] trunk/641ee7478150f26969968f49d8b358e199679a8a -> trunk/641ee7478150f26969968f49d8b358e199679a8a 2025-08-14T21:26:40.6994339Z * [new tag] trunk/65053c03a3d209060cb239d20a229dac37cf9dd1 -> trunk/65053c03a3d209060cb239d20a229dac37cf9dd1 2025-08-14T21:26:40.6994547Z * [new tag] trunk/652a6f5954d039d61dc6e6575ccf89d385d74537 -> trunk/652a6f5954d039d61dc6e6575ccf89d385d74537 2025-08-14T21:26:40.6994765Z * [new tag] trunk/685f15dbea66e8ffa8564752f81ad2f6cb447a14 -> trunk/685f15dbea66e8ffa8564752f81ad2f6cb447a14 2025-08-14T21:26:40.6994981Z * [new tag] trunk/68a4b4b2e336cfd4451ce6546d900568e5ddf96c -> trunk/68a4b4b2e336cfd4451ce6546d900568e5ddf96c 2025-08-14T21:26:40.6995219Z * [new tag] trunk/69a0a9aa7f5e320a02e97fa789d2f72baff1554f -> trunk/69a0a9aa7f5e320a02e97fa789d2f72baff1554f 2025-08-14T21:26:40.6995582Z * [new tag] trunk/6be6d06295c870c77a6eb69f96b3170d983520d5 -> trunk/6be6d06295c870c77a6eb69f96b3170d983520d5 2025-08-14T21:26:40.6995921Z * [new tag] trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49 -> trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49 2025-08-14T21:26:40.6996277Z * [new tag] trunk/6da11d9aafc0d84dc7f66030c181608ff2614f66 -> trunk/6da11d9aafc0d84dc7f66030c181608ff2614f66 2025-08-14T21:26:40.6996613Z * [new tag] trunk/6e8865fbc161270e2ffc52817e6c667df417a3f7 -> trunk/6e8865fbc161270e2ffc52817e6c667df417a3f7 2025-08-14T21:26:40.6996969Z * [new tag] trunk/6ea8376f84232048d6be0f7b2edf82aec1b61d58 -> trunk/6ea8376f84232048d6be0f7b2edf82aec1b61d58 2025-08-14T21:26:40.6999064Z * [new tag] trunk/6ee175195ac7853734d64704171993cc6265eb38 -> trunk/6ee175195ac7853734d64704171993cc6265eb38 2025-08-14T21:26:40.6999377Z * [new tag] trunk/6f0f4e0c3eacd479864319127915f869f64e1935 -> trunk/6f0f4e0c3eacd479864319127915f869f64e1935 2025-08-14T21:26:40.6999586Z * [new tag] trunk/70ccdec44b89e355a2cb03ba14a634284f7750f8 -> trunk/70ccdec44b89e355a2cb03ba14a634284f7750f8 2025-08-14T21:26:40.6999798Z * [new tag] trunk/72009ec6bebca7714f99c18449183787f202af4d -> trunk/72009ec6bebca7714f99c18449183787f202af4d 2025-08-14T21:26:40.7000000Z * [new tag] trunk/731ee31f7b6ba19307daab323f6196172b71aaf8 -> trunk/731ee31f7b6ba19307daab323f6196172b71aaf8 2025-08-14T21:26:40.7000292Z * [new tag] trunk/76a0609b6bddb2bc40f1eb4ade12885023653d59 -> trunk/76a0609b6bddb2bc40f1eb4ade12885023653d59 2025-08-14T21:26:40.7000494Z * [new tag] trunk/781e9a7724c47496e3d38a81e6dd6194cf098c41 -> trunk/781e9a7724c47496e3d38a81e6dd6194cf098c41 2025-08-14T21:26:40.7000766Z * [new tag] trunk/78a2fe1d42edeaa2ef7020b0fa0ac82ee4a640e4 -> trunk/78a2fe1d42edeaa2ef7020b0fa0ac82ee4a640e4 2025-08-14T21:26:40.7000985Z * [new tag] trunk/7a974a88f2c529a614baeabe4debd00fc8a3b299 -> trunk/7a974a88f2c529a614baeabe4debd00fc8a3b299 2025-08-14T21:26:40.7001190Z * [new tag] trunk/7ae0629d64b404e0ef5d9c931433ad25e65d6114 -> trunk/7ae0629d64b404e0ef5d9c931433ad25e65d6114 2025-08-14T21:26:40.7001400Z * [new tag] trunk/7d2ec704e47f4b740cdecda5534b305e8e1875ef -> trunk/7d2ec704e47f4b740cdecda5534b305e8e1875ef 2025-08-14T21:26:40.7001613Z * [new tag] trunk/7d87e358ac8440f666fabbfd99058bb5342be6ac -> trunk/7d87e358ac8440f666fabbfd99058bb5342be6ac 2025-08-14T21:26:40.7001813Z * [new tag] trunk/7e27347fd353928c99620495c8c531a5eba7d56b -> trunk/7e27347fd353928c99620495c8c531a5eba7d56b 2025-08-14T21:26:40.7002769Z * [new tag] trunk/7e91394955721c77645fcdb75a5d47a255d65020 -> trunk/7e91394955721c77645fcdb75a5d47a255d65020 2025-08-14T21:26:40.7002988Z * [new tag] trunk/7f4cb4a3e018a621add2a37a3a2f67b982d51001 -> trunk/7f4cb4a3e018a621add2a37a3a2f67b982d51001 2025-08-14T21:26:40.7003256Z * [new tag] trunk/7fbc22855c17741ae016992803b2e147a13aa22d -> trunk/7fbc22855c17741ae016992803b2e147a13aa22d 2025-08-14T21:26:40.7003626Z * [new tag] trunk/8047421fbb607d70ede13b9cd5a60b7b8bdfe348 -> trunk/8047421fbb607d70ede13b9cd5a60b7b8bdfe348 2025-08-14T21:26:40.7003971Z * [new tag] trunk/8088cfa592504a2897b4c78f8a46fe658ab5c2c2 -> trunk/8088cfa592504a2897b4c78f8a46fe658ab5c2c2 2025-08-14T21:26:40.7004272Z * [new tag] trunk/80cca8307943ba64168208b54028f55b2c71daff -> trunk/80cca8307943ba64168208b54028f55b2c71daff 2025-08-14T21:26:40.7004648Z * [new tag] trunk/8147370733bbdcd034cad54e9212e51885a11892 -> trunk/8147370733bbdcd034cad54e9212e51885a11892 2025-08-14T21:26:40.7004984Z * [new tag] trunk/83875cdb5594ccb3c9206b8eb5745fe1d011cf26 -> trunk/83875cdb5594ccb3c9206b8eb5745fe1d011cf26 2025-08-14T21:26:40.7005300Z * [new tag] trunk/8399cf88ce8399d2be93355f29d4cb69f51c0654 -> trunk/8399cf88ce8399d2be93355f29d4cb69f51c0654 2025-08-14T21:26:40.7005640Z * [new tag] trunk/842cc77ab9aafd518593c2fce077d6abb42a5b7f -> trunk/842cc77ab9aafd518593c2fce077d6abb42a5b7f 2025-08-14T21:26:40.7007740Z * [new tag] trunk/85db508af533649d0b3447ff3f0d5fe083150c84 -> trunk/85db508af533649d0b3447ff3f0d5fe083150c84 2025-08-14T21:26:40.7008104Z * [new tag] trunk/86eb65f7f06016bcd5d7951dc9d74bc3993a827a -> trunk/86eb65f7f06016bcd5d7951dc9d74bc3993a827a 2025-08-14T21:26:40.7008314Z * [new tag] trunk/87e6c4079d8ec7d04aff00ed82096b39836a8367 -> trunk/87e6c4079d8ec7d04aff00ed82096b39836a8367 2025-08-14T21:26:40.7008523Z * [new tag] trunk/89654db1abccf7e5f261989a150db4d1619ea2aa -> trunk/89654db1abccf7e5f261989a150db4d1619ea2aa 2025-08-14T21:26:40.7008741Z * [new tag] trunk/8a37f0c90392a2c38b7c5955471fa49edcaf5cb1 -> trunk/8a37f0c90392a2c38b7c5955471fa49edcaf5cb1 2025-08-14T21:26:40.7008942Z * [new tag] trunk/8ab5868a2199fe485c2d66533b9244ccb97e487d -> trunk/8ab5868a2199fe485c2d66533b9244ccb97e487d 2025-08-14T21:26:40.7009144Z * [new tag] trunk/8ae4d2652f64b8444b3d5314b9232bd2119bcde6 -> trunk/8ae4d2652f64b8444b3d5314b9232bd2119bcde6 2025-08-14T21:26:40.7009356Z * [new tag] trunk/8c41cb800ae0411f02ea5da34bd5ccc3790633b0 -> trunk/8c41cb800ae0411f02ea5da34bd5ccc3790633b0 2025-08-14T21:26:40.7009564Z * [new tag] trunk/8cb91e20bc205b1416648d0ffd98d1ba1f3a6fc4 -> trunk/8cb91e20bc205b1416648d0ffd98d1ba1f3a6fc4 2025-08-14T21:26:40.7009861Z * [new tag] trunk/8cfaf51d4e29c9bd9f49ecc98d955ed53df1a13d -> trunk/8cfaf51d4e29c9bd9f49ecc98d955ed53df1a13d 2025-08-14T21:26:40.7010140Z * [new tag] trunk/8d1cf529229dce7cd5ea04abb0faac83b87ca6d1 -> trunk/8d1cf529229dce7cd5ea04abb0faac83b87ca6d1 2025-08-14T21:26:40.7010344Z * [new tag] trunk/8d3d1c844303cb1d46123a1caa76d4cf83973347 -> trunk/8d3d1c844303cb1d46123a1caa76d4cf83973347 2025-08-14T21:26:40.7010554Z * [new tag] trunk/8d6d3246316e1767a57d5e855acd6208da753b75 -> trunk/8d6d3246316e1767a57d5e855acd6208da753b75 2025-08-14T21:26:40.7010750Z * [new tag] trunk/8e6a3138581152ab827a0997f34c470271399f5e -> trunk/8e6a3138581152ab827a0997f34c470271399f5e 2025-08-14T21:26:40.7010960Z * [new tag] trunk/8eee08d2279b98af2522debb6512d37e837e89e3 -> trunk/8eee08d2279b98af2522debb6512d37e837e89e3 2025-08-14T21:26:40.7011172Z * [new tag] trunk/90b78ee50f73b5c963996076a3d54b74b1b965be -> trunk/90b78ee50f73b5c963996076a3d54b74b1b965be 2025-08-14T21:26:40.7011402Z * [new tag] trunk/94b91a876327820a4bb6f5d39d156f13f2553ab6 -> trunk/94b91a876327820a4bb6f5d39d156f13f2553ab6 2025-08-14T21:26:40.7011823Z * [new tag] trunk/95210cc409dd578988c7116b47725c304dea54c7 -> trunk/95210cc409dd578988c7116b47725c304dea54c7 2025-08-14T21:26:40.7012076Z * [new tag] trunk/96bd33b2de79598566df395f32e27c4d33673f05 -> trunk/96bd33b2de79598566df395f32e27c4d33673f05 2025-08-14T21:26:40.7012443Z * [new tag] trunk/9708fcf92db88b80b9010c68662d634434da3106 -> trunk/9708fcf92db88b80b9010c68662d634434da3106 2025-08-14T21:26:40.7012754Z * [new tag] trunk/97c8c98f8dcb9c5c188b691d156e0043dba6c7f8 -> trunk/97c8c98f8dcb9c5c188b691d156e0043dba6c7f8 2025-08-14T21:26:40.7013058Z * [new tag] trunk/9903ca4f70bdc1653016256f5b4fd74fdfc609f8 -> trunk/9903ca4f70bdc1653016256f5b4fd74fdfc609f8 2025-08-14T21:26:40.7015054Z * [new tag] trunk/99bc2f94c1955657e950ebdad5f77e518785ccbd -> trunk/99bc2f94c1955657e950ebdad5f77e518785ccbd 2025-08-14T21:26:40.7015371Z * [new tag] trunk/9a06e6d0310da9d8a59ae05e8ec9c0201b55cacd -> trunk/9a06e6d0310da9d8a59ae05e8ec9c0201b55cacd 2025-08-14T21:26:40.7015639Z * [new tag] trunk/9a0f7a3bb01b235ea04581ee540970a098071b72 -> trunk/9a0f7a3bb01b235ea04581ee540970a098071b72 2025-08-14T21:26:40.7015853Z * [new tag] trunk/9b803cdbe298009f08340c1aaccb25aafbca95d8 -> trunk/9b803cdbe298009f08340c1aaccb25aafbca95d8 2025-08-14T21:26:40.7016067Z * [new tag] trunk/9ccd0f5e31ea54fcf42101dfbaacc103494e34df -> trunk/9ccd0f5e31ea54fcf42101dfbaacc103494e34df 2025-08-14T21:26:40.7016275Z * [new tag] trunk/9d37c960a4fc44d5ac334ca8bf775f85b95d76fc -> trunk/9d37c960a4fc44d5ac334ca8bf775f85b95d76fc 2025-08-14T21:26:40.7016477Z * [new tag] trunk/9e07673deb212c87b1c6fea23799a97474c476ed -> trunk/9e07673deb212c87b1c6fea23799a97474c476ed 2025-08-14T21:26:40.7016688Z * [new tag] trunk/9eedd2a20b64302d0d116ea2802b50948d2ebb09 -> trunk/9eedd2a20b64302d0d116ea2802b50948d2ebb09 2025-08-14T21:26:40.7016905Z * [new tag] trunk/9fa8ce26cf638504469852cbc3e7d04579fc8674 -> trunk/9fa8ce26cf638504469852cbc3e7d04579fc8674 2025-08-14T21:26:40.7017115Z * [new tag] trunk/a06ec54d40013c97fbffc174ea8f524ea5a95715 -> trunk/a06ec54d40013c97fbffc174ea8f524ea5a95715 2025-08-14T21:26:40.7017321Z * [new tag] trunk/a288b15ea9f87ddd665f249d492e0fb0861f5a69 -> trunk/a288b15ea9f87ddd665f249d492e0fb0861f5a69 2025-08-14T21:26:40.7017537Z * [new tag] trunk/a2fd106d670bb4990cebfd00f25ecbae4145e76c -> trunk/a2fd106d670bb4990cebfd00f25ecbae4145e76c 2025-08-14T21:26:40.7017748Z * [new tag] trunk/a354fa91e26b376d96385a2206c5ff5b42aa4600 -> trunk/a354fa91e26b376d96385a2206c5ff5b42aa4600 2025-08-14T21:26:40.7018098Z * [new tag] trunk/a4f69a5da08eace1c1e6469dec6a18aa842da73b -> trunk/a4f69a5da08eace1c1e6469dec6a18aa842da73b 2025-08-14T21:26:40.7018315Z * [new tag] trunk/a53d14d5f846ac44f6c205abb1c5bc4d2f3126ae -> trunk/a53d14d5f846ac44f6c205abb1c5bc4d2f3126ae 2025-08-14T21:26:40.7018601Z * [new tag] trunk/a5652407e4f3d772fc44486ac2abf756decf0861 -> trunk/a5652407e4f3d772fc44486ac2abf756decf0861 2025-08-14T21:26:40.7018837Z * [new tag] trunk/a7abf57aabec0ce686092e2d66e53ba185dbc56b -> trunk/a7abf57aabec0ce686092e2d66e53ba185dbc56b 2025-08-14T21:26:40.7019111Z * [new tag] trunk/a84b60c0c4016785fd93b7b8a0c04f2d0770d332 -> trunk/a84b60c0c4016785fd93b7b8a0c04f2d0770d332 2025-08-14T21:26:40.7019400Z * [new tag] trunk/aa75e917bdb0f95bb6dee81853c2d3c4ab3e1883 -> trunk/aa75e917bdb0f95bb6dee81853c2d3c4ab3e1883 2025-08-14T21:26:40.7019725Z * [new tag] trunk/adcca7d9a1c053495e99012de801b2ea237faad0 -> trunk/adcca7d9a1c053495e99012de801b2ea237faad0 2025-08-14T21:26:40.7020058Z * [new tag] trunk/af10f1f86cc4effc93142a447693d8be55966615 -> trunk/af10f1f86cc4effc93142a447693d8be55966615 2025-08-14T21:26:40.7020387Z * [new tag] trunk/af3cabc55d5699f4da528e1ca39d83338f84ae8c -> trunk/af3cabc55d5699f4da528e1ca39d83338f84ae8c 2025-08-14T21:26:40.7020712Z * [new tag] trunk/b0df7715e8c590c0001d1f9cdb97057be80c9107 -> trunk/b0df7715e8c590c0001d1f9cdb97057be80c9107 2025-08-14T21:26:40.7022745Z * [new tag] trunk/b149c7204c218e7c4d6594a89dd74f72bd480ec5 -> trunk/b149c7204c218e7c4d6594a89dd74f72bd480ec5 2025-08-14T21:26:40.7023025Z * [new tag] trunk/b1a602762e6a6674b406a3137e7e7a678885a97b -> trunk/b1a602762e6a6674b406a3137e7e7a678885a97b 2025-08-14T21:26:40.7023244Z * [new tag] trunk/b1f43548cad8fc0e30bda250f6e196310fa7a4bc -> trunk/b1f43548cad8fc0e30bda250f6e196310fa7a4bc 2025-08-14T21:26:40.7023454Z * [new tag] trunk/b219ca2a00a305753c4f1ea4c9c5d23243d54753 -> trunk/b219ca2a00a305753c4f1ea4c9c5d23243d54753 2025-08-14T21:26:40.7023655Z * [new tag] trunk/b4596895b9d85a686c2cb978938b0a7797b3690a -> trunk/b4596895b9d85a686c2cb978938b0a7797b3690a 2025-08-14T21:26:40.7023868Z * [new tag] trunk/b5fd7223b1bf44720dc9183bda7dfcf7aeccff02 -> trunk/b5fd7223b1bf44720dc9183bda7dfcf7aeccff02 2025-08-14T21:26:40.7024078Z * [new tag] trunk/b602ea9cab7d43a7ee7b4051227090f23fbd3dbf -> trunk/b602ea9cab7d43a7ee7b4051227090f23fbd3dbf 2025-08-14T21:26:40.7024297Z * [new tag] trunk/b6b74aed604bd2e96389ff99aaaf39abc64fdc64 -> trunk/b6b74aed604bd2e96389ff99aaaf39abc64fdc64 2025-08-14T21:26:40.7024504Z * [new tag] trunk/b7db86600a2614adc71c92ca42d359a7ac534d78 -> trunk/b7db86600a2614adc71c92ca42d359a7ac534d78 2025-08-14T21:26:40.7024701Z * [new tag] trunk/b9003ed3d87699e81e436719625a21996a6654e5 -> trunk/b9003ed3d87699e81e436719625a21996a6654e5 2025-08-14T21:26:40.7024923Z * [new tag] trunk/b90feeac86bda00afc2789321bcd706015ff44e3 -> trunk/b90feeac86bda00afc2789321bcd706015ff44e3 2025-08-14T21:26:40.7025132Z * [new tag] trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8 -> trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8 2025-08-14T21:26:40.7025357Z * [new tag] trunk/ba47821f524eee50a214ed39fa2e7765d54aabf4 -> trunk/ba47821f524eee50a214ed39fa2e7765d54aabf4 2025-08-14T21:26:40.7025596Z * [new tag] trunk/ba4ccf5d67e3d237f435eacc2bce3c6025f08491 -> trunk/ba4ccf5d67e3d237f435eacc2bce3c6025f08491 2025-08-14T21:26:40.7025878Z * [new tag] trunk/bcf23ecc476df2bd7479f142567213e2623308ee -> trunk/bcf23ecc476df2bd7479f142567213e2623308ee 2025-08-14T21:26:40.7026208Z * [new tag] trunk/be53f609aaf6f01e2863f490975ea9eaac3ee9ff -> trunk/be53f609aaf6f01e2863f490975ea9eaac3ee9ff 2025-08-14T21:26:40.7026492Z * [new tag] trunk/beb4d7816dedc67a5de1f82e5a45b5910f407941 -> trunk/beb4d7816dedc67a5de1f82e5a45b5910f407941 2025-08-14T21:26:40.7026877Z * [new tag] trunk/bfc873d02ec413344717493e4175a902921359fd -> trunk/bfc873d02ec413344717493e4175a902921359fd 2025-08-14T21:26:40.7027248Z * [new tag] trunk/c184cb3852f0ff2d16a489d61abc3739c309e6ca -> trunk/c184cb3852f0ff2d16a489d61abc3739c309e6ca 2025-08-14T21:26:40.7027583Z * [new tag] trunk/c24ca7f4bf79f62fd623d76346ca27e53f731431 -> trunk/c24ca7f4bf79f62fd623d76346ca27e53f731431 2025-08-14T21:26:40.7027943Z * [new tag] trunk/c3dc8dc4122977893004c49d10e4676cd0a97da4 -> trunk/c3dc8dc4122977893004c49d10e4676cd0a97da4 2025-08-14T21:26:40.7028290Z * [new tag] trunk/c5ec5458a547f7a774468ea0eb2258d3de596492 -> trunk/c5ec5458a547f7a774468ea0eb2258d3de596492 2025-08-14T21:26:40.7030265Z * [new tag] trunk/c5efc5c8a66eca84865015058b3221013ebfe685 -> trunk/c5efc5c8a66eca84865015058b3221013ebfe685 2025-08-14T21:26:40.7030553Z * [new tag] trunk/c6563341208003f64c131854a9cf029555f786d2 -> trunk/c6563341208003f64c131854a9cf029555f786d2 2025-08-14T21:26:40.7030767Z * [new tag] trunk/c6d78d4dbda53837d298d23a5fbc09af90a42d9e -> trunk/c6d78d4dbda53837d298d23a5fbc09af90a42d9e 2025-08-14T21:26:40.7030981Z * [new tag] trunk/c8205cb35435f39d2c26f6c94b45e4adeb6dcb23 -> trunk/c8205cb35435f39d2c26f6c94b45e4adeb6dcb23 2025-08-14T21:26:40.7031185Z * [new tag] trunk/c859ba7114b1fcb49527e090745fa17091d1f8d5 -> trunk/c859ba7114b1fcb49527e090745fa17091d1f8d5 2025-08-14T21:26:40.7031384Z * [new tag] trunk/c86040a8e68f754b90a84099187d3624954c7f36 -> trunk/c86040a8e68f754b90a84099187d3624954c7f36 2025-08-14T21:26:40.7031590Z * [new tag] trunk/c9671dc865aa0fc1cb86df754e355b44d8e02bb4 -> trunk/c9671dc865aa0fc1cb86df754e355b44d8e02bb4 2025-08-14T21:26:40.7031801Z * [new tag] trunk/ca7315c17162ea21b1ca5ba23f4bf6168766c7b9 -> trunk/ca7315c17162ea21b1ca5ba23f4bf6168766c7b9 2025-08-14T21:26:40.7032019Z * [new tag] trunk/cae2b5e3d223829bdc553fc8601df4b1c1554cff -> trunk/cae2b5e3d223829bdc553fc8601df4b1c1554cff 2025-08-14T21:26:40.7032224Z * [new tag] trunk/cbffde774557752cf20447d42d99ec6102673c31 -> trunk/cbffde774557752cf20447d42d99ec6102673c31 2025-08-14T21:26:40.7032443Z * [new tag] trunk/cd8d8c18f5bafdc1c73d5ac0129e7b4d76ab45bc -> trunk/cd8d8c18f5bafdc1c73d5ac0129e7b4d76ab45bc 2025-08-14T21:26:40.7032660Z * [new tag] trunk/cf0a0dcb0afa5e84b95461cc542f862b51ca96bf -> trunk/cf0a0dcb0afa5e84b95461cc542f862b51ca96bf 2025-08-14T21:26:40.7032873Z * [new tag] trunk/cf4964be68fa9f4ffc334f01cce42d7424b1cc81 -> trunk/cf4964be68fa9f4ffc334f01cce42d7424b1cc81 2025-08-14T21:26:40.7033095Z * [new tag] trunk/d0e2240f680ea2a553f7ee8188f52482e130bfd0 -> trunk/d0e2240f680ea2a553f7ee8188f52482e130bfd0 2025-08-14T21:26:40.7033365Z * [new tag] trunk/d1950d4bb5cba8fb6b23e4d283eea5b9801737e2 -> trunk/d1950d4bb5cba8fb6b23e4d283eea5b9801737e2 2025-08-14T21:26:40.7033679Z * [new tag] trunk/d20c4c20e61adecf00335c4d8c22eb1ace472cd3 -> trunk/d20c4c20e61adecf00335c4d8c22eb1ace472cd3 2025-08-14T21:26:40.7034003Z * [new tag] trunk/d25c4f954d599ea512e2f70cd6df101c21479d4c -> trunk/d25c4f954d599ea512e2f70cd6df101c21479d4c 2025-08-14T21:26:40.7034308Z * [new tag] trunk/d3d359dbafa89173a371e2637f22b47398e94a24 -> trunk/d3d359dbafa89173a371e2637f22b47398e94a24 2025-08-14T21:26:40.7034668Z * [new tag] trunk/d46768db04499d07a5b0db984112a6d1b7d3b0c1 -> trunk/d46768db04499d07a5b0db984112a6d1b7d3b0c1 2025-08-14T21:26:40.7035020Z * [new tag] trunk/d4c1a08c89f37d249a0146ff511c82ecc5c53b8f -> trunk/d4c1a08c89f37d249a0146ff511c82ecc5c53b8f 2025-08-14T21:26:40.7035384Z * [new tag] trunk/d556586448f3caab85673c7da0978fe31c7748f7 -> trunk/d556586448f3caab85673c7da0978fe31c7748f7 2025-08-14T21:26:40.7035759Z * [new tag] trunk/d670304001429a1a833255a918ed788d7ec4989a -> trunk/d670304001429a1a833255a918ed788d7ec4989a 2025-08-14T21:26:40.7036090Z * [new tag] trunk/d6786741a77aba200c78002646cc069b7a1799b0 -> trunk/d6786741a77aba200c78002646cc069b7a1799b0 2025-08-14T21:26:40.7038342Z * [new tag] trunk/d68c323692dedcbb74e670801e3502944fd790ff -> trunk/d68c323692dedcbb74e670801e3502944fd790ff 2025-08-14T21:26:40.7038568Z * [new tag] trunk/d8cb3db5339b45e4b745b2b883ef3ecde9843e2c -> trunk/d8cb3db5339b45e4b745b2b883ef3ecde9843e2c 2025-08-14T21:26:40.7038773Z * [new tag] trunk/da1f608ca33f3062535d0a4866d95db19e72fcbd -> trunk/da1f608ca33f3062535d0a4866d95db19e72fcbd 2025-08-14T21:26:40.7038984Z * [new tag] trunk/db0b7f1cc9bb3fe71aaf8b964a644147ae8e1c35 -> trunk/db0b7f1cc9bb3fe71aaf8b964a644147ae8e1c35 2025-08-14T21:26:40.7039193Z * [new tag] trunk/db32b60662b2f2bdcad980127d5dc4b66b02a7e4 -> trunk/db32b60662b2f2bdcad980127d5dc4b66b02a7e4 2025-08-14T21:26:40.7039396Z * [new tag] trunk/db763b17175553ba09637362eb9773a91997a7ad -> trunk/db763b17175553ba09637362eb9773a91997a7ad 2025-08-14T21:26:40.7039607Z * [new tag] trunk/db78943a1ca13a32a3d6045eb15e2b719ee13a2f -> trunk/db78943a1ca13a32a3d6045eb15e2b719ee13a2f 2025-08-14T21:26:40.7039826Z * [new tag] trunk/dc0d18e023d9b7e314ebba0f234b6cb1579dbcfd -> trunk/dc0d18e023d9b7e314ebba0f234b6cb1579dbcfd 2025-08-14T21:26:40.7040029Z * [new tag] trunk/dd21c8a578038ab2841a7ba809a06921093ac9d8 -> trunk/dd21c8a578038ab2841a7ba809a06921093ac9d8 2025-08-14T21:26:40.7040244Z * [new tag] trunk/deea71a90e05eb320c04bebfead5317746637f0d -> trunk/deea71a90e05eb320c04bebfead5317746637f0d 2025-08-14T21:26:40.7040454Z * [new tag] trunk/df55ec7d4b35f6d21691e9dd41c82f27de762948 -> trunk/df55ec7d4b35f6d21691e9dd41c82f27de762948 2025-08-14T21:26:40.7040669Z * [new tag] trunk/e1cf0d496ea85d1807c8c740f296e77bf7bdc1df -> trunk/e1cf0d496ea85d1807c8c740f296e77bf7bdc1df 2025-08-14T21:26:40.7040872Z * [new tag] trunk/e248719ac03c103767ab72034f6b9fd56855bf98 -> trunk/e248719ac03c103767ab72034f6b9fd56855bf98 2025-08-14T21:26:40.7041088Z * [new tag] trunk/e49762026070f66be41bfa6537fbcf9bfc24e558 -> trunk/e49762026070f66be41bfa6537fbcf9bfc24e558 2025-08-14T21:26:40.7041298Z * [new tag] trunk/e4de93f6a3e342bab34d3757cf90ec0ccc87e168 -> trunk/e4de93f6a3e342bab34d3757cf90ec0ccc87e168 2025-08-14T21:26:40.7041526Z * [new tag] trunk/e619c6bb90b9dedaccd3cbeed86a288993a4e33f -> trunk/e619c6bb90b9dedaccd3cbeed86a288993a4e33f 2025-08-14T21:26:40.7041747Z * [new tag] trunk/e63c2b21c186a7d2ab8a8953b8aa1535f2e96e58 -> trunk/e63c2b21c186a7d2ab8a8953b8aa1535f2e96e58 2025-08-14T21:26:40.7042012Z * [new tag] trunk/e7152ff8a6a929a0db7f3f4a72a5b6d471769cd3 -> trunk/e7152ff8a6a929a0db7f3f4a72a5b6d471769cd3 2025-08-14T21:26:40.7042350Z * [new tag] trunk/e96c7c4bb0f6aeae2ab3b6f040f7d67edbec199a -> trunk/e96c7c4bb0f6aeae2ab3b6f040f7d67edbec199a 2025-08-14T21:26:40.7042658Z * [new tag] trunk/e9eb2096a59a79e7a94c3e28a0715e040369f34c -> trunk/e9eb2096a59a79e7a94c3e28a0715e040369f34c 2025-08-14T21:26:40.7042986Z * [new tag] trunk/eac2d9d695a32dd456050f45cac35134ec3809f4 -> trunk/eac2d9d695a32dd456050f45cac35134ec3809f4 2025-08-14T21:26:40.7043309Z * [new tag] trunk/ecde76c764752540edf9ef62a97936c86d984b17 -> trunk/ecde76c764752540edf9ef62a97936c86d984b17 2025-08-14T21:26:40.7045351Z * [new tag] trunk/ecea81117b2fdc52907c97b3c32d779e07b5d55b -> trunk/ecea81117b2fdc52907c97b3c32d779e07b5d55b 2025-08-14T21:26:40.7045624Z * [new tag] trunk/edaa151d0d5a4e75fbec9843f49cc78770eb61fb -> trunk/edaa151d0d5a4e75fbec9843f49cc78770eb61fb 2025-08-14T21:26:40.7045843Z * [new tag] trunk/ee1b0412b919dfb358d5a697b3be49621497fbc2 -> trunk/ee1b0412b919dfb358d5a697b3be49621497fbc2 2025-08-14T21:26:40.7046147Z * [new tag] trunk/ee1fb43450c2e985657f95a91b68328d6f20f24e -> trunk/ee1fb43450c2e985657f95a91b68328d6f20f24e 2025-08-14T21:26:40.7046398Z * [new tag] trunk/ee89cc7a0acd69de25f98fe4ef828546db7b444c -> trunk/ee89cc7a0acd69de25f98fe4ef828546db7b444c 2025-08-14T21:26:40.7046608Z * [new tag] trunk/ee9f8ba11d664b871a9e0c7933fdc8571635b78c -> trunk/ee9f8ba11d664b871a9e0c7933fdc8571635b78c 2025-08-14T21:26:40.7046823Z * [new tag] trunk/eed9dbf70f43ee529fec78ac00ed9a4fd74c6e76 -> trunk/eed9dbf70f43ee529fec78ac00ed9a4fd74c6e76 2025-08-14T21:26:40.7047042Z * [new tag] trunk/f077c2402e4eb5b0ed562b4ee5b7a0503f26ef94 -> trunk/f077c2402e4eb5b0ed562b4ee5b7a0503f26ef94 2025-08-14T21:26:40.7047250Z * [new tag] trunk/f0980fc0bbd656d6c02d23ad97e945353b314f35 -> trunk/f0980fc0bbd656d6c02d23ad97e945353b314f35 2025-08-14T21:26:40.7047469Z * [new tag] trunk/f15ada5c6fad97a7dcbfa4673f067b6942dda640 -> trunk/f15ada5c6fad97a7dcbfa4673f067b6942dda640 2025-08-14T21:26:40.7047672Z * [new tag] trunk/f27232a2134150cb5e55d26a74d8c36c6a961ca5 -> trunk/f27232a2134150cb5e55d26a74d8c36c6a961ca5 2025-08-14T21:26:40.7047970Z * [new tag] trunk/f33ce40bc062a281e1a1f57e8c1926d0a7d155cc -> trunk/f33ce40bc062a281e1a1f57e8c1926d0a7d155cc 2025-08-14T21:26:40.7048175Z * [new tag] trunk/f341077ce4710172da20cfad916ee37159bfe9fe -> trunk/f341077ce4710172da20cfad916ee37159bfe9fe 2025-08-14T21:26:40.7048397Z * [new tag] trunk/f3a4d742ece08de4cb0e59dcc62e0093a7d0b0c7 -> trunk/f3a4d742ece08de4cb0e59dcc62e0093a7d0b0c7 2025-08-14T21:26:40.7048612Z * [new tag] trunk/f3f159ff8c4bad2edec99c68a941c628e983d04c -> trunk/f3f159ff8c4bad2edec99c68a941c628e983d04c 2025-08-14T21:26:40.7048831Z * [new tag] trunk/f60454cce8b93e5bbf67f2f3c88c8ac01ed65457 -> trunk/f60454cce8b93e5bbf67f2f3c88c8ac01ed65457 2025-08-14T21:26:40.7049053Z * [new tag] trunk/f7b2f3314cf7aede67d5fa5c75e4243208484344 -> trunk/f7b2f3314cf7aede67d5fa5c75e4243208484344 2025-08-14T21:26:40.7049360Z * [new tag] trunk/f8f0414a5983ff481a2188e0c18594150430c8c5 -> trunk/f8f0414a5983ff481a2188e0c18594150430c8c5 2025-08-14T21:26:40.7049672Z * [new tag] trunk/f95b58c2844b3444cd8446fed8570729dc4216eb -> trunk/f95b58c2844b3444cd8446fed8570729dc4216eb 2025-08-14T21:26:40.7050032Z * [new tag] trunk/f990490a23815ea6ee27e487c70ba2cf513ba43d -> trunk/f990490a23815ea6ee27e487c70ba2cf513ba43d 2025-08-14T21:26:40.7050325Z * [new tag] trunk/fb887c3bb588cfe782615e67f6c26db636b8539b -> trunk/fb887c3bb588cfe782615e67f6c26db636b8539b 2025-08-14T21:26:40.7051144Z * [new tag] trunk/fc25c68f20f772290927a7031b998b92615259cf -> trunk/fc25c68f20f772290927a7031b998b92615259cf 2025-08-14T21:26:40.7051362Z * [new tag] trunk/fc80f6859e0ccf66513a40f04b9e735e759d4ddb -> trunk/fc80f6859e0ccf66513a40f04b9e735e759d4ddb 2025-08-14T21:26:40.7053425Z * [new tag] trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb -> trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb 2025-08-14T21:26:40.7053653Z * [new tag] trunk/fe3f5fe4ea2ff6f56406dc5d954636ebb08d0a08 -> trunk/fe3f5fe4ea2ff6f56406dc5d954636ebb08d0a08 2025-08-14T21:26:40.7053861Z * [new tag] trunk/fea7e9dd37c02c334b130f6624af6163fde6b2ab -> trunk/fea7e9dd37c02c334b130f6624af6163fde6b2ab 2025-08-14T21:26:40.7054071Z * [new tag] trunk/ff0d56d03592aa03f3ced8359241d21df1783393 -> trunk/ff0d56d03592aa03f3ced8359241d21df1783393 2025-08-14T21:26:40.7054153Z * [new tag] v0.1.1 -> v0.1.1 2025-08-14T21:26:40.7054232Z * [new tag] v0.1.10 -> v0.1.10 2025-08-14T21:26:40.7054310Z * [new tag] v0.1.11 -> v0.1.11 2025-08-14T21:26:40.7054474Z * [new tag] v0.1.12 -> v0.1.12 2025-08-14T21:26:40.7054550Z * [new tag] v0.1.2 -> v0.1.2 2025-08-14T21:26:40.7054626Z * [new tag] v0.1.3 -> v0.1.3 2025-08-14T21:26:40.7054764Z * [new tag] v0.1.4 -> v0.1.4 2025-08-14T21:26:40.7054863Z * [new tag] v0.1.5 -> v0.1.5 2025-08-14T21:26:40.7055165Z * [new tag] v0.1.6 -> v0.1.6 2025-08-14T21:26:40.7055435Z * [new tag] v0.1.7 -> v0.1.7 2025-08-14T21:26:40.7055776Z * [new tag] v0.1.8 -> v0.1.8 2025-08-14T21:26:40.7056042Z * [new tag] v0.1.9 -> v0.1.9 2025-08-14T21:26:40.7056340Z * [new tag] v0.2.0 -> v0.2.0 2025-08-14T21:26:40.7056666Z * [new tag] v0.3.0 -> v0.3.0 2025-08-14T21:26:40.7057019Z * [new tag] v0.3.1 -> v0.3.1 2025-08-14T21:26:40.7057329Z * [new tag] v0.4.0 -> v0.4.0 2025-08-14T21:26:40.7057624Z * [new tag] v0.4.1 -> v0.4.1 2025-08-14T21:26:40.7057998Z * [new tag] v1.0.0 -> v1.0.0 2025-08-14T21:26:40.7058329Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-08-14T21:26:40.7060187Z * [new tag] v1.0.1 -> v1.0.1 2025-08-14T21:26:40.7060266Z * [new tag] v1.0rc0 -> v1.0rc0 2025-08-14T21:26:40.7060348Z * [new tag] v1.0rc1 -> v1.0rc1 2025-08-14T21:26:40.7060422Z * [new tag] v1.1.0 -> v1.1.0 2025-08-14T21:26:40.7060501Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-08-14T21:26:40.7060576Z * [new tag] v1.10.0 -> v1.10.0 2025-08-14T21:26:40.7060680Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-08-14T21:26:40.7060973Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-08-14T21:26:40.7061211Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-08-14T21:26:40.7061533Z * [new tag] v1.10.1 -> v1.10.1 2025-08-14T21:26:40.7061759Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-08-14T21:26:40.7061983Z * [new tag] v1.10.2 -> v1.10.2 2025-08-14T21:26:40.7062230Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-08-14T21:26:40.7062559Z * [new tag] v1.11.0 -> v1.11.0 2025-08-14T21:26:40.7062936Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-08-14T21:26:40.7063302Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-08-14T21:26:40.7063636Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-08-14T21:26:40.7063980Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-08-14T21:26:40.7064303Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-08-14T21:26:40.7064527Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-08-14T21:26:40.7064766Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-08-14T21:26:40.7065110Z * [new tag] v1.12.0 -> v1.12.0 2025-08-14T21:26:40.7067045Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-08-14T21:26:40.7067215Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-08-14T21:26:40.7067296Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-08-14T21:26:40.7067379Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-08-14T21:26:40.7067558Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-08-14T21:26:40.7067636Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-08-14T21:26:40.7067714Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-08-14T21:26:40.7067858Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-08-14T21:26:40.7068017Z * [new tag] v1.12.1 -> v1.12.1 2025-08-14T21:26:40.7068768Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-08-14T21:26:40.7068860Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-08-14T21:26:40.7069239Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-08-14T21:26:40.7069585Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-08-14T21:26:40.7069810Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-08-14T21:26:40.7070179Z * [new tag] v1.13.0 -> v1.13.0 2025-08-14T21:26:40.7070474Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-08-14T21:26:40.7070773Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-08-14T21:26:40.7071108Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-08-14T21:26:40.7071509Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-08-14T21:26:40.7071721Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-08-14T21:26:40.7071950Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-08-14T21:26:40.7072279Z * [new tag] v1.13.1 -> v1.13.1 2025-08-14T21:26:40.7072504Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-08-14T21:26:40.7074568Z * [new tag] v1.2.0 -> v1.2.0 2025-08-14T21:26:40.7074664Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-08-14T21:26:40.7074742Z * [new tag] v1.3.0 -> v1.3.0 2025-08-14T21:26:40.7074821Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-08-14T21:26:40.7074896Z * [new tag] v1.3.1 -> v1.3.1 2025-08-14T21:26:40.7074972Z * [new tag] v1.4.0 -> v1.4.0 2025-08-14T21:26:40.7075057Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-08-14T21:26:40.7075131Z * [new tag] v1.4.1 -> v1.4.1 2025-08-14T21:26:40.7075298Z * [new tag] v1.5.0 -> v1.5.0 2025-08-14T21:26:40.7075859Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-08-14T21:26:40.7076046Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-08-14T21:26:40.7076431Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-08-14T21:26:40.7076703Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-08-14T21:26:40.7076935Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-08-14T21:26:40.7077300Z * [new tag] v1.5.1 -> v1.5.1 2025-08-14T21:26:40.7077547Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-08-14T21:26:40.7077776Z * [new tag] v1.6.0 -> v1.6.0 2025-08-14T21:26:40.7078230Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-08-14T21:26:40.7078627Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-08-14T21:26:40.7078935Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-08-14T21:26:40.7079253Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-08-14T21:26:40.7079621Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-08-14T21:26:40.7081601Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-08-14T21:26:40.7081766Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-08-14T21:26:40.7081843Z * [new tag] v1.7.0 -> v1.7.0 2025-08-14T21:26:40.7082009Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-08-14T21:26:40.7082089Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-08-14T21:26:40.7082167Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-08-14T21:26:40.7082246Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-08-14T21:26:40.7082474Z * [new tag] v1.7.1 -> v1.7.1 2025-08-14T21:26:40.7082606Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-08-14T21:26:40.7082984Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-08-14T21:26:40.7083218Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-08-14T21:26:40.7083586Z * [new tag] v1.8.0 -> v1.8.0 2025-08-14T21:26:40.7083826Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-08-14T21:26:40.7084183Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-08-14T21:26:40.7084562Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-08-14T21:26:40.7084895Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-08-14T21:26:40.7085127Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-08-14T21:26:40.7085387Z * [new tag] v1.8.1 -> v1.8.1 2025-08-14T21:26:40.7085757Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-08-14T21:26:40.7086010Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-08-14T21:26:40.7086260Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-08-14T21:26:40.7086988Z * [new tag] v1.8.2 -> v1.8.2 2025-08-14T21:26:40.7087087Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-08-14T21:26:40.7089210Z * [new tag] v1.9.0 -> v1.9.0 2025-08-14T21:26:40.7089358Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-08-14T21:26:40.7089442Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-08-14T21:26:40.7089520Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-08-14T21:26:40.7089597Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-08-14T21:26:40.7089672Z * [new tag] v1.9.1 -> v1.9.1 2025-08-14T21:26:40.7089756Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-08-14T21:26:40.7089884Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-08-14T21:26:40.7090251Z * [new tag] v2.0.0 -> v2.0.0 2025-08-14T21:26:40.7090560Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-08-14T21:26:40.7090927Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-08-14T21:26:40.7091267Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-08-14T21:26:40.7091630Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-08-14T21:26:40.7091963Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-08-14T21:26:40.7092221Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-08-14T21:26:40.7092594Z * [new tag] v2.0.1 -> v2.0.1 2025-08-14T21:26:40.7092963Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-08-14T21:26:40.7093195Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-08-14T21:26:40.7093574Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-08-14T21:26:40.7093827Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-08-14T21:26:40.7094571Z * [new tag] v2.1.0 -> v2.1.0 2025-08-14T21:26:40.7094817Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-08-14T21:26:40.7095142Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-08-14T21:26:40.7097332Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-08-14T21:26:40.7097466Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-08-14T21:26:40.7098743Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-08-14T21:26:40.7098869Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-08-14T21:26:40.7099559Z * [new tag] v2.1.1 -> v2.1.1 2025-08-14T21:26:40.7099926Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-08-14T21:26:40.7100332Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-08-14T21:26:40.7100972Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-08-14T21:26:40.7101224Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-08-14T21:26:40.7101609Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-08-14T21:26:40.7101880Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-08-14T21:26:40.7102423Z * [new tag] v2.1.2 -> v2.1.2 2025-08-14T21:26:40.7102717Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-08-14T21:26:40.7103289Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-08-14T21:26:40.7103400Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-08-14T21:26:40.7103970Z * [new tag] v2.2.0 -> v2.2.0 2025-08-14T21:26:40.7104225Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-08-14T21:26:40.7104602Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-08-14T21:26:40.7104950Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-08-14T21:26:40.7105301Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-08-14T21:26:40.7105650Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-08-14T21:26:40.7106047Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-08-14T21:26:40.7108173Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-08-14T21:26:40.7108308Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-08-14T21:26:40.7108384Z * [new tag] v2.2.1 -> v2.2.1 2025-08-14T21:26:40.7108466Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-08-14T21:26:40.7108549Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-08-14T21:26:40.7108625Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-08-14T21:26:40.7108700Z * [new tag] v2.2.2 -> v2.2.2 2025-08-14T21:26:40.7108888Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-08-14T21:26:40.7109154Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-08-14T21:26:40.7109428Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-08-14T21:26:40.7109805Z * [new tag] v2.3.0 -> v2.3.0 2025-08-14T21:26:40.7110203Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-08-14T21:26:40.7110592Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-08-14T21:26:40.7111296Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-08-14T21:26:40.7111473Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-08-14T21:26:40.7111705Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-08-14T21:26:40.7112098Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-08-14T21:26:40.7112468Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-08-14T21:26:40.7112896Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-08-14T21:26:40.7113119Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-08-14T21:26:40.7113660Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-08-14T21:26:40.7113896Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-08-14T21:26:40.7114170Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-08-14T21:26:40.7116195Z * [new tag] v2.3.1 -> v2.3.1 2025-08-14T21:26:40.7116308Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-08-14T21:26:40.7116395Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-08-14T21:26:40.7116474Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-08-14T21:26:40.7116558Z * [new tag] v2.4.0 -> v2.4.0 2025-08-14T21:26:40.7116876Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-08-14T21:26:40.7117250Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-08-14T21:26:40.7117626Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-08-14T21:26:40.7118061Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-08-14T21:26:40.7118604Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-08-14T21:26:40.7118845Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-08-14T21:26:40.7119241Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-08-14T21:26:40.7119578Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-08-14T21:26:40.7120539Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-08-14T21:26:40.7120624Z * [new tag] v2.4.1 -> v2.4.1 2025-08-14T21:26:40.7120735Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-08-14T21:26:40.7121122Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-08-14T21:26:40.7121519Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-08-14T21:26:40.7121860Z * [new tag] v2.5.0 -> v2.5.0 2025-08-14T21:26:40.7122250Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-08-14T21:26:40.7122527Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-08-14T21:26:40.7122916Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-08-14T21:26:40.7125289Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-08-14T21:26:40.7125417Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-08-14T21:26:40.7125500Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-08-14T21:26:40.7125655Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-08-14T21:26:40.7125732Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-08-14T21:26:40.7125814Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-08-14T21:26:40.7125895Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-08-14T21:26:40.7125988Z * [new tag] v2.5.1 -> v2.5.1 2025-08-14T21:26:40.7126249Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-08-14T21:26:40.7126581Z * [new tag] v2.6.0 -> v2.6.0 2025-08-14T21:26:40.7126984Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-08-14T21:26:40.7127432Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-08-14T21:26:40.7127828Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-08-14T21:26:40.7128266Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-08-14T21:26:40.7128962Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-08-14T21:26:40.7129173Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-08-14T21:26:40.7129709Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-08-14T21:26:40.7130020Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-08-14T21:26:40.7130553Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-08-14T21:26:40.7130924Z * [new tag] v2.7.0 -> v2.7.0 2025-08-14T21:26:40.7131287Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-08-14T21:26:40.7131556Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-08-14T21:26:40.7133882Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-08-14T21:26:40.7134020Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-08-14T21:26:40.7134101Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-08-14T21:26:40.7134184Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-08-14T21:26:40.7134279Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-08-14T21:26:40.7134364Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-08-14T21:26:40.7134441Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-08-14T21:26:40.7134746Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-08-14T21:26:40.7135031Z * [new tag] v2.7.1 -> v2.7.1 2025-08-14T21:26:40.7135412Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-08-14T21:26:40.7136038Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-08-14T21:26:40.7136284Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-08-14T21:26:40.7136814Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-08-14T21:26:40.7136970Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-08-14T21:26:40.7137284Z * [new tag] v2.8.0 -> v2.8.0 2025-08-14T21:26:40.7137675Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-08-14T21:26:40.7138092Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-08-14T21:26:40.7138788Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-08-14T21:26:40.7139032Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-08-14T21:26:40.7139679Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-08-14T21:26:40.7139844Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-08-14T21:26:40.7140233Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-08-14T21:26:40.7142266Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-08-14T21:26:40.7144223Z * [new tag] whc_flight_1 -> whc_flight_1 2025-08-14T21:26:40.7144376Z * [new tag] whc_flight_2 -> whc_flight_2 2025-08-14T21:26:40.7144463Z * [new tag] whc_flight_4 -> whc_flight_4 2025-08-14T21:26:40.7545510Z [command]/usr/bin/git rev-parse --verify --quiet 1fc683cf17c8c673044538d10266c00f92987be2^{object} 2025-08-14T21:26:40.7570563Z 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:26:40.7572439Z ##[endgroup] 2025-08-14T21:26:40.7572606Z ##[group]Determining the checkout info 2025-08-14T21:26:40.7572844Z ##[endgroup] 2025-08-14T21:26:40.7575372Z [command]/usr/bin/git sparse-checkout disable 2025-08-14T21:26:40.7598483Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-08-14T21:26:40.7628190Z ##[group]Checking out the ref 2025-08-14T21:26:40.7630495Z [command]/usr/bin/git checkout --progress --force 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:26:41.4467988Z Note: switching to '1fc683cf17c8c673044538d10266c00f92987be2'. 2025-08-14T21:26:41.4468268Z 2025-08-14T21:26:41.4468454Z You are in 'detached HEAD' state. You can look around, make experimental 2025-08-14T21:26:41.4468844Z changes and commit them, and you can discard any commits you make in this 2025-08-14T21:26:41.4469241Z state without impacting any branches by switching back to a branch. 2025-08-14T21:26:41.4469469Z 2025-08-14T21:26:41.4469624Z If you want to create a new branch to retain commits you create, you may 2025-08-14T21:26:41.4469980Z do so (now or later) by using -c with the switch command. Example: 2025-08-14T21:26:41.4470200Z 2025-08-14T21:26:41.4470322Z git switch -c 2025-08-14T21:26:41.4470477Z 2025-08-14T21:26:41.4470560Z Or undo this operation with: 2025-08-14T21:26:41.4470695Z 2025-08-14T21:26:41.4470763Z git switch - 2025-08-14T21:26:41.4470861Z 2025-08-14T21:26:41.4471047Z Turn off this advice by setting config variable advice.detachedHead to false 2025-08-14T21:26:41.4471293Z 2025-08-14T21:26:41.4471575Z HEAD is now at 1fc683cf17c [Inductor] Allow indexing a flexible layout for extract_input_node_reduction_ranges (#160645) 2025-08-14T21:26:41.4539322Z ##[endgroup] 2025-08-14T21:26:41.4539597Z ##[group]Setting up auth for fetching submodules 2025-08-14T21:26:41.4546231Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-08-14T21:26:41.4584050Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-08-14T21:26:41.4609805Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-08-14T21:26:41.4634315Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-08-14T21:26:41.4656809Z ##[endgroup] 2025-08-14T21:26:41.4657006Z ##[group]Fetching submodules 2025-08-14T21:26:41.4659800Z [command]/usr/bin/git submodule sync --recursive 2025-08-14T21:26:41.4910385Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-08-14T21:26:41.5120762Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-08-14T21:26:41.5122666Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-08-14T21:26:41.5124240Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-08-14T21:26:41.5126491Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-08-14T21:26:41.5128995Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-08-14T21:26:41.5131284Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-08-14T21:26:41.5133306Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-08-14T21:26:41.5135396Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-08-14T21:26:41.5137817Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-08-14T21:26:41.5140051Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-08-14T21:26:41.5141909Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-08-14T21:26:41.5143783Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-08-14T21:26:41.5145787Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-08-14T21:26:41.5147496Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-08-14T21:26:41.5149564Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-08-14T21:26:41.5152470Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-08-14T21:26:41.5158073Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-08-14T21:26:41.5158405Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-08-14T21:26:41.5158729Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:26:41.5160070Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-08-14T21:26:41.5161962Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-08-14T21:26:41.5163884Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-08-14T21:26:41.5165751Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-08-14T21:26:41.5167707Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-08-14T21:26:41.5172716Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-08-14T21:26:41.5175789Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-08-14T21:26:41.5178509Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-08-14T21:26:41.5183282Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-08-14T21:26:41.5183740Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-08-14T21:26:41.5186416Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-08-14T21:26:41.5188862Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-08-14T21:26:41.5191292Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-08-14T21:26:41.5193360Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-08-14T21:26:41.5195635Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-08-14T21:26:41.5198123Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-08-14T21:26:41.5200390Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-08-14T21:26:41.5202679Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-08-14T21:26:41.5228988Z Cloning into '/home/runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-08-14T21:26:41.9481638Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-08-14T21:26:41.9481881Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/psimd'... 2025-08-14T21:26:41.9482075Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/FP16'... 2025-08-14T21:26:41.9482522Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-08-14T21:26:41.9645557Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-08-14T21:26:41.9972885Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-08-14T21:26:42.0187850Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-08-14T21:26:42.2492038Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/ideep'... 2025-08-14T21:26:42.2492441Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-08-14T21:26:42.2492803Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-08-14T21:26:42.2493153Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/gloo'... 2025-08-14T21:26:42.2493489Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-08-14T21:26:42.2512961Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-08-14T21:26:43.3549986Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-08-14T21:26:43.3550369Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-08-14T21:26:43.3550685Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-08-14T21:26:43.3551002Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-08-14T21:26:43.3551337Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-08-14T21:26:43.3551654Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-08-14T21:26:43.3551941Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/sleef'... 2025-08-14T21:26:43.3552249Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/googletest'... 2025-08-14T21:26:43.3558909Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-08-14T21:26:43.3559231Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-08-14T21:26:43.3559556Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-08-14T21:26:43.3559860Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/kineto'... 2025-08-14T21:26:43.3560159Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/fmt'... 2025-08-14T21:26:43.4550402Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-08-14T21:26:50.4154738Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-08-14T21:26:50.4161800Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-08-14T21:26:50.4162062Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-08-14T21:26:50.4162307Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/onnx'... 2025-08-14T21:26:50.4162569Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-08-14T21:26:50.4162818Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/aiter'... 2025-08-14T21:26:50.4163052Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-08-14T21:26:50.4163314Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-08-14T21:26:50.4163538Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-08-14T21:26:50.4259988Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-08-14T21:26:50.4348471Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-08-14T21:26:50.4410256Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-08-14T21:26:50.4537259Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-08-14T21:26:50.4955897Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-08-14T21:26:50.5229853Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-08-14T21:26:50.8556527Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-08-14T21:26:50.9348274Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-08-14T21:26:50.9364717Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:26:50.9394897Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-08-14T21:26:53.2933851Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-08-14T21:26:53.3076501Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-08-14T21:26:53.4544324Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-08-14T21:26:53.4853334Z Submodule path 'third_party/cpp-httplib': checked out '3af7f2c16147f3fbc6e4d717032daf505dc1652c' 2025-08-14T21:26:53.5385816Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-08-14T21:26:53.5630959Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-08-14T21:26:53.8863430Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-08-14T21:26:53.9579518Z Submodule path 'third_party/fbgemm': checked out '21c7d30c526c0f1ad873ecc632dca6cfa8a69067' 2025-08-14T21:26:53.9599168Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-08-14T21:26:53.9599801Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:26:53.9600596Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:26:53.9604074Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-08-14T21:26:53.9605173Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-08-14T21:26:53.9612367Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:26:53.9612896Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-08-14T21:26:53.9631862Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-08-14T21:26:55.0989257Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-08-14T21:26:55.0989613Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-08-14T21:26:55.0989925Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-08-14T21:26:55.0990194Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-08-14T21:26:55.1988059Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-08-14T21:26:55.4070418Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-08-14T21:26:57.3700445Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-08-14T21:26:57.4882131Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-08-14T21:26:57.5452356Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-08-14T21:26:57.8531403Z Submodule path 'third_party/fbgemm/external/cutlass': checked out 'b40777404c174b9694a870bff5c13ce6b7f656ad' 2025-08-14T21:26:57.8972416Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-08-14T21:26:57.9053980Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out 'a4337c69fe0e2552a7b7b0669178926beeed828c' 2025-08-14T21:26:57.9610862Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-08-14T21:26:58.0043878Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-08-14T21:26:58.0067225Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:26:58.0067690Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:26:58.0084717Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-08-14T21:27:00.2872591Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-08-14T21:27:00.3992336Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-08-14T21:27:00.6751482Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-08-14T21:27:00.7436565Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-08-14T21:27:00.7656761Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-08-14T21:27:00.7956556Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-08-14T21:27:00.8102591Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-08-14T21:27:00.8366143Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-08-14T21:27:00.8467788Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-08-14T21:27:00.8481497Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-08-14T21:27:00.8497222Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-08-14T21:27:07.5430022Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-08-14T21:27:07.5575152Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-08-14T21:27:07.6081760Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-08-14T21:27:07.6101306Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:27:07.6103364Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:27:07.6104762Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:27:07.6133977Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-08-14T21:27:08.3339253Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-08-14T21:27:08.6974613Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-08-14T21:27:08.7418582Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-08-14T21:27:08.7434455Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:27:08.7441571Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:27:08.7442039Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:27:08.7442460Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:27:08.7442884Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:27:08.7443345Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:27:08.7445587Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:27:08.7447567Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:27:08.7466180Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-08-14T21:27:09.8366313Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-08-14T21:27:09.8366897Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-08-14T21:27:09.8374209Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-08-14T21:27:09.8374766Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-08-14T21:27:09.8375268Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-08-14T21:27:09.8375972Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-08-14T21:27:09.9367275Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-08-14T21:27:12.2535254Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-08-14T21:27:12.2658421Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-08-14T21:27:12.2881260Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-08-14T21:27:12.2976805Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-08-14T21:27:12.2995874Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:27:12.3018650Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-08-14T21:27:12.7422085Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-08-14T21:27:12.7543222Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-08-14T21:27:12.7785737Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-08-14T21:27:12.8354792Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-08-14T21:27:12.8472511Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-08-14T21:27:12.8703858Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-08-14T21:27:12.9085766Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-08-14T21:27:12.9340616Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-08-14T21:27:12.9581454Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-08-14T21:27:13.0227843Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-08-14T21:27:13.2825063Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-08-14T21:27:13.2856667Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-08-14T21:27:13.2882156Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-08-14T21:27:14.1824191Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-08-14T21:27:14.2184223Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-08-14T21:27:14.2204295Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:27:14.2206240Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:27:14.2207608Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:27:14.2210165Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:27:14.2219748Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:27:14.2220564Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:27:14.2221279Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:27:14.2221862Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:27:14.2262611Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-08-14T21:27:14.7664967Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-08-14T21:27:14.8666406Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2025-08-14T21:27:15.2060636Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2025-08-14T21:27:15.8210559Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'... 2025-08-14T21:27:17.7192943Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-08-14T21:27:17.7193318Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'... 2025-08-14T21:27:17.8194005Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'... 2025-08-14T21:27:19.8740451Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-08-14T21:27:19.8985868Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-08-14T21:27:19.9113513Z Submodule path 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2025-08-14T21:27:24.8831082Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:27:24.8856652Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:27:24.8887692Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:27:24.8913473Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:27:24.8940524Z Entering 'third_party/kleidiai' 2025-08-14T21:27:24.8971559Z Entering 'third_party/mimalloc' 2025-08-14T21:27:24.8999806Z Entering 'third_party/nlohmann' 2025-08-14T21:27:24.9033986Z Entering 'third_party/onnx' 2025-08-14T21:27:24.9071041Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T21:27:24.9100198Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T21:27:24.9131131Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:27:24.9151595Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:27:24.9181554Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:27:24.9215317Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:27:24.9244576Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:27:24.9269233Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:27:24.9299802Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:27:24.9324711Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:27:24.9355684Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:27:24.9382498Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:27:24.9421615Z Entering 'third_party/pocketfft' 2025-08-14T21:27:24.9450187Z Entering 'third_party/protobuf' 2025-08-14T21:27:24.9484611Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:27:24.9518568Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T21:27:24.9542532Z Entering 'third_party/psimd' 2025-08-14T21:27:24.9575171Z Entering 'third_party/pthreadpool' 2025-08-14T21:27:24.9603644Z Entering 'third_party/pybind11' 2025-08-14T21:27:24.9630534Z Entering 'third_party/python-peachpy' 2025-08-14T21:27:24.9661896Z Entering 'third_party/sleef' 2025-08-14T21:27:24.9690126Z Entering 'third_party/tensorpipe' 2025-08-14T21:27:24.9719540Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:27:24.9741916Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:27:24.9769977Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:27:24.9793472Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:27:24.9833102Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:27:24.9876884Z [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" 2025-08-14T21:27:25.0043212Z Entering 'android/libs/fbjni' 2025-08-14T21:27:25.0065053Z file:/home/runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-08-14T21:27:25.0076064Z Entering 'third_party/FP16' 2025-08-14T21:27:25.0097291Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-08-14T21:27:25.0109295Z Entering 'third_party/FXdiv' 2025-08-14T21:27:25.0131586Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-08-14T21:27:25.0142156Z Entering 'third_party/NNPACK' 2025-08-14T21:27:25.0165569Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config remote.origin.url 2025-08-14T21:27:25.0176288Z Entering 'third_party/NVTX' 2025-08-14T21:27:25.0200888Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config remote.origin.url 2025-08-14T21:27:25.0209979Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T21:27:25.0236455Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config remote.origin.url 2025-08-14T21:27:25.0250840Z Entering 'third_party/XNNPACK' 2025-08-14T21:27:25.0272108Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config remote.origin.url 2025-08-14T21:27:25.0288308Z Entering 'third_party/aiter' 2025-08-14T21:27:25.0309757Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/config remote.origin.url 2025-08-14T21:27:25.0322702Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:27:25.0351603Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config remote.origin.url 2025-08-14T21:27:25.0366049Z Entering 'third_party/benchmark' 2025-08-14T21:27:25.0393443Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config remote.origin.url 2025-08-14T21:27:25.0404234Z Entering 'third_party/composable_kernel' 2025-08-14T21:27:25.0437386Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config remote.origin.url 2025-08-14T21:27:25.0449948Z Entering 'third_party/cpp-httplib' 2025-08-14T21:27:25.0481065Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config remote.origin.url 2025-08-14T21:27:25.0494482Z Entering 'third_party/cpuinfo' 2025-08-14T21:27:25.0527844Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config remote.origin.url 2025-08-14T21:27:25.0540074Z Entering 'third_party/cudnn_frontend' 2025-08-14T21:27:25.0561287Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config remote.origin.url 2025-08-14T21:27:25.0570273Z Entering 'third_party/cutlass' 2025-08-14T21:27:25.0590729Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config remote.origin.url 2025-08-14T21:27:25.0604743Z Entering 'third_party/fbgemm' 2025-08-14T21:27:25.0633539Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config remote.origin.url 2025-08-14T21:27:25.0648588Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T21:27:25.0671327Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/asmjit/config remote.origin.url 2025-08-14T21:27:25.0682938Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:27:25.0704646Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config remote.origin.url 2025-08-14T21:27:25.0718804Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:27:25.0748200Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config remote.origin.url 2025-08-14T21:27:25.0759566Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T21:27:25.0793229Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config remote.origin.url 2025-08-14T21:27:25.0807552Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T21:27:25.0828524Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config remote.origin.url 2025-08-14T21:27:25.0837671Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:27:25.0862754Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config remote.origin.url 2025-08-14T21:27:25.0881485Z Entering 'third_party/fbgemm/external/json' 2025-08-14T21:27:25.0907828Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/json/config remote.origin.url 2025-08-14T21:27:25.0920465Z Entering 'third_party/flash-attention' 2025-08-14T21:27:25.0947291Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/config remote.origin.url 2025-08-14T21:27:25.0958226Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:27:25.0983680Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/composable_kernel/config remote.origin.url 2025-08-14T21:27:25.0996618Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:27:25.1022542Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/cutlass/config remote.origin.url 2025-08-14T21:27:25.1036550Z Entering 'third_party/flatbuffers' 2025-08-14T21:27:25.1069091Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config remote.origin.url 2025-08-14T21:27:25.1081070Z Entering 'third_party/fmt' 2025-08-14T21:27:25.1110813Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fmt/config remote.origin.url 2025-08-14T21:27:25.1121674Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:27:25.1146162Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config remote.origin.url 2025-08-14T21:27:25.1156413Z Entering 'third_party/gloo' 2025-08-14T21:27:25.1178831Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/gloo/config remote.origin.url 2025-08-14T21:27:25.1189795Z Entering 'third_party/googletest' 2025-08-14T21:27:25.1218062Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/googletest/config remote.origin.url 2025-08-14T21:27:25.1229142Z Entering 'third_party/ideep' 2025-08-14T21:27:25.1253029Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/config remote.origin.url 2025-08-14T21:27:25.1263453Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T21:27:25.1287978Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config remote.origin.url 2025-08-14T21:27:25.1302721Z Entering 'third_party/ittapi' 2025-08-14T21:27:25.1329168Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config remote.origin.url 2025-08-14T21:27:25.1345406Z Entering 'third_party/kineto' 2025-08-14T21:27:25.1366350Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/config remote.origin.url 2025-08-14T21:27:25.1377002Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:27:25.1398341Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/config remote.origin.url 2025-08-14T21:27:25.1408789Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:27:25.1432402Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/DCGM/config remote.origin.url 2025-08-14T21:27:25.1442992Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:27:25.1473371Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/cpr/config remote.origin.url 2025-08-14T21:27:25.1486547Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:27:25.1511825Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/fmt/config remote.origin.url 2025-08-14T21:27:25.1529941Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:27:25.1559715Z 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'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:27:25.5620306Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:27:25.5678272Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-08-14T21:27:25.5902419Z Entering 'android/libs/fbjni' 2025-08-14T21:27:25.5936649Z Entering 'third_party/FP16' 2025-08-14T21:27:25.5976267Z Entering 'third_party/FXdiv' 2025-08-14T21:27:25.6002993Z Entering 'third_party/NNPACK' 2025-08-14T21:27:25.6039238Z Entering 'third_party/NVTX' 2025-08-14T21:27:25.6072512Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T21:27:25.6105299Z Entering 'third_party/XNNPACK' 2025-08-14T21:27:25.6138926Z Entering 'third_party/aiter' 2025-08-14T21:27:25.6163040Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:27:25.6199696Z Entering 'third_party/benchmark' 2025-08-14T21:27:25.6226362Z Entering 'third_party/composable_kernel' 2025-08-14T21:27:25.6260217Z Entering 'third_party/cpp-httplib' 2025-08-14T21:27:25.6293894Z Entering 'third_party/cpuinfo' 2025-08-14T21:27:25.6328071Z Entering 'third_party/cudnn_frontend' 2025-08-14T21:27:25.6358210Z Entering 'third_party/cutlass' 2025-08-14T21:27:25.6396530Z Entering 'third_party/fbgemm' 2025-08-14T21:27:25.6422350Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T21:27:25.6458369Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:27:25.6485788Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:27:25.6512881Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T21:27:25.6548994Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T21:27:25.6576402Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:27:25.6608708Z Entering 'third_party/fbgemm/external/json' 2025-08-14T21:27:25.6633717Z Entering 'third_party/flash-attention' 2025-08-14T21:27:25.6670751Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:27:25.6698482Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:27:25.6732866Z Entering 'third_party/flatbuffers' 2025-08-14T21:27:25.6759851Z Entering 'third_party/fmt' 2025-08-14T21:27:25.6794555Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:27:25.6854430Z Entering 'third_party/gloo' 2025-08-14T21:27:25.6880120Z Entering 'third_party/googletest' 2025-08-14T21:27:25.6909753Z Entering 'third_party/ideep' 2025-08-14T21:27:25.6941118Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T21:27:25.6980842Z Entering 'third_party/ittapi' 2025-08-14T21:27:25.7006898Z Entering 'third_party/kineto' 2025-08-14T21:27:25.7039239Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:27:25.7071021Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:27:25.7113374Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:27:25.7152000Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:27:25.7185135Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:27:25.7217463Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:27:25.7252618Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:27:25.7285432Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:27:25.7327816Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:27:25.7357239Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:27:25.7391853Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:27:25.7430033Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:27:25.7460641Z Entering 'third_party/kleidiai' 2025-08-14T21:27:25.7493064Z Entering 'third_party/mimalloc' 2025-08-14T21:27:25.7524064Z Entering 'third_party/nlohmann' 2025-08-14T21:27:25.7550447Z Entering 'third_party/onnx' 2025-08-14T21:27:25.7590719Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T21:27:25.7626926Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T21:27:25.7654331Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:27:25.7678345Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:27:25.7712886Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:27:25.7754308Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:27:25.7777215Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:27:25.7813538Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:27:25.7840518Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:27:25.7862833Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:27:25.7893143Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:27:25.7921037Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:27:25.7951619Z Entering 'third_party/pocketfft' 2025-08-14T21:27:25.7978934Z Entering 'third_party/protobuf' 2025-08-14T21:27:25.8005794Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:27:25.8147773Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T21:27:25.8178323Z Entering 'third_party/psimd' 2025-08-14T21:27:25.8217832Z Entering 'third_party/pthreadpool' 2025-08-14T21:27:25.8254257Z Entering 'third_party/pybind11' 2025-08-14T21:27:25.8278955Z Entering 'third_party/python-peachpy' 2025-08-14T21:27:25.8304226Z Entering 'third_party/sleef' 2025-08-14T21:27:25.8329930Z Entering 'third_party/tensorpipe' 2025-08-14T21:27:25.8359056Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:27:25.8383248Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:27:25.8410705Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:27:25.8436298Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:27:25.8458286Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:27:25.8496526Z ##[endgroup] 2025-08-14T21:27:25.8525316Z [command]/usr/bin/git log -1 --format=%H 2025-08-14T21:27:25.8545382Z 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:27:25.8701759Z Prepare all required actions 2025-08-14T21:27:25.8702072Z Getting action download info 2025-08-14T21:27:26.1112147Z ##[group]Run ./.github/actions/setup-rocm 2025-08-14T21:27:26.1112277Z env: 2025-08-14T21:27:26.1112376Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:26.1112473Z ##[endgroup] 2025-08-14T21:27:26.1123288Z ##[group]Run dpkg -l | grep -E " rocm" 2025-08-14T21:27:26.1123440Z dpkg -l | grep -E " rocm" 2025-08-14T21:27:26.1129145Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:26.1129298Z env: 2025-08-14T21:27:26.1129454Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:26.1129570Z ##[endgroup] 2025-08-14T21:27:26.1194684Z ii rocm-cmake 0.14.0.60401-83~22.04 amd64 rocm-cmake built using CMake 2025-08-14T21:27:26.1194947Z ii rocm-core 6.4.1.60401-83~22.04 amd64 ROCm Runtime software stack 2025-08-14T21:27:26.1195401Z ii rocm-dbgapi 0.77.2.60401-83~22.04 amd64 Library to provide AMD GPU debugger API 2025-08-14T21:27:26.1195666Z ii rocm-debug-agent 2.0.4.60401-83~22.04 amd64 Radeon Open Compute Debug Agent (ROCdebug-agent) 2025-08-14T21:27:26.1195966Z ii rocm-dev 6.4.1.60401-83~22.04 amd64 Radeon Open Compute (ROCm) Runtime software stack 2025-08-14T21:27:26.1196237Z ii rocm-device-libs 1.0.0.60401-83~22.04 amd64 Radeon Open Compute - device libraries 2025-08-14T21:27:26.1196668Z ii rocm-gdb 15.2.60401-83~22.04 amd64 ROCgdb 2025-08-14T21:27:26.1197021Z ii rocm-llvm 19.0.0.25184.60401-83~22.04 amd64 ROCm core compiler 2025-08-14T21:27:26.1197251Z ii rocm-opencl 2.0.0.60401-83~22.04 amd64 clr built using CMake 2025-08-14T21:27:26.1197494Z ii rocm-opencl-dev 2.0.0.60401-83~22.04 amd64 clr built using CMake 2025-08-14T21:27:26.1197789Z ii rocm-smi-lib 7.5.0.60401-83~22.04 amd64 AMD System Management libraries 2025-08-14T21:27:26.1198110Z ii rocm-utils 6.4.1.60401-83~22.04 amd64 Radeon Open Compute (ROCm) Runtime software stack 2025-08-14T21:27:26.1198392Z ii rocminfo 1.0.0.60401-83~22.04 amd64 Radeon Open Compute (ROCm) Runtime rocminfo tool 2025-08-14T21:27:26.1212258Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T21:27:26.1212503Z # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T21:27:26.1212680Z # shellcheck disable=SC2046 2025-08-14T21:27:26.1212843Z docker stop $(docker ps -q) || true 2025-08-14T21:27:26.1212987Z # Prune all stopped containers. 2025-08-14T21:27:26.1213145Z docker container prune -f 2025-08-14T21:27:26.1219102Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:26.1219266Z env: 2025-08-14T21:27:26.1219364Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:26.1219514Z ##[endgroup] 2025-08-14T21:27:26.1472048Z docker: 'docker stop' requires at least 1 argument 2025-08-14T21:27:26.1472226Z 2025-08-14T21:27:26.1472309Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-08-14T21:27:26.1472438Z 2025-08-14T21:27:26.1472525Z See 'docker stop --help' for more information 2025-08-14T21:27:26.1577564Z Total reclaimed space: 0B 2025-08-14T21:27:26.1608354Z ##[group]Run cat /etc/os-release || true 2025-08-14T21:27:26.1608584Z cat /etc/os-release || true 2025-08-14T21:27:26.1608765Z cat /etc/apt/sources.list.d/rocm.list || true 2025-08-14T21:27:26.1608944Z cat /opt/rocm/.info/version || true 2025-08-14T21:27:26.1609092Z whoami 2025-08-14T21:27:26.1615048Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:26.1615231Z env: 2025-08-14T21:27:26.1615334Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:26.1615619Z ##[endgroup] 2025-08-14T21:27:26.1647154Z PRETTY_NAME="Ubuntu 22.04.5 LTS" 2025-08-14T21:27:26.1647317Z NAME="Ubuntu" 2025-08-14T21:27:26.1647465Z VERSION_ID="22.04" 2025-08-14T21:27:26.1647617Z VERSION="22.04.5 LTS (Jammy Jellyfish)" 2025-08-14T21:27:26.1658686Z VERSION_CODENAME=jammy 2025-08-14T21:27:26.1658818Z ID=ubuntu 2025-08-14T21:27:26.1658899Z ID_LIKE=debian 2025-08-14T21:27:26.1659019Z HOME_URL="https://www.ubuntu.com/" 2025-08-14T21:27:26.1659151Z SUPPORT_URL="https://help.ubuntu.com/" 2025-08-14T21:27:26.1659300Z BUG_REPORT_URL="https://bugs.launchpad.net/ubuntu/" 2025-08-14T21:27:26.1659503Z PRIVACY_POLICY_URL="https://www.ubuntu.com/legal/terms-and-policies/privacy-policy" 2025-08-14T21:27:26.1659678Z UBUNTU_CODENAME=jammy 2025-08-14T21:27:26.1659867Z deb [arch=amd64 signed-by=/etc/apt/keyrings/rocm.gpg] https://repo.radeon.com/rocm/apt/6.4.1 jammy main 2025-08-14T21:27:26.1662477Z 6.4.1-83 2025-08-14T21:27:26.1669816Z runner 2025-08-14T21:27:26.1686411Z ##[group]Run dpkg -l | grep -E " amdgpu" 2025-08-14T21:27:26.1686594Z dpkg -l | grep -E " amdgpu" 2025-08-14T21:27:26.1692347Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:26.1692511Z env: 2025-08-14T21:27:26.1692626Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:26.1692773Z ##[endgroup] 2025-08-14T21:27:26.1754870Z ii amdgpu-core 1:6.4.60401-2164967.22.04 all Core meta package for unified amdgpu driver. 2025-08-14T21:27:26.1755150Z ii amdgpu-install 6.4.60401-2164967.22.04 all AMDGPU driver repository and installer 2025-08-14T21:27:26.1781516Z ##[group]Run rocm-smi 2025-08-14T21:27:26.1781680Z rocm-smi 2025-08-14T21:27:26.1787080Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:26.1787233Z env: 2025-08-14T21:27:26.1787332Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:26.1787460Z ##[endgroup] 2025-08-14T21:27:26.2244726Z 2025-08-14T21:27:26.2244826Z 2025-08-14T21:27:26.2245000Z ============================================ ROCm System Management Interface ============================================ 2025-08-14T21:27:26.2245242Z ====================================================== Concise Info ====================================================== 2025-08-14T21:27:26.2245480Z Device Node IDs Temp Power Partitions SCLK MCLK Fan Perf PwrCap VRAM% GPU% 2025-08-14T21:27:26.2246061Z  (DID, GUID) (Junction) (Socket) (Mem, Compute, ID)  2025-08-14T21:27:26.2246258Z ========================================================================================================================== 2025-08-14T21:27:26.2246764Z 0 9 0x74b9, 43855 47.0°C 147.0W NPS1, SPX, 0 132Mhz 900Mhz 0% auto 1000.0W 0% 0% 2025-08-14T21:27:26.2246994Z ========================================================================================================================== 2025-08-14T21:27:26.2247994Z ================================================== End of ROCm SMI Log =================================================== 2025-08-14T21:27:26.2307082Z ##[group]Run rocminfo 2025-08-14T21:27:26.2307225Z rocminfo 2025-08-14T21:27:26.2312123Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:26.2312280Z env: 2025-08-14T21:27:26.2312374Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:26.2312487Z ##[endgroup] 2025-08-14T21:27:26.3003874Z ROCk module version 6.12.12 is loaded 2025-08-14T21:27:26.3004042Z ===================== 2025-08-14T21:27:26.3004377Z HSA System Attributes 2025-08-14T21:27:26.3004514Z ===================== 2025-08-14T21:27:26.3004629Z Runtime Version: 1.15 2025-08-14T21:27:26.3004743Z Runtime Ext Version: 1.7 2025-08-14T21:27:26.3005096Z System Timestamp Freq.: 1000.000000MHz 2025-08-14T21:27:26.3005280Z Sig. Max Wait Duration: 18446744073709551615 (0xFFFFFFFFFFFFFFFF) (timestamp count) 2025-08-14T21:27:26.3005487Z Machine Model: LARGE 2025-08-14T21:27:26.3005660Z System Endianness: LITTLE 2025-08-14T21:27:26.3005796Z Mwaitx: DISABLED 2025-08-14T21:27:26.3005915Z XNACK enabled: NO 2025-08-14T21:27:26.3006019Z DMAbuf Support: YES 2025-08-14T21:27:26.3006221Z VMM Support: YES 2025-08-14T21:27:26.3006313Z 2025-08-14T21:27:26.3006358Z ========== 2025-08-14T21:27:26.3006681Z HSA Agents 2025-08-14T21:27:26.3006841Z ========== 2025-08-14T21:27:26.3006960Z ******* 2025-08-14T21:27:26.3007061Z Agent 1 2025-08-14T21:27:26.3007156Z ******* 2025-08-14T21:27:26.3007286Z Name: AMD EPYC 9575F 64-Core Processor 2025-08-14T21:27:26.3007494Z Uuid: CPU-XX 2025-08-14T21:27:26.3007651Z Marketing Name: AMD EPYC 9575F 64-Core Processor 2025-08-14T21:27:26.3007823Z Vendor Name: CPU 2025-08-14T21:27:26.3008109Z Feature: None specified 2025-08-14T21:27:26.3008255Z Profile: FULL_PROFILE 2025-08-14T21:27:26.3008398Z Float Round Mode: NEAR 2025-08-14T21:27:26.3008553Z Max Queue Number: 0(0x0) 2025-08-14T21:27:26.3008697Z Queue Min Size: 0(0x0) 2025-08-14T21:27:26.3008848Z Queue Max Size: 0(0x0) 2025-08-14T21:27:26.3008989Z Queue Type: MULTI 2025-08-14T21:27:26.3009133Z Node: 0 2025-08-14T21:27:26.3009282Z Device Type: CPU 2025-08-14T21:27:26.3009417Z Cache Info: 2025-08-14T21:27:26.3009540Z L1: 65536(0x10000) KB 2025-08-14T21:27:26.3009678Z Chip ID: 0(0x0) 2025-08-14T21:27:26.3009830Z ASIC Revision: 0(0x0) 2025-08-14T21:27:26.3009977Z Cacheline Size: 64(0x40) 2025-08-14T21:27:26.3010129Z Max Clock Freq. (MHz): 0 2025-08-14T21:27:26.3010273Z BDFID: 0 2025-08-14T21:27:26.3010413Z Internal Node ID: 0 2025-08-14T21:27:26.3010566Z Compute Unit: 80 2025-08-14T21:27:26.3010706Z SIMDs per CU: 0 2025-08-14T21:27:26.3010857Z Shader Engines: 0 2025-08-14T21:27:26.3011010Z Shader Arrs. per Eng.: 0 2025-08-14T21:27:26.3018580Z WatchPts on Addr. Ranges:1 2025-08-14T21:27:26.3018735Z Memory Properties: 2025-08-14T21:27:26.3019134Z Features: None 2025-08-14T21:27:26.3019248Z Pool Info: 2025-08-14T21:27:26.3019349Z Pool 1 2025-08-14T21:27:26.3019484Z Segment: GLOBAL; FLAGS: FINE GRAINED 2025-08-14T21:27:26.3019682Z Size: 660508064(0x275e8da0) KB 2025-08-14T21:27:26.3019833Z Allocatable: TRUE 2025-08-14T21:27:26.3019985Z Alloc Granule: 4KB 2025-08-14T21:27:26.3020147Z Alloc Recommended Granule:4KB 2025-08-14T21:27:26.3020307Z Alloc Alignment: 4KB 2025-08-14T21:27:26.3020570Z Accessible by all: TRUE 2025-08-14T21:27:26.3020705Z Pool 2 2025-08-14T21:27:26.3020828Z Segment: GLOBAL; FLAGS: EXTENDED FINE GRAINED 2025-08-14T21:27:26.3020980Z Size: 660508064(0x275e8da0) KB 2025-08-14T21:27:26.3021116Z Allocatable: TRUE 2025-08-14T21:27:26.3021264Z Alloc Granule: 4KB 2025-08-14T21:27:26.3021422Z Alloc Recommended Granule:4KB 2025-08-14T21:27:26.3021580Z Alloc Alignment: 4KB 2025-08-14T21:27:26.3021737Z Accessible by all: TRUE 2025-08-14T21:27:26.3021869Z Pool 3 2025-08-14T21:27:26.3021995Z Segment: GLOBAL; FLAGS: KERNARG, FINE GRAINED 2025-08-14T21:27:26.3022141Z Size: 660508064(0x275e8da0) KB 2025-08-14T21:27:26.3022288Z Allocatable: TRUE 2025-08-14T21:27:26.3022437Z Alloc Granule: 4KB 2025-08-14T21:27:26.3022601Z Alloc Recommended Granule:4KB 2025-08-14T21:27:26.3022762Z Alloc Alignment: 4KB 2025-08-14T21:27:26.3022914Z Accessible by all: TRUE 2025-08-14T21:27:26.3023049Z Pool 4 2025-08-14T21:27:26.3023168Z Segment: GLOBAL; FLAGS: COARSE GRAINED 2025-08-14T21:27:26.3023314Z Size: 660508064(0x275e8da0) KB 2025-08-14T21:27:26.3023451Z Allocatable: TRUE 2025-08-14T21:27:26.3023594Z Alloc Granule: 4KB 2025-08-14T21:27:26.3023747Z Alloc Recommended Granule:4KB 2025-08-14T21:27:26.3023897Z Alloc Alignment: 4KB 2025-08-14T21:27:26.3024046Z Accessible by all: TRUE 2025-08-14T21:27:26.3024175Z ISA Info: 2025-08-14T21:27:26.3024269Z ******* 2025-08-14T21:27:26.3024362Z Agent 2 2025-08-14T21:27:26.3024452Z ******* 2025-08-14T21:27:26.3024559Z Name: AMD EPYC 9575F 64-Core Processor 2025-08-14T21:27:26.3024694Z Uuid: CPU-XX 2025-08-14T21:27:26.3024839Z Marketing Name: AMD EPYC 9575F 64-Core Processor 2025-08-14T21:27:26.3024985Z Vendor Name: CPU 2025-08-14T21:27:26.3025129Z Feature: None specified 2025-08-14T21:27:26.3025270Z Profile: FULL_PROFILE 2025-08-14T21:27:26.3025419Z Float Round Mode: NEAR 2025-08-14T21:27:26.3025561Z Max Queue Number: 0(0x0) 2025-08-14T21:27:26.3025708Z Queue Min Size: 0(0x0) 2025-08-14T21:27:26.3025890Z Queue Max Size: 0(0x0) 2025-08-14T21:27:26.3026032Z Queue Type: MULTI 2025-08-14T21:27:26.3026170Z Node: 1 2025-08-14T21:27:26.3026305Z Device Type: CPU 2025-08-14T21:27:26.3026430Z Cache Info: 2025-08-14T21:27:26.3026539Z L1: 65536(0x10000) KB 2025-08-14T21:27:26.3026666Z Chip ID: 0(0x0) 2025-08-14T21:27:26.3026801Z ASIC Revision: 0(0x0) 2025-08-14T21:27:26.3026974Z Cacheline Size: 64(0x40) 2025-08-14T21:27:26.3027122Z Max Clock Freq. (MHz): 0 2025-08-14T21:27:26.3027255Z BDFID: 0 2025-08-14T21:27:26.3027393Z Internal Node ID: 1 2025-08-14T21:27:26.3027537Z Compute Unit: 80 2025-08-14T21:27:26.3027677Z SIMDs per CU: 0 2025-08-14T21:27:26.3027820Z Shader Engines: 0 2025-08-14T21:27:26.3028123Z Shader Arrs. per Eng.: 0 2025-08-14T21:27:26.3028282Z WatchPts on Addr. Ranges:1 2025-08-14T21:27:26.3028419Z Memory Properties: 2025-08-14T21:27:26.3028527Z Features: None 2025-08-14T21:27:26.3028626Z Pool Info: 2025-08-14T21:27:26.3028723Z Pool 1 2025-08-14T21:27:26.3028850Z Segment: GLOBAL; FLAGS: FINE GRAINED 2025-08-14T21:27:26.3028994Z Size: 660522872(0x275ec778) KB 2025-08-14T21:27:26.3029136Z Allocatable: TRUE 2025-08-14T21:27:26.3029286Z Alloc Granule: 4KB 2025-08-14T21:27:26.3029443Z Alloc Recommended Granule:4KB 2025-08-14T21:27:26.3029593Z Alloc Alignment: 4KB 2025-08-14T21:27:26.3029744Z Accessible by all: TRUE 2025-08-14T21:27:26.3029872Z Pool 2 2025-08-14T21:27:26.3029994Z Segment: GLOBAL; FLAGS: EXTENDED FINE GRAINED 2025-08-14T21:27:26.3030136Z Size: 660522872(0x275ec778) KB 2025-08-14T21:27:26.3030272Z Allocatable: TRUE 2025-08-14T21:27:26.3030424Z Alloc Granule: 4KB 2025-08-14T21:27:26.3030576Z Alloc Recommended Granule:4KB 2025-08-14T21:27:26.3030732Z Alloc Alignment: 4KB 2025-08-14T21:27:26.3030881Z Accessible by all: TRUE 2025-08-14T21:27:26.3031011Z Pool 3 2025-08-14T21:27:26.3031131Z Segment: GLOBAL; FLAGS: KERNARG, FINE GRAINED 2025-08-14T21:27:26.3031267Z Size: 660522872(0x275ec778) KB 2025-08-14T21:27:26.3031406Z Allocatable: TRUE 2025-08-14T21:27:26.3031550Z Alloc Granule: 4KB 2025-08-14T21:27:26.3031705Z Alloc Recommended Granule:4KB 2025-08-14T21:27:26.3031856Z Alloc Alignment: 4KB 2025-08-14T21:27:26.3032008Z Accessible by all: TRUE 2025-08-14T21:27:26.3032137Z Pool 4 2025-08-14T21:27:26.3032252Z Segment: GLOBAL; FLAGS: COARSE GRAINED 2025-08-14T21:27:26.3032459Z Size: 660522872(0x275ec778) KB 2025-08-14T21:27:26.3032594Z Allocatable: TRUE 2025-08-14T21:27:26.3032743Z Alloc Granule: 4KB 2025-08-14T21:27:26.3032923Z Alloc Recommended Granule:4KB 2025-08-14T21:27:26.3033121Z Alloc Alignment: 4KB 2025-08-14T21:27:26.3033293Z Accessible by all: TRUE 2025-08-14T21:27:26.3033529Z ISA Info: 2025-08-14T21:27:26.3033645Z ******* 2025-08-14T21:27:26.3033768Z Agent 3 2025-08-14T21:27:26.3033907Z ******* 2025-08-14T21:27:26.3034084Z Name: gfx942 2025-08-14T21:27:26.3034242Z Uuid: GPU-7cab631a1082f650 2025-08-14T21:27:26.3034449Z Marketing Name: AMD Instinct Mi325X VF 2025-08-14T21:27:26.3034625Z Vendor Name: AMD 2025-08-14T21:27:26.3037425Z Feature: KERNEL_DISPATCH 2025-08-14T21:27:26.3037584Z Profile: BASE_PROFILE 2025-08-14T21:27:26.3037727Z Float Round Mode: NEAR 2025-08-14T21:27:26.3038131Z Max Queue Number: 128(0x80) 2025-08-14T21:27:26.3038275Z Queue Min Size: 64(0x40) 2025-08-14T21:27:26.3038415Z Queue Max Size: 131072(0x20000) 2025-08-14T21:27:26.3038553Z Queue Type: MULTI 2025-08-14T21:27:26.3038690Z Node: 2 2025-08-14T21:27:26.3038821Z Device Type: GPU 2025-08-14T21:27:26.3038944Z Cache Info: 2025-08-14T21:27:26.3039054Z L1: 32(0x20) KB 2025-08-14T21:27:26.3039179Z L2: 4096(0x1000) KB 2025-08-14T21:27:26.3039298Z L3: 262144(0x40000) KB 2025-08-14T21:27:26.3040901Z Chip ID: 29881(0x74b9) 2025-08-14T21:27:26.3041036Z ASIC Revision: 1(0x1) 2025-08-14T21:27:26.3041175Z Cacheline Size: 128(0x80) 2025-08-14T21:27:26.3041313Z Max Clock Freq. (MHz): 2100 2025-08-14T21:27:26.3041443Z BDFID: 33536 2025-08-14T21:27:26.3041577Z Internal Node ID: 2 2025-08-14T21:27:26.3041711Z Compute Unit: 304 2025-08-14T21:27:26.3041845Z SIMDs per CU: 4 2025-08-14T21:27:26.3041985Z Shader Engines: 32 2025-08-14T21:27:26.3042126Z Shader Arrs. per Eng.: 1 2025-08-14T21:27:26.3042270Z WatchPts on Addr. Ranges:4 2025-08-14T21:27:26.3042415Z Coherent Host Access: FALSE 2025-08-14T21:27:26.3047558Z Memory Properties: 2025-08-14T21:27:26.3047671Z Features: KERNEL_DISPATCH 2025-08-14T21:27:26.3047806Z Fast F16 Operation: TRUE 2025-08-14T21:27:26.3048021Z Wavefront Size: 64(0x40) 2025-08-14T21:27:26.3048164Z Workgroup Max Size: 1024(0x400) 2025-08-14T21:27:26.3048299Z Workgroup Max Size per Dimension: 2025-08-14T21:27:26.3048414Z x 1024(0x400) 2025-08-14T21:27:26.3048531Z y 1024(0x400) 2025-08-14T21:27:26.3048724Z z 1024(0x400) 2025-08-14T21:27:26.3048853Z Max Waves Per CU: 32(0x20) 2025-08-14T21:27:26.3048998Z Max Work-item Per CU: 2048(0x800) 2025-08-14T21:27:26.3049137Z Grid Max Size: 4294967295(0xffffffff) 2025-08-14T21:27:26.3050479Z Grid Max Size per Dimension: 2025-08-14T21:27:26.3050587Z x 4294967295(0xffffffff) 2025-08-14T21:27:26.3050704Z y 4294967295(0xffffffff) 2025-08-14T21:27:26.3050817Z z 4294967295(0xffffffff) 2025-08-14T21:27:26.3050951Z Max fbarriers/Workgrp: 32 2025-08-14T21:27:26.3055372Z Packet Processor uCode:: 177 2025-08-14T21:27:26.3055624Z SDMA engine uCode:: 24 2025-08-14T21:27:26.3055779Z IOMMU Support:: None 2025-08-14T21:27:26.3055910Z Pool Info: 2025-08-14T21:27:26.3056008Z Pool 1 2025-08-14T21:27:26.3056131Z Segment: GLOBAL; FLAGS: COARSE GRAINED 2025-08-14T21:27:26.3058082Z Size: 268107776(0xffb0000) KB 2025-08-14T21:27:26.3058228Z Allocatable: TRUE 2025-08-14T21:27:26.3058371Z Alloc Granule: 4KB 2025-08-14T21:27:26.3058521Z Alloc Recommended Granule:2048KB 2025-08-14T21:27:26.3058670Z Alloc Alignment: 4KB 2025-08-14T21:27:26.3058835Z Accessible by all: FALSE 2025-08-14T21:27:26.3058974Z Pool 2 2025-08-14T21:27:26.3059092Z Segment: GLOBAL; FLAGS: EXTENDED FINE GRAINED 2025-08-14T21:27:26.3059234Z Size: 268107776(0xffb0000) KB 2025-08-14T21:27:26.3059374Z Allocatable: TRUE 2025-08-14T21:27:26.3059516Z Alloc Granule: 4KB 2025-08-14T21:27:26.3059661Z Alloc Recommended Granule:2048KB 2025-08-14T21:27:26.3060809Z Alloc Alignment: 4KB 2025-08-14T21:27:26.3060960Z Accessible by all: FALSE 2025-08-14T21:27:26.3061086Z Pool 3 2025-08-14T21:27:26.3061200Z Segment: GLOBAL; FLAGS: FINE GRAINED 2025-08-14T21:27:26.3061332Z Size: 268107776(0xffb0000) KB 2025-08-14T21:27:26.3061465Z Allocatable: TRUE 2025-08-14T21:27:26.3061604Z Alloc Granule: 4KB 2025-08-14T21:27:26.3061753Z Alloc Recommended Granule:2048KB 2025-08-14T21:27:26.3061903Z Alloc Alignment: 4KB 2025-08-14T21:27:26.3062045Z Accessible by all: FALSE 2025-08-14T21:27:26.3062170Z Pool 4 2025-08-14T21:27:26.3062278Z Segment: GROUP 2025-08-14T21:27:26.3062405Z Size: 64(0x40) KB 2025-08-14T21:27:26.3063426Z Allocatable: FALSE 2025-08-14T21:27:26.3063569Z Alloc Granule: 0KB 2025-08-14T21:27:26.3063717Z Alloc Recommended Granule:0KB 2025-08-14T21:27:26.3063867Z Alloc Alignment: 0KB 2025-08-14T21:27:26.3064010Z Accessible by all: FALSE 2025-08-14T21:27:26.3064134Z ISA Info: 2025-08-14T21:27:26.3064310Z ISA 1 2025-08-14T21:27:26.3064430Z Name: amdgcn-amd-amdhsa--gfx942:sramecc+:xnack- 2025-08-14T21:27:26.3064582Z Machine Models: HSA_MACHINE_MODEL_LARGE 2025-08-14T21:27:26.3064728Z Profiles: HSA_PROFILE_BASE 2025-08-14T21:27:26.3064872Z Default Rounding Mode: NEAR 2025-08-14T21:27:26.3065021Z Default Rounding Mode: NEAR 2025-08-14T21:27:26.3066025Z Fast f16: TRUE 2025-08-14T21:27:26.3066168Z Workgroup Max Size: 1024(0x400) 2025-08-14T21:27:26.3066358Z Workgroup Max Size per Dimension: 2025-08-14T21:27:26.3066477Z x 1024(0x400) 2025-08-14T21:27:26.3066596Z y 1024(0x400) 2025-08-14T21:27:26.3066716Z z 1024(0x400) 2025-08-14T21:27:26.3066843Z Grid Max Size: 4294967295(0xffffffff) 2025-08-14T21:27:26.3066967Z Grid Max Size per Dimension: 2025-08-14T21:27:26.3067076Z x 4294967295(0xffffffff) 2025-08-14T21:27:26.3067193Z y 4294967295(0xffffffff) 2025-08-14T21:27:26.3067308Z z 4294967295(0xffffffff) 2025-08-14T21:27:26.3067439Z FBarrier Max Size: 32 2025-08-14T21:27:26.3067560Z ISA 2 2025-08-14T21:27:26.3068764Z Name: amdgcn-amd-amdhsa--gfx9-4-generic:sramecc+:xnack- 2025-08-14T21:27:26.3068928Z Machine Models: HSA_MACHINE_MODEL_LARGE 2025-08-14T21:27:26.3069076Z Profiles: HSA_PROFILE_BASE 2025-08-14T21:27:26.3069221Z Default Rounding Mode: NEAR 2025-08-14T21:27:26.3069373Z Default Rounding Mode: NEAR 2025-08-14T21:27:26.3069512Z Fast f16: TRUE 2025-08-14T21:27:26.3069649Z Workgroup Max Size: 1024(0x400) 2025-08-14T21:27:26.3069782Z Workgroup Max Size per Dimension: 2025-08-14T21:27:26.3069896Z x 1024(0x400) 2025-08-14T21:27:26.3070010Z y 1024(0x400) 2025-08-14T21:27:26.3070124Z z 1024(0x400) 2025-08-14T21:27:26.3070251Z Grid Max Size: 4294967295(0xffffffff) 2025-08-14T21:27:26.3071254Z Grid Max Size per Dimension: 2025-08-14T21:27:26.3071363Z x 4294967295(0xffffffff) 2025-08-14T21:27:26.3071481Z y 4294967295(0xffffffff) 2025-08-14T21:27:26.3071600Z z 4294967295(0xffffffff) 2025-08-14T21:27:26.3071730Z FBarrier Max Size: 32 2025-08-14T21:27:26.3071852Z *** Done *** 2025-08-14T21:27:26.3089667Z ##[group]Run ngpu=$(rocminfo | grep -c -E 'Name:.*\sgfx') 2025-08-14T21:27:26.3089851Z ngpu=$(rocminfo | grep -c -E 'Name:.*\sgfx') 2025-08-14T21:27:26.3090121Z 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" 2025-08-14T21:27:26.3090372Z if [[ $ngpu -eq 0 ]]; then 2025-08-14T21:27:26.3090512Z  echo "Error: Failed to detect any GPUs on the runner" 2025-08-14T21:27:26.3090647Z  echo "$msg" 2025-08-14T21:27:26.3090740Z  exit 1 2025-08-14T21:27:26.3090826Z fi 2025-08-14T21:27:26.3096278Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:26.3096490Z env: 2025-08-14T21:27:26.3096573Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:26.3096671Z ##[endgroup] 2025-08-14T21:27:26.3823095Z ##[group]Run pytorch/pytorch/.github/actions/diskspace-cleanup@main 2025-08-14T21:27:26.3823249Z with: 2025-08-14T21:27:26.3823331Z diskspace-cutoff: 70 2025-08-14T21:27:26.3823416Z env: 2025-08-14T21:27:26.3823493Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:26.3823585Z ##[endgroup] 2025-08-14T21:27:26.3848058Z ##[group]Run set -ex 2025-08-14T21:27:26.3848172Z set -ex 2025-08-14T21:27:26.3848262Z diskspace_cutoff=70 2025-08-14T21:27:26.3848400Z docker_root_dir=$(docker info -f '{{.DockerRootDir}}') 2025-08-14T21:27:26.3848684Z if [ ! -d "$docker_root_dir" ]; then 2025-08-14T21:27:26.3848876Z  echo "Docker root directory ($docker_root_dir) does not exist. Skipping disk space check." 2025-08-14T21:27:26.3849051Z  exit 0 2025-08-14T21:27:26.3849131Z fi 2025-08-14T21:27:26.3849292Z diskspace=$(df -H --output=pcent ${docker_root_dir} | sed -n 2p | sed 's/%//' | sed 's/ //') 2025-08-14T21:27:26.3851987Z msg="Please file an issue on pytorch/pytorch reporting the faulty runner. Include a link to the runner logs so the runner can be identified" 2025-08-14T21:27:26.3852255Z if [[ "$diskspace" -ge "$diskspace_cutoff" ]] ; then 2025-08-14T21:27:26.3852392Z  docker system prune -af 2025-08-14T21:27:26.3852572Z  diskspace_new=$(df -H --output=pcent ${docker_root_dir} | sed -n 2p | sed 's/%//' | sed 's/ //') 2025-08-14T21:27:26.3852772Z  if [[ "$diskspace_new" -gt "$diskspace_cutoff" ]] ; then 2025-08-14T21:27:26.3853120Z  echo "Error: Available diskspace is less than $diskspace_cutoff percent. Not enough diskspace." 2025-08-14T21:27:26.3853303Z  echo "$msg" 2025-08-14T21:27:26.3853397Z  exit 1 2025-08-14T21:27:26.3853481Z  else 2025-08-14T21:27:26.3853585Z  difference=$((diskspace - diskspace_new)) 2025-08-14T21:27:26.3853731Z  echo "Diskspace saved: $difference percent" 2025-08-14T21:27:26.3853847Z  fi 2025-08-14T21:27:26.3856025Z fi 2025-08-14T21:27:26.3860443Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:26.3860574Z env: 2025-08-14T21:27:26.3860653Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:26.3860748Z ##[endgroup] 2025-08-14T21:27:26.3877814Z + diskspace_cutoff=70 2025-08-14T21:27:26.3881101Z ++ docker info -f '{{.DockerRootDir}}' 2025-08-14T21:27:26.4284817Z + docker_root_dir=/home/runner/docker-data 2025-08-14T21:27:26.4285998Z + '[' '!' -d /home/runner/docker-data ']' 2025-08-14T21:27:26.4287251Z ++ df -H --output=pcent /home/runner/docker-data 2025-08-14T21:27:26.4287441Z ++ sed -n 2p 2025-08-14T21:27:26.4290344Z ++ sed s/%// 2025-08-14T21:27:26.4291342Z ++ sed 's/ //' 2025-08-14T21:27:26.4305061Z + diskspace=' 9' 2025-08-14T21:27:26.4305563Z + msg='Please file an issue on pytorch/pytorch reporting the faulty runner. Include a link to the runner logs so the runner can be identified' 2025-08-14T21:27:26.4305825Z + [[ 9 -ge 70 ]] 2025-08-14T21:27:26.4332174Z ##[group]Run RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts" 2025-08-14T21:27:26.4332419Z RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts" 2025-08-14T21:27:26.4332570Z rm -rf "${RUNNER_ARTIFACT_DIR}" 2025-08-14T21:27:26.4332706Z mkdir -p "${RUNNER_ARTIFACT_DIR}" 2025-08-14T21:27:26.4332873Z echo "RUNNER_ARTIFACT_DIR=${RUNNER_ARTIFACT_DIR}" >> "${GITHUB_ENV}" 2025-08-14T21:27:26.4333027Z  2025-08-14T21:27:26.4333150Z RUNNER_TEST_RESULTS_DIR="${RUNNER_TEMP}/test-results" 2025-08-14T21:27:26.4340463Z rm -rf "${RUNNER_TEST_RESULTS_DIR}" 2025-08-14T21:27:26.4340614Z mkdir -p "${RUNNER_TEST_RESULTS_DIR}" 2025-08-14T21:27:26.4340787Z echo "RUNNER_TEST_RESULTS_DIR=${RUNNER_TEST_RESULTS_DIR}" >> "${GITHUB_ENV}" 2025-08-14T21:27:26.4341142Z  2025-08-14T21:27:26.4341233Z RUNNER_DOCS_DIR="${RUNNER_TEMP}/docs" 2025-08-14T21:27:26.4341362Z rm -rf "${RUNNER_DOCS_DIR}" 2025-08-14T21:27:26.4341484Z mkdir -p "${RUNNER_DOCS_DIR}" 2025-08-14T21:27:26.4341633Z echo "RUNNER_DOCS_DIR=${RUNNER_DOCS_DIR}" >> "${GITHUB_ENV}" 2025-08-14T21:27:26.4347264Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:26.4347402Z env: 2025-08-14T21:27:26.4347494Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:26.4350270Z ##[endgroup] 2025-08-14T21:27:26.4426524Z ##[group]Run env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:27:26.4426879Z env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:27:26.4427059Z env | grep '^CI' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:27:26.4431542Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:26.4431693Z env: 2025-08-14T21:27:26.4431771Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:26.4433957Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:27:26.4434122Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:27:26.4434272Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:27:26.4434387Z ##[endgroup] 2025-08-14T21:27:26.4489545Z ##[group]Run # All GPUs are visible to the runner; visibility, if needed, will be set by run_test.py. 2025-08-14T21:27:26.4491794Z # All GPUs are visible to the runner; visibility, if needed, will be set by run_test.py. 2025-08-14T21:27:26.4491993Z # Add render group for container creation. 2025-08-14T21:27:26.4492157Z render_gid=`cat /etc/group | grep render | cut -d: -f3` 2025-08-14T21:27:26.4492345Z # Ensure GPU isolation if pod is part of kubernetes setup with DEVICE_FLAG. 2025-08-14T21:27:26.4492533Z if [ -f "/etc/podinfo/gha-render-devices" ]; then 2025-08-14T21:27:26.4492694Z  DEVICE_FLAG=$(cat /etc/podinfo/gha-render-devices) 2025-08-14T21:27:26.4492823Z else 2025-08-14T21:27:26.4492913Z  DEVICE_FLAG="--device /dev/dri" 2025-08-14T21:27:26.4493021Z fi 2025-08-14T21:27:26.4493191Z # The --group-add daemon and --group-add bin are needed in the Ubuntu 24.04 and Almalinux OSs respectively. 2025-08-14T21:27:26.4493452Z # This is due to the device files (/dev/kfd & /dev/dri) being owned by video group on bare metal. 2025-08-14T21:27:26.4493693Z # This video group ID maps to subgid 1 inside the docker image due to the /etc/subgid entries. 2025-08-14T21:27:26.4495856Z # The group name corresponding to group ID 1 can change depending on the OS, so both are necessary. 2025-08-14T21:27:26.4496299Z 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}" 2025-08-14T21:27:26.4500471Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:26.4500601Z env: 2025-08-14T21:27:26.4500681Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:26.4500802Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:27:26.4500963Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:27:26.4501115Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:27:26.4501229Z ##[endgroup] 2025-08-14T21:27:26.4587312Z ##[group]Run aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722 2025-08-14T21:27:26.4587515Z with: 2025-08-14T21:27:26.4587651Z role-to-assume: arn:aws:iam::308535385114:role/gha_workflow_s3_and_ecr_read_only 2025-08-14T21:27:26.4587820Z aws-region: us-east-1 2025-08-14T21:27:26.4588046Z role-duration-seconds: 18000 2025-08-14T21:27:26.4588164Z audience: sts.amazonaws.com 2025-08-14T21:27:26.4588266Z env: 2025-08-14T21:27:26.4588479Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:26.4588607Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:27:26.4588772Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:27:26.4588932Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:27:26.4589321Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:27:26.4589678Z ##[endgroup] 2025-08-14T21:27:26.6468063Z Assuming role with OIDC 2025-08-14T21:27:26.8416337Z Authenticated as assumedRoleId AROAUPVRELQNLLCOPFEJR:GitHubActions 2025-08-14T21:27:26.8837471Z ##[group]Run aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076 2025-08-14T21:27:26.8837671Z with: 2025-08-14T21:27:26.8837757Z mask-password: true 2025-08-14T21:27:26.8837858Z registry-type: private 2025-08-14T21:27:26.8838192Z skip-logout: false 2025-08-14T21:27:26.8838283Z env: 2025-08-14T21:27:26.8838367Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:26.8838495Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:27:26.8838661Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:27:26.8838817Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:27:26.8839467Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:27:26.8839834Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:27:26.8839981Z AWS_REGION: us-east-1 2025-08-14T21:27:26.8840467Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:27:26.8840618Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:27:26.8842656Z AWS_SESSION_TOKEN: *** 2025-08-14T21:27:26.8842762Z ##[endgroup] 2025-08-14T21:27:27.2164642Z Logging into registry 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:27.5190923Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-08-14T21:27:27.5191151Z with: 2025-08-14T21:27:27.5191481Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:27.5191851Z use-custom-docker-registry: true 2025-08-14T21:27:27.5192013Z docker-build-dir: .ci/docker 2025-08-14T21:27:27.5192164Z docker-build-script: ./build.sh 2025-08-14T21:27:27.5192325Z working-directory: . 2025-08-14T21:27:27.5192493Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:27.5192688Z force-push: false 2025-08-14T21:27:27.5192814Z env: 2025-08-14T21:27:27.5192929Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:27.5193117Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:27:27.5193318Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:27:27.5193572Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:27:27.5193984Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:27:27.5194375Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:27:27.5194541Z AWS_REGION: us-east-1 2025-08-14T21:27:27.5194780Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:27:27.5194970Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:27:27.5197073Z AWS_SESSION_TOKEN: *** 2025-08-14T21:27:27.5197197Z ##[endgroup] 2025-08-14T21:27:27.5211738Z ##[group]Run set -ex 2025-08-14T21:27:27.5211860Z set -ex 2025-08-14T21:27:27.5211950Z  2025-08-14T21:27:27.5212097Z # If the docker build directory or the build script doesn't exist, the action will 2025-08-14T21:27:27.5212332Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-08-14T21:27:27.5212667Z # job could then download the pre-built image as usual 2025-08-14T21:27:27.5212913Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-08-14T21:27:27.5213141Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-08-14T21:27:27.5213265Z else 2025-08-14T21:27:27.5213370Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:27:27.5213535Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:27:27.5213679Z  2025-08-14T21:27:27.5213879Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-08-14T21:27:27.5214101Z  exit 0 2025-08-14T21:27:27.5214189Z fi 2025-08-14T21:27:27.5214269Z  2025-08-14T21:27:27.5214397Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-08-14T21:27:27.5214619Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-08-14T21:27:27.5214808Z  # use it as it is, but first let's extract the tag 2025-08-14T21:27:27.5214987Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-08-14T21:27:27.5215173Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:27:27.5215350Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:27:27.5215568Z else 2025-08-14T21:27:27.5215672Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-08-14T21:27:27.5215818Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-08-14T21:27:27.5215966Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-08-14T21:27:27.5216086Z  fi 2025-08-14T21:27:27.5216336Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-08-14T21:27:27.5216559Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:27:27.5216791Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:27:27.5217040Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:27:27.5217195Z fi 2025-08-14T21:27:27.5223338Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:27.5223477Z env: 2025-08-14T21:27:27.5223568Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:27.5223697Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:27:27.5223869Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:27:27.5224031Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:27:27.5224407Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:27:27.5224774Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:27:27.5224885Z AWS_REGION: us-east-1 2025-08-14T21:27:27.5225026Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:27:27.5225169Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:27:27.5227165Z AWS_SESSION_TOKEN: *** 2025-08-14T21:27:27.5227265Z REPO_NAME: pytorch 2025-08-14T21:27:27.5227556Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:27.5227860Z DOCKER_BUILD_DIR: .ci/docker 2025-08-14T21:27:27.5228060Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-08-14T21:27:27.5228204Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:27.5228358Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-08-14T21:27:27.5228470Z CUSTOM_TAG_PREFIX: 2025-08-14T21:27:27.5228565Z ##[endgroup] 2025-08-14T21:27:27.5250872Z + [[ -d .ci/docker ]] 2025-08-14T21:27:27.5251047Z + [[ -f .ci/docker/./build.sh ]] 2025-08-14T21:27:27.5251178Z + [[ true == \t\r\u\e ]] 2025-08-14T21:27:27.5251294Z + echo skip=false 2025-08-14T21:27:27.5251702Z + [[ 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* ]] 2025-08-14T21:27:27.5255744Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:27.5256132Z ++ awk -F '[:,]' '{print $2}' 2025-08-14T21:27:27.5269237Z + DOCKER_TAG=pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:27.5269580Z + echo docker-tag=pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:27.5270068Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:27.5293325Z ##[group]Run set +e 2025-08-14T21:27:27.5293455Z set +e 2025-08-14T21:27:27.5293545Z set -x 2025-08-14T21:27:27.5293634Z  2025-08-14T21:27:27.5293719Z login() { 2025-08-14T21:27:27.5293902Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-08-14T21:27:27.5294088Z } 2025-08-14T21:27:27.5294170Z  2025-08-14T21:27:27.5294250Z retry () { 2025-08-14T21:27:27.5294357Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-08-14T21:27:27.5296512Z } 2025-08-14T21:27:27.5296594Z  2025-08-14T21:27:27.5296684Z retry login "${DOCKER_REGISTRY}" 2025-08-14T21:27:27.5296797Z  2025-08-14T21:27:27.5296881Z START_TIME=$(date +%s) 2025-08-14T21:27:27.5297136Z # Wait up to 120 minutes 2025-08-14T21:27:27.5297278Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-08-14T21:27:27.5297456Z  # Check if image already exists, if it does then skip building it 2025-08-14T21:27:27.5297635Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-08-14T21:27:27.5297771Z  exit 0 2025-08-14T21:27:27.5297858Z  fi 2025-08-14T21:27:27.5298115Z  2025-08-14T21:27:27.5298257Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-08-14T21:27:27.5298494Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-08-14T21:27:27.5300435Z  # latter, it will wait for the Docker images to become available before continuing 2025-08-14T21:27:27.5300632Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-08-14T21:27:27.5300782Z  # It's a Docker build job, let's build the image 2025-08-14T21:27:27.5300926Z  break 2025-08-14T21:27:27.5301014Z  else 2025-08-14T21:27:27.5301140Z  # It's a regular build job, wait for the image to become available 2025-08-14T21:27:27.5301287Z  sleep 300 2025-08-14T21:27:27.5301381Z  fi 2025-08-14T21:27:27.5301462Z done 2025-08-14T21:27:27.5301541Z  2025-08-14T21:27:27.5301669Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-08-14T21:27:27.5303451Z # be empty. The default action would be to continue rebuild the image 2025-08-14T21:27:27.5303639Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-08-14T21:27:27.5303802Z  # if we're on the base branch then use the parent commit 2025-08-14T21:27:27.5303948Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-08-14T21:27:27.5304063Z else 2025-08-14T21:27:27.5304186Z  # otherwise we're on a PR, so use the most recent base commit 2025-08-14T21:27:27.5304443Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-08-14T21:27:27.5304572Z fi 2025-08-14T21:27:27.5304652Z  2025-08-14T21:27:27.5304742Z if [[ -z "${MERGE_BASE}" ]]; then 2025-08-14T21:27:27.5304873Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:27:27.5306552Z  2025-08-14T21:27:27.5306722Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-08-14T21:27:27.5306914Z  exit 0 2025-08-14T21:27:27.5306998Z fi 2025-08-14T21:27:27.5307076Z  2025-08-14T21:27:27.5307192Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-08-14T21:27:27.5307431Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-08-14T21:27:27.5307633Z  exit 1 2025-08-14T21:27:27.5307723Z fi 2025-08-14T21:27:27.5307806Z  2025-08-14T21:27:27.5308043Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-08-14T21:27:27.5309830Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-08-14T21:27:27.5310038Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-08-14T21:27:27.5310278Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-08-14T21:27:27.5310543Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-08-14T21:27:27.5310704Z fi 2025-08-14T21:27:27.5310783Z  2025-08-14T21:27:27.5310884Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:27:27.5314633Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:27.5314770Z env: 2025-08-14T21:27:27.5314857Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:27.5316871Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:27:27.5317043Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:27:27.5317202Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:27:27.5317572Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:27:27.5318056Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:27:27.5318164Z AWS_REGION: us-east-1 2025-08-14T21:27:27.5318301Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:27:27.5318450Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:27:27.5320449Z AWS_SESSION_TOKEN: *** 2025-08-14T21:27:27.5320550Z DOCKER_BUILD_DIR: .ci/docker 2025-08-14T21:27:27.5322351Z BASE_REVISION: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:27:27.5322685Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:27.5323082Z DOCKER_TAG: pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:27.5323320Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:27.5323462Z DOCKER_PUSH: 2025-08-14T21:27:27.5323552Z ##[endgroup] 2025-08-14T21:27:27.5339359Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:27.5339562Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:27.5340777Z + aws ecr get-login-password --region us-east-1 2025-08-14T21:27:27.5341953Z /home/runner/_work/_temp/8d997337-08d0-428e-a53f-dbbd6638deb1.sh: line 5: aws: command not found 2025-08-14T21:27:27.5353021Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:27.5441711Z Error: Cannot perform an interactive login from a non TTY device 2025-08-14T21:27:27.5456557Z + sleep 1 2025-08-14T21:27:28.5471050Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:28.5472223Z + aws ecr get-login-password --region us-east-1 2025-08-14T21:27:28.5473043Z /home/runner/_work/_temp/8d997337-08d0-428e-a53f-dbbd6638deb1.sh: line 5: aws: command not found 2025-08-14T21:27:28.5473550Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:28.5568532Z Error: Cannot perform an interactive login from a non TTY device 2025-08-14T21:27:28.5587140Z + sleep 2 2025-08-14T21:27:30.5598683Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:30.5606600Z + aws ecr get-login-password --region us-east-1 2025-08-14T21:27:30.5608301Z /home/runner/_work/_temp/8d997337-08d0-428e-a53f-dbbd6638deb1.sh: line 5: aws: command not found 2025-08-14T21:27:30.5608723Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:30.5715109Z Error: Cannot perform an interactive login from a non TTY device 2025-08-14T21:27:30.5734021Z ++ date +%s 2025-08-14T21:27:30.5743712Z + START_TIME=1755206850 2025-08-14T21:27:30.5746864Z ++ date +%s 2025-08-14T21:27:30.5753277Z + [[ 1755199650 -lt 1755206850 ]] 2025-08-14T21:27:30.5753916Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:31.3052161Z { 2025-08-14T21:27:31.3053339Z "schemaVersion": 2, 2025-08-14T21:27:31.3053921Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-08-14T21:27:31.3054385Z "config": { 2025-08-14T21:27:31.3054772Z "mediaType": 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"sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-08-14T21:27:31.3132413Z }, 2025-08-14T21:27:31.3132483Z { 2025-08-14T21:27:31.3132597Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:27:31.3132741Z "size": 108, 2025-08-14T21:27:31.3132889Z "digest": "sha256:adfd13fc143b61b5c176a2b53ab69e1ba8445cc90e9097a9edb19cc2645da60c" 2025-08-14T21:27:31.3133052Z }, 2025-08-14T21:27:31.3133120Z { 2025-08-14T21:27:31.3133234Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:27:31.3133377Z "size": 54145699, 2025-08-14T21:27:31.3133526Z "digest": "sha256:bc1598798397d700ab050fe72451c5e945990c29bdf9c596d6259109b980d883" 2025-08-14T21:27:31.3133684Z } 2025-08-14T21:27:31.3134706Z ] 2025-08-14T21:27:31.3134778Z } 2025-08-14T21:27:31.3134858Z + exit 0 2025-08-14T21:27:31.3176197Z ##[group]Run set -eux 2025-08-14T21:27:31.3176318Z set -eux 2025-08-14T21:27:31.3176630Z 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 2025-08-14T21:27:31.3182551Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:31.3182695Z env: 2025-08-14T21:27:31.3182781Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:31.3182907Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:27:31.3183073Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:27:31.3185142Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:27:31.3185521Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:27:31.3185885Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:27:31.3185993Z AWS_REGION: us-east-1 2025-08-14T21:27:31.3186195Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:27:31.3186338Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:27:31.3188411Z AWS_SESSION_TOKEN: *** 2025-08-14T21:27:31.3188508Z ##[endgroup] 2025-08-14T21:27:31.3218443Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-08-14T21:27:31.3218745Z + jq --raw-output .SecretString 2025-08-14T21:27:31.3219039Z /home/runner/_work/_temp/7cbca3f8-d2e3-4ff0-a3ba-59ce2ff1859d.sh: line 2: aws: command not found 2025-08-14T21:27:31.3219759Z + jq -r .docker_hub_readonly_token 2025-08-14T21:27:31.3220827Z + docker login --username pytorchbot --password-stdin 2025-08-14T21:27:31.3331986Z Error: Cannot perform an interactive login from a non TTY device 2025-08-14T21:27:31.3352580Z ##[error]Process completed with exit code 1. 2025-08-14T21:27:31.3444829Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-08-14T21:27:31.3445010Z with: 2025-08-14T21:27:31.3445289Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:31.3447626Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:31.3447778Z env: 2025-08-14T21:27:31.3448002Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:31.3448161Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:27:31.3448330Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:27:31.3448486Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:27:31.3448879Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:27:31.3449240Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:27:31.3449348Z AWS_REGION: us-east-1 2025-08-14T21:27:31.3449527Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:27:31.3451539Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:27:31.3453528Z AWS_SESSION_TOKEN: *** 2025-08-14T21:27:31.3453627Z ##[endgroup] 2025-08-14T21:27:31.3463954Z ##[group]Run set -x 2025-08-14T21:27:31.3464078Z set -x 2025-08-14T21:27:31.3466239Z set +e 2025-08-14T21:27:31.3466325Z  2025-08-14T21:27:31.3466406Z login() { 2025-08-14T21:27:31.3466584Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-08-14T21:27:31.3466770Z } 2025-08-14T21:27:31.3466849Z  2025-08-14T21:27:31.3466928Z retry () { 2025-08-14T21:27:31.3467033Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-08-14T21:27:31.3467151Z } 2025-08-14T21:27:31.3467227Z  2025-08-14T21:27:31.3467321Z retry login "${DOCKER_REGISTRY}" 2025-08-14T21:27:31.3469560Z  2025-08-14T21:27:31.3469867Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-08-14T21:27:31.3470105Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-08-14T21:27:31.3470241Z  2025-08-14T21:27:31.3470318Z set -e 2025-08-14T21:27:31.3470446Z # ignore output since only exit code is used for conditional 2025-08-14T21:27:31.3470622Z # only pull docker image if it's not available locally 2025-08-14T21:27:31.3470818Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-08-14T21:27:31.3470998Z  retry docker pull "${DOCKER_IMAGE}" 2025-08-14T21:27:31.3471115Z fi 2025-08-14T21:27:31.3478997Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:31.3479217Z env: 2025-08-14T21:27:31.3479318Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:31.3479448Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:27:31.3479625Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:27:31.3479784Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:27:31.3480157Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:27:31.3480518Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:27:31.3480627Z AWS_REGION: us-east-1 2025-08-14T21:27:31.3480758Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:27:31.3483089Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:27:31.3485112Z AWS_SESSION_TOKEN: *** 2025-08-14T21:27:31.3485402Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:31.3485889Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:31.3486034Z ##[endgroup] 2025-08-14T21:27:31.3508619Z + set +e 2025-08-14T21:27:31.3508784Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:31.3508970Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:31.3509151Z + aws ecr get-login-password --region us-east-1 2025-08-14T21:27:31.3509390Z /home/runner/_work/_temp/6b06a54c-ffde-48f1-9c9e-f2c1083ded80.sh: line 5: aws: command not found 2025-08-14T21:27:31.3510918Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:31.3596957Z Error: Cannot perform an interactive login from a non TTY device 2025-08-14T21:27:31.3606317Z + sleep 1 2025-08-14T21:27:32.3619917Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:32.3630031Z + aws ecr get-login-password --region us-east-1 2025-08-14T21:27:32.3630372Z /home/runner/_work/_temp/6b06a54c-ffde-48f1-9c9e-f2c1083ded80.sh: line 5: aws: command not found 2025-08-14T21:27:32.3630696Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:32.3715223Z Error: Cannot perform an interactive login from a non TTY device 2025-08-14T21:27:32.3729977Z + sleep 2 2025-08-14T21:27:34.3743918Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:34.3747373Z + aws ecr get-login-password --region us-east-1 2025-08-14T21:27:34.3747864Z /home/runner/_work/_temp/6b06a54c-ffde-48f1-9c9e-f2c1083ded80.sh: line 5: aws: command not found 2025-08-14T21:27:34.3750548Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:34.3868239Z Error: Cannot perform an interactive login from a non TTY device 2025-08-14T21:27:34.3880107Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:34.3880618Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-08-14T21:27:34.8768968Z + IMAGE_SIZE=34596.62600708008 2025-08-14T21:27:34.8770676Z + echo 'Compressed size of image in MB: 34596.62600708008' 2025-08-14T21:27:34.8770942Z Compressed size of image in MB: 34596.62600708008 2025-08-14T21:27:34.8771104Z + set -e 2025-08-14T21:27:34.8771451Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:34.8901037Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:34.8901548Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:35.3667323Z pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe: Pulling from pytorch/ci-image 2025-08-14T21:27:35.3668237Z 660ffc76f83b: Pulling fs layer 2025-08-14T21:27:35.3668554Z 92bfd659ef8b: Pulling fs layer 2025-08-14T21:27:35.3668879Z f0d15f41a3d0: Pulling fs layer 2025-08-14T21:27:35.3669174Z 6e41a7f8bbe4: Pulling fs layer 2025-08-14T21:27:35.3669453Z 1a918a61ab6c: Pulling fs layer 2025-08-14T21:27:35.3669737Z d270f0d3863f: Pulling fs layer 2025-08-14T21:27:35.3670017Z 5c8b5add11b0: Pulling fs layer 2025-08-14T21:27:35.3670293Z 8749a128a59f: Pulling fs layer 2025-08-14T21:27:35.3670567Z f854990b300b: Pulling fs layer 2025-08-14T21:27:35.3670849Z f5ee8fcbf103: Pulling fs layer 2025-08-14T21:27:35.3671128Z a10b9d4967ee: Pulling fs layer 2025-08-14T21:27:35.3671404Z 5c0d4173d03e: Pulling fs layer 2025-08-14T21:27:35.3671683Z fed85afe92aa: Pulling fs layer 2025-08-14T21:27:35.3671958Z 52302670619d: Pulling fs layer 2025-08-14T21:27:35.3672234Z 42e86e9c5c3a: Pulling fs layer 2025-08-14T21:27:35.3672514Z 4dc28c0c5d18: Pulling fs layer 2025-08-14T21:27:35.3672793Z 0ca33291d1fa: Pulling fs layer 2025-08-14T21:27:35.3673413Z da79ec9fb56c: Pulling fs layer 2025-08-14T21:27:35.3693099Z 325dc2848ba0: Pulling fs layer 2025-08-14T21:27:35.3694053Z df5cd943c373: Pulling fs layer 2025-08-14T21:27:35.3694294Z 6e41a7f8bbe4: Waiting 2025-08-14T21:27:35.3694431Z 4db9a41536f5: Pulling fs layer 2025-08-14T21:27:35.3694574Z b05d7c562d5c: Pulling fs layer 2025-08-14T21:27:35.3694709Z 8749a128a59f: Waiting 2025-08-14T21:27:35.3694824Z 1a918a61ab6c: Waiting 2025-08-14T21:27:35.3694940Z 2a6c6a5a7fe3: Pulling fs layer 2025-08-14T21:27:35.3695070Z 5c0d4173d03e: Waiting 2025-08-14T21:27:35.3695188Z 9853a939cabe: Pulling fs layer 2025-08-14T21:27:35.3695319Z d270f0d3863f: Waiting 2025-08-14T21:27:35.3695553Z fed85afe92aa: Waiting 2025-08-14T21:27:35.3695676Z 4eb8f1f36a6f: Pulling fs layer 2025-08-14T21:27:35.3695803Z 988fbe4e5657: Pulling fs layer 2025-08-14T21:27:35.3695937Z 5c8b5add11b0: Waiting 2025-08-14T21:27:35.3696086Z 59679654be53: Pulling fs layer 2025-08-14T21:27:35.3696219Z 3c2d7fc49b16: Pulling fs layer 2025-08-14T21:27:35.3696393Z d55c2f227838: Pulling fs layer 2025-08-14T21:27:35.3696521Z 03d6b4374ffa: Pulling fs layer 2025-08-14T21:27:35.3696667Z 0f8e385a08d8: Pulling fs layer 2025-08-14T21:27:35.3696798Z 180fa33de95d: Pulling fs layer 2025-08-14T21:27:35.3700153Z 1237e0fb7554: Pulling fs layer 2025-08-14T21:27:35.3700484Z df5cd943c373: Waiting 2025-08-14T21:27:35.3700680Z f610669ab303: Pulling fs layer 2025-08-14T21:27:35.3700831Z 52302670619d: Waiting 2025-08-14T21:27:35.3700969Z 42e86e9c5c3a: Waiting 2025-08-14T21:27:35.3701105Z 731933086505: Pulling fs layer 2025-08-14T21:27:35.3701251Z f854990b300b: Waiting 2025-08-14T21:27:35.3701376Z 988fbe4e5657: Waiting 2025-08-14T21:27:35.3701514Z a63a18666963: Pulling fs layer 2025-08-14T21:27:35.3701668Z 59679654be53: Waiting 2025-08-14T21:27:35.3701801Z 3c2d7fc49b16: Waiting 2025-08-14T21:27:35.3701938Z 26547c98f8ab: Pulling fs layer 2025-08-14T21:27:35.3702085Z 4db9a41536f5: Waiting 2025-08-14T21:27:35.3702217Z b05d7c562d5c: Waiting 2025-08-14T21:27:35.3702365Z f5ee8fcbf103: Waiting 2025-08-14T21:27:35.3702499Z 2a6c6a5a7fe3: Waiting 2025-08-14T21:27:35.3702631Z a10b9d4967ee: Waiting 2025-08-14T21:27:35.3702925Z 325dc2848ba0: Waiting 2025-08-14T21:27:35.3703053Z 180fa33de95d: Waiting 2025-08-14T21:27:35.3703183Z 1237e0fb7554: Waiting 2025-08-14T21:27:35.3710321Z da79ec9fb56c: Waiting 2025-08-14T21:27:35.3710475Z a63a18666963: Waiting 2025-08-14T21:27:35.3710607Z 0f8e385a08d8: Waiting 2025-08-14T21:27:35.3710737Z 9853a939cabe: Waiting 2025-08-14T21:27:35.3710865Z 0ca33291d1fa: Waiting 2025-08-14T21:27:35.3710995Z 4eb8f1f36a6f: Waiting 2025-08-14T21:27:35.3711142Z 0e60af5e7f42: Pulling fs layer 2025-08-14T21:27:35.3711320Z 26547c98f8ab: Waiting 2025-08-14T21:27:35.3711441Z 03d6b4374ffa: Waiting 2025-08-14T21:27:35.3711566Z c248081dfc75: Pulling fs layer 2025-08-14T21:27:35.3711700Z 0e60af5e7f42: Waiting 2025-08-14T21:27:35.3713785Z 97a6c299b273: Pulling fs layer 2025-08-14T21:27:35.3713898Z 0d048ba0feb8: Pulling fs layer 2025-08-14T21:27:35.3714017Z 6c2fd4c1021a: Pulling fs layer 2025-08-14T21:27:35.3714122Z 97a6c299b273: Waiting 2025-08-14T21:27:35.3714214Z 0d048ba0feb8: Waiting 2025-08-14T21:27:35.3714315Z 1a5448de2765: Pulling fs layer 2025-08-14T21:27:35.3714417Z 6c2fd4c1021a: Waiting 2025-08-14T21:27:35.3714514Z 5e9becdabdf9: Pulling fs layer 2025-08-14T21:27:35.3714618Z c248081dfc75: Waiting 2025-08-14T21:27:35.3714710Z 5e9becdabdf9: Waiting 2025-08-14T21:27:35.3714807Z 71ce54a6bab9: Pulling fs layer 2025-08-14T21:27:35.3716137Z a9caecb39e46: Pulling fs layer 2025-08-14T21:27:35.3716244Z 1a5448de2765: Waiting 2025-08-14T21:27:35.3716340Z 066586f389fb: Pulling fs layer 2025-08-14T21:27:35.3716444Z a9caecb39e46: Waiting 2025-08-14T21:27:35.3716536Z 71ce54a6bab9: Waiting 2025-08-14T21:27:35.3716632Z da4f9a8100cf: Pulling fs layer 2025-08-14T21:27:35.3716737Z 066586f389fb: Waiting 2025-08-14T21:27:35.3716832Z f6fe93848ce1: Pulling fs layer 2025-08-14T21:27:35.3716936Z da4f9a8100cf: Waiting 2025-08-14T21:27:35.3717032Z b672a62688e0: Pulling fs layer 2025-08-14T21:27:35.3717217Z f6fe93848ce1: Waiting 2025-08-14T21:27:35.3718606Z df63d17f1f35: Pulling fs layer 2025-08-14T21:27:35.3718722Z 4f4fb700ef54: Pulling fs layer 2025-08-14T21:27:35.3718833Z adfd13fc143b: Pulling fs layer 2025-08-14T21:27:35.3718939Z df63d17f1f35: Waiting 2025-08-14T21:27:35.3719031Z b672a62688e0: Waiting 2025-08-14T21:27:35.3719127Z bc1598798397: Pulling fs layer 2025-08-14T21:27:35.3719231Z adfd13fc143b: Waiting 2025-08-14T21:27:35.3719320Z bc1598798397: Waiting 2025-08-14T21:27:35.3719411Z 4f4fb700ef54: Waiting 2025-08-14T21:27:35.5566573Z 92bfd659ef8b: Download complete 2025-08-14T21:27:35.7465011Z 6e41a7f8bbe4: Verifying Checksum 2025-08-14T21:27:35.7465403Z 6e41a7f8bbe4: Download complete 2025-08-14T21:27:35.9577609Z 660ffc76f83b: Verifying Checksum 2025-08-14T21:27:35.9577795Z 660ffc76f83b: Download complete 2025-08-14T21:27:35.9803804Z 1a918a61ab6c: Verifying Checksum 2025-08-14T21:27:35.9804665Z 1a918a61ab6c: Download complete 2025-08-14T21:27:36.1871169Z d270f0d3863f: Download complete 2025-08-14T21:27:36.5020067Z 8749a128a59f: Verifying Checksum 2025-08-14T21:27:36.5020223Z 8749a128a59f: Download complete 2025-08-14T21:27:36.5188241Z 660ffc76f83b: Pull complete 2025-08-14T21:27:36.5275170Z 92bfd659ef8b: Pull complete 2025-08-14T21:27:36.7115041Z f854990b300b: Verifying Checksum 2025-08-14T21:27:36.7115270Z f854990b300b: Download complete 2025-08-14T21:27:36.9465277Z f5ee8fcbf103: Verifying Checksum 2025-08-14T21:27:36.9465509Z f5ee8fcbf103: Download complete 2025-08-14T21:27:40.8091590Z f0d15f41a3d0: Verifying Checksum 2025-08-14T21:27:40.8092086Z f0d15f41a3d0: Download complete 2025-08-14T21:27:41.0183471Z 5c0d4173d03e: Verifying Checksum 2025-08-14T21:27:41.0183956Z 5c0d4173d03e: Download complete 2025-08-14T21:27:41.3114731Z fed85afe92aa: Verifying Checksum 2025-08-14T21:27:41.3114918Z fed85afe92aa: Download complete 2025-08-14T21:27:41.6150483Z 52302670619d: Download complete 2025-08-14T21:27:41.8374800Z 42e86e9c5c3a: Download complete 2025-08-14T21:27:42.0422292Z 4dc28c0c5d18: Download complete 2025-08-14T21:27:45.1619456Z 5c8b5add11b0: Verifying Checksum 2025-08-14T21:27:45.1619663Z 5c8b5add11b0: Download complete 2025-08-14T21:27:45.3891353Z f0d15f41a3d0: Pull complete 2025-08-14T21:27:45.3903499Z da79ec9fb56c: Download complete 2025-08-14T21:27:45.4004377Z 6e41a7f8bbe4: Pull complete 2025-08-14T21:27:45.4104452Z 1a918a61ab6c: Pull complete 2025-08-14T21:27:45.4216516Z d270f0d3863f: Pull complete 2025-08-14T21:27:45.6164402Z 325dc2848ba0: Verifying Checksum 2025-08-14T21:27:45.6164605Z 325dc2848ba0: Download complete 2025-08-14T21:27:46.6272299Z 5c8b5add11b0: Pull complete 2025-08-14T21:27:46.6361138Z 8749a128a59f: Pull complete 2025-08-14T21:27:46.6451525Z f854990b300b: Pull complete 2025-08-14T21:27:46.6534449Z f5ee8fcbf103: Pull complete 2025-08-14T21:27:58.4973815Z 0ca33291d1fa: Verifying Checksum 2025-08-14T21:27:58.4974064Z 0ca33291d1fa: Download complete 2025-08-14T21:27:58.9260808Z b05d7c562d5c: Verifying Checksum 2025-08-14T21:27:58.9261292Z b05d7c562d5c: Download complete 2025-08-14T21:28:05.8992062Z 2a6c6a5a7fe3: Verifying Checksum 2025-08-14T21:28:05.8992374Z 2a6c6a5a7fe3: Download complete 2025-08-14T21:28:06.1150899Z 9853a939cabe: Verifying Checksum 2025-08-14T21:28:06.1151258Z 9853a939cabe: Download complete 2025-08-14T21:28:06.5600735Z 988fbe4e5657: Verifying Checksum 2025-08-14T21:28:06.5600941Z 988fbe4e5657: Download complete 2025-08-14T21:28:06.7841140Z 59679654be53: Verifying Checksum 2025-08-14T21:28:06.7841474Z 59679654be53: Download complete 2025-08-14T21:28:07.2732758Z 3c2d7fc49b16: Verifying Checksum 2025-08-14T21:28:07.2742104Z 3c2d7fc49b16: Download complete 2025-08-14T21:28:07.5092333Z d55c2f227838: Verifying Checksum 2025-08-14T21:28:07.5092814Z d55c2f227838: Download complete 2025-08-14T21:28:07.7131754Z 03d6b4374ffa: Download complete 2025-08-14T21:28:08.2523610Z 0f8e385a08d8: Download complete 2025-08-14T21:28:08.4824949Z 180fa33de95d: Verifying Checksum 2025-08-14T21:28:08.4825173Z 180fa33de95d: Download complete 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complete 2025-08-14T21:35:06.4162145Z bc1598798397: Pull complete 2025-08-14T21:35:06.4292614Z Digest: sha256:26220611dadb9f93b140ce4e0373f6f2155144d54eb630d66505a6fc080a99d5 2025-08-14T21:35:06.4350508Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:35:06.4361749Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:35:06.4477852Z Prepare all required actions 2025-08-14T21:35:06.4538066Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-08-14T21:35:06.4538281Z with: 2025-08-14T21:35:06.4538792Z github-token: *** 2025-08-14T21:35:06.4538928Z env: 2025-08-14T21:35:06.4539053Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:06.4539246Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:06.4539499Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:06.4539743Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:06.4540312Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:06.4543944Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:06.4544105Z AWS_REGION: us-east-1 2025-08-14T21:35:06.4544317Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:06.4544561Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:06.4547768Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:06.4548031Z ##[endgroup] 2025-08-14T21:35:06.4569225Z ##[group]Run set -eux 2025-08-14T21:35:06.4569385Z set -eux 2025-08-14T21:35:06.4569629Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-08-14T21:35:06.4577218Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:06.4577420Z env: 2025-08-14T21:35:06.4577544Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:06.4577734Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:06.4581263Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:06.4581502Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:06.4582070Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:06.4582612Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:06.4582769Z AWS_REGION: us-east-1 2025-08-14T21:35:06.4582963Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:06.4583379Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:06.4586513Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:06.4586724Z GITHUB_TOKEN: *** 2025-08-14T21:35:06.4586854Z ##[endgroup] 2025-08-14T21:35:06.4642443Z + python3 .github/scripts/get_workflow_job_id.py 16976338999 linux.rocm.gpu.gfx942.1-ccq8d-runner-2pgm2 2025-08-14T21:35:08.1545858Z Setting output job-id=48128598958 2025-08-14T21:35:08.1546199Z Setting output job-name=rocm-py3_10-periodic-dynamo-benchmarks / test (aot_eager_torchbench, 1, 2, linux.rocm.gpu.gfx942.1) 2025-08-14T21:35:08.1644106Z Prepare all required actions 2025-08-14T21:35:08.1644386Z Getting action download info 2025-08-14T21:35:08.3674683Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-08-14T21:35:08.8551524Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-08-14T21:35:09.2944305Z ##[group]Run ./.github/actions/download-build-artifacts 2025-08-14T21:35:09.2944482Z with: 2025-08-14T21:35:09.2944590Z name: linux-jammy-rocm-py3_10 2025-08-14T21:35:09.2944720Z s3-bucket: gha-artifacts 2025-08-14T21:35:09.2944839Z env: 2025-08-14T21:35:09.2944940Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:09.2945084Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:09.2945275Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:09.2945456Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:09.2945885Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:09.2946279Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:09.2946402Z AWS_REGION: us-east-1 2025-08-14T21:35:09.2946593Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:09.2946751Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:09.2949324Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:09.2953499Z ##[endgroup] 2025-08-14T21:35:09.2976901Z ##[group]Run seemethere/download-artifact-s3@v4 2025-08-14T21:35:09.2977044Z with: 2025-08-14T21:35:09.2977147Z name: linux-jammy-rocm-py3_10 2025-08-14T21:35:09.2977271Z s3-bucket: gha-artifacts 2025-08-14T21:35:09.2977383Z region: us-east-1 2025-08-14T21:35:09.2979479Z env: 2025-08-14T21:35:09.2979576Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:09.2979711Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:09.2979892Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:09.2980185Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:09.2980567Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:09.2980937Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:09.2981050Z AWS_REGION: us-east-1 2025-08-14T21:35:09.2981204Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:09.2981359Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:09.2983396Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:09.2985164Z ##[endgroup] 2025-08-14T21:35:09.6669108Z (node:4789) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-08-14T21:35:09.6669306Z 2025-08-14T21:35:09.6670355Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-08-14T21:35:09.6670914Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-08-14T21:35:09.6671622Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-08-14T21:35:09.7933733Z Found 1 objects with prefix pytorch/pytorch/16976338999/linux-jammy-rocm-py3_10/ 2025-08-14T21:35:09.7935229Z Starting download (1/1): /home/runner/_work/pytorch/pytorch/artifacts.zip 2025-08-14T21:35:23.8343336Z Finished download (1/1): /home/runner/_work/pytorch/pytorch/artifacts.zip 2025-08-14T21:35:23.8346943Z Artifact download has finished successfully 2025-08-14T21:35:23.8703421Z ##[group]Run unzip -o artifacts.zip 2025-08-14T21:35:23.8703581Z unzip -o artifacts.zip 2025-08-14T21:35:23.8712115Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:23.8712261Z env: 2025-08-14T21:35:23.8712351Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:23.8712555Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:23.8712873Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:23.8713043Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:23.8713418Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:23.8714200Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:23.8714309Z AWS_REGION: us-east-1 2025-08-14T21:35:23.8714479Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:23.8714620Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:23.8718701Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:23.8718802Z ##[endgroup] 2025-08-14T21:35:23.8882422Z Archive: artifacts.zip 2025-08-14T21:35:23.8882774Z creating: dist/ 2025-08-14T21:35:26.8659602Z inflating: dist/torch-2.9.0a0+git1fc683c-cp310-cp310-linux_x86_64.whl 2025-08-14T21:35:26.8740850Z inflating: dist/.ninja_log 2025-08-14T21:35:26.8749337Z creating: build/custom_test_artifacts/ 2025-08-14T21:35:26.8749663Z creating: build/custom_test_artifacts/custom-op-build/ 2025-08-14T21:35:26.8750001Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/ 2025-08-14T21:35:26.8750398Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/pkgRedirects/ 2025-08-14T21:35:26.8750823Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeConfigureLog.yaml 2025-08-14T21:35:26.8751226Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/ 2025-08-14T21:35:26.8751621Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CMakeSystem.cmake 2025-08-14T21:35:26.8752046Z creating: 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2025-08-14T21:35:31.2404932Z inflating: build/bin/parallel_benchmark 2025-08-14T21:35:31.3140075Z inflating: build/bin/test_api 2025-08-14T21:35:31.3360116Z inflating: build/bin/test_lazy 2025-08-14T21:35:31.3360327Z creating: .additional_ci_files/ 2025-08-14T21:35:31.3410796Z inflating: .additional_ci_files/test-times.json 2025-08-14T21:35:31.3600295Z inflating: .additional_ci_files/test-class-times.json 2025-08-14T21:35:31.3632353Z ##[group]Run rm artifacts.zip 2025-08-14T21:35:31.3632505Z rm artifacts.zip 2025-08-14T21:35:31.3638421Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:31.3638576Z env: 2025-08-14T21:35:31.3638677Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:31.3638809Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:31.3638990Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:31.3639160Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:31.3639546Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:31.3639926Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:31.3640200Z AWS_REGION: us-east-1 2025-08-14T21:35:31.3640411Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:31.3642566Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:31.3644610Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:31.3644715Z ##[endgroup] 2025-08-14T21:35:31.5384173Z ##[group]Run df -H 2025-08-14T21:35:31.5384341Z df -H 2025-08-14T21:35:31.5391227Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:31.5391447Z env: 2025-08-14T21:35:31.5391585Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:31.5391783Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:31.5392042Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:31.5392288Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:31.5392851Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:31.5393416Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:31.5393604Z AWS_REGION: us-east-1 2025-08-14T21:35:31.5393821Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:31.5394037Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:31.5397262Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:31.5397414Z ##[endgroup] 2025-08-14T21:35:31.5689326Z Filesystem Size Used Avail Use% Mounted on 2025-08-14T21:35:31.5689573Z overlay 2.2T 421G 1.8T 20% / 2025-08-14T21:35:31.5689769Z tmpfs 68M 0 68M 0% /dev 2025-08-14T21:35:31.5689958Z /dev/vda1 2.2T 421G 1.8T 20% /run 2025-08-14T21:35:31.5690151Z shm 68M 4.1k 68M 1% /dev/shm 2025-08-14T21:35:31.5690393Z tmpfs 1.4T 13k 1.4T 1% /run/secrets/kubernetes.io/serviceaccount 2025-08-14T21:35:31.5690640Z tmpfs 677G 0 677G 0% /proc/acpi 2025-08-14T21:35:31.5690835Z tmpfs 677G 0 677G 0% /proc/scsi 2025-08-14T21:35:31.5691054Z tmpfs 677G 0 677G 0% /sys/firmware 2025-08-14T21:35:31.5757135Z Prepare all required actions 2025-08-14T21:35:31.5757786Z Getting action download info 2025-08-14T21:35:31.7191231Z ##[group]Run ./.github/actions/download-td-artifacts 2025-08-14T21:35:31.7191471Z with: 2025-08-14T21:35:31.7191591Z env: 2025-08-14T21:35:31.7191720Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:31.7191915Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:31.7192171Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:31.7192414Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:31.7192981Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:31.7193533Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:31.7193697Z AWS_REGION: us-east-1 2025-08-14T21:35:31.7193966Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:31.7197209Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:31.7200495Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:31.7200637Z ##[endgroup] 2025-08-14T21:35:31.7237550Z ##[group]Run seemethere/download-artifact-s3@v4 2025-08-14T21:35:31.7237739Z with: 2025-08-14T21:35:31.7237857Z name: td_results 2025-08-14T21:35:31.7238125Z s3-bucket: gha-artifacts 2025-08-14T21:35:31.7238275Z region: us-east-1 2025-08-14T21:35:31.7238398Z env: 2025-08-14T21:35:31.7238516Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:31.7238699Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:31.7238950Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:31.7241955Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:31.7242513Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:31.7243060Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:31.7243229Z AWS_REGION: us-east-1 2025-08-14T21:35:31.7243415Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:31.7243617Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:31.7246755Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:31.7246894Z ##[endgroup] 2025-08-14T21:35:31.9673322Z (node:4814) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-08-14T21:35:31.9688520Z 2025-08-14T21:35:31.9688698Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-08-14T21:35:31.9689039Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-08-14T21:35:31.9689378Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-08-14T21:35:32.0912618Z Found 0 objects with prefix pytorch/pytorch/16976338999/td_results/ 2025-08-14T21:35:32.0915804Z Artifact download has finished successfully 2025-08-14T21:35:32.1107277Z ##[group]Run mkdir -p .additional_ci_files 2025-08-14T21:35:32.1107482Z mkdir -p .additional_ci_files 2025-08-14T21:35:32.1107689Z mv td_results.json .additional_ci_files/td_results.json || true 2025-08-14T21:35:32.1113891Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:32.1114069Z env: 2025-08-14T21:35:32.1114166Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:32.1114299Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:32.1114473Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:32.1114638Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:32.1115021Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:32.1115392Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:32.1115504Z AWS_REGION: us-east-1 2025-08-14T21:35:32.1115934Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:32.1116222Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:32.1120498Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:32.1120607Z ##[endgroup] 2025-08-14T21:35:32.1182630Z mv: cannot stat 'td_results.json': No such file or directory 2025-08-14T21:35:32.1209293Z ##[group]Run .github/scripts/parse_ref.py 2025-08-14T21:35:32.1209564Z .github/scripts/parse_ref.py 2025-08-14T21:35:32.1223512Z shell: /usr/bin/bash -e {0} 2025-08-14T21:35:32.1223685Z env: 2025-08-14T21:35:32.1223830Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:32.1224031Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:32.1232903Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:32.1233190Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:32.1233764Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:32.1234358Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:32.1234536Z AWS_REGION: us-east-1 2025-08-14T21:35:32.1234803Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:32.1235072Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:32.1238325Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:32.1238495Z ##[endgroup] 2025-08-14T21:35:32.1359802Z Setting output branch=main 2025-08-14T21:35:32.1472382Z Prepare all required actions 2025-08-14T21:35:32.1472650Z Getting action download info 2025-08-14T21:35:32.2879315Z ##[group]Run ./.github/actions/filter-test-configs 2025-08-14T21:35:32.2879552Z with: 2025-08-14T21:35:32.2879992Z github-token: *** 2025-08-14T21:35:32.2882700Z 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"}]} 2025-08-14T21:35:32.2885684Z job-name: rocm-py3_10-periodic-dynamo-benchmarks / test (aot_eager_torchbench, 1, 2, linux.rocm.gpu.gfx942.1) 2025-08-14T21:35:32.2886049Z env: 2025-08-14T21:35:32.2886348Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:32.2886566Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:32.2886868Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:32.2893422Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:32.2893997Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:32.2894554Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:32.2895091Z AWS_REGION: us-east-1 2025-08-14T21:35:32.2895270Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:32.2895531Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:32.2898770Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:32.2898917Z ##[endgroup] 2025-08-14T21:35:32.2938859Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-14T21:35:32.2939029Z with: 2025-08-14T21:35:32.2943004Z shell: bash 2025-08-14T21:35:32.2943133Z timeout_minutes: 10 2025-08-14T21:35:32.2943269Z max_attempts: 5 2025-08-14T21:35:32.2943402Z retry_wait_seconds: 30 2025-08-14T21:35:32.2943824Z 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 2025-08-14T21:35:32.2944265Z polling_interval_seconds: 1 2025-08-14T21:35:32.2944417Z warning_on_retry: true 2025-08-14T21:35:32.2944564Z continue_on_error: false 2025-08-14T21:35:32.2944705Z env: 2025-08-14T21:35:32.2944832Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:32.2945013Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:32.2954146Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:32.2954385Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:32.2955194Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:32.2955790Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:32.2955949Z AWS_REGION: us-east-1 2025-08-14T21:35:32.2956126Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:32.2956326Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:32.2959517Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:32.2959743Z GITHUB_TOKEN: *** 2025-08-14T21:35:32.2959871Z ##[endgroup] 2025-08-14T21:35:32.3534937Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-08-14T21:35:32.5081764Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T21:35:32.7019907Z Collecting requests==2.27.1 2025-08-14T21:35:32.8151416Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-08-14T21:35:32.8579913Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 63.1/63.1 KB 1.3 MB/s eta 0:00:00 2025-08-14T21:35:32.9368670Z Collecting pyyaml==6.0.2 2025-08-14T21:35:32.9634150Z Downloading PyYAML-6.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (751 kB) 2025-08-14T21:35:33.0600171Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 751.2/751.2 KB 8.3 MB/s eta 0:00:00 2025-08-14T21:35:33.1865745Z Collecting charset-normalizer~=2.0.0 2025-08-14T21:35:33.2136579Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-08-14T21:35:33.2527520Z Collecting certifi>=2017.4.17 2025-08-14T21:35:33.2818216Z Downloading certifi-2025.8.3-py3-none-any.whl (161 kB) 2025-08-14T21:35:33.2860231Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 161.2/161.2 KB 83.4 MB/s eta 0:00:00 2025-08-14T21:35:33.3182980Z Collecting idna<4,>=2.5 2025-08-14T21:35:33.3463502Z Downloading idna-3.10-py3-none-any.whl (70 kB) 2025-08-14T21:35:33.3501707Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 70.4/70.4 KB 43.7 MB/s eta 0:00:00 2025-08-14T21:35:33.3966913Z Collecting urllib3<1.27,>=1.21.1 2025-08-14T21:35:33.4248492Z Downloading urllib3-1.26.20-py2.py3-none-any.whl (144 kB) 2025-08-14T21:35:33.4278841Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 144.2/144.2 KB 70.1 MB/s eta 0:00:00 2025-08-14T21:35:33.4921611Z Installing collected packages: urllib3, pyyaml, idna, charset-normalizer, certifi, requests 2025-08-14T21:35:33.6094451Z WARNING: The script normalizer is installed in '/home/runner/.local/bin' which is not on PATH. 2025-08-14T21:35:33.6095047Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-08-14T21:35:33.6490283Z 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 2025-08-14T21:35:34.3510700Z Command completed after 1 attempt(s). 2025-08-14T21:35:34.3577003Z ##[group]Run set -x 2025-08-14T21:35:34.3577180Z set -x 2025-08-14T21:35:34.3577293Z  2025-08-14T21:35:34.3577464Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-08-14T21:35:34.3577683Z # in runner workspace 2025-08-14T21:35:34.3577840Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-08-14T21:35:34.3584250Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:34.3584406Z env: 2025-08-14T21:35:34.3584509Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:34.3584644Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:34.3584821Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:34.3584992Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:34.3585375Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:34.3585756Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:34.3585871Z AWS_REGION: us-east-1 2025-08-14T21:35:34.3590939Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:34.3591256Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:34.3593270Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:34.3593377Z ##[endgroup] 2025-08-14T21:35:34.3622543Z + python3 /home/runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-08-14T21:35:34.3736800Z Setting output branch=main 2025-08-14T21:35:34.3831130Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-08-14T21:35:34.3831428Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-08-14T21:35:34.3831639Z echo "Job name: ${JOB_NAME}" 2025-08-14T21:35:34.3831804Z  2025-08-14T21:35:34.3832021Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-08-14T21:35:34.3832317Z # in runner workspace 2025-08-14T21:35:34.3832560Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-08-14T21:35:34.3832837Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-08-14T21:35:34.3833051Z  --job-name "${JOB_NAME}" \ 2025-08-14T21:35:34.3835643Z  --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"}]}" \ 2025-08-14T21:35:34.3838664Z  --selected-test-configs "" \ 2025-08-14T21:35:34.3838850Z  --pr-number "${PR_NUMBER}" \ 2025-08-14T21:35:34.3839027Z  --tag "${TAG}" \ 2025-08-14T21:35:34.3839198Z  --event-name "${EVENT_NAME}" \ 2025-08-14T21:35:34.3839379Z  --schedule "${SCHEDULE}" \ 2025-08-14T21:35:34.3842351Z  --branch "${HEAD_BRANCH}" 2025-08-14T21:35:34.3849905Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:34.3850110Z env: 2025-08-14T21:35:34.3850235Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:34.3850420Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:34.3850671Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:34.3850905Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:34.3851454Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:34.3851996Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:34.3852151Z AWS_REGION: us-east-1 2025-08-14T21:35:34.3852400Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:34.3852602Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:34.3859522Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:34.3860239Z GITHUB_TOKEN: *** 2025-08-14T21:35:34.3860530Z JOB_NAME: rocm-py3_10-periodic-dynamo-benchmarks / test (aot_eager_torchbench, 1, 2, linux.rocm.gpu.gfx942.1) 2025-08-14T21:35:34.3860840Z PR_NUMBER: 2025-08-14T21:35:34.3860959Z TAG: 2025-08-14T21:35:34.3861076Z EVENT_NAME: schedule 2025-08-14T21:35:34.3861218Z SCHEDULE: 45 0,4,8,12,16,20 * * 1-5 2025-08-14T21:35:34.3861381Z HEAD_BRANCH: main 2025-08-14T21:35:34.3861512Z ##[endgroup] 2025-08-14T21:35:34.3913028Z Workflow: inductor-periodic 2025-08-14T21:35:34.3913366Z Job name: rocm-py3_10-periodic-dynamo-benchmarks / test (aot_eager_torchbench, 1, 2, linux.rocm.gpu.gfx942.1) 2025-08-14T21:35:34.6999192Z Setting output keep-going=True 2025-08-14T21:35:34.6999395Z Setting output ci-verbose-test-logs=False 2025-08-14T21:35:34.6999835Z Setting output ci-test-showlocals=False 2025-08-14T21:35:34.7000276Z Setting output ci-no-test-timeout=False 2025-08-14T21:35:34.7000729Z Setting output ci-no-td=False 2025-08-14T21:35:34.7001200Z Setting output ci-td-distributed=False 2025-08-14T21:35:34.7001388Z Setting output is-unstable=False 2025-08-14T21:35:34.7002021Z Setting output reenabled-issues= 2025-08-14T21:35:34.7004406Z 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"}]} 2025-08-14T21:35:34.7007436Z Setting output is-test-matrix-empty=False 2025-08-14T21:35:34.7296156Z ##[group]Run echo "Filtered matrix:" 2025-08-14T21:35:34.7296309Z echo "Filtered matrix:" 2025-08-14T21:35:34.7298300Z 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"}]}" 2025-08-14T21:35:34.7300077Z  2025-08-14T21:35:34.7300167Z echo 2025-08-14T21:35:34.7300284Z echo "Is the current job unstable? False" 2025-08-14T21:35:34.7302217Z  2025-08-14T21:35:34.7302301Z echo 2025-08-14T21:35:34.7302401Z echo "Is keep-going label set? True" 2025-08-14T21:35:34.7302525Z  2025-08-14T21:35:34.7302601Z echo 2025-08-14T21:35:34.7302694Z echo "Reenabled issues? " 2025-08-14T21:35:34.7308652Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:34.7308801Z env: 2025-08-14T21:35:34.7308897Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:34.7309029Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:34.7309207Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:34.7309383Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:34.7309770Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:34.7310157Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:34.7310283Z AWS_REGION: us-east-1 2025-08-14T21:35:34.7310453Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:34.7310606Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:34.7312670Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:34.7312784Z ##[endgroup] 2025-08-14T21:35:34.7346652Z Filtered matrix: 2025-08-14T21:35:34.7348628Z {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}]} 2025-08-14T21:35:34.7350592Z 2025-08-14T21:35:34.7350643Z Is the current job unstable? False 2025-08-14T21:35:34.7355415Z 2025-08-14T21:35:34.7355468Z Is keep-going label set? True 2025-08-14T21:35:34.7355554Z 2025-08-14T21:35:34.7355598Z Reenabled issues? 2025-08-14T21:35:34.7582891Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-08-14T21:35:34.7583117Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-08-14T21:35:34.7589064Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:34.7589235Z env: 2025-08-14T21:35:34.7589346Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:34.7589497Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:34.7589694Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:34.7593974Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:34.7594370Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:34.7594752Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:34.7594872Z AWS_REGION: us-east-1 2025-08-14T21:35:34.7595072Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:34.7595229Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:34.7597301Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:34.7597404Z JOB_TIMEOUT: 300 2025-08-14T21:35:34.7597498Z ##[endgroup] 2025-08-14T21:35:34.7820906Z ##[group]Run set -x 2025-08-14T21:35:34.7821030Z set -x 2025-08-14T21:35:34.7821115Z  2025-08-14T21:35:34.7823243Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-08-14T21:35:34.7823409Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-08-14T21:35:34.7823560Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-08-14T21:35:34.7823697Z  TEST_COMMAND=.ci/caffe2/test.sh 2025-08-14T21:35:34.7823811Z else 2025-08-14T21:35:34.7823908Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-08-14T21:35:34.7824020Z fi 2025-08-14T21:35:34.7824097Z  2025-08-14T21:35:34.7824222Z # detached container should get cleaned up by teardown_ec2_linux 2025-08-14T21:35:34.7824427Z # TODO: Stop building test binaries as part of the build phase 2025-08-14T21:35:34.7824600Z # Used for GPU_FLAG since that doesn't play nice 2025-08-14T21:35:34.7824755Z # shellcheck disable=SC2086,SC2090 2025-08-14T21:35:34.7826562Z container_name=$(docker run \ 2025-08-14T21:35:34.7826683Z  ${GPU_FLAG:-} \ 2025-08-14T21:35:34.7826791Z  -e BUILD_ENVIRONMENT \ 2025-08-14T21:35:34.7826904Z  -e PR_NUMBER \ 2025-08-14T21:35:34.7827007Z  -e GITHUB_ACTIONS \ 2025-08-14T21:35:34.7827115Z  -e GITHUB_REPOSITORY \ 2025-08-14T21:35:34.7827227Z  -e GITHUB_WORKFLOW \ 2025-08-14T21:35:34.7827334Z  -e GITHUB_JOB \ 2025-08-14T21:35:34.7827437Z  -e GITHUB_RUN_ID \ 2025-08-14T21:35:34.7827541Z  -e GITHUB_RUN_NUMBER \ 2025-08-14T21:35:34.7827651Z  -e GITHUB_RUN_ATTEMPT \ 2025-08-14T21:35:34.7827759Z  -e JOB_ID \ 2025-08-14T21:35:34.7829749Z  -e JOB_NAME \ 2025-08-14T21:35:34.7829849Z  -e BRANCH \ 2025-08-14T21:35:34.7829943Z  -e SHA1 \ 2025-08-14T21:35:34.7830041Z  -e AWS_DEFAULT_REGION \ 2025-08-14T21:35:34.7830156Z  -e IN_WHEEL_TEST \ 2025-08-14T21:35:34.7830262Z  -e SHARD_NUMBER \ 2025-08-14T21:35:34.7830367Z  -e TEST_CONFIG \ 2025-08-14T21:35:34.7830472Z  -e NUM_TEST_SHARDS \ 2025-08-14T21:35:34.7830583Z  -e REENABLED_ISSUES \ 2025-08-14T21:35:34.7830698Z  -e CONTINUE_THROUGH_ERROR \ 2025-08-14T21:35:34.7830814Z  -e VERBOSE_TEST_LOGS \ 2025-08-14T21:35:34.7832440Z  -e TEST_SHOWLOCALS \ 2025-08-14T21:35:34.7832549Z  -e NO_TEST_TIMEOUT \ 2025-08-14T21:35:34.7832652Z  -e NO_TD \ 2025-08-14T21:35:34.7832761Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-08-14T21:35:34.7832898Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-08-14T21:35:34.7833034Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-08-14T21:35:34.7833169Z  -e TESTS_TO_INCLUDE \ 2025-08-14T21:35:34.7833282Z  -e DASHBOARD_TAG \ 2025-08-14T21:35:34.7833427Z  --env-file="${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}" \ 2025-08-14T21:35:34.7833583Z  --ulimit stack=10485760:83886080 \ 2025-08-14T21:35:34.7833702Z  --ulimit core=0 \ 2025-08-14T21:35:34.7835318Z  --security-opt seccomp=unconfined \ 2025-08-14T21:35:34.7835448Z  --cap-add=SYS_PTRACE \ 2025-08-14T21:35:34.7835562Z  --shm-size="8g" \ 2025-08-14T21:35:34.7835663Z  --tty \ 2025-08-14T21:35:34.7835756Z  --detach \ 2025-08-14T21:35:34.7835860Z  --name="${container_name}" \ 2025-08-14T21:35:34.7835978Z  --user jenkins \ 2025-08-14T21:35:34.7836112Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-08-14T21:35:34.7836263Z  -w /var/lib/jenkins/workspace \ 2025-08-14T21:35:34.7836389Z  "${DOCKER_IMAGE}" 2025-08-14T21:35:34.7836486Z ) 2025-08-14T21:35:34.7838219Z # save container name for later step 2025-08-14T21:35:34.7838484Z echo "CONTAINER_NAME=${container_name}" >> "$GITHUB_ENV" 2025-08-14T21:35:34.7838750Z # jenkins user does not have write permission to mounted workspace; work-around by copying within container to jenkins home 2025-08-14T21:35:34.7839092Z docker exec -t "${container_name}" sh -c "cd .. && cp -R workspace pytorch && cd pytorch && pip install dist/*.whl && ${TEST_COMMAND}" 2025-08-14T21:35:34.7843820Z shell: /usr/bin/bash -e {0} 2025-08-14T21:35:34.7843927Z env: 2025-08-14T21:35:34.7844014Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:34.7844144Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:34.7844319Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:34.7846329Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:34.7846740Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:34.7847114Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:34.7847226Z AWS_REGION: us-east-1 2025-08-14T21:35:34.7847360Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:34.7847504Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:34.7849668Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:34.7849783Z BUILD_ENVIRONMENT: linux-jammy-rocm-py3_10 2025-08-14T21:35:34.7849904Z PR_NUMBER: 2025-08-14T21:35:34.7849999Z GITHUB_REPOSITORY: pytorch/pytorch 2025-08-14T21:35:34.7850119Z GITHUB_WORKFLOW: inductor-periodic 2025-08-14T21:35:34.7851853Z GITHUB_JOB: test 2025-08-14T21:35:34.7851948Z GITHUB_RUN_ID: 16976338999 2025-08-14T21:35:34.7852053Z GITHUB_RUN_NUMBER: 66307 2025-08-14T21:35:34.7852156Z GITHUB_RUN_ATTEMPT: 1 2025-08-14T21:35:34.7852250Z JOB_ID: 48128598958 2025-08-14T21:35:34.7852554Z JOB_NAME: rocm-py3_10-periodic-dynamo-benchmarks / test (aot_eager_torchbench, 1, 2, linux.rocm.gpu.gfx942.1) 2025-08-14T21:35:34.7852762Z BRANCH: main 2025-08-14T21:35:34.7852867Z SHA1: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:34.7852994Z CONTINUE_THROUGH_ERROR: True 2025-08-14T21:35:34.7853101Z VERBOSE_TEST_LOGS: False 2025-08-14T21:35:34.7853202Z TEST_SHOWLOCALS: False 2025-08-14T21:35:34.7854925Z NO_TEST_TIMEOUT: False 2025-08-14T21:35:34.7855020Z NO_TD: False 2025-08-14T21:35:34.7855114Z TEST_CONFIG: aot_eager_torchbench 2025-08-14T21:35:34.7855223Z SHARD_NUMBER: 1 2025-08-14T21:35:34.7855311Z NUM_TEST_SHARDS: 2 2025-08-14T21:35:34.7855403Z REENABLED_ISSUES: 2025-08-14T21:35:34.7855689Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:35:34.7855995Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-08-14T21:35:34.7856126Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-08-14T21:35:34.7856239Z TESTS_TO_INCLUDE: 2025-08-14T21:35:34.7856326Z DASHBOARD_TAG: 2025-08-14T21:35:34.7858018Z ##[endgroup] 2025-08-14T21:35:34.7880376Z + [[ aot_eager_torchbench == \m\u\l\t\i\g\p\u ]] 2025-08-14T21:35:34.7880521Z + [[ linux-jammy-rocm-py3_10 == *onnx* ]] 2025-08-14T21:35:34.7880650Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-08-14T21:35:34.7884257Z +++ nproc --ignore=2 2025-08-14T21:35:34.7901723Z ++ docker run --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --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 2025-08-14T21:35:37.4359108Z + container_name=7544b9dcbfaf82a0dbe9e5dc05c11311ecbd74c9ca7e1ca566ad3b6c1dae3655 2025-08-14T21:35:37.4360158Z + echo CONTAINER_NAME=7544b9dcbfaf82a0dbe9e5dc05c11311ecbd74c9ca7e1ca566ad3b6c1dae3655 2025-08-14T21:35:37.4360581Z + docker exec -t 7544b9dcbfaf82a0dbe9e5dc05c11311ecbd74c9ca7e1ca566ad3b6c1dae3655 sh -c 'cd .. && cp -R workspace pytorch && cd pytorch && pip install dist/*.whl && .ci/pytorch/test.sh' 2025-08-14T21:35:42.6760771Z Processing ./dist/torch-2.9.0a0+git1fc683c-cp310-cp310-linux_x86_64.whl 2025-08-14T21:35:43.2438974Z 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) 2025-08-14T21:35:43.2440187Z 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) 2025-08-14T21:35:43.2441321Z 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) 2025-08-14T21:35:43.2442426Z 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) 2025-08-14T21:35:43.2443943Z 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) 2025-08-14T21:35:43.2446210Z 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) 2025-08-14T21:35:43.2621767Z 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) 2025-08-14T21:35:43.2646971Z 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) 2025-08-14T21:35:43.7749501Z Installing collected packages: torch 2025-08-14T21:35:50.3750797Z 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. 2025-08-14T21:35:50.3752327Z dall-e 0.1 requires torchvision, which is not installed. 2025-08-14T21:35:50.3752535Z effdet 0.4.1 requires torchvision, which is not installed. 2025-08-14T21:35:50.3752753Z helion 0.1.0 requires filecheck, which is not installed. 2025-08-14T21:35:50.3752938Z python-doctr 1.0.0 requires torchvision>=0.15.0, which is not installed. 2025-08-14T21:35:50.3753184Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-08-14T21:35:50.3759821Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-08-14T21:35:50.3760197Z timm 1.0.14 requires torchvision, which is not installed. 2025-08-14T21:35:50.3760410Z Successfully installed torch-2.9.0a0+git1fc683c 2025-08-14T21:35:50.4575231Z + export TERM=vt100 2025-08-14T21:35:50.4575519Z + TERM=vt100 2025-08-14T21:35:50.4576837Z ++ dirname .ci/pytorch/test.sh 2025-08-14T21:35:50.4583732Z + source .ci/pytorch/common.sh 2025-08-14T21:35:50.4585440Z +++ dirname .ci/pytorch/common.sh 2025-08-14T21:35:50.4590037Z ++ source .ci/pytorch/common_utils.sh 2025-08-14T21:35:50.4591083Z +++ declare -f -t trap_add 2025-08-14T21:35:50.4593682Z ++ set -ex -o pipefail 2025-08-14T21:35:50.4594011Z ++ [[ linux-jammy-rocm-py3_10 == *rocm* ]] 2025-08-14T21:35:50.4594199Z ++ unset HIP_PLATFORM 2025-08-14T21:35:50.4594356Z ++ export PYTORCH_TEST_WITH_ROCM=1 2025-08-14T21:35:50.4594883Z ++ PYTORCH_TEST_WITH_ROCM=1 2025-08-14T21:35:50.4595045Z ++ BUILD_TEST_LIBTORCH=0 2025-08-14T21:35:50.4596603Z ++ dirname .ci/pytorch/test.sh 2025-08-14T21:35:50.4601517Z + source .ci/pytorch/common-build.sh 2025-08-14T21:35:50.4602631Z ++ [[ linux-jammy-rocm-py3_10 != *win-* ]] 2025-08-14T21:35:50.4605246Z ++++ dirname .ci/pytorch/common-build.sh 2025-08-14T21:35:50.4610391Z +++ cd .ci/pytorch 2025-08-14T21:35:50.4610992Z +++ pwd -P 2025-08-14T21:35:50.4611981Z ++ script_dir=/var/lib/jenkins/pytorch/.ci/pytorch 2025-08-14T21:35:50.4612245Z ++ [[ linux-jammy-rocm-py3_10 == *-pch* ]] 2025-08-14T21:35:50.4619621Z ++ which sccache 2025-08-14T21:35:50.4619779Z ++ [[ -z '' ]] 2025-08-14T21:35:50.4619920Z ++ unset SCCACHE_BUCKET 2025-08-14T21:35:50.4620076Z ++ unset SCCACHE_REGION 2025-08-14T21:35:50.4620227Z ++ sccache --stop-server 2025-08-14T21:35:50.4677810Z ++ true 2025-08-14T21:35:50.4679171Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-08-14T21:35:50.4689027Z ++ trap_add sccache_epilogue EXIT 2025-08-14T21:35:50.4689832Z ++ trap_add_cmd=sccache_epilogue 2025-08-14T21:35:50.4690381Z ++ shift 2025-08-14T21:35:50.4694338Z ++ for trap_add_name in "$@" 2025-08-14T21:35:50.4696046Z ++++ trap -p EXIT 2025-08-14T21:35:50.4720263Z +++ eval 'extract_trap_cmd ' 2025-08-14T21:35:50.4720449Z ++++ extract_trap_cmd 2025-08-14T21:35:50.4720597Z ++++ printf '%s\n' '' 2025-08-14T21:35:50.4720766Z +++ printf '%s\n' sccache_epilogue 2025-08-14T21:35:50.4722468Z ++ trap -- ' 2025-08-14T21:35:50.4722600Z sccache_epilogue' EXIT 2025-08-14T21:35:50.4722743Z ++ [[ -n '' ]] 2025-08-14T21:35:50.4722886Z ++ [[ linux-jammy-rocm-py3_10 == *rocm* ]] 2025-08-14T21:35:50.4724988Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:35:50.4725218Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:35:50.4725724Z ++ sccache --start-server 2025-08-14T21:35:50.4776640Z sccache: Starting the server... 2025-08-14T21:35:50.5783108Z sccache: Listening on address 127.0.0.1:4226 2025-08-14T21:35:50.5794379Z ++ sccache --zero-stats 2025-08-14T21:35:50.5811463Z Statistics zeroed. 2025-08-14T21:35:50.5814388Z ++ which ccache 2025-08-14T21:35:50.5823944Z + [[ linux-jammy-rocm-py3_10 != *rocm* ]] 2025-08-14T21:35:50.5824106Z + echo 'Environment variables:' 2025-08-14T21:35:50.5824960Z Environment variables: 2025-08-14T21:35:50.5828493Z + env 2025-08-14T21:35:50.5831191Z GITHUB_WORKSPACE=/home/runner/_work/pytorch/pytorch 2025-08-14T21:35:50.5832506Z CONTINUE_THROUGH_ERROR=True 2025-08-14T21:35:50.5832716Z BUILD_ENVIRONMENT=linux-jammy-rocm-py3_10 2025-08-14T21:35:50.5832962Z HOSTNAME=linux.rocm.gpu.gfx942.1-ccq8d-runner-2pgm2 2025-08-14T21:35:50.5833337Z GITHUB_PATH=/home/runner/_work/_temp/_runner_file_commands/add_path_b8ffaec8-ddc1-475a-b199-196700be953a 2025-08-14T21:35:50.5833664Z GITHUB_ACTION=__self 2025-08-14T21:35:50.5833886Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-08-14T21:35:50.5834079Z GITHUB_RUN_NUMBER=66307 2025-08-14T21:35:50.5839751Z TEST_CONFIG=aot_eager_torchbench 2025-08-14T21:35:50.5840026Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-08-14T21:35:50.5840221Z AWS_DEFAULT_REGION=us-east-1 2025-08-14T21:35:50.5840410Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-08-14T21:35:50.5840589Z GITHUB_REF_TYPE=branch 2025-08-14T21:35:50.5843540Z *** 2025-08-14T21:35:50.5843667Z GITHUB_REPOSITORY_ID=65600975 2025-08-14T21:35:50.5843825Z GITHUB_ACTIONS=true 2025-08-14T21:35:50.5843980Z SHA1=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:50.5844180Z GITHUB_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:50.5844489Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-periodic.yml@refs/heads/main 2025-08-14T21:35:50.5844786Z UCC_HOME=/usr 2025-08-14T21:35:50.5844930Z VERBOSE_TEST_LOGS=False 2025-08-14T21:35:50.5845091Z GITHUB_REF=refs/heads/main 2025-08-14T21:35:50.5845257Z SHARD_NUMBER=1 2025-08-14T21:35:50.5845406Z GITHUB_REF_PROTECTED=true 2025-08-14T21:35:50.5845569Z HOME=/var/lib/jenkins 2025-08-14T21:35:50.5845739Z GITHUB_API_URL=https://api.github.com 2025-08-14T21:35:50.5846291Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-08-14T21:35:50.5848907Z LANG=C.UTF-8 2025-08-14T21:35:50.5849088Z UCX_COMMIT=cc312eaa4655c0cc5c2bcd796db938f90563bcf6 2025-08-14T21:35:50.5849288Z PYTORCH_TEST_WITH_ROCM=1 2025-08-14T21:35:50.5849433Z NUM_TEST_SHARDS=2 2025-08-14T21:35:50.5849560Z UCX_HOME=/usr 2025-08-14T21:35:50.5849842Z GITHUB_STATE=/home/runner/_work/_temp/_runner_file_commands/save_state_b8ffaec8-ddc1-475a-b199-196700be953a 2025-08-14T21:35:50.5850300Z JOB_NAME=rocm-py3_10-periodic-dynamo-benchmarks / test (aot_eager_torchbench, 1, 2, linux.rocm.gpu.gfx942.1) 2025-08-14T21:35:50.5850616Z MAGMA_HOME=/opt/rocm/magma 2025-08-14T21:35:50.5850893Z GITHUB_ENV=/home/runner/_work/_temp/_runner_file_commands/set_env_b8ffaec8-ddc1-475a-b199-196700be953a 2025-08-14T21:35:50.5851265Z GITHUB_EVENT_PATH=/home/runner/_work/_temp/_github_workflow/event.json 2025-08-14T21:35:50.5851496Z GITHUB_EVENT_NAME=schedule 2025-08-14T21:35:50.5853289Z GITHUB_ACTIONS_RUNNER_EXTRA_USER_AGENT=actions-runner-controller/0.11.0 2025-08-14T21:35:50.5853528Z DASHBOARD_TAG= 2025-08-14T21:35:50.5853661Z GITHUB_RUN_ID=16976338999 2025-08-14T21:35:50.5853963Z GITHUB_STEP_SUMMARY=/home/runner/_work/_temp/_runner_file_commands/step_summary_b8ffaec8-ddc1-475a-b199-196700be953a 2025-08-14T21:35:50.5854294Z GITHUB_ACTOR=pytorchmergebot 2025-08-14T21:35:50.5854448Z PR_NUMBER= 2025-08-14T21:35:50.5854574Z GITHUB_RUN_ATTEMPT=1 2025-08-14T21:35:50.5854718Z ANACONDA_PYTHON_VERSION=3.10 2025-08-14T21:35:50.5854998Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-08-14T21:35:50.5855189Z TERM=vt100 2025-08-14T21:35:50.5855313Z INSTALLED_VISION=yes 2025-08-14T21:35:50.5856865Z BRANCH=main 2025-08-14T21:35:50.5856996Z OPENSSL_ROOT_DIR=/opt/openssl 2025-08-14T21:35:50.5857150Z TESTS_TO_INCLUDE= 2025-08-14T21:35:50.5857592Z GITHUB_ACTION_PATH=/home/runner/_work/pytorch/pytorch/./.github/actions/setup-rocm 2025-08-14T21:35:50.5858097Z GITHUB_SERVER_URL=https://github.com 2025-08-14T21:35:50.5858287Z PYTORCH_ROCM_ARCH=gfx90a;gfx942 2025-08-14T21:35:50.5858474Z UCC_COMMIT=0c0fc21559835044ab107199e334f7157d6a0d3d 2025-08-14T21:35:50.5858662Z REENABLED_ISSUES= 2025-08-14T21:35:50.5858789Z SHLVL=1 2025-08-14T21:35:50.5858904Z MAX_JOBS=158 2025-08-14T21:35:50.5859031Z GITHUB_ACTOR_ID=97764156 2025-08-14T21:35:50.5860754Z GITHUB_WORKFLOW_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:50.5860963Z GITHUB_REF_NAME=main 2025-08-14T21:35:50.5861099Z ROCM_PATH=/opt/rocm 2025-08-14T21:35:50.5861228Z GITHUB_JOB=test 2025-08-14T21:35:50.5861363Z NO_TEST_TIMEOUT=False 2025-08-14T21:35:50.5861515Z GITHUB_REPOSITORY=pytorch/pytorch 2025-08-14T21:35:50.5861677Z LC_ALL=C.UTF-8 2025-08-14T21:35:50.5861807Z GITHUB_RETENTION_DAYS=90 2025-08-14T21:35:50.5861957Z OPENSSL_DIR=/opt/openssl 2025-08-14T21:35:50.5862107Z GITHUB_ACTION_REPOSITORY= 2025-08-14T21:35:50.5862631Z 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 2025-08-14T21:35:50.5864535Z GITHUB_BASE_REF= 2025-08-14T21:35:50.5864661Z CI=true 2025-08-14T21:35:50.5864788Z GITHUB_REPOSITORY_OWNER=pytorch 2025-08-14T21:35:50.5864942Z JOB_ID=48128598958 2025-08-14T21:35:50.5865071Z GITHUB_HEAD_REF= 2025-08-14T21:35:50.5865199Z GITHUB_ACTION_REF= 2025-08-14T21:35:50.5865332Z TEST_SHOWLOCALS=False 2025-08-14T21:35:50.5865485Z GITHUB_WORKFLOW=inductor-periodic 2025-08-14T21:35:50.5865657Z DEBIAN_FRONTEND=noninteractive 2025-08-14T21:35:50.5865956Z GITHUB_OUTPUT=/home/runner/_work/_temp/_runner_file_commands/set_output_b8ffaec8-ddc1-475a-b199-196700be953a 2025-08-14T21:35:50.5866259Z NO_TD=False 2025-08-14T21:35:50.5867717Z OLDPWD=/var/lib/jenkins 2025-08-14T21:35:50.5867855Z _=/usr/bin/env 2025-08-14T21:35:50.5868158Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-08-14T21:35:50.5978911Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch 2025-08-14T21:35:50.5980707Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-08-14T21:35:50.5980945Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib 2025-08-14T21:35:50.5981184Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test 2025-08-14T21:35:50.5981374Z + BUILD_DIR=build 2025-08-14T21:35:50.5981505Z + BUILD_RENAMED_DIR=build_renamed 2025-08-14T21:35:50.5981647Z + BUILD_BIN_DIR=build/bin 2025-08-14T21:35:50.5988669Z + SHARD_NUMBER=1 2025-08-14T21:35:50.5988836Z + NUM_TEST_SHARDS=2 2025-08-14T21:35:50.5988975Z + export TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:35:50.5989130Z + TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:35:50.5989254Z + export VALGRIND=ON 2025-08-14T21:35:50.5989350Z + VALGRIND=ON 2025-08-14T21:35:50.5989453Z + [[ linux-jammy-rocm-py3_10 == *clang9* ]] 2025-08-14T21:35:50.5989614Z + [[ linux-jammy-rocm-py3_10 == *xpu* ]] 2025-08-14T21:35:50.5989741Z + [[ linux-jammy-rocm-py3_10 == *s390x* ]] 2025-08-14T21:35:50.5989854Z + [[ 0 == \1 ]] 2025-08-14T21:35:50.5989945Z + [[ True == \1 ]] 2025-08-14T21:35:50.5990047Z + [[ linux-jammy-rocm-py3_10 != *bazel* ]] 2025-08-14T21:35:50.5990187Z ++ realpath build/custom_test_artifacts 2025-08-14T21:35:50.6035928Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/pytorch/build/custom_test_artifacts 2025-08-14T21:35:50.6040014Z + [[ -n '' ]] 2025-08-14T21:35:50.6040934Z + echo 'Environment variables' 2025-08-14T21:35:50.6041219Z Environment variables 2025-08-14T21:35:50.6041393Z + env 2025-08-14T21:35:50.6087004Z GITHUB_WORKSPACE=/home/runner/_work/pytorch/pytorch 2025-08-14T21:35:50.6087398Z CONTINUE_THROUGH_ERROR=True 2025-08-14T21:35:50.6087634Z BUILD_ENVIRONMENT=linux-jammy-rocm-py3_10 2025-08-14T21:35:50.6088055Z HOSTNAME=linux.rocm.gpu.gfx942.1-ccq8d-runner-2pgm2 2025-08-14T21:35:50.6088410Z GITHUB_PATH=/home/runner/_work/_temp/_runner_file_commands/add_path_b8ffaec8-ddc1-475a-b199-196700be953a 2025-08-14T21:35:50.6089354Z GITHUB_ACTION=__self 2025-08-14T21:35:50.6095138Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-08-14T21:35:50.6108532Z GITHUB_RUN_NUMBER=66307 2025-08-14T21:35:50.6108909Z TEST_CONFIG=aot_eager_torchbench 2025-08-14T21:35:50.6109137Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-08-14T21:35:50.6109432Z AWS_DEFAULT_REGION=us-east-1 2025-08-14T21:35:50.6109686Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-08-14T21:35:50.6109871Z GITHUB_REF_TYPE=branch 2025-08-14T21:35:50.6110141Z *** 2025-08-14T21:35:50.6110265Z GITHUB_REPOSITORY_ID=65600975 2025-08-14T21:35:50.6110422Z GITHUB_ACTIONS=true 2025-08-14T21:35:50.6110577Z SHA1=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:50.6113416Z GITHUB_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:50.6113733Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-periodic.yml@refs/heads/main 2025-08-14T21:35:50.6114012Z UCC_HOME=/usr 2025-08-14T21:35:50.6114154Z TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:35:50.6114311Z VERBOSE_TEST_LOGS=False 2025-08-14T21:35:50.6114457Z GITHUB_REF=refs/heads/main 2025-08-14T21:35:50.6114599Z SHARD_NUMBER=1 2025-08-14T21:35:50.6114739Z GITHUB_REF_PROTECTED=true 2025-08-14T21:35:50.6114974Z HOME=/var/lib/jenkins 2025-08-14T21:35:50.6115156Z GITHUB_API_URL=https://api.github.com 2025-08-14T21:35:50.6115450Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-08-14T21:35:50.6115656Z LANG=C.UTF-8 2025-08-14T21:35:50.6117756Z UCX_COMMIT=cc312eaa4655c0cc5c2bcd796db938f90563bcf6 2025-08-14T21:35:50.6118196Z PYTORCH_TEST_WITH_ROCM=1 2025-08-14T21:35:50.6118374Z NUM_TEST_SHARDS=2 2025-08-14T21:35:50.6118609Z UCX_HOME=/usr 2025-08-14T21:35:50.6118925Z GITHUB_STATE=/home/runner/_work/_temp/_runner_file_commands/save_state_b8ffaec8-ddc1-475a-b199-196700be953a 2025-08-14T21:35:50.6119477Z JOB_NAME=rocm-py3_10-periodic-dynamo-benchmarks / test (aot_eager_torchbench, 1, 2, linux.rocm.gpu.gfx942.1) 2025-08-14T21:35:50.6119894Z MAGMA_HOME=/opt/rocm/magma 2025-08-14T21:35:50.6120204Z GITHUB_ENV=/home/runner/_work/_temp/_runner_file_commands/set_env_b8ffaec8-ddc1-475a-b199-196700be953a 2025-08-14T21:35:50.6120899Z GITHUB_EVENT_PATH=/home/runner/_work/_temp/_github_workflow/event.json 2025-08-14T21:35:50.6121242Z GITHUB_EVENT_NAME=schedule 2025-08-14T21:35:50.6123470Z GITHUB_ACTIONS_RUNNER_EXTRA_USER_AGENT=actions-runner-controller/0.11.0 2025-08-14T21:35:50.6123726Z DASHBOARD_TAG= 2025-08-14T21:35:50.6123939Z GITHUB_RUN_ID=16976338999 2025-08-14T21:35:50.6124294Z GITHUB_STEP_SUMMARY=/home/runner/_work/_temp/_runner_file_commands/step_summary_b8ffaec8-ddc1-475a-b199-196700be953a 2025-08-14T21:35:50.6124728Z GITHUB_ACTOR=pytorchmergebot 2025-08-14T21:35:50.6124914Z PR_NUMBER= 2025-08-14T21:35:50.6125141Z GITHUB_RUN_ATTEMPT=1 2025-08-14T21:35:50.6125315Z VALGRIND=ON 2025-08-14T21:35:50.6125544Z ANACONDA_PYTHON_VERSION=3.10 2025-08-14T21:35:50.6125781Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-08-14T21:35:50.6125970Z TERM=vt100 2025-08-14T21:35:50.6128010Z INSTALLED_VISION=yes 2025-08-14T21:35:50.6128196Z BRANCH=main 2025-08-14T21:35:50.6128452Z OPENSSL_ROOT_DIR=/opt/openssl 2025-08-14T21:35:50.6128636Z TESTS_TO_INCLUDE= 2025-08-14T21:35:50.6128970Z GITHUB_ACTION_PATH=/home/runner/_work/pytorch/pytorch/./.github/actions/setup-rocm 2025-08-14T21:35:50.6129342Z GITHUB_SERVER_URL=https://github.com 2025-08-14T21:35:50.6129556Z PYTORCH_ROCM_ARCH=gfx90a;gfx942 2025-08-14T21:35:50.6129845Z UCC_COMMIT=0c0fc21559835044ab107199e334f7157d6a0d3d 2025-08-14T21:35:50.6130143Z REENABLED_ISSUES= 2025-08-14T21:35:50.6130301Z SHLVL=1 2025-08-14T21:35:50.6132348Z MAX_JOBS=158 2025-08-14T21:35:50.6132547Z GITHUB_ACTOR_ID=97764156 2025-08-14T21:35:50.6132842Z GITHUB_WORKFLOW_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:50.6133154Z GITHUB_REF_NAME=main 2025-08-14T21:35:50.6133335Z ROCM_PATH=/opt/rocm 2025-08-14T21:35:50.6133568Z GITHUB_JOB=test 2025-08-14T21:35:50.6133746Z NO_TEST_TIMEOUT=False 2025-08-14T21:35:50.6133999Z GITHUB_REPOSITORY=pytorch/pytorch 2025-08-14T21:35:50.6134259Z LC_ALL=C.UTF-8 2025-08-14T21:35:50.6134385Z GITHUB_RETENTION_DAYS=90 2025-08-14T21:35:50.6134637Z OPENSSL_DIR=/opt/openssl 2025-08-14T21:35:50.6136804Z GITHUB_ACTION_REPOSITORY= 2025-08-14T21:35:50.6137435Z 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 2025-08-14T21:35:50.6138163Z GITHUB_BASE_REF= 2025-08-14T21:35:50.6138333Z CI=true 2025-08-14T21:35:50.6138561Z GITHUB_REPOSITORY_OWNER=pytorch 2025-08-14T21:35:50.6138745Z JOB_ID=48128598958 2025-08-14T21:35:50.6138976Z GITHUB_HEAD_REF= 2025-08-14T21:35:50.6139176Z GITHUB_ACTION_REF= 2025-08-14T21:35:50.6139311Z TEST_SHOWLOCALS=False 2025-08-14T21:35:50.6139465Z GITHUB_WORKFLOW=inductor-periodic 2025-08-14T21:35:50.6141358Z DEBIAN_FRONTEND=noninteractive 2025-08-14T21:35:50.6141675Z GITHUB_OUTPUT=/home/runner/_work/_temp/_runner_file_commands/set_output_b8ffaec8-ddc1-475a-b199-196700be953a 2025-08-14T21:35:50.6141983Z NO_TD=False 2025-08-14T21:35:50.6142109Z OLDPWD=/var/lib/jenkins 2025-08-14T21:35:50.6142252Z _=/usr/bin/env 2025-08-14T21:35:50.6142465Z + echo 'Testing pytorch' 2025-08-14T21:35:50.6142656Z Testing pytorch 2025-08-14T21:35:50.6142886Z + export LANG=C.UTF-8 2025-08-14T21:35:50.6143074Z + LANG=C.UTF-8 2025-08-14T21:35:50.6143198Z + PR_NUMBER= 2025-08-14T21:35:50.6143341Z + [[ aot_eager_torchbench == \d\e\f\a\u\l\t ]] 2025-08-14T21:35:50.6145249Z + [[ aot_eager_torchbench == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-08-14T21:35:50.6145529Z + [[ aot_eager_torchbench == \s\l\o\w ]] 2025-08-14T21:35:50.6145781Z + [[ linux-jammy-rocm-py3_10 == *slow-gradcheck* ]] 2025-08-14T21:35:50.6146085Z + [[ linux-jammy-rocm-py3_10 == *cuda* ]] 2025-08-14T21:35:50.6146309Z + [[ linux-jammy-rocm-py3_10 == *rocm* ]] 2025-08-14T21:35:50.6146610Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-08-14T21:35:50.6146835Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-08-14T21:35:50.6147117Z + [[ aot_eager_torchbench == *crossref* ]] 2025-08-14T21:35:50.6147339Z + [[ linux-jammy-rocm-py3_10 == *rocm* ]] 2025-08-14T21:35:50.6147511Z + export VALGRIND=OFF 2025-08-14T21:35:50.6147747Z + VALGRIND=OFF 2025-08-14T21:35:50.6150267Z + rocminfo 2025-08-14T21:35:50.7512274Z ROCk module version 6.12.12 is loaded 2025-08-14T21:35:50.8588320Z ===================== 2025-08-14T21:35:50.8588536Z HSA System Attributes 2025-08-14T21:35:50.8588715Z ===================== 2025-08-14T21:35:50.8588886Z Runtime Version: 1.15 2025-08-14T21:35:50.8589501Z Runtime Ext Version: 1.7 2025-08-14T21:35:50.8595923Z System Timestamp Freq.: 1000.000000MHz 2025-08-14T21:35:50.8596331Z Sig. Max Wait Duration: 18446744073709551615 (0xFFFFFFFFFFFFFFFF) (timestamp count) 2025-08-14T21:35:50.8596654Z Machine Model: LARGE 2025-08-14T21:35:50.8596907Z System Endianness: LITTLE 2025-08-14T21:35:50.8597129Z Mwaitx: DISABLED 2025-08-14T21:35:50.8597345Z XNACK enabled: NO 2025-08-14T21:35:50.8597510Z DMAbuf Support: YES 2025-08-14T21:35:50.8597666Z VMM Support: YES 2025-08-14T21:35:50.8597771Z 2025-08-14T21:35:50.8597841Z ========== 2025-08-14T21:35:50.8598114Z HSA Agents 2025-08-14T21:35:50.8598259Z ========== 2025-08-14T21:35:50.8598403Z ******* 2025-08-14T21:35:50.8598549Z Agent 1 2025-08-14T21:35:50.8598696Z ******* 2025-08-14T21:35:50.8598881Z Name: AMD EPYC 9575F 64-Core Processor 2025-08-14T21:35:50.8599108Z Uuid: CPU-XX 2025-08-14T21:35:50.8602405Z Marketing Name: AMD EPYC 9575F 64-Core Processor 2025-08-14T21:35:50.8602662Z Vendor Name: CPU 2025-08-14T21:35:50.8602897Z Feature: None specified 2025-08-14T21:35:50.8603573Z Profile: FULL_PROFILE 2025-08-14T21:35:50.8603798Z Float Round Mode: NEAR 2025-08-14T21:35:50.8604029Z Max Queue Number: 0(0x0) 2025-08-14T21:35:50.8604249Z Queue Min Size: 0(0x0) 2025-08-14T21:35:50.8604462Z Queue Max Size: 0(0x0) 2025-08-14T21:35:50.8604674Z Queue Type: MULTI 2025-08-14T21:35:50.8604874Z Node: 0 2025-08-14T21:35:50.8605077Z Device Type: CPU 2025-08-14T21:35:50.8605272Z Cache Info: 2025-08-14T21:35:50.8605439Z L1: 65536(0x10000) KB 2025-08-14T21:35:50.8607417Z Chip ID: 0(0x0) 2025-08-14T21:35:50.8607639Z ASIC Revision: 0(0x0) 2025-08-14T21:35:50.8607971Z Cacheline Size: 64(0x40) 2025-08-14T21:35:50.8608202Z Max Clock Freq. (MHz): 0 2025-08-14T21:35:50.8608416Z BDFID: 0 2025-08-14T21:35:50.8608627Z Internal Node ID: 0 2025-08-14T21:35:50.8608845Z Compute Unit: 80 2025-08-14T21:35:50.8609057Z SIMDs per CU: 0 2025-08-14T21:35:50.8609271Z Shader Engines: 0 2025-08-14T21:35:50.8609494Z Shader Arrs. per Eng.: 0 2025-08-14T21:35:50.8609723Z WatchPts on Addr. Ranges:1 2025-08-14T21:35:50.8611382Z Memory Properties: 2025-08-14T21:35:50.8611544Z Features: None 2025-08-14T21:35:50.8611698Z Pool Info: 2025-08-14T21:35:50.8611854Z Pool 1 2025-08-14T21:35:50.8612040Z Segment: GLOBAL; FLAGS: FINE GRAINED 2025-08-14T21:35:50.8612430Z Size: 660508064(0x275e8da0) KB 2025-08-14T21:35:50.8612643Z Allocatable: TRUE 2025-08-14T21:35:50.8612867Z Alloc Granule: 4KB 2025-08-14T21:35:50.8613103Z Alloc Recommended Granule:4KB 2025-08-14T21:35:50.8613337Z Alloc Alignment: 4KB 2025-08-14T21:35:50.8613565Z Accessible by all: TRUE 2025-08-14T21:35:50.8615207Z Pool 2 2025-08-14T21:35:50.8615401Z Segment: GLOBAL; FLAGS: EXTENDED FINE GRAINED 2025-08-14T21:35:50.8615621Z Size: 660508064(0x275e8da0) KB 2025-08-14T21:35:50.8615841Z Allocatable: TRUE 2025-08-14T21:35:50.8616065Z Alloc Granule: 4KB 2025-08-14T21:35:50.8616307Z Alloc Recommended Granule:4KB 2025-08-14T21:35:50.8616544Z Alloc Alignment: 4KB 2025-08-14T21:35:50.8616774Z Accessible by all: TRUE 2025-08-14T21:35:50.8616973Z Pool 3 2025-08-14T21:35:50.8617155Z Segment: GLOBAL; FLAGS: KERNARG, FINE GRAINED 2025-08-14T21:35:50.8617367Z Size: 660508064(0x275e8da0) KB 2025-08-14T21:35:50.8619089Z Allocatable: TRUE 2025-08-14T21:35:50.8619315Z Alloc Granule: 4KB 2025-08-14T21:35:50.8619549Z Alloc Recommended Granule:4KB 2025-08-14T21:35:50.8619857Z Alloc Alignment: 4KB 2025-08-14T21:35:50.8620085Z Accessible by all: TRUE 2025-08-14T21:35:50.8620283Z Pool 4 2025-08-14T21:35:50.8620471Z Segment: GLOBAL; FLAGS: COARSE GRAINED 2025-08-14T21:35:50.8620681Z Size: 660508064(0x275e8da0) KB 2025-08-14T21:35:50.8620898Z Allocatable: TRUE 2025-08-14T21:35:50.8621119Z Alloc Granule: 4KB 2025-08-14T21:35:50.8621353Z Alloc Recommended Granule:4KB 2025-08-14T21:35:50.8622996Z Alloc Alignment: 4KB 2025-08-14T21:35:50.8623227Z Accessible by all: TRUE 2025-08-14T21:35:50.8623423Z ISA Info: 2025-08-14T21:35:50.8623568Z ******* 2025-08-14T21:35:50.8623715Z Agent 2 2025-08-14T21:35:50.8623851Z ******* 2025-08-14T21:35:50.8624014Z Name: AMD EPYC 9575F 64-Core Processor 2025-08-14T21:35:50.8624225Z Uuid: CPU-XX 2025-08-14T21:35:50.8624444Z Marketing Name: AMD EPYC 9575F 64-Core Processor 2025-08-14T21:35:50.8624671Z Vendor Name: CPU 2025-08-14T21:35:50.8624883Z Feature: None specified 2025-08-14T21:35:50.8626458Z Profile: FULL_PROFILE 2025-08-14T21:35:50.8626680Z Float Round Mode: NEAR 2025-08-14T21:35:50.8626901Z Max Queue Number: 0(0x0) 2025-08-14T21:35:50.8627118Z Queue Min Size: 0(0x0) 2025-08-14T21:35:50.8627331Z Queue Max Size: 0(0x0) 2025-08-14T21:35:50.8630444Z Queue Type: MULTI 2025-08-14T21:35:50.8631855Z Node: 1 2025-08-14T21:35:50.8632445Z Device Type: CPU 2025-08-14T21:35:50.8632609Z Cache Info: 2025-08-14T21:35:50.8639579Z L1: 65536(0x10000) KB 2025-08-14T21:35:50.8639778Z Chip ID: 0(0x0) 2025-08-14T21:35:50.8639968Z ASIC Revision: 0(0x0) 2025-08-14T21:35:50.8640141Z Cacheline Size: 64(0x40) 2025-08-14T21:35:50.8640380Z Max Clock Freq. (MHz): 0 2025-08-14T21:35:50.8640537Z BDFID: 0 2025-08-14T21:35:50.8640690Z Internal Node ID: 1 2025-08-14T21:35:50.8640848Z Compute Unit: 80 2025-08-14T21:35:50.8641008Z SIMDs per CU: 0 2025-08-14T21:35:50.8641158Z Shader Engines: 0 2025-08-14T21:35:50.8641329Z Shader Arrs. per Eng.: 0 2025-08-14T21:35:50.8641502Z WatchPts on Addr. Ranges:1 2025-08-14T21:35:50.8641654Z Memory Properties: 2025-08-14T21:35:50.8641776Z Features: None 2025-08-14T21:35:50.8641894Z Pool Info: 2025-08-14T21:35:50.8642009Z Pool 1 2025-08-14T21:35:50.8642151Z Segment: GLOBAL; FLAGS: FINE GRAINED 2025-08-14T21:35:50.8642318Z Size: 660522872(0x275ec778) KB 2025-08-14T21:35:50.8642479Z Allocatable: TRUE 2025-08-14T21:35:50.8642635Z Alloc Granule: 4KB 2025-08-14T21:35:50.8642954Z Alloc Recommended Granule:4KB 2025-08-14T21:35:50.8643120Z Alloc Alignment: 4KB 2025-08-14T21:35:50.8643289Z Accessible by all: TRUE 2025-08-14T21:35:50.8643432Z Pool 2 2025-08-14T21:35:50.8645268Z Segment: GLOBAL; FLAGS: EXTENDED FINE GRAINED 2025-08-14T21:35:50.8645438Z Size: 660522872(0x275ec778) KB 2025-08-14T21:35:50.8645589Z Allocatable: TRUE 2025-08-14T21:35:50.8645747Z Alloc Granule: 4KB 2025-08-14T21:35:50.8645910Z Alloc Recommended Granule:4KB 2025-08-14T21:35:50.8646074Z Alloc Alignment: 4KB 2025-08-14T21:35:50.8646231Z Accessible by all: TRUE 2025-08-14T21:35:50.8646376Z Pool 3 2025-08-14T21:35:50.8646505Z Segment: GLOBAL; FLAGS: KERNARG, FINE GRAINED 2025-08-14T21:35:50.8646656Z Size: 660522872(0x275ec778) KB 2025-08-14T21:35:50.8646801Z Allocatable: TRUE 2025-08-14T21:35:50.8648202Z Alloc Granule: 4KB 2025-08-14T21:35:50.8648372Z Alloc Recommended Granule:4KB 2025-08-14T21:35:50.8648534Z Alloc Alignment: 4KB 2025-08-14T21:35:50.8648693Z Accessible by all: TRUE 2025-08-14T21:35:50.8648832Z Pool 4 2025-08-14T21:35:50.8648958Z Segment: GLOBAL; FLAGS: COARSE GRAINED 2025-08-14T21:35:50.8649104Z Size: 660522872(0x275ec778) KB 2025-08-14T21:35:50.8649248Z Allocatable: TRUE 2025-08-14T21:35:50.8649404Z Alloc Granule: 4KB 2025-08-14T21:35:50.8649645Z Alloc Recommended Granule:4KB 2025-08-14T21:35:50.8649809Z Alloc Alignment: 4KB 2025-08-14T21:35:50.8651029Z Accessible by all: TRUE 2025-08-14T21:35:50.8651172Z ISA Info: 2025-08-14T21:35:50.8651276Z ******* 2025-08-14T21:35:50.8651375Z Agent 3 2025-08-14T21:35:50.8651472Z ******* 2025-08-14T21:35:50.8651586Z Name: gfx942 2025-08-14T21:35:50.8651731Z Uuid: GPU-7cab631a1082f650 2025-08-14T21:35:50.8651888Z Marketing Name: AMD Instinct Mi325X VF 2025-08-14T21:35:50.8652045Z Vendor Name: AMD 2025-08-14T21:35:50.8652199Z Feature: KERNEL_DISPATCH 2025-08-14T21:35:50.8652348Z Profile: BASE_PROFILE 2025-08-14T21:35:50.8653527Z Float Round Mode: NEAR 2025-08-14T21:35:50.8653683Z Max Queue Number: 128(0x80) 2025-08-14T21:35:50.8653834Z Queue Min Size: 64(0x40) 2025-08-14T21:35:50.8653982Z Queue Max Size: 131072(0x20000) 2025-08-14T21:35:50.8654131Z Queue Type: MULTI 2025-08-14T21:35:50.8654271Z Node: 2 2025-08-14T21:35:50.8654414Z Device Type: GPU 2025-08-14T21:35:50.8654545Z Cache Info: 2025-08-14T21:35:50.8654659Z L1: 32(0x20) KB 2025-08-14T21:35:50.8654928Z L2: 4096(0x1000) KB 2025-08-14T21:35:50.8655056Z L3: 262144(0x40000) KB 2025-08-14T21:35:50.8656215Z Chip ID: 29881(0x74b9) 2025-08-14T21:35:50.8656361Z ASIC Revision: 1(0x1) 2025-08-14T21:35:50.8656513Z Cacheline Size: 128(0x80) 2025-08-14T21:35:50.8656668Z Max Clock Freq. (MHz): 2100 2025-08-14T21:35:50.8656814Z BDFID: 33536 2025-08-14T21:35:50.8656958Z Internal Node ID: 2 2025-08-14T21:35:50.8657107Z Compute Unit: 304 2025-08-14T21:35:50.8657254Z SIMDs per CU: 4 2025-08-14T21:35:50.8657403Z Shader Engines: 32 2025-08-14T21:35:50.8657559Z Shader Arrs. per Eng.: 1 2025-08-14T21:35:50.8657723Z WatchPts on Addr. Ranges:4 2025-08-14T21:35:50.8658973Z Coherent Host Access: FALSE 2025-08-14T21:35:50.8659119Z Memory Properties: 2025-08-14T21:35:50.8659235Z Features: KERNEL_DISPATCH 2025-08-14T21:35:50.8659379Z Fast F16 Operation: TRUE 2025-08-14T21:35:50.8659536Z Wavefront Size: 64(0x40) 2025-08-14T21:35:50.8659693Z Workgroup Max Size: 1024(0x400) 2025-08-14T21:35:50.8659836Z Workgroup Max Size per Dimension: 2025-08-14T21:35:50.8659960Z x 1024(0x400) 2025-08-14T21:35:50.8660087Z y 1024(0x400) 2025-08-14T21:35:50.8660211Z z 1024(0x400) 2025-08-14T21:35:50.8660347Z Max Waves Per CU: 32(0x20) 2025-08-14T21:35:50.8661495Z Max Work-item Per CU: 2048(0x800) 2025-08-14T21:35:50.8661649Z Grid Max Size: 4294967295(0xffffffff) 2025-08-14T21:35:50.8661845Z Grid Max Size per Dimension: 2025-08-14T21:35:50.8661959Z x 4294967295(0xffffffff) 2025-08-14T21:35:50.8662087Z y 4294967295(0xffffffff) 2025-08-14T21:35:50.8662213Z z 4294967295(0xffffffff) 2025-08-14T21:35:50.8662358Z Max fbarriers/Workgrp: 32 2025-08-14T21:35:50.8662582Z Packet Processor uCode:: 177 2025-08-14T21:35:50.8662743Z SDMA engine uCode:: 24 2025-08-14T21:35:50.8662898Z IOMMU Support:: None 2025-08-14T21:35:50.8663032Z Pool Info: 2025-08-14T21:35:50.8664142Z Pool 1 2025-08-14T21:35:50.8664273Z Segment: GLOBAL; FLAGS: COARSE GRAINED 2025-08-14T21:35:50.8664425Z Size: 268107776(0xffb0000) KB 2025-08-14T21:35:50.8664580Z Allocatable: TRUE 2025-08-14T21:35:50.8664736Z Alloc Granule: 4KB 2025-08-14T21:35:50.8664898Z Alloc Recommended Granule:2048KB 2025-08-14T21:35:50.8665061Z Alloc Alignment: 4KB 2025-08-14T21:35:50.8665217Z Accessible by all: FALSE 2025-08-14T21:35:50.8665353Z Pool 2 2025-08-14T21:35:50.8665480Z Segment: GLOBAL; FLAGS: EXTENDED FINE GRAINED 2025-08-14T21:35:50.8666600Z Size: 268107776(0xffb0000) KB 2025-08-14T21:35:50.8666750Z Allocatable: TRUE 2025-08-14T21:35:50.8666959Z Alloc Granule: 4KB 2025-08-14T21:35:50.8667119Z Alloc Recommended Granule:2048KB 2025-08-14T21:35:50.8667280Z Alloc Alignment: 4KB 2025-08-14T21:35:50.8667437Z Accessible by all: FALSE 2025-08-14T21:35:50.8667573Z Pool 3 2025-08-14T21:35:50.8667696Z Segment: GLOBAL; FLAGS: FINE GRAINED 2025-08-14T21:35:50.8667839Z Size: 268107776(0xffb0000) KB 2025-08-14T21:35:50.8668073Z Allocatable: TRUE 2025-08-14T21:35:50.8668223Z Alloc Granule: 4KB 2025-08-14T21:35:50.8669377Z Alloc Recommended Granule:2048KB 2025-08-14T21:35:50.8669542Z Alloc Alignment: 4KB 2025-08-14T21:35:50.8669702Z Accessible by all: FALSE 2025-08-14T21:35:50.8669837Z Pool 4 2025-08-14T21:35:50.8669963Z Segment: GROUP 2025-08-14T21:35:50.8670101Z Size: 64(0x40) KB 2025-08-14T21:35:50.8670244Z Allocatable: FALSE 2025-08-14T21:35:50.8670396Z Alloc Granule: 0KB 2025-08-14T21:35:50.8670554Z Alloc Recommended Granule:0KB 2025-08-14T21:35:50.8670713Z Alloc Alignment: 0KB 2025-08-14T21:35:50.8670869Z Accessible by all: FALSE 2025-08-14T21:35:50.8671974Z ISA Info: 2025-08-14T21:35:50.8672081Z ISA 1 2025-08-14T21:35:50.8672210Z Name: amdgcn-amd-amdhsa--gfx942:sramecc+:xnack- 2025-08-14T21:35:50.8672378Z Machine Models: HSA_MACHINE_MODEL_LARGE 2025-08-14T21:35:50.8672603Z Profiles: HSA_PROFILE_BASE 2025-08-14T21:35:50.8672762Z Default Rounding Mode: NEAR 2025-08-14T21:35:50.8672923Z Default Rounding Mode: NEAR 2025-08-14T21:35:50.8673073Z Fast f16: TRUE 2025-08-14T21:35:50.8673225Z Workgroup Max Size: 1024(0x400) 2025-08-14T21:35:50.8673369Z Workgroup Max Size per Dimension: 2025-08-14T21:35:50.8673497Z x 1024(0x400) 2025-08-14T21:35:50.8674612Z y 1024(0x400) 2025-08-14T21:35:50.8674743Z z 1024(0x400) 2025-08-14T21:35:50.8674886Z Grid Max Size: 4294967295(0xffffffff) 2025-08-14T21:35:50.8675028Z Grid Max Size per Dimension: 2025-08-14T21:35:50.8675152Z x 4294967295(0xffffffff) 2025-08-14T21:35:50.8675289Z y 4294967295(0xffffffff) 2025-08-14T21:35:50.8675418Z z 4294967295(0xffffffff) 2025-08-14T21:35:50.8675565Z FBarrier Max Size: 32 2025-08-14T21:35:50.8675700Z ISA 2 2025-08-14T21:35:50.8675839Z Name: amdgcn-amd-amdhsa--gfx9-4-generic:sramecc+:xnack- 2025-08-14T21:35:50.8676013Z Machine Models: HSA_MACHINE_MODEL_LARGE 2025-08-14T21:35:50.8677185Z Profiles: HSA_PROFILE_BASE 2025-08-14T21:35:50.8677348Z Default Rounding Mode: NEAR 2025-08-14T21:35:50.8677511Z Default Rounding Mode: NEAR 2025-08-14T21:35:50.8677709Z Fast f16: TRUE 2025-08-14T21:35:50.8677861Z Workgroup Max Size: 1024(0x400) 2025-08-14T21:35:50.8678078Z Workgroup Max Size per Dimension: 2025-08-14T21:35:50.8678203Z x 1024(0x400) 2025-08-14T21:35:50.8678333Z y 1024(0x400) 2025-08-14T21:35:50.8678459Z z 1024(0x400) 2025-08-14T21:35:50.8678600Z Grid Max Size: 4294967295(0xffffffff) 2025-08-14T21:35:50.8678739Z Grid Max Size per Dimension: 2025-08-14T21:35:50.8679892Z x 4294967295(0xffffffff) 2025-08-14T21:35:50.8680024Z y 4294967295(0xffffffff) 2025-08-14T21:35:50.8680153Z z 4294967295(0xffffffff) 2025-08-14T21:35:50.8680303Z FBarrier Max Size: 32 2025-08-14T21:35:50.8680437Z *** Done *** 2025-08-14T21:35:50.8720387Z + rocminfo 2025-08-14T21:35:50.8750910Z + grep -E 'Name:.*\sgfx|Marketing' 2025-08-14T21:35:50.9513429Z Marketing Name: AMD EPYC 9575F 64-Core Processor 2025-08-14T21:35:50.9514610Z Marketing Name: AMD EPYC 9575F 64-Core Processor 2025-08-14T21:35:50.9514926Z Name: gfx942 2025-08-14T21:35:50.9520230Z Marketing Name: AMD Instinct Mi325X VF 2025-08-14T21:35:50.9581536Z + MAYBE_ROCM=rocm/ 2025-08-14T21:35:50.9581723Z + [[ linux-jammy-rocm-py3_10 == *xpu* ]] 2025-08-14T21:35:50.9581941Z + [[ linux-jammy-rocm-py3_10 != *-bazel-* ]] 2025-08-14T21:35:50.9582148Z + pip_install ninja==1.10.2 2025-08-14T21:35:50.9582384Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-08-14T21:35:50.9582707Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-08-14T21:35:51.3625032Z Collecting ninja==1.10.2 2025-08-14T21:35:51.4761072Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-08-14T21:35:51.5590444Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-08-14T21:35:52.0354368Z Installing collected packages: ninja 2025-08-14T21:35:52.0356344Z Attempting uninstall: ninja 2025-08-14T21:35:52.0356595Z Found existing installation: ninja 1.11.1.3 2025-08-14T21:35:52.0356750Z Uninstalling ninja-1.11.1.3: 2025-08-14T21:35:52.0789465Z Successfully uninstalled ninja-1.11.1.3 2025-08-14T21:35:52.1558120Z Successfully installed ninja-1.10.2 2025-08-14T21:35:52.2402937Z + 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 2025-08-14T21:35:52.2415328Z + 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 2025-08-14T21:35:52.2416572Z + [[ linux-jammy-rocm-py3_10 == *aarch64* ]] 2025-08-14T21:35:52.2417281Z + [[ linux-jammy-rocm-py3_10 == *asan* ]] 2025-08-14T21:35:52.2417515Z + [[ linux-jammy-rocm-py3_10 == *-debug* ]] 2025-08-14T21:35:52.2417667Z + [[ linux-jammy-rocm-py3_10 != *-bazel-* ]] 2025-08-14T21:35:52.2417941Z + echo 'We are not in debug mode: linux-jammy-rocm-py3_10. Expect the assertion to pass' 2025-08-14T21:35:52.2418194Z We are not in debug mode: linux-jammy-rocm-py3_10. Expect the assertion to pass 2025-08-14T21:35:52.2423933Z + cd test 2025-08-14T21:35:52.2424275Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-08-14T21:35:53.1493883Z + [[ aot_eager_torchbench == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-08-14T21:35:53.1494478Z + [[ aot_eager_torchbench == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-08-14T21:35:53.1494731Z + [[ aot_eager_torchbench == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-08-14T21:35:53.1495100Z + DYNAMO_BENCHMARK_FLAGS=() 2025-08-14T21:35:53.1495286Z + [[ aot_eager_torchbench == *pr_time_benchmarks* ]] 2025-08-14T21:35:53.1495495Z + [[ aot_eager_torchbench == *dynamo_eager* ]] 2025-08-14T21:35:53.1495684Z + [[ aot_eager_torchbench == *aot_eager* ]] 2025-08-14T21:35:53.1495897Z + DYNAMO_BENCHMARK_FLAGS+=(--backend aot_eager) 2025-08-14T21:35:53.1496089Z + [[ aot_eager_torchbench == *dynamic* ]] 2025-08-14T21:35:53.1496262Z + [[ aot_eager_torchbench == *cpu* ]] 2025-08-14T21:35:53.1496443Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-08-14T21:35:53.1509566Z + [[ linux-jammy-rocm-py3_10 == *libtorch* ]] 2025-08-14T21:35:53.1509922Z + [[ linux-jammy-rocm-py3_10 == *-bazel-* ]] 2025-08-14T21:35:53.1510487Z + cd test 2025-08-14T21:35:53.1512269Z + python -c 'import torch; print(torch.__config__.show())' 2025-08-14T21:35:53.8732539Z PyTorch built with: 2025-08-14T21:35:53.8734233Z - GCC 11.4 2025-08-14T21:35:53.8744855Z - C++ Version: 201703 2025-08-14T21:35:53.8745268Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-08-14T21:35:53.8745640Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-08-14T21:35:53.8745866Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-08-14T21:35:53.8746053Z - LAPACK is enabled (usually provided by MKL) 2025-08-14T21:35:53.8746220Z - NNPACK is enabled 2025-08-14T21:35:53.8746368Z - CPU capability usage: AVX512 2025-08-14T21:35:53.8746522Z - HIP Runtime 6.4.43484 2025-08-14T21:35:53.8746665Z - MIOpen 3.4.0 2025-08-14T21:35:53.8746778Z - Magma 2.7.2 2025-08-14T21:35:53.8749449Z - 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, 2025-08-14T21:35:53.8753774Z 2025-08-14T21:35:54.0733940Z + cd test 2025-08-14T21:35:54.0734273Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-08-14T21:35:55.1627823Z ATen/Parallel: 2025-08-14T21:35:55.1628534Z at::get_num_threads() : 160 2025-08-14T21:35:55.1628943Z at::get_num_interop_threads() : 160 2025-08-14T21:35:55.1629288Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-08-14T21:35:55.1629641Z omp_get_max_threads() : 160 2025-08-14T21:35:55.1630240Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-08-14T21:35:55.1630829Z mkl_get_max_threads() : 160 2025-08-14T21:35:55.1639515Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-08-14T21:35:55.1639702Z std::thread::hardware_concurrency() : 160 2025-08-14T21:35:55.1639828Z Environment variables: 2025-08-14T21:35:55.1639933Z OMP_NUM_THREADS : [not set] 2025-08-14T21:35:55.1640037Z MKL_NUM_THREADS : [not set] 2025-08-14T21:35:55.1640145Z ATen parallel backend: OpenMP 2025-08-14T21:35:55.1640550Z 2025-08-14T21:35:55.4700564Z + [[ aot_eager_torchbench == *numpy_2* ]] 2025-08-14T21:35:55.4701096Z + [[ linux-jammy-rocm-py3_10 == *aarch64* ]] 2025-08-14T21:35:55.4701429Z + [[ aot_eager_torchbench == *backward* ]] 2025-08-14T21:35:55.4701796Z + [[ aot_eager_torchbench == *xla* ]] 2025-08-14T21:35:55.4702094Z + [[ aot_eager_torchbench == *executorch* ]] 2025-08-14T21:35:55.4711737Z + [[ aot_eager_torchbench == \j\i\t\_\l\e\g\a\c\y ]] 2025-08-14T21:35:55.4712090Z + [[ linux-jammy-rocm-py3_10 == *libtorch* ]] 2025-08-14T21:35:55.4712389Z + [[ aot_eager_torchbench == distributed ]] 2025-08-14T21:35:55.4712703Z + [[ aot_eager_torchbench == *operator_benchmark* ]] 2025-08-14T21:35:55.4712987Z + [[ aot_eager_torchbench == *inductor_distributed* ]] 2025-08-14T21:35:55.4713224Z + [[ aot_eager_torchbench == *inductor-halide* ]] 2025-08-14T21:35:55.4713446Z + [[ aot_eager_torchbench == *inductor-triton-cpu* ]] 2025-08-14T21:35:55.4713691Z + [[ aot_eager_torchbench == *inductor-micro-benchmark* ]] 2025-08-14T21:35:55.4713935Z + [[ aot_eager_torchbench == *huggingface* ]] 2025-08-14T21:35:55.4714123Z + [[ aot_eager_torchbench == *timm* ]] 2025-08-14T21:35:55.4716599Z + [[ aot_eager_torchbench == cachebench ]] 2025-08-14T21:35:55.4716834Z + [[ aot_eager_torchbench == verify_cachebench ]] 2025-08-14T21:35:55.4717036Z + [[ aot_eager_torchbench == *torchbench* ]] 2025-08-14T21:35:55.4717232Z + install_torchaudio 2025-08-14T21:35:55.4717376Z + local commit 2025-08-14T21:35:55.4717519Z ++ get_pinned_commit audio 2025-08-14T21:35:55.4717690Z ++ cat .github/ci_commit_pins/audio.txt 2025-08-14T21:35:55.5656768Z + commit=bdb88e1d66f272cad72156c90ac8428ca61a601c 2025-08-14T21:35:55.5658843Z + pip_build_and_install git+https://github.com/pytorch/audio.git@bdb88e1d66f272cad72156c90ac8428ca61a601c dist/audio 2025-08-14T21:35:55.5666985Z + local build_target=git+https://github.com/pytorch/audio.git@bdb88e1d66f272cad72156c90ac8428ca61a601c 2025-08-14T21:35:55.5667247Z + local wheel_dir=dist/audio 2025-08-14T21:35:55.5667440Z + local found_whl=0 2025-08-14T21:35:55.5667574Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:35:55.5667713Z + [[ -f dist/audio/*.whl ]] 2025-08-14T21:35:55.5667843Z + '[' 0 == 0 ']' 2025-08-14T21:35:55.5668681Z + python3 -m pip wheel --no-build-isolation --no-deps --no-use-pep517 -w dist/audio git+https://github.com/pytorch/audio.git@bdb88e1d66f272cad72156c90ac8428ca61a601c 2025-08-14T21:35:56.0757313Z Collecting git+https://github.com/pytorch/audio.git@bdb88e1d66f272cad72156c90ac8428ca61a601c 2025-08-14T21:35:56.0758622Z Cloning https://github.com/pytorch/audio.git (to revision bdb88e1d66f272cad72156c90ac8428ca61a601c) to /tmp/pip-req-build-3ap9yxty 2025-08-14T21:35:56.1270174Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/audio.git /tmp/pip-req-build-3ap9yxty 2025-08-14T21:35:58.5513193Z Running command git rev-parse -q --verify 'sha^bdb88e1d66f272cad72156c90ac8428ca61a601c' 2025-08-14T21:35:58.5533555Z Running command git fetch -q https://github.com/pytorch/audio.git bdb88e1d66f272cad72156c90ac8428ca61a601c 2025-08-14T21:35:58.8278899Z Running command git checkout -q bdb88e1d66f272cad72156c90ac8428ca61a601c 2025-08-14T21:35:59.2989037Z Resolved https://github.com/pytorch/audio.git to commit bdb88e1d66f272cad72156c90ac8428ca61a601c 2025-08-14T21:35:59.2989949Z Running command git submodule update --init --recursive -q 2025-08-14T21:36:01.7369390Z Preparing metadata (setup.py) ... [?25l- done 2025-08-14T21:36:01.7393840Z [?25hBuilding wheels for collected packages: torchaudio 2025-08-14T21:36:01.7448087Z  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 2025-08-14T21:36:30.7419170Z  Building wheel for torchaudio (setup.py) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ done 2025-08-14T21:36:30.7472019Z [?25h Created wheel for torchaudio: filename=torchaudio-2.8.0a0+bdb88e1-cp310-cp310-linux_x86_64.whl size=1722138 sha256=63ba92ba33445b7559c6ca52b98866aa8cc39f277e09dde3a58e1d8a72f56db4 2025-08-14T21:36:30.7472512Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/b4/a4/54/a673a78ea28081dafa5ec044a02bdf57ec5f5e610b00c52087 2025-08-14T21:36:30.7472762Z Successfully built torchaudio 2025-08-14T21:36:30.8314355Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:36:30.8314734Z + pip_install_whl dist/audio/torchaudio-2.8.0a0+bdb88e1-cp310-cp310-linux_x86_64.whl 2025-08-14T21:36:30.8315097Z + args=('dist/audio/torchaudio-2.8.0a0+bdb88e1-cp310-cp310-linux_x86_64.whl') 2025-08-14T21:36:30.8315395Z + local args 2025-08-14T21:36:30.8315617Z + [[ dist/audio/torchaudio-2.8.0a0+bdb88e1-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-08-14T21:36:30.8315884Z + for path in "${args[@]}" 2025-08-14T21:36:30.8316154Z + echo 'Installing dist/audio/torchaudio-2.8.0a0+bdb88e1-cp310-cp310-linux_x86_64.whl' 2025-08-14T21:36:30.8316512Z Installing dist/audio/torchaudio-2.8.0a0+bdb88e1-cp310-cp310-linux_x86_64.whl 2025-08-14T21:36:30.8316937Z + python3 -mpip install --no-index --no-deps dist/audio/torchaudio-2.8.0a0+bdb88e1-cp310-cp310-linux_x86_64.whl 2025-08-14T21:36:31.0456390Z Processing ./dist/audio/torchaudio-2.8.0a0+bdb88e1-cp310-cp310-linux_x86_64.whl 2025-08-14T21:36:31.0520231Z Installing collected packages: torchaudio 2025-08-14T21:36:31.2149268Z Successfully installed torchaudio-2.8.0a0+bdb88e1 2025-08-14T21:36:31.2496011Z + install_torchvision 2025-08-14T21:36:31.2496199Z + local orig_preload 2025-08-14T21:36:31.2496310Z + local commit 2025-08-14T21:36:31.2496458Z ++ get_pinned_commit vision 2025-08-14T21:36:31.2496598Z ++ cat .github/ci_commit_pins/vision.txt 2025-08-14T21:36:31.2496749Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:36:31.2496892Z + orig_preload= 2025-08-14T21:36:31.2497534Z + '[' -n '' ']' 2025-08-14T21:36:31.2497644Z + [[ linux-jammy-rocm-py3_10 == *cuda* ]] 2025-08-14T21:36:31.2498070Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-08-14T21:36:31.2498404Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:36:31.2498623Z + local wheel_dir=dist/vision 2025-08-14T21:36:31.2498742Z + local found_whl=0 2025-08-14T21:36:31.2498853Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:36:31.2498979Z + [[ -f dist/vision/*.whl ]] 2025-08-14T21:36:31.2499091Z + '[' 0 == 0 ']' 2025-08-14T21:36:31.2499376Z + python3 -m pip wheel --no-build-isolation --no-deps --no-use-pep517 -w dist/vision git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:36:31.4175215Z Collecting git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:36:31.4184740Z Cloning https://github.com/pytorch/vision.git (to revision 966da7e46f65d6d49df3e31214470a4fe5cc8e66) to /tmp/pip-req-build-ddppz7sd 2025-08-14T21:36:31.4189596Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-ddppz7sd 2025-08-14T21:36:33.0938350Z Running command git rev-parse -q --verify 'sha^966da7e46f65d6d49df3e31214470a4fe5cc8e66' 2025-08-14T21:36:33.0948997Z Running command git fetch -q https://github.com/pytorch/vision.git 966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:36:33.3495080Z Running command git checkout -q 966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:36:33.7540103Z Resolved https://github.com/pytorch/vision.git to commit 966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:36:35.6859166Z Preparing metadata (setup.py) ... [?25l- \ | done 2025-08-14T21:36:35.6899525Z [?25hBuilding wheels for collected packages: torchvision 2025-08-14T21:36:35.6953890Z  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 2025-08-14T21:37:06.4685477Z  Building wheel for torchvision (setup.py) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - done 2025-08-14T21:37:06.4707833Z [?25h Created wheel for torchvision: filename=torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl size=1570492 sha256=ad6342940b1fb71da9c7463a8585f388dfa6979702566d2f7327a18375de713e 2025-08-14T21:37:06.4711194Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/9c/9d/3e/42fa2d5ac6ba44a90363f8fff0fa9e712e24d4f977637c81cb 2025-08-14T21:37:06.4731008Z Successfully built torchvision 2025-08-14T21:37:06.5282772Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:37:06.5283219Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-08-14T21:37:06.5283592Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl') 2025-08-14T21:37:06.5290082Z + local args 2025-08-14T21:37:06.5290337Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-08-14T21:37:06.5290634Z + for path in "${args[@]}" 2025-08-14T21:37:06.5290904Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl' 2025-08-14T21:37:06.5291214Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-08-14T21:37:06.5291580Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-08-14T21:37:06.6940439Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-08-14T21:37:06.6987041Z Installing collected packages: torchvision 2025-08-14T21:37:06.9036733Z Successfully installed torchvision-0.22.0a0+966da7e 2025-08-14T21:37:06.9246149Z + '[' -n '' ']' 2025-08-14T21:37:06.9246306Z + id=0 2025-08-14T21:37:06.9246464Z + pip_install opencv-python==4.8.0.74 2025-08-14T21:37:06.9246726Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-08-14T21:37:06.9247005Z + python3 -m pip install --progress-bar off opencv-python==4.8.0.74 2025-08-14T21:37:07.2809095Z Collecting opencv-python==4.8.0.74 2025-08-14T21:37:07.3668111Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB) 2025-08-14T21:37:07.3776232Z 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) 2025-08-14T21:37:07.4085477Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (61.7 MB) 2025-08-14T21:37:08.3768597Z Installing collected packages: opencv-python 2025-08-14T21:37:08.3768907Z Attempting uninstall: opencv-python 2025-08-14T21:37:08.3774560Z Found existing installation: opencv-python 4.11.0.86 2025-08-14T21:37:08.3808755Z Uninstalling opencv-python-4.11.0.86: 2025-08-14T21:37:08.5430912Z Successfully uninstalled opencv-python-4.11.0.86 2025-08-14T21:37:09.0783169Z Successfully installed opencv-python-4.8.0.74 2025-08-14T21:37:09.1533000Z + [[ aot_eager_torchbench == *inductor_torchbench_smoketest_perf* ]] 2025-08-14T21:37:09.1533467Z + [[ aot_eager_torchbench == *inductor_torchbench_cpu_smoketest_perf* ]] 2025-08-14T21:37:09.1533849Z + [[ aot_eager_torchbench == *torchbench_gcp_smoketest* ]] 2025-08-14T21:37:09.1540975Z + [[ aot_eager_torchbench != *cpu* ]] 2025-08-14T21:37:09.1541523Z + install_torchrec_and_fbgemm 2025-08-14T21:37:09.1541725Z + local torchrec_commit 2025-08-14T21:37:09.1541985Z ++ get_pinned_commit torchrec 2025-08-14T21:37:09.1542307Z ++ cat .github/ci_commit_pins/torchrec.txt 2025-08-14T21:37:09.1554421Z + torchrec_commit=6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2 2025-08-14T21:37:09.1554793Z + local fbgemm_commit 2025-08-14T21:37:09.1556808Z ++ get_pinned_commit fbgemm 2025-08-14T21:37:09.1557061Z ++ cat .github/ci_commit_pins/fbgemm.txt 2025-08-14T21:37:09.1568251Z + fbgemm_commit=de731af65b4f04696e85c729e3282450b51b95fd 2025-08-14T21:37:09.1575137Z + [[ linux-jammy-rocm-py3_10 == *rocm* ]] 2025-08-14T21:37:09.1580941Z ++ get_pinned_commit fbgemm_rocm 2025-08-14T21:37:09.1594498Z ++ cat .github/ci_commit_pins/fbgemm_rocm.txt 2025-08-14T21:37:09.1594791Z + fbgemm_commit=7f1de94a4c2d14f59ad4ca84538c36084ea6b2c8 2025-08-14T21:37:09.1595099Z + pip_uninstall torchrec-nightly 2025-08-14T21:37:09.1595291Z + pip3 uninstall -y torchrec-nightly 2025-08-14T21:37:09.3610810Z WARNING: Skipping torchrec-nightly as it is not installed. 2025-08-14T21:37:09.3829434Z + pip_uninstall fbgemm-gpu-nightly 2025-08-14T21:37:09.3829660Z + pip3 uninstall -y fbgemm-gpu-nightly 2025-08-14T21:37:09.5490116Z WARNING: Skipping fbgemm-gpu-nightly as it is not installed. 2025-08-14T21:37:09.5742349Z + pip_install setuptools-git-versioning scikit-build pyre-extensions 2025-08-14T21:37:09.5742958Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-08-14T21:37:09.5743248Z + python3 -m pip install --progress-bar off setuptools-git-versioning scikit-build pyre-extensions 2025-08-14T21:37:09.7406315Z Requirement already satisfied: setuptools-git-versioning in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (2.1.0) 2025-08-14T21:37:09.7406661Z Requirement already satisfied: scikit-build in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (0.18.1) 2025-08-14T21:37:09.7407768Z Requirement already satisfied: pyre-extensions in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (0.0.32) 2025-08-14T21:37:09.7413664Z Requirement already satisfied: packaging in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from setuptools-git-versioning) (25.0) 2025-08-14T21:37:09.7415353Z Requirement already satisfied: setuptools in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from setuptools-git-versioning) (80.9.0) 2025-08-14T21:37:09.7418562Z 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) 2025-08-14T21:37:09.7441499Z Requirement already satisfied: distro in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from scikit-build) (1.9.0) 2025-08-14T21:37:09.7442067Z 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) 2025-08-14T21:37:09.7446145Z Requirement already satisfied: typing-inspect in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from pyre-extensions) (0.9.0) 2025-08-14T21:37:09.7448037Z Requirement already satisfied: typing-extensions in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from pyre-extensions) (4.14.1) 2025-08-14T21:37:09.7484357Z 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) 2025-08-14T21:37:10.1853516Z + [[ linux-jammy-rocm-py3_10 == *rocm* ]] 2025-08-14T21:37:10.1853963Z + pip_build_and_install git+https://github.com/pytorch/torchrec.git@6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2 dist/torchrec 2025-08-14T21:37:10.1854393Z + local build_target=git+https://github.com/pytorch/torchrec.git@6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2 2025-08-14T21:37:10.1854674Z + local wheel_dir=dist/torchrec 2025-08-14T21:37:10.1854894Z + local found_whl=0 2025-08-14T21:37:10.1855032Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:37:10.1855194Z + [[ -f dist/torchrec/*.whl ]] 2025-08-14T21:37:10.1855332Z + '[' 0 == 0 ']' 2025-08-14T21:37:10.1856155Z + python3 -m pip wheel --no-build-isolation --no-deps --no-use-pep517 -w dist/torchrec git+https://github.com/pytorch/torchrec.git@6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2 2025-08-14T21:37:10.3462306Z Collecting git+https://github.com/pytorch/torchrec.git@6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2 2025-08-14T21:37:10.3466639Z Cloning https://github.com/pytorch/torchrec.git (to revision 6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2) to /tmp/pip-req-build-3d9vc6ed 2025-08-14T21:37:10.3473629Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/torchrec.git /tmp/pip-req-build-3d9vc6ed 2025-08-14T21:37:11.6334963Z Running command git rev-parse -q --verify 'sha^6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2' 2025-08-14T21:37:11.6335404Z Running command git fetch -q https://github.com/pytorch/torchrec.git 6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2 2025-08-14T21:37:11.8744267Z Running command git checkout -q 6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2 2025-08-14T21:37:12.3948363Z Resolved https://github.com/pytorch/torchrec.git to commit 6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2 2025-08-14T21:37:12.5068298Z Preparing metadata (setup.py) ... [?25l- done 2025-08-14T21:37:12.5143372Z [?25hBuilding wheels for collected packages: torchrec 2025-08-14T21:37:12.5145408Z  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 2025-08-14T21:37:12.7218885Z  Building wheel for torchrec (setup.py) ... [?25l- \ done 2025-08-14T21:37:12.7225154Z [?25h Created wheel for torchrec: filename=torchrec-0.3.2-py3-none-any.whl size=374580 sha256=50f14246647bde1e36da4bc73a799ab7bb02297aea903cfe73e07c08c9665657 2025-08-14T21:37:12.7226942Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/8e/a1/47/39ede01672ba82c08fb521bfc057cc4347e4b0e951738c8ca8 2025-08-14T21:37:12.7249146Z Successfully built torchrec 2025-08-14T21:37:12.7652783Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:37:12.7653014Z + pip_install_whl dist/torchrec/torchrec-0.3.2-py3-none-any.whl 2025-08-14T21:37:12.7659847Z + args=('dist/torchrec/torchrec-0.3.2-py3-none-any.whl') 2025-08-14T21:37:12.7660025Z + local args 2025-08-14T21:37:12.7661076Z + [[ dist/torchrec/torchrec-0.3.2-py3-none-any.whl == *\ * ]] 2025-08-14T21:37:12.7661357Z + for path in "${args[@]}" 2025-08-14T21:37:12.7661596Z + echo 'Installing dist/torchrec/torchrec-0.3.2-py3-none-any.whl' 2025-08-14T21:37:12.7661884Z Installing dist/torchrec/torchrec-0.3.2-py3-none-any.whl 2025-08-14T21:37:12.7662226Z + python3 -mpip install --no-index --no-deps dist/torchrec/torchrec-0.3.2-py3-none-any.whl 2025-08-14T21:37:12.9808832Z Processing ./dist/torchrec/torchrec-0.3.2-py3-none-any.whl 2025-08-14T21:37:12.9818688Z Installing collected packages: torchrec 2025-08-14T21:37:13.1485851Z Successfully installed torchrec-0.3.2 2025-08-14T21:37:13.1860766Z + pip_uninstall fbgemm-gpu-nightly 2025-08-14T21:37:13.1861017Z + pip3 uninstall -y fbgemm-gpu-nightly 2025-08-14T21:37:13.3500333Z WARNING: Skipping fbgemm-gpu-nightly as it is not installed. 2025-08-14T21:37:13.3689444Z + ROCM_HOME=/opt/rocm 2025-08-14T21:37:13.3690097Z + rocm_version_h=/opt/rocm/include/rocm-core/rocm_version.h 2025-08-14T21:37:13.3690809Z + '[' '!' -f /opt/rocm/include/rocm-core/rocm_version.h ']' 2025-08-14T21:37:13.3690978Z + '[' '!' -f /opt/rocm/include/rocm-core/rocm_version.h ']' 2025-08-14T21:37:13.3696889Z ++ grep ROCM_VERSION_MAJOR /opt/rocm/include/rocm-core/rocm_version.h 2025-08-14T21:37:13.3700901Z ++ awk '{print $3}' 2025-08-14T21:37:13.3739177Z + MAJOR_VERSION=6 2025-08-14T21:37:13.3765965Z ++ grep ROCM_VERSION_MINOR /opt/rocm/include/rocm-core/rocm_version.h 2025-08-14T21:37:13.3767718Z ++ awk '{print $3}' 2025-08-14T21:37:13.3802733Z + MINOR_VERSION=4 2025-08-14T21:37:13.3809474Z ++ grep ROCM_VERSION_PATCH /opt/rocm/include/rocm-core/rocm_version.h 2025-08-14T21:37:13.3820450Z ++ awk '{print $3}' 2025-08-14T21:37:13.3851557Z + PATCH_VERSION=2 2025-08-14T21:37:13.3852476Z + ROCM_INT=60402 2025-08-14T21:37:13.3853035Z + echo 'ROCm version: 60402' 2025-08-14T21:37:13.3853690Z ROCm version: 60402 2025-08-14T21:37:13.3854160Z + export BUILD_ROCM_VERSION=6.4 2025-08-14T21:37:13.3856379Z + BUILD_ROCM_VERSION=6.4 2025-08-14T21:37:13.3856513Z + pip_install tabulate 2025-08-14T21:37:13.3856686Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-08-14T21:37:13.3856903Z + python3 -m pip install --progress-bar off tabulate 2025-08-14T21:37:13.5563939Z Requirement already satisfied: tabulate in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (0.9.0) 2025-08-14T21:37:14.0163858Z + pip_install patchelf 2025-08-14T21:37:14.0164107Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-08-14T21:37:14.0164303Z + python3 -m pip install --progress-bar off patchelf 2025-08-14T21:37:14.3045701Z Collecting patchelf 2025-08-14T21:37:14.3882747Z 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) 2025-08-14T21:37:14.4288290Z Downloading patchelf-0.17.2.4-py3-none-manylinux1_x86_64.manylinux_2_5_x86_64.musllinux_1_1_x86_64.whl (482 kB) 2025-08-14T21:37:14.9093581Z Installing collected packages: patchelf 2025-08-14T21:37:14.9374485Z Successfully installed patchelf-0.17.2.4 2025-08-14T21:37:14.9907405Z + local wheel_dir=dist/fbgemm_gpu 2025-08-14T21:37:14.9907611Z + local found_whl=0 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2025-08-14T21:37:15.2983258Z remote: Counting objects: 67% (128/191) 2025-08-14T21:37:15.2984877Z remote: Counting objects: 68% (130/191) 2025-08-14T21:37:15.2985021Z remote: Counting objects: 69% (132/191) 2025-08-14T21:37:15.2985174Z remote: Counting objects: 70% (134/191) 2025-08-14T21:37:15.2985313Z remote: Counting objects: 71% (136/191) 2025-08-14T21:37:15.2985455Z remote: Counting objects: 72% (138/191) 2025-08-14T21:37:15.2985603Z remote: Counting objects: 73% (140/191) 2025-08-14T21:37:15.2985742Z remote: Counting objects: 74% (142/191) 2025-08-14T21:37:15.2985881Z remote: Counting objects: 75% (144/191) 2025-08-14T21:37:15.2986023Z remote: Counting objects: 76% (146/191) 2025-08-14T21:37:15.2986161Z remote: Counting objects: 77% (148/191) 2025-08-14T21:37:15.2986300Z remote: Counting objects: 78% (149/191) 2025-08-14T21:37:15.2987542Z remote: Counting objects: 79% (151/191) 2025-08-14T21:37:15.2987687Z remote: Counting objects: 80% (153/191) 2025-08-14T21:37:15.2987826Z remote: Counting objects: 81% (155/191) 2025-08-14T21:37:15.2988084Z remote: Counting objects: 82% (157/191) 2025-08-14T21:37:15.2988224Z remote: Counting objects: 83% (159/191) 2025-08-14T21:37:15.2988492Z remote: Counting objects: 84% (161/191) 2025-08-14T21:37:15.2988632Z remote: Counting objects: 85% (163/191) 2025-08-14T21:37:15.2988771Z remote: Counting objects: 86% (165/191) 2025-08-14T21:37:15.2988917Z remote: Counting objects: 87% (167/191) 2025-08-14T21:37:15.2989060Z remote: Counting objects: 88% (169/191) 2025-08-14T21:37:15.2989198Z remote: Counting objects: 89% (170/191) 2025-08-14T21:37:15.2990607Z remote: Counting objects: 90% (172/191) 2025-08-14T21:37:15.2990765Z remote: Counting objects: 91% (174/191) 2025-08-14T21:37:15.2990909Z remote: Counting objects: 92% (176/191) 2025-08-14T21:37:15.2991048Z remote: Counting objects: 93% (178/191) 2025-08-14T21:37:15.2991186Z remote: Counting objects: 94% (180/191) 2025-08-14T21:37:15.2991326Z remote: Counting objects: 95% (182/191) 2025-08-14T21:37:15.2991468Z remote: Counting objects: 96% (184/191) 2025-08-14T21:37:15.2991607Z remote: Counting objects: 97% (186/191) 2025-08-14T21:37:15.2991754Z remote: Counting objects: 98% (188/191) 2025-08-14T21:37:15.2991894Z remote: Counting objects: 99% (190/191) 2025-08-14T21:37:15.2993272Z remote: Counting objects: 100% (191/191) 2025-08-14T21:37:15.2993441Z remote: Counting objects: 100% (191/191), done. 2025-08-14T21:37:15.2993621Z remote: Compressing objects: 0% (1/122) 2025-08-14T21:37:15.2993773Z remote: Compressing objects: 1% (2/122) 2025-08-14T21:37:15.2993919Z remote: Compressing objects: 2% (3/122) 2025-08-14T21:37:15.2994064Z remote: Compressing objects: 3% (4/122) 2025-08-14T21:37:15.2994209Z remote: Compressing objects: 4% (5/122) 2025-08-14T21:37:15.2994362Z remote: Compressing objects: 5% (7/122) 2025-08-14T21:37:15.2994507Z remote: Compressing objects: 6% (8/122) 2025-08-14T21:37:15.2994651Z remote: Compressing objects: 7% (9/122) 2025-08-14T21:37:15.3080585Z remote: Compressing objects: 8% (10/122) 2025-08-14T21:37:15.3161509Z remote: Compressing objects: 9% (11/122) 2025-08-14T21:37:15.3251237Z remote: Compressing objects: 10% (13/122) 2025-08-14T21:37:15.3362825Z remote: Compressing objects: 11% (14/122) 2025-08-14T21:37:15.3392278Z remote: Compressing objects: 12% (15/122) 2025-08-14T21:37:15.3531003Z remote: Compressing objects: 13% (16/122) 2025-08-14T21:37:15.3612410Z remote: Compressing objects: 14% (18/122) 2025-08-14T21:37:15.3674610Z remote: Compressing objects: 15% (19/122) 2025-08-14T21:37:15.3724085Z remote: Compressing objects: 16% (20/122) 2025-08-14T21:37:15.3766161Z remote: Compressing objects: 17% (21/122) 2025-08-14T21:37:15.3810988Z remote: Compressing objects: 18% (22/122) 2025-08-14T21:37:15.3825394Z remote: Compressing objects: 19% (24/122) 2025-08-14T21:37:15.3826064Z remote: Compressing objects: 20% (25/122) 2025-08-14T21:37:15.3831605Z remote: Compressing objects: 21% (26/122) 2025-08-14T21:37:15.3845785Z remote: Compressing objects: 22% (27/122) 2025-08-14T21:37:15.3853710Z remote: Compressing objects: 23% (29/122) 2025-08-14T21:37:15.3860706Z remote: Compressing objects: 24% (30/122) 2025-08-14T21:37:15.3861780Z remote: Compressing objects: 25% (31/122) 2025-08-14T21:37:15.3862970Z remote: Compressing objects: 26% (32/122) 2025-08-14T21:37:15.3867979Z remote: Compressing objects: 27% (33/122) 2025-08-14T21:37:15.3869369Z remote: Compressing objects: 28% (35/122) 2025-08-14T21:37:15.3877127Z remote: Compressing objects: 29% (36/122) 2025-08-14T21:37:15.3877571Z remote: Compressing objects: 30% (37/122) 2025-08-14T21:37:15.3887526Z remote: Compressing objects: 31% (38/122) 2025-08-14T21:37:15.3910707Z remote: Compressing objects: 32% (40/122) 2025-08-14T21:37:15.3928652Z remote: Compressing objects: 33% (41/122) 2025-08-14T21:37:15.3929218Z remote: Compressing objects: 34% (42/122) 2025-08-14T21:37:15.3930167Z remote: Compressing objects: 35% (43/122) 2025-08-14T21:37:15.3930336Z remote: Compressing objects: 36% (44/122) 2025-08-14T21:37:15.3930632Z remote: Compressing objects: 37% (46/122) 2025-08-14T21:37:15.3930807Z remote: Compressing objects: 38% (47/122) 2025-08-14T21:37:15.3930959Z remote: Compressing objects: 39% (48/122) 2025-08-14T21:37:15.3932978Z remote: Compressing objects: 40% (49/122) 2025-08-14T21:37:15.3933169Z remote: Compressing objects: 41% (51/122) 2025-08-14T21:37:15.3933362Z remote: Compressing objects: 42% (52/122) 2025-08-14T21:37:15.3933549Z remote: Compressing objects: 43% (53/122) 2025-08-14T21:37:15.3933712Z remote: Compressing objects: 44% (54/122) 2025-08-14T21:37:15.3943418Z remote: Compressing objects: 45% (55/122) 2025-08-14T21:37:15.3943602Z remote: Compressing objects: 46% (57/122) 2025-08-14T21:37:15.3943768Z remote: Compressing objects: 47% (58/122) 2025-08-14T21:37:15.3943920Z remote: Compressing objects: 48% (59/122) 2025-08-14T21:37:15.3944065Z remote: Compressing objects: 49% (60/122) 2025-08-14T21:37:15.3946802Z remote: Compressing objects: 50% (61/122) 2025-08-14T21:37:15.3946977Z remote: Compressing objects: 51% (63/122) 2025-08-14T21:37:15.3947124Z remote: Compressing objects: 52% (64/122) 2025-08-14T21:37:15.3949581Z remote: Compressing objects: 53% (65/122) 2025-08-14T21:37:15.3949793Z remote: Compressing objects: 54% (66/122) 2025-08-14T21:37:15.3949941Z remote: Compressing objects: 55% (68/122) 2025-08-14T21:37:15.3950087Z remote: Compressing objects: 56% (69/122) 2025-08-14T21:37:15.3950233Z remote: Compressing objects: 57% (70/122) 2025-08-14T21:37:15.3950394Z remote: Compressing objects: 58% (71/122) 2025-08-14T21:37:15.3950568Z remote: Compressing objects: 59% (72/122) 2025-08-14T21:37:15.3950714Z remote: Compressing objects: 60% (74/122) 2025-08-14T21:37:15.3950859Z remote: Compressing objects: 61% (75/122) 2025-08-14T21:37:15.3951007Z remote: Compressing objects: 62% (76/122) 2025-08-14T21:37:15.3951153Z remote: Compressing objects: 63% (77/122) 2025-08-14T21:37:15.3953124Z remote: Compressing objects: 64% (79/122) 2025-08-14T21:37:15.3953281Z remote: Compressing objects: 65% (80/122) 2025-08-14T21:37:15.3953428Z remote: Compressing objects: 66% (81/122) 2025-08-14T21:37:15.3953725Z remote: Compressing objects: 67% (82/122) 2025-08-14T21:37:15.3953886Z remote: Compressing objects: 68% (83/122) 2025-08-14T21:37:15.3954032Z remote: Compressing objects: 69% (85/122) 2025-08-14T21:37:15.3954182Z remote: Compressing objects: 70% (86/122) 2025-08-14T21:37:15.3954329Z remote: Compressing objects: 71% (87/122) 2025-08-14T21:37:15.3954478Z remote: Compressing objects: 72% (88/122) 2025-08-14T21:37:15.3954625Z remote: Compressing objects: 73% (90/122) 2025-08-14T21:37:15.3956305Z remote: Compressing objects: 74% (91/122) 2025-08-14T21:37:15.3956457Z remote: Compressing objects: 75% (92/122) 2025-08-14T21:37:15.3956603Z remote: Compressing objects: 76% (93/122) 2025-08-14T21:37:15.3956755Z remote: Compressing objects: 77% (94/122) 2025-08-14T21:37:15.3956915Z remote: Compressing objects: 78% (96/122) 2025-08-14T21:37:15.3957063Z remote: Compressing objects: 79% (97/122) 2025-08-14T21:37:15.3957212Z remote: Compressing objects: 80% (98/122) 2025-08-14T21:37:15.3957367Z remote: Compressing objects: 81% (99/122) 2025-08-14T21:37:15.3957519Z remote: Compressing objects: 82% (101/122) 2025-08-14T21:37:15.3957675Z remote: Compressing objects: 83% (102/122) 2025-08-14T21:37:15.3957828Z remote: Compressing objects: 84% (103/122) 2025-08-14T21:37:15.3959269Z remote: Compressing objects: 85% (104/122) 2025-08-14T21:37:15.3959422Z remote: Compressing objects: 86% (105/122) 2025-08-14T21:37:15.3959573Z remote: Compressing objects: 87% (107/122) 2025-08-14T21:37:15.3959724Z remote: Compressing objects: 88% (108/122) 2025-08-14T21:37:15.3959875Z remote: Compressing objects: 89% (109/122) 2025-08-14T21:37:15.3960026Z remote: Compressing objects: 90% (110/122) 2025-08-14T21:37:15.3960177Z remote: Compressing objects: 91% (112/122) 2025-08-14T21:37:15.3960400Z remote: Compressing objects: 92% (113/122) 2025-08-14T21:37:15.3960549Z remote: Compressing objects: 93% (114/122) 2025-08-14T21:37:15.3960700Z remote: Compressing objects: 94% (115/122) 2025-08-14T21:37:15.3960858Z remote: Compressing objects: 95% (116/122) 2025-08-14T21:37:15.3962146Z remote: Compressing objects: 96% (118/122) 2025-08-14T21:37:15.3962301Z remote: Compressing objects: 97% (119/122) 2025-08-14T21:37:15.3962451Z remote: Compressing objects: 98% (120/122) 2025-08-14T21:37:15.3962601Z remote: Compressing objects: 99% (121/122) 2025-08-14T21:37:15.3962751Z remote: Compressing objects: 100% (122/122) 2025-08-14T21:37:15.3962915Z remote: Compressing objects: 100% (122/122), done. 2025-08-14T21:37:15.4364942Z Receiving objects: 0% (1/59544) 2025-08-14T21:37:15.4550539Z Receiving objects: 1% (596/59544) 2025-08-14T21:37:15.4606642Z Receiving objects: 2% (1191/59544) 2025-08-14T21:37:15.4798183Z Receiving objects: 3% (1787/59544) 2025-08-14T21:37:15.4925029Z Receiving objects: 4% (2382/59544) 2025-08-14T21:37:15.5034275Z Receiving objects: 5% (2978/59544) 2025-08-14T21:37:15.5076708Z Receiving objects: 6% (3573/59544) 2025-08-14T21:37:15.5156007Z Receiving objects: 7% (4169/59544) 2025-08-14T21:37:15.5200315Z Receiving objects: 8% (4764/59544) 2025-08-14T21:37:15.5285789Z Receiving objects: 9% (5359/59544) 2025-08-14T21:37:15.5339827Z Receiving objects: 10% (5955/59544) 2025-08-14T21:37:15.5537190Z Receiving objects: 11% (6550/59544) 2025-08-14T21:37:15.5586561Z Receiving objects: 12% (7146/59544) 2025-08-14T21:37:15.5701255Z Receiving objects: 13% (7741/59544) 2025-08-14T21:37:15.5817468Z Receiving objects: 14% (8337/59544) 2025-08-14T21:37:15.5949294Z Receiving objects: 15% (8932/59544) 2025-08-14T21:37:15.6129447Z Receiving objects: 16% (9528/59544) 2025-08-14T21:37:15.6211574Z Receiving objects: 17% (10123/59544) 2025-08-14T21:37:15.6269236Z Receiving objects: 18% (10718/59544) 2025-08-14T21:37:15.6347624Z Receiving objects: 19% (11314/59544) 2025-08-14T21:37:15.6420858Z Receiving objects: 20% (11909/59544) 2025-08-14T21:37:15.6474191Z Receiving objects: 21% (12505/59544) 2025-08-14T21:37:15.6545894Z Receiving objects: 22% (13100/59544) 2025-08-14T21:37:15.6625448Z Receiving objects: 23% (13696/59544) 2025-08-14T21:37:15.6709209Z Receiving objects: 24% (14291/59544) 2025-08-14T21:37:15.6759746Z Receiving objects: 25% (14886/59544) 2025-08-14T21:37:15.6826170Z Receiving objects: 26% (15482/59544) 2025-08-14T21:37:15.6910356Z Receiving objects: 27% (16077/59544) 2025-08-14T21:37:15.6970218Z Receiving objects: 28% (16673/59544) 2025-08-14T21:37:15.7035463Z Receiving objects: 29% (17268/59544) 2025-08-14T21:37:15.7112209Z Receiving objects: 30% (17864/59544) 2025-08-14T21:37:15.7171795Z Receiving objects: 31% (18459/59544) 2025-08-14T21:37:15.7220208Z Receiving objects: 32% (19055/59544) 2025-08-14T21:37:15.7283726Z Receiving objects: 33% (19650/59544) 2025-08-14T21:37:15.7327852Z Receiving objects: 34% (20245/59544) 2025-08-14T21:37:15.7401603Z Receiving objects: 35% (20841/59544) 2025-08-14T21:37:15.7475254Z Receiving objects: 36% (21436/59544) 2025-08-14T21:37:15.7550227Z Receiving objects: 37% (22032/59544) 2025-08-14T21:37:15.7640982Z Receiving objects: 38% (22627/59544) 2025-08-14T21:37:15.7728206Z Receiving objects: 39% (23223/59544) 2025-08-14T21:37:15.7778619Z Receiving objects: 40% (23818/59544) 2025-08-14T21:37:15.7837305Z Receiving objects: 41% (24414/59544) 2025-08-14T21:37:15.7890921Z Receiving objects: 42% (25009/59544) 2025-08-14T21:37:15.7934586Z Receiving objects: 43% (25604/59544) 2025-08-14T21:37:15.7970617Z Receiving objects: 44% (26200/59544) 2025-08-14T21:37:15.7998112Z Receiving objects: 45% (26795/59544) 2025-08-14T21:37:15.8018978Z Receiving objects: 46% (27391/59544) 2025-08-14T21:37:15.8052578Z Receiving objects: 47% (27986/59544) 2025-08-14T21:37:15.8070632Z Receiving objects: 48% (28582/59544) 2025-08-14T21:37:15.8099986Z Receiving objects: 49% (29177/59544) 2025-08-14T21:37:15.8145309Z Receiving objects: 50% (29772/59544) 2025-08-14T21:37:15.8208722Z Receiving objects: 51% (30368/59544) 2025-08-14T21:37:15.8282171Z Receiving objects: 52% (30963/59544) 2025-08-14T21:37:15.8322675Z Receiving objects: 53% (31559/59544) 2025-08-14T21:37:15.8369153Z Receiving objects: 54% (32154/59544) 2025-08-14T21:37:15.8408617Z Receiving objects: 55% (32750/59544) 2025-08-14T21:37:15.8419973Z Receiving objects: 56% (33345/59544) 2025-08-14T21:37:15.8440465Z Receiving objects: 57% (33941/59544) 2025-08-14T21:37:15.8481290Z Receiving objects: 58% (34536/59544) 2025-08-14T21:37:15.8515563Z Receiving objects: 59% (35131/59544) 2025-08-14T21:37:15.8553420Z Receiving objects: 60% (35727/59544) 2025-08-14T21:37:15.8588582Z Receiving objects: 61% (36322/59544) 2025-08-14T21:37:15.8615542Z Receiving objects: 62% (36918/59544) 2025-08-14T21:37:15.8649582Z Receiving objects: 63% (37513/59544) 2025-08-14T21:37:15.8723691Z Receiving objects: 64% (38109/59544) 2025-08-14T21:37:15.8756390Z Receiving objects: 65% (38704/59544) 2025-08-14T21:37:15.8764463Z Receiving objects: 66% (39300/59544) 2025-08-14T21:37:15.8776814Z Receiving objects: 67% (39895/59544) 2025-08-14T21:37:15.8792994Z Receiving objects: 68% (40490/59544) 2025-08-14T21:37:15.8805240Z Receiving objects: 69% (41086/59544) 2025-08-14T21:37:15.8812291Z Receiving objects: 70% (41681/59544) 2025-08-14T21:37:15.8816569Z Receiving objects: 71% (42277/59544) 2025-08-14T21:37:15.8827346Z Receiving objects: 72% (42872/59544) 2025-08-14T21:37:15.8839851Z Receiving objects: 73% (43468/59544) 2025-08-14T21:37:15.8855154Z Receiving objects: 74% (44063/59544) 2025-08-14T21:37:15.8868221Z Receiving objects: 75% (44658/59544) 2025-08-14T21:37:15.8883210Z Receiving objects: 76% (45254/59544) 2025-08-14T21:37:15.8894694Z Receiving objects: 77% (45849/59544) 2025-08-14T21:37:15.8903411Z Receiving objects: 78% (46445/59544) 2025-08-14T21:37:15.8918403Z Receiving objects: 79% (47040/59544) 2025-08-14T21:37:15.8934810Z Receiving objects: 80% (47636/59544) 2025-08-14T21:37:15.8952069Z Receiving objects: 81% (48231/59544) 2025-08-14T21:37:15.8965244Z Receiving objects: 82% (48827/59544) 2025-08-14T21:37:15.8973336Z Receiving objects: 83% (49422/59544) 2025-08-14T21:37:15.8997749Z Receiving objects: 84% (50017/59544) 2025-08-14T21:37:15.9012827Z Receiving objects: 85% (50613/59544), 29.60 MiB | 59.19 MiB/s 2025-08-14T21:37:15.9034801Z Receiving objects: 86% (51208/59544), 29.60 MiB | 59.19 MiB/s 2025-08-14T21:37:15.9043516Z Receiving objects: 87% (51804/59544), 29.60 MiB | 59.19 MiB/s 2025-08-14T21:37:15.9061896Z Receiving objects: 88% (52399/59544), 29.60 MiB | 59.19 MiB/s 2025-08-14T21:37:15.9072214Z Receiving objects: 89% (52995/59544), 29.60 MiB | 59.19 MiB/s 2025-08-14T21:37:15.9087159Z Receiving objects: 90% (53590/59544), 29.60 MiB | 59.19 MiB/s 2025-08-14T21:37:15.9098073Z Receiving objects: 91% (54186/59544), 29.60 MiB | 59.19 MiB/s 2025-08-14T21:37:15.9108890Z Receiving objects: 92% (54781/59544), 29.60 MiB | 59.19 MiB/s 2025-08-14T21:37:15.9119531Z Receiving objects: 93% (55376/59544), 29.60 MiB | 59.19 MiB/s 2025-08-14T21:37:15.9131953Z Receiving objects: 94% (55972/59544), 29.60 MiB | 59.19 MiB/s 2025-08-14T21:37:15.9155642Z Receiving objects: 95% (56567/59544), 29.60 MiB | 59.19 MiB/s 2025-08-14T21:37:15.9170249Z Receiving objects: 96% (57163/59544), 29.60 MiB | 59.19 MiB/s 2025-08-14T21:37:15.9188240Z Receiving objects: 97% (57758/59544), 29.60 MiB | 59.19 MiB/s 2025-08-14T21:37:15.9210192Z Receiving objects: 98% (58354/59544), 29.60 MiB | 59.19 MiB/s 2025-08-14T21:37:15.9380816Z Receiving objects: 99% (58949/59544), 29.60 MiB | 59.19 MiB/s 2025-08-14T21:37:15.9381278Z remote: Total 59544 (delta 127), reused 71 (delta 69), pack-reused 59353 (from 2) 2025-08-14T21:37:15.9393137Z Receiving objects: 100% (59544/59544), 29.60 MiB | 59.19 MiB/s 2025-08-14T21:37:15.9393364Z Receiving objects: 100% (59544/59544), 32.22 MiB | 59.55 MiB/s, done. 2025-08-14T21:37:15.9443410Z Resolving deltas: 0% (0/47490) 2025-08-14T21:37:15.9469426Z Resolving deltas: 1% (475/47490) 2025-08-14T21:37:15.9503367Z Resolving deltas: 2% (950/47490) 2025-08-14T21:37:15.9542410Z Resolving deltas: 3% (1425/47490) 2025-08-14T21:37:15.9555376Z Resolving deltas: 4% (1903/47490) 2025-08-14T21:37:15.9571489Z Resolving deltas: 5% (2375/47490) 2025-08-14T21:37:15.9595899Z Resolving deltas: 6% (2850/47490) 2025-08-14T21:37:15.9620135Z Resolving deltas: 7% (3325/47490) 2025-08-14T21:37:15.9643983Z Resolving deltas: 8% (3800/47490) 2025-08-14T21:37:15.9665378Z Resolving deltas: 9% (4275/47490) 2025-08-14T21:37:15.9676601Z Resolving deltas: 10% (4750/47490) 2025-08-14T21:37:15.9689992Z Resolving deltas: 11% (5224/47490) 2025-08-14T21:37:15.9701664Z Resolving deltas: 12% (5699/47490) 2025-08-14T21:37:15.9735406Z Resolving deltas: 13% (6174/47490) 2025-08-14T21:37:15.9797853Z Resolving deltas: 14% (6649/47490) 2025-08-14T21:37:15.9823454Z Resolving deltas: 15% (7124/47490) 2025-08-14T21:37:15.9845039Z Resolving deltas: 16% (7599/47490) 2025-08-14T21:37:15.9877311Z Resolving deltas: 17% (8074/47490) 2025-08-14T21:37:15.9903395Z Resolving deltas: 18% (8549/47490) 2025-08-14T21:37:15.9924617Z Resolving deltas: 19% (9024/47490) 2025-08-14T21:37:15.9955297Z Resolving deltas: 20% (9498/47490) 2025-08-14T21:37:15.9984118Z Resolving deltas: 21% (9973/47490) 2025-08-14T21:37:16.0005706Z Resolving deltas: 22% (10448/47490) 2025-08-14T21:37:16.0036399Z Resolving deltas: 23% (10923/47490) 2025-08-14T21:37:16.0069562Z Resolving deltas: 24% (11398/47490) 2025-08-14T21:37:16.0213096Z Resolving deltas: 25% (11873/47490) 2025-08-14T21:37:16.0289813Z Resolving deltas: 26% (12348/47490) 2025-08-14T21:37:16.0341695Z Resolving deltas: 27% (12823/47490) 2025-08-14T21:37:16.0367551Z Resolving deltas: 28% (13298/47490) 2025-08-14T21:37:16.0398257Z Resolving deltas: 29% (13773/47490) 2025-08-14T21:37:16.0443186Z Resolving deltas: 30% (14247/47490) 2025-08-14T21:37:16.0528186Z Resolving deltas: 31% (14722/47490) 2025-08-14T21:37:16.0547068Z Resolving deltas: 32% (15197/47490) 2025-08-14T21:37:16.0563853Z Resolving deltas: 33% (15672/47490) 2025-08-14T21:37:16.0580612Z Resolving deltas: 34% (16147/47490) 2025-08-14T21:37:16.0594611Z Resolving deltas: 35% (16622/47490) 2025-08-14T21:37:16.0643935Z Resolving deltas: 36% (17097/47490) 2025-08-14T21:37:16.0758911Z Resolving deltas: 37% (17572/47490) 2025-08-14T21:37:16.0829642Z Resolving deltas: 38% (18047/47490) 2025-08-14T21:37:16.0899372Z Resolving deltas: 39% (18522/47490) 2025-08-14T21:37:16.0976222Z Resolving deltas: 40% (18996/47490) 2025-08-14T21:37:16.1016082Z Resolving deltas: 41% (19471/47490) 2025-08-14T21:37:16.1108869Z Resolving deltas: 42% (19946/47490) 2025-08-14T21:37:16.1268798Z Resolving deltas: 43% (20421/47490) 2025-08-14T21:37:16.1439893Z Resolving deltas: 44% (20896/47490) 2025-08-14T21:37:16.1503737Z Resolving deltas: 45% (21371/47490) 2025-08-14T21:37:16.1529846Z Resolving deltas: 46% (21847/47490) 2025-08-14T21:37:16.1548754Z Resolving deltas: 47% (22321/47490) 2025-08-14T21:37:16.1569267Z Resolving deltas: 48% (22796/47490) 2025-08-14T21:37:16.1660765Z Resolving deltas: 49% (23271/47490) 2025-08-14T21:37:16.1788558Z Resolving deltas: 50% (23745/47490) 2025-08-14T21:37:16.1892553Z Resolving deltas: 51% (24220/47490) 2025-08-14T21:37:16.2004474Z Resolving deltas: 52% (24695/47490) 2025-08-14T21:37:16.2032742Z Resolving deltas: 53% (25170/47490) 2025-08-14T21:37:16.2080889Z Resolving deltas: 54% (25646/47490) 2025-08-14T21:37:16.2113649Z Resolving deltas: 55% (26120/47490) 2025-08-14T21:37:16.2141435Z Resolving deltas: 56% (26595/47490) 2025-08-14T21:37:16.2158534Z Resolving deltas: 57% (27070/47490) 2025-08-14T21:37:16.2222602Z Resolving deltas: 58% (27545/47490) 2025-08-14T21:37:16.2254433Z Resolving deltas: 59% (28020/47490) 2025-08-14T21:37:16.2291452Z Resolving deltas: 60% (28494/47490) 2025-08-14T21:37:16.2341929Z Resolving deltas: 61% (28969/47490) 2025-08-14T21:37:16.2386783Z Resolving deltas: 62% (29444/47490) 2025-08-14T21:37:16.2413866Z Resolving deltas: 63% (29919/47490) 2025-08-14T21:37:16.2471530Z Resolving deltas: 64% (30394/47490) 2025-08-14T21:37:16.2507796Z Resolving deltas: 65% (30869/47490) 2025-08-14T21:37:16.2598307Z Resolving deltas: 66% (31344/47490) 2025-08-14T21:37:16.2644376Z Resolving deltas: 67% (31819/47490) 2025-08-14T21:37:16.2687494Z Resolving deltas: 68% (32294/47490) 2025-08-14T21:37:16.2710698Z Resolving deltas: 69% (32769/47490) 2025-08-14T21:37:16.2753428Z Resolving deltas: 70% (33243/47490) 2025-08-14T21:37:16.2781792Z Resolving deltas: 71% (33718/47490) 2025-08-14T21:37:16.2810611Z Resolving deltas: 72% (34193/47490) 2025-08-14T21:37:16.2838222Z Resolving deltas: 73% (34668/47490) 2025-08-14T21:37:16.2866270Z Resolving deltas: 74% (35143/47490) 2025-08-14T21:37:16.2918723Z Resolving deltas: 75% (35618/47490) 2025-08-14T21:37:16.2946572Z Resolving deltas: 76% (36093/47490) 2025-08-14T21:37:16.2977761Z Resolving deltas: 77% (36568/47490) 2025-08-14T21:37:16.3010952Z Resolving deltas: 78% (37043/47490) 2025-08-14T21:37:16.3036322Z Resolving deltas: 79% (37518/47490) 2025-08-14T21:37:16.3057721Z Resolving deltas: 80% (37992/47490) 2025-08-14T21:37:16.3109523Z Resolving deltas: 81% (38467/47490) 2025-08-14T21:37:16.3120612Z Resolving deltas: 82% (38942/47490) 2025-08-14T21:37:16.3166311Z Resolving deltas: 83% (39417/47490) 2025-08-14T21:37:16.3241638Z Resolving deltas: 84% (39892/47490) 2025-08-14T21:37:16.3271211Z Resolving deltas: 85% (40367/47490) 2025-08-14T21:37:16.3310054Z Resolving deltas: 86% (40842/47490) 2025-08-14T21:37:16.3339914Z Resolving deltas: 87% (41317/47490) 2025-08-14T21:37:16.3354796Z Resolving deltas: 88% (41792/47490) 2025-08-14T21:37:16.3376046Z Resolving deltas: 89% (42267/47490) 2025-08-14T21:37:16.3416313Z Resolving deltas: 90% (42741/47490) 2025-08-14T21:37:16.3447994Z Resolving deltas: 91% (43216/47490) 2025-08-14T21:37:16.3471647Z Resolving deltas: 92% (43691/47490) 2025-08-14T21:37:16.3498426Z Resolving deltas: 93% (44166/47490) 2025-08-14T21:37:16.3545302Z Resolving deltas: 94% (44641/47490) 2025-08-14T21:37:16.3572174Z Resolving deltas: 95% (45116/47490) 2025-08-14T21:37:16.3589512Z Resolving deltas: 96% (45591/47490) 2025-08-14T21:37:16.3623478Z Resolving deltas: 97% (46066/47490) 2025-08-14T21:37:16.3668153Z Resolving deltas: 98% (46541/47490) 2025-08-14T21:37:16.3782938Z Resolving deltas: 99% (47016/47490) 2025-08-14T21:37:16.3840826Z Resolving deltas: 100% (47490/47490) 2025-08-14T21:37:16.3841756Z Resolving deltas: 100% (47490/47490), done. 2025-08-14T21:37:16.5233828Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'external/asmjit' 2025-08-14T21:37:16.5234227Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'external/composable_kernel' 2025-08-14T21:37:16.5234804Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'external/cpuinfo' 2025-08-14T21:37:16.5236885Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'external/cutlass' 2025-08-14T21:37:16.5244774Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'external/googletest' 2025-08-14T21:37:16.5269850Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'external/hipify_torch' 2025-08-14T21:37:16.5270565Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'external/json' 2025-08-14T21:37:16.5358360Z Cloning into '/var/lib/jenkins/pytorch/fbgemm/external/asmjit'... 2025-08-14T21:37:16.7654317Z remote: Enumerating objects: 7290, done. 2025-08-14T21:37:16.7654566Z remote: Counting objects: 0% (1/1630) 2025-08-14T21:37:16.7655607Z remote: Counting objects: 1% (17/1630) 2025-08-14T21:37:16.7656194Z remote: Counting objects: 2% (33/1630) 2025-08-14T21:37:16.7662859Z remote: Counting objects: 3% (49/1630) 2025-08-14T21:37:16.7663056Z remote: Counting objects: 4% (66/1630) 2025-08-14T21:37:16.7663607Z remote: Counting objects: 5% (82/1630) 2025-08-14T21:37:16.7663752Z remote: Counting objects: 6% (98/1630) 2025-08-14T21:37:16.7663907Z remote: Counting objects: 7% (115/1630) 2025-08-14T21:37:16.7664058Z remote: Counting objects: 8% (131/1630) 2025-08-14T21:37:16.7664213Z remote: Counting objects: 9% (147/1630) 2025-08-14T21:37:16.7664371Z remote: Counting objects: 10% (163/1630) 2025-08-14T21:37:16.7664516Z remote: Counting objects: 11% (180/1630) 2025-08-14T21:37:16.7664669Z remote: Counting objects: 12% (196/1630) 2025-08-14T21:37:16.7664812Z remote: Counting objects: 13% (212/1630) 2025-08-14T21:37:16.7666815Z remote: Counting objects: 14% (229/1630) 2025-08-14T21:37:16.7748350Z remote: Counting objects: 15% (245/1630) 2025-08-14T21:37:16.7748737Z remote: Counting objects: 16% (261/1630) 2025-08-14T21:37:16.7749030Z remote: Counting objects: 17% (278/1630) 2025-08-14T21:37:16.7749289Z remote: Counting objects: 18% (294/1630) 2025-08-14T21:37:16.7749527Z remote: Counting objects: 19% (310/1630) 2025-08-14T21:37:16.7749787Z remote: Counting objects: 20% (326/1630) 2025-08-14T21:37:16.7750013Z remote: Counting objects: 21% (343/1630) 2025-08-14T21:37:16.7750231Z remote: Counting objects: 22% (359/1630) 2025-08-14T21:37:16.7750449Z remote: Counting objects: 23% (375/1630) 2025-08-14T21:37:16.7754453Z remote: Counting objects: 24% (392/1630) 2025-08-14T21:37:16.7754685Z remote: Counting objects: 25% (408/1630) 2025-08-14T21:37:16.7754883Z remote: Counting objects: 26% (424/1630) 2025-08-14T21:37:16.7755093Z remote: Counting objects: 27% (441/1630) 2025-08-14T21:37:16.7755299Z remote: Counting objects: 28% (457/1630) 2025-08-14T21:37:16.7755490Z remote: Counting objects: 29% (473/1630) 2025-08-14T21:37:16.7755684Z remote: Counting objects: 30% (489/1630) 2025-08-14T21:37:16.7755893Z remote: Counting objects: 31% (506/1630) 2025-08-14T21:37:16.7756084Z remote: Counting objects: 32% (522/1630) 2025-08-14T21:37:16.7756479Z remote: Counting objects: 33% (538/1630) 2025-08-14T21:37:16.7756675Z remote: Counting objects: 34% (555/1630) 2025-08-14T21:37:16.7756872Z remote: Counting objects: 35% (571/1630) 2025-08-14T21:37:16.7757066Z remote: Counting objects: 36% (587/1630) 2025-08-14T21:37:16.7757262Z remote: Counting objects: 37% (604/1630) 2025-08-14T21:37:16.7757462Z remote: Counting objects: 38% (620/1630) 2025-08-14T21:37:16.7757658Z remote: Counting objects: 39% (636/1630) 2025-08-14T21:37:16.7757853Z remote: Counting objects: 40% (652/1630) 2025-08-14T21:37:16.7758235Z remote: Counting objects: 41% (669/1630) 2025-08-14T21:37:16.7758432Z remote: Counting objects: 42% (685/1630) 2025-08-14T21:37:16.7758627Z remote: Counting objects: 43% (701/1630) 2025-08-14T21:37:16.7758836Z remote: Counting objects: 44% (718/1630) 2025-08-14T21:37:16.7759033Z remote: Counting objects: 45% (734/1630) 2025-08-14T21:37:16.7761030Z remote: Counting objects: 46% (750/1630) 2025-08-14T21:37:16.7761238Z remote: Counting objects: 47% (767/1630) 2025-08-14T21:37:16.7761432Z remote: Counting objects: 48% (783/1630) 2025-08-14T21:37:16.7761627Z remote: Counting objects: 49% (799/1630) 2025-08-14T21:37:16.7761822Z remote: Counting objects: 50% (815/1630) 2025-08-14T21:37:16.7762015Z remote: Counting objects: 51% (832/1630) 2025-08-14T21:37:16.7762207Z remote: Counting objects: 52% (848/1630) 2025-08-14T21:37:16.7762400Z remote: Counting objects: 53% (864/1630) 2025-08-14T21:37:16.7762592Z remote: Counting objects: 54% (881/1630) 2025-08-14T21:37:16.7762785Z remote: Counting objects: 55% (897/1630) 2025-08-14T21:37:16.7763134Z remote: Counting objects: 56% (913/1630) 2025-08-14T21:37:16.7764714Z remote: Counting objects: 57% (930/1630) 2025-08-14T21:37:16.7764918Z remote: Counting objects: 58% (946/1630) 2025-08-14T21:37:16.7765113Z remote: Counting objects: 59% (962/1630) 2025-08-14T21:37:16.7765305Z remote: Counting objects: 60% (978/1630) 2025-08-14T21:37:16.7765498Z remote: Counting objects: 61% (995/1630) 2025-08-14T21:37:16.7765705Z remote: Counting objects: 62% (1011/1630) 2025-08-14T21:37:16.7765903Z remote: Counting objects: 63% (1027/1630) 2025-08-14T21:37:16.7766099Z remote: Counting objects: 64% (1044/1630) 2025-08-14T21:37:16.7766293Z remote: Counting objects: 65% (1060/1630) 2025-08-14T21:37:16.7766490Z remote: Counting objects: 66% (1076/1630) 2025-08-14T21:37:16.7766685Z remote: Counting objects: 67% (1093/1630) 2025-08-14T21:37:16.7768299Z remote: Counting objects: 68% (1109/1630) 2025-08-14T21:37:16.7768495Z remote: Counting objects: 69% (1125/1630) 2025-08-14T21:37:16.7768693Z remote: Counting objects: 70% (1141/1630) 2025-08-14T21:37:16.7768886Z remote: Counting objects: 71% (1158/1630) 2025-08-14T21:37:16.7769083Z remote: Counting objects: 72% (1174/1630) 2025-08-14T21:37:16.7769278Z remote: Counting objects: 73% (1190/1630) 2025-08-14T21:37:16.7769475Z remote: Counting objects: 74% (1207/1630) 2025-08-14T21:37:16.7769669Z remote: Counting objects: 75% (1223/1630) 2025-08-14T21:37:16.7769862Z remote: Counting objects: 76% (1239/1630) 2025-08-14T21:37:16.7770057Z remote: Counting objects: 77% (1256/1630) 2025-08-14T21:37:16.7770256Z remote: Counting objects: 78% (1272/1630) 2025-08-14T21:37:16.7771775Z remote: Counting objects: 79% (1288/1630) 2025-08-14T21:37:16.7771973Z remote: Counting objects: 80% (1304/1630) 2025-08-14T21:37:16.7772170Z remote: Counting objects: 81% (1321/1630) 2025-08-14T21:37:16.7772371Z remote: Counting objects: 82% (1337/1630) 2025-08-14T21:37:16.7772566Z remote: Counting objects: 83% (1353/1630) 2025-08-14T21:37:16.7772761Z remote: Counting objects: 84% (1370/1630) 2025-08-14T21:37:16.7773022Z remote: Counting objects: 85% (1386/1630) 2025-08-14T21:37:16.7773220Z remote: Counting objects: 86% (1402/1630) 2025-08-14T21:37:16.7773416Z remote: Counting objects: 87% (1419/1630) 2025-08-14T21:37:16.7773612Z remote: Counting objects: 88% (1435/1630) 2025-08-14T21:37:16.7773807Z remote: Counting objects: 89% (1451/1630) 2025-08-14T21:37:16.7775360Z remote: Counting objects: 90% (1467/1630) 2025-08-14T21:37:16.7775557Z remote: Counting objects: 91% (1484/1630) 2025-08-14T21:37:16.7775754Z remote: Counting objects: 92% (1500/1630) 2025-08-14T21:37:16.7775949Z remote: Counting objects: 93% (1516/1630) 2025-08-14T21:37:16.7776148Z remote: Counting objects: 94% (1533/1630) 2025-08-14T21:37:16.7776347Z remote: Counting objects: 95% (1549/1630) 2025-08-14T21:37:16.7776542Z remote: Counting objects: 96% (1565/1630) 2025-08-14T21:37:16.7776740Z remote: Counting objects: 97% (1582/1630) 2025-08-14T21:37:16.7776939Z remote: Counting objects: 98% (1598/1630) 2025-08-14T21:37:16.7777134Z remote: Counting objects: 99% (1614/1630) 2025-08-14T21:37:16.7777330Z remote: Counting objects: 100% (1630/1630) 2025-08-14T21:37:16.7778942Z remote: Counting objects: 100% (1630/1630), done. 2025-08-14T21:37:16.7779167Z remote: Compressing objects: 0% (1/542) 2025-08-14T21:37:16.7779368Z remote: Compressing objects: 1% (6/542) 2025-08-14T21:37:16.7779567Z remote: Compressing objects: 2% (11/542) 2025-08-14T21:37:16.7850487Z remote: Compressing objects: 3% (17/542) 2025-08-14T21:37:16.7870920Z remote: Compressing objects: 4% (22/542) 2025-08-14T21:37:16.7909880Z remote: Compressing objects: 5% (28/542) 2025-08-14T21:37:16.7969360Z remote: Compressing objects: 6% (33/542) 2025-08-14T21:37:16.8036397Z remote: Compressing objects: 7% (38/542) 2025-08-14T21:37:16.8105602Z remote: Compressing objects: 8% (44/542) 2025-08-14T21:37:16.8180868Z remote: Compressing objects: 9% (49/542) 2025-08-14T21:37:16.8258251Z remote: Compressing objects: 10% (55/542) 2025-08-14T21:37:16.8322286Z remote: Compressing objects: 11% (60/542) 2025-08-14T21:37:16.8346303Z remote: Compressing objects: 12% (66/542) 2025-08-14T21:37:16.8368935Z remote: Compressing objects: 13% (71/542) 2025-08-14T21:37:16.8408304Z remote: Compressing objects: 14% (76/542) 2025-08-14T21:37:16.8408512Z remote: Compressing objects: 15% (82/542) 2025-08-14T21:37:16.8408660Z remote: Compressing objects: 16% (87/542) 2025-08-14T21:37:16.8432013Z remote: Compressing objects: 17% (93/542) 2025-08-14T21:37:16.8493502Z remote: Compressing objects: 18% (98/542) 2025-08-14T21:37:16.8591954Z remote: Compressing objects: 19% (103/542) 2025-08-14T21:37:16.8719671Z remote: Compressing objects: 20% (109/542) 2025-08-14T21:37:16.9170227Z remote: Compressing objects: 21% (114/542) 2025-08-14T21:37:16.9460841Z remote: Compressing objects: 22% (120/542) 2025-08-14T21:37:16.9913785Z remote: Compressing objects: 23% (125/542) 2025-08-14T21:37:17.0004986Z remote: Compressing objects: 24% (131/542) 2025-08-14T21:37:17.0104773Z remote: Compressing objects: 25% (136/542) 2025-08-14T21:37:17.0209146Z remote: Compressing objects: 26% (141/542) 2025-08-14T21:37:17.0295404Z remote: Compressing objects: 27% (147/542) 2025-08-14T21:37:17.0476137Z remote: Compressing objects: 28% (152/542) 2025-08-14T21:37:17.0569827Z remote: Compressing objects: 29% (158/542) 2025-08-14T21:37:17.0703904Z remote: Compressing objects: 30% (163/542) 2025-08-14T21:37:17.0783274Z remote: Compressing objects: 31% (169/542) 2025-08-14T21:37:17.0930369Z remote: Compressing objects: 32% (174/542) 2025-08-14T21:37:17.1015915Z remote: Compressing objects: 33% (179/542) 2025-08-14T21:37:17.1080861Z remote: Compressing objects: 34% (185/542) 2025-08-14T21:37:17.1179224Z remote: Compressing objects: 35% (190/542) 2025-08-14T21:37:17.1199669Z remote: Compressing objects: 36% (196/542) 2025-08-14T21:37:17.1277279Z remote: Compressing objects: 37% (201/542) 2025-08-14T21:37:17.1351749Z remote: Compressing objects: 38% (206/542) 2025-08-14T21:37:17.1422040Z remote: Compressing objects: 39% (212/542) 2025-08-14T21:37:17.1482151Z remote: Compressing objects: 40% (217/542) 2025-08-14T21:37:17.1502290Z remote: Compressing objects: 41% (223/542) 2025-08-14T21:37:17.1554278Z remote: Compressing objects: 42% (228/542) 2025-08-14T21:37:17.1579502Z remote: Compressing objects: 43% (234/542) 2025-08-14T21:37:17.1616143Z remote: Compressing objects: 44% (239/542) 2025-08-14T21:37:17.1660030Z remote: Compressing objects: 45% (244/542) 2025-08-14T21:37:17.1700093Z remote: Compressing objects: 46% (250/542) 2025-08-14T21:37:17.1739386Z remote: Compressing objects: 47% (255/542) 2025-08-14T21:37:17.1777670Z remote: Compressing objects: 48% (261/542) 2025-08-14T21:37:17.1804857Z remote: Compressing objects: 49% (266/542) 2025-08-14T21:37:17.1829672Z remote: Compressing objects: 50% (271/542) 2025-08-14T21:37:17.1851921Z remote: Compressing objects: 51% (277/542) 2025-08-14T21:37:17.1871423Z remote: Compressing objects: 52% (282/542) 2025-08-14T21:37:17.1886319Z remote: Compressing objects: 53% (288/542) 2025-08-14T21:37:17.1900248Z remote: Compressing objects: 54% (293/542) 2025-08-14T21:37:17.1916198Z remote: Compressing objects: 55% (299/542) 2025-08-14T21:37:17.1925063Z remote: Compressing objects: 56% (304/542) 2025-08-14T21:37:17.1934082Z remote: Compressing objects: 57% (309/542) 2025-08-14T21:37:17.1940157Z remote: Compressing objects: 58% (315/542) 2025-08-14T21:37:17.1947529Z remote: Compressing objects: 59% (320/542) 2025-08-14T21:37:17.1952082Z remote: Compressing objects: 60% (326/542) 2025-08-14T21:37:17.1956960Z remote: Compressing objects: 61% (331/542) 2025-08-14T21:37:17.1961321Z remote: Compressing objects: 62% (337/542) 2025-08-14T21:37:17.1967384Z remote: Compressing objects: 63% (342/542) 2025-08-14T21:37:17.1967691Z remote: Compressing objects: 64% (347/542) 2025-08-14T21:37:17.1968034Z remote: Compressing objects: 65% (353/542) 2025-08-14T21:37:17.1970219Z remote: Compressing objects: 66% (358/542) 2025-08-14T21:37:17.1978996Z remote: Compressing objects: 67% (364/542) 2025-08-14T21:37:17.1979263Z remote: Compressing objects: 68% (369/542) 2025-08-14T21:37:17.1985330Z remote: Compressing objects: 69% (374/542) 2025-08-14T21:37:17.1985593Z remote: Compressing objects: 70% (380/542) 2025-08-14T21:37:17.1986805Z remote: Compressing objects: 71% (385/542) 2025-08-14T21:37:17.1993044Z remote: Compressing objects: 72% (391/542) 2025-08-14T21:37:17.1997627Z remote: Compressing objects: 73% (396/542) 2025-08-14T21:37:17.2002847Z remote: Compressing objects: 74% (402/542) 2025-08-14T21:37:17.2003095Z remote: Compressing objects: 75% (407/542) 2025-08-14T21:37:17.2003329Z remote: Compressing objects: 76% (412/542) 2025-08-14T21:37:17.2003570Z remote: Compressing objects: 77% (418/542) 2025-08-14T21:37:17.2003808Z remote: Compressing objects: 78% (423/542) 2025-08-14T21:37:17.2004053Z remote: Compressing objects: 79% (429/542) 2025-08-14T21:37:17.2004282Z remote: Compressing objects: 80% (434/542) 2025-08-14T21:37:17.2027411Z remote: Compressing objects: 81% (440/542) 2025-08-14T21:37:17.2027721Z remote: Compressing objects: 82% (445/542) 2025-08-14T21:37:17.2028410Z remote: Compressing objects: 83% (450/542) 2025-08-14T21:37:17.2032344Z remote: Compressing objects: 84% (456/542) 2025-08-14T21:37:17.2032564Z remote: Compressing objects: 85% (461/542) 2025-08-14T21:37:17.2032720Z remote: Compressing objects: 86% (467/542) 2025-08-14T21:37:17.2032869Z remote: Compressing objects: 87% (472/542) 2025-08-14T21:37:17.2033032Z remote: Compressing objects: 88% (477/542) 2025-08-14T21:37:17.2033196Z remote: Compressing objects: 89% (483/542) 2025-08-14T21:37:17.2033363Z remote: Compressing objects: 90% (488/542) 2025-08-14T21:37:17.2033526Z remote: Compressing objects: 91% (494/542) 2025-08-14T21:37:17.2042063Z remote: Compressing objects: 92% (499/542) 2025-08-14T21:37:17.2042794Z remote: Compressing objects: 93% (505/542) 2025-08-14T21:37:17.2043369Z remote: Compressing objects: 94% (510/542) 2025-08-14T21:37:17.2046285Z remote: Compressing objects: 95% (515/542) 2025-08-14T21:37:17.2046826Z remote: Compressing objects: 96% (521/542) 2025-08-14T21:37:17.2047130Z remote: Compressing objects: 97% (526/542) 2025-08-14T21:37:17.2047386Z remote: Compressing objects: 98% (532/542) 2025-08-14T21:37:17.2047648Z remote: Compressing objects: 99% (537/542) 2025-08-14T21:37:17.2047981Z remote: Compressing objects: 100% (542/542) 2025-08-14T21:37:17.2048255Z remote: Compressing objects: 100% (542/542), done. 2025-08-14T21:37:17.2963348Z Receiving objects: 0% (1/7290) 2025-08-14T21:37:17.2989010Z Receiving objects: 1% (73/7290) 2025-08-14T21:37:17.3041300Z Receiving objects: 2% (146/7290) 2025-08-14T21:37:17.3126816Z Receiving objects: 3% (219/7290) 2025-08-14T21:37:17.3169929Z Receiving objects: 4% (292/7290) 2025-08-14T21:37:17.3176907Z Receiving objects: 5% (365/7290) 2025-08-14T21:37:17.3200999Z Receiving objects: 6% (438/7290) 2025-08-14T21:37:17.3202323Z Receiving objects: 7% (511/7290) 2025-08-14T21:37:17.3219118Z Receiving objects: 8% (584/7290) 2025-08-14T21:37:17.3220699Z Receiving objects: 9% (657/7290) 2025-08-14T21:37:17.3237987Z Receiving objects: 10% (729/7290) 2025-08-14T21:37:17.3271590Z Receiving objects: 11% (802/7290) 2025-08-14T21:37:17.3271858Z Receiving objects: 12% (875/7290) 2025-08-14T21:37:17.3272099Z Receiving objects: 13% (948/7290) 2025-08-14T21:37:17.3272319Z Receiving objects: 14% (1021/7290) 2025-08-14T21:37:17.3273615Z Receiving objects: 15% (1094/7290) 2025-08-14T21:37:17.3276577Z Receiving objects: 16% (1167/7290) 2025-08-14T21:37:17.3280045Z Receiving objects: 17% (1240/7290) 2025-08-14T21:37:17.3283190Z Receiving objects: 18% (1313/7290) 2025-08-14T21:37:17.3288605Z Receiving objects: 19% (1386/7290) 2025-08-14T21:37:17.3304087Z Receiving objects: 20% (1458/7290) 2025-08-14T21:37:17.3329773Z Receiving objects: 21% (1531/7290) 2025-08-14T21:37:17.3359062Z Receiving objects: 22% (1604/7290) 2025-08-14T21:37:17.3382165Z Receiving objects: 23% (1677/7290) 2025-08-14T21:37:17.3418980Z Receiving objects: 24% (1750/7290) 2025-08-14T21:37:17.3419270Z Receiving objects: 25% (1823/7290) 2025-08-14T21:37:17.3419507Z Receiving objects: 26% (1896/7290) 2025-08-14T21:37:17.3432993Z Receiving objects: 27% (1969/7290) 2025-08-14T21:37:17.3441844Z Receiving objects: 28% (2042/7290) 2025-08-14T21:37:17.3468360Z Receiving objects: 29% (2115/7290) 2025-08-14T21:37:17.3486688Z Receiving objects: 30% (2187/7290) 2025-08-14T21:37:17.3495911Z Receiving objects: 31% (2260/7290) 2025-08-14T21:37:17.3504647Z Receiving objects: 32% (2333/7290) 2025-08-14T21:37:17.3530805Z Receiving objects: 33% (2406/7290) 2025-08-14T21:37:17.3589777Z Receiving objects: 34% (2479/7290) 2025-08-14T21:37:17.3603565Z Receiving objects: 35% (2552/7290) 2025-08-14T21:37:17.3605401Z Receiving objects: 36% (2625/7290) 2025-08-14T21:37:17.3612491Z Receiving objects: 37% (2698/7290) 2025-08-14T21:37:17.3628460Z Receiving objects: 38% (2771/7290) 2025-08-14T21:37:17.3633762Z Receiving objects: 39% (2844/7290) 2025-08-14T21:37:17.3642366Z Receiving objects: 40% (2916/7290) 2025-08-14T21:37:17.3650012Z Receiving objects: 41% (2989/7290) 2025-08-14T21:37:17.3654377Z Receiving objects: 42% (3062/7290) 2025-08-14T21:37:17.3661120Z Receiving objects: 43% (3135/7290) 2025-08-14T21:37:17.3667108Z Receiving objects: 44% (3208/7290) 2025-08-14T21:37:17.3669033Z Receiving objects: 45% (3281/7290) 2025-08-14T21:37:17.3716501Z Receiving objects: 46% (3354/7290) 2025-08-14T21:37:17.3728391Z Receiving objects: 47% (3427/7290) 2025-08-14T21:37:17.3746861Z Receiving objects: 48% (3500/7290) 2025-08-14T21:37:17.3750701Z Receiving objects: 49% (3573/7290) 2025-08-14T21:37:17.3768121Z Receiving objects: 50% (3645/7290) 2025-08-14T21:37:17.3778026Z Receiving objects: 51% (3718/7290) 2025-08-14T21:37:17.3786338Z Receiving objects: 52% (3791/7290) 2025-08-14T21:37:17.3797526Z Receiving objects: 53% (3864/7290) 2025-08-14T21:37:17.3809528Z Receiving objects: 54% (3937/7290) 2025-08-14T21:37:17.3820094Z Receiving objects: 55% (4010/7290) 2025-08-14T21:37:17.3838099Z Receiving objects: 56% (4083/7290) 2025-08-14T21:37:17.3855803Z Receiving objects: 57% (4156/7290) 2025-08-14T21:37:17.3864612Z Receiving objects: 58% (4229/7290) 2025-08-14T21:37:17.3882997Z Receiving objects: 59% (4302/7290) 2025-08-14T21:37:17.3897663Z Receiving objects: 60% (4374/7290) 2025-08-14T21:37:17.3904893Z Receiving objects: 61% (4447/7290) 2025-08-14T21:37:17.3920921Z Receiving objects: 62% (4520/7290) 2025-08-14T21:37:17.3945049Z Receiving objects: 63% (4593/7290) 2025-08-14T21:37:17.3958439Z Receiving objects: 64% (4666/7290) 2025-08-14T21:37:17.3974974Z Receiving objects: 65% (4739/7290) 2025-08-14T21:37:17.3994997Z Receiving objects: 66% (4812/7290) 2025-08-14T21:37:17.3996936Z Receiving objects: 67% (4885/7290) 2025-08-14T21:37:17.4003965Z Receiving objects: 68% (4958/7290) 2025-08-14T21:37:17.4014200Z Receiving objects: 69% (5031/7290) 2025-08-14T21:37:17.4031309Z Receiving objects: 70% (5103/7290) 2025-08-14T21:37:17.4038249Z Receiving objects: 71% (5176/7290) 2025-08-14T21:37:17.4041968Z Receiving objects: 72% (5249/7290) 2025-08-14T21:37:17.4043646Z Receiving objects: 73% (5322/7290) 2025-08-14T21:37:17.4047644Z Receiving objects: 74% (5395/7290) 2025-08-14T21:37:17.4049453Z Receiving objects: 75% (5468/7290) 2025-08-14T21:37:17.4050727Z Receiving objects: 76% (5541/7290) 2025-08-14T21:37:17.4054452Z Receiving objects: 77% (5614/7290) 2025-08-14T21:37:17.4058258Z Receiving objects: 78% (5687/7290) 2025-08-14T21:37:17.4059762Z Receiving objects: 79% (5760/7290) 2025-08-14T21:37:17.4060373Z Receiving objects: 80% (5832/7290) 2025-08-14T21:37:17.4061318Z Receiving objects: 81% (5905/7290) 2025-08-14T21:37:17.4061735Z Receiving objects: 82% (5978/7290) 2025-08-14T21:37:17.4064029Z Receiving objects: 83% (6051/7290) 2025-08-14T21:37:17.4064605Z Receiving objects: 84% (6124/7290) 2025-08-14T21:37:17.4094460Z Receiving objects: 85% (6197/7290) 2025-08-14T21:37:17.4122568Z Receiving objects: 86% (6270/7290) 2025-08-14T21:37:17.4164950Z Receiving objects: 87% (6343/7290) 2025-08-14T21:37:17.4199943Z Receiving objects: 88% (6416/7290) 2025-08-14T21:37:17.4220946Z Receiving objects: 89% (6489/7290) 2025-08-14T21:37:17.4233898Z Receiving objects: 90% (6561/7290) 2025-08-14T21:37:17.4237573Z Receiving objects: 91% (6634/7290) 2025-08-14T21:37:17.4243455Z Receiving objects: 92% (6707/7290) 2025-08-14T21:37:17.4273852Z Receiving objects: 93% (6780/7290) 2025-08-14T21:37:17.4282553Z Receiving objects: 94% (6853/7290) 2025-08-14T21:37:17.4293375Z Receiving objects: 95% (6926/7290) 2025-08-14T21:37:17.4306584Z Receiving objects: 96% (6999/7290) 2025-08-14T21:37:17.4318182Z Receiving objects: 97% (7072/7290) 2025-08-14T21:37:17.4351764Z Receiving objects: 98% (7145/7290) 2025-08-14T21:37:17.4376559Z Receiving objects: 99% (7218/7290) 2025-08-14T21:37:17.4376942Z remote: Total 7290 (delta 1287), reused 1106 (delta 1088), pack-reused 5660 (from 1) 2025-08-14T21:37:17.4390275Z Receiving objects: 100% (7290/7290) 2025-08-14T21:37:17.4390482Z Receiving objects: 100% (7290/7290), 9.60 MiB | 41.99 MiB/s, done. 2025-08-14T21:37:17.4416150Z Resolving deltas: 0% (0/5284) 2025-08-14T21:37:17.4423479Z Resolving deltas: 1% (53/5284) 2025-08-14T21:37:17.4428457Z Resolving deltas: 2% (106/5284) 2025-08-14T21:37:17.4440753Z Resolving deltas: 3% (159/5284) 2025-08-14T21:37:17.4441149Z Resolving deltas: 4% (212/5284) 2025-08-14T21:37:17.4449006Z Resolving deltas: 5% (265/5284) 2025-08-14T21:37:17.4500493Z Resolving deltas: 6% (318/5284) 2025-08-14T21:37:17.4540648Z Resolving deltas: 7% (370/5284) 2025-08-14T21:37:17.4540801Z Resolving deltas: 8% (423/5284) 2025-08-14T21:37:17.4540995Z Resolving deltas: 9% (476/5284) 2025-08-14T21:37:17.4541154Z Resolving deltas: 10% (529/5284) 2025-08-14T21:37:17.4553055Z Resolving deltas: 11% (582/5284) 2025-08-14T21:37:17.4553338Z Resolving deltas: 12% (635/5284) 2025-08-14T21:37:17.4585223Z Resolving deltas: 13% (687/5284) 2025-08-14T21:37:17.4585484Z Resolving deltas: 14% (740/5284) 2025-08-14T21:37:17.4585628Z Resolving deltas: 15% (793/5284) 2025-08-14T21:37:17.4585811Z Resolving deltas: 16% (846/5284) 2025-08-14T21:37:17.4585936Z Resolving deltas: 17% (899/5284) 2025-08-14T21:37:17.4586060Z Resolving deltas: 18% (952/5284) 2025-08-14T21:37:17.4586189Z Resolving deltas: 19% (1004/5284) 2025-08-14T21:37:17.4586320Z Resolving deltas: 20% (1057/5284) 2025-08-14T21:37:17.4586454Z Resolving deltas: 21% (1110/5284) 2025-08-14T21:37:17.4595051Z Resolving deltas: 22% (1163/5284) 2025-08-14T21:37:17.4595238Z Resolving deltas: 23% (1216/5284) 2025-08-14T21:37:17.4598678Z Resolving deltas: 24% (1269/5284) 2025-08-14T21:37:17.4608459Z Resolving deltas: 25% (1321/5284) 2025-08-14T21:37:17.4610629Z Resolving deltas: 26% (1374/5284) 2025-08-14T21:37:17.4613277Z Resolving deltas: 27% (1427/5284) 2025-08-14T21:37:17.4614972Z Resolving deltas: 28% (1480/5284) 2025-08-14T21:37:17.4623890Z Resolving deltas: 29% (1533/5284) 2025-08-14T21:37:17.4624137Z Resolving deltas: 30% (1586/5284) 2025-08-14T21:37:17.4629677Z Resolving deltas: 31% (1639/5284) 2025-08-14T21:37:17.4630096Z Resolving deltas: 32% (1691/5284) 2025-08-14T21:37:17.4637049Z Resolving deltas: 33% (1744/5284) 2025-08-14T21:37:17.4680410Z Resolving deltas: 34% (1797/5284) 2025-08-14T21:37:17.4680616Z Resolving deltas: 35% (1850/5284) 2025-08-14T21:37:17.4701165Z Resolving deltas: 36% (1903/5284) 2025-08-14T21:37:17.4701451Z Resolving deltas: 37% (1956/5284) 2025-08-14T21:37:17.4701602Z Resolving deltas: 38% (2008/5284) 2025-08-14T21:37:17.4701747Z Resolving deltas: 39% (2061/5284) 2025-08-14T21:37:17.4701886Z Resolving deltas: 40% (2114/5284) 2025-08-14T21:37:17.4702038Z Resolving deltas: 41% (2167/5284) 2025-08-14T21:37:17.4702172Z Resolving deltas: 42% (2220/5284) 2025-08-14T21:37:17.4702302Z Resolving deltas: 43% (2273/5284) 2025-08-14T21:37:17.4702429Z Resolving deltas: 44% (2325/5284) 2025-08-14T21:37:17.4708570Z Resolving deltas: 45% (2379/5284) 2025-08-14T21:37:17.4708715Z Resolving deltas: 46% (2431/5284) 2025-08-14T21:37:17.4708952Z Resolving deltas: 47% (2484/5284) 2025-08-14T21:37:17.4709180Z Resolving deltas: 48% (2537/5284) 2025-08-14T21:37:17.4718287Z Resolving deltas: 49% (2591/5284) 2025-08-14T21:37:17.4726858Z Resolving deltas: 50% (2642/5284) 2025-08-14T21:37:17.4730946Z Resolving deltas: 51% (2695/5284) 2025-08-14T21:37:17.4732900Z Resolving deltas: 52% (2748/5284) 2025-08-14T21:37:17.4744575Z Resolving deltas: 53% (2801/5284) 2025-08-14T21:37:17.4750900Z Resolving deltas: 54% (2854/5284) 2025-08-14T21:37:17.4754172Z Resolving deltas: 55% (2907/5284) 2025-08-14T21:37:17.4754326Z Resolving deltas: 56% (2960/5284) 2025-08-14T21:37:17.4754484Z Resolving deltas: 57% (3012/5284) 2025-08-14T21:37:17.4798334Z Resolving deltas: 58% (3065/5284) 2025-08-14T21:37:17.4798850Z Resolving deltas: 59% (3118/5284) 2025-08-14T21:37:17.4799197Z Resolving deltas: 60% (3171/5284) 2025-08-14T21:37:17.4799360Z Resolving deltas: 61% (3224/5284) 2025-08-14T21:37:17.4799480Z Resolving deltas: 62% (3277/5284) 2025-08-14T21:37:17.4799600Z Resolving deltas: 63% (3329/5284) 2025-08-14T21:37:17.4799934Z Resolving deltas: 64% (3382/5284) 2025-08-14T21:37:17.4801845Z Resolving deltas: 65% (3435/5284) 2025-08-14T21:37:17.4801979Z Resolving deltas: 66% (3488/5284) 2025-08-14T21:37:17.4802099Z Resolving deltas: 67% (3542/5284) 2025-08-14T21:37:17.4802284Z Resolving deltas: 68% (3594/5284) 2025-08-14T21:37:17.4802475Z Resolving deltas: 69% (3646/5284) 2025-08-14T21:37:17.4820234Z Resolving deltas: 70% (3699/5284) 2025-08-14T21:37:17.4858164Z Resolving deltas: 71% (3752/5284) 2025-08-14T21:37:17.4858334Z Resolving deltas: 72% (3805/5284) 2025-08-14T21:37:17.4858467Z Resolving deltas: 73% (3858/5284) 2025-08-14T21:37:17.4858580Z Resolving deltas: 74% (3911/5284) 2025-08-14T21:37:17.4858692Z Resolving deltas: 75% (3963/5284) 2025-08-14T21:37:17.4861264Z Resolving deltas: 76% (4016/5284) 2025-08-14T21:37:17.4861393Z Resolving deltas: 77% (4069/5284) 2025-08-14T21:37:17.4861508Z Resolving deltas: 78% (4122/5284) 2025-08-14T21:37:17.4861626Z Resolving deltas: 79% (4175/5284) 2025-08-14T21:37:17.4861747Z Resolving deltas: 80% (4228/5284) 2025-08-14T21:37:17.4861858Z Resolving deltas: 81% (4281/5284) 2025-08-14T21:37:17.4873516Z Resolving deltas: 82% (4333/5284) 2025-08-14T21:37:17.4891031Z Resolving deltas: 83% (4386/5284) 2025-08-14T21:37:17.4891312Z Resolving deltas: 84% (4439/5284) 2025-08-14T21:37:17.4891472Z Resolving deltas: 85% (4492/5284) 2025-08-14T21:37:17.4891614Z Resolving deltas: 86% (4545/5284) 2025-08-14T21:37:17.4891754Z Resolving deltas: 87% (4598/5284) 2025-08-14T21:37:17.4896291Z Resolving deltas: 88% (4650/5284) 2025-08-14T21:37:17.4914891Z Resolving deltas: 89% (4703/5284) 2025-08-14T21:37:17.4915098Z Resolving deltas: 90% (4756/5284) 2025-08-14T21:37:17.4915242Z Resolving deltas: 91% (4809/5284) 2025-08-14T21:37:17.4915375Z Resolving deltas: 92% (4862/5284) 2025-08-14T21:37:17.4915807Z Resolving deltas: 93% (4917/5284) 2025-08-14T21:37:17.4927739Z Resolving deltas: 94% (4967/5284) 2025-08-14T21:37:17.4928100Z Resolving deltas: 95% (5020/5284) 2025-08-14T21:37:17.4928308Z Resolving deltas: 96% (5073/5284) 2025-08-14T21:37:17.4930719Z Resolving deltas: 97% (5126/5284) 2025-08-14T21:37:17.4958297Z Resolving deltas: 98% (5179/5284) 2025-08-14T21:37:17.4991911Z Resolving deltas: 99% (5232/5284) 2025-08-14T21:37:17.5039300Z Resolving deltas: 100% (5284/5284) 2025-08-14T21:37:17.5039548Z Resolving deltas: 100% (5284/5284), done. 2025-08-14T21:37:17.5409206Z Cloning into '/var/lib/jenkins/pytorch/fbgemm/external/composable_kernel'... 2025-08-14T21:37:17.7832494Z remote: Enumerating objects: 40913, done. 2025-08-14T21:37:17.8556861Z Receiving objects: 0% (1/40913) 2025-08-14T21:37:17.8751912Z Receiving objects: 1% (410/40913) 2025-08-14T21:37:17.8908829Z Receiving objects: 2% (819/40913) 2025-08-14T21:37:17.8932583Z Receiving objects: 3% (1228/40913) 2025-08-14T21:37:17.9097835Z Receiving objects: 4% (1637/40913) 2025-08-14T21:37:17.9237229Z Receiving objects: 5% (2046/40913) 2025-08-14T21:37:17.9268713Z Receiving objects: 6% (2455/40913) 2025-08-14T21:37:17.9364550Z Receiving objects: 7% (2864/40913) 2025-08-14T21:37:17.9499888Z Receiving objects: 8% (3274/40913) 2025-08-14T21:37:17.9585215Z Receiving objects: 9% (3683/40913) 2025-08-14T21:37:17.9634184Z Receiving objects: 10% (4092/40913) 2025-08-14T21:37:17.9654456Z Receiving objects: 11% (4501/40913) 2025-08-14T21:37:17.9667528Z Receiving objects: 12% (4910/40913) 2025-08-14T21:37:17.9676648Z Receiving objects: 13% (5319/40913) 2025-08-14T21:37:17.9686099Z Receiving objects: 14% (5728/40913) 2025-08-14T21:37:17.9715947Z Receiving objects: 15% (6137/40913) 2025-08-14T21:37:17.9750039Z Receiving objects: 16% (6547/40913) 2025-08-14T21:37:17.9809040Z Receiving objects: 17% (6956/40913) 2025-08-14T21:37:17.9835587Z Receiving objects: 18% (7365/40913) 2025-08-14T21:37:17.9902578Z Receiving objects: 19% (7774/40913) 2025-08-14T21:37:17.9918548Z Receiving objects: 20% (8183/40913) 2025-08-14T21:37:17.9943889Z Receiving objects: 21% (8592/40913) 2025-08-14T21:37:17.9971613Z Receiving objects: 22% (9001/40913) 2025-08-14T21:37:18.0006816Z Receiving objects: 23% (9410/40913) 2025-08-14T21:37:18.0045633Z Receiving objects: 24% (9820/40913) 2025-08-14T21:37:18.0087459Z Receiving objects: 25% (10229/40913) 2025-08-14T21:37:18.0108711Z Receiving objects: 26% (10638/40913) 2025-08-14T21:37:18.0136594Z Receiving objects: 27% (11047/40913) 2025-08-14T21:37:18.0162292Z Receiving objects: 28% (11456/40913) 2025-08-14T21:37:18.0187077Z Receiving objects: 29% (11865/40913) 2025-08-14T21:37:18.0230275Z Receiving objects: 30% (12274/40913) 2025-08-14T21:37:18.0255379Z Receiving objects: 31% (12684/40913) 2025-08-14T21:37:18.0284433Z Receiving objects: 32% (13093/40913) 2025-08-14T21:37:18.0310725Z Receiving objects: 33% (13502/40913) 2025-08-14T21:37:18.0321855Z Receiving objects: 34% (13911/40913) 2025-08-14T21:37:18.0329953Z Receiving objects: 35% (14320/40913) 2025-08-14T21:37:18.0346144Z Receiving objects: 36% (14729/40913) 2025-08-14T21:37:18.0353281Z Receiving objects: 37% (15138/40913) 2025-08-14T21:37:18.0359282Z Receiving objects: 38% (15547/40913) 2025-08-14T21:37:18.0366053Z Receiving objects: 39% (15957/40913) 2025-08-14T21:37:18.0371330Z Receiving objects: 40% (16366/40913) 2025-08-14T21:37:18.0395877Z Receiving objects: 41% (16775/40913) 2025-08-14T21:37:18.0401071Z Receiving objects: 42% (17184/40913) 2025-08-14T21:37:18.0428629Z Receiving objects: 43% (17593/40913) 2025-08-14T21:37:18.0487733Z Receiving objects: 44% (18002/40913) 2025-08-14T21:37:18.0508470Z Receiving objects: 45% (18411/40913) 2025-08-14T21:37:18.0527281Z Receiving objects: 46% (18820/40913) 2025-08-14T21:37:18.0549315Z Receiving objects: 47% (19230/40913) 2025-08-14T21:37:18.0562558Z Receiving objects: 48% (19639/40913) 2025-08-14T21:37:18.0571802Z Receiving objects: 49% (20048/40913) 2025-08-14T21:37:18.0584247Z Receiving objects: 50% (20457/40913) 2025-08-14T21:37:18.0601252Z Receiving objects: 51% (20866/40913) 2025-08-14T21:37:18.0608553Z Receiving objects: 52% (21275/40913) 2025-08-14T21:37:18.0616058Z Receiving objects: 53% (21684/40913) 2025-08-14T21:37:18.0638187Z Receiving objects: 54% (22094/40913) 2025-08-14T21:37:18.0644152Z Receiving objects: 55% (22503/40913) 2025-08-14T21:37:18.0651148Z Receiving objects: 56% (22912/40913) 2025-08-14T21:37:18.0687263Z Receiving objects: 57% (23321/40913) 2025-08-14T21:37:18.0702593Z Receiving objects: 58% (23730/40913) 2025-08-14T21:37:18.0710862Z Receiving objects: 59% (24139/40913) 2025-08-14T21:37:18.0743985Z Receiving objects: 60% (24548/40913) 2025-08-14T21:37:18.0752193Z Receiving objects: 61% (24957/40913) 2025-08-14T21:37:18.0772904Z Receiving objects: 62% (25367/40913) 2025-08-14T21:37:18.0780378Z Receiving objects: 63% (25776/40913) 2025-08-14T21:37:18.0800145Z Receiving objects: 64% (26185/40913) 2025-08-14T21:37:18.0820868Z Receiving objects: 65% (26594/40913) 2025-08-14T21:37:18.0842601Z Receiving objects: 66% (27003/40913) 2025-08-14T21:37:18.0865523Z Receiving objects: 67% (27412/40913) 2025-08-14T21:37:18.0899075Z Receiving objects: 68% (27821/40913) 2025-08-14T21:37:18.0933634Z Receiving objects: 69% (28230/40913) 2025-08-14T21:37:18.0960284Z Receiving objects: 70% (28640/40913) 2025-08-14T21:37:18.0973205Z Receiving objects: 71% (29049/40913) 2025-08-14T21:37:18.1009006Z Receiving objects: 72% (29458/40913) 2025-08-14T21:37:18.1009592Z Receiving objects: 73% (29867/40913) 2025-08-14T21:37:18.1009790Z Receiving objects: 74% (30276/40913) 2025-08-14T21:37:18.1010171Z Receiving objects: 75% (30685/40913) 2025-08-14T21:37:18.1017367Z Receiving objects: 76% (31094/40913) 2025-08-14T21:37:18.1038649Z Receiving objects: 77% (31504/40913) 2025-08-14T21:37:18.1062382Z Receiving objects: 78% (31913/40913) 2025-08-14T21:37:18.1075315Z Receiving objects: 79% (32322/40913) 2025-08-14T21:37:18.1087740Z Receiving objects: 80% (32731/40913) 2025-08-14T21:37:18.1109209Z Receiving objects: 81% (33140/40913) 2025-08-14T21:37:18.1113573Z Receiving objects: 82% (33549/40913) 2025-08-14T21:37:18.1125224Z Receiving objects: 83% (33958/40913) 2025-08-14T21:37:18.1132937Z Receiving objects: 84% (34367/40913) 2025-08-14T21:37:18.1141153Z Receiving objects: 85% (34777/40913) 2025-08-14T21:37:18.1159055Z Receiving objects: 86% (35186/40913) 2025-08-14T21:37:18.1179549Z Receiving objects: 87% (35595/40913) 2025-08-14T21:37:18.1204805Z Receiving objects: 88% (36004/40913) 2025-08-14T21:37:18.1232629Z Receiving objects: 89% (36413/40913) 2025-08-14T21:37:18.1252197Z Receiving objects: 90% (36822/40913) 2025-08-14T21:37:18.1259502Z Receiving objects: 91% (37231/40913) 2025-08-14T21:37:18.1267694Z Receiving objects: 92% (37640/40913) 2025-08-14T21:37:18.1281356Z Receiving objects: 93% (38050/40913) 2025-08-14T21:37:18.1295218Z Receiving objects: 94% (38459/40913) 2025-08-14T21:37:18.1368973Z Receiving objects: 95% (38868/40913) 2025-08-14T21:37:18.1369154Z Receiving objects: 96% (39277/40913) 2025-08-14T21:37:18.1371417Z Receiving objects: 97% (39686/40913) 2025-08-14T21:37:18.1401963Z Receiving objects: 98% (40095/40913) 2025-08-14T21:37:18.1417822Z Receiving objects: 99% (40504/40913) 2025-08-14T21:37:18.1418159Z remote: Total 40913 (delta 0), reused 0 (delta 0), pack-reused 40913 (from 1) 2025-08-14T21:37:18.1418413Z Receiving objects: 100% (40913/40913) 2025-08-14T21:37:18.1418626Z Receiving objects: 100% (40913/40913), 19.08 MiB | 53.24 MiB/s, done. 2025-08-14T21:37:18.1455006Z Resolving deltas: 0% (0/30219) 2025-08-14T21:37:18.1463199Z Resolving deltas: 1% (305/30219) 2025-08-14T21:37:18.1475169Z Resolving deltas: 2% (605/30219) 2025-08-14T21:37:18.1488216Z Resolving deltas: 3% (907/30219) 2025-08-14T21:37:18.1501827Z Resolving deltas: 4% (1209/30219) 2025-08-14T21:37:18.1509836Z Resolving deltas: 5% (1511/30219) 2025-08-14T21:37:18.1526099Z Resolving deltas: 6% (1815/30219) 2025-08-14T21:37:18.1535474Z Resolving deltas: 7% (2116/30219) 2025-08-14T21:37:18.1551640Z Resolving deltas: 8% (2418/30219) 2025-08-14T21:37:18.1561355Z Resolving deltas: 9% (2720/30219) 2025-08-14T21:37:18.1573675Z Resolving deltas: 10% (3022/30219) 2025-08-14T21:37:18.1589312Z Resolving deltas: 11% (3325/30219) 2025-08-14T21:37:18.1603545Z Resolving deltas: 12% (3627/30219) 2025-08-14T21:37:18.1641265Z Resolving deltas: 13% (3929/30219) 2025-08-14T21:37:18.1643429Z Resolving deltas: 14% (4231/30219) 2025-08-14T21:37:18.1660145Z Resolving deltas: 15% (4533/30219) 2025-08-14T21:37:18.1660674Z Resolving deltas: 16% (4836/30219) 2025-08-14T21:37:18.1679548Z Resolving deltas: 17% (5138/30219) 2025-08-14T21:37:18.1697312Z Resolving deltas: 18% (5440/30219) 2025-08-14T21:37:18.1721452Z Resolving deltas: 19% (5742/30219) 2025-08-14T21:37:18.1729196Z Resolving deltas: 20% (6044/30219) 2025-08-14T21:37:18.1767500Z Resolving deltas: 21% (6346/30219) 2025-08-14T21:37:18.1785699Z Resolving deltas: 22% (6649/30219) 2025-08-14T21:37:18.1786014Z Resolving deltas: 23% (6951/30219) 2025-08-14T21:37:18.1813805Z Resolving deltas: 24% (7253/30219) 2025-08-14T21:37:18.1819383Z Resolving deltas: 25% (7557/30219) 2025-08-14T21:37:18.1850036Z Resolving deltas: 26% (7857/30219) 2025-08-14T21:37:18.1861806Z Resolving deltas: 27% (8160/30219) 2025-08-14T21:37:18.1873587Z Resolving deltas: 28% (8462/30219) 2025-08-14T21:37:18.1881896Z Resolving deltas: 29% (8764/30219) 2025-08-14T21:37:18.1897575Z Resolving deltas: 30% (9066/30219) 2025-08-14T21:37:18.1912610Z Resolving deltas: 31% (9368/30219) 2025-08-14T21:37:18.1935361Z Resolving deltas: 32% (9671/30219) 2025-08-14T21:37:18.1952053Z Resolving deltas: 33% (9973/30219) 2025-08-14T21:37:18.1967720Z Resolving deltas: 34% (10275/30219) 2025-08-14T21:37:18.1976828Z Resolving deltas: 35% (10577/30219) 2025-08-14T21:37:18.2008565Z Resolving deltas: 36% (10879/30219) 2025-08-14T21:37:18.2024280Z Resolving deltas: 37% (11182/30219) 2025-08-14T21:37:18.2047196Z Resolving deltas: 38% (11484/30219) 2025-08-14T21:37:18.2074856Z Resolving deltas: 39% (11786/30219) 2025-08-14T21:37:18.2090099Z Resolving deltas: 40% (12088/30219) 2025-08-14T21:37:18.2104408Z Resolving deltas: 41% (12390/30219) 2025-08-14T21:37:18.2122706Z Resolving deltas: 42% (12692/30219) 2025-08-14T21:37:18.2146046Z Resolving deltas: 43% (12995/30219) 2025-08-14T21:37:18.2158709Z Resolving deltas: 44% (13297/30219) 2025-08-14T21:37:18.2171078Z Resolving deltas: 45% (13599/30219) 2025-08-14T21:37:18.2192721Z Resolving deltas: 46% (13901/30219) 2025-08-14T21:37:18.2208805Z Resolving deltas: 47% (14203/30219) 2025-08-14T21:37:18.2312892Z Resolving deltas: 48% (14506/30219) 2025-08-14T21:37:18.2313252Z Resolving deltas: 49% (14808/30219) 2025-08-14T21:37:18.2385121Z Resolving deltas: 50% (15110/30219) 2025-08-14T21:37:18.2400934Z Resolving deltas: 51% (15412/30219) 2025-08-14T21:37:18.2425038Z Resolving deltas: 52% (15714/30219) 2025-08-14T21:37:18.2439834Z Resolving deltas: 53% (16017/30219) 2025-08-14T21:37:18.2519806Z Resolving deltas: 54% (16319/30219) 2025-08-14T21:37:18.2522306Z Resolving deltas: 55% (16621/30219) 2025-08-14T21:37:18.2559696Z Resolving deltas: 56% (16923/30219) 2025-08-14T21:37:18.2590787Z Resolving deltas: 57% (17225/30219) 2025-08-14T21:37:18.2619096Z Resolving deltas: 58% (17528/30219) 2025-08-14T21:37:18.2647634Z Resolving deltas: 59% (17830/30219) 2025-08-14T21:37:18.2660314Z Resolving deltas: 60% (18132/30219) 2025-08-14T21:37:18.2682886Z Resolving deltas: 61% (18434/30219) 2025-08-14T21:37:18.2706990Z Resolving deltas: 62% (18736/30219) 2025-08-14T21:37:18.2770044Z Resolving deltas: 63% (19038/30219) 2025-08-14T21:37:18.2775373Z Resolving deltas: 64% (19341/30219) 2025-08-14T21:37:18.2788471Z Resolving deltas: 65% (19643/30219) 2025-08-14T21:37:18.2823318Z Resolving deltas: 66% (19946/30219) 2025-08-14T21:37:18.2898963Z Resolving deltas: 67% (20247/30219) 2025-08-14T21:37:18.2918031Z Resolving deltas: 68% (20549/30219) 2025-08-14T21:37:18.2933543Z Resolving deltas: 69% (20852/30219) 2025-08-14T21:37:18.2944700Z Resolving deltas: 70% (21157/30219) 2025-08-14T21:37:18.2960045Z Resolving deltas: 71% (21456/30219) 2025-08-14T21:37:18.2990512Z Resolving deltas: 72% (21758/30219) 2025-08-14T21:37:18.3013000Z Resolving deltas: 73% (22060/30219) 2025-08-14T21:37:18.3032981Z Resolving deltas: 74% (22363/30219) 2025-08-14T21:37:18.3058416Z Resolving deltas: 75% (22665/30219) 2025-08-14T21:37:18.3090076Z Resolving deltas: 76% (22967/30219) 2025-08-14T21:37:18.3112694Z Resolving deltas: 77% (23269/30219) 2025-08-14T21:37:18.3140572Z Resolving deltas: 78% (23571/30219) 2025-08-14T21:37:18.3190990Z Resolving deltas: 79% (23874/30219) 2025-08-14T21:37:18.3194787Z Resolving deltas: 80% (24176/30219) 2025-08-14T21:37:18.3208463Z Resolving deltas: 81% (24478/30219) 2025-08-14T21:37:18.3227954Z Resolving deltas: 82% (24780/30219) 2025-08-14T21:37:18.3250431Z Resolving deltas: 83% (25082/30219) 2025-08-14T21:37:18.3272390Z Resolving deltas: 84% (25384/30219) 2025-08-14T21:37:18.3300506Z Resolving deltas: 85% (25687/30219) 2025-08-14T21:37:18.3302708Z Resolving deltas: 86% (25989/30219) 2025-08-14T21:37:18.3351665Z Resolving deltas: 87% (26291/30219) 2025-08-14T21:37:18.3360932Z Resolving deltas: 88% (26593/30219) 2025-08-14T21:37:18.3377032Z Resolving deltas: 89% (26895/30219) 2025-08-14T21:37:18.3397529Z Resolving deltas: 90% (27198/30219) 2025-08-14T21:37:18.3424723Z Resolving deltas: 91% (27500/30219) 2025-08-14T21:37:18.3444254Z Resolving deltas: 92% (27802/30219) 2025-08-14T21:37:18.3559621Z Resolving deltas: 93% (28104/30219) 2025-08-14T21:37:18.3562859Z Resolving deltas: 94% (28406/30219) 2025-08-14T21:37:18.3563027Z Resolving deltas: 95% (28709/30219) 2025-08-14T21:37:18.3587001Z Resolving deltas: 96% (29011/30219) 2025-08-14T21:37:18.3601869Z Resolving deltas: 97% (29313/30219) 2025-08-14T21:37:18.3618405Z Resolving deltas: 98% (29615/30219) 2025-08-14T21:37:18.3669931Z Resolving deltas: 99% (29917/30219) 2025-08-14T21:37:18.3670189Z Resolving deltas: 100% (30219/30219) 2025-08-14T21:37:18.3670388Z Resolving deltas: 100% (30219/30219), done. 2025-08-14T21:37:18.4058743Z Cloning into '/var/lib/jenkins/pytorch/fbgemm/external/cpuinfo'... 2025-08-14T21:37:18.6000685Z remote: Enumerating objects: 7121, done. 2025-08-14T21:37:18.6000957Z remote: Counting objects: 0% (1/2691) 2025-08-14T21:37:18.6004709Z remote: Counting objects: 1% (27/2691) 2025-08-14T21:37:18.6004945Z remote: Counting objects: 2% (54/2691) 2025-08-14T21:37:18.6005171Z remote: Counting objects: 3% (81/2691) 2025-08-14T21:37:18.6005382Z remote: Counting objects: 4% (108/2691) 2025-08-14T21:37:18.6005593Z remote: Counting objects: 5% (135/2691) 2025-08-14T21:37:18.6005792Z remote: Counting objects: 6% (162/2691) 2025-08-14T21:37:18.6005987Z remote: Counting objects: 7% (189/2691) 2025-08-14T21:37:18.6006184Z remote: Counting objects: 8% (216/2691) 2025-08-14T21:37:18.6060885Z remote: Counting objects: 9% (243/2691) 2025-08-14T21:37:18.6061603Z remote: Counting objects: 10% (270/2691) 2025-08-14T21:37:18.6066142Z remote: Counting objects: 11% (297/2691) 2025-08-14T21:37:18.6066417Z remote: Counting objects: 12% (323/2691) 2025-08-14T21:37:18.6066582Z remote: Counting objects: 13% (350/2691) 2025-08-14T21:37:18.6066821Z remote: Counting objects: 14% (377/2691) 2025-08-14T21:37:18.6066989Z remote: Counting objects: 15% (404/2691) 2025-08-14T21:37:18.6067712Z remote: Counting objects: 16% (431/2691) 2025-08-14T21:37:18.6068427Z remote: Counting objects: 17% (458/2691) 2025-08-14T21:37:18.6071195Z remote: Counting objects: 18% (485/2691) 2025-08-14T21:37:18.6071376Z remote: Counting objects: 19% (512/2691) 2025-08-14T21:37:18.6071515Z remote: Counting objects: 20% (539/2691) 2025-08-14T21:37:18.6074140Z remote: Counting objects: 21% (566/2691) 2025-08-14T21:37:18.6074282Z remote: Counting objects: 22% (593/2691) 2025-08-14T21:37:18.6074942Z remote: Counting objects: 23% (619/2691) 2025-08-14T21:37:18.6075084Z remote: Counting objects: 24% (646/2691) 2025-08-14T21:37:18.6075234Z remote: Counting objects: 25% (673/2691) 2025-08-14T21:37:18.6075368Z remote: Counting objects: 26% (700/2691) 2025-08-14T21:37:18.6075500Z remote: Counting objects: 27% (727/2691) 2025-08-14T21:37:18.6075637Z remote: Counting objects: 28% (754/2691) 2025-08-14T21:37:18.6075777Z remote: Counting objects: 29% (781/2691) 2025-08-14T21:37:18.6075909Z remote: Counting objects: 30% (808/2691) 2025-08-14T21:37:18.6076041Z remote: Counting objects: 31% (835/2691) 2025-08-14T21:37:18.6076184Z remote: Counting objects: 32% (862/2691) 2025-08-14T21:37:18.6076326Z remote: Counting objects: 33% (889/2691) 2025-08-14T21:37:18.6076469Z remote: Counting objects: 34% (915/2691) 2025-08-14T21:37:18.6076612Z remote: Counting objects: 35% (942/2691) 2025-08-14T21:37:18.6076756Z remote: Counting objects: 36% (969/2691) 2025-08-14T21:37:18.6076892Z remote: Counting objects: 37% (996/2691) 2025-08-14T21:37:18.6077031Z remote: Counting objects: 38% (1023/2691) 2025-08-14T21:37:18.6077174Z remote: Counting objects: 39% (1050/2691) 2025-08-14T21:37:18.6077316Z remote: Counting objects: 40% (1077/2691) 2025-08-14T21:37:18.6077455Z remote: Counting objects: 41% (1104/2691) 2025-08-14T21:37:18.6079213Z remote: Counting objects: 42% (1131/2691) 2025-08-14T21:37:18.6079360Z remote: Counting objects: 43% (1158/2691) 2025-08-14T21:37:18.6079496Z remote: Counting objects: 44% (1185/2691) 2025-08-14T21:37:18.6079629Z remote: Counting objects: 45% (1211/2691) 2025-08-14T21:37:18.6079762Z remote: Counting objects: 46% (1238/2691) 2025-08-14T21:37:18.6079896Z remote: Counting objects: 47% (1265/2691) 2025-08-14T21:37:18.6080041Z remote: Counting objects: 48% (1292/2691) 2025-08-14T21:37:18.6080174Z remote: Counting objects: 49% (1319/2691) 2025-08-14T21:37:18.6080307Z remote: Counting objects: 50% (1346/2691) 2025-08-14T21:37:18.6080644Z remote: Counting objects: 51% (1373/2691) 2025-08-14T21:37:18.6080781Z remote: Counting objects: 52% (1400/2691) 2025-08-14T21:37:18.6082029Z remote: Counting objects: 53% (1427/2691) 2025-08-14T21:37:18.6082166Z remote: Counting objects: 54% (1454/2691) 2025-08-14T21:37:18.6082302Z remote: Counting objects: 55% (1481/2691) 2025-08-14T21:37:18.6082436Z remote: Counting objects: 56% (1507/2691) 2025-08-14T21:37:18.6082570Z remote: Counting objects: 57% (1534/2691) 2025-08-14T21:37:18.6082701Z remote: Counting objects: 58% (1561/2691) 2025-08-14T21:37:18.6082832Z remote: Counting objects: 59% (1588/2691) 2025-08-14T21:37:18.6082968Z remote: Counting objects: 60% (1615/2691) 2025-08-14T21:37:18.6083105Z remote: Counting objects: 61% (1642/2691) 2025-08-14T21:37:18.6083237Z remote: Counting objects: 62% (1669/2691) 2025-08-14T21:37:18.6083372Z remote: Counting objects: 63% (1696/2691) 2025-08-14T21:37:18.6084525Z remote: Counting objects: 64% (1723/2691) 2025-08-14T21:37:18.6084663Z remote: Counting objects: 65% (1750/2691) 2025-08-14T21:37:18.6084798Z remote: Counting objects: 66% (1777/2691) 2025-08-14T21:37:18.6084929Z remote: Counting objects: 67% (1803/2691) 2025-08-14T21:37:18.6085064Z remote: Counting objects: 68% (1830/2691) 2025-08-14T21:37:18.6085197Z remote: Counting objects: 69% (1857/2691) 2025-08-14T21:37:18.6085329Z remote: Counting objects: 70% (1884/2691) 2025-08-14T21:37:18.6085462Z remote: Counting objects: 71% (1911/2691) 2025-08-14T21:37:18.6085594Z remote: Counting objects: 72% (1938/2691) 2025-08-14T21:37:18.6085727Z remote: Counting objects: 73% (1965/2691) 2025-08-14T21:37:18.6085988Z remote: Counting objects: 74% (1992/2691) 2025-08-14T21:37:18.6087133Z remote: Counting objects: 75% (2019/2691) 2025-08-14T21:37:18.6087275Z remote: Counting objects: 76% (2046/2691) 2025-08-14T21:37:18.6087407Z remote: Counting objects: 77% (2073/2691) 2025-08-14T21:37:18.6087540Z remote: Counting objects: 78% (2099/2691) 2025-08-14T21:37:18.6087672Z remote: Counting objects: 79% (2126/2691) 2025-08-14T21:37:18.6087808Z remote: Counting objects: 80% (2153/2691) 2025-08-14T21:37:18.6088006Z remote: Counting objects: 81% (2180/2691) 2025-08-14T21:37:18.6088139Z remote: Counting objects: 82% (2207/2691) 2025-08-14T21:37:18.6088271Z remote: Counting objects: 83% (2234/2691) 2025-08-14T21:37:18.6088405Z remote: Counting objects: 84% (2261/2691) 2025-08-14T21:37:18.6088538Z remote: Counting objects: 85% (2288/2691) 2025-08-14T21:37:18.6089669Z remote: Counting objects: 86% (2315/2691) 2025-08-14T21:37:18.6089806Z remote: Counting objects: 87% (2342/2691) 2025-08-14T21:37:18.6089940Z remote: Counting objects: 88% (2369/2691) 2025-08-14T21:37:18.6090077Z remote: Counting objects: 89% (2395/2691) 2025-08-14T21:37:18.6090210Z remote: Counting objects: 90% (2422/2691) 2025-08-14T21:37:18.6090341Z remote: Counting objects: 91% (2449/2691) 2025-08-14T21:37:18.6090476Z remote: Counting objects: 92% (2476/2691) 2025-08-14T21:37:18.6090608Z remote: Counting objects: 93% (2503/2691) 2025-08-14T21:37:18.6090740Z remote: Counting objects: 94% (2530/2691) 2025-08-14T21:37:18.6090873Z remote: Counting objects: 95% (2557/2691) 2025-08-14T21:37:18.6091009Z remote: Counting objects: 96% (2584/2691) 2025-08-14T21:37:18.6092111Z remote: Counting objects: 97% (2611/2691) 2025-08-14T21:37:18.6092244Z remote: Counting objects: 98% (2638/2691) 2025-08-14T21:37:18.6092374Z remote: Counting objects: 99% (2665/2691) 2025-08-14T21:37:18.6092517Z remote: Counting objects: 100% (2691/2691) 2025-08-14T21:37:18.6092665Z remote: Counting objects: 100% (2691/2691), done. 2025-08-14T21:37:18.6092904Z remote: Compressing objects: 0% (1/550) 2025-08-14T21:37:18.6093043Z remote: Compressing objects: 1% (6/550) 2025-08-14T21:37:18.6093180Z remote: Compressing objects: 2% (11/550) 2025-08-14T21:37:18.6176357Z remote: Compressing objects: 3% (17/550) 2025-08-14T21:37:18.6176934Z remote: Compressing objects: 4% (22/550) 2025-08-14T21:37:18.6180427Z remote: Compressing objects: 5% (28/550) 2025-08-14T21:37:18.6180603Z remote: Compressing objects: 6% (33/550) 2025-08-14T21:37:18.6180764Z remote: Compressing objects: 7% (39/550) 2025-08-14T21:37:18.6180924Z remote: Compressing objects: 8% (44/550) 2025-08-14T21:37:18.6181069Z remote: Compressing objects: 9% (50/550) 2025-08-14T21:37:18.6182862Z remote: Compressing objects: 10% (55/550) 2025-08-14T21:37:18.6192959Z remote: Compressing objects: 11% (61/550) 2025-08-14T21:37:18.6211876Z remote: Compressing objects: 12% (66/550) 2025-08-14T21:37:18.6228924Z remote: Compressing objects: 13% (72/550) 2025-08-14T21:37:18.6245053Z remote: Compressing objects: 14% (77/550) 2025-08-14T21:37:18.6313040Z remote: Compressing objects: 15% (83/550) 2025-08-14T21:37:18.6322962Z remote: Compressing objects: 16% (88/550) 2025-08-14T21:37:18.6326318Z remote: Compressing objects: 17% (94/550) 2025-08-14T21:37:18.6358576Z remote: Compressing objects: 18% (99/550) 2025-08-14T21:37:18.6398620Z remote: Compressing objects: 19% (105/550) 2025-08-14T21:37:18.6451715Z remote: Compressing objects: 20% (110/550) 2025-08-14T21:37:18.6504804Z remote: Compressing objects: 21% (116/550) 2025-08-14T21:37:18.6536951Z remote: Compressing objects: 22% (121/550) 2025-08-14T21:37:18.6551997Z remote: Compressing objects: 23% (127/550) 2025-08-14T21:37:18.6559308Z remote: Compressing objects: 24% (132/550) 2025-08-14T21:37:18.6569109Z remote: Compressing objects: 25% (138/550) 2025-08-14T21:37:18.6586290Z remote: Compressing objects: 26% (143/550) 2025-08-14T21:37:18.6600173Z remote: Compressing objects: 27% (149/550) 2025-08-14T21:37:18.6645104Z remote: Compressing objects: 28% (154/550) 2025-08-14T21:37:18.6710723Z remote: Compressing objects: 29% (160/550) 2025-08-14T21:37:18.6770638Z remote: Compressing objects: 30% (165/550) 2025-08-14T21:37:18.6873141Z remote: Compressing objects: 31% (171/550) 2025-08-14T21:37:18.6919410Z remote: Compressing objects: 32% (176/550) 2025-08-14T21:37:18.6925862Z remote: Compressing objects: 33% (182/550) 2025-08-14T21:37:18.6979454Z remote: Compressing objects: 34% (187/550) 2025-08-14T21:37:18.7038879Z remote: Compressing objects: 35% (193/550) 2025-08-14T21:37:18.7113757Z remote: Compressing objects: 36% (198/550) 2025-08-14T21:37:18.7158685Z remote: Compressing objects: 37% (204/550) 2025-08-14T21:37:18.7222844Z remote: Compressing objects: 38% (209/550) 2025-08-14T21:37:18.7257362Z remote: Compressing objects: 39% (215/550) 2025-08-14T21:37:18.7296274Z remote: Compressing objects: 40% (220/550) 2025-08-14T21:37:18.7335211Z remote: Compressing objects: 41% (226/550) 2025-08-14T21:37:18.7369578Z remote: Compressing objects: 42% (231/550) 2025-08-14T21:37:18.7401336Z remote: Compressing objects: 43% (237/550) 2025-08-14T21:37:18.7431824Z remote: Compressing objects: 44% (242/550) 2025-08-14T21:37:18.7450118Z remote: Compressing objects: 45% (248/550) 2025-08-14T21:37:18.7466273Z remote: Compressing objects: 46% (253/550) 2025-08-14T21:37:18.7485241Z remote: Compressing objects: 47% (259/550) 2025-08-14T21:37:18.7506209Z remote: Compressing objects: 48% (264/550) 2025-08-14T21:37:18.7517356Z remote: Compressing objects: 49% (270/550) 2025-08-14T21:37:18.7521802Z remote: Compressing objects: 50% (275/550) 2025-08-14T21:37:18.7531592Z remote: Compressing objects: 51% (281/550) 2025-08-14T21:37:18.7538320Z remote: Compressing objects: 52% (286/550) 2025-08-14T21:37:18.7543015Z remote: Compressing objects: 53% (292/550) 2025-08-14T21:37:18.7549620Z remote: Compressing objects: 54% (297/550) 2025-08-14T21:37:18.7555939Z remote: Compressing objects: 55% (303/550) 2025-08-14T21:37:18.7558303Z remote: Compressing objects: 56% (308/550) 2025-08-14T21:37:18.7560941Z remote: Compressing objects: 57% (314/550) 2025-08-14T21:37:18.7562256Z remote: Compressing objects: 58% (319/550) 2025-08-14T21:37:18.7563838Z remote: Compressing objects: 59% (325/550) 2025-08-14T21:37:18.7564160Z remote: Compressing objects: 60% (330/550) 2025-08-14T21:37:18.7565491Z remote: Compressing objects: 61% (336/550) 2025-08-14T21:37:18.7567618Z remote: Compressing objects: 62% (341/550) 2025-08-14T21:37:18.7568839Z remote: Compressing objects: 63% (347/550) 2025-08-14T21:37:18.7570026Z remote: Compressing objects: 64% (352/550) 2025-08-14T21:37:18.7571438Z remote: Compressing objects: 65% (358/550) 2025-08-14T21:37:18.7574624Z remote: Compressing objects: 66% (363/550) 2025-08-14T21:37:18.7575886Z remote: Compressing objects: 67% (369/550) 2025-08-14T21:37:18.7578127Z remote: Compressing objects: 68% (374/550) 2025-08-14T21:37:18.7609161Z remote: Compressing objects: 69% (380/550) 2025-08-14T21:37:18.7610037Z remote: Compressing objects: 70% (385/550) 2025-08-14T21:37:18.7610223Z remote: Compressing objects: 71% (391/550) 2025-08-14T21:37:18.7610413Z remote: Compressing objects: 72% (396/550) 2025-08-14T21:37:18.7610561Z remote: Compressing objects: 73% (402/550) 2025-08-14T21:37:18.7611212Z remote: Compressing objects: 74% (407/550) 2025-08-14T21:37:18.7611358Z remote: Compressing objects: 75% (413/550) 2025-08-14T21:37:18.7611509Z remote: Compressing objects: 76% (418/550) 2025-08-14T21:37:18.7611658Z remote: Compressing objects: 77% (424/550) 2025-08-14T21:37:18.7611805Z remote: Compressing objects: 78% (429/550) 2025-08-14T21:37:18.7616271Z remote: Compressing objects: 79% (435/550) 2025-08-14T21:37:18.7616445Z remote: Compressing objects: 80% (440/550) 2025-08-14T21:37:18.7616597Z remote: Compressing objects: 81% (446/550) 2025-08-14T21:37:18.7616744Z remote: Compressing objects: 82% (451/550) 2025-08-14T21:37:18.7616881Z remote: Compressing objects: 83% (457/550) 2025-08-14T21:37:18.7617016Z remote: Compressing objects: 84% (462/550) 2025-08-14T21:37:18.7617150Z remote: Compressing objects: 85% (468/550) 2025-08-14T21:37:18.7617294Z remote: Compressing objects: 86% (473/550) 2025-08-14T21:37:18.7617429Z remote: Compressing objects: 87% (479/550) 2025-08-14T21:37:18.7617567Z remote: Compressing objects: 88% (484/550) 2025-08-14T21:37:18.7617709Z remote: Compressing objects: 89% (490/550) 2025-08-14T21:37:18.7619571Z remote: Compressing objects: 90% (495/550) 2025-08-14T21:37:18.7619715Z remote: Compressing objects: 91% (501/550) 2025-08-14T21:37:18.7619850Z remote: Compressing objects: 92% (506/550) 2025-08-14T21:37:18.7619984Z remote: Compressing objects: 93% (512/550) 2025-08-14T21:37:18.7620126Z remote: Compressing objects: 94% (517/550) 2025-08-14T21:37:18.7620261Z remote: Compressing objects: 95% (523/550) 2025-08-14T21:37:18.7620396Z remote: Compressing objects: 96% (528/550) 2025-08-14T21:37:18.7620530Z remote: Compressing objects: 97% (534/550) 2025-08-14T21:37:18.7620667Z remote: Compressing objects: 98% (539/550) 2025-08-14T21:37:18.7620814Z remote: Compressing objects: 99% (545/550) 2025-08-14T21:37:18.7620949Z remote: Compressing objects: 100% (550/550) 2025-08-14T21:37:18.7622557Z remote: Compressing objects: 100% (550/550), done. 2025-08-14T21:37:18.7862003Z Receiving objects: 0% (1/7121) 2025-08-14T21:37:18.7934189Z Receiving objects: 1% (72/7121) 2025-08-14T21:37:18.8040689Z Receiving objects: 2% (143/7121) 2025-08-14T21:37:18.8054805Z Receiving objects: 3% (214/7121) 2025-08-14T21:37:18.8075239Z Receiving objects: 4% (285/7121) 2025-08-14T21:37:18.8090768Z Receiving objects: 5% (357/7121) 2025-08-14T21:37:18.8093839Z Receiving objects: 6% (428/7121) 2025-08-14T21:37:18.8103149Z Receiving objects: 7% (499/7121) 2025-08-14T21:37:18.8105731Z Receiving objects: 8% (570/7121) 2025-08-14T21:37:18.8116097Z Receiving objects: 9% (641/7121) 2025-08-14T21:37:18.8141683Z Receiving objects: 10% (713/7121) 2025-08-14T21:37:18.8144916Z Receiving objects: 11% (784/7121) 2025-08-14T21:37:18.8219503Z Receiving objects: 12% (855/7121) 2025-08-14T21:37:18.8222767Z Receiving objects: 13% (926/7121) 2025-08-14T21:37:18.8250146Z Receiving objects: 14% (997/7121) 2025-08-14T21:37:18.8278307Z Receiving objects: 15% (1069/7121) 2025-08-14T21:37:18.8280847Z Receiving objects: 16% (1140/7121) 2025-08-14T21:37:18.8282430Z Receiving objects: 17% (1211/7121) 2025-08-14T21:37:18.8994439Z Receiving objects: 18% (1282/7121) 2025-08-14T21:37:18.8996205Z Receiving objects: 19% (1353/7121) 2025-08-14T21:37:18.9000509Z Receiving objects: 20% (1425/7121) 2025-08-14T21:37:18.9000703Z Receiving objects: 21% (1496/7121) 2025-08-14T21:37:18.9000858Z Receiving objects: 22% (1567/7121) 2025-08-14T21:37:18.9002822Z Receiving objects: 23% (1638/7121) 2025-08-14T21:37:18.9003484Z Receiving objects: 24% (1710/7121) 2025-08-14T21:37:18.9004148Z Receiving objects: 25% (1781/7121) 2025-08-14T21:37:18.9005814Z Receiving objects: 26% (1852/7121) 2025-08-14T21:37:18.9006476Z Receiving objects: 27% (1923/7121) 2025-08-14T21:37:18.9007070Z Receiving objects: 28% (1994/7121) 2025-08-14T21:37:18.9010257Z Receiving objects: 29% (2066/7121) 2025-08-14T21:37:18.9010959Z Receiving objects: 30% (2137/7121) 2025-08-14T21:37:18.9013838Z Receiving objects: 31% (2208/7121) 2025-08-14T21:37:18.9014336Z Receiving objects: 32% (2279/7121) 2025-08-14T21:37:18.9017088Z Receiving objects: 33% (2350/7121) 2025-08-14T21:37:18.9017642Z Receiving objects: 34% (2422/7121) 2025-08-14T21:37:18.9018136Z Receiving objects: 35% (2493/7121) 2025-08-14T21:37:18.9019053Z Receiving objects: 36% (2564/7121) 2025-08-14T21:37:18.9020630Z Receiving objects: 37% (2635/7121) 2025-08-14T21:37:18.9021245Z Receiving objects: 38% (2706/7121) 2025-08-14T21:37:18.9022301Z Receiving objects: 39% (2778/7121) 2025-08-14T21:37:18.9023590Z Receiving objects: 40% (2849/7121) 2025-08-14T21:37:18.9024189Z Receiving objects: 41% (2920/7121) 2025-08-14T21:37:18.9032750Z Receiving objects: 42% (2991/7121) 2025-08-14T21:37:18.9032956Z Receiving objects: 43% (3063/7121) 2025-08-14T21:37:18.9033196Z Receiving objects: 44% (3134/7121) 2025-08-14T21:37:18.9033364Z Receiving objects: 45% (3205/7121) 2025-08-14T21:37:18.9033548Z Receiving objects: 46% (3276/7121) 2025-08-14T21:37:18.9033790Z Receiving objects: 47% (3347/7121) 2025-08-14T21:37:18.9033963Z Receiving objects: 48% (3419/7121) 2025-08-14T21:37:18.9034128Z Receiving objects: 49% (3490/7121) 2025-08-14T21:37:18.9063364Z Receiving objects: 50% (3561/7121) 2025-08-14T21:37:18.9067664Z Receiving objects: 51% (3632/7121) 2025-08-14T21:37:18.9071309Z Receiving objects: 52% (3703/7121) 2025-08-14T21:37:18.9071790Z Receiving objects: 53% (3775/7121) 2025-08-14T21:37:18.9071983Z Receiving objects: 54% (3846/7121) 2025-08-14T21:37:18.9072147Z Receiving objects: 55% (3917/7121) 2025-08-14T21:37:18.9072313Z Receiving objects: 56% (3988/7121) 2025-08-14T21:37:18.9072740Z Receiving objects: 57% (4059/7121) 2025-08-14T21:37:18.9073017Z Receiving objects: 58% (4131/7121) 2025-08-14T21:37:18.9073971Z Receiving objects: 59% (4202/7121) 2025-08-14T21:37:18.9078834Z Receiving objects: 60% (4273/7121) 2025-08-14T21:37:18.9086123Z Receiving objects: 61% (4344/7121) 2025-08-14T21:37:18.9089138Z Receiving objects: 62% (4416/7121) 2025-08-14T21:37:18.9092126Z Receiving objects: 63% (4487/7121) 2025-08-14T21:37:18.9092321Z Receiving objects: 64% (4558/7121) 2025-08-14T21:37:18.9092486Z Receiving objects: 65% (4629/7121) 2025-08-14T21:37:18.9092843Z Receiving objects: 66% (4700/7121) 2025-08-14T21:37:18.9094395Z Receiving objects: 67% (4772/7121) 2025-08-14T21:37:18.9094974Z Receiving objects: 68% (4843/7121) 2025-08-14T21:37:18.9096019Z Receiving objects: 69% (4914/7121) 2025-08-14T21:37:18.9096418Z Receiving objects: 70% (4985/7121) 2025-08-14T21:37:18.9115649Z Receiving objects: 71% (5056/7121) 2025-08-14T21:37:18.9135166Z Receiving objects: 72% (5128/7121) 2025-08-14T21:37:18.9166694Z Receiving objects: 73% (5199/7121) 2025-08-14T21:37:18.9180578Z Receiving objects: 74% (5270/7121) 2025-08-14T21:37:18.9203701Z Receiving objects: 75% (5341/7121) 2025-08-14T21:37:18.9222114Z Receiving objects: 76% (5412/7121) 2025-08-14T21:37:18.9242773Z Receiving objects: 77% (5484/7121) 2025-08-14T21:37:18.9245895Z Receiving objects: 78% (5555/7121) 2025-08-14T21:37:18.9248260Z Receiving objects: 79% (5626/7121) 2025-08-14T21:37:18.9255691Z Receiving objects: 80% (5697/7121) 2025-08-14T21:37:18.9262650Z Receiving objects: 81% (5769/7121) 2025-08-14T21:37:18.9264914Z Receiving objects: 82% (5840/7121) 2025-08-14T21:37:18.9279683Z Receiving objects: 83% (5911/7121) 2025-08-14T21:37:18.9291541Z Receiving objects: 84% (5982/7121) 2025-08-14T21:37:18.9301536Z Receiving objects: 85% (6053/7121) 2025-08-14T21:37:18.9310353Z Receiving objects: 86% (6125/7121) 2025-08-14T21:37:18.9315850Z Receiving objects: 87% (6196/7121) 2025-08-14T21:37:18.9320327Z Receiving objects: 88% (6267/7121) 2025-08-14T21:37:18.9322746Z Receiving objects: 89% (6338/7121) 2025-08-14T21:37:18.9324105Z Receiving objects: 90% (6409/7121) 2025-08-14T21:37:18.9332958Z Receiving objects: 91% (6481/7121) 2025-08-14T21:37:18.9333472Z Receiving objects: 92% (6552/7121) 2025-08-14T21:37:18.9333647Z Receiving objects: 93% (6623/7121) 2025-08-14T21:37:18.9336694Z Receiving objects: 94% (6694/7121) 2025-08-14T21:37:18.9336855Z Receiving objects: 95% (6765/7121) 2025-08-14T21:37:18.9342757Z Receiving objects: 96% (6837/7121) 2025-08-14T21:37:18.9343429Z remote: Total 7121 (delta 2483), reused 2142 (delta 2141), pack-reused 4430 (from 2) 2025-08-14T21:37:18.9346444Z Receiving objects: 97% (6908/7121) 2025-08-14T21:37:18.9348229Z Receiving objects: 98% (6979/7121) 2025-08-14T21:37:18.9354053Z Receiving objects: 99% (7050/7121) 2025-08-14T21:37:18.9354522Z Receiving objects: 100% (7121/7121) 2025-08-14T21:37:18.9354711Z Receiving objects: 100% (7121/7121), 5.29 MiB | 31.67 MiB/s, done. 2025-08-14T21:37:18.9375501Z Resolving deltas: 0% (0/5344) 2025-08-14T21:37:18.9376041Z Resolving deltas: 1% (54/5344) 2025-08-14T21:37:18.9377600Z Resolving deltas: 2% (107/5344) 2025-08-14T21:37:18.9381781Z Resolving deltas: 3% (161/5344) 2025-08-14T21:37:18.9382169Z Resolving deltas: 4% (214/5344) 2025-08-14T21:37:18.9382311Z Resolving deltas: 5% (268/5344) 2025-08-14T21:37:18.9382682Z Resolving deltas: 6% (321/5344) 2025-08-14T21:37:18.9384189Z Resolving deltas: 7% (375/5344) 2025-08-14T21:37:18.9385467Z Resolving deltas: 8% (428/5344) 2025-08-14T21:37:18.9388271Z Resolving deltas: 9% (481/5344) 2025-08-14T21:37:18.9389424Z Resolving deltas: 10% (535/5344) 2025-08-14T21:37:18.9394323Z Resolving deltas: 11% (588/5344) 2025-08-14T21:37:18.9395731Z Resolving deltas: 12% (643/5344) 2025-08-14T21:37:18.9400107Z Resolving deltas: 13% (695/5344) 2025-08-14T21:37:18.9400380Z Resolving deltas: 14% (749/5344) 2025-08-14T21:37:18.9402812Z Resolving deltas: 15% (802/5344) 2025-08-14T21:37:18.9404141Z Resolving deltas: 16% (856/5344) 2025-08-14T21:37:18.9407385Z Resolving deltas: 17% (909/5344) 2025-08-14T21:37:18.9409893Z Resolving deltas: 18% (962/5344) 2025-08-14T21:37:18.9412285Z Resolving deltas: 19% (1016/5344) 2025-08-14T21:37:18.9413856Z Resolving deltas: 20% (1069/5344) 2025-08-14T21:37:18.9416152Z Resolving deltas: 21% (1124/5344) 2025-08-14T21:37:18.9418919Z Resolving deltas: 22% (1176/5344) 2025-08-14T21:37:18.9420434Z Resolving deltas: 23% (1230/5344) 2025-08-14T21:37:18.9431996Z Resolving deltas: 24% (1283/5344) 2025-08-14T21:37:18.9432144Z Resolving deltas: 25% (1336/5344) 2025-08-14T21:37:18.9432268Z Resolving deltas: 26% (1390/5344) 2025-08-14T21:37:18.9432400Z Resolving deltas: 27% (1443/5344) 2025-08-14T21:37:18.9432517Z Resolving deltas: 28% (1497/5344) 2025-08-14T21:37:18.9432631Z Resolving deltas: 29% (1550/5344) 2025-08-14T21:37:18.9434603Z Resolving deltas: 30% (1606/5344) 2025-08-14T21:37:18.9436660Z Resolving deltas: 31% (1658/5344) 2025-08-14T21:37:18.9438850Z Resolving deltas: 32% (1711/5344) 2025-08-14T21:37:18.9440881Z Resolving deltas: 33% (1764/5344) 2025-08-14T21:37:18.9444685Z Resolving deltas: 34% (1817/5344) 2025-08-14T21:37:18.9444955Z Resolving deltas: 35% (1871/5344) 2025-08-14T21:37:18.9449091Z Resolving deltas: 36% (1924/5344) 2025-08-14T21:37:18.9453084Z Resolving deltas: 37% (1978/5344) 2025-08-14T21:37:18.9456576Z Resolving deltas: 38% (2033/5344) 2025-08-14T21:37:18.9459609Z Resolving deltas: 39% (2085/5344) 2025-08-14T21:37:18.9462285Z Resolving deltas: 40% (2138/5344) 2025-08-14T21:37:18.9464133Z Resolving deltas: 41% (2192/5344) 2025-08-14T21:37:18.9464986Z Resolving deltas: 42% (2246/5344) 2025-08-14T21:37:18.9467232Z Resolving deltas: 43% (2299/5344) 2025-08-14T21:37:18.9469312Z Resolving deltas: 44% (2352/5344) 2025-08-14T21:37:18.9473599Z Resolving deltas: 45% (2405/5344) 2025-08-14T21:37:18.9476034Z Resolving deltas: 46% (2473/5344) 2025-08-14T21:37:18.9479059Z Resolving deltas: 47% (2512/5344) 2025-08-14T21:37:18.9482228Z Resolving deltas: 48% (2566/5344) 2025-08-14T21:37:18.9485297Z Resolving deltas: 49% (2619/5344) 2025-08-14T21:37:18.9487023Z Resolving deltas: 50% (2672/5344) 2025-08-14T21:37:18.9489957Z Resolving deltas: 51% (2727/5344) 2025-08-14T21:37:18.9492173Z Resolving deltas: 52% (2780/5344) 2025-08-14T21:37:18.9494478Z Resolving deltas: 53% (2833/5344) 2025-08-14T21:37:18.9496933Z Resolving deltas: 54% (2887/5344) 2025-08-14T21:37:18.9501347Z Resolving deltas: 55% (2940/5344) 2025-08-14T21:37:18.9502396Z Resolving deltas: 56% (2993/5344) 2025-08-14T21:37:18.9504732Z Resolving deltas: 57% (3047/5344) 2025-08-14T21:37:18.9506411Z Resolving deltas: 58% (3100/5344) 2025-08-14T21:37:18.9508028Z Resolving deltas: 59% (3153/5344) 2025-08-14T21:37:18.9516916Z Resolving deltas: 60% (3207/5344) 2025-08-14T21:37:18.9521458Z Resolving deltas: 61% (3260/5344) 2025-08-14T21:37:18.9533696Z Resolving deltas: 62% (3314/5344) 2025-08-14T21:37:18.9542171Z Resolving deltas: 63% (3367/5344) 2025-08-14T21:37:18.9546084Z Resolving deltas: 64% (3423/5344) 2025-08-14T21:37:18.9546400Z Resolving deltas: 65% (3474/5344) 2025-08-14T21:37:18.9548520Z Resolving deltas: 66% (3528/5344) 2025-08-14T21:37:18.9549814Z Resolving deltas: 67% (3581/5344) 2025-08-14T21:37:18.9551148Z Resolving deltas: 68% (3634/5344) 2025-08-14T21:37:18.9552537Z Resolving deltas: 69% (3690/5344) 2025-08-14T21:37:18.9554231Z Resolving deltas: 70% (3743/5344) 2025-08-14T21:37:18.9563693Z Resolving deltas: 71% (3795/5344) 2025-08-14T21:37:18.9563915Z Resolving deltas: 72% (3848/5344) 2025-08-14T21:37:18.9564036Z Resolving deltas: 73% (3902/5344) 2025-08-14T21:37:18.9564150Z Resolving deltas: 74% (3956/5344) 2025-08-14T21:37:18.9567174Z Resolving deltas: 75% (4008/5344) 2025-08-14T21:37:18.9589494Z Resolving deltas: 76% (4062/5344) 2025-08-14T21:37:18.9591669Z Resolving deltas: 77% (4115/5344) 2025-08-14T21:37:18.9599050Z Resolving deltas: 78% (4169/5344) 2025-08-14T21:37:18.9599188Z Resolving deltas: 79% (4222/5344) 2025-08-14T21:37:18.9605112Z Resolving deltas: 80% (4277/5344) 2025-08-14T21:37:18.9605772Z Resolving deltas: 81% (4329/5344) 2025-08-14T21:37:18.9607746Z Resolving deltas: 82% (4385/5344) 2025-08-14T21:37:18.9609669Z Resolving deltas: 83% (4436/5344) 2025-08-14T21:37:18.9611457Z Resolving deltas: 84% (4490/5344) 2025-08-14T21:37:18.9612997Z Resolving deltas: 85% (4543/5344) 2025-08-14T21:37:18.9614658Z Resolving deltas: 86% (4596/5344) 2025-08-14T21:37:18.9616032Z Resolving deltas: 87% (4650/5344) 2025-08-14T21:37:18.9619045Z Resolving deltas: 88% (4703/5344) 2025-08-14T21:37:18.9620342Z Resolving deltas: 89% (4757/5344) 2025-08-14T21:37:18.9620631Z Resolving deltas: 90% (4810/5344) 2025-08-14T21:37:18.9622164Z Resolving deltas: 91% (4865/5344) 2025-08-14T21:37:18.9623567Z Resolving deltas: 92% (4917/5344) 2025-08-14T21:37:18.9624985Z Resolving deltas: 93% (4970/5344) 2025-08-14T21:37:18.9626910Z Resolving deltas: 94% (5026/5344) 2025-08-14T21:37:18.9629063Z Resolving deltas: 95% (5077/5344) 2025-08-14T21:37:18.9630700Z Resolving deltas: 96% (5135/5344) 2025-08-14T21:37:18.9632690Z Resolving deltas: 97% (5185/5344) 2025-08-14T21:37:18.9640527Z Resolving deltas: 98% (5238/5344) 2025-08-14T21:37:18.9653558Z Resolving deltas: 99% (5291/5344) 2025-08-14T21:37:18.9654214Z Resolving deltas: 100% (5344/5344) 2025-08-14T21:37:18.9655128Z Resolving deltas: 100% (5344/5344), done. 2025-08-14T21:37:18.9780647Z Cloning into '/var/lib/jenkins/pytorch/fbgemm/external/cutlass'... 2025-08-14T21:37:19.2570286Z remote: Enumerating objects: 34007, done. 2025-08-14T21:37:19.3532720Z Receiving objects: 0% (1/34007) 2025-08-14T21:37:19.3774072Z Receiving objects: 1% (341/34007) 2025-08-14T21:37:19.4264120Z Receiving objects: 2% (681/34007) 2025-08-14T21:37:19.4364125Z Receiving objects: 3% (1021/34007) 2025-08-14T21:37:19.4526728Z Receiving objects: 4% (1361/34007) 2025-08-14T21:37:19.4570652Z Receiving objects: 5% (1701/34007) 2025-08-14T21:37:19.4573183Z Receiving objects: 6% (2041/34007) 2025-08-14T21:37:19.4627529Z Receiving objects: 7% (2381/34007) 2025-08-14T21:37:19.4754368Z Receiving objects: 8% (2721/34007) 2025-08-14T21:37:19.4808826Z Receiving objects: 9% (3061/34007) 2025-08-14T21:37:19.4846840Z Receiving objects: 10% (3401/34007) 2025-08-14T21:37:19.4879146Z Receiving objects: 11% (3741/34007) 2025-08-14T21:37:19.4909067Z Receiving objects: 12% (4081/34007) 2025-08-14T21:37:19.5034219Z Receiving objects: 13% (4421/34007) 2025-08-14T21:37:19.5123875Z Receiving objects: 14% (4761/34007) 2025-08-14T21:37:19.5364525Z Receiving objects: 15% (5102/34007) 2025-08-14T21:37:19.5460929Z Receiving objects: 16% (5442/34007) 2025-08-14T21:37:19.5573639Z Receiving objects: 17% (5782/34007) 2025-08-14T21:37:19.7332484Z Receiving objects: 18% (6122/34007) 2025-08-14T21:37:19.7372991Z Receiving objects: 19% (6462/34007) 2025-08-14T21:37:19.7414406Z Receiving objects: 20% (6802/34007) 2025-08-14T21:37:19.7446362Z Receiving objects: 21% (7142/34007) 2025-08-14T21:37:19.7516940Z Receiving objects: 22% (7482/34007) 2025-08-14T21:37:19.7622610Z Receiving objects: 23% (7822/34007) 2025-08-14T21:37:19.7816944Z Receiving objects: 24% (8162/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.7889164Z Receiving objects: 25% (8502/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.7926829Z Receiving objects: 26% (8842/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.7968394Z Receiving objects: 27% (9182/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.8011199Z Receiving objects: 28% (9522/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.8055661Z Receiving objects: 29% (9863/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.8087671Z Receiving objects: 30% (10203/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.8109087Z Receiving objects: 31% (10543/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.8127210Z Receiving objects: 32% (10883/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.8157528Z Receiving objects: 33% (11223/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.8203871Z Receiving objects: 34% (11563/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.8251609Z Receiving objects: 35% (11903/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.8288825Z Receiving objects: 36% (12243/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.8374927Z Receiving objects: 37% (12583/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.8419953Z Receiving objects: 38% (12923/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.8473097Z Receiving objects: 39% (13263/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.8519768Z Receiving objects: 40% (13603/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.8585913Z Receiving objects: 41% (13943/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.8635471Z Receiving objects: 42% (14283/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.8691911Z Receiving objects: 43% (14624/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.8720662Z Receiving objects: 44% (14964/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.8745575Z Receiving objects: 45% (15304/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.8789307Z Receiving objects: 46% (15644/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.8818848Z Receiving objects: 47% (15984/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.8947634Z Receiving objects: 48% (16324/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.8983565Z Receiving objects: 49% (16664/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.9013644Z Receiving objects: 50% (17004/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.9037413Z Receiving objects: 51% (17344/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.9051897Z Receiving objects: 52% (17684/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.9072854Z Receiving objects: 53% (18024/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.9095090Z Receiving objects: 54% (18364/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.9112719Z Receiving objects: 55% (18704/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.9126145Z Receiving objects: 56% (19044/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.9151624Z Receiving objects: 57% (19384/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.9171117Z Receiving objects: 58% (19725/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.9194577Z Receiving objects: 59% (20065/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.9218897Z Receiving objects: 60% (20405/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.9246931Z Receiving objects: 61% (20745/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.9279366Z Receiving objects: 62% (21085/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.9309227Z Receiving objects: 63% (21425/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.9349391Z Receiving objects: 64% (21765/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.9394159Z Receiving objects: 65% (22105/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.9415920Z Receiving objects: 66% (22445/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.9442403Z Receiving objects: 67% (22785/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.9463252Z Receiving objects: 68% (23125/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.9488223Z Receiving objects: 69% (23465/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.9508959Z Receiving objects: 70% (23805/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.9523304Z Receiving objects: 71% (24145/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.9548398Z Receiving objects: 72% (24486/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.9567333Z Receiving objects: 73% (24826/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.9581342Z Receiving objects: 74% (25166/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.9598004Z Receiving objects: 75% (25506/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.9615456Z Receiving objects: 76% (25846/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.9632969Z Receiving objects: 77% (26186/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.9654250Z Receiving objects: 78% (26526/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.9669604Z Receiving objects: 79% (26866/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.9711587Z Receiving objects: 80% (27206/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.9730996Z Receiving objects: 81% (27546/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.9736689Z Receiving objects: 82% (27886/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.9750187Z Receiving objects: 83% (28226/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.9764481Z Receiving objects: 84% (28566/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.9815665Z Receiving objects: 85% (28906/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.9912497Z Receiving objects: 86% (29247/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.9960472Z Receiving objects: 87% (29587/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:19.9993579Z Receiving objects: 88% (29927/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:20.0029625Z Receiving objects: 89% (30267/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:20.0056615Z Receiving objects: 90% (30607/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:20.0084911Z Receiving objects: 91% (30947/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:20.0182379Z Receiving objects: 92% (31287/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:20.0222544Z Receiving objects: 93% (31627/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:20.0238743Z Receiving objects: 94% (31967/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:20.0261767Z Receiving objects: 95% (32307/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:20.0288753Z Receiving objects: 96% (32647/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:20.0336824Z Receiving objects: 97% (32987/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:20.0446111Z Receiving objects: 98% (33327/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:20.0560244Z Receiving objects: 99% (33667/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:20.0560763Z remote: Total 34007 (delta 0), reused 0 (delta 0), pack-reused 34007 (from 1) 2025-08-14T21:37:20.0571910Z Receiving objects: 100% (34007/34007), 30.02 MiB | 60.02 MiB/s 2025-08-14T21:37:20.0577116Z Receiving objects: 100% (34007/34007), 51.30 MiB | 64.14 MiB/s, done. 2025-08-14T21:37:20.0614808Z Resolving deltas: 0% (0/25825) 2025-08-14T21:37:20.0646067Z Resolving deltas: 1% (259/25825) 2025-08-14T21:37:20.0674886Z Resolving deltas: 2% (517/25825) 2025-08-14T21:37:20.0693252Z Resolving deltas: 3% (775/25825) 2025-08-14T21:37:20.0721455Z Resolving deltas: 4% (1033/25825) 2025-08-14T21:37:20.0729790Z Resolving deltas: 5% (1292/25825) 2025-08-14T21:37:20.0739184Z Resolving deltas: 6% (1550/25825) 2025-08-14T21:37:20.0748095Z Resolving deltas: 7% (1811/25825) 2025-08-14T21:37:20.0759542Z Resolving deltas: 8% (2066/25825) 2025-08-14T21:37:20.0776161Z Resolving deltas: 9% (2325/25825) 2025-08-14T21:37:20.0788121Z Resolving deltas: 10% (2585/25825) 2025-08-14T21:37:20.0796053Z Resolving deltas: 11% (2841/25825) 2025-08-14T21:37:20.0814571Z Resolving deltas: 12% (3099/25825) 2025-08-14T21:37:20.0829049Z Resolving deltas: 13% (3360/25825) 2025-08-14T21:37:20.0837645Z Resolving deltas: 14% (3617/25825) 2025-08-14T21:37:20.0851521Z Resolving deltas: 15% (3874/25825) 2025-08-14T21:37:20.0860942Z Resolving deltas: 16% (4133/25825) 2025-08-14T21:37:20.0874628Z Resolving deltas: 17% (4391/25825) 2025-08-14T21:37:20.0885213Z Resolving deltas: 18% (4649/25825) 2025-08-14T21:37:20.0896667Z Resolving deltas: 19% (4907/25825) 2025-08-14T21:37:20.0908016Z Resolving deltas: 20% (5165/25825) 2025-08-14T21:37:20.0918450Z Resolving deltas: 21% (5425/25825) 2025-08-14T21:37:20.0928017Z Resolving deltas: 22% (5682/25825) 2025-08-14T21:37:20.0957783Z Resolving deltas: 23% (5940/25825) 2025-08-14T21:37:20.0982809Z Resolving deltas: 24% (6199/25825) 2025-08-14T21:37:20.1019267Z Resolving deltas: 25% (6457/25825) 2025-08-14T21:37:20.1023359Z Resolving deltas: 26% (6715/25825) 2025-08-14T21:37:20.1031663Z Resolving deltas: 27% (6973/25825) 2025-08-14T21:37:20.1044580Z Resolving deltas: 28% (7231/25825) 2025-08-14T21:37:20.1055685Z Resolving deltas: 29% (7491/25825) 2025-08-14T21:37:20.1065855Z Resolving deltas: 30% (7748/25825) 2025-08-14T21:37:20.1080690Z Resolving deltas: 31% (8006/25825) 2025-08-14T21:37:20.1112049Z Resolving deltas: 32% (8264/25825) 2025-08-14T21:37:20.1117130Z Resolving deltas: 33% (8523/25825) 2025-08-14T21:37:20.1130056Z Resolving deltas: 34% (8781/25825) 2025-08-14T21:37:20.1143187Z Resolving deltas: 35% (9039/25825) 2025-08-14T21:37:20.1156745Z Resolving deltas: 36% (9297/25825) 2025-08-14T21:37:20.1165676Z Resolving deltas: 37% (9556/25825) 2025-08-14T21:37:20.1177479Z Resolving deltas: 38% (9814/25825) 2025-08-14T21:37:20.1191501Z Resolving deltas: 39% (10072/25825) 2025-08-14T21:37:20.1206074Z Resolving deltas: 40% (10330/25825) 2025-08-14T21:37:20.1234923Z Resolving deltas: 41% (10589/25825) 2025-08-14T21:37:20.1260544Z Resolving deltas: 42% (10847/25825) 2025-08-14T21:37:20.1277110Z Resolving deltas: 43% (11105/25825) 2025-08-14T21:37:20.1289146Z Resolving deltas: 44% (11363/25825) 2025-08-14T21:37:20.1306411Z Resolving deltas: 45% (11622/25825) 2025-08-14T21:37:20.1327393Z Resolving deltas: 46% (11889/25825) 2025-08-14T21:37:20.1341806Z Resolving deltas: 47% (12138/25825) 2025-08-14T21:37:20.1361569Z Resolving deltas: 48% (12396/25825) 2025-08-14T21:37:20.1407794Z Resolving deltas: 49% (12655/25825) 2025-08-14T21:37:20.1430449Z Resolving deltas: 50% (12915/25825) 2025-08-14T21:37:20.1473587Z Resolving deltas: 51% (13172/25825) 2025-08-14T21:37:20.1531690Z Resolving deltas: 52% (13430/25825) 2025-08-14T21:37:20.1532038Z Resolving deltas: 53% (13688/25825) 2025-08-14T21:37:20.1540698Z Resolving deltas: 54% (13946/25825) 2025-08-14T21:37:20.1553915Z Resolving deltas: 55% (14204/25825) 2025-08-14T21:37:20.1576446Z Resolving deltas: 56% (14462/25825) 2025-08-14T21:37:20.1599502Z Resolving deltas: 57% (14721/25825) 2025-08-14T21:37:20.1618754Z Resolving deltas: 58% (14979/25825) 2025-08-14T21:37:20.1657257Z Resolving deltas: 59% (15237/25825) 2025-08-14T21:37:20.1675865Z Resolving deltas: 60% (15495/25825) 2025-08-14T21:37:20.1686169Z Resolving deltas: 61% (15754/25825) 2025-08-14T21:37:20.1698946Z Resolving deltas: 62% (16012/25825) 2025-08-14T21:37:20.1713829Z Resolving deltas: 63% (16270/25825) 2025-08-14T21:37:20.1735402Z Resolving deltas: 64% (16530/25825) 2025-08-14T21:37:20.1773627Z Resolving deltas: 65% (16787/25825) 2025-08-14T21:37:20.1795263Z Resolving deltas: 66% (17045/25825) 2025-08-14T21:37:20.1821199Z Resolving deltas: 67% (17303/25825) 2025-08-14T21:37:20.1836909Z Resolving deltas: 68% (17561/25825) 2025-08-14T21:37:20.1855882Z Resolving deltas: 69% (17820/25825) 2025-08-14T21:37:20.1875576Z Resolving deltas: 70% (18078/25825) 2025-08-14T21:37:20.1916318Z Resolving deltas: 71% (18336/25825) 2025-08-14T21:37:20.1933838Z Resolving deltas: 72% (18594/25825) 2025-08-14T21:37:20.1960617Z Resolving deltas: 73% (18853/25825) 2025-08-14T21:37:20.1980311Z Resolving deltas: 74% (19111/25825) 2025-08-14T21:37:20.2058519Z Resolving deltas: 75% (19369/25825) 2025-08-14T21:37:20.2120063Z Resolving deltas: 76% (19627/25825) 2025-08-14T21:37:20.2153951Z Resolving deltas: 77% (19886/25825) 2025-08-14T21:37:20.2267716Z Resolving deltas: 78% (20144/25825) 2025-08-14T21:37:20.2310021Z Resolving deltas: 79% (20402/25825) 2025-08-14T21:37:20.2326219Z Resolving deltas: 80% (20660/25825) 2025-08-14T21:37:20.2361745Z Resolving deltas: 81% (20919/25825) 2025-08-14T21:37:20.2386087Z Resolving deltas: 82% (21177/25825) 2025-08-14T21:37:20.2411797Z Resolving deltas: 83% (21435/25825) 2025-08-14T21:37:20.2481081Z Resolving deltas: 84% (21693/25825) 2025-08-14T21:37:20.2501722Z Resolving deltas: 85% (21952/25825) 2025-08-14T21:37:20.2533607Z Resolving deltas: 86% (22210/25825) 2025-08-14T21:37:20.2546520Z Resolving deltas: 87% (22468/25825) 2025-08-14T21:37:20.2562624Z Resolving deltas: 88% (22726/25825) 2025-08-14T21:37:20.2578315Z Resolving deltas: 89% (22985/25825) 2025-08-14T21:37:20.2631050Z Resolving deltas: 90% (23243/25825) 2025-08-14T21:37:20.2671444Z Resolving deltas: 91% (23501/25825) 2025-08-14T21:37:20.2687407Z Resolving deltas: 92% (23759/25825) 2025-08-14T21:37:20.2704395Z Resolving deltas: 93% (24021/25825) 2025-08-14T21:37:20.2712347Z Resolving deltas: 94% (24276/25825) 2025-08-14T21:37:20.2729368Z Resolving deltas: 95% (24534/25825) 2025-08-14T21:37:20.2742312Z Resolving deltas: 96% (24792/25825) 2025-08-14T21:37:20.2759513Z Resolving deltas: 97% (25051/25825) 2025-08-14T21:37:20.2776057Z Resolving deltas: 98% (25309/25825) 2025-08-14T21:37:20.2792729Z Resolving deltas: 99% (25567/25825) 2025-08-14T21:37:20.2794457Z Resolving deltas: 100% (25825/25825) 2025-08-14T21:37:20.2794687Z Resolving deltas: 100% (25825/25825), done. 2025-08-14T21:37:20.3194489Z Cloning into '/var/lib/jenkins/pytorch/fbgemm/external/googletest'... 2025-08-14T21:37:20.5332624Z remote: Enumerating objects: 28228, done. 2025-08-14T21:37:20.5333053Z remote: Counting objects: 1% (1/67) 2025-08-14T21:37:20.5333221Z remote: Counting objects: 2% (2/67) 2025-08-14T21:37:20.5333561Z remote: Counting objects: 4% (3/67) 2025-08-14T21:37:20.5333730Z remote: Counting objects: 5% (4/67) 2025-08-14T21:37:20.5333912Z remote: Counting objects: 7% (5/67) 2025-08-14T21:37:20.5337483Z remote: Counting objects: 8% (6/67) 2025-08-14T21:37:20.5337677Z remote: Counting objects: 10% (7/67) 2025-08-14T21:37:20.5337838Z remote: Counting objects: 11% (8/67) 2025-08-14T21:37:20.5338101Z remote: Counting objects: 13% (9/67) 2025-08-14T21:37:20.5338240Z remote: Counting objects: 14% (10/67) 2025-08-14T21:37:20.5338376Z remote: Counting objects: 16% (11/67) 2025-08-14T21:37:20.5338511Z remote: Counting objects: 17% (12/67) 2025-08-14T21:37:20.5338645Z remote: Counting objects: 19% (13/67) 2025-08-14T21:37:20.5338777Z remote: Counting objects: 20% (14/67) 2025-08-14T21:37:20.5338916Z remote: Counting objects: 22% (15/67) 2025-08-14T21:37:20.5341029Z remote: Counting objects: 23% (16/67) 2025-08-14T21:37:20.5341186Z remote: Counting objects: 25% (17/67) 2025-08-14T21:37:20.5341528Z remote: Counting objects: 26% (18/67) 2025-08-14T21:37:20.5341658Z remote: Counting objects: 28% (19/67) 2025-08-14T21:37:20.5341798Z remote: Counting objects: 29% (20/67) 2025-08-14T21:37:20.5341927Z remote: Counting objects: 31% (21/67) 2025-08-14T21:37:20.5342051Z remote: Counting objects: 32% (22/67) 2025-08-14T21:37:20.5342180Z remote: Counting objects: 34% (23/67) 2025-08-14T21:37:20.5342304Z remote: Counting objects: 35% (24/67) 2025-08-14T21:37:20.5342428Z remote: Counting objects: 37% (25/67) 2025-08-14T21:37:20.5342551Z remote: Counting objects: 38% (26/67) 2025-08-14T21:37:20.5342677Z remote: Counting objects: 40% (27/67) 2025-08-14T21:37:20.5342808Z remote: Counting objects: 41% (28/67) 2025-08-14T21:37:20.5344087Z remote: Counting objects: 43% (29/67) 2025-08-14T21:37:20.5344212Z remote: Counting objects: 44% (30/67) 2025-08-14T21:37:20.5344342Z remote: Counting objects: 46% (31/67) 2025-08-14T21:37:20.5344465Z remote: Counting objects: 47% (32/67) 2025-08-14T21:37:20.5344588Z remote: Counting objects: 49% (33/67) 2025-08-14T21:37:20.5344713Z remote: Counting objects: 50% (34/67) 2025-08-14T21:37:20.5344840Z remote: Counting objects: 52% (35/67) 2025-08-14T21:37:20.5344963Z remote: Counting objects: 53% (36/67) 2025-08-14T21:37:20.5345086Z remote: Counting objects: 55% (37/67) 2025-08-14T21:37:20.5345210Z remote: Counting objects: 56% (38/67) 2025-08-14T21:37:20.5345334Z remote: Counting objects: 58% (39/67) 2025-08-14T21:37:20.5346454Z remote: Counting objects: 59% (40/67) 2025-08-14T21:37:20.5346579Z remote: Counting objects: 61% (41/67) 2025-08-14T21:37:20.5346704Z remote: Counting objects: 62% (42/67) 2025-08-14T21:37:20.5346826Z remote: Counting objects: 64% (43/67) 2025-08-14T21:37:20.5346949Z remote: Counting objects: 65% (44/67) 2025-08-14T21:37:20.5347074Z remote: Counting objects: 67% (45/67) 2025-08-14T21:37:20.5347197Z remote: Counting objects: 68% (46/67) 2025-08-14T21:37:20.5347485Z remote: Counting objects: 70% (47/67) 2025-08-14T21:37:20.5347610Z remote: Counting objects: 71% (48/67) 2025-08-14T21:37:20.5347734Z remote: Counting objects: 73% (49/67) 2025-08-14T21:37:20.5347858Z remote: Counting objects: 74% (50/67) 2025-08-14T21:37:20.5349076Z remote: Counting objects: 76% (51/67) 2025-08-14T21:37:20.5349202Z remote: Counting objects: 77% (52/67) 2025-08-14T21:37:20.5349326Z remote: Counting objects: 79% (53/67) 2025-08-14T21:37:20.5349452Z remote: Counting objects: 80% (54/67) 2025-08-14T21:37:20.5349581Z remote: Counting objects: 82% (55/67) 2025-08-14T21:37:20.5349706Z remote: Counting objects: 83% (56/67) 2025-08-14T21:37:20.5349829Z remote: Counting objects: 85% (57/67) 2025-08-14T21:37:20.5349954Z remote: Counting objects: 86% (58/67) 2025-08-14T21:37:20.5350081Z remote: Counting objects: 88% (59/67) 2025-08-14T21:37:20.5350205Z remote: Counting objects: 89% (60/67) 2025-08-14T21:37:20.5350331Z remote: Counting objects: 91% (61/67) 2025-08-14T21:37:20.5351523Z remote: Counting objects: 92% (62/67) 2025-08-14T21:37:20.5351681Z remote: Counting objects: 94% (63/67) 2025-08-14T21:37:20.5351805Z remote: Counting objects: 95% (64/67) 2025-08-14T21:37:20.5351929Z remote: Counting objects: 97% (65/67) 2025-08-14T21:37:20.5352059Z remote: Counting objects: 98% (66/67) 2025-08-14T21:37:20.5352186Z remote: Counting objects: 100% (67/67) 2025-08-14T21:37:20.5352322Z remote: Counting objects: 100% (67/67), done. 2025-08-14T21:37:20.5352470Z remote: Compressing objects: 2% (1/41) 2025-08-14T21:37:20.5352623Z remote: Compressing objects: 4% (2/41) 2025-08-14T21:37:20.5438104Z remote: Compressing objects: 7% (3/41) 2025-08-14T21:37:20.5440144Z remote: Compressing objects: 9% (4/41) 2025-08-14T21:37:20.5481324Z remote: Compressing objects: 12% (5/41) 2025-08-14T21:37:20.5489606Z remote: Compressing objects: 14% (6/41) 2025-08-14T21:37:20.5533900Z remote: Compressing objects: 17% (7/41) 2025-08-14T21:37:20.5564054Z remote: Compressing objects: 19% (8/41) 2025-08-14T21:37:20.5599764Z remote: Compressing objects: 21% (9/41) 2025-08-14T21:37:20.5606697Z remote: Compressing objects: 24% (10/41) 2025-08-14T21:37:20.5609862Z remote: Compressing objects: 26% (11/41) 2025-08-14T21:37:20.5611109Z remote: Compressing objects: 29% (12/41) 2025-08-14T21:37:20.5612585Z remote: Compressing objects: 31% (13/41) 2025-08-14T21:37:20.5619946Z remote: Compressing objects: 34% (14/41) 2025-08-14T21:37:20.5620257Z remote: Compressing objects: 36% (15/41) 2025-08-14T21:37:20.5620422Z remote: Compressing objects: 39% (16/41) 2025-08-14T21:37:20.5620658Z remote: Compressing objects: 41% (17/41) 2025-08-14T21:37:20.5620811Z remote: Compressing objects: 43% (18/41) 2025-08-14T21:37:20.5621005Z remote: Compressing objects: 46% (19/41) 2025-08-14T21:37:20.5621159Z remote: Compressing objects: 48% (20/41) 2025-08-14T21:37:20.5621315Z remote: Compressing objects: 51% (21/41) 2025-08-14T21:37:20.5621459Z remote: Compressing objects: 53% (22/41) 2025-08-14T21:37:20.5621616Z remote: Compressing objects: 56% (23/41) 2025-08-14T21:37:20.5621755Z remote: Compressing objects: 58% (24/41) 2025-08-14T21:37:20.5623772Z remote: Compressing objects: 60% (25/41) 2025-08-14T21:37:20.5623922Z remote: Compressing objects: 63% (26/41) 2025-08-14T21:37:20.5624060Z remote: Compressing objects: 65% (27/41) 2025-08-14T21:37:20.5624192Z remote: Compressing objects: 68% (28/41) 2025-08-14T21:37:20.5624325Z remote: Compressing objects: 70% (29/41) 2025-08-14T21:37:20.5624480Z remote: Compressing objects: 73% (30/41) 2025-08-14T21:37:20.5624620Z remote: Compressing objects: 75% (31/41) 2025-08-14T21:37:20.5625088Z remote: Compressing objects: 78% (32/41) 2025-08-14T21:37:20.5625224Z remote: Compressing objects: 80% (33/41) 2025-08-14T21:37:20.5625359Z remote: Compressing objects: 82% (34/41) 2025-08-14T21:37:20.5625503Z remote: Compressing objects: 85% (35/41) 2025-08-14T21:37:20.5626937Z remote: Compressing objects: 87% (36/41) 2025-08-14T21:37:20.5627071Z remote: Compressing objects: 90% (37/41) 2025-08-14T21:37:20.5627203Z remote: Compressing objects: 92% (38/41) 2025-08-14T21:37:20.5627337Z remote: Compressing objects: 95% (39/41) 2025-08-14T21:37:20.5627470Z remote: Compressing objects: 97% (40/41) 2025-08-14T21:37:20.5627603Z remote: Compressing objects: 100% (41/41) 2025-08-14T21:37:20.5627753Z remote: Compressing objects: 100% (41/41), done. 2025-08-14T21:37:20.6029983Z Receiving objects: 0% (1/28228) 2025-08-14T21:37:20.6246245Z Receiving objects: 1% (283/28228) 2025-08-14T21:37:20.6399363Z Receiving objects: 2% (565/28228) 2025-08-14T21:37:20.6420939Z Receiving objects: 3% (847/28228) 2025-08-14T21:37:20.6441791Z Receiving objects: 4% (1130/28228) 2025-08-14T21:37:20.6477808Z Receiving objects: 5% (1412/28228) 2025-08-14T21:37:20.6604261Z Receiving objects: 6% (1694/28228) 2025-08-14T21:37:20.6621909Z Receiving objects: 7% (1976/28228) 2025-08-14T21:37:20.6639818Z Receiving objects: 8% (2259/28228) 2025-08-14T21:37:20.6670055Z Receiving objects: 9% (2541/28228) 2025-08-14T21:37:20.6670516Z Receiving objects: 10% (2823/28228) 2025-08-14T21:37:20.6793478Z Receiving objects: 11% (3106/28228) 2025-08-14T21:37:20.6829635Z Receiving objects: 12% (3388/28228) 2025-08-14T21:37:20.6829842Z Receiving objects: 13% (3670/28228) 2025-08-14T21:37:20.6848303Z Receiving objects: 14% (3952/28228) 2025-08-14T21:37:20.6865740Z Receiving objects: 15% (4235/28228) 2025-08-14T21:37:20.7105103Z Receiving objects: 16% (4517/28228) 2025-08-14T21:37:20.7193539Z Receiving objects: 17% (4799/28228) 2025-08-14T21:37:20.7276159Z Receiving objects: 18% (5082/28228) 2025-08-14T21:37:20.7358764Z Receiving objects: 19% (5364/28228) 2025-08-14T21:37:20.7444356Z Receiving objects: 20% (5646/28228) 2025-08-14T21:37:20.7460208Z Receiving objects: 21% (5928/28228) 2025-08-14T21:37:20.7495820Z Receiving objects: 22% (6211/28228) 2025-08-14T21:37:20.7530007Z Receiving objects: 23% (6493/28228) 2025-08-14T21:37:20.7558935Z Receiving objects: 24% (6775/28228) 2025-08-14T21:37:20.7607790Z Receiving objects: 25% (7057/28228) 2025-08-14T21:37:20.7667600Z Receiving objects: 26% (7340/28228) 2025-08-14T21:37:20.7710218Z Receiving objects: 27% (7622/28228) 2025-08-14T21:37:20.7789759Z Receiving objects: 28% (7904/28228) 2025-08-14T21:37:20.7820570Z Receiving objects: 29% (8187/28228) 2025-08-14T21:37:20.7838787Z Receiving objects: 30% (8469/28228) 2025-08-14T21:37:20.7865799Z Receiving objects: 31% (8751/28228) 2025-08-14T21:37:20.7916630Z Receiving objects: 32% (9033/28228) 2025-08-14T21:37:20.7978219Z Receiving objects: 33% (9316/28228) 2025-08-14T21:37:20.8010818Z Receiving objects: 34% (9598/28228) 2025-08-14T21:37:20.8021709Z Receiving objects: 35% (9880/28228) 2025-08-14T21:37:20.8053370Z Receiving objects: 36% (10163/28228) 2025-08-14T21:37:20.8069396Z Receiving objects: 37% (10445/28228) 2025-08-14T21:37:20.8102865Z Receiving objects: 38% (10727/28228) 2025-08-14T21:37:20.8141812Z Receiving objects: 39% (11009/28228) 2025-08-14T21:37:20.8163695Z Receiving objects: 40% (11292/28228) 2025-08-14T21:37:20.8180757Z Receiving objects: 41% (11574/28228) 2025-08-14T21:37:20.8191632Z Receiving objects: 42% (11856/28228) 2025-08-14T21:37:20.8212987Z Receiving objects: 43% (12139/28228) 2025-08-14T21:37:20.8219166Z Receiving objects: 44% (12421/28228) 2025-08-14T21:37:20.8226720Z Receiving objects: 45% (12703/28228) 2025-08-14T21:37:20.8236392Z Receiving objects: 46% (12985/28228) 2025-08-14T21:37:20.8258802Z Receiving objects: 47% (13268/28228) 2025-08-14T21:37:20.8286403Z Receiving objects: 48% (13550/28228) 2025-08-14T21:37:20.8303119Z Receiving objects: 49% (13832/28228) 2025-08-14T21:37:20.8426538Z Receiving objects: 50% (14114/28228) 2025-08-14T21:37:20.8452947Z Receiving objects: 51% (14397/28228) 2025-08-14T21:37:20.8468209Z Receiving objects: 52% (14679/28228) 2025-08-14T21:37:20.8491861Z Receiving objects: 53% (14961/28228) 2025-08-14T21:37:20.8499628Z Receiving objects: 54% (15244/28228) 2025-08-14T21:37:20.8521046Z Receiving objects: 55% (15526/28228) 2025-08-14T21:37:20.8521647Z Receiving objects: 56% (15808/28228) 2025-08-14T21:37:20.8522351Z Receiving objects: 57% (16090/28228) 2025-08-14T21:37:20.8571182Z Receiving objects: 58% (16373/28228) 2025-08-14T21:37:20.8571407Z Receiving objects: 59% (16655/28228) 2025-08-14T21:37:20.8571752Z Receiving objects: 60% (16937/28228) 2025-08-14T21:37:20.8571977Z Receiving objects: 61% (17220/28228) 2025-08-14T21:37:20.8572150Z Receiving objects: 62% (17502/28228) 2025-08-14T21:37:20.8572420Z Receiving objects: 63% (17784/28228) 2025-08-14T21:37:20.8575875Z Receiving objects: 64% (18066/28228) 2025-08-14T21:37:20.8581973Z Receiving objects: 65% (18349/28228) 2025-08-14T21:37:20.8582411Z Receiving objects: 66% (18631/28228) 2025-08-14T21:37:20.8585019Z Receiving objects: 67% (18913/28228) 2025-08-14T21:37:20.8592126Z Receiving objects: 68% (19196/28228) 2025-08-14T21:37:20.8599816Z Receiving objects: 69% (19478/28228) 2025-08-14T21:37:20.8600780Z Receiving objects: 70% (19760/28228) 2025-08-14T21:37:20.8610849Z Receiving objects: 71% (20042/28228) 2025-08-14T21:37:20.8620373Z Receiving objects: 72% (20325/28228) 2025-08-14T21:37:20.8620885Z Receiving objects: 73% (20607/28228) 2025-08-14T21:37:20.8621111Z Receiving objects: 74% (20889/28228) 2025-08-14T21:37:20.8633244Z Receiving objects: 75% (21171/28228) 2025-08-14T21:37:20.8638740Z Receiving objects: 76% (21454/28228) 2025-08-14T21:37:20.8646318Z Receiving objects: 77% (21736/28228) 2025-08-14T21:37:20.8646577Z Receiving objects: 78% (22018/28228) 2025-08-14T21:37:20.8649554Z Receiving objects: 79% (22301/28228) 2025-08-14T21:37:20.8652666Z Receiving objects: 80% (22583/28228) 2025-08-14T21:37:20.8660316Z Receiving objects: 81% (22865/28228) 2025-08-14T21:37:20.8669164Z Receiving objects: 82% (23147/28228) 2025-08-14T21:37:20.8700339Z Receiving objects: 83% (23430/28228) 2025-08-14T21:37:20.8700950Z Receiving objects: 84% (23712/28228) 2025-08-14T21:37:20.8701532Z Receiving objects: 85% (23994/28228) 2025-08-14T21:37:20.8707795Z Receiving objects: 86% (24277/28228) 2025-08-14T21:37:20.8708083Z Receiving objects: 87% (24559/28228) 2025-08-14T21:37:20.8708246Z Receiving objects: 88% (24841/28228) 2025-08-14T21:37:20.8708405Z Receiving objects: 89% (25123/28228) 2025-08-14T21:37:20.8710263Z Receiving objects: 90% (25406/28228) 2025-08-14T21:37:20.8716360Z Receiving objects: 91% (25688/28228) 2025-08-14T21:37:20.8720397Z Receiving objects: 92% (25970/28228) 2025-08-14T21:37:20.8721828Z Receiving objects: 93% (26253/28228) 2025-08-14T21:37:20.8724262Z Receiving objects: 94% (26535/28228) 2025-08-14T21:37:20.8728264Z Receiving objects: 95% (26817/28228) 2025-08-14T21:37:20.8734081Z Receiving objects: 96% (27099/28228) 2025-08-14T21:37:20.8734417Z Receiving objects: 97% (27382/28228) 2025-08-14T21:37:20.8742207Z Receiving objects: 98% (27664/28228) 2025-08-14T21:37:20.8808898Z Receiving objects: 99% (27946/28228) 2025-08-14T21:37:20.8822974Z remote: Total 28228 (delta 37), reused 27 (delta 25), pack-reused 28161 (from 3) 2025-08-14T21:37:20.8823227Z Receiving objects: 100% (28228/28228) 2025-08-14T21:37:20.8823471Z Receiving objects: 100% (28228/28228), 13.32 MiB | 42.35 MiB/s, done. 2025-08-14T21:37:20.8889099Z Resolving deltas: 0% (0/20968) 2025-08-14T21:37:20.8907860Z Resolving deltas: 1% (210/20968) 2025-08-14T21:37:20.8921793Z Resolving deltas: 2% (420/20968) 2025-08-14T21:37:20.8944606Z Resolving deltas: 3% (630/20968) 2025-08-14T21:37:20.8951574Z Resolving deltas: 4% (839/20968) 2025-08-14T21:37:20.8969549Z Resolving deltas: 5% (1049/20968) 2025-08-14T21:37:20.8999671Z Resolving deltas: 6% (1259/20968) 2025-08-14T21:37:20.9025466Z Resolving deltas: 7% (1468/20968) 2025-08-14T21:37:20.9071870Z Resolving deltas: 8% (1678/20968) 2025-08-14T21:37:20.9084379Z Resolving deltas: 9% (1888/20968) 2025-08-14T21:37:20.9117036Z Resolving deltas: 10% (2097/20968) 2025-08-14T21:37:20.9119118Z Resolving deltas: 11% (2308/20968) 2025-08-14T21:37:20.9127658Z Resolving deltas: 12% (2517/20968) 2025-08-14T21:37:20.9139382Z Resolving deltas: 13% (2726/20968) 2025-08-14T21:37:20.9146992Z Resolving deltas: 14% (2936/20968) 2025-08-14T21:37:20.9194367Z Resolving deltas: 15% (3147/20968) 2025-08-14T21:37:20.9219074Z Resolving deltas: 16% (3355/20968) 2025-08-14T21:37:20.9240368Z Resolving deltas: 17% (3565/20968) 2025-08-14T21:37:20.9241103Z Resolving deltas: 18% (3775/20968) 2025-08-14T21:37:20.9247848Z Resolving deltas: 19% (3984/20968) 2025-08-14T21:37:20.9260445Z Resolving deltas: 20% (4195/20968) 2025-08-14T21:37:20.9281019Z Resolving deltas: 21% (4405/20968) 2025-08-14T21:37:20.9282743Z Resolving deltas: 22% (4613/20968) 2025-08-14T21:37:20.9322073Z Resolving deltas: 23% (4823/20968) 2025-08-14T21:37:20.9328005Z Resolving deltas: 24% (5033/20968) 2025-08-14T21:37:20.9332657Z Resolving deltas: 25% (5242/20968) 2025-08-14T21:37:20.9353613Z Resolving deltas: 26% (5452/20968) 2025-08-14T21:37:20.9378485Z Resolving deltas: 27% (5662/20968) 2025-08-14T21:37:20.9393294Z Resolving deltas: 28% (5872/20968) 2025-08-14T21:37:20.9410819Z Resolving deltas: 29% (6081/20968) 2025-08-14T21:37:20.9412585Z Resolving deltas: 30% (6291/20968) 2025-08-14T21:37:20.9421629Z Resolving deltas: 31% (6501/20968) 2025-08-14T21:37:20.9447500Z Resolving deltas: 32% (6710/20968) 2025-08-14T21:37:20.9452330Z Resolving deltas: 33% (6920/20968) 2025-08-14T21:37:20.9465402Z Resolving deltas: 34% (7130/20968) 2025-08-14T21:37:20.9474689Z Resolving deltas: 35% (7339/20968) 2025-08-14T21:37:20.9490018Z Resolving deltas: 36% (7549/20968) 2025-08-14T21:37:20.9496373Z Resolving deltas: 37% (7762/20968) 2025-08-14T21:37:20.9505418Z Resolving deltas: 38% (7968/20968) 2025-08-14T21:37:20.9512140Z Resolving deltas: 39% (8179/20968) 2025-08-14T21:37:20.9558616Z Resolving deltas: 40% (8388/20968) 2025-08-14T21:37:20.9564326Z Resolving deltas: 41% (8597/20968) 2025-08-14T21:37:20.9578486Z Resolving deltas: 42% (8807/20968) 2025-08-14T21:37:20.9590525Z Resolving deltas: 43% (9017/20968) 2025-08-14T21:37:20.9619765Z Resolving deltas: 44% (9226/20968) 2025-08-14T21:37:20.9654206Z Resolving deltas: 45% (9436/20968) 2025-08-14T21:37:20.9682268Z Resolving deltas: 46% (9646/20968) 2025-08-14T21:37:20.9682652Z Resolving deltas: 47% (9855/20968) 2025-08-14T21:37:20.9693159Z Resolving deltas: 48% (10065/20968) 2025-08-14T21:37:20.9709780Z Resolving deltas: 49% (10275/20968) 2025-08-14T21:37:20.9717560Z Resolving deltas: 50% (10484/20968) 2025-08-14T21:37:20.9726330Z Resolving deltas: 51% (10694/20968) 2025-08-14T21:37:20.9731787Z Resolving deltas: 52% (10904/20968) 2025-08-14T21:37:20.9769693Z Resolving deltas: 53% (11114/20968) 2025-08-14T21:37:20.9778272Z Resolving deltas: 54% (11323/20968) 2025-08-14T21:37:20.9778703Z Resolving deltas: 55% (11533/20968) 2025-08-14T21:37:20.9785009Z Resolving deltas: 56% (11743/20968) 2025-08-14T21:37:20.9796164Z Resolving deltas: 57% (11952/20968) 2025-08-14T21:37:20.9815538Z Resolving deltas: 58% (12162/20968) 2025-08-14T21:37:20.9837687Z Resolving deltas: 59% (12372/20968) 2025-08-14T21:37:20.9844521Z Resolving deltas: 60% (12581/20968) 2025-08-14T21:37:20.9877835Z Resolving deltas: 61% (12791/20968) 2025-08-14T21:37:20.9887669Z Resolving deltas: 62% (13001/20968) 2025-08-14T21:37:20.9896144Z Resolving deltas: 63% (13210/20968) 2025-08-14T21:37:20.9909336Z Resolving deltas: 64% (13420/20968) 2025-08-14T21:37:20.9920165Z Resolving deltas: 65% (13631/20968) 2025-08-14T21:37:20.9929087Z Resolving deltas: 66% (13839/20968) 2025-08-14T21:37:20.9943714Z Resolving deltas: 67% (14049/20968) 2025-08-14T21:37:20.9948956Z Resolving deltas: 68% (14259/20968) 2025-08-14T21:37:20.9979211Z Resolving deltas: 69% (14468/20968) 2025-08-14T21:37:20.9979410Z Resolving deltas: 70% (14678/20968) 2025-08-14T21:37:20.9992009Z Resolving deltas: 71% (14888/20968) 2025-08-14T21:37:21.0003125Z Resolving deltas: 72% (15097/20968) 2025-08-14T21:37:21.0017169Z Resolving deltas: 73% (15307/20968) 2025-08-14T21:37:21.0033428Z Resolving deltas: 74% (15517/20968) 2025-08-14T21:37:21.0049196Z Resolving deltas: 75% (15726/20968) 2025-08-14T21:37:21.0055212Z Resolving deltas: 76% (15936/20968) 2025-08-14T21:37:21.0069711Z Resolving deltas: 77% (16146/20968) 2025-08-14T21:37:21.0082470Z Resolving deltas: 78% (16356/20968) 2025-08-14T21:37:21.0146115Z Resolving deltas: 79% (16565/20968) 2025-08-14T21:37:21.0156691Z Resolving deltas: 80% (16775/20968) 2025-08-14T21:37:21.0156998Z Resolving deltas: 81% (16985/20968) 2025-08-14T21:37:21.0157215Z Resolving deltas: 82% (17194/20968) 2025-08-14T21:37:21.0161875Z Resolving deltas: 83% (17404/20968) 2025-08-14T21:37:21.0181286Z Resolving deltas: 84% (17614/20968) 2025-08-14T21:37:21.0195740Z Resolving deltas: 85% (17823/20968) 2025-08-14T21:37:21.0207627Z Resolving deltas: 86% (18033/20968) 2025-08-14T21:37:21.0221180Z Resolving deltas: 87% (18243/20968) 2025-08-14T21:37:21.0234900Z Resolving deltas: 88% (18452/20968) 2025-08-14T21:37:21.0251154Z Resolving deltas: 89% (18662/20968) 2025-08-14T21:37:21.0289369Z Resolving deltas: 90% (18872/20968) 2025-08-14T21:37:21.0318845Z Resolving deltas: 91% (19081/20968) 2025-08-14T21:37:21.0335997Z Resolving deltas: 92% (19291/20968) 2025-08-14T21:37:21.0336247Z Resolving deltas: 93% (19501/20968) 2025-08-14T21:37:21.0352128Z Resolving deltas: 94% (19710/20968) 2025-08-14T21:37:21.0376258Z Resolving deltas: 95% (19920/20968) 2025-08-14T21:37:21.0376786Z Resolving deltas: 96% (20131/20968) 2025-08-14T21:37:21.0438653Z Resolving deltas: 97% (20339/20968) 2025-08-14T21:37:21.0438845Z Resolving deltas: 98% (20549/20968) 2025-08-14T21:37:21.0443330Z Resolving deltas: 99% (20759/20968) 2025-08-14T21:37:21.0487460Z Resolving deltas: 100% (20968/20968) 2025-08-14T21:37:21.0487644Z Resolving deltas: 100% (20968/20968), done. 2025-08-14T21:37:21.0803559Z Cloning into '/var/lib/jenkins/pytorch/fbgemm/external/hipify_torch'... 2025-08-14T21:37:21.3091769Z remote: Enumerating objects: 534, done. 2025-08-14T21:37:21.3105801Z remote: Counting objects: 0% (1/235) 2025-08-14T21:37:21.3106042Z remote: Counting objects: 1% (3/235) 2025-08-14T21:37:21.3106207Z remote: Counting objects: 2% (5/235) 2025-08-14T21:37:21.3111547Z remote: Counting objects: 3% (8/235) 2025-08-14T21:37:21.3111822Z remote: Counting objects: 4% (10/235) 2025-08-14T21:37:21.3112074Z remote: Counting objects: 5% (12/235) 2025-08-14T21:37:21.3112314Z remote: Counting objects: 6% (15/235) 2025-08-14T21:37:21.3112520Z remote: Counting objects: 7% (17/235) 2025-08-14T21:37:21.3112718Z remote: Counting objects: 8% (19/235) 2025-08-14T21:37:21.3112941Z remote: Counting objects: 9% (22/235) 2025-08-14T21:37:21.3113137Z remote: Counting objects: 10% (24/235) 2025-08-14T21:37:21.3113334Z remote: Counting objects: 11% (26/235) 2025-08-14T21:37:21.3113530Z remote: Counting objects: 12% (29/235) 2025-08-14T21:37:21.3113732Z remote: Counting objects: 13% (31/235) 2025-08-14T21:37:21.3113923Z remote: Counting objects: 14% (33/235) 2025-08-14T21:37:21.3114120Z remote: Counting objects: 15% (36/235) 2025-08-14T21:37:21.3114311Z remote: Counting objects: 16% (38/235) 2025-08-14T21:37:21.3114510Z remote: Counting objects: 17% (40/235) 2025-08-14T21:37:21.3114702Z remote: Counting objects: 18% (43/235) 2025-08-14T21:37:21.3114896Z remote: Counting objects: 19% (45/235) 2025-08-14T21:37:21.3115099Z remote: Counting objects: 20% (47/235) 2025-08-14T21:37:21.3115291Z remote: Counting objects: 21% (50/235) 2025-08-14T21:37:21.3115742Z remote: Counting objects: 22% (52/235) 2025-08-14T21:37:21.3115938Z remote: Counting objects: 23% (55/235) 2025-08-14T21:37:21.3118347Z remote: Counting objects: 24% (57/235) 2025-08-14T21:37:21.3118564Z remote: Counting objects: 25% (59/235) 2025-08-14T21:37:21.3118766Z remote: Counting objects: 26% (62/235) 2025-08-14T21:37:21.3118965Z remote: Counting objects: 27% (64/235) 2025-08-14T21:37:21.3119155Z remote: Counting objects: 28% (66/235) 2025-08-14T21:37:21.3119346Z remote: Counting objects: 29% (69/235) 2025-08-14T21:37:21.3119534Z remote: Counting objects: 30% (71/235) 2025-08-14T21:37:21.3119722Z remote: Counting objects: 31% (73/235) 2025-08-14T21:37:21.3119909Z remote: Counting objects: 32% (76/235) 2025-08-14T21:37:21.3120110Z remote: Counting objects: 33% (78/235) 2025-08-14T21:37:21.3120298Z remote: Counting objects: 34% (80/235) 2025-08-14T21:37:21.3121946Z remote: Counting objects: 35% (83/235) 2025-08-14T21:37:21.3122151Z remote: Counting objects: 36% (85/235) 2025-08-14T21:37:21.3122348Z remote: Counting objects: 37% (87/235) 2025-08-14T21:37:21.3122535Z remote: Counting objects: 38% (90/235) 2025-08-14T21:37:21.3122748Z remote: Counting objects: 39% (92/235) 2025-08-14T21:37:21.3122935Z remote: Counting objects: 40% (94/235) 2025-08-14T21:37:21.3123124Z remote: Counting objects: 41% (97/235) 2025-08-14T21:37:21.3123311Z remote: Counting objects: 42% (99/235) 2025-08-14T21:37:21.3123500Z remote: Counting objects: 43% (102/235) 2025-08-14T21:37:21.3123694Z remote: Counting objects: 44% (104/235) 2025-08-14T21:37:21.3123885Z remote: Counting objects: 45% (106/235) 2025-08-14T21:37:21.3125613Z remote: Counting objects: 46% (109/235) 2025-08-14T21:37:21.3125801Z remote: Counting objects: 47% (111/235) 2025-08-14T21:37:21.3125990Z remote: Counting objects: 48% (113/235) 2025-08-14T21:37:21.3126182Z remote: Counting objects: 49% (116/235) 2025-08-14T21:37:21.3126368Z remote: Counting objects: 50% (118/235) 2025-08-14T21:37:21.3126555Z remote: Counting objects: 51% (120/235) 2025-08-14T21:37:21.3126741Z remote: Counting objects: 52% (123/235) 2025-08-14T21:37:21.3126930Z remote: Counting objects: 53% (125/235) 2025-08-14T21:37:21.3127115Z remote: Counting objects: 54% (127/235) 2025-08-14T21:37:21.3127302Z remote: Counting objects: 55% (130/235) 2025-08-14T21:37:21.3127489Z remote: Counting objects: 56% (132/235) 2025-08-14T21:37:21.3129183Z remote: Counting objects: 57% (134/235) 2025-08-14T21:37:21.3129372Z remote: Counting objects: 58% (137/235) 2025-08-14T21:37:21.3129567Z remote: Counting objects: 59% (139/235) 2025-08-14T21:37:21.3129754Z remote: Counting objects: 60% (141/235) 2025-08-14T21:37:21.3129943Z remote: Counting objects: 61% (144/235) 2025-08-14T21:37:21.3130131Z remote: Counting objects: 62% (146/235) 2025-08-14T21:37:21.3130317Z remote: Counting objects: 63% (149/235) 2025-08-14T21:37:21.3130503Z remote: Counting objects: 64% (151/235) 2025-08-14T21:37:21.3130691Z remote: Counting objects: 65% (153/235) 2025-08-14T21:37:21.3130878Z remote: Counting objects: 66% (156/235) 2025-08-14T21:37:21.3131064Z remote: Counting objects: 67% (158/235) 2025-08-14T21:37:21.3132548Z remote: Counting objects: 68% (160/235) 2025-08-14T21:37:21.3132682Z remote: Counting objects: 69% (163/235) 2025-08-14T21:37:21.3132810Z remote: Counting objects: 70% (165/235) 2025-08-14T21:37:21.3132938Z remote: Counting objects: 71% (167/235) 2025-08-14T21:37:21.3133074Z remote: Counting objects: 72% (170/235) 2025-08-14T21:37:21.3133206Z remote: Counting objects: 73% (172/235) 2025-08-14T21:37:21.3133334Z remote: Counting objects: 74% (174/235) 2025-08-14T21:37:21.3133528Z remote: Counting objects: 75% (177/235) 2025-08-14T21:37:21.3133656Z remote: Counting objects: 76% (179/235) 2025-08-14T21:37:21.3133786Z remote: Counting objects: 77% (181/235) 2025-08-14T21:37:21.3133913Z remote: Counting objects: 78% (184/235) 2025-08-14T21:37:21.3135187Z remote: Counting objects: 79% (186/235) 2025-08-14T21:37:21.3135317Z remote: Counting objects: 80% (188/235) 2025-08-14T21:37:21.3135449Z remote: Counting objects: 81% (191/235) 2025-08-14T21:37:21.3135575Z remote: Counting objects: 82% (193/235) 2025-08-14T21:37:21.3135700Z remote: Counting objects: 83% (196/235) 2025-08-14T21:37:21.3135826Z remote: Counting objects: 84% (198/235) 2025-08-14T21:37:21.3135955Z remote: Counting objects: 85% (200/235) 2025-08-14T21:37:21.3136084Z remote: Counting objects: 86% (203/235) 2025-08-14T21:37:21.3136211Z remote: Counting objects: 87% (205/235) 2025-08-14T21:37:21.3136340Z remote: Counting objects: 88% (207/235) 2025-08-14T21:37:21.3136469Z remote: Counting objects: 89% (210/235) 2025-08-14T21:37:21.3137632Z remote: Counting objects: 90% (212/235) 2025-08-14T21:37:21.3137761Z remote: Counting objects: 91% (214/235) 2025-08-14T21:37:21.3138364Z remote: Counting objects: 92% (217/235) 2025-08-14T21:37:21.3138494Z remote: Counting objects: 93% (219/235) 2025-08-14T21:37:21.3138625Z remote: Counting objects: 94% (221/235) 2025-08-14T21:37:21.3138754Z remote: Counting objects: 95% (224/235) 2025-08-14T21:37:21.3138882Z remote: Counting objects: 96% (226/235) 2025-08-14T21:37:21.3139012Z remote: Counting objects: 97% (228/235) 2025-08-14T21:37:21.3139140Z remote: Counting objects: 98% (231/235) 2025-08-14T21:37:21.3139338Z remote: Counting objects: 99% (233/235) 2025-08-14T21:37:21.3139466Z remote: Counting objects: 100% (235/235) 2025-08-14T21:37:21.3139612Z remote: Counting objects: 100% (235/235), done. 2025-08-14T21:37:21.3140866Z remote: Compressing objects: 0% (1/115) 2025-08-14T21:37:21.3141076Z remote: Compressing objects: 1% (2/115) 2025-08-14T21:37:21.3141276Z remote: Compressing objects: 2% (3/115) 2025-08-14T21:37:21.3282514Z remote: Compressing objects: 3% (4/115) 2025-08-14T21:37:21.3282760Z remote: Compressing objects: 4% (5/115) 2025-08-14T21:37:21.3282959Z remote: Compressing objects: 5% (6/115) 2025-08-14T21:37:21.3283168Z remote: Compressing objects: 6% (7/115) 2025-08-14T21:37:21.3283362Z remote: Compressing objects: 7% (9/115) 2025-08-14T21:37:21.3283558Z remote: Compressing objects: 8% (10/115) 2025-08-14T21:37:21.3283757Z remote: Compressing objects: 9% (11/115) 2025-08-14T21:37:21.3314668Z remote: Compressing objects: 10% (12/115) 2025-08-14T21:37:21.3335200Z remote: Compressing objects: 11% (13/115) 2025-08-14T21:37:21.3371158Z remote: Compressing objects: 12% (14/115) 2025-08-14T21:37:21.3409215Z remote: Compressing objects: 13% (15/115) 2025-08-14T21:37:21.3411284Z remote: Compressing objects: 14% (17/115) 2025-08-14T21:37:21.3412734Z remote: Compressing objects: 15% (18/115) 2025-08-14T21:37:21.3414581Z remote: Compressing objects: 16% (19/115) 2025-08-14T21:37:21.3416323Z remote: Compressing objects: 17% (20/115) 2025-08-14T21:37:21.3421131Z remote: Compressing objects: 18% (21/115) 2025-08-14T21:37:21.3421312Z remote: Compressing objects: 19% (22/115) 2025-08-14T21:37:21.3425011Z remote: Compressing objects: 20% (23/115) 2025-08-14T21:37:21.3425378Z remote: Compressing objects: 21% (25/115) 2025-08-14T21:37:21.3425661Z remote: Compressing objects: 22% (26/115) 2025-08-14T21:37:21.3425955Z remote: Compressing objects: 23% (27/115) 2025-08-14T21:37:21.3426119Z remote: Compressing objects: 24% (28/115) 2025-08-14T21:37:21.3426684Z remote: Compressing objects: 25% (29/115) 2025-08-14T21:37:21.3426921Z remote: Compressing objects: 26% (30/115) 2025-08-14T21:37:21.3427089Z remote: Compressing objects: 27% (32/115) 2025-08-14T21:37:21.3427322Z remote: Compressing objects: 28% (33/115) 2025-08-14T21:37:21.3427497Z remote: Compressing objects: 29% (34/115) 2025-08-14T21:37:21.3427732Z remote: Compressing objects: 30% (35/115) 2025-08-14T21:37:21.3429930Z remote: Compressing objects: 31% (36/115) 2025-08-14T21:37:21.3430201Z remote: Compressing objects: 32% (37/115) 2025-08-14T21:37:21.3430397Z remote: Compressing objects: 33% (38/115) 2025-08-14T21:37:21.3430647Z remote: Compressing objects: 34% (40/115) 2025-08-14T21:37:21.3430831Z remote: Compressing objects: 35% (41/115) 2025-08-14T21:37:21.3431081Z remote: Compressing objects: 36% (42/115) 2025-08-14T21:37:21.3431264Z remote: Compressing objects: 37% (43/115) 2025-08-14T21:37:21.3431512Z remote: Compressing objects: 38% (44/115) 2025-08-14T21:37:21.3431682Z remote: Compressing objects: 39% (45/115) 2025-08-14T21:37:21.3431906Z remote: Compressing objects: 40% (46/115) 2025-08-14T21:37:21.3433562Z remote: Compressing objects: 41% (48/115) 2025-08-14T21:37:21.3434297Z remote: Compressing objects: 42% (49/115) 2025-08-14T21:37:21.3435640Z remote: Compressing objects: 43% (50/115) 2025-08-14T21:37:21.3435812Z remote: Compressing objects: 44% (51/115) 2025-08-14T21:37:21.3435948Z remote: Compressing objects: 45% (52/115) 2025-08-14T21:37:21.3436083Z remote: Compressing objects: 46% (53/115) 2025-08-14T21:37:21.3436223Z remote: Compressing objects: 47% (55/115) 2025-08-14T21:37:21.3436526Z remote: Compressing objects: 48% (56/115) 2025-08-14T21:37:21.3436662Z remote: Compressing objects: 49% (57/115) 2025-08-14T21:37:21.3436796Z remote: Compressing objects: 50% (58/115) 2025-08-14T21:37:21.3436935Z remote: Compressing objects: 51% (59/115) 2025-08-14T21:37:21.3438858Z remote: Compressing objects: 52% (60/115) 2025-08-14T21:37:21.3439003Z remote: Compressing objects: 53% (61/115) 2025-08-14T21:37:21.3439137Z remote: Compressing objects: 54% (63/115) 2025-08-14T21:37:21.3439276Z remote: Compressing objects: 55% (64/115) 2025-08-14T21:37:21.3439407Z remote: Compressing objects: 56% (65/115) 2025-08-14T21:37:21.3439539Z remote: Compressing objects: 57% (66/115) 2025-08-14T21:37:21.3439671Z remote: Compressing objects: 58% (67/115) 2025-08-14T21:37:21.3439806Z remote: Compressing objects: 59% (68/115) 2025-08-14T21:37:21.3439938Z remote: Compressing objects: 60% (69/115) 2025-08-14T21:37:21.3440076Z remote: Compressing objects: 61% (71/115) 2025-08-14T21:37:21.3440208Z remote: Compressing objects: 62% (72/115) 2025-08-14T21:37:21.3440355Z remote: Compressing objects: 63% (73/115) 2025-08-14T21:37:21.3440494Z remote: Compressing objects: 64% (74/115) 2025-08-14T21:37:21.3440638Z remote: Compressing objects: 65% (75/115) 2025-08-14T21:37:21.3440777Z remote: Compressing objects: 66% (76/115) 2025-08-14T21:37:21.3442046Z remote: Compressing objects: 67% (78/115) 2025-08-14T21:37:21.3442181Z remote: Compressing objects: 68% (79/115) 2025-08-14T21:37:21.3442313Z remote: Compressing objects: 69% (80/115) 2025-08-14T21:37:21.3442444Z remote: Compressing objects: 70% (81/115) 2025-08-14T21:37:21.3442579Z remote: Compressing objects: 71% (82/115) 2025-08-14T21:37:21.3442711Z remote: Compressing objects: 72% (83/115) 2025-08-14T21:37:21.3442842Z remote: Compressing objects: 73% (84/115) 2025-08-14T21:37:21.3568263Z remote: Compressing objects: 74% (86/115) 2025-08-14T21:37:21.3568712Z remote: Compressing objects: 75% (87/115) 2025-08-14T21:37:21.3569217Z remote: Compressing objects: 76% (88/115) 2025-08-14T21:37:21.3572308Z remote: Compressing objects: 77% (89/115) 2025-08-14T21:37:21.3572523Z remote: Compressing objects: 78% (90/115) 2025-08-14T21:37:21.3572722Z remote: Compressing objects: 79% (91/115) 2025-08-14T21:37:21.3572917Z remote: Compressing objects: 80% (92/115) 2025-08-14T21:37:21.3573112Z remote: Compressing objects: 81% (94/115) 2025-08-14T21:37:21.3573306Z remote: Compressing objects: 82% (95/115) 2025-08-14T21:37:21.3573503Z remote: Compressing objects: 83% (96/115) 2025-08-14T21:37:21.3573703Z remote: Compressing objects: 84% (97/115) 2025-08-14T21:37:21.3573895Z remote: Compressing objects: 85% (98/115) 2025-08-14T21:37:21.3574096Z remote: Compressing objects: 86% (99/115) 2025-08-14T21:37:21.3574299Z remote: Compressing objects: 87% (101/115) 2025-08-14T21:37:21.3576205Z remote: Compressing objects: 88% (102/115) 2025-08-14T21:37:21.3576416Z remote: Compressing objects: 89% (103/115) 2025-08-14T21:37:21.3576615Z remote: Compressing objects: 90% (104/115) 2025-08-14T21:37:21.3576814Z remote: Compressing objects: 91% (105/115) 2025-08-14T21:37:21.3577010Z remote: Compressing objects: 92% (106/115) 2025-08-14T21:37:21.3577207Z remote: Compressing objects: 93% (107/115) 2025-08-14T21:37:21.3577403Z remote: Compressing objects: 94% (109/115) 2025-08-14T21:37:21.3577601Z remote: Compressing objects: 95% (110/115) 2025-08-14T21:37:21.3577795Z remote: Compressing objects: 96% (111/115) 2025-08-14T21:37:21.3578306Z remote: Compressing objects: 97% (112/115) 2025-08-14T21:37:21.3578518Z remote: Compressing objects: 98% (113/115) 2025-08-14T21:37:21.3580641Z remote: Compressing objects: 99% (114/115) 2025-08-14T21:37:21.3580879Z remote: Compressing objects: 100% (115/115) 2025-08-14T21:37:21.3581140Z remote: Compressing objects: 100% (115/115), done. 2025-08-14T21:37:21.3610641Z Receiving objects: 0% (1/534) 2025-08-14T21:37:21.3610843Z Receiving objects: 1% (6/534) 2025-08-14T21:37:21.3611389Z Receiving objects: 2% (11/534) 2025-08-14T21:37:21.3659367Z Receiving objects: 3% (17/534) 2025-08-14T21:37:21.3659606Z Receiving objects: 4% (22/534) 2025-08-14T21:37:21.3660024Z Receiving objects: 5% (27/534) 2025-08-14T21:37:21.3660213Z Receiving objects: 6% (33/534) 2025-08-14T21:37:21.3663314Z Receiving objects: 7% (38/534) 2025-08-14T21:37:21.3663504Z Receiving objects: 8% (43/534) 2025-08-14T21:37:21.3673558Z Receiving objects: 9% (49/534) 2025-08-14T21:37:21.3673804Z Receiving objects: 10% (54/534) 2025-08-14T21:37:21.3673985Z Receiving objects: 11% (59/534) 2025-08-14T21:37:21.3674178Z Receiving objects: 12% (65/534) 2025-08-14T21:37:21.3674345Z Receiving objects: 13% (70/534) 2025-08-14T21:37:21.3674503Z Receiving objects: 14% (75/534) 2025-08-14T21:37:21.3674661Z Receiving objects: 15% (81/534) 2025-08-14T21:37:21.3674836Z Receiving objects: 16% (86/534) 2025-08-14T21:37:21.3674998Z Receiving objects: 17% (91/534) 2025-08-14T21:37:21.3679208Z Receiving objects: 18% (97/534) 2025-08-14T21:37:21.3679529Z Receiving objects: 19% (102/534) 2025-08-14T21:37:21.3679747Z Receiving objects: 20% (107/534) 2025-08-14T21:37:21.3680014Z Receiving objects: 21% (113/534) 2025-08-14T21:37:21.3680273Z Receiving objects: 22% (118/534) 2025-08-14T21:37:21.3680541Z Receiving objects: 23% (123/534) 2025-08-14T21:37:21.3680795Z Receiving objects: 24% (129/534) 2025-08-14T21:37:21.3681046Z Receiving objects: 25% (134/534) 2025-08-14T21:37:21.3681319Z Receiving objects: 26% (139/534) 2025-08-14T21:37:21.3681574Z Receiving objects: 27% (145/534) 2025-08-14T21:37:21.3684101Z Receiving objects: 28% (150/534) 2025-08-14T21:37:21.3684393Z Receiving objects: 29% (155/534) 2025-08-14T21:37:21.3684659Z Receiving objects: 30% (161/534) 2025-08-14T21:37:21.3684923Z Receiving objects: 31% (166/534) 2025-08-14T21:37:21.3685516Z Receiving objects: 32% (171/534) 2025-08-14T21:37:21.3685774Z Receiving objects: 33% (177/534) 2025-08-14T21:37:21.3686036Z Receiving objects: 34% (182/534) 2025-08-14T21:37:21.3686296Z Receiving objects: 35% (187/534) 2025-08-14T21:37:21.3686555Z Receiving objects: 36% (193/534) 2025-08-14T21:37:21.3686812Z Receiving objects: 37% (198/534) 2025-08-14T21:37:21.3687067Z Receiving objects: 38% (203/534) 2025-08-14T21:37:21.3845560Z Receiving objects: 39% (209/534) 2025-08-14T21:37:21.3845770Z Receiving objects: 40% (214/534) 2025-08-14T21:37:21.3846869Z Receiving objects: 41% (219/534) 2025-08-14T21:37:21.3847992Z Receiving objects: 42% (225/534) 2025-08-14T21:37:21.3848153Z Receiving objects: 43% (230/534) 2025-08-14T21:37:21.3848309Z Receiving objects: 44% (235/534) 2025-08-14T21:37:21.3848480Z Receiving objects: 45% (241/534) 2025-08-14T21:37:21.3848635Z Receiving objects: 46% (246/534) 2025-08-14T21:37:21.3922117Z Receiving objects: 47% (251/534) 2025-08-14T21:37:21.3922659Z Receiving objects: 48% (257/534) 2025-08-14T21:37:21.3922854Z Receiving objects: 49% (262/534) 2025-08-14T21:37:21.4024252Z Receiving objects: 50% (267/534) 2025-08-14T21:37:21.4039983Z Receiving objects: 51% (273/534) 2025-08-14T21:37:21.4043018Z Receiving objects: 52% (278/534) 2025-08-14T21:37:21.4043168Z Receiving objects: 53% (284/534) 2025-08-14T21:37:21.4043305Z Receiving objects: 54% (289/534) 2025-08-14T21:37:21.4043435Z Receiving objects: 55% (294/534) 2025-08-14T21:37:21.4043550Z Receiving objects: 56% (300/534) 2025-08-14T21:37:21.4043668Z Receiving objects: 57% (305/534) 2025-08-14T21:37:21.4043787Z Receiving objects: 58% (310/534) 2025-08-14T21:37:21.4088670Z Receiving objects: 59% (316/534) 2025-08-14T21:37:21.4088893Z Receiving objects: 60% (321/534) 2025-08-14T21:37:21.4094947Z Receiving objects: 61% (326/534) 2025-08-14T21:37:21.4099450Z Receiving objects: 62% (332/534) 2025-08-14T21:37:21.4099651Z Receiving objects: 63% (337/534) 2025-08-14T21:37:21.4099838Z Receiving objects: 64% (342/534) 2025-08-14T21:37:21.4100030Z Receiving objects: 65% (348/534) 2025-08-14T21:37:21.4100202Z Receiving objects: 66% (353/534) 2025-08-14T21:37:21.4100360Z Receiving objects: 67% (358/534) 2025-08-14T21:37:21.4100523Z Receiving objects: 68% (364/534) 2025-08-14T21:37:21.4100685Z Receiving objects: 69% (369/534) 2025-08-14T21:37:21.4100839Z Receiving objects: 70% (374/534) 2025-08-14T21:37:21.4100993Z Receiving objects: 71% (380/534) 2025-08-14T21:37:21.4101150Z Receiving objects: 72% (385/534) 2025-08-14T21:37:21.4103073Z Receiving objects: 73% (390/534) 2025-08-14T21:37:21.4103229Z Receiving objects: 74% (396/534) 2025-08-14T21:37:21.4156056Z Receiving objects: 75% (401/534) 2025-08-14T21:37:21.4156305Z Receiving objects: 76% (406/534) 2025-08-14T21:37:21.4156483Z Receiving objects: 77% (412/534) 2025-08-14T21:37:21.4156686Z Receiving objects: 78% (417/534) 2025-08-14T21:37:21.4156850Z Receiving objects: 79% (422/534) 2025-08-14T21:37:21.4157008Z Receiving objects: 80% (428/534) 2025-08-14T21:37:21.4157187Z Receiving objects: 81% (433/534) 2025-08-14T21:37:21.4157348Z Receiving objects: 82% (438/534) 2025-08-14T21:37:21.4163056Z Receiving objects: 83% (444/534) 2025-08-14T21:37:21.4163219Z Receiving objects: 84% (449/534) 2025-08-14T21:37:21.4163358Z Receiving objects: 85% (454/534) 2025-08-14T21:37:21.4164993Z Receiving objects: 86% (460/534) 2025-08-14T21:37:21.4289305Z Receiving objects: 87% (465/534) 2025-08-14T21:37:21.4318831Z Receiving objects: 88% (470/534) 2025-08-14T21:37:21.4319560Z Receiving objects: 89% (476/534) 2025-08-14T21:37:21.4319685Z Receiving objects: 90% (481/534) 2025-08-14T21:37:21.4319803Z Receiving objects: 91% (486/534) 2025-08-14T21:37:21.4319919Z Receiving objects: 92% (492/534) 2025-08-14T21:37:21.4320036Z Receiving objects: 93% (497/534) 2025-08-14T21:37:21.4322827Z Receiving objects: 94% (502/534) 2025-08-14T21:37:21.4322960Z Receiving objects: 95% (508/534) 2025-08-14T21:37:21.4329328Z Receiving objects: 96% (513/534) 2025-08-14T21:37:21.4349082Z remote: Total 534 (delta 168), reused 123 (delta 117), pack-reused 299 (from 2) 2025-08-14T21:37:21.4349406Z Receiving objects: 97% (518/534) 2025-08-14T21:37:21.4349574Z Receiving objects: 98% (524/534) 2025-08-14T21:37:21.4349734Z Receiving objects: 99% (529/534) 2025-08-14T21:37:21.4349898Z Receiving objects: 100% (534/534) 2025-08-14T21:37:21.4350106Z Receiving objects: 100% (534/534), 250.50 KiB | 3.38 MiB/s, done. 2025-08-14T21:37:21.4350332Z Resolving deltas: 0% (0/294) 2025-08-14T21:37:21.4353566Z Resolving deltas: 1% (3/294) 2025-08-14T21:37:21.4353768Z Resolving deltas: 2% (6/294) 2025-08-14T21:37:21.4353934Z Resolving deltas: 3% (9/294) 2025-08-14T21:37:21.4354101Z Resolving deltas: 4% (12/294) 2025-08-14T21:37:21.4354263Z Resolving deltas: 5% (15/294) 2025-08-14T21:37:21.4354437Z Resolving deltas: 6% (18/294) 2025-08-14T21:37:21.4354588Z Resolving deltas: 7% (21/294) 2025-08-14T21:37:21.4354739Z Resolving deltas: 8% (24/294) 2025-08-14T21:37:21.4354888Z Resolving deltas: 9% (27/294) 2025-08-14T21:37:21.4355049Z Resolving deltas: 10% (30/294) 2025-08-14T21:37:21.4355199Z Resolving deltas: 11% (33/294) 2025-08-14T21:37:21.4355353Z Resolving deltas: 12% (36/294) 2025-08-14T21:37:21.4355507Z Resolving deltas: 13% (39/294) 2025-08-14T21:37:21.4355664Z Resolving deltas: 14% (42/294) 2025-08-14T21:37:21.4355816Z Resolving deltas: 15% (45/294) 2025-08-14T21:37:21.4355970Z Resolving deltas: 16% (49/294) 2025-08-14T21:37:21.4357815Z Resolving deltas: 17% (50/294) 2025-08-14T21:37:21.4358122Z Resolving deltas: 18% (53/294) 2025-08-14T21:37:21.4358277Z Resolving deltas: 19% (56/294) 2025-08-14T21:37:21.4358433Z Resolving deltas: 20% (59/294) 2025-08-14T21:37:21.4358584Z Resolving deltas: 21% (62/294) 2025-08-14T21:37:21.4358738Z Resolving deltas: 22% (65/294) 2025-08-14T21:37:21.4359085Z Resolving deltas: 23% (68/294) 2025-08-14T21:37:21.4359237Z Resolving deltas: 24% (71/294) 2025-08-14T21:37:21.4359386Z Resolving deltas: 25% (74/294) 2025-08-14T21:37:21.4359541Z Resolving deltas: 26% (77/294) 2025-08-14T21:37:21.4359692Z Resolving deltas: 27% (80/294) 2025-08-14T21:37:21.4361656Z Resolving deltas: 28% (83/294) 2025-08-14T21:37:21.4361812Z Resolving deltas: 29% (86/294) 2025-08-14T21:37:21.4361971Z Resolving deltas: 30% (89/294) 2025-08-14T21:37:21.4362124Z Resolving deltas: 31% (92/294) 2025-08-14T21:37:21.4362275Z Resolving deltas: 32% (95/294) 2025-08-14T21:37:21.4362426Z Resolving deltas: 33% (98/294) 2025-08-14T21:37:21.4362583Z Resolving deltas: 34% (100/294) 2025-08-14T21:37:21.4362743Z Resolving deltas: 35% (103/294) 2025-08-14T21:37:21.4362896Z Resolving deltas: 36% (106/294) 2025-08-14T21:37:21.4363052Z Resolving deltas: 37% (109/294) 2025-08-14T21:37:21.4364674Z Resolving deltas: 38% (112/294) 2025-08-14T21:37:21.4364847Z Resolving deltas: 39% (115/294) 2025-08-14T21:37:21.4365000Z Resolving deltas: 40% (118/294) 2025-08-14T21:37:21.4365153Z Resolving deltas: 41% (122/294) 2025-08-14T21:37:21.4365310Z Resolving deltas: 42% (124/294) 2025-08-14T21:37:21.4365467Z Resolving deltas: 43% (127/294) 2025-08-14T21:37:21.4365629Z Resolving deltas: 44% (130/294) 2025-08-14T21:37:21.4365782Z Resolving deltas: 45% (133/294) 2025-08-14T21:37:21.4365938Z Resolving deltas: 46% (136/294) 2025-08-14T21:37:21.4366091Z Resolving deltas: 47% (139/294) 2025-08-14T21:37:21.4366244Z Resolving deltas: 48% (142/294) 2025-08-14T21:37:21.4367757Z Resolving deltas: 49% (145/294) 2025-08-14T21:37:21.4368026Z Resolving deltas: 50% (147/294) 2025-08-14T21:37:21.4368178Z Resolving deltas: 51% (150/294) 2025-08-14T21:37:21.4368330Z Resolving deltas: 52% (153/294) 2025-08-14T21:37:21.4368482Z Resolving deltas: 53% (156/294) 2025-08-14T21:37:21.4368636Z Resolving deltas: 54% (159/294) 2025-08-14T21:37:21.4368787Z Resolving deltas: 55% (163/294) 2025-08-14T21:37:21.4368944Z Resolving deltas: 56% (165/294) 2025-08-14T21:37:21.4369095Z Resolving deltas: 57% (168/294) 2025-08-14T21:37:21.4369248Z Resolving deltas: 58% (171/294) 2025-08-14T21:37:21.4369503Z Resolving deltas: 59% (174/294) 2025-08-14T21:37:21.4371144Z Resolving deltas: 60% (177/294) 2025-08-14T21:37:21.4371316Z Resolving deltas: 61% (180/294) 2025-08-14T21:37:21.4371469Z Resolving deltas: 62% (183/294) 2025-08-14T21:37:21.4371618Z Resolving deltas: 63% (186/294) 2025-08-14T21:37:21.4371767Z Resolving deltas: 64% (189/294) 2025-08-14T21:37:21.4371917Z Resolving deltas: 65% (192/294) 2025-08-14T21:37:21.4372069Z Resolving deltas: 66% (195/294) 2025-08-14T21:37:21.4372217Z Resolving deltas: 67% (197/294) 2025-08-14T21:37:21.4372366Z Resolving deltas: 68% (200/294) 2025-08-14T21:37:21.4372516Z Resolving deltas: 69% (203/294) 2025-08-14T21:37:21.4372815Z Resolving deltas: 70% (206/294) 2025-08-14T21:37:21.4383821Z Resolving deltas: 71% (209/294) 2025-08-14T21:37:21.4391986Z Resolving deltas: 72% (212/294) 2025-08-14T21:37:21.4401592Z Resolving deltas: 73% (215/294) 2025-08-14T21:37:21.4401749Z Resolving deltas: 74% (218/294) 2025-08-14T21:37:21.4401896Z Resolving deltas: 75% (221/294) 2025-08-14T21:37:21.4402021Z Resolving deltas: 76% (224/294) 2025-08-14T21:37:21.4402133Z Resolving deltas: 77% (227/294) 2025-08-14T21:37:21.4402242Z Resolving deltas: 78% (230/294) 2025-08-14T21:37:21.4410495Z Resolving deltas: 79% (233/294) 2025-08-14T21:37:21.4410826Z Resolving deltas: 80% (236/294) 2025-08-14T21:37:21.4420742Z Resolving deltas: 81% (239/294) 2025-08-14T21:37:21.4421505Z Resolving deltas: 82% (242/294) 2025-08-14T21:37:21.4423341Z Resolving deltas: 83% (245/294) 2025-08-14T21:37:21.4430970Z Resolving deltas: 84% (247/294) 2025-08-14T21:37:21.4437406Z Resolving deltas: 85% (250/294) 2025-08-14T21:37:21.4449162Z Resolving deltas: 86% (253/294) 2025-08-14T21:37:21.4457376Z Resolving deltas: 87% (256/294) 2025-08-14T21:37:21.4489338Z Resolving deltas: 88% (259/294) 2025-08-14T21:37:21.4489911Z Resolving deltas: 89% (262/294) 2025-08-14T21:37:21.4504790Z Resolving deltas: 90% (265/294) 2025-08-14T21:37:21.4533754Z Resolving deltas: 91% (268/294) 2025-08-14T21:37:21.4548903Z Resolving deltas: 92% (271/294) 2025-08-14T21:37:21.4555117Z Resolving deltas: 93% (274/294) 2025-08-14T21:37:21.4588118Z Resolving deltas: 94% (277/294) 2025-08-14T21:37:21.4589550Z Resolving deltas: 95% (280/294) 2025-08-14T21:37:21.4605455Z Resolving deltas: 96% (283/294) 2025-08-14T21:37:21.4622601Z Resolving deltas: 97% (286/294) 2025-08-14T21:37:21.4638234Z Resolving deltas: 98% (289/294) 2025-08-14T21:37:21.4650351Z Resolving deltas: 99% (292/294) 2025-08-14T21:37:21.4655277Z Resolving deltas: 100% (294/294) 2025-08-14T21:37:21.4655663Z Resolving deltas: 100% (294/294), done. 2025-08-14T21:37:21.4804383Z Cloning into '/var/lib/jenkins/pytorch/fbgemm/external/json'... 2025-08-14T21:37:21.7685270Z remote: Enumerating objects: 63020, done. 2025-08-14T21:37:21.7703096Z remote: Counting objects: 1% (1/90) 2025-08-14T21:37:21.7703317Z remote: Counting objects: 2% (2/90) 2025-08-14T21:37:21.7703453Z remote: Counting objects: 3% (3/90) 2025-08-14T21:37:21.7703595Z remote: Counting objects: 4% (4/90) 2025-08-14T21:37:21.7703726Z remote: Counting objects: 5% (5/90) 2025-08-14T21:37:21.7703851Z remote: Counting objects: 6% (6/90) 2025-08-14T21:37:21.7703976Z remote: Counting objects: 7% (7/90) 2025-08-14T21:37:21.7704105Z remote: Counting objects: 8% (8/90) 2025-08-14T21:37:21.7704249Z remote: Counting objects: 10% (9/90) 2025-08-14T21:37:21.7704403Z remote: Counting objects: 11% (10/90) 2025-08-14T21:37:21.7704581Z remote: Counting objects: 12% (11/90) 2025-08-14T21:37:21.7704711Z remote: Counting objects: 13% (12/90) 2025-08-14T21:37:21.7704839Z remote: Counting objects: 14% (13/90) 2025-08-14T21:37:21.7704968Z remote: Counting objects: 15% (14/90) 2025-08-14T21:37:21.7705105Z remote: Counting objects: 16% (15/90) 2025-08-14T21:37:21.7705235Z remote: Counting objects: 17% (16/90) 2025-08-14T21:37:21.7705368Z remote: Counting objects: 18% (17/90) 2025-08-14T21:37:21.7705723Z remote: Counting objects: 20% (18/90) 2025-08-14T21:37:21.7705858Z remote: Counting objects: 21% (19/90) 2025-08-14T21:37:21.7705990Z remote: Counting objects: 22% (20/90) 2025-08-14T21:37:21.7706121Z remote: Counting objects: 23% (21/90) 2025-08-14T21:37:21.7706251Z remote: Counting objects: 24% (22/90) 2025-08-14T21:37:21.7708241Z remote: Counting objects: 25% (23/90) 2025-08-14T21:37:21.7708392Z remote: Counting objects: 26% (24/90) 2025-08-14T21:37:21.7708518Z remote: Counting objects: 27% (25/90) 2025-08-14T21:37:21.7708642Z remote: Counting objects: 28% (26/90) 2025-08-14T21:37:21.7708771Z remote: Counting objects: 30% (27/90) 2025-08-14T21:37:21.7708896Z remote: Counting objects: 31% (28/90) 2025-08-14T21:37:21.7709026Z remote: Counting objects: 32% (29/90) 2025-08-14T21:37:21.7709152Z remote: Counting objects: 33% (30/90) 2025-08-14T21:37:21.7709294Z remote: Counting objects: 34% (31/90) 2025-08-14T21:37:21.7709418Z remote: Counting objects: 35% (32/90) 2025-08-14T21:37:21.7709550Z remote: Counting objects: 36% (33/90) 2025-08-14T21:37:21.7710758Z remote: Counting objects: 37% (34/90) 2025-08-14T21:37:21.7710889Z remote: Counting objects: 38% (35/90) 2025-08-14T21:37:21.7711015Z remote: Counting objects: 40% (36/90) 2025-08-14T21:37:21.7711139Z remote: Counting objects: 41% (37/90) 2025-08-14T21:37:21.7711262Z remote: Counting objects: 42% (38/90) 2025-08-14T21:37:21.7711389Z remote: Counting objects: 43% (39/90) 2025-08-14T21:37:21.7711513Z remote: Counting objects: 44% (40/90) 2025-08-14T21:37:21.7711637Z remote: Counting objects: 45% (41/90) 2025-08-14T21:37:21.7711874Z remote: Counting objects: 46% (42/90) 2025-08-14T21:37:21.7712000Z remote: Counting objects: 47% (43/90) 2025-08-14T21:37:21.7712125Z remote: Counting objects: 48% (44/90) 2025-08-14T21:37:21.7713185Z remote: Counting objects: 50% (45/90) 2025-08-14T21:37:21.7713312Z remote: Counting objects: 51% (46/90) 2025-08-14T21:37:21.7713441Z remote: Counting objects: 52% (47/90) 2025-08-14T21:37:21.7713565Z remote: Counting objects: 53% (48/90) 2025-08-14T21:37:21.7713692Z remote: Counting objects: 54% (49/90) 2025-08-14T21:37:21.7713815Z remote: Counting objects: 55% (50/90) 2025-08-14T21:37:21.7713942Z remote: Counting objects: 56% (51/90) 2025-08-14T21:37:21.7714066Z remote: Counting objects: 57% (52/90) 2025-08-14T21:37:21.7714189Z remote: Counting objects: 58% (53/90) 2025-08-14T21:37:21.7714313Z remote: Counting objects: 60% (54/90) 2025-08-14T21:37:21.7714440Z remote: Counting objects: 61% (55/90) 2025-08-14T21:37:21.7715472Z remote: Counting objects: 62% (56/90) 2025-08-14T21:37:21.7715599Z remote: Counting objects: 63% (57/90) 2025-08-14T21:37:21.7715727Z remote: Counting objects: 64% (58/90) 2025-08-14T21:37:21.7715854Z remote: Counting objects: 65% (59/90) 2025-08-14T21:37:21.7715977Z remote: Counting objects: 66% (60/90) 2025-08-14T21:37:21.7716102Z remote: Counting objects: 67% (61/90) 2025-08-14T21:37:21.7716227Z remote: Counting objects: 68% (62/90) 2025-08-14T21:37:21.7716353Z remote: Counting objects: 70% (63/90) 2025-08-14T21:37:21.7716476Z remote: Counting objects: 71% (64/90) 2025-08-14T21:37:21.7716599Z remote: Counting objects: 72% (65/90) 2025-08-14T21:37:21.7716725Z remote: Counting objects: 73% (66/90) 2025-08-14T21:37:21.7717753Z remote: Counting objects: 74% (67/90) 2025-08-14T21:37:21.7717971Z remote: Counting objects: 75% (68/90) 2025-08-14T21:37:21.7718102Z remote: Counting objects: 76% (69/90) 2025-08-14T21:37:21.7718227Z remote: Counting objects: 77% (70/90) 2025-08-14T21:37:21.7718353Z remote: Counting objects: 78% (71/90) 2025-08-14T21:37:21.7718528Z remote: Counting objects: 80% (72/90) 2025-08-14T21:37:21.7718653Z remote: Counting objects: 81% (73/90) 2025-08-14T21:37:21.7718777Z remote: Counting objects: 82% (74/90) 2025-08-14T21:37:21.7718904Z remote: Counting objects: 83% (75/90) 2025-08-14T21:37:21.7719028Z remote: Counting objects: 84% (76/90) 2025-08-14T21:37:21.7719152Z remote: Counting objects: 85% (77/90) 2025-08-14T21:37:21.7720238Z remote: Counting objects: 86% (78/90) 2025-08-14T21:37:21.7720363Z remote: Counting objects: 87% (79/90) 2025-08-14T21:37:21.7720488Z remote: Counting objects: 88% (80/90) 2025-08-14T21:37:21.7720612Z remote: Counting objects: 90% (81/90) 2025-08-14T21:37:21.7720736Z remote: Counting objects: 91% (82/90) 2025-08-14T21:37:21.7720867Z remote: Counting objects: 92% (83/90) 2025-08-14T21:37:21.7720991Z remote: Counting objects: 93% (84/90) 2025-08-14T21:37:21.7721119Z remote: Counting objects: 94% (85/90) 2025-08-14T21:37:21.7721243Z remote: Counting objects: 95% (86/90) 2025-08-14T21:37:21.7721367Z remote: Counting objects: 96% (87/90) 2025-08-14T21:37:21.7721491Z remote: Counting objects: 97% (88/90) 2025-08-14T21:37:21.7722505Z remote: Counting objects: 98% (89/90) 2025-08-14T21:37:21.7722632Z remote: Counting objects: 100% (90/90) 2025-08-14T21:37:21.7722769Z remote: Counting objects: 100% (90/90), done. 2025-08-14T21:37:21.7722916Z remote: Compressing objects: 1% (1/74) 2025-08-14T21:37:21.7795424Z remote: Compressing objects: 2% (2/74) 2025-08-14T21:37:21.7862800Z remote: Compressing objects: 4% (3/74) 2025-08-14T21:37:21.7888067Z remote: Compressing objects: 5% (4/74) 2025-08-14T21:37:21.7921000Z remote: Compressing objects: 6% (5/74) 2025-08-14T21:37:21.7958759Z remote: Compressing objects: 8% (6/74) 2025-08-14T21:37:21.7959167Z remote: Compressing objects: 9% (7/74) 2025-08-14T21:37:21.7963038Z remote: Compressing objects: 10% (8/74) 2025-08-14T21:37:21.7963429Z remote: Compressing objects: 12% (9/74) 2025-08-14T21:37:21.7964387Z remote: Compressing objects: 13% (10/74) 2025-08-14T21:37:21.7965813Z remote: Compressing objects: 14% (11/74) 2025-08-14T21:37:21.7965982Z remote: Compressing objects: 16% (12/74) 2025-08-14T21:37:21.7966131Z remote: Compressing objects: 17% (13/74) 2025-08-14T21:37:21.7966278Z remote: Compressing objects: 18% (14/74) 2025-08-14T21:37:21.7966423Z remote: Compressing objects: 20% (15/74) 2025-08-14T21:37:21.7966570Z remote: Compressing objects: 21% (16/74) 2025-08-14T21:37:21.7966710Z remote: Compressing objects: 22% (17/74) 2025-08-14T21:37:21.7966875Z remote: Compressing objects: 24% (18/74) 2025-08-14T21:37:21.7970846Z remote: Compressing objects: 25% (19/74) 2025-08-14T21:37:21.7971029Z remote: Compressing objects: 27% (20/74) 2025-08-14T21:37:21.7971171Z remote: Compressing objects: 28% (21/74) 2025-08-14T21:37:21.7971300Z remote: Compressing objects: 29% (22/74) 2025-08-14T21:37:21.7971430Z remote: Compressing objects: 31% (23/74) 2025-08-14T21:37:21.7971563Z remote: Compressing objects: 32% (24/74) 2025-08-14T21:37:21.7971692Z remote: Compressing objects: 33% (25/74) 2025-08-14T21:37:21.8058157Z remote: Compressing objects: 35% (26/74) 2025-08-14T21:37:21.8058541Z remote: Compressing objects: 36% (27/74) 2025-08-14T21:37:21.8058761Z remote: Compressing objects: 37% (28/74) 2025-08-14T21:37:21.8062098Z remote: Compressing objects: 39% (29/74) 2025-08-14T21:37:21.8062345Z remote: Compressing objects: 40% (30/74) 2025-08-14T21:37:21.8062590Z remote: Compressing objects: 41% (31/74) 2025-08-14T21:37:21.8062804Z remote: Compressing objects: 43% (32/74) 2025-08-14T21:37:21.8063267Z remote: Compressing objects: 44% (33/74) 2025-08-14T21:37:21.8063469Z remote: Compressing objects: 45% (34/74) 2025-08-14T21:37:21.8063665Z remote: Compressing objects: 47% (35/74) 2025-08-14T21:37:21.8063869Z remote: Compressing objects: 48% (36/74) 2025-08-14T21:37:21.8064071Z remote: Compressing objects: 50% (37/74) 2025-08-14T21:37:21.8064267Z remote: Compressing objects: 51% (38/74) 2025-08-14T21:37:21.8064461Z remote: Compressing objects: 52% (39/74) 2025-08-14T21:37:21.8064666Z remote: Compressing objects: 54% (40/74) 2025-08-14T21:37:21.8064865Z remote: Compressing objects: 55% (41/74) 2025-08-14T21:37:21.8065066Z remote: Compressing objects: 56% (42/74) 2025-08-14T21:37:21.8065266Z remote: Compressing objects: 58% (43/74) 2025-08-14T21:37:21.8067138Z remote: Compressing objects: 59% (44/74) 2025-08-14T21:37:21.8067343Z remote: Compressing objects: 60% (45/74) 2025-08-14T21:37:21.8067546Z remote: Compressing objects: 62% (46/74) 2025-08-14T21:37:21.8067750Z remote: Compressing objects: 63% (47/74) 2025-08-14T21:37:21.8068033Z remote: Compressing objects: 64% (48/74) 2025-08-14T21:37:21.8068227Z remote: Compressing objects: 66% (49/74) 2025-08-14T21:37:21.8068422Z remote: Compressing objects: 67% (50/74) 2025-08-14T21:37:21.8068616Z remote: Compressing objects: 68% (51/74) 2025-08-14T21:37:21.8068820Z remote: Compressing objects: 70% (52/74) 2025-08-14T21:37:21.8069014Z remote: Compressing objects: 71% (53/74) 2025-08-14T21:37:21.8070568Z remote: Compressing objects: 72% (54/74) 2025-08-14T21:37:21.8070769Z remote: Compressing objects: 74% (55/74) 2025-08-14T21:37:21.8070967Z remote: Compressing objects: 75% (56/74) 2025-08-14T21:37:21.8071297Z remote: Compressing objects: 77% (57/74) 2025-08-14T21:37:21.8071495Z remote: Compressing objects: 78% (58/74) 2025-08-14T21:37:21.8071694Z remote: Compressing objects: 79% (59/74) 2025-08-14T21:37:21.8071891Z remote: Compressing objects: 81% (60/74) 2025-08-14T21:37:21.8072084Z remote: Compressing objects: 82% (61/74) 2025-08-14T21:37:21.8072278Z remote: Compressing objects: 83% (62/74) 2025-08-14T21:37:21.8072472Z remote: Compressing objects: 85% (63/74) 2025-08-14T21:37:21.8072669Z remote: Compressing objects: 86% (64/74) 2025-08-14T21:37:21.8074136Z remote: Compressing objects: 87% (65/74) 2025-08-14T21:37:21.8074335Z remote: Compressing objects: 89% (66/74) 2025-08-14T21:37:21.8074531Z remote: Compressing objects: 90% (67/74) 2025-08-14T21:37:21.8074732Z remote: Compressing objects: 91% (68/74) 2025-08-14T21:37:21.8074925Z remote: Compressing objects: 93% (69/74) 2025-08-14T21:37:21.8075121Z remote: Compressing objects: 94% (70/74) 2025-08-14T21:37:21.8075315Z remote: Compressing objects: 95% (71/74) 2025-08-14T21:37:21.8075515Z remote: Compressing objects: 97% (72/74) 2025-08-14T21:37:21.8075708Z remote: Compressing objects: 98% (73/74) 2025-08-14T21:37:21.8075901Z remote: Compressing objects: 100% (74/74) 2025-08-14T21:37:21.8076115Z remote: Compressing objects: 100% (74/74), done. 2025-08-14T21:37:21.9092651Z Receiving objects: 0% (1/63020) 2025-08-14T21:37:21.9222361Z Receiving objects: 1% (631/63020) 2025-08-14T21:37:21.9469718Z Receiving objects: 2% (1261/63020) 2025-08-14T21:37:21.9519288Z Receiving objects: 3% (1891/63020) 2025-08-14T21:37:21.9617551Z Receiving objects: 4% (2521/63020) 2025-08-14T21:37:21.9709489Z Receiving objects: 5% (3151/63020) 2025-08-14T21:37:21.9721148Z Receiving objects: 6% (3782/63020) 2025-08-14T21:37:22.0003855Z Receiving objects: 7% (4412/63020) 2025-08-14T21:37:22.0334607Z Receiving objects: 8% (5042/63020) 2025-08-14T21:37:22.0754507Z Receiving objects: 9% (5672/63020) 2025-08-14T21:37:22.1184681Z Receiving objects: 10% (6302/63020) 2025-08-14T21:37:22.1764404Z Receiving objects: 11% (6933/63020) 2025-08-14T21:37:22.2099429Z Receiving objects: 12% (7563/63020) 2025-08-14T21:37:22.2530211Z Receiving objects: 13% (8193/63020) 2025-08-14T21:37:22.2709338Z Receiving objects: 14% (8823/63020) 2025-08-14T21:37:22.2749780Z Receiving objects: 15% (9453/63020) 2025-08-14T21:37:22.2843428Z Receiving objects: 16% (10084/63020) 2025-08-14T21:37:22.2961574Z Receiving objects: 17% (10714/63020) 2025-08-14T21:37:22.3265526Z Receiving objects: 18% (11344/63020) 2025-08-14T21:37:22.3339503Z Receiving objects: 19% (11974/63020), 33.66 MiB | 67.30 MiB/s 2025-08-14T21:37:22.3636790Z Receiving objects: 20% (12604/63020), 33.66 MiB | 67.30 MiB/s 2025-08-14T21:37:22.4059689Z Receiving objects: 21% (13235/63020), 33.66 MiB | 67.30 MiB/s 2025-08-14T21:37:22.4233462Z Receiving objects: 22% (13865/63020), 33.66 MiB | 67.30 MiB/s 2025-08-14T21:37:22.4685953Z Receiving objects: 23% (14495/63020), 33.66 MiB | 67.30 MiB/s 2025-08-14T21:37:22.5159643Z Receiving objects: 24% (15125/63020), 33.66 MiB | 67.30 MiB/s 2025-08-14T21:37:22.5241946Z Receiving objects: 25% (15755/63020), 33.66 MiB | 67.30 MiB/s 2025-08-14T21:37:22.5317219Z Receiving objects: 26% (16386/63020), 33.66 MiB | 67.30 MiB/s 2025-08-14T21:37:22.5443848Z Receiving objects: 27% (17016/63020), 33.66 MiB | 67.30 MiB/s 2025-08-14T21:37:22.5529198Z Receiving objects: 28% (17646/63020), 33.66 MiB | 67.30 MiB/s 2025-08-14T21:37:22.5618944Z Receiving objects: 29% (18276/63020), 33.66 MiB | 67.30 MiB/s 2025-08-14T21:37:22.5701488Z Receiving objects: 30% (18906/63020), 33.66 MiB | 67.30 MiB/s 2025-08-14T21:37:22.5801236Z Receiving objects: 31% (19537/63020), 33.66 MiB | 67.30 MiB/s 2025-08-14T21:37:22.5913714Z Receiving objects: 32% (20167/63020), 33.66 MiB | 67.30 MiB/s 2025-08-14T21:37:22.5961998Z Receiving objects: 33% (20797/63020), 33.66 MiB | 67.30 MiB/s 2025-08-14T21:37:22.6060480Z Receiving objects: 34% (21427/63020), 33.66 MiB | 67.30 MiB/s 2025-08-14T21:37:22.6132791Z Receiving objects: 35% (22057/63020), 33.66 MiB | 67.30 MiB/s 2025-08-14T21:37:22.6202491Z Receiving objects: 36% (22688/63020), 33.66 MiB | 67.30 MiB/s 2025-08-14T21:37:22.6312210Z Receiving objects: 37% (23318/63020), 33.66 MiB | 67.30 MiB/s 2025-08-14T21:37:22.6395497Z Receiving objects: 38% (23948/63020), 33.66 MiB | 67.30 MiB/s 2025-08-14T21:37:22.6465911Z Receiving objects: 39% (24578/63020), 33.66 MiB | 67.30 MiB/s 2025-08-14T21:37:22.6540705Z Receiving objects: 40% (25208/63020), 33.66 MiB | 67.30 MiB/s 2025-08-14T21:37:22.6671752Z Receiving objects: 41% (25839/63020), 33.66 MiB | 67.30 MiB/s 2025-08-14T21:37:22.6762062Z Receiving objects: 42% (26469/63020), 33.66 MiB | 67.30 MiB/s 2025-08-14T21:37:22.6899133Z Receiving objects: 43% (27099/63020), 33.66 MiB | 67.30 MiB/s 2025-08-14T21:37:22.7020469Z Receiving objects: 44% (27729/63020), 33.66 MiB | 67.30 MiB/s 2025-08-14T21:37:22.7111045Z Receiving objects: 45% (28359/63020), 33.66 MiB | 67.30 MiB/s 2025-08-14T21:37:22.7208434Z Receiving objects: 46% (28990/63020), 33.66 MiB | 67.30 MiB/s 2025-08-14T21:37:22.7320439Z Receiving objects: 47% (29620/63020), 33.66 MiB | 67.30 MiB/s 2025-08-14T21:37:22.7396998Z Receiving objects: 48% (30250/63020), 33.66 MiB | 67.30 MiB/s 2025-08-14T21:37:22.7516116Z Receiving objects: 49% (30880/63020), 33.66 MiB | 67.30 MiB/s 2025-08-14T21:37:22.7598448Z Receiving objects: 50% (31510/63020), 33.66 MiB | 67.30 MiB/s 2025-08-14T21:37:22.7670782Z Receiving objects: 51% (32141/63020), 33.66 MiB | 67.30 MiB/s 2025-08-14T21:37:22.7792995Z Receiving objects: 52% (32771/63020), 33.66 MiB | 67.30 MiB/s 2025-08-14T21:37:22.7890844Z Receiving objects: 53% (33401/63020), 33.66 MiB | 67.30 MiB/s 2025-08-14T21:37:22.8167390Z Receiving objects: 54% (34031/63020), 33.66 MiB | 67.30 MiB/s 2025-08-14T21:37:23.0842892Z Receiving objects: 54% (34492/63020), 68.20 MiB | 68.20 MiB/s 2025-08-14T21:37:23.3048874Z Receiving objects: 55% (34661/63020), 68.20 MiB | 68.20 MiB/s 2025-08-14T21:37:23.8168984Z Receiving objects: 56% (35292/63020), 68.20 MiB | 68.20 MiB/s 2025-08-14T21:37:24.1249471Z Receiving objects: 56% (35678/63020), 145.71 MiB | 72.85 MiB/s 2025-08-14T21:37:24.1430879Z Receiving objects: 57% (35922/63020), 145.71 MiB | 72.85 MiB/s 2025-08-14T21:37:24.1536135Z Receiving objects: 58% (36552/63020), 145.71 MiB | 72.85 MiB/s 2025-08-14T21:37:24.1722981Z Receiving objects: 59% (37182/63020), 145.71 MiB | 72.85 MiB/s 2025-08-14T21:37:24.2650253Z Receiving objects: 60% (37812/63020), 145.71 MiB | 72.85 MiB/s 2025-08-14T21:37:24.2790999Z Receiving objects: 61% (38443/63020), 145.71 MiB | 72.85 MiB/s 2025-08-14T21:37:24.2838316Z Receiving objects: 62% (39073/63020), 145.71 MiB | 72.85 MiB/s 2025-08-14T21:37:24.2860314Z Receiving objects: 63% (39703/63020), 145.71 MiB | 72.85 MiB/s 2025-08-14T21:37:24.2997391Z Receiving objects: 64% (40333/63020), 145.71 MiB | 72.85 MiB/s 2025-08-14T21:37:24.3206354Z Receiving objects: 65% (40963/63020), 145.71 MiB | 72.85 MiB/s 2025-08-14T21:37:24.3246705Z Receiving objects: 66% (41594/63020), 194.63 MiB | 77.88 MiB/s 2025-08-14T21:37:24.3371483Z Receiving objects: 67% (42224/63020), 194.63 MiB | 77.88 MiB/s 2025-08-14T21:37:24.3421276Z Receiving objects: 68% (42854/63020), 194.63 MiB | 77.88 MiB/s 2025-08-14T21:37:24.3442587Z Receiving objects: 69% (43484/63020), 194.63 MiB | 77.88 MiB/s 2025-08-14T21:37:24.3452309Z Receiving objects: 70% (44114/63020), 194.63 MiB | 77.88 MiB/s 2025-08-14T21:37:24.3479939Z Receiving objects: 71% (44745/63020), 194.63 MiB | 77.88 MiB/s 2025-08-14T21:37:24.3565529Z Receiving objects: 72% (45375/63020), 194.63 MiB | 77.88 MiB/s 2025-08-14T21:37:24.3654850Z Receiving objects: 73% (46005/63020), 194.63 MiB | 77.88 MiB/s 2025-08-14T21:37:24.3666255Z Receiving objects: 74% (46635/63020), 194.63 MiB | 77.88 MiB/s 2025-08-14T21:37:24.3862168Z Receiving objects: 75% (47265/63020), 194.63 MiB | 77.88 MiB/s 2025-08-14T21:37:24.3870589Z Receiving objects: 76% (47896/63020), 194.63 MiB | 77.88 MiB/s 2025-08-14T21:37:24.3983785Z Receiving objects: 77% (48526/63020), 194.63 MiB | 77.88 MiB/s 2025-08-14T21:37:24.4063391Z Receiving objects: 78% (49156/63020), 194.63 MiB | 77.88 MiB/s 2025-08-14T21:37:24.4518856Z Receiving objects: 79% (49786/63020), 194.63 MiB | 77.88 MiB/s 2025-08-14T21:37:24.4542741Z Receiving objects: 80% (50416/63020), 194.63 MiB | 77.88 MiB/s 2025-08-14T21:37:24.4577329Z Receiving objects: 81% (51047/63020), 194.63 MiB | 77.88 MiB/s 2025-08-14T21:37:24.4585748Z Receiving objects: 82% (51677/63020), 194.63 MiB | 77.88 MiB/s 2025-08-14T21:37:24.4657387Z Receiving objects: 83% (52307/63020), 194.63 MiB | 77.88 MiB/s 2025-08-14T21:37:24.4691836Z Receiving objects: 84% (52937/63020), 194.63 MiB | 77.88 MiB/s 2025-08-14T21:37:24.4723191Z Receiving objects: 85% (53567/63020), 194.63 MiB | 77.88 MiB/s 2025-08-14T21:37:24.4751639Z Receiving objects: 86% (54198/63020), 194.63 MiB | 77.88 MiB/s 2025-08-14T21:37:24.4761546Z Receiving objects: 87% (54828/63020), 194.63 MiB | 77.88 MiB/s 2025-08-14T21:37:24.4766247Z Receiving objects: 88% (55458/63020), 194.63 MiB | 77.88 MiB/s 2025-08-14T21:37:24.4771940Z Receiving objects: 89% (56088/63020), 194.63 MiB | 77.88 MiB/s 2025-08-14T21:37:24.4778124Z Receiving objects: 90% (56718/63020), 194.63 MiB | 77.88 MiB/s 2025-08-14T21:37:24.4779803Z Receiving objects: 91% (57349/63020), 194.63 MiB | 77.88 MiB/s 2025-08-14T21:37:24.4796503Z Receiving objects: 92% (57979/63020), 194.63 MiB | 77.88 MiB/s 2025-08-14T21:37:24.4863114Z Receiving objects: 93% (58609/63020), 194.63 MiB | 77.88 MiB/s 2025-08-14T21:37:24.4981459Z Receiving objects: 94% (59239/63020), 194.63 MiB | 77.88 MiB/s 2025-08-14T21:37:24.5104566Z Receiving objects: 95% (59869/63020), 194.63 MiB | 77.88 MiB/s 2025-08-14T21:37:24.5192979Z Receiving objects: 96% (60500/63020), 194.63 MiB | 77.88 MiB/s 2025-08-14T21:37:24.5366317Z Receiving objects: 97% (61130/63020), 194.63 MiB | 77.88 MiB/s 2025-08-14T21:37:24.5629791Z Receiving objects: 98% (61760/63020), 194.63 MiB | 77.88 MiB/s 2025-08-14T21:37:24.5774903Z Receiving objects: 99% (62390/63020), 194.63 MiB | 77.88 MiB/s 2025-08-14T21:37:24.5775357Z remote: Total 63020 (delta 63), reused 16 (delta 16), pack-reused 62930 (from 2) 2025-08-14T21:37:24.5785680Z Receiving objects: 100% (63020/63020), 194.63 MiB | 77.88 MiB/s 2025-08-14T21:37:24.5785988Z Receiving objects: 100% (63020/63020), 220.53 MiB | 79.85 MiB/s, done. 2025-08-14T21:37:24.5867024Z Resolving deltas: 0% (0/36584) 2025-08-14T21:37:24.5888249Z Resolving deltas: 1% (366/36584) 2025-08-14T21:37:24.5916874Z Resolving deltas: 2% (732/36584) 2025-08-14T21:37:24.5967308Z Resolving deltas: 3% (1098/36584) 2025-08-14T21:37:24.6006251Z Resolving deltas: 4% (1464/36584) 2025-08-14T21:37:24.6028494Z Resolving deltas: 5% (1830/36584) 2025-08-14T21:37:24.6056360Z Resolving deltas: 6% (2196/36584) 2025-08-14T21:37:24.6072805Z Resolving deltas: 7% (2562/36584) 2025-08-14T21:37:24.6219774Z Resolving deltas: 8% (2927/36584) 2025-08-14T21:37:24.6414797Z Resolving deltas: 9% (3293/36584) 2025-08-14T21:37:24.6596803Z Resolving deltas: 10% (3659/36584) 2025-08-14T21:37:24.6657709Z Resolving deltas: 11% (4025/36584) 2025-08-14T21:37:24.6715008Z Resolving deltas: 12% (4391/36584) 2025-08-14T21:37:24.6735442Z Resolving deltas: 13% (4757/36584) 2025-08-14T21:37:24.6749513Z Resolving deltas: 14% (5123/36584) 2025-08-14T21:37:24.6777280Z Resolving deltas: 15% (5488/36584) 2025-08-14T21:37:24.6801625Z Resolving deltas: 16% (5854/36584) 2025-08-14T21:37:24.6846196Z Resolving deltas: 17% (6220/36584) 2025-08-14T21:37:24.6872197Z Resolving deltas: 18% (6586/36584) 2025-08-14T21:37:24.6916435Z Resolving deltas: 19% (6951/36584) 2025-08-14T21:37:24.6924941Z Resolving deltas: 20% (7317/36584) 2025-08-14T21:37:24.6953443Z Resolving deltas: 21% (7683/36584) 2025-08-14T21:37:24.6978730Z Resolving deltas: 22% (8049/36584) 2025-08-14T21:37:24.7026486Z Resolving deltas: 23% (8415/36584) 2025-08-14T21:37:24.7048249Z Resolving deltas: 24% (8781/36584) 2025-08-14T21:37:24.7075358Z Resolving deltas: 25% (9146/36584) 2025-08-14T21:37:24.7111642Z Resolving deltas: 26% (9512/36584) 2025-08-14T21:37:24.7127489Z Resolving deltas: 27% (9878/36584) 2025-08-14T21:37:24.7175808Z Resolving deltas: 28% (10244/36584) 2025-08-14T21:37:24.7237323Z Resolving deltas: 29% (10610/36584) 2025-08-14T21:37:24.7258095Z Resolving deltas: 30% (10978/36584) 2025-08-14T21:37:24.7342277Z Resolving deltas: 31% (11342/36584) 2025-08-14T21:37:24.7473461Z Resolving deltas: 32% (11707/36584) 2025-08-14T21:37:24.7592972Z Resolving deltas: 33% (12073/36584) 2025-08-14T21:37:24.7632898Z Resolving deltas: 34% (12439/36584) 2025-08-14T21:37:24.7652591Z Resolving deltas: 35% (12805/36584) 2025-08-14T21:37:24.7673858Z Resolving deltas: 36% (13171/36584) 2025-08-14T21:37:24.7688039Z Resolving deltas: 37% (13537/36584) 2025-08-14T21:37:24.7772469Z Resolving deltas: 38% (13902/36584) 2025-08-14T21:37:24.7794577Z Resolving deltas: 39% (14268/36584) 2025-08-14T21:37:24.7869577Z Resolving deltas: 40% (14634/36584) 2025-08-14T21:37:24.7886341Z Resolving deltas: 41% (15000/36584) 2025-08-14T21:37:24.7939726Z Resolving deltas: 42% (15367/36584) 2025-08-14T21:37:24.7992151Z Resolving deltas: 43% (15732/36584) 2025-08-14T21:37:24.8046260Z Resolving deltas: 44% (16097/36584) 2025-08-14T21:37:24.8106287Z Resolving deltas: 45% (16463/36584) 2025-08-14T21:37:24.8199464Z Resolving deltas: 46% (16829/36584) 2025-08-14T21:37:24.8210617Z Resolving deltas: 47% (17195/36584) 2025-08-14T21:37:24.8379476Z Resolving deltas: 48% (17561/36584) 2025-08-14T21:37:24.8471347Z Resolving deltas: 49% (17927/36584) 2025-08-14T21:37:24.8528252Z Resolving deltas: 50% (18292/36584) 2025-08-14T21:37:24.8563632Z Resolving deltas: 51% (18658/36584) 2025-08-14T21:37:24.8605216Z Resolving deltas: 52% (19024/36584) 2025-08-14T21:37:24.8641255Z Resolving deltas: 53% (19390/36584) 2025-08-14T21:37:24.8674773Z Resolving deltas: 54% (19756/36584) 2025-08-14T21:37:24.8725124Z Resolving deltas: 55% (20122/36584) 2025-08-14T21:37:24.8749426Z Resolving deltas: 56% (20488/36584) 2025-08-14T21:37:24.8785832Z Resolving deltas: 57% (20853/36584) 2025-08-14T21:37:24.8823500Z Resolving deltas: 58% (21219/36584) 2025-08-14T21:37:24.8855087Z Resolving deltas: 59% (21586/36584) 2025-08-14T21:37:24.8886764Z Resolving deltas: 60% (21951/36584) 2025-08-14T21:37:24.8922856Z Resolving deltas: 61% (22317/36584) 2025-08-14T21:37:24.8952168Z Resolving deltas: 62% (22683/36584) 2025-08-14T21:37:24.8985084Z Resolving deltas: 63% (23048/36584) 2025-08-14T21:37:24.9021597Z Resolving deltas: 64% (23414/36584) 2025-08-14T21:37:24.9096182Z Resolving deltas: 65% (23780/36584) 2025-08-14T21:37:24.9149867Z Resolving deltas: 66% (24146/36584) 2025-08-14T21:37:24.9165212Z Resolving deltas: 67% (24512/36584) 2025-08-14T21:37:24.9182977Z Resolving deltas: 68% (24878/36584) 2025-08-14T21:37:24.9201712Z Resolving deltas: 69% (25243/36584) 2025-08-14T21:37:24.9220705Z Resolving deltas: 70% (25609/36584) 2025-08-14T21:37:24.9247555Z Resolving deltas: 71% (25975/36584) 2025-08-14T21:37:24.9379412Z Resolving deltas: 72% (26341/36584) 2025-08-14T21:37:24.9386497Z Resolving deltas: 73% (26707/36584) 2025-08-14T21:37:24.9415216Z Resolving deltas: 74% (27073/36584) 2025-08-14T21:37:24.9436260Z Resolving deltas: 75% (27438/36584) 2025-08-14T21:37:24.9465915Z Resolving deltas: 76% (27804/36584) 2025-08-14T21:37:24.9491440Z Resolving deltas: 77% (28170/36584) 2025-08-14T21:37:24.9507637Z Resolving deltas: 78% (28536/36584) 2025-08-14T21:37:24.9545306Z Resolving deltas: 79% (28902/36584) 2025-08-14T21:37:24.9619531Z Resolving deltas: 80% (29268/36584) 2025-08-14T21:37:24.9670028Z Resolving deltas: 81% (29634/36584) 2025-08-14T21:37:24.9697724Z Resolving deltas: 82% (29999/36584) 2025-08-14T21:37:24.9723947Z Resolving deltas: 83% (30365/36584) 2025-08-14T21:37:24.9746808Z Resolving deltas: 84% (30732/36584) 2025-08-14T21:37:24.9766852Z Resolving deltas: 85% (31097/36584) 2025-08-14T21:37:24.9786646Z Resolving deltas: 86% (31463/36584) 2025-08-14T21:37:24.9803649Z Resolving deltas: 87% (31830/36584) 2025-08-14T21:37:24.9822282Z Resolving deltas: 88% (32194/36584) 2025-08-14T21:37:24.9836935Z Resolving deltas: 89% (32560/36584) 2025-08-14T21:37:24.9847752Z Resolving deltas: 90% (32926/36584) 2025-08-14T21:37:24.9858478Z Resolving deltas: 91% (33292/36584) 2025-08-14T21:37:24.9877812Z Resolving deltas: 92% (33658/36584) 2025-08-14T21:37:24.9895739Z Resolving deltas: 93% (34024/36584) 2025-08-14T21:37:24.9917208Z Resolving deltas: 94% (34389/36584) 2025-08-14T21:37:24.9993422Z Resolving deltas: 95% (34755/36584) 2025-08-14T21:37:25.0072451Z Resolving deltas: 96% (35121/36584) 2025-08-14T21:37:25.0113731Z Resolving deltas: 97% (35487/36584) 2025-08-14T21:37:25.0157091Z Resolving deltas: 98% (35853/36584) 2025-08-14T21:37:25.0224431Z Resolving deltas: 99% (36219/36584) 2025-08-14T21:37:25.0226307Z Resolving deltas: 100% (36584/36584) 2025-08-14T21:37:25.0226511Z Resolving deltas: 100% (36584/36584), done. 2025-08-14T21:37:25.2035523Z Submodule path 'external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-08-14T21:37:25.3736018Z Submodule path 'external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-08-14T21:37:25.4470794Z Submodule path 'external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-08-14T21:37:25.8549568Z Submodule path 'external/cutlass': checked out 'b40777404c174b9694a870bff5c13ce6b7f656ad' 2025-08-14T21:37:25.8905513Z Submodule path 'external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-08-14T21:37:25.9032827Z Submodule path 'external/hipify_torch': checked out 'a4337c69fe0e2552a7b7b0669178926beeed828c' 2025-08-14T21:37:25.9780002Z Submodule path 'external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-08-14T21:37:25.9892315Z + pushd fbgemm/fbgemm_gpu 2025-08-14T21:37:25.9892585Z ~/pytorch/fbgemm/fbgemm_gpu ~/pytorch 2025-08-14T21:37:25.9899181Z + git checkout 7f1de94a4c2d14f59ad4ca84538c36084ea6b2c8 --recurse-submodules 2025-08-14T21:37:26.5787066Z Note: switching to '7f1de94a4c2d14f59ad4ca84538c36084ea6b2c8'. 2025-08-14T21:37:26.5788085Z 2025-08-14T21:37:26.5788662Z You are in 'detached HEAD' state. You can look around, make experimental 2025-08-14T21:37:26.5789001Z changes and commit them, and you can discard any commits you make in this 2025-08-14T21:37:26.5789334Z state without impacting any branches by switching back to a branch. 2025-08-14T21:37:26.5789511Z 2025-08-14T21:37:26.5789638Z If you want to create a new branch to retain commits you create, you may 2025-08-14T21:37:26.5789928Z do so (now or later) by using -c with the switch command. Example: 2025-08-14T21:37:26.5790090Z 2025-08-14T21:37:26.5790172Z git switch -c 2025-08-14T21:37:26.5790290Z 2025-08-14T21:37:26.5790357Z Or undo this operation with: 2025-08-14T21:37:26.5790458Z 2025-08-14T21:37:26.5790514Z git switch - 2025-08-14T21:37:26.5794526Z 2025-08-14T21:37:26.5794680Z Turn off this advice by setting config variable advice.detachedHead to false 2025-08-14T21:37:26.5794878Z 2025-08-14T21:37:26.5794967Z HEAD is now at 7f1de94a More code clean-up (#4514) 2025-08-14T21:37:26.5801280Z + 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 2025-08-14T21:37:27.5331145Z [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'] 2025-08-14T21:37:27.5336195Z [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) 2025-08-14T21:37:27.5337301Z [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'] 2025-08-14T21:37:27.5790923Z [SETUP.PY] Generating version file at: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/fbgemm_gpu/docs/version.py 2025-08-14T21:37:27.5800849Z [SETUP.PY] Setting the FBGEMM build target: default ... 2025-08-14T21:37:27.5801134Z [SETUP.PY] Setting the FBGEMM build variant: rocm ... 2025-08-14T21:37:27.5810959Z [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'] 2025-08-14T21:37:27.5947348Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/dist.py:759: SetuptoolsDeprecationWarning: License classifiers are deprecated. 2025-08-14T21:37:27.5948203Z !! 2025-08-14T21:37:27.5948460Z 2025-08-14T21:37:27.5948700Z ******************************************************************************** 2025-08-14T21:37:27.5949485Z Please consider removing the following classifiers in favor of a SPDX license expression: 2025-08-14T21:37:27.5949781Z 2025-08-14T21:37:27.5949917Z License :: OSI Approved :: BSD License 2025-08-14T21:37:27.5950067Z 2025-08-14T21:37:27.5950308Z See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details. 2025-08-14T21:37:27.5950652Z ******************************************************************************** 2025-08-14T21:37:27.5950795Z 2025-08-14T21:37:27.5950869Z !! 2025-08-14T21:37:27.5951044Z self._finalize_license_expression() 2025-08-14T21:37:27.5999236Z 2025-08-14T21:37:27.6004564Z 2025-08-14T21:37:27.6004973Z -------------------------------------------------------------------------------- 2025-08-14T21:37:27.6005258Z -- Trying 'Ninja' generator 2025-08-14T21:37:27.6005460Z -------------------------------- 2025-08-14T21:37:27.6005612Z --------------------------- 2025-08-14T21:37:27.6005734Z ---------------------- 2025-08-14T21:37:27.6005838Z ----------------- 2025-08-14T21:37:27.6006559Z ------------ 2025-08-14T21:37:27.6006651Z ------- 2025-08-14T21:37:27.6006729Z -- 2025-08-14T21:37:27.6011829Z Not searching for unused variables given on the command line. 2025-08-14T21:37:27.6503110Z CMake Deprecation Warning at CMakeLists.txt:1 (cmake_minimum_required): 2025-08-14T21:37:27.6506404Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-08-14T21:37:27.6506569Z CMake. 2025-08-14T21:37:27.6506622Z 2025-08-14T21:37:27.6506709Z Update the VERSION argument value. Or, use the ... syntax 2025-08-14T21:37:27.6506918Z to tell CMake that the project requires at least but has been updated 2025-08-14T21:37:27.6507104Z to work with policies introduced by or earlier. 2025-08-14T21:37:27.6507200Z 2025-08-14T21:37:27.6507264Z  2025-08-14T21:37:27.7233055Z -- The C compiler identification is GNU 11.4.0 2025-08-14T21:37:27.8010944Z -- Detecting C compiler ABI info 2025-08-14T21:37:28.0621672Z -- Detecting C compiler ABI info - done 2025-08-14T21:37:28.0757729Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2025-08-14T21:37:28.0761402Z -- Detecting C compile features 2025-08-14T21:37:28.0765003Z -- Detecting C compile features - done 2025-08-14T21:37:28.2266175Z -- The CXX compiler identification is GNU 11.4.0 2025-08-14T21:37:28.2726558Z -- Detecting CXX compiler ABI info 2025-08-14T21:37:28.5969012Z -- Detecting CXX compiler ABI info - done 2025-08-14T21:37:28.6054427Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2025-08-14T21:37:28.6057101Z -- Detecting CXX compile features 2025-08-14T21:37:28.6063740Z -- Detecting CXX compile features - done 2025-08-14T21:37:28.6113301Z -- Configuring done (1.0s) 2025-08-14T21:37:28.6150986Z -- Generating done (0.0s) 2025-08-14T21:37:28.6155255Z -- Build files have been written to: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_cmake_test_compile/build 2025-08-14T21:37:28.6204946Z -- 2025-08-14T21:37:28.6205931Z ------- 2025-08-14T21:37:28.6206100Z ------------ 2025-08-14T21:37:28.6206257Z ----------------- 2025-08-14T21:37:28.6206363Z ---------------------- 2025-08-14T21:37:28.6206481Z --------------------------- 2025-08-14T21:37:28.6206601Z -------------------------------- 2025-08-14T21:37:28.6206731Z -- Trying 'Ninja' generator - success 2025-08-14T21:37:28.6211782Z -------------------------------------------------------------------------------- 2025-08-14T21:37:28.6211962Z 2025-08-14T21:37:28.6221940Z Configuring Project 2025-08-14T21:37:28.6222088Z Working directory: 2025-08-14T21:37:28.6222313Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build 2025-08-14T21:37:28.6222506Z Command: 2025-08-14T21:37:28.6225576Z /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 2025-08-14T21:37:28.6228623Z 2025-08-14T21:37:28.6252209Z Not searching for unused variables given on the command line. 2025-08-14T21:37:28.6976469Z  2025-08-14T21:37:28.6976590Z  2025-08-14T21:37:28.6980639Z ================================================================================ 2025-08-14T21:37:28.6980863Z Default C compiler flags 2025-08-14T21:37:28.6981079Z (values may be overridden by CMAKE_CXX_STANDARD and CXX_STANDARD): 2025-08-14T21:37:28.6981247Z  2025-08-14T21:37:28.6981356Z -DTORCH_USE_HIP_DSA 2025-08-14T21:37:28.6981507Z ================================================================================ 2025-08-14T21:37:28.6981641Z  2025-08-14T21:37:28.6981722Z  2025-08-14T21:37:28.6981803Z  2025-08-14T21:37:28.6981923Z ================================================================================ 2025-08-14T21:37:28.6982073Z Default C++ compiler flags 2025-08-14T21:37:28.6982259Z (values may be overridden by CMAKE_CXX_STANDARD and CXX_STANDARD): 2025-08-14T21:37:28.6982432Z  2025-08-14T21:37:28.6982531Z -DTORCH_USE_HIP_DSA 2025-08-14T21:37:28.6982886Z ================================================================================ 2025-08-14T21:37:28.6983020Z  2025-08-14T21:37:28.6983106Z  2025-08-14T21:37:28.6984909Z  2025-08-14T21:37:28.6985055Z ================================================================================ 2025-08-14T21:37:28.6985194Z AVX2_FLAGS: 2025-08-14T21:37:28.6985288Z  2025-08-14T21:37:28.6985375Z -mavx2 2025-08-14T21:37:28.6985472Z -mf16c 2025-08-14T21:37:28.6985562Z -mfma 2025-08-14T21:37:28.6985656Z -fopenmp 2025-08-14T21:37:28.6985786Z ================================================================================ 2025-08-14T21:37:28.6985916Z  2025-08-14T21:37:28.6985997Z  2025-08-14T21:37:28.6987456Z  2025-08-14T21:37:28.6987580Z ================================================================================ 2025-08-14T21:37:28.6987717Z AVX512_FLAGS: 2025-08-14T21:37:28.6987820Z  2025-08-14T21:37:28.6988026Z -mavx2 2025-08-14T21:37:28.6988118Z -mf16c 2025-08-14T21:37:28.6988209Z -mfma 2025-08-14T21:37:28.6988311Z -mavx512f 2025-08-14T21:37:28.6988414Z -mavx512bw 2025-08-14T21:37:28.6988511Z -mavx512dq 2025-08-14T21:37:28.6989864Z -mavx512vl 2025-08-14T21:37:28.6990026Z -fopenmp 2025-08-14T21:37:28.6990206Z ================================================================================ 2025-08-14T21:37:28.6990345Z  2025-08-14T21:37:28.6990428Z  2025-08-14T21:37:28.6990509Z  2025-08-14T21:37:28.6990627Z ================================================================================ 2025-08-14T21:37:28.6991086Z The project is built using scikit-build 2025-08-14T21:37:28.6991920Z ================================================================================ 2025-08-14T21:37:28.6992054Z  2025-08-14T21:37:28.6992332Z  2025-08-14T21:37:28.6994156Z  2025-08-14T21:37:28.6994290Z ================================================================================ 2025-08-14T21:37:28.7004844Z Build Settings 2025-08-14T21:37:28.7005057Z  2025-08-14T21:37:28.7005461Z FBGEMM_BUILD_TARGET : default 2025-08-14T21:37:28.7005710Z FBGEMM_BUILD_VARIANT : rocm 2025-08-14T21:37:28.7005892Z  2025-08-14T21:37:28.7006050Z NVCC_VERBOSE :  2025-08-14T21:37:28.7006245Z CUDNN_INCLUDE_DIR :  2025-08-14T21:37:28.7006439Z CUDNN_LIBRARY :  2025-08-14T21:37:28.7009997Z NVML_LIB_PATH :  2025-08-14T21:37:28.7010236Z TORCH_CUDA_ARCH_LIST :  2025-08-14T21:37:28.7010427Z  2025-08-14T21:37:28.7010598Z HIP_ROOT_DIR : /opt/rocm 2025-08-14T21:37:28.7010807Z HIPCC_VERBOSE :  2025-08-14T21:37:28.7010992Z AMDGPU_TARGETS :  2025-08-14T21:37:28.7011176Z PYTORCH_ROCM_ARCH :  2025-08-14T21:37:28.7011416Z ================================================================================ 2025-08-14T21:37:28.7011615Z  2025-08-14T21:37:28.8180617Z -- The CXX compiler identification is GNU 11.4.0 2025-08-14T21:37:28.9380485Z -- The C compiler identification is GNU 11.4.0 2025-08-14T21:37:28.9921248Z -- Detecting CXX compiler ABI info 2025-08-14T21:37:29.3467084Z -- Detecting CXX compiler ABI info - done 2025-08-14T21:37:29.3619782Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2025-08-14T21:37:29.3621707Z -- Detecting CXX compile features 2025-08-14T21:37:29.3626112Z -- Detecting CXX compile features - done 2025-08-14T21:37:29.3763866Z -- Detecting C compiler ABI info 2025-08-14T21:37:29.6558837Z -- Detecting C compiler ABI info - done 2025-08-14T21:37:29.6674664Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2025-08-14T21:37:29.6677364Z -- Detecting C compile features 2025-08-14T21:37:29.6692558Z -- Detecting C compile features - done 2025-08-14T21:37:29.6743895Z -- Performing Test C_HAS_AVX_1 2025-08-14T21:37:30.0519424Z -- Performing Test C_HAS_AVX_1 - Failed 2025-08-14T21:37:30.0520242Z -- Performing Test C_HAS_AVX_2 2025-08-14T21:37:30.3660525Z -- Performing Test C_HAS_AVX_2 - Success 2025-08-14T21:37:30.3662442Z -- Performing Test C_HAS_AVX2_1 2025-08-14T21:37:30.6740719Z -- Performing Test C_HAS_AVX2_1 - Failed 2025-08-14T21:37:30.6742134Z -- Performing Test C_HAS_AVX2_2 2025-08-14T21:37:31.0222558Z -- Performing Test C_HAS_AVX2_2 - Success 2025-08-14T21:37:31.0223425Z -- Performing Test C_HAS_AVX512_1 2025-08-14T21:37:31.2912106Z -- Performing Test C_HAS_AVX512_1 - Failed 2025-08-14T21:37:31.2913234Z -- Performing Test C_HAS_AVX512_2 2025-08-14T21:37:31.6078982Z -- Performing Test C_HAS_AVX512_2 - Success 2025-08-14T21:37:31.6083461Z -- Performing Test CXX_HAS_AVX_1 2025-08-14T21:37:31.9207855Z -- Performing Test CXX_HAS_AVX_1 - Failed 2025-08-14T21:37:31.9211377Z -- Performing Test CXX_HAS_AVX_2 2025-08-14T21:37:32.3107717Z -- Performing Test CXX_HAS_AVX_2 - Success 2025-08-14T21:37:32.3113936Z -- Performing Test CXX_HAS_AVX2_1 2025-08-14T21:37:32.6352219Z -- Performing Test CXX_HAS_AVX2_1 - Failed 2025-08-14T21:37:32.6352592Z -- Performing Test CXX_HAS_AVX2_2 2025-08-14T21:37:32.9949026Z -- Performing Test CXX_HAS_AVX2_2 - Success 2025-08-14T21:37:32.9949345Z -- Performing Test CXX_HAS_AVX512_1 2025-08-14T21:37:33.3069362Z -- Performing Test CXX_HAS_AVX512_1 - Failed 2025-08-14T21:37:33.3070405Z -- Performing Test CXX_HAS_AVX512_2 2025-08-14T21:37:33.6106906Z -- Performing Test CXX_HAS_AVX512_2 - Success 2025-08-14T21:37:33.6188826Z Building PyTorch for GPU arch: gfx90a;gfx942 2025-08-14T21:37:33.7756759Z -- Found HIP: /opt/rocm (found suitable version "6.4.43484-123eb5128", minimum required is "1.0") 2025-08-14T21:37:33.7760352Z HIP VERSION: 6.4.43484-123eb5128 2025-08-14T21:37:33.8537614Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2025-08-14T21:37:34.0777138Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2025-08-14T21:37:34.0825577Z -- Found Threads: TRUE 2025-08-14T21:37:34.1227686Z hip VERSION: 6.4.43484 2025-08-14T21:37:34.1296980Z -- Reading ROCM version from: /opt/rocm/include/rocm-core/rocm_version.h 2025-08-14T21:37:34.1298520Z -- Content: 2025-08-14T21:37:34.1303552Z  2025-08-14T21:37:34.1309621Z ***** ROCm version from rocm_version.h **** 2025-08-14T21:37:34.1309866Z  2025-08-14T21:37:34.1310541Z ROCM_VERSION_DEV: 6.4.2 2025-08-14T21:37:34.1310768Z ROCM_VERSION_DEV_MAJOR: 6 2025-08-14T21:37:34.1330259Z ROCM_VERSION_DEV_MINOR: 4 2025-08-14T21:37:34.1330493Z ROCM_VERSION_DEV_PATCH: 2 2025-08-14T21:37:34.1330690Z ROCM_VERSION_DEV_INT: 60402 2025-08-14T21:37:34.1330931Z HIP_VERSION_MAJOR: 6 2025-08-14T21:37:34.1331124Z HIP_VERSION_MINOR: 4 2025-08-14T21:37:34.1331326Z TORCH_HIP_VERSION: 604 2025-08-14T21:37:34.1336478Z  2025-08-14T21:37:34.1336670Z ***** Library versions from cmake find_package ***** 2025-08-14T21:37:34.1336939Z  2025-08-14T21:37:34.1337102Z amd_comgr VERSION: 3.0.0 2025-08-14T21:37:34.1789771Z rocrand VERSION: 3.3.0 2025-08-14T21:37:34.1817779Z hiprand VERSION: 2.12.0 2025-08-14T21:37:34.1878958Z rocblas VERSION: 4.4.1 2025-08-14T21:37:34.1912375Z hipblas VERSION: 2.4.0 2025-08-14T21:37:34.1931661Z miopen VERSION: 3.4.0 2025-08-14T21:37:34.1948255Z hipfft VERSION: 1.0.18 2025-08-14T21:37:34.1964822Z hipsparse VERSION: 3.2.0 2025-08-14T21:37:34.1984229Z rocprim VERSION: 3.4.1 2025-08-14T21:37:34.2001152Z hipcub VERSION: 3.4.0 2025-08-14T21:37:34.2017686Z rocthrust VERSION: 3.3.0 2025-08-14T21:37:34.2034031Z hipsolver VERSION: 2.4.0 2025-08-14T21:37:34.2055698Z rocsolver VERSION: 3.28.2 2025-08-14T21:37:34.2056510Z CMake Warning at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/public/LoadHIP.cmake:175 (message): 2025-08-14T21:37:34.2056949Z Work around hiprtc cmake failure for cmake >= 4 2025-08-14T21:37:34.2057592Z Call Stack (most recent call first): 2025-08-14T21:37:34.2057987Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/Caffe2Config.cmake:74 (include) 2025-08-14T21:37:34.2058478Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:68 (find_package) 2025-08-14T21:37:34.2058918Z /var/lib/jenkins/pytorch/fbgemm/cmake/modules/PyTorchSetup.cmake:11 (find_package) 2025-08-14T21:37:34.2061403Z CMakeLists.txt:113 (include) 2025-08-14T21:37:34.2061514Z 2025-08-14T21:37:34.2061578Z  2025-08-14T21:37:34.2072215Z CMake Deprecation Warning at /opt/rocm/lib/cmake/hiprtc/hiprtc-config.cmake:21 (cmake_minimum_required): 2025-08-14T21:37:34.2072636Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-08-14T21:37:34.2072874Z CMake. 2025-08-14T21:37:34.2072945Z 2025-08-14T21:37:34.2073072Z Update the VERSION argument value. Or, use the ... syntax 2025-08-14T21:37:34.2073385Z to tell CMake that the project requires at least but has been updated 2025-08-14T21:37:34.2073646Z to work with policies introduced by or earlier. 2025-08-14T21:37:34.2073862Z Call Stack (most recent call first): 2025-08-14T21:37:34.2074208Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/public/LoadHIP.cmake:67 (find_package) 2025-08-14T21:37:34.2076958Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/public/LoadHIP.cmake:177 (find_package_and_print_version) 2025-08-14T21:37:34.2077505Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/Caffe2Config.cmake:74 (include) 2025-08-14T21:37:34.2078096Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:68 (find_package) 2025-08-14T21:37:34.2078530Z /var/lib/jenkins/pytorch/fbgemm/cmake/modules/PyTorchSetup.cmake:11 (find_package) 2025-08-14T21:37:34.2078810Z CMakeLists.txt:113 (include) 2025-08-14T21:37:34.2078924Z 2025-08-14T21:37:34.2078986Z  2025-08-14T21:37:34.2079144Z hiprtc VERSION: 6.4.43484 2025-08-14T21:37:34.2094459Z hipblaslt VERSION: 0.12.1 2025-08-14T21:37:34.2704650Z rccl VERSION: 2.22.3 2025-08-14T21:37:34.2715679Z hsa-runtime64 VERSION: 1.15.60402 2025-08-14T21:37:34.2743441Z hipsparselt VERSION: 0.2.3 2025-08-14T21:37:36.0549326Z hipblaslt is using scale pointer vec ext 2025-08-14T21:37:36.1120017Z CMake Warning at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message): 2025-08-14T21:37:36.1120642Z static library kineto_LIBRARY-NOTFOUND not found. 2025-08-14T21:37:36.1120802Z Call Stack (most recent call first): 2025-08-14T21:37:36.1121078Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:125 (append_torchlib_if_found) 2025-08-14T21:37:36.1127714Z /var/lib/jenkins/pytorch/fbgemm/cmake/modules/PyTorchSetup.cmake:11 (find_package) 2025-08-14T21:37:36.1128155Z CMakeLists.txt:113 (include) 2025-08-14T21:37:36.1128233Z 2025-08-14T21:37:36.1128298Z  2025-08-14T21:37:36.1128517Z -- Found Torch: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch.so 2025-08-14T21:37:36.1128743Z  2025-08-14T21:37:36.1128839Z  2025-08-14T21:37:36.1128981Z ================================================================================ 2025-08-14T21:37:36.1129135Z PyTorch Flags: 2025-08-14T21:37:36.1129241Z   2025-08-14T21:37:36.1129345Z TORCH_INCLUDE_DIRS: 2025-08-14T21:37:36.1129544Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:36.1131788Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:36.1131988Z   2025-08-14T21:37:36.1132088Z TORCH_LIBRARIES: 2025-08-14T21:37:36.1132201Z torch 2025-08-14T21:37:36.1132302Z torch_library 2025-08-14T21:37:36.1132800Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:36.1132972Z   2025-08-14T21:37:36.1133075Z TORCH_CUDA_OPTIONS: 2025-08-14T21:37:36.1133212Z --expt-relaxed-constexpr 2025-08-14T21:37:36.1133351Z -D__CUDA_NO_HALF_OPERATORS__ 2025-08-14T21:37:36.1133496Z -D__CUDA_NO_BFLOAT16_CONVERSIONS__ 2025-08-14T21:37:36.1135033Z -D__CUDA_NO_HALF2_OPERATORS__ 2025-08-14T21:37:36.1135196Z ================================================================================ 2025-08-14T21:37:36.1135330Z  2025-08-14T21:37:36.1135417Z  2025-08-14T21:37:36.1135503Z  2025-08-14T21:37:36.1135628Z ================================================================================ 2025-08-14T21:37:36.1135769Z CMAKE CUDA Flags 2025-08-14T21:37:36.1135870Z  2025-08-14T21:37:36.1135971Z CMAKE_CUDA_COMPILER_VERSION= 2025-08-14T21:37:36.1136127Z ================================================================================ 2025-08-14T21:37:36.1136258Z  2025-08-14T21:37:36.1137466Z  2025-08-14T21:37:36.1137547Z  2025-08-14T21:37:36.1137680Z ================================================================================ 2025-08-14T21:37:36.1137816Z NCCL Flags 2025-08-14T21:37:36.1138021Z  2025-08-14T21:37:36.1138117Z NCCL_INCLUDE_DIRS= 2025-08-14T21:37:36.1138232Z NCCL_LIBRARIES= 2025-08-14T21:37:36.1138370Z ================================================================================ 2025-08-14T21:37:36.1138496Z  2025-08-14T21:37:36.1138576Z  2025-08-14T21:37:36.1138656Z  2025-08-14T21:37:36.1139907Z ================================================================================ 2025-08-14T21:37:36.1140048Z CUDA Driver Path 2025-08-14T21:37:36.1140152Z  2025-08-14T21:37:36.1140250Z CUDA_DRIVER_LIBRARIES= 2025-08-14T21:37:36.1140401Z ================================================================================ 2025-08-14T21:37:36.1140527Z  2025-08-14T21:37:36.1142598Z Building FBGEMM for GPU arch: gfx90a;gfx942 2025-08-14T21:37:36.1142905Z HIP VERSION: 6.4.43484-123eb5128 2025-08-14T21:37:37.0763286Z -- The HIP compiler identification is Clang 19.0.0 2025-08-14T21:37:37.2376726Z -- Detecting HIP compiler ABI info 2025-08-14T21:37:38.1273342Z -- Detecting HIP compiler ABI info - done 2025-08-14T21:37:38.1436119Z -- Check for working HIP compiler: /opt/rocm/lib/llvm/bin/clang++ - skipped 2025-08-14T21:37:38.1442472Z -- Detecting HIP compile features 2025-08-14T21:37:38.1445087Z -- Detecting HIP compile features - done 2025-08-14T21:37:38.1663380Z HIP library name: amdhip64 2025-08-14T21:37:38.1670616Z CMake Deprecation Warning at /var/lib/jenkins/pytorch/fbgemm/external/hipify_torch/cmake/Hipify.cmake:3 (cmake_minimum_required): 2025-08-14T21:37:38.1671168Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-08-14T21:37:38.1676719Z CMake. 2025-08-14T21:37:38.1677528Z 2025-08-14T21:37:38.1678613Z Update the VERSION argument value. Or, use the ... syntax 2025-08-14T21:37:38.1679141Z to tell CMake that the project requires at least but has been updated 2025-08-14T21:37:38.1679485Z to work with policies introduced by or earlier. 2025-08-14T21:37:38.1679753Z Call Stack (most recent call first): 2025-08-14T21:37:38.1680091Z /var/lib/jenkins/pytorch/fbgemm/cmake/modules/RocmSetup.cmake:17 (include) 2025-08-14T21:37:38.1680418Z CMakeLists.txt:119 (include) 2025-08-14T21:37:38.1680546Z 2025-08-14T21:37:38.1680992Z  2025-08-14T21:37:38.1681151Z  2025-08-14T21:37:38.1681308Z  2025-08-14T21:37:38.1681546Z ================================================================================ 2025-08-14T21:37:38.1688966Z HIP found: TRUE 2025-08-14T21:37:38.1689188Z HIPCC compiler flags: 2025-08-14T21:37:38.1689776Z  2025-08-14T21:37:38.1689963Z -D__HIP_NO_HALF_OPERATORS__=1 2025-08-14T21:37:38.1690215Z -D__HIP_NO_BFLOAT16_CONVERSIONS__=1 2025-08-14T21:37:38.1690466Z -D__HIP_NO_HALF2_OPERATORS__=1 2025-08-14T21:37:38.1690703Z -DTORCH_USE_HIP_DSA 2025-08-14T21:37:38.1690897Z -mavx2 2025-08-14T21:37:38.1691059Z -mf16c 2025-08-14T21:37:38.1691217Z -mfma 2025-08-14T21:37:38.1691383Z -std=c++20 2025-08-14T21:37:38.1694148Z -fno-gpu-rdc 2025-08-14T21:37:38.1694368Z -Wno-defaulted-function-deleted 2025-08-14T21:37:38.1694612Z --offload-arch=gfx90a 2025-08-14T21:37:38.1694917Z --offload-arch=gfx942 2025-08-14T21:37:38.1695133Z  "-Wno-#pragma-messages"  2025-08-14T21:37:38.1695349Z  "-Wno-#warnings"  2025-08-14T21:37:38.1695557Z -fclang-abi-compat=17 2025-08-14T21:37:38.1695767Z -Wno-cuda-compat 2025-08-14T21:37:38.1695982Z -Wno-deprecated-declarations 2025-08-14T21:37:38.1696213Z -Wno-format 2025-08-14T21:37:38.1696404Z -Wno-ignored-attributes 2025-08-14T21:37:38.1698828Z -Wno-unused-result 2025-08-14T21:37:38.1699082Z ================================================================================ 2025-08-14T21:37:38.1699315Z  2025-08-14T21:37:38.1716789Z  2025-08-14T21:37:38.1717457Z  2025-08-14T21:37:38.1718128Z ================================================================================ 2025-08-14T21:37:38.1718410Z GPU CPP Library Target: asmjit (SHARED) 2025-08-14T21:37:38.1718617Z   2025-08-14T21:37:38.1718769Z CPU_SRCS: 2025-08-14T21:37:38.1718924Z  2025-08-14T21:37:38.1721560Z   2025-08-14T21:37:38.1721734Z GPU_SRCS: 2025-08-14T21:37:38.1721897Z  2025-08-14T21:37:38.1742058Z   2025-08-14T21:37:38.1742627Z CUDA_SPECIFIC_SRCS: 2025-08-14T21:37:38.1743957Z  2025-08-14T21:37:38.1744087Z   2025-08-14T21:37:38.1744259Z HIP_SPECIFIC_SRCS: 2025-08-14T21:37:38.1744418Z  2025-08-14T21:37:38.1744543Z   2025-08-14T21:37:38.1746746Z OTHER_SRCS: 2025-08-14T21:37:38.1747507Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/arm/a64assembler.cpp 2025-08-14T21:37:38.1748078Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/arm/a64builder.cpp 2025-08-14T21:37:38.1748568Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/arm/a64compiler.cpp 2025-08-14T21:37:38.1749077Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/arm/a64emithelper.cpp 2025-08-14T21:37:38.1749581Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/arm/a64formatter.cpp 2025-08-14T21:37:38.1750059Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/arm/a64func.cpp 2025-08-14T21:37:38.1750534Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/arm/a64instapi.cpp 2025-08-14T21:37:38.1751021Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/arm/a64instdb.cpp 2025-08-14T21:37:38.1751502Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/arm/a64operand.cpp 2025-08-14T21:37:38.1751983Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/arm/a64rapass.cpp 2025-08-14T21:37:38.1752469Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/arm/armformatter.cpp 2025-08-14T21:37:38.1752962Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/archtraits.cpp 2025-08-14T21:37:38.1753449Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/assembler.cpp 2025-08-14T21:37:38.1753929Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/builder.cpp 2025-08-14T21:37:38.1754415Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/codeholder.cpp 2025-08-14T21:37:38.1755085Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/codewriter.cpp 2025-08-14T21:37:38.1755569Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/compiler.cpp 2025-08-14T21:37:38.1756050Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/constpool.cpp 2025-08-14T21:37:38.1758143Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/cpuinfo.cpp 2025-08-14T21:37:38.1758630Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/emithelper.cpp 2025-08-14T21:37:38.1759108Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/emitter.cpp 2025-08-14T21:37:38.1759596Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/emitterutils.cpp 2025-08-14T21:37:38.1760089Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/environment.cpp 2025-08-14T21:37:38.1760591Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/errorhandler.cpp 2025-08-14T21:37:38.1761081Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/formatter.cpp 2025-08-14T21:37:38.1761549Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/func.cpp 2025-08-14T21:37:38.1762040Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/funcargscontext.cpp 2025-08-14T21:37:38.1762537Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/globals.cpp 2025-08-14T21:37:38.1763001Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/inst.cpp 2025-08-14T21:37:38.1764805Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/instdb.cpp 2025-08-14T21:37:38.1765289Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/jitallocator.cpp 2025-08-14T21:37:38.1765785Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/jitruntime.cpp 2025-08-14T21:37:38.1766345Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/logger.cpp 2025-08-14T21:37:38.1766821Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/operand.cpp 2025-08-14T21:37:38.1767294Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/osutils.cpp 2025-08-14T21:37:38.1768106Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/ralocal.cpp 2025-08-14T21:37:38.1768747Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/rapass.cpp 2025-08-14T21:37:38.1769347Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/rastack.cpp 2025-08-14T21:37:38.1769946Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/string.cpp 2025-08-14T21:37:38.1773495Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/support.cpp 2025-08-14T21:37:38.1773970Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/target.cpp 2025-08-14T21:37:38.1774434Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/type.cpp 2025-08-14T21:37:38.1774994Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/virtmem.cpp 2025-08-14T21:37:38.1775453Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/zone.cpp 2025-08-14T21:37:38.1775923Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/zonehash.cpp 2025-08-14T21:37:38.1776399Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/zonelist.cpp 2025-08-14T21:37:38.1776876Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/zonestack.cpp 2025-08-14T21:37:38.1777440Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/zonetree.cpp 2025-08-14T21:37:38.1778073Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/zonevector.cpp 2025-08-14T21:37:38.1780333Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/x86/x86assembler.cpp 2025-08-14T21:37:38.1780816Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/x86/x86builder.cpp 2025-08-14T21:37:38.1781296Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/x86/x86compiler.cpp 2025-08-14T21:37:38.1781788Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/x86/x86emithelper.cpp 2025-08-14T21:37:38.1782275Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/x86/x86formatter.cpp 2025-08-14T21:37:38.1782744Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/x86/x86func.cpp 2025-08-14T21:37:38.1783219Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/x86/x86instapi.cpp 2025-08-14T21:37:38.1783694Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/x86/x86instdb.cpp 2025-08-14T21:37:38.1784169Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/x86/x86operand.cpp 2025-08-14T21:37:38.1784641Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/x86/x86rapass.cpp 2025-08-14T21:37:38.1784945Z   2025-08-14T21:37:38.1785082Z CC_FLAGS: 2025-08-14T21:37:38.1785221Z  2025-08-14T21:37:38.1785346Z   2025-08-14T21:37:38.1785478Z NVCC_FLAGS: 2025-08-14T21:37:38.1785617Z  2025-08-14T21:37:38.1785738Z   2025-08-14T21:37:38.1785872Z HIPCC_FLAGS: 2025-08-14T21:37:38.1786016Z  2025-08-14T21:37:38.1786141Z   2025-08-14T21:37:38.1786282Z INCLUDE_DIRS: 2025-08-14T21:37:38.1786515Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:38.1786793Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:38.1788587Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:38.1788883Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:38.1789217Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:38.1789622Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:38.1790021Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src 2025-08-14T21:37:38.1790390Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cpuinfo/include 2025-08-14T21:37:38.1790767Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/include 2025-08-14T21:37:38.1791175Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/tools/util/include 2025-08-14T21:37:38.1791604Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/include 2025-08-14T21:37:38.1792055Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/library/include 2025-08-14T21:37:38.1793761Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/json/include 2025-08-14T21:37:38.1794023Z   2025-08-14T21:37:38.1794175Z Selected Source Files: 2025-08-14T21:37:38.1794336Z  2025-08-14T21:37:38.1794458Z   2025-08-14T21:37:38.1794606Z HIPified Source Files: 2025-08-14T21:37:38.1794764Z  2025-08-14T21:37:38.1794886Z   2025-08-14T21:37:38.1795034Z Library Dependencies: 2025-08-14T21:37:38.1795199Z torch 2025-08-14T21:37:38.1795342Z torch_library 2025-08-14T21:37:38.1796847Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:38.1797104Z   2025-08-14T21:37:38.1797242Z Output Library: 2025-08-14T21:37:38.1797451Z asmjit 2025-08-14T21:37:38.1797581Z   2025-08-14T21:37:38.1797727Z Destination Directory: 2025-08-14T21:37:38.1797974Z fbgemm_gpu 2025-08-14T21:37:38.1798174Z ================================================================================ 2025-08-14T21:37:38.1798366Z  2025-08-14T21:37:38.1798488Z  2025-08-14T21:37:38.1798611Z  2025-08-14T21:37:38.1800047Z ================================================================================ 2025-08-14T21:37:38.1800291Z GPU CPP Library Target: fbgemm (SHARED) 2025-08-14T21:37:38.1800480Z   2025-08-14T21:37:38.1800611Z CPU_SRCS: 2025-08-14T21:37:38.1800748Z  2025-08-14T21:37:38.1800870Z   2025-08-14T21:37:38.1801000Z GPU_SRCS: 2025-08-14T21:37:38.1801135Z  2025-08-14T21:37:38.1801257Z   2025-08-14T21:37:38.1801399Z CUDA_SPECIFIC_SRCS: 2025-08-14T21:37:38.1801555Z  2025-08-14T21:37:38.1802903Z   2025-08-14T21:37:38.1803052Z HIP_SPECIFIC_SRCS: 2025-08-14T21:37:38.1803205Z  2025-08-14T21:37:38.1803327Z   2025-08-14T21:37:38.1803456Z OTHER_SRCS: 2025-08-14T21:37:38.1803718Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../src/EmbeddingSpMDM.cc 2025-08-14T21:37:38.1804102Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../src/EmbeddingSpMDMNBit.cc 2025-08-14T21:37:38.1804468Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../src/QuantUtils.cc 2025-08-14T21:37:38.1804835Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../src/RefImplementations.cc 2025-08-14T21:37:38.1805243Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../src/RowWiseSparseAdagradFused.cc 2025-08-14T21:37:38.1805635Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../src/SparseAdagrad.cc 2025-08-14T21:37:38.1807201Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../src/Utils.cc 2025-08-14T21:37:38.1807575Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../src/EmbeddingSpMDMAutovec.cc 2025-08-14T21:37:38.1808553Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../src/EmbeddingStatsTracker.cc 2025-08-14T21:37:38.1809013Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../src/EmbeddingSpMDMAvx2.cc 2025-08-14T21:37:38.1809390Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../src/QuantUtilsAvx2.cc 2025-08-14T21:37:38.1809640Z   2025-08-14T21:37:38.1809771Z CC_FLAGS: 2025-08-14T21:37:38.1809908Z  2025-08-14T21:37:38.1810031Z   2025-08-14T21:37:38.1810162Z NVCC_FLAGS: 2025-08-14T21:37:38.1810298Z  2025-08-14T21:37:38.1811731Z   2025-08-14T21:37:38.1811873Z HIPCC_FLAGS: 2025-08-14T21:37:38.1812019Z  2025-08-14T21:37:38.1812143Z   2025-08-14T21:37:38.1812280Z INCLUDE_DIRS: 2025-08-14T21:37:38.1812510Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:38.1812786Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:38.1813060Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:38.1813357Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:38.1813688Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:38.1814098Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:38.1815857Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src 2025-08-14T21:37:38.1816235Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cpuinfo/include 2025-08-14T21:37:38.1816613Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/include 2025-08-14T21:37:38.1817017Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/tools/util/include 2025-08-14T21:37:38.1817441Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/include 2025-08-14T21:37:38.1817957Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/library/include 2025-08-14T21:37:38.1818449Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/json/include 2025-08-14T21:37:38.1818700Z   2025-08-14T21:37:38.1818849Z Selected Source Files: 2025-08-14T21:37:38.1819012Z  2025-08-14T21:37:38.1819135Z   2025-08-14T21:37:38.1820566Z HIPified Source Files: 2025-08-14T21:37:38.1820731Z  2025-08-14T21:37:38.1820853Z   2025-08-14T21:37:38.1820997Z Library Dependencies: 2025-08-14T21:37:38.1821164Z torch 2025-08-14T21:37:38.1821304Z torch_library 2025-08-14T21:37:38.1821568Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:38.1821824Z asmjit 2025-08-14T21:37:38.1821956Z   2025-08-14T21:37:38.1822092Z Output Library: 2025-08-14T21:37:38.1822245Z fbgemm 2025-08-14T21:37:38.1823632Z   2025-08-14T21:37:38.1823782Z Destination Directory: 2025-08-14T21:37:38.1823954Z fbgemm_gpu 2025-08-14T21:37:38.1824147Z ================================================================================ 2025-08-14T21:37:38.1824337Z  2025-08-14T21:37:38.1824459Z  2025-08-14T21:37:38.1824581Z  2025-08-14T21:37:38.1824757Z ================================================================================ 2025-08-14T21:37:38.1824979Z Running code generation script ... 2025-08-14T21:37:38.1825501Z /opt/conda/envs/py_3.10/bin/python /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/genscript/generate_backward_split.py --opensource --is_rocm 2025-08-14T21:37:38.1825986Z ================================================================================ 2025-08-14T21:37:38.1827441Z  2025-08-14T21:37:38.4571515Z [ARGS PARSE] Parsed arguments: Namespace(install_dir='.', is_fbcode=False, is_rocm=True) 2025-08-14T21:37:38.4572243Z [GENERAATE BACKWARD SPLIT]: ['/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/genscript/generate_backward_split.py', '--opensource', '--is_rocm'] 2025-08-14T21:37:38.4572948Z Written: gen_embedding_backward_dense_split_weighted_vbe_cuda.cu 2025-08-14T21:37:38.4580805Z Written: gen_embedding_backward_dense_split_weighted_cuda.cu 2025-08-14T21:37:38.4581620Z Written: gen_embedding_backward_dense_split_unweighted_nobag_cuda.cu 2025-08-14T21:37:38.4581946Z Written: gen_embedding_backward_dense_split_unweighted_vbe_cuda.cu 2025-08-14T21:37:38.4582253Z Written: gen_embedding_backward_dense_split_unweighted_cuda.cu 2025-08-14T21:37:38.4582540Z Written: gen_embedding_backward_dense_split_weighted_vbe_meta.cpp 2025-08-14T21:37:38.4582813Z Written: gen_embedding_backward_dense_split_weighted_meta.cpp 2025-08-14T21:37:38.4583098Z Written: gen_embedding_backward_dense_split_unweighted_nobag_meta.cpp 2025-08-14T21:37:38.4583393Z Written: gen_embedding_backward_dense_split_unweighted_vbe_meta.cpp 2025-08-14T21:37:38.4583674Z Written: gen_embedding_backward_dense_split_unweighted_meta.cpp 2025-08-14T21:37:38.4583976Z Written: gen_embedding_backward_dense_split_weighted_vbe_kernel_cta.cu 2025-08-14T21:37:38.4584274Z Written: gen_embedding_backward_dense_split_weighted_kernel_cta.cu 2025-08-14T21:37:38.4584578Z Written: gen_embedding_backward_dense_split_unweighted_nobag_kernel_cta.cu 2025-08-14T21:37:38.4584890Z Written: gen_embedding_backward_dense_split_unweighted_vbe_kernel_cta.cu 2025-08-14T21:37:38.4585190Z Written: gen_embedding_backward_dense_split_unweighted_kernel_cta.cu 2025-08-14T21:37:38.4585494Z Written: gen_embedding_backward_dense_split_weighted_vbe_kernel_warp.cu 2025-08-14T21:37:38.4585789Z Written: gen_embedding_backward_dense_split_weighted_kernel_warp.cu 2025-08-14T21:37:38.4586092Z Written: gen_embedding_backward_dense_split_unweighted_nobag_kernel_warp.cu 2025-08-14T21:37:38.4586406Z Written: gen_embedding_backward_dense_split_unweighted_vbe_kernel_warp.cu 2025-08-14T21:37:38.4586714Z Written: gen_embedding_backward_dense_split_unweighted_kernel_warp.cu 2025-08-14T21:37:38.4586997Z Written: gen_embedding_optimizer_dense_split_device_kernel.cuh 2025-08-14T21:37:38.4587379Z Written: gen_embedding_backward_split_dense.cpp 2025-08-14T21:37:38.4587600Z Written: gen_embedding_backward_dense_split_cpu.cpp 2025-08-14T21:37:38.4587849Z Written: gen_embedding_backward_adagrad_split_weighted_cuda.cu 2025-08-14T21:37:38.4588250Z Written: gen_embedding_backward_adagrad_split_unweighted_nobag_cuda.cu 2025-08-14T21:37:38.4591212Z Written: gen_embedding_backward_adagrad_split_unweighted_cuda.cu 2025-08-14T21:37:38.4591526Z Written: gen_embedding_backward_adagrad_split_weighted_meta.cpp 2025-08-14T21:37:38.4591813Z Written: gen_embedding_backward_adagrad_split_unweighted_nobag_meta.cpp 2025-08-14T21:37:38.4592099Z Written: gen_embedding_backward_adagrad_split_unweighted_meta.cpp 2025-08-14T21:37:38.4592375Z Written: gen_embedding_backward_adagrad_split_weighted_kernel_cta.cu 2025-08-14T21:37:38.4592672Z Written: gen_embedding_backward_adagrad_split_unweighted_nobag_kernel_cta.cu 2025-08-14T21:37:38.4592978Z Written: gen_embedding_backward_adagrad_split_unweighted_kernel_cta.cu 2025-08-14T21:37:38.4593274Z Written: gen_embedding_backward_adagrad_split_weighted_kernel_warp.cu 2025-08-14T21:37:38.4593583Z Written: gen_embedding_backward_adagrad_split_unweighted_nobag_kernel_warp.cu 2025-08-14T21:37:38.4593891Z Written: gen_embedding_backward_adagrad_split_unweighted_kernel_warp.cu 2025-08-14T21:37:38.4594173Z Written: gen_embedding_optimizer_adagrad_split_device_kernel.cuh 2025-08-14T21:37:38.4595875Z Written: gen_embedding_backward_split_adagrad.cpp 2025-08-14T21:37:38.4596107Z Written: gen_embedding_split_adagrad_pt2_autograd.cpp 2025-08-14T21:37:38.4596356Z Written: gen_embedding_backward_split_adagrad_pt2_cuda_wrapper.cpp 2025-08-14T21:37:38.4596588Z Written: lookup_adagrad.py 2025-08-14T21:37:38.4596770Z Written: gen_embedding_backward_adagrad_split_cpu.cpp 2025-08-14T21:37:38.4596994Z Written: gen_embedding_backward_split_adagrad_cpu.cpp 2025-08-14T21:37:38.4597240Z Written: gen_embedding_backward_split_adagrad_pt2_cpu_wrapper.cpp 2025-08-14T21:37:38.4597520Z Written: gen_embedding_backward_adam_split_weighted_vbe_cuda.cu 2025-08-14T21:37:38.4597776Z Written: gen_embedding_backward_adam_split_weighted_cuda.cu 2025-08-14T21:37:38.4598330Z Written: gen_embedding_backward_adam_split_unweighted_nobag_cuda.cu 2025-08-14T21:37:38.4598603Z Written: gen_embedding_backward_adam_split_unweighted_vbe_cuda.cu 2025-08-14T21:37:38.4600211Z Written: gen_embedding_backward_adam_split_unweighted_cuda.cu 2025-08-14T21:37:38.4600476Z Written: gen_embedding_backward_adam_split_weighted_vbe_meta.cpp 2025-08-14T21:37:38.4600735Z Written: gen_embedding_backward_adam_split_weighted_meta.cpp 2025-08-14T21:37:38.4601000Z Written: gen_embedding_backward_adam_split_unweighted_nobag_meta.cpp 2025-08-14T21:37:38.4601280Z Written: gen_embedding_backward_adam_split_unweighted_vbe_meta.cpp 2025-08-14T21:37:38.4601546Z Written: gen_embedding_backward_adam_split_unweighted_meta.cpp 2025-08-14T21:37:38.4601819Z Written: gen_embedding_backward_adam_split_weighted_vbe_kernel_cta.cu 2025-08-14T21:37:38.4602101Z Written: gen_embedding_backward_adam_split_weighted_kernel_cta.cu 2025-08-14T21:37:38.4602388Z Written: gen_embedding_backward_adam_split_unweighted_nobag_kernel_cta.cu 2025-08-14T21:37:38.4602696Z Written: gen_embedding_backward_adam_split_unweighted_vbe_kernel_cta.cu 2025-08-14T21:37:38.4602997Z Written: gen_embedding_backward_adam_split_unweighted_kernel_cta.cu 2025-08-14T21:37:38.4604561Z Written: gen_embedding_backward_adam_split_weighted_vbe_kernel_warp.cu 2025-08-14T21:37:38.4604849Z Written: gen_embedding_backward_adam_split_weighted_kernel_warp.cu 2025-08-14T21:37:38.4605136Z Written: 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gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_gwd_kernel_cta.cu 2025-08-14T21:37:38.6530807Z Written: gen_embedding_backward_rowwise_adagrad_split_unweighted_gwd_kernel_cta.cu 2025-08-14T21:37:38.6531217Z Written: gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_gwd_kernel_warp.cu 2025-08-14T21:37:38.6531562Z Written: gen_embedding_backward_rowwise_adagrad_split_weighted_gwd_kernel_warp.cu 2025-08-14T21:37:38.6531908Z Written: gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_gwd_kernel_warp.cu 2025-08-14T21:37:38.6532262Z Written: gen_embedding_backward_rowwise_adagrad_split_unweighted_gwd_kernel_warp.cu 2025-08-14T21:37:38.6532595Z Written: gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_gwd_cuda.cu 2025-08-14T21:37:38.6532911Z Written: gen_embedding_backward_rowwise_adagrad_split_weighted_gwd_cuda.cu 2025-08-14T21:37:38.6534500Z Written: gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_gwd_cuda.cu 2025-08-14T21:37:38.6535060Z Written: gen_embedding_backward_rowwise_adagrad_split_unweighted_gwd_cuda.cu 2025-08-14T21:37:38.6535363Z Written: gen_embedding_optimizer_rowwise_adagrad_ssd_device_kernel.cuh 2025-08-14T21:37:38.6535656Z Written: gen_embedding_optimizer_rowwise_adagrad_split_device_kernel.cuh 2025-08-14T21:37:38.6535927Z Written: gen_embedding_backward_ssd_rowwise_adagrad.cpp 2025-08-14T21:37:38.6536168Z Written: gen_embedding_ssd_rowwise_adagrad_pt2_autograd.cpp 2025-08-14T21:37:38.6536442Z Written: gen_embedding_backward_ssd_rowwise_adagrad_pt2_cuda_wrapper.cpp 2025-08-14T21:37:38.6536687Z Written: lookup_rowwise_adagrad_ssd.py 2025-08-14T21:37:38.6536896Z Written: gen_embedding_backward_split_rowwise_adagrad.cpp 2025-08-14T21:37:38.6537146Z Written: gen_embedding_split_rowwise_adagrad_pt2_autograd.cpp 2025-08-14T21:37:38.6538753Z Written: gen_embedding_backward_split_rowwise_adagrad_pt2_cuda_wrapper.cpp 2025-08-14T21:37:38.6539011Z Written: lookup_rowwise_adagrad.py 2025-08-14T21:37:38.6539223Z Written: gen_embedding_backward_rowwise_adagrad_split_cpu.cpp 2025-08-14T21:37:38.6539590Z Written: gen_embedding_backward_split_rowwise_adagrad_cpu.cpp 2025-08-14T21:37:38.6539871Z Written: gen_embedding_backward_split_rowwise_adagrad_pt2_cpu_wrapper.cpp 2025-08-14T21:37:38.6540193Z Written: gen_embedding_optimizer_approx_rowwise_adagrad_split_device_kernel.cuh 2025-08-14T21:37:38.6902620Z Written: gen_embedding_backward_split_approx_rowwise_adagrad.cpp 2025-08-14T21:37:38.6903080Z Written: gen_embedding_split_approx_rowwise_adagrad_pt2_autograd.cpp 2025-08-14T21:37:38.6903424Z Written: gen_embedding_backward_split_approx_rowwise_adagrad_pt2_cuda_wrapper.cpp 2025-08-14T21:37:38.6903747Z Written: gen_embedding_backward_split_approx_rowwise_adagrad_cpu.cpp 2025-08-14T21:37:38.6904066Z Written: gen_embedding_backward_split_approx_rowwise_adagrad_pt2_cpu_wrapper.cpp 2025-08-14T21:37:38.6906792Z Written: gen_embedding_optimizer_rowwise_adagrad_with_weight_decay_split_device_kernel.cuh 2025-08-14T21:37:38.6907168Z Written: gen_embedding_backward_split_rowwise_adagrad_with_weight_decay.cpp 2025-08-14T21:37:38.6907532Z Written: gen_embedding_split_rowwise_adagrad_with_weight_decay_pt2_autograd.cpp 2025-08-14T21:37:38.6908001Z Written: gen_embedding_backward_split_rowwise_adagrad_with_weight_decay_pt2_cuda_wrapper.cpp 2025-08-14T21:37:38.6908377Z Written: gen_embedding_backward_split_rowwise_adagrad_with_weight_decay_cpu.cpp 2025-08-14T21:37:38.6908739Z Written: gen_embedding_backward_split_rowwise_adagrad_with_weight_decay_pt2_cpu_wrapper.cpp 2025-08-14T21:37:38.6909137Z Written: gen_embedding_optimizer_approx_rowwise_adagrad_with_weight_decay_split_device_kernel.cuh 2025-08-14T21:37:38.6909521Z Written: gen_embedding_backward_split_approx_rowwise_adagrad_with_weight_decay.cpp 2025-08-14T21:37:38.6909968Z Written: gen_embedding_split_approx_rowwise_adagrad_with_weight_decay_pt2_autograd.cpp 2025-08-14T21:37:38.6910396Z Written: gen_embedding_backward_split_approx_rowwise_adagrad_with_weight_decay_pt2_cuda_wrapper.cpp 2025-08-14T21:37:38.6913549Z Written: gen_embedding_backward_split_approx_rowwise_adagrad_with_weight_decay_cpu.cpp 2025-08-14T21:37:38.6913946Z Written: gen_embedding_backward_split_approx_rowwise_adagrad_with_weight_decay_pt2_cpu_wrapper.cpp 2025-08-14T21:37:38.6914546Z Written: gen_embedding_backward_rowwise_adagrad_with_counter_split_weighted_vbe_cuda.cu 2025-08-14T21:37:38.6914901Z Written: gen_embedding_backward_rowwise_adagrad_with_counter_split_weighted_cuda.cu 2025-08-14T21:37:38.6915261Z Written: gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_nobag_cuda.cu 2025-08-14T21:37:38.6915630Z Written: gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_vbe_cuda.cu 2025-08-14T21:37:38.6915987Z Written: gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_cuda.cu 2025-08-14T21:37:38.6916343Z Written: gen_embedding_backward_rowwise_adagrad_with_counter_split_weighted_vbe_meta.cpp 2025-08-14T21:37:38.6916699Z Written: gen_embedding_backward_rowwise_adagrad_with_counter_split_weighted_meta.cpp 2025-08-14T21:37:38.6917064Z Written: gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_nobag_meta.cpp 2025-08-14T21:37:38.6917448Z Written: gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_vbe_meta.cpp 2025-08-14T21:37:38.6917823Z Written: gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_meta.cpp 2025-08-14T21:37:38.6918339Z Written: gen_embedding_backward_rowwise_adagrad_with_counter_split_weighted_vbe_kernel_cta.cu 2025-08-14T21:37:38.6918719Z Written: gen_embedding_backward_rowwise_adagrad_with_counter_split_weighted_kernel_cta.cu 2025-08-14T21:37:38.6919105Z Written: gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_nobag_kernel_cta.cu 2025-08-14T21:37:38.6919508Z Written: gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_vbe_kernel_cta.cu 2025-08-14T21:37:38.6919895Z Written: gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_kernel_cta.cu 2025-08-14T21:37:38.6920282Z Written: gen_embedding_backward_rowwise_adagrad_with_counter_split_weighted_vbe_kernel_warp.cu 2025-08-14T21:37:38.6920788Z Written: gen_embedding_backward_rowwise_adagrad_with_counter_split_weighted_kernel_warp.cu 2025-08-14T21:37:38.6921196Z Written: gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_nobag_kernel_warp.cu 2025-08-14T21:37:38.6923269Z Written: gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_vbe_kernel_warp.cu 2025-08-14T21:37:38.6923655Z Written: gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_kernel_warp.cu 2025-08-14T21:37:38.6924016Z Written: gen_embedding_optimizer_rowwise_adagrad_with_counter_split_device_kernel.cuh 2025-08-14T21:37:38.6924341Z Written: gen_embedding_backward_split_rowwise_adagrad_with_counter.cpp 2025-08-14T21:37:38.6924638Z Written: gen_embedding_split_rowwise_adagrad_with_counter_pt2_autograd.cpp 2025-08-14T21:37:38.6924967Z Written: gen_embedding_backward_split_rowwise_adagrad_with_counter_pt2_cuda_wrapper.cpp 2025-08-14T21:37:38.6925261Z Written: lookup_rowwise_adagrad_with_counter.py 2025-08-14T21:37:38.6925525Z Written: gen_embedding_backward_split_rowwise_adagrad_with_counter_cpu.cpp 2025-08-14T21:37:38.6925854Z Written: gen_embedding_backward_split_rowwise_adagrad_with_counter_pt2_cpu_wrapper.cpp 2025-08-14T21:37:38.6926228Z Written: gen_embedding_optimizer_approx_rowwise_adagrad_with_counter_split_device_kernel.cuh 2025-08-14T21:37:38.6928022Z Written: gen_embedding_backward_split_approx_rowwise_adagrad_with_counter.cpp 2025-08-14T21:37:38.6928356Z Written: gen_embedding_split_approx_rowwise_adagrad_with_counter_pt2_autograd.cpp 2025-08-14T21:37:38.6928714Z Written: gen_embedding_backward_split_approx_rowwise_adagrad_with_counter_pt2_cuda_wrapper.cpp 2025-08-14T21:37:38.6929074Z Written: gen_embedding_backward_split_approx_rowwise_adagrad_with_counter_cpu.cpp 2025-08-14T21:37:38.6929431Z Written: gen_embedding_backward_split_approx_rowwise_adagrad_with_counter_pt2_cpu_wrapper.cpp 2025-08-14T21:37:38.6929794Z Written: gen_embedding_optimizer_rowwise_weighted_adagrad_split_device_kernel.cuh 2025-08-14T21:37:38.6930106Z Written: gen_embedding_backward_split_rowwise_weighted_adagrad.cpp 2025-08-14T21:37:38.6930387Z Written: gen_embedding_split_rowwise_weighted_adagrad_pt2_autograd.cpp 2025-08-14T21:37:38.6930803Z Written: gen_embedding_backward_split_rowwise_weighted_adagrad_pt2_cuda_wrapper.cpp 2025-08-14T21:37:38.6931123Z Written: gen_embedding_backward_split_rowwise_weighted_adagrad_cpu.cpp 2025-08-14T21:37:38.6931434Z Written: gen_embedding_backward_split_rowwise_weighted_adagrad_pt2_cpu_wrapper.cpp 2025-08-14T21:37:38.6933058Z Written: gen_embedding_backward_sgd_split_weighted_vbe_cuda.cu 2025-08-14T21:37:38.6933321Z Written: gen_embedding_backward_sgd_split_weighted_cuda.cu 2025-08-14T21:37:38.6933597Z Written: gen_embedding_backward_sgd_split_unweighted_nobag_cuda.cu 2025-08-14T21:37:38.6933864Z Written: gen_embedding_backward_sgd_split_unweighted_vbe_cuda.cu 2025-08-14T21:37:38.6934120Z Written: gen_embedding_backward_sgd_split_unweighted_cuda.cu 2025-08-14T21:37:38.6934385Z Written: gen_embedding_backward_sgd_split_weighted_vbe_meta.cpp 2025-08-14T21:37:38.6934642Z Written: gen_embedding_backward_sgd_split_weighted_meta.cpp 2025-08-14T21:37:38.6934997Z Written: gen_embedding_backward_sgd_split_unweighted_nobag_meta.cpp 2025-08-14T21:37:38.6935271Z Written: gen_embedding_backward_sgd_split_unweighted_vbe_meta.cpp 2025-08-14T21:37:38.6935534Z Written: gen_embedding_backward_sgd_split_unweighted_meta.cpp 2025-08-14T21:37:38.6935807Z Written: gen_embedding_backward_sgd_split_weighted_vbe_kernel_cta.cu 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2025-08-14T21:37:38.6940567Z Written: gen_embedding_backward_split_sgd.cpp 2025-08-14T21:37:38.6942461Z Written: gen_embedding_split_sgd_pt2_autograd.cpp 2025-08-14T21:37:38.6942750Z Written: gen_embedding_backward_split_sgd_pt2_cuda_wrapper.cpp 2025-08-14T21:37:38.6943005Z Written: lookup_sgd.py 2025-08-14T21:37:38.6943201Z Written: gen_embedding_backward_sgd_split_cpu.cpp 2025-08-14T21:37:38.6943452Z Written: gen_embedding_backward_split_sgd_cpu.cpp 2025-08-14T21:37:38.6943728Z Written: gen_embedding_backward_split_sgd_pt2_cpu_wrapper.cpp 2025-08-14T21:37:38.6944051Z Written: gen_embedding_optimizer_approx_sgd_split_device_kernel.cuh 2025-08-14T21:37:38.6944348Z Written: gen_embedding_backward_split_approx_sgd.cpp 2025-08-14T21:37:38.6944632Z Written: gen_embedding_split_approx_sgd_pt2_autograd.cpp 2025-08-14T21:37:38.6944943Z Written: gen_embedding_backward_split_approx_sgd_pt2_cuda_wrapper.cpp 2025-08-14T21:37:38.6945253Z Written: gen_embedding_backward_split_approx_sgd_cpu.cpp 2025-08-14T21:37:38.6947033Z Written: gen_embedding_backward_split_approx_sgd_pt2_cpu_wrapper.cpp 2025-08-14T21:37:38.6947352Z Written: gen_embedding_backward_none_split_weighted_cuda.cu 2025-08-14T21:37:38.6947661Z Written: gen_embedding_backward_none_split_unweighted_nobag_cuda.cu 2025-08-14T21:37:38.6948068Z Written: gen_embedding_backward_none_split_unweighted_cuda.cu 2025-08-14T21:37:38.6948369Z Written: gen_embedding_backward_none_split_weighted_meta.cpp 2025-08-14T21:37:38.6948688Z Written: gen_embedding_backward_none_split_unweighted_nobag_meta.cpp 2025-08-14T21:37:38.6949015Z Written: gen_embedding_backward_none_split_unweighted_meta.cpp 2025-08-14T21:37:38.6949338Z Written: gen_embedding_backward_none_split_weighted_kernel_cta.cu 2025-08-14T21:37:38.6949761Z Written: gen_embedding_backward_none_split_unweighted_nobag_kernel_cta.cu 2025-08-14T21:37:38.6950113Z Written: gen_embedding_backward_none_split_unweighted_kernel_cta.cu 2025-08-14T21:37:38.6950443Z Written: gen_embedding_backward_none_split_weighted_kernel_warp.cu 2025-08-14T21:37:38.6952298Z Written: gen_embedding_backward_none_split_unweighted_nobag_kernel_warp.cu 2025-08-14T21:37:38.6952652Z Written: gen_embedding_backward_none_split_unweighted_kernel_warp.cu 2025-08-14T21:37:38.6952974Z Written: gen_embedding_optimizer_none_split_device_kernel.cuh 2025-08-14T21:37:38.6953245Z Written: gen_embedding_backward_split_none.cpp 2025-08-14T21:37:38.6953491Z Written: gen_embedding_split_none_pt2_autograd.cpp 2025-08-14T21:37:38.6953775Z Written: gen_embedding_backward_split_none_pt2_cuda_wrapper.cpp 2025-08-14T21:37:38.6954037Z Written: lookup_none.py 2025-08-14T21:37:38.6954231Z Written: gen_embedding_backward_split_none_cpu.cpp 2025-08-14T21:37:38.6954511Z Written: gen_embedding_backward_split_none_pt2_cpu_wrapper.cpp 2025-08-14T21:37:38.6954840Z Written: gen_embedding_backward_split_weighted_device_kernel_hip.hip 2025-08-14T21:37:38.7086883Z Written: gen_embedding_backward_split_unweighted_nobag_device_kernel_hip.hip 2025-08-14T21:37:38.7102940Z Written: gen_embedding_backward_split_unweighted_device_kernel_hip.hip 2025-08-14T21:37:38.7103766Z Written: gen_embedding_backward_ssd_weighted_vbe_device_kernel.cuh 2025-08-14T21:37:38.7104060Z Written: gen_embedding_backward_split_weighted_vbe_device_kernel.cuh 2025-08-14T21:37:38.7104357Z Written: gen_embedding_backward_ssd_weighted_device_kernel.cuh 2025-08-14T21:37:38.7104625Z Written: gen_embedding_backward_split_weighted_device_kernel.cuh 2025-08-14T21:37:38.7104906Z Written: gen_embedding_backward_ssd_unweighted_nobag_device_kernel.cuh 2025-08-14T21:37:38.7105518Z Written: gen_embedding_backward_split_unweighted_nobag_device_kernel.cuh 2025-08-14T21:37:38.7105815Z Written: gen_embedding_backward_ssd_unweighted_vbe_device_kernel.cuh 2025-08-14T21:37:38.7106109Z Written: gen_embedding_backward_split_unweighted_vbe_device_kernel.cuh 2025-08-14T21:37:38.7106387Z Written: gen_embedding_backward_ssd_unweighted_device_kernel.cuh 2025-08-14T21:37:38.7109765Z Written: gen_embedding_backward_split_unweighted_device_kernel.cuh 2025-08-14T21:37:38.7110048Z Written: gen_embedding_backward_split_common_device_kernel.cuh 2025-08-14T21:37:38.7110308Z Written: gen_embedding_backward_split_grad_embedding_ops.cu 2025-08-14T21:37:38.7110573Z Written: gen_embedding_backward_dense_indice_weights_codegen_cuda.cu 2025-08-14T21:37:38.7110852Z Written: gen_embedding_backward_ssd_indice_weights_codegen_cuda.cu 2025-08-14T21:37:38.7111131Z Written: gen_embedding_backward_split_indice_weights_codegen_cuda.cu 2025-08-14T21:37:38.7111361Z Written: pt2_arg_utils_ssd.h 2025-08-14T21:37:38.7111524Z Written: pt2_arg_utils.h 2025-08-14T21:37:38.7111668Z Written: __init__.py 2025-08-14T21:37:38.7111820Z Written: lookup_args_ssd.py 2025-08-14T21:37:38.7111971Z Written: lookup_args.py 2025-08-14T21:37:38.7169681Z  2025-08-14T21:37:38.7209406Z  2025-08-14T21:37:38.7209717Z ================================================================================ 2025-08-14T21:37:38.7210011Z Running code generation script ... 2025-08-14T21:37:38.7210575Z /opt/conda/envs/py_3.10/bin/python /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/genscript/generate_embedding_optimizer.py --opensource --is_rocm 2025-08-14T21:37:38.7211082Z ================================================================================ 2025-08-14T21:37:38.7217014Z  2025-08-14T21:37:38.7912805Z [ARGS PARSE] Parsed arguments: Namespace(install_dir='.', is_fbcode=False, is_rocm=True) 2025-08-14T21:37:38.7913256Z [GENERATE OPTIMIZERS]: ['/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/genscript/generate_embedding_optimizer.py', '--opensource', '--is_rocm'] 2025-08-14T21:37:38.7913638Z Written: gen_embedding_optimizer_rowwise_adagrad_split_cuda.cu 2025-08-14T21:37:38.7914323Z Written: gen_embedding_optimizer_rowwise_adagrad_split_kernel.cu 2025-08-14T21:37:38.7914509Z Written: gen_embedding_optimizer_rowwise_adagrad_split.cpp 2025-08-14T21:37:38.7914702Z Written: gen_embedding_optimizer_rowwise_adagrad_split_device_kernel.cuh 2025-08-14T21:37:38.7914892Z Written: split_embedding_optimizer_rowwise_adagrad.py 2025-08-14T21:37:38.7915047Z Written: optimizer_args.py 2025-08-14T21:37:38.7954302Z  2025-08-14T21:37:38.7954462Z  2025-08-14T21:37:38.7954692Z ================================================================================ 2025-08-14T21:37:38.7954902Z Running code generation script ... 2025-08-14T21:37:38.7955298Z /opt/conda/envs/py_3.10/bin/python /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/genscript/generate_forward_quantized.py --opensource --is_rocm 2025-08-14T21:37:38.7955673Z ================================================================================ 2025-08-14T21:37:38.7955808Z  2025-08-14T21:37:38.8614346Z [ARGS PARSE] Parsed arguments: Namespace(install_dir='.', is_fbcode=False, is_rocm=True) 2025-08-14T21:37:38.8615026Z [GENERATE FORWARD QUANTIZED]: ['/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/genscript/generate_forward_quantized.py', '--opensource', '--is_rocm'] 2025-08-14T21:37:38.8615586Z Written: gen_embedding_forward_quantized_split_nbit_kernel_weighted_fp32_codegen_cuda.cu 2025-08-14T21:37:38.8615963Z Written: gen_embedding_forward_quantized_split_nbit_kernel_weighted_fp16_codegen_cuda.cu 2025-08-14T21:37:38.8616337Z Written: gen_embedding_forward_quantized_split_nbit_kernel_weighted_fp8_codegen_cuda.cu 2025-08-14T21:37:38.8616710Z Written: gen_embedding_forward_quantized_split_nbit_kernel_weighted_int8_codegen_cuda.cu 2025-08-14T21:37:38.8617077Z Written: gen_embedding_forward_quantized_split_nbit_kernel_weighted_int4_codegen_cuda.cu 2025-08-14T21:37:38.8618060Z Written: gen_embedding_forward_quantized_split_nbit_kernel_weighted_int2_codegen_cuda.cu 2025-08-14T21:37:38.8618456Z Written: gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_fp32_codegen_cuda.cu 2025-08-14T21:37:38.8618857Z Written: gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_fp16_codegen_cuda.cu 2025-08-14T21:37:38.8619260Z Written: gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_fp8_codegen_cuda.cu 2025-08-14T21:37:38.8619659Z Written: gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_int8_codegen_cuda.cu 2025-08-14T21:37:38.8620058Z Written: gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_int4_codegen_cuda.cu 2025-08-14T21:37:38.8620452Z Written: gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_int2_codegen_cuda.cu 2025-08-14T21:37:38.8620840Z Written: gen_embedding_forward_quantized_split_nbit_kernel_unweighted_fp32_codegen_cuda.cu 2025-08-14T21:37:38.8621221Z Written: gen_embedding_forward_quantized_split_nbit_kernel_unweighted_fp16_codegen_cuda.cu 2025-08-14T21:37:38.8621607Z Written: gen_embedding_forward_quantized_split_nbit_kernel_unweighted_fp8_codegen_cuda.cu 2025-08-14T21:37:38.8621979Z Written: gen_embedding_forward_quantized_split_nbit_kernel_unweighted_int8_codegen_cuda.cu 2025-08-14T21:37:38.8622354Z Written: gen_embedding_forward_quantized_split_nbit_kernel_unweighted_int4_codegen_cuda.cu 2025-08-14T21:37:38.8622727Z Written: gen_embedding_forward_quantized_split_nbit_kernel_unweighted_int2_codegen_cuda.cu 2025-08-14T21:37:38.8623090Z Written: gen_embedding_forward_quantized_split_nbit_host_weighted_codegen_cuda.cu 2025-08-14T21:37:38.8623447Z Written: gen_embedding_forward_quantized_split_nbit_host_unweighted_nobag_codegen_cuda.cu 2025-08-14T21:37:38.8623809Z Written: gen_embedding_forward_quantized_split_nbit_host_unweighted_codegen_cuda.cu 2025-08-14T21:37:38.8629713Z Written: gen_embedding_forward_quantized_weighted_codegen_cpu.cpp 2025-08-14T21:37:38.8630084Z Written: gen_embedding_forward_quantized_unweighted_codegen_cpu.cpp 2025-08-14T21:37:38.8678744Z  2025-08-14T21:37:38.8678905Z  2025-08-14T21:37:38.8679338Z ================================================================================ 2025-08-14T21:37:38.8679589Z Running code generation script ... 2025-08-14T21:37:38.8680115Z /opt/conda/envs/py_3.10/bin/python /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/genscript/generate_forward_split.py --opensource --is_rocm 2025-08-14T21:37:38.8680603Z ================================================================================ 2025-08-14T21:37:38.8680797Z  2025-08-14T21:37:39.0288318Z [ARGS PARSE] Parsed arguments: Namespace(install_dir='.', is_fbcode=False, is_rocm=True) 2025-08-14T21:37:39.0294960Z [GENERATE FORWARD SPLIT]: ['/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/genscript/generate_forward_split.py', '--opensource', '--is_rocm'] 2025-08-14T21:37:39.0295545Z Written: gen_embedding_forward_dense_weighted_vbe_codegen_cuda.cu 2025-08-14T21:37:39.0295841Z Written: gen_embedding_forward_dense_weighted_codegen_cuda.cu 2025-08-14T21:37:39.0296157Z Written: gen_embedding_forward_dense_unweighted_vbe_codegen_cuda.cu 2025-08-14T21:37:39.0296447Z Written: gen_embedding_forward_dense_unweighted_codegen_cuda.cu 2025-08-14T21:37:39.0296716Z Written: gen_embedding_forward_ssd_weighted_vbe_codegen_cuda.cu 2025-08-14T21:37:39.0296987Z Written: gen_embedding_forward_split_weighted_vbe_codegen_cuda.cu 2025-08-14T21:37:39.0297256Z Written: gen_embedding_forward_ssd_weighted_codegen_cuda.cu 2025-08-14T21:37:39.0297515Z Written: gen_embedding_forward_split_weighted_codegen_cuda.cu 2025-08-14T21:37:39.0297782Z Written: gen_embedding_forward_ssd_unweighted_vbe_codegen_cuda.cu 2025-08-14T21:37:39.0298208Z Written: gen_embedding_forward_split_unweighted_vbe_codegen_cuda.cu 2025-08-14T21:37:39.0298479Z Written: gen_embedding_forward_ssd_unweighted_codegen_cuda.cu 2025-08-14T21:37:39.0299164Z Written: gen_embedding_forward_split_unweighted_codegen_cuda.cu 2025-08-14T21:37:39.0299444Z Written: gen_embedding_forward_split_weighted_vbe_gwd_codegen_cuda.cu 2025-08-14T21:37:39.0299733Z Written: gen_embedding_forward_split_weighted_gwd_codegen_cuda.cu 2025-08-14T21:37:39.0300021Z Written: gen_embedding_forward_split_unweighted_vbe_gwd_codegen_cuda.cu 2025-08-14T21:37:39.0300313Z Written: gen_embedding_forward_split_unweighted_gwd_codegen_cuda.cu 2025-08-14T21:37:39.0300593Z Written: gen_embedding_forward_dense_weighted_vbe_codegen_meta.cpp 2025-08-14T21:37:39.0300865Z Written: gen_embedding_forward_dense_weighted_codegen_meta.cpp 2025-08-14T21:37:39.0301142Z Written: gen_embedding_forward_dense_unweighted_vbe_codegen_meta.cpp 2025-08-14T21:37:39.0301421Z Written: gen_embedding_forward_dense_unweighted_codegen_meta.cpp 2025-08-14T21:37:39.0301691Z Written: gen_embedding_forward_ssd_weighted_vbe_codegen_meta.cpp 2025-08-14T21:37:39.0304365Z Written: gen_embedding_forward_split_weighted_vbe_codegen_meta.cpp 2025-08-14T21:37:39.0304638Z Written: gen_embedding_forward_ssd_weighted_codegen_meta.cpp 2025-08-14T21:37:39.0304896Z Written: gen_embedding_forward_split_weighted_codegen_meta.cpp 2025-08-14T21:37:39.0305170Z Written: gen_embedding_forward_ssd_unweighted_vbe_codegen_meta.cpp 2025-08-14T21:37:39.0305450Z Written: gen_embedding_forward_split_unweighted_vbe_codegen_meta.cpp 2025-08-14T21:37:39.0305724Z Written: gen_embedding_forward_ssd_unweighted_codegen_meta.cpp 2025-08-14T21:37:39.0305986Z Written: gen_embedding_forward_split_unweighted_codegen_meta.cpp 2025-08-14T21:37:39.0306243Z Written: gen_embedding_forward_dense_weighted_vbe_kernel.cu 2025-08-14T21:37:39.0306484Z Written: gen_embedding_forward_dense_weighted_kernel.cu 2025-08-14T21:37:39.0306734Z Written: gen_embedding_forward_dense_unweighted_nobag_kernel.cu 2025-08-14T21:37:39.0306995Z Written: gen_embedding_forward_dense_unweighted_vbe_kernel.cu 2025-08-14T21:37:39.0308836Z Written: gen_embedding_forward_dense_unweighted_kernel.cu 2025-08-14T21:37:39.0309083Z Written: gen_embedding_forward_ssd_weighted_vbe_kernel.cu 2025-08-14T21:37:39.0309328Z Written: gen_embedding_forward_split_weighted_vbe_kernel.cu 2025-08-14T21:37:39.0309772Z Written: gen_embedding_forward_ssd_weighted_kernel.cu 2025-08-14T21:37:39.0310002Z Written: gen_embedding_forward_split_weighted_kernel.cu 2025-08-14T21:37:39.0310243Z Written: gen_embedding_forward_ssd_unweighted_nobag_kernel.cu 2025-08-14T21:37:39.0310505Z Written: gen_embedding_forward_split_unweighted_nobag_kernel.cu 2025-08-14T21:37:39.0310759Z Written: gen_embedding_forward_ssd_unweighted_vbe_kernel.cu 2025-08-14T21:37:39.0311011Z Written: gen_embedding_forward_split_unweighted_vbe_kernel.cu 2025-08-14T21:37:39.0311254Z Written: gen_embedding_forward_ssd_unweighted_kernel.cu 2025-08-14T21:37:39.0311503Z Written: gen_embedding_forward_split_unweighted_kernel.cu 2025-08-14T21:37:39.0313179Z Written: gen_embedding_forward_split_weighted_vbe_gwd_kernel.cu 2025-08-14T21:37:39.0313435Z Written: gen_embedding_forward_split_weighted_gwd_kernel.cu 2025-08-14T21:37:39.0313691Z Written: gen_embedding_forward_split_unweighted_vbe_gwd_kernel.cu 2025-08-14T21:37:39.0313958Z Written: gen_embedding_forward_split_unweighted_gwd_kernel.cu 2025-08-14T21:37:39.0314209Z Written: gen_embedding_forward_split_weighted_v2_kernel.cu 2025-08-14T21:37:39.0314456Z Written: gen_embedding_forward_split_unweighted_v2_kernel.cu 2025-08-14T21:37:39.0314725Z Written: gen_embedding_forward_dense_unweighted_nobag_kernel_small.cu 2025-08-14T21:37:39.0315014Z Written: gen_embedding_forward_dense_unweighted_nobag_kernel_small.cu 2025-08-14T21:37:39.0315295Z Written: gen_embedding_forward_ssd_unweighted_nobag_kernel_small.cu 2025-08-14T21:37:39.0315576Z Written: gen_embedding_forward_split_unweighted_nobag_kernel_small.cu 2025-08-14T21:37:39.0317125Z Written: gen_embedding_forward_split_pt2_cuda_wrapper.cpp 2025-08-14T21:37:39.0317372Z Written: gen_embedding_forward_split_pt2_cpu_wrapper.cpp 2025-08-14T21:37:39.0317690Z Written: gen_embedding_forward_ssd_pt2_cuda_wrapper.cpp 2025-08-14T21:37:39.0349750Z  2025-08-14T21:37:39.0349891Z  2025-08-14T21:37:39.0350092Z ================================================================================ 2025-08-14T21:37:39.0350329Z Running code generation script ... 2025-08-14T21:37:39.0350846Z /opt/conda/envs/py_3.10/bin/python /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/genscript/generate_index_select.py --opensource --is_rocm 2025-08-14T21:37:39.0351329Z ================================================================================ 2025-08-14T21:37:39.0351521Z  2025-08-14T21:37:39.2137140Z [ARGS PARSE] Parsed arguments: Namespace(install_dir='.', is_fbcode=False, is_rocm=True) 2025-08-14T21:37:39.2142809Z [INDEX SELECT GENERATOR]: ['/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/genscript/generate_index_select.py', '--opensource', '--is_rocm'] 2025-08-14T21:37:39.2143180Z Written: gen_batch_index_select_dim0_forward_codegen_cuda.cu 2025-08-14T21:37:39.2143413Z Written: gen_batch_index_select_dim0_forward_kernel.cu 2025-08-14T21:37:39.2143607Z Written: gen_batch_index_select_dim0_forward_kernel_small.cu 2025-08-14T21:37:39.2143806Z Written: gen_batch_index_select_dim0_backward_codegen_cuda.cu 2025-08-14T21:37:39.2143984Z Written: gen_batch_index_select_dim0_backward_kernel_cta.cu 2025-08-14T21:37:39.2144160Z Written: gen_batch_index_select_dim0_backward_kernel_warp.cu 2025-08-14T21:37:39.2144353Z Written: gen_embedding_backward_split_batch_index_select_device_kernel.cuh 2025-08-14T21:37:39.2144549Z Written: gen_embedding_backward_split_grad_index_select.cu 2025-08-14T21:37:39.2144724Z Written: gen_embedding_backward_split_common_device_kernel.cuh 2025-08-14T21:37:40.3518722Z /var/lib/jenkins/pytorch/fbgemm/external/hipify_torch/hipify_torch/hipify_python.py:44: FutureWarning: you are using hipify version 1. 2025-08-14T21:37:40.3519255Z hipify's version 2 behavior will become the default in a later version of torch 2025-08-14T21:37:40.3519572Z warnings.warn("""you are using hipify version 1. 2025-08-14T21:37:40.5756816Z 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'] 2025-08-14T21:37:40.5758783Z /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] 2025-08-14T21:37:40.5763420Z /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] 2025-08-14T21:37:40.5774946Z /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] 2025-08-14T21:37:40.5783418Z /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] 2025-08-14T21:37:40.5804510Z /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] 2025-08-14T21:37:40.5815789Z /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] 2025-08-14T21:37:40.5839718Z /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] 2025-08-14T21:37:40.5851528Z /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] 2025-08-14T21:37:40.5869224Z /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] 2025-08-14T21:37:40.5871127Z /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] 2025-08-14T21:37:40.5889227Z /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] 2025-08-14T21:37:40.5898464Z /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] 2025-08-14T21:37:40.5910278Z /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] 2025-08-14T21:37:40.5919545Z /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] 2025-08-14T21:37:40.5932201Z /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] 2025-08-14T21:37:40.5957660Z /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] 2025-08-14T21:37:40.5967531Z /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] 2025-08-14T21:37:40.5987671Z /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] 2025-08-14T21:37:40.6055196Z /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] 2025-08-14T21:37:40.6064847Z /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] 2025-08-14T21:37:40.6085243Z /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] 2025-08-14T21:37:40.6124883Z /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] 2025-08-14T21:37:40.6131846Z /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] 2025-08-14T21:37:40.6139537Z /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] 2025-08-14T21:37:40.6183706Z /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] 2025-08-14T21:37:40.6188183Z /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] 2025-08-14T21:37:40.6207838Z /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] 2025-08-14T21:37:40.6279988Z /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] 2025-08-14T21:37:40.6297292Z /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] 2025-08-14T21:37:40.6310452Z /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] 2025-08-14T21:37:40.6319249Z /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] 2025-08-14T21:37:40.6390921Z /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] 2025-08-14T21:37:40.6397389Z /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] 2025-08-14T21:37:40.6402946Z /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] 2025-08-14T21:37:40.6406495Z /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] 2025-08-14T21:37:40.6431863Z /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] 2025-08-14T21:37:40.6449091Z /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] 2025-08-14T21:37:40.6488689Z /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] 2025-08-14T21:37:40.6504427Z /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] 2025-08-14T21:37:40.6595638Z /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] 2025-08-14T21:37:40.6602392Z /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] 2025-08-14T21:37:40.6619219Z /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] 2025-08-14T21:37:40.6645975Z /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] 2025-08-14T21:37:40.6658843Z /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] 2025-08-14T21:37:40.6667707Z /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] 2025-08-14T21:37:40.6701448Z /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] 2025-08-14T21:37:40.6720687Z /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] 2025-08-14T21:37:40.6733882Z /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] 2025-08-14T21:37:40.6754230Z /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] 2025-08-14T21:37:40.6797468Z /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] 2025-08-14T21:37:40.6799989Z /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] 2025-08-14T21:37:40.6808384Z /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] 2025-08-14T21:37:40.6828085Z /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] 2025-08-14T21:37:40.6851135Z /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] 2025-08-14T21:37:40.6858045Z /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] 2025-08-14T21:37:40.6888307Z /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] 2025-08-14T21:37:40.6894285Z /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] 2025-08-14T21:37:40.6896930Z /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] 2025-08-14T21:37:40.6899568Z /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] 2025-08-14T21:37:40.6904568Z /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] 2025-08-14T21:37:40.6906379Z /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] 2025-08-14T21:37:40.6926500Z /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] 2025-08-14T21:37:40.6934330Z /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] 2025-08-14T21:37:40.6948441Z /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] 2025-08-14T21:37:40.6981369Z /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] 2025-08-14T21:37:40.7013440Z /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] 2025-08-14T21:37:40.7142244Z /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] 2025-08-14T21:37:40.7148818Z /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] 2025-08-14T21:37:40.7160124Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/attention/attention.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/attention/attention.cpp [skipped, no changes] 2025-08-14T21:37:40.7257067Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/attention/gqa_attn_splitk.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/attention/gqa_attn_splitk.hip [ok] 2025-08-14T21:37:40.7259836Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/attention/attention_defs.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/attention/attention_defs.cpp [skipped, no changes] 2025-08-14T21:37:40.7262427Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/gather_scatter/gather_scatter.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/gather_scatter/gather_scatter.cpp [skipped, no changes] 2025-08-14T21:37:40.7278500Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/gather_scatter/gather_scatter_defs.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/gather_scatter/gather_scatter_defs.cpp [skipped, no changes] 2025-08-14T21:37:40.7283703Z /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] 2025-08-14T21:37:40.7286713Z /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] 2025-08-14T21:37:40.7295267Z /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] 2025-08-14T21:37:40.7386325Z /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] 2025-08-14T21:37:40.7423811Z /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] 2025-08-14T21:37:40.7429079Z /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] 2025-08-14T21:37:40.7429873Z /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] 2025-08-14T21:37:40.7439523Z /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] 2025-08-14T21:37:40.7463292Z /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] 2025-08-14T21:37:40.7478028Z /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] 2025-08-14T21:37:40.7496169Z /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] 2025-08-14T21:37:40.7513325Z /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] 2025-08-14T21:37:40.7523627Z /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] 2025-08-14T21:37:40.7535763Z /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] 2025-08-14T21:37:40.7549402Z /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] 2025-08-14T21:37:40.7562286Z /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] 2025-08-14T21:37:40.7569353Z /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] 2025-08-14T21:37:40.7572755Z /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] 2025-08-14T21:37:40.7575506Z /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] 2025-08-14T21:37:40.7578905Z /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] 2025-08-14T21:37:40.7586267Z /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] 2025-08-14T21:37:40.7592444Z /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] 2025-08-14T21:37:40.7597484Z /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] 2025-08-14T21:37:40.7600752Z /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] 2025-08-14T21:37:40.7604729Z /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] 2025-08-14T21:37:40.7608103Z /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] 2025-08-14T21:37:40.7630390Z /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] 2025-08-14T21:37:40.7649462Z /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 [ok] 2025-08-14T21:37:40.7652864Z /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] 2025-08-14T21:37:40.7658285Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_groupwise.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_groupwise.hip [ok] 2025-08-14T21:37:40.7662183Z /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] 2025-08-14T21:37:40.7668497Z /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] 2025-08-14T21:37:40.7675994Z /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] 2025-08-14T21:37:40.7701740Z /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] 2025-08-14T21:37:40.7715913Z /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] 2025-08-14T21:37:40.7740407Z /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] 2025-08-14T21:37:40.7754628Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16.hip [ok] 2025-08-14T21:37:40.7779808Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16i4bf16_shuffled_grouped.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16i4bf16_shuffled_grouped.hip [ok] 2025-08-14T21:37:40.7794558Z /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 [ok] 2025-08-14T21:37:40.7809359Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16_grouped.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16_grouped.hip [ok] 2025-08-14T21:37:40.7819435Z /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] 2025-08-14T21:37:40.7836768Z /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] 2025-08-14T21:37:40.7852753Z /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] 2025-08-14T21:37:40.7884843Z /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] 2025-08-14T21:37:40.7897997Z /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] 2025-08-14T21:37:40.7906422Z /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] 2025-08-14T21:37:40.7915784Z /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] 2025-08-14T21:37:40.7946994Z /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] 2025-08-14T21:37:40.7953358Z /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] 2025-08-14T21:37:40.7969003Z /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] 2025-08-14T21:37:40.7974543Z /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] 2025-08-14T21:37:40.7980863Z /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] 2025-08-14T21:37:40.7990121Z /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] 2025-08-14T21:37:40.8003662Z /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] 2025-08-14T21:37:40.8016962Z /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] 2025-08-14T21:37:40.8028516Z /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] 2025-08-14T21:37:40.8052134Z /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] 2025-08-14T21:37:40.8076545Z /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] 2025-08-14T21:37:40.8093293Z /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] 2025-08-14T21:37:40.8114956Z /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] 2025-08-14T21:37:40.8116805Z /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] 2025-08-14T21:37:40.8118793Z /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] 2025-08-14T21:37:40.8139952Z /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] 2025-08-14T21:37:40.8174312Z /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 [ok] 2025-08-14T21:37:40.8176698Z /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] 2025-08-14T21:37:40.8178296Z /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] 2025-08-14T21:37:40.8181028Z /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] 2025-08-14T21:37:40.8182709Z /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] 2025-08-14T21:37:40.8185065Z /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] 2025-08-14T21:37:40.8186865Z /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] 2025-08-14T21:37:40.8189919Z /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] 2025-08-14T21:37:40.8191476Z /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 -> /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.hip [ok] 2025-08-14T21:37:40.8193168Z /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_f.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_f.hip [ok] 2025-08-14T21:37:40.8195198Z /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_t.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_t.hip [ok] 2025-08-14T21:37:40.8225130Z /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] 2025-08-14T21:37:40.8227375Z /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] 2025-08-14T21:37:40.8229658Z /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] 2025-08-14T21:37:40.8231737Z /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] 2025-08-14T21:37:40.8233862Z /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] 2025-08-14T21:37:40.8235924Z /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] 2025-08-14T21:37:40.8238105Z /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] 2025-08-14T21:37:40.8240475Z /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 -> /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.hip [ok] 2025-08-14T21:37:40.8242403Z /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_f.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_f.hip [ok] 2025-08-14T21:37:40.8244430Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_128_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_128_32_128_2_1_1_9_f.hip [ok] 2025-08-14T21:37:40.8246466Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_128_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_128_16_128_2_1_1_9_f.hip [ok] 2025-08-14T21:37:40.8248635Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_128_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_128_16_128_4_1_1_9_f.hip [ok] 2025-08-14T21:37:40.8250898Z /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.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_f.hip [ok] 2025-08-14T21:37:40.8252732Z /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] 2025-08-14T21:37:40.8254932Z /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] 2025-08-14T21:37:40.8257155Z /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] 2025-08-14T21:37:40.8259272Z /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] 2025-08-14T21:37:40.8261363Z /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] 2025-08-14T21:37:40.8263440Z /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] 2025-08-14T21:37:40.8265921Z /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] 2025-08-14T21:37:40.8268096Z /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] 2025-08-14T21:37:40.8270369Z /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] 2025-08-14T21:37:40.8274622Z /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] 2025-08-14T21:37:40.8275603Z /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] 2025-08-14T21:37:40.8276664Z /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] 2025-08-14T21:37:40.8278925Z /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] 2025-08-14T21:37:40.8281215Z /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] 2025-08-14T21:37:40.8282897Z /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 -> 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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_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] 2025-08-14T21:37:40.8291505Z /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] 2025-08-14T21:37:40.8293733Z /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] 2025-08-14T21:37:40.8295522Z /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] 2025-08-14T21:37:40.8312361Z /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] 2025-08-14T21:37:40.8313573Z /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] 2025-08-14T21:37:40.8315362Z /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] 2025-08-14T21:37:40.8317806Z /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] 2025-08-14T21:37:40.8318949Z /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] 2025-08-14T21:37:40.8321640Z /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] 2025-08-14T21:37:40.8323108Z /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] 2025-08-14T21:37:40.8325081Z /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] 2025-08-14T21:37:40.8327259Z /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] 2025-08-14T21:37:40.8329271Z /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] 2025-08-14T21:37:40.8331107Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_256_2_1_1_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_256_2_1_1_f.hip [ok] 2025-08-14T21:37:40.8332988Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_256_2_2_1_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_256_2_2_1_t.hip [ok] 2025-08-14T21:37:40.8335109Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_128_128_4_2_1_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_128_128_4_2_1_t.hip [ok] 2025-08-14T21:37:40.8337010Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_128_2_1_1_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_128_2_1_1_f.hip [ok] 2025-08-14T21:37:40.8339167Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_128_192_4_2_1_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_128_192_4_2_1_t.hip [ok] 2025-08-14T21:37:40.8341329Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_192_2_2_1_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_192_2_2_1_t.hip [ok] 2025-08-14T21:37:40.8342975Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_192_2_1_1_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_192_2_1_1_t.hip [ok] 2025-08-14T21:37:40.8344837Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_192_2_1_1_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_192_2_1_1_f.hip [ok] 2025-08-14T21:37:40.8346771Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_128_192_2_1_1_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_128_192_2_1_1_t.hip [ok] 2025-08-14T21:37:40.8348752Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_256_2_4_1_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_256_2_4_1_f.hip [ok] 2025-08-14T21:37:40.8350724Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_192_4_1_1_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_192_4_1_1_t.hip [ok] 2025-08-14T21:37:40.8352539Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_128_2_2_1_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_128_2_2_1_f.hip [ok] 2025-08-14T21:37:40.8354430Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_128_2_4_1_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f4f4bf16/f4f4bf16_256_128_2_4_1_f.hip [ok] 2025-08-14T21:37:40.8356301Z /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] 2025-08-14T21:37:40.8358611Z /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] 2025-08-14T21:37:40.8360622Z /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] 2025-08-14T21:37:40.8362320Z /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] 2025-08-14T21:37:40.8364124Z /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] 2025-08-14T21:37:40.8366187Z /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] 2025-08-14T21:37:40.8368039Z /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] 2025-08-14T21:37:40.8370174Z /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] 2025-08-14T21:37:40.8372051Z /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] 2025-08-14T21:37:40.8373908Z /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] 2025-08-14T21:37:40.8375715Z /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] 2025-08-14T21:37:40.8377825Z /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] 2025-08-14T21:37:40.8379926Z /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] 2025-08-14T21:37:40.8395355Z /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] 2025-08-14T21:37:40.8397417Z /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] 2025-08-14T21:37:40.8400910Z /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] 2025-08-14T21:37:40.8401714Z /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] 2025-08-14T21:37:40.8412370Z /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] 2025-08-14T21:37:40.8414313Z /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] 2025-08-14T21:37:40.8416373Z /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] 2025-08-14T21:37:40.8418285Z /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] 2025-08-14T21:37:40.8420543Z /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] 2025-08-14T21:37:40.8422458Z /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] 2025-08-14T21:37:40.8424346Z /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] 2025-08-14T21:37:40.8440166Z /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] 2025-08-14T21:37:40.8442423Z /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] 2025-08-14T21:37:40.8443672Z /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] 2025-08-14T21:37:40.8446187Z /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] 2025-08-14T21:37:40.8474970Z /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] 2025-08-14T21:37:40.8476951Z /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] 2025-08-14T21:37:40.8480027Z /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] 2025-08-14T21:37:40.8482883Z /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] 2025-08-14T21:37:40.8510321Z /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] 2025-08-14T21:37:40.8513013Z /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] 2025-08-14T21:37:40.8519396Z /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] 2025-08-14T21:37:40.8522158Z /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] 2025-08-14T21:37:40.8524804Z /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] 2025-08-14T21:37:40.8527546Z /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] 2025-08-14T21:37:40.8530367Z /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] 2025-08-14T21:37:40.8559042Z /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] 2025-08-14T21:37:40.8561367Z /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] 2025-08-14T21:37:40.8564379Z /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] 2025-08-14T21:37:40.8567527Z /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] 2025-08-14T21:37:40.8570545Z /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] 2025-08-14T21:37:40.8573293Z /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] 2025-08-14T21:37:40.8576152Z /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] 2025-08-14T21:37:40.8579084Z /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] 2025-08-14T21:37:40.8581878Z /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] 2025-08-14T21:37:40.8584681Z /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] 2025-08-14T21:37:40.8589460Z /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] 2025-08-14T21:37:40.8590458Z /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] 2025-08-14T21:37:40.8592982Z /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] 2025-08-14T21:37:40.8620126Z /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] 2025-08-14T21:37:40.8623049Z /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] 2025-08-14T21:37:40.8625881Z /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] 2025-08-14T21:37:40.8628794Z /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] 2025-08-14T21:37:40.8631767Z /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] 2025-08-14T21:37:40.8634418Z /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] 2025-08-14T21:37:40.8638573Z /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] 2025-08-14T21:37:40.8640395Z /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] 2025-08-14T21:37:40.8643056Z /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] 2025-08-14T21:37:40.8645746Z /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] 2025-08-14T21:37:40.8648953Z /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] 2025-08-14T21:37:40.8651891Z /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] 2025-08-14T21:37:40.8654545Z /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] 2025-08-14T21:37:40.8683212Z /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] 2025-08-14T21:37:40.8686019Z /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] 2025-08-14T21:37:40.8688992Z /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] 2025-08-14T21:37:40.8691818Z /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] 2025-08-14T21:37:40.8694652Z /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] 2025-08-14T21:37:40.8697611Z /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] 2025-08-14T21:37:40.8700661Z /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] 2025-08-14T21:37:40.8703760Z /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] 2025-08-14T21:37:40.8706570Z /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] 2025-08-14T21:37:40.8709719Z /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] 2025-08-14T21:37:40.8712252Z /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] 2025-08-14T21:37:40.8715064Z /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] 2025-08-14T21:37:40.8717779Z /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] 2025-08-14T21:37:40.8741872Z /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] 2025-08-14T21:37:40.8743351Z /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] 2025-08-14T21:37:40.8745637Z /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] 2025-08-14T21:37:40.8752452Z /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] 2025-08-14T21:37:40.8776821Z /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] 2025-08-14T21:37:40.8778659Z /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] 2025-08-14T21:37:40.8780477Z /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] 2025-08-14T21:37:40.8782684Z /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] 2025-08-14T21:37:40.8784830Z /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] 2025-08-14T21:37:40.8786588Z /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] 2025-08-14T21:37:40.8788976Z /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] 2025-08-14T21:37:40.8791377Z /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] 2025-08-14T21:37:40.8792795Z /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] 2025-08-14T21:37:40.8794584Z /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] 2025-08-14T21:37:40.8797125Z /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] 2025-08-14T21:37:40.8799226Z /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] 2025-08-14T21:37:40.8801908Z /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] 2025-08-14T21:37:40.8805416Z /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] 2025-08-14T21:37:40.8888261Z /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] 2025-08-14T21:37:40.8902763Z /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] 2025-08-14T21:37:40.8935246Z /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] 2025-08-14T21:37:40.8938177Z /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] 2025-08-14T21:37:40.8941493Z /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] 2025-08-14T21:37:40.8944367Z /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] 2025-08-14T21:37:40.8947337Z /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] 2025-08-14T21:37:40.8951019Z /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] 2025-08-14T21:37:40.8954181Z /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] 2025-08-14T21:37:40.8966215Z /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] 2025-08-14T21:37:40.8970567Z /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] 2025-08-14T21:37:40.8972072Z /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] 2025-08-14T21:37:40.8975409Z /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] 2025-08-14T21:37:40.8978492Z /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] 2025-08-14T21:37:40.9001562Z /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] 2025-08-14T21:37:40.9002551Z /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] 2025-08-14T21:37:40.9006365Z /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] 2025-08-14T21:37:40.9008260Z /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] 2025-08-14T21:37:40.9010419Z /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] 2025-08-14T21:37:40.9012090Z /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] 2025-08-14T21:37:40.9014840Z /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] 2025-08-14T21:37:40.9015841Z /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] 2025-08-14T21:37:40.9038116Z /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] 2025-08-14T21:37:40.9039913Z /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] 2025-08-14T21:37:40.9041689Z /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] 2025-08-14T21:37:40.9049629Z /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] 2025-08-14T21:37:40.9059631Z /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] 2025-08-14T21:37:40.9071135Z /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] 2025-08-14T21:37:40.9082685Z /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] 2025-08-14T21:37:40.9089987Z /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] 2025-08-14T21:37:40.9097430Z /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] 2025-08-14T21:37:40.9105275Z /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] 2025-08-14T21:37:40.9111044Z /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] 2025-08-14T21:37:40.9130436Z /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] 2025-08-14T21:37:40.9144142Z /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] 2025-08-14T21:37:40.9146266Z /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] 2025-08-14T21:37:40.9154404Z /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] 2025-08-14T21:37:40.9158618Z /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] 2025-08-14T21:37:40.9167276Z /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] 2025-08-14T21:37:40.9168908Z /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] 2025-08-14T21:37:40.9194419Z /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] 2025-08-14T21:37:40.9248115Z /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] 2025-08-14T21:37:40.9251252Z /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] 2025-08-14T21:37:40.9265763Z /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] 2025-08-14T21:37:40.9295144Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/dispatch_macros.h -> 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/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] 2025-08-14T21:37:40.9365263Z /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] 2025-08-14T21:37:40.9409070Z /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] 2025-08-14T21:37:40.9414526Z /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] 2025-08-14T21:37:40.9419809Z /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] 2025-08-14T21:37:40.9424096Z /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] 2025-08-14T21:37:40.9429900Z /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] 2025-08-14T21:37:40.9437062Z /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] 2025-08-14T21:37:40.9475607Z /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] 2025-08-14T21:37:40.9491092Z /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] 2025-08-14T21:37:40.9494287Z /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] 2025-08-14T21:37:40.9514855Z /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] 2025-08-14T21:37:40.9567334Z /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] 2025-08-14T21:37:40.9584838Z /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] 2025-08-14T21:37:40.9594030Z /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] 2025-08-14T21:37:40.9640750Z /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] 2025-08-14T21:37:41.0075221Z /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] 2025-08-14T21:37:41.0082325Z /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] 2025-08-14T21:37:41.0088430Z /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] 2025-08-14T21:37:41.2225776Z /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] 2025-08-14T21:37:41.2259423Z /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] 2025-08-14T21:37:41.2266496Z /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] 2025-08-14T21:37:41.2346400Z /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] 2025-08-14T21:37:41.2354441Z /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] 2025-08-14T21:37:41.2391832Z /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] 2025-08-14T21:37:41.2401845Z /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] 2025-08-14T21:37:41.2435753Z /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] 2025-08-14T21:37:41.2443472Z /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] 2025-08-14T21:37:41.2445309Z /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] 2025-08-14T21:37:41.5133901Z /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] 2025-08-14T21:37:41.5490005Z /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] 2025-08-14T21:37:41.5498465Z /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] 2025-08-14T21:37:41.5901226Z /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] 2025-08-14T21:37:41.7845382Z /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] 2025-08-14T21:37:41.7870618Z /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] 2025-08-14T21:37:41.7955154Z /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] 2025-08-14T21:37:41.7990099Z /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] 2025-08-14T21:37:41.7991523Z /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] 2025-08-14T21:37:41.8070475Z /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] 2025-08-14T21:37:41.8129285Z /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] 2025-08-14T21:37:41.8140430Z /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] 2025-08-14T21:37:41.8147789Z /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] 2025-08-14T21:37:41.8222759Z /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] 2025-08-14T21:37:41.8600096Z /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] 2025-08-14T21:37:41.8678269Z /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] 2025-08-14T21:37:41.9098916Z /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] 2025-08-14T21:37:41.9159031Z /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] 2025-08-14T21:37:41.9310608Z /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] 2025-08-14T21:37:41.9932431Z /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] 2025-08-14T21:37:41.9933847Z /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] 2025-08-14T21:37:42.2296542Z /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] 2025-08-14T21:37:42.2356328Z /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] 2025-08-14T21:37:42.2419402Z /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] 2025-08-14T21:37:42.2438260Z /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] 2025-08-14T21:37:42.2482332Z /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] 2025-08-14T21:37:42.2959911Z /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] 2025-08-14T21:37:42.3083973Z /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] 2025-08-14T21:37:42.3603148Z /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] 2025-08-14T21:37:42.3692070Z /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] 2025-08-14T21:37:42.4156908Z /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] 2025-08-14T21:37:42.4223692Z /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] 2025-08-14T21:37:42.4230695Z /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] 2025-08-14T21:37:42.4238448Z /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] 2025-08-14T21:37:42.4312007Z /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] 2025-08-14T21:37:42.4316124Z /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] 2025-08-14T21:37:42.4837424Z /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] 2025-08-14T21:37:42.5445270Z /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] 2025-08-14T21:37:42.5452638Z /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] 2025-08-14T21:37:42.5490155Z /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] 2025-08-14T21:37:42.5559705Z /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] 2025-08-14T21:37:42.5574247Z /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] 2025-08-14T21:37:42.5632946Z /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] 2025-08-14T21:37:42.5640106Z /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] 2025-08-14T21:37:42.5724228Z /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] 2025-08-14T21:37:42.5747638Z /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] 2025-08-14T21:37:42.5831081Z /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] 2025-08-14T21:37:42.5838697Z /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] 2025-08-14T21:37:42.5848475Z /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] 2025-08-14T21:37:42.6030343Z /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] 2025-08-14T21:37:42.6047471Z /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] 2025-08-14T21:37:42.6054884Z /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] 2025-08-14T21:37:42.6060425Z /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] 2025-08-14T21:37:42.7145260Z /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] 2025-08-14T21:37:42.7154726Z /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] 2025-08-14T21:37:42.7212801Z /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] 2025-08-14T21:37:42.7632664Z /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] 2025-08-14T21:37:42.7841406Z /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] 2025-08-14T21:37:42.8706545Z /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] 2025-08-14T21:37:42.8714781Z /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] 2025-08-14T21:37:42.8734095Z /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] 2025-08-14T21:37:42.8741159Z /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] 2025-08-14T21:37:42.9174930Z /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] 2025-08-14T21:37:43.0528890Z /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] 2025-08-14T21:37:43.0581231Z /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] 2025-08-14T21:37:43.0598700Z /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] 2025-08-14T21:37:43.0651669Z /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] 2025-08-14T21:37:43.0658804Z /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] 2025-08-14T21:37:43.0675466Z /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] 2025-08-14T21:37:43.1472007Z /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] 2025-08-14T21:37:43.1487598Z /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] 2025-08-14T21:37:43.1489904Z /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] 2025-08-14T21:37:43.1584077Z /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] 2025-08-14T21:37:43.2106435Z /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] 2025-08-14T21:37:43.9614320Z /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] 2025-08-14T21:37:43.9664581Z /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] 2025-08-14T21:37:44.0213142Z /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] 2025-08-14T21:37:44.0532337Z /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] 2025-08-14T21:37:44.0541408Z /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] 2025-08-14T21:37:44.0597849Z /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] 2025-08-14T21:37:44.0605628Z /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] 2025-08-14T21:37:44.0616866Z /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] 2025-08-14T21:37:44.0673677Z /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] 2025-08-14T21:37:44.0729855Z /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] 2025-08-14T21:37:44.0738479Z /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] 2025-08-14T21:37:44.0745642Z /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] 2025-08-14T21:37:44.0746889Z /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] 2025-08-14T21:37:44.0775250Z /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] 2025-08-14T21:37:44.0783619Z /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] 2025-08-14T21:37:44.0868881Z /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] 2025-08-14T21:37:44.2275672Z /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] 2025-08-14T21:37:44.2282207Z /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] 2025-08-14T21:37:44.2289943Z /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] 2025-08-14T21:37:44.2298482Z /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] 2025-08-14T21:37:44.2685324Z /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] 2025-08-14T21:37:44.3084662Z /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] 2025-08-14T21:37:44.4996311Z /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] 2025-08-14T21:37:44.5018674Z /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] 2025-08-14T21:37:44.5025869Z /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] 2025-08-14T21:37:44.5033562Z /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] 2025-08-14T21:37:44.5041204Z /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] 2025-08-14T21:37:44.7438020Z /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] 2025-08-14T21:37:44.7529060Z /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] 2025-08-14T21:37:44.7889817Z /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] 2025-08-14T21:37:44.7950538Z /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] 2025-08-14T21:37:44.8550924Z /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] 2025-08-14T21:37:44.9442029Z /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] 2025-08-14T21:37:44.9829595Z /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] 2025-08-14T21:37:44.9879258Z /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] 2025-08-14T21:37:44.9887522Z /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] 2025-08-14T21:37:44.9985128Z /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] 2025-08-14T21:37:45.0730450Z /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] 2025-08-14T21:37:45.0731938Z /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] 2025-08-14T21:37:45.0748402Z /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] 2025-08-14T21:37:45.0758943Z /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] 2025-08-14T21:37:45.0832489Z /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] 2025-08-14T21:37:45.1399561Z /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] 2025-08-14T21:37:45.1479985Z /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] 2025-08-14T21:37:45.1481359Z /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] 2025-08-14T21:37:45.1482825Z /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] 2025-08-14T21:37:45.1487554Z /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] 2025-08-14T21:37:45.1550025Z /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] 2025-08-14T21:37:45.2099482Z /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] 2025-08-14T21:37:45.2101050Z /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] 2025-08-14T21:37:45.2638811Z /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] 2025-08-14T21:37:45.2687482Z /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] 2025-08-14T21:37:45.3452580Z /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] 2025-08-14T21:37:45.3506631Z /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] 2025-08-14T21:37:45.3973337Z /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] 2025-08-14T21:37:45.3981150Z /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] 2025-08-14T21:37:45.4026135Z /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] 2025-08-14T21:37:45.4430444Z /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] 2025-08-14T21:37:45.4490180Z /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] 2025-08-14T21:37:45.4497143Z /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] 2025-08-14T21:37:45.4553213Z /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] 2025-08-14T21:37:45.4607996Z /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] 2025-08-14T21:37:45.4619144Z /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] 2025-08-14T21:37:45.4724023Z /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] 2025-08-14T21:37:45.4790015Z /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] 2025-08-14T21:37:45.4893186Z /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] 2025-08-14T21:37:45.4919996Z /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] 2025-08-14T21:37:45.4975949Z /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] 2025-08-14T21:37:45.4977524Z /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] 2025-08-14T21:37:45.4984519Z /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] 2025-08-14T21:37:45.4985786Z /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] 2025-08-14T21:37:45.4994934Z /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] 2025-08-14T21:37:45.5050758Z /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] 2025-08-14T21:37:45.5634026Z /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] 2025-08-14T21:37:45.5704818Z /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] 2025-08-14T21:37:45.5711556Z /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] 2025-08-14T21:37:45.5774946Z /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] 2025-08-14T21:37:45.5790887Z /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] 2025-08-14T21:37:45.5792224Z /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] 2025-08-14T21:37:45.6345667Z /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] 2025-08-14T21:37:45.6347113Z /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] 2025-08-14T21:37:45.6530685Z /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] 2025-08-14T21:37:45.6897502Z /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] 2025-08-14T21:37:45.7105724Z /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] 2025-08-14T21:37:45.7170796Z /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] 2025-08-14T21:37:45.7224278Z /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] 2025-08-14T21:37:45.7286960Z /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] 2025-08-14T21:37:45.7293885Z /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] 2025-08-14T21:37:45.9671441Z /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] 2025-08-14T21:37:45.9750700Z /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] 2025-08-14T21:37:45.9809170Z /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] 2025-08-14T21:37:46.0295591Z /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] 2025-08-14T21:37:46.0346319Z /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] 2025-08-14T21:37:46.0357438Z /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] 2025-08-14T21:37:46.0409446Z /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] 2025-08-14T21:37:46.0459336Z /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] 2025-08-14T21:37:46.0483880Z /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] 2025-08-14T21:37:46.0548703Z /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] 2025-08-14T21:37:46.0550005Z /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] 2025-08-14T21:37:46.0679800Z /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] 2025-08-14T21:37:46.0874725Z /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] 2025-08-14T21:37:46.0975009Z /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] 2025-08-14T21:37:46.1537446Z /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] 2025-08-14T21:37:46.1595660Z /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] 2025-08-14T21:37:46.1613379Z /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] 2025-08-14T21:37:46.1630451Z /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] 2025-08-14T21:37:46.1637502Z /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] 2025-08-14T21:37:46.1758832Z /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] 2025-08-14T21:37:46.2335738Z /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] 2025-08-14T21:37:46.2349883Z /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] 2025-08-14T21:37:46.2403844Z /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] 2025-08-14T21:37:46.2415425Z /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] 2025-08-14T21:37:46.2425452Z /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] 2025-08-14T21:37:46.2493011Z /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] 2025-08-14T21:37:46.2515808Z /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] 2025-08-14T21:37:46.2597101Z /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] 2025-08-14T21:37:46.2606049Z /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] 2025-08-14T21:37:46.2617380Z /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] 2025-08-14T21:37:46.3155451Z /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] 2025-08-14T21:37:46.3239739Z /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] 2025-08-14T21:37:46.5460455Z /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] 2025-08-14T21:37:46.5547361Z /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] 2025-08-14T21:37:46.5603874Z /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] 2025-08-14T21:37:46.5670012Z /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] 2025-08-14T21:37:46.5733774Z /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] 2025-08-14T21:37:46.5830607Z /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] 2025-08-14T21:37:46.6049214Z /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] 2025-08-14T21:37:46.6059823Z /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] 2025-08-14T21:37:46.7617018Z /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] 2025-08-14T21:37:46.7625692Z /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] 2025-08-14T21:37:46.7706761Z /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] 2025-08-14T21:37:46.7715778Z /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] 2025-08-14T21:37:46.7740456Z /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] 2025-08-14T21:37:46.8197385Z /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] 2025-08-14T21:37:46.8478655Z /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] 2025-08-14T21:37:46.8889024Z /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] 2025-08-14T21:37:46.8896819Z /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] 2025-08-14T21:37:46.8958199Z /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] 2025-08-14T21:37:46.8965357Z /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] 2025-08-14T21:37:46.8967803Z /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] 2025-08-14T21:37:46.8984533Z /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] 2025-08-14T21:37:47.1368921Z /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] 2025-08-14T21:37:47.1430211Z /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] 2025-08-14T21:37:47.1490964Z /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] 2025-08-14T21:37:47.1501134Z /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] 2025-08-14T21:37:47.1597287Z /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] 2025-08-14T21:37:47.1607158Z /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] 2025-08-14T21:37:47.2194328Z /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] 2025-08-14T21:37:47.2288856Z /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] 2025-08-14T21:37:47.2359224Z /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] 2025-08-14T21:37:47.2367472Z /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] 2025-08-14T21:37:47.2730804Z /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] 2025-08-14T21:37:47.2746483Z /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] 2025-08-14T21:37:47.3032222Z /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] 2025-08-14T21:37:47.3039086Z /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] 2025-08-14T21:37:47.3126978Z /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] 2025-08-14T21:37:47.3167785Z /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] 2025-08-14T21:37:47.3216876Z /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] 2025-08-14T21:37:47.3850404Z /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] 2025-08-14T21:37:47.4145038Z /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] 2025-08-14T21:37:47.5911084Z /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] 2025-08-14T21:37:47.5968824Z /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] 2025-08-14T21:37:47.6646738Z /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] 2025-08-14T21:37:47.6759855Z /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] 2025-08-14T21:37:47.8192146Z /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] 2025-08-14T21:37:47.8783378Z /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] 2025-08-14T21:37:47.8793252Z /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] 2025-08-14T21:37:47.8800370Z /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] 2025-08-14T21:37:47.8808702Z /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] 2025-08-14T21:37:47.8878207Z /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] 2025-08-14T21:37:47.9077216Z /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] 2025-08-14T21:37:47.9559558Z /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] 2025-08-14T21:37:47.9569053Z /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] 2025-08-14T21:37:47.9624507Z /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] 2025-08-14T21:37:47.9701800Z /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] 2025-08-14T21:37:47.9758018Z /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] 2025-08-14T21:37:48.0392883Z /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] 2025-08-14T21:37:48.0422226Z /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] 2025-08-14T21:37:48.0482221Z /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] 2025-08-14T21:37:48.0551300Z /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] 2025-08-14T21:37:48.0631818Z /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] 2025-08-14T21:37:48.1218192Z /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] 2025-08-14T21:37:48.1330788Z /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] 2025-08-14T21:37:48.1657693Z /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] 2025-08-14T21:37:48.1748129Z /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] 2025-08-14T21:37:48.1781522Z /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] 2025-08-14T21:37:48.1788997Z /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] 2025-08-14T21:37:48.1850547Z /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] 2025-08-14T21:37:48.1851823Z /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] 2025-08-14T21:37:48.1933257Z /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] 2025-08-14T21:37:48.2005340Z /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] 2025-08-14T21:37:48.2058892Z /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] 2025-08-14T21:37:48.2164640Z /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] 2025-08-14T21:37:48.2174248Z /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] 2025-08-14T21:37:48.3069186Z /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] 2025-08-14T21:37:48.3117722Z /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] 2025-08-14T21:37:48.3614472Z /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] 2025-08-14T21:37:48.3680520Z /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] 2025-08-14T21:37:48.4202556Z /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] 2025-08-14T21:37:48.4553829Z /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] 2025-08-14T21:37:48.4562298Z /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] 2025-08-14T21:37:48.4564229Z /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] 2025-08-14T21:37:48.4684684Z /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] 2025-08-14T21:37:48.5220257Z /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] 2025-08-14T21:37:48.5221649Z /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] 2025-08-14T21:37:48.5225558Z /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] 2025-08-14T21:37:48.5242794Z /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] 2025-08-14T21:37:48.5558633Z /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] 2025-08-14T21:37:48.5569014Z /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] 2025-08-14T21:37:48.5584148Z /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] 2025-08-14T21:37:48.5911375Z /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] 2025-08-14T21:37:48.5912841Z /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] 2025-08-14T21:37:48.5921932Z /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] 2025-08-14T21:37:48.5979442Z /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] 2025-08-14T21:37:48.6704791Z /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] 2025-08-14T21:37:48.6762058Z /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] 2025-08-14T21:37:48.6773747Z /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] 2025-08-14T21:37:48.6792416Z /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] 2025-08-14T21:37:48.6802817Z /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] 2025-08-14T21:37:48.6810322Z /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] 2025-08-14T21:37:48.7311069Z /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] 2025-08-14T21:37:48.7604944Z /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] 2025-08-14T21:37:48.7666418Z /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] 2025-08-14T21:37:48.7676021Z /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] 2025-08-14T21:37:48.8057512Z /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] 2025-08-14T21:37:48.8072326Z /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] 2025-08-14T21:37:48.8700002Z /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] 2025-08-14T21:37:48.9195281Z /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] 2025-08-14T21:37:48.9764665Z /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] 2025-08-14T21:37:49.0081322Z /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] 2025-08-14T21:37:49.2638733Z /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] 2025-08-14T21:37:49.3996528Z /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] 2025-08-14T21:37:49.4416642Z /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] 2025-08-14T21:37:49.4469903Z /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] 2025-08-14T21:37:49.4476838Z /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] 2025-08-14T21:37:49.4838261Z /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] 2025-08-14T21:37:49.4868984Z /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] 2025-08-14T21:37:49.4931735Z /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] 2025-08-14T21:37:49.4940691Z /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] 2025-08-14T21:37:49.4998234Z /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] 2025-08-14T21:37:49.5051051Z /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] 2025-08-14T21:37:49.5062040Z /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] 2025-08-14T21:37:49.5145808Z /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] 2025-08-14T21:37:49.5693639Z /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] 2025-08-14T21:37:49.6213358Z /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] 2025-08-14T21:37:49.6220970Z /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] 2025-08-14T21:37:49.6276362Z /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] 2025-08-14T21:37:49.6299845Z /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] 2025-08-14T21:37:49.6366092Z /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] 2025-08-14T21:37:49.6750902Z /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] 2025-08-14T21:37:49.6759999Z /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] 2025-08-14T21:37:49.7060668Z /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] 2025-08-14T21:37:49.7062637Z /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] 2025-08-14T21:37:49.7119528Z /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] 2025-08-14T21:37:49.7204493Z /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] 2025-08-14T21:37:49.7263406Z /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] 2025-08-14T21:37:49.7362341Z /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] 2025-08-14T21:37:49.7416253Z /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] 2025-08-14T21:37:49.7423849Z /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] 2025-08-14T21:37:49.7431003Z /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] 2025-08-14T21:37:49.7484442Z /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] 2025-08-14T21:37:49.7508341Z /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] 2025-08-14T21:37:49.7527283Z /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] 2025-08-14T21:37:49.7592986Z /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] 2025-08-14T21:37:49.7654259Z /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] 2025-08-14T21:37:49.7724520Z /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] 2025-08-14T21:37:49.7793144Z /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] 2025-08-14T21:37:49.7844126Z /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] 2025-08-14T21:37:49.7919443Z /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] 2025-08-14T21:37:49.8085195Z /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] 2025-08-14T21:37:49.8087090Z /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] 2025-08-14T21:37:49.8400123Z /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] 2025-08-14T21:37:49.8682954Z /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] 2025-08-14T21:37:49.8689980Z /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] 2025-08-14T21:37:49.8698670Z /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] 2025-08-14T21:37:49.8791024Z /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] 2025-08-14T21:37:49.9308210Z /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] 2025-08-14T21:37:49.9309943Z /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] 2025-08-14T21:37:49.9725304Z /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] 2025-08-14T21:37:49.9779300Z /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] 2025-08-14T21:37:50.0323760Z /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] 2025-08-14T21:37:50.0331089Z /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] 2025-08-14T21:37:50.0471669Z /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] 2025-08-14T21:37:50.0482108Z /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] 2025-08-14T21:37:50.0538945Z /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] 2025-08-14T21:37:50.0592587Z /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] 2025-08-14T21:37:50.0600055Z /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] 2025-08-14T21:37:50.0662649Z /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] 2025-08-14T21:37:50.0709437Z /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] 2025-08-14T21:37:50.0716666Z /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] 2025-08-14T21:37:50.1309235Z /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] 2025-08-14T21:37:50.1317056Z /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] 2025-08-14T21:37:50.1660540Z /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] 2025-08-14T21:37:50.1669661Z /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] 2025-08-14T21:37:50.1729761Z /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] 2025-08-14T21:37:50.2863190Z /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] 2025-08-14T21:37:50.3259020Z /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] 2025-08-14T21:37:50.3320316Z /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] 2025-08-14T21:37:50.3337584Z /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] 2025-08-14T21:37:50.3339407Z /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] 2025-08-14T21:37:50.3439582Z /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] 2025-08-14T21:37:50.3446816Z /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] 2025-08-14T21:37:50.4246226Z /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] 2025-08-14T21:37:50.4323836Z /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] 2025-08-14T21:37:50.4328889Z /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] 2025-08-14T21:37:50.4729000Z /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] 2025-08-14T21:37:50.4778516Z /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] 2025-08-14T21:37:50.4823822Z /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] 2025-08-14T21:37:50.4825262Z /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] 2025-08-14T21:37:50.4873527Z /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] 2025-08-14T21:37:50.4884258Z /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] 2025-08-14T21:37:50.4920817Z /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] 2025-08-14T21:37:50.5259210Z /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] 2025-08-14T21:37:50.5281635Z /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] 2025-08-14T21:37:50.5340967Z /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] 2025-08-14T21:37:50.5972806Z /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] 2025-08-14T21:37:50.6030439Z /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] 2025-08-14T21:37:50.6053940Z /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] 2025-08-14T21:37:50.6063572Z /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] 2025-08-14T21:37:50.6102980Z /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] 2025-08-14T21:37:50.6762025Z /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] 2025-08-14T21:37:50.6780037Z /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] 2025-08-14T21:37:50.7143864Z /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] 2025-08-14T21:37:50.7205352Z /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] 2025-08-14T21:37:50.7212440Z /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] 2025-08-14T21:37:50.7374753Z /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] 2025-08-14T21:37:50.8199306Z /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] 2025-08-14T21:37:50.8881630Z /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] 2025-08-14T21:37:50.9445302Z /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] 2025-08-14T21:37:50.9491719Z /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] 2025-08-14T21:37:51.0082101Z /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] 2025-08-14T21:37:51.0089492Z /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] 2025-08-14T21:37:51.0194507Z /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] 2025-08-14T21:37:51.0284005Z /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] 2025-08-14T21:37:51.0344308Z /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] 2025-08-14T21:37:51.0351937Z /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] 2025-08-14T21:37:51.0402631Z /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] 2025-08-14T21:37:51.0412282Z /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] 2025-08-14T21:37:51.0419589Z /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] 2025-08-14T21:37:51.0426955Z /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] 2025-08-14T21:37:51.0490315Z /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] 2025-08-14T21:37:51.0499720Z /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] 2025-08-14T21:37:51.0506694Z /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] 2025-08-14T21:37:51.0512487Z /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] 2025-08-14T21:37:51.0556803Z /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] 2025-08-14T21:37:51.0909346Z /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] 2025-08-14T21:37:51.0920524Z /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] 2025-08-14T21:37:51.0932989Z /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] 2025-08-14T21:37:51.0950176Z /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] 2025-08-14T21:37:51.1442968Z /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] 2025-08-14T21:37:51.2101727Z /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] 2025-08-14T21:37:51.4669592Z /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] 2025-08-14T21:37:51.4756639Z /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] 2025-08-14T21:37:51.4772027Z /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] 2025-08-14T21:37:51.4818988Z /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] 2025-08-14T21:37:51.5390320Z /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] 2025-08-14T21:37:51.5471786Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lamb_split_unweighted_kernel_warp.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lamb_split_unweighted_kernel_warp.hip [ok] 2025-08-14T21:37:52.2204267Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_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_rowwise_adagrad_split_unweighted_nobag_kernel_warp.hip [ok] 2025-08-14T21:37:52.2213871Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lars_sgd_split_unweighted_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lars_sgd_split_unweighted_meta_hip.cpp [ok] 2025-08-14T21:37:52.4555932Z /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_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_nobag_kernel_warp.hip [ok] 2025-08-14T21:37:52.5168580Z /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_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_nobag_kernel_warp.hip [ok] 2025-08-14T21:37:52.5949123Z /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_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_kernel_cta.hip [ok] 2025-08-14T21:37:52.6765874Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_gwd_kernel.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_gwd_kernel.hip [ok] 2025-08-14T21:37:52.6778776Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_approx_sgd_pt2_autograd.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_approx_sgd_pt2_autograd_hip.cpp [ok] 2025-08-14T21:37:52.7359917Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_ssd_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_ssd_unweighted_vbe_kernel_cta.hip [ok] 2025-08-14T21:37:52.7368518Z /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_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_vbe_meta_hip.cpp [ok] 2025-08-14T21:37:52.7387523Z /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] 2025-08-14T21:37:52.7449133Z /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 -> /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 [ok] 2025-08-14T21:37:52.7457182Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lamb_split_unweighted_nobag_meta.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lamb_split_unweighted_nobag_meta_hip.cpp [ok] 2025-08-14T21:37:52.7977802Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_ssd_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_ssd_unweighted_nobag_kernel_warp.hip [ok] 2025-08-14T21:37:52.7979016Z 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/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/kv_tensor_wrapper.h [skipped, no changes] 2025-08-14T21:37:53.6756754Z /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] 2025-08-14T21:37:53.6806682Z /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] 2025-08-14T21:37:53.6816093Z /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] 2025-08-14T21:37:53.6821118Z /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] 2025-08-14T21:37:53.6831231Z /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] 2025-08-14T21:37:53.6845683Z /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] 2025-08-14T21:37:53.6853439Z /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] 2025-08-14T21:37:53.6864484Z /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] 2025-08-14T21:37:53.6865691Z /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] 2025-08-14T21:37:53.6874482Z /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] 2025-08-14T21:37:53.6882295Z /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] 2025-08-14T21:37:53.6894552Z /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] 2025-08-14T21:37:53.6901110Z /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] 2025-08-14T21:37:53.6904583Z /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] 2025-08-14T21:37:53.6906559Z /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] 2025-08-14T21:37:53.6918656Z /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] 2025-08-14T21:37:53.6926695Z /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] 2025-08-14T21:37:53.6933400Z /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] 2025-08-14T21:37:53.6943989Z /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] 2025-08-14T21:37:53.6976616Z /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] 2025-08-14T21:37:53.6981367Z /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] 2025-08-14T21:37:53.6989108Z /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] 2025-08-14T21:37:53.6999061Z /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] 2025-08-14T21:37:53.7009456Z /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] 2025-08-14T21:37:53.7019814Z /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] 2025-08-14T21:37:53.7024559Z /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] 2025-08-14T21:37:53.7031305Z /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] 2025-08-14T21:37:53.7036781Z /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] 2025-08-14T21:37:53.7054640Z /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] 2025-08-14T21:37:53.7234033Z /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] 2025-08-14T21:37:53.7267459Z /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] 2025-08-14T21:37:53.7272819Z /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] 2025-08-14T21:37:53.7286048Z /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] 2025-08-14T21:37:53.7302006Z /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] 2025-08-14T21:37:53.7314936Z /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] 2025-08-14T21:37:53.7318573Z /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] 2025-08-14T21:37:53.7398132Z /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] 2025-08-14T21:37:53.7420428Z /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] 2025-08-14T21:37:53.7427031Z /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] 2025-08-14T21:37:53.7432165Z /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] 2025-08-14T21:37:53.7482656Z /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] 2025-08-14T21:37:53.7492197Z /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] 2025-08-14T21:37:53.7504186Z /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] 2025-08-14T21:37:53.7507615Z /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] 2025-08-14T21:37:53.7510663Z /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] 2025-08-14T21:37:53.7514832Z /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] 2025-08-14T21:37:53.7522668Z /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] 2025-08-14T21:37:53.7527176Z /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] 2025-08-14T21:37:53.7539762Z /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] 2025-08-14T21:37:53.7546436Z /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] 2025-08-14T21:37:53.7557159Z /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] 2025-08-14T21:37:53.7566450Z /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] 2025-08-14T21:37:53.7573702Z /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] 2025-08-14T21:37:53.7584361Z /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] 2025-08-14T21:37:53.7595226Z /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] 2025-08-14T21:37:53.7602081Z /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] 2025-08-14T21:37:53.7640334Z /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] 2025-08-14T21:37:53.7660125Z /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] 2025-08-14T21:37:53.7686954Z /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] 2025-08-14T21:37:53.7693927Z /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] 2025-08-14T21:37:53.7705149Z /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] 2025-08-14T21:37:53.7716614Z /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] 2025-08-14T21:37:53.7736254Z /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] 2025-08-14T21:37:53.7756585Z /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] 2025-08-14T21:37:53.7764118Z /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] 2025-08-14T21:37:53.7769886Z /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] 2025-08-14T21:37:53.7782228Z /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] 2025-08-14T21:37:53.7787700Z /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] 2025-08-14T21:37:53.7875390Z /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] 2025-08-14T21:37:53.7882058Z /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] 2025-08-14T21:37:53.7885076Z /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] 2025-08-14T21:37:53.7893197Z /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] 2025-08-14T21:37:53.7952351Z /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] 2025-08-14T21:37:53.8033273Z /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] 2025-08-14T21:37:53.8066263Z /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] 2025-08-14T21:37:53.8114486Z /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] 2025-08-14T21:37:53.8128087Z /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] 2025-08-14T21:37:53.8163744Z /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] 2025-08-14T21:37:53.8166736Z /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] 2025-08-14T21:37:53.8186035Z /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] 2025-08-14T21:37:53.8194177Z /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] 2025-08-14T21:37:53.8228182Z /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] 2025-08-14T21:37:53.8236779Z /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] 2025-08-14T21:37:53.8240412Z /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] 2025-08-14T21:37:53.8272766Z /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] 2025-08-14T21:37:53.8288481Z /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] 2025-08-14T21:37:53.8303494Z /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] 2025-08-14T21:37:53.8307845Z /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] 2025-08-14T21:37:53.8311615Z /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] 2025-08-14T21:37:53.8324492Z /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] 2025-08-14T21:37:53.8336399Z /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] 2025-08-14T21:37:53.8356163Z /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] 2025-08-14T21:37:53.8367865Z /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] 2025-08-14T21:37:53.8382837Z /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] 2025-08-14T21:37:53.8398343Z /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] 2025-08-14T21:37:53.8410797Z /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] 2025-08-14T21:37:53.8411730Z /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] 2025-08-14T21:37:53.8443831Z /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] 2025-08-14T21:37:53.8469311Z /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] 2025-08-14T21:37:53.8484958Z /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] 2025-08-14T21:37:53.8492330Z /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] 2025-08-14T21:37:53.8510317Z /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] 2025-08-14T21:37:53.8526093Z /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] 2025-08-14T21:37:53.8528163Z /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] 2025-08-14T21:37:53.8538924Z /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] 2025-08-14T21:37:53.8560833Z /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] 2025-08-14T21:37:53.8572137Z /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] 2025-08-14T21:37:53.8574977Z /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] 2025-08-14T21:37:53.8577495Z /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] 2025-08-14T21:37:53.8580806Z /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] 2025-08-14T21:37:53.8597673Z /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] 2025-08-14T21:37:53.8604176Z /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] 2025-08-14T21:37:53.8613935Z /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] 2025-08-14T21:37:53.8622738Z /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] 2025-08-14T21:37:53.8632479Z /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] 2025-08-14T21:37:53.8645398Z /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] 2025-08-14T21:37:53.8661883Z /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] 2025-08-14T21:37:53.8680600Z /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] 2025-08-14T21:37:53.8701787Z /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] 2025-08-14T21:37:53.8720726Z /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] 2025-08-14T21:37:53.8724118Z /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] 2025-08-14T21:37:53.8755569Z /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] 2025-08-14T21:37:53.8768605Z /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] 2025-08-14T21:37:53.8773202Z /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] 2025-08-14T21:37:53.8782246Z /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] 2025-08-14T21:37:53.8788282Z /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] 2025-08-14T21:37:53.8796029Z /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] 2025-08-14T21:37:53.8805362Z /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] 2025-08-14T21:37:53.8836430Z /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] 2025-08-14T21:37:53.8848382Z /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] 2025-08-14T21:37:53.8850119Z /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] 2025-08-14T21:37:53.8864088Z /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] 2025-08-14T21:37:53.8871347Z /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] 2025-08-14T21:37:53.8876124Z /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] 2025-08-14T21:37:53.8893738Z /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] 2025-08-14T21:37:53.8898229Z /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] 2025-08-14T21:37:53.8904684Z /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] 2025-08-14T21:37:53.8907483Z /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] 2025-08-14T21:37:53.8912294Z /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] 2025-08-14T21:37:53.8915964Z /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] 2025-08-14T21:37:53.8921860Z /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] 2025-08-14T21:37:53.8926592Z /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] 2025-08-14T21:37:53.8932957Z /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] 2025-08-14T21:37:53.8941771Z /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] 2025-08-14T21:37:53.8945706Z /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] 2025-08-14T21:37:53.8967332Z /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] 2025-08-14T21:37:53.8984460Z /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] 2025-08-14T21:37:53.8995364Z /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] 2025-08-14T21:37:53.9003496Z /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] 2025-08-14T21:37:53.9011295Z /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] 2025-08-14T21:37:53.9017965Z /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] 2025-08-14T21:37:53.9025217Z /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] 2025-08-14T21:37:53.9034124Z /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] 2025-08-14T21:37:53.9041285Z /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] 2025-08-14T21:37:53.9048675Z /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] 2025-08-14T21:37:53.9053745Z /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] 2025-08-14T21:37:53.9067787Z /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] 2025-08-14T21:37:53.9074058Z /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] 2025-08-14T21:37:53.9085513Z /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] 2025-08-14T21:37:53.9094071Z /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] 2025-08-14T21:37:53.9126488Z /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] 2025-08-14T21:37:53.9136906Z /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] 2025-08-14T21:37:53.9150496Z /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] 2025-08-14T21:37:53.9152439Z /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] 2025-08-14T21:37:53.9165392Z /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] 2025-08-14T21:37:53.9179506Z /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] 2025-08-14T21:37:53.9183413Z /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] 2025-08-14T21:37:53.9187433Z /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] 2025-08-14T21:37:53.9188392Z /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] 2025-08-14T21:37:53.9206773Z /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] 2025-08-14T21:37:53.9214990Z /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] 2025-08-14T21:37:53.9288526Z /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] 2025-08-14T21:37:53.9293711Z /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] 2025-08-14T21:37:53.9349237Z /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] 2025-08-14T21:37:53.9353886Z /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] 2025-08-14T21:37:53.9367767Z /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] 2025-08-14T21:37:53.9380594Z /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] 2025-08-14T21:37:53.9396442Z /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] 2025-08-14T21:37:53.9424015Z /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] 2025-08-14T21:37:53.9431561Z /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] 2025-08-14T21:37:53.9451213Z /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] 2025-08-14T21:37:53.9457992Z /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] 2025-08-14T21:37:53.9464606Z /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] 2025-08-14T21:37:53.9468200Z /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] 2025-08-14T21:37:53.9521962Z /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] 2025-08-14T21:37:53.9525540Z /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] 2025-08-14T21:37:53.9533949Z /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] 2025-08-14T21:37:53.9547470Z /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] 2025-08-14T21:37:53.9550613Z /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] 2025-08-14T21:37:53.9551514Z /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] 2025-08-14T21:37:53.9565010Z /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] 2025-08-14T21:37:53.9574349Z /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] 2025-08-14T21:37:53.9581053Z /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] 2025-08-14T21:37:53.9626728Z /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] 2025-08-14T21:37:53.9630376Z /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] 2025-08-14T21:37:53.9670856Z /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] 2025-08-14T21:37:53.9690911Z /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] 2025-08-14T21:37:53.9702978Z /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] 2025-08-14T21:37:53.9708643Z /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] 2025-08-14T21:37:53.9712601Z /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] 2025-08-14T21:37:53.9720271Z /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] 2025-08-14T21:37:53.9726828Z /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] 2025-08-14T21:37:53.9736895Z /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] 2025-08-14T21:37:53.9744106Z /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] 2025-08-14T21:37:53.9748778Z /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] 2025-08-14T21:37:53.9755751Z /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] 2025-08-14T21:37:53.9763524Z /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] 2025-08-14T21:37:53.9775392Z /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] 2025-08-14T21:37:53.9783191Z /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] 2025-08-14T21:37:53.9803142Z /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] 2025-08-14T21:37:53.9813444Z /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] 2025-08-14T21:37:53.9829492Z /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] 2025-08-14T21:37:53.9953491Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/docs/Doxyfile.in -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/docs/Doxyfile.in [skipped, no changes] 2025-08-14T21:37:53.9977441Z /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] 2025-08-14T21:37:53.9984072Z /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] 2025-08-14T21:37:53.9987033Z /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] 2025-08-14T21:37:53.9995761Z /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] 2025-08-14T21:37:54.0002825Z /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] 2025-08-14T21:37:54.0005574Z /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] 2025-08-14T21:37:54.0016520Z /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] 2025-08-14T21:37:54.0021823Z /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] 2025-08-14T21:37:54.0025443Z /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] 2025-08-14T21:37:54.0030199Z /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] 2025-08-14T21:37:54.0035384Z /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] 2025-08-14T21:37:54.0045878Z /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] 2025-08-14T21:37:54.0088802Z /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] 2025-08-14T21:37:54.0094008Z /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] 2025-08-14T21:37:54.0101721Z /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] 2025-08-14T21:37:54.0103541Z /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] 2025-08-14T21:37:54.0117013Z /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] 2025-08-14T21:37:54.0117680Z /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] 2025-08-14T21:37:54.0127352Z /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] 2025-08-14T21:37:54.0135950Z /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] 2025-08-14T21:37:54.0141994Z /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] 2025-08-14T21:37:54.0149990Z /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] 2025-08-14T21:37:54.0150804Z /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] 2025-08-14T21:37:54.0156767Z /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] 2025-08-14T21:37:54.0163074Z /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] 2025-08-14T21:37:54.0175344Z /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] 2025-08-14T21:37:54.0180276Z /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] 2025-08-14T21:37:54.0193868Z /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] 2025-08-14T21:37:54.0201346Z /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] 2025-08-14T21:37:54.0218368Z /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] 2025-08-14T21:37:54.0235786Z /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] 2025-08-14T21:37:54.0239168Z /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] 2025-08-14T21:37:54.0241056Z /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] 2025-08-14T21:37:54.0273015Z /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] 2025-08-14T21:37:54.0290850Z /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] 2025-08-14T21:37:54.0311854Z /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] 2025-08-14T21:37:54.0318238Z /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] 2025-08-14T21:37:54.0334618Z /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] 2025-08-14T21:37:54.0340934Z /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] 2025-08-14T21:37:54.0348672Z /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] 2025-08-14T21:37:54.0357070Z /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] 2025-08-14T21:37:54.0366061Z /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] 2025-08-14T21:37:54.0371567Z /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] 2025-08-14T21:37:54.0423720Z /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] 2025-08-14T21:37:54.0447792Z /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] 2025-08-14T21:37:54.0463068Z /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] 2025-08-14T21:37:54.0464463Z /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] 2025-08-14T21:37:54.0472800Z /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] 2025-08-14T21:37:54.0476059Z /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] 2025-08-14T21:37:54.0479869Z /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] 2025-08-14T21:37:54.0484926Z /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] 2025-08-14T21:37:54.0489496Z /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] 2025-08-14T21:37:54.0504897Z /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] 2025-08-14T21:37:54.0510270Z /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] 2025-08-14T21:37:54.0539178Z /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] 2025-08-14T21:37:54.0541099Z /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] 2025-08-14T21:37:54.0547578Z /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] 2025-08-14T21:37:54.0555536Z /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] 2025-08-14T21:37:54.0562504Z /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] 2025-08-14T21:37:54.0564410Z /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] 2025-08-14T21:37:54.0573157Z /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] 2025-08-14T21:37:54.0577608Z /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] 2025-08-14T21:37:54.0580636Z /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] 2025-08-14T21:37:54.0607988Z /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] 2025-08-14T21:37:54.0612427Z /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] 2025-08-14T21:37:54.0613540Z /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] 2025-08-14T21:37:54.0616184Z /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] 2025-08-14T21:37:54.0619195Z /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] 2025-08-14T21:37:54.0622765Z /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] 2025-08-14T21:37:54.0631107Z /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] 2025-08-14T21:37:54.0640997Z /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] 2025-08-14T21:37:54.0657649Z /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] 2025-08-14T21:37:54.0662527Z /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] 2025-08-14T21:37:54.0719239Z /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] 2025-08-14T21:37:54.0719906Z /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] 2025-08-14T21:37:54.0720574Z /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] 2025-08-14T21:37:54.0729886Z /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] 2025-08-14T21:37:54.0730455Z /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] 2025-08-14T21:37:54.0733128Z /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] 2025-08-14T21:37:54.0736140Z /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] 2025-08-14T21:37:54.0745446Z /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] 2025-08-14T21:37:54.0752970Z /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] 2025-08-14T21:37:54.0756795Z /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] 2025-08-14T21:37:54.0761648Z /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] 2025-08-14T21:37:54.0766127Z /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] 2025-08-14T21:37:54.0777987Z /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] 2025-08-14T21:37:54.0822048Z /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] 2025-08-14T21:37:54.0827043Z /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] 2025-08-14T21:37:54.0834998Z /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] 2025-08-14T21:37:54.0836689Z /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] 2025-08-14T21:37:54.0841490Z /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] 2025-08-14T21:37:54.0844632Z /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] 2025-08-14T21:37:54.0858567Z /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] 2025-08-14T21:37:54.0867066Z /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] 2025-08-14T21:37:54.0873224Z /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] 2025-08-14T21:37:54.0881203Z /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] 2025-08-14T21:37:54.0883630Z /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] 2025-08-14T21:37:54.0888121Z /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] 2025-08-14T21:37:54.0894836Z /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] 2025-08-14T21:37:54.0906970Z /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] 2025-08-14T21:37:54.0911981Z /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] 2025-08-14T21:37:54.0922957Z /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] 2025-08-14T21:37:54.0933383Z /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] 2025-08-14T21:37:54.0950709Z /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] 2025-08-14T21:37:54.0968389Z /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] 2025-08-14T21:37:54.0971567Z /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] 2025-08-14T21:37:54.0973449Z /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] 2025-08-14T21:37:54.1005532Z /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] 2025-08-14T21:37:54.1023745Z /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] 2025-08-14T21:37:54.1044879Z /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] 2025-08-14T21:37:54.1051375Z /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] 2025-08-14T21:37:54.1065625Z /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] 2025-08-14T21:37:54.1074057Z /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] 2025-08-14T21:37:54.1081239Z /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] 2025-08-14T21:37:54.1089963Z /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] 2025-08-14T21:37:54.1099444Z /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] 2025-08-14T21:37:54.1105260Z /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] 2025-08-14T21:37:54.1156569Z /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] 2025-08-14T21:37:54.1180552Z /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] 2025-08-14T21:37:54.1195237Z /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] 2025-08-14T21:37:54.1196537Z /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] 2025-08-14T21:37:54.1202973Z /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] 2025-08-14T21:37:54.1208078Z /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] 2025-08-14T21:37:54.1211730Z /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] 2025-08-14T21:37:54.1216710Z /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] 2025-08-14T21:37:54.1221224Z /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] 2025-08-14T21:37:54.1236235Z /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] 2025-08-14T21:37:54.1241464Z /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] 2025-08-14T21:37:54.1269963Z /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] 2025-08-14T21:37:54.1273224Z /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] 2025-08-14T21:37:54.1278248Z /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] 2025-08-14T21:37:54.1286143Z /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] 2025-08-14T21:37:54.1293197Z /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] 2025-08-14T21:37:54.1294958Z /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] 2025-08-14T21:37:54.1303786Z /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] 2025-08-14T21:37:54.1307821Z /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] 2025-08-14T21:37:54.1310936Z /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] 2025-08-14T21:37:54.1338290Z /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] 2025-08-14T21:37:54.1342535Z /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] 2025-08-14T21:37:54.1345187Z /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] 2025-08-14T21:37:54.1346280Z /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] 2025-08-14T21:37:54.1349324Z /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] 2025-08-14T21:37:54.1352764Z /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] 2025-08-14T21:37:54.1361028Z /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] 2025-08-14T21:37:54.1370842Z /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] 2025-08-14T21:37:54.1387186Z /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] 2025-08-14T21:37:54.1392082Z /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] 2025-08-14T21:37:54.1412145Z /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] 2025-08-14T21:37:54.1417404Z /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] 2025-08-14T21:37:54.1421401Z /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] 2025-08-14T21:37:54.1515438Z /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] 2025-08-14T21:37:54.1533923Z /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] 2025-08-14T21:37:54.1541785Z /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] 2025-08-14T21:37:54.1591603Z /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] 2025-08-14T21:37:54.1593449Z /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] 2025-08-14T21:37:54.1611203Z /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] 2025-08-14T21:37:54.1619548Z /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] 2025-08-14T21:37:54.1632114Z /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] 2025-08-14T21:37:54.1641415Z /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] 2025-08-14T21:37:54.1659953Z /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] 2025-08-14T21:37:54.1660578Z /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] 2025-08-14T21:37:54.1662691Z /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] 2025-08-14T21:37:54.1670363Z /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] 2025-08-14T21:37:54.1749846Z /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] 2025-08-14T21:37:54.1781841Z /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] 2025-08-14T21:37:54.1784318Z /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] 2025-08-14T21:37:54.1796056Z /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] 2025-08-14T21:37:54.1813574Z /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] 2025-08-14T21:37:54.1825465Z /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] 2025-08-14T21:37:54.1838371Z /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] 2025-08-14T21:37:54.1846874Z /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] 2025-08-14T21:37:54.1857690Z /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] 2025-08-14T21:37:54.1859308Z /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] 2025-08-14T21:37:54.1865433Z /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] 2025-08-14T21:37:54.1871502Z /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] 2025-08-14T21:37:54.1872341Z /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] 2025-08-14T21:37:54.1878024Z /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] 2025-08-14T21:37:54.1931242Z /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] 2025-08-14T21:37:54.1942696Z /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] 2025-08-14T21:37:54.1946637Z /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] 2025-08-14T21:37:54.1968068Z /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] 2025-08-14T21:37:54.1981022Z /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] 2025-08-14T21:37:54.1989795Z /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] 2025-08-14T21:37:54.2061116Z /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] 2025-08-14T21:37:54.2067615Z /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] 2025-08-14T21:37:54.2072595Z /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] 2025-08-14T21:37:54.2076655Z /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] 2025-08-14T21:37:54.2101582Z /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] 2025-08-14T21:37:54.2118348Z /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] 2025-08-14T21:37:54.2159622Z /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] 2025-08-14T21:37:54.2175069Z /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] 2025-08-14T21:37:54.2256574Z /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] 2025-08-14T21:37:54.2262210Z /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] 2025-08-14T21:37:54.2278821Z /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] 2025-08-14T21:37:54.2306467Z /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] 2025-08-14T21:37:54.2358945Z /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] 2025-08-14T21:37:54.2359653Z /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] 2025-08-14T21:37:54.2368606Z /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] 2025-08-14T21:37:54.2387644Z /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] 2025-08-14T21:37:54.2409152Z /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] 2025-08-14T21:37:54.2415935Z /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] 2025-08-14T21:37:54.2447185Z /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] 2025-08-14T21:37:54.2453447Z /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] 2025-08-14T21:37:54.2455879Z /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] 2025-08-14T21:37:54.2456709Z /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] 2025-08-14T21:37:54.2471166Z /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] 2025-08-14T21:37:54.2494972Z /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] 2025-08-14T21:37:54.2509249Z /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] 2025-08-14T21:37:54.2526561Z /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] 2025-08-14T21:37:54.2543339Z /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] 2025-08-14T21:37:54.2553332Z /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] 2025-08-14T21:37:54.2566411Z /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] 2025-08-14T21:37:54.2578154Z /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] 2025-08-14T21:37:54.2590243Z /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] 2025-08-14T21:37:54.2593672Z /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] 2025-08-14T21:37:54.2597104Z /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] 2025-08-14T21:37:54.2602808Z /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] 2025-08-14T21:37:54.2606771Z /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] 2025-08-14T21:37:54.2610584Z /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] 2025-08-14T21:37:54.2613797Z /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] 2025-08-14T21:37:54.2635588Z /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] 2025-08-14T21:37:54.2655500Z /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] 2025-08-14T21:37:54.2656540Z /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] 2025-08-14T21:37:54.2676664Z /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] 2025-08-14T21:37:54.2710627Z /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] 2025-08-14T21:37:54.2739852Z /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] 2025-08-14T21:37:54.2754696Z /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] 2025-08-14T21:37:54.2765126Z /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] 2025-08-14T21:37:54.2780158Z /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] 2025-08-14T21:37:54.2782088Z /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] 2025-08-14T21:37:54.2809318Z /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] 2025-08-14T21:37:54.2815574Z /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] 2025-08-14T21:37:54.2842122Z /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] 2025-08-14T21:37:54.2870803Z /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] 2025-08-14T21:37:54.2876497Z /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] 2025-08-14T21:37:54.2899098Z /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] 2025-08-14T21:37:54.2902976Z /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] 2025-08-14T21:37:54.2984886Z /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] 2025-08-14T21:37:54.2998782Z /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] 2025-08-14T21:37:54.3031032Z /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] 2025-08-14T21:37:54.3042901Z /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] 2025-08-14T21:37:54.3046781Z /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] 2025-08-14T21:37:54.3089401Z /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] 2025-08-14T21:37:54.3090472Z /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] 2025-08-14T21:37:54.3120284Z /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] 2025-08-14T21:37:54.3121735Z /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] 2025-08-14T21:37:54.3122783Z /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] 2025-08-14T21:37:54.3123963Z /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] 2025-08-14T21:37:54.3139750Z /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] 2025-08-14T21:37:54.3146952Z /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] 2025-08-14T21:37:54.3156976Z /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] 2025-08-14T21:37:54.3166151Z /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] 2025-08-14T21:37:54.3170883Z /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] 2025-08-14T21:37:54.3178400Z /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] 2025-08-14T21:37:54.3195869Z /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] 2025-08-14T21:37:54.3210447Z /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] 2025-08-14T21:37:54.3217520Z /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] 2025-08-14T21:37:54.3224944Z /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] 2025-08-14T21:37:54.3231190Z /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] 2025-08-14T21:37:54.3246692Z /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] 2025-08-14T21:37:54.3319927Z /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] 2025-08-14T21:37:54.3350912Z /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] 2025-08-14T21:37:54.3351777Z /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] 2025-08-14T21:37:54.3352539Z /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] 2025-08-14T21:37:54.3354110Z /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] 2025-08-14T21:37:54.3355066Z /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] 2025-08-14T21:37:54.3355839Z /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] 2025-08-14T21:37:54.3356632Z /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] 2025-08-14T21:37:54.3357539Z /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] 2025-08-14T21:37:54.3363851Z /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] 2025-08-14T21:37:54.3380338Z /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] 2025-08-14T21:37:54.3382306Z /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] 2025-08-14T21:37:54.3404794Z /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] 2025-08-14T21:37:54.3413060Z /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] 2025-08-14T21:37:54.3440382Z /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] 2025-08-14T21:37:54.3489809Z /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] 2025-08-14T21:37:54.3491271Z /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] 2025-08-14T21:37:54.3492620Z /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] 2025-08-14T21:37:54.3494139Z /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] 2025-08-14T21:37:54.3510357Z /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] 2025-08-14T21:37:54.3512010Z /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] 2025-08-14T21:37:54.3513711Z /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] 2025-08-14T21:37:54.3524639Z /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] 2025-08-14T21:37:54.3528990Z /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] 2025-08-14T21:37:54.3532714Z /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] 2025-08-14T21:37:54.3626467Z /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] 2025-08-14T21:37:54.3644217Z /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] 2025-08-14T21:37:54.3651448Z /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] 2025-08-14T21:37:54.3700505Z /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] 2025-08-14T21:37:54.3701821Z /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] 2025-08-14T21:37:54.3719606Z /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] 2025-08-14T21:37:54.3726598Z /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] 2025-08-14T21:37:54.3737350Z /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] 2025-08-14T21:37:54.3742035Z /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] 2025-08-14T21:37:54.3748494Z /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] 2025-08-14T21:37:54.3753563Z /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] 2025-08-14T21:37:54.3761780Z /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] 2025-08-14T21:37:54.3769001Z /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] 2025-08-14T21:37:54.3851765Z /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] 2025-08-14T21:37:54.3883404Z /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] 2025-08-14T21:37:54.3885643Z /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] 2025-08-14T21:37:54.3896691Z /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] 2025-08-14T21:37:54.3915636Z /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] 2025-08-14T21:37:54.3925083Z /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] 2025-08-14T21:37:54.3937491Z /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] 2025-08-14T21:37:54.3945663Z /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] 2025-08-14T21:37:54.3956460Z /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] 2025-08-14T21:37:54.3957711Z /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] 2025-08-14T21:37:54.3963953Z /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] 2025-08-14T21:37:54.3969650Z /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] 2025-08-14T21:37:54.3970756Z /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] 2025-08-14T21:37:54.3975735Z /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] 2025-08-14T21:37:54.4030665Z /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] 2025-08-14T21:37:54.4051508Z /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] 2025-08-14T21:37:54.4057631Z /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] 2025-08-14T21:37:54.4060045Z /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] 2025-08-14T21:37:54.4068263Z /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] 2025-08-14T21:37:54.4074740Z /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] 2025-08-14T21:37:54.4077145Z /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] 2025-08-14T21:37:54.4085440Z /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] 2025-08-14T21:37:54.4092163Z /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] 2025-08-14T21:37:54.4095386Z /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] 2025-08-14T21:37:54.4101211Z /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] 2025-08-14T21:37:54.4103925Z /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] 2025-08-14T21:37:54.4114831Z /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] 2025-08-14T21:37:54.4157101Z /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] 2025-08-14T21:37:54.4161902Z /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] 2025-08-14T21:37:54.4169028Z /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] 2025-08-14T21:37:54.4170379Z /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] 2025-08-14T21:37:54.4174518Z /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] 2025-08-14T21:37:54.4177632Z /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] 2025-08-14T21:37:54.4190496Z /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] 2025-08-14T21:37:54.4198317Z /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] 2025-08-14T21:37:54.4203902Z /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] 2025-08-14T21:37:54.4211505Z /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] 2025-08-14T21:37:54.4212161Z /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] 2025-08-14T21:37:54.4217728Z /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] 2025-08-14T21:37:54.4223593Z /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] 2025-08-14T21:37:54.4235216Z /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] 2025-08-14T21:37:54.4239656Z /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] 2025-08-14T21:37:54.4250089Z /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] 2025-08-14T21:37:54.4260095Z /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] 2025-08-14T21:37:54.4276381Z /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] 2025-08-14T21:37:54.4293236Z /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] 2025-08-14T21:37:54.4295950Z /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] 2025-08-14T21:37:54.4297349Z /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] 2025-08-14T21:37:54.4328299Z /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] 2025-08-14T21:37:54.4345646Z /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] 2025-08-14T21:37:54.4365705Z /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] 2025-08-14T21:37:54.4371522Z /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] 2025-08-14T21:37:54.4385414Z /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] 2025-08-14T21:37:54.4393262Z /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] 2025-08-14T21:37:54.4400089Z /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] 2025-08-14T21:37:54.4408155Z /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] 2025-08-14T21:37:54.4417060Z /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] 2025-08-14T21:37:54.4422020Z /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] 2025-08-14T21:37:54.4473145Z /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] 2025-08-14T21:37:54.4496643Z /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] 2025-08-14T21:37:54.4511321Z /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] 2025-08-14T21:37:54.4511936Z /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] 2025-08-14T21:37:54.4518206Z /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] 2025-08-14T21:37:54.4522979Z /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] 2025-08-14T21:37:54.4526107Z /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] 2025-08-14T21:37:54.4530746Z /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] 2025-08-14T21:37:54.4534826Z /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] 2025-08-14T21:37:54.4549517Z /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] 2025-08-14T21:37:54.4554265Z /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] 2025-08-14T21:37:54.4582783Z /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] 2025-08-14T21:37:54.4583405Z /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] 2025-08-14T21:37:54.4589754Z /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] 2025-08-14T21:37:54.4597332Z /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] 2025-08-14T21:37:54.4603788Z /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] 2025-08-14T21:37:54.4605127Z /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] 2025-08-14T21:37:54.4613577Z /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] 2025-08-14T21:37:54.4617597Z /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] 2025-08-14T21:37:54.4620121Z /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] 2025-08-14T21:37:54.4647086Z /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] 2025-08-14T21:37:54.4650516Z /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] 2025-08-14T21:37:54.4651464Z /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] 2025-08-14T21:37:54.4653516Z /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] 2025-08-14T21:37:54.4656038Z /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] 2025-08-14T21:37:54.4661840Z /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] 2025-08-14T21:37:54.4667292Z /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] 2025-08-14T21:37:54.4676660Z /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] 2025-08-14T21:37:54.4692643Z /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] 2025-08-14T21:37:54.4696887Z /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] 2025-08-14T21:37:54.4716562Z /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] 2025-08-14T21:37:54.4724287Z /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] 2025-08-14T21:37:54.4726880Z /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] 2025-08-14T21:37:54.4727619Z /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] 2025-08-14T21:37:54.4742325Z /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] 2025-08-14T21:37:54.4768334Z /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] 2025-08-14T21:37:54.4781156Z /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] 2025-08-14T21:37:54.4798834Z /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] 2025-08-14T21:37:54.4815518Z /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] 2025-08-14T21:37:54.4826172Z /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] 2025-08-14T21:37:54.4837674Z /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] 2025-08-14T21:37:54.4850833Z /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] 2025-08-14T21:37:54.4863496Z /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] 2025-08-14T21:37:54.4866961Z /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] 2025-08-14T21:37:54.4870386Z /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] 2025-08-14T21:37:54.4876297Z /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] 2025-08-14T21:37:54.4882502Z /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] 2025-08-14T21:37:54.4884301Z /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] 2025-08-14T21:37:54.4887630Z /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] 2025-08-14T21:37:54.4910025Z /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] 2025-08-14T21:37:54.4928628Z /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] 2025-08-14T21:37:54.4930923Z /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] 2025-08-14T21:37:54.4952109Z /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] 2025-08-14T21:37:54.4986704Z /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] 2025-08-14T21:37:54.5016108Z /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] 2025-08-14T21:37:54.5031592Z /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] 2025-08-14T21:37:54.5041853Z /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] 2025-08-14T21:37:54.5056819Z /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] 2025-08-14T21:37:54.5059155Z /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] 2025-08-14T21:37:54.5086424Z /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] 2025-08-14T21:37:54.5092674Z /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] 2025-08-14T21:37:54.5119894Z /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] 2025-08-14T21:37:54.5148166Z /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] 2025-08-14T21:37:54.5154079Z /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] 2025-08-14T21:37:54.5176930Z /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] 2025-08-14T21:37:54.5180817Z /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] 2025-08-14T21:37:54.5263321Z /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] 2025-08-14T21:37:54.5277297Z /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] 2025-08-14T21:37:54.5309742Z /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] 2025-08-14T21:37:54.5321833Z /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] 2025-08-14T21:37:54.5327262Z /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] 2025-08-14T21:37:54.5347842Z /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] 2025-08-14T21:37:54.5354908Z /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] 2025-08-14T21:37:54.5360659Z /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] 2025-08-14T21:37:54.5374014Z /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] 2025-08-14T21:37:54.5376186Z /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] 2025-08-14T21:37:54.5376785Z Successfully preprocessed all matching files. 2025-08-14T21:37:54.5391968Z Total number of unsupported CUDA function calls: 0 2025-08-14T21:37:54.5392136Z 2025-08-14T21:37:54.5392142Z 2025-08-14T21:37:54.5392267Z Total number of replaced kernel launches: 233 2025-08-14T21:37:54.9189237Z  2025-08-14T21:37:54.9189604Z  2025-08-14T21:37:54.9190000Z ================================================================================ 2025-08-14T21:37:54.9190425Z HIPify Sources 2025-08-14T21:37:54.9190717Z   2025-08-14T21:37:54.9190998Z CUDA_SOURCE_DIR: 2025-08-14T21:37:54.9191404Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:54.9191787Z   2025-08-14T21:37:54.9192055Z HEADER_INCLUDE_DIR: 2025-08-14T21:37:54.9192495Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:54.9193014Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src 2025-08-14T21:37:54.9193488Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:54.9194061Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/example 2025-08-14T21:37:54.9194715Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai 2025-08-14T21:37:54.9195267Z ================================================================================ 2025-08-14T21:37:54.9195927Z  2025-08-14T21:37:54.9196196Z -- Adding merge_pooled_embeddings sources 2025-08-14T21:37:54.9199277Z -- Writing tmp_x858xGHXJow2Xgvr into file - file_tmp_x858xGHXJow2Xgvr.txt 2025-08-14T21:37:54.9452848Z  2025-08-14T21:37:54.9453131Z  2025-08-14T21:37:54.9453536Z ================================================================================ 2025-08-14T21:37:54.9454122Z GPU CPP Library Target: fbgemm_gpu_tbe_cache (SHARED) 2025-08-14T21:37:54.9454543Z   2025-08-14T21:37:54.9454942Z CPU_SRCS: 2025-08-14T21:37:54.9455610Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_populate_byte.cpp 2025-08-14T21:37:54.9456585Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/linearize_cache_indices.cpp 2025-08-14T21:37:54.9457263Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_populate_byte.cpp 2025-08-14T21:37:54.9457708Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lxu_cache.cpp 2025-08-14T21:37:54.9463316Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/split_embeddings_cache_ops.cpp 2025-08-14T21:37:54.9463622Z   2025-08-14T21:37:54.9463755Z GPU_SRCS: 2025-08-14T21:37:54.9464054Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_find.cu 2025-08-14T21:37:54.9464484Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_populate.cu 2025-08-14T21:37:54.9464934Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_populate_byte.cu 2025-08-14T21:37:54.9465386Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/linearize_cache_indices.cu 2025-08-14T21:37:54.9465812Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_find.cu 2025-08-14T21:37:54.9466230Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_populate.cu 2025-08-14T21:37:54.9466678Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_populate_byte.cu 2025-08-14T21:37:54.9467255Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lxu_cache.cu 2025-08-14T21:37:54.9467742Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/reset_weight_momentum.cu 2025-08-14T21:37:54.9468311Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/split_embeddings_cache_ops.cu 2025-08-14T21:37:54.9468543Z   2025-08-14T21:37:54.9468662Z CUDA_SPECIFIC_SRCS: 2025-08-14T21:37:54.9468778Z  2025-08-14T21:37:54.9468873Z   2025-08-14T21:37:54.9468976Z HIP_SPECIFIC_SRCS: 2025-08-14T21:37:54.9469089Z  2025-08-14T21:37:54.9469180Z   2025-08-14T21:37:54.9469276Z OTHER_SRCS: 2025-08-14T21:37:54.9469379Z  2025-08-14T21:37:54.9469473Z   2025-08-14T21:37:54.9469573Z CC_FLAGS: 2025-08-14T21:37:54.9469674Z  2025-08-14T21:37:54.9469762Z   2025-08-14T21:37:54.9469857Z NVCC_FLAGS: 2025-08-14T21:37:54.9469986Z --expt-relaxed-constexpr 2025-08-14T21:37:54.9470137Z -D__CUDA_NO_HALF_OPERATORS__ 2025-08-14T21:37:54.9470289Z -D__CUDA_NO_BFLOAT16_CONVERSIONS__ 2025-08-14T21:37:54.9470442Z -D__CUDA_NO_HALF2_OPERATORS__ 2025-08-14T21:37:54.9470571Z   2025-08-14T21:37:54.9470669Z HIPCC_FLAGS: 2025-08-14T21:37:54.9470775Z  2025-08-14T21:37:54.9470862Z   2025-08-14T21:37:54.9470964Z INCLUDE_DIRS: 2025-08-14T21:37:54.9471132Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:54.9471330Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:54.9471520Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:54.9471730Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:54.9472020Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:54.9472310Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:54.9472595Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src 2025-08-14T21:37:54.9472862Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cpuinfo/include 2025-08-14T21:37:54.9473130Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/include 2025-08-14T21:37:54.9473420Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/tools/util/include 2025-08-14T21:37:54.9473723Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/include 2025-08-14T21:37:54.9474047Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/library/include 2025-08-14T21:37:54.9474336Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/json/include 2025-08-14T21:37:54.9474517Z   2025-08-14T21:37:54.9474629Z Selected Source Files: 2025-08-14T21:37:54.9474889Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_populate_byte.cpp 2025-08-14T21:37:54.9475257Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/linearize_cache_indices.cpp 2025-08-14T21:37:54.9475623Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_populate_byte.cpp 2025-08-14T21:37:54.9475959Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lxu_cache.cpp 2025-08-14T21:37:54.9476310Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/split_embeddings_cache_ops.cpp 2025-08-14T21:37:54.9476658Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_find.cu 2025-08-14T21:37:54.9476992Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_populate.cu 2025-08-14T21:37:54.9477350Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_populate_byte.cu 2025-08-14T21:37:54.9477752Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/linearize_cache_indices.cu 2025-08-14T21:37:54.9478161Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_find.cu 2025-08-14T21:37:54.9479892Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_populate.cu 2025-08-14T21:37:54.9480238Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_populate_byte.cu 2025-08-14T21:37:54.9480561Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lxu_cache.cu 2025-08-14T21:37:54.9480873Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/reset_weight_momentum.cu 2025-08-14T21:37:54.9481211Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/split_embeddings_cache_ops.cu 2025-08-14T21:37:54.9481431Z   2025-08-14T21:37:54.9481534Z HIPified Source Files: 2025-08-14T21:37:54.9481782Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_populate_byte_hip.cpp 2025-08-14T21:37:54.9482143Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/linearize_cache_indices_hip.cpp 2025-08-14T21:37:54.9482496Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_populate_byte_hip.cpp 2025-08-14T21:37:54.9482826Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lxu_cache_hip.cpp 2025-08-14T21:37:54.9484199Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/split_embeddings_cache_ops_hip.cpp 2025-08-14T21:37:54.9484541Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_find.hip 2025-08-14T21:37:54.9484859Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_populate.hip 2025-08-14T21:37:54.9485246Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_populate_byte.hip 2025-08-14T21:37:54.9485587Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/linearize_cache_indices.hip 2025-08-14T21:37:54.9485911Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_find.hip 2025-08-14T21:37:54.9486228Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_populate.hip 2025-08-14T21:37:54.9486559Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_populate_byte.hip 2025-08-14T21:37:54.9486873Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lxu_cache.hip 2025-08-14T21:37:54.9487188Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/reset_weight_momentum.hip 2025-08-14T21:37:54.9487529Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/split_embeddings_cache_ops.hip 2025-08-14T21:37:54.9488846Z   2025-08-14T21:37:54.9488954Z Library Dependencies: 2025-08-14T21:37:54.9489068Z torch 2025-08-14T21:37:54.9489166Z torch_library 2025-08-14T21:37:54.9489353Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:54.9489520Z   2025-08-14T21:37:54.9489614Z Output Library: 2025-08-14T21:37:54.9489734Z fbgemm_gpu_tbe_cache 2025-08-14T21:37:54.9489843Z   2025-08-14T21:37:54.9489943Z Destination Directory: 2025-08-14T21:37:54.9490057Z fbgemm_gpu 2025-08-14T21:37:54.9491112Z ================================================================================ 2025-08-14T21:37:54.9491244Z  2025-08-14T21:37:55.0053011Z -- Writing tmp_pNeI986iJf9nlS0D into file - file_tmp_pNeI986iJf9nlS0D.txt 2025-08-14T21:37:55.0324956Z  2025-08-14T21:37:55.0325277Z  2025-08-14T21:37:55.0325664Z ================================================================================ 2025-08-14T21:37:55.0326290Z GPU CPP Library Target: fbgemm_gpu_tbe_inference (SHARED) 2025-08-14T21:37:55.0326725Z   2025-08-14T21:37:55.0334342Z CPU_SRCS: 2025-08-14T21:37:55.0334616Z codegen/inference/embedding_forward_quantized_host_cpu.cpp 2025-08-14T21:37:55.0335227Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_unweighted_codegen_cpu.cpp 2025-08-14T21:37:55.0335829Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_weighted_codegen_cpu.cpp 2025-08-14T21:37:55.0336163Z   2025-08-14T21:37:55.0336297Z GPU_SRCS: 2025-08-14T21:37:55.0336491Z codegen/inference/embedding_forward_quantized_host.cpp 2025-08-14T21:37:55.0336766Z codegen/inference/embedding_forward_quantized_split_lookup.cu 2025-08-14T21:37:55.0337275Z /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 2025-08-14T21:37:55.0338039Z /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 2025-08-14T21:37:55.0338696Z 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/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 2025-08-14T21:37:55.0348674Z /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 2025-08-14T21:37:55.0349204Z /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 2025-08-14T21:37:55.0349734Z /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 2025-08-14T21:37:55.0350040Z   2025-08-14T21:37:55.0350153Z CUDA_SPECIFIC_SRCS: 2025-08-14T21:37:55.0350275Z  2025-08-14T21:37:55.0350367Z   2025-08-14T21:37:55.0350479Z HIP_SPECIFIC_SRCS: 2025-08-14T21:37:55.0350594Z  2025-08-14T21:37:55.0350687Z   2025-08-14T21:37:55.0352273Z OTHER_SRCS: 2025-08-14T21:37:55.0352379Z  2025-08-14T21:37:55.0352461Z   2025-08-14T21:37:55.0352548Z CC_FLAGS: 2025-08-14T21:37:55.0352641Z  2025-08-14T21:37:55.0352725Z   2025-08-14T21:37:55.0352813Z NVCC_FLAGS: 2025-08-14T21:37:55.0352936Z --expt-relaxed-constexpr 2025-08-14T21:37:55.0353072Z -D__CUDA_NO_HALF_OPERATORS__ 2025-08-14T21:37:55.0353217Z -D__CUDA_NO_BFLOAT16_CONVERSIONS__ 2025-08-14T21:37:55.0353359Z -D__CUDA_NO_HALF2_OPERATORS__ 2025-08-14T21:37:55.0354499Z   2025-08-14T21:37:55.0354652Z HIPCC_FLAGS: 2025-08-14T21:37:55.0354750Z  2025-08-14T21:37:55.0354832Z   2025-08-14T21:37:55.0354921Z INCLUDE_DIRS: 2025-08-14T21:37:55.0355077Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:55.0355265Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:55.0355444Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:55.0355633Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:55.0355850Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:55.0356121Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:55.0357340Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src 2025-08-14T21:37:55.0357590Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cpuinfo/include 2025-08-14T21:37:55.0357836Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/include 2025-08-14T21:37:55.0358173Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/tools/util/include 2025-08-14T21:37:55.0358454Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/include 2025-08-14T21:37:55.0358748Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/library/include 2025-08-14T21:37:55.0359017Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/json/include 2025-08-14T21:37:55.0359183Z   2025-08-14T21:37:55.0359283Z Selected Source Files: 2025-08-14T21:37:55.0359455Z codegen/inference/embedding_forward_quantized_host_cpu.cpp 2025-08-14T21:37:55.0359813Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_unweighted_codegen_cpu.cpp 2025-08-14T21:37:55.0361212Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_weighted_codegen_cpu.cpp 2025-08-14T21:37:55.0361540Z codegen/inference/embedding_forward_quantized_host.cpp 2025-08-14T21:37:55.0361755Z codegen/inference/embedding_forward_quantized_split_lookup.cu 2025-08-14T21:37:55.0362193Z /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 2025-08-14T21:37:55.0362712Z 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Files: 2025-08-14T21:37:55.0375418Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/inference/embedding_forward_quantized_host_cpu_hip.cpp 2025-08-14T21:37:55.0375845Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_unweighted_codegen_cpu_hip.cpp 2025-08-14T21:37:55.0376312Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_weighted_codegen_cpu_hip.cpp 2025-08-14T21:37:55.0376714Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/inference/embedding_forward_quantized_host_hip.cpp 2025-08-14T21:37:55.0377078Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/inference/embedding_forward_quantized_split_lookup.hip 2025-08-14T21:37:55.0377532Z /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 2025-08-14T21:37:55.0379063Z /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 2025-08-14T21:37:55.0379580Z /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 2025-08-14T21:37:55.0380097Z /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 2025-08-14T21:37:55.0380662Z /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 2025-08-14T21:37:55.0381185Z /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 2025-08-14T21:37:55.0381715Z /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 2025-08-14T21:37:55.0382254Z /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 2025-08-14T21:37:55.0382791Z /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 2025-08-14T21:37:55.0383330Z /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 2025-08-14T21:37:55.0383879Z /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 2025-08-14T21:37:55.0384417Z /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 2025-08-14T21:37:55.0385870Z /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 2025-08-14T21:37:55.0386395Z /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 2025-08-14T21:37:55.0386915Z /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 2025-08-14T21:37:55.0387499Z /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 2025-08-14T21:37:55.0388086Z /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 2025-08-14T21:37:55.0388610Z /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 2025-08-14T21:37:55.0389118Z /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 2025-08-14T21:37:55.0389627Z /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 2025-08-14T21:37:55.0390146Z /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 2025-08-14T21:37:55.0390430Z   2025-08-14T21:37:55.0391449Z Library Dependencies: 2025-08-14T21:37:55.0391567Z torch 2025-08-14T21:37:55.0391664Z torch_library 2025-08-14T21:37:55.0391845Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:55.0392015Z asmjit 2025-08-14T21:37:55.0392107Z fbgemm 2025-08-14T21:37:55.0392214Z fbgemm_gpu_tbe_cache 2025-08-14T21:37:55.0392332Z fbgemm_gpu_config 2025-08-14T21:37:55.0392433Z   2025-08-14T21:37:55.0392523Z Output Library: 2025-08-14T21:37:55.0392639Z fbgemm_gpu_tbe_inference 2025-08-14T21:37:55.0393642Z   2025-08-14T21:37:55.0393801Z Destination Directory: 2025-08-14T21:37:55.0393914Z fbgemm_gpu 2025-08-14T21:37:55.0394048Z ================================================================================ 2025-08-14T21:37:55.0394184Z  2025-08-14T21:37:55.2993784Z -- Writing tmp_ACS4QjGimJ9a4cfr into file - file_tmp_ACS4QjGimJ9a4cfr.txt 2025-08-14T21:37:55.3192458Z  2025-08-14T21:37:55.3192825Z  2025-08-14T21:37:55.3193231Z ================================================================================ 2025-08-14T21:37:55.3193786Z GPU CPP Library Target: fbgemm_gpu_config (SHARED) 2025-08-14T21:37:55.3194186Z   2025-08-14T21:37:55.3194437Z CPU_SRCS: 2025-08-14T21:37:55.3194784Z src/config/feature_gates.cpp 2025-08-14T21:37:55.3195126Z   2025-08-14T21:37:55.3195376Z GPU_SRCS: 2025-08-14T21:37:55.3195639Z  2025-08-14T21:37:55.3195874Z   2025-08-14T21:37:55.3196147Z CUDA_SPECIFIC_SRCS: 2025-08-14T21:37:55.3196490Z  2025-08-14T21:37:55.3196722Z   2025-08-14T21:37:55.3196987Z HIP_SPECIFIC_SRCS: 2025-08-14T21:37:55.3197283Z  2025-08-14T21:37:55.3197425Z   2025-08-14T21:37:55.3197640Z OTHER_SRCS: 2025-08-14T21:37:55.3197825Z  2025-08-14T21:37:55.3198105Z   2025-08-14T21:37:55.3198273Z CC_FLAGS: 2025-08-14T21:37:55.3198447Z  2025-08-14T21:37:55.3198603Z   2025-08-14T21:37:55.3198760Z NVCC_FLAGS: 2025-08-14T21:37:55.3205222Z  2025-08-14T21:37:55.3205395Z   2025-08-14T21:37:55.3205574Z HIPCC_FLAGS: 2025-08-14T21:37:55.3205756Z  2025-08-14T21:37:55.3205904Z   2025-08-14T21:37:55.3206065Z INCLUDE_DIRS: 2025-08-14T21:37:55.3206346Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:55.3206673Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:55.3206991Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:55.3207340Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:55.3207635Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:55.3208393Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:55.3208742Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src 2025-08-14T21:37:55.3209066Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cpuinfo/include 2025-08-14T21:37:55.3209392Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/include 2025-08-14T21:37:55.3209744Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/tools/util/include 2025-08-14T21:37:55.3210110Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/include 2025-08-14T21:37:55.3210499Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/library/include 2025-08-14T21:37:55.3210863Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/json/include 2025-08-14T21:37:55.3211082Z   2025-08-14T21:37:55.3211216Z Selected Source Files: 2025-08-14T21:37:55.3211387Z src/config/feature_gates.cpp 2025-08-14T21:37:55.3211540Z   2025-08-14T21:37:55.3211670Z HIPified Source Files: 2025-08-14T21:37:55.3211918Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/config/feature_gates.cpp 2025-08-14T21:37:55.3212141Z   2025-08-14T21:37:55.3213938Z Library Dependencies: 2025-08-14T21:37:55.3214098Z torch 2025-08-14T21:37:55.3214228Z torch_library 2025-08-14T21:37:55.3214460Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:55.3214770Z   2025-08-14T21:37:55.3214894Z Output Library: 2025-08-14T21:37:55.3215042Z fbgemm_gpu_config 2025-08-14T21:37:55.3215172Z   2025-08-14T21:37:55.3215304Z Destination Directory: 2025-08-14T21:37:55.3215591Z fbgemm_gpu 2025-08-14T21:37:55.3215769Z ================================================================================ 2025-08-14T21:37:55.3217234Z  2025-08-14T21:37:55.3217430Z -- Writing tmp_ajApgUj5Xjze1aHW into file - file_tmp_ajApgUj5Xjze1aHW.txt 2025-08-14T21:37:55.3402629Z  2025-08-14T21:37:55.3402769Z  2025-08-14T21:37:55.3403211Z ================================================================================ 2025-08-14T21:37:55.3403541Z GPU CPP Library Target: fbgemm_gpu_tbe_utils (SHARED) 2025-08-14T21:37:55.3403732Z   2025-08-14T21:37:55.3403854Z CPU_SRCS: 2025-08-14T21:37:55.3404058Z src/split_embeddings_utils/split_embeddings_utils_cpu.cpp 2025-08-14T21:37:55.3404325Z src/split_embeddings_utils/split_embeddings_utils_meta.cpp 2025-08-14T21:37:55.3407450Z   2025-08-14T21:37:55.3407624Z GPU_SRCS: 2025-08-14T21:37:55.3407804Z src/split_embeddings_utils/split_embeddings_utils.cpp 2025-08-14T21:37:55.3408207Z src/split_embeddings_utils/generate_vbe_metadata.cu 2025-08-14T21:37:55.3408439Z src/split_embeddings_utils/get_infos_metadata.cu 2025-08-14T21:37:55.3408679Z src/split_embeddings_utils/radix_sort_pairs.cu 2025-08-14T21:37:55.3408920Z src/split_embeddings_utils/transpose_embedding_input.cu 2025-08-14T21:37:55.3409100Z   2025-08-14T21:37:55.3409218Z CUDA_SPECIFIC_SRCS: 2025-08-14T21:37:55.3409337Z  2025-08-14T21:37:55.3409438Z   2025-08-14T21:37:55.3409574Z HIP_SPECIFIC_SRCS: 2025-08-14T21:37:55.3411786Z  2025-08-14T21:37:55.3411899Z   2025-08-14T21:37:55.3412001Z OTHER_SRCS: 2025-08-14T21:37:55.3412112Z  2025-08-14T21:37:55.3412206Z   2025-08-14T21:37:55.3412311Z CC_FLAGS: 2025-08-14T21:37:55.3412422Z  2025-08-14T21:37:55.3412517Z   2025-08-14T21:37:55.3412616Z NVCC_FLAGS: 2025-08-14T21:37:55.3412719Z  2025-08-14T21:37:55.3412817Z   2025-08-14T21:37:55.3414056Z HIPCC_FLAGS: 2025-08-14T21:37:55.3414157Z  2025-08-14T21:37:55.3414236Z   2025-08-14T21:37:55.3414324Z INCLUDE_DIRS: 2025-08-14T21:37:55.3414628Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:55.3414950Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:55.3415126Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:55.3415313Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:55.3415534Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:55.3415803Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:55.3416067Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src 2025-08-14T21:37:55.3417308Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cpuinfo/include 2025-08-14T21:37:55.3417560Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/include 2025-08-14T21:37:55.3417831Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/tools/util/include 2025-08-14T21:37:55.3418219Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/include 2025-08-14T21:37:55.3418513Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/library/include 2025-08-14T21:37:55.3418785Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/json/include 2025-08-14T21:37:55.3418950Z   2025-08-14T21:37:55.3419052Z Selected Source Files: 2025-08-14T21:37:55.3419220Z src/split_embeddings_utils/split_embeddings_utils_cpu.cpp 2025-08-14T21:37:55.3419432Z src/split_embeddings_utils/split_embeddings_utils_meta.cpp 2025-08-14T21:37:55.3419634Z src/split_embeddings_utils/split_embeddings_utils.cpp 2025-08-14T21:37:55.3420795Z src/split_embeddings_utils/generate_vbe_metadata.cu 2025-08-14T21:37:55.3421080Z src/split_embeddings_utils/get_infos_metadata.cu 2025-08-14T21:37:55.3421257Z src/split_embeddings_utils/radix_sort_pairs.cu 2025-08-14T21:37:55.3421444Z src/split_embeddings_utils/transpose_embedding_input.cu 2025-08-14T21:37:55.3421597Z   2025-08-14T21:37:55.3421697Z HIPified Source Files: 2025-08-14T21:37:55.3421945Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_utils/split_embeddings_utils_cpu.cpp 2025-08-14T21:37:55.3422300Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_utils/split_embeddings_utils_meta.cpp 2025-08-14T21:37:55.3422650Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_utils/split_embeddings_utils_hip.cpp 2025-08-14T21:37:55.3422988Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_utils/generate_vbe_metadata.hip 2025-08-14T21:37:55.3423315Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_utils/get_infos_metadata.hip 2025-08-14T21:37:55.3424590Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_utils/radix_sort_pairs.hip 2025-08-14T21:37:55.3424928Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_utils/transpose_embedding_input.hip 2025-08-14T21:37:55.3425140Z   2025-08-14T21:37:55.3425243Z Library Dependencies: 2025-08-14T21:37:55.3425353Z torch 2025-08-14T21:37:55.3425450Z torch_library 2025-08-14T21:37:55.3425627Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:55.3425793Z   2025-08-14T21:37:55.3425885Z Output Library: 2025-08-14T21:37:55.3426002Z fbgemm_gpu_tbe_utils 2025-08-14T21:37:55.3426108Z   2025-08-14T21:37:55.3427155Z Destination Directory: 2025-08-14T21:37:55.3427272Z fbgemm_gpu 2025-08-14T21:37:55.3427405Z ================================================================================ 2025-08-14T21:37:55.3427533Z  2025-08-14T21:37:55.3427674Z -- Writing tmp_6jcvIqR7JEiANxF9 into file - file_tmp_6jcvIqR7JEiANxF9.txt 2025-08-14T21:37:55.3597670Z  2025-08-14T21:37:55.3598368Z  2025-08-14T21:37:55.3598920Z ================================================================================ 2025-08-14T21:37:55.3599307Z GPU CPP Library Target: fbgemm_gpu_sparse_async_cumsum (SHARED) 2025-08-14T21:37:55.3599586Z   2025-08-14T21:37:55.3603700Z CPU_SRCS: 2025-08-14T21:37:55.3603966Z src/sparse_ops/sparse_async_cumsum.cpp 2025-08-14T21:37:55.3604212Z   2025-08-14T21:37:55.3604378Z GPU_SRCS: 2025-08-14T21:37:55.3604591Z src/sparse_ops/sparse_async_cumsum.cu 2025-08-14T21:37:55.3604819Z   2025-08-14T21:37:55.3604994Z CUDA_SPECIFIC_SRCS: 2025-08-14T21:37:55.3605182Z  2025-08-14T21:37:55.3605316Z   2025-08-14T21:37:55.3605479Z HIP_SPECIFIC_SRCS: 2025-08-14T21:37:55.3605655Z  2025-08-14T21:37:55.3605808Z   2025-08-14T21:37:55.3605979Z OTHER_SRCS: 2025-08-14T21:37:55.3608125Z  2025-08-14T21:37:55.3608264Z   2025-08-14T21:37:55.3608380Z CC_FLAGS: 2025-08-14T21:37:55.3608514Z  2025-08-14T21:37:55.3608624Z   2025-08-14T21:37:55.3608748Z NVCC_FLAGS: 2025-08-14T21:37:55.3608881Z  2025-08-14T21:37:55.3608990Z   2025-08-14T21:37:55.3609130Z HIPCC_FLAGS: 2025-08-14T21:37:55.3609257Z  2025-08-14T21:37:55.3609372Z   2025-08-14T21:37:55.3610861Z INCLUDE_DIRS: 2025-08-14T21:37:55.3611090Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:55.3611349Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:55.3611598Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:55.3611861Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:55.3612169Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:55.3612676Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:55.3613040Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src 2025-08-14T21:37:55.3613385Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cpuinfo/include 2025-08-14T21:37:55.3613724Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/include 2025-08-14T21:37:55.3614098Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/tools/util/include 2025-08-14T21:37:55.3616326Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/include 2025-08-14T21:37:55.3616928Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/library/include 2025-08-14T21:37:55.3617313Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/json/include 2025-08-14T21:37:55.3617496Z   2025-08-14T21:37:55.3617607Z Selected Source Files: 2025-08-14T21:37:55.3617760Z src/sparse_ops/sparse_async_cumsum.cpp 2025-08-14T21:37:55.3618068Z src/sparse_ops/sparse_async_cumsum.cu 2025-08-14T21:37:55.3618203Z   2025-08-14T21:37:55.3618310Z HIPified Source Files: 2025-08-14T21:37:55.3618548Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_async_cumsum_hip.cpp 2025-08-14T21:37:55.3618864Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_async_cumsum.hip 2025-08-14T21:37:55.3620097Z   2025-08-14T21:37:55.3620212Z Library Dependencies: 2025-08-14T21:37:55.3620333Z torch 2025-08-14T21:37:55.3620438Z torch_library 2025-08-14T21:37:55.3620633Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:55.3620832Z fbgemm_gpu_tbe_utils 2025-08-14T21:37:55.3620946Z   2025-08-14T21:37:55.3621046Z Output Library: 2025-08-14T21:37:55.3621180Z fbgemm_gpu_sparse_async_cumsum 2025-08-14T21:37:55.3621305Z   2025-08-14T21:37:55.3621417Z Destination Directory: 2025-08-14T21:37:55.3622515Z fbgemm_gpu 2025-08-14T21:37:55.3622667Z ================================================================================ 2025-08-14T21:37:55.3622882Z  2025-08-14T21:37:55.3623034Z -- Writing tmp_SgoMCmCYHtIIgf9s into file - file_tmp_SgoMCmCYHtIIgf9s.txt 2025-08-14T21:37:55.3814748Z  2025-08-14T21:37:55.3814944Z  2025-08-14T21:37:55.3815093Z ================================================================================ 2025-08-14T21:37:55.3815315Z GPU CPP Library Target: fbgemm_gpu_tbe_common (SHARED) 2025-08-14T21:37:55.3815526Z   2025-08-14T21:37:55.3815629Z CPU_SRCS: 2025-08-14T21:37:55.3818371Z codegen/utils/embedding_bounds_check_host_cpu.cpp 2025-08-14T21:37:55.3818610Z codegen/training/forward/embedding_forward_split_cpu.cpp 2025-08-14T21:37:55.3818854Z codegen/training/forward/embedding_forward_split_nobag_cpu.cpp 2025-08-14T21:37:55.3819070Z codegen/training/pt2/pt2_autograd_utils.cpp 2025-08-14T21:37:55.3819213Z   2025-08-14T21:37:55.3819309Z GPU_SRCS: 2025-08-14T21:37:55.3819443Z codegen/utils/embedding_bounds_check_v1.cu 2025-08-14T21:37:55.3819620Z codegen/utils/embedding_bounds_check_v2.cu 2025-08-14T21:37:55.3819797Z codegen/utils/embedding_bounds_check_host.cpp 2025-08-14T21:37:55.3819932Z   2025-08-14T21:37:55.3820036Z CUDA_SPECIFIC_SRCS: 2025-08-14T21:37:55.3820153Z  2025-08-14T21:37:55.3820238Z   2025-08-14T21:37:55.3820340Z HIP_SPECIFIC_SRCS: 2025-08-14T21:37:55.3820451Z  2025-08-14T21:37:55.3821857Z   2025-08-14T21:37:55.3821949Z OTHER_SRCS: 2025-08-14T21:37:55.3822048Z  2025-08-14T21:37:55.3822132Z   2025-08-14T21:37:55.3822222Z CC_FLAGS: 2025-08-14T21:37:55.3822315Z  2025-08-14T21:37:55.3822397Z   2025-08-14T21:37:55.3822486Z NVCC_FLAGS: 2025-08-14T21:37:55.3822712Z --expt-relaxed-constexpr 2025-08-14T21:37:55.3822850Z -D__CUDA_NO_HALF_OPERATORS__ 2025-08-14T21:37:55.3822994Z -D__CUDA_NO_BFLOAT16_CONVERSIONS__ 2025-08-14T21:37:55.3824174Z -D__CUDA_NO_HALF2_OPERATORS__ 2025-08-14T21:37:55.3824296Z   2025-08-14T21:37:55.3824388Z HIPCC_FLAGS: 2025-08-14T21:37:55.3824487Z  2025-08-14T21:37:55.3824569Z   2025-08-14T21:37:55.3824663Z INCLUDE_DIRS: 2025-08-14T21:37:55.3824822Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:55.3825012Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:55.3825194Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:55.3825392Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:55.3825617Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:55.3826845Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:55.3827120Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src 2025-08-14T21:37:55.3827370Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cpuinfo/include 2025-08-14T21:37:55.3827621Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/include 2025-08-14T21:37:55.3827967Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/tools/util/include 2025-08-14T21:37:55.3828251Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/include 2025-08-14T21:37:55.3828548Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/library/include 2025-08-14T21:37:55.3828822Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/json/include 2025-08-14T21:37:55.3828989Z   2025-08-14T21:37:55.3829091Z Selected Source Files: 2025-08-14T21:37:55.3829249Z codegen/utils/embedding_bounds_check_host_cpu.cpp 2025-08-14T21:37:55.3830389Z codegen/training/forward/embedding_forward_split_cpu.cpp 2025-08-14T21:37:55.3830610Z codegen/training/forward/embedding_forward_split_nobag_cpu.cpp 2025-08-14T21:37:55.3830863Z codegen/training/pt2/pt2_autograd_utils.cpp 2025-08-14T21:37:55.3831036Z codegen/utils/embedding_bounds_check_host.cpp 2025-08-14T21:37:55.3831203Z codegen/utils/embedding_bounds_check_v1.cu 2025-08-14T21:37:55.3831365Z codegen/utils/embedding_bounds_check_v2.cu 2025-08-14T21:37:55.3831493Z   2025-08-14T21:37:55.3831593Z HIPified Source Files: 2025-08-14T21:37:55.3831833Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/utils/embedding_bounds_check_host_cpu_hip.cpp 2025-08-14T21:37:55.3832196Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp 2025-08-14T21:37:55.3832581Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_nobag_cpu_hip.cpp 2025-08-14T21:37:55.3833878Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/pt2/pt2_autograd_utils.cpp 2025-08-14T21:37:55.3834206Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/utils/embedding_bounds_check_host_hip.cpp 2025-08-14T21:37:55.3834527Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/utils/embedding_bounds_check_v1.hip 2025-08-14T21:37:55.3834831Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/utils/embedding_bounds_check_v2.hip 2025-08-14T21:37:55.3835024Z   2025-08-14T21:37:55.3835126Z Library Dependencies: 2025-08-14T21:37:55.3835237Z torch 2025-08-14T21:37:55.3835335Z torch_library 2025-08-14T21:37:55.3835514Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:55.3835683Z fbgemm 2025-08-14T21:37:55.3836723Z fbgemm_gpu_config 2025-08-14T21:37:55.3836832Z   2025-08-14T21:37:55.3836926Z Output Library: 2025-08-14T21:37:55.3837042Z fbgemm_gpu_tbe_common 2025-08-14T21:37:55.3837197Z   2025-08-14T21:37:55.3837295Z Destination Directory: 2025-08-14T21:37:55.3837412Z fbgemm_gpu 2025-08-14T21:37:55.3837549Z ================================================================================ 2025-08-14T21:37:55.3837678Z  2025-08-14T21:37:55.3837812Z -- Writing tmp_RcIwcq8wRySkQgjw into file - file_tmp_RcIwcq8wRySkQgjw.txt 2025-08-14T21:37:55.4010044Z  2025-08-14T21:37:55.4015008Z  2025-08-14T21:37:55.4015207Z ================================================================================ 2025-08-14T21:37:55.4015442Z GPU CPP Library Target: fbgemm_gpu_tbe_optimizers (SHARED) 2025-08-14T21:37:55.4015616Z   2025-08-14T21:37:55.4015722Z CPU_SRCS: 2025-08-14T21:37:55.4015831Z  2025-08-14T21:37:55.4015933Z   2025-08-14T21:37:55.4016033Z GPU_SRCS: 2025-08-14T21:37:55.4016365Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_split.cpp 2025-08-14T21:37:55.4016840Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_split_cuda.cu 2025-08-14T21:37:55.4017318Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_split_kernel.cu 2025-08-14T21:37:55.4019379Z   2025-08-14T21:37:55.4019479Z CUDA_SPECIFIC_SRCS: 2025-08-14T21:37:55.4019586Z  2025-08-14T21:37:55.4019667Z   2025-08-14T21:37:55.4019767Z HIP_SPECIFIC_SRCS: 2025-08-14T21:37:55.4019871Z  2025-08-14T21:37:55.4019952Z   2025-08-14T21:37:55.4020066Z OTHER_SRCS: 2025-08-14T21:37:55.4020165Z  2025-08-14T21:37:55.4020245Z   2025-08-14T21:37:55.4020328Z CC_FLAGS: 2025-08-14T21:37:55.4020432Z  2025-08-14T21:37:55.4020526Z   2025-08-14T21:37:55.4020625Z NVCC_FLAGS: 2025-08-14T21:37:55.4020760Z --expt-relaxed-constexpr 2025-08-14T21:37:55.4020907Z -D__CUDA_NO_HALF_OPERATORS__ 2025-08-14T21:37:55.4022345Z -D__CUDA_NO_BFLOAT16_CONVERSIONS__ 2025-08-14T21:37:55.4022631Z -D__CUDA_NO_HALF2_OPERATORS__ 2025-08-14T21:37:55.4022747Z   2025-08-14T21:37:55.4022836Z HIPCC_FLAGS: 2025-08-14T21:37:55.4022935Z  2025-08-14T21:37:55.4023016Z   2025-08-14T21:37:55.4023105Z INCLUDE_DIRS: 2025-08-14T21:37:55.4023260Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:55.4023446Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:55.4023623Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:55.4023815Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:55.4025059Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:55.4025331Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:55.4025595Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src 2025-08-14T21:37:55.4025840Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cpuinfo/include 2025-08-14T21:37:55.4026084Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/include 2025-08-14T21:37:55.4026350Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/tools/util/include 2025-08-14T21:37:55.4026627Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/include 2025-08-14T21:37:55.4026917Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/library/include 2025-08-14T21:37:55.4027186Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/json/include 2025-08-14T21:37:55.4027352Z   2025-08-14T21:37:55.4027453Z Selected Source Files: 2025-08-14T21:37:55.4028757Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_split.cpp 2025-08-14T21:37:55.4029286Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_split_cuda.cu 2025-08-14T21:37:55.4029739Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_split_kernel.cu 2025-08-14T21:37:55.4029999Z   2025-08-14T21:37:55.4030097Z HIPified Source Files: 2025-08-14T21:37:55.4030392Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_split_hip.cpp 2025-08-14T21:37:55.4030835Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_split_hip.hip 2025-08-14T21:37:55.4031281Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_split_kernel.hip 2025-08-14T21:37:55.4031546Z   2025-08-14T21:37:55.4031644Z Library Dependencies: 2025-08-14T21:37:55.4032699Z torch 2025-08-14T21:37:55.4032801Z torch_library 2025-08-14T21:37:55.4032985Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:55.4033149Z   2025-08-14T21:37:55.4033242Z Output Library: 2025-08-14T21:37:55.4033360Z fbgemm_gpu_tbe_optimizers 2025-08-14T21:37:55.4033471Z   2025-08-14T21:37:55.4033568Z Destination Directory: 2025-08-14T21:37:55.4033681Z fbgemm_gpu 2025-08-14T21:37:55.4033813Z ================================================================================ 2025-08-14T21:37:55.4033941Z  2025-08-14T21:37:55.4035011Z -- Writing tmp_Rm1gMDZYKke6Tei8 into file - file_tmp_Rm1gMDZYKke6Tei8.txt 2025-08-14T21:37:55.4357166Z  2025-08-14T21:37:55.4357450Z  2025-08-14T21:37:55.4358006Z ================================================================================ 2025-08-14T21:37:55.4358646Z GPU CPP Library Target: fbgemm_gpu_tbe_training_forward (SHARED) 2025-08-14T21:37:55.4359110Z   2025-08-14T21:37:55.4359380Z CPU_SRCS: 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2025-08-14T21:37:55.4459528Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_gwd_kernel.hip 2025-08-14T21:37:55.4460884Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_unweighted_vbe_codegen_hip.hip 2025-08-14T21:37:55.4461344Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_unweighted_vbe_kernel.hip 2025-08-14T21:37:55.4461802Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_vbe_gwd_kernel.hip 2025-08-14T21:37:55.4462265Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_unweighted_vbe_codegen_hip.hip 2025-08-14T21:37:55.4462722Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_unweighted_vbe_kernel.hip 2025-08-14T21:37:55.4463184Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_nobag_kernel_small.hip 2025-08-14T21:37:55.4463662Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_unweighted_nobag_kernel_small.hip 2025-08-14T21:37:55.4464134Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_unweighted_nobag_kernel_small.hip 2025-08-14T21:37:55.4464404Z   2025-08-14T21:37:55.4464507Z Library Dependencies: 2025-08-14T21:37:55.4465482Z torch 2025-08-14T21:37:55.4465585Z torch_library 2025-08-14T21:37:55.4465815Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:55.4466001Z fbgemm_gpu_tbe_common 2025-08-14T21:37:55.4466109Z   2025-08-14T21:37:55.4466205Z Output Library: 2025-08-14T21:37:55.4466331Z fbgemm_gpu_tbe_training_forward 2025-08-14T21:37:55.4466451Z   2025-08-14T21:37:55.4466552Z Destination Directory: 2025-08-14T21:37:55.4466666Z fbgemm_gpu 2025-08-14T21:37:55.4466802Z ================================================================================ 2025-08-14T21:37:55.4467799Z  2025-08-14T21:37:55.4468009Z -- Writing tmp_bGqLH8ZotxmYPJUe into file - file_tmp_bGqLH8ZotxmYPJUe.txt 2025-08-14T21:37:55.4702765Z  2025-08-14T21:37:55.4702885Z  2025-08-14T21:37:55.4703047Z ================================================================================ 2025-08-14T21:37:55.4703298Z GPU CPP Library Target: fbgemm_gpu_tbe_training_backward_pt2 (SHARED) 2025-08-14T21:37:55.4703495Z   2025-08-14T21:37:55.4703609Z CPU_SRCS: 2025-08-14T21:37:55.4703904Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_adagrad_pt2_autograd.cpp 2025-08-14T21:37:55.4706985Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_rowwise_adagrad_pt2_autograd.cpp 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/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 2025-08-14T21:37:55.4791804Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_adagrad_pt2_hip_wrapper.cpp 2025-08-14T21:37:55.4792280Z /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 2025-08-14T21:37:55.4792743Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_sgd_pt2_hip_wrapper.cpp 2025-08-14T21:37:55.4793191Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_adam_pt2_hip_wrapper.cpp 2025-08-14T21:37:55.4793684Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_lamb_pt2_hip_wrapper.cpp 2025-08-14T21:37:55.4795106Z /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 2025-08-14T21:37:55.4795589Z /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 2025-08-14T21:37:55.4796087Z /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 2025-08-14T21:37:55.4796558Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_none_pt2_hip_wrapper.cpp 2025-08-14T21:37:55.4797053Z /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 2025-08-14T21:37:55.4797556Z /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 2025-08-14T21:37:55.4798133Z /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 2025-08-14T21:37:55.4798665Z /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 2025-08-14T21:37:55.4799228Z /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 2025-08-14T21:37:55.4799785Z /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 2025-08-14T21:37:55.4801302Z /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 2025-08-14T21:37:55.4801805Z /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 2025-08-14T21:37:55.4802085Z   2025-08-14T21:37:55.4802187Z Library Dependencies: 2025-08-14T21:37:55.4802302Z torch 2025-08-14T21:37:55.4802400Z torch_library 2025-08-14T21:37:55.4802585Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:55.4802757Z fbgemm 2025-08-14T21:37:55.4802859Z fbgemm_gpu_config 2025-08-14T21:37:55.4802979Z fbgemm_gpu_tbe_cache 2025-08-14T21:37:55.4803103Z fbgemm_gpu_tbe_common 2025-08-14T21:37:55.4804159Z fbgemm_gpu_tbe_utils 2025-08-14T21:37:55.4804295Z fbgemm_gpu_sparse_async_cumsum 2025-08-14T21:37:55.4804414Z   2025-08-14T21:37:55.4804515Z Output Library: 2025-08-14T21:37:55.4804644Z fbgemm_gpu_tbe_training_backward_pt2 2025-08-14T21:37:55.4804767Z   2025-08-14T21:37:55.4804865Z Destination Directory: 2025-08-14T21:37:55.4804982Z fbgemm_gpu 2025-08-14T21:37:55.4805116Z ================================================================================ 2025-08-14T21:37:55.4805247Z  2025-08-14T21:37:55.4805387Z -- Writing tmp_ynj5wqQLkRGVYVC2 into file - file_tmp_ynj5wqQLkRGVYVC2.txt 2025-08-14T21:37:55.5283865Z  2025-08-14T21:37:55.5285436Z  2025-08-14T21:37:55.5285962Z ================================================================================ 2025-08-14T21:37:55.5286592Z GPU CPP Library Target: fbgemm_gpu_tbe_training_backward (SHARED) 2025-08-14T21:37:55.5287473Z   2025-08-14T21:37:55.5287739Z CPU_SRCS: 2025-08-14T21:37:55.5296837Z codegen/training/backward/embedding_backward_dense_host_cpu.cpp 2025-08-14T21:37:55.5297435Z /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_nobag_hip.hip 2025-08-14T21:37:55.5461564Z /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 2025-08-14T21:37:55.5461850Z /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 2025-08-14T21:37:55.5462114Z /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 2025-08-14T21:37:55.5462388Z /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_cta.hip 2025-08-14T21:37:55.5462663Z /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 2025-08-14T21:37:55.5462963Z /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 2025-08-14T21:37:55.5463200Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_weighted_device_kernel_hip.hip 2025-08-14T21:37:55.5463440Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_unweighted_device_kernel_hip.hip 2025-08-14T21:37:55.5463483Z   2025-08-14T21:37:55.5463542Z Library Dependencies: 2025-08-14T21:37:55.5463586Z torch 2025-08-14T21:37:55.5463635Z torch_library 2025-08-14T21:37:55.5463761Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:55.5463807Z fbgemm 2025-08-14T21:37:55.5463859Z fbgemm_gpu_config 2025-08-14T21:37:55.5463919Z fbgemm_gpu_tbe_cache 2025-08-14T21:37:55.5463974Z fbgemm_gpu_tbe_common 2025-08-14T21:37:55.5464031Z fbgemm_gpu_tbe_utils 2025-08-14T21:37:55.5464093Z fbgemm_gpu_sparse_async_cumsum 2025-08-14T21:37:55.5464135Z   2025-08-14T21:37:55.5464185Z Output Library: 2025-08-14T21:37:55.5465094Z fbgemm_gpu_tbe_training_backward 2025-08-14T21:37:55.5465135Z   2025-08-14T21:37:55.5465192Z Destination Directory: 2025-08-14T21:37:55.5465237Z fbgemm_gpu 2025-08-14T21:37:55.5465322Z ================================================================================ 2025-08-14T21:37:55.5465362Z  2025-08-14T21:37:55.5465458Z -- Writing tmp_QCAuZzgNFGzdc0hW into file - file_tmp_QCAuZzgNFGzdc0hW.txt 2025-08-14T21:37:55.5547644Z  2025-08-14T21:37:55.5548146Z  2025-08-14T21:37:55.5548287Z ================================================================================ 2025-08-14T21:37:55.5548625Z GPU CPP Library Target: fbgemm_gpu_tbe_training_backward_gwd (SHARED) 2025-08-14T21:37:55.5548679Z   2025-08-14T21:37:55.5548750Z CPU_SRCS: 2025-08-14T21:37:55.5548806Z  2025-08-14T21:37:55.5548863Z   2025-08-14T21:37:55.5548923Z GPU_SRCS: 2025-08-14T21:37:55.5549262Z /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 2025-08-14T21:37:55.5549595Z /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 2025-08-14T21:37:55.5552589Z /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 2025-08-14T21:37:55.5552937Z /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 2025-08-14T21:37:55.5553281Z /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 2025-08-14T21:37:55.5553621Z /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 2025-08-14T21:37:55.5553939Z /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 2025-08-14T21:37:55.5554268Z /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 2025-08-14T21:37:55.5554598Z /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 2025-08-14T21:37:55.5554925Z /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 2025-08-14T21:37:55.5555372Z /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 2025-08-14T21:37:55.5555711Z /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 2025-08-14T21:37:55.5555765Z   2025-08-14T21:37:55.5555838Z CUDA_SPECIFIC_SRCS: 2025-08-14T21:37:55.5555886Z  2025-08-14T21:37:55.5555936Z   2025-08-14T21:37:55.5555998Z HIP_SPECIFIC_SRCS: 2025-08-14T21:37:55.5556045Z  2025-08-14T21:37:55.5556092Z   2025-08-14T21:37:55.5556146Z OTHER_SRCS: 2025-08-14T21:37:55.5556193Z  2025-08-14T21:37:55.5556245Z   2025-08-14T21:37:55.5556296Z CC_FLAGS: 2025-08-14T21:37:55.5556344Z  2025-08-14T21:37:55.5556389Z   2025-08-14T21:37:55.5556446Z NVCC_FLAGS: 2025-08-14T21:37:55.5556525Z --expt-relaxed-constexpr 2025-08-14T21:37:55.5556602Z -D__CUDA_NO_HALF_OPERATORS__ 2025-08-14T21:37:55.5556681Z -D__CUDA_NO_BFLOAT16_CONVERSIONS__ 2025-08-14T21:37:55.5556757Z -D__CUDA_NO_HALF2_OPERATORS__ 2025-08-14T21:37:55.5556808Z   2025-08-14T21:37:55.5556864Z HIPCC_FLAGS: 2025-08-14T21:37:55.5556914Z  2025-08-14T21:37:55.5556962Z   2025-08-14T21:37:55.5557021Z INCLUDE_DIRS: 2025-08-14T21:37:55.5557137Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:55.5557230Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:55.5557336Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:55.5557444Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:55.5557617Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:55.5559299Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:55.5559461Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src 2025-08-14T21:37:55.5559605Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cpuinfo/include 2025-08-14T21:37:55.5559746Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/include 2025-08-14T21:37:55.5559905Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/tools/util/include 2025-08-14T21:37:55.5560061Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/include 2025-08-14T21:37:55.5560242Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/library/include 2025-08-14T21:37:55.5560373Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/json/include 2025-08-14T21:37:55.5560427Z   2025-08-14T21:37:55.5560499Z Selected Source Files: 2025-08-14T21:37:55.5560798Z /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 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/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 2025-08-14T21:37:55.5562969Z /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 2025-08-14T21:37:55.5563276Z /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 2025-08-14T21:37:55.5563536Z /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 2025-08-14T21:37:55.5565015Z /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 2025-08-14T21:37:55.5565301Z /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 2025-08-14T21:37:55.5565344Z   2025-08-14T21:37:55.5565400Z HIPified Source Files: 2025-08-14T21:37:55.5565649Z /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 2025-08-14T21:37:55.5565904Z /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 2025-08-14T21:37:55.5566161Z /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 2025-08-14T21:37:55.5566452Z /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 2025-08-14T21:37:55.5566711Z /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 2025-08-14T21:37:55.5566971Z /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 2025-08-14T21:37:55.5567222Z /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 2025-08-14T21:37:55.5567483Z /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 2025-08-14T21:37:55.5567745Z /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 2025-08-14T21:37:55.5568074Z /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 2025-08-14T21:37:55.5568340Z /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 2025-08-14T21:37:55.5568607Z /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 2025-08-14T21:37:55.5568647Z   2025-08-14T21:37:55.5568704Z Library Dependencies: 2025-08-14T21:37:55.5568746Z torch 2025-08-14T21:37:55.5568796Z torch_library 2025-08-14T21:37:55.5568917Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:55.5568985Z fbgemm_gpu_tbe_training_backward 2025-08-14T21:37:55.5570049Z   2025-08-14T21:37:55.5570100Z Output Library: 2025-08-14T21:37:55.5570214Z fbgemm_gpu_tbe_training_backward_gwd 2025-08-14T21:37:55.5570255Z   2025-08-14T21:37:55.5570310Z Destination Directory: 2025-08-14T21:37:55.5570356Z fbgemm_gpu 2025-08-14T21:37:55.5570438Z ================================================================================ 2025-08-14T21:37:55.5570478Z  2025-08-14T21:37:55.5570575Z -- Writing tmp_gYvhYV7BhDAXncDM into file - file_tmp_gYvhYV7BhDAXncDM.txt 2025-08-14T21:37:55.5881315Z  2025-08-14T21:37:55.5881461Z  2025-08-14T21:37:55.5882596Z ================================================================================ 2025-08-14T21:37:55.5883016Z GPU CPP Library Target: fbgemm_gpu_tbe_training_backward_vbe (SHARED) 2025-08-14T21:37:55.5883138Z   2025-08-14T21:37:55.5883308Z CPU_SRCS: 2025-08-14T21:37:55.5883437Z  2025-08-14T21:37:55.5890182Z   2025-08-14T21:37:55.5890290Z GPU_SRCS: 2025-08-14T21:37:55.5890726Z /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_rowwise_adagrad_with_counter_split_unweighted_vbe_hip.hip 2025-08-14T21:37:55.5934365Z /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 2025-08-14T21:37:55.5934645Z /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 2025-08-14T21:37:55.5934911Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_weighted_vbe_hip.hip 2025-08-14T21:37:55.5935149Z /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 2025-08-14T21:37:55.5935392Z /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 2025-08-14T21:37:55.5935621Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_unweighted_vbe_hip.hip 2025-08-14T21:37:55.5935859Z /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 2025-08-14T21:37:55.5936100Z /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 2025-08-14T21:37:55.5936329Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_vbe_hip.hip 2025-08-14T21:37:55.5936575Z /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 2025-08-14T21:37:55.5936845Z /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 2025-08-14T21:37:55.5937079Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_vbe_hip.hip 2025-08-14T21:37:55.5937320Z /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 2025-08-14T21:37:55.5938522Z /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 2025-08-14T21:37:55.5938753Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_weighted_vbe_hip.hip 2025-08-14T21:37:55.5938994Z /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 2025-08-14T21:37:55.5939235Z /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 2025-08-14T21:37:55.5939468Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_unweighted_vbe_hip.hip 2025-08-14T21:37:55.5939707Z /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 2025-08-14T21:37:55.5939950Z /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 2025-08-14T21:37:55.5939990Z   2025-08-14T21:37:55.5940101Z Library Dependencies: 2025-08-14T21:37:55.5940144Z torch 2025-08-14T21:37:55.5940194Z torch_library 2025-08-14T21:37:55.5940319Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:55.5940385Z fbgemm_gpu_tbe_training_backward 2025-08-14T21:37:55.5940425Z   2025-08-14T21:37:55.5940476Z Output Library: 2025-08-14T21:37:55.5940542Z fbgemm_gpu_tbe_training_backward_vbe 2025-08-14T21:37:55.5940582Z   2025-08-14T21:37:55.5940638Z Destination Directory: 2025-08-14T21:37:55.5940684Z fbgemm_gpu 2025-08-14T21:37:55.5940765Z ================================================================================ 2025-08-14T21:37:55.5940805Z  2025-08-14T21:37:55.5941768Z -- Writing tmp_uf60UsGaM7bsBDDe into file - file_tmp_uf60UsGaM7bsBDDe.txt 2025-08-14T21:37:55.6108238Z  2025-08-14T21:37:55.6108345Z  2025-08-14T21:37:55.6108712Z ================================================================================ 2025-08-14T21:37:55.6108885Z GPU CPP Library Target: fbgemm_gpu_tbe_training_backward_dense (SHARED) 2025-08-14T21:37:55.6108938Z   2025-08-14T21:37:55.6109012Z CPU_SRCS: 2025-08-14T21:37:55.6109068Z  2025-08-14T21:37:55.6109116Z   2025-08-14T21:37:55.6109175Z GPU_SRCS: 2025-08-14T21:37:55.6109440Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_cuda.cu 2025-08-14T21:37:55.6109679Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_meta.cpp 2025-08-14T21:37:55.6109918Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_kernel_cta.cu 2025-08-14T21:37:55.6110189Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_kernel_warp.cu 2025-08-14T21:37:55.6110435Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_nobag_cuda.cu 2025-08-14T21:37:55.6110818Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_nobag_meta.cpp 2025-08-14T21:37:55.6111075Z /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 2025-08-14T21:37:55.6111328Z /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 2025-08-14T21:37:55.6113690Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_cuda.cu 2025-08-14T21:37:55.6113948Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_meta.cpp 2025-08-14T21:37:55.6114208Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_kernel_cta.cu 2025-08-14T21:37:55.6114450Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_kernel_warp.cu 2025-08-14T21:37:55.6114665Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_dense.cpp 2025-08-14T21:37:55.6114710Z   2025-08-14T21:37:55.6114767Z CUDA_SPECIFIC_SRCS: 2025-08-14T21:37:55.6114808Z  2025-08-14T21:37:55.6114851Z   2025-08-14T21:37:55.6114904Z HIP_SPECIFIC_SRCS: 2025-08-14T21:37:55.6114944Z  2025-08-14T21:37:55.6114984Z   2025-08-14T21:37:55.6115035Z OTHER_SRCS: 2025-08-14T21:37:55.6115074Z  2025-08-14T21:37:55.6115212Z   2025-08-14T21:37:55.6115256Z CC_FLAGS: 2025-08-14T21:37:55.6115295Z  2025-08-14T21:37:55.6115335Z   2025-08-14T21:37:55.6115379Z NVCC_FLAGS: 2025-08-14T21:37:55.6115444Z --expt-relaxed-constexpr 2025-08-14T21:37:55.6115504Z -D__CUDA_NO_HALF_OPERATORS__ 2025-08-14T21:37:55.6115572Z -D__CUDA_NO_BFLOAT16_CONVERSIONS__ 2025-08-14T21:37:55.6115635Z -D__CUDA_NO_HALF2_OPERATORS__ 2025-08-14T21:37:55.6115684Z   2025-08-14T21:37:55.6115734Z HIPCC_FLAGS: 2025-08-14T21:37:55.6115781Z  2025-08-14T21:37:55.6115825Z   2025-08-14T21:37:55.6115880Z INCLUDE_DIRS: 2025-08-14T21:37:55.6115981Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:55.6116067Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:55.6116159Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:55.6116258Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:55.6116382Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:55.6116536Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:55.6116661Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src 2025-08-14T21:37:55.6116785Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cpuinfo/include 2025-08-14T21:37:55.6116910Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/include 2025-08-14T21:37:55.6118327Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/tools/util/include 2025-08-14T21:37:55.6118490Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/include 2025-08-14T21:37:55.6118644Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/library/include 2025-08-14T21:37:55.6118761Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/json/include 2025-08-14T21:37:55.6118809Z   2025-08-14T21:37:55.6118866Z Selected Source Files: 2025-08-14T21:37:55.6119151Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_meta.cpp 2025-08-14T21:37:55.6119393Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_nobag_meta.cpp 2025-08-14T21:37:55.6119623Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_meta.cpp 2025-08-14T21:37:55.6119829Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_dense.cpp 2025-08-14T21:37:55.6120051Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_cuda.cu 2025-08-14T21:37:55.6120286Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_kernel_cta.cu 2025-08-14T21:37:55.6120524Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_kernel_warp.cu 2025-08-14T21:37:55.6120761Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_nobag_cuda.cu 2025-08-14T21:37:55.6121005Z /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 2025-08-14T21:37:55.6121252Z /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 2025-08-14T21:37:55.6121477Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_cuda.cu 2025-08-14T21:37:55.6121751Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_kernel_cta.cu 2025-08-14T21:37:55.6121990Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_kernel_warp.cu 2025-08-14T21:37:55.6122031Z   2025-08-14T21:37:55.6122087Z HIPified Source Files: 2025-08-14T21:37:55.6123533Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_meta_hip.cpp 2025-08-14T21:37:55.6123791Z /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 2025-08-14T21:37:55.6124028Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_meta_hip.cpp 2025-08-14T21:37:55.6124240Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_dense_hip.cpp 2025-08-14T21:37:55.6124476Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_hip.hip 2025-08-14T21:37:55.6124709Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_kernel_cta.hip 2025-08-14T21:37:55.6124944Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_kernel_warp.hip 2025-08-14T21:37:55.6125180Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_nobag_hip.hip 2025-08-14T21:37:55.6125428Z /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 2025-08-14T21:37:55.6125678Z /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 2025-08-14T21:37:55.6125950Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_hip.hip 2025-08-14T21:37:55.6126188Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_kernel_cta.hip 2025-08-14T21:37:55.6126427Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_kernel_warp.hip 2025-08-14T21:37:55.6126468Z   2025-08-14T21:37:55.6126523Z Library Dependencies: 2025-08-14T21:37:55.6126566Z torch 2025-08-14T21:37:55.6126615Z torch_library 2025-08-14T21:37:55.6126737Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:55.6126802Z fbgemm_gpu_tbe_training_backward 2025-08-14T21:37:55.6126842Z   2025-08-14T21:37:55.6126891Z Output Library: 2025-08-14T21:37:55.6127999Z fbgemm_gpu_tbe_training_backward_dense 2025-08-14T21:37:55.6128051Z   2025-08-14T21:37:55.6128107Z Destination Directory: 2025-08-14T21:37:55.6128154Z fbgemm_gpu 2025-08-14T21:37:55.6128236Z ================================================================================ 2025-08-14T21:37:55.6128278Z  2025-08-14T21:37:55.6128373Z -- Writing tmp_o8kFChWw1wVjbmuR into file - file_tmp_o8kFChWw1wVjbmuR.txt 2025-08-14T21:37:55.6412858Z  2025-08-14T21:37:55.6413010Z  2025-08-14T21:37:55.6413764Z ================================================================================ 2025-08-14T21:37:55.6414192Z GPU CPP Library Target: fbgemm_gpu_tbe_training_backward_split_host (SHARED) 2025-08-14T21:37:55.6414324Z   2025-08-14T21:37:55.6414473Z CPU_SRCS: 2025-08-14T21:37:55.6415174Z  2025-08-14T21:37:55.6415310Z   2025-08-14T21:37:55.6415452Z GPU_SRCS: 2025-08-14T21:37:55.6421507Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_adagrad.cpp 2025-08-14T21:37:55.6421974Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_adagrad.cpp 2025-08-14T21:37:55.6422329Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_sgd.cpp 2025-08-14T21:37:55.6422684Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_adam.cpp 2025-08-14T21:37:55.6423025Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_lamb.cpp 2025-08-14T21:37:55.6423388Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_lars_sgd.cpp 2025-08-14T21:37:55.6423794Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_partial_rowwise_adam.cpp 2025-08-14T21:37:55.6424193Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_partial_rowwise_lamb.cpp 2025-08-14T21:37:55.6424545Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_none.cpp 2025-08-14T21:37:55.6424956Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_adagrad_with_counter.cpp 2025-08-14T21:37:55.6425321Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_sgd.cpp 2025-08-14T21:37:55.6425745Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_rowwise_adagrad.cpp 2025-08-14T21:37:55.6426340Z /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 2025-08-14T21:37:55.6426782Z /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 2025-08-14T21:37:55.6427205Z /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 2025-08-14T21:37:55.6427607Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_weighted_adagrad.cpp 2025-08-14T21:37:55.6428077Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_ssd_rowwise_adagrad.cpp 2025-08-14T21:37:55.6428470Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_weighted_meta.cpp 2025-08-14T21:37:55.6428932Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_unweighted_meta.cpp 2025-08-14T21:37:55.6429244Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_meta.cpp 2025-08-14T21:37:55.6429556Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_meta.cpp 2025-08-14T21:37:55.6429853Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_weighted_meta.cpp 2025-08-14T21:37:55.6430135Z /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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NVCC_FLAGS: 2025-08-14T21:37:55.6435457Z --expt-relaxed-constexpr 2025-08-14T21:37:55.6435539Z -D__CUDA_NO_HALF_OPERATORS__ 2025-08-14T21:37:55.6435619Z -D__CUDA_NO_BFLOAT16_CONVERSIONS__ 2025-08-14T21:37:55.6435703Z -D__CUDA_NO_HALF2_OPERATORS__ 2025-08-14T21:37:55.6435755Z   2025-08-14T21:37:55.6435813Z HIPCC_FLAGS: 2025-08-14T21:37:55.6435864Z  2025-08-14T21:37:55.6435917Z   2025-08-14T21:37:55.6435976Z INCLUDE_DIRS: 2025-08-14T21:37:55.6436109Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:55.6436207Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:55.6436324Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:55.6436440Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:55.6436596Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:55.6436791Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:55.6436982Z 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2025-08-14T21:37:55.6448196Z /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 2025-08-14T21:37:55.6448486Z /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 2025-08-14T21:37:55.6448741Z /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 2025-08-14T21:37:55.6448963Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_none_split_weighted_meta.cpp 2025-08-14T21:37:55.6449189Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_none_split_unweighted_meta.cpp 2025-08-14T21:37:55.6449451Z /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 2025-08-14T21:37:55.6449720Z /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 2025-08-14T21:37:55.6449762Z   2025-08-14T21:37:55.6449820Z HIPified Source Files: 2025-08-14T21:37:55.6451001Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_adagrad_hip.cpp 2025-08-14T21:37:55.6451234Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_adagrad_hip.cpp 2025-08-14T21:37:55.6451443Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_sgd_hip.cpp 2025-08-14T21:37:55.6451651Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_adam_hip.cpp 2025-08-14T21:37:55.6451909Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_lamb_hip.cpp 2025-08-14T21:37:55.6452125Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_lars_sgd_hip.cpp 2025-08-14T21:37:55.6452361Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_partial_rowwise_adam_hip.cpp 2025-08-14T21:37:55.6452596Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_partial_rowwise_lamb_hip.cpp 2025-08-14T21:37:55.6452803Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_none_hip.cpp 2025-08-14T21:37:55.6453052Z /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 2025-08-14T21:37:55.6453276Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_sgd_hip.cpp 2025-08-14T21:37:55.6453516Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_rowwise_adagrad_hip.cpp 2025-08-14T21:37:55.6453775Z /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 2025-08-14T21:37:55.6454041Z /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 2025-08-14T21:37:55.6454294Z /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 2025-08-14T21:37:55.6454535Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_weighted_adagrad_hip.cpp 2025-08-14T21:37:55.6454849Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_ssd_rowwise_adagrad_hip.cpp 2025-08-14T21:37:55.6455086Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_weighted_meta_hip.cpp 2025-08-14T21:37:55.6455327Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_unweighted_meta_hip.cpp 2025-08-14T21:37:55.6455576Z /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 2025-08-14T21:37:55.6455829Z /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 2025-08-14T21:37:55.6456993Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_weighted_meta_hip.cpp 2025-08-14T21:37:55.6457235Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_unweighted_meta_hip.cpp 2025-08-14T21:37:55.6457466Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_weighted_meta_hip.cpp 2025-08-14T21:37:55.6457699Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_unweighted_meta_hip.cpp 2025-08-14T21:37:55.6458001Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lamb_split_weighted_meta_hip.cpp 2025-08-14T21:37:55.6458235Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lamb_split_unweighted_meta_hip.cpp 2025-08-14T21:37:55.6458624Z /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 2025-08-14T21:37:55.6458868Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lars_sgd_split_unweighted_meta_hip.cpp 2025-08-14T21:37:55.6459124Z /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 2025-08-14T21:37:55.6459385Z /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 2025-08-14T21:37:55.6459643Z /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 2025-08-14T21:37:55.6459903Z /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 2025-08-14T21:37:55.6460142Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_none_split_weighted_meta_hip.cpp 2025-08-14T21:37:55.6460375Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_none_split_unweighted_meta_hip.cpp 2025-08-14T21:37:55.6460646Z /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 2025-08-14T21:37:55.6460917Z /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 2025-08-14T21:37:55.6460959Z   2025-08-14T21:37:55.6461025Z Library Dependencies: 2025-08-14T21:37:55.6461070Z torch 2025-08-14T21:37:55.6461122Z torch_library 2025-08-14T21:37:55.6461249Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:55.6462234Z fbgemm_gpu_config 2025-08-14T21:37:55.6462342Z fbgemm_gpu_tbe_utils 2025-08-14T21:37:55.6462383Z   2025-08-14T21:37:55.6462434Z Output Library: 2025-08-14T21:37:55.6462513Z fbgemm_gpu_tbe_training_backward_split_host 2025-08-14T21:37:55.6462554Z   2025-08-14T21:37:55.6462610Z Destination Directory: 2025-08-14T21:37:55.6462657Z fbgemm_gpu 2025-08-14T21:37:55.6462740Z ================================================================================ 2025-08-14T21:37:55.6462781Z  2025-08-14T21:37:55.6462876Z -- Writing tmp_Dexof8lr6HgXl1VQ into file - file_tmp_Dexof8lr6HgXl1VQ.txt 2025-08-14T21:37:55.6636043Z  2025-08-14T21:37:55.6636163Z  2025-08-14T21:37:55.6636268Z ================================================================================ 2025-08-14T21:37:55.6636391Z GPU CPP Library Target: fbgemm_gpu_tbe_index_select (SHARED) 2025-08-14T21:37:55.6636434Z   2025-08-14T21:37:55.6636505Z CPU_SRCS: 2025-08-14T21:37:55.6636632Z codegen/training/index_select/batch_index_select_dim0_cpu_host.cpp 2025-08-14T21:37:55.6636743Z codegen/training/index_select/batch_index_select_dim0_ops.cpp 2025-08-14T21:37:55.6636792Z   2025-08-14T21:37:55.6636837Z GPU_SRCS: 2025-08-14T21:37:55.6638931Z codegen/training/index_select/batch_index_select_dim0_host.cpp 2025-08-14T21:37:55.6639191Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_forward_codegen_cuda.cu 2025-08-14T21:37:55.6639413Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_forward_kernel.cu 2025-08-14T21:37:55.6639638Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_forward_kernel_small.cu 2025-08-14T21:37:55.6639954Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_backward_codegen_cuda.cu 2025-08-14T21:37:55.6640178Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_backward_kernel_cta.cu 2025-08-14T21:37:55.6640401Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_backward_kernel_warp.cu 2025-08-14T21:37:55.6640622Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_grad_index_select.cu 2025-08-14T21:37:55.6640665Z   2025-08-14T21:37:55.6640728Z CUDA_SPECIFIC_SRCS: 2025-08-14T21:37:55.6640789Z  2025-08-14T21:37:55.6640832Z   2025-08-14T21:37:55.6640885Z HIP_SPECIFIC_SRCS: 2025-08-14T21:37:55.6640930Z  2025-08-14T21:37:55.6640975Z   2025-08-14T21:37:55.6641022Z OTHER_SRCS: 2025-08-14T21:37:55.6641061Z  2025-08-14T21:37:55.6641105Z   2025-08-14T21:37:55.6641149Z CC_FLAGS: 2025-08-14T21:37:55.6641189Z  2025-08-14T21:37:55.6642467Z   2025-08-14T21:37:55.6642519Z NVCC_FLAGS: 2025-08-14T21:37:55.6642588Z --expt-relaxed-constexpr 2025-08-14T21:37:55.6642652Z -D__CUDA_NO_HALF_OPERATORS__ 2025-08-14T21:37:55.6642720Z -D__CUDA_NO_BFLOAT16_CONVERSIONS__ 2025-08-14T21:37:55.6642793Z -D__CUDA_NO_HALF2_OPERATORS__ 2025-08-14T21:37:55.6642837Z   2025-08-14T21:37:55.6642884Z HIPCC_FLAGS: 2025-08-14T21:37:55.6642925Z  2025-08-14T21:37:55.6642964Z   2025-08-14T21:37:55.6643013Z INCLUDE_DIRS: 2025-08-14T21:37:55.6643110Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:55.6643188Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:55.6643277Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:55.6643377Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:55.6643490Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:55.6643704Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:55.6643818Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src 2025-08-14T21:37:55.6643941Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cpuinfo/include 2025-08-14T21:37:55.6644058Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/include 2025-08-14T21:37:55.6644196Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/tools/util/include 2025-08-14T21:37:55.6644332Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/include 2025-08-14T21:37:55.6644485Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/library/include 2025-08-14T21:37:55.6644605Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/json/include 2025-08-14T21:37:55.6645799Z   2025-08-14T21:37:55.6645862Z Selected Source Files: 2025-08-14T21:37:55.6645982Z codegen/training/index_select/batch_index_select_dim0_cpu_host.cpp 2025-08-14T21:37:55.6646088Z codegen/training/index_select/batch_index_select_dim0_ops.cpp 2025-08-14T21:37:55.6646198Z codegen/training/index_select/batch_index_select_dim0_host.cpp 2025-08-14T21:37:55.6646431Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_forward_codegen_cuda.cu 2025-08-14T21:37:55.6646646Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_forward_kernel.cu 2025-08-14T21:37:55.6646870Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_forward_kernel_small.cu 2025-08-14T21:37:55.6647133Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_backward_codegen_cuda.cu 2025-08-14T21:37:55.6647358Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_backward_kernel_cta.cu 2025-08-14T21:37:55.6647581Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_backward_kernel_warp.cu 2025-08-14T21:37:55.6647801Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_grad_index_select.cu 2025-08-14T21:37:55.6647843Z   2025-08-14T21:37:55.6648003Z HIPified Source Files: 2025-08-14T21:37:55.6648208Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/index_select/batch_index_select_dim0_cpu_host_hip.cpp 2025-08-14T21:37:55.6648412Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/index_select/batch_index_select_dim0_ops_hip.cpp 2025-08-14T21:37:55.6648601Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/index_select/batch_index_select_dim0_host.cpp 2025-08-14T21:37:55.6648828Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_forward_codegen_hip.hip 2025-08-14T21:37:55.6649044Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_forward_kernel.hip 2025-08-14T21:37:55.6649269Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_forward_kernel_small.hip 2025-08-14T21:37:55.6649493Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_backward_codegen_hip.hip 2025-08-14T21:37:55.6650683Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_backward_kernel_cta.hip 2025-08-14T21:37:55.6650919Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_backward_kernel_warp.hip 2025-08-14T21:37:55.6651194Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_grad_index_select.hip 2025-08-14T21:37:55.6651235Z   2025-08-14T21:37:55.6651292Z Library Dependencies: 2025-08-14T21:37:55.6651334Z torch 2025-08-14T21:37:55.6651384Z torch_library 2025-08-14T21:37:55.6651505Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:55.6651568Z fbgemm_gpu_sparse_async_cumsum 2025-08-14T21:37:55.6651625Z fbgemm_gpu_tbe_utils 2025-08-14T21:37:55.6651665Z   2025-08-14T21:37:55.6651717Z Output Library: 2025-08-14T21:37:55.6651777Z fbgemm_gpu_tbe_index_select 2025-08-14T21:37:55.6651817Z   2025-08-14T21:37:55.6651875Z Destination Directory: 2025-08-14T21:37:55.6651921Z fbgemm_gpu 2025-08-14T21:37:55.6652002Z ================================================================================ 2025-08-14T21:37:55.6652042Z  2025-08-14T21:37:55.6652138Z -- Writing tmp_0rtSzYFsImW4NInQ into file - file_tmp_0rtSzYFsImW4NInQ.txt 2025-08-14T21:37:55.6851668Z  2025-08-14T21:37:55.6851819Z  2025-08-14T21:37:55.6857700Z ================================================================================ 2025-08-14T21:37:55.6858233Z GPU CPP Library Target: fbgemm_gpu_embedding_inplace_ops (SHARED) 2025-08-14T21:37:55.6858370Z   2025-08-14T21:37:55.6858501Z CPU_SRCS: 2025-08-14T21:37:55.6858814Z src/embedding_inplace_ops/embedding_inplace_update_cpu.cpp 2025-08-14T21:37:55.6858936Z   2025-08-14T21:37:55.6859067Z GPU_SRCS: 2025-08-14T21:37:55.6859361Z src/embedding_inplace_ops/embedding_inplace_update_gpu.cpp 2025-08-14T21:37:55.6859878Z src/embedding_inplace_ops/embedding_inplace_update.cu 2025-08-14T21:37:55.6859994Z   2025-08-14T21:37:55.6860149Z CUDA_SPECIFIC_SRCS: 2025-08-14T21:37:55.6860272Z  2025-08-14T21:37:55.6860412Z   2025-08-14T21:37:55.6860572Z HIP_SPECIFIC_SRCS: 2025-08-14T21:37:55.6860685Z  2025-08-14T21:37:55.6860801Z   2025-08-14T21:37:55.6860929Z OTHER_SRCS: 2025-08-14T21:37:55.6861047Z  2025-08-14T21:37:55.6861160Z   2025-08-14T21:37:55.6861288Z CC_FLAGS: 2025-08-14T21:37:55.6861399Z  2025-08-14T21:37:55.6863907Z   2025-08-14T21:37:55.6863956Z NVCC_FLAGS: 2025-08-14T21:37:55.6864033Z --expt-relaxed-constexpr 2025-08-14T21:37:55.6864093Z -D__CUDA_NO_HALF_OPERATORS__ 2025-08-14T21:37:55.6864161Z -D__CUDA_NO_BFLOAT16_CONVERSIONS__ 2025-08-14T21:37:55.6864220Z -D__CUDA_NO_HALF2_OPERATORS__ 2025-08-14T21:37:55.6864261Z   2025-08-14T21:37:55.6864308Z HIPCC_FLAGS: 2025-08-14T21:37:55.6864354Z  2025-08-14T21:37:55.6864393Z   2025-08-14T21:37:55.6864441Z INCLUDE_DIRS: 2025-08-14T21:37:55.6864543Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:55.6864621Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:55.6864710Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:55.6864802Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:55.6864919Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:55.6865075Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:55.6865190Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src 2025-08-14T21:37:55.6865308Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cpuinfo/include 2025-08-14T21:37:55.6865425Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/include 2025-08-14T21:37:55.6866783Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/tools/util/include 2025-08-14T21:37:55.6866932Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/include 2025-08-14T21:37:55.6867186Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/library/include 2025-08-14T21:37:55.6867301Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/json/include 2025-08-14T21:37:55.6867342Z   2025-08-14T21:37:55.6867400Z Selected Source Files: 2025-08-14T21:37:55.6867505Z src/embedding_inplace_ops/embedding_inplace_update_cpu.cpp 2025-08-14T21:37:55.6867607Z src/embedding_inplace_ops/embedding_inplace_update_gpu.cpp 2025-08-14T21:37:55.6867700Z src/embedding_inplace_ops/embedding_inplace_update.cu 2025-08-14T21:37:55.6867740Z   2025-08-14T21:37:55.6867795Z HIPified Source Files: 2025-08-14T21:37:55.6868052Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/embedding_inplace_ops/embedding_inplace_update_cpu.cpp 2025-08-14T21:37:55.6868240Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/embedding_inplace_ops/embedding_inplace_update_gpu_hip.cpp 2025-08-14T21:37:55.6868415Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/embedding_inplace_ops/embedding_inplace_update.hip 2025-08-14T21:37:55.6868455Z   2025-08-14T21:37:55.6868512Z Library Dependencies: 2025-08-14T21:37:55.6868555Z torch 2025-08-14T21:37:55.6868604Z torch_library 2025-08-14T21:37:55.6868724Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:55.6868765Z   2025-08-14T21:37:55.6868814Z Output Library: 2025-08-14T21:37:55.6868879Z fbgemm_gpu_embedding_inplace_ops 2025-08-14T21:37:55.6869929Z   2025-08-14T21:37:55.6869990Z Destination Directory: 2025-08-14T21:37:55.6870036Z fbgemm_gpu 2025-08-14T21:37:55.6870117Z ================================================================================ 2025-08-14T21:37:55.6870206Z  2025-08-14T21:37:55.6870304Z -- Writing tmp_PLPBK10GItnM6shV into file - file_tmp_PLPBK10GItnM6shV.txt 2025-08-14T21:37:55.7298933Z  2025-08-14T21:37:55.7299111Z  2025-08-14T21:37:55.7299384Z ================================================================================ 2025-08-14T21:37:55.7299671Z GPU CPP Library Target: fbgemm_gpu_py (SHARED) 2025-08-14T21:37:55.7299789Z   2025-08-14T21:37:55.7299981Z CPU_SRCS: 2025-08-14T21:37:55.7300164Z src/memory_utils/memory_utils.cpp 2025-08-14T21:37:55.7300360Z src/memory_utils/memory_utils_ops.cpp 2025-08-14T21:37:55.7300684Z src/merge_pooled_embedding_ops/merge_pooled_embedding_ops_cpu.cpp 2025-08-14T21:37:55.7301015Z src/permute_multi_embedding_ops/permute_multi_embedding_function.cpp 2025-08-14T21:37:55.7301331Z src/permute_multi_embedding_ops/permute_multi_embedding_ops_cpu.cpp 2025-08-14T21:37:55.7301676Z src/permute_pooled_embedding_ops/permute_pooled_embedding_function.cpp 2025-08-14T21:37:55.7305241Z src/permute_pooled_embedding_ops/permute_pooled_embedding_ops_cpu.cpp 2025-08-14T21:37:55.7305405Z src/permute_pooled_embedding_ops/permute_pooled_embedding_ops_split_cpu.cpp 2025-08-14T21:37:55.7305503Z src/jagged_tensor_ops/jagged_tensor_ops_autograd.cpp 2025-08-14T21:37:55.7305591Z src/jagged_tensor_ops/jagged_tensor_ops_meta.cpp 2025-08-14T21:37:55.7305677Z src/jagged_tensor_ops/jagged_tensor_ops_cpu.cpp 2025-08-14T21:37:55.7305758Z src/input_combine_ops/input_combine_cpu.cpp 2025-08-14T21:37:55.7305859Z src/layout_transform_ops/layout_transform_ops_cpu.cpp 2025-08-14T21:37:55.7305929Z src/quantize_ops/quantize_ops_cpu.cpp 2025-08-14T21:37:55.7306001Z src/quantize_ops/quantize_ops_meta.cpp 2025-08-14T21:37:55.7306091Z src/sparse_ops/sparse_async_batched_cumsum.cpp 2025-08-14T21:37:55.7306157Z src/sparse_ops/sparse_ops_cpu.cpp 2025-08-14T21:37:55.7306229Z src/sparse_ops/sparse_ops_meta.cpp 2025-08-14T21:37:55.7306293Z src/tbe/eeg/eeg_models.cpp 2025-08-14T21:37:55.7306351Z src/tbe/eeg/eeg_utils.cpp 2025-08-14T21:37:55.7306516Z src/tbe/eeg/indices_estimator_ops.cpp 2025-08-14T21:37:55.7306582Z src/tbe/eeg/indices_estimator.cpp 2025-08-14T21:37:55.7306647Z src/tbe/eeg/indices_generator_ops.cpp 2025-08-14T21:37:55.7306717Z src/tbe/eeg/indices_generator.cpp 2025-08-14T21:37:55.7306846Z src/intraining_embedding_pruning_ops/intraining_embedding_pruning_gpu.cpp 2025-08-14T21:37:55.7306945Z src/layout_transform_ops/layout_transform_ops_gpu.cpp 2025-08-14T21:37:55.7307067Z src/permute_pooled_embedding_ops/permute_pooled_embedding_ops_gpu.cpp 2025-08-14T21:37:55.7307202Z src/permute_pooled_embedding_ops/permute_pooled_embedding_ops_split_gpu.cpp 2025-08-14T21:37:55.7307278Z src/quantize_ops/quantize_ops_gpu.cpp 2025-08-14T21:37:55.7307349Z src/sparse_ops/sparse_ops_gpu.cpp 2025-08-14T21:37:55.7307435Z src/metric_ops/metric_ops_host.cpp 2025-08-14T21:37:55.7307518Z src/input_combine_ops/input_combine_gpu.cpp 2025-08-14T21:37:55.7307644Z src/merge_pooled_embedding_ops/merge_pooled_embedding_ops_gpu.cpp 2025-08-14T21:37:55.7307716Z src/topology_utils.cpp 2025-08-14T21:37:55.7307768Z   2025-08-14T21:37:55.7307819Z GPU_SRCS: 2025-08-14T21:37:55.7308006Z src/histogram_binning_calibration_ops.cu 2025-08-14T21:37:55.7308086Z src/input_combine_ops/input_combine.cu 2025-08-14T21:37:55.7308211Z src/intraining_embedding_pruning_ops/intraining_embedding_pruning.cu 2025-08-14T21:37:55.7308281Z src/memory_utils/memory_utils.cu 2025-08-14T21:37:55.7308358Z src/memory_utils/memory_utils_ops.cu 2025-08-14T21:37:55.7308471Z src/jagged_tensor_ops/batched_dense_vec_jagged_2d_mul_backward.cu 2025-08-14T21:37:55.7308588Z src/jagged_tensor_ops/batched_dense_vec_jagged_2d_mul_forward.cu 2025-08-14T21:37:55.7308729Z src/jagged_tensor_ops/dense_to_jagged_forward.cu 2025-08-14T21:37:55.7308823Z src/jagged_tensor_ops/jagged_dense_bmm_forward.cu 2025-08-14T21:37:55.7308968Z src/jagged_tensor_ops/jagged_dense_dense_elementwise_add_jagged_output_forward.cu 2025-08-14T21:37:55.7309086Z src/jagged_tensor_ops/jagged_dense_elementwise_mul_backward.cu 2025-08-14T21:37:55.7309192Z src/jagged_tensor_ops/jagged_dense_elementwise_mul_forward.cu 2025-08-14T21:37:55.7309292Z src/jagged_tensor_ops/jagged_index_add_2d_forward.cu 2025-08-14T21:37:55.7311134Z src/jagged_tensor_ops/jagged_index_select_2d_forward.cu 2025-08-14T21:37:55.7311237Z src/jagged_tensor_ops/jagged_jagged_bmm_forward.cu 2025-08-14T21:37:55.7311324Z src/jagged_tensor_ops/jagged_softmax_backward.cu 2025-08-14T21:37:55.7311404Z src/jagged_tensor_ops/jagged_softmax_forward.cu 2025-08-14T21:37:55.7311485Z src/jagged_tensor_ops/jagged_tensor_ops.cu 2025-08-14T21:37:55.7311580Z src/jagged_tensor_ops/jagged_to_padded_dense_backward.cu 2025-08-14T21:37:55.7311673Z src/jagged_tensor_ops/jagged_to_padded_dense_forward.cu 2025-08-14T21:37:55.7311766Z src/jagged_tensor_ops/jagged_unique_indices.cu 2025-08-14T21:37:55.7311859Z src/jagged_tensor_ops/keyed_jagged_index_select_dim1.cu 2025-08-14T21:37:55.7311940Z src/layout_transform_ops/layout_transform_ops.cu 2025-08-14T21:37:55.7312002Z src/metric_ops/metric_ops.cu 2025-08-14T21:37:55.7312118Z src/permute_pooled_embedding_ops/permute_pooled_embedding_ops_split.cu 2025-08-14T21:37:55.7312228Z src/permute_pooled_embedding_ops/permute_pooled_embedding_ops.cu 2025-08-14T21:37:55.7312334Z src/permute_multi_embedding_ops/permute_multi_embedding_ops.cu 2025-08-14T21:37:55.7312405Z src/quantize_ops/quantize_bfloat16.cu 2025-08-14T21:37:55.7312475Z src/quantize_ops/quantize_fp8_rowwise.cu 2025-08-14T21:37:55.7312561Z src/quantize_ops/quantize_fused_8bit_rowwise.cu 2025-08-14T21:37:55.7312640Z src/quantize_ops/quantize_fused_nbit_rowwise.cu 2025-08-14T21:37:55.7312706Z src/quantize_ops/quantize_hfp8.cu 2025-08-14T21:37:55.7312821Z src/quantize_ops/quantize_msfp.cu 2025-08-14T21:37:55.7312902Z src/quantize_ops/quantize_padded_fp8_rowwise.cu 2025-08-14T21:37:55.7312964Z src/quantize_ops/quantize_mx.cu 2025-08-14T21:37:55.7313046Z src/sparse_ops/sparse_async_batched_cumsum.cu 2025-08-14T21:37:55.7313131Z src/sparse_ops/sparse_block_bucketize_features.cu 2025-08-14T21:37:55.7313206Z src/sparse_ops/sparse_bucketize_features.cu 2025-08-14T21:37:55.7313290Z src/sparse_ops/sparse_batched_unary_embeddings.cu 2025-08-14T21:37:55.7313378Z src/sparse_ops/sparse_compute_frequency_sequence.cu 2025-08-14T21:37:55.7313466Z src/sparse_ops/sparse_expand_into_jagged_permute.cu 2025-08-14T21:37:55.7313532Z src/sparse_ops/sparse_group_index.cu 2025-08-14T21:37:55.7313601Z src/sparse_ops/sparse_index_add.cu 2025-08-14T21:37:55.7313667Z src/sparse_ops/sparse_index_select.cu 2025-08-14T21:37:55.7313742Z src/sparse_ops/sparse_invert_permute.cu 2025-08-14T21:37:55.7313823Z src/sparse_ops/sparse_pack_segments_backward.cu 2025-08-14T21:37:55.7313902Z src/sparse_ops/sparse_pack_segments_forward.cu 2025-08-14T21:37:55.7313967Z src/sparse_ops/sparse_permute_1d.cu 2025-08-14T21:37:55.7314031Z src/sparse_ops/sparse_permute_2d.cu 2025-08-14T21:37:55.7314095Z src/sparse_ops/sparse_permute102.cu 2025-08-14T21:37:55.7314169Z src/sparse_ops/sparse_permute_embeddings.cu 2025-08-14T21:37:55.7314229Z src/sparse_ops/sparse_range.cu 2025-08-14T21:37:55.7314303Z src/sparse_ops/sparse_reorder_batched_ad.cu 2025-08-14T21:37:55.7314372Z src/sparse_ops/sparse_segment_sum_csr.cu 2025-08-14T21:37:55.7314433Z src/sparse_ops/sparse_zipf.cu 2025-08-14T21:37:55.7315665Z   2025-08-14T21:37:55.7315725Z CUDA_SPECIFIC_SRCS: 2025-08-14T21:37:55.7315766Z  2025-08-14T21:37:55.7315806Z   2025-08-14T21:37:55.7315859Z HIP_SPECIFIC_SRCS: 2025-08-14T21:37:55.7315905Z  2025-08-14T21:37:55.7315945Z   2025-08-14T21:37:55.7315998Z OTHER_SRCS: 2025-08-14T21:37:55.7316037Z  2025-08-14T21:37:55.7316078Z   2025-08-14T21:37:55.7316122Z CC_FLAGS: 2025-08-14T21:37:55.7316162Z  2025-08-14T21:37:55.7316200Z   2025-08-14T21:37:55.7316246Z NVCC_FLAGS: 2025-08-14T21:37:55.7316309Z --expt-relaxed-constexpr 2025-08-14T21:37:55.7316368Z -D__CUDA_NO_HALF_OPERATORS__ 2025-08-14T21:37:55.7316434Z -D__CUDA_NO_BFLOAT16_CONVERSIONS__ 2025-08-14T21:37:55.7316495Z -D__CUDA_NO_HALF2_OPERATORS__ 2025-08-14T21:37:55.7316534Z   2025-08-14T21:37:55.7316581Z HIPCC_FLAGS: 2025-08-14T21:37:55.7316620Z  2025-08-14T21:37:55.7316664Z   2025-08-14T21:37:55.7317640Z INCLUDE_DIRS: 2025-08-14T21:37:55.7317748Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:55.7317825Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:55.7317991Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:55.7318086Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:55.7318202Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:55.7318355Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:55.7318469Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src 2025-08-14T21:37:55.7318588Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cpuinfo/include 2025-08-14T21:37:55.7318728Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/include 2025-08-14T21:37:55.7318865Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/tools/util/include 2025-08-14T21:37:55.7319002Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/include 2025-08-14T21:37:55.7319215Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/library/include 2025-08-14T21:37:55.7319329Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/json/include 2025-08-14T21:37:55.7319370Z   2025-08-14T21:37:55.7319426Z Selected Source Files: 2025-08-14T21:37:55.7319491Z src/memory_utils/memory_utils.cpp 2025-08-14T21:37:55.7319557Z src/memory_utils/memory_utils_ops.cpp 2025-08-14T21:37:55.7319667Z src/merge_pooled_embedding_ops/merge_pooled_embedding_ops_cpu.cpp 2025-08-14T21:37:55.7319779Z src/permute_multi_embedding_ops/permute_multi_embedding_function.cpp 2025-08-14T21:37:55.7319889Z src/permute_multi_embedding_ops/permute_multi_embedding_ops_cpu.cpp 2025-08-14T21:37:55.7320970Z src/permute_pooled_embedding_ops/permute_pooled_embedding_function.cpp 2025-08-14T21:37:55.7321090Z src/permute_pooled_embedding_ops/permute_pooled_embedding_ops_cpu.cpp 2025-08-14T21:37:55.7321223Z src/permute_pooled_embedding_ops/permute_pooled_embedding_ops_split_cpu.cpp 2025-08-14T21:37:55.7321315Z src/jagged_tensor_ops/jagged_tensor_ops_autograd.cpp 2025-08-14T21:37:55.7321399Z src/jagged_tensor_ops/jagged_tensor_ops_meta.cpp 2025-08-14T21:37:55.7321479Z src/jagged_tensor_ops/jagged_tensor_ops_cpu.cpp 2025-08-14T21:37:55.7321555Z src/input_combine_ops/input_combine_cpu.cpp 2025-08-14T21:37:55.7321646Z src/layout_transform_ops/layout_transform_ops_cpu.cpp 2025-08-14T21:37:55.7321714Z src/quantize_ops/quantize_ops_cpu.cpp 2025-08-14T21:37:55.7321782Z src/quantize_ops/quantize_ops_meta.cpp 2025-08-14T21:37:55.7321863Z src/sparse_ops/sparse_async_batched_cumsum.cpp 2025-08-14T21:37:55.7321926Z src/sparse_ops/sparse_ops_cpu.cpp 2025-08-14T21:37:55.7322035Z src/sparse_ops/sparse_ops_meta.cpp 2025-08-14T21:37:55.7322094Z src/tbe/eeg/eeg_models.cpp 2025-08-14T21:37:55.7322151Z src/tbe/eeg/eeg_utils.cpp 2025-08-14T21:37:55.7322221Z src/tbe/eeg/indices_estimator_ops.cpp 2025-08-14T21:37:55.7322282Z src/tbe/eeg/indices_estimator.cpp 2025-08-14T21:37:55.7322346Z src/tbe/eeg/indices_generator_ops.cpp 2025-08-14T21:37:55.7322407Z src/tbe/eeg/indices_generator.cpp 2025-08-14T21:37:55.7322529Z src/intraining_embedding_pruning_ops/intraining_embedding_pruning_gpu.cpp 2025-08-14T21:37:55.7322620Z src/layout_transform_ops/layout_transform_ops_gpu.cpp 2025-08-14T21:37:55.7322732Z src/permute_pooled_embedding_ops/permute_pooled_embedding_ops_gpu.cpp 2025-08-14T21:37:55.7323770Z src/permute_pooled_embedding_ops/permute_pooled_embedding_ops_split_gpu.cpp 2025-08-14T21:37:55.7323842Z 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torch_library 2025-08-14T21:37:55.7349950Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:55.7349995Z fbgemm 2025-08-14T21:37:55.7350058Z fbgemm_gpu_sparse_async_cumsum 2025-08-14T21:37:55.7350121Z fbgemm_gpu_embedding_inplace_ops 2025-08-14T21:37:55.7350180Z fbgemm_gpu_tbe_index_select 2025-08-14T21:37:55.7350236Z fbgemm_gpu_tbe_cache 2025-08-14T21:37:55.7350294Z fbgemm_gpu_tbe_optimizers 2025-08-14T21:37:55.7350348Z fbgemm_gpu_tbe_utils 2025-08-14T21:37:55.7350388Z   2025-08-14T21:37:55.7350438Z Output Library: 2025-08-14T21:37:55.7350493Z fbgemm_gpu_py 2025-08-14T21:37:55.7350534Z   2025-08-14T21:37:55.7350589Z Destination Directory: 2025-08-14T21:37:55.7350634Z fbgemm_gpu 2025-08-14T21:37:55.7351632Z ================================================================================ 2025-08-14T21:37:55.7351677Z  2025-08-14T21:37:55.7351720Z -- Configuring done (27.1s) 2025-08-14T21:37:55.9790675Z -- Generating done (0.2s) 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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 2025-08-14T21:38:31.9890698Z [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_split_approx_rowwise_adagrad_hip.cpp.o 2025-08-14T21:38:31.9893866Z [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_split_rowwise_weighted_adagrad_hip.cpp.o 2025-08-14T21:38:31.9895670Z [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_split_approx_rowwise_adagrad_with_counter_hip.cpp.o 2025-08-14T21:38:31.9897711Z [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_split_approx_rowwise_adagrad_with_weight_decay_hip.cpp.o 2025-08-14T21:38:31.9903583Z [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_split_rowwise_adagrad_with_weight_decay_hip.cpp.o 2025-08-14T21:38:31.9904268Z [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_ssd_rowwise_adagrad_hip.cpp.o 2025-08-14T21:38:31.9904887Z [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_adagrad_split_weighted_meta_hip.cpp.o 2025-08-14T21:38:31.9906175Z [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_adagrad_split_unweighted_meta_hip.cpp.o 2025-08-14T21:38:31.9909312Z [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_sgd_split_weighted_meta_hip.cpp.o 2025-08-14T21:38:31.9909959Z [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_split_weighted_meta_hip.cpp.o 2025-08-14T21:38:31.9912717Z [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_split_unweighted_meta_hip.cpp.o 2025-08-14T21:38:31.9915407Z [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_sgd_split_unweighted_meta_hip.cpp.o 2025-08-14T21:38:31.9916894Z [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_adam_split_weighted_meta_hip.cpp.o 2025-08-14T21:38:31.9918865Z [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_adam_split_unweighted_meta_hip.cpp.o 2025-08-14T21:38:31.9923978Z [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_lamb_split_weighted_meta_hip.cpp.o 2025-08-14T21:38:31.9924673Z [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_lamb_split_unweighted_meta_hip.cpp.o 2025-08-14T21:38:31.9925625Z [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_lars_sgd_split_weighted_meta_hip.cpp.o 2025-08-14T21:38:31.9926268Z [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_lars_sgd_split_unweighted_meta_hip.cpp.o 2025-08-14T21:38:31.9928091Z [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_weighted_meta_hip.cpp.o 2025-08-14T21:38:31.9929880Z [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_adam_split_weighted_meta_hip.cpp.o 2025-08-14T21:38:31.9930578Z [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_adam_split_unweighted_meta_hip.cpp.o 2025-08-14T21:38:31.9934216Z [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 2025-08-14T21:38:31.9935768Z [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 2025-08-14T21:38:31.9937790Z [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 2025-08-14T21:38:31.9943827Z [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 2025-08-14T21:38:31.9945333Z [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 2025-08-14T21:38:31.9946701Z [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 2025-08-14T21:38:31.9947449Z ################################################################################ 2025-08-14T21:38:31.9947658Z [CMAKE] Running post-build script ... 2025-08-14T21:38:31.9948221Z Target file: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_tbe_utils.so 2025-08-14T21:38:31.9948586Z Removing all RPATHs ... 2025-08-14T21:38:31.9948763Z ################################################################################ 2025-08-14T21:38:44.9141080Z 2025-08-14T21:38:45.6160587Z [114/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_common.dir/codegen/training/pt2/fbgemm_gpu_tbe_common_generated_pt2_autograd_utils.cpp.o 2025-08-14T21:38:45.8472513Z [115/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_inference.dir/fbgemm_gpu_tbe_inference_generated_gen_embedding_forward_quantized_weighted_codegen_cpu_hip.cpp.o 2025-08-14T21:38:46.6735210Z [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 2025-08-14T21:38:47.7940592Z [117/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_inference.dir/fbgemm_gpu_tbe_inference_generated_gen_embedding_forward_quantized_unweighted_codegen_cpu_hip.cpp.o 2025-08-14T21:38:50.9554113Z [118/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_common.dir/codegen/utils/fbgemm_gpu_tbe_common_generated_embedding_bounds_check_host_hip.cpp.o 2025-08-14T21:38:51.0740843Z [119/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_inference.dir/codegen/inference/fbgemm_gpu_tbe_inference_generated_embedding_forward_quantized_split_lookup.hip.o 2025-08-14T21:38:52.1317713Z [120/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_common.dir/codegen/utils/fbgemm_gpu_tbe_common_generated_embedding_bounds_check_v1.hip.o 2025-08-14T21:38:52.3280572Z [121/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_common.dir/codegen/utils/fbgemm_gpu_tbe_common_generated_embedding_bounds_check_host_cpu_hip.cpp.o 2025-08-14T21:38:53.1585485Z [122/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_common.dir/codegen/utils/fbgemm_gpu_tbe_common_generated_embedding_bounds_check_v2.hip.o 2025-08-14T21:38:53.2466603Z [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_adagrad_split_weighted_meta_hip.cpp.o 2025-08-14T21:38:53.2968246Z [124/612] 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 2025-08-14T21:38:53.3870795Z [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_adam_split_weighted_meta_hip.cpp.o 2025-08-14T21:38:53.9663964Z [126/612] 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 2025-08-14T21:38:54.0494158Z [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_none_split_weighted_meta_hip.cpp.o 2025-08-14T21:38:54.1886036Z [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_rowwise_adagrad_split_weighted_meta_hip.cpp.o 2025-08-14T21:38:54.1940976Z [129/612] 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 2025-08-14T21:38:54.6226911Z [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_lars_sgd_split_unweighted_meta_hip.cpp.o 2025-08-14T21:38:55.0232428Z [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_partial_rowwise_adam_split_unweighted_meta_hip.cpp.o 2025-08-14T21:38:55.1045142Z [132/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_inference.dir/codegen/inference/fbgemm_gpu_tbe_inference_generated_embedding_forward_quantized_host_cpu_hip.cpp.o 2025-08-14T21:38:55.2839551Z [133/612] 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 2025-08-14T21:38:55.5307021Z [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_partial_rowwise_adam_split_weighted_meta_hip.cpp.o 2025-08-14T21:38:55.5392075Z [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_rowwise_adagrad_with_counter_split_unweighted_meta_hip.cpp.o 2025-08-14T21:38:55.6457000Z [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_weighted_meta_hip.cpp.o 2025-08-14T21:38:56.0233329Z [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_partial_rowwise_lamb_split_unweighted_meta_hip.cpp.o 2025-08-14T21:38:56.0523673Z [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_lamb_split_unweighted_meta_hip.cpp.o 2025-08-14T21:38:56.2465163Z [139/612] 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 2025-08-14T21:38:56.2475019Z [140/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_common.dir/codegen/training/forward/fbgemm_gpu_tbe_common_generated_embedding_forward_split_cpu_hip.cpp.o 2025-08-14T21:38:56.2476082Z /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] 2025-08-14T21:38:56.2476553Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2476711Z | ^ 2025-08-14T21:38:56.2477050Z /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 2025-08-14T21:38:56.2477528Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2477849Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2488395Z | ^ 2025-08-14T21:38:56.2489113Z /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] 2025-08-14T21:38:56.2489496Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2489624Z | ^~~~~~~~ 2025-08-14T21:38:56.2489978Z /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 2025-08-14T21:38:56.2490493Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:56.2490782Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:56.2490910Z | ^ 2025-08-14T21:38:56.2491244Z /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] 2025-08-14T21:38:56.2491614Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2491735Z | ^~~~~~~~ 2025-08-14T21:38:56.2492200Z /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 2025-08-14T21:38:56.2492700Z 623 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int32_t); 2025-08-14T21:38:56.2492830Z | ^ 2025-08-14T21:38:56.2493130Z /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' 2025-08-14T21:38:56.2493483Z 620 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, float); \ 2025-08-14T21:38:56.2493625Z | ^ 2025-08-14T21:38:56.2493923Z /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' 2025-08-14T21:38:56.2494362Z 616 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, true); \ 2025-08-14T21:38:56.2494517Z | ^ 2025-08-14T21:38:56.2494906Z /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' 2025-08-14T21:38:56.2495287Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:56.2495464Z | ^ 2025-08-14T21:38:56.2495811Z /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 2025-08-14T21:38:56.2496173Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2496294Z | ^ 2025-08-14T21:38:56.2496553Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:56.2496891Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:56.2497019Z | ^ 2025-08-14T21:38:56.2497354Z /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] 2025-08-14T21:38:56.2497719Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2497838Z | ^~~~~~~~ 2025-08-14T21:38:56.2498372Z /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 2025-08-14T21:38:56.2498860Z 623 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int32_t); 2025-08-14T21:38:56.2499015Z | ^ 2025-08-14T21:38:56.2499325Z /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' 2025-08-14T21:38:56.2499751Z 620 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, float); \ 2025-08-14T21:38:56.2499903Z | ^ 2025-08-14T21:38:56.2500211Z /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' 2025-08-14T21:38:56.2500602Z 617 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, false); 2025-08-14T21:38:56.2500828Z | ^ 2025-08-14T21:38:56.2501155Z /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' 2025-08-14T21:38:56.2522686Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:56.2522949Z | ^ 2025-08-14T21:38:56.2523312Z /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 2025-08-14T21:38:56.2523709Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2523831Z | ^ 2025-08-14T21:38:56.2524106Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:56.2524395Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:56.2524526Z | ^ 2025-08-14T21:38:56.2524865Z /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] 2025-08-14T21:38:56.2525244Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2525388Z | ^~~~~~~~ 2025-08-14T21:38:56.2525847Z /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 2025-08-14T21:38:56.2526446Z 623 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int32_t); 2025-08-14T21:38:56.2526575Z | ^ 2025-08-14T21:38:56.2526872Z /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' 2025-08-14T21:38:56.2527221Z 621 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, double); 2025-08-14T21:38:56.2527360Z | ^ 2025-08-14T21:38:56.2527654Z /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' 2025-08-14T21:38:56.2528105Z 616 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, true); \ 2025-08-14T21:38:56.2528254Z | ^ 2025-08-14T21:38:56.2528550Z /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' 2025-08-14T21:38:56.2528974Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:56.2529148Z | ^ 2025-08-14T21:38:56.2529493Z /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 2025-08-14T21:38:56.2529857Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2529978Z | ^ 2025-08-14T21:38:56.2530237Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:56.2530521Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:56.2530647Z | ^ 2025-08-14T21:38:56.2530984Z /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] 2025-08-14T21:38:56.2531437Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2531572Z | ^~~~~~~~ 2025-08-14T21:38:56.2532045Z /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 2025-08-14T21:38:56.2532509Z 623 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int32_t); 2025-08-14T21:38:56.2532638Z | ^ 2025-08-14T21:38:56.2532962Z /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' 2025-08-14T21:38:56.2533340Z 621 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, double); 2025-08-14T21:38:56.2533482Z | ^ 2025-08-14T21:38:56.2533807Z /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' 2025-08-14T21:38:56.2534169Z 617 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, false); 2025-08-14T21:38:56.2534349Z | ^ 2025-08-14T21:38:56.2534705Z /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' 2025-08-14T21:38:56.2535084Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:56.2535255Z | ^ 2025-08-14T21:38:56.2535598Z /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 2025-08-14T21:38:56.2535970Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2536143Z | ^ 2025-08-14T21:38:56.2536460Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:56.2536777Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:56.2536920Z | ^ 2025-08-14T21:38:56.2537280Z /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] 2025-08-14T21:38:56.2537668Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2537804Z | ^~~~~~~~ 2025-08-14T21:38:56.2538383Z /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 2025-08-14T21:38:56.2538883Z 624 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int64_t); 2025-08-14T21:38:56.2539014Z | ^ 2025-08-14T21:38:56.2539322Z /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' 2025-08-14T21:38:56.2539716Z 620 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, float); \ 2025-08-14T21:38:56.2539884Z | ^ 2025-08-14T21:38:56.2540184Z /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' 2025-08-14T21:38:56.2540552Z 616 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, true); \ 2025-08-14T21:38:56.2540714Z | ^ 2025-08-14T21:38:56.2541017Z /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' 2025-08-14T21:38:56.2541403Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:56.2541584Z | ^ 2025-08-14T21:38:56.2542000Z /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 2025-08-14T21:38:56.2542370Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2542495Z | ^ 2025-08-14T21:38:56.2542760Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:56.2543053Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:56.2543210Z | ^ 2025-08-14T21:38:56.2543553Z /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] 2025-08-14T21:38:56.2543916Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2544061Z | ^~~~~~~~ 2025-08-14T21:38:56.2544525Z /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 2025-08-14T21:38:56.2545009Z 624 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int64_t); 2025-08-14T21:38:56.2545154Z | ^ 2025-08-14T21:38:56.2545454Z /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' 2025-08-14T21:38:56.2545818Z 620 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, float); \ 2025-08-14T21:38:56.2545978Z | ^ 2025-08-14T21:38:56.2546277Z /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' 2025-08-14T21:38:56.2546650Z 617 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, false); 2025-08-14T21:38:56.2546842Z | ^ 2025-08-14T21:38:56.2547145Z /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' 2025-08-14T21:38:56.2547632Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:56.2547809Z | ^ 2025-08-14T21:38:56.2553275Z /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 2025-08-14T21:38:56.2553648Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2553771Z | ^ 2025-08-14T21:38:56.2554034Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:56.2554322Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:56.2554451Z | ^ 2025-08-14T21:38:56.2554793Z /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] 2025-08-14T21:38:56.2555222Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2555341Z | ^~~~~~~~ 2025-08-14T21:38:56.2555794Z /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 2025-08-14T21:38:56.2556258Z 624 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int64_t); 2025-08-14T21:38:56.2556385Z | ^ 2025-08-14T21:38:56.2556681Z /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' 2025-08-14T21:38:56.2557037Z 621 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, double); 2025-08-14T21:38:56.2557179Z | ^ 2025-08-14T21:38:56.2557537Z /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' 2025-08-14T21:38:56.2559325Z 616 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, true); \ 2025-08-14T21:38:56.2559480Z | ^ 2025-08-14T21:38:56.2559776Z /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' 2025-08-14T21:38:56.2560153Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:56.2560325Z | ^ 2025-08-14T21:38:56.2560671Z /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 2025-08-14T21:38:56.2561031Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2561153Z | ^ 2025-08-14T21:38:56.2561415Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:56.2561697Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:56.2561822Z | ^ 2025-08-14T21:38:56.2562154Z /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] 2025-08-14T21:38:56.2562511Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2562627Z | ^~~~~~~~ 2025-08-14T21:38:56.2563072Z /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 2025-08-14T21:38:56.2563603Z 624 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int64_t); 2025-08-14T21:38:56.2563732Z | ^ 2025-08-14T21:38:56.2564040Z /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' 2025-08-14T21:38:56.2564403Z 621 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, double); 2025-08-14T21:38:56.2564553Z | ^ 2025-08-14T21:38:56.2564845Z /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' 2025-08-14T21:38:56.2565224Z 617 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, false); 2025-08-14T21:38:56.2565374Z | ^ 2025-08-14T21:38:56.2565665Z /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' 2025-08-14T21:38:56.2566044Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:56.2566213Z | ^ 2025-08-14T21:38:56.2566591Z /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 2025-08-14T21:38:56.2566948Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2567065Z | ^ 2025-08-14T21:38:56.2567320Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:56.2567632Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:56.2567755Z | ^ 2025-08-14T21:38:56.2568180Z /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] 2025-08-14T21:38:56.2568606Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2568761Z | ^ 2025-08-14T21:38:56.2569169Z /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 2025-08-14T21:38:56.2569543Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2569743Z | ^ 2025-08-14T21:38:56.2570220Z /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 2025-08-14T21:38:56.2570679Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2570818Z | ^ 2025-08-14T21:38:56.2571132Z /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 2025-08-14T21:38:56.2571472Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2571619Z | ^ 2025-08-14T21:38:56.2571903Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2572213Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2572365Z | ^ 2025-08-14T21:38:56.2572711Z /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] 2025-08-14T21:38:56.2573088Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2573236Z | ^ 2025-08-14T21:38:56.2573590Z /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 2025-08-14T21:38:56.2573946Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2574113Z | ^ 2025-08-14T21:38:56.2574569Z /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 2025-08-14T21:38:56.2575117Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2575257Z | ^ 2025-08-14T21:38:56.2575574Z /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 2025-08-14T21:38:56.2575916Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2576126Z | ^ 2025-08-14T21:38:56.2576477Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2576810Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2576974Z | ^ 2025-08-14T21:38:56.2577334Z /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] 2025-08-14T21:38:56.2577722Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2577947Z | ^ 2025-08-14T21:38:56.2578304Z /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 2025-08-14T21:38:56.2578656Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2578876Z | ^ 2025-08-14T21:38:56.2579365Z /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 2025-08-14T21:38:56.2579877Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2580020Z | ^ 2025-08-14T21:38:56.2580336Z /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 2025-08-14T21:38:56.2580675Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2580825Z | ^ 2025-08-14T21:38:56.2581285Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2581585Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2581734Z | ^ 2025-08-14T21:38:56.2582082Z /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] 2025-08-14T21:38:56.2582459Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2582604Z | ^ 2025-08-14T21:38:56.2582931Z /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 2025-08-14T21:38:56.2583312Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2583476Z | ^ 2025-08-14T21:38:56.2583934Z /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 2025-08-14T21:38:56.2584398Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2584539Z | ^ 2025-08-14T21:38:56.2584854Z /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 2025-08-14T21:38:56.2585193Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2585341Z | ^ 2025-08-14T21:38:56.2585622Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2585962Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2586112Z | ^ 2025-08-14T21:38:56.2586462Z /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] 2025-08-14T21:38:56.2586839Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2586986Z | ^ 2025-08-14T21:38:56.2587310Z /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 2025-08-14T21:38:56.2587787Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2588033Z | ^ 2025-08-14T21:38:56.2588551Z /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 2025-08-14T21:38:56.2589021Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2589164Z | ^ 2025-08-14T21:38:56.2589482Z /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 2025-08-14T21:38:56.2589824Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2589968Z | ^ 2025-08-14T21:38:56.2590251Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2590555Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2590707Z | ^ 2025-08-14T21:38:56.2591057Z /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] 2025-08-14T21:38:56.2591440Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2591590Z | ^ 2025-08-14T21:38:56.2591915Z /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 2025-08-14T21:38:56.2592273Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2592437Z | ^ 2025-08-14T21:38:56.2592946Z /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 2025-08-14T21:38:56.2593416Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2593560Z | ^ 2025-08-14T21:38:56.2593878Z /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 2025-08-14T21:38:56.2594234Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2594381Z | ^ 2025-08-14T21:38:56.2594661Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2594965Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2595116Z | ^ 2025-08-14T21:38:56.2595518Z /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] 2025-08-14T21:38:56.2595902Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2596051Z | ^ 2025-08-14T21:38:56.2596401Z /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 2025-08-14T21:38:56.2596753Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2596913Z | ^ 2025-08-14T21:38:56.2597390Z /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 2025-08-14T21:38:56.2598033Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2598176Z | ^ 2025-08-14T21:38:56.2598495Z /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 2025-08-14T21:38:56.2598838Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2598986Z | ^ 2025-08-14T21:38:56.2599267Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2599571Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2599723Z | ^ 2025-08-14T21:38:56.2600073Z /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] 2025-08-14T21:38:56.2600456Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2600605Z | ^ 2025-08-14T21:38:56.2600931Z /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 2025-08-14T21:38:56.2601284Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2601449Z | ^ 2025-08-14T21:38:56.2601919Z /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 2025-08-14T21:38:56.2602413Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2602553Z | ^ 2025-08-14T21:38:56.2602869Z /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 2025-08-14T21:38:56.2603206Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2603350Z | ^ 2025-08-14T21:38:56.2603626Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2603925Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2604068Z | ^ 2025-08-14T21:38:56.2604413Z /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] 2025-08-14T21:38:56.2604814Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2605047Z | ^ 2025-08-14T21:38:56.2605482Z /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 2025-08-14T21:38:56.2605869Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2606075Z | ^ 2025-08-14T21:38:56.2606586Z /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 2025-08-14T21:38:56.2607098Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2607291Z | ^ 2025-08-14T21:38:56.2607676Z /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 2025-08-14T21:38:56.2608118Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2608327Z | ^ 2025-08-14T21:38:56.2608641Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2608991Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2609176Z | ^ 2025-08-14T21:38:56.2609565Z /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] 2025-08-14T21:38:56.2609990Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2610170Z | ^ 2025-08-14T21:38:56.2610531Z /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 2025-08-14T21:38:56.2610934Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2611134Z | ^ 2025-08-14T21:38:56.2611646Z /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 2025-08-14T21:38:56.2612162Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2612374Z | ^ 2025-08-14T21:38:56.2612735Z /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 2025-08-14T21:38:56.2613115Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2613286Z | ^ 2025-08-14T21:38:56.2613609Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2613950Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2614128Z | ^ 2025-08-14T21:38:56.2614528Z /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] 2025-08-14T21:38:56.2615002Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2615188Z | ^ 2025-08-14T21:38:56.2615563Z /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 2025-08-14T21:38:56.2615978Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2616189Z | ^ 2025-08-14T21:38:56.2616690Z /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 2025-08-14T21:38:56.2617195Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2617397Z | ^ 2025-08-14T21:38:56.2617750Z /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 2025-08-14T21:38:56.2618218Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2618449Z | ^ 2025-08-14T21:38:56.2618764Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2619117Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2619303Z | ^ 2025-08-14T21:38:56.2619687Z /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] 2025-08-14T21:38:56.2620119Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2620296Z | ^ 2025-08-14T21:38:56.2620671Z /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 2025-08-14T21:38:56.2621064Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2626756Z | ^ 2025-08-14T21:38:56.2627248Z /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 2025-08-14T21:38:56.2627733Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2627979Z | ^ 2025-08-14T21:38:56.2628300Z /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 2025-08-14T21:38:56.2628717Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2628866Z | ^ 2025-08-14T21:38:56.2629151Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2629458Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2629608Z | ^ 2025-08-14T21:38:56.2629957Z /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] 2025-08-14T21:38:56.2630334Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2630476Z | ^ 2025-08-14T21:38:56.2633350Z /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 2025-08-14T21:38:56.2633721Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2633927Z | ^ 2025-08-14T21:38:56.2634389Z /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 2025-08-14T21:38:56.2634859Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2634997Z | ^ 2025-08-14T21:38:56.2635310Z /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 2025-08-14T21:38:56.2635648Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2635791Z | ^ 2025-08-14T21:38:56.2636122Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2636424Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2637957Z | ^ 2025-08-14T21:38:56.2638307Z /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] 2025-08-14T21:38:56.2638680Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2638819Z | ^ 2025-08-14T21:38:56.2639137Z /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 2025-08-14T21:38:56.2639486Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2639643Z | ^ 2025-08-14T21:38:56.2640103Z /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 2025-08-14T21:38:56.2640565Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2640701Z | ^ 2025-08-14T21:38:56.2641017Z /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 2025-08-14T21:38:56.2642507Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2642651Z | ^ 2025-08-14T21:38:56.2642960Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2643262Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2643408Z | ^ 2025-08-14T21:38:56.2643749Z /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] 2025-08-14T21:38:56.2644263Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2644403Z | ^ 2025-08-14T21:38:56.2644723Z /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 2025-08-14T21:38:56.2645077Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2645236Z | ^ 2025-08-14T21:38:56.2646904Z /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 2025-08-14T21:38:56.2647394Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2647532Z | ^ 2025-08-14T21:38:56.2647844Z /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 2025-08-14T21:38:56.2648252Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2648392Z | ^ 2025-08-14T21:38:56.2648666Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2648964Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2649110Z | ^ 2025-08-14T21:38:56.2649487Z /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] 2025-08-14T21:38:56.2651034Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2651178Z | ^ 2025-08-14T21:38:56.2651495Z /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 2025-08-14T21:38:56.2651846Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2652003Z | ^ 2025-08-14T21:38:56.2652464Z /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 2025-08-14T21:38:56.2652928Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2653062Z | ^ 2025-08-14T21:38:56.2653370Z /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 2025-08-14T21:38:56.2653701Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2653839Z | ^ 2025-08-14T21:38:56.2655352Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2655662Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2655841Z | ^ 2025-08-14T21:38:56.2656182Z /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] 2025-08-14T21:38:56.2656559Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2656698Z | ^ 2025-08-14T21:38:56.2657013Z /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 2025-08-14T21:38:56.2657358Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2657512Z | ^ 2025-08-14T21:38:56.2658037Z /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 2025-08-14T21:38:56.2658522Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2659793Z | ^ 2025-08-14T21:38:56.2660109Z /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 2025-08-14T21:38:56.2660442Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2660581Z | ^ 2025-08-14T21:38:56.2660856Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2661153Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2661296Z | ^ 2025-08-14T21:38:56.2661637Z /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] 2025-08-14T21:38:56.2662052Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2662191Z | ^ 2025-08-14T21:38:56.2662510Z /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 2025-08-14T21:38:56.2663918Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2664077Z | ^ 2025-08-14T21:38:56.2664537Z /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 2025-08-14T21:38:56.2665003Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2665139Z | ^ 2025-08-14T21:38:56.2665451Z /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 2025-08-14T21:38:56.2665783Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2665922Z | ^ 2025-08-14T21:38:56.2666193Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2666490Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2667651Z | ^ 2025-08-14T21:38:56.2668078Z /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] 2025-08-14T21:38:56.2668482Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2668623Z | ^ 2025-08-14T21:38:56.2668942Z /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 2025-08-14T21:38:56.2669287Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2669442Z | ^ 2025-08-14T21:38:56.2669907Z /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 2025-08-14T21:38:56.2670378Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2670513Z | ^ 2025-08-14T21:38:56.2670844Z /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 2025-08-14T21:38:56.2672292Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2672438Z | ^ 2025-08-14T21:38:56.2672715Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2673013Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2673157Z | ^ 2025-08-14T21:38:56.2673497Z /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] 2025-08-14T21:38:56.2673869Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2674008Z | ^ 2025-08-14T21:38:56.2674368Z /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 2025-08-14T21:38:56.2674714Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2674869Z | ^ 2025-08-14T21:38:56.2676388Z /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 2025-08-14T21:38:56.2676859Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2676995Z | ^ 2025-08-14T21:38:56.2677308Z /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 2025-08-14T21:38:56.2677645Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2677787Z | ^ 2025-08-14T21:38:56.2678131Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2678430Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2678573Z | ^ 2025-08-14T21:38:56.2678916Z /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] 2025-08-14T21:38:56.2679289Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2680548Z | ^ 2025-08-14T21:38:56.2680870Z /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 2025-08-14T21:38:56.2681214Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2681369Z | ^ 2025-08-14T21:38:56.2681837Z /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 2025-08-14T21:38:56.2682312Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2682446Z | ^ 2025-08-14T21:38:56.2682758Z /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 2025-08-14T21:38:56.2683130Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2683271Z | ^ 2025-08-14T21:38:56.2684596Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2684897Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2685041Z | ^ 2025-08-14T21:38:56.2685380Z /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] 2025-08-14T21:38:56.2685756Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2685897Z | ^ 2025-08-14T21:38:56.2686216Z /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 2025-08-14T21:38:56.2686606Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2686762Z | ^ 2025-08-14T21:38:56.2687231Z /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 2025-08-14T21:38:56.2687713Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2688994Z | ^ 2025-08-14T21:38:56.2689309Z /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 2025-08-14T21:38:56.2689643Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2689783Z | ^ 2025-08-14T21:38:56.2690058Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2690354Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2690499Z | ^ 2025-08-14T21:38:56.2690837Z /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] 2025-08-14T21:38:56.2691207Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2691347Z | ^ 2025-08-14T21:38:56.2691664Z /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 2025-08-14T21:38:56.2693126Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2693288Z | ^ 2025-08-14T21:38:56.2693757Z /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 2025-08-14T21:38:56.2694233Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2694367Z | ^ 2025-08-14T21:38:56.2694770Z /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 2025-08-14T21:38:56.2695102Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2695242Z | ^ 2025-08-14T21:38:56.2695517Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2695843Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2695984Z | ^ 2025-08-14T21:38:56.2697386Z /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] 2025-08-14T21:38:56.2697761Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2697973Z | ^ 2025-08-14T21:38:56.2698298Z /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 2025-08-14T21:38:56.2698645Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2698800Z | ^ 2025-08-14T21:38:56.2699313Z /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 2025-08-14T21:38:56.2699790Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2699924Z | ^ 2025-08-14T21:38:56.2700233Z /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 2025-08-14T21:38:56.2700568Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2701827Z | ^ 2025-08-14T21:38:56.2702103Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2702404Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2702549Z | ^ 2025-08-14T21:38:56.2702673Z 34 warnings generated when compiling for gfx90a. 2025-08-14T21:38:56.2703047Z /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] 2025-08-14T21:38:56.2703420Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2703558Z | ^ 2025-08-14T21:38:56.2703875Z /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 2025-08-14T21:38:56.2704338Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2705735Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2705885Z | ^ 2025-08-14T21:38:56.2706229Z /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] 2025-08-14T21:38:56.2706589Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2706708Z | ^~~~~~~~ 2025-08-14T21:38:56.2707055Z /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 2025-08-14T21:38:56.2707559Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:56.2707844Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:56.2708048Z | ^ 2025-08-14T21:38:56.2708411Z /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] 2025-08-14T21:38:56.2708769Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2708888Z | ^~~~~~~~ 2025-08-14T21:38:56.2710467Z /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 2025-08-14T21:38:56.2710927Z 623 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int32_t); 2025-08-14T21:38:56.2711055Z | ^ 2025-08-14T21:38:56.2711353Z /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' 2025-08-14T21:38:56.2711703Z 620 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, float); \ 2025-08-14T21:38:56.2711841Z | ^ 2025-08-14T21:38:56.2712184Z /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' 2025-08-14T21:38:56.2712544Z 616 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, true); \ 2025-08-14T21:38:56.2712693Z | ^ 2025-08-14T21:38:56.2712985Z /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' 2025-08-14T21:38:56.2713360Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:56.2713533Z | ^ 2025-08-14T21:38:56.2714998Z /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 2025-08-14T21:38:56.2715362Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2715482Z | ^ 2025-08-14T21:38:56.2715739Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:56.2716022Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:56.2716143Z | ^ 2025-08-14T21:38:56.2716473Z /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] 2025-08-14T21:38:56.2716830Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2716947Z | ^~~~~~~~ 2025-08-14T21:38:56.2717387Z /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 2025-08-14T21:38:56.2719403Z 623 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int32_t); 2025-08-14T21:38:56.2719538Z | ^ 2025-08-14T21:38:56.2719834Z /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' 2025-08-14T21:38:56.2720184Z 620 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, float); \ 2025-08-14T21:38:56.2720320Z | ^ 2025-08-14T21:38:56.2720612Z /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' 2025-08-14T21:38:56.2720969Z 617 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, false); 2025-08-14T21:38:56.2721117Z | ^ 2025-08-14T21:38:56.2721409Z /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' 2025-08-14T21:38:56.2721785Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:56.2721994Z | ^ 2025-08-14T21:38:56.2723396Z /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 2025-08-14T21:38:56.2723760Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2723878Z | ^ 2025-08-14T21:38:56.2724132Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:56.2724415Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:56.2724537Z | ^ 2025-08-14T21:38:56.2724868Z /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] 2025-08-14T21:38:56.2725225Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2725343Z | ^~~~~~~~ 2025-08-14T21:38:56.2725827Z /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 2025-08-14T21:38:56.2726285Z 623 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int32_t); 2025-08-14T21:38:56.2727431Z | ^ 2025-08-14T21:38:56.2727726Z /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' 2025-08-14T21:38:56.2728145Z 621 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, double); 2025-08-14T21:38:56.2728281Z | ^ 2025-08-14T21:38:56.2728571Z /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' 2025-08-14T21:38:56.2728932Z 616 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, true); \ 2025-08-14T21:38:56.2729080Z | ^ 2025-08-14T21:38:56.2729374Z /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' 2025-08-14T21:38:56.2729749Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:56.2729919Z | ^ 2025-08-14T21:38:56.2730261Z /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 2025-08-14T21:38:56.2731760Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2731880Z | ^ 2025-08-14T21:38:56.2732134Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:56.2732465Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:56.2732591Z | ^ 2025-08-14T21:38:56.2732924Z /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] 2025-08-14T21:38:56.2733283Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2733398Z | ^~~~~~~~ 2025-08-14T21:38:56.2733839Z /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 2025-08-14T21:38:56.2734301Z 623 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int32_t); 2025-08-14T21:38:56.2734425Z | ^ 2025-08-14T21:38:56.2735841Z /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' 2025-08-14T21:38:56.2736228Z 621 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, double); 2025-08-14T21:38:56.2736367Z | ^ 2025-08-14T21:38:56.2736662Z /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' 2025-08-14T21:38:56.2737024Z 617 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, false); 2025-08-14T21:38:56.2737170Z | ^ 2025-08-14T21:38:56.2737461Z /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' 2025-08-14T21:38:56.2737834Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:56.2738074Z | ^ 2025-08-14T21:38:56.2738414Z /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 2025-08-14T21:38:56.2739828Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2739994Z | ^ 2025-08-14T21:38:56.2740251Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:56.2740531Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:56.2740653Z | ^ 2025-08-14T21:38:56.2740984Z /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] 2025-08-14T21:38:56.2741343Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2741458Z | ^~~~~~~~ 2025-08-14T21:38:56.2741898Z /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 2025-08-14T21:38:56.2742359Z 624 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int64_t); 2025-08-14T21:38:56.2742484Z | ^ 2025-08-14T21:38:56.2743785Z /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' 2025-08-14T21:38:56.2744137Z 620 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, float); \ 2025-08-14T21:38:56.2744273Z | ^ 2025-08-14T21:38:56.2744566Z /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' 2025-08-14T21:38:56.2744925Z 616 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, true); \ 2025-08-14T21:38:56.2745071Z | ^ 2025-08-14T21:38:56.2745362Z /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' 2025-08-14T21:38:56.2745767Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:56.2745938Z | ^ 2025-08-14T21:38:56.2746279Z /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 2025-08-14T21:38:56.2746636Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2747748Z | ^ 2025-08-14T21:38:56.2748080Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:56.2748363Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:56.2748483Z | ^ 2025-08-14T21:38:56.2748816Z /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] 2025-08-14T21:38:56.2749203Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2749323Z | ^~~~~~~~ 2025-08-14T21:38:56.2749762Z /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 2025-08-14T21:38:56.2750226Z 624 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int64_t); 2025-08-14T21:38:56.2750349Z | ^ 2025-08-14T21:38:56.2750642Z /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' 2025-08-14T21:38:56.2752033Z 620 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, float); \ 2025-08-14T21:38:56.2752175Z | ^ 2025-08-14T21:38:56.2752466Z /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' 2025-08-14T21:38:56.2752870Z 617 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, false); 2025-08-14T21:38:56.2753017Z | ^ 2025-08-14T21:38:56.2753307Z /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' 2025-08-14T21:38:56.2753680Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:56.2753848Z | ^ 2025-08-14T21:38:56.2754187Z /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 2025-08-14T21:38:56.2754547Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2754662Z | ^ 2025-08-14T21:38:56.2755921Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:56.2756208Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:56.2756332Z | ^ 2025-08-14T21:38:56.2756661Z /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] 2025-08-14T21:38:56.2757020Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2757135Z | ^~~~~~~~ 2025-08-14T21:38:56.2757574Z /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 2025-08-14T21:38:56.2758100Z 624 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int64_t); 2025-08-14T21:38:56.2758223Z | ^ 2025-08-14T21:38:56.2758543Z /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' 2025-08-14T21:38:56.2758892Z 621 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, double); 2025-08-14T21:38:56.2760083Z | ^ 2025-08-14T21:38:56.2760376Z /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' 2025-08-14T21:38:56.2760732Z 616 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, true); \ 2025-08-14T21:38:56.2760879Z | ^ 2025-08-14T21:38:56.2761167Z /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' 2025-08-14T21:38:56.2761539Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:56.2761707Z | ^ 2025-08-14T21:38:56.2762045Z /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 2025-08-14T21:38:56.2762433Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2762547Z | ^ 2025-08-14T21:38:56.2763803Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:56.2764088Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:56.2764209Z | ^ 2025-08-14T21:38:56.2764538Z /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] 2025-08-14T21:38:56.2764895Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2765010Z | ^~~~~~~~ 2025-08-14T21:38:56.2765493Z /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 2025-08-14T21:38:56.2765954Z 624 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int64_t); 2025-08-14T21:38:56.2766075Z | ^ 2025-08-14T21:38:56.2766365Z /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' 2025-08-14T21:38:56.2766707Z 621 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, double); 2025-08-14T21:38:56.2767968Z | ^ 2025-08-14T21:38:56.2768263Z /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' 2025-08-14T21:38:56.2768617Z 617 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, false); 2025-08-14T21:38:56.2768763Z | ^ 2025-08-14T21:38:56.2769053Z /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' 2025-08-14T21:38:56.2769428Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:56.2769596Z | ^ 2025-08-14T21:38:56.2769932Z /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 2025-08-14T21:38:56.2770288Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2770402Z | ^ 2025-08-14T21:38:56.2770652Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:56.2771950Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:56.2772075Z | ^ 2025-08-14T21:38:56.2772434Z /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] 2025-08-14T21:38:56.2772812Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2772956Z | ^ 2025-08-14T21:38:56.2773275Z /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 2025-08-14T21:38:56.2773622Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2773781Z | ^ 2025-08-14T21:38:56.2774232Z /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 2025-08-14T21:38:56.2774732Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2774888Z | ^ 2025-08-14T21:38:56.2776231Z /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 2025-08-14T21:38:56.2776569Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2776712Z | ^ 2025-08-14T21:38:56.2776988Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2777288Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2777433Z | ^ 2025-08-14T21:38:56.2777771Z /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] 2025-08-14T21:38:56.2778222Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2778420Z | ^ 2025-08-14T21:38:56.2778739Z /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 2025-08-14T21:38:56.2779084Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2780310Z | ^ 2025-08-14T21:38:56.2780769Z /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 2025-08-14T21:38:56.2781226Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2781365Z | ^ 2025-08-14T21:38:56.2781675Z /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 2025-08-14T21:38:56.2782009Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2782149Z | ^ 2025-08-14T21:38:56.2782422Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2782720Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2782863Z | ^ 2025-08-14T21:38:56.2784210Z /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] 2025-08-14T21:38:56.2784619Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2784759Z | ^ 2025-08-14T21:38:56.2785081Z /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 2025-08-14T21:38:56.2785426Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2785582Z | ^ 2025-08-14T21:38:56.2786032Z /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 2025-08-14T21:38:56.2786488Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2786622Z | ^ 2025-08-14T21:38:56.2786933Z /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 2025-08-14T21:38:56.2787286Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2788532Z | ^ 2025-08-14T21:38:56.2788810Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2789109Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2789253Z | ^ 2025-08-14T21:38:56.2789598Z /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] 2025-08-14T21:38:56.2789969Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2790109Z | ^ 2025-08-14T21:38:56.2790429Z /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 2025-08-14T21:38:56.2790824Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2790980Z | ^ 2025-08-14T21:38:56.2791433Z /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 2025-08-14T21:38:56.2792922Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2793060Z | ^ 2025-08-14T21:38:56.2793370Z /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 2025-08-14T21:38:56.2793702Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2793845Z | ^ 2025-08-14T21:38:56.2794120Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2794418Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2794560Z | ^ 2025-08-14T21:38:56.2794900Z /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] 2025-08-14T21:38:56.2795271Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2795410Z | ^ 2025-08-14T21:38:56.2796745Z /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 2025-08-14T21:38:56.2797125Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2797286Z | ^ 2025-08-14T21:38:56.2797745Z /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 2025-08-14T21:38:56.2798263Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2798399Z | ^ 2025-08-14T21:38:56.2798709Z /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 2025-08-14T21:38:56.2799045Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2799186Z | ^ 2025-08-14T21:38:56.2799483Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2800836Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2800986Z | ^ 2025-08-14T21:38:56.2801329Z /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] 2025-08-14T21:38:56.2801704Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2801845Z | ^ 2025-08-14T21:38:56.2802166Z /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 2025-08-14T21:38:56.2802515Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2802673Z | ^ 2025-08-14T21:38:56.2803175Z /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 2025-08-14T21:38:56.2803638Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2803773Z | ^ 2025-08-14T21:38:56.2805137Z /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 2025-08-14T21:38:56.2805477Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2805618Z | ^ 2025-08-14T21:38:56.2805895Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2806200Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2806343Z | ^ 2025-08-14T21:38:56.2806687Z /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] 2025-08-14T21:38:56.2807061Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2807200Z | ^ 2025-08-14T21:38:56.2807519Z /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 2025-08-14T21:38:56.2807864Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2809182Z | ^ 2025-08-14T21:38:56.2809649Z /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 2025-08-14T21:38:56.2810116Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2810252Z | ^ 2025-08-14T21:38:56.2810562Z /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 2025-08-14T21:38:56.2810896Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2811035Z | ^ 2025-08-14T21:38:56.2811307Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2811607Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2811778Z | ^ 2025-08-14T21:38:56.2812119Z /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] 2025-08-14T21:38:56.2813529Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2813671Z | ^ 2025-08-14T21:38:56.2813994Z /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 2025-08-14T21:38:56.2814342Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2814502Z | ^ 2025-08-14T21:38:56.2815077Z /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 2025-08-14T21:38:56.2815543Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2815678Z | ^ 2025-08-14T21:38:56.2815989Z /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 2025-08-14T21:38:56.2816327Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2816467Z | ^ 2025-08-14T21:38:56.2817789Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2818152Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2818295Z | ^ 2025-08-14T21:38:56.2818639Z /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] 2025-08-14T21:38:56.2819013Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2819153Z | ^ 2025-08-14T21:38:56.2819470Z /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 2025-08-14T21:38:56.2819816Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2819971Z | ^ 2025-08-14T21:38:56.2820437Z /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 2025-08-14T21:38:56.2822000Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2822141Z | ^ 2025-08-14T21:38:56.2822451Z /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 2025-08-14T21:38:56.2822784Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2822927Z | ^ 2025-08-14T21:38:56.2823199Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2823500Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2823643Z | ^ 2025-08-14T21:38:56.2823986Z /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] 2025-08-14T21:38:56.2824388Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2824526Z | ^ 2025-08-14T21:38:56.2825878Z /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 2025-08-14T21:38:56.2826227Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2826382Z | ^ 2025-08-14T21:38:56.2826845Z /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 2025-08-14T21:38:56.2827318Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2827548Z | ^ 2025-08-14T21:38:56.2827858Z /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 2025-08-14T21:38:56.2828247Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2828387Z | ^ 2025-08-14T21:38:56.2828657Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2828954Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2830147Z | ^ 2025-08-14T21:38:56.2830490Z /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] 2025-08-14T21:38:56.2830865Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2831007Z | ^ 2025-08-14T21:38:56.2831327Z /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 2025-08-14T21:38:56.2831671Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2831827Z | ^ 2025-08-14T21:38:56.2832289Z /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 2025-08-14T21:38:56.2832788Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2832922Z | ^ 2025-08-14T21:38:56.2833231Z /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 2025-08-14T21:38:56.2834594Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2834735Z | ^ 2025-08-14T21:38:56.2835006Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2835300Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2835442Z | ^ 2025-08-14T21:38:56.2835781Z /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] 2025-08-14T21:38:56.2836153Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2836324Z | ^ 2025-08-14T21:38:56.2836642Z /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 2025-08-14T21:38:56.2836985Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2838227Z | ^ 2025-08-14T21:38:56.2838700Z /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 2025-08-14T21:38:56.2839171Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2839307Z | ^ 2025-08-14T21:38:56.2839672Z /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 2025-08-14T21:38:56.2840006Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2840146Z | ^ 2025-08-14T21:38:56.2840417Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2840714Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2840857Z | ^ 2025-08-14T21:38:56.2841195Z /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] 2025-08-14T21:38:56.2842635Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2842780Z | ^ 2025-08-14T21:38:56.2843101Z /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 2025-08-14T21:38:56.2843448Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2843603Z | ^ 2025-08-14T21:38:56.2844061Z /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 2025-08-14T21:38:56.2844529Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2844663Z | ^ 2025-08-14T21:38:56.2844974Z /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 2025-08-14T21:38:56.2845334Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2845475Z | ^ 2025-08-14T21:38:56.2846795Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2847096Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2847239Z | ^ 2025-08-14T21:38:56.2847578Z /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] 2025-08-14T21:38:56.2848048Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2848187Z | ^ 2025-08-14T21:38:56.2848507Z /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 2025-08-14T21:38:56.2848889Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2849045Z | ^ 2025-08-14T21:38:56.2849504Z /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 2025-08-14T21:38:56.2849968Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2851190Z | ^ 2025-08-14T21:38:56.2851502Z /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 2025-08-14T21:38:56.2851837Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2851978Z | ^ 2025-08-14T21:38:56.2852301Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2852599Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2852741Z | ^ 2025-08-14T21:38:56.2853081Z /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] 2025-08-14T21:38:56.2853454Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2853592Z | ^ 2025-08-14T21:38:56.2853910Z /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 2025-08-14T21:38:56.2855403Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2855562Z | ^ 2025-08-14T21:38:56.2856021Z /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 2025-08-14T21:38:56.2856485Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2856620Z | ^ 2025-08-14T21:38:56.2856928Z /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 2025-08-14T21:38:56.2857261Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2857429Z | ^ 2025-08-14T21:38:56.2857706Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2858058Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2859272Z | ^ 2025-08-14T21:38:56.2859618Z /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] 2025-08-14T21:38:56.2859991Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2860129Z | ^ 2025-08-14T21:38:56.2860447Z /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 2025-08-14T21:38:56.2860793Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2860948Z | ^ 2025-08-14T21:38:56.2861437Z /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 2025-08-14T21:38:56.2861901Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2862035Z | ^ 2025-08-14T21:38:56.2862342Z /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 2025-08-14T21:38:56.2863722Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2863866Z | ^ 2025-08-14T21:38:56.2864143Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2864489Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2864633Z | ^ 2025-08-14T21:38:56.2864971Z /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] 2025-08-14T21:38:56.2865344Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2865483Z | ^ 2025-08-14T21:38:56.2865801Z /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 2025-08-14T21:38:56.2866145Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2866301Z | ^ 2025-08-14T21:38:56.2867825Z /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 2025-08-14T21:38:56.2868369Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2868504Z | ^ 2025-08-14T21:38:56.2868812Z /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 2025-08-14T21:38:56.2869144Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2869282Z | ^ 2025-08-14T21:38:56.2869559Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2869879Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2870023Z | ^ 2025-08-14T21:38:56.2870362Z /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] 2025-08-14T21:38:56.2870733Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2871911Z | ^ 2025-08-14T21:38:56.2872231Z /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 2025-08-14T21:38:56.2872573Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2872728Z | ^ 2025-08-14T21:38:56.2873194Z /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 2025-08-14T21:38:56.2873695Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2873830Z | ^ 2025-08-14T21:38:56.2874137Z /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 2025-08-14T21:38:56.2874468Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2874605Z | ^ 2025-08-14T21:38:56.2874875Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2876470Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2876617Z | ^ 2025-08-14T21:38:56.2877009Z /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] 2025-08-14T21:38:56.2877379Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2877517Z | ^ 2025-08-14T21:38:56.2877837Z /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 2025-08-14T21:38:56.2878247Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2878400Z | ^ 2025-08-14T21:38:56.2878863Z /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 2025-08-14T21:38:56.2879330Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2879465Z | ^ 2025-08-14T21:38:56.2880803Z /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 2025-08-14T21:38:56.2881138Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2881277Z | ^ 2025-08-14T21:38:56.2881549Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2881844Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2881985Z | ^ 2025-08-14T21:38:56.2882352Z /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] 2025-08-14T21:38:56.2882725Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2882863Z | ^ 2025-08-14T21:38:56.2883177Z /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 2025-08-14T21:38:56.2884556Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2884715Z | ^ 2025-08-14T21:38:56.2885178Z /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 2025-08-14T21:38:56.2885645Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2885809Z | ^ 2025-08-14T21:38:56.2886124Z /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 2025-08-14T21:38:56.2886457Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2886502Z | ^ 2025-08-14T21:38:56.2886693Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2886760Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2886799Z | ^ 2025-08-14T21:38:56.2887074Z /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] 2025-08-14T21:38:56.2887135Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2887224Z | ^ 2025-08-14T21:38:56.2887459Z /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 2025-08-14T21:38:56.2887529Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2888639Z | ^ 2025-08-14T21:38:56.2889023Z /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 2025-08-14T21:38:56.2889083Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2889123Z | ^ 2025-08-14T21:38:56.2889363Z /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 2025-08-14T21:38:56.2889422Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2889468Z | ^ 2025-08-14T21:38:56.2889658Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2889726Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2889764Z | ^ 2025-08-14T21:38:56.2890041Z /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] 2025-08-14T21:38:56.2890128Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2890177Z | ^ 2025-08-14T21:38:56.2890413Z /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 2025-08-14T21:38:56.2890484Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2890529Z | ^ 2025-08-14T21:38:56.2890910Z /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 2025-08-14T21:38:56.2890967Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2891009Z | ^ 2025-08-14T21:38:56.2891245Z /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 2025-08-14T21:38:56.2891326Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2892352Z | ^ 2025-08-14T21:38:56.2892546Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2892613Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2892652Z | ^ 2025-08-14T21:38:56.2892926Z /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] 2025-08-14T21:38:56.2892984Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2893029Z | ^ 2025-08-14T21:38:56.2893309Z /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 2025-08-14T21:38:56.2893379Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2893426Z | ^ 2025-08-14T21:38:56.2893807Z /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 2025-08-14T21:38:56.2893866Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2893906Z | ^ 2025-08-14T21:38:56.2894142Z /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 2025-08-14T21:38:56.2894202Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2894248Z | ^ 2025-08-14T21:38:56.2894437Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2894505Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2894542Z | ^ 2025-08-14T21:38:56.2894882Z /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] 2025-08-14T21:38:56.2894939Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2895950Z | ^ 2025-08-14T21:38:56.2896207Z /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 2025-08-14T21:38:56.2896281Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2896329Z | ^ 2025-08-14T21:38:56.2896714Z /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 2025-08-14T21:38:56.2896771Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2896812Z | ^ 2025-08-14T21:38:56.2897045Z /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 2025-08-14T21:38:56.2897106Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2897168Z | ^ 2025-08-14T21:38:56.2897359Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2897427Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2897464Z | ^ 2025-08-14T21:38:56.2897525Z 34 warnings generated when compiling for gfx942. 2025-08-14T21:38:56.2897799Z /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] 2025-08-14T21:38:56.2897857Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2897968Z | ^ 2025-08-14T21:38:56.2898205Z /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 2025-08-14T21:38:56.2898448Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2898517Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2898554Z | ^ 2025-08-14T21:38:56.2898831Z /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] 2025-08-14T21:38:56.2899879Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2899919Z | ^~~~~~~~ 2025-08-14T21:38:56.2900195Z /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 2025-08-14T21:38:56.2900386Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:56.2900442Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:56.2900478Z | ^ 2025-08-14T21:38:56.2900752Z /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] 2025-08-14T21:38:56.2900797Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2900836Z | ^~~~~~~~ 2025-08-14T21:38:56.2901206Z /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 2025-08-14T21:38:56.2901263Z 623 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int32_t); 2025-08-14T21:38:56.2901333Z | ^ 2025-08-14T21:38:56.2901577Z /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' 2025-08-14T21:38:56.2901646Z 620 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, float); \ 2025-08-14T21:38:56.2901681Z | ^ 2025-08-14T21:38:56.2901922Z /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' 2025-08-14T21:38:56.2901999Z 616 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, true); \ 2025-08-14T21:38:56.2902033Z | ^ 2025-08-14T21:38:56.2902275Z /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' 2025-08-14T21:38:56.2902371Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:56.2902411Z | ^ 2025-08-14T21:38:56.2903640Z /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 2025-08-14T21:38:56.2903711Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2903750Z | ^ 2025-08-14T21:38:56.2903941Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:56.2903993Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:56.2904029Z | ^ 2025-08-14T21:38:56.2904302Z /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] 2025-08-14T21:38:56.2904347Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2904388Z | ^~~~~~~~ 2025-08-14T21:38:56.2904784Z /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 2025-08-14T21:38:56.2904842Z 623 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int32_t); 2025-08-14T21:38:56.2904876Z | ^ 2025-08-14T21:38:56.2905118Z /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' 2025-08-14T21:38:56.2905181Z 620 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, float); \ 2025-08-14T21:38:56.2905215Z | ^ 2025-08-14T21:38:56.2905453Z /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' 2025-08-14T21:38:56.2905530Z 617 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, false); 2025-08-14T21:38:56.2905564Z | ^ 2025-08-14T21:38:56.2905809Z /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' 2025-08-14T21:38:56.2905904Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:56.2905943Z | ^ 2025-08-14T21:38:56.2907165Z /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 2025-08-14T21:38:56.2907212Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2907249Z | ^ 2025-08-14T21:38:56.2907441Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:56.2907497Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:56.2907550Z | ^ 2025-08-14T21:38:56.2907827Z /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] 2025-08-14T21:38:56.2907934Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2907973Z | ^~~~~~~~ 2025-08-14T21:38:56.2908340Z /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 2025-08-14T21:38:56.2908395Z 623 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int32_t); 2025-08-14T21:38:56.2908429Z | ^ 2025-08-14T21:38:56.2908672Z /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' 2025-08-14T21:38:56.2908739Z 621 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, double); 2025-08-14T21:38:56.2908772Z | ^ 2025-08-14T21:38:56.2909042Z /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' 2025-08-14T21:38:56.2909120Z 616 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, true); \ 2025-08-14T21:38:56.2909154Z | ^ 2025-08-14T21:38:56.2909394Z /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' 2025-08-14T21:38:56.2909488Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:56.2909525Z | ^ 2025-08-14T21:38:56.2909799Z /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 2025-08-14T21:38:56.2910827Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2910863Z | ^ 2025-08-14T21:38:56.2911096Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:56.2911149Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:56.2911184Z | ^ 2025-08-14T21:38:56.2911457Z /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] 2025-08-14T21:38:56.2911501Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2911539Z | ^~~~~~~~ 2025-08-14T21:38:56.2911908Z /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 2025-08-14T21:38:56.2911963Z 623 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int32_t); 2025-08-14T21:38:56.2911998Z | ^ 2025-08-14T21:38:56.2912244Z /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' 2025-08-14T21:38:56.2912308Z 621 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, double); 2025-08-14T21:38:56.2912342Z | ^ 2025-08-14T21:38:56.2912580Z /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' 2025-08-14T21:38:56.2912655Z 617 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, false); 2025-08-14T21:38:56.2912688Z | ^ 2025-08-14T21:38:56.2912928Z /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' 2025-08-14T21:38:56.2913042Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:56.2913081Z | ^ 2025-08-14T21:38:56.2913358Z /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 2025-08-14T21:38:56.2914354Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2914393Z | ^ 2025-08-14T21:38:56.2914584Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:56.2914636Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:56.2914671Z | ^ 2025-08-14T21:38:56.2914947Z /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] 2025-08-14T21:38:56.2914991Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2915030Z | ^~~~~~~~ 2025-08-14T21:38:56.2915422Z /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 2025-08-14T21:38:56.2915475Z 624 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int64_t); 2025-08-14T21:38:56.2915509Z | ^ 2025-08-14T21:38:56.2915752Z /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' 2025-08-14T21:38:56.2915817Z 620 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, float); \ 2025-08-14T21:38:56.2915849Z | ^ 2025-08-14T21:38:56.2916089Z /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' 2025-08-14T21:38:56.2916165Z 616 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, true); \ 2025-08-14T21:38:56.2916201Z | ^ 2025-08-14T21:38:56.2916468Z /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' 2025-08-14T21:38:56.2916563Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:56.2916599Z | ^ 2025-08-14T21:38:56.2916874Z /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 2025-08-14T21:38:56.2917861Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2917976Z | ^ 2025-08-14T21:38:56.2918169Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:56.2918223Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:56.2918258Z | ^ 2025-08-14T21:38:56.2918537Z /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] 2025-08-14T21:38:56.2918581Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2918618Z | ^~~~~~~~ 2025-08-14T21:38:56.2918989Z /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 2025-08-14T21:38:56.2919044Z 624 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int64_t); 2025-08-14T21:38:56.2919077Z | ^ 2025-08-14T21:38:56.2919322Z /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' 2025-08-14T21:38:56.2919412Z 620 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, float); \ 2025-08-14T21:38:56.2919448Z | ^ 2025-08-14T21:38:56.2919689Z /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' 2025-08-14T21:38:56.2919763Z 617 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, false); 2025-08-14T21:38:56.2919796Z | ^ 2025-08-14T21:38:56.2920037Z /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' 2025-08-14T21:38:56.2920129Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:56.2920168Z | ^ 2025-08-14T21:38:56.2920440Z /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 2025-08-14T21:38:56.2920485Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2921508Z | ^ 2025-08-14T21:38:56.2921701Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:56.2921754Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:56.2921788Z | ^ 2025-08-14T21:38:56.2922062Z /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] 2025-08-14T21:38:56.2922105Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2922143Z | ^~~~~~~~ 2025-08-14T21:38:56.2922510Z /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 2025-08-14T21:38:56.2922567Z 624 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int64_t); 2025-08-14T21:38:56.2922601Z | ^ 2025-08-14T21:38:56.2922893Z /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' 2025-08-14T21:38:56.2922958Z 621 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, double); 2025-08-14T21:38:56.2922991Z | ^ 2025-08-14T21:38:56.2923231Z /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' 2025-08-14T21:38:56.2923305Z 616 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, true); \ 2025-08-14T21:38:56.2923339Z | ^ 2025-08-14T21:38:56.2923581Z /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' 2025-08-14T21:38:56.2923674Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:56.2923712Z | ^ 2025-08-14T21:38:56.2923988Z /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 2025-08-14T21:38:56.2924031Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2925016Z | ^ 2025-08-14T21:38:56.2925208Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:56.2925260Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:56.2925294Z | ^ 2025-08-14T21:38:56.2925567Z /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] 2025-08-14T21:38:56.2925631Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2925671Z | ^~~~~~~~ 2025-08-14T21:38:56.2926042Z /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 2025-08-14T21:38:56.2926097Z 624 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int64_t); 2025-08-14T21:38:56.2926130Z | ^ 2025-08-14T21:38:56.2926372Z /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' 2025-08-14T21:38:56.2926436Z 621 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, double); 2025-08-14T21:38:56.2926470Z | ^ 2025-08-14T21:38:56.2926709Z /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' 2025-08-14T21:38:56.2926801Z 617 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, false); 2025-08-14T21:38:56.2926834Z | ^ 2025-08-14T21:38:56.2927079Z /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' 2025-08-14T21:38:56.2927172Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:56.2927209Z | ^ 2025-08-14T21:38:56.2927483Z /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 2025-08-14T21:38:56.2927526Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:56.2928554Z | ^ 2025-08-14T21:38:56.2928747Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:56.2928801Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:56.2928836Z | ^ 2025-08-14T21:38:56.2929150Z /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] 2025-08-14T21:38:56.2929212Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2929261Z | ^ 2025-08-14T21:38:56.2929502Z /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 2025-08-14T21:38:56.2929576Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2929625Z | ^ 2025-08-14T21:38:56.2929994Z /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 2025-08-14T21:38:56.2930055Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2930096Z | ^ 2025-08-14T21:38:56.2930335Z /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 2025-08-14T21:38:56.2930394Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2930443Z | ^ 2025-08-14T21:38:56.2930631Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2930702Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2930763Z | ^ 2025-08-14T21:38:56.2931043Z /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] 2025-08-14T21:38:56.2931100Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2931146Z | ^ 2025-08-14T21:38:56.2932360Z /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 2025-08-14T21:38:56.2932433Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2932481Z | ^ 2025-08-14T21:38:56.2932847Z /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 2025-08-14T21:38:56.2932933Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2932974Z | ^ 2025-08-14T21:38:56.2933209Z /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 2025-08-14T21:38:56.2933268Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2933313Z | ^ 2025-08-14T21:38:56.2933503Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2933572Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2933611Z | ^ 2025-08-14T21:38:56.2933887Z /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] 2025-08-14T21:38:56.2933974Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2934019Z | ^ 2025-08-14T21:38:56.2934254Z /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 2025-08-14T21:38:56.2934324Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2934372Z | ^ 2025-08-14T21:38:56.2934778Z /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 2025-08-14T21:38:56.2934838Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2934878Z | ^ 2025-08-14T21:38:56.2936076Z /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 2025-08-14T21:38:56.2936137Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2936183Z | ^ 2025-08-14T21:38:56.2936373Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2936441Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2936478Z | ^ 2025-08-14T21:38:56.2936753Z /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] 2025-08-14T21:38:56.2936836Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2936882Z | ^ 2025-08-14T21:38:56.2937116Z /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 2025-08-14T21:38:56.2937187Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2937233Z | ^ 2025-08-14T21:38:56.2937596Z /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 2025-08-14T21:38:56.2937655Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2937695Z | ^ 2025-08-14T21:38:56.2938008Z /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 2025-08-14T21:38:56.2938068Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2938112Z | ^ 2025-08-14T21:38:56.2938301Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2938369Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2938406Z | ^ 2025-08-14T21:38:56.2939643Z /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] 2025-08-14T21:38:56.2939706Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2939750Z | ^ 2025-08-14T21:38:56.2940033Z /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 2025-08-14T21:38:56.2940104Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2940152Z | ^ 2025-08-14T21:38:56.2940520Z /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 2025-08-14T21:38:56.2940578Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2940618Z | ^ 2025-08-14T21:38:56.2940852Z /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 2025-08-14T21:38:56.2940914Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2940958Z | ^ 2025-08-14T21:38:56.2941148Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2941214Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2941252Z | ^ 2025-08-14T21:38:56.2941526Z /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] 2025-08-14T21:38:56.2941584Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2941647Z | ^ 2025-08-14T21:38:56.2941889Z /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 2025-08-14T21:38:56.2941961Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2942007Z | ^ 2025-08-14T21:38:56.2943321Z /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 2025-08-14T21:38:56.2943382Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2943421Z | ^ 2025-08-14T21:38:56.2943657Z /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 2025-08-14T21:38:56.2943716Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2943785Z | ^ 2025-08-14T21:38:56.2943974Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2944042Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2944078Z | ^ 2025-08-14T21:38:56.2944354Z /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] 2025-08-14T21:38:56.2944412Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2944457Z | ^ 2025-08-14T21:38:56.2944692Z /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 2025-08-14T21:38:56.2944803Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2944850Z | ^ 2025-08-14T21:38:56.2945222Z /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 2025-08-14T21:38:56.2945277Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2945318Z | ^ 2025-08-14T21:38:56.2945551Z /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 2025-08-14T21:38:56.2945610Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2945654Z | ^ 2025-08-14T21:38:56.2946791Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2946865Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2946904Z | ^ 2025-08-14T21:38:56.2947179Z /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] 2025-08-14T21:38:56.2947237Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2947280Z | ^ 2025-08-14T21:38:56.2947515Z /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 2025-08-14T21:38:56.2947603Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2947653Z | ^ 2025-08-14T21:38:56.2948070Z /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 2025-08-14T21:38:56.2948128Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2948172Z | ^ 2025-08-14T21:38:56.2948406Z /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 2025-08-14T21:38:56.2948465Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2948510Z | ^ 2025-08-14T21:38:56.2948702Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2948795Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2948834Z | ^ 2025-08-14T21:38:56.2949107Z /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] 2025-08-14T21:38:56.2949165Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2949208Z | ^ 2025-08-14T21:38:56.2949444Z /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 2025-08-14T21:38:56.2950485Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2950534Z | ^ 2025-08-14T21:38:56.2950944Z /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 2025-08-14T21:38:56.2951003Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2951043Z | ^ 2025-08-14T21:38:56.2951276Z /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 2025-08-14T21:38:56.2951334Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2951379Z | ^ 2025-08-14T21:38:56.2951568Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2951638Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2951678Z | ^ 2025-08-14T21:38:56.2951952Z /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] 2025-08-14T21:38:56.2952009Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2952053Z | ^ 2025-08-14T21:38:56.2952286Z /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 2025-08-14T21:38:56.2952357Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2952403Z | ^ 2025-08-14T21:38:56.2952795Z /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 2025-08-14T21:38:56.2952852Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2952893Z | ^ 2025-08-14T21:38:56.2953127Z /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 2025-08-14T21:38:56.2954122Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2954168Z | ^ 2025-08-14T21:38:56.2954358Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2954425Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2954480Z | ^ 2025-08-14T21:38:56.2954758Z /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] 2025-08-14T21:38:56.2954815Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2954858Z | ^ 2025-08-14T21:38:56.2955093Z /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 2025-08-14T21:38:56.2955162Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2955209Z | ^ 2025-08-14T21:38:56.2955580Z /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 2025-08-14T21:38:56.2955667Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2955708Z | ^ 2025-08-14T21:38:56.2955943Z /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 2025-08-14T21:38:56.2956001Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2956044Z | ^ 2025-08-14T21:38:56.2956232Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2956297Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2956336Z | ^ 2025-08-14T21:38:56.2956612Z /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] 2025-08-14T21:38:56.2957613Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2957660Z | ^ 2025-08-14T21:38:56.2957965Z /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 2025-08-14T21:38:56.2958037Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2958084Z | ^ 2025-08-14T21:38:56.2958461Z /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 2025-08-14T21:38:56.2958545Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2958586Z | ^ 2025-08-14T21:38:56.2958820Z /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 2025-08-14T21:38:56.2958877Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2958922Z | ^ 2025-08-14T21:38:56.2959108Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2959176Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2959212Z | ^ 2025-08-14T21:38:56.2959485Z /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] 2025-08-14T21:38:56.2959563Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2959608Z | ^ 2025-08-14T21:38:56.2959839Z /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 2025-08-14T21:38:56.2959910Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2959955Z | ^ 2025-08-14T21:38:56.2960326Z /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 2025-08-14T21:38:56.2961337Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2961381Z | ^ 2025-08-14T21:38:56.2961654Z /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 2025-08-14T21:38:56.2961713Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2961758Z | ^ 2025-08-14T21:38:56.2961947Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2962013Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2962051Z | ^ 2025-08-14T21:38:56.2962322Z /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] 2025-08-14T21:38:56.2962381Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2962426Z | ^ 2025-08-14T21:38:56.2962663Z /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 2025-08-14T21:38:56.2962733Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2962779Z | ^ 2025-08-14T21:38:56.2963143Z /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 2025-08-14T21:38:56.2963200Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2963257Z | ^ 2025-08-14T21:38:56.2963491Z /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 2025-08-14T21:38:56.2963549Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2963594Z | ^ 2025-08-14T21:38:56.2963784Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2964794Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2964832Z | ^ 2025-08-14T21:38:56.2965106Z /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] 2025-08-14T21:38:56.2965163Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2965210Z | ^ 2025-08-14T21:38:56.2965481Z /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 2025-08-14T21:38:56.2965551Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2965597Z | ^ 2025-08-14T21:38:56.2965961Z /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 2025-08-14T21:38:56.2966018Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2966057Z | ^ 2025-08-14T21:38:56.2966289Z /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 2025-08-14T21:38:56.2966378Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2966424Z | ^ 2025-08-14T21:38:56.2966611Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2966678Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2966714Z | ^ 2025-08-14T21:38:56.2966990Z /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] 2025-08-14T21:38:56.2967046Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2967090Z | ^ 2025-08-14T21:38:56.2967324Z /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 2025-08-14T21:38:56.2968405Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2968455Z | ^ 2025-08-14T21:38:56.2968824Z /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 2025-08-14T21:38:56.2968880Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2968920Z | ^ 2025-08-14T21:38:56.2969154Z /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 2025-08-14T21:38:56.2969239Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2969283Z | ^ 2025-08-14T21:38:56.2969473Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2969539Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2969578Z | ^ 2025-08-14T21:38:56.2969852Z /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] 2025-08-14T21:38:56.2969909Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2969953Z | ^ 2025-08-14T21:38:56.2970190Z /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 2025-08-14T21:38:56.2970282Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2970332Z | ^ 2025-08-14T21:38:56.2970699Z /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 2025-08-14T21:38:56.2970756Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2970795Z | ^ 2025-08-14T21:38:56.2971029Z /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 2025-08-14T21:38:56.2971086Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2972079Z | ^ 2025-08-14T21:38:56.2972307Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2972375Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2972412Z | ^ 2025-08-14T21:38:56.2972685Z /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] 2025-08-14T21:38:56.2972741Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2972785Z | ^ 2025-08-14T21:38:56.2973017Z /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 2025-08-14T21:38:56.2973089Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2973137Z | ^ 2025-08-14T21:38:56.2973517Z /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 2025-08-14T21:38:56.2973574Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2973613Z | ^ 2025-08-14T21:38:56.2973845Z /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 2025-08-14T21:38:56.2973902Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2973947Z | ^ 2025-08-14T21:38:56.2974166Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2974236Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2974273Z | ^ 2025-08-14T21:38:56.2974546Z /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] 2025-08-14T21:38:56.2974659Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2975650Z | ^ 2025-08-14T21:38:56.2975887Z /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 2025-08-14T21:38:56.2975959Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2976006Z | ^ 2025-08-14T21:38:56.2976397Z /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 2025-08-14T21:38:56.2976453Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2976494Z | ^ 2025-08-14T21:38:56.2976727Z /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 2025-08-14T21:38:56.2976785Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2976828Z | ^ 2025-08-14T21:38:56.2977016Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2977084Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2977122Z | ^ 2025-08-14T21:38:56.2977423Z /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] 2025-08-14T21:38:56.2977482Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2977525Z | ^ 2025-08-14T21:38:56.2977759Z /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 2025-08-14T21:38:56.2977827Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2977930Z | ^ 2025-08-14T21:38:56.2978303Z /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 2025-08-14T21:38:56.2978360Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2979365Z | ^ 2025-08-14T21:38:56.2979603Z /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 2025-08-14T21:38:56.2979662Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2979706Z | ^ 2025-08-14T21:38:56.2979895Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2979988Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2980025Z | ^ 2025-08-14T21:38:56.2980302Z /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] 2025-08-14T21:38:56.2980359Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2980404Z | ^ 2025-08-14T21:38:56.2980637Z /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 2025-08-14T21:38:56.2980709Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2980754Z | ^ 2025-08-14T21:38:56.2981133Z /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 2025-08-14T21:38:56.2981212Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2981251Z | ^ 2025-08-14T21:38:56.2981486Z /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 2025-08-14T21:38:56.2981543Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2981589Z | ^ 2025-08-14T21:38:56.2981776Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2981844Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2982825Z | ^ 2025-08-14T21:38:56.2983138Z /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] 2025-08-14T21:38:56.2983199Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2983242Z | ^ 2025-08-14T21:38:56.2983477Z /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 2025-08-14T21:38:56.2983546Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2983593Z | ^ 2025-08-14T21:38:56.2983974Z /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 2025-08-14T21:38:56.2984033Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2984076Z | ^ 2025-08-14T21:38:56.2984308Z /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 2025-08-14T21:38:56.2984367Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2984410Z | ^ 2025-08-14T21:38:56.2984601Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2984667Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2984705Z | ^ 2025-08-14T21:38:56.2984977Z /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] 2025-08-14T21:38:56.2985075Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2985118Z | ^ 2025-08-14T21:38:56.2985353Z /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 2025-08-14T21:38:56.2985422Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2986413Z | ^ 2025-08-14T21:38:56.2986797Z /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 2025-08-14T21:38:56.2986857Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2986912Z | ^ 2025-08-14T21:38:56.2987149Z /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 2025-08-14T21:38:56.2987207Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2987251Z | ^ 2025-08-14T21:38:56.2987440Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2987507Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2987544Z | ^ 2025-08-14T21:38:56.2987822Z /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] 2025-08-14T21:38:56.2987957Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2988004Z | ^ 2025-08-14T21:38:56.2988288Z /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 2025-08-14T21:38:56.2988359Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:56.2988404Z | ^ 2025-08-14T21:38:56.2988787Z /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 2025-08-14T21:38:56.2988844Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:56.2988885Z | ^ 2025-08-14T21:38:56.2989122Z /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 2025-08-14T21:38:56.2989182Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:56.2989225Z | ^ 2025-08-14T21:38:56.2990383Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:56.2990451Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:56.2990489Z | ^ 2025-08-14T21:38:56.2990546Z 34 warnings generated when compiling for host. 2025-08-14T21:38:56.2990551Z 2025-08-14T21:38:56.4956177Z [140/612] Linking CXX shared library fbgemm_gpu_tbe_common.so 2025-08-14T21:38:56.6500945Z [141/612] Building HIPCC object CMakeFiles/fbgemm_gpu_sparse_async_cumsum.dir/src/sparse_ops/fbgemm_gpu_sparse_async_cumsum_generated_sparse_async_cumsum_hip.cpp.o 2025-08-14T21:38:56.6501701Z [142/612] Linking CXX shared library fbgemm_gpu_tbe_common.so 2025-08-14T21:38:56.6502714Z [142/612] 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 2025-08-14T21:38:56.6509029Z [142/612] 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 2025-08-14T21:38:56.6511920Z [142/612] 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 2025-08-14T21:38:56.6512497Z [142/612] 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 2025-08-14T21:38:56.6513527Z [142/612] 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 2025-08-14T21:38:56.6516967Z [142/612] 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 2025-08-14T21:38:56.6519904Z [142/612] 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 2025-08-14T21:38:56.6523703Z [142/612] 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 2025-08-14T21:38:56.6526680Z [142/612] 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 2025-08-14T21:38:56.6528372Z [142/612] 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 2025-08-14T21:38:56.6533273Z [142/612] 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 2025-08-14T21:38:56.6535584Z [142/612] 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 2025-08-14T21:38:56.6538887Z [142/612] 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 2025-08-14T21:38:56.6542739Z [142/612] 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 2025-08-14T21:38:56.6545534Z [142/612] 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 2025-08-14T21:38:56.6546928Z [142/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_weighted_kernel.hip.o 2025-08-14T21:38:56.6550937Z [142/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_dense_weighted_kernel.hip.o 2025-08-14T21:38:56.6551560Z [142/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_ssd_weighted_kernel.hip.o 2025-08-14T21:38:56.6553163Z [142/612] 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 2025-08-14T21:38:56.6557587Z [142/612] 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 2025-08-14T21:38:56.6558310Z [142/612] 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 2025-08-14T21:38:56.6559073Z [142/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_unweighted_kernel.hip.o 2025-08-14T21:38:56.6561207Z [142/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_dense_unweighted_kernel.hip.o 2025-08-14T21:38:56.6562313Z [142/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_ssd_unweighted_kernel.hip.o 2025-08-14T21:38:56.6564320Z [142/612] 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 2025-08-14T21:38:56.6566023Z [142/612] 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 2025-08-14T21:38:56.6570648Z [142/612] 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 2025-08-14T21:38:56.6571301Z [142/612] 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 2025-08-14T21:38:56.6571994Z [142/612] 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 2025-08-14T21:38:56.6578129Z [142/612] 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 2025-08-14T21:38:56.6579142Z [142/612] 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 2025-08-14T21:38:56.6580063Z [142/612] 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 2025-08-14T21:38:56.6581994Z [142/612] 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 2025-08-14T21:38:56.6584994Z [142/612] 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 2025-08-14T21:38:56.6588871Z [142/612] 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 2025-08-14T21:38:56.6596366Z [142/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_weighted_gwd_kernel.hip.o 2025-08-14T21:38:56.6597214Z [143/612] 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 2025-08-14T21:38:56.6598121Z ################################################################################ 2025-08-14T21:38:56.6598269Z [CMAKE] Running post-build script ... 2025-08-14T21:38:56.6598527Z Target file: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_tbe_common.so 2025-08-14T21:38:56.6598777Z Resetting RPATH to $ORIGIN ... 2025-08-14T21:38:56.6598931Z 0x000000000000000f (RPATH) Library rpath: [$ORIGIN] 2025-08-14T21:38:56.6599098Z ################################################################################ 2025-08-14T21:38:56.6599193Z 2025-08-14T21:38:56.8221649Z [143/612] Building HIPCC object 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CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_dense_unweighted_nobag_kernel_small.hip.o 2025-08-14T21:39:06.1967630Z [160/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_split_host.dir/fbgemm_gpu_tbe_training_backward_split_host_generated_gen_embedding_backward_split_none_hip.cpp.o 2025-08-14T21:39:06.9019657Z [160/612] 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 2025-08-14T21:39:06.9020298Z [161/612] Building HIPCC object CMakeFiles/fbgemm_gpu_sparse_async_cumsum.dir/src/sparse_ops/fbgemm_gpu_sparse_async_cumsum_generated_sparse_async_cumsum.hip.o 2025-08-14T21:39:07.2814731Z [161/612] Linking CXX shared library fbgemm_gpu_sparse_async_cumsum.so 2025-08-14T21:39:07.4041679Z [162/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_split_host.dir/fbgemm_gpu_tbe_training_backward_split_host_generated_gen_embedding_backward_split_sgd_hip.cpp.o 2025-08-14T21:39:07.6382776Z [163/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_split_host.dir/fbgemm_gpu_tbe_training_backward_split_host_generated_gen_embedding_backward_split_lars_sgd_hip.cpp.o 2025-08-14T21:39:07.6383272Z [164/612] Linking CXX shared library fbgemm_gpu_sparse_async_cumsum.so 2025-08-14T21:39:07.6387767Z [164/612] 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 2025-08-14T21:39:07.6391329Z [164/612] 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 2025-08-14T21:39:07.6477352Z [164/612] 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_sparse_async_cumsum.so 1 2025-08-14T21:39:07.6478626Z [165/612] 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_sparse_async_cumsum.so 1 2025-08-14T21:39:07.6483643Z ################################################################################ 2025-08-14T21:39:07.6483848Z [CMAKE] Running post-build script ... 2025-08-14T21:39:07.6484114Z Target file: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_sparse_async_cumsum.so 2025-08-14T21:39:07.6484403Z 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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 2025-08-14T21:39:13.1274673Z [171/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_split_partial_rowwise_adam_pt2_autograd_hip.cpp.o 2025-08-14T21:39:13.1275409Z [172/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_split_host.dir/fbgemm_gpu_tbe_training_backward_split_host_generated_gen_embedding_backward_split_rowwise_adagrad_hip.cpp.o 2025-08-14T21:39:13.6931270Z [172/612] Linking CXX shared library fbgemm_gpu_tbe_training_backward_split_host.so 2025-08-14T21:39:13.6937385Z [173/612] Linking CXX shared library fbgemm_gpu_tbe_training_backward_split_host.so 2025-08-14T21:39:15.2886724Z [173/612] Building HIPCC object 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CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_split_approx_sgd_pt2_autograd_hip.cpp.o 2025-08-14T21:39:16.5663662Z [176/612] 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 2025-08-14T21:39:16.6282738Z [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 2025-08-14T21:39:16.6286058Z [177/612] 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 2025-08-14T21:39:16.6770939Z [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 2025-08-14T21:39:16.6772708Z [178/612] 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 2025-08-14T21:39:17.5101136Z [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 2025-08-14T21:39:17.5101962Z [179/612] 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 2025-08-14T21:39:17.7652662Z [179/612] 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_rowwise_adagrad_with_counter_pt2_cpu_wrapper.cpp.o 2025-08-14T21:39:23.5567341Z [194/612] 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 2025-08-14T21:39:23.6876486Z [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 2025-08-14T21:39:23.6877260Z [195/612] 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 2025-08-14T21:39:24.4209623Z [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 2025-08-14T21:39:24.4210359Z [196/612] 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 2025-08-14T21:39:24.5807547Z [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 2025-08-14T21:39:24.5808746Z [197/612] 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 2025-08-14T21:39:24.6531237Z [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 2025-08-14T21:39:24.6532162Z [198/612] 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 2025-08-14T21:39:24.8134721Z [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 2025-08-14T21:39:24.8135834Z [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_adam_pt2_cpu_wrapper.cpp.o 2025-08-14T21:39:24.9325051Z [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 2025-08-14T21:39:24.9325755Z [200/612] 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 2025-08-14T21:39:25.1222129Z [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 2025-08-14T21:39:25.1229121Z [201/612] 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 2025-08-14T21:39:25.5550940Z [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 2025-08-14T21:39:25.5552725Z [202/612] 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 2025-08-14T21:39:26.3269895Z [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 2025-08-14T21:39:26.3272248Z [203/612] 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 2025-08-14T21:39:26.3273536Z [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 2025-08-14T21:39:26.3281487Z [204/612] 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 2025-08-14T21:39:26.6326215Z [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 2025-08-14T21:39:26.6326942Z [205/612] 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 2025-08-14T21:39:27.2170227Z [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 2025-08-14T21:39:27.2177388Z [206/612] 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 2025-08-14T21:39:27.2523835Z [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 2025-08-14T21:39:27.2525145Z [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 2025-08-14T21:39:27.3438284Z [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 2025-08-14T21:39:27.3456096Z [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 2025-08-14T21:39:27.7066783Z [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 2025-08-14T21:39:27.7068266Z [209/612] 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 2025-08-14T21:39:27.9922063Z [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 2025-08-14T21:39:27.9924122Z [210/612] 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 2025-08-14T21:39:28.1531364Z [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 2025-08-14T21:39:28.1532111Z [211/612] 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 2025-08-14T21:39:28.1816414Z [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 2025-08-14T21:39:28.1817146Z [212/612] 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 2025-08-14T21:39:28.5322245Z [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 2025-08-14T21:39:28.5323443Z [213/612] 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 2025-08-14T21:39:29.0185431Z [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 2025-08-14T21:39:29.0186234Z [214/612] 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 2025-08-14T21:39:29.7331501Z [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 2025-08-14T21:39:29.7332232Z [215/612] 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 2025-08-14T21:39:30.1704000Z [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 2025-08-14T21:39:30.1705553Z [216/612] 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 2025-08-14T21:39:30.6171645Z [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 2025-08-14T21:39:30.6173523Z [217/612] 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 2025-08-14T21:39:30.8991355Z [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 2025-08-14T21:39:30.8992595Z [218/612] 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 2025-08-14T21:39:31.2890671Z [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 2025-08-14T21:39:31.2891925Z [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_sgd_pt2_cuda_wrapper.cpp.o 2025-08-14T21:39:31.6798966Z [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 2025-08-14T21:39:31.6799759Z [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_with_counter_pt2_cuda_wrapper.cpp.o 2025-08-14T21:39:32.1180184Z [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 2025-08-14T21:39:32.1181411Z [221/612] 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 2025-08-14T21:39:32.5584402Z [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 2025-08-14T21:39:32.5585581Z [222/612] 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 2025-08-14T21:39:32.7003508Z [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 2025-08-14T21:39:32.7004241Z [223/612] 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 2025-08-14T21:39:32.8362681Z [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 2025-08-14T21:39:32.8363515Z [224/612] 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 2025-08-14T21:39:33.3214777Z [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 2025-08-14T21:39:33.3216022Z [225/612] 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 2025-08-14T21:39:33.3860758Z [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 2025-08-14T21:39:33.3862065Z [226/612] 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 2025-08-14T21:39:33.5122097Z [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 2025-08-14T21:39:33.5123423Z [227/612] 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 2025-08-14T21:39:33.6184551Z [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 2025-08-14T21:39:33.6185307Z [228/612] 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 2025-08-14T21:39:34.0367068Z [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 2025-08-14T21:39:34.0367843Z [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 2025-08-14T21:39:34.2737133Z [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 2025-08-14T21:39:34.2737812Z [230/612] 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 2025-08-14T21:39:35.3505660Z [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 2025-08-14T21:39:35.3506397Z [231/612] 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 2025-08-14T21:39:35.5010440Z [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 2025-08-14T21:39:35.5011194Z [232/612] 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 2025-08-14T21:39:36.1457215Z [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 2025-08-14T21:39:36.1458529Z [233/612] 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 2025-08-14T21:39:36.5839290Z [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 2025-08-14T21:39:36.5840008Z [234/612] 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 2025-08-14T21:39:36.7166030Z [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 2025-08-14T21:39:36.7166797Z [235/612] 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 2025-08-14T21:39:36.9658416Z [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 2025-08-14T21:39:36.9659107Z [236/612] 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_rowwise_adagrad_split_cpu_hip.cpp.o 2025-08-14T21:39:37.9254756Z [239/612] 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 2025-08-14T21:39:38.5854513Z [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 2025-08-14T21:39:38.5855374Z [240/612] 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 2025-08-14T21:39:38.7754443Z [240/612] 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 2025-08-14T21:39:38.7755612Z [241/612] 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 2025-08-14T21:39:40.0126790Z [241/612] 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 2025-08-14T21:39:40.0128432Z [242/612] 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 2025-08-14T21:39:40.4186505Z [242/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_dense_indice_weights_codegen_hip.hip.o 2025-08-14T21:39:40.4187646Z [243/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_unweighted_vbe_gwd_codegen_hip.hip.o 2025-08-14T21:39:40.6419092Z [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 2025-08-14T21:39:40.6420297Z [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 2025-08-14T21:39:41.1819556Z [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 2025-08-14T21:39:41.1821322Z [245/612] 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 2025-08-14T21:39:42.0430100Z [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 2025-08-14T21:39:42.0437112Z [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_with_counter_pt2_autograd_hip.cpp.o 2025-08-14T21:39:42.6177721Z [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 2025-08-14T21:39:42.6240242Z [247/612] 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 2025-08-14T21:39:42.6481982Z [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 2025-08-14T21:39:42.6482673Z [248/612] 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 2025-08-14T21:39:42.6512216Z [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 2025-08-14T21:39:42.6513685Z [249/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_split_sgd_pt2_autograd_hip.cpp.o 2025-08-14T21:39:42.9165863Z [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 2025-08-14T21:39:42.9166634Z [250/612] 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 2025-08-14T21:39:42.9200885Z [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 2025-08-14T21:39:42.9207583Z [251/612] 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 2025-08-14T21:39:43.0257331Z [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 2025-08-14T21:39:43.0269578Z [252/612] 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 2025-08-14T21:39:43.4308644Z [252/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_rowwise_adagrad_ssd_unweighted_kernel_cta.hip.o 2025-08-14T21:39:43.4309703Z [253/612] 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 2025-08-14T21:39:43.4355309Z [253/612] 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 2025-08-14T21:39:43.4356923Z [254/612] 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 2025-08-14T21:39:44.1483316Z [254/612] 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 2025-08-14T21:39:44.1514094Z [255/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_split_partial_rowwise_adam_pt2_autograd_hip.cpp.o 2025-08-14T21:39:44.1556812Z [255/612] 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 2025-08-14T21:39:44.1558401Z [256/612] 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 2025-08-14T21:39:44.4906132Z [256/612] 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 2025-08-14T21:39:44.4907514Z [257/612] 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 2025-08-14T21:39:44.6489008Z [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 2025-08-14T21:39:44.6491022Z [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 2025-08-14T21:39:44.8304111Z [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 2025-08-14T21:39:44.8312989Z [259/612] 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 2025-08-14T21:39:44.8746671Z [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 2025-08-14T21:39:44.8748381Z [260/612] 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 2025-08-14T21:39:45.2084910Z [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 2025-08-14T21:39:45.2086586Z [261/612] 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 2025-08-14T21:39:45.2244789Z [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 2025-08-14T21:39:45.2261134Z [262/612] 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 2025-08-14T21:39:46.3374205Z [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 2025-08-14T21:39:46.3375071Z [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 2025-08-14T21:39:50.4578904Z [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 2025-08-14T21:39:50.4580635Z [264/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_dense_unweighted_kernel.hip.o 2025-08-14T21:39:50.6881825Z [264/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_rowwise_adagrad_split_unweighted_nobag_hip.hip.o 2025-08-14T21:39:50.6883087Z [265/612] 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 2025-08-14T21:39:50.7878533Z [265/612] 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 2025-08-14T21:39:50.7886648Z [266/612] 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 2025-08-14T21:39:51.5779802Z [266/612] 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_warp.hip.o 2025-08-14T21:39:51.5780500Z [267/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_dense_weighted_kernel.hip.o 2025-08-14T21:39:52.0049817Z [267/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_sgd_split_weighted_hip.hip.o 2025-08-14T21:39:52.0050575Z [268/612] 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 2025-08-14T21:39:52.3224544Z [268/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_rowwise_adagrad_split_unweighted_kernel_cta.hip.o 2025-08-14T21:39:52.3225274Z [269/612] 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 2025-08-14T21:39:52.3259496Z [269/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_rowwise_adagrad_split_unweighted_kernel_warp.hip.o 2025-08-14T21:39:52.3265503Z [270/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_inference.dir/fbgemm_gpu_tbe_inference_generated_gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_int8_codegen_hip.hip.o 2025-08-14T21:39:52.9495952Z [270/612] Linking CXX shared library fbgemm_gpu_tbe_inference.so 2025-08-14T21:39:52.9496467Z [271/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_unweighted_v2_kernel.hip.o 2025-08-14T21:39:53.1164769Z [271/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_sgd_split_weighted_kernel_cta.hip.o 2025-08-14T21:39:53.1165485Z [272/612] 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 2025-08-14T21:39:53.2536620Z [272/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_sgd_split_weighted_kernel_warp.hip.o 2025-08-14T21:39:53.2538212Z [273/612] Linking CXX shared library fbgemm_gpu_tbe_inference.so 2025-08-14T21:39:53.3664068Z [273/612] 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_inference.so 1 2025-08-14T21:39:53.3665210Z [274/612] 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_inference.so 1 2025-08-14T21:39:53.3671275Z ################################################################################ 2025-08-14T21:39:53.3671508Z [CMAKE] Running post-build script ... 2025-08-14T21:39:53.3672171Z Target file: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_tbe_inference.so 2025-08-14T21:39:53.3672452Z Resetting RPATH to $ORIGIN ... 2025-08-14T21:39:53.3672617Z 0x000000000000000f (RPATH) Library rpath: [$ORIGIN] 2025-08-14T21:39:53.3672796Z ################################################################################ 2025-08-14T21:39:53.3672897Z 2025-08-14T21:39:55.4630812Z [274/612] 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_unweighted_nobag_kernel_cta.hip.o 2025-08-14T21:39:55.9125103Z [277/612] 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 2025-08-14T21:39:56.3521401Z [277/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_sgd_split_unweighted_nobag_kernel_warp.hip.o 2025-08-14T21:39:56.3522554Z [278/612] 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 2025-08-14T21:39:57.0488726Z [278/612] 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 2025-08-14T21:39:57.0499312Z [279/612] 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 2025-08-14T21:39:57.2676427Z [279/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_sgd_split_unweighted_kernel_warp.hip.o 2025-08-14T21:39:57.2677617Z [280/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_dense_weighted_vbe_kernel.hip.o 2025-08-14T21:39:57.3545331Z [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 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CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_none_split_unweighted_hip.hip.o 2025-08-14T21:39:57.4859566Z [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 2025-08-14T21:39:57.4860698Z [284/612] 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 2025-08-14T21:39:57.4861743Z /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] 2025-08-14T21:39:57.4862557Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:57.4862820Z | ^ 2025-08-14T21:39:57.4863429Z /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 2025-08-14T21:39:57.4864308Z /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 2025-08-14T21:39:57.4864810Z 123 | const auto D = 2025-08-14T21:39:57.4864984Z | ^ 2025-08-14T21:39:57.4865585Z /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] 2025-08-14T21:39:57.4874240Z 351 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:57.4874910Z | ^~~~~ 2025-08-14T21:39:57.4875567Z /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 2025-08-14T21:39:57.4876514Z /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 2025-08-14T21:39:57.4877042Z 339 | int64_t T = D_offsets.numel() - 1; 2025-08-14T21:39:57.4877247Z | ^ 2025-08-14T21:39:57.4877425Z 2 warnings generated when compiling for gfx90a. 2025-08-14T21:39:57.4878238Z /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] 2025-08-14T21:39:57.4878911Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:57.4879159Z | ^ 2025-08-14T21:39:57.4879942Z /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 2025-08-14T21:39:57.4880823Z /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 2025-08-14T21:39:57.4881335Z 123 | const auto D = 2025-08-14T21:39:57.4881506Z | ^ 2025-08-14T21:39:57.4882115Z /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] 2025-08-14T21:39:57.4882768Z 351 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:57.4882985Z | ^~~~~ 2025-08-14T21:39:57.4883605Z /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 2025-08-14T21:39:57.4884810Z /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 2025-08-14T21:39:57.4885345Z 339 | int64_t T = D_offsets.numel() - 1; 2025-08-14T21:39:57.4889618Z | ^ 2025-08-14T21:39:57.4889817Z 2 warnings generated when compiling for gfx942. 2025-08-14T21:39:57.4890499Z /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] 2025-08-14T21:39:57.4891175Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:57.4891407Z | ^ 2025-08-14T21:39:57.4891999Z /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 2025-08-14T21:39:57.4892893Z /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 2025-08-14T21:39:57.4893403Z 123 | const auto D = 2025-08-14T21:39:57.4893575Z | ^ 2025-08-14T21:39:57.4894197Z /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] 2025-08-14T21:39:57.4898119Z 351 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:57.4898380Z | ^~~~~ 2025-08-14T21:39:57.4899017Z /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 2025-08-14T21:39:57.4900140Z /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 2025-08-14T21:39:57.4900650Z 339 | int64_t T = D_offsets.numel() - 1; 2025-08-14T21:39:57.4900852Z | ^ 2025-08-14T21:39:57.4901027Z 2 warnings generated when compiling for host. 2025-08-14T21:39:57.4901178Z 2025-08-14T21:39:57.9865290Z [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 2025-08-14T21:39:57.9875365Z [285/612] 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 2025-08-14T21:39:58.2390670Z [285/612] Building HIPCC object 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CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_split_lamb_cpu_hip.cpp.o 2025-08-14T21:39:59.3884703Z [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 2025-08-14T21:39:59.3885439Z [295/612] 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 2025-08-14T21:39:59.9270457Z [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 2025-08-14T21:39:59.9271208Z [296/612] Building HIPCC object 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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 2025-08-14T21:40:00.3223451Z [298/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_lars_sgd_split_weighted_hip.hip.o 2025-08-14T21:40:00.3231158Z [299/612] 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 2025-08-14T21:40:01.0125960Z [299/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_lars_sgd_split_weighted_kernel_cta.hip.o 2025-08-14T21:40:01.0127213Z [300/612] 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 2025-08-14T21:40:01.2623335Z [300/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_lars_sgd_split_weighted_kernel_warp.hip.o 2025-08-14T21:40:01.2624497Z [301/612] 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 2025-08-14T21:40:01.9851579Z [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 2025-08-14T21:40:01.9853421Z [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 2025-08-14T21:40:01.9871962Z [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 2025-08-14T21:40:01.9873144Z [303/612] 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 2025-08-14T21:40:02.2417252Z [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 2025-08-14T21:40:02.2418663Z [304/612] 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 2025-08-14T21:40:02.3656733Z [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 2025-08-14T21:40:02.3657771Z [305/612] 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 2025-08-14T21:40:03.7816285Z [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 2025-08-14T21:40:03.7822841Z [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 2025-08-14T21:40:03.7823486Z /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] 2025-08-14T21:40:03.7824483Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7824645Z | ^ 2025-08-14T21:40:03.7825020Z /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 2025-08-14T21:40:03.7825563Z /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 2025-08-14T21:40:03.7825880Z 125 | const auto D = 2025-08-14T21:40:03.7826000Z | ^ 2025-08-14T21:40:03.7826384Z /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] 2025-08-14T21:40:03.7826798Z 370 | int table_to_feature_offset[T + 1]; 2025-08-14T21:40:03.7826946Z | ^~~~~ 2025-08-14T21:40:03.7827357Z /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 2025-08-14T21:40:03.7828071Z /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 2025-08-14T21:40:03.7828401Z 358 | int64_t T = weights_offsets.size(0); 2025-08-14T21:40:03.7828531Z | ^ 2025-08-14T21:40:03.7828906Z /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] 2025-08-14T21:40:03.7829369Z 472 | int table_to_feature_offset[T + 1]; 2025-08-14T21:40:03.7829513Z | ^~~~~ 2025-08-14T21:40:03.7829904Z /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 2025-08-14T21:40:03.7830476Z /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 2025-08-14T21:40:03.7830803Z 458 | int64_t T = D_offsets.numel() - 1; 2025-08-14T21:40:03.7830938Z | ^ 2025-08-14T21:40:03.7831313Z /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] 2025-08-14T21:40:03.7831734Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7831889Z | ^ 2025-08-14T21:40:03.7832487Z /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 2025-08-14T21:40:03.7833074Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:03.7833256Z | ^ 2025-08-14T21:40:03.7833588Z /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 2025-08-14T21:40:03.7833963Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7837072Z | ^ 2025-08-14T21:40:03.7837411Z /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 2025-08-14T21:40:03.7837799Z 125 | const auto D = 2025-08-14T21:40:03.7838028Z | ^ 2025-08-14T21:40:03.7838416Z /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] 2025-08-14T21:40:03.7838835Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7838982Z | ^ 2025-08-14T21:40:03.7839501Z /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 2025-08-14T21:40:03.7840065Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:03.7840239Z | ^ 2025-08-14T21:40:03.7840568Z /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 2025-08-14T21:40:03.7840932Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7841074Z | ^ 2025-08-14T21:40:03.7841385Z /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 2025-08-14T21:40:03.7841692Z 125 | const auto D = 2025-08-14T21:40:03.7841802Z | ^ 2025-08-14T21:40:03.7842173Z /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] 2025-08-14T21:40:03.7842612Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7842757Z | ^ 2025-08-14T21:40:03.7843268Z /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 2025-08-14T21:40:03.7843823Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:03.7843994Z | ^ 2025-08-14T21:40:03.7844321Z /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 2025-08-14T21:40:03.7844690Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7844833Z | ^ 2025-08-14T21:40:03.7845170Z /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 2025-08-14T21:40:03.7845477Z 125 | const auto D = 2025-08-14T21:40:03.7845584Z | ^ 2025-08-14T21:40:03.7845956Z /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] 2025-08-14T21:40:03.7846357Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7846496Z | ^ 2025-08-14T21:40:03.7847008Z /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 2025-08-14T21:40:03.7847608Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:03.7847778Z | ^ 2025-08-14T21:40:03.7848215Z /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 2025-08-14T21:40:03.7848584Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7848734Z | ^ 2025-08-14T21:40:03.7849049Z /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 2025-08-14T21:40:03.7849361Z 125 | const auto D = 2025-08-14T21:40:03.7849475Z | ^ 2025-08-14T21:40:03.7849857Z /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] 2025-08-14T21:40:03.7850268Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7850415Z | ^ 2025-08-14T21:40:03.7850931Z /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 2025-08-14T21:40:03.7851486Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:03.7851663Z | ^ 2025-08-14T21:40:03.7851992Z /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 2025-08-14T21:40:03.7852394Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7852542Z | ^ 2025-08-14T21:40:03.7852857Z /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 2025-08-14T21:40:03.7853167Z 125 | const auto D = 2025-08-14T21:40:03.7853277Z | ^ 2025-08-14T21:40:03.7853652Z /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] 2025-08-14T21:40:03.7855761Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7855919Z | ^ 2025-08-14T21:40:03.7856437Z /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 2025-08-14T21:40:03.7857045Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:03.7857214Z | ^ 2025-08-14T21:40:03.7857542Z /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 2025-08-14T21:40:03.7858016Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7858161Z | ^ 2025-08-14T21:40:03.7858463Z /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 2025-08-14T21:40:03.7858767Z 125 | const auto D = 2025-08-14T21:40:03.7858871Z | ^ 2025-08-14T21:40:03.7860472Z /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] 2025-08-14T21:40:03.7860878Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7861016Z | ^ 2025-08-14T21:40:03.7861521Z /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 2025-08-14T21:40:03.7862069Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:03.7862238Z | ^ 2025-08-14T21:40:03.7862562Z /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 2025-08-14T21:40:03.7862919Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7863055Z | ^ 2025-08-14T21:40:03.7863360Z /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 2025-08-14T21:40:03.7863660Z 125 | const auto D = 2025-08-14T21:40:03.7864848Z | ^ 2025-08-14T21:40:03.7865215Z /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] 2025-08-14T21:40:03.7865662Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7865802Z | ^ 2025-08-14T21:40:03.7866324Z /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 2025-08-14T21:40:03.7866878Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:03.7867046Z | ^ 2025-08-14T21:40:03.7867366Z /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 2025-08-14T21:40:03.7867725Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7868008Z | ^ 2025-08-14T21:40:03.7868318Z /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 2025-08-14T21:40:03.7869739Z 125 | const auto D = 2025-08-14T21:40:03.7869843Z | ^ 2025-08-14T21:40:03.7869963Z 11 warnings generated when compiling for gfx90a. 2025-08-14T21:40:03.7870364Z /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] 2025-08-14T21:40:03.7870760Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7870896Z | ^ 2025-08-14T21:40:03.7871239Z /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 2025-08-14T21:40:03.7871759Z /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 2025-08-14T21:40:03.7872219Z 125 | const auto D = 2025-08-14T21:40:03.7872320Z | ^ 2025-08-14T21:40:03.7873693Z /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] 2025-08-14T21:40:03.7874096Z 370 | int table_to_feature_offset[T + 1]; 2025-08-14T21:40:03.7874229Z | ^~~~~ 2025-08-14T21:40:03.7874608Z /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 2025-08-14T21:40:03.7875163Z /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 2025-08-14T21:40:03.7875482Z 358 | int64_t T = weights_offsets.size(0); 2025-08-14T21:40:03.7875605Z | ^ 2025-08-14T21:40:03.7875973Z /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] 2025-08-14T21:40:03.7876364Z 472 | int table_to_feature_offset[T + 1]; 2025-08-14T21:40:03.7876491Z | ^~~~~ 2025-08-14T21:40:03.7876861Z /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 2025-08-14T21:40:03.7878513Z /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 2025-08-14T21:40:03.7878881Z 458 | int64_t T = D_offsets.numel() - 1; 2025-08-14T21:40:03.7879005Z | ^ 2025-08-14T21:40:03.7879373Z /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] 2025-08-14T21:40:03.7879776Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7879917Z | ^ 2025-08-14T21:40:03.7880418Z /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 2025-08-14T21:40:03.7880960Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:03.7881130Z | ^ 2025-08-14T21:40:03.7881449Z /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 2025-08-14T21:40:03.7881833Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7882993Z | ^ 2025-08-14T21:40:03.7883301Z /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 2025-08-14T21:40:03.7883604Z 125 | const auto D = 2025-08-14T21:40:03.7883706Z | ^ 2025-08-14T21:40:03.7884071Z /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] 2025-08-14T21:40:03.7884474Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7884612Z | ^ 2025-08-14T21:40:03.7885163Z /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 2025-08-14T21:40:03.7885712Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:03.7885879Z | ^ 2025-08-14T21:40:03.7886197Z /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 2025-08-14T21:40:03.7887558Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7887697Z | ^ 2025-08-14T21:40:03.7888173Z /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 2025-08-14T21:40:03.7888480Z 125 | const auto D = 2025-08-14T21:40:03.7888581Z | ^ 2025-08-14T21:40:03.7888942Z /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] 2025-08-14T21:40:03.7889335Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7889471Z | ^ 2025-08-14T21:40:03.7889973Z /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 2025-08-14T21:40:03.7890554Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:03.7891741Z | ^ 2025-08-14T21:40:03.7892067Z /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 2025-08-14T21:40:03.7892425Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7892560Z | ^ 2025-08-14T21:40:03.7892864Z /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 2025-08-14T21:40:03.7893163Z 125 | const auto D = 2025-08-14T21:40:03.7893263Z | ^ 2025-08-14T21:40:03.7893623Z /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] 2025-08-14T21:40:03.7894051Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7894190Z | ^ 2025-08-14T21:40:03.7894811Z /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 2025-08-14T21:40:03.7896373Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:03.7896547Z | ^ 2025-08-14T21:40:03.7896866Z /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 2025-08-14T21:40:03.7897223Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7897359Z | ^ 2025-08-14T21:40:03.7897709Z /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 2025-08-14T21:40:03.7898419Z 125 | const auto D = 2025-08-14T21:40:03.7898520Z | ^ 2025-08-14T21:40:03.7898879Z /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] 2025-08-14T21:40:03.7899270Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7899405Z | ^ 2025-08-14T21:40:03.7900981Z /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 2025-08-14T21:40:03.7901534Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:03.7901701Z | ^ 2025-08-14T21:40:03.7902019Z /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 2025-08-14T21:40:03.7902374Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7902509Z | ^ 2025-08-14T21:40:03.7902810Z /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 2025-08-14T21:40:03.7903108Z 125 | const auto D = 2025-08-14T21:40:03.7903245Z | ^ 2025-08-14T21:40:03.7903628Z /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] 2025-08-14T21:40:03.7904021Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7905220Z | ^ 2025-08-14T21:40:03.7905720Z /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 2025-08-14T21:40:03.7906259Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:03.7906424Z | ^ 2025-08-14T21:40:03.7906738Z /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 2025-08-14T21:40:03.7907129Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7907267Z | ^ 2025-08-14T21:40:03.7907565Z /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 2025-08-14T21:40:03.7907859Z 125 | const auto D = 2025-08-14T21:40:03.7908081Z | ^ 2025-08-14T21:40:03.7908438Z /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] 2025-08-14T21:40:03.7908832Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7908970Z | ^ 2025-08-14T21:40:03.7910566Z /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 2025-08-14T21:40:03.7911107Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:03.7911274Z | ^ 2025-08-14T21:40:03.7911588Z /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 2025-08-14T21:40:03.7911941Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7912076Z | ^ 2025-08-14T21:40:03.7912374Z /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 2025-08-14T21:40:03.7912671Z 125 | const auto D = 2025-08-14T21:40:03.7912772Z | ^ 2025-08-14T21:40:03.7913134Z /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] 2025-08-14T21:40:03.7914492Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7914631Z | ^ 2025-08-14T21:40:03.7915132Z /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 2025-08-14T21:40:03.7915673Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:03.7915882Z | ^ 2025-08-14T21:40:03.7916201Z /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 2025-08-14T21:40:03.7916556Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7916691Z | ^ 2025-08-14T21:40:03.7916988Z /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 2025-08-14T21:40:03.7917283Z 125 | const auto D = 2025-08-14T21:40:03.7917383Z | ^ 2025-08-14T21:40:03.7918880Z 11 warnings generated when compiling for gfx942. 2025-08-14T21:40:03.7919287Z /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] 2025-08-14T21:40:03.7919683Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7919861Z | ^ 2025-08-14T21:40:03.7920207Z /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 2025-08-14T21:40:03.7920724Z /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 2025-08-14T21:40:03.7921018Z 125 | const auto D = 2025-08-14T21:40:03.7921119Z | ^ 2025-08-14T21:40:03.7921479Z /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] 2025-08-14T21:40:03.7921868Z 370 | int table_to_feature_offset[T + 1]; 2025-08-14T21:40:03.7921997Z | ^~~~~ 2025-08-14T21:40:03.7923432Z /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 2025-08-14T21:40:03.7923982Z /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 2025-08-14T21:40:03.7924291Z 358 | int64_t T = weights_offsets.size(0); 2025-08-14T21:40:03.7924412Z | ^ 2025-08-14T21:40:03.7924768Z /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] 2025-08-14T21:40:03.7925156Z 472 | int table_to_feature_offset[T + 1]; 2025-08-14T21:40:03.7925286Z | ^~~~~ 2025-08-14T21:40:03.7925656Z /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 2025-08-14T21:40:03.7926211Z /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 2025-08-14T21:40:03.7926518Z 458 | int64_t T = D_offsets.numel() - 1; 2025-08-14T21:40:03.7926637Z | ^ 2025-08-14T21:40:03.7928111Z /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] 2025-08-14T21:40:03.7928507Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7928646Z | ^ 2025-08-14T21:40:03.7929182Z /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 2025-08-14T21:40:03.7929720Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:03.7929887Z | ^ 2025-08-14T21:40:03.7930201Z /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 2025-08-14T21:40:03.7930554Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7930690Z | ^ 2025-08-14T21:40:03.7930988Z /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 2025-08-14T21:40:03.7932285Z 125 | const auto D = 2025-08-14T21:40:03.7932425Z | ^ 2025-08-14T21:40:03.7932789Z /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] 2025-08-14T21:40:03.7933183Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7933319Z | ^ 2025-08-14T21:40:03.7933821Z /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 2025-08-14T21:40:03.7934363Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:03.7934629Z | ^ 2025-08-14T21:40:03.7934998Z /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 2025-08-14T21:40:03.7935353Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7935489Z | ^ 2025-08-14T21:40:03.7936783Z /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 2025-08-14T21:40:03.7937086Z 125 | const auto D = 2025-08-14T21:40:03.7937186Z | ^ 2025-08-14T21:40:03.7937546Z /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] 2025-08-14T21:40:03.7938045Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7938182Z | ^ 2025-08-14T21:40:03.7938687Z /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 2025-08-14T21:40:03.7939226Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:03.7939390Z | ^ 2025-08-14T21:40:03.7939705Z /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 2025-08-14T21:40:03.7940057Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7941192Z | ^ 2025-08-14T21:40:03.7941534Z /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 2025-08-14T21:40:03.7941837Z 125 | const auto D = 2025-08-14T21:40:03.7941938Z | ^ 2025-08-14T21:40:03.7942299Z /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] 2025-08-14T21:40:03.7942691Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7942827Z | ^ 2025-08-14T21:40:03.7943327Z /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 2025-08-14T21:40:03.7943873Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:03.7944059Z | ^ 2025-08-14T21:40:03.7944377Z /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 2025-08-14T21:40:03.7945732Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7945868Z | ^ 2025-08-14T21:40:03.7946168Z /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 2025-08-14T21:40:03.7946464Z 125 | const auto D = 2025-08-14T21:40:03.7946565Z | ^ 2025-08-14T21:40:03.7946925Z /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] 2025-08-14T21:40:03.7947321Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7947500Z | ^ 2025-08-14T21:40:03.7948106Z /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 2025-08-14T21:40:03.7948642Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:03.7949826Z | ^ 2025-08-14T21:40:03.7950146Z /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 2025-08-14T21:40:03.7950501Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7950637Z | ^ 2025-08-14T21:40:03.7950944Z /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 2025-08-14T21:40:03.7951239Z 125 | const auto D = 2025-08-14T21:40:03.7951339Z | ^ 2025-08-14T21:40:03.7951700Z /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] 2025-08-14T21:40:03.7952091Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7952226Z | ^ 2025-08-14T21:40:03.7952726Z /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 2025-08-14T21:40:03.7954334Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:03.7954503Z | ^ 2025-08-14T21:40:03.7954822Z /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 2025-08-14T21:40:03.7955176Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7955312Z | ^ 2025-08-14T21:40:03.7955614Z /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 2025-08-14T21:40:03.7955911Z 125 | const auto D = 2025-08-14T21:40:03.7956015Z | ^ 2025-08-14T21:40:03.7956380Z /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] 2025-08-14T21:40:03.7956801Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7956935Z | ^ 2025-08-14T21:40:03.7958559Z /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 2025-08-14T21:40:03.7959102Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:03.7959267Z | ^ 2025-08-14T21:40:03.7959583Z /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 2025-08-14T21:40:03.7959945Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7960148Z | ^ 2025-08-14T21:40:03.7960449Z /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 2025-08-14T21:40:03.7960748Z 125 | const auto D = 2025-08-14T21:40:03.7960852Z | ^ 2025-08-14T21:40:03.7961216Z /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] 2025-08-14T21:40:03.7961608Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7962787Z | ^ 2025-08-14T21:40:03.7963304Z /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 2025-08-14T21:40:03.7963855Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:03.7964020Z | ^ 2025-08-14T21:40:03.7964337Z /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 2025-08-14T21:40:03.7964692Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:03.7964827Z | ^ 2025-08-14T21:40:03.7965128Z /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 2025-08-14T21:40:03.7965463Z 125 | const auto D = 2025-08-14T21:40:03.7965565Z | ^ 2025-08-14T21:40:03.7965684Z 11 warnings generated when compiling for host. 2025-08-14T21:40:03.7966805Z 2025-08-14T21:40:04.6357021Z [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 2025-08-14T21:40:04.6358415Z [307/612] 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 2025-08-14T21:40:05.2738018Z [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 2025-08-14T21:40:05.2738720Z [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 2025-08-14T21:40:05.3930977Z [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 2025-08-14T21:40:05.3932641Z [309/612] 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 2025-08-14T21:40:05.3933661Z /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] 2025-08-14T21:40:05.3934369Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.3934770Z | ^ 2025-08-14T21:40:05.3935379Z /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 2025-08-14T21:40:05.3936967Z /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 2025-08-14T21:40:05.3937546Z 123 | const auto D = 2025-08-14T21:40:05.3937730Z | ^ 2025-08-14T21:40:05.3938535Z /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] 2025-08-14T21:40:05.3939242Z 358 | int table_to_feature_offset[T + 1]; 2025-08-14T21:40:05.3939490Z | ^~~~~ 2025-08-14T21:40:05.3940137Z /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 2025-08-14T21:40:05.3941102Z /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 2025-08-14T21:40:05.3941629Z 346 | int64_t T = weights_offsets.size(0); 2025-08-14T21:40:05.3941842Z | ^ 2025-08-14T21:40:05.3942454Z /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] 2025-08-14T21:40:05.3943121Z 456 | int table_to_feature_offset[T + 1]; 2025-08-14T21:40:05.3943340Z | ^~~~~ 2025-08-14T21:40:05.3943951Z /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 2025-08-14T21:40:05.3945050Z /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 2025-08-14T21:40:05.3945578Z 442 | int64_t T = D_offsets.numel() - 1; 2025-08-14T21:40:05.3945786Z | ^ 2025-08-14T21:40:05.3946389Z /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] 2025-08-14T21:40:05.3947079Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.3947322Z | ^ 2025-08-14T21:40:05.3948351Z /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 2025-08-14T21:40:05.3949451Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.3949926Z | ^ 2025-08-14T21:40:05.3950464Z /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 2025-08-14T21:40:05.3951091Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.3951335Z | ^ 2025-08-14T21:40:05.3962784Z /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 2025-08-14T21:40:05.3963386Z 123 | const auto D = 2025-08-14T21:40:05.3963573Z | ^ 2025-08-14T21:40:05.3964204Z /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] 2025-08-14T21:40:05.3964933Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.3965386Z | ^ 2025-08-14T21:40:05.3966299Z /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 2025-08-14T21:40:05.3967294Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.3967594Z | ^ 2025-08-14T21:40:05.3968344Z /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 2025-08-14T21:40:05.3968976Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.3969209Z | ^ 2025-08-14T21:40:05.3969731Z /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 2025-08-14T21:40:05.3970235Z 123 | const auto D = 2025-08-14T21:40:05.3970413Z | ^ 2025-08-14T21:40:05.3971026Z /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] 2025-08-14T21:40:05.3971720Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.3971955Z | ^ 2025-08-14T21:40:05.3972806Z /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 2025-08-14T21:40:05.3973868Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.3974163Z | ^ 2025-08-14T21:40:05.3974878Z /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 2025-08-14T21:40:05.3975482Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.3975717Z | ^ 2025-08-14T21:40:05.3976233Z /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 2025-08-14T21:40:05.3976746Z 123 | const auto D = 2025-08-14T21:40:05.3976920Z | ^ 2025-08-14T21:40:05.3977554Z /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] 2025-08-14T21:40:05.3978613Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.3978845Z | ^ 2025-08-14T21:40:05.3979745Z /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 2025-08-14T21:40:05.3980734Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.3981034Z | ^ 2025-08-14T21:40:05.3981586Z /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 2025-08-14T21:40:05.3982214Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.3982613Z | ^ 2025-08-14T21:40:05.3983117Z /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 2025-08-14T21:40:05.3983630Z 123 | const auto D = 2025-08-14T21:40:05.3983801Z | ^ 2025-08-14T21:40:05.3984394Z /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] 2025-08-14T21:40:05.3985061Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.3985286Z | ^ 2025-08-14T21:40:05.3986109Z /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 2025-08-14T21:40:05.3987034Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.3987324Z | ^ 2025-08-14T21:40:05.3988010Z /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 2025-08-14T21:40:05.3988612Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.3988835Z | ^ 2025-08-14T21:40:05.3989329Z /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 2025-08-14T21:40:05.3989989Z 123 | const auto D = 2025-08-14T21:40:05.3990161Z | ^ 2025-08-14T21:40:05.3990769Z /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] 2025-08-14T21:40:05.3991448Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.3991678Z | ^ 2025-08-14T21:40:05.3992556Z /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 2025-08-14T21:40:05.3993501Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.3993789Z | ^ 2025-08-14T21:40:05.3994337Z /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 2025-08-14T21:40:05.3995049Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.3995284Z | ^ 2025-08-14T21:40:05.3995781Z /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 2025-08-14T21:40:05.3996273Z 123 | const auto D = 2025-08-14T21:40:05.3996440Z | ^ 2025-08-14T21:40:05.3997052Z /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] 2025-08-14T21:40:05.3997712Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.3998085Z | ^ 2025-08-14T21:40:05.3999065Z /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 2025-08-14T21:40:05.3999991Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4000272Z | ^ 2025-08-14T21:40:05.4000800Z /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 2025-08-14T21:40:05.4001404Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4001624Z | ^ 2025-08-14T21:40:05.4002120Z /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 2025-08-14T21:40:05.4002618Z 123 | const auto D = 2025-08-14T21:40:05.4002787Z | ^ 2025-08-14T21:40:05.4003416Z /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] 2025-08-14T21:40:05.4004101Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4004331Z | ^ 2025-08-14T21:40:05.4005193Z /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 2025-08-14T21:40:05.4006131Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4006521Z | ^ 2025-08-14T21:40:05.4007059Z /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 2025-08-14T21:40:05.4007650Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4008008Z | ^ 2025-08-14T21:40:05.4008505Z /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 2025-08-14T21:40:05.4008995Z 123 | const auto D = 2025-08-14T21:40:05.4009163Z | ^ 2025-08-14T21:40:05.4009360Z 11 warnings generated when compiling for gfx90a. 2025-08-14T21:40:05.4009994Z /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] 2025-08-14T21:40:05.4010688Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4011089Z | ^ 2025-08-14T21:40:05.4011654Z /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 2025-08-14T21:40:05.4012511Z /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 2025-08-14T21:40:05.4013007Z 123 | const auto D = 2025-08-14T21:40:05.4013176Z | ^ 2025-08-14T21:40:05.4013787Z /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] 2025-08-14T21:40:05.4014459Z 358 | int table_to_feature_offset[T + 1]; 2025-08-14T21:40:05.4014856Z | ^~~~~ 2025-08-14T21:40:05.4015611Z /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 2025-08-14T21:40:05.4016561Z /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 2025-08-14T21:40:05.4017085Z 346 | int64_t T = weights_offsets.size(0); 2025-08-14T21:40:05.4017296Z | ^ 2025-08-14T21:40:05.4018041Z /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] 2025-08-14T21:40:05.4018700Z 456 | int table_to_feature_offset[T + 1]; 2025-08-14T21:40:05.4018922Z | ^~~~~ 2025-08-14T21:40:05.4019566Z /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 2025-08-14T21:40:05.4020456Z /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 2025-08-14T21:40:05.4020957Z 442 | int64_t T = D_offsets.numel() - 1; 2025-08-14T21:40:05.4021146Z | ^ 2025-08-14T21:40:05.4021708Z /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] 2025-08-14T21:40:05.4022369Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4022588Z | ^ 2025-08-14T21:40:05.4023559Z /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 2025-08-14T21:40:05.4024477Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4024763Z | ^ 2025-08-14T21:40:05.4025278Z /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 2025-08-14T21:40:05.4025878Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4026120Z | ^ 2025-08-14T21:40:05.4026640Z /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 2025-08-14T21:40:05.4027157Z 123 | const auto D = 2025-08-14T21:40:05.4027337Z | ^ 2025-08-14T21:40:05.4028189Z /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] 2025-08-14T21:40:05.4028829Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4029051Z | ^ 2025-08-14T21:40:05.4029886Z /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 2025-08-14T21:40:05.4030784Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4031069Z | ^ 2025-08-14T21:40:05.4031754Z /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 2025-08-14T21:40:05.4032350Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4032591Z | ^ 2025-08-14T21:40:05.4033116Z /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 2025-08-14T21:40:05.4033606Z 123 | const auto D = 2025-08-14T21:40:05.4033771Z | ^ 2025-08-14T21:40:05.4034370Z /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] 2025-08-14T21:40:05.4035031Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4035267Z | ^ 2025-08-14T21:40:05.4036137Z /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 2025-08-14T21:40:05.4037093Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4037386Z | ^ 2025-08-14T21:40:05.4038091Z /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 2025-08-14T21:40:05.4038702Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4038937Z | ^ 2025-08-14T21:40:05.4039431Z /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 2025-08-14T21:40:05.4040037Z 123 | const auto D = 2025-08-14T21:40:05.4040209Z | ^ 2025-08-14T21:40:05.4040810Z /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] 2025-08-14T21:40:05.4041469Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4041709Z | ^ 2025-08-14T21:40:05.4042589Z /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 2025-08-14T21:40:05.4043587Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4043949Z | ^ 2025-08-14T21:40:05.4044467Z /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 2025-08-14T21:40:05.4045048Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4045265Z | ^ 2025-08-14T21:40:05.4045747Z /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 2025-08-14T21:40:05.4046231Z 123 | const auto D = 2025-08-14T21:40:05.4046397Z | ^ 2025-08-14T21:40:05.4046988Z /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] 2025-08-14T21:40:05.4047660Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4048050Z | ^ 2025-08-14T21:40:05.4049085Z /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 2025-08-14T21:40:05.4050016Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4050305Z | ^ 2025-08-14T21:40:05.4050854Z /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 2025-08-14T21:40:05.4051464Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4051702Z | ^ 2025-08-14T21:40:05.4052233Z /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 2025-08-14T21:40:05.4052748Z 123 | const auto D = 2025-08-14T21:40:05.4052921Z | ^ 2025-08-14T21:40:05.4053547Z /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] 2025-08-14T21:40:05.4054240Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4054480Z | ^ 2025-08-14T21:40:05.4055616Z /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 2025-08-14T21:40:05.4056861Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4057215Z | ^ 2025-08-14T21:40:05.4058004Z /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 2025-08-14T21:40:05.4058680Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4058964Z | ^ 2025-08-14T21:40:05.4059595Z /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 2025-08-14T21:40:05.4060160Z 123 | const auto D = 2025-08-14T21:40:05.4060386Z | ^ 2025-08-14T21:40:05.4061112Z /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] 2025-08-14T21:40:05.4061945Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4062290Z | ^ 2025-08-14T21:40:05.4063244Z /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 2025-08-14T21:40:05.4071868Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4072166Z | ^ 2025-08-14T21:40:05.4072720Z /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 2025-08-14T21:40:05.4073353Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4073585Z | ^ 2025-08-14T21:40:05.4074306Z /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 2025-08-14T21:40:05.4074828Z 123 | const auto D = 2025-08-14T21:40:05.4075005Z | ^ 2025-08-14T21:40:05.4075612Z /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] 2025-08-14T21:40:05.4076281Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4082488Z | ^ 2025-08-14T21:40:05.4083427Z /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 2025-08-14T21:40:05.4084369Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4084654Z | ^ 2025-08-14T21:40:05.4085199Z /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 2025-08-14T21:40:05.4085786Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4086013Z | ^ 2025-08-14T21:40:05.4086506Z /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 2025-08-14T21:40:05.4087008Z 123 | const auto D = 2025-08-14T21:40:05.4087317Z | ^ 2025-08-14T21:40:05.4087513Z 11 warnings generated when compiling for gfx942. 2025-08-14T21:40:05.4091080Z /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] 2025-08-14T21:40:05.4091776Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4092009Z | ^ 2025-08-14T21:40:05.4092568Z /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 2025-08-14T21:40:05.4093428Z /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 2025-08-14T21:40:05.4093902Z 123 | const auto D = 2025-08-14T21:40:05.4094065Z | ^ 2025-08-14T21:40:05.4094817Z /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] 2025-08-14T21:40:05.4095587Z 358 | int table_to_feature_offset[T + 1]; 2025-08-14T21:40:05.4095796Z | ^~~~~ 2025-08-14T21:40:05.4096417Z /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 2025-08-14T21:40:05.4099963Z /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 2025-08-14T21:40:05.4100550Z 346 | int64_t T = weights_offsets.size(0); 2025-08-14T21:40:05.4100759Z | ^ 2025-08-14T21:40:05.4101328Z /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] 2025-08-14T21:40:05.4102156Z 456 | int table_to_feature_offset[T + 1]; 2025-08-14T21:40:05.4102359Z | ^~~~~ 2025-08-14T21:40:05.4102946Z /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 2025-08-14T21:40:05.4103846Z /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 2025-08-14T21:40:05.4104358Z 442 | int64_t T = D_offsets.numel() - 1; 2025-08-14T21:40:05.4104558Z | ^ 2025-08-14T21:40:05.4105149Z /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] 2025-08-14T21:40:05.4108378Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4108627Z | ^ 2025-08-14T21:40:05.4109440Z /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 2025-08-14T21:40:05.4110318Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4110608Z | ^ 2025-08-14T21:40:05.4111133Z /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 2025-08-14T21:40:05.4111718Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4112071Z | ^ 2025-08-14T21:40:05.4112577Z /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 2025-08-14T21:40:05.4113065Z 123 | const auto D = 2025-08-14T21:40:05.4113237Z | ^ 2025-08-14T21:40:05.4116361Z /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] 2025-08-14T21:40:05.4117071Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4117297Z | ^ 2025-08-14T21:40:05.4118298Z /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 2025-08-14T21:40:05.4119356Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4119646Z | ^ 2025-08-14T21:40:05.4120186Z /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 2025-08-14T21:40:05.4120804Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4121038Z | ^ 2025-08-14T21:40:05.4121538Z /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 2025-08-14T21:40:05.4124455Z 123 | const auto D = 2025-08-14T21:40:05.4124662Z | ^ 2025-08-14T21:40:05.4125332Z /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] 2025-08-14T21:40:05.4126164Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4126395Z | ^ 2025-08-14T21:40:05.4127248Z /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 2025-08-14T21:40:05.4128364Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4128643Z | ^ 2025-08-14T21:40:05.4129167Z /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 2025-08-14T21:40:05.4129784Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4130020Z | ^ 2025-08-14T21:40:05.4132969Z /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 2025-08-14T21:40:05.4133516Z 123 | const auto D = 2025-08-14T21:40:05.4133689Z | ^ 2025-08-14T21:40:05.4134318Z /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] 2025-08-14T21:40:05.4135136Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4135365Z | ^ 2025-08-14T21:40:05.4136244Z /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 2025-08-14T21:40:05.4137347Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4137642Z | ^ 2025-08-14T21:40:05.4138318Z /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 2025-08-14T21:40:05.4138919Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4141630Z | ^ 2025-08-14T21:40:05.4142151Z /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 2025-08-14T21:40:05.4142662Z 123 | const auto D = 2025-08-14T21:40:05.4142832Z | ^ 2025-08-14T21:40:05.4143457Z /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] 2025-08-14T21:40:05.4144258Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4144489Z | ^ 2025-08-14T21:40:05.4145332Z /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 2025-08-14T21:40:05.4146261Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4146538Z | ^ 2025-08-14T21:40:05.4147080Z /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 2025-08-14T21:40:05.4150417Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4150669Z | ^ 2025-08-14T21:40:05.4151181Z /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 2025-08-14T21:40:05.4151702Z 123 | const auto D = 2025-08-14T21:40:05.4151872Z | ^ 2025-08-14T21:40:05.4152486Z /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] 2025-08-14T21:40:05.4153159Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4153388Z | ^ 2025-08-14T21:40:05.4154290Z /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 2025-08-14T21:40:05.4155223Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4157823Z | ^ 2025-08-14T21:40:05.4158543Z /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 2025-08-14T21:40:05.4159157Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4159382Z | ^ 2025-08-14T21:40:05.4159877Z /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 2025-08-14T21:40:05.4160461Z 123 | const auto D = 2025-08-14T21:40:05.4160621Z | ^ 2025-08-14T21:40:05.4161224Z /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] 2025-08-14T21:40:05.4161860Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4162073Z | ^ 2025-08-14T21:40:05.4162894Z /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 2025-08-14T21:40:05.4165998Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4166311Z | ^ 2025-08-14T21:40:05.4166830Z /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 2025-08-14T21:40:05.4167532Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4167753Z | ^ 2025-08-14T21:40:05.4168375Z /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 2025-08-14T21:40:05.4168868Z 123 | const auto D = 2025-08-14T21:40:05.4169027Z | ^ 2025-08-14T21:40:05.4169610Z /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] 2025-08-14T21:40:05.4170262Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4170483Z | ^ 2025-08-14T21:40:05.4173613Z /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 2025-08-14T21:40:05.4174675Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4174960Z | ^ 2025-08-14T21:40:05.4175511Z /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 2025-08-14T21:40:05.4176120Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4176346Z | ^ 2025-08-14T21:40:05.4176828Z /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 2025-08-14T21:40:05.4177291Z 123 | const auto D = 2025-08-14T21:40:05.4177447Z | ^ 2025-08-14T21:40:05.4177625Z 11 warnings generated when compiling for host. 2025-08-14T21:40:05.4177774Z 2025-08-14T21:40:05.4178692Z [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 2025-08-14T21:40:05.4181818Z [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 2025-08-14T21:40:05.4182904Z /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] 2025-08-14T21:40:05.4183740Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4183969Z | ^~~~~~~~~~~ 2025-08-14T21:40:05.4184601Z /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 2025-08-14T21:40:05.4185255Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4185477Z | ^ 2025-08-14T21:40:05.4186035Z /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 2025-08-14T21:40:05.4186584Z 125 | const auto D = 2025-08-14T21:40:05.4186740Z | ^ 2025-08-14T21:40:05.4187399Z /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] 2025-08-14T21:40:05.4189951Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4190178Z | ^ 2025-08-14T21:40:05.4190804Z /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 2025-08-14T21:40:05.4191758Z /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 2025-08-14T21:40:05.4192305Z 125 | const auto D = 2025-08-14T21:40:05.4192461Z | ^ 2025-08-14T21:40:05.4193116Z /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] 2025-08-14T21:40:05.4193828Z 487 | int table_to_feature_offset[T + 1]; 2025-08-14T21:40:05.4194122Z | ^~~~~ 2025-08-14T21:40:05.4194792Z /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 2025-08-14T21:40:05.4197357Z /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 2025-08-14T21:40:05.4198024Z 475 | int64_t T = weights_offsets.size(0); 2025-08-14T21:40:05.4198223Z | ^ 2025-08-14T21:40:05.4198868Z /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] 2025-08-14T21:40:05.4199591Z 589 | int table_to_feature_offset[T + 1]; 2025-08-14T21:40:05.4199799Z | ^~~~~ 2025-08-14T21:40:05.4200458Z /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 2025-08-14T21:40:05.4201484Z /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 2025-08-14T21:40:05.4202049Z 575 | int64_t T = D_offsets.numel() - 1; 2025-08-14T21:40:05.4202243Z | ^ 2025-08-14T21:40:05.4202890Z /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] 2025-08-14T21:40:05.4205168Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4205397Z | ^~~~~~~~~~~ 2025-08-14T21:40:05.4206033Z /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 2025-08-14T21:40:05.4206765Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:40:05.4207077Z | ^ 2025-08-14T21:40:05.4208116Z /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 2025-08-14T21:40:05.4209107Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4209438Z | ^ 2025-08-14T21:40:05.4210008Z /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 2025-08-14T21:40:05.4210651Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4210870Z | ^ 2025-08-14T21:40:05.4212906Z /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 2025-08-14T21:40:05.4213441Z 125 | const auto D = 2025-08-14T21:40:05.4213597Z | ^ 2025-08-14T21:40:05.4214216Z /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] 2025-08-14T21:40:05.4215016Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4215298Z | ^ 2025-08-14T21:40:05.4216086Z /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 2025-08-14T21:40:05.4216960Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4217218Z | ^ 2025-08-14T21:40:05.4217743Z /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 2025-08-14T21:40:05.4218493Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4220968Z | ^ 2025-08-14T21:40:05.4221512Z /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 2025-08-14T21:40:05.4222006Z 125 | const auto D = 2025-08-14T21:40:05.4222167Z | ^ 2025-08-14T21:40:05.4222762Z /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] 2025-08-14T21:40:05.4223439Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4223660Z | ^~~~~~~~~~~ 2025-08-14T21:40:05.4224256Z /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 2025-08-14T21:40:05.4225070Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:40:05.4225379Z | ^ 2025-08-14T21:40:05.4228548Z /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 2025-08-14T21:40:05.4229483Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4229753Z | ^ 2025-08-14T21:40:05.4230300Z /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 2025-08-14T21:40:05.4230928Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4231247Z | ^ 2025-08-14T21:40:05.4231767Z /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 2025-08-14T21:40:05.4232292Z 125 | const auto D = 2025-08-14T21:40:05.4232453Z | ^ 2025-08-14T21:40:05.4233073Z /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] 2025-08-14T21:40:05.4233761Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4236142Z | ^ 2025-08-14T21:40:05.4237137Z /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 2025-08-14T21:40:05.4238168Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4238438Z | ^ 2025-08-14T21:40:05.4238977Z /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 2025-08-14T21:40:05.4239578Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4239786Z | ^ 2025-08-14T21:40:05.4240278Z /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 2025-08-14T21:40:05.4240778Z 125 | const auto D = 2025-08-14T21:40:05.4240938Z | ^ 2025-08-14T21:40:05.4241524Z /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] 2025-08-14T21:40:05.4242155Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4244724Z | ^~~~~~~~~~~ 2025-08-14T21:40:05.4245337Z /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 2025-08-14T21:40:05.4246029Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:40:05.4246342Z | ^ 2025-08-14T21:40:05.4247392Z /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 2025-08-14T21:40:05.4248471Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4248755Z | ^ 2025-08-14T21:40:05.4249337Z /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 2025-08-14T21:40:05.4249952Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4250182Z | ^ 2025-08-14T21:40:05.4250729Z /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 2025-08-14T21:40:05.4253942Z 125 | const auto D = 2025-08-14T21:40:05.4254119Z | ^ 2025-08-14T21:40:05.4254933Z /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] 2025-08-14T21:40:05.4255653Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4256007Z | ^ 2025-08-14T21:40:05.4257397Z /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 2025-08-14T21:40:05.4258470Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4258746Z | ^ 2025-08-14T21:40:05.4259426Z /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 2025-08-14T21:40:05.4260045Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4262353Z | ^ 2025-08-14T21:40:05.4262885Z /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 2025-08-14T21:40:05.4263407Z 125 | const auto D = 2025-08-14T21:40:05.4263567Z | ^ 2025-08-14T21:40:05.4264209Z /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] 2025-08-14T21:40:05.4264891Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4265115Z | ^~~~~~~~~~~ 2025-08-14T21:40:05.4265663Z /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 2025-08-14T21:40:05.4266297Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:40:05.4266577Z | ^ 2025-08-14T21:40:05.4269489Z /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 2025-08-14T21:40:05.4270577Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4270857Z | ^ 2025-08-14T21:40:05.4271392Z /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 2025-08-14T21:40:05.4271965Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4272175Z | ^ 2025-08-14T21:40:05.4272671Z /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 2025-08-14T21:40:05.4273183Z 125 | const auto D = 2025-08-14T21:40:05.4273346Z | ^ 2025-08-14T21:40:05.4273976Z /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] 2025-08-14T21:40:05.4274728Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4277104Z | ^ 2025-08-14T21:40:05.4278140Z /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 2025-08-14T21:40:05.4279112Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4279385Z | ^ 2025-08-14T21:40:05.4279935Z /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 2025-08-14T21:40:05.4280541Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4280759Z | ^ 2025-08-14T21:40:05.4281385Z /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 2025-08-14T21:40:05.4281891Z 125 | const auto D = 2025-08-14T21:40:05.4282052Z | ^ 2025-08-14T21:40:05.4282644Z /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] 2025-08-14T21:40:05.4285205Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4285416Z | ^~~~~~~~~~~ 2025-08-14T21:40:05.4285982Z /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 2025-08-14T21:40:05.4286637Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:40:05.4286919Z | ^ 2025-08-14T21:40:05.4287779Z /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 2025-08-14T21:40:05.4288770Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4289028Z | ^ 2025-08-14T21:40:05.4289544Z /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 2025-08-14T21:40:05.4290235Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4290447Z | ^ 2025-08-14T21:40:05.4293125Z /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 2025-08-14T21:40:05.4293652Z 125 | const auto D = 2025-08-14T21:40:05.4293816Z | ^ 2025-08-14T21:40:05.4294417Z /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] 2025-08-14T21:40:05.4295249Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4295454Z | ^ 2025-08-14T21:40:05.4296281Z /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 2025-08-14T21:40:05.4297288Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4297565Z | ^ 2025-08-14T21:40:05.4298272Z /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 2025-08-14T21:40:05.4301166Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4301417Z | ^ 2025-08-14T21:40:05.4301947Z /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 2025-08-14T21:40:05.4302483Z 125 | const auto D = 2025-08-14T21:40:05.4302649Z | ^ 2025-08-14T21:40:05.4303416Z /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] 2025-08-14T21:40:05.4304115Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4304338Z | ^~~~~~~~~~~ 2025-08-14T21:40:05.4304943Z /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 2025-08-14T21:40:05.4305641Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:40:05.4305938Z | ^ 2025-08-14T21:40:05.4309134Z /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 2025-08-14T21:40:05.4310101Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4310366Z | ^ 2025-08-14T21:40:05.4310921Z /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 2025-08-14T21:40:05.4311564Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4311792Z | ^ 2025-08-14T21:40:05.4312336Z /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 2025-08-14T21:40:05.4312988Z 125 | const auto D = 2025-08-14T21:40:05.4313154Z | ^ 2025-08-14T21:40:05.4313806Z /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] 2025-08-14T21:40:05.4314522Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4316924Z | ^ 2025-08-14T21:40:05.4317994Z /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 2025-08-14T21:40:05.4319006Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4319377Z | ^ 2025-08-14T21:40:05.4319966Z /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 2025-08-14T21:40:05.4320618Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4320845Z | ^ 2025-08-14T21:40:05.4321395Z /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 2025-08-14T21:40:05.4321948Z 125 | const auto D = 2025-08-14T21:40:05.4322118Z | ^ 2025-08-14T21:40:05.4322778Z /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] 2025-08-14T21:40:05.4325628Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4325967Z | ^~~~~~~~~~~ 2025-08-14T21:40:05.4326599Z /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 2025-08-14T21:40:05.4327303Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:40:05.4327617Z | ^ 2025-08-14T21:40:05.4328925Z /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 2025-08-14T21:40:05.4329945Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4330234Z | ^ 2025-08-14T21:40:05.4330821Z /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 2025-08-14T21:40:05.4331479Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4333967Z | ^ 2025-08-14T21:40:05.4334712Z /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 2025-08-14T21:40:05.4335269Z 125 | const auto D = 2025-08-14T21:40:05.4335434Z | ^ 2025-08-14T21:40:05.4336047Z /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] 2025-08-14T21:40:05.4336882Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4337109Z | ^ 2025-08-14T21:40:05.4338183Z /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 2025-08-14T21:40:05.4339215Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4339522Z | ^ 2025-08-14T21:40:05.4340093Z /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 2025-08-14T21:40:05.4343029Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4343403Z | ^ 2025-08-14T21:40:05.4343965Z /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 2025-08-14T21:40:05.4344510Z 125 | const auto D = 2025-08-14T21:40:05.4344689Z | ^ 2025-08-14T21:40:05.4345362Z /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] 2025-08-14T21:40:05.4346109Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4346348Z | ^~~~~~~~~~~ 2025-08-14T21:40:05.4346996Z /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 2025-08-14T21:40:05.4347988Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:40:05.4348314Z | ^ 2025-08-14T21:40:05.4351539Z /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 2025-08-14T21:40:05.4352568Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4352867Z | ^ 2025-08-14T21:40:05.4353456Z /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 2025-08-14T21:40:05.4354135Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4354374Z | ^ 2025-08-14T21:40:05.4354942Z /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 2025-08-14T21:40:05.4355492Z 125 | const auto D = 2025-08-14T21:40:05.4355665Z | ^ 2025-08-14T21:40:05.4356343Z /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] 2025-08-14T21:40:05.4357083Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4359555Z | ^ 2025-08-14T21:40:05.4360598Z /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 2025-08-14T21:40:05.4361631Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4361927Z | ^ 2025-08-14T21:40:05.4362528Z /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 2025-08-14T21:40:05.4363189Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4363420Z | ^ 2025-08-14T21:40:05.4363986Z /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 2025-08-14T21:40:05.4364612Z 125 | const auto D = 2025-08-14T21:40:05.4364783Z | ^ 2025-08-14T21:40:05.4364987Z 20 warnings generated when compiling for gfx90a. 2025-08-14T21:40:05.4367762Z /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] 2025-08-14T21:40:05.4369041Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4369274Z | ^~~~~~~~~~~ 2025-08-14T21:40:05.4369866Z /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 2025-08-14T21:40:05.4370470Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4370689Z | ^ 2025-08-14T21:40:05.4371374Z /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 2025-08-14T21:40:05.4371907Z 125 | const auto D = 2025-08-14T21:40:05.4372070Z | ^ 2025-08-14T21:40:05.4372713Z /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] 2025-08-14T21:40:05.4375959Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4376212Z | ^ 2025-08-14T21:40:05.4376799Z /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 2025-08-14T21:40:05.4377742Z /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 2025-08-14T21:40:05.4378453Z 125 | const auto D = 2025-08-14T21:40:05.4378616Z | ^ 2025-08-14T21:40:05.4379223Z /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] 2025-08-14T21:40:05.4379873Z 487 | int table_to_feature_offset[T + 1]; 2025-08-14T21:40:05.4380074Z | ^~~~~ 2025-08-14T21:40:05.4380689Z /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 2025-08-14T21:40:05.4381759Z /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 2025-08-14T21:40:05.4384749Z 475 | int64_t T = weights_offsets.size(0); 2025-08-14T21:40:05.4384989Z | ^ 2025-08-14T21:40:05.4385612Z /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] 2025-08-14T21:40:05.4386318Z 589 | int table_to_feature_offset[T + 1]; 2025-08-14T21:40:05.4386547Z | ^~~~~ 2025-08-14T21:40:05.4387240Z /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 2025-08-14T21:40:05.4388307Z /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 2025-08-14T21:40:05.4388952Z 575 | int64_t T = D_offsets.numel() - 1; 2025-08-14T21:40:05.4389142Z | ^ 2025-08-14T21:40:05.4389729Z /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] 2025-08-14T21:40:05.4390372Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4392855Z | ^~~~~~~~~~~ 2025-08-14T21:40:05.4393456Z /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 2025-08-14T21:40:05.4394115Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:40:05.4394414Z | ^ 2025-08-14T21:40:05.4395414Z /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 2025-08-14T21:40:05.4396364Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4396638Z | ^ 2025-08-14T21:40:05.4397173Z /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 2025-08-14T21:40:05.4397778Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4398128Z | ^ 2025-08-14T21:40:05.4398655Z /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 2025-08-14T21:40:05.4401444Z 125 | const auto D = 2025-08-14T21:40:05.4401618Z | ^ 2025-08-14T21:40:05.4402253Z /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] 2025-08-14T21:40:05.4402948Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4403170Z | ^ 2025-08-14T21:40:05.4404055Z /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 2025-08-14T21:40:05.4405181Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4405488Z | ^ 2025-08-14T21:40:05.4406093Z /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 2025-08-14T21:40:05.4406748Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4409330Z | ^ 2025-08-14T21:40:05.4409898Z /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 2025-08-14T21:40:05.4410413Z 125 | const auto D = 2025-08-14T21:40:05.4410581Z | ^ 2025-08-14T21:40:05.4411180Z /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] 2025-08-14T21:40:05.4411992Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4412220Z | ^~~~~~~~~~~ 2025-08-14T21:40:05.4412812Z /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 2025-08-14T21:40:05.4413496Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:40:05.4413802Z | ^ 2025-08-14T21:40:05.4414826Z /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 2025-08-14T21:40:05.4418621Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4418924Z | ^ 2025-08-14T21:40:05.4419487Z /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 2025-08-14T21:40:05.4420110Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4420340Z | ^ 2025-08-14T21:40:05.4420886Z /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 2025-08-14T21:40:05.4421424Z 125 | const auto D = 2025-08-14T21:40:05.4421588Z | ^ 2025-08-14T21:40:05.4422240Z /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] 2025-08-14T21:40:05.4422973Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4423213Z | ^ 2025-08-14T21:40:05.4426593Z /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 2025-08-14T21:40:05.4427617Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4428124Z | ^ 2025-08-14T21:40:05.4428690Z /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 2025-08-14T21:40:05.4429544Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4429764Z | ^ 2025-08-14T21:40:05.4430286Z /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 2025-08-14T21:40:05.4430795Z 125 | const auto D = 2025-08-14T21:40:05.4430959Z | ^ 2025-08-14T21:40:05.4431572Z /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] 2025-08-14T21:40:05.4432240Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4434739Z | ^~~~~~~~~~~ 2025-08-14T21:40:05.4435369Z /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 2025-08-14T21:40:05.4436128Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:40:05.4436430Z | ^ 2025-08-14T21:40:05.4437334Z /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 2025-08-14T21:40:05.4438513Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4438792Z | ^ 2025-08-14T21:40:05.4439320Z /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 2025-08-14T21:40:05.4440099Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4440320Z | ^ 2025-08-14T21:40:05.4443683Z /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 2025-08-14T21:40:05.4444224Z 125 | const auto D = 2025-08-14T21:40:05.4444398Z | ^ 2025-08-14T21:40:05.4445091Z /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] 2025-08-14T21:40:05.4445842Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4446091Z | ^ 2025-08-14T21:40:05.4447039Z /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 2025-08-14T21:40:05.4448218Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4448518Z | ^ 2025-08-14T21:40:05.4449102Z /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 2025-08-14T21:40:05.4449775Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4452256Z | ^ 2025-08-14T21:40:05.4452856Z /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 2025-08-14T21:40:05.4453562Z 125 | const auto D = 2025-08-14T21:40:05.4453741Z | ^ 2025-08-14T21:40:05.4454416Z /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] 2025-08-14T21:40:05.4455327Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4455555Z | ^~~~~~~~~~~ 2025-08-14T21:40:05.4456168Z /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 2025-08-14T21:40:05.4456902Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:40:05.4457224Z | ^ 2025-08-14T21:40:05.4458478Z /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 2025-08-14T21:40:05.4459478Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4462129Z | ^ 2025-08-14T21:40:05.4462706Z /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 2025-08-14T21:40:05.4463311Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4463529Z | ^ 2025-08-14T21:40:05.4464052Z /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 2025-08-14T21:40:05.4464716Z 125 | const auto D = 2025-08-14T21:40:05.4464883Z | ^ 2025-08-14T21:40:05.4465491Z /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] 2025-08-14T21:40:05.4466150Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4466367Z | ^ 2025-08-14T21:40:05.4467201Z /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 2025-08-14T21:40:05.4470662Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4470949Z | ^ 2025-08-14T21:40:05.4471489Z /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 2025-08-14T21:40:05.4472088Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4472315Z | ^ 2025-08-14T21:40:05.4472830Z /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 2025-08-14T21:40:05.4473334Z 125 | const auto D = 2025-08-14T21:40:05.4473498Z | ^ 2025-08-14T21:40:05.4474121Z /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] 2025-08-14T21:40:05.4474926Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4477477Z | ^~~~~~~~~~~ 2025-08-14T21:40:05.4478266Z /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 2025-08-14T21:40:05.4478979Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:40:05.4479296Z | ^ 2025-08-14T21:40:05.4480172Z /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 2025-08-14T21:40:05.4481248Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4481521Z | ^ 2025-08-14T21:40:05.4482055Z /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 2025-08-14T21:40:05.4482658Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4482874Z | ^ 2025-08-14T21:40:05.4483381Z /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 2025-08-14T21:40:05.4486575Z 125 | const auto D = 2025-08-14T21:40:05.4486782Z | ^ 2025-08-14T21:40:05.4487575Z /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] 2025-08-14T21:40:05.4488459Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4488678Z | ^ 2025-08-14T21:40:05.4489502Z /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 2025-08-14T21:40:05.4490416Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4490701Z | ^ 2025-08-14T21:40:05.4495452Z /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 2025-08-14T21:40:05.4496120Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4496349Z | ^ 2025-08-14T21:40:05.4496864Z /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 2025-08-14T21:40:05.4497373Z 125 | const auto D = 2025-08-14T21:40:05.4497543Z | ^ 2025-08-14T21:40:05.4498335Z /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] 2025-08-14T21:40:05.4499099Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4499356Z | ^~~~~~~~~~~ 2025-08-14T21:40:05.4500168Z /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 2025-08-14T21:40:05.4500880Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:40:05.4501263Z | ^ 2025-08-14T21:40:05.4502237Z /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 2025-08-14T21:40:05.4503180Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4503466Z | ^ 2025-08-14T21:40:05.4504009Z /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 2025-08-14T21:40:05.4504718Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4504950Z | ^ 2025-08-14T21:40:05.4505474Z /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 2025-08-14T21:40:05.4505991Z 125 | const auto D = 2025-08-14T21:40:05.4506162Z | ^ 2025-08-14T21:40:05.4506772Z /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] 2025-08-14T21:40:05.4507444Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4507673Z | ^ 2025-08-14T21:40:05.4508942Z /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 2025-08-14T21:40:05.4509903Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4510186Z | ^ 2025-08-14T21:40:05.4510740Z /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 2025-08-14T21:40:05.4511368Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4511594Z | ^ 2025-08-14T21:40:05.4512128Z /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 2025-08-14T21:40:05.4515759Z 125 | const auto D = 2025-08-14T21:40:05.4515999Z | ^ 2025-08-14T21:40:05.4516652Z /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] 2025-08-14T21:40:05.4517374Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4517603Z | ^~~~~~~~~~~ 2025-08-14T21:40:05.4518344Z /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 2025-08-14T21:40:05.4519044Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:40:05.4519482Z | ^ 2025-08-14T21:40:05.4520380Z /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 2025-08-14T21:40:05.4521357Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4521638Z | ^ 2025-08-14T21:40:05.4524692Z /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 2025-08-14T21:40:05.4525336Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4525570Z | ^ 2025-08-14T21:40:05.4526099Z /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 2025-08-14T21:40:05.4526753Z 125 | const auto D = 2025-08-14T21:40:05.4526909Z | ^ 2025-08-14T21:40:05.4527512Z /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] 2025-08-14T21:40:05.4528381Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4528619Z | ^ 2025-08-14T21:40:05.4529527Z /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 2025-08-14T21:40:05.4530556Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4533442Z | ^ 2025-08-14T21:40:05.4534062Z /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 2025-08-14T21:40:05.4534896Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4535138Z | ^ 2025-08-14T21:40:05.4535707Z /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 2025-08-14T21:40:05.4536220Z 125 | const auto D = 2025-08-14T21:40:05.4536387Z | ^ 2025-08-14T21:40:05.4537022Z /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] 2025-08-14T21:40:05.4537709Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4538176Z | ^~~~~~~~~~~ 2025-08-14T21:40:05.4538788Z /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 2025-08-14T21:40:05.4542009Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:40:05.4542345Z | ^ 2025-08-14T21:40:05.4543236Z /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 2025-08-14T21:40:05.4544366Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4544643Z | ^ 2025-08-14T21:40:05.4545188Z /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 2025-08-14T21:40:05.4545823Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4546052Z | ^ 2025-08-14T21:40:05.4546566Z /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 2025-08-14T21:40:05.4547089Z 125 | const auto D = 2025-08-14T21:40:05.4549754Z | ^ 2025-08-14T21:40:05.4550429Z /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] 2025-08-14T21:40:05.4551246Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4551475Z | ^ 2025-08-14T21:40:05.4552365Z /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 2025-08-14T21:40:05.4553330Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4553610Z | ^ 2025-08-14T21:40:05.4554180Z /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 2025-08-14T21:40:05.4554903Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4555126Z | ^ 2025-08-14T21:40:05.4555637Z /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 2025-08-14T21:40:05.4558629Z 125 | const auto D = 2025-08-14T21:40:05.4558819Z | ^ 2025-08-14T21:40:05.4559014Z 20 warnings generated when compiling for gfx942. 2025-08-14T21:40:05.4559717Z /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] 2025-08-14T21:40:05.4560422Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4560643Z | ^~~~~~~~~~~ 2025-08-14T21:40:05.4561226Z /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 2025-08-14T21:40:05.4561831Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4562051Z | ^ 2025-08-14T21:40:05.4562561Z /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 2025-08-14T21:40:05.4563068Z 125 | const auto D = 2025-08-14T21:40:05.4565706Z | ^ 2025-08-14T21:40:05.4566325Z /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] 2025-08-14T21:40:05.4567136Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4567365Z | ^ 2025-08-14T21:40:05.4568172Z /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 2025-08-14T21:40:05.4569078Z /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 2025-08-14T21:40:05.4569601Z 125 | const auto D = 2025-08-14T21:40:05.4569768Z | ^ 2025-08-14T21:40:05.4570383Z /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] 2025-08-14T21:40:05.4571060Z 487 | int table_to_feature_offset[T + 1]; 2025-08-14T21:40:05.4571273Z | ^~~~~ 2025-08-14T21:40:05.4574730Z /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 2025-08-14T21:40:05.4575712Z /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 2025-08-14T21:40:05.4576241Z 475 | int64_t T = weights_offsets.size(0); 2025-08-14T21:40:05.4576442Z | ^ 2025-08-14T21:40:05.4577089Z /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] 2025-08-14T21:40:05.4577819Z 589 | int table_to_feature_offset[T + 1]; 2025-08-14T21:40:05.4578208Z | ^~~~~ 2025-08-14T21:40:05.4579033Z /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 2025-08-14T21:40:05.4580076Z /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 2025-08-14T21:40:05.4580649Z 575 | int64_t T = D_offsets.numel() - 1; 2025-08-14T21:40:05.4583349Z | ^ 2025-08-14T21:40:05.4584022Z /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] 2025-08-14T21:40:05.4584767Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4585009Z | ^~~~~~~~~~~ 2025-08-14T21:40:05.4585659Z /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 2025-08-14T21:40:05.4586408Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:40:05.4586733Z | ^ 2025-08-14T21:40:05.4587666Z /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 2025-08-14T21:40:05.4588776Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4589168Z | ^ 2025-08-14T21:40:05.4589723Z /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 2025-08-14T21:40:05.4592699Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4592956Z | ^ 2025-08-14T21:40:05.4593483Z /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 2025-08-14T21:40:05.4594001Z 125 | const auto D = 2025-08-14T21:40:05.4594176Z | ^ 2025-08-14T21:40:05.4594815Z /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] 2025-08-14T21:40:05.4595542Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4595777Z | ^ 2025-08-14T21:40:05.4596780Z /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 2025-08-14T21:40:05.4597757Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4598286Z | ^ 2025-08-14T21:40:05.4602135Z /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 2025-08-14T21:40:05.4602783Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4603014Z | ^ 2025-08-14T21:40:05.4603696Z /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 2025-08-14T21:40:05.4604251Z 125 | const auto D = 2025-08-14T21:40:05.4604422Z | ^ 2025-08-14T21:40:05.4605081Z /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] 2025-08-14T21:40:05.4605763Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4605985Z | ^~~~~~~~~~~ 2025-08-14T21:40:05.4606574Z /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 2025-08-14T21:40:05.4607246Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:40:05.4610088Z | ^ 2025-08-14T21:40:05.4611000Z /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 2025-08-14T21:40:05.4611942Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4612217Z | ^ 2025-08-14T21:40:05.4612750Z /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 2025-08-14T21:40:05.4613354Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4613731Z | ^ 2025-08-14T21:40:05.4614261Z /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 2025-08-14T21:40:05.4614960Z 125 | const auto D = 2025-08-14T21:40:05.4615126Z | ^ 2025-08-14T21:40:05.4615731Z /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] 2025-08-14T21:40:05.4618909Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4619143Z | ^ 2025-08-14T21:40:05.4620031Z /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 2025-08-14T21:40:05.4621108Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4621390Z | ^ 2025-08-14T21:40:05.4621924Z /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 2025-08-14T21:40:05.4622586Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4622823Z | ^ 2025-08-14T21:40:05.4623383Z /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 2025-08-14T21:40:05.4623939Z 125 | const auto D = 2025-08-14T21:40:05.4626368Z | ^ 2025-08-14T21:40:05.4627198Z /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] 2025-08-14T21:40:05.4628020Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4628248Z | ^~~~~~~~~~~ 2025-08-14T21:40:05.4628835Z /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 2025-08-14T21:40:05.4629522Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:40:05.4629828Z | ^ 2025-08-14T21:40:05.4630722Z /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 2025-08-14T21:40:05.4631687Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4631973Z | ^ 2025-08-14T21:40:05.4632514Z /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 2025-08-14T21:40:05.4635512Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4635748Z | ^ 2025-08-14T21:40:05.4636272Z /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 2025-08-14T21:40:05.4636930Z 125 | const auto D = 2025-08-14T21:40:05.4637099Z | ^ 2025-08-14T21:40:05.4637766Z /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] 2025-08-14T21:40:05.4638655Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4638878Z | ^ 2025-08-14T21:40:05.4639745Z /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 2025-08-14T21:40:05.4640678Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4640949Z | ^ 2025-08-14T21:40:05.4643602Z /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 2025-08-14T21:40:05.4644372Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4644600Z | ^ 2025-08-14T21:40:05.4645128Z /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 2025-08-14T21:40:05.4645642Z 125 | const auto D = 2025-08-14T21:40:05.4645807Z | ^ 2025-08-14T21:40:05.4646428Z /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] 2025-08-14T21:40:05.4647099Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4647323Z | ^~~~~~~~~~~ 2025-08-14T21:40:05.4648142Z /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 2025-08-14T21:40:05.4648839Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:40:05.4651097Z | ^ 2025-08-14T21:40:05.4651994Z /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 2025-08-14T21:40:05.4652956Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4653243Z | ^ 2025-08-14T21:40:05.4653805Z /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 2025-08-14T21:40:05.4654421Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4654799Z | ^ 2025-08-14T21:40:05.4655327Z /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 2025-08-14T21:40:05.4655852Z 125 | const auto D = 2025-08-14T21:40:05.4656017Z | ^ 2025-08-14T21:40:05.4659041Z /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] 2025-08-14T21:40:05.4659928Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4660155Z | ^ 2025-08-14T21:40:05.4661025Z /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 2025-08-14T21:40:05.4661991Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4662281Z | ^ 2025-08-14T21:40:05.4662827Z /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 2025-08-14T21:40:05.4663458Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4663686Z | ^ 2025-08-14T21:40:05.4664214Z /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 2025-08-14T21:40:05.4664830Z 125 | const auto D = 2025-08-14T21:40:05.4667249Z | ^ 2025-08-14T21:40:05.4668056Z /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] 2025-08-14T21:40:05.4668757Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4668984Z | ^~~~~~~~~~~ 2025-08-14T21:40:05.4669590Z /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 2025-08-14T21:40:05.4670281Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:40:05.4670735Z | ^ 2025-08-14T21:40:05.4671609Z /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 2025-08-14T21:40:05.4672560Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4672834Z | ^ 2025-08-14T21:40:05.4673398Z /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 2025-08-14T21:40:05.4676436Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4676671Z | ^ 2025-08-14T21:40:05.4677229Z /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 2025-08-14T21:40:05.4677769Z 125 | const auto D = 2025-08-14T21:40:05.4678123Z | ^ 2025-08-14T21:40:05.4678763Z /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] 2025-08-14T21:40:05.4679475Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4679696Z | ^ 2025-08-14T21:40:05.4680549Z /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 2025-08-14T21:40:05.4681618Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4681889Z | ^ 2025-08-14T21:40:05.4684672Z /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 2025-08-14T21:40:05.4685294Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4685516Z | ^ 2025-08-14T21:40:05.4686041Z /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 2025-08-14T21:40:05.4686568Z 125 | const auto D = 2025-08-14T21:40:05.4686739Z | ^ 2025-08-14T21:40:05.4687377Z /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] 2025-08-14T21:40:05.4688332Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4688551Z | ^~~~~~~~~~~ 2025-08-14T21:40:05.4689140Z /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 2025-08-14T21:40:05.4692077Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:40:05.4692425Z | ^ 2025-08-14T21:40:05.4693478Z /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 2025-08-14T21:40:05.4694446Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4694889Z | ^ 2025-08-14T21:40:05.4695438Z /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 2025-08-14T21:40:05.4696064Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4696279Z | ^ 2025-08-14T21:40:05.4696792Z /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 2025-08-14T21:40:05.4697306Z 125 | const auto D = 2025-08-14T21:40:05.4697468Z | ^ 2025-08-14T21:40:05.4700571Z /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] 2025-08-14T21:40:05.4701307Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4701533Z | ^ 2025-08-14T21:40:05.4702429Z /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 2025-08-14T21:40:05.4703382Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4703791Z | ^ 2025-08-14T21:40:05.4704338Z /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 2025-08-14T21:40:05.4704956Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4705180Z | ^ 2025-08-14T21:40:05.4705698Z /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 2025-08-14T21:40:05.4706207Z 125 | const auto D = 2025-08-14T21:40:05.4708886Z | ^ 2025-08-14T21:40:05.4709534Z /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] 2025-08-14T21:40:05.4710242Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4710463Z | ^~~~~~~~~~~ 2025-08-14T21:40:05.4711188Z /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 2025-08-14T21:40:05.4711851Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:40:05.4712147Z | ^ 2025-08-14T21:40:05.4713007Z /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 2025-08-14T21:40:05.4713989Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4714271Z | ^ 2025-08-14T21:40:05.4714976Z /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 2025-08-14T21:40:05.4717840Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4718190Z | ^ 2025-08-14T21:40:05.4718697Z /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 2025-08-14T21:40:05.4719206Z 125 | const auto D = 2025-08-14T21:40:05.4719367Z | ^ 2025-08-14T21:40:05.4719967Z /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] 2025-08-14T21:40:05.4720656Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4720888Z | ^ 2025-08-14T21:40:05.4721809Z /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 2025-08-14T21:40:05.4722817Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4725430Z | ^ 2025-08-14T21:40:05.4726030Z /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 2025-08-14T21:40:05.4726678Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4727037Z | ^ 2025-08-14T21:40:05.4727590Z /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 2025-08-14T21:40:05.4728263Z 125 | const auto D = 2025-08-14T21:40:05.4728424Z | ^ 2025-08-14T21:40:05.4729039Z /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] 2025-08-14T21:40:05.4729695Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4729910Z | ^~~~~~~~~~~ 2025-08-14T21:40:05.4730484Z /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 2025-08-14T21:40:05.4733470Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:40:05.4733950Z | ^ 2025-08-14T21:40:05.4735016Z /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 2025-08-14T21:40:05.4735983Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4736261Z | ^ 2025-08-14T21:40:05.4736810Z /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 2025-08-14T21:40:05.4737447Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:40:05.4737680Z | ^ 2025-08-14T21:40:05.4738515Z /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 2025-08-14T21:40:05.4739054Z 125 | const auto D = 2025-08-14T21:40:05.4739225Z | ^ 2025-08-14T21:40:05.4742396Z /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] 2025-08-14T21:40:05.4743154Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4743395Z | ^ 2025-08-14T21:40:05.4744342Z /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 2025-08-14T21:40:05.4745382Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:40:05.4745674Z | ^ 2025-08-14T21:40:05.4746212Z /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 2025-08-14T21:40:05.4746815Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:40:05.4747032Z | ^ 2025-08-14T21:40:05.4747545Z /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 2025-08-14T21:40:05.4748195Z 125 | const auto D = 2025-08-14T21:40:05.4750761Z | ^ 2025-08-14T21:40:05.4750974Z 20 warnings generated when compiling for host. 2025-08-14T21:40:05.4751149Z 2025-08-14T21:40:06.0196542Z [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 2025-08-14T21:40:06.0219260Z [311/612] 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 2025-08-14T21:40:06.7535944Z [311/612] Linking CXX shared library fbgemm_gpu_tbe_training_backward_pt2.so 2025-08-14T21:40:06.7536285Z [312/612] Linking CXX shared library fbgemm_gpu_tbe_training_backward_pt2.so 2025-08-14T21:40:06.7700666Z [312/612] 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 2025-08-14T21:40:06.7702650Z [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 2025-08-14T21:40:06.7703344Z ################################################################################ 2025-08-14T21:40:06.7703503Z [CMAKE] Running post-build script ... 2025-08-14T21:40:06.7703800Z Target file: 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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 2025-08-14T21:40:11.0327344Z [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_hip.hip.o 2025-08-14T21:40:11.7996515Z [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 2025-08-14T21:40:11.7997614Z [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 2025-08-14T21:40:11.9248753Z [316/612] 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_lamb_split_unweighted_nobag_hip.hip.o 2025-08-14T21:40:14.9960852Z [323/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_weighted_gwd_kernel.hip.o 2025-08-14T21:40:15.2553785Z [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 2025-08-14T21:40:15.2554564Z [324/612] 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 2025-08-14T21:40:16.2471495Z [324/612] 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_lamb_split_unweighted_kernel_cta.hip.o 2025-08-14T21:40:16.4283834Z [327/612] 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 2025-08-14T21:40:17.3614709Z [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 2025-08-14T21:40:17.3616033Z [328/612] 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 2025-08-14T21:40:17.3649122Z [328/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_none_split_weighted_kernel_warp.hip.o 2025-08-14T21:40:17.3649823Z [329/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_sgd_split_weighted_kernel_warp.hip.o 2025-08-14T21:40:17.5386356Z [329/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_none_split_unweighted_nobag_hip.hip.o 2025-08-14T21:40:17.5387254Z [330/612] 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 2025-08-14T21:40:18.7734755Z [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 2025-08-14T21:40:18.7735650Z [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_kernel_cta.hip.o 2025-08-14T21:40:20.6040403Z [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 2025-08-14T21:40:20.6041140Z [332/612] 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 2025-08-14T21:40:20.6047556Z [332/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_none_split_unweighted_kernel_warp.hip.o 2025-08-14T21:40:20.6048371Z [333/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_rowwise_adagrad_split_unweighted_nobag_hip.hip.o 2025-08-14T21:40:20.6060191Z [333/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_rowwise_adagrad_with_counter_split_weighted_kernel_cta.hip.o 2025-08-14T21:40:20.6065817Z [334/612] 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 2025-08-14T21:40:21.3081346Z [334/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_rowwise_adagrad_with_counter_split_weighted_hip.hip.o 2025-08-14T21:40:21.3082100Z [335/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_sgd_split_unweighted_nobag_kernel_warp.hip.o 2025-08-14T21:40:21.7162212Z [335/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_rowwise_adagrad_with_counter_split_weighted_kernel_warp.hip.o 2025-08-14T21:40:21.7164053Z [336/612] 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 2025-08-14T21:40:22.1117029Z [336/612] 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_nobag_hip.hip.o 2025-08-14T21:40:22.1118399Z [337/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_unweighted_gwd_kernel.hip.o 2025-08-14T21:40:22.1131613Z [337/612] 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_nobag_kernel_cta.hip.o 2025-08-14T21:40:22.1132901Z [338/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_sgd_split_weighted_kernel_cta.hip.o 2025-08-14T21:40:22.3601370Z [338/612] 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_nobag_kernel_warp.hip.o 2025-08-14T21:40:22.3602093Z [339/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_sgd_split_weighted_hip.hip.o 2025-08-14T21:40:22.5104176Z [339/612] 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_cta.hip.o 2025-08-14T21:40:22.5105280Z [340/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_sgd_split_unweighted_nobag_hip.hip.o 2025-08-14T21:40:22.5199360Z [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 2025-08-14T21:40:22.5200054Z [341/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_sgd_split_unweighted_kernel_warp.hip.o 2025-08-14T21:40:23.0831478Z [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 2025-08-14T21:40:23.0833036Z [342/612] 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 2025-08-14T21:40:23.7615336Z [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 2025-08-14T21:40:23.7616108Z [343/612] 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 2025-08-14T21:40:23.7628721Z [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 2025-08-14T21:40:23.7629373Z [344/612] 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 2025-08-14T21:40:24.3475814Z [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 2025-08-14T21:40:24.3477018Z [345/612] 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 2025-08-14T21:40:24.3504404Z [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 2025-08-14T21:40:24.3510623Z [346/612] 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 2025-08-14T21:40:24.6342523Z [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 2025-08-14T21:40:24.6343237Z [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_cta.hip.o 2025-08-14T21:40:24.7792875Z [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 2025-08-14T21:40:24.7793882Z [348/612] 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 2025-08-14T21:40:24.7892346Z [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 2025-08-14T21:40:24.7893548Z [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 2025-08-14T21:40:24.7894449Z ################################################################################ 2025-08-14T21:40:24.7894675Z [CMAKE] Running post-build script ... 2025-08-14T21:40:24.7900152Z 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 2025-08-14T21:40:24.7900527Z Resetting RPATH to $ORIGIN ... 2025-08-14T21:40:24.7900706Z 0x000000000000000f (RPATH) Library rpath: [$ORIGIN] 2025-08-14T21:40:24.7900895Z ################################################################################ 2025-08-14T21:40:24.7900994Z 2025-08-14T21:40:24.8193104Z [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 2025-08-14T21:40:24.8193815Z [350/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_lars_sgd_split_weighted_kernel_warp.hip.o 2025-08-14T21:40:24.9888032Z [350/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_index_select.dir/fbgemm_gpu_tbe_index_select_generated_gen_batch_index_select_dim0_forward_kernel.hip.o 2025-08-14T21:40:24.9888710Z [351/612] 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 2025-08-14T21:40:25.1641249Z [351/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_index_select.dir/fbgemm_gpu_tbe_index_select_generated_gen_batch_index_select_dim0_forward_kernel_small.hip.o 2025-08-14T21:40:25.1647154Z [352/612] 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 2025-08-14T21:40:25.1764343Z [352/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_index_select.dir/fbgemm_gpu_tbe_index_select_generated_gen_batch_index_select_dim0_backward_codegen_hip.hip.o 2025-08-14T21:40:25.1765036Z [353/612] 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 2025-08-14T21:40:25.3154268Z [353/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_index_select.dir/fbgemm_gpu_tbe_index_select_generated_gen_batch_index_select_dim0_backward_kernel_cta.hip.o 2025-08-14T21:40:25.3154930Z [354/612] 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 2025-08-14T21:40:25.7411557Z [354/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_index_select.dir/fbgemm_gpu_tbe_index_select_generated_gen_batch_index_select_dim0_backward_kernel_warp.hip.o 2025-08-14T21:40:25.7412309Z [355/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_rowwise_adagrad_split_unweighted_kernel_cta.hip.o 2025-08-14T21:40:25.7420282Z [355/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_index_select.dir/fbgemm_gpu_tbe_index_select_generated_gen_embedding_backward_split_grad_index_select.hip.o 2025-08-14T21:40:26.2624909Z [356/612] 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 2025-08-14T21:40:26.2638685Z [357/612] 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 2025-08-14T21:40:26.2671343Z [358/612] 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 2025-08-14T21:40:26.2715711Z [359/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_sgd_split_unweighted_nobag_kernel_cta.hip.o 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CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_adam_split_unweighted_nobag_hip.hip.o 2025-08-14T21:40:27.4199677Z [365/612] 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 2025-08-14T21:40:27.4304365Z [366/612] 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 2025-08-14T21:40:27.4606594Z [367/612] 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 2025-08-14T21:40:27.6247273Z [368/612] Building HIPCC object 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file included from /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_to_padded_dense_backward.hip:10: 2025-08-14T21:41:24.7674673Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7683866Z 317 | __launch_bounds__(kMaxThreads) void jagged_dense_dense_elementwise_jagged_output_kernel_( 2025-08-14T21:41:24.7684210Z | ^ 2025-08-14T21:41:24.7685038Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7686547Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7688462Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7689982Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7691495Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7693026Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7694654Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7696173Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7697826Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7699430Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7700968Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7702620Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7704141Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7705806Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7707339Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7708986Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7710535Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7712066Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7713598Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7715125Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7716746Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7718466Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7720000Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7721012Z 24 warnings generated when compiling for gfx90a. 2025-08-14T21:41:24.7721475Z In file included from /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_to_padded_dense_backward.hip:10: 2025-08-14T21:41:24.7722558Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7723545Z 317 | __launch_bounds__(kMaxThreads) void jagged_dense_dense_elementwise_jagged_output_kernel_( 2025-08-14T21:41:24.7723884Z | ^ 2025-08-14T21:41:24.7724910Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7726431Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7728098Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7729637Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7735923Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7737523Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7739351Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7740885Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7742408Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7743892Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7745481Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7746969Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7748633Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7750091Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7751545Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7755764Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7757208Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7758748Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7760297Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7761761Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7763211Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7764717Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7766174Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:24.7767018Z 24 warnings generated when compiling for gfx942. 2025-08-14T21:41:25.2321142Z 2025-08-14T21:41:25.5433078Z [454/612] 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 2025-08-14T21:41:25.5434830Z [455/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/jagged_tensor_ops/fbgemm_gpu_py_generated_jagged_dense_elementwise_mul_forward.hip.o 2025-08-14T21:41:25.5435644Z In file included from /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_dense_elementwise_mul_forward.hip:10: 2025-08-14T21:41:25.5436756Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5437734Z 317 | __launch_bounds__(kMaxThreads) void jagged_dense_dense_elementwise_jagged_output_kernel_( 2025-08-14T21:41:25.5438231Z | ^ 2025-08-14T21:41:25.5439029Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5440512Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5442080Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5443641Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5445105Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5446611Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5448309Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5457422Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5459150Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5460929Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5462337Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5463848Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5465347Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5466837Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5468500Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5470194Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5471737Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5473220Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5474769Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5476395Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5478086Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5479796Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5481358Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5482262Z 24 warnings generated when compiling for gfx90a. 2025-08-14T21:41:25.5482731Z In file included from /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_dense_elementwise_mul_forward.hip:10: 2025-08-14T21:41:25.5483861Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5484869Z 317 | __launch_bounds__(kMaxThreads) void jagged_dense_dense_elementwise_jagged_output_kernel_( 2025-08-14T21:41:25.5485205Z | ^ 2025-08-14T21:41:25.5486090Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5487658Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5489502Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5491040Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5492583Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5494280Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5495965Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5497532Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5499332Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5500874Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5502426Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5504016Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5505564Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5507107Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5508914Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5510461Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5512027Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5513709Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5515251Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5516787Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5518732Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5520322Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5521888Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.5522796Z 24 warnings generated when compiling for gfx942. 2025-08-14T21:41:25.9708616Z 2025-08-14T21:41:25.9709621Z [456/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/jagged_tensor_ops/fbgemm_gpu_py_generated_dense_to_jagged_forward.hip.o 2025-08-14T21:41:25.9710081Z In file included from /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/dense_to_jagged_forward.hip:10: 2025-08-14T21:41:25.9710741Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9711888Z 317 | __launch_bounds__(kMaxThreads) void jagged_dense_dense_elementwise_jagged_output_kernel_( 2025-08-14T21:41:25.9712109Z | ^ 2025-08-14T21:41:25.9712639Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9713530Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9714422Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9715402Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9716290Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9722762Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9723960Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9724857Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9725745Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9726649Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9727565Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9728604Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9729535Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9730421Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9731311Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9732237Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9733131Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9734060Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9735040Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9735934Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9736828Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9737722Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9738847Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9739738Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9740664Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9741553Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9742445Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9743352Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9744242Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9745168Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9746059Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9746942Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9747836Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9749387Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9750767Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9752200Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9753633Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9754522Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9755418Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9755970Z 40 warnings generated when compiling for gfx90a. 2025-08-14T21:41:25.9756245Z In file included from /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/dense_to_jagged_forward.hip:10: 2025-08-14T21:41:25.9756882Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9760720Z 317 | __launch_bounds__(kMaxThreads) void jagged_dense_dense_elementwise_jagged_output_kernel_( 2025-08-14T21:41:25.9760941Z | ^ 2025-08-14T21:41:25.9761586Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9762480Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9763365Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9764250Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9765138Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9766025Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9766949Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9767832Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9770437Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9771383Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9772263Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9773145Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9774077Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9775048Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9775934Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9776825Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9777704Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9778709Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9779622Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9781848Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9782728Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9783643Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9784528Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9785410Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9786347Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9787225Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9788243Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9789130Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9790011Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9792092Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9793024Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9793911Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9794792Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9795696Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9796578Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9797460Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9798510Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9799389Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9800272Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:25.9801901Z 40 warnings generated when compiling for gfx942. 2025-08-14T21:41:25.9802005Z 2025-08-14T21:41:26.1088298Z [457/612] 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 2025-08-14T21:41:26.2767074Z [458/612] 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 2025-08-14T21:41:26.2768441Z [459/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/jagged_tensor_ops/fbgemm_gpu_py_generated_jagged_dense_elementwise_mul_backward.hip.o 2025-08-14T21:41:26.2769281Z In file included from /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_dense_elementwise_mul_backward.hip:11: 2025-08-14T21:41:26.2770884Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2772121Z 317 | __launch_bounds__(kMaxThreads) void jagged_dense_dense_elementwise_jagged_output_kernel_( 2025-08-14T21:41:26.2772441Z | ^ 2025-08-14T21:41:26.2773284Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2774970Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2776699Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2778382Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2780172Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2781712Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2783251Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2784795Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2786338Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2787986Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2789505Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2791183Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2792706Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2794233Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2795890Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2797477Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2799355Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2800939Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2802452Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2804011Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2805516Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2807015Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2808746Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2809631Z 24 warnings generated when compiling for gfx90a. 2025-08-14T21:41:26.2810090Z In file included from /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_dense_elementwise_mul_backward.hip:11: 2025-08-14T21:41:26.2811210Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2812189Z 317 | __launch_bounds__(kMaxThreads) void jagged_dense_dense_elementwise_jagged_output_kernel_( 2025-08-14T21:41:26.2820899Z | ^ 2025-08-14T21:41:26.2821946Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2823491Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2825000Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2826780Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2828445Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2829961Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2831478Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2832984Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2834466Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2836088Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2837574Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2839309Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2840918Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2842432Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2843948Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2845604Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2847105Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2848738Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2850282Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2851805Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2853353Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2855056Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2856581Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:26.2857479Z 24 warnings generated when compiling for gfx942. 2025-08-14T21:41:26.5896292Z 2025-08-14T21:41:26.5991873Z [460/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/metric_ops/fbgemm_gpu_py_generated_metric_ops.hip.o 2025-08-14T21:41:26.6577639Z [461/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/jagged_tensor_ops/fbgemm_gpu_py_generated_jagged_softmax_backward.hip.o 2025-08-14T21:41:26.8841009Z [462/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/permute_pooled_embedding_ops/fbgemm_gpu_py_generated_permute_pooled_embedding_ops_gpu.cpp.o 2025-08-14T21:41:27.0130478Z [463/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/jagged_tensor_ops/fbgemm_gpu_py_generated_jagged_softmax_forward.hip.o 2025-08-14T21:41:27.1506620Z [464/612] 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 2025-08-14T21:41:27.6575018Z [465/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/permute_pooled_embedding_ops/fbgemm_gpu_py_generated_permute_pooled_embedding_ops_split_cpu.cpp.o 2025-08-14T21:41:28.0228805Z [466/612] 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 2025-08-14T21:41:28.2865597Z [467/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/jagged_tensor_ops/fbgemm_gpu_py_generated_jagged_dense_bmm_forward.hip.o 2025-08-14T21:41:28.7470642Z [468/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/permute_pooled_embedding_ops/fbgemm_gpu_py_generated_permute_pooled_embedding_ops.hip.o 2025-08-14T21:41:28.8316020Z [469/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/jagged_tensor_ops/fbgemm_gpu_py_generated_jagged_unique_indices.hip.o 2025-08-14T21:41:28.9147816Z [470/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/permute_multi_embedding_ops/fbgemm_gpu_py_generated_permute_multi_embedding_ops_cpu_hip.cpp.o 2025-08-14T21:41:28.9834228Z [471/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/jagged_tensor_ops/fbgemm_gpu_py_generated_jagged_index_add_2d_forward.hip.o 2025-08-14T21:41:29.0027688Z [472/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/quantize_ops/fbgemm_gpu_py_generated_quantize_padded_fp8_rowwise.hip.o 2025-08-14T21:41:29.0069004Z [473/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/quantize_ops/fbgemm_gpu_py_generated_quantize_fp8_rowwise.hip.o 2025-08-14T21:41:29.0452005Z [474/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/jagged_tensor_ops/fbgemm_gpu_py_generated_jagged_jagged_bmm_forward.hip.o 2025-08-14T21:41:29.0917807Z [475/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/layout_transform_ops/fbgemm_gpu_py_generated_layout_transform_ops.hip.o 2025-08-14T21:41:29.2537058Z [476/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/permute_multi_embedding_ops/fbgemm_gpu_py_generated_permute_multi_embedding_ops.hip.o 2025-08-14T21:41:29.2913237Z [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 2025-08-14T21:41:29.4538843Z [478/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/quantize_ops/fbgemm_gpu_py_generated_quantize_fused_nbit_rowwise.hip.o 2025-08-14T21:41:29.7121439Z [479/612] 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 2025-08-14T21:41:29.7931013Z [480/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/quantize_ops/fbgemm_gpu_py_generated_quantize_fused_8bit_rowwise.hip.o 2025-08-14T21:41:29.7931650Z [481/612] 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 2025-08-14T21:41:29.7932267Z 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: 2025-08-14T21:41:29.7933019Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7934269Z 317 | __launch_bounds__(kMaxThreads) void jagged_dense_dense_elementwise_jagged_output_kernel_( 2025-08-14T21:41:29.7934670Z | ^ 2025-08-14T21:41:29.7935186Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7936278Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7937180Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7938278Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7939134Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7939986Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7946096Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7947051Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7948153Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7949020Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7949871Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7950751Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7951596Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7952491Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7953361Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7954208Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7955066Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7955979Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7956847Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7957736Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7958802Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7959675Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7960529Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7961521Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7962422Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7963346Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7964220Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7965130Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7965982Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7966876Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7967801Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7968799Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7969718Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7970611Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7971516Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7972390Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7973274Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7974249Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7975234Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7975790Z 40 warnings generated when compiling for gfx90a. 2025-08-14T21:41:29.7976099Z 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: 2025-08-14T21:41:29.7976789Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7977395Z 317 | __launch_bounds__(kMaxThreads) void jagged_dense_dense_elementwise_jagged_output_kernel_( 2025-08-14T21:41:29.7977608Z | ^ 2025-08-14T21:41:29.7978175Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7979026Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7979900Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7980756Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7981608Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7982492Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7983342Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7984189Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7985080Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7985936Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7986787Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7990383Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7991252Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7992100Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7992989Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7993842Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7994688Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7995559Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7996405Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7997293Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7998266Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.7999118Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.8001197Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.8002045Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.8002887Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.8003735Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.8004610Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.8005455Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.8006304Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.8007168Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.8008088Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.8008967Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.8010877Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.8011733Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.8012587Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.8013451Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.8014330Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.8015265Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.8016107Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:29.8016601Z 40 warnings generated when compiling for gfx942. 2025-08-14T21:41:30.1864701Z 2025-08-14T21:41:30.3962637Z [482/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/sparse_ops/fbgemm_gpu_py_generated_sparse_ops_cpu_hip.cpp.o 2025-08-14T21:41:30.5476366Z [483/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/quantize_ops/fbgemm_gpu_py_generated_quantize_bfloat16.hip.o 2025-08-14T21:41:30.5932183Z [484/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/tbe/eeg/fbgemm_gpu_py_generated_indices_estimator_ops.cpp.o 2025-08-14T21:41:30.6271517Z [485/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/sparse_ops/fbgemm_gpu_py_generated_sparse_ops_gpu.cpp.o 2025-08-14T21:41:30.6390573Z [486/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/tbe/eeg/fbgemm_gpu_py_generated_indices_estimator.cpp.o 2025-08-14T21:41:31.3959379Z [487/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/quantize_ops/fbgemm_gpu_py_generated_quantize_mx.hip.o 2025-08-14T21:41:31.4723635Z [488/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/quantize_ops/fbgemm_gpu_py_generated_quantize_msfp.hip.o 2025-08-14T21:41:31.7045268Z [489/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/tbe/eeg/fbgemm_gpu_py_generated_indices_generator_ops.cpp.o 2025-08-14T21:41:31.7914750Z [490/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_ssd_weighted_kernel.hip.o 2025-08-14T21:41:32.0076841Z [491/612] 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 2025-08-14T21:41:32.0875200Z [492/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/quantize_ops/fbgemm_gpu_py_generated_quantize_hfp8.hip.o 2025-08-14T21:41:32.5803331Z [493/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/tbe/eeg/fbgemm_gpu_py_generated_indices_generator.cpp.o 2025-08-14T21:41:32.5851868Z [494/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/sparse_ops/fbgemm_gpu_py_generated_sparse_async_batched_cumsum.hip.o 2025-08-14T21:41:33.6795728Z [495/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/tbe/eeg/fbgemm_gpu_py_generated_eeg_utils.cpp.o 2025-08-14T21:41:34.4123091Z [496/612] 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 2025-08-14T21:41:34.6899367Z [497/612] 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 2025-08-14T21:41:35.8948856Z [498/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/intraining_embedding_pruning_ops/fbgemm_gpu_py_generated_intraining_embedding_pruning_gpu_hip.cpp.o 2025-08-14T21:41:35.8949452Z [499/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/jagged_tensor_ops/fbgemm_gpu_py_generated_jagged_to_padded_dense_forward.hip.o 2025-08-14T21:41:35.8949869Z In file included from /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_to_padded_dense_forward.hip:10: 2025-08-14T21:41:35.8950552Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8951510Z 317 | __launch_bounds__(kMaxThreads) void jagged_dense_dense_elementwise_jagged_output_kernel_( 2025-08-14T21:41:35.8951705Z | ^ 2025-08-14T21:41:35.8952193Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8953042Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8953960Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8954806Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8955646Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8956619Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8957456Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8958473Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8959316Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8960151Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8961016Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8961888Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8962726Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8963563Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8964420Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8965253Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8966088Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8966966Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8967799Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8968810Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8969649Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8970482Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8971315Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8977783Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8978869Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8979717Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8980612Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8981443Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8982272Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8983162Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8983992Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8984825Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8985659Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8986499Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8987329Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8988313Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8989150Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8989990Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8990845Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8991681Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8992569Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8993404Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8994238Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8995074Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8995906Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8996741Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8997572Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8998174Z 48 warnings generated when compiling for gfx90a. 2025-08-14T21:41:35.8998432Z In file included from /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_to_padded_dense_forward.hip:10: 2025-08-14T21:41:35.8999037Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.8999583Z 317 | __launch_bounds__(kMaxThreads) void jagged_dense_dense_elementwise_jagged_output_kernel_( 2025-08-14T21:41:35.8999774Z | ^ 2025-08-14T21:41:35.9000258Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9001117Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9001948Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9004385Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9005227Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9006062Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9006899Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9007736Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9008694Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9009550Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9010382Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9011214Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9012052Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9014012Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9014930Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9015825Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9016660Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9017490Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9018430Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9019264Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9020093Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9020947Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9021776Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9023642Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9024515Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9025349Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9026178Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9027056Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9027963Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9028815Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9029658Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9030490Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9031318Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9032178Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9034035Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9034866Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9035743Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9036585Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9037425Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9038462Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9039294Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9040127Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9040964Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9041795Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9043642Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9044506Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9045337Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:35.9045828Z 48 warnings generated when compiling for gfx942. 2025-08-14T21:41:36.8400795Z 2025-08-14T21:41:37.2504468Z [500/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/sparse_ops/fbgemm_gpu_py_generated_sparse_bucketize_features.hip.o 2025-08-14T21:41:37.7287708Z [501/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/sparse_ops/fbgemm_gpu_py_generated_sparse_batched_unary_embeddings.hip.o 2025-08-14T21:41:38.3907618Z [502/612] Building HIPCC object 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CMakeFiles/fbgemm_gpu_py.dir/src/sparse_ops/fbgemm_gpu_py_generated_sparse_reorder_batched_ad.hip.o 2025-08-14T21:41:44.6225409Z [521/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/sparse_ops/fbgemm_gpu_py_generated_sparse_permute_2d.hip.o 2025-08-14T21:41:44.8850136Z [522/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/intraining_embedding_pruning_ops/fbgemm_gpu_py_generated_intraining_embedding_pruning.hip.o 2025-08-14T21:41:44.8850678Z [523/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/jagged_tensor_ops/fbgemm_gpu_py_generated_jagged_tensor_ops_cpu_hip.cpp.o 2025-08-14T21:41:45.4328948Z [523/612] Linking CXX shared library fbgemm_gpu_py.so 2025-08-14T21:41:45.4329724Z [524/612] Linking CXX shared library fbgemm_gpu_py.so 2025-08-14T21:41:45.4517236Z [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 2025-08-14T21:41:45.4519018Z [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 2025-08-14T21:41:45.4519524Z ################################################################################ 2025-08-14T21:41:45.4519670Z [CMAKE] Running post-build script ... 2025-08-14T21:41:45.4524287Z Target file: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_py.so 2025-08-14T21:41:45.4524561Z Resetting RPATH to $ORIGIN ... 2025-08-14T21:41:45.4524719Z 0x000000000000000f (RPATH) Library rpath: [$ORIGIN] 2025-08-14T21:41:45.4525038Z ################################################################################ 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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 2025-08-14T21:41:51.1771822Z [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 2025-08-14T21:41:51.1773178Z [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 2025-08-14T21:41:51.1774864Z [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 2025-08-14T21:41:51.1777241Z [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 2025-08-14T21:41:51.1779656Z [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 2025-08-14T21:41:51.1781520Z [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 2025-08-14T21:41:51.1789535Z [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 2025-08-14T21:41:51.1790204Z [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 2025-08-14T21:41:51.1790793Z [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 2025-08-14T21:41:51.1791401Z [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 2025-08-14T21:41:51.1791997Z [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 2025-08-14T21:41:51.1794209Z [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 2025-08-14T21:41:51.1795321Z [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 2025-08-14T21:41:51.1796879Z [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 2025-08-14T21:41:51.1799306Z [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 2025-08-14T21:41:51.1801715Z [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 2025-08-14T21:41:51.1803552Z [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 2025-08-14T21:41:51.1806068Z [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 2025-08-14T21:41:51.1808266Z [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 2025-08-14T21:41:51.1810593Z [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 2025-08-14T21:41:51.1812240Z [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 2025-08-14T21:41:51.1814373Z [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 2025-08-14T21:41:51.1816790Z [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 2025-08-14T21:41:51.1818648Z [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 2025-08-14T21:41:51.1821267Z [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 2025-08-14T21:41:51.1822900Z [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 2025-08-14T21:41:51.1826374Z [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 2025-08-14T21:41:51.1828786Z [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 2025-08-14T21:41:51.1831925Z [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 2025-08-14T21:41:51.1833478Z [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 2025-08-14T21:41:51.5098132Z [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 2025-08-14T21:41:51.5104541Z [528/612] 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_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_sgd_split_unweighted_vbe_meta_hip.cpp.o 2025-08-14T21:42:13.8067281Z [534/612] 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 2025-08-14T21:42:14.2686375Z [535/612] 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 2025-08-14T21:42:14.7351264Z [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_with_counter_split_weighted_vbe_meta_hip.cpp.o 2025-08-14T21:42:15.1054826Z [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_ssd_weighted_vbe_meta_hip.cpp.o 2025-08-14T21:42:15.2784736Z [538/612] 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 2025-08-14T21:42:15.4192057Z [539/612] 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 2025-08-14T21:42:15.5658763Z [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_unweighted_vbe_meta_hip.cpp.o 2025-08-14T21:42:15.5660140Z [541/612] 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 2025-08-14T21:42:15.6225577Z [541/612] Linking CXX shared library fbgemm_gpu_tbe_training_forward.so 2025-08-14T21:42:16.5160999Z [542/612] 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 2025-08-14T21:42:16.5161877Z [543/612] Linking CXX shared library fbgemm_gpu_tbe_training_forward.so 2025-08-14T21:42:16.6516273Z [543/612] 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 2025-08-14T21:42:16.6520073Z [544/612] 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 2025-08-14T21:42:16.6521499Z ################################################################################ 2025-08-14T21:42:16.6521907Z [CMAKE] Running post-build script ... 2025-08-14T21:42:16.6522608Z Target file: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_tbe_training_forward.so 2025-08-14T21:42:16.6523177Z Resetting RPATH to $ORIGIN ... 2025-08-14T21:42:16.6523392Z 0x000000000000000f (RPATH) Library rpath: [$ORIGIN] 2025-08-14T21:42:16.6523709Z ################################################################################ 2025-08-14T21:42:17.3938187Z 2025-08-14T21:42:17.4554893Z [545/612] Building HIPCC object 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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 2025-08-14T21:42:26.4011810Z [558/612] 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 2025-08-14T21:42:26.7232095Z [559/612] 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 2025-08-14T21:42:26.9871973Z [560/612] 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 2025-08-14T21:42:27.2438169Z [561/612] Building HIPCC object 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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 2025-08-14T21:42:38.4809007Z [606/612] 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 2025-08-14T21:42:38.9216870Z [606/612] Linking CXX shared library fbgemm_gpu_tbe_training_backward_gwd.so 2025-08-14T21:42:38.9217199Z [607/612] Linking CXX shared library fbgemm_gpu_tbe_training_backward_gwd.so 2025-08-14T21:42:38.9454117Z [607/612] 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_gwd.so 1 2025-08-14T21:42:38.9455302Z [608/612] 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_gwd.so 1 2025-08-14T21:42:38.9456114Z ################################################################################ 2025-08-14T21:42:38.9456253Z [CMAKE] Running post-build script ... 2025-08-14T21:42:38.9456512Z Target file: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_tbe_training_backward_gwd.so 2025-08-14T21:42:38.9456771Z Resetting RPATH to $ORIGIN ... 2025-08-14T21:42:38.9462903Z 0x000000000000000f (RPATH) Library rpath: [$ORIGIN] 2025-08-14T21:42:38.9463134Z ################################################################################ 2025-08-14T21:42:41.6202003Z 2025-08-14T21:42:41.6203550Z [609/612] 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 2025-08-14T21:42:42.1660556Z [609/612] Linking CXX shared library fbgemm_gpu_tbe_training_backward_vbe.so 2025-08-14T21:42:42.1660863Z [610/612] Linking CXX shared library fbgemm_gpu_tbe_training_backward_vbe.so 2025-08-14T21:42:42.2168225Z [610/612] 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_vbe.so 1 2025-08-14T21:42:42.2171004Z [611/612] 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_vbe.so 1 2025-08-14T21:42:42.2172432Z ################################################################################ 2025-08-14T21:42:42.2178348Z [CMAKE] Running post-build script ... 2025-08-14T21:42:42.2178659Z Target file: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_tbe_training_backward_vbe.so 2025-08-14T21:42:42.2178946Z Resetting RPATH to $ORIGIN ... 2025-08-14T21:42:42.2179110Z 0x000000000000000f (RPATH) Library rpath: [$ORIGIN] 2025-08-14T21:42:42.2179288Z ################################################################################ 2025-08-14T21:42:42.2179389Z 2025-08-14T21:42:42.2179471Z [611/612] Install the project... 2025-08-14T21:42:42.2209067Z -- Install configuration: "Release" 2025-08-14T21:42:42.2210245Z -- Installing: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/asmjit.so 2025-08-14T21:42:42.2216017Z -- Installing: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/fbgemm.so 2025-08-14T21:42:42.2243046Z -- Installing: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/fbgemm_gpu_tbe_cache.so 2025-08-14T21:42:42.2265919Z -- Installing: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/fbgemm_gpu_tbe_inference.so 2025-08-14T21:42:42.2695394Z -- Installing: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/fbgemm_gpu_config.so 2025-08-14T21:42:42.2696526Z -- Installing: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/fbgemm_gpu_tbe_utils.so 2025-08-14T21:42:42.2709036Z -- Installing: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/fbgemm_gpu_sparse_async_cumsum.so 2025-08-14T21:42:42.2711015Z -- Installing: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/fbgemm_gpu_tbe_common.so 2025-08-14T21:42:42.2717505Z -- Installing: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/fbgemm_gpu_tbe_optimizers.so 2025-08-14T21:42:42.2721374Z -- Installing: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/fbgemm_gpu_tbe_training_forward.so 2025-08-14T21:42:42.3386288Z -- Installing: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/fbgemm_gpu_tbe_training_backward_pt2.so 2025-08-14T21:42:42.3436231Z -- Installing: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/fbgemm_gpu_tbe_training_backward.so 2025-08-14T21:42:42.4597413Z -- Installing: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/fbgemm_gpu_tbe_training_backward_gwd.so 2025-08-14T21:42:42.4707625Z -- Installing: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/fbgemm_gpu_tbe_training_backward_vbe.so 2025-08-14T21:42:42.4937591Z -- Installing: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/fbgemm_gpu_tbe_training_backward_dense.so 2025-08-14T21:42:42.4972453Z -- Installing: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/fbgemm_gpu_tbe_training_backward_split_host.so 2025-08-14T21:42:42.4998279Z -- Installing: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/fbgemm_gpu_tbe_index_select.so 2025-08-14T21:42:42.5026080Z -- Installing: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_embedding_codegen_lookup_invokers/lookup_adagrad.py 2025-08-14T21:42:42.5026723Z -- Installing: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_embedding_codegen_lookup_invokers/lookup_rowwise_adagrad.py 2025-08-14T21:42:42.5027345Z -- Installing: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_embedding_codegen_lookup_invokers/lookup_sgd.py 2025-08-14T21:42:42.5028060Z -- Installing: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_embedding_codegen_lookup_invokers/lookup_adam.py 2025-08-14T21:42:42.5028651Z -- Installing: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_embedding_codegen_lookup_invokers/lookup_lamb.py 2025-08-14T21:42:42.5029254Z -- Installing: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_embedding_codegen_lookup_invokers/lookup_lars_sgd.py 2025-08-14T21:42:42.5029876Z -- Installing: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_embedding_codegen_lookup_invokers/lookup_partial_rowwise_adam.py 2025-08-14T21:42:42.5030666Z -- Installing: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_embedding_codegen_lookup_invokers/lookup_partial_rowwise_lamb.py 2025-08-14T21:42:42.5031308Z -- Installing: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_embedding_codegen_lookup_invokers/lookup_none.py 2025-08-14T21:42:42.5031932Z -- Installing: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_embedding_codegen_lookup_invokers/lookup_rowwise_adagrad_with_counter.py 2025-08-14T21:42:42.5032559Z -- Installing: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_embedding_codegen_lookup_invokers/lookup_rowwise_adagrad_ssd.py 2025-08-14T21:42:42.5033138Z -- Installing: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_embedding_codegen_lookup_invokers/__init__.py 2025-08-14T21:42:42.5033710Z -- Installing: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_embedding_codegen_lookup_invokers/lookup_args.py 2025-08-14T21:42:42.5034340Z -- Installing: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_embedding_codegen_lookup_invokers/lookup_args_ssd.py 2025-08-14T21:42:42.5034949Z -- Installing: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_embedding_optimizer_codegen/split_embedding_optimizer_rowwise_adagrad.py 2025-08-14T21:42:42.5037683Z -- Installing: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_embedding_optimizer_codegen/optimizer_args.py 2025-08-14T21:42:42.5038357Z -- Installing: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/fbgemm_gpu_embedding_inplace_ops.so 2025-08-14T21:42:42.5038844Z -- Installing: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/fbgemm_gpu_py.so 2025-08-14T21:42:42.5204471Z 2025-08-14T21:42:42.5204956Z 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 2025-08-14T21:42:42.5205378Z copying fbgemm_gpu/quantize_comm.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/quantize_comm.py 2025-08-14T21:42:42.5205755Z 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 2025-08-14T21:42:42.5207326Z copying fbgemm_gpu/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/__init__.py 2025-08-14T21:42:42.5207702Z 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 2025-08-14T21:42:42.5208240Z copying fbgemm_gpu/split_embedding_inference_converter.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_embedding_inference_converter.py 2025-08-14T21:42:42.5208581Z copying fbgemm_gpu/uvm.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/uvm.py 2025-08-14T21:42:42.5208869Z copying fbgemm_gpu/split_embedding_utils.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_embedding_utils.py 2025-08-14T21:42:42.5210991Z 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 2025-08-14T21:42:42.5211417Z 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 2025-08-14T21:42:42.5211834Z copying fbgemm_gpu/split_embedding_optimizer_ops.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_embedding_optimizer_ops.py 2025-08-14T21:42:42.5212174Z copying fbgemm_gpu/runtime_monitor.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/runtime_monitor.py 2025-08-14T21:42:42.5212501Z copying fbgemm_gpu/enums.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/enums.py 2025-08-14T21:42:42.5212842Z 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 2025-08-14T21:42:42.5213252Z copying fbgemm_gpu/permute_pooled_embedding_modules.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/permute_pooled_embedding_modules.py 2025-08-14T21:42:42.5213633Z copying fbgemm_gpu/batched_unary_embeddings_ops.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/batched_unary_embeddings_ops.py 2025-08-14T21:42:42.5213991Z copying fbgemm_gpu/split_embedding_configs.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_embedding_configs.py 2025-08-14T21:42:42.5214391Z copying fbgemm_gpu/metrics.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/metrics.py 2025-08-14T21:42:42.5214660Z copying fbgemm_gpu/sparse_ops.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sparse_ops.py 2025-08-14T21:42:42.5215058Z 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 2025-08-14T21:42:42.5215467Z copying fbgemm_gpu/tbe_input_multiplexer.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe_input_multiplexer.py 2025-08-14T21:42:42.5217230Z copying fbgemm_gpu/quantize_utils.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/quantize_utils.py 2025-08-14T21:42:42.5217486Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe 2025-08-14T21:42:42.5217731Z copying fbgemm_gpu/tbe/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/__init__.py 2025-08-14T21:42:42.5218090Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/config 2025-08-14T21:42:42.5218362Z copying fbgemm_gpu/config/feature_list.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/config/feature_list.py 2025-08-14T21:42:42.5218671Z copying fbgemm_gpu/config/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/config/__init__.py 2025-08-14T21:42:42.5218987Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/triton 2025-08-14T21:42:42.5219238Z copying fbgemm_gpu/triton/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/triton/__init__.py 2025-08-14T21:42:42.5219528Z copying fbgemm_gpu/triton/quantize.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/triton/quantize.py 2025-08-14T21:42:42.5219852Z copying fbgemm_gpu/triton/quantize_ref.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/triton/quantize_ref.py 2025-08-14T21:42:42.5221546Z copying fbgemm_gpu/triton/common.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/triton/common.py 2025-08-14T21:42:42.5221804Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/utils 2025-08-14T21:42:42.5222075Z copying fbgemm_gpu/utils/torch_library.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/utils/torch_library.py 2025-08-14T21:42:42.5222386Z copying fbgemm_gpu/utils/loader.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/utils/loader.py 2025-08-14T21:42:42.5222674Z copying fbgemm_gpu/utils/filestore.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/utils/filestore.py 2025-08-14T21:42:42.5222964Z copying fbgemm_gpu/utils/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/utils/__init__.py 2025-08-14T21:42:42.5223217Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/quantize 2025-08-14T21:42:42.5223478Z copying fbgemm_gpu/quantize/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/quantize/__init__.py 2025-08-14T21:42:42.5223796Z copying fbgemm_gpu/quantize/quantize_ops.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/quantize/quantize_ops.py 2025-08-14T21:42:42.5224069Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/docs 2025-08-14T21:42:42.5225658Z 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 2025-08-14T21:42:42.5226086Z 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 2025-08-14T21:42:42.5226420Z copying fbgemm_gpu/docs/examples.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/docs/examples.py 2025-08-14T21:42:42.5226700Z copying fbgemm_gpu/docs/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/docs/__init__.py 2025-08-14T21:42:42.5226991Z copying fbgemm_gpu/docs/quantize_ops.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/docs/quantize_ops.py 2025-08-14T21:42:42.5227284Z copying fbgemm_gpu/docs/version.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/docs/version.py 2025-08-14T21:42:42.5227560Z copying fbgemm_gpu/docs/common.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/docs/common.py 2025-08-14T21:42:42.5227845Z copying fbgemm_gpu/docs/sparse_ops.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/docs/sparse_ops.py 2025-08-14T21:42:42.5228291Z copying fbgemm_gpu/docs/jagged_tensor_ops.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/docs/jagged_tensor_ops.py 2025-08-14T21:42:42.5228562Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll 2025-08-14T21:42:42.5228799Z copying fbgemm_gpu/sll/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/__init__.py 2025-08-14T21:42:42.5229049Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/bench 2025-08-14T21:42:42.5229335Z 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 2025-08-14T21:42:42.5229700Z 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 2025-08-14T21:42:42.5230052Z copying fbgemm_gpu/tbe/bench/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/bench/__init__.py 2025-08-14T21:42:42.5231728Z 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 2025-08-14T21:42:42.5232104Z copying fbgemm_gpu/tbe/bench/reporter.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/bench/reporter.py 2025-08-14T21:42:42.5232434Z copying fbgemm_gpu/tbe/bench/bench_config.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/bench/bench_config.py 2025-08-14T21:42:42.5232748Z copying fbgemm_gpu/tbe/bench/utils.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/bench/utils.py 2025-08-14T21:42:42.5233048Z copying fbgemm_gpu/tbe/bench/eeg_cli.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/bench/eeg_cli.py 2025-08-14T21:42:42.5233411Z 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 2025-08-14T21:42:42.5233815Z copying fbgemm_gpu/tbe/bench/eval_compression.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/bench/eval_compression.py 2025-08-14T21:42:42.5234163Z copying fbgemm_gpu/tbe/bench/bench_runs.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/bench/bench_runs.py 2025-08-14T21:42:42.5234433Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/ssd 2025-08-14T21:42:42.5234695Z copying fbgemm_gpu/tbe/ssd/training.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/ssd/training.py 2025-08-14T21:42:42.5236222Z copying fbgemm_gpu/tbe/ssd/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/ssd/__init__.py 2025-08-14T21:42:42.5236545Z copying fbgemm_gpu/tbe/ssd/inference.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/ssd/inference.py 2025-08-14T21:42:42.5236845Z copying fbgemm_gpu/tbe/ssd/common.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/ssd/common.py 2025-08-14T21:42:42.5237144Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/stats 2025-08-14T21:42:42.5237418Z copying fbgemm_gpu/tbe/stats/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/stats/__init__.py 2025-08-14T21:42:42.5237765Z 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 2025-08-14T21:42:42.5238182Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/utils 2025-08-14T21:42:42.5238448Z copying fbgemm_gpu/tbe/utils/offsets.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/utils/offsets.py 2025-08-14T21:42:42.5238755Z copying fbgemm_gpu/tbe/utils/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/utils/__init__.py 2025-08-14T21:42:42.5239064Z copying fbgemm_gpu/tbe/utils/quantize.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/utils/quantize.py 2025-08-14T21:42:42.5239381Z copying fbgemm_gpu/tbe/utils/requests.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/utils/requests.py 2025-08-14T21:42:42.5241155Z copying fbgemm_gpu/tbe/utils/common.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/utils/common.py 2025-08-14T21:42:42.5241422Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/cache 2025-08-14T21:42:42.5241685Z copying fbgemm_gpu/tbe/cache/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/cache/__init__.py 2025-08-14T21:42:42.5242045Z 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 2025-08-14T21:42:42.5242459Z 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 2025-08-14T21:42:42.5242778Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/ssd/utils 2025-08-14T21:42:42.5243064Z copying fbgemm_gpu/tbe/ssd/utils/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/ssd/utils/__init__.py 2025-08-14T21:42:42.5243543Z 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 2025-08-14T21:42:42.5243890Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/triton/jagged 2025-08-14T21:42:42.5244172Z copying fbgemm_gpu/triton/jagged/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/triton/jagged/__init__.py 2025-08-14T21:42:42.5244553Z 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 2025-08-14T21:42:42.5244877Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/meta 2025-08-14T21:42:42.5245138Z copying fbgemm_gpu/sll/meta/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/meta/__init__.py 2025-08-14T21:42:42.5245443Z copying fbgemm_gpu/sll/meta/meta_sll.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/meta/meta_sll.py 2025-08-14T21:42:42.5246892Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/cpu 2025-08-14T21:42:42.5247163Z copying fbgemm_gpu/sll/cpu/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/cpu/__init__.py 2025-08-14T21:42:42.5247455Z copying fbgemm_gpu/sll/cpu/cpu_sll.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/cpu/cpu_sll.py 2025-08-14T21:42:42.5247715Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/triton 2025-08-14T21:42:42.5248170Z 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 2025-08-14T21:42:42.5248656Z 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 2025-08-14T21:42:42.5249159Z 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 2025-08-14T21:42:42.5249532Z copying fbgemm_gpu/sll/triton/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/triton/__init__.py 2025-08-14T21:42:42.5249874Z 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 2025-08-14T21:42:42.5250311Z 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 2025-08-14T21:42:42.5250785Z 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 2025-08-14T21:42:42.5252262Z 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 2025-08-14T21:42:42.5252802Z 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 2025-08-14T21:42:42.5253262Z 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 2025-08-14T21:42:42.5253648Z copying fbgemm_gpu/sll/triton/common.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/triton/common.py 2025-08-14T21:42:42.5253997Z 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 2025-08-14T21:42:42.5254496Z 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 2025-08-14T21:42:42.5254759Z 2025-08-14T21:42:42.5414734Z INFO:root:running bdist_wheel 2025-08-14T21:42:42.5458048Z INFO:root:running build 2025-08-14T21:42:42.5458242Z INFO:root:running build_py 2025-08-14T21:42:42.5461696Z INFO:root:creating _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu 2025-08-14T21:42:42.5463498Z 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 2025-08-14T21:42:42.5464025Z 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 2025-08-14T21:42:42.5464511Z 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 2025-08-14T21:42:42.5464990Z 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 2025-08-14T21:42:42.5465471Z 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 2025-08-14T21:42:42.5465982Z 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 2025-08-14T21:42:42.5466445Z 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 2025-08-14T21:42:42.5466877Z 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 2025-08-14T21:42:42.5467415Z 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 2025-08-14T21:42:42.5468066Z 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 2025-08-14T21:42:42.5469839Z 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 2025-08-14T21:42:42.5470332Z 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 2025-08-14T21:42:42.5470771Z 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 2025-08-14T21:42:42.5471241Z 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 2025-08-14T21:42:42.5471785Z 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 2025-08-14T21:42:42.5472269Z 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 2025-08-14T21:42:42.5472749Z 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 2025-08-14T21:42:42.5473189Z 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 2025-08-14T21:42:42.5473662Z 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 2025-08-14T21:42:42.5474150Z 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 2025-08-14T21:42:42.5474645Z 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 2025-08-14T21:42:42.5476268Z 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 2025-08-14T21:42:42.5476634Z INFO:root:creating _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/tbe 2025-08-14T21:42:42.5477001Z 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 2025-08-14T21:42:42.5477366Z INFO:root:creating _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/config 2025-08-14T21:42:42.5477755Z 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 2025-08-14T21:42:42.5478319Z 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 2025-08-14T21:42:42.5478711Z INFO:root:creating _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/triton 2025-08-14T21:42:42.5479384Z 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 2025-08-14T21:42:42.5480033Z 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 2025-08-14T21:42:42.5480620Z 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 2025-08-14T21:42:42.5481115Z 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 2025-08-14T21:42:42.5482532Z INFO:root:creating _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/utils 2025-08-14T21:42:42.5482925Z 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 2025-08-14T21:42:42.5483404Z 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 2025-08-14T21:42:42.5483909Z 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 2025-08-14T21:42:42.5484377Z 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 2025-08-14T21:42:42.5486133Z INFO:root:creating _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/quantize 2025-08-14T21:42:42.5486522Z 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 2025-08-14T21:42:42.5487011Z INFO:root:copying 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_skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/sll/triton 2025-08-14T21:42:42.5536292Z 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 2025-08-14T21:42:42.5536833Z 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 2025-08-14T21:42:42.5551215Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/asmjit.so -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu 2025-08-14T21:42:42.5554849Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/fbgemm.so -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu 2025-08-14T21:42:42.5575924Z INFO:root:copying 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_skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu 2025-08-14T21:42:42.7511486Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/fbgemm_gpu_tbe_training_backward_gwd.so -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu 2025-08-14T21:42:42.7591503Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/fbgemm_gpu_tbe_training_backward_vbe.so -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu 2025-08-14T21:42:42.7783876Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/fbgemm_gpu_tbe_training_backward_dense.so -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu 2025-08-14T21:42:42.7812504Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/fbgemm_gpu_tbe_training_backward_split_host.so -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu 2025-08-14T21:42:42.7833083Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/fbgemm_gpu_tbe_index_select.so -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu 2025-08-14T21:42:42.7850414Z INFO:root:creating _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/split_embedding_codegen_lookup_invokers 2025-08-14T21:42:42.7851132Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_embedding_codegen_lookup_invokers/lookup_adagrad.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/split_embedding_codegen_lookup_invokers 2025-08-14T21:42:42.7852018Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_embedding_codegen_lookup_invokers/lookup_rowwise_adagrad.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/split_embedding_codegen_lookup_invokers 2025-08-14T21:42:42.7852865Z INFO:root:copying 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_skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/split_embedding_codegen_lookup_invokers 2025-08-14T21:42:42.7856017Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_embedding_codegen_lookup_invokers/lookup_partial_rowwise_adam.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/split_embedding_codegen_lookup_invokers 2025-08-14T21:42:42.7856834Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_embedding_codegen_lookup_invokers/lookup_partial_rowwise_lamb.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/split_embedding_codegen_lookup_invokers 2025-08-14T21:42:42.7857578Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_embedding_codegen_lookup_invokers/lookup_none.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/split_embedding_codegen_lookup_invokers 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_skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_embedding_codegen_lookup_invokers/lookup_args.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/split_embedding_codegen_lookup_invokers 2025-08-14T21:42:42.7861596Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_embedding_codegen_lookup_invokers/lookup_args_ssd.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/split_embedding_codegen_lookup_invokers 2025-08-14T21:42:42.7862174Z INFO:root:creating _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/split_embedding_optimizer_codegen 2025-08-14T21:42:42.7862735Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_embedding_optimizer_codegen/split_embedding_optimizer_rowwise_adagrad.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/split_embedding_optimizer_codegen 2025-08-14T21:42:42.7863431Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_embedding_optimizer_codegen/optimizer_args.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/split_embedding_optimizer_codegen 2025-08-14T21:42:42.7864054Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/fbgemm_gpu_embedding_inplace_ops.so -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu 2025-08-14T21:42:42.7864589Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/fbgemm_gpu_py.so -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu 2025-08-14T21:42:42.7946078Z 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 2025-08-14T21:42:42.7946611Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/quantize_comm.py 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2025-08-14T21:42:42.7953175Z 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 2025-08-14T21:42:42.7953656Z 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 2025-08-14T21:42:42.7954183Z 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 2025-08-14T21:42:42.7954754Z 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 2025-08-14T21:42:42.7956277Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/batched_unary_embeddings_ops.py -> 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_skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/sll/triton 2025-08-14T21:42:42.8018884Z INFO:skbuild:copied 91 files 2025-08-14T21:42:42.8019010Z INFO:root:running build_ext 2025-08-14T21:42:42.8022838Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-08-14T21:42:42.8023121Z !! 2025-08-14T21:42:42.8023170Z 2025-08-14T21:42:42.8023223Z ******************************************************************************** 2025-08-14T21:42:42.8024740Z Please avoid running ``setup.py`` directly. 2025-08-14T21:42:42.8025042Z Instead, use pypa/build, pypa/installer or other 2025-08-14T21:42:42.8025177Z standards-based tools. 2025-08-14T21:42:42.8025248Z 2025-08-14T21:42:42.8025337Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-08-14T21:42:42.8025509Z or your builds will no longer be supported. 2025-08-14T21:42:42.8025595Z 2025-08-14T21:42:42.8025717Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-08-14T21:42:42.8025903Z ******************************************************************************** 2025-08-14T21:42:42.8025989Z 2025-08-14T21:42:42.8026021Z !! 2025-08-14T21:42:42.8026107Z self.initialize_options() 2025-08-14T21:42:42.8026270Z INFO:root:installing to _skbuild/linux-x86_64-3.10/setuptools/bdist.linux-x86_64/wheel 2025-08-14T21:42:42.8026443Z INFO:root:running install 2025-08-14T21:42:42.8046122Z INFO:root:running install_lib 2025-08-14T21:42:42.8048130Z INFO:root:creating _skbuild/linux-x86_64-3.10/setuptools/bdist.linux-x86_64/wheel 2025-08-14T21:42:42.8048405Z INFO:root:creating _skbuild/linux-x86_64-3.10/setuptools/bdist.linux-x86_64/wheel/fbgemm_gpu 2025-08-14T21:42:42.8048865Z INFO:root:copying _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/fbgemm_gpu_tbe_index_select.so -> 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'fbgemm_gpu/tbe/bench/embedding_ops_common_config.py' 2025-08-14T21:42:52.2982318Z INFO:wheel:adding 'fbgemm_gpu/tbe/bench/eval_compression.py' 2025-08-14T21:42:52.2982581Z INFO:wheel:adding 'fbgemm_gpu/tbe/bench/reporter.py' 2025-08-14T21:42:52.2982841Z INFO:wheel:adding 'fbgemm_gpu/tbe/bench/tbe_data_config.py' 2025-08-14T21:42:52.2988410Z INFO:wheel:adding 'fbgemm_gpu/tbe/bench/tbe_data_config_loader.py' 2025-08-14T21:42:52.2988771Z INFO:wheel:adding 'fbgemm_gpu/tbe/bench/tbe_data_config_param_models.py' 2025-08-14T21:42:52.2989453Z INFO:wheel:adding 'fbgemm_gpu/tbe/bench/utils.py' 2025-08-14T21:42:52.2989723Z INFO:wheel:adding 'fbgemm_gpu/tbe/cache/__init__.py' 2025-08-14T21:42:52.2990005Z INFO:wheel:adding 'fbgemm_gpu/tbe/cache/kv_embedding_ops_inference.py' 2025-08-14T21:42:52.2990291Z INFO:wheel:adding 'fbgemm_gpu/tbe/cache/split_embeddings_cache_ops.py' 2025-08-14T21:42:52.2990538Z INFO:wheel:adding 'fbgemm_gpu/tbe/ssd/__init__.py' 2025-08-14T21:42:52.2990744Z INFO:wheel:adding 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INFO:wheel:adding 'fbgemm_gpu/triton/__init__.py' 2025-08-14T21:42:52.2998796Z INFO:wheel:adding 'fbgemm_gpu/triton/common.py' 2025-08-14T21:42:52.3002951Z INFO:wheel:adding 'fbgemm_gpu/triton/quantize.py' 2025-08-14T21:42:52.3004886Z INFO:wheel:adding 'fbgemm_gpu/triton/quantize_ref.py' 2025-08-14T21:42:52.3005433Z INFO:wheel:adding 'fbgemm_gpu/triton/jagged/__init__.py' 2025-08-14T21:42:52.3010237Z INFO:wheel:adding 'fbgemm_gpu/triton/jagged/triton_jagged_tensor_ops.py' 2025-08-14T21:42:52.3010857Z INFO:wheel:adding 'fbgemm_gpu/utils/__init__.py' 2025-08-14T21:42:52.3012094Z INFO:wheel:adding 'fbgemm_gpu/utils/filestore.py' 2025-08-14T21:42:52.3012590Z INFO:wheel:adding 'fbgemm_gpu/utils/loader.py' 2025-08-14T21:42:52.3013798Z INFO:wheel:adding 'fbgemm_gpu/utils/torch_library.py' 2025-08-14T21:42:52.3015286Z INFO:wheel:adding 'fbgemm_gpu_nightly_rocm-2025.8.14.dist-info/METADATA' 2025-08-14T21:42:52.3015883Z INFO:wheel:adding 'fbgemm_gpu_nightly_rocm-2025.8.14.dist-info/WHEEL' 2025-08-14T21:42:52.3016227Z INFO:wheel:adding 'fbgemm_gpu_nightly_rocm-2025.8.14.dist-info/top_level.txt' 2025-08-14T21:42:52.3019319Z INFO:wheel:adding 'fbgemm_gpu_nightly_rocm-2025.8.14.dist-info/RECORD' 2025-08-14T21:42:52.3023471Z INFO:root:removing _skbuild/linux-x86_64-3.10/setuptools/bdist.linux-x86_64/wheel 2025-08-14T21:42:52.6668227Z + popd 2025-08-14T21:42:52.6669133Z ~/pytorch 2025-08-14T21:42:52.6669326Z + mkdir -p dist/fbgemm_gpu 2025-08-14T21:42:52.6750179Z + cp fbgemm/fbgemm_gpu/dist/fbgemm_gpu_nightly_rocm-2025.8.14-cp310-cp310-linux_x86_64.whl dist/fbgemm_gpu 2025-08-14T21:42:52.7171394Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:42:52.7171712Z + pip_install_whl dist/fbgemm_gpu/fbgemm_gpu_nightly_rocm-2025.8.14-cp310-cp310-linux_x86_64.whl 2025-08-14T21:42:52.7177650Z + args=('dist/fbgemm_gpu/fbgemm_gpu_nightly_rocm-2025.8.14-cp310-cp310-linux_x86_64.whl') 2025-08-14T21:42:52.7178029Z + local args 2025-08-14T21:42:52.7178270Z + [[ dist/fbgemm_gpu/fbgemm_gpu_nightly_rocm-2025.8.14-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-08-14T21:42:52.7178569Z + for path in "${args[@]}" 2025-08-14T21:42:52.7178849Z + echo 'Installing dist/fbgemm_gpu/fbgemm_gpu_nightly_rocm-2025.8.14-cp310-cp310-linux_x86_64.whl' 2025-08-14T21:42:52.7179238Z Installing dist/fbgemm_gpu/fbgemm_gpu_nightly_rocm-2025.8.14-cp310-cp310-linux_x86_64.whl 2025-08-14T21:42:52.7179667Z + python3 -mpip install --no-index --no-deps dist/fbgemm_gpu/fbgemm_gpu_nightly_rocm-2025.8.14-cp310-cp310-linux_x86_64.whl 2025-08-14T21:42:52.8881252Z Processing ./dist/fbgemm_gpu/fbgemm_gpu_nightly_rocm-2025.8.14-cp310-cp310-linux_x86_64.whl 2025-08-14T21:42:52.9444704Z Installing collected packages: fbgemm-gpu-nightly-rocm 2025-08-14T21:42:54.0633324Z Successfully installed fbgemm-gpu-nightly-rocm-2025.8.14 2025-08-14T21:42:54.0837363Z + rm -rf fbgemm 2025-08-14T21:42:54.8426397Z + PYTHONPATH=/torchbench 2025-08-14T21:42:54.8426868Z + test_dynamo_benchmark torchbench 0 2025-08-14T21:42:54.8429024Z ++ pwd 2025-08-14T21:42:54.8432037Z + TEST_REPORTS_DIR=/var/lib/jenkins/pytorch/test/test-reports 2025-08-14T21:42:54.8432431Z + local suite=torchbench 2025-08-14T21:42:54.8432660Z + shift 2025-08-14T21:42:54.8432874Z + local shard_id=0 2025-08-14T21:42:54.8433073Z + shift 2025-08-14T21:42:54.8441234Z + [[ aot_eager_torchbench == *perf_compare* ]] 2025-08-14T21:42:54.8441500Z + [[ aot_eager_torchbench == *perf* ]] 2025-08-14T21:42:54.8441706Z + [[ aot_eager_torchbench == *cpu* ]] 2025-08-14T21:42:54.8441959Z + [[ aot_eager_torchbench == *aot_inductor* ]] 2025-08-14T21:42:54.8442195Z + [[ aot_eager_torchbench == *max_autotune_inductor* ]] 2025-08-14T21:42:54.8442855Z + test_single_dynamo_benchmark inference torchbench 0 --inference --bfloat16 2025-08-14T21:42:54.8443139Z ++ pwd 2025-08-14T21:42:54.8443337Z + TEST_REPORTS_DIR=/var/lib/jenkins/pytorch/test/test-reports 2025-08-14T21:42:54.8443601Z + mkdir -p /var/lib/jenkins/pytorch/test/test-reports 2025-08-14T21:42:54.8453688Z + local name=inference 2025-08-14T21:42:54.8454824Z + shift 2025-08-14T21:42:54.8462008Z + local suite=torchbench 2025-08-14T21:42:54.8462218Z + shift 2025-08-14T21:42:54.8462358Z + local shard_id=0 2025-08-14T21:42:54.8462506Z + shift 2025-08-14T21:42:54.8462659Z + partition_flags=() 2025-08-14T21:42:54.8462823Z + local partition_flags 2025-08-14T21:42:54.8463008Z + [[ -n 2 ]] 2025-08-14T21:42:54.8463152Z + [[ -n 0 ]] 2025-08-14T21:42:54.8463418Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-08-14T21:42:54.8463790Z + [[ aot_eager_torchbench == *perf_compare* ]] 2025-08-14T21:42:54.8464001Z + [[ aot_eager_torchbench == *perf* ]] 2025-08-14T21:42:54.8466189Z + [[ aot_eager_torchbench == *_avx2* ]] 2025-08-14T21:42:54.8466394Z + [[ aot_eager_torchbench == *_avx512* ]] 2025-08-14T21:42:54.8467102Z + python benchmarks/dynamo/torchbench.py --ci --accuracy --timing --explain --print-compilation-time --backend aot_eager --device cuda --inference --bfloat16 --total-partitions 2 --partition-id 0 --output /var/lib/jenkins/pytorch/test/test-reports/inference_torchbench.csv 2025-08-14T21:42:58.4003381Z 2025-08-14T21:42:58.4856478Z loading model: 0it [00:00, ?it/s]ERROR:root:Could not load the library 'fbgemm_gpu_py.so'! 2025-08-14T21:42:58.4856835Z 2025-08-14T21:42:58.4856841Z 2025-08-14T21:42:58.4857106Z Could not load this library: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/fbgemm_gpu/fbgemm_gpu_py.so 2025-08-14T21:42:58.4857401Z 2025-08-14T21:42:58.4858092Z 2025-08-14T21:42:58.4858093Z 2025-08-14T21:42:58.4858095Z 2025-08-14T21:42:58.4858174Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:42:58.4865370Z cuda eval torchrec_dlrm 2025-08-14T21:42:58.4865694Z Traceback (most recent call last): 2025-08-14T21:42:58.4866030Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_ops.py", line 1487, in load_library 2025-08-14T21:42:58.4866386Z ctypes.CDLL(path) 2025-08-14T21:42:58.4866645Z File "/opt/conda/envs/py_3.10/lib/python3.10/ctypes/__init__.py", line 374, in __init__ 2025-08-14T21:42:58.4866949Z self._handle = _dlopen(self._name, mode) 2025-08-14T21:42:58.4867385Z OSError: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/fbgemm_gpu/fbgemm_gpu_py.so: undefined symbol: _ZN3tbb6detail2r117deallocate_memoryEPv 2025-08-14T21:42:58.4867748Z 2025-08-14T21:42:58.4868003Z The above exception was the direct cause of the following exception: 2025-08-14T21:42:58.4868184Z 2025-08-14T21:42:58.4868251Z Traceback (most recent call last): 2025-08-14T21:42:58.4868531Z File "/var/lib/jenkins/pytorch/benchmarks/dynamo/common.py", line 4124, in run 2025-08-14T21:42:58.4871022Z ) = runner.load_model( 2025-08-14T21:42:58.4871262Z File "/var/lib/jenkins/pytorch/benchmarks/dynamo/torchbench.py", line 259, in load_model 2025-08-14T21:42:58.4871498Z module = importlib.import_module(c) 2025-08-14T21:42:58.4871732Z File "/opt/conda/envs/py_3.10/lib/python3.10/importlib/__init__.py", line 126, in import_module 2025-08-14T21:42:58.4871994Z return _bootstrap._gcd_import(name[level:], package, level) 2025-08-14T21:42:58.4872219Z File "", line 1050, in _gcd_import 2025-08-14T21:42:58.4872432Z File "", line 1027, in _find_and_load 2025-08-14T21:42:58.4872656Z File "", line 1006, in _find_and_load_unlocked 2025-08-14T21:42:58.4872888Z File "", line 688, in _load_unlocked 2025-08-14T21:42:58.4873109Z File "", line 883, in exec_module 2025-08-14T21:42:58.4873350Z File "", line 241, in _call_with_frames_removed 2025-08-14T21:42:58.4873783Z File "/torchbench/torchbenchmark/canary_models/torchrec_dlrm/__init__.py", line 7, in 2025-08-14T21:42:58.4874039Z from .data.dlrm_dataloader import get_dataloader 2025-08-14T21:42:58.4874317Z File "/torchbench/torchbenchmark/canary_models/torchrec_dlrm/data/dlrm_dataloader.py", line 13, in 2025-08-14T21:42:58.4874585Z from torchrec.datasets.criteo import ( 2025-08-14T21:42:58.4874833Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchrec/__init__.py", line 8, in 2025-08-14T21:42:58.4876423Z import torchrec.distributed # noqa 2025-08-14T21:42:58.4876694Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchrec/distributed/__init__.py", line 36, in 2025-08-14T21:42:58.4877028Z from torchrec.distributed.model_parallel import DistributedModelParallel # noqa 2025-08-14T21:42:58.4877374Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchrec/distributed/model_parallel.py", line 21, in 2025-08-14T21:42:58.4877672Z from torchrec.distributed.planner import ( 2025-08-14T21:42:58.4878052Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchrec/distributed/planner/__init__.py", line 22, in 2025-08-14T21:42:58.4878406Z from torchrec.distributed.planner.planners import EmbeddingShardingPlanner # noqa 2025-08-14T21:42:58.4878764Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchrec/distributed/planner/planners.py", line 19, in 2025-08-14T21:42:58.4879102Z from torchrec.distributed.planner.constants import BATCH_SIZE, MAX_SIZE 2025-08-14T21:42:58.4879426Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchrec/distributed/planner/constants.py", line 10, in 2025-08-14T21:42:58.4879706Z from torchrec.distributed.embedding_types import EmbeddingComputeKernel 2025-08-14T21:42:58.4880982Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchrec/distributed/embedding_types.py", line 14, in 2025-08-14T21:42:58.4881276Z from fbgemm_gpu.split_table_batched_embeddings_ops_training import EmbeddingLocation 2025-08-14T21:42:58.4881537Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fbgemm_gpu/__init__.py", line 90, in 2025-08-14T21:42:58.4881756Z _load_library(f"{library}.so", __variant__ == "docs") 2025-08-14T21:42:58.4881981Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fbgemm_gpu/__init__.py", line 22, in _load_library 2025-08-14T21:42:58.4882179Z raise error 2025-08-14T21:42:58.4882358Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fbgemm_gpu/__init__.py", line 17, in _load_library 2025-08-14T21:42:58.4882605Z torch.ops.load_library(os.path.join(os.path.dirname(__file__), filename)) 2025-08-14T21:42:58.4882841Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_ops.py", line 1489, in load_library 2025-08-14T21:42:58.4883064Z raise OSError(f"Could not load this library: {path}") from e 2025-08-14T21:42:58.4883337Z OSError: Could not load this library: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/fbgemm_gpu/fbgemm_gpu_py.so 2025-08-14T21:42:58.4883513Z 2025-08-14T21:42:58.4884463Z eager_fail_to_run 2025-08-14T21:43:00.7392631Z 2025-08-14T21:43:05.5463930Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:43:05.5464399Z loading model: 0it [00:04, ?it/s] 2025-08-14T21:43:05.5495568Z cuda eval BERT_pytorch 2025-08-14T21:43:08.5249694Z Compilation time (from dynamo_timed): 2.633468108 2025-08-14T21:43:08.5255964Z pass 2025-08-14T21:43:08.5257126Z TIMING: backend_compile:1.23045 gc:0.00029 entire_frame_compile:2.63347 total_wall_time:2.63347 2025-08-14T21:43:08.5257546Z STATS: call_* op count: 543 | FakeTensor.__torch_dispatch__:17 | FakeTensorMode.__torch_dispatch__:12473 | ProxyTorchDispatchMode.__torch_dispatch__:5145 2025-08-14T21:43:08.5258059Z Dynamo produced 1 graphs covering 543 ops with 0 graph breaks (0 unique) 2025-08-14T21:43:11.3056706Z 2025-08-14T21:43:41.4521756Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:43:41.4522635Z loading model: 0it [00:30, ?it/s] 2025-08-14T21:43:41.4524235Z cuda eval Background_Matting 2025-08-14T21:43:41.4537110Z Compilation time (from dynamo_timed): 0 2025-08-14T21:43:41.4537262Z pass_due_to_skip 2025-08-14T21:43:41.4628890Z TIMING: total_wall_time:0 2025-08-14T21:43:41.4630528Z STATS: call_* op count: 0 2025-08-14T21:43:41.4638721Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique) 2025-08-14T21:43:44.4434570Z 2025-08-14T21:44:04.4870801Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:44:04.4871006Z loading model: 0it [00:20, ?it/s] 2025-08-14T21:44:04.4871151Z cuda eval LearningToPaint 2025-08-14T21:44:04.4939382Z [W814 21:44:04.378423822 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:44:04.5588433Z [W814 21:44:04.444860324 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:44:04.5591184Z [W814 21:44:04.445187327 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:44:04.5593097Z [W814 21:44:04.445394923 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:44:04.5595741Z [W814 21:44:04.445661058 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:44:04.5597674Z [W814 21:44:04.445858186 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:44:04.5600013Z [W814 21:44:04.446084151 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:44:04.5602158Z [W814 21:44:04.446306898 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:44:04.5604205Z [W814 21:44:04.446512514 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:44:04.5606413Z [W814 21:44:04.446733990 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:44:04.5610660Z [W814 21:44:04.446930056 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:44:04.5611623Z [W814 21:44:04.447149063 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:44:04.5612542Z [W814 21:44:04.447365288 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:44:04.5614436Z [W814 21:44:04.447562455 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:44:04.5616686Z [W814 21:44:04.447792171 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:44:04.5618781Z [W814 21:44:04.447988908 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:44:04.5620871Z [W814 21:44:04.448207264 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:44:04.5623274Z [W814 21:44:04.448445328 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:44:04.5625417Z [W814 21:44:04.448663965 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:44:04.5627682Z [W814 21:44:04.448892931 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:44:04.5634332Z [W814 21:44:04.449113317 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:44:04.6161645Z [W814 21:44:04.502215346 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:44:04.6168529Z [W814 21:44:04.502933864 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:44:04.6171449Z [W814 21:44:04.503240768 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:44:04.6173451Z [W814 21:44:04.503458095 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:44:04.6176120Z [W814 21:44:04.503722050 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:44:04.6179582Z [W814 21:44:04.503925596 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:44:04.6180592Z [W814 21:44:04.504152462 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:44:04.6182513Z [W814 21:44:04.504363788 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:44:04.6184493Z [W814 21:44:04.504564044 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:44:04.6186600Z [W814 21:44:04.504776191 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:44:04.6190309Z [W814 21:44:04.504975688 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:44:04.6196830Z [W814 21:44:04.505199964 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:44:04.6197543Z [W814 21:44:04.505405840 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:44:04.6197970Z [W814 21:44:04.505599757 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:44:04.6198319Z [W814 21:44:04.505808562 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:44:04.6199911Z [W814 21:44:04.506017178 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:44:04.6201302Z [W814 21:44:04.506229494 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:44:04.6203510Z [W814 21:44:04.506458941 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:44:04.6205936Z [W814 21:44:04.506675106 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:44:04.6207832Z [W814 21:44:04.506883683 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:44:04.6210966Z [W814 21:44:04.507108050 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:44:05.6123110Z Compilation time (from dynamo_timed): 0.881473613 2025-08-14T21:44:05.6123553Z pass 2025-08-14T21:44:05.6124009Z TIMING: backend_compile:0.28794 gc:0.00019 entire_frame_compile:0.88147 total_wall_time:0.88147 2025-08-14T21:44:05.6124909Z STATS: call_* op count: 71 | FakeTensorMode.__torch_dispatch__:2804 | FakeTensor.__torch_dispatch__:2 | ProxyTorchDispatchMode.__torch_dispatch__:1104 2025-08-14T21:44:05.6125741Z Dynamo produced 1 graphs covering 71 ops with 0 graph breaks (0 unique) 2025-08-14T21:44:08.5856275Z 2025-08-14T21:44:09.3116044Z 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 2025-08-14T21:44:09.3352185Z 2025-08-14T21:44:09.3352352Z 2025-08-14T21:44:09.4360107Z 0% 0.00/528M [00:00", line 1050, in _gcd_import 2025-08-14T21:51:41.6664297Z File "", line 1027, in _find_and_load 2025-08-14T21:51:41.6664627Z File "", line 1006, in _find_and_load_unlocked 2025-08-14T21:51:41.6664960Z File "", line 688, in _load_unlocked 2025-08-14T21:51:41.6668519Z File "", line 883, in exec_module 2025-08-14T21:51:41.6668864Z File "", line 241, in _call_with_frames_removed 2025-08-14T21:51:41.6669274Z File "/torchbench/torchbenchmark/canary_models/torchrec_dlrm/__init__.py", line 7, in 2025-08-14T21:51:41.6669632Z from .data.dlrm_dataloader import get_dataloader 2025-08-14T21:51:41.6670021Z File "/torchbench/torchbenchmark/canary_models/torchrec_dlrm/data/dlrm_dataloader.py", line 13, in 2025-08-14T21:51:41.6670396Z from torchrec.datasets.criteo import ( 2025-08-14T21:51:41.6670745Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchrec/__init__.py", line 8, in 2025-08-14T21:51:41.6671285Z import torchrec.distributed # noqa 2025-08-14T21:51:41.6671664Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchrec/distributed/__init__.py", line 36, in 2025-08-14T21:51:41.6672153Z from torchrec.distributed.model_parallel import DistributedModelParallel # noqa 2025-08-14T21:51:41.6672777Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchrec/distributed/model_parallel.py", line 21, in 2025-08-14T21:51:41.6675694Z from torchrec.distributed.planner import ( 2025-08-14T21:51:41.6676109Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchrec/distributed/planner/__init__.py", line 22, in 2025-08-14T21:51:41.6676613Z from torchrec.distributed.planner.planners import EmbeddingShardingPlanner # noqa 2025-08-14T21:51:41.6677129Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchrec/distributed/planner/planners.py", line 19, in 2025-08-14T21:51:41.6677629Z from torchrec.distributed.planner.constants import BATCH_SIZE, MAX_SIZE 2025-08-14T21:51:41.6678415Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchrec/distributed/planner/constants.py", line 10, in 2025-08-14T21:51:41.6678911Z from torchrec.distributed.embedding_types import EmbeddingComputeKernel 2025-08-14T21:51:41.6679397Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchrec/distributed/embedding_types.py", line 14, in 2025-08-14T21:51:41.6679898Z from fbgemm_gpu.split_table_batched_embeddings_ops_training import EmbeddingLocation 2025-08-14T21:51:41.6680344Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fbgemm_gpu/__init__.py", line 90, in 2025-08-14T21:51:41.6683137Z _load_library(f"{library}.so", __variant__ == "docs") 2025-08-14T21:51:41.6683558Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fbgemm_gpu/__init__.py", line 22, in _load_library 2025-08-14T21:51:41.6683910Z raise error 2025-08-14T21:51:41.6684215Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fbgemm_gpu/__init__.py", line 17, in _load_library 2025-08-14T21:51:41.6684748Z torch.ops.load_library(os.path.join(os.path.dirname(__file__), filename)) 2025-08-14T21:51:41.6685162Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_ops.py", line 1489, in load_library 2025-08-14T21:51:41.6685538Z raise OSError(f"Could not load this library: {path}") from e 2025-08-14T21:51:41.6685962Z OSError: Could not load this library: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/fbgemm_gpu/fbgemm_gpu_py.so 2025-08-14T21:51:41.6686262Z 2025-08-14T21:51:41.6686321Z eager_fail_to_run 2025-08-14T21:51:43.9210640Z 2025-08-14T21:51:49.7126909Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:51:49.7127369Z loading model: 0it [00:05, ?it/s] 2025-08-14T21:51:49.7127736Z cuda train BERT_pytorch 2025-08-14T21:51:56.8734244Z Compilation time (from dynamo_timed): 6.485076653 2025-08-14T21:51:56.8751128Z pass 2025-08-14T21:51:56.9079525Z TIMING: gc:0.00314 entire_frame_compile:6.4367 backend_compile:3.83168 entire_backward_compile:0.04838 total_wall_time:6.48508 2025-08-14T21:51:56.9087487Z STATS: call_* op count: 547 | FakeTensor.__torch_dispatch__:66 | FakeTensorMode.__torch_dispatch__:30294 | ProxyTorchDispatchMode.__torch_dispatch__:15805 2025-08-14T21:51:56.9088679Z Dynamo produced 2 graphs covering 547 ops with 6 graph breaks (5 unique) 2025-08-14T21:52:00.2297663Z 2025-08-14T22:02:05.6591245Z loading model: 0it [00:00, ?it/s]Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6592747Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6593118Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6593918Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6594299Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6594665Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6595107Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6602374Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6602835Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6603203Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6603579Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6604072Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6604428Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6604784Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6605140Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6605495Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6605855Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6608474Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6608978Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6609335Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6609691Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6610048Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6610408Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6610770Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6611142Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6611499Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6611856Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6612214Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6612569Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6612925Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6613326Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6613687Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6614042Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6615774Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6616129Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6616484Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6616837Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6617194Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6617581Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6617993Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6618350Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6618706Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6619059Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6621078Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6630384Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6630858Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6631275Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6631663Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6632054Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6632437Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6632831Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6633213Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6633592Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6639467Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6639863Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6640219Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6640575Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6641047Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6641415Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6641847Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6642204Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6642557Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6642912Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6643272Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6643751Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6644124Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6646180Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6646540Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6646899Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6647255Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6647619Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:02:05.6648329Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9083867Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9084526Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9095480Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9096199Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9096882Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9097590Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9098395Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9099070Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9099757Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9100421Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9101089Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9101754Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9102715Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9103379Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9104169Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9104842Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9105513Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9106177Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9106864Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9107644Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9108420Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9109102Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9109778Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9110459Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9111132Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9111814Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9112606Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9113277Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9113964Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9114640Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9115316Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9115989Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9116669Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9117344Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9119980Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9120572Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9121118Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9123188Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9123809Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9124359Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9124904Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9125496Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9126044Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9126599Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9127146Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9127691Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9128459Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9129000Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9129544Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9130088Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9130631Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9131174Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9131719Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9132296Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9132863Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9133407Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9137818Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9138507Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9139048Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9139600Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9140144Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9140687Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9141231Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9141771Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9142310Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9142909Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9143452Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9143995Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9144574Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9146874Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9147423Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:06.9148073Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7957517Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7958546Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7958941Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7959309Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7959681Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7960051Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7960415Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7960902Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7968626Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7969107Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7969475Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7969836Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7970195Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7970563Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7970934Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7971297Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7971659Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7972020Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7972381Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7972942Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7975083Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7983699Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7984104Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7984793Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7985162Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7985527Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7985889Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7986273Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7986719Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7987086Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7990931Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7991344Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7991718Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7992100Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7992580Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7992940Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7993299Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7993658Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7994017Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7994378Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7996216Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7996614Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7996985Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7997355Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7997757Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7998206Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7998563Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7999018Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7999385Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.7999785Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8001515Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8001885Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8002245Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8002616Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8003011Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8003370Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8003732Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8004091Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8004448Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8004806Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8005166Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8006599Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8006959Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8007316Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8007672Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8008176Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8008536Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8008898Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8009259Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8009619Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8009978Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8010339Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8011730Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8012089Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8012480Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8012840Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8013223Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8013585Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8013944Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8014305Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8014665Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8015045Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8016391Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8016756Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8017113Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8017471Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8017827Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8018264Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8018671Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8019028Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8019386Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8019742Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8020097Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8021482Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8021844Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8022202Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8022560Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8022919Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8023278Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8023635Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8039576Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8039948Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8040306Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8042204Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8042581Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8042936Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8043292Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8043647Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8044027Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8044382Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8044737Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8045097Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8045452Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8045806Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8046184Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8046547Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8046910Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8047265Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8047622Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:03:30.8048139Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7368871Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7369421Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7369791Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7370169Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7370538Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7370908Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7371274Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7379082Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7379555Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7379923Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7380389Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7380751Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7381112Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7381473Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7381839Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7382278Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7382641Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7382998Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7383358Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7383719Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7384343Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7384830Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7385312Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7385697Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7386255Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7386636Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7391012Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7391397Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7391763Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7392122Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7392479Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7392837Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7393192Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7393549Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7393982Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7394345Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7396225Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7410071Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7410747Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7411346Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7411913Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7412995Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7413549Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7414110Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7414662Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7422537Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7423181Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7423753Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7424479Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7425030Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7425586Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7426139Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7426692Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7427243Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7427797Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7428444Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7428997Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7429551Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7430107Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7430664Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7431219Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7431893Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7432453Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7435102Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7435654Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7436199Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7436741Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7437292Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7437958Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7438502Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7439044Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:29.7439584Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9108092Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9130780Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9133143Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9133889Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9134252Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9134618Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9134976Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9135335Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9135695Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9136064Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9136426Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9136787Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9137149Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9137510Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9137970Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9138443Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9138808Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9139166Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9139608Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9139972Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9140336Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9144171Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9144577Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9145051Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9145407Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9145765Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9146120Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9146473Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9146826Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9147183Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9147576Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9148159Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9148516Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9148871Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9150640Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9151007Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9151378Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9151748Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9152112Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9152474Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9152841Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9153206Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9153611Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9153976Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9154339Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9155795Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9156161Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9156526Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9156889Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9157256Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9157752Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9158226Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9158616Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9159003Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9159392Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9160876Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9161313Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9161702Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9162090Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9162477Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9162863Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9163249Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9163635Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9164023Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9164408Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9165825Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9166221Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9166607Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9166994Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9167505Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9169829Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9170240Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9170601Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9171487Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9173668Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9174113Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9174507Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9174863Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9175221Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9175577Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9175936Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9176290Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9176647Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9177033Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9177402Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9177757Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9178201Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9178565Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9178919Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9179275Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9179639Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9179993Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9199837Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9200357Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9200775Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9201204Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9201934Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9202338Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9202826Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9203213Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9203606Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9203997Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9210007Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9210554Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9210915Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9211272Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9211630Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9211993Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9212349Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9212707Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9213208Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9213566Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9215421Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9215791Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9216193Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9216553Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9216916Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9217286Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9217656Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:12:56.9218128Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9015117Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9015796Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9016825Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9017421Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9018248Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9029998Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9030697Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9031265Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9031835Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9032741Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9033542Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9034218Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9034897Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9035577Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9036244Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9036908Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9037580Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9038453Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9039131Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9039808Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9040477Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9041136Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9041803Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9042481Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9043145Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9043812Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9044470Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9045139Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9045805Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9050827Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9052541Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9053118Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9053787Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9054411Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9055033Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9055602Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9056179Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9056794Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9057343Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9060236Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9060807Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9061353Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9061900Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9062524Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9063076Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9065226Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9065780Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9066329Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9066896Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9067452Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9070337Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9070898Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9071450Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9071998Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9072553Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9073102Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9073715Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9074268Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9074815Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9075396Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9075942Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9076492Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9078722Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9079287Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9079868Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9080417Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9080957Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9081499Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9082038Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9082583Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9083160Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:14.9083702Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5408760Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5410010Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5410379Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5410741Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5411118Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5419741Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5420166Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5420539Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5420906Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5421274Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5421635Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5422312Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5422675Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5423105Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5423463Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5423820Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5424183Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5424543Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5424983Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5425342Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5425704Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5426063Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5426423Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5426784Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5427322Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5427998Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5428473Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5428950Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5429428Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5429900Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5430365Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5433782Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5434262Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5434722Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5435194Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5435666Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5436129Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5436600Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5437147Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5437611Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5438210Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5440645Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5441120Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5441587Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5442056Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5442569Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5443033Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5443504Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5443968Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5444429Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5444891Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5446936Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5447557Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5448096Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5448559Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5449024Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5449485Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5449949Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5450414Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5450870Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5451339Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5453215Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5453700Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5454163Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5454653Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5455118Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5455580Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5456063Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5456525Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5456990Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5457452Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:24.5458005Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.1995119Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.1996965Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.1997525Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2018758Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2019339Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2019903Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2020495Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2021388Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2021951Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2022506Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2023062Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2023614Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2024169Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2024729Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2025287Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2025846Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2026405Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2026961Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2040587Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2041350Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2041903Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2042449Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2043078Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2043626Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2044905Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2045946Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2047095Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2048357Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2049192Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2052605Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2053157Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2053705Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2054258Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2054877Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2055424Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2055974Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2056520Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2057063Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2057607Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2060146Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2060713Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2061269Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2061826Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2062371Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2062915Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2063456Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2064057Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2064602Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2065178Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2065722Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2066264Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2066806Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2067348Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2068002Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2068548Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2070517Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2071070Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2071613Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2072160Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2072711Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2073304Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2073847Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2074391Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2074935Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2075478Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2076022Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2077816Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2078448Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2078990Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2079535Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2080080Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:13:35.2080620Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:19:25.7802117Z 2025-08-14T22:19:25.7802920Z loading model: 0it [27:25, ?it/s] 2025-08-14T22:19:25.7803132Z cuda train Background_Matting 2025-08-14T22:19:25.7805418Z Compilation time (from dynamo_timed): 0 2025-08-14T22:19:25.7806120Z pass_due_to_skip 2025-08-14T22:19:25.7844843Z TIMING: total_wall_time:0 2025-08-14T22:19:25.7845000Z STATS: call_* op count: 0 2025-08-14T22:19:25.7845177Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique) 2025-08-14T22:19:28.3812417Z 2025-08-14T22:19:57.9362393Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:19:57.9362603Z loading model: 0it [00:29, ?it/s] 2025-08-14T22:19:57.9362753Z cuda train LearningToPaint 2025-08-14T22:19:57.9427527Z [W814 22:19:57.828232389 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.0056301Z [W814 22:19:58.891374346 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.0057559Z [W814 22:19:58.891744400 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.0060457Z [W814 22:19:58.891960876 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.0062113Z [W814 22:19:58.892244442 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.0063952Z [W814 22:19:58.892444688 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.0066032Z [W814 22:19:58.892652724 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.0068127Z [W814 22:19:58.892868731 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.0070189Z [W814 22:19:58.893078988 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.0075271Z [W814 22:19:58.893298444 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.0075535Z [W814 22:19:58.893587659 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.0078081Z [W814 22:19:58.893862243 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.0080574Z [W814 22:19:58.894111650 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.0082297Z [W814 22:19:58.894309455 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.0085319Z [W814 22:19:58.894589810 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.0087277Z [W814 22:19:58.894787898 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.0090164Z [W814 22:19:58.895064173 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.0092432Z [W814 22:19:58.895318689 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.0094541Z [W814 22:19:58.895539085 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.0098563Z [W814 22:19:58.895763230 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.0099868Z [W814 22:19:58.896045396 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1043522Z [W814 22:19:58.990104513 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1050143Z [W814 22:19:58.990806970 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1052412Z [W814 22:19:58.991245682 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1056270Z [W814 22:19:58.991647266 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1059858Z [W814 22:19:58.992024888 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1063936Z [W814 22:19:58.992441012 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1067261Z [W814 22:19:58.992772675 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1070433Z [W814 22:19:58.993098261 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1073812Z [W814 22:19:58.993424635 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1080462Z [W814 22:19:58.993732250 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1080768Z [W814 22:19:58.994091843 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1083532Z [W814 22:19:58.994415687 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1087319Z [W814 22:19:58.994726952 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1090319Z [W814 22:19:58.995060375 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1093164Z [W814 22:19:58.995366170 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1096401Z [W814 22:19:58.995694335 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1100578Z [W814 22:19:58.996093948 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1103497Z [W814 22:19:58.996410023 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1106829Z [W814 22:19:58.996738146 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1110314Z [W814 22:19:58.997057432 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1113606Z [W814 22:19:58.997417674 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1292394Z [W814 22:19:58.015212204 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1297147Z [W814 22:19:58.015675166 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1298665Z [W814 22:19:58.015897363 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1300546Z [W814 22:19:58.016109768 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1302836Z [W814 22:19:58.016344455 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1304744Z [W814 22:19:58.016542680 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1306814Z [W814 22:19:58.016751068 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1308789Z [W814 22:19:58.016949644 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1312290Z [W814 22:19:58.017146741 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1312591Z [W814 22:19:58.017350246 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1314342Z [W814 22:19:58.017542334 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1316408Z [W814 22:19:58.017746270 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1318428Z [W814 22:19:58.017940807 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1320349Z [W814 22:19:58.018135423 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1322202Z [W814 22:19:58.018338009 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1324088Z [W814 22:19:58.018527777 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1326111Z [W814 22:19:58.018729842 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1328867Z [W814 22:19:58.018952818 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1330862Z [W814 22:19:58.019164214 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1332657Z [W814 22:19:58.019364211 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1334653Z [W814 22:19:58.019567658 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1344108Z [W814 22:19:58.020475083 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1347384Z [W814 22:19:58.020818936 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1351018Z [W814 22:19:58.021163059 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1353964Z [W814 22:19:58.021475834 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1357159Z [W814 22:19:58.021791429 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1360545Z [W814 22:19:58.022123194 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1363657Z [W814 22:19:58.022441037 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1366823Z [W814 22:19:58.022757692 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1370277Z [W814 22:19:58.023080217 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1373050Z [W814 22:19:58.023392352 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1376326Z [W814 22:19:58.023707535 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1379727Z [W814 22:19:58.024031229 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1382714Z [W814 22:19:58.024346864 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1385840Z [W814 22:19:58.024653370 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1388911Z [W814 22:19:58.024960404 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1392134Z [W814 22:19:58.025288258 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1395181Z [W814 22:19:58.025600473 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1398448Z [W814 22:19:58.025915288 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1401757Z [W814 22:19:58.026242851 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1404716Z [W814 22:19:58.026553745 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:58.1425449Z [W814 22:19:58.026870560 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:00.7331189Z Compilation time (from dynamo_timed): 2.41429854 2025-08-14T22:20:00.7336145Z pass 2025-08-14T22:20:00.7375428Z TIMING: gc:0.00249 entire_frame_compile:2.40453 backend_compile:1.45712 entire_backward_compile:0.00977 total_wall_time:2.4143 2025-08-14T22:20:00.7376023Z STATS: call_* op count: 75 | FakeTensorMode.__torch_dispatch__:5112 | FakeTensor.__torch_dispatch__:26 | ProxyTorchDispatchMode.__torch_dispatch__:2155 2025-08-14T22:20:00.7376384Z Dynamo produced 2 graphs covering 75 ops with 6 graph breaks (5 unique) 2025-08-14T22:20:04.3283796Z 2025-08-14T22:20:34.8918487Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:20:34.8931831Z loading model: 0it [00:30, ?it/s] 2025-08-14T22:20:34.8932037Z cuda train Super_SloMo 2025-08-14T22:20:34.8969756Z [W814 22:20:34.782861324 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9908945Z [W814 22:20:34.876798903 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9913916Z [W814 22:20:34.877414603 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9915653Z [W814 22:20:34.877628188 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9917673Z [W814 22:20:34.877799325 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9918881Z [W814 22:20:34.877957223 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9920469Z [W814 22:20:34.878129700 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9921967Z [W814 22:20:34.878286628 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9926222Z [W814 22:20:34.878444825 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9926586Z [W814 22:20:34.878599771 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9927657Z [W814 22:20:34.878788888 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9929943Z [W814 22:20:34.878982956 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9931911Z [W814 22:20:34.879213712 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9933644Z [W814 22:20:34.879445268 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9935388Z [W814 22:20:34.879637684 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9937079Z [W814 22:20:34.879805030 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9938559Z [W814 22:20:34.879957339 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9940151Z [W814 22:20:34.880121976 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9945809Z [W814 22:20:34.880271522 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9946103Z [W814 22:20:34.880461239 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9946401Z [W814 22:20:34.880737814 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9948805Z [W814 22:20:34.880958361 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9951224Z [W814 22:20:34.881204237 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9959970Z [W814 22:20:34.882061111 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9962738Z [W814 22:20:34.882353497 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9965358Z [W814 22:20:34.882625601 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9966821Z [W814 22:20:34.882769650 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9968787Z [W814 22:20:34.882931376 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9970815Z [W814 22:20:34.883084333 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9971216Z [W814 22:20:34.883232642 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9972712Z [W814 22:20:34.883374739 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9974047Z [W814 22:20:34.883521716 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9975402Z [W814 22:20:34.883660654 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9977038Z [W814 22:20:34.883823740 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9979401Z [W814 22:20:34.883978117 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9980553Z [W814 22:20:34.884157294 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9982113Z [W814 22:20:34.884325351 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9983742Z [W814 22:20:34.884492140 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9986629Z [W814 22:20:34.884639657 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9986902Z [W814 22:20:34.884789303 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9988236Z [W814 22:20:34.884936412 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9989900Z [W814 22:20:34.885093258 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9991187Z [W814 22:20:34.885239695 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9992694Z [W814 22:20:34.885388693 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9994290Z [W814 22:20:34.885535081 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:34.9997466Z [W814 22:20:34.885815685 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.0004283Z [W814 22:20:34.886496174 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.0006210Z [W814 22:20:34.886706501 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.0008988Z [W814 22:20:34.886971356 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.0010676Z [W814 22:20:35.887149882 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.0012579Z [W814 22:20:35.887318150 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.0013743Z [W814 22:20:35.887480127 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.0015338Z [W814 22:20:35.887623874 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.0016573Z [W814 22:20:35.887772622 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.0018161Z [W814 22:20:35.887922120 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.0019660Z [W814 22:20:35.888072366 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.0020933Z [W814 22:20:35.888206835 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.0022226Z [W814 22:20:35.888341492 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.0025644Z [W814 22:20:35.888646536 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.0028570Z [W814 22:20:35.888783665 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.0028841Z [W814 22:20:35.888926022 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.0029560Z [W814 22:20:35.889071889 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.0030957Z [W814 22:20:35.889207306 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.0032283Z [W814 22:20:35.889347464 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.0033592Z [W814 22:20:35.889480681 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.0034929Z [W814 22:20:35.889611870 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.0060991Z [W814 22:20:35.892141126 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.0924157Z [W814 22:20:35.978136113 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.0926707Z [W814 22:20:35.978332849 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.0927408Z [W814 22:20:35.978571296 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.0928350Z [W814 22:20:35.978734913 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.0933240Z [W814 22:20:35.978884611 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.0933496Z [W814 22:20:35.979066097 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.0933737Z [W814 22:20:35.979219994 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.0934325Z [W814 22:20:35.979404391 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.0935012Z [W814 22:20:35.979551628 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.0944387Z [W814 22:20:35.980441553 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1718175Z [W814 22:20:35.057529026 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1723683Z [W814 22:20:35.058222625 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1725394Z [W814 22:20:35.058562559 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1728950Z [W814 22:20:35.058905842 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1733924Z [W814 22:20:35.059227747 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1735424Z [W814 22:20:35.059568031 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1737819Z [W814 22:20:35.059865985 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1741571Z [W814 22:20:35.060193811 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1744037Z [W814 22:20:35.060478066 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1747535Z [W814 22:20:35.060804789 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1750710Z [W814 22:20:35.061129834 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1753879Z [W814 22:20:35.061431678 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1756749Z [W814 22:20:35.061757743 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1759757Z [W814 22:20:35.062037438 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1764742Z [W814 22:20:35.062352073 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1766064Z [W814 22:20:35.062653777 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1769560Z [W814 22:20:35.062972722 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1772247Z [W814 22:20:35.063290277 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1775368Z [W814 22:20:35.063595960 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1778237Z [W814 22:20:35.063903786 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1781789Z [W814 22:20:35.064237900 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1788233Z [W814 22:20:35.064887498 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1796401Z [W814 22:20:35.065696543 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1800050Z [W814 22:20:35.066063828 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1802847Z [W814 22:20:35.066359592 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1805931Z [W814 22:20:35.066655978 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1808831Z [W814 22:20:35.066956902 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1811966Z [W814 22:20:35.067262056 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1814817Z [W814 22:20:35.067553271 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1817774Z [W814 22:20:35.067849746 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1820662Z [W814 22:20:35.068137812 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1823484Z [W814 22:20:35.068420996 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1826168Z [W814 22:20:35.068694991 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1829168Z [W814 22:20:35.068977746 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1831882Z [W814 22:20:35.069257621 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1834711Z [W814 22:20:35.069550827 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1837787Z [W814 22:20:35.069840042 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1840721Z [W814 22:20:35.070132746 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1843353Z [W814 22:20:35.070405532 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1846195Z [W814 22:20:35.070691356 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1849285Z [W814 22:20:35.070987191 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1852177Z [W814 22:20:35.071286946 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1855493Z [W814 22:20:35.071569532 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1858072Z [W814 22:20:35.071867256 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.1861898Z [W814 22:20:35.072255509 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2244952Z [W814 22:20:35.110292836 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2246983Z [W814 22:20:35.110646458 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2248257Z [W814 22:20:35.110825715 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2253351Z [W814 22:20:35.110987352 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2253654Z [W814 22:20:35.111161649 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2253923Z [W814 22:20:35.111305198 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2254175Z [W814 22:20:35.111457515 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2254859Z [W814 22:20:35.111600373 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2257269Z [W814 22:20:35.111749030 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2258147Z [W814 22:20:35.111892088 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2260356Z [W814 22:20:35.112075073 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2261125Z [W814 22:20:35.112238691 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2263338Z [W814 22:20:35.112433618 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2268781Z [W814 22:20:35.112600064 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2269296Z [W814 22:20:35.112769521 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2269553Z [W814 22:20:35.112922939 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2269876Z [W814 22:20:35.113082016 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2271140Z [W814 22:20:35.113231604 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2272747Z [W814 22:20:35.113383791 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2274079Z [W814 22:20:35.113530739 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2275599Z [W814 22:20:35.113676637 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2277069Z [W814 22:20:35.113825554 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2278716Z [W814 22:20:35.113966371 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2286188Z [W814 22:20:35.114693579 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2288377Z [W814 22:20:35.114871805 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2289259Z [W814 22:20:35.115037282 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2290636Z [W814 22:20:35.115178810 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2292031Z [W814 22:20:35.115324448 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2293438Z [W814 22:20:35.115463545 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2294876Z [W814 22:20:35.115608783 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2296290Z [W814 22:20:35.115747580 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2297686Z [W814 22:20:35.115890007 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2299377Z [W814 22:20:35.116036504 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2300857Z [W814 22:20:35.116194902 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2302278Z [W814 22:20:35.116349699 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2303954Z [W814 22:20:35.116517167 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2305560Z [W814 22:20:35.116676204 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2308653Z [W814 22:20:35.116838730 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2308927Z [W814 22:20:35.116985128 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2310302Z [W814 22:20:35.117142425 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2311694Z [W814 22:20:35.117289482 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2313173Z [W814 22:20:35.117438131 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2314671Z [W814 22:20:35.117581488 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2316061Z [W814 22:20:35.117726795 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2317548Z [W814 22:20:35.117871643 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2319035Z [W814 22:20:35.118019850 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2325307Z [W814 22:20:35.118589091 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2327027Z [W814 22:20:35.118779367 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2328777Z [W814 22:20:35.118966413 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2330405Z [W814 22:20:35.119151721 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2331846Z [W814 22:20:35.119304547 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2333243Z [W814 22:20:35.119445836 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2334626Z [W814 22:20:35.119584082 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2336075Z [W814 22:20:35.119728560 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2337512Z [W814 22:20:35.119868728 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2338988Z [W814 22:20:35.120014015 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2340321Z [W814 22:20:35.120147784 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2341601Z [W814 22:20:35.120282681 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2343027Z [W814 22:20:35.120429228 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2344423Z [W814 22:20:35.120563965 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2345828Z [W814 22:20:35.120703763 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2347161Z [W814 22:20:35.120835691 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2348581Z [W814 22:20:35.120967178 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2350047Z [W814 22:20:35.121113656 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2351301Z [W814 22:20:35.121248853 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2352606Z [W814 22:20:35.121382522 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2371328Z [W814 22:20:35.123126280 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2372246Z [W814 22:20:35.123325017 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2374764Z [W814 22:20:35.123466934 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2375180Z [W814 22:20:35.123635103 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2376509Z [W814 22:20:35.123772929 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2377861Z [W814 22:20:35.123908547 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2379793Z [W814 22:20:35.124071855 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2380885Z [W814 22:20:35.124210372 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2382553Z [W814 22:20:35.124362779 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2383784Z [W814 22:20:35.124503467 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2390869Z [W814 22:20:35.125096566 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2393599Z [W814 22:20:35.125431720 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2396456Z [W814 22:20:35.125725606 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2399820Z [W814 22:20:35.126032561 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2402523Z [W814 22:20:35.126321436 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2405352Z [W814 22:20:35.126614080 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2408521Z [W814 22:20:35.126907014 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2411459Z [W814 22:20:35.127214989 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2414341Z [W814 22:20:35.127511515 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2417338Z [W814 22:20:35.127791050 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2420108Z [W814 22:20:35.128076445 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2422778Z [W814 22:20:35.128355369 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2425464Z [W814 22:20:35.128623635 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2428308Z [W814 22:20:35.128905691 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2431103Z [W814 22:20:35.129184986 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2433834Z [W814 22:20:35.129467821 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2436617Z [W814 22:20:35.129735005 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2439497Z [W814 22:20:35.130025040 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2442333Z [W814 22:20:35.130308215 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2445125Z [W814 22:20:35.130591090 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2448175Z [W814 22:20:35.130882905 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2451216Z [W814 22:20:35.131188180 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2453969Z [W814 22:20:35.131473375 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2459916Z [W814 22:20:35.132064284 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2462856Z [W814 22:20:35.132364599 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2465719Z [W814 22:20:35.132650905 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2470292Z [W814 22:20:35.132942429 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2471732Z [W814 22:20:35.133238555 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2692473Z [W814 22:20:35.155159961 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2694755Z [W814 22:20:35.155466107 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2697842Z [W814 22:20:35.155770701 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2700148Z [W814 22:20:35.156061905 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2702704Z [W814 22:20:35.156350011 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2705586Z [W814 22:20:35.156632186 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2708479Z [W814 22:20:35.156918890 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2711224Z [W814 22:20:35.157201245 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2716768Z [W814 22:20:35.157494480 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2717063Z [W814 22:20:35.157769255 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2720100Z [W814 22:20:35.158067901 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2723077Z [W814 22:20:35.158344676 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2725865Z [W814 22:20:35.158637520 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2729070Z [W814 22:20:35.158941606 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2731595Z [W814 22:20:35.159237430 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2734659Z [W814 22:20:35.159529505 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2737702Z [W814 22:20:35.159833939 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:35.2740548Z [W814 22:20:35.160132514 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:40.8031861Z W0814 22:20:40.802000 678377 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-08-14T22:20:45.6539355Z Compilation time (from dynamo_timed): 9.270803349 2025-08-14T22:20:45.6548745Z pass 2025-08-14T22:20:45.6577564Z TIMING: gc:0.00249 entire_frame_compile:9.24586 backend_compile:4.43888 entire_backward_compile:0.02494 total_wall_time:9.2708 2025-08-14T22:20:45.6578204Z STATS: call_* op count: 857 | FakeTensorMode.__torch_dispatch__:29612 | FakeTensor.__torch_dispatch__:1269 | ProxyTorchDispatchMode.__torch_dispatch__:13622 2025-08-14T22:20:45.6578621Z Dynamo produced 3 graphs covering 857 ops with 7 graph breaks (5 unique) 2025-08-14T22:20:49.0718524Z 2025-08-14T22:20:58.2558893Z loading model: 0it [00:00, ?it/s]MIOpen(HIP): Error [ParseContents] Duplicate ID (ignored): ConvAsmImplicitGemmGTCDynamicWrwXdlopsNHWC; key: 2x64x55x55x1x11x11x1x3x4x2x2x0x4x4x0x1x1x0x0x1xNCHWxFP16xW 2025-08-14T22:20:58.2559631Z MIOpen(HIP): Error [ParseContents] Duplicate ID (ignored): ConvHipImplicitGemmGroupWrwXdlops; key: 2x64x55x55x1x11x11x1x3x4x2x2x0x4x4x0x1x1x0x0x1xNCHWxFP16xW 2025-08-14T22:20:58.2560238Z MIOpen(HIP): Error [ParseContents] Duplicate ID (ignored): ConvAsmImplicitGemmGTCDynamicWrwXdlopsNHWC; key: 2x64x55x55x1x11x11x1x3x4x2x2x0x4x4x0x1x1x0x0x1xNCHWxFP16xW 2025-08-14T22:20:58.2560822Z MIOpen(HIP): Error [ParseContents] Duplicate ID (ignored): ConvHipImplicitGemmGroupWrwXdlops; key: 2x64x55x55x1x11x11x1x3x4x2x2x0x4x4x0x1x1x0x0x1xNCHWxFP16xW 2025-08-14T22:20:58.3047607Z 2025-08-14T22:20:58.3048074Z loading model: 0it [00:09, ?it/s] 2025-08-14T22:20:58.3048465Z cuda train alexnet 2025-08-14T22:20:58.3071257Z [W814 22:20:58.193059101 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:58.3695056Z [W814 22:20:58.255252785 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:58.3696684Z [W814 22:20:58.255557980 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:58.3697681Z [W814 22:20:58.255742957 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:58.3699024Z [W814 22:20:58.255931543 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:58.4696859Z [W814 22:20:58.355269678 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:58.4698156Z [W814 22:20:58.355755830 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:58.4704043Z [W814 22:20:58.356115063 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:58.4705584Z [W814 22:20:58.356528946 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:58.4709059Z [W814 22:20:58.356870740 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:58.4882969Z [W814 22:20:58.374078690 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:58.4885979Z [W814 22:20:58.374465323 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:58.4886803Z [W814 22:20:58.374637210 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:58.4888444Z [W814 22:20:58.374793367 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:58.4892912Z [W814 22:20:58.374975024 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:58.4900689Z [W814 22:20:58.376077345 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:58.4903479Z [W814 22:20:58.376394949 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:58.4906253Z [W814 22:20:58.376689214 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:58.4909520Z [W814 22:20:58.376991879 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:58.4912520Z [W814 22:20:58.377307223 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:20:58.5338005Z E0814 22:20:58.533000 678671 site-packages/torch/_dynamo/utils.py:3120] Accuracy failed: allclose not within tol=0 2025-08-14T22:20:58.5344620Z Compilation time (from dynamo_timed): 0 2025-08-14T22:20:58.5345087Z eager_two_runs_differ 2025-08-14T22:20:58.5351823Z TIMING: total_wall_time:0 2025-08-14T22:20:58.5352021Z STATS: call_* op count: 0 2025-08-14T22:20:58.5352308Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique) 2025-08-14T22:21:01.3685981Z 2025-08-14T22:21:06.3937182Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:21:06.3937576Z loading model: 0it [00:05, ?it/s] 2025-08-14T22:21:06.3938183Z cuda train basic_gnn_edgecnn 2025-08-14T22:21:07.8914828Z W0814 22:21:07.890000 678964 site-packages/torch/_logging/_internal.py:1199] [24/0] Profiler function will be ignored 2025-08-14T22:21:08.3686724Z Compilation time (from dynamo_timed): 1.561602915 2025-08-14T22:21:08.3687172Z pass 2025-08-14T22:21:08.3706621Z TIMING: gc:0.00622 entire_frame_compile:1.55661 backend_compile:0.41562 entire_backward_compile:0.00499 total_wall_time:1.5616 2025-08-14T22:21:08.3707364Z STATS: call_* op count: 128 | FakeTensorMode.__torch_dispatch__:3865 | FakeTensor.__torch_dispatch__:324 | ProxyTorchDispatchMode.__torch_dispatch__:1560 2025-08-14T22:21:08.3708024Z Dynamo produced 8 graphs covering 128 ops with 20 graph breaks (6 unique) 2025-08-14T22:21:11.4497115Z 2025-08-14T22:21:16.6371394Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:21:16.6371887Z loading model: 0it [00:05, ?it/s] 2025-08-14T22:21:16.6372243Z cuda train basic_gnn_gcn 2025-08-14T22:21:17.5883107Z W0814 22:21:17.587000 679099 site-packages/torch/_logging/_internal.py:1199] [18/0] Profiler function will be ignored 2025-08-14T22:21:17.8932373Z Compilation time (from dynamo_timed): 0.931360428 2025-08-14T22:21:17.8932815Z pass 2025-08-14T22:21:17.8936702Z TIMING: gc:0.00543 entire_frame_compile:0.92746 backend_compile:0.28651 entire_backward_compile:0.0039 total_wall_time:0.93136 2025-08-14T22:21:17.8937131Z STATS: call_* op count: 112 | FakeTensorMode.__torch_dispatch__:2262 | FakeTensor.__torch_dispatch__:157 | ProxyTorchDispatchMode.__torch_dispatch__:916 2025-08-14T22:21:17.8937436Z Dynamo produced 10 graphs covering 112 ops with 13 graph breaks (6 unique) 2025-08-14T22:21:20.7762332Z 2025-08-14T22:21:25.8751436Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:21:25.8752048Z loading model: 0it [00:05, ?it/s] 2025-08-14T22:21:25.8752201Z cuda train basic_gnn_gin 2025-08-14T22:21:26.7139358Z W0814 22:21:26.710000 679234 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-08-14T22:21:27.1836649Z Compilation time (from dynamo_timed): 0.985667303 2025-08-14T22:21:27.1841636Z pass 2025-08-14T22:21:27.1842130Z TIMING: gc:0.0024 entire_frame_compile:0.98177 backend_compile:0.34989 entire_backward_compile:0.0039 total_wall_time:0.98567 2025-08-14T22:21:27.1842524Z STATS: call_* op count: 135 | FakeTensorMode.__torch_dispatch__:3270 | FakeTensor.__torch_dispatch__:177 | ProxyTorchDispatchMode.__torch_dispatch__:1493 2025-08-14T22:21:27.1842838Z Dynamo produced 3 graphs covering 135 ops with 7 graph breaks (5 unique) 2025-08-14T22:21:30.2865304Z 2025-08-14T22:21:35.3344825Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:21:35.3345298Z loading model: 0it [00:05, ?it/s] 2025-08-14T22:21:35.3345690Z cuda train basic_gnn_sage 2025-08-14T22:21:36.1453978Z W0814 22:21:36.144000 679369 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-08-14T22:21:36.5400482Z Compilation time (from dynamo_timed): 0.861987202 2025-08-14T22:21:36.5400753Z pass 2025-08-14T22:21:36.5401129Z TIMING: gc:0.0031 entire_frame_compile:0.85913 backend_compile:0.29206 entire_backward_compile:0.00286 total_wall_time:0.86199 2025-08-14T22:21:36.5401761Z STATS: call_* op count: 126 | FakeTensorMode.__torch_dispatch__:2678 | FakeTensor.__torch_dispatch__:143 | ProxyTorchDispatchMode.__torch_dispatch__:1176 2025-08-14T22:21:36.5402277Z Dynamo produced 3 graphs covering 126 ops with 7 graph breaks (5 unique) 2025-08-14T22:21:39.7467386Z 2025-08-14T22:21:41.1857362Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:21:41.1857614Z loading model: 0it [00:01, ?it/s] 2025-08-14T22:21:41.1862507Z cuda train dcgan 2025-08-14T22:21:41.1881226Z [W814 22:21:41.074039504 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:41.2756983Z [W814 22:21:41.161344789 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:41.2761487Z [W814 22:21:41.162043456 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:41.2763753Z [W814 22:21:41.162424420 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:41.2766187Z [W814 22:21:41.162682705 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:41.2773359Z [W814 22:21:41.163368743 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:41.4010884Z [W814 22:21:41.286676769 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:41.4015125Z [W814 22:21:41.287421846 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:41.4020965Z [W814 22:21:41.288087675 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:41.4029231Z [W814 22:21:41.288467268 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:41.4192563Z [W814 22:21:41.305115057 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:41.4194443Z [W814 22:21:41.305405372 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:41.4196318Z [W814 22:21:41.305658658 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:41.4198101Z [W814 22:21:41.305871684 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:41.4201288Z [W814 22:21:41.306113180 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:41.4208165Z [W814 22:21:41.306594252 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:41.4210145Z [W814 22:21:41.307047334 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:41.4213924Z [W814 22:21:41.307398678 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:41.4216966Z [W814 22:21:41.307765111 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:41.4221018Z [W814 22:21:41.308117985 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:42.8615026Z Compilation time (from dynamo_timed): 1.298942971 2025-08-14T22:21:42.8615479Z pass 2025-08-14T22:21:42.8622748Z TIMING: gc:0.00159 entire_frame_compile:1.29604 backend_compile:0.97212 entire_backward_compile:0.0029 total_wall_time:1.29894 2025-08-14T22:21:42.8623775Z STATS: call_* op count: 17 | FakeTensorMode.__torch_dispatch__:1144 | FakeTensor.__torch_dispatch__:27 | ProxyTorchDispatchMode.__torch_dispatch__:397 2025-08-14T22:21:42.8624654Z Dynamo produced 2 graphs covering 17 ops with 6 graph breaks (5 unique) 2025-08-14T22:21:46.1572381Z 2025-08-14T22:24:35.4641531Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:24:35.4642040Z loading model: 0it [02:49, ?it/s] 2025-08-14T22:24:35.4642396Z cuda train demucs 2025-08-14T22:24:35.4699626Z [W814 22:24:35.355829060 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.5338251Z [W814 22:24:35.419346401 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.5338965Z [W814 22:24:35.419762833 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.5340892Z [W814 22:24:35.419985759 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.5342062Z [W814 22:24:35.420242945 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.5344270Z [W814 22:24:35.420438442 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.5353536Z [W814 22:24:35.420601409 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.5353999Z [W814 22:24:35.420785695 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.5354419Z [W814 22:24:35.420946023 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.5354814Z [W814 22:24:35.421144449 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.5355210Z [W814 22:24:35.421309716 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.5355602Z [W814 22:24:35.421507733 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.6366646Z [W814 22:24:35.522513789 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.6698388Z [W814 22:24:35.554948322 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.6699849Z [W814 22:24:35.555693649 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.6701900Z [W814 22:24:35.556233290 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.6709179Z [W814 22:24:35.556927398 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.6717318Z [W814 22:24:35.557783003 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.6780510Z [W814 22:24:35.563943975 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.6790140Z [W814 22:24:35.564945967 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.6798692Z [W814 22:24:35.565825992 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.6806265Z [W814 22:24:35.566666657 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.6814737Z [W814 22:24:35.567500013 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.6823234Z [W814 22:24:35.568357438 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.8068748Z [W814 22:24:35.692652717 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.8072754Z [W814 22:24:35.693066900 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.8074771Z [W814 22:24:35.693465663 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.8078397Z [W814 22:24:35.693832636 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.8082317Z [W814 22:24:35.694222450 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.8092288Z [W814 22:24:35.694587863 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.8188458Z [W814 22:24:35.704769985 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.8192506Z [W814 22:24:35.705165808 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.8195900Z [W814 22:24:35.705557112 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.8198950Z [W814 22:24:35.705933475 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.8204063Z [W814 22:24:35.706446556 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.8208947Z [W814 22:24:35.706863969 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.8456298Z [W814 22:24:35.731416430 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.8458396Z [W814 22:24:35.731687425 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.8459090Z [W814 22:24:35.731865932 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.8464354Z [W814 22:24:35.732057979 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.8464763Z [W814 22:24:35.732222836 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.8465120Z [W814 22:24:35.732402483 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.8465471Z [W814 22:24:35.732560820 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.8466983Z [W814 22:24:35.732739957 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.8468205Z [W814 22:24:35.732902104 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.8470161Z [W814 22:24:35.733083641 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.8472259Z [W814 22:24:35.733239888 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.8473392Z [W814 22:24:35.733414585 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.9036450Z [W814 22:24:35.789513115 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.9043927Z [W814 22:24:35.790332591 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.9055489Z [W814 22:24:35.791388742 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.9063534Z [W814 22:24:35.792351956 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.9068243Z [W814 22:24:35.792848097 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.9072855Z [W814 22:24:35.793335218 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.9099704Z [W814 22:24:35.795959633 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.9108167Z [W814 22:24:35.796786518 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.9115878Z [W814 22:24:35.797590304 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.9123174Z [W814 22:24:35.798350501 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.9130672Z [W814 22:24:35.799112448 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:35.9138748Z [W814 22:24:35.799876584 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:36.0765033Z [W814 22:24:36.962281318 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:36.0767311Z [W814 22:24:36.962647641 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:36.0770264Z [W814 22:24:36.963032964 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:36.0773226Z [W814 22:24:36.963371389 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:36.0776854Z [W814 22:24:36.963733932 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:36.0780240Z [W814 22:24:36.964072516 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:36.0783837Z [W814 22:24:36.964436440 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:36.0787615Z [W814 22:24:36.964783224 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:36.0791449Z [W814 22:24:36.965172907 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:36.0794723Z [W814 22:24:36.965518461 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:36.0798611Z [W814 22:24:36.965896734 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:36.0802047Z [W814 22:24:36.966251938 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:39.6214011Z Compilation time (from dynamo_timed): 2.5421100500000002 2025-08-14T22:24:39.6226363Z pass 2025-08-14T22:24:39.6349564Z TIMING: gc:0.00526 entire_frame_compile:2.5334 backend_compile:1.48725 entire_backward_compile:0.00871 total_wall_time:2.54211 2025-08-14T22:24:39.6350694Z STATS: call_* op count: 88 | FakeTensorMode.__torch_dispatch__:4812 | FakeTensor.__torch_dispatch__:91 | ProxyTorchDispatchMode.__torch_dispatch__:1785 2025-08-14T22:24:39.6351538Z Dynamo produced 6 graphs covering 88 ops with 9 graph breaks (6 unique) 2025-08-14T22:24:42.9684358Z 2025-08-14T22:24:56.8243418Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:24:56.8243777Z loading model: 0it [00:13, ?it/s] 2025-08-14T22:24:56.8244036Z cuda train densenet121 2025-08-14T22:24:56.8597065Z [W814 22:24:56.745226243 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9233231Z [W814 22:24:56.808904081 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9234787Z [W814 22:24:56.809336113 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9238394Z [W814 22:24:56.809842205 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9242372Z [W814 22:24:56.810250877 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9251736Z [W814 22:24:56.810641821 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9252204Z [W814 22:24:56.811126652 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9255610Z [W814 22:24:56.811569244 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9258062Z [W814 22:24:56.811842260 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9261584Z [W814 22:24:56.812197154 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9264429Z [W814 22:24:56.812489968 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9267765Z [W814 22:24:56.812816433 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9270861Z [W814 22:24:56.813127517 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9274222Z [W814 22:24:56.813471551 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9277461Z [W814 22:24:56.813790096 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9279938Z [W814 22:24:56.814046151 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9288221Z [W814 22:24:56.814295137 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9288512Z [W814 22:24:56.814496463 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9288754Z [W814 22:24:56.814715700 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9289336Z [W814 22:24:56.814991445 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9292235Z [W814 22:24:56.815271200 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9294100Z [W814 22:24:56.815475536 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9297037Z [W814 22:24:56.815766551 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9299405Z [W814 22:24:56.815983787 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9302489Z [W814 22:24:56.816298842 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9304376Z [W814 22:24:56.816505668 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9307243Z [W814 22:24:56.816790063 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9311054Z [W814 22:24:56.817060359 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9312286Z [W814 22:24:56.817298094 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9315035Z [W814 22:24:56.817563610 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9317799Z [W814 22:24:56.817841985 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9319998Z [W814 22:24:56.818066501 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9322846Z [W814 22:24:56.818354306 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9324942Z [W814 22:24:56.818561962 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9328440Z [W814 22:24:56.818884967 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9330697Z [W814 22:24:56.819115693 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9333864Z [W814 22:24:56.819454157 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9339494Z [W814 22:24:56.819663013 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9339738Z [W814 22:24:56.820014167 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9342513Z [W814 22:24:56.820312292 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9344563Z [W814 22:24:56.820526538 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9347160Z [W814 22:24:56.820789013 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9349376Z [W814 22:24:56.820984620 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9351782Z [W814 22:24:56.821246575 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9353634Z [W814 22:24:56.821441352 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9355924Z [W814 22:24:56.821673008 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9357803Z [W814 22:24:56.821863525 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9360466Z [W814 22:24:56.822107070 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9362234Z [W814 22:24:56.822298297 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9365173Z [W814 22:24:56.822592152 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9367587Z [W814 22:24:56.822795418 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9370039Z [W814 22:24:56.823066584 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9371975Z [W814 22:24:56.823275910 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9374253Z [W814 22:24:56.823508216 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9376140Z [W814 22:24:56.823701583 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9379397Z [W814 22:24:56.824005607 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9381449Z [W814 22:24:56.824217314 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9384797Z [W814 22:24:56.824551458 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9389848Z [W814 22:24:56.825050859 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9395429Z [W814 22:24:56.825610859 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9400163Z [W814 22:24:56.826075851 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9404854Z [W814 22:24:56.826555693 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9407218Z [W814 22:24:56.826785569 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9410015Z [W814 22:24:56.827062964 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9412100Z [W814 22:24:56.827282360 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9415334Z [W814 22:24:56.827598815 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9417543Z [W814 22:24:56.827819951 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9420300Z [W814 22:24:56.828087506 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9422293Z [W814 22:24:56.828303912 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9425418Z [W814 22:24:56.828610787 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9427598Z [W814 22:24:56.828831033 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9430609Z [W814 22:24:56.829129788 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9432712Z [W814 22:24:56.829343044 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9435795Z [W814 22:24:56.829651409 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9438034Z [W814 22:24:56.829867705 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9440643Z [W814 22:24:56.830134990 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9443208Z [W814 22:24:56.830395206 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9446436Z [W814 22:24:56.830713140 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9449308Z [W814 22:24:56.830986455 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9451897Z [W814 22:24:56.831265330 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9455774Z [W814 22:24:56.831520956 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9457564Z [W814 22:24:56.831824311 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9460288Z [W814 22:24:56.832097886 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9463383Z [W814 22:24:56.832412930 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9466090Z [W814 22:24:56.832680326 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9468687Z [W814 22:24:56.832936081 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9471317Z [W814 22:24:56.833200707 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9474456Z [W814 22:24:56.833517711 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9477626Z [W814 22:24:56.833832686 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9480151Z [W814 22:24:56.834083291 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9484488Z [W814 22:24:56.834376416 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9485001Z [W814 22:24:56.834590462 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9488067Z [W814 22:24:56.834868957 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9490147Z [W814 22:24:56.835087494 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9492835Z [W814 22:24:56.835361719 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9495010Z [W814 22:24:56.835575775 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9497695Z [W814 22:24:56.835840991 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9500002Z [W814 22:24:56.836057407 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9502282Z [W814 22:24:56.836277593 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9504181Z [W814 22:24:56.836499329 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9506437Z [W814 22:24:56.836728315 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9508334Z [W814 22:24:56.836923072 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9510523Z [W814 22:24:56.837150628 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9514066Z [W814 22:24:56.837341514 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9515461Z [W814 22:24:56.837555501 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9517054Z [W814 22:24:56.837773507 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9519823Z [W814 22:24:56.838051182 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9522428Z [W814 22:24:56.838319907 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9525608Z [W814 22:24:56.838646132 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9528884Z [W814 22:24:56.838947106 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9531973Z [W814 22:24:56.839276841 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9534924Z [W814 22:24:56.839565265 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9538667Z [W814 22:24:56.839903860 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9544533Z [W814 22:24:56.840502509 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9552102Z [W814 22:24:56.841203317 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9557665Z [W814 22:24:56.841805036 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9560372Z [W814 22:24:56.842093491 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9562771Z [W814 22:24:56.842355187 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9565695Z [W814 22:24:56.842648202 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:56.9568504Z [W814 22:24:56.842907667 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0113856Z [W814 22:24:57.897024872 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0640257Z [W814 22:24:57.949583674 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0645366Z [W814 22:24:57.950409859 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0648200Z [W814 22:24:57.950772423 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0652368Z [W814 22:24:57.951288504 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0655596Z [W814 22:24:57.951618258 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0661252Z [W814 22:24:57.952188048 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0664530Z [W814 22:24:57.952519993 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0668479Z [W814 22:24:57.952915486 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0671846Z [W814 22:24:57.953250430 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0676609Z [W814 22:24:57.953726882 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0680034Z [W814 22:24:57.954065426 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0683667Z [W814 22:24:57.954441889 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0687006Z [W814 22:24:57.954766463 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0693631Z [W814 22:24:57.955250755 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0695210Z [W814 22:24:57.955579819 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0698754Z [W814 22:24:57.955945643 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0702155Z [W814 22:24:57.956277227 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0706532Z [W814 22:24:57.956725009 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0710000Z [W814 22:24:57.957060263 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0713406Z [W814 22:24:57.957415217 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0716767Z [W814 22:24:57.957736392 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0720960Z [W814 22:24:57.958166944 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0724227Z [W814 22:24:57.958495608 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0728638Z [W814 22:24:57.958907821 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0731870Z [W814 22:24:57.959249575 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0735186Z [W814 22:24:57.959594729 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0738529Z [W814 22:24:57.959917743 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0742412Z [W814 22:24:57.960291397 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0746326Z [W814 22:24:57.960614491 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0748859Z [W814 22:24:57.960951895 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0752106Z [W814 22:24:57.961283250 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0757518Z [W814 22:24:57.961652883 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0761003Z [W814 22:24:57.962158254 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0769698Z [W814 22:24:57.963034869 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0778827Z [W814 22:24:57.963940623 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0783241Z [W814 22:24:57.964299097 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0787424Z [W814 22:24:57.964773009 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0790616Z [W814 22:24:57.965119053 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0795111Z [W814 22:24:57.965576165 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0798478Z [W814 22:24:57.965909239 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0802973Z [W814 22:24:57.966366021 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0806275Z [W814 22:24:57.966695225 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0811209Z [W814 22:24:57.967163907 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0814212Z [W814 22:24:57.967494241 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0818785Z [W814 22:24:57.967932713 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0821999Z [W814 22:24:57.968273217 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0828062Z [W814 22:24:57.968728009 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0830035Z [W814 22:24:57.969061354 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0834220Z [W814 22:24:57.969491146 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0837434Z [W814 22:24:57.969818560 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0841863Z [W814 22:24:57.970250763 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0844986Z [W814 22:24:57.970578267 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0849551Z [W814 22:24:57.971007590 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0852689Z [W814 22:24:57.971340594 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0856755Z [W814 22:24:57.971741307 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0860046Z [W814 22:24:57.972069161 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0863795Z [W814 22:24:57.972451004 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0866927Z [W814 22:24:57.972768279 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0870844Z [W814 22:24:57.973159392 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0873996Z [W814 22:24:57.973478127 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0877766Z [W814 22:24:57.973851710 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0882224Z [W814 22:24:57.974281413 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0891002Z [W814 22:24:57.975148507 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0898124Z [W814 22:24:57.975843645 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0902192Z [W814 22:24:57.976259228 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0905333Z [W814 22:24:57.976605032 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0909273Z [W814 22:24:57.976993315 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0912760Z [W814 22:24:57.977341999 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0916545Z [W814 22:24:57.977728542 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0919984Z [W814 22:24:57.978074496 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0923962Z [W814 22:24:57.978475099 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0927357Z [W814 22:24:57.978809023 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0931384Z [W814 22:24:57.979192547 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0934432Z [W814 22:24:57.979523661 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0938136Z [W814 22:24:57.979887375 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0941452Z [W814 22:24:57.980225379 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0945046Z [W814 22:24:57.980582562 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0949844Z [W814 22:24:57.980918207 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0952021Z [W814 22:24:57.981274800 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0955216Z [W814 22:24:57.981605135 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0959120Z [W814 22:24:57.981977868 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0962918Z [W814 22:24:57.982374191 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0966946Z [W814 22:24:57.982770314 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0971573Z [W814 22:24:57.983228586 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0974804Z [W814 22:24:57.983562880 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0978830Z [W814 22:24:57.983957034 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0982249Z [W814 22:24:57.984301438 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0986098Z [W814 22:24:57.984688491 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0989512Z [W814 22:24:57.985029695 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0993224Z [W814 22:24:57.985410388 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.0996602Z [W814 22:24:57.985740092 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1001641Z [W814 22:24:57.986111556 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1003591Z [W814 22:24:57.986439770 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1007236Z [W814 22:24:57.986794734 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1010548Z [W814 22:24:57.987129548 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1014477Z [W814 22:24:57.987531791 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1021462Z [W814 22:24:57.988211359 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1030511Z [W814 22:24:57.989131413 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1033970Z [W814 22:24:57.989480127 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1037782Z [W814 22:24:57.989862640 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1041342Z [W814 22:24:57.990213474 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1044953Z [W814 22:24:57.990583418 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1048766Z [W814 22:24:57.990934532 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1052335Z [W814 22:24:57.991305685 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1055641Z [W814 22:24:57.991646719 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1059682Z [W814 22:24:57.992040512 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1064730Z [W814 22:24:57.992553043 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1069462Z [W814 22:24:57.993028335 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1073470Z [W814 22:24:57.993429638 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1076780Z [W814 22:24:57.993763882 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1080649Z [W814 22:24:57.994143356 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1083898Z [W814 22:24:57.994475800 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1089211Z [W814 22:24:57.994850023 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1091152Z [W814 22:24:57.995191317 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1094616Z [W814 22:24:57.995546431 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1097971Z [W814 22:24:57.995877095 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1101708Z [W814 22:24:57.996240569 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1104892Z [W814 22:24:57.996575003 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1109632Z [W814 22:24:57.997042505 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1306366Z [W814 22:24:57.016621943 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1315452Z [W814 22:24:57.017414099 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1316135Z [W814 22:24:57.017658945 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1320653Z [W814 22:24:57.017983209 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1320940Z [W814 22:24:57.018197405 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1323349Z [W814 22:24:57.018425321 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1325313Z [W814 22:24:57.018623608 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1327685Z [W814 22:24:57.018859554 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1329876Z [W814 22:24:57.019065530 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1331985Z [W814 22:24:57.019292436 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1333841Z [W814 22:24:57.019485323 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1335963Z [W814 22:24:57.019704459 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1338104Z [W814 22:24:57.019898246 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1340499Z [W814 22:24:57.020143471 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1342903Z [W814 22:24:57.020387107 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1344783Z [W814 22:24:57.020582834 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1347046Z [W814 22:24:57.020811190 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1348922Z [W814 22:24:57.021008736 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1351356Z [W814 22:24:57.021230293 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1353342Z [W814 22:24:57.021438869 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1355577Z [W814 22:24:57.021666175 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1357967Z [W814 22:24:57.021890351 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1363899Z [W814 22:24:57.022467011 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1366574Z [W814 22:24:57.022738136 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1369361Z [W814 22:24:57.022995302 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1371158Z [W814 22:24:57.023211628 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1373592Z [W814 22:24:57.023449344 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1376840Z [W814 22:24:57.023649280 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1377813Z [W814 22:24:57.023880326 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1379891Z [W814 22:24:57.024087573 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1382173Z [W814 22:24:57.024319569 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1384126Z [W814 22:24:57.024516285 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1386514Z [W814 22:24:57.024746731 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1388401Z [W814 22:24:57.024940068 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1390976Z [W814 22:24:57.025179163 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1392733Z [W814 22:24:57.025376350 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1395099Z [W814 22:24:57.025611236 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1398262Z [W814 22:24:57.025807393 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1399707Z [W814 22:24:57.026061828 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1401915Z [W814 22:24:57.026300484 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1403865Z [W814 22:24:57.026495241 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1406487Z [W814 22:24:57.026746956 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1408624Z [W814 22:24:57.026948283 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1410894Z [W814 22:24:57.027198348 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1412895Z [W814 22:24:57.027389055 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1415901Z [W814 22:24:57.027622431 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1417376Z [W814 22:24:57.027807058 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1419886Z [W814 22:24:57.028049633 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1421620Z [W814 22:24:57.028236620 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1423626Z [W814 22:24:57.028465256 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1425591Z [W814 22:24:57.028653343 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1428074Z [W814 22:24:57.028884749 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1429807Z [W814 22:24:57.029089295 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1432198Z [W814 22:24:57.029320581 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1434047Z [W814 22:24:57.029506958 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1436300Z [W814 22:24:57.029733604 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1438222Z [W814 22:24:57.029920521 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1440522Z [W814 22:24:57.030161706 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1442319Z [W814 22:24:57.030347363 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1444667Z [W814 22:24:57.030573549 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1446653Z [W814 22:24:57.030758756 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1451866Z [W814 22:24:57.031014242 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1452468Z [W814 22:24:57.031209488 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1453737Z [W814 22:24:57.031452894 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1456292Z [W814 22:24:57.031692590 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1459103Z [W814 22:24:57.031969765 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1461238Z [W814 22:24:57.032194271 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1463889Z [W814 22:24:57.032465206 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1466011Z [W814 22:24:57.032682322 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1468981Z [W814 22:24:57.032956468 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1471213Z [W814 22:24:57.033180544 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1476008Z [W814 22:24:57.033450969 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1477248Z [W814 22:24:57.033669335 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1478970Z [W814 22:24:57.033953130 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1484080Z [W814 22:24:57.034424872 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1490752Z [W814 22:24:57.035115070 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1495982Z [W814 22:24:57.035661090 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1500832Z [W814 22:24:57.036125812 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1503123Z [W814 22:24:57.036376628 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1506503Z [W814 22:24:57.036711472 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1509262Z [W814 22:24:57.036969798 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1519008Z [W814 22:24:57.037299882 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1519661Z [W814 22:24:57.037564527 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1520060Z [W814 22:24:57.037963840 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1522615Z [W814 22:24:57.038310944 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1525776Z [W814 22:24:57.038643618 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1528630Z [W814 22:24:57.038909754 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1532334Z [W814 22:24:57.039275987 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1535185Z [W814 22:24:57.039579732 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1537771Z [W814 22:24:57.039844077 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1541045Z [W814 22:24:57.040161772 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1543404Z [W814 22:24:57.040411097 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1546793Z [W814 22:24:57.040738702 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1550184Z [W814 22:24:57.041075766 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1553240Z [W814 22:24:57.041383750 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1555704Z [W814 22:24:57.041637096 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1559015Z [W814 22:24:57.041930311 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1561768Z [W814 22:24:57.042192886 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1564153Z [W814 22:24:57.042470742 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1566609Z [W814 22:24:57.042719787 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1569963Z [W814 22:24:57.043032902 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1571984Z [W814 22:24:57.043268908 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1575101Z [W814 22:24:57.043572502 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1577519Z [W814 22:24:57.043821398 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1580814Z [W814 22:24:57.044127503 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1585814Z [W814 22:24:57.044371168 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1586424Z [W814 22:24:57.044701313 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1589480Z [W814 22:24:57.045018557 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1592249Z [W814 22:24:57.045298132 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1594479Z [W814 22:24:57.045526088 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1597156Z [W814 22:24:57.045792853 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1599544Z [W814 22:24:57.046028829 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1602160Z [W814 22:24:57.046290785 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1604254Z [W814 22:24:57.046504481 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1606991Z [W814 22:24:57.046759107 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1610818Z [W814 22:24:57.046987093 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1611899Z [W814 22:24:57.047250368 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1614607Z [W814 22:24:57.047529333 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1617604Z [W814 22:24:57.047823528 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1620223Z [W814 22:24:57.048075824 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1639810Z [W814 22:24:57.050016510 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1643195Z [W814 22:24:57.050403593 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1648133Z [W814 22:24:57.050869335 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1651323Z [W814 22:24:57.051218139 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1655498Z [W814 22:24:57.051624432 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1661622Z [W814 22:24:57.051989295 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1663447Z [W814 22:24:57.052426568 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1669368Z [W814 22:24:57.053020807 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1673597Z [W814 22:24:57.053436540 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1676890Z [W814 22:24:57.053782234 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1681084Z [W814 22:24:57.054179037 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1684344Z [W814 22:24:57.054526191 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1688428Z [W814 22:24:57.054920584 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1691959Z [W814 22:24:57.055276788 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1695738Z [W814 22:24:57.055662091 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1699276Z [W814 22:24:57.056007805 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1703060Z [W814 22:24:57.056380699 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1706280Z [W814 22:24:57.056715073 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1710239Z [W814 22:24:57.057089846 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1713304Z [W814 22:24:57.057424530 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1716973Z [W814 22:24:57.057787304 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1720435Z [W814 22:24:57.058127808 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1724020Z [W814 22:24:57.058490422 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1727362Z [W814 22:24:57.058831236 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1731145Z [W814 22:24:57.059193379 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1734393Z [W814 22:24:57.059533433 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1738024Z [W814 22:24:57.059881287 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1741383Z [W814 22:24:57.060226931 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1744850Z [W814 22:24:57.060573895 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1749802Z [W814 22:24:57.060910969 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1751722Z [W814 22:24:57.061255033 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1754910Z [W814 22:24:57.061581818 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1758382Z [W814 22:24:57.061923702 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1762061Z [W814 22:24:57.062283635 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1765265Z [W814 22:24:57.062616520 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1770068Z [W814 22:24:57.063080992 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1773228Z [W814 22:24:57.063405636 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1777316Z [W814 22:24:57.063822259 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1782504Z [W814 22:24:57.064335240 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1793857Z [W814 22:24:57.065347282 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1797749Z [W814 22:24:57.065853353 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1802306Z [W814 22:24:57.066305925 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1805574Z [W814 22:24:57.066645829 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1810348Z [W814 22:24:57.067104771 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1813668Z [W814 22:24:57.067440565 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1817999Z [W814 22:24:57.067865848 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1821500Z [W814 22:24:57.068216572 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1825560Z [W814 22:24:57.068634315 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1828930Z [W814 22:24:57.068971159 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1833148Z [W814 22:24:57.069403741 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1836604Z [W814 22:24:57.069738555 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1840693Z [W814 22:24:57.070155348 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1844049Z [W814 22:24:57.070492352 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1848409Z [W814 22:24:57.070907355 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1851890Z [W814 22:24:57.071256889 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1855712Z [W814 22:24:57.071650842 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1859199Z [W814 22:24:57.071981546 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1862993Z [W814 22:24:57.072382329 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1866359Z [W814 22:24:57.072712843 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1870250Z [W814 22:24:57.073104296 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1874815Z [W814 22:24:57.073436991 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1877400Z [W814 22:24:57.073818584 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1880746Z [W814 22:24:57.074154698 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1884418Z [W814 22:24:57.074528172 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1887955Z [W814 22:24:57.074860856 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1891638Z [W814 22:24:57.075242719 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1894843Z [W814 22:24:57.075567243 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1898384Z [W814 22:24:57.075916557 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1903875Z [W814 22:24:57.076455438 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1911939Z [W814 22:24:57.077273584 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1918714Z [W814 22:24:57.077936492 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1922294Z [W814 22:24:57.078315465 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1925748Z [W814 22:24:57.078656549 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1930945Z [W814 22:24:57.079029653 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1932882Z [W814 22:24:57.079363397 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1936200Z [W814 22:24:57.079708541 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1939819Z [W814 22:24:57.080049325 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1943046Z [W814 22:24:57.080390379 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1946467Z [W814 22:24:57.080732963 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1949882Z [W814 22:24:57.081075667 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1953309Z [W814 22:24:57.081414091 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1956667Z [W814 22:24:57.081755745 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1960443Z [W814 22:24:57.082112849 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1963789Z [W814 22:24:57.082468973 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1968090Z [W814 22:24:57.082883806 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1971555Z [W814 22:24:57.083233280 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1975328Z [W814 22:24:57.083613973 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1978693Z [W814 22:24:57.083947877 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1982497Z [W814 22:24:57.084333060 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1985765Z [W814 22:24:57.084666325 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1989780Z [W814 22:24:57.085045188 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1992918Z [W814 22:24:57.085380152 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1996546Z [W814 22:24:57.085738026 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.1999925Z [W814 22:24:57.086076510 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.2004769Z [W814 22:24:57.086434384 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.2007049Z [W814 22:24:57.086760538 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.2010920Z [W814 22:24:57.087133931 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.2013927Z [W814 22:24:57.087465326 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.2017398Z [W814 22:24:57.087810430 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.2020903Z [W814 22:24:57.088148944 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.2024217Z [W814 22:24:57.088493358 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.2027453Z [W814 22:24:57.088823122 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.2031822Z [W814 22:24:57.089218505 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.2038103Z [W814 22:24:57.089889823 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.2048347Z [W814 22:24:57.090658120 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.2051122Z [W814 22:24:57.091167161 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.2054519Z [W814 22:24:57.091520895 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.2057985Z [W814 22:24:57.091862899 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.2061713Z [W814 22:24:57.092224802 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.2065188Z [W814 22:24:57.092588816 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.2068738Z [W814 22:24:57.092926890 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.2072431Z [W814 22:24:57.093285674 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.2075734Z [W814 22:24:57.093620758 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.2079197Z [W814 22:24:57.093966882 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.2082522Z [W814 22:24:57.094312566 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.2085824Z [W814 22:24:57.094655780 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.2089609Z [W814 22:24:57.094997994 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.2092730Z [W814 22:24:57.095342588 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.2096312Z [W814 22:24:57.095677692 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:24:57.2100298Z [W814 22:24:57.096099795 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:12.1213463Z Compilation time (from dynamo_timed): 14.229678411 2025-08-14T22:25:12.1288814Z pass 2025-08-14T22:25:12.1309188Z TIMING: gc:0.00215 entire_frame_compile:14.15443 backend_compile:7.39558 entire_backward_compile:0.07525 total_wall_time:14.22968 2025-08-14T22:25:12.1309893Z STATS: call_* op count: 435 | FakeTensorMode.__torch_dispatch__:35854 | FakeTensor.__torch_dispatch__:26 | ProxyTorchDispatchMode.__torch_dispatch__:17230 2025-08-14T22:25:12.1310206Z Dynamo produced 2 graphs covering 435 ops with 6 graph breaks (5 unique) 2025-08-14T22:25:17.0239891Z 2025-08-14T22:25:17.1485949Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_alloc' 2025-08-14T22:25:17.1486859Z what(): std::bad_alloc 2025-08-14T22:25:17.2497203Z Run failed with return code: -6 2025-08-14T22:25:17.2498889Z Output: None 2025-08-14T22:25:17.2499266Z Error: None 2025-08-14T22:25:18.9814698Z 2025-08-14T22:25:26.8532647Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:25:26.8533194Z loading model: 0it [00:07, ?it/s] 2025-08-14T22:25:26.8533542Z cuda train dlrm 2025-08-14T22:25:28.6857754Z Compilation time (from dynamo_timed): 1.4771040190000002 2025-08-14T22:25:28.6858195Z pass 2025-08-14T22:25:28.6907972Z TIMING: gc:0.00206 entire_frame_compile:1.47213 backend_compile:1.03333 entire_backward_compile:0.00498 total_wall_time:1.4771 2025-08-14T22:25:28.6908588Z STATS: call_* op count: 40 | FakeTensorMode.__torch_dispatch__:2411 | FakeTensor.__torch_dispatch__:34 | ProxyTorchDispatchMode.__torch_dispatch__:997 2025-08-14T22:25:28.6909058Z Dynamo produced 2 graphs covering 40 ops with 6 graph breaks (5 unique) 2025-08-14T22:25:31.8871360Z 2025-08-14T22:25:31.9175730Z loading model: 0it [00:00, ?it/s]Gym has been unmaintained since 2022 and does not support NumPy 2.0 amongst other critical functionality. 2025-08-14T22:25:31.9176913Z Please upgrade to Gymnasium, the maintained drop-in replacement of Gym, or contact the authors of your software and request that they upgrade. 2025-08-14T22:25:31.9178673Z 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. 2025-08-14T22:25:31.9179655Z See the migration guide at https://gymnasium.farama.org/introduction/migration_guide/ for additional information. 2025-08-14T22:25:42.0197350Z 2025-08-14T22:25:42.0198518Z loading model: 0it [00:10, ?it/s] 2025-08-14T22:25:42.0199032Z cuda train drq 2025-08-14T22:25:42.0225097Z [W814 22:25:42.908118918 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:42.0842135Z [W814 22:25:42.969844539 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:42.0842859Z [W814 22:25:42.970234893 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:42.0845020Z [W814 22:25:42.970362141 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:42.1365722Z [W814 22:25:42.022389002 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:42.1797302Z [W814 22:25:42.065372331 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:42.1798171Z [W814 22:25:42.065593927 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:42.1798876Z [W814 22:25:42.065742195 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:42.2147810Z [W814 22:25:42.100550528 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:42.2150145Z [W814 22:25:42.100883731 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:42.2150822Z [W814 22:25:42.100965709 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:42.2151782Z [W814 22:25:42.101089358 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:42.2166475Z [W814 22:25:42.102578792 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:42.2166788Z [W814 22:25:42.102735698 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:42.2168565Z [W814 22:25:42.102880956 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:42.2169791Z [W814 22:25:42.103020893 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:25:43.5336425Z W0814 22:25:43.532000 680874 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-08-14T22:25:44.8161571Z Compilation time (from dynamo_timed): 2.447862325 2025-08-14T22:25:44.8161966Z pass 2025-08-14T22:25:44.8167311Z TIMING: gc:0.0033 entire_frame_compile:2.43865 backend_compile:1.49043 entire_backward_compile:0.00921 total_wall_time:2.44786 2025-08-14T22:25:44.8168642Z STATS: call_* op count: 174 | FakeTensor.__torch_dispatch__:343 | FakeTensorMode.__torch_dispatch__:5931 | ProxyTorchDispatchMode.__torch_dispatch__:2708 2025-08-14T22:25:44.8169134Z Dynamo produced 5 graphs covering 174 ops with 7 graph breaks (5 unique) 2025-08-14T22:25:48.3622846Z 2025-08-14T22:25:54.5114197Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:25:54.5114527Z loading model: 0it [00:06, ?it/s] 2025-08-14T22:25:54.5114749Z cuda train fastNLP_Bert 2025-08-14T22:25:55.0981307Z W0814 22:25:55.097000 681633 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break from `Tensor.item()`, consider setting: 2025-08-14T22:25:55.0981739Z W0814 22:25:55.097000 681633 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] torch._dynamo.config.capture_scalar_outputs = True 2025-08-14T22:25:55.0982095Z W0814 22:25:55.097000 681633 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] or: 2025-08-14T22:25:55.0982725Z W0814 22:25:55.097000 681633 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-08-14T22:25:55.0983076Z W0814 22:25:55.097000 681633 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] to include these operations in the captured graph. 2025-08-14T22:25:55.0983373Z W0814 22:25:55.097000 681633 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-08-14T22:25:55.1004334Z W0814 22:25:55.097000 681633 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break: from user code at: 2025-08-14T22:25:55.1004990Z W0814 22:25:55.097000 681633 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 2025-08-14T22:25:55.1005501Z W0814 22:25:55.097000 681633 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] pred = mod(*cloned_inputs) 2025-08-14T22:25:55.1006121Z W0814 22:25:55.097000 681633 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 2025-08-14T22:25:55.1006576Z W0814 22:25:55.097000 681633 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] sequence_output = self.bert(words) 2025-08-14T22:25:55.1007046Z W0814 22:25:55.097000 681633 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 2025-08-14T22:25:55.1007557Z W0814 22:25:55.097000 681633 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] outputs = self.model(words) 2025-08-14T22:25:55.1008126Z W0814 22:25:55.097000 681633 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 2025-08-14T22:25:55.1009220Z W0814 22:25:55.097000 681633 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) 2025-08-14T22:25:55.1009628Z W0814 22:25:55.097000 681633 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-08-14T22:25:55.1009968Z W0814 22:25:55.097000 681633 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-08-14T22:26:01.1730081Z Compilation time (from dynamo_timed): 5.586213358 2025-08-14T22:26:01.1748057Z pass 2025-08-14T22:26:01.1969612Z TIMING: gc:0.00608 entire_frame_compile:5.54167 backend_compile:3.55342 entire_backward_compile:0.04454 total_wall_time:5.58621 2025-08-14T22:26:01.1970676Z STATS: call_* op count: 448 | FakeTensorMode.__torch_dispatch__:24265 | ProxyTorchDispatchMode.__torch_dispatch__:13709 | FakeTensor.__torch_dispatch__:131 2025-08-14T22:26:01.1971600Z Dynamo produced 7 graphs covering 448 ops with 10 graph breaks (6 unique) 2025-08-14T22:26:04.7830311Z 2025-08-14T22:26:09.9954799Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:26:09.9955139Z loading model: 0it [00:05, ?it/s] 2025-08-14T22:26:09.9955419Z cuda train functorch_dp_cifar10 2025-08-14T22:26:10.0005027Z [W814 22:26:09.886113772 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.0635947Z [W814 22:26:10.949210470 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.0637854Z [W814 22:26:10.949549674 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.0639900Z [W814 22:26:10.949797400 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.0640589Z [W814 22:26:10.950018236 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.0649209Z [W814 22:26:10.950244382 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.0649789Z [W814 22:26:10.950461168 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.0650618Z [W814 22:26:10.950683744 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.0651115Z [W814 22:26:10.950944980 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.0651531Z [W814 22:26:10.951163466 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.0653227Z [W814 22:26:10.951377772 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.0655861Z [W814 22:26:10.951632508 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.0658012Z [W814 22:26:10.951850674 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.0660346Z [W814 22:26:10.952091930 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.0662395Z [W814 22:26:10.952313986 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.0666557Z [W814 22:26:10.952538692 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.0666989Z [W814 22:26:10.952773358 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.0669548Z [W814 22:26:10.952996764 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.0671692Z [W814 22:26:10.953241390 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.0673828Z [W814 22:26:10.953449786 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.1169106Z [W814 22:26:10.002662016 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.1495731Z [W814 22:26:10.035382385 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.1499285Z [W814 22:26:10.035846007 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.1502371Z [W814 22:26:10.036253750 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.1508664Z [W814 22:26:10.036654543 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.1510878Z [W814 22:26:10.037116695 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.1514518Z [W814 22:26:10.037505808 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.1518987Z [W814 22:26:10.037935620 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.1522793Z [W814 22:26:10.038334753 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.1526407Z [W814 22:26:10.038684027 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.1530738Z [W814 22:26:10.039108520 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.1534354Z [W814 22:26:10.039481753 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.1537798Z [W814 22:26:10.039840267 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.1541926Z [W814 22:26:10.040230610 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.1546747Z [W814 22:26:10.040579664 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.1549582Z [W814 22:26:10.040993247 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.1553561Z [W814 22:26:10.041374950 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.1556896Z [W814 22:26:10.041732404 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.1560517Z [W814 22:26:10.042089428 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.1564307Z [W814 22:26:10.042477901 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.1963170Z [W814 22:26:10.082089369 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.1968299Z [W814 22:26:10.082667879 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.1968995Z [W814 22:26:10.082924895 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.1971445Z [W814 22:26:10.083180640 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.1973263Z [W814 22:26:10.083395246 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.1975778Z [W814 22:26:10.083613813 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.1977632Z [W814 22:26:10.083823679 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.1979817Z [W814 22:26:10.084044325 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.1982030Z [W814 22:26:10.084277331 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.1984002Z [W814 22:26:10.084487667 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.1986126Z [W814 22:26:10.084704453 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.1988741Z [W814 22:26:10.084940069 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.1991383Z [W814 22:26:10.085207565 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.1993550Z [W814 22:26:10.085430001 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.1995746Z [W814 22:26:10.085654047 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.2001429Z [W814 22:26:10.085883153 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.2001676Z [W814 22:26:10.086116349 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.2004475Z [W814 22:26:10.086328275 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.2005307Z [W814 22:26:10.086534201 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.2006719Z [W814 22:26:10.086745168 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.2019929Z [W814 22:26:10.088020686 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.2023560Z [W814 22:26:10.088418909 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.2027257Z [W814 22:26:10.088798212 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.2031565Z [W814 22:26:10.089207635 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.2036689Z [W814 22:26:10.089736426 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.2042594Z [W814 22:26:10.090151518 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.2044626Z [W814 22:26:10.090533092 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.2048696Z [W814 22:26:10.090922335 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.2052379Z [W814 22:26:10.091303938 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.2055993Z [W814 22:26:10.091671712 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.2060200Z [W814 22:26:10.092066985 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.2063770Z [W814 22:26:10.092437248 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.2067413Z [W814 22:26:10.092813222 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.2071467Z [W814 22:26:10.093195185 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.2075038Z [W814 22:26:10.093563939 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.2080485Z [W814 22:26:10.093948162 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.2082862Z [W814 22:26:10.094329275 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.2086469Z [W814 22:26:10.094706069 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.2090534Z [W814 22:26:10.095092832 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:10.2095378Z [W814 22:26:10.095591083 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:12.5909619Z W0814 22:26:12.589000 681927 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-08-14T22:26:15.3765400Z Compilation time (from dynamo_timed): 4.9157114779999995 2025-08-14T22:26:15.3766819Z pass 2025-08-14T22:26:15.3797130Z TIMING: gc:0.00433 entire_frame_compile:4.90607 backend_compile:2.88068 entire_backward_compile:0.00964 total_wall_time:4.91571 2025-08-14T22:26:15.3797606Z STATS: call_* op count: 402 | FakeTensorMode.__torch_dispatch__:13101 | FakeTensor.__torch_dispatch__:881 | ProxyTorchDispatchMode.__torch_dispatch__:5903 2025-08-14T22:26:15.3798115Z Dynamo produced 3 graphs covering 402 ops with 7 graph breaks (5 unique) 2025-08-14T22:26:18.8312561Z 2025-08-14T22:26:24.2677781Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:26:24.2678297Z loading model: 0it [00:05, ?it/s] 2025-08-14T22:26:24.2684048Z cuda train functorch_maml_omniglot 2025-08-14T22:26:24.2702214Z [W814 22:26:24.156194285 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:24.3553763Z [W814 22:26:24.241119262 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:24.3557056Z [W814 22:26:24.241716660 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:24.4121630Z [W814 22:26:24.297989528 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:24.4474649Z [W814 22:26:24.333261832 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:24.4479682Z [W814 22:26:24.333802152 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:24.4837742Z [W814 22:26:24.369698676 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:24.4843226Z [W814 22:26:24.370324505 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:24.4845585Z [W814 22:26:24.370622800 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:24.4860851Z [W814 22:26:24.371595123 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:24.4861143Z [W814 22:26:24.372074123 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:24.4865525Z [W814 22:26:24.372623954 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:26:25.7710420Z W0814 22:26:25.769000 682221 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-08-14T22:26:26.6325643Z Compilation time (from dynamo_timed): 1.995051784 2025-08-14T22:26:26.6325982Z pass 2025-08-14T22:26:26.6333191Z TIMING: gc:0.00221 entire_frame_compile:1.99199 backend_compile:1.39564 entire_backward_compile:0.00307 total_wall_time:1.99505 2025-08-14T22:26:26.6334122Z STATS: call_* op count: 107 | FakeTensor.__torch_dispatch__:218 | FakeTensorMode.__torch_dispatch__:2861 | ProxyTorchDispatchMode.__torch_dispatch__:1218 2025-08-14T22:26:26.6334440Z Dynamo produced 3 graphs covering 107 ops with 7 graph breaks (5 unique) 2025-08-14T22:26:30.2410055Z 2025-08-14T22:26:35.2489822Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:26:35.2490223Z loading model: 0it [00:05, ?it/s] 2025-08-14T22:26:35.2490521Z cuda train hf_Albert 2025-08-14T22:26:40.6487631Z W0814 22:26:40.647000 682515 site-packages/torch/_logging/_internal.py:1199] [5/0] Profiler function will be ignored 2025-08-14T22:26:41.6236746Z Compilation time (from dynamo_timed): 5.677767799000001 2025-08-14T22:26:41.6245243Z pass 2025-08-14T22:26:41.6305850Z TIMING: gc:0.00326 entire_frame_compile:5.63402 backend_compile:3.44078 entire_backward_compile:0.04375 total_wall_time:5.67777 2025-08-14T22:26:41.6306748Z STATS: call_* op count: 532 | FakeTensorMode.__torch_dispatch__:25281 | FakeTensor.__torch_dispatch__:459 | ProxyTorchDispatchMode.__torch_dispatch__:13511 2025-08-14T22:26:41.6307371Z Dynamo produced 3 graphs covering 532 ops with 6 graph breaks (5 unique) 2025-08-14T22:26:45.3699547Z 2025-08-14T22:26:52.5614598Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:26:52.5615075Z loading model: 0it [00:07, ?it/s] 2025-08-14T22:26:52.5615412Z cuda train hf_Bart 2025-08-14T22:27:00.6155419Z W0814 22:27:00.614000 682809 site-packages/torch/_logging/_internal.py:1199] [5/0] Profiler function will be ignored 2025-08-14T22:27:10.1200446Z Compilation time (from dynamo_timed): 16.602630727 2025-08-14T22:27:10.1218297Z pass 2025-08-14T22:27:10.1332799Z TIMING: gc:0.00455 entire_frame_compile:16.55778 backend_compile:8.57591 entire_backward_compile:0.04485 total_wall_time:16.60263 2025-08-14T22:27:10.1333431Z STATS: call_* op count: 1830 | FakeTensorMode.__torch_dispatch__:58356 | FakeTensor.__torch_dispatch__:3200 | ProxyTorchDispatchMode.__torch_dispatch__:28073 2025-08-14T22:27:10.1333915Z Dynamo produced 3 graphs covering 1830 ops with 6 graph breaks (5 unique) 2025-08-14T22:27:14.6632184Z 2025-08-14T22:27:20.9699660Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:27:20.9700027Z loading model: 0it [00:06, ?it/s] 2025-08-14T22:27:20.9700264Z cuda train hf_Bert 2025-08-14T22:27:27.4891241Z W0814 22:27:27.487000 683103 site-packages/torch/_logging/_internal.py:1199] [5/0] Profiler function will be ignored 2025-08-14T22:27:35.0277064Z Compilation time (from dynamo_timed): 13.15960995 2025-08-14T22:27:35.0290631Z pass 2025-08-14T22:27:35.0439780Z TIMING: gc:0.00665 entire_frame_compile:13.12628 backend_compile:6.72767 entire_backward_compile:0.03333 total_wall_time:13.15961 2025-08-14T22:27:35.0440983Z STATS: call_* op count: 1322 | FakeTensorMode.__torch_dispatch__:43850 | FakeTensor.__torch_dispatch__:2516 | ProxyTorchDispatchMode.__torch_dispatch__:21113 2025-08-14T22:27:35.0441476Z Dynamo produced 3 graphs covering 1322 ops with 6 graph breaks (5 unique) 2025-08-14T22:27:38.9256579Z 2025-08-14T22:27:46.6745887Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:27:46.6755031Z loading model: 0it [00:07, ?it/s] 2025-08-14T22:27:46.6755436Z cuda train hf_Bert_large 2025-08-14T22:27:58.4496542Z W0814 22:27:58.448000 683397 site-packages/torch/_logging/_internal.py:1199] [5/0] Profiler function will be ignored 2025-08-14T22:28:13.8626403Z Compilation time (from dynamo_timed): 25.733628435 2025-08-14T22:28:13.8666849Z pass 2025-08-14T22:28:13.9113095Z TIMING: gc:0.00488 entire_frame_compile:25.66972 backend_compile:12.62938 entire_backward_compile:0.06391 total_wall_time:25.73363 2025-08-14T22:28:13.9113872Z STATS: call_* op count: 2546 | FakeTensorMode.__torch_dispatch__:85022 | FakeTensor.__torch_dispatch__:4820 | ProxyTorchDispatchMode.__torch_dispatch__:41189 2025-08-14T22:28:13.9114243Z Dynamo produced 3 graphs covering 2546 ops with 6 graph breaks (5 unique) 2025-08-14T22:28:20.0943991Z 2025-08-14T22:28:20.9388952Z 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. 2025-08-14T22:28:20.9391160Z - 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 2025-08-14T22:28:20.9397647Z - 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). 2025-08-14T22:28:20.9398198Z - If you are not the owner of the model architecture class, please contact the model code owner to update it. 2025-08-14T22:28:20.9398965Z 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. 2025-08-14T22:28:20.9399683Z - 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 2025-08-14T22:28:20.9400506Z - 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). 2025-08-14T22:28:20.9400887Z - If you are not the owner of the model architecture class, please contact the model code owner to update it. 2025-08-14T22:28:26.9893450Z 2025-08-14T22:28:26.9902661Z loading model: 0it [00:06, ?it/s] 2025-08-14T22:28:26.9902995Z cuda train hf_BigBird 2025-08-14T22:28:45.7386628Z W0814 22:28:45.737000 683691 site-packages/torch/_logging/_internal.py:1199] [5/0] Profiler function will be ignored 2025-08-14T22:28:53.4394390Z Compilation time (from dynamo_timed): 24.937000535 2025-08-14T22:28:53.4428166Z pass 2025-08-14T22:28:53.4649686Z TIMING: gc:0.00567 entire_frame_compile:24.79511 backend_compile:14.34724 entire_backward_compile:0.14189 total_wall_time:24.937 2025-08-14T22:28:53.4650220Z STATS: call_* op count: 4383 | FakeTensorMode.__torch_dispatch__:123747 | FakeTensor.__torch_dispatch__:2661 | ProxyTorchDispatchMode.__torch_dispatch__:58308 2025-08-14T22:28:53.4650954Z Dynamo produced 3 graphs covering 4383 ops with 6 graph breaks (5 unique) 2025-08-14T22:28:58.3947288Z 2025-08-14T22:29:04.2349022Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:29:04.2349505Z loading model: 0it [00:05, ?it/s] 2025-08-14T22:29:04.2358877Z cuda train hf_DistilBert 2025-08-14T22:29:08.3824611Z W0814 22:29:08.381000 683985 site-packages/torch/_logging/_internal.py:1199] [5/0] Profiler function will be ignored 2025-08-14T22:29:12.3890634Z Compilation time (from dynamo_timed): 7.466838291 2025-08-14T22:29:12.3894514Z pass 2025-08-14T22:29:12.3951615Z TIMING: gc:0.00449 entire_frame_compile:7.44912 backend_compile:4.15741 entire_backward_compile:0.01772 total_wall_time:7.46684 2025-08-14T22:29:12.3952141Z STATS: call_* op count: 701 | FakeTensorMode.__torch_dispatch__:22992 | FakeTensor.__torch_dispatch__:1349 | ProxyTorchDispatchMode.__torch_dispatch__:10963 2025-08-14T22:29:12.3960021Z Dynamo produced 3 graphs covering 701 ops with 6 graph breaks (5 unique) 2025-08-14T22:29:16.4208695Z 2025-08-14T22:29:22.5058783Z loading model: 0it [00:00, ?it/s]`loss_type=None` was set in the config but it is unrecognised.Using the default loss: `ForCausalLMLoss`. 2025-08-14T22:29:22.5059874Z WARNING:transformers.modeling_utils:`loss_type=None` was set in the config but it is unrecognised.Using the default loss: `ForCausalLMLoss`. 2025-08-14T22:29:23.9488854Z 2025-08-14T22:29:23.9489838Z loading model: 0it [00:07, ?it/s] 2025-08-14T22:29:23.9490321Z cuda train hf_GPT2 2025-08-14T22:29:30.5035666Z W0814 22:29:30.502000 684279 site-packages/torch/_logging/_internal.py:1199] [11/0] Profiler function will be ignored 2025-08-14T22:29:35.9462401Z Compilation time (from dynamo_timed): 11.213547188 2025-08-14T22:29:35.9473286Z pass 2025-08-14T22:29:35.9899917Z TIMING: gc:0.00372 entire_frame_compile:11.18284 backend_compile:5.86321 entire_backward_compile:0.03071 total_wall_time:11.21355 2025-08-14T22:29:35.9901053Z STATS: call_* op count: 1333 | FakeTensorMode.__torch_dispatch__:38271 | FakeTensor.__torch_dispatch__:1915 | ProxyTorchDispatchMode.__torch_dispatch__:17183 2025-08-14T22:29:35.9909971Z Dynamo produced 6 graphs covering 1333 ops with 8 graph breaks (6 unique) 2025-08-14T22:29:40.0187823Z 2025-08-14T22:29:51.3118714Z loading model: 0it [00:00, ?it/s]`loss_type=None` was set in the config but it is unrecognised.Using the default loss: `ForCausalLMLoss`. 2025-08-14T22:29:51.3119777Z WARNING:transformers.modeling_utils:`loss_type=None` was set in the config but it is unrecognised.Using the default loss: `ForCausalLMLoss`. 2025-08-14T22:29:52.7231100Z 2025-08-14T22:29:52.7231464Z loading model: 0it [00:12, ?it/s] 2025-08-14T22:29:52.7231880Z cuda train hf_GPT2_large 2025-08-14T22:29:52.7242715Z Compilation time (from dynamo_timed): 0 2025-08-14T22:29:52.7243045Z pass_due_to_skip 2025-08-14T22:29:52.8233875Z TIMING: total_wall_time:0 2025-08-14T22:29:52.8234234Z STATS: call_* op count: 0 2025-08-14T22:29:52.8234684Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique) 2025-08-14T22:29:55.6249493Z 2025-08-14T22:30:02.6356179Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:30:02.6356776Z loading model: 0it [00:07, ?it/s] 2025-08-14T22:30:02.6365769Z cuda train hf_Longformer 2025-08-14T22:30:03.9513551Z W0814 22:30:03.950000 684869 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break from `Tensor.item()`, consider setting: 2025-08-14T22:30:03.9515136Z W0814 22:30:03.950000 684869 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] torch._dynamo.config.capture_scalar_outputs = True 2025-08-14T22:30:03.9516041Z W0814 22:30:03.950000 684869 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] or: 2025-08-14T22:30:03.9517368Z W0814 22:30:03.950000 684869 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-08-14T22:30:03.9519203Z W0814 22:30:03.950000 684869 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] to include these operations in the captured graph. 2025-08-14T22:30:03.9520013Z W0814 22:30:03.950000 684869 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-08-14T22:30:03.9520774Z W0814 22:30:03.950000 684869 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break: from user code at: 2025-08-14T22:30:03.9522054Z W0814 22:30:03.950000 684869 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 2025-08-14T22:30:03.9529321Z W0814 22:30:03.950000 684869 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] pred = mod(**cloned_inputs) 2025-08-14T22:30:03.9530150Z W0814 22:30:03.950000 684869 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 2025-08-14T22:30:03.9531121Z W0814 22:30:03.950000 684869 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] outputs = self.longformer( 2025-08-14T22:30:03.9531913Z W0814 22:30:03.950000 684869 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 2025-08-14T22:30:03.9532705Z W0814 22:30:03.950000 684869 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] encoder_outputs = self.encoder( 2025-08-14T22:30:03.9533489Z W0814 22:30:03.950000 684869 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 2025-08-14T22:30:03.9534328Z W0814 22:30:03.950000 684869 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] is_global_attn = is_index_global_attn.flatten().any().item() 2025-08-14T22:30:03.9534813Z W0814 22:30:03.950000 684869 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-08-14T22:30:03.9535108Z W0814 22:30:03.950000 684869 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-08-14T22:30:15.8356425Z W0814 22:30:15.834000 684869 site-packages/torch/_logging/_internal.py:1199] [19/0] Profiler function will be ignored 2025-08-14T22:30:24.3707140Z Compilation time (from dynamo_timed): 20.083185007 2025-08-14T22:30:24.3742098Z pass 2025-08-14T22:30:24.3866780Z TIMING: gc:0.00838 entire_frame_compile:19.99476 backend_compile:12.57761 entire_backward_compile:0.08842 total_wall_time:20.08319 2025-08-14T22:30:24.3872917Z STATS: call_* op count: 2774 | FakeTensorMode.__torch_dispatch__:82118 | FakeTensor.__torch_dispatch__:2691 | ProxyTorchDispatchMode.__torch_dispatch__:43760 2025-08-14T22:30:24.3873657Z Dynamo produced 8 graphs covering 2774 ops with 10 graph breaks (6 unique) 2025-08-14T22:30:28.8544299Z 2025-08-14T22:30:30.2889805Z 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)`. 2025-08-14T22:30:30.2890954Z 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)`. 2025-08-14T22:30:34.6363570Z 2025-08-14T22:30:34.6365076Z loading model: 0it [00:05, ?it/s] 2025-08-14T22:30:34.6365723Z cuda train hf_Reformer 2025-08-14T22:30:44.7311134Z W0814 22:30:44.730000 685163 site-packages/torch/_logging/_internal.py:1199] [35/0] Profiler function will be ignored 2025-08-14T22:30:48.0027512Z Compilation time (from dynamo_timed): 12.379594184 2025-08-14T22:30:48.0030374Z pass 2025-08-14T22:30:48.0080958Z TIMING: gc:0.01358 entire_frame_compile:12.37457 backend_compile:4.15492 entire_backward_compile:0.00502 total_wall_time:12.37959 2025-08-14T22:30:48.0081639Z STATS: call_* op count: 1208 | FakeTensorMode.__torch_dispatch__:27199 | ProxyTorchDispatchMode.__torch_dispatch__:10888 | FakeTensor.__torch_dispatch__:1145 | attempt fast:34 | fast is_contiguous:34 2025-08-14T22:30:48.0082141Z Dynamo produced 18 graphs covering 1213 ops with 25 graph breaks (10 unique) 2025-08-14T22:30:52.4325284Z 2025-08-14T22:31:00.5359857Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:31:00.5360156Z loading model: 0it [00:08, ?it/s] 2025-08-14T22:31:00.5360340Z cuda train hf_Roberta_base 2025-08-14T22:31:07.1323573Z W0814 22:31:07.131000 686750 site-packages/torch/_logging/_internal.py:1199] [5/0] Profiler function will be ignored 2025-08-14T22:31:14.6140124Z Compilation time (from dynamo_timed): 13.116917464 2025-08-14T22:31:14.6153291Z pass 2025-08-14T22:31:14.6268269Z TIMING: gc:0.0053 entire_frame_compile:13.08317 backend_compile:6.71718 entire_backward_compile:0.03374 total_wall_time:13.11692 2025-08-14T22:31:14.6269141Z STATS: call_* op count: 1330 | FakeTensorMode.__torch_dispatch__:43930 | FakeTensor.__torch_dispatch__:2516 | ProxyTorchDispatchMode.__torch_dispatch__:21140 2025-08-14T22:31:14.6269742Z Dynamo produced 3 graphs covering 1330 ops with 6 graph breaks (5 unique) 2025-08-14T22:31:18.6580964Z 2025-08-14T22:31:25.1914314Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:31:25.1914799Z loading model: 0it [00:06, ?it/s] 2025-08-14T22:31:25.1915141Z cuda train hf_T5 2025-08-14T22:31:34.2586477Z Compilation time (from dynamo_timed): 8.14817337 2025-08-14T22:31:34.2606981Z pass 2025-08-14T22:31:34.2695917Z TIMING: gc:0.00364 entire_frame_compile:8.08166 backend_compile:4.99861 entire_backward_compile:0.06652 total_wall_time:8.14817 2025-08-14T22:31:34.2696420Z STATS: call_* op count: 833 | FakeTensorMode.__torch_dispatch__:36605 | FakeTensor.__torch_dispatch__:61 | ProxyTorchDispatchMode.__torch_dispatch__:18460 2025-08-14T22:31:34.2696817Z Dynamo produced 2 graphs covering 833 ops with 5 graph breaks (5 unique) 2025-08-14T22:31:38.2578681Z 2025-08-14T22:31:46.9264101Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:31:46.9264547Z loading model: 0it [00:08, ?it/s] 2025-08-14T22:31:46.9264900Z cuda train hf_T5_base 2025-08-14T22:32:05.0468324Z Compilation time (from dynamo_timed): 16.363949781000002 2025-08-14T22:32:05.0507166Z pass 2025-08-14T22:32:05.0773890Z TIMING: gc:0.00222 entire_frame_compile:16.2326 backend_compile:8.8969 entire_backward_compile:0.13135 total_wall_time:16.36395 2025-08-14T22:32:05.0780115Z STATS: call_* op count: 1553 | FakeTensorMode.__torch_dispatch__:70901 | FakeTensor.__torch_dispatch__:61 | ProxyTorchDispatchMode.__torch_dispatch__:36016 2025-08-14T22:32:05.0780469Z Dynamo produced 2 graphs covering 1553 ops with 5 graph breaks (5 unique) 2025-08-14T22:32:09.7952379Z 2025-08-14T22:32:22.5908774Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:32:22.5909017Z loading model: 0it [00:12, ?it/s] 2025-08-14T22:32:22.5915142Z cuda train hf_T5_large 2025-08-14T22:32:22.5915871Z Compilation time (from dynamo_timed): 0 2025-08-14T22:32:22.6950937Z pass_due_to_skip 2025-08-14T22:32:22.6951130Z TIMING: total_wall_time:0 2025-08-14T22:32:22.6951277Z STATS: call_* op count: 0 2025-08-14T22:32:22.6951438Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique) 2025-08-14T22:32:25.4307011Z 2025-08-14T22:32:31.3254044Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:32:31.3260271Z loading model: 0it [00:05, ?it/s] 2025-08-14T22:32:31.3260431Z cuda train hf_Whisper 2025-08-14T22:32:31.3294684Z [W814 22:32:31.215417838 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:32:31.3916671Z [W814 22:32:31.277122680 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:32:31.5482722Z [W814 22:32:31.433854932 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:32:31.5484838Z [W814 22:32:31.434321094 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:32:31.5877860Z [W814 22:32:31.473432211 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:32:31.5881719Z [W814 22:32:31.473983061 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:32:31.5964971Z [W814 22:32:31.482394674 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:32:31.5968509Z [W814 22:32:31.482742788 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:32:33.9743764Z W0814 22:32:33.973000 687924 site-packages/torch/_logging/_internal.py:1199] [5/0] Profiler function will be ignored 2025-08-14T22:32:36.7609806Z Compilation time (from dynamo_timed): 4.842248893 2025-08-14T22:32:36.7610281Z pass 2025-08-14T22:32:36.7622681Z TIMING: gc:0.00386 entire_frame_compile:4.82929 backend_compile:2.56483 entire_backward_compile:0.01296 total_wall_time:4.84225 2025-08-14T22:32:36.7623198Z STATS: call_* op count: 514 | FakeTensorMode.__torch_dispatch__:15876 | FakeTensor.__torch_dispatch__:940 | ProxyTorchDispatchMode.__torch_dispatch__:7503 2025-08-14T22:32:36.7623612Z Dynamo produced 3 graphs covering 514 ops with 6 graph breaks (5 unique) 2025-08-14T22:32:40.7051161Z 2025-08-14T22:32:40.9193767Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:32:40.9194096Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:32:40.9194303Z cuda train hf_distil_whisper 2025-08-14T22:32:40.9196416Z Traceback (most recent call last): 2025-08-14T22:32:40.9196739Z File "/var/lib/jenkins/pytorch/benchmarks/dynamo/common.py", line 4124, in run 2025-08-14T22:32:40.9197072Z ) = runner.load_model( 2025-08-14T22:32:40.9197373Z File "/var/lib/jenkins/pytorch/benchmarks/dynamo/torchbench.py", line 325, in load_model 2025-08-14T22:32:40.9197669Z benchmark = benchmark_cls( 2025-08-14T22:32:40.9198130Z File "/torchbench/torchbenchmark/util/model.py", line 43, in __call__ 2025-08-14T22:32:40.9205713Z obj = type.__call__(cls, *args, **kwargs) 2025-08-14T22:32:40.9206022Z File "/torchbench/torchbenchmark/models/hf_distil_whisper/__init__.py", line 13, in __init__ 2025-08-14T22:32:40.9206319Z raise NotImplementedError("Training is not implemented.") 2025-08-14T22:32:40.9206673Z NotImplementedError: Training is not implemented. 2025-08-14T22:32:40.9206927Z 2025-08-14T22:32:40.9207808Z model_fail_to_load 2025-08-14T22:32:43.2519038Z 2025-08-14T22:32:47.1554388Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:32:47.1554931Z loading model: 0it [00:03, ?it/s] 2025-08-14T22:32:47.1561125Z cuda train lennard_jones 2025-08-14T22:32:48.3829393Z W0814 22:32:48.381000 688349 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-08-14T22:32:49.0096214Z Compilation time (from dynamo_timed): 1.519886213 2025-08-14T22:32:49.0096510Z pass 2025-08-14T22:32:49.0097200Z TIMING: gc:0.00224 entire_frame_compile:1.51692 backend_compile:0.88913 entire_backward_compile:0.00297 total_wall_time:1.51989 2025-08-14T22:32:49.0097783Z STATS: call_* op count: 82 | FakeTensor.__torch_dispatch__:165 | FakeTensorMode.__torch_dispatch__:2225 | ProxyTorchDispatchMode.__torch_dispatch__:1003 2025-08-14T22:32:49.0098501Z Dynamo produced 3 graphs covering 82 ops with 7 graph breaks (5 unique) 2025-08-14T22:32:50.2711964Z accuracy pass_rate=82.86% 2025-08-14T22:32:50.2713478Z calls_captured gmean=0.00x mean=703.914x 2025-08-14T22:32:50.2713764Z unique_graphs gmean=0.00x mean=3.543x 2025-08-14T22:32:50.2714158Z graph_breaks gmean=0.00x mean=6.629x 2025-08-14T22:32:50.2714306Z unique_graph_breaks gmean=0.00x mean=4.457x 2025-08-14T22:32:50.2714438Z autograd_captures gmean=0.00x mean=0.000x 2025-08-14T22:32:50.2714575Z autograd_compiles gmean=0.00x mean=0.000x 2025-08-14T22:32:50.2714702Z cudagraph_skips gmean=0.00x mean=0.000x 2025-08-14T22:32:50.2714839Z compilation_latency mean=6.807 seconds 2025-08-14T22:32:51.0755848Z + python benchmarks/dynamo/check_accuracy.py --actual /var/lib/jenkins/pytorch/test/test-reports/training_torchbench.csv --expected benchmarks/dynamo/ci_expected_accuracy/rocm/aot_eager_torchbench_training.csv 2025-08-14T22:32:51.2726212Z torchrec_dlrm FAIL_BUT_FLAKY: accuracy=eager_fail_to_run, expected=pass 2025-08-14T22:32:51.2726523Z BERT_pytorch PASS 2025-08-14T22:32:51.2728523Z Background_Matting XFAIL 2025-08-14T22:32:51.2729280Z LearningToPaint PASS 2025-08-14T22:32:51.2730615Z Super_SloMo PASS 2025-08-14T22:32:51.2732388Z alexnet FAIL_BUT_FLAKY: accuracy=eager_two_runs_differ, expected=pass 2025-08-14T22:32:51.2733533Z basic_gnn_edgecnn PASS 2025-08-14T22:32:51.2735262Z basic_gnn_gcn PASS 2025-08-14T22:32:51.2737153Z basic_gnn_gin PASS 2025-08-14T22:32:51.2738834Z basic_gnn_sage PASS 2025-08-14T22:32:51.2746819Z dcgan PASS 2025-08-14T22:32:51.2748147Z demucs PASS 2025-08-14T22:32:51.2748377Z densenet121 PASS 2025-08-14T22:32:51.2748512Z dlrm PASS 2025-08-14T22:32:51.2748643Z drq PASS 2025-08-14T22:32:51.2748827Z fastNLP_Bert PASS 2025-08-14T22:32:51.2750770Z functorch_dp_cifar10 PASS 2025-08-14T22:32:51.2752353Z functorch_maml_omniglot PASS 2025-08-14T22:32:51.2753944Z hf_Albert PASS 2025-08-14T22:32:51.2755615Z hf_Bart PASS 2025-08-14T22:32:51.2757295Z hf_Bert PASS 2025-08-14T22:32:51.2759169Z hf_Bert_large PASS 2025-08-14T22:32:51.2760810Z hf_BigBird PASS 2025-08-14T22:32:51.2766662Z hf_DistilBert PASS 2025-08-14T22:32:51.2766842Z hf_GPT2 PASS 2025-08-14T22:32:51.2767191Z hf_GPT2_large XFAIL 2025-08-14T22:32:51.2767414Z hf_Longformer PASS 2025-08-14T22:32:51.2769480Z hf_Reformer PASS 2025-08-14T22:32:51.2771085Z hf_Roberta_base PASS 2025-08-14T22:32:51.2772675Z hf_T5 PASS 2025-08-14T22:32:51.2774399Z hf_T5_base PASS_BUT_FLAKY: accuracy=pass, expected=eager_2nd_run_OOM 2025-08-14T22:32:51.2776028Z hf_T5_large XFAIL 2025-08-14T22:32:51.2777681Z hf_Whisper PASS 2025-08-14T22:32:51.2781658Z hf_distil_whisper XFAIL 2025-08-14T22:32:51.2781818Z lennard_jones PASS 2025-08-14T22:32:51.3247252Z + 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/aot_eager_torchbench_training.csv 2025-08-14T22:32:51.5040778Z torchrec_dlrm IMPROVED_BUT_FLAKY: graph_breaks=0, expected=6 2025-08-14T22:32:51.5041300Z BERT_pytorch PASS 2025-08-14T22:32:51.5041844Z Background_Matting PASS 2025-08-14T22:32:51.5042615Z LearningToPaint PASS 2025-08-14T22:32:51.5045042Z Super_SloMo PASS 2025-08-14T22:32:51.5046646Z alexnet IMPROVED_BUT_FLAKY: graph_breaks=0, expected=6 2025-08-14T22:32:51.5055312Z basic_gnn_edgecnn PASS 2025-08-14T22:32:51.5055810Z basic_gnn_gcn PASS 2025-08-14T22:32:51.5055944Z basic_gnn_gin PASS 2025-08-14T22:32:51.5056066Z basic_gnn_sage PASS 2025-08-14T22:32:51.5056180Z dcgan PASS 2025-08-14T22:32:51.5056436Z demucs PASS_BUT_FLAKY 2025-08-14T22:32:51.5058427Z densenet121 PASS_BUT_FLAKY 2025-08-14T22:32:51.5060105Z dlrm PASS 2025-08-14T22:32:51.5061704Z drq PASS 2025-08-14T22:32:51.5063302Z fastNLP_Bert PASS 2025-08-14T22:32:51.5064989Z functorch_dp_cifar10 PASS 2025-08-14T22:32:51.5067400Z functorch_maml_omniglot PASS 2025-08-14T22:32:51.5068805Z hf_Albert PASS 2025-08-14T22:32:51.5070426Z hf_Bart PASS 2025-08-14T22:32:51.5072047Z hf_Bert PASS 2025-08-14T22:32:51.5073602Z hf_Bert_large PASS 2025-08-14T22:32:51.5075315Z hf_BigBird PASS_BUT_FLAKY 2025-08-14T22:32:51.5077391Z hf_DistilBert PASS 2025-08-14T22:32:51.5078812Z hf_GPT2 PASS 2025-08-14T22:32:51.5080456Z hf_GPT2_large PASS 2025-08-14T22:32:51.5082191Z hf_Longformer FAIL_BUT_FLAKY: graph_breaks=10, expected=4 2025-08-14T22:32:51.5087208Z hf_Reformer PASS_BUT_FLAKY 2025-08-14T22:32:51.5087546Z hf_Roberta_base PASS_BUT_FLAKY 2025-08-14T22:32:51.5087721Z hf_T5 FAIL_BUT_FLAKY: graph_breaks=5, expected=0 2025-08-14T22:32:51.5089046Z hf_T5_base FAIL_BUT_FLAKY: graph_breaks=5, expected=0 2025-08-14T22:32:51.5090754Z hf_T5_large PASS 2025-08-14T22:32:51.5092265Z hf_Whisper PASS 2025-08-14T22:32:51.5093922Z hf_distil_whisper PASS 2025-08-14T22:32:51.5095656Z lennard_jones PASS 2025-08-14T22:32:51.5357791Z + sccache_epilogue 2025-08-14T22:32:51.5358128Z + echo '::group::Sccache Compilation Log' 2025-08-14T22:32:51.5358658Z ##[group]Sccache Compilation Log 2025-08-14T22:32:51.5358812Z + echo '=================== sccache compilation log ===================' 2025-08-14T22:32:51.5360854Z =================== sccache compilation log =================== 2025-08-14T22:32:51.5361099Z + python /var/lib/jenkins/pytorch/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log 2025-08-14T22:32:51.5494346Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ===========' 2025-08-14T22:32:51.5494609Z =========== If your build fails, please take a look at the log above for possible reasons =========== 2025-08-14T22:32:51.5494795Z + sccache --show-stats 2025-08-14T22:32:51.5515659Z Compile requests 3849 2025-08-14T22:32:51.5516578Z Compile requests executed 720 2025-08-14T22:32:51.5516797Z Cache hits 0 2025-08-14T22:32:51.5516935Z Cache misses 712 2025-08-14T22:32:51.5517054Z Cache misses (C/C++) 202 2025-08-14T22:32:51.5517176Z Cache misses (HIP) 510 2025-08-14T22:32:51.5522933Z Cache hits rate 0.00 % 2025-08-14T22:32:51.5523239Z Cache hits rate (C/C++) 0.00 % 2025-08-14T22:32:51.5523369Z Cache hits rate (HIP) 0.00 % 2025-08-14T22:32:51.5523491Z Cache timeouts 0 2025-08-14T22:32:51.5523614Z Cache read errors 0 2025-08-14T22:32:51.5523733Z Forced recaches 0 2025-08-14T22:32:51.5523847Z Cache write errors 0 2025-08-14T22:32:51.5523960Z Cache errors 0 2025-08-14T22:32:51.5524082Z Compilations 712 2025-08-14T22:32:51.5524194Z Compilation failures 8 2025-08-14T22:32:51.5524393Z Non-cacheable compilations 0 2025-08-14T22:32:51.5526387Z Non-cacheable calls 506 2025-08-14T22:32:51.5526511Z Non-compilation calls 2623 2025-08-14T22:32:51.5526627Z Unsupported compiler calls 0 2025-08-14T22:32:51.5526746Z Average cache write 0.007 s 2025-08-14T22:32:51.5526868Z Average compiler 19.996 s 2025-08-14T22:32:51.5526985Z Average cache read hit 0.000 s 2025-08-14T22:32:51.5527104Z Failed distributed compilations 0 2025-08-14T22:32:51.5527187Z 2025-08-14T22:32:51.5527227Z Non-cacheable reasons: 2025-08-14T22:32:51.5527329Z -M 503 2025-08-14T22:32:51.5527457Z -E 3 2025-08-14T22:32:51.5527530Z 2025-08-14T22:32:51.5527616Z Cache location Local disk: "/var/lib/jenkins/.cache/sccache" 2025-08-14T22:32:51.5529033Z Use direct/preprocessor mode? yes 2025-08-14T22:32:51.5529154Z Version (client) 0.10.0 2025-08-14T22:32:51.5529275Z Cache size 60 MiB 2025-08-14T22:32:51.5529484Z Max cache size 10 GiB 2025-08-14T22:32:51.5529607Z + sccache --stop-server 2025-08-14T22:32:51.5539207Z Stopping sccache server... 2025-08-14T22:32:51.5543920Z Compile requests 3849 2025-08-14T22:32:51.5544195Z Compile requests executed 720 2025-08-14T22:32:51.5544330Z Cache hits 0 2025-08-14T22:32:51.5544453Z Cache misses 712 2025-08-14T22:32:51.5546843Z Cache misses (C/C++) 202 2025-08-14T22:32:51.5546986Z Cache misses (HIP) 510 2025-08-14T22:32:51.5547120Z Cache hits rate 0.00 % 2025-08-14T22:32:51.5547249Z Cache hits rate (C/C++) 0.00 % 2025-08-14T22:32:51.5547372Z Cache hits rate (HIP) 0.00 % 2025-08-14T22:32:51.5547504Z Cache timeouts 0 2025-08-14T22:32:51.5547626Z Cache read errors 0 2025-08-14T22:32:51.5547752Z Forced recaches 0 2025-08-14T22:32:51.5548001Z Cache write errors 0 2025-08-14T22:32:51.5548114Z Cache errors 0 2025-08-14T22:32:51.5548223Z Compilations 712 2025-08-14T22:32:51.5548339Z Compilation failures 8 2025-08-14T22:32:51.5548459Z Non-cacheable compilations 0 2025-08-14T22:32:51.5548578Z Non-cacheable calls 506 2025-08-14T22:32:51.5548695Z Non-compilation calls 2623 2025-08-14T22:32:51.5548828Z Unsupported compiler calls 0 2025-08-14T22:32:51.5550241Z Average cache write 0.007 s 2025-08-14T22:32:51.5550368Z Average compiler 19.996 s 2025-08-14T22:32:51.5550484Z Average cache read hit 0.000 s 2025-08-14T22:32:51.5550679Z Failed distributed compilations 0 2025-08-14T22:32:51.5550759Z 2025-08-14T22:32:51.5550800Z Non-cacheable reasons: 2025-08-14T22:32:51.5550901Z -M 503 2025-08-14T22:32:51.5551015Z -E 3 2025-08-14T22:32:51.5551088Z 2025-08-14T22:32:51.5551164Z Cache location Local disk: "/var/lib/jenkins/.cache/sccache" 2025-08-14T22:32:51.5551323Z Use direct/preprocessor mode? yes 2025-08-14T22:32:51.5551510Z Version (client) 0.10.0 2025-08-14T22:32:51.5551627Z Cache size 60 MiB 2025-08-14T22:32:51.5552754Z Max cache size 10 GiB 2025-08-14T22:32:51.5552873Z + echo ::endgroup:: 2025-08-14T22:32:51.5553039Z ##[endgroup] 2025-08-14T22:32:51.5937435Z ##[group]Run # copy test results back to the mounted workspace, needed sudo, resulting permissions were correct 2025-08-14T22:32:51.5937769Z # copy test results back to the mounted workspace, needed sudo, resulting permissions were correct 2025-08-14T22:32:51.5938281Z docker exec -t "7544b9dcbfaf82a0dbe9e5dc05c11311ecbd74c9ca7e1ca566ad3b6c1dae3655" sh -c "cd ../pytorch && sudo cp -R test/test-reports ../workspace/test" 2025-08-14T22:32:51.5944104Z shell: /usr/bin/bash -e {0} 2025-08-14T22:32:51.5944215Z env: 2025-08-14T22:32:51.5944303Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:32:51.5944435Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:32:51.5944609Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:32:51.5944768Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:32:51.5945178Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:32:51.5945538Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:32:51.5945648Z AWS_REGION: us-east-1 2025-08-14T22:32:51.5945821Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:32:51.5945966Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:32:51.5948101Z AWS_SESSION_TOKEN: *** 2025-08-14T22:32:51.5948269Z CONTAINER_NAME: 7544b9dcbfaf82a0dbe9e5dc05c11311ecbd74c9ca7e1ca566ad3b6c1dae3655 2025-08-14T22:32:51.5948451Z ##[endgroup] 2025-08-14T22:32:52.5055809Z ##[group]Run docker exec -t "7544b9dcbfaf82a0dbe9e5dc05c11311ecbd74c9ca7e1ca566ad3b6c1dae3655" sh -c "sudo chown -R 1001:1001 test" 2025-08-14T22:32:52.5056244Z docker exec -t "7544b9dcbfaf82a0dbe9e5dc05c11311ecbd74c9ca7e1ca566ad3b6c1dae3655" sh -c "sudo chown -R 1001:1001 test" 2025-08-14T22:32:52.5062094Z shell: /usr/bin/bash -e {0} 2025-08-14T22:32:52.5062214Z env: 2025-08-14T22:32:52.5062311Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:32:52.5062451Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:32:52.5062634Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:32:52.5062803Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:32:52.5063197Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:32:52.5063616Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:32:52.5063734Z AWS_REGION: us-east-1 2025-08-14T22:32:52.5063899Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:32:52.5064052Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:32:52.5074453Z AWS_SESSION_TOKEN: *** 2025-08-14T22:32:52.5074626Z CONTAINER_NAME: 7544b9dcbfaf82a0dbe9e5dc05c11311ecbd74c9ca7e1ca566ad3b6c1dae3655 2025-08-14T22:32:52.5074807Z ##[endgroup] 2025-08-14T22:32:52.7806391Z ##[group]Run cat test/**/*_toprint.log || true 2025-08-14T22:32:52.7806564Z cat test/**/*_toprint.log || true 2025-08-14T22:32:52.7811947Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:32:52.7812102Z env: 2025-08-14T22:32:52.7812198Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:32:52.7812412Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:32:52.7812592Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:32:52.7812767Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:32:52.7813147Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:32:52.7813522Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:32:52.7813641Z AWS_REGION: us-east-1 2025-08-14T22:32:52.7813807Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:32:52.7813998Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:32:52.7816004Z AWS_SESSION_TOKEN: *** 2025-08-14T22:32:52.7816175Z CONTAINER_NAME: 7544b9dcbfaf82a0dbe9e5dc05c11311ecbd74c9ca7e1ca566ad3b6c1dae3655 2025-08-14T22:32:52.7816364Z ##[endgroup] 2025-08-14T22:32:52.7882226Z cat: 'test/**/*_toprint.log': No such file or directory 2025-08-14T22:32:52.9091768Z Prepare all required actions 2025-08-14T22:32:52.9092217Z Getting action download info 2025-08-14T22:32:53.1079484Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-08-14T22:32:53.7263221Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-08-14T22:32:54.5487150Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-08-14T22:32:54.5487330Z with: 2025-08-14T22:32:54.5487422Z use-gha: true 2025-08-14T22:32:54.5487635Z file-suffix: test-aot_eager_torchbench-1-2-linux.rocm.gpu.gfx942.1_48128598958 2025-08-14T22:32:54.5487995Z s3-bucket: gha-artifacts 2025-08-14T22:32:54.5488124Z env: 2025-08-14T22:32:54.5488215Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:32:54.5488359Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:32:54.5488542Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:32:54.5488773Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:32:54.5489152Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:32:54.5489551Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:32:54.5489699Z AWS_REGION: us-east-1 2025-08-14T22:32:54.5489863Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:32:54.5490014Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:32:54.5492009Z AWS_SESSION_TOKEN: *** 2025-08-14T22:32:54.5492183Z CONTAINER_NAME: 7544b9dcbfaf82a0dbe9e5dc05c11311ecbd74c9ca7e1ca566ad3b6c1dae3655 2025-08-14T22:32:54.5492365Z ##[endgroup] 2025-08-14T22:32:54.6499175Z ##[group]Run actions/upload-artifact@v4 2025-08-14T22:32:54.6499336Z with: 2025-08-14T22:32:54.6499547Z name: test-jsons-runattempt1-test-aot_eager_torchbench-1-2-linux.rocm.gpu.gfx942.1_48128598958.zip 2025-08-14T22:32:54.6499783Z retention-days: 14 2025-08-14T22:32:54.6499908Z if-no-files-found: warn 2025-08-14T22:32:54.6500024Z path: test/**/*.json 2025-08-14T22:32:54.6500144Z compression-level: 6 2025-08-14T22:32:54.6500251Z overwrite: false 2025-08-14T22:32:54.6502660Z include-hidden-files: false 2025-08-14T22:32:54.6502770Z env: 2025-08-14T22:32:54.6502859Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:32:54.6502990Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:32:54.6503172Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:32:54.6503338Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:32:54.6503735Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:32:54.6504120Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:32:54.6504236Z AWS_REGION: us-east-1 2025-08-14T22:32:54.6504558Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:32:54.6506488Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:32:54.6508771Z AWS_SESSION_TOKEN: *** 2025-08-14T22:32:54.6508942Z CONTAINER_NAME: 7544b9dcbfaf82a0dbe9e5dc05c11311ecbd74c9ca7e1ca566ad3b6c1dae3655 2025-08-14T22:32:54.6509121Z ##[endgroup] 2025-08-14T22:32:55.0796752Z With the provided path, there will be 7 files uploaded 2025-08-14T22:32:55.0800322Z Artifact name is valid! 2025-08-14T22:32:55.0801357Z Root directory input is valid! 2025-08-14T22:32:55.1767360Z Beginning upload of artifact content to blob storage 2025-08-14T22:32:55.5695267Z Uploaded bytes 59849 2025-08-14T22:32:55.6240139Z Finished uploading artifact content to blob storage! 2025-08-14T22:32:55.6241270Z SHA256 digest of uploaded artifact zip is cb349a511c15878d56b746967d1318d62b8ad9454ba87d15e5b0b77012145c40 2025-08-14T22:32:55.6241901Z Finalizing artifact upload 2025-08-14T22:32:55.7140664Z Artifact test-jsons-runattempt1-test-aot_eager_torchbench-1-2-linux.rocm.gpu.gfx942.1_48128598958.zip.zip successfully finalized. Artifact ID 3769860286 2025-08-14T22:32:55.7142082Z Artifact test-jsons-runattempt1-test-aot_eager_torchbench-1-2-linux.rocm.gpu.gfx942.1_48128598958.zip has been successfully uploaded! Final size is 59849 bytes. Artifact ID is 3769860286 2025-08-14T22:32:55.7143438Z Artifact download URL: https://github.com/pytorch/pytorch/actions/runs/16976338999/artifacts/3769860286 2025-08-14T22:32:55.8072624Z ##[group]Run actions/upload-artifact@v4 2025-08-14T22:32:55.8072833Z with: 2025-08-14T22:32:55.8073127Z name: test-reports-runattempt1-test-aot_eager_torchbench-1-2-linux.rocm.gpu.gfx942.1_48128598958.zip 2025-08-14T22:32:55.8073408Z retention-days: 14 2025-08-14T22:32:55.8073571Z if-no-files-found: ignore 2025-08-14T22:32:55.8073735Z path: test/**/*.xml test/**/*.csv 2025-08-14T22:32:55.8073859Z compression-level: 6 2025-08-14T22:32:55.8073965Z overwrite: false 2025-08-14T22:32:55.8074074Z include-hidden-files: false 2025-08-14T22:32:55.8074187Z env: 2025-08-14T22:32:55.8074313Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:32:55.8074452Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:32:55.8074705Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:32:55.8074874Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:32:55.8075325Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:32:55.8075812Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:32:55.8075932Z AWS_REGION: us-east-1 2025-08-14T22:32:55.8076127Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:32:55.8076282Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:32:55.8078584Z AWS_SESSION_TOKEN: *** 2025-08-14T22:32:55.8078764Z CONTAINER_NAME: 7544b9dcbfaf82a0dbe9e5dc05c11311ecbd74c9ca7e1ca566ad3b6c1dae3655 2025-08-14T22:32:55.8078947Z ##[endgroup] 2025-08-14T22:32:56.2171342Z With the provided path, there will be 9 files uploaded 2025-08-14T22:32:56.2171625Z Artifact name is valid! 2025-08-14T22:32:56.2171757Z Root directory input is valid! 2025-08-14T22:32:56.3344761Z Beginning upload of artifact content to blob storage 2025-08-14T22:32:56.5651842Z Uploaded bytes 17700 2025-08-14T22:32:56.5969055Z Finished uploading artifact content to blob storage! 2025-08-14T22:32:56.5970567Z SHA256 digest of uploaded artifact zip is 4441b7c98f280fb7de3e9bfa8b3151d1521b5ed2a98292fbb357945754dcd5f9 2025-08-14T22:32:56.5971200Z Finalizing artifact upload 2025-08-14T22:32:56.6855905Z Artifact test-reports-runattempt1-test-aot_eager_torchbench-1-2-linux.rocm.gpu.gfx942.1_48128598958.zip.zip successfully finalized. Artifact ID 3769860361 2025-08-14T22:32:56.6857345Z Artifact test-reports-runattempt1-test-aot_eager_torchbench-1-2-linux.rocm.gpu.gfx942.1_48128598958.zip has been successfully uploaded! Final size is 17700 bytes. Artifact ID is 3769860361 2025-08-14T22:32:56.6860213Z Artifact download URL: https://github.com/pytorch/pytorch/actions/runs/16976338999/artifacts/3769860361 2025-08-14T22:32:56.7617800Z ##[group]Run actions/upload-artifact@v4 2025-08-14T22:32:56.7618086Z with: 2025-08-14T22:32:56.7620181Z name: logs-runattempt1-test-aot_eager_torchbench-1-2-linux.rocm.gpu.gfx942.1_48128598958.zip 2025-08-14T22:32:56.7620385Z retention-days: 14 2025-08-14T22:32:56.7620492Z if-no-files-found: ignore 2025-08-14T22:32:56.7620608Z path: usage_log.txt test/**/*.log 2025-08-14T22:32:56.7620730Z compression-level: 6 2025-08-14T22:32:56.7620830Z overwrite: false 2025-08-14T22:32:56.7620931Z include-hidden-files: false 2025-08-14T22:32:56.7621040Z env: 2025-08-14T22:32:56.7621128Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:32:56.7621258Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:32:56.7623039Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:32:56.7623203Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:32:56.7623734Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:32:56.7624174Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:32:56.7624289Z AWS_REGION: us-east-1 2025-08-14T22:32:56.7624436Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:32:56.7624582Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:32:56.7626620Z AWS_SESSION_TOKEN: *** 2025-08-14T22:32:56.7626792Z CONTAINER_NAME: 7544b9dcbfaf82a0dbe9e5dc05c11311ecbd74c9ca7e1ca566ad3b6c1dae3655 2025-08-14T22:32:56.7626975Z ##[endgroup] 2025-08-14T22:32:57.1833924Z Multiple search paths detected. Calculating the least common ancestor of all paths 2025-08-14T22:32:57.1834995Z The least common ancestor is /home/runner/_work/pytorch/pytorch. This will be the root directory of the artifact 2025-08-14T22:32:57.1835398Z No files were found with the provided path: usage_log.txt 2025-08-14T22:32:57.1835701Z test/**/*.log. No artifacts will be uploaded. 2025-08-14T22:32:57.1931650Z ##[group]Run # shellcheck disable=SC2156 2025-08-14T22:32:57.1931849Z # shellcheck disable=SC2156 2025-08-14T22:32:57.1934627Z find . -iname "core.[1-9]*" -exec docker exec "${CONTAINER_NAME}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-08-14T22:32:57.1940282Z shell: /usr/bin/bash -e {0} 2025-08-14T22:32:57.1940397Z env: 2025-08-14T22:32:57.1940489Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:32:57.1940624Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:32:57.1940804Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:32:57.1940970Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:32:57.1941357Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:32:57.1941740Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:32:57.1944229Z AWS_REGION: us-east-1 2025-08-14T22:32:57.1944392Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:32:57.1944544Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:32:57.1946566Z AWS_SESSION_TOKEN: *** 2025-08-14T22:32:57.1946739Z CONTAINER_NAME: 7544b9dcbfaf82a0dbe9e5dc05c11311ecbd74c9ca7e1ca566ad3b6c1dae3655 2025-08-14T22:32:57.1946924Z ##[endgroup] 2025-08-14T22:32:57.3626692Z ##[group]Run aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722 2025-08-14T22:32:57.3626923Z with: 2025-08-14T22:32:57.3627079Z role-to-assume: arn:aws:iam::308535385114:role/gha_workflow_upload-benchmark-results 2025-08-14T22:32:57.3627269Z role-duration-seconds: 18000 2025-08-14T22:32:57.3627388Z aws-region: us-east-1 2025-08-14T22:32:57.3627499Z audience: sts.amazonaws.com 2025-08-14T22:32:57.3627609Z env: 2025-08-14T22:32:57.3627700Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:32:57.3627837Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:32:57.3628195Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:32:57.3630186Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:32:57.3630589Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:32:57.3630962Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:32:57.3631076Z AWS_REGION: us-east-1 2025-08-14T22:32:57.3631226Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:32:57.3631373Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:32:57.3633416Z AWS_SESSION_TOKEN: *** 2025-08-14T22:32:57.3633588Z CONTAINER_NAME: 7544b9dcbfaf82a0dbe9e5dc05c11311ecbd74c9ca7e1ca566ad3b6c1dae3655 2025-08-14T22:32:57.3633771Z ##[endgroup] 2025-08-14T22:32:57.5436738Z Assuming role with OIDC 2025-08-14T22:32:57.7858604Z Authenticated as assumedRoleId AROAUPVRELQNA5GQHA6IA:GitHubActions 2025-08-14T22:32:57.8340934Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main 2025-08-14T22:32:57.8341245Z with: 2025-08-14T22:32:57.8341367Z benchmark-results-dir: test/test-reports 2025-08-14T22:32:57.8341511Z dry-run: false 2025-08-14T22:32:57.8341620Z schema-version: v3 2025-08-14T22:32:57.8341974Z github-token: *** 2025-08-14T22:32:57.8342084Z env: 2025-08-14T22:32:57.8342192Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:32:57.8342435Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:32:57.8342722Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:32:57.8343289Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:32:57.8343778Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:32:57.8344251Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:32:57.8344406Z AWS_REGION: us-east-1 2025-08-14T22:32:57.8344593Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:32:57.8344780Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:32:57.8347009Z AWS_SESSION_TOKEN: *** 2025-08-14T22:32:57.8347208Z CONTAINER_NAME: 7544b9dcbfaf82a0dbe9e5dc05c11311ecbd74c9ca7e1ca566ad3b6c1dae3655 2025-08-14T22:32:57.8347416Z ##[endgroup] 2025-08-14T22:32:57.8361990Z ##[group]Run set -eux 2025-08-14T22:32:57.8362135Z set -eux 2025-08-14T22:32:57.8362287Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-08-14T22:32:57.8362456Z  2025-08-14T22:32:57.8362552Z DEVICE_NAME="" 2025-08-14T22:32:57.8362668Z DEVICE_TYPE="" 2025-08-14T22:32:57.8366795Z  2025-08-14T22:32:57.8366909Z if command -v nvidia-smi; then 2025-08-14T22:32:57.8367098Z  # NB: I'm using PyTorch here to get the device name, however, it needs to 2025-08-14T22:32:57.8367326Z  # install the correct version of PyTorch manually for now. Any PyTorch 2025-08-14T22:32:57.8367538Z  # version is fine, I just use 2.7.1 to satify PYPIDEP linter 2025-08-14T22:32:57.8367711Z  python3 -mpip install torch==2.7.1 2025-08-14T22:32:57.8367854Z elif command -v rocminfo; then 2025-08-14T22:32:57.8368141Z  # NB: Installing torch on ROCm runner with pip here causes CI to fail 2025-08-14T22:32:57.8368352Z  # with a memoryview is too large error only on MI300 runners. Is pip 2025-08-14T22:32:57.8368565Z  # version on ROCm runner there too old? As a workaround, let's use the 2025-08-14T22:32:57.8368757Z  # GPU device name coming from rocminfo instead 2025-08-14T22:32:57.8368904Z  DEVICE_NAME=rocm 2025-08-14T22:32:57.8369096Z  DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs) 2025-08-14T22:32:57.8369282Z fi 2025-08-14T22:32:57.8369377Z  2025-08-14T22:32:57.8369587Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV 2025-08-14T22:32:57.8369751Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-08-14T22:32:57.8378043Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:32:57.8378195Z env: 2025-08-14T22:32:57.8378295Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:32:57.8378437Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:32:57.8378623Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:32:57.8378793Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:32:57.8379179Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:32:57.8379551Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:32:57.8382066Z AWS_REGION: us-east-1 2025-08-14T22:32:57.8382221Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:32:57.8382511Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:32:57.8384608Z AWS_SESSION_TOKEN: *** 2025-08-14T22:32:57.8384842Z CONTAINER_NAME: 7544b9dcbfaf82a0dbe9e5dc05c11311ecbd74c9ca7e1ca566ad3b6c1dae3655 2025-08-14T22:32:57.8385029Z ##[endgroup] 2025-08-14T22:32:57.8415788Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-08-14T22:32:58.0145933Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T22:32:58.7156783Z Collecting boto3==1.35.33 2025-08-14T22:32:58.8155504Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-08-14T22:32:58.8822985Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 139.1/139.1 KB 2.0 MB/s eta 0:00:00 2025-08-14T22:32:58.9766484Z Collecting psutil==7.0.0 2025-08-14T22:32:59.0036782Z 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) 2025-08-14T22:32:59.0363856Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 278.0/278.0 KB 8.7 MB/s eta 0:00:00 2025-08-14T22:32:59.0789625Z Collecting pynvml==12.0.0 2025-08-14T22:32:59.1052786Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-08-14T22:32:59.1474866Z Collecting jmespath<2.0.0,>=0.7.1 2025-08-14T22:32:59.1733759Z Downloading jmespath-1.0.1-py3-none-any.whl (20 kB) 2025-08-14T22:32:59.2133899Z Collecting s3transfer<0.11.0,>=0.10.0 2025-08-14T22:32:59.2394747Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-08-14T22:32:59.2445564Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 83.2/83.2 KB 21.7 MB/s eta 0:00:00 2025-08-14T22:32:59.6011164Z Collecting botocore<1.36.0,>=1.35.33 2025-08-14T22:32:59.6292297Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-08-14T22:32:59.9499382Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 13.3/13.3 MB 41.5 MB/s eta 0:00:00 2025-08-14T22:33:00.0455307Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-08-14T22:33:00.0727107Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-08-14T22:33:00.0764984Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 47.5/47.5 KB 20.0 MB/s eta 0:00:00 2025-08-14T22:33:00.1224104Z Collecting python-dateutil<3.0.0,>=2.1 2025-08-14T22:33:00.1493515Z Downloading python_dateutil-2.9.0.post0-py2.py3-none-any.whl (229 kB) 2025-08-14T22:33:00.1534002Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 229.9/229.9 KB 97.0 MB/s eta 0:00:00 2025-08-14T22:33:00.1553544Z 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) 2025-08-14T22:33:00.2202956Z 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) 2025-08-14T22:33:00.3002778Z Installing collected packages: nvidia-ml-py, python-dateutil, pynvml, psutil, jmespath, botocore, s3transfer, boto3 2025-08-14T22:33:00.6566388Z 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 2025-08-14T22:33:00.7486827Z + DEVICE_NAME= 2025-08-14T22:33:00.7488291Z + DEVICE_TYPE= 2025-08-14T22:33:00.7488575Z + command -v nvidia-smi 2025-08-14T22:33:00.7488776Z + command -v rocminfo 2025-08-14T22:33:00.7488941Z + DEVICE_NAME=rocm 2025-08-14T22:33:00.7498251Z /usr/bin/rocminfo 2025-08-14T22:33:00.7498623Z ++ rocminfo 2025-08-14T22:33:00.7498784Z ++ grep 'Marketing Name' 2025-08-14T22:33:00.7498963Z ++ tail -n1 2025-08-14T22:33:00.7499117Z ++ awk -F: '{print $2}' 2025-08-14T22:33:00.7499273Z ++ xargs 2025-08-14T22:33:00.8161999Z + DEVICE_TYPE='AMD Instinct Mi325X VF' 2025-08-14T22:33:00.8162244Z + echo DEVICE_NAME=rocm 2025-08-14T22:33:00.8163534Z + echo 'DEVICE_TYPE=AMD Instinct Mi325X VF' 2025-08-14T22:33:00.8196344Z ##[group]Run set -eux 2025-08-14T22:33:00.8198591Z set -eux 2025-08-14T22:33:00.8198707Z  2025-08-14T22:33:00.8198817Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-08-14T22:33:00.8199127Z  echo "Missing github-token input" 2025-08-14T22:33:00.8199260Z  exit 1 2025-08-14T22:33:00.8199449Z fi 2025-08-14T22:33:00.8204667Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:33:00.8204820Z env: 2025-08-14T22:33:00.8207002Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:33:00.8207157Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:33:00.8207343Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:33:00.8207516Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:33:00.8208068Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:33:00.8208452Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:33:00.8208573Z AWS_REGION: us-east-1 2025-08-14T22:33:00.8208735Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:33:00.8208907Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:33:00.8212700Z AWS_SESSION_TOKEN: *** 2025-08-14T22:33:00.8212892Z CONTAINER_NAME: 7544b9dcbfaf82a0dbe9e5dc05c11311ecbd74c9ca7e1ca566ad3b6c1dae3655 2025-08-14T22:33:00.8213084Z DEVICE_NAME: rocm 2025-08-14T22:33:00.8213201Z DEVICE_TYPE: AMD Instinct Mi325X VF 2025-08-14T22:33:00.8213417Z GITHUB_TOKEN: *** 2025-08-14T22:33:00.8213521Z ##[endgroup] 2025-08-14T22:33:00.8238732Z + [[ -z *** ]] 2025-08-14T22:33:00.8283023Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-08-14T22:33:00.8283199Z with: 2025-08-14T22:33:00.8283359Z github-token: *** 2025-08-14T22:33:00.8283458Z env: 2025-08-14T22:33:00.8283555Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:33:00.8285296Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:33:00.8285590Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:33:00.8285762Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:33:00.8286255Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:33:00.8286641Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:33:00.8286761Z AWS_REGION: us-east-1 2025-08-14T22:33:00.8286886Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:33:00.8287040Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:33:00.8289163Z AWS_SESSION_TOKEN: *** 2025-08-14T22:33:00.8290849Z CONTAINER_NAME: 7544b9dcbfaf82a0dbe9e5dc05c11311ecbd74c9ca7e1ca566ad3b6c1dae3655 2025-08-14T22:33:00.8291042Z DEVICE_NAME: rocm 2025-08-14T22:33:00.8291154Z DEVICE_TYPE: AMD Instinct Mi325X VF 2025-08-14T22:33:00.8291278Z ##[endgroup] 2025-08-14T22:33:00.8303076Z ##[group]Run set -eux 2025-08-14T22:33:00.8303201Z set -eux 2025-08-14T22:33:00.8303298Z  2025-08-14T22:33:00.8303491Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-08-14T22:33:00.8310987Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:33:00.8311140Z env: 2025-08-14T22:33:00.8311234Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:33:00.8311372Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:33:00.8311551Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:33:00.8311719Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:33:00.8312103Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:33:00.8312472Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:33:00.8314442Z AWS_REGION: us-east-1 2025-08-14T22:33:00.8314577Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:33:00.8314733Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:33:00.8316755Z AWS_SESSION_TOKEN: *** 2025-08-14T22:33:00.8317066Z CONTAINER_NAME: 7544b9dcbfaf82a0dbe9e5dc05c11311ecbd74c9ca7e1ca566ad3b6c1dae3655 2025-08-14T22:33:00.8317327Z DEVICE_NAME: rocm 2025-08-14T22:33:00.8317437Z DEVICE_TYPE: AMD Instinct Mi325X VF 2025-08-14T22:33:00.8317609Z GITHUB_TOKEN: *** 2025-08-14T22:33:00.8317707Z ##[endgroup] 2025-08-14T22:33:00.8343775Z + python3 /home/runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 16976338999 linux.rocm.gpu.gfx942.1-ccq8d-runner-2pgm2 2025-08-14T22:33:03.0472414Z setting job-id=48128598958 2025-08-14T22:33:03.0472765Z setting job-name=rocm-py3_10-periodic-dynamo-benchmarks / test (aot_eager_torchbench, 1, 2, linux.rocm.gpu.gfx942.1) 2025-08-14T22:33:03.0588674Z ##[group]Run set -eux 2025-08-14T22:33:03.0588835Z set -eux 2025-08-14T22:33:03.0588933Z  2025-08-14T22:33:03.0589094Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-08-14T22:33:03.0589322Z  --schema-version "${SCHEMA_VERSION}" \ 2025-08-14T22:33:03.0589467Z  --repo "${REPO}" \ 2025-08-14T22:33:03.0589610Z  --head-branch "${HEAD_BRANCH}" \ 2025-08-14T22:33:03.0589744Z  --head-sha "${HEAD_SHA}" \ 2025-08-14T22:33:03.0589881Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-08-14T22:33:03.0591694Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-08-14T22:33:03.0591836Z  --job-id "${JOB_ID}" \ 2025-08-14T22:33:03.0591964Z  --job-name "${JOB_NAME}" 2025-08-14T22:33:03.0597446Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:33:03.0597595Z env: 2025-08-14T22:33:03.0597692Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:33:03.0597833Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:33:03.0598258Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:33:03.0600347Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:33:03.0600751Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:33:03.0601229Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:33:03.0601348Z AWS_REGION: us-east-1 2025-08-14T22:33:03.0601512Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:33:03.0601670Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:33:03.0603711Z AWS_SESSION_TOKEN: *** 2025-08-14T22:33:03.0603892Z CONTAINER_NAME: 7544b9dcbfaf82a0dbe9e5dc05c11311ecbd74c9ca7e1ca566ad3b6c1dae3655 2025-08-14T22:33:03.0604080Z DEVICE_NAME: rocm 2025-08-14T22:33:03.0606277Z DEVICE_TYPE: AMD Instinct Mi325X VF 2025-08-14T22:33:03.0606414Z SCHEMA_VERSION: v3 2025-08-14T22:33:03.0606524Z REPO: pytorch/pytorch 2025-08-14T22:33:03.0606636Z HEAD_BRANCH: refs/heads/main 2025-08-14T22:33:03.0606775Z HEAD_SHA: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T22:33:03.0606913Z WORKFLOW_RUN_ID: 16976338999 2025-08-14T22:33:03.0607034Z RUN_ATTEMPT: 1 2025-08-14T22:33:03.0607133Z JOB_ID: 48128598958 2025-08-14T22:33:03.0607345Z JOB_NAME: rocm-py3_10-periodic-dynamo-benchmarks / test (aot_eager_torchbench, 1, 2, linux.rocm.gpu.gfx942.1) 2025-08-14T22:33:03.0607566Z ##[endgroup] 2025-08-14T22:33:03.0631586Z + 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 48128598958 --job-name 'rocm-py3_10-periodic-dynamo-benchmarks / test (aot_eager_torchbench, 1, 2, linux.rocm.gpu.gfx942.1)' 2025-08-14T22:33:03.0798549Z ##[group]Run set -eux 2025-08-14T22:33:03.0798725Z set -eux 2025-08-14T22:33:03.0798837Z  2025-08-14T22:33:03.0799015Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-08-14T22:33:03.0805090Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:33:03.0805252Z env: 2025-08-14T22:33:03.0805433Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:33:03.0805694Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:33:03.0805884Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:33:03.0806059Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:33:03.0806449Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:33:03.0806827Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:33:03.0810406Z AWS_REGION: us-east-1 2025-08-14T22:33:03.0810609Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:33:03.0810768Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:33:03.0812807Z AWS_SESSION_TOKEN: *** 2025-08-14T22:33:03.0812997Z CONTAINER_NAME: 7544b9dcbfaf82a0dbe9e5dc05c11311ecbd74c9ca7e1ca566ad3b6c1dae3655 2025-08-14T22:33:03.0813189Z DEVICE_NAME: rocm 2025-08-14T22:33:03.0813303Z DEVICE_TYPE: AMD Instinct Mi325X VF 2025-08-14T22:33:03.0813431Z ##[endgroup] 2025-08-14T22:33:03.0839614Z + python3 /home/runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-08-14T22:33:03.1044814Z INFO:root:Fail to import torch to get the device name 2025-08-14T22:33:03.1116543Z ##[group]Run set -eux 2025-08-14T22:33:03.1116694Z set -eux 2025-08-14T22:33:03.1116791Z  2025-08-14T22:33:03.1116905Z # TODO (huydhn): Implement this part 2025-08-14T22:33:03.1117062Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-08-14T22:33:03.1122733Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:33:03.1124841Z env: 2025-08-14T22:33:03.1124951Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:33:03.1125105Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:33:03.1125388Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:33:03.1125671Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:33:03.1126054Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:33:03.1126427Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:33:03.1126547Z AWS_REGION: us-east-1 2025-08-14T22:33:03.1126722Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:33:03.1128757Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:33:03.1130788Z AWS_SESSION_TOKEN: *** 2025-08-14T22:33:03.1130971Z CONTAINER_NAME: 7544b9dcbfaf82a0dbe9e5dc05c11311ecbd74c9ca7e1ca566ad3b6c1dae3655 2025-08-14T22:33:03.1131159Z DEVICE_NAME: rocm 2025-08-14T22:33:03.1131271Z DEVICE_TYPE: AMD Instinct Mi325X VF 2025-08-14T22:33:03.1131399Z ##[endgroup] 2025-08-14T22:33:03.1155060Z + echo 'dependencies={}' 2025-08-14T22:33:03.1176620Z ##[group]Run set -eux 2025-08-14T22:33:03.1176761Z set -eux 2025-08-14T22:33:03.1176868Z  2025-08-14T22:33:03.1176986Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-08-14T22:33:03.1177165Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-08-14T22:33:03.1179187Z  # We don't want the job to fail if the directory doesn't exist 2025-08-14T22:33:03.1179343Z  exit 0 2025-08-14T22:33:03.1179442Z fi 2025-08-14T22:33:03.1179535Z  2025-08-14T22:33:03.1179641Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-08-14T22:33:03.1179834Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-08-14T22:33:03.1180059Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-08-14T22:33:03.1180231Z  --metadata "${BENCHMARK_METADATA}" \ 2025-08-14T22:33:03.1180542Z  --runners "${RUNNER_INFO}" \ 2025-08-14T22:33:03.1182245Z  --dependencies "${DEPENDENCIES}" \ 2025-08-14T22:33:03.1182462Z  --dry-run 2025-08-14T22:33:03.1182567Z else 2025-08-14T22:33:03.1182723Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-08-14T22:33:03.1182933Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-08-14T22:33:03.1183099Z  --metadata "${BENCHMARK_METADATA}" \ 2025-08-14T22:33:03.1183240Z  --runners "${RUNNER_INFO}" \ 2025-08-14T22:33:03.1183382Z  --dependencies "${DEPENDENCIES}" 2025-08-14T22:33:03.1183507Z fi 2025-08-14T22:33:03.1190553Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:33:03.1190706Z env: 2025-08-14T22:33:03.1190804Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:33:03.1190945Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:33:03.1191133Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:33:03.1191305Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:33:03.1191699Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:33:03.1192069Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:33:03.1193944Z AWS_REGION: us-east-1 2025-08-14T22:33:03.1194110Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:33:03.1194272Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:33:03.1196328Z AWS_SESSION_TOKEN: *** 2025-08-14T22:33:03.1196507Z CONTAINER_NAME: 7544b9dcbfaf82a0dbe9e5dc05c11311ecbd74c9ca7e1ca566ad3b6c1dae3655 2025-08-14T22:33:03.1196697Z DEVICE_NAME: rocm 2025-08-14T22:33:03.1196809Z DEVICE_TYPE: AMD Instinct Mi325X VF 2025-08-14T22:33:03.1196947Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-08-14T22:33:03.1197075Z DRY_RUN: false 2025-08-14T22:33:03.1199324Z BENCHMARK_METADATA: {"timestamp": 1755210783, "schema_version": "v3", "name": "rocm-py3_10-periodic-dynamo-benchmarks / test (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": 48128598958} 2025-08-14T22:33:03.1200029Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 160, "avail_mem_in_gb": 1259, "extra_info": {"hostname": "linux.rocm.gpu.gfx942.1-ccq8d-runner-2pgm2"}, "name": "rocm", "type": "AMD Instinct Mi325X VF"}] 2025-08-14T22:33:03.1200330Z DEPENDENCIES: {} 2025-08-14T22:33:03.1200434Z ##[endgroup] 2025-08-14T22:33:03.1218586Z + [[ ! -d test/test-reports ]] 2025-08-14T22:33:03.1225506Z + [[ false == \t\r\u\e ]] 2025-08-14T22:33:03.1226894Z + 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": 1755210783, "schema_version": "v3", "name": "rocm-py3_10-periodic-dynamo-benchmarks / test (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": 48128598958}' --runners '[{"cpu_info": "x86_64", "cpu_count": 160, "avail_mem_in_gb": 1259, "extra_info": {"hostname": "linux.rocm.gpu.gfx942.1-ccq8d-runner-2pgm2"}, "name": "rocm", "type": "AMD Instinct Mi325X VF"}]' --dependencies '{}' 2025-08-14T22:33:03.1915045Z INFO:root:Upload test/test-reports/inference_torchbench.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976338999/48128598958/inference_torchbench.json 2025-08-14T22:33:03.2077619Z INFO:botocore.credentials:Found credentials in environment variables. 2025-08-14T22:33:03.4478619Z INFO:root:Upload test/test-reports/training_torchbench.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976338999/48128598958/training_torchbench.json 2025-08-14T22:33:03.6291271Z Prepare all required actions 2025-08-14T22:33:03.6291481Z Getting action download info 2025-08-14T22:33:03.6312242Z ##[group]Run ./.github/actions/teardown-rocm 2025-08-14T22:33:03.6314997Z env: 2025-08-14T22:33:03.6315103Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:33:03.6315247Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:33:03.6315429Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:33:03.6315601Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:33:03.6315991Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:33:03.6316368Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:33:03.6316490Z AWS_REGION: us-east-1 2025-08-14T22:33:03.6316649Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:33:03.6318889Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:33:03.6320954Z AWS_SESSION_TOKEN: *** 2025-08-14T22:33:03.6321135Z CONTAINER_NAME: 7544b9dcbfaf82a0dbe9e5dc05c11311ecbd74c9ca7e1ca566ad3b6c1dae3655 2025-08-14T22:33:03.6321330Z DEVICE_NAME: rocm 2025-08-14T22:33:03.6321439Z DEVICE_TYPE: AMD Instinct Mi325X VF 2025-08-14T22:33:03.6321564Z ##[endgroup] 2025-08-14T22:33:03.6333980Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T22:33:03.6334208Z # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T22:33:03.6336434Z # shellcheck disable=SC2046 2025-08-14T22:33:03.6336579Z docker stop $(docker ps -q) || true 2025-08-14T22:33:03.6336720Z # Prune all stopped containers. 2025-08-14T22:33:03.6336857Z docker container prune -f 2025-08-14T22:33:03.6342197Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:33:03.6342348Z env: 2025-08-14T22:33:03.6342443Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:33:03.6342656Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:33:03.6344982Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:33:03.6345162Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:33:03.6345550Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:33:03.6345928Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:33:03.6346050Z AWS_REGION: us-east-1 2025-08-14T22:33:03.6346184Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:33:03.6346338Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:33:03.6348496Z AWS_SESSION_TOKEN: *** 2025-08-14T22:33:03.6348677Z CONTAINER_NAME: 7544b9dcbfaf82a0dbe9e5dc05c11311ecbd74c9ca7e1ca566ad3b6c1dae3655 2025-08-14T22:33:03.6350835Z DEVICE_NAME: rocm 2025-08-14T22:33:03.6350949Z DEVICE_TYPE: AMD Instinct Mi325X VF 2025-08-14T22:33:03.6351080Z ##[endgroup] 2025-08-14T22:33:45.2741569Z 7544b9dcbfaf 2025-08-14T22:33:48.5166106Z Deleted Containers: 2025-08-14T22:33:48.5166751Z 7544b9dcbfaf82a0dbe9e5dc05c11311ecbd74c9ca7e1ca566ad3b6c1dae3655 2025-08-14T22:33:48.5167123Z 2025-08-14T22:33:48.5177006Z Total reclaimed space: 11.82GB 2025-08-14T22:33:48.5209699Z Prepare all required actions 2025-08-14T22:33:48.5232186Z ##[group]Run ./.github/actions/diskspace-cleanup 2025-08-14T22:33:48.5232400Z with: 2025-08-14T22:33:48.5232546Z diskspace-cutoff: 70 2025-08-14T22:33:48.5232819Z env: 2025-08-14T22:33:48.5232960Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:33:48.5234813Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:33:48.5235001Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:33:48.5235173Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:33:48.5235731Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:33:48.5236244Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:33:48.5236367Z AWS_REGION: us-east-1 2025-08-14T22:33:48.5236523Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:33:48.5236677Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:33:48.5240199Z AWS_SESSION_TOKEN: *** 2025-08-14T22:33:48.5240387Z CONTAINER_NAME: 7544b9dcbfaf82a0dbe9e5dc05c11311ecbd74c9ca7e1ca566ad3b6c1dae3655 2025-08-14T22:33:48.5240573Z DEVICE_NAME: rocm 2025-08-14T22:33:48.5240682Z DEVICE_TYPE: AMD Instinct Mi325X VF 2025-08-14T22:33:48.5240805Z ##[endgroup] 2025-08-14T22:33:48.5255214Z ##[group]Run set -ex 2025-08-14T22:33:48.5257380Z set -ex 2025-08-14T22:33:48.5257488Z diskspace_cutoff=70 2025-08-14T22:33:48.5257645Z docker_root_dir=$(docker info -f '{{.DockerRootDir}}') 2025-08-14T22:33:48.5257816Z if [ ! -d "$docker_root_dir" ]; then 2025-08-14T22:33:48.5258153Z  echo "Docker root directory ($docker_root_dir) does not exist. Skipping disk space check." 2025-08-14T22:33:48.5258348Z  exit 0 2025-08-14T22:33:48.5258447Z fi 2025-08-14T22:33:48.5258620Z diskspace=$(df -H --output=pcent ${docker_root_dir} | sed -n 2p | sed 's/%//' | sed 's/ //') 2025-08-14T22:33:48.5258951Z msg="Please file an issue on pytorch/pytorch reporting the faulty runner. Include a link to the runner logs so the runner can be identified" 2025-08-14T22:33:48.5260885Z if [[ "$diskspace" -ge "$diskspace_cutoff" ]] ; then 2025-08-14T22:33:48.5261040Z  docker system prune -af 2025-08-14T22:33:48.5261243Z  diskspace_new=$(df -H --output=pcent ${docker_root_dir} | sed -n 2p | sed 's/%//' | sed 's/ //') 2025-08-14T22:33:48.5261464Z  if [[ "$diskspace_new" -gt "$diskspace_cutoff" ]] ; then 2025-08-14T22:33:48.5261697Z  echo "Error: Available diskspace is less than $diskspace_cutoff percent. Not enough diskspace." 2025-08-14T22:33:48.5261981Z  echo "$msg" 2025-08-14T22:33:48.5262101Z  exit 1 2025-08-14T22:33:48.5262205Z  else 2025-08-14T22:33:48.5262330Z  difference=$((diskspace - diskspace_new)) 2025-08-14T22:33:48.5262495Z  echo "Diskspace saved: $difference percent" 2025-08-14T22:33:48.5262632Z  fi 2025-08-14T22:33:48.5262726Z fi 2025-08-14T22:33:48.5269727Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:33:48.5269904Z env: 2025-08-14T22:33:48.5270050Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:33:48.5270260Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:33:48.5270500Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:33:48.5270691Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:33:48.5271286Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD185 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:33:48.5271770Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:33:48.5273652Z AWS_REGION: us-east-1 2025-08-14T22:33:48.5273837Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:33:48.5274026Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:33:48.5276050Z AWS_SESSION_TOKEN: *** 2025-08-14T22:33:48.5276226Z CONTAINER_NAME: 7544b9dcbfaf82a0dbe9e5dc05c11311ecbd74c9ca7e1ca566ad3b6c1dae3655 2025-08-14T22:33:48.5276412Z DEVICE_NAME: rocm 2025-08-14T22:33:48.5276523Z DEVICE_TYPE: AMD Instinct Mi325X VF 2025-08-14T22:33:48.5276646Z ##[endgroup] 2025-08-14T22:33:48.5305150Z + diskspace_cutoff=70 2025-08-14T22:33:48.5308529Z ++ docker info -f '{{.DockerRootDir}}' 2025-08-14T22:33:48.5689067Z + docker_root_dir=/home/runner/docker-data 2025-08-14T22:33:48.5689325Z + '[' '!' -d /home/runner/docker-data ']' 2025-08-14T22:33:48.5697146Z ++ df -H --output=pcent /home/runner/docker-data 2025-08-14T22:33:48.5703566Z ++ sed -n 2p 2025-08-14T22:33:48.5703729Z ++ sed s/%// 2025-08-14T22:33:48.5704068Z ++ sed 's/ //' 2025-08-14T22:33:48.5711452Z + diskspace=24 2025-08-14T22:33:48.5711727Z + 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' 2025-08-14T22:33:48.5711982Z + [[ 24 -ge 70 ]] 2025-08-14T22:33:48.5750291Z Post job cleanup. 2025-08-14T22:33:48.5783799Z Post job cleanup. 2025-08-14T22:33:48.6417000Z Post job cleanup. 2025-08-14T22:33:48.6641091Z Logging out of registry 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T22:33:48.6865597Z Post job cleanup. 2025-08-14T22:33:48.7520145Z Post job cleanup. 2025-08-14T22:33:48.7551071Z Post job cleanup. 2025-08-14T22:33:48.8033180Z [command]/usr/bin/git version 2025-08-14T22:33:48.8056954Z git version 2.50.1 2025-08-14T22:33:48.8074648Z Copying '/home/runner/.gitconfig' to '/home/runner/_work/_temp/383aafe0-8cd5-4e61-8cdd-24c056df5404/.gitconfig' 2025-08-14T22:33:48.8080335Z Temporarily overriding HOME='/home/runner/_work/_temp/383aafe0-8cd5-4e61-8cdd-24c056df5404' before making global git config changes 2025-08-14T22:33:48.8080753Z Adding repository directory to the temporary git global config as a safe directory 2025-08-14T22:33:48.8082379Z [command]/usr/bin/git config --global --add safe.directory /home/runner/_work/pytorch/pytorch 2025-08-14T22:33:48.8106006Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-08-14T22:33:48.8129620Z [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' || :" 2025-08-14T22:33:48.8326033Z Entering 'android/libs/fbjni' 2025-08-14T22:33:48.8367631Z Entering 'third_party/FP16' 2025-08-14T22:33:48.8404223Z Entering 'third_party/FXdiv' 2025-08-14T22:33:48.8435413Z Entering 'third_party/NNPACK' 2025-08-14T22:33:48.8474742Z Entering 'third_party/NVTX' 2025-08-14T22:33:48.8511547Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T22:33:48.8551124Z Entering 'third_party/XNNPACK' 2025-08-14T22:33:48.8599598Z Entering 'third_party/aiter' 2025-08-14T22:33:48.8631166Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T22:33:48.8664649Z Entering 'third_party/benchmark' 2025-08-14T22:33:48.8697183Z Entering 'third_party/composable_kernel' 2025-08-14T22:33:48.8732711Z Entering 'third_party/cpp-httplib' 2025-08-14T22:33:48.8755851Z Entering 'third_party/cpuinfo' 2025-08-14T22:33:48.8780966Z Entering 'third_party/cudnn_frontend' 2025-08-14T22:33:48.8815734Z Entering 'third_party/cutlass' 2025-08-14T22:33:48.8859257Z Entering 'third_party/fbgemm' 2025-08-14T22:33:48.8902215Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T22:33:48.8945899Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T22:33:48.8993176Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T22:33:48.9033860Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T22:33:48.9065309Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T22:33:48.9108357Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T22:33:48.9153561Z Entering 'third_party/fbgemm/external/json' 2025-08-14T22:33:48.9199756Z Entering 'third_party/flash-attention' 2025-08-14T22:33:48.9234804Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T22:33:48.9263645Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T22:33:48.9296717Z Entering 'third_party/flatbuffers' 2025-08-14T22:33:48.9331535Z Entering 'third_party/fmt' 2025-08-14T22:33:48.9362060Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T22:33:48.9396746Z Entering 'third_party/gloo' 2025-08-14T22:33:48.9434553Z Entering 'third_party/googletest' 2025-08-14T22:33:48.9471478Z Entering 'third_party/ideep' 2025-08-14T22:33:48.9505246Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T22:33:48.9542810Z Entering 'third_party/ittapi' 2025-08-14T22:33:48.9577030Z Entering 'third_party/kineto' 2025-08-14T22:33:48.9605181Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T22:33:48.9631521Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T22:33:48.9670388Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T22:33:48.9703124Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T22:33:48.9744782Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T22:33:48.9772969Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T22:33:48.9808997Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T22:33:48.9839932Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T22:33:48.9866594Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T22:33:48.9890579Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T22:33:48.9914112Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T22:33:48.9953261Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T22:33:48.9978892Z Entering 'third_party/kleidiai' 2025-08-14T22:33:49.0002528Z Entering 'third_party/mimalloc' 2025-08-14T22:33:49.0029580Z Entering 'third_party/nlohmann' 2025-08-14T22:33:49.0058994Z Entering 'third_party/onnx' 2025-08-14T22:33:49.0093213Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T22:33:49.0123545Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T22:33:49.0148776Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T22:33:49.0177848Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T22:33:49.0212927Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T22:33:49.0244705Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T22:33:49.0268106Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T22:33:49.0292857Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T22:33:49.0318170Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T22:33:49.0360685Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T22:33:49.0403812Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T22:33:49.0439048Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T22:33:49.0493146Z Entering 'third_party/pocketfft' 2025-08-14T22:33:49.0526634Z Entering 'third_party/protobuf' 2025-08-14T22:33:49.0559199Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T22:33:49.0584770Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T22:33:49.0620302Z Entering 'third_party/psimd' 2025-08-14T22:33:49.0646187Z Entering 'third_party/pthreadpool' 2025-08-14T22:33:49.0674202Z Entering 'third_party/pybind11' 2025-08-14T22:33:49.0706537Z Entering 'third_party/python-peachpy' 2025-08-14T22:33:49.0731266Z Entering 'third_party/sleef' 2025-08-14T22:33:49.0754488Z Entering 'third_party/tensorpipe' 2025-08-14T22:33:49.0780919Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T22:33:49.0813716Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T22:33:49.0838928Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T22:33:49.0876281Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T22:33:49.0912138Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T22:33:49.0973909Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-08-14T22:33:49.0988595Z http.https://github.com/.extraheader 2025-08-14T22:33:49.0995597Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-08-14T22:33:49.1013168Z [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' || :" 2025-08-14T22:33:49.1200725Z Entering 'android/libs/fbjni' 2025-08-14T22:33:49.1216587Z http.https://github.com/.extraheader 2025-08-14T22:33:49.1235388Z Entering 'third_party/FP16' 2025-08-14T22:33:49.1254803Z http.https://github.com/.extraheader 2025-08-14T22:33:49.1278151Z Entering 'third_party/FXdiv' 2025-08-14T22:33:49.1303198Z http.https://github.com/.extraheader 2025-08-14T22:33:49.1314987Z Entering 'third_party/NNPACK' 2025-08-14T22:33:49.1330301Z http.https://github.com/.extraheader 2025-08-14T22:33:49.1349690Z Entering 'third_party/NVTX' 2025-08-14T22:33:49.1368652Z http.https://github.com/.extraheader 2025-08-14T22:33:49.1386718Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T22:33:49.1412877Z http.https://github.com/.extraheader 2025-08-14T22:33:49.1440039Z Entering 'third_party/XNNPACK' 2025-08-14T22:33:49.1461735Z http.https://github.com/.extraheader 2025-08-14T22:33:49.1498511Z Entering 'third_party/aiter' 2025-08-14T22:33:49.1514139Z http.https://github.com/.extraheader 2025-08-14T22:33:49.1542795Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T22:33:49.1572431Z http.https://github.com/.extraheader 2025-08-14T22:33:49.1597108Z Entering 'third_party/benchmark' 2025-08-14T22:33:49.1615941Z http.https://github.com/.extraheader 2025-08-14T22:33:49.1643497Z Entering 'third_party/composable_kernel' 2025-08-14T22:33:49.1663378Z http.https://github.com/.extraheader 2025-08-14T22:33:49.1689462Z Entering 'third_party/cpp-httplib' 2025-08-14T22:33:49.1704094Z http.https://github.com/.extraheader 2025-08-14T22:33:49.1723190Z Entering 'third_party/cpuinfo' 2025-08-14T22:33:49.1746653Z http.https://github.com/.extraheader 2025-08-14T22:33:49.1766852Z Entering 'third_party/cudnn_frontend' 2025-08-14T22:33:49.1789511Z http.https://github.com/.extraheader 2025-08-14T22:33:49.1817567Z Entering 'third_party/cutlass' 2025-08-14T22:33:49.1843832Z http.https://github.com/.extraheader 2025-08-14T22:33:49.1877548Z Entering 'third_party/fbgemm' 2025-08-14T22:33:49.1904774Z http.https://github.com/.extraheader 2025-08-14T22:33:49.1927127Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T22:33:49.1951224Z http.https://github.com/.extraheader 2025-08-14T22:33:49.1971856Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T22:33:49.2003161Z http.https://github.com/.extraheader 2025-08-14T22:33:49.2025449Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T22:33:49.2050950Z http.https://github.com/.extraheader 2025-08-14T22:33:49.2072136Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T22:33:49.2097846Z http.https://github.com/.extraheader 2025-08-14T22:33:49.2129289Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T22:33:49.2146277Z http.https://github.com/.extraheader 2025-08-14T22:33:49.2176444Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T22:33:49.2196306Z http.https://github.com/.extraheader 2025-08-14T22:33:49.2226142Z Entering 'third_party/fbgemm/external/json' 2025-08-14T22:33:49.2244023Z http.https://github.com/.extraheader 2025-08-14T22:33:49.2273570Z Entering 'third_party/flash-attention' 2025-08-14T22:33:49.2289854Z http.https://github.com/.extraheader 2025-08-14T22:33:49.2312068Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T22:33:49.2331050Z http.https://github.com/.extraheader 2025-08-14T22:33:49.2356300Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T22:33:49.2379523Z http.https://github.com/.extraheader 2025-08-14T22:33:49.2401367Z Entering 'third_party/flatbuffers' 2025-08-14T22:33:49.2421366Z http.https://github.com/.extraheader 2025-08-14T22:33:49.2447180Z Entering 'third_party/fmt' 2025-08-14T22:33:49.2471029Z http.https://github.com/.extraheader 2025-08-14T22:33:49.2495121Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T22:33:49.2514456Z http.https://github.com/.extraheader 2025-08-14T22:33:49.2535414Z Entering 'third_party/gloo' 2025-08-14T22:33:49.2566912Z http.https://github.com/.extraheader 2025-08-14T22:33:49.2599283Z Entering 'third_party/googletest' 2025-08-14T22:33:49.2626740Z http.https://github.com/.extraheader 2025-08-14T22:33:49.2639877Z Entering 'third_party/ideep' 2025-08-14T22:33:49.2670920Z http.https://github.com/.extraheader 2025-08-14T22:33:49.2701036Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T22:33:49.2718010Z http.https://github.com/.extraheader 2025-08-14T22:33:49.2744321Z Entering 'third_party/ittapi' 2025-08-14T22:33:49.2764445Z http.https://github.com/.extraheader 2025-08-14T22:33:49.2784738Z Entering 'third_party/kineto' 2025-08-14T22:33:49.2812403Z http.https://github.com/.extraheader 2025-08-14T22:33:49.2841036Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T22:33:49.2854226Z http.https://github.com/.extraheader 2025-08-14T22:33:49.2882167Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T22:33:49.2903055Z http.https://github.com/.extraheader 2025-08-14T22:33:49.2925095Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T22:33:49.2942174Z http.https://github.com/.extraheader 2025-08-14T22:33:49.2963243Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T22:33:49.2979850Z http.https://github.com/.extraheader 2025-08-14T22:33:49.3006326Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T22:33:49.3030624Z http.https://github.com/.extraheader 2025-08-14T22:33:49.3054929Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T22:33:49.3079960Z http.https://github.com/.extraheader 2025-08-14T22:33:49.3106104Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T22:33:49.3121959Z http.https://github.com/.extraheader 2025-08-14T22:33:49.3145888Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T22:33:49.3166585Z http.https://github.com/.extraheader 2025-08-14T22:33:49.3193745Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T22:33:49.3210760Z http.https://github.com/.extraheader 2025-08-14T22:33:49.3231971Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T22:33:49.3254940Z http.https://github.com/.extraheader 2025-08-14T22:33:49.3284527Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T22:33:49.3305309Z http.https://github.com/.extraheader 2025-08-14T22:33:49.3325788Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T22:33:49.3347483Z http.https://github.com/.extraheader 2025-08-14T22:33:49.3376016Z Entering 'third_party/kleidiai' 2025-08-14T22:33:49.3393164Z http.https://github.com/.extraheader 2025-08-14T22:33:49.3417529Z Entering 'third_party/mimalloc' 2025-08-14T22:33:49.3438007Z http.https://github.com/.extraheader 2025-08-14T22:33:49.3459889Z Entering 'third_party/nlohmann' 2025-08-14T22:33:49.3476284Z http.https://github.com/.extraheader 2025-08-14T22:33:49.3495289Z Entering 'third_party/onnx' 2025-08-14T22:33:49.3515143Z http.https://github.com/.extraheader 2025-08-14T22:33:49.3550380Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T22:33:49.3564392Z http.https://github.com/.extraheader 2025-08-14T22:33:49.3584142Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T22:33:49.3601894Z http.https://github.com/.extraheader 2025-08-14T22:33:49.3621855Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T22:33:49.3642041Z http.https://github.com/.extraheader 2025-08-14T22:33:49.3664001Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T22:33:49.3684753Z http.https://github.com/.extraheader 2025-08-14T22:33:49.3713205Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T22:33:49.3728813Z http.https://github.com/.extraheader 2025-08-14T22:33:49.3746841Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T22:33:49.3760389Z http.https://github.com/.extraheader 2025-08-14T22:33:49.3778889Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T22:33:49.3793197Z http.https://github.com/.extraheader 2025-08-14T22:33:49.3811508Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T22:33:49.3825582Z http.https://github.com/.extraheader 2025-08-14T22:33:49.3844591Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T22:33:49.3864554Z http.https://github.com/.extraheader 2025-08-14T22:33:49.3884609Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T22:33:49.3908821Z http.https://github.com/.extraheader 2025-08-14T22:33:49.3934718Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T22:33:49.3953445Z http.https://github.com/.extraheader 2025-08-14T22:33:49.3983651Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T22:33:49.4001363Z http.https://github.com/.extraheader 2025-08-14T22:33:49.4028390Z Entering 'third_party/pocketfft' 2025-08-14T22:33:49.4042600Z http.https://github.com/.extraheader 2025-08-14T22:33:49.4060849Z Entering 'third_party/protobuf' 2025-08-14T22:33:49.4074966Z http.https://github.com/.extraheader 2025-08-14T22:33:49.4094344Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T22:33:49.4107968Z http.https://github.com/.extraheader 2025-08-14T22:33:49.4129566Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T22:33:49.4144224Z http.https://github.com/.extraheader 2025-08-14T22:33:49.4167117Z Entering 'third_party/psimd' 2025-08-14T22:33:49.4182096Z http.https://github.com/.extraheader 2025-08-14T22:33:49.4206440Z Entering 'third_party/pthreadpool' 2025-08-14T22:33:49.4226895Z http.https://github.com/.extraheader 2025-08-14T22:33:49.4246679Z Entering 'third_party/pybind11' 2025-08-14T22:33:49.4260066Z http.https://github.com/.extraheader 2025-08-14T22:33:49.4281266Z Entering 'third_party/python-peachpy' 2025-08-14T22:33:49.4295340Z http.https://github.com/.extraheader 2025-08-14T22:33:49.4313067Z Entering 'third_party/sleef' 2025-08-14T22:33:49.4333293Z http.https://github.com/.extraheader 2025-08-14T22:33:49.4349799Z Entering 'third_party/tensorpipe' 2025-08-14T22:33:49.4371985Z http.https://github.com/.extraheader 2025-08-14T22:33:49.4392482Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T22:33:49.4407397Z http.https://github.com/.extraheader 2025-08-14T22:33:49.4433696Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T22:33:49.4450133Z http.https://github.com/.extraheader 2025-08-14T22:33:49.4475488Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T22:33:49.4496349Z http.https://github.com/.extraheader 2025-08-14T22:33:49.4517212Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T22:33:49.4531964Z http.https://github.com/.extraheader 2025-08-14T22:33:49.4551364Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T22:33:49.4571060Z http.https://github.com/.extraheader 2025-08-14T22:33:49.4713479Z Cleaning up orphan processes