2025-08-14T21:26:09.7219349Z Current runner version: '2.328.0' 2025-08-14T21:26:09.7222450Z Runner name: 'linux.rocm.gpu.gfx942.1-ccq8d-runner-g6tlr' 2025-08-14T21:26:09.7222855Z Runner group name: 'default' 2025-08-14T21:26:09.7223256Z Machine name: 'linux' 2025-08-14T21:26:09.7224432Z ##[group]GITHUB_TOKEN Permissions 2025-08-14T21:26:09.7225558Z Contents: read 2025-08-14T21:26:09.7225815Z Metadata: read 2025-08-14T21:26:09.7226049Z ##[endgroup] 2025-08-14T21:26:09.7227286Z Secret source: Actions 2025-08-14T21:26:09.7227623Z Prepare workflow directory 2025-08-14T21:26:09.7529412Z Prepare all required actions 2025-08-14T21:26:09.7549668Z Getting action download info 2025-08-14T21:26:10.0509691Z Download action repository 'pytorch/pytorch@main' (SHA:3be70dc30e893b552fc0f23ca06cd8f7949b6d08) 2025-08-14T21:26:12.5047700Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-08-14T21:26:12.9544642Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-08-14T21:26:13.2933372Z Download action repository 'pytorch/test-infra@main' (SHA:83f58f391e939c10dcb8cb6d745e4cefa3b98a84) 2025-08-14T21:26:13.9115202Z Download action repository 'actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-08-14T21:26:14.4173791Z Getting action download info 2025-08-14T21:26:14.5291290Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-08-14T21:26:14.9462744Z Getting action download info 2025-08-14T21:26:15.1171695Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-08-14T21:26:15.4628972Z Getting action download info 2025-08-14T21:26:15.6151207Z Uses: pytorch/pytorch/.github/workflows/_rocm-test.yml@refs/heads/main (1fc683cf17c8c673044538d10266c00f92987be2) 2025-08-14T21:26:15.6153132Z ##[group] Inputs 2025-08-14T21:26:15.6153275Z build-environment: linux-jammy-rocm-py3_10 2025-08-14T21:26:15.6154988Z 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"}]} 2025-08-14T21:26:15.6157007Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:26:15.6159735Z sync-tag: 2025-08-14T21:26:15.6160184Z timeout-minutes: 300 2025-08-14T21:26:15.6160279Z tests-to-include: 2025-08-14T21:26:15.6160563Z dashboard-tag: 2025-08-14T21:26:15.6160969Z disable-monitor: true 2025-08-14T21:26:15.6161080Z monitor-log-interval: 5 2025-08-14T21:26:15.6161201Z monitor-data-collect-interval: 1 2025-08-14T21:26:15.6161320Z ##[endgroup] 2025-08-14T21:26:15.6161529Z Complete job name: rocm-py3_10-periodic-dynamo-benchmarks / test (dynamo_eager_torchbench, 1, 2, linux.rocm.gpu.gfx942.1) 2025-08-14T21:26:15.6437224Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-08-14T21:26:15.6441084Z with: 2025-08-14T21:26:15.6441180Z no-sudo: true 2025-08-14T21:26:15.6441271Z submodules: recursive 2025-08-14T21:26:15.6441362Z fetch-depth: 0 2025-08-14T21:26:15.6441550Z env: 2025-08-14T21:26:15.6441646Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:26:15.6441760Z ##[endgroup] 2025-08-14T21:26:15.6492946Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:26:15.6493315Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:26:15.6501532Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:26:15.6501681Z env: 2025-08-14T21:26:15.6501766Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:26:15.6501862Z ##[endgroup] 2025-08-14T21:26:15.6640239Z ##[group]Run # Use all available CPUs for fetching 2025-08-14T21:26:15.6640517Z # Use all available CPUs for fetching 2025-08-14T21:26:15.6640739Z cd "${GITHUB_WORKSPACE}" 2025-08-14T21:26:15.6640884Z git config --global fetch.parallel 0 2025-08-14T21:26:15.6641035Z git config --global submodule.fetchJobs 0 2025-08-14T21:26:15.6641306Z  2025-08-14T21:26:15.6641452Z # Clean workspace. The default checkout action should also do this, but 2025-08-14T21:26:15.6641627Z # do it here as well just in case 2025-08-14T21:26:15.6641757Z if [[ -d .git ]]; then 2025-08-14T21:26:15.6641888Z  if [ -z "${NO_SUDO}" ]; then 2025-08-14T21:26:15.6649025Z  sudo git clean -ffdx 2025-08-14T21:26:15.6649137Z  else 2025-08-14T21:26:15.6649229Z  git clean -ffdx 2025-08-14T21:26:15.6649326Z  fi 2025-08-14T21:26:15.6649406Z fi 2025-08-14T21:26:15.6655434Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:26:15.6655575Z env: 2025-08-14T21:26:15.6655659Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:26:15.6655755Z NO_SUDO: true 2025-08-14T21:26:15.6655842Z ##[endgroup] 2025-08-14T21:26:15.6770056Z ##[group]Run actions/checkout@v4 2025-08-14T21:26:15.6770217Z with: 2025-08-14T21:26:15.6770325Z ref: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:26:15.6770451Z fetch-depth: 0 2025-08-14T21:26:15.6770542Z submodules: recursive 2025-08-14T21:26:15.6770640Z show-progress: false 2025-08-14T21:26:15.6770739Z repository: pytorch/pytorch 2025-08-14T21:26:15.6773747Z token: *** 2025-08-14T21:26:15.6773862Z ssh-strict: true 2025-08-14T21:26:15.6773949Z ssh-user: git 2025-08-14T21:26:15.6774039Z persist-credentials: true 2025-08-14T21:26:15.6774140Z clean: true 2025-08-14T21:26:15.6774231Z sparse-checkout-cone-mode: true 2025-08-14T21:26:15.6774341Z fetch-tags: false 2025-08-14T21:26:15.6774422Z lfs: false 2025-08-14T21:26:15.6774507Z set-safe-directory: true 2025-08-14T21:26:15.6774611Z env: 2025-08-14T21:26:15.6774691Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:26:15.6774786Z ##[endgroup] 2025-08-14T21:26:15.7313025Z Syncing repository: pytorch/pytorch 2025-08-14T21:26:15.7313569Z ##[group]Getting Git version info 2025-08-14T21:26:15.7313734Z Working directory is '/home/runner/_work/pytorch/pytorch' 2025-08-14T21:26:15.7313950Z [command]/usr/bin/git version 2025-08-14T21:26:15.7315584Z git version 2.50.1 2025-08-14T21:26:15.7326561Z ##[endgroup] 2025-08-14T21:26:15.7331914Z Copying '/home/runner/.gitconfig' to '/home/runner/_work/_temp/88175922-9de5-4ad2-b937-90a7a55a54c2/.gitconfig' 2025-08-14T21:26:15.7338964Z Temporarily overriding HOME='/home/runner/_work/_temp/88175922-9de5-4ad2-b937-90a7a55a54c2' before making global git config changes 2025-08-14T21:26:15.7339276Z Adding repository directory to the temporary git global config as a safe directory 2025-08-14T21:26:15.7341568Z [command]/usr/bin/git config --global --add safe.directory /home/runner/_work/pytorch/pytorch 2025-08-14T21:26:15.7369497Z Deleting the contents of '/home/runner/_work/pytorch/pytorch' 2025-08-14T21:26:15.7372036Z ##[group]Initializing the repository 2025-08-14T21:26:15.7374327Z [command]/usr/bin/git init /home/runner/_work/pytorch/pytorch 2025-08-14T21:26:15.7406168Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-08-14T21:26:15.7406490Z hint: is subject to change. To configure the initial branch name to use in all 2025-08-14T21:26:15.7406705Z hint: of your new repositories, which will suppress this warning, call: 2025-08-14T21:26:15.7406855Z hint: 2025-08-14T21:26:15.7406997Z hint: git config --global init.defaultBranch 2025-08-14T21:26:15.7407164Z hint: 2025-08-14T21:26:15.7407289Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-08-14T21:26:15.7407499Z hint: 'development'. The just-created branch can be renamed via this command: 2025-08-14T21:26:15.7415633Z hint: 2025-08-14T21:26:15.7415737Z hint: git branch -m 2025-08-14T21:26:15.7415852Z hint: 2025-08-14T21:26:15.7415989Z hint: Disable this message with "git config set advice.defaultBranchName false" 2025-08-14T21:26:15.7416213Z Initialized empty Git repository in /home/runner/_work/pytorch/pytorch/.git/ 2025-08-14T21:26:15.7418991Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-08-14T21:26:15.7435128Z ##[endgroup] 2025-08-14T21:26:15.7435493Z ##[group]Disabling automatic garbage collection 2025-08-14T21:26:15.7436917Z [command]/usr/bin/git config --local gc.auto 0 2025-08-14T21:26:15.7450559Z ##[endgroup] 2025-08-14T21:26:15.7450718Z ##[group]Setting up auth 2025-08-14T21:26:15.7453626Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-08-14T21:26:15.7475030Z [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' || :" 2025-08-14T21:26:15.7700399Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-08-14T21:26:15.7724287Z [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' || :" 2025-08-14T21:26:15.7922724Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-08-14T21:26:15.7951050Z ##[endgroup] 2025-08-14T21:26:15.7951262Z ##[group]Fetching the repository 2025-08-14T21:26:15.7955066Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-08-14T21:26:40.8518114Z From https://github.com/pytorch/pytorch 2025-08-14T21:26:40.8523289Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-08-14T21:26:40.8524802Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-08-14T21:26:40.8525386Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-08-14T21:26:40.8525846Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-08-14T21:26:40.8550674Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-08-14T21:26:40.8551147Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-08-14T21:26:40.8551477Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-08-14T21:26:40.8552743Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-08-14T21:26:40.8552999Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-08-14T21:26:40.8553250Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-08-14T21:26:40.8553775Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-08-14T21:26:40.8554085Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-08-14T21:26:40.8554418Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-08-14T21:26:40.8554715Z * [new branch] addVllmPin -> origin/addVllmPin 2025-08-14T21:26:40.8554985Z * [new branch] add_windows_testing_back -> origin/add_windows_testing_back 2025-08-14T21:26:40.8555219Z * [new branch] addbuildvllm -> origin/addbuildvllm 2025-08-14T21:26:40.8555455Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-08-14T21:26:40.8555675Z * [new branch] addsimde -> origin/addsimde 2025-08-14T21:26:40.8555905Z * [new branch] addvllpinnedfile -> origin/addvllpinnedfile 2025-08-14T21:26:40.8556146Z * [new branch] adi/acl_upgrade -> origin/adi/acl_upgrade 2025-08-14T21:26:40.8556498Z * [new branch] adi/skip_slow_tests -> origin/adi/skip_slow_tests 2025-08-14T21:26:40.8556724Z * [new branch] adi/test -> origin/adi/test 2025-08-14T21:26:40.8556938Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-08-14T21:26:40.8557169Z * [new branch] adi/test_fusions -> origin/adi/test_fusions 2025-08-14T21:26:40.8557412Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-08-14T21:26:40.8557664Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-08-14T21:26:40.8557898Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-08-14T21:26:40.8558154Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-08-14T21:26:40.8558593Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-08-14T21:26:40.8558926Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-08-14T21:26:40.8559178Z * [new branch] albanD-patch-1 -> origin/albanD-patch-1 2025-08-14T21:26:40.8559404Z * [new branch] alt-disable -> origin/alt-disable 2025-08-14T21:26:40.8559658Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-08-14T21:26:40.8559945Z * [new branch] angelayi/aoti_inductor_fx -> origin/angelayi/aoti_inductor_fx 2025-08-14T21:26:40.8560256Z * [new branch] angelayi/assert_tensor_metadata_device -> origin/angelayi/assert_tensor_metadata_device 2025-08-14T21:26:40.8560546Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-08-14T21:26:40.8561007Z * [new branch] angelayi/benchmark2 -> origin/angelayi/benchmark2 2025-08-14T21:26:40.8561510Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-08-14T21:26:40.8562017Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-08-14T21:26:40.8562462Z * [new branch] angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph 2025-08-14T21:26:40.8562896Z * [new branch] angelayi/customop -> origin/angelayi/customop 2025-08-14T21:26:40.8563142Z * [new branch] angelayi/del_lib -> origin/angelayi/del_lib 2025-08-14T21:26:40.8563452Z * [new branch] angelayi/docs -> origin/angelayi/docs 2025-08-14T21:26:40.8563679Z * [new branch] angelayi/docs2 -> origin/angelayi/docs2 2025-08-14T21:26:40.8563906Z * [new branch] angelayi/fix_pt2 -> origin/angelayi/fix_pt2 2025-08-14T21:26:40.8564209Z * [new branch] angelayi/logging.bak -> origin/angelayi/logging.bak 2025-08-14T21:26:40.8564455Z * [new branch] angelayi/logging2 -> origin/angelayi/logging2 2025-08-14T21:26:40.8564694Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-08-14T21:26:40.8564940Z * [new branch] angelayi/pytree -> origin/angelayi/pytree 2025-08-14T21:26:40.8565206Z * [new branch] angelayi/save_error -> origin/angelayi/save_error 2025-08-14T21:26:40.8565445Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-08-14T21:26:40.8565654Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-08-14T21:26:40.8565905Z * [new branch] angelayi/tensor_nn_module_meta -> origin/angelayi/tensor_nn_module_meta 2025-08-14T21:26:40.8566133Z * [new branch] angelayi/torch_size -> origin/angelayi/torch_size 2025-08-14T21:26:40.8566351Z * [new branch] aoti-cuda-alloc -> origin/aoti-cuda-alloc 2025-08-14T21:26:40.8566634Z * [new branch] aoti_weight_sharing -> origin/aoti_weight_sharing 2025-08-14T21:26:40.8566865Z * [new branch] arsh/symint_mm_ind_decomp -> origin/arsh/symint_mm_ind_decomp 2025-08-14T21:26:40.8567094Z * [new branch] atalman-inductor-perf-cu124 -> origin/atalman-inductor-perf-cu124 2025-08-14T21:26:40.8567343Z * [new branch] atalman-inductor-perf-cu124.1 -> origin/atalman-inductor-perf-cu124.1 2025-08-14T21:26:40.8567568Z * [new branch] atalman-patch-1 -> origin/atalman-patch-1 2025-08-14T21:26:40.8567769Z * [new branch] atalman-patch-2 -> origin/atalman-patch-2 2025-08-14T21:26:40.8567957Z * [new branch] atalman-patch-3 -> origin/atalman-patch-3 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ciflow/binaries/138996 2025-08-14T21:26:41.1110890Z * [new tag] ciflow/binaries/143959 -> ciflow/binaries/143959 2025-08-14T21:26:41.1111252Z * [new tag] ciflow/binaries/154595 -> ciflow/binaries/154595 2025-08-14T21:26:41.1111616Z * [new tag] ciflow/binaries/156049 -> ciflow/binaries/156049 2025-08-14T21:26:41.1111774Z * [new tag] ciflow/binaries/156712 -> ciflow/binaries/156712 2025-08-14T21:26:41.1112045Z * [new tag] ciflow/binaries/157432 -> ciflow/binaries/157432 2025-08-14T21:26:41.1112321Z * [new tag] ciflow/binaries/157685 -> ciflow/binaries/157685 2025-08-14T21:26:41.1112596Z * [new tag] ciflow/binaries/157689 -> ciflow/binaries/157689 2025-08-14T21:26:41.1112974Z * [new tag] ciflow/binaries/158104 -> ciflow/binaries/158104 2025-08-14T21:26:41.1113296Z * [new tag] ciflow/binaries/158623 -> ciflow/binaries/158623 2025-08-14T21:26:41.1113608Z * [new tag] ciflow/binaries/159827 -> ciflow/binaries/159827 2025-08-14T21:26:41.1113922Z * [new tag] ciflow/binaries/159869 -> ciflow/binaries/159869 2025-08-14T21:26:41.1114237Z * [new tag] ciflow/binaries/160593 -> ciflow/binaries/160593 2025-08-14T21:26:41.1114589Z * [new tag] ciflow/binaries_libtorch/143959 -> ciflow/binaries_libtorch/143959 2025-08-14T21:26:41.1114845Z * [new tag] ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049 2025-08-14T21:26:41.1115200Z * [new tag] ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432 2025-08-14T21:26:41.1115490Z * [new tag] ciflow/binaries_wheel/143959 -> ciflow/binaries_wheel/143959 2025-08-14T21:26:41.1116931Z * [new tag] ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049 2025-08-14T21:26:41.1117209Z * [new tag] ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432 2025-08-14T21:26:41.1117297Z * [new tag] ciflow/binaries_wheel/158733 -> ciflow/binaries_wheel/158733 2025-08-14T21:26:41.1117374Z * [new tag] ciflow/binaries_wheel/160301 -> ciflow/binaries_wheel/160301 2025-08-14T21:26:41.1117461Z * [new tag] ciflow/binaries_wheel/160496 -> ciflow/binaries_wheel/160496 2025-08-14T21:26:41.1117546Z * [new tag] ciflow/h100-distributed/156703 -> ciflow/h100-distributed/156703 2025-08-14T21:26:41.1117841Z * [new tag] ciflow/h100-symm-mem/151845 -> ciflow/h100-symm-mem/151845 2025-08-14T21:26:41.1118031Z * [new tag] ciflow/h100-symm-mem/155923 -> ciflow/h100-symm-mem/155923 2025-08-14T21:26:41.1118452Z * [new tag] ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635 2025-08-14T21:26:41.1118612Z * [new tag] ciflow/h100-symm-mem/159118 -> ciflow/h100-symm-mem/159118 2025-08-14T21:26:41.1119009Z * [new tag] ciflow/h100-symm-mem/159562 -> ciflow/h100-symm-mem/159562 2025-08-14T21:26:41.1119241Z * [new tag] ciflow/h100-symm-mem/159889 -> ciflow/h100-symm-mem/159889 2025-08-14T21:26:41.1119754Z * [new tag] ciflow/h100/159158 -> ciflow/h100/159158 2025-08-14T21:26:41.1119959Z * [new tag] ciflow/h100/160450 -> ciflow/h100/160450 2025-08-14T21:26:41.1120317Z * [new tag] ciflow/h100/160480 -> ciflow/h100/160480 2025-08-14T21:26:41.1120687Z * [new tag] ciflow/h100/160614 -> ciflow/h100/160614 2025-08-14T21:26:41.1121385Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/151845 -> ciflow/inductor-perf-test-nightly-rocm/151845 2025-08-14T21:26:41.1121567Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/160538 -> ciflow/inductor-perf-test-nightly-rocm/160538 2025-08-14T21:26:41.1122004Z * [new tag] ciflow/inductor-perf-test-nightly-x86-zen/156599 -> ciflow/inductor-perf-test-nightly-x86-zen/156599 2025-08-14T21:26:41.1122262Z * [new tag] ciflow/inductor-periodic/160406 -> ciflow/inductor-periodic/160406 2025-08-14T21:26:41.1122503Z * [new tag] ciflow/inductor-periodic/160538 -> ciflow/inductor-periodic/160538 2025-08-14T21:26:41.1122789Z * [new tag] ciflow/inductor-rocm/151845 -> ciflow/inductor-rocm/151845 2025-08-14T21:26:41.1124773Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-08-14T21:26:41.1124957Z * [new tag] ciflow/inductor-rocm/160073 -> ciflow/inductor-rocm/160073 2025-08-14T21:26:41.1125050Z * [new tag] ciflow/inductor-rocm/160538 -> ciflow/inductor-rocm/160538 2025-08-14T21:26:41.1125123Z * [new tag] ciflow/inductor/134881 -> ciflow/inductor/134881 2025-08-14T21:26:41.1125203Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-08-14T21:26:41.1125280Z * [new tag] ciflow/inductor/144516 -> ciflow/inductor/144516 2025-08-14T21:26:41.1125351Z * [new tag] ciflow/inductor/146506 -> ciflow/inductor/146506 2025-08-14T21:26:41.1125420Z * [new tag] ciflow/inductor/147360 -> ciflow/inductor/147360 2025-08-14T21:26:41.1125491Z * [new tag] ciflow/inductor/147990 -> ciflow/inductor/147990 2025-08-14T21:26:41.1125561Z * [new tag] ciflow/inductor/148180 -> ciflow/inductor/148180 2025-08-14T21:26:41.1125629Z * [new tag] ciflow/inductor/148328 -> ciflow/inductor/148328 2025-08-14T21:26:41.1125867Z * [new tag] ciflow/inductor/148484 -> ciflow/inductor/148484 2025-08-14T21:26:41.1126096Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-08-14T21:26:41.1126327Z * [new tag] ciflow/inductor/150302 -> ciflow/inductor/150302 2025-08-14T21:26:41.1126623Z * [new tag] ciflow/inductor/151845 -> ciflow/inductor/151845 2025-08-14T21:26:41.1127046Z * [new tag] ciflow/inductor/152198 -> ciflow/inductor/152198 2025-08-14T21:26:41.1127157Z * [new tag] ciflow/inductor/152624 -> ciflow/inductor/152624 2025-08-14T21:26:41.1127487Z * [new tag] ciflow/inductor/153966 -> ciflow/inductor/153966 2025-08-14T21:26:41.1127742Z * [new tag] ciflow/inductor/154193 -> ciflow/inductor/154193 2025-08-14T21:26:41.1128005Z * [new tag] ciflow/inductor/154650 -> ciflow/inductor/154650 2025-08-14T21:26:41.1128292Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-08-14T21:26:41.1128443Z * [new tag] ciflow/inductor/155072 -> ciflow/inductor/155072 2025-08-14T21:26:41.1128706Z * [new tag] ciflow/inductor/155152 -> ciflow/inductor/155152 2025-08-14T21:26:41.1130603Z * [new tag] ciflow/inductor/155153 -> ciflow/inductor/155153 2025-08-14T21:26:41.1130760Z * [new tag] ciflow/inductor/155154 -> ciflow/inductor/155154 2025-08-14T21:26:41.1130977Z * [new tag] ciflow/inductor/155501 -> ciflow/inductor/155501 2025-08-14T21:26:41.1131127Z * [new tag] ciflow/inductor/155502 -> ciflow/inductor/155502 2025-08-14T21:26:41.1131194Z * [new tag] ciflow/inductor/155503 -> ciflow/inductor/155503 2025-08-14T21:26:41.1131260Z * [new tag] ciflow/inductor/155504 -> ciflow/inductor/155504 2025-08-14T21:26:41.1131323Z * [new tag] ciflow/inductor/155557 -> ciflow/inductor/155557 2025-08-14T21:26:41.1131390Z * [new tag] ciflow/inductor/155608 -> ciflow/inductor/155608 2025-08-14T21:26:41.1131462Z * [new tag] ciflow/inductor/155923 -> ciflow/inductor/155923 2025-08-14T21:26:41.1131535Z * [new tag] ciflow/inductor/155928 -> ciflow/inductor/155928 2025-08-14T21:26:41.1131612Z * [new tag] ciflow/inductor/155958 -> ciflow/inductor/155958 2025-08-14T21:26:41.1131845Z * [new tag] ciflow/inductor/156049 -> ciflow/inductor/156049 2025-08-14T21:26:41.1132211Z * [new tag] ciflow/inductor/156851 -> ciflow/inductor/156851 2025-08-14T21:26:41.1132337Z * [new tag] ciflow/inductor/156967 -> ciflow/inductor/156967 2025-08-14T21:26:41.1132585Z * [new tag] ciflow/inductor/157148 -> ciflow/inductor/157148 2025-08-14T21:26:41.1132831Z * [new tag] ciflow/inductor/157149 -> ciflow/inductor/157149 2025-08-14T21:26:41.1133184Z * [new tag] ciflow/inductor/157152 -> ciflow/inductor/157152 2025-08-14T21:26:41.1133346Z * [new tag] ciflow/inductor/157542 -> ciflow/inductor/157542 2025-08-14T21:26:41.1133602Z * [new tag] ciflow/inductor/157572 -> ciflow/inductor/157572 2025-08-14T21:26:41.1133958Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-08-14T21:26:41.1134110Z * [new tag] ciflow/inductor/157685 -> ciflow/inductor/157685 2025-08-14T21:26:41.1134352Z * [new tag] ciflow/inductor/157686 -> ciflow/inductor/157686 2025-08-14T21:26:41.1134698Z * [new tag] ciflow/inductor/157689 -> ciflow/inductor/157689 2025-08-14T21:26:41.1136350Z * [new tag] ciflow/inductor/157699 -> ciflow/inductor/157699 2025-08-14T21:26:41.1136575Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-08-14T21:26:41.1136663Z * [new tag] ciflow/inductor/157944 -> ciflow/inductor/157944 2025-08-14T21:26:41.1136733Z * [new tag] ciflow/inductor/157971 -> ciflow/inductor/157971 2025-08-14T21:26:41.1136807Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-08-14T21:26:41.1136871Z * [new tag] ciflow/inductor/158061 -> ciflow/inductor/158061 2025-08-14T21:26:41.1136937Z * [new tag] ciflow/inductor/158091 -> ciflow/inductor/158091 2025-08-14T21:26:41.1137201Z * [new tag] ciflow/inductor/158097 -> ciflow/inductor/158097 2025-08-14T21:26:41.1137392Z * [new tag] ciflow/inductor/158098 -> ciflow/inductor/158098 2025-08-14T21:26:41.1137638Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-08-14T21:26:41.1137878Z * [new tag] ciflow/inductor/158168 -> ciflow/inductor/158168 2025-08-14T21:26:41.1138292Z * [new tag] ciflow/inductor/158250 -> ciflow/inductor/158250 2025-08-14T21:26:41.1138439Z * [new tag] ciflow/inductor/158321 -> ciflow/inductor/158321 2025-08-14T21:26:41.1138712Z * [new tag] ciflow/inductor/158609 -> ciflow/inductor/158609 2025-08-14T21:26:41.1139076Z * [new tag] ciflow/inductor/158647 -> ciflow/inductor/158647 2025-08-14T21:26:41.1139241Z * [new tag] ciflow/inductor/158914 -> ciflow/inductor/158914 2025-08-14T21:26:41.1139681Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-08-14T21:26:41.1139813Z * [new tag] ciflow/inductor/158987 -> ciflow/inductor/158987 2025-08-14T21:26:41.1140183Z * [new tag] ciflow/inductor/159009 -> ciflow/inductor/159009 2025-08-14T21:26:41.1140443Z * [new tag] ciflow/inductor/159010 -> ciflow/inductor/159010 2025-08-14T21:26:41.1140604Z * [new tag] ciflow/inductor/159093 -> ciflow/inductor/159093 2025-08-14T21:26:41.1140872Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-08-14T21:26:41.1142310Z * [new tag] ciflow/inductor/159197 -> ciflow/inductor/159197 2025-08-14T21:26:41.1142494Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-08-14T21:26:41.1142574Z * [new tag] ciflow/inductor/159281 -> ciflow/inductor/159281 2025-08-14T21:26:41.1142647Z * [new tag] ciflow/inductor/159329 -> ciflow/inductor/159329 2025-08-14T21:26:41.1142710Z * [new tag] ciflow/inductor/159361 -> ciflow/inductor/159361 2025-08-14T21:26:41.1142778Z * [new tag] ciflow/inductor/159365 -> ciflow/inductor/159365 2025-08-14T21:26:41.1142853Z * [new tag] ciflow/inductor/159366 -> ciflow/inductor/159366 2025-08-14T21:26:41.1143051Z * [new tag] ciflow/inductor/159367 -> ciflow/inductor/159367 2025-08-14T21:26:41.1143317Z * [new tag] ciflow/inductor/159368 -> ciflow/inductor/159368 2025-08-14T21:26:41.1143707Z * [new tag] ciflow/inductor/159473 -> ciflow/inductor/159473 2025-08-14T21:26:41.1143984Z * [new tag] ciflow/inductor/159483 -> ciflow/inductor/159483 2025-08-14T21:26:41.1144136Z * [new tag] ciflow/inductor/159508 -> ciflow/inductor/159508 2025-08-14T21:26:41.1144536Z * [new tag] ciflow/inductor/159523 -> ciflow/inductor/159523 2025-08-14T21:26:41.1144776Z * [new tag] ciflow/inductor/159678 -> ciflow/inductor/159678 2025-08-14T21:26:41.1144933Z * [new tag] ciflow/inductor/159691 -> ciflow/inductor/159691 2025-08-14T21:26:41.1145318Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-08-14T21:26:41.1145527Z * [new tag] ciflow/inductor/159786 -> ciflow/inductor/159786 2025-08-14T21:26:41.1145773Z * [new tag] ciflow/inductor/159817 -> ciflow/inductor/159817 2025-08-14T21:26:41.1146068Z * [new tag] ciflow/inductor/159842 -> ciflow/inductor/159842 2025-08-14T21:26:41.1146327Z * [new tag] ciflow/inductor/159864 -> ciflow/inductor/159864 2025-08-14T21:26:41.1146620Z * [new tag] ciflow/inductor/159865 -> ciflow/inductor/159865 2025-08-14T21:26:41.1146992Z * [new tag] ciflow/inductor/159869 -> ciflow/inductor/159869 2025-08-14T21:26:41.1147226Z * [new tag] ciflow/inductor/159875 -> ciflow/inductor/159875 2025-08-14T21:26:41.1148634Z * [new tag] ciflow/inductor/159889 -> ciflow/inductor/159889 2025-08-14T21:26:41.1148797Z * [new tag] ciflow/inductor/159902 -> ciflow/inductor/159902 2025-08-14T21:26:41.1148870Z * [new tag] ciflow/inductor/159923 -> ciflow/inductor/159923 2025-08-14T21:26:41.1148933Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-08-14T21:26:41.1149007Z * [new tag] ciflow/inductor/160004 -> ciflow/inductor/160004 2025-08-14T21:26:41.1149187Z * [new tag] ciflow/inductor/160080 -> ciflow/inductor/160080 2025-08-14T21:26:41.1149260Z * [new tag] ciflow/inductor/160108 -> ciflow/inductor/160108 2025-08-14T21:26:41.1149590Z * [new tag] ciflow/inductor/160109 -> ciflow/inductor/160109 2025-08-14T21:26:41.1149993Z * [new tag] ciflow/inductor/160111 -> ciflow/inductor/160111 2025-08-14T21:26:41.1150123Z * [new tag] ciflow/inductor/160113 -> ciflow/inductor/160113 2025-08-14T21:26:41.1150420Z * [new tag] ciflow/inductor/160127 -> ciflow/inductor/160127 2025-08-14T21:26:41.1150689Z * [new tag] ciflow/inductor/160131 -> ciflow/inductor/160131 2025-08-14T21:26:41.1150954Z * [new tag] ciflow/inductor/160132 -> ciflow/inductor/160132 2025-08-14T21:26:41.1151222Z * [new tag] ciflow/inductor/160136 -> ciflow/inductor/160136 2025-08-14T21:26:41.1151520Z * [new tag] ciflow/inductor/160138 -> ciflow/inductor/160138 2025-08-14T21:26:41.1151776Z * [new tag] ciflow/inductor/160151 -> ciflow/inductor/160151 2025-08-14T21:26:41.1152045Z * [new tag] ciflow/inductor/160152 -> ciflow/inductor/160152 2025-08-14T21:26:41.1152321Z * [new tag] ciflow/inductor/160154 -> ciflow/inductor/160154 2025-08-14T21:26:41.1152589Z * [new tag] ciflow/inductor/160156 -> ciflow/inductor/160156 2025-08-14T21:26:41.1152914Z * [new tag] ciflow/inductor/160161 -> ciflow/inductor/160161 2025-08-14T21:26:41.1153240Z * [new tag] ciflow/inductor/160166 -> ciflow/inductor/160166 2025-08-14T21:26:41.1153516Z * [new tag] ciflow/inductor/160168 -> ciflow/inductor/160168 2025-08-14T21:26:41.1153800Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-08-14T21:26:41.1156025Z * [new tag] ciflow/inductor/160181 -> ciflow/inductor/160181 2025-08-14T21:26:41.1156105Z * [new tag] ciflow/inductor/160183 -> ciflow/inductor/160183 2025-08-14T21:26:41.1156174Z * [new tag] ciflow/inductor/160190 -> ciflow/inductor/160190 2025-08-14T21:26:41.1156244Z * [new tag] ciflow/inductor/160198 -> ciflow/inductor/160198 2025-08-14T21:26:41.1156312Z * [new tag] ciflow/inductor/160201 -> ciflow/inductor/160201 2025-08-14T21:26:41.1156378Z * [new tag] ciflow/inductor/160209 -> ciflow/inductor/160209 2025-08-14T21:26:41.1156550Z * [new tag] ciflow/inductor/160218 -> ciflow/inductor/160218 2025-08-14T21:26:41.1156626Z * [new tag] ciflow/inductor/160239 -> ciflow/inductor/160239 2025-08-14T21:26:41.1156795Z * [new tag] ciflow/inductor/160250 -> ciflow/inductor/160250 2025-08-14T21:26:41.1157063Z * [new tag] ciflow/inductor/160253 -> ciflow/inductor/160253 2025-08-14T21:26:41.1157351Z * [new tag] ciflow/inductor/160266 -> ciflow/inductor/160266 2025-08-14T21:26:41.1157629Z * [new tag] ciflow/inductor/160282 -> ciflow/inductor/160282 2025-08-14T21:26:41.1157888Z * [new tag] ciflow/inductor/160298 -> ciflow/inductor/160298 2025-08-14T21:26:41.1158163Z * [new tag] ciflow/inductor/160301 -> ciflow/inductor/160301 2025-08-14T21:26:41.1158522Z * [new tag] ciflow/inductor/160310 -> ciflow/inductor/160310 2025-08-14T21:26:41.1158810Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-08-14T21:26:41.1159354Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-08-14T21:26:41.1159572Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-08-14T21:26:41.1159917Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-08-14T21:26:41.1160266Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-08-14T21:26:41.1160571Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-08-14T21:26:41.1161034Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-08-14T21:26:41.1162732Z * [new tag] ciflow/inductor/160351 -> ciflow/inductor/160351 2025-08-14T21:26:41.1162896Z * [new tag] ciflow/inductor/160353 -> ciflow/inductor/160353 2025-08-14T21:26:41.1162972Z * [new tag] ciflow/inductor/160362 -> ciflow/inductor/160362 2025-08-14T21:26:41.1163035Z * [new tag] ciflow/inductor/160363 -> ciflow/inductor/160363 2025-08-14T21:26:41.1163104Z * [new tag] ciflow/inductor/160364 -> ciflow/inductor/160364 2025-08-14T21:26:41.1163168Z * [new tag] ciflow/inductor/160365 -> ciflow/inductor/160365 2025-08-14T21:26:41.1163233Z * [new tag] ciflow/inductor/160366 -> ciflow/inductor/160366 2025-08-14T21:26:41.1163317Z * [new tag] ciflow/inductor/160367 -> ciflow/inductor/160367 2025-08-14T21:26:41.1163597Z * [new tag] ciflow/inductor/160368 -> ciflow/inductor/160368 2025-08-14T21:26:41.1163865Z * [new tag] ciflow/inductor/160369 -> ciflow/inductor/160369 2025-08-14T21:26:41.1164145Z * [new tag] ciflow/inductor/160371 -> ciflow/inductor/160371 2025-08-14T21:26:41.1164443Z * [new tag] ciflow/inductor/160374 -> ciflow/inductor/160374 2025-08-14T21:26:41.1164721Z * [new tag] ciflow/inductor/160375 -> ciflow/inductor/160375 2025-08-14T21:26:41.1165006Z * [new tag] ciflow/inductor/160377 -> ciflow/inductor/160377 2025-08-14T21:26:41.1165288Z * [new tag] ciflow/inductor/160380 -> ciflow/inductor/160380 2025-08-14T21:26:41.1165690Z * [new tag] ciflow/inductor/160381 -> ciflow/inductor/160381 2025-08-14T21:26:41.1166068Z * [new tag] ciflow/inductor/160383 -> ciflow/inductor/160383 2025-08-14T21:26:41.1166495Z * [new tag] ciflow/inductor/160394 -> ciflow/inductor/160394 2025-08-14T21:26:41.1166806Z * [new tag] ciflow/inductor/160401 -> ciflow/inductor/160401 2025-08-14T21:26:41.1167079Z * [new tag] ciflow/inductor/160402 -> ciflow/inductor/160402 2025-08-14T21:26:41.1167349Z * [new tag] ciflow/inductor/160403 -> ciflow/inductor/160403 2025-08-14T21:26:41.1167642Z * [new tag] ciflow/inductor/160424 -> ciflow/inductor/160424 2025-08-14T21:26:41.1169120Z * [new tag] ciflow/inductor/160426 -> ciflow/inductor/160426 2025-08-14T21:26:41.1169294Z * [new tag] ciflow/inductor/160431 -> ciflow/inductor/160431 2025-08-14T21:26:41.1169376Z * [new tag] ciflow/inductor/160448 -> ciflow/inductor/160448 2025-08-14T21:26:41.1169443Z * [new tag] ciflow/inductor/160450 -> ciflow/inductor/160450 2025-08-14T21:26:41.1169518Z * [new tag] ciflow/inductor/160455 -> ciflow/inductor/160455 2025-08-14T21:26:41.1169649Z * [new tag] ciflow/inductor/160456 -> ciflow/inductor/160456 2025-08-14T21:26:41.1169936Z * [new tag] ciflow/inductor/160461 -> ciflow/inductor/160461 2025-08-14T21:26:41.1170211Z * [new tag] ciflow/inductor/160462 -> ciflow/inductor/160462 2025-08-14T21:26:41.1170505Z * [new tag] ciflow/inductor/160467 -> ciflow/inductor/160467 2025-08-14T21:26:41.1170791Z * [new tag] ciflow/inductor/160470 -> ciflow/inductor/160470 2025-08-14T21:26:41.1171104Z * [new tag] ciflow/inductor/160473 -> ciflow/inductor/160473 2025-08-14T21:26:41.1171412Z * [new tag] ciflow/inductor/160476 -> ciflow/inductor/160476 2025-08-14T21:26:41.1171722Z * [new tag] ciflow/inductor/160480 -> ciflow/inductor/160480 2025-08-14T21:26:41.1172043Z * [new tag] ciflow/inductor/160481 -> ciflow/inductor/160481 2025-08-14T21:26:41.1172412Z * [new tag] ciflow/inductor/160482 -> ciflow/inductor/160482 2025-08-14T21:26:41.1172637Z * [new tag] ciflow/inductor/160483 -> ciflow/inductor/160483 2025-08-14T21:26:41.1172952Z * [new tag] ciflow/inductor/160485 -> ciflow/inductor/160485 2025-08-14T21:26:41.1173337Z * [new tag] ciflow/inductor/160486 -> ciflow/inductor/160486 2025-08-14T21:26:41.1173595Z * [new tag] ciflow/inductor/160503 -> ciflow/inductor/160503 2025-08-14T21:26:41.1173891Z * [new tag] ciflow/inductor/160510 -> ciflow/inductor/160510 2025-08-14T21:26:41.1174185Z * [new tag] ciflow/inductor/160527 -> ciflow/inductor/160527 2025-08-14T21:26:41.1174473Z * [new tag] ciflow/inductor/160530 -> ciflow/inductor/160530 2025-08-14T21:26:41.1174777Z * [new tag] ciflow/inductor/160531 -> ciflow/inductor/160531 2025-08-14T21:26:41.1176233Z * [new tag] ciflow/inductor/160538 -> ciflow/inductor/160538 2025-08-14T21:26:41.1176360Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-08-14T21:26:41.1176517Z * [new tag] ciflow/inductor/160540 -> ciflow/inductor/160540 2025-08-14T21:26:41.1176583Z * [new tag] ciflow/inductor/160548 -> ciflow/inductor/160548 2025-08-14T21:26:41.1176780Z * [new tag] ciflow/inductor/160561 -> ciflow/inductor/160561 2025-08-14T21:26:41.1177135Z * [new tag] ciflow/inductor/160576 -> ciflow/inductor/160576 2025-08-14T21:26:41.1177418Z * [new tag] ciflow/inductor/160578 -> ciflow/inductor/160578 2025-08-14T21:26:41.1177703Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-08-14T21:26:41.1178020Z * [new tag] ciflow/inductor/160583 -> ciflow/inductor/160583 2025-08-14T21:26:41.1178363Z * [new tag] ciflow/inductor/160589 -> ciflow/inductor/160589 2025-08-14T21:26:41.1178698Z * [new tag] ciflow/inductor/160590 -> ciflow/inductor/160590 2025-08-14T21:26:41.1179081Z * [new tag] ciflow/inductor/160592 -> ciflow/inductor/160592 2025-08-14T21:26:41.1179377Z * [new tag] ciflow/inductor/160596 -> ciflow/inductor/160596 2025-08-14T21:26:41.1179671Z * [new tag] ciflow/inductor/160601 -> ciflow/inductor/160601 2025-08-14T21:26:41.1180044Z * [new tag] ciflow/inductor/160607 -> ciflow/inductor/160607 2025-08-14T21:26:41.1180392Z * [new tag] ciflow/inductor/160608 -> ciflow/inductor/160608 2025-08-14T21:26:41.1180678Z * [new tag] ciflow/inductor/160611 -> ciflow/inductor/160611 2025-08-14T21:26:41.1180995Z * [new tag] ciflow/inductor/160614 -> ciflow/inductor/160614 2025-08-14T21:26:41.1181316Z * [new tag] ciflow/inductor/160616 -> ciflow/inductor/160616 2025-08-14T21:26:41.1181619Z * [new tag] ciflow/inductor/160619 -> ciflow/inductor/160619 2025-08-14T21:26:41.1181920Z * [new tag] ciflow/inductor/160625 -> ciflow/inductor/160625 2025-08-14T21:26:41.1182233Z * [new tag] ciflow/inductor/160635 -> ciflow/inductor/160635 2025-08-14T21:26:41.1183739Z * [new tag] ciflow/inductor/160649 -> ciflow/inductor/160649 2025-08-14T21:26:41.1183917Z * [new tag] ciflow/inductor/160658 -> ciflow/inductor/160658 2025-08-14T21:26:41.1184006Z * [new tag] ciflow/inductor/160662 -> ciflow/inductor/160662 2025-08-14T21:26:41.1184178Z * [new tag] ciflow/inductor/160668 -> ciflow/inductor/160668 2025-08-14T21:26:41.1184246Z * [new tag] ciflow/inductor/160669 -> ciflow/inductor/160669 2025-08-14T21:26:41.1184360Z * [new tag] ciflow/inductor/160670 -> ciflow/inductor/160670 2025-08-14T21:26:41.1184550Z * [new tag] ciflow/inductor/160671 -> ciflow/inductor/160671 2025-08-14T21:26:41.1184924Z * [new tag] ciflow/inductor/160677 -> ciflow/inductor/160677 2025-08-14T21:26:41.1185217Z * [new tag] ciflow/inductor/160679 -> ciflow/inductor/160679 2025-08-14T21:26:41.1185621Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-08-14T21:26:41.1186005Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-08-14T21:26:41.1186362Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-08-14T21:26:41.1186822Z * [new tag] ciflow/linux-aarch64/147855 -> ciflow/linux-aarch64/147855 2025-08-14T21:26:41.1187038Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-08-14T21:26:41.1187280Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-08-14T21:26:41.1187515Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-08-14T21:26:41.1187766Z * [new tag] ciflow/linux-aarch64/160299 -> ciflow/linux-aarch64/160299 2025-08-14T21:26:41.1187979Z * [new tag] ciflow/linux-aarch64/160301 -> ciflow/linux-aarch64/160301 2025-08-14T21:26:41.1188313Z * [new tag] ciflow/mps/155923 -> ciflow/mps/155923 2025-08-14T21:26:41.1188547Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-08-14T21:26:41.1188778Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-08-14T21:26:41.1189027Z * [new tag] ciflow/mps/160541 -> ciflow/mps/160541 2025-08-14T21:26:41.1189314Z * [new tag] ciflow/nightly/156049 -> ciflow/nightly/156049 2025-08-14T21:26:41.1190655Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-08-14T21:26:41.1190837Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-08-14T21:26:41.1190952Z * [new tag] ciflow/periodic-rocm-mi300/139971 -> ciflow/periodic-rocm-mi300/139971 2025-08-14T21:26:41.1191043Z * [new tag] ciflow/periodic-rocm-mi300/160073 -> ciflow/periodic-rocm-mi300/160073 2025-08-14T21:26:41.1191132Z * [new tag] ciflow/periodic-rocm-mi300/160538 -> ciflow/periodic-rocm-mi300/160538 2025-08-14T21:26:41.1191216Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-08-14T21:26:41.1191384Z * [new tag] ciflow/periodic/131296 -> ciflow/periodic/131296 2025-08-14T21:26:41.1191612Z * [new tag] ciflow/periodic/139971 -> ciflow/periodic/139971 2025-08-14T21:26:41.1191865Z * [new tag] ciflow/periodic/143959 -> ciflow/periodic/143959 2025-08-14T21:26:41.1192099Z * [new tag] ciflow/periodic/154595 -> ciflow/periodic/154595 2025-08-14T21:26:41.1192349Z * [new tag] ciflow/periodic/156703 -> ciflow/periodic/156703 2025-08-14T21:26:41.1192585Z * [new tag] ciflow/periodic/160201 -> ciflow/periodic/160201 2025-08-14T21:26:41.1192815Z * [new tag] ciflow/periodic/160424 -> ciflow/periodic/160424 2025-08-14T21:26:41.1193066Z * [new tag] ciflow/periodic/160538 -> ciflow/periodic/160538 2025-08-14T21:26:41.1193700Z * [new tag] ciflow/periodic/1febab2a89302464f6c7d69cfbef7a24c421ea65 -> ciflow/periodic/1febab2a89302464f6c7d69cfbef7a24c421ea65 2025-08-14T21:26:41.1193862Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-08-14T21:26:41.1194242Z * [new tag] ciflow/periodic/2ee22e435131369a7e4f8cc4732579acc29a941b -> ciflow/periodic/2ee22e435131369a7e4f8cc4732579acc29a941b 2025-08-14T21:26:41.1194541Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-08-14T21:26:41.1194754Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-08-14T21:26:41.1195121Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-08-14T21:26:41.1195510Z * [new tag] ciflow/periodic/4a773e1e867f28a8ff0b15203e5cd9548f74fcee -> ciflow/periodic/4a773e1e867f28a8ff0b15203e5cd9548f74fcee 2025-08-14T21:26:41.1195882Z * [new tag] ciflow/periodic/5f5f508aa836a46dfe88857fb223049616b94e93 -> ciflow/periodic/5f5f508aa836a46dfe88857fb223049616b94e93 2025-08-14T21:26:41.1197345Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-08-14T21:26:41.1197547Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-08-14T21:26:41.1197636Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-08-14T21:26:41.1197720Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-08-14T21:26:41.1197901Z * [new tag] ciflow/periodic/d7114f05b10de8e6de81ffc567d63944c3117d51 -> ciflow/periodic/d7114f05b10de8e6de81ffc567d63944c3117d51 2025-08-14T21:26:41.1198001Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-08-14T21:26:41.1198399Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-08-14T21:26:41.1198765Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-08-14T21:26:41.1199118Z * [new tag] ciflow/rocm-mi300/151360 -> ciflow/rocm-mi300/151360 2025-08-14T21:26:41.1199343Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-08-14T21:26:41.1199584Z * [new tag] ciflow/rocm-mi300/160073 -> ciflow/rocm-mi300/160073 2025-08-14T21:26:41.1199862Z * [new tag] ciflow/rocm-mi300/160468 -> ciflow/rocm-mi300/160468 2025-08-14T21:26:41.1200094Z * [new tag] ciflow/rocm-mi300/160538 -> ciflow/rocm-mi300/160538 2025-08-14T21:26:41.1200451Z * [new tag] ciflow/rocm-mi355/160215 -> ciflow/rocm-mi355/160215 2025-08-14T21:26:41.1200787Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-08-14T21:26:41.1201039Z * [new tag] ciflow/rocm/151360 -> ciflow/rocm/151360 2025-08-14T21:26:41.1201276Z * [new tag] ciflow/rocm/151845 -> ciflow/rocm/151845 2025-08-14T21:26:41.1201544Z * [new tag] ciflow/rocm/154864 -> ciflow/rocm/154864 2025-08-14T21:26:41.1201855Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-08-14T21:26:41.1202070Z * [new tag] ciflow/rocm/158219 -> ciflow/rocm/158219 2025-08-14T21:26:41.1202302Z * [new tag] ciflow/rocm/158220 -> ciflow/rocm/158220 2025-08-14T21:26:41.1202543Z * [new tag] ciflow/rocm/158224 -> ciflow/rocm/158224 2025-08-14T21:26:41.1202776Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-08-14T21:26:41.1204160Z * [new tag] ciflow/rocm/160215 -> ciflow/rocm/160215 2025-08-14T21:26:41.1204308Z * [new tag] ciflow/rocm/160468 -> ciflow/rocm/160468 2025-08-14T21:26:41.1204372Z * [new tag] ciflow/rocm/160538 -> ciflow/rocm/160538 2025-08-14T21:26:41.1204437Z * [new tag] ciflow/s390/143959 -> ciflow/s390/143959 2025-08-14T21:26:41.1204583Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-08-14T21:26:41.1204644Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-08-14T21:26:41.1204986Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-08-14T21:26:41.1205252Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-08-14T21:26:41.1205407Z * [new tag] ciflow/slow/154595 -> ciflow/slow/154595 2025-08-14T21:26:41.1205738Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-08-14T21:26:41.1206058Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-08-14T21:26:41.1206368Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-08-14T21:26:41.1206740Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-08-14T21:26:41.1207016Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-08-14T21:26:41.1207369Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-08-14T21:26:41.1207645Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-08-14T21:26:41.1207933Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-08-14T21:26:41.1208439Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-08-14T21:26:41.1208598Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-08-14T21:26:41.1208896Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-08-14T21:26:41.1209200Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-08-14T21:26:41.1209509Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-08-14T21:26:41.1209806Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-08-14T21:26:41.1211410Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-08-14T21:26:41.1211484Z * [new tag] ciflow/trunk/131296 -> ciflow/trunk/131296 2025-08-14T21:26:41.1211547Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-08-14T21:26:41.1211605Z * [new tag] ciflow/trunk/138996 -> ciflow/trunk/138996 2025-08-14T21:26:41.1211663Z * [new tag] ciflow/trunk/139971 -> ciflow/trunk/139971 2025-08-14T21:26:41.1211725Z * [new tag] ciflow/trunk/147360 -> ciflow/trunk/147360 2025-08-14T21:26:41.1211795Z * [new tag] ciflow/trunk/147855 -> ciflow/trunk/147855 2025-08-14T21:26:41.1211925Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-08-14T21:26:41.1212176Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-08-14T21:26:41.1212416Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-08-14T21:26:41.1212703Z * [new tag] ciflow/trunk/150282 -> ciflow/trunk/150282 2025-08-14T21:26:41.1212940Z * [new tag] ciflow/trunk/150302 -> ciflow/trunk/150302 2025-08-14T21:26:41.1213199Z * [new tag] ciflow/trunk/151845 -> ciflow/trunk/151845 2025-08-14T21:26:41.1213436Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-08-14T21:26:41.1213673Z * [new tag] ciflow/trunk/154193 -> ciflow/trunk/154193 2025-08-14T21:26:41.1213930Z * [new tag] ciflow/trunk/154595 -> ciflow/trunk/154595 2025-08-14T21:26:41.1214168Z * [new tag] ciflow/trunk/154650 -> ciflow/trunk/154650 2025-08-14T21:26:41.1214405Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-08-14T21:26:41.1214661Z * [new tag] ciflow/trunk/155958 -> ciflow/trunk/155958 2025-08-14T21:26:41.1214892Z * [new tag] ciflow/trunk/156049 -> ciflow/trunk/156049 2025-08-14T21:26:41.1215213Z * [new tag] ciflow/trunk/156703 -> ciflow/trunk/156703 2025-08-14T21:26:41.1215403Z * [new tag] ciflow/trunk/156851 -> ciflow/trunk/156851 2025-08-14T21:26:41.1216856Z * [new tag] ciflow/trunk/157148 -> ciflow/trunk/157148 2025-08-14T21:26:41.1217036Z * [new tag] ciflow/trunk/157152 -> ciflow/trunk/157152 2025-08-14T21:26:41.1217113Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-08-14T21:26:41.1217170Z * [new tag] ciflow/trunk/157685 -> ciflow/trunk/157685 2025-08-14T21:26:41.1217237Z * [new tag] ciflow/trunk/157689 -> ciflow/trunk/157689 2025-08-14T21:26:41.1217301Z * [new tag] ciflow/trunk/157699 -> ciflow/trunk/157699 2025-08-14T21:26:41.1217466Z * [new tag] ciflow/trunk/157813 -> ciflow/trunk/157813 2025-08-14T21:26:41.1217731Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-08-14T21:26:41.1217956Z * [new tag] ciflow/trunk/158091 -> ciflow/trunk/158091 2025-08-14T21:26:41.1218204Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-08-14T21:26:41.1218446Z * [new tag] ciflow/trunk/158219 -> ciflow/trunk/158219 2025-08-14T21:26:41.1218686Z * [new tag] ciflow/trunk/158220 -> ciflow/trunk/158220 2025-08-14T21:26:41.1218912Z * [new tag] ciflow/trunk/158224 -> ciflow/trunk/158224 2025-08-14T21:26:41.1219204Z * [new tag] ciflow/trunk/158529 -> ciflow/trunk/158529 2025-08-14T21:26:41.1219448Z * [new tag] ciflow/trunk/158647 -> ciflow/trunk/158647 2025-08-14T21:26:41.1219688Z * [new tag] ciflow/trunk/158810 -> ciflow/trunk/158810 2025-08-14T21:26:41.1219954Z * [new tag] ciflow/trunk/158812 -> ciflow/trunk/158812 2025-08-14T21:26:41.1220228Z * [new tag] ciflow/trunk/158863 -> ciflow/trunk/158863 2025-08-14T21:26:41.1220451Z * [new tag] ciflow/trunk/158864 -> ciflow/trunk/158864 2025-08-14T21:26:41.1220702Z * [new tag] ciflow/trunk/158883 -> ciflow/trunk/158883 2025-08-14T21:26:41.1220951Z * [new tag] ciflow/trunk/158914 -> ciflow/trunk/158914 2025-08-14T21:26:41.1221199Z * [new tag] ciflow/trunk/158965 -> ciflow/trunk/158965 2025-08-14T21:26:41.1222539Z * [new tag] ciflow/trunk/158987 -> ciflow/trunk/158987 2025-08-14T21:26:41.1222708Z * [new tag] ciflow/trunk/159033 -> ciflow/trunk/159033 2025-08-14T21:26:41.1222775Z * [new tag] ciflow/trunk/159140 -> ciflow/trunk/159140 2025-08-14T21:26:41.1222844Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-08-14T21:26:41.1222906Z * [new tag] ciflow/trunk/159553 -> ciflow/trunk/159553 2025-08-14T21:26:41.1222966Z * [new tag] ciflow/trunk/159562 -> ciflow/trunk/159562 2025-08-14T21:26:41.1223115Z * [new tag] ciflow/trunk/159682 -> ciflow/trunk/159682 2025-08-14T21:26:41.1223365Z * [new tag] ciflow/trunk/159691 -> ciflow/trunk/159691 2025-08-14T21:26:41.1223616Z * [new tag] ciflow/trunk/159842 -> ciflow/trunk/159842 2025-08-14T21:26:41.1223874Z * [new tag] ciflow/trunk/159889 -> ciflow/trunk/159889 2025-08-14T21:26:41.1224158Z * [new tag] ciflow/trunk/159923 -> ciflow/trunk/159923 2025-08-14T21:26:41.1224421Z * [new tag] ciflow/trunk/160004 -> ciflow/trunk/160004 2025-08-14T21:26:41.1224696Z * [new tag] ciflow/trunk/160113 -> ciflow/trunk/160113 2025-08-14T21:26:41.1225005Z * [new tag] ciflow/trunk/160161 -> ciflow/trunk/160161 2025-08-14T21:26:41.1225199Z * [new tag] ciflow/trunk/160168 -> ciflow/trunk/160168 2025-08-14T21:26:41.1225487Z * [new tag] ciflow/trunk/160181 -> ciflow/trunk/160181 2025-08-14T21:26:41.1225749Z * [new tag] ciflow/trunk/160183 -> ciflow/trunk/160183 2025-08-14T21:26:41.1226003Z * [new tag] ciflow/trunk/160190 -> ciflow/trunk/160190 2025-08-14T21:26:41.1226277Z * [new tag] ciflow/trunk/160198 -> ciflow/trunk/160198 2025-08-14T21:26:41.1226612Z * [new tag] ciflow/trunk/160205 -> ciflow/trunk/160205 2025-08-14T21:26:41.1226910Z * [new tag] ciflow/trunk/160219 -> ciflow/trunk/160219 2025-08-14T21:26:41.1227163Z * [new tag] ciflow/trunk/160224 -> ciflow/trunk/160224 2025-08-14T21:26:41.1227427Z * [new tag] ciflow/trunk/160250 -> ciflow/trunk/160250 2025-08-14T21:26:41.1228768Z * [new tag] ciflow/trunk/160253 -> ciflow/trunk/160253 2025-08-14T21:26:41.1228935Z * [new tag] ciflow/trunk/160335 -> ciflow/trunk/160335 2025-08-14T21:26:41.1229002Z * [new tag] ciflow/trunk/160338 -> ciflow/trunk/160338 2025-08-14T21:26:41.1229062Z * [new tag] ciflow/trunk/160383 -> ciflow/trunk/160383 2025-08-14T21:26:41.1229128Z * [new tag] ciflow/trunk/160401 -> ciflow/trunk/160401 2025-08-14T21:26:41.1229189Z * [new tag] ciflow/trunk/160403 -> ciflow/trunk/160403 2025-08-14T21:26:41.1229365Z * [new tag] ciflow/trunk/160430 -> ciflow/trunk/160430 2025-08-14T21:26:41.1229619Z * [new tag] ciflow/trunk/160431 -> ciflow/trunk/160431 2025-08-14T21:26:41.1229965Z * [new tag] ciflow/trunk/160439 -> ciflow/trunk/160439 2025-08-14T21:26:41.1230211Z * [new tag] ciflow/trunk/160449 -> ciflow/trunk/160449 2025-08-14T21:26:41.1230581Z * [new tag] ciflow/trunk/160454 -> ciflow/trunk/160454 2025-08-14T21:26:41.1230836Z * [new tag] ciflow/trunk/160468 -> ciflow/trunk/160468 2025-08-14T21:26:41.1231088Z * [new tag] ciflow/trunk/160481 -> ciflow/trunk/160481 2025-08-14T21:26:41.1231347Z * [new tag] ciflow/trunk/160485 -> ciflow/trunk/160485 2025-08-14T21:26:41.1231657Z * [new tag] ciflow/trunk/160519 -> ciflow/trunk/160519 2025-08-14T21:26:41.1231914Z * [new tag] ciflow/trunk/160527 -> ciflow/trunk/160527 2025-08-14T21:26:41.1232268Z * [new tag] ciflow/trunk/160560 -> ciflow/trunk/160560 2025-08-14T21:26:41.1232510Z * [new tag] ciflow/trunk/160578 -> ciflow/trunk/160578 2025-08-14T21:26:41.1232790Z * [new tag] ciflow/trunk/160589 -> ciflow/trunk/160589 2025-08-14T21:26:41.1233035Z * [new tag] ciflow/trunk/160592 -> ciflow/trunk/160592 2025-08-14T21:26:41.1233301Z * [new tag] ciflow/trunk/160649 -> ciflow/trunk/160649 2025-08-14T21:26:41.1233561Z * [new tag] ciflow/trunk/160656 -> ciflow/trunk/160656 2025-08-14T21:26:41.1235367Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-08-14T21:26:41.1235477Z * [new tag] ciflow/vllm/160116 -> ciflow/vllm/160116 2025-08-14T21:26:41.1235558Z * [new tag] ciflow/vllm/160583 -> ciflow/vllm/160583 2025-08-14T21:26:41.1235708Z * [new tag] ciflow/vllm/160619 -> ciflow/vllm/160619 2025-08-14T21:26:41.1235765Z * [new tag] ciflow/vllm/160625 -> ciflow/vllm/160625 2025-08-14T21:26:41.1235825Z * [new tag] ciflow/vllm/160627 -> ciflow/vllm/160627 2025-08-14T21:26:41.1235945Z * [new tag] ciflow/win-arm64/156049 -> ciflow/win-arm64/156049 2025-08-14T21:26:41.1236023Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-08-14T21:26:41.1236114Z * [new tag] ciflow/win-arm64/159553 -> ciflow/win-arm64/159553 2025-08-14T21:26:41.1236373Z * [new tag] ciflow/win-arm64/159562 -> ciflow/win-arm64/159562 2025-08-14T21:26:41.1236823Z * [new tag] ciflow/win-arm64/159777 -> ciflow/win-arm64/159777 2025-08-14T21:26:41.1237042Z * [new tag] ciflow/win-arm64/159780 -> ciflow/win-arm64/159780 2025-08-14T21:26:41.1237270Z * [new tag] ciflow/win-arm64/159842 -> ciflow/win-arm64/159842 2025-08-14T21:26:41.1237511Z * [new tag] ciflow/win-arm64/160250 -> ciflow/win-arm64/160250 2025-08-14T21:26:41.1237745Z * [new tag] ciflow/win-arm64/160253 -> ciflow/win-arm64/160253 2025-08-14T21:26:41.1237989Z * [new tag] ciflow/win-arm64/160454 -> ciflow/win-arm64/160454 2025-08-14T21:26:41.1238241Z * [new tag] ciflow/win-arm64/160560 -> ciflow/win-arm64/160560 2025-08-14T21:26:41.1238556Z * [new tag] ciflow/xpu/138996 -> ciflow/xpu/138996 2025-08-14T21:26:41.1238809Z * [new tag] ciflow/xpu/139971 -> ciflow/xpu/139971 2025-08-14T21:26:41.1239136Z * [new tag] ciflow/xpu/140972 -> ciflow/xpu/140972 2025-08-14T21:26:41.1239395Z * [new tag] ciflow/xpu/143553 -> ciflow/xpu/143553 2025-08-14T21:26:41.1239660Z * [new tag] ciflow/xpu/156272 -> ciflow/xpu/156272 2025-08-14T21:26:41.1239894Z * [new tag] ciflow/xpu/156812 -> ciflow/xpu/156812 2025-08-14T21:26:41.1241342Z * [new tag] ciflow/xpu/157699 -> ciflow/xpu/157699 2025-08-14T21:26:41.1241501Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-08-14T21:26:41.1241569Z * [new tag] ciflow/xpu/158336 -> ciflow/xpu/158336 2025-08-14T21:26:41.1241632Z * [new tag] ciflow/xpu/158733 -> ciflow/xpu/158733 2025-08-14T21:26:41.1241690Z * [new tag] ciflow/xpu/159033 -> ciflow/xpu/159033 2025-08-14T21:26:41.1241746Z * [new tag] ciflow/xpu/159118 -> ciflow/xpu/159118 2025-08-14T21:26:41.1241806Z * [new tag] ciflow/xpu/159140 -> ciflow/xpu/159140 2025-08-14T21:26:41.1241942Z * [new tag] ciflow/xpu/159241 -> ciflow/xpu/159241 2025-08-14T21:26:41.1242184Z * [new tag] ciflow/xpu/159473 -> ciflow/xpu/159473 2025-08-14T21:26:41.1242469Z * [new tag] ciflow/xpu/159474 -> ciflow/xpu/159474 2025-08-14T21:26:41.1242714Z * [new tag] ciflow/xpu/159553 -> ciflow/xpu/159553 2025-08-14T21:26:41.1242952Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-08-14T21:26:41.1243304Z * [new tag] ciflow/xpu/160062 -> ciflow/xpu/160062 2025-08-14T21:26:41.1243536Z * [new tag] ciflow/xpu/160067 -> ciflow/xpu/160067 2025-08-14T21:26:41.1243821Z * [new tag] ciflow/xpu/160158 -> ciflow/xpu/160158 2025-08-14T21:26:41.1244060Z * [new tag] ciflow/xpu/160173 -> ciflow/xpu/160173 2025-08-14T21:26:41.1244316Z * [new tag] ciflow/xpu/160183 -> ciflow/xpu/160183 2025-08-14T21:26:41.1244566Z * [new tag] ciflow/xpu/160301 -> ciflow/xpu/160301 2025-08-14T21:26:41.1244834Z * [new tag] ciflow/xpu/160403 -> ciflow/xpu/160403 2025-08-14T21:26:41.1245147Z * [new tag] ciflow/xpu/160606 -> ciflow/xpu/160606 2025-08-14T21:26:41.1245448Z * [new tag] cslpull75 -> cslpull75 2025-08-14T21:26:41.1245800Z * [new tag] cslpull76 -> cslpull76 2025-08-14T21:26:41.1246016Z * [new tag] cslpull77 -> cslpull77 2025-08-14T21:26:41.1247599Z * [new tag] cslpull78 -> cslpull78 2025-08-14T21:26:41.1247744Z * [new tag] cslpull79 -> cslpull79 2025-08-14T21:26:41.1247814Z * [new tag] cslpull80 -> cslpull80 2025-08-14T21:26:41.1247874Z * [new tag] cslpull81 -> cslpull81 2025-08-14T21:26:41.1247926Z * [new tag] cslpull82 -> cslpull82 2025-08-14T21:26:41.1247979Z * [new tag] cslpull83 -> cslpull83 2025-08-14T21:26:41.1248123Z * [new tag] cslpull84 -> cslpull84 2025-08-14T21:26:41.1248393Z * [new tag] cslpull85 -> cslpull85 2025-08-14T21:26:41.1248722Z * [new tag] cslpull86 -> cslpull86 2025-08-14T21:26:41.1248997Z * [new tag] cslpull87 -> cslpull87 2025-08-14T21:26:41.1249325Z * [new tag] cslpull88 -> cslpull88 2025-08-14T21:26:41.1249602Z * [new tag] cslpull89 -> cslpull89 2025-08-14T21:26:41.1249811Z * [new tag] cslpull90 -> cslpull90 2025-08-14T21:26:41.1250409Z * [new tag] cslpull91 -> cslpull91 2025-08-14T21:26:41.1250498Z * [new tag] cslpull92 -> cslpull92 2025-08-14T21:26:41.1250844Z * [new tag] flight_5 -> flight_5 2025-08-14T21:26:41.1251147Z * [new tag] flight_5.1 -> flight_5.1 2025-08-14T21:26:41.1251446Z * [new tag] flight_5.2 -> flight_5.2 2025-08-14T21:26:41.1251696Z * [new tag] flight_5.3 -> flight_5.3 2025-08-14T21:26:41.1252002Z * [new tag] forpull1 -> forpull1 2025-08-14T21:26:41.1252401Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-08-14T21:26:41.1252695Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-08-14T21:26:41.1254060Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-08-14T21:26:41.1254222Z * [new tag] nightly-binary -> nightly-binary 2025-08-14T21:26:41.1254297Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-08-14T21:26:41.1254364Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-08-14T21:26:41.1254511Z * [new tag] trunk/01584d2a7d029c9749eb73678cf1dc313cc35df6 -> trunk/01584d2a7d029c9749eb73678cf1dc313cc35df6 2025-08-14T21:26:41.1255087Z * [new tag] trunk/017259f9c65b6fad55fb9597d7077e2543eaae46 -> trunk/017259f9c65b6fad55fb9597d7077e2543eaae46 2025-08-14T21:26:41.1255266Z * [new tag] trunk/01bcf9a40dea937637d2cdd530bed2652510943d -> trunk/01bcf9a40dea937637d2cdd530bed2652510943d 2025-08-14T21:26:41.1255410Z * [new tag] trunk/01f66d08d93365015f4af005a252f439c4d4013a -> trunk/01f66d08d93365015f4af005a252f439c4d4013a 2025-08-14T21:26:41.1255556Z * [new tag] trunk/03b254e49f2d4c092e6ca712e5702cf2895aa47e -> trunk/03b254e49f2d4c092e6ca712e5702cf2895aa47e 2025-08-14T21:26:41.1255824Z * [new tag] trunk/05029ad1c30865d3f7e7fd13384db9d826e563eb -> trunk/05029ad1c30865d3f7e7fd13384db9d826e563eb 2025-08-14T21:26:41.1256123Z * [new tag] trunk/05c19d1acecc01b0d2512364183058a6885b9869 -> trunk/05c19d1acecc01b0d2512364183058a6885b9869 2025-08-14T21:26:41.1256566Z * [new tag] trunk/05c417715f791875fbf28cfc3fc86142de1a3206 -> trunk/05c417715f791875fbf28cfc3fc86142de1a3206 2025-08-14T21:26:41.1256863Z * [new tag] trunk/06824f3c7268bb807a422b663047cd0900ddd126 -> trunk/06824f3c7268bb807a422b663047cd0900ddd126 2025-08-14T21:26:41.1257025Z * [new tag] trunk/077cb389746a7d61cfc018aad2ba29a8aa195610 -> trunk/077cb389746a7d61cfc018aad2ba29a8aa195610 2025-08-14T21:26:41.1257418Z * [new tag] trunk/089c4a1ba007ed4abb3e5e0eafd97b7584566057 -> trunk/089c4a1ba007ed4abb3e5e0eafd97b7584566057 2025-08-14T21:26:41.1257672Z * [new tag] trunk/09381f5dacda7bbbfa361f5df76bde5cd309adc1 -> trunk/09381f5dacda7bbbfa361f5df76bde5cd309adc1 2025-08-14T21:26:41.1257996Z * [new tag] trunk/0bd3af4fb87445f4de3a1f9b823e399c8b3cefde -> trunk/0bd3af4fb87445f4de3a1f9b823e399c8b3cefde 2025-08-14T21:26:41.1259551Z * [new tag] trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4 -> trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4 2025-08-14T21:26:41.1259866Z * [new tag] trunk/0d40ff3b496e68193bc16d5391fa2e3623709f81 -> trunk/0d40ff3b496e68193bc16d5391fa2e3623709f81 2025-08-14T21:26:41.1260011Z * [new tag] trunk/0d71ca2c46753bb268bfdcf815c14415c122a289 -> trunk/0d71ca2c46753bb268bfdcf815c14415c122a289 2025-08-14T21:26:41.1260148Z * [new tag] trunk/0d88593dd826544c9e7bd4aa615ef86847a78d2b -> trunk/0d88593dd826544c9e7bd4aa615ef86847a78d2b 2025-08-14T21:26:41.1260280Z * [new tag] trunk/0e3e377bd5126cfcc69d70c4d77b352d3404cc11 -> trunk/0e3e377bd5126cfcc69d70c4d77b352d3404cc11 2025-08-14T21:26:41.1263507Z * [new tag] trunk/0f3b10b8eebe68e3c75d473d499b87dfe14a2eca -> trunk/0f3b10b8eebe68e3c75d473d499b87dfe14a2eca 2025-08-14T21:26:41.1263670Z * [new tag] trunk/101276f81b4d2a8c31bfd6796b986d4c1bfdf483 -> trunk/101276f81b4d2a8c31bfd6796b986d4c1bfdf483 2025-08-14T21:26:41.1263810Z * [new tag] trunk/1028c5e2d50e121865bf98307e7c035f549a24b2 -> trunk/1028c5e2d50e121865bf98307e7c035f549a24b2 2025-08-14T21:26:41.1263963Z * [new tag] trunk/10bc36fe840cb3510fab84d2ea22663b76702f1e -> trunk/10bc36fe840cb3510fab84d2ea22663b76702f1e 2025-08-14T21:26:41.1264097Z * [new tag] trunk/10e3514c962b58cbbee994257872a626ff76d51b -> trunk/10e3514c962b58cbbee994257872a626ff76d51b 2025-08-14T21:26:41.1264246Z * [new tag] trunk/1128f4c2a822cbe34a9d966306af15097179ffe1 -> trunk/1128f4c2a822cbe34a9d966306af15097179ffe1 2025-08-14T21:26:41.1264376Z * [new tag] trunk/114a6c40434bfb9cfa5abc30e9e34d81300d743e -> trunk/114a6c40434bfb9cfa5abc30e9e34d81300d743e 2025-08-14T21:26:41.1264506Z * [new tag] trunk/118bc97b14c24ac88a4b0c0750a9e7bf93154c76 -> trunk/118bc97b14c24ac88a4b0c0750a9e7bf93154c76 2025-08-14T21:26:41.1264648Z * [new tag] trunk/1196bb1c2e4d5a7edc09f2260e3034132f0c6c91 -> trunk/1196bb1c2e4d5a7edc09f2260e3034132f0c6c91 2025-08-14T21:26:41.1264781Z * [new tag] trunk/11a3565f1872bbad9c253a127e8d4ce7a1b40ec8 -> trunk/11a3565f1872bbad9c253a127e8d4ce7a1b40ec8 2025-08-14T21:26:41.1264914Z * [new tag] trunk/15e49f61643e4c0eef420f0981609709ef55b848 -> trunk/15e49f61643e4c0eef420f0981609709ef55b848 2025-08-14T21:26:41.1265047Z * [new tag] trunk/16d15445f8bd8740095b23de4af89d757af793ca -> trunk/16d15445f8bd8740095b23de4af89d757af793ca 2025-08-14T21:26:41.1265175Z * [new tag] trunk/178515d0ff6833c8e9221482b2a650ab31e00019 -> trunk/178515d0ff6833c8e9221482b2a650ab31e00019 2025-08-14T21:26:41.1265314Z * [new tag] trunk/182efe31dbe43376e7eef7338356aaf94d5bcabe -> trunk/182efe31dbe43376e7eef7338356aaf94d5bcabe 2025-08-14T21:26:41.1265458Z * [new tag] trunk/194fcfcfbdad0add1a1b695321e31a576058f4cf -> trunk/194fcfcfbdad0add1a1b695321e31a576058f4cf 2025-08-14T21:26:41.1265801Z * [new tag] trunk/195b5c2e27eb8f21cbc8ad1e90f42db5a8cfccca -> trunk/195b5c2e27eb8f21cbc8ad1e90f42db5a8cfccca 2025-08-14T21:26:41.1266008Z * [new tag] trunk/198b5fd2d47fa3d5110ceba6827a3b18e0064014 -> trunk/198b5fd2d47fa3d5110ceba6827a3b18e0064014 2025-08-14T21:26:41.1266150Z * [new tag] trunk/199e9abb6a366bbd27c39d1da7c3123b4eea9b5a -> trunk/199e9abb6a366bbd27c39d1da7c3123b4eea9b5a 2025-08-14T21:26:41.1266286Z * [new tag] trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7 -> trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7 2025-08-14T21:26:41.1266533Z * [new tag] trunk/1c2587119152cec3905647a47c65d3d26619c5a8 -> trunk/1c2587119152cec3905647a47c65d3d26619c5a8 2025-08-14T21:26:41.1266669Z * [new tag] trunk/1c26c53851c212a7c90a325549a72f0571613a8c -> trunk/1c26c53851c212a7c90a325549a72f0571613a8c 2025-08-14T21:26:41.1266815Z * [new tag] trunk/1c2cba17eab2b09d87142883da2bdbdbcf018613 -> trunk/1c2cba17eab2b09d87142883da2bdbdbcf018613 2025-08-14T21:26:41.1266948Z * [new tag] trunk/1d80d697a269234b47ec7ede192faf3bb9b159e3 -> trunk/1d80d697a269234b47ec7ede192faf3bb9b159e3 2025-08-14T21:26:41.1268625Z * [new tag] trunk/1ea688f9a2602fbcde32c0302b822526ca4219dc -> trunk/1ea688f9a2602fbcde32c0302b822526ca4219dc 2025-08-14T21:26:41.1268790Z * [new tag] trunk/1f4057c11ac941fb324386ca594d0a6882185aad -> trunk/1f4057c11ac941fb324386ca594d0a6882185aad 2025-08-14T21:26:41.1268927Z * [new tag] trunk/1fc683cf17c8c673044538d10266c00f92987be2 -> trunk/1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:26:41.1269071Z * [new tag] trunk/1febab2a89302464f6c7d69cfbef7a24c421ea65 -> trunk/1febab2a89302464f6c7d69cfbef7a24c421ea65 2025-08-14T21:26:41.1269200Z * [new tag] trunk/206c1eef6571f906c2792d899a09136b3fce9673 -> trunk/206c1eef6571f906c2792d899a09136b3fce9673 2025-08-14T21:26:41.1269336Z * [new tag] trunk/20bdabbb3c5d6b118a94b2e045c777662563d5bb -> trunk/20bdabbb3c5d6b118a94b2e045c777662563d5bb 2025-08-14T21:26:41.1269460Z * [new tag] trunk/21392c0e06ac2b2621950455975ca6332f0bf641 -> trunk/21392c0e06ac2b2621950455975ca6332f0bf641 2025-08-14T21:26:41.1269588Z * [new tag] trunk/2247aa6d1d43e256255f5c74a781c3190a4387b6 -> trunk/2247aa6d1d43e256255f5c74a781c3190a4387b6 2025-08-14T21:26:41.1269721Z * [new tag] trunk/2259dbed4e0d3f2a8174b5847fd0741aed42451d -> trunk/2259dbed4e0d3f2a8174b5847fd0741aed42451d 2025-08-14T21:26:41.1269853Z * [new tag] trunk/231c72240d80091f099c95e326d3600cba866eee -> trunk/231c72240d80091f099c95e326d3600cba866eee 2025-08-14T21:26:41.1269984Z * [new tag] trunk/24257f5bfaa37795f74d9f64c1b43584128d4b8c -> trunk/24257f5bfaa37795f74d9f64c1b43584128d4b8c 2025-08-14T21:26:41.1270221Z * [new tag] trunk/24f43d0da7ad9c6e95a09a2fee610387728cc1cd -> trunk/24f43d0da7ad9c6e95a09a2fee610387728cc1cd 2025-08-14T21:26:41.1270728Z * [new tag] trunk/2898d3f965e5cd9d02fc2ecdab7c580fd457fea9 -> trunk/2898d3f965e5cd9d02fc2ecdab7c580fd457fea9 2025-08-14T21:26:41.1270998Z * [new tag] trunk/28ccc9e7247798980fe00a11bcd64a8016b5f227 -> trunk/28ccc9e7247798980fe00a11bcd64a8016b5f227 2025-08-14T21:26:41.1271201Z * [new tag] trunk/29712314dd5cf500a8ea3d1c69483a3cb768ca72 -> trunk/29712314dd5cf500a8ea3d1c69483a3cb768ca72 2025-08-14T21:26:41.1271606Z * [new tag] trunk/29d20d49f0b7f4e362e1cefdcdc4b5659969312c -> trunk/29d20d49f0b7f4e362e1cefdcdc4b5659969312c 2025-08-14T21:26:41.1271872Z * [new tag] trunk/2c5e10a5fceb208b11c3d569ae02e348b5893b31 -> trunk/2c5e10a5fceb208b11c3d569ae02e348b5893b31 2025-08-14T21:26:41.1272123Z * [new tag] trunk/2d0cdee394bccadcd0abe19dd4623ed978a331ad -> trunk/2d0cdee394bccadcd0abe19dd4623ed978a331ad 2025-08-14T21:26:41.1272353Z * [new tag] trunk/2e4e5ab4be9e0aeffd9c49b5b2f9f820bd0895b1 -> trunk/2e4e5ab4be9e0aeffd9c49b5b2f9f820bd0895b1 2025-08-14T21:26:41.1272674Z * [new tag] trunk/2ea40fba841b3af8103f332ba62e54f350ba9a51 -> trunk/2ea40fba841b3af8103f332ba62e54f350ba9a51 2025-08-14T21:26:41.1272978Z * [new tag] trunk/2ee22e435131369a7e4f8cc4732579acc29a941b -> trunk/2ee22e435131369a7e4f8cc4732579acc29a941b 2025-08-14T21:26:41.1273232Z * [new tag] trunk/2f4c2226175512af787725c4d5ad7313c60d4db1 -> trunk/2f4c2226175512af787725c4d5ad7313c60d4db1 2025-08-14T21:26:41.1274881Z * [new tag] trunk/3008d985a8fc155eb89374afff50cb33a6bd10d5 -> trunk/3008d985a8fc155eb89374afff50cb33a6bd10d5 2025-08-14T21:26:41.1275105Z * [new tag] trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2 -> trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2 2025-08-14T21:26:41.1275246Z * [new tag] trunk/303c614f3df95ae2b659c5f6c1838b14e4776ce6 -> trunk/303c614f3df95ae2b659c5f6c1838b14e4776ce6 2025-08-14T21:26:41.1275384Z * [new tag] trunk/305fa2239365ad17ac9c534a68bba8a149c42d67 -> trunk/305fa2239365ad17ac9c534a68bba8a149c42d67 2025-08-14T21:26:41.1275520Z * [new tag] trunk/31c9ac4319c0cc2ed8c6be701c6ccf73f6cb4706 -> trunk/31c9ac4319c0cc2ed8c6be701c6ccf73f6cb4706 2025-08-14T21:26:41.1275649Z * [new tag] trunk/32099961d588fc19ead8afe805d6b5108de75669 -> trunk/32099961d588fc19ead8afe805d6b5108de75669 2025-08-14T21:26:41.1275786Z * [new tag] trunk/32e5e2f596d55bb9441d5d53f3c58bcb55828047 -> trunk/32e5e2f596d55bb9441d5d53f3c58bcb55828047 2025-08-14T21:26:41.1275923Z * [new tag] trunk/334b38ccc4427b1d14981c48a3a0b92180d58225 -> trunk/334b38ccc4427b1d14981c48a3a0b92180d58225 2025-08-14T21:26:41.1276136Z * [new tag] trunk/334ecbd4ffe11858cae7d23d1190ddb4777c2513 -> trunk/334ecbd4ffe11858cae7d23d1190ddb4777c2513 2025-08-14T21:26:41.1276589Z * [new tag] trunk/33d94018668951611b318b7515ae96f04e48eac0 -> trunk/33d94018668951611b318b7515ae96f04e48eac0 2025-08-14T21:26:41.1276850Z * [new tag] trunk/34358f335d95213d96b6cca6a83e7bf3af6a9fcb -> trunk/34358f335d95213d96b6cca6a83e7bf3af6a9fcb 2025-08-14T21:26:41.1277241Z * [new tag] trunk/34ec5ed275f8aa875c80daa97b3e82af0b06f673 -> trunk/34ec5ed275f8aa875c80daa97b3e82af0b06f673 2025-08-14T21:26:41.1277452Z * [new tag] trunk/355462e1278d818deb9ef4a184073d5b66074816 -> trunk/355462e1278d818deb9ef4a184073d5b66074816 2025-08-14T21:26:41.1280276Z * [new tag] trunk/3626ba711b34397d1fbf0a9b1979f85cbf68b919 -> trunk/3626ba711b34397d1fbf0a9b1979f85cbf68b919 2025-08-14T21:26:41.1280503Z * [new tag] trunk/36f46d082a4954921cb8493223f000f2aab79ed7 -> trunk/36f46d082a4954921cb8493223f000f2aab79ed7 2025-08-14T21:26:41.1280702Z * [new tag] trunk/39aa3d1471549b7829c207d634dfdc1d26e346a2 -> trunk/39aa3d1471549b7829c207d634dfdc1d26e346a2 2025-08-14T21:26:41.1280852Z * [new tag] trunk/3a562374401113187ce2566b87e3f1d87d7c53aa -> trunk/3a562374401113187ce2566b87e3f1d87d7c53aa 2025-08-14T21:26:41.1281054Z * [new tag] trunk/3ac86e728dfaa7383ff7f865e9e7d33486188dae -> trunk/3ac86e728dfaa7383ff7f865e9e7d33486188dae 2025-08-14T21:26:41.1281364Z * [new tag] trunk/3be70dc30e893b552fc0f23ca06cd8f7949b6d08 -> trunk/3be70dc30e893b552fc0f23ca06cd8f7949b6d08 2025-08-14T21:26:41.1281615Z * [new tag] trunk/3cec82a7e9aea040a34dd7a2587ae6d3bd65dba0 -> trunk/3cec82a7e9aea040a34dd7a2587ae6d3bd65dba0 2025-08-14T21:26:41.1282262Z * [new tag] trunk/3cf7b4024ef83e44e9ae223dbff7c7ab68240cb2 -> trunk/3cf7b4024ef83e44e9ae223dbff7c7ab68240cb2 2025-08-14T21:26:41.1282488Z * [new tag] trunk/3ef2e1ef769582a82c6ddf150e9d11bf4bf1c44f -> trunk/3ef2e1ef769582a82c6ddf150e9d11bf4bf1c44f 2025-08-14T21:26:41.1284783Z * [new tag] trunk/3f1636ebef9b45e8a3cb0eb20d327ee6acb74be0 -> trunk/3f1636ebef9b45e8a3cb0eb20d327ee6acb74be0 2025-08-14T21:26:41.1285183Z * [new tag] trunk/3faee0a6318afcbbbb48687009a459214910d820 -> trunk/3faee0a6318afcbbbb48687009a459214910d820 2025-08-14T21:26:41.1285435Z * [new tag] trunk/3fcd79e023da7156ac584992ebab29205d3b7881 -> trunk/3fcd79e023da7156ac584992ebab29205d3b7881 2025-08-14T21:26:41.1285568Z * [new tag] trunk/3fe19a7a0af3f4d692af30476c320be18c7e8ae6 -> trunk/3fe19a7a0af3f4d692af30476c320be18c7e8ae6 2025-08-14T21:26:41.1285697Z * [new tag] trunk/41673110cd7c5960824cc74a6fcaeda1a8bc7a23 -> trunk/41673110cd7c5960824cc74a6fcaeda1a8bc7a23 2025-08-14T21:26:41.1285832Z * [new tag] trunk/4183d4ff3dcc1d87400326a9a7998c3f9e966f60 -> trunk/4183d4ff3dcc1d87400326a9a7998c3f9e966f60 2025-08-14T21:26:41.1285966Z * [new tag] trunk/422bd6808bb98cbbac31d157d9c82ad11ba9732d -> trunk/422bd6808bb98cbbac31d157d9c82ad11ba9732d 2025-08-14T21:26:41.1286106Z * [new tag] trunk/42e51cd4b3973a053fcfa80878a3f346fd158e9f -> trunk/42e51cd4b3973a053fcfa80878a3f346fd158e9f 2025-08-14T21:26:41.1286244Z * [new tag] trunk/4416433c7c625127b7f975c92f8ec98ea4c67fd3 -> trunk/4416433c7c625127b7f975c92f8ec98ea4c67fd3 2025-08-14T21:26:41.1286378Z * [new tag] trunk/45ba7ecda876685b083cbbe932450560c566826b -> trunk/45ba7ecda876685b083cbbe932450560c566826b 2025-08-14T21:26:41.1286594Z * [new tag] trunk/47a1db823dfcdacdb99f317428fc3791a18c5812 -> trunk/47a1db823dfcdacdb99f317428fc3791a18c5812 2025-08-14T21:26:41.1286739Z * [new tag] trunk/4a773e1e867f28a8ff0b15203e5cd9548f74fcee -> trunk/4a773e1e867f28a8ff0b15203e5cd9548f74fcee 2025-08-14T21:26:41.1286904Z * [new tag] trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3 -> trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3 2025-08-14T21:26:41.1287212Z * [new tag] trunk/4cde0acc0e4e795e1a12cbdd9b93c8c04c1fa05d -> trunk/4cde0acc0e4e795e1a12cbdd9b93c8c04c1fa05d 2025-08-14T21:26:41.1287582Z * [new tag] trunk/4d419a74610c32b1372f8802dcc61893740a23cf -> trunk/4d419a74610c32b1372f8802dcc61893740a23cf 2025-08-14T21:26:41.1287875Z * [new tag] trunk/4d5b3f2d5af7c8e4f41da4ffca53fafe8bb86235 -> trunk/4d5b3f2d5af7c8e4f41da4ffca53fafe8bb86235 2025-08-14T21:26:41.1288283Z * [new tag] trunk/4e2ddb5db67617f9f5309c8bba0c17adc84cadbc -> trunk/4e2ddb5db67617f9f5309c8bba0c17adc84cadbc 2025-08-14T21:26:41.1289268Z * [new tag] trunk/50a8c118754a6c5a46968f5c8e215ccba6831d42 -> trunk/50a8c118754a6c5a46968f5c8e215ccba6831d42 2025-08-14T21:26:41.1289450Z * [new tag] trunk/50f23ff6f883db5021dd6bab4c146434f98dd15d -> trunk/50f23ff6f883db5021dd6bab4c146434f98dd15d 2025-08-14T21:26:41.1289607Z * [new tag] trunk/515cb70367e84fcbad23fcc5b39eb1d7706df2aa -> trunk/515cb70367e84fcbad23fcc5b39eb1d7706df2aa 2025-08-14T21:26:41.1289790Z * [new tag] trunk/53e39494958b7e2278cc8176f63636e812e8945f -> trunk/53e39494958b7e2278cc8176f63636e812e8945f 2025-08-14T21:26:41.1289946Z * [new tag] trunk/556e2a73f4f0643f7c2aeb5c7dddda43388a40ce -> trunk/556e2a73f4f0643f7c2aeb5c7dddda43388a40ce 2025-08-14T21:26:41.1291995Z * [new tag] trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919 -> trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919 2025-08-14T21:26:41.1292328Z * [new tag] trunk/566c6d52ef1411c8262d7b9cf85e2044fdfbe1a3 -> trunk/566c6d52ef1411c8262d7b9cf85e2044fdfbe1a3 2025-08-14T21:26:41.1292480Z * [new tag] trunk/56c828bef93eada0e18d2cc013207831ca80cc99 -> trunk/56c828bef93eada0e18d2cc013207831ca80cc99 2025-08-14T21:26:41.1292626Z * [new tag] trunk/5737372862253a0ac0292407a5844796f02380ad -> trunk/5737372862253a0ac0292407a5844796f02380ad 2025-08-14T21:26:41.1292768Z * [new tag] trunk/57f738b6357cc8fcdde479a0948e723809a1a44d -> trunk/57f738b6357cc8fcdde479a0948e723809a1a44d 2025-08-14T21:26:41.1293281Z * [new tag] trunk/5a40c5784482255b9baf14086cc4b9349fc6d512 -> trunk/5a40c5784482255b9baf14086cc4b9349fc6d512 2025-08-14T21:26:41.1293429Z * [new tag] trunk/5a9c4cfce42b9eb87da0de40c5633f083115c307 -> trunk/5a9c4cfce42b9eb87da0de40c5633f083115c307 2025-08-14T21:26:41.1293687Z * [new tag] trunk/5ace061254af71aa83d1baae81aa1864c9746add -> trunk/5ace061254af71aa83d1baae81aa1864c9746add 2025-08-14T21:26:41.1293840Z * [new tag] trunk/5dddcd5b07c6644efca8d613f4eca1dc95daa87f -> trunk/5dddcd5b07c6644efca8d613f4eca1dc95daa87f 2025-08-14T21:26:41.1293983Z * [new tag] trunk/5ed4f9177907fe403ec4c4499d0d0e9be6b68fcf -> trunk/5ed4f9177907fe403ec4c4499d0d0e9be6b68fcf 2025-08-14T21:26:41.1294120Z * [new tag] trunk/5f1010fbb3850d99c8fdf9a9de2f79260cdc586a -> trunk/5f1010fbb3850d99c8fdf9a9de2f79260cdc586a 2025-08-14T21:26:41.1294256Z * [new tag] trunk/5f5f508aa836a46dfe88857fb223049616b94e93 -> trunk/5f5f508aa836a46dfe88857fb223049616b94e93 2025-08-14T21:26:41.1294413Z * [new tag] trunk/62bac0798100e0e06a86b7a4cee1788413e3d0ca -> trunk/62bac0798100e0e06a86b7a4cee1788413e3d0ca 2025-08-14T21:26:41.1294569Z * [new tag] trunk/63654ba4c5178fd12220cfc9d1c878af2fdd07cc -> trunk/63654ba4c5178fd12220cfc9d1c878af2fdd07cc 2025-08-14T21:26:41.1294841Z * [new tag] trunk/639778b3ee3b80e0894367fdc4442b58ae1b3a62 -> trunk/639778b3ee3b80e0894367fdc4442b58ae1b3a62 2025-08-14T21:26:41.1295199Z * [new tag] trunk/641ee7478150f26969968f49d8b358e199679a8a -> trunk/641ee7478150f26969968f49d8b358e199679a8a 2025-08-14T21:26:41.1295484Z * [new tag] trunk/65053c03a3d209060cb239d20a229dac37cf9dd1 -> trunk/65053c03a3d209060cb239d20a229dac37cf9dd1 2025-08-14T21:26:41.1295843Z * [new tag] trunk/652a6f5954d039d61dc6e6575ccf89d385d74537 -> trunk/652a6f5954d039d61dc6e6575ccf89d385d74537 2025-08-14T21:26:41.1296203Z * [new tag] trunk/685f15dbea66e8ffa8564752f81ad2f6cb447a14 -> trunk/685f15dbea66e8ffa8564752f81ad2f6cb447a14 2025-08-14T21:26:41.1296618Z * [new tag] trunk/68a4b4b2e336cfd4451ce6546d900568e5ddf96c -> trunk/68a4b4b2e336cfd4451ce6546d900568e5ddf96c 2025-08-14T21:26:41.1297383Z * [new tag] trunk/69a0a9aa7f5e320a02e97fa789d2f72baff1554f -> trunk/69a0a9aa7f5e320a02e97fa789d2f72baff1554f 2025-08-14T21:26:41.1297552Z * [new tag] trunk/6be6d06295c870c77a6eb69f96b3170d983520d5 -> trunk/6be6d06295c870c77a6eb69f96b3170d983520d5 2025-08-14T21:26:41.1297908Z * [new tag] trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49 -> trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49 2025-08-14T21:26:41.1302156Z * [new tag] trunk/6da11d9aafc0d84dc7f66030c181608ff2614f66 -> trunk/6da11d9aafc0d84dc7f66030c181608ff2614f66 2025-08-14T21:26:41.1302495Z * [new tag] trunk/6e8865fbc161270e2ffc52817e6c667df417a3f7 -> trunk/6e8865fbc161270e2ffc52817e6c667df417a3f7 2025-08-14T21:26:41.1302660Z * [new tag] trunk/6ea8376f84232048d6be0f7b2edf82aec1b61d58 -> trunk/6ea8376f84232048d6be0f7b2edf82aec1b61d58 2025-08-14T21:26:41.1302806Z * [new tag] trunk/6ee175195ac7853734d64704171993cc6265eb38 -> trunk/6ee175195ac7853734d64704171993cc6265eb38 2025-08-14T21:26:41.1302938Z * [new tag] trunk/6f0f4e0c3eacd479864319127915f869f64e1935 -> trunk/6f0f4e0c3eacd479864319127915f869f64e1935 2025-08-14T21:26:41.1303074Z * [new tag] trunk/70ccdec44b89e355a2cb03ba14a634284f7750f8 -> trunk/70ccdec44b89e355a2cb03ba14a634284f7750f8 2025-08-14T21:26:41.1303212Z * [new tag] trunk/72009ec6bebca7714f99c18449183787f202af4d -> trunk/72009ec6bebca7714f99c18449183787f202af4d 2025-08-14T21:26:41.1303345Z * [new tag] trunk/731ee31f7b6ba19307daab323f6196172b71aaf8 -> trunk/731ee31f7b6ba19307daab323f6196172b71aaf8 2025-08-14T21:26:41.1303585Z * [new tag] trunk/76a0609b6bddb2bc40f1eb4ade12885023653d59 -> trunk/76a0609b6bddb2bc40f1eb4ade12885023653d59 2025-08-14T21:26:41.1303720Z * [new tag] trunk/781e9a7724c47496e3d38a81e6dd6194cf098c41 -> trunk/781e9a7724c47496e3d38a81e6dd6194cf098c41 2025-08-14T21:26:41.1303939Z * [new tag] trunk/78a2fe1d42edeaa2ef7020b0fa0ac82ee4a640e4 -> trunk/78a2fe1d42edeaa2ef7020b0fa0ac82ee4a640e4 2025-08-14T21:26:41.1304077Z * [new tag] trunk/7a974a88f2c529a614baeabe4debd00fc8a3b299 -> trunk/7a974a88f2c529a614baeabe4debd00fc8a3b299 2025-08-14T21:26:41.1304216Z * [new tag] trunk/7ae0629d64b404e0ef5d9c931433ad25e65d6114 -> trunk/7ae0629d64b404e0ef5d9c931433ad25e65d6114 2025-08-14T21:26:41.1304355Z * [new tag] trunk/7d2ec704e47f4b740cdecda5534b305e8e1875ef -> trunk/7d2ec704e47f4b740cdecda5534b305e8e1875ef 2025-08-14T21:26:41.1304502Z * [new tag] trunk/7d87e358ac8440f666fabbfd99058bb5342be6ac -> trunk/7d87e358ac8440f666fabbfd99058bb5342be6ac 2025-08-14T21:26:41.1304641Z * [new tag] trunk/7e27347fd353928c99620495c8c531a5eba7d56b -> trunk/7e27347fd353928c99620495c8c531a5eba7d56b 2025-08-14T21:26:41.1304771Z * [new tag] trunk/7e91394955721c77645fcdb75a5d47a255d65020 -> trunk/7e91394955721c77645fcdb75a5d47a255d65020 2025-08-14T21:26:41.1304910Z * [new tag] trunk/7f4cb4a3e018a621add2a37a3a2f67b982d51001 -> trunk/7f4cb4a3e018a621add2a37a3a2f67b982d51001 2025-08-14T21:26:41.1305046Z * [new tag] trunk/7fbc22855c17741ae016992803b2e147a13aa22d -> trunk/7fbc22855c17741ae016992803b2e147a13aa22d 2025-08-14T21:26:41.1305187Z * [new tag] trunk/8047421fbb607d70ede13b9cd5a60b7b8bdfe348 -> trunk/8047421fbb607d70ede13b9cd5a60b7b8bdfe348 2025-08-14T21:26:41.1305322Z * [new tag] trunk/8088cfa592504a2897b4c78f8a46fe658ab5c2c2 -> trunk/8088cfa592504a2897b4c78f8a46fe658ab5c2c2 2025-08-14T21:26:41.1305460Z * [new tag] trunk/80cca8307943ba64168208b54028f55b2c71daff -> trunk/80cca8307943ba64168208b54028f55b2c71daff 2025-08-14T21:26:41.1307243Z * [new tag] trunk/8147370733bbdcd034cad54e9212e51885a11892 -> trunk/8147370733bbdcd034cad54e9212e51885a11892 2025-08-14T21:26:41.1307669Z * [new tag] trunk/83875cdb5594ccb3c9206b8eb5745fe1d011cf26 -> trunk/83875cdb5594ccb3c9206b8eb5745fe1d011cf26 2025-08-14T21:26:41.1307818Z * [new tag] trunk/8399cf88ce8399d2be93355f29d4cb69f51c0654 -> trunk/8399cf88ce8399d2be93355f29d4cb69f51c0654 2025-08-14T21:26:41.1307974Z * [new tag] trunk/842cc77ab9aafd518593c2fce077d6abb42a5b7f -> trunk/842cc77ab9aafd518593c2fce077d6abb42a5b7f 2025-08-14T21:26:41.1308109Z * [new tag] trunk/85db508af533649d0b3447ff3f0d5fe083150c84 -> trunk/85db508af533649d0b3447ff3f0d5fe083150c84 2025-08-14T21:26:41.1308244Z * [new tag] trunk/86eb65f7f06016bcd5d7951dc9d74bc3993a827a -> trunk/86eb65f7f06016bcd5d7951dc9d74bc3993a827a 2025-08-14T21:26:41.1308393Z * [new tag] trunk/87e6c4079d8ec7d04aff00ed82096b39836a8367 -> trunk/87e6c4079d8ec7d04aff00ed82096b39836a8367 2025-08-14T21:26:41.1308532Z * [new tag] trunk/89654db1abccf7e5f261989a150db4d1619ea2aa -> trunk/89654db1abccf7e5f261989a150db4d1619ea2aa 2025-08-14T21:26:41.1308671Z * [new tag] trunk/8a37f0c90392a2c38b7c5955471fa49edcaf5cb1 -> trunk/8a37f0c90392a2c38b7c5955471fa49edcaf5cb1 2025-08-14T21:26:41.1308830Z * [new tag] trunk/8ab5868a2199fe485c2d66533b9244ccb97e487d -> trunk/8ab5868a2199fe485c2d66533b9244ccb97e487d 2025-08-14T21:26:41.1309188Z * [new tag] trunk/8ae4d2652f64b8444b3d5314b9232bd2119bcde6 -> trunk/8ae4d2652f64b8444b3d5314b9232bd2119bcde6 2025-08-14T21:26:41.1309457Z * [new tag] trunk/8c41cb800ae0411f02ea5da34bd5ccc3790633b0 -> trunk/8c41cb800ae0411f02ea5da34bd5ccc3790633b0 2025-08-14T21:26:41.1309720Z * [new tag] trunk/8cb91e20bc205b1416648d0ffd98d1ba1f3a6fc4 -> trunk/8cb91e20bc205b1416648d0ffd98d1ba1f3a6fc4 2025-08-14T21:26:41.1310113Z * [new tag] trunk/8cfaf51d4e29c9bd9f49ecc98d955ed53df1a13d -> trunk/8cfaf51d4e29c9bd9f49ecc98d955ed53df1a13d 2025-08-14T21:26:41.1310700Z * [new tag] trunk/8d1cf529229dce7cd5ea04abb0faac83b87ca6d1 -> trunk/8d1cf529229dce7cd5ea04abb0faac83b87ca6d1 2025-08-14T21:26:41.1310851Z * [new tag] trunk/8d3d1c844303cb1d46123a1caa76d4cf83973347 -> trunk/8d3d1c844303cb1d46123a1caa76d4cf83973347 2025-08-14T21:26:41.1311214Z * [new tag] trunk/8d6d3246316e1767a57d5e855acd6208da753b75 -> trunk/8d6d3246316e1767a57d5e855acd6208da753b75 2025-08-14T21:26:41.1311535Z * [new tag] trunk/8e6a3138581152ab827a0997f34c470271399f5e -> trunk/8e6a3138581152ab827a0997f34c470271399f5e 2025-08-14T21:26:41.1311749Z * [new tag] trunk/8eee08d2279b98af2522debb6512d37e837e89e3 -> trunk/8eee08d2279b98af2522debb6512d37e837e89e3 2025-08-14T21:26:41.1312150Z * [new tag] trunk/90b78ee50f73b5c963996076a3d54b74b1b965be -> trunk/90b78ee50f73b5c963996076a3d54b74b1b965be 2025-08-14T21:26:41.1312464Z * [new tag] trunk/94b91a876327820a4bb6f5d39d156f13f2553ab6 -> trunk/94b91a876327820a4bb6f5d39d156f13f2553ab6 2025-08-14T21:26:41.1312857Z * [new tag] trunk/95210cc409dd578988c7116b47725c304dea54c7 -> trunk/95210cc409dd578988c7116b47725c304dea54c7 2025-08-14T21:26:41.1314659Z * [new tag] trunk/96bd33b2de79598566df395f32e27c4d33673f05 -> trunk/96bd33b2de79598566df395f32e27c4d33673f05 2025-08-14T21:26:41.1314871Z * [new tag] trunk/9708fcf92db88b80b9010c68662d634434da3106 -> trunk/9708fcf92db88b80b9010c68662d634434da3106 2025-08-14T21:26:41.1315023Z * [new tag] trunk/97c8c98f8dcb9c5c188b691d156e0043dba6c7f8 -> trunk/97c8c98f8dcb9c5c188b691d156e0043dba6c7f8 2025-08-14T21:26:41.1315155Z * [new tag] trunk/9903ca4f70bdc1653016256f5b4fd74fdfc609f8 -> trunk/9903ca4f70bdc1653016256f5b4fd74fdfc609f8 2025-08-14T21:26:41.1315305Z * [new tag] trunk/99bc2f94c1955657e950ebdad5f77e518785ccbd -> trunk/99bc2f94c1955657e950ebdad5f77e518785ccbd 2025-08-14T21:26:41.1315436Z * [new tag] trunk/9a06e6d0310da9d8a59ae05e8ec9c0201b55cacd -> trunk/9a06e6d0310da9d8a59ae05e8ec9c0201b55cacd 2025-08-14T21:26:41.1315577Z * [new tag] trunk/9a0f7a3bb01b235ea04581ee540970a098071b72 -> trunk/9a0f7a3bb01b235ea04581ee540970a098071b72 2025-08-14T21:26:41.1315709Z * [new tag] trunk/9b803cdbe298009f08340c1aaccb25aafbca95d8 -> trunk/9b803cdbe298009f08340c1aaccb25aafbca95d8 2025-08-14T21:26:41.1316138Z * [new tag] trunk/9ccd0f5e31ea54fcf42101dfbaacc103494e34df -> trunk/9ccd0f5e31ea54fcf42101dfbaacc103494e34df 2025-08-14T21:26:41.1316304Z * [new tag] trunk/9d37c960a4fc44d5ac334ca8bf775f85b95d76fc -> trunk/9d37c960a4fc44d5ac334ca8bf775f85b95d76fc 2025-08-14T21:26:41.1316524Z * [new tag] trunk/9e07673deb212c87b1c6fea23799a97474c476ed -> trunk/9e07673deb212c87b1c6fea23799a97474c476ed 2025-08-14T21:26:41.1316837Z * [new tag] trunk/9eedd2a20b64302d0d116ea2802b50948d2ebb09 -> trunk/9eedd2a20b64302d0d116ea2802b50948d2ebb09 2025-08-14T21:26:41.1317089Z * [new tag] trunk/9fa8ce26cf638504469852cbc3e7d04579fc8674 -> trunk/9fa8ce26cf638504469852cbc3e7d04579fc8674 2025-08-14T21:26:41.1317395Z * [new tag] trunk/a06ec54d40013c97fbffc174ea8f524ea5a95715 -> trunk/a06ec54d40013c97fbffc174ea8f524ea5a95715 2025-08-14T21:26:41.1317757Z * [new tag] trunk/a288b15ea9f87ddd665f249d492e0fb0861f5a69 -> trunk/a288b15ea9f87ddd665f249d492e0fb0861f5a69 2025-08-14T21:26:41.1318035Z * [new tag] trunk/a2fd106d670bb4990cebfd00f25ecbae4145e76c -> trunk/a2fd106d670bb4990cebfd00f25ecbae4145e76c 2025-08-14T21:26:41.1318449Z * [new tag] trunk/a354fa91e26b376d96385a2206c5ff5b42aa4600 -> trunk/a354fa91e26b376d96385a2206c5ff5b42aa4600 2025-08-14T21:26:41.1318837Z * [new tag] trunk/a4f69a5da08eace1c1e6469dec6a18aa842da73b -> trunk/a4f69a5da08eace1c1e6469dec6a18aa842da73b 2025-08-14T21:26:41.1319116Z * [new tag] trunk/a53d14d5f846ac44f6c205abb1c5bc4d2f3126ae -> trunk/a53d14d5f846ac44f6c205abb1c5bc4d2f3126ae 2025-08-14T21:26:41.1319501Z * [new tag] trunk/a5652407e4f3d772fc44486ac2abf756decf0861 -> trunk/a5652407e4f3d772fc44486ac2abf756decf0861 2025-08-14T21:26:41.1319870Z * [new tag] trunk/a7abf57aabec0ce686092e2d66e53ba185dbc56b -> trunk/a7abf57aabec0ce686092e2d66e53ba185dbc56b 2025-08-14T21:26:41.1320227Z * [new tag] trunk/a84b60c0c4016785fd93b7b8a0c04f2d0770d332 -> trunk/a84b60c0c4016785fd93b7b8a0c04f2d0770d332 2025-08-14T21:26:41.1322335Z * [new tag] trunk/aa75e917bdb0f95bb6dee81853c2d3c4ab3e1883 -> trunk/aa75e917bdb0f95bb6dee81853c2d3c4ab3e1883 2025-08-14T21:26:41.1322659Z * [new tag] trunk/adcca7d9a1c053495e99012de801b2ea237faad0 -> trunk/adcca7d9a1c053495e99012de801b2ea237faad0 2025-08-14T21:26:41.1322817Z * [new tag] trunk/af10f1f86cc4effc93142a447693d8be55966615 -> trunk/af10f1f86cc4effc93142a447693d8be55966615 2025-08-14T21:26:41.1322953Z * [new tag] trunk/af3cabc55d5699f4da528e1ca39d83338f84ae8c -> trunk/af3cabc55d5699f4da528e1ca39d83338f84ae8c 2025-08-14T21:26:41.1323102Z * [new tag] trunk/b0df7715e8c590c0001d1f9cdb97057be80c9107 -> trunk/b0df7715e8c590c0001d1f9cdb97057be80c9107 2025-08-14T21:26:41.1323230Z * [new tag] trunk/b149c7204c218e7c4d6594a89dd74f72bd480ec5 -> trunk/b149c7204c218e7c4d6594a89dd74f72bd480ec5 2025-08-14T21:26:41.1323360Z * [new tag] trunk/b1a602762e6a6674b406a3137e7e7a678885a97b -> trunk/b1a602762e6a6674b406a3137e7e7a678885a97b 2025-08-14T21:26:41.1323495Z * [new tag] trunk/b1f43548cad8fc0e30bda250f6e196310fa7a4bc -> trunk/b1f43548cad8fc0e30bda250f6e196310fa7a4bc 2025-08-14T21:26:41.1323637Z * [new tag] trunk/b219ca2a00a305753c4f1ea4c9c5d23243d54753 -> trunk/b219ca2a00a305753c4f1ea4c9c5d23243d54753 2025-08-14T21:26:41.1323775Z * [new tag] trunk/b4596895b9d85a686c2cb978938b0a7797b3690a -> trunk/b4596895b9d85a686c2cb978938b0a7797b3690a 2025-08-14T21:26:41.1323926Z * [new tag] trunk/b5fd7223b1bf44720dc9183bda7dfcf7aeccff02 -> trunk/b5fd7223b1bf44720dc9183bda7dfcf7aeccff02 2025-08-14T21:26:41.1324227Z * [new tag] trunk/b602ea9cab7d43a7ee7b4051227090f23fbd3dbf -> trunk/b602ea9cab7d43a7ee7b4051227090f23fbd3dbf 2025-08-14T21:26:41.1324594Z * [new tag] trunk/b6b74aed604bd2e96389ff99aaaf39abc64fdc64 -> trunk/b6b74aed604bd2e96389ff99aaaf39abc64fdc64 2025-08-14T21:26:41.1324859Z * [new tag] trunk/b7db86600a2614adc71c92ca42d359a7ac534d78 -> trunk/b7db86600a2614adc71c92ca42d359a7ac534d78 2025-08-14T21:26:41.1325158Z * [new tag] trunk/b9003ed3d87699e81e436719625a21996a6654e5 -> trunk/b9003ed3d87699e81e436719625a21996a6654e5 2025-08-14T21:26:41.1325556Z * [new tag] trunk/b90feeac86bda00afc2789321bcd706015ff44e3 -> trunk/b90feeac86bda00afc2789321bcd706015ff44e3 2025-08-14T21:26:41.1326214Z * [new tag] trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8 -> trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8 2025-08-14T21:26:41.1326599Z * [new tag] trunk/ba47821f524eee50a214ed39fa2e7765d54aabf4 -> trunk/ba47821f524eee50a214ed39fa2e7765d54aabf4 2025-08-14T21:26:41.1326843Z * [new tag] trunk/ba4ccf5d67e3d237f435eacc2bce3c6025f08491 -> trunk/ba4ccf5d67e3d237f435eacc2bce3c6025f08491 2025-08-14T21:26:41.1327167Z * [new tag] trunk/bcf23ecc476df2bd7479f142567213e2623308ee -> trunk/bcf23ecc476df2bd7479f142567213e2623308ee 2025-08-14T21:26:41.1327565Z * [new tag] trunk/be53f609aaf6f01e2863f490975ea9eaac3ee9ff -> trunk/be53f609aaf6f01e2863f490975ea9eaac3ee9ff 2025-08-14T21:26:41.1327839Z * [new tag] trunk/beb4d7816dedc67a5de1f82e5a45b5910f407941 -> trunk/beb4d7816dedc67a5de1f82e5a45b5910f407941 2025-08-14T21:26:41.1329499Z * [new tag] trunk/bfc873d02ec413344717493e4175a902921359fd -> trunk/bfc873d02ec413344717493e4175a902921359fd 2025-08-14T21:26:41.1329837Z * [new tag] trunk/c184cb3852f0ff2d16a489d61abc3739c309e6ca -> trunk/c184cb3852f0ff2d16a489d61abc3739c309e6ca 2025-08-14T21:26:41.1329982Z * [new tag] trunk/c24ca7f4bf79f62fd623d76346ca27e53f731431 -> trunk/c24ca7f4bf79f62fd623d76346ca27e53f731431 2025-08-14T21:26:41.1330122Z * [new tag] trunk/c3dc8dc4122977893004c49d10e4676cd0a97da4 -> trunk/c3dc8dc4122977893004c49d10e4676cd0a97da4 2025-08-14T21:26:41.1330259Z * [new tag] trunk/c5ec5458a547f7a774468ea0eb2258d3de596492 -> trunk/c5ec5458a547f7a774468ea0eb2258d3de596492 2025-08-14T21:26:41.1330394Z * [new tag] trunk/c5efc5c8a66eca84865015058b3221013ebfe685 -> trunk/c5efc5c8a66eca84865015058b3221013ebfe685 2025-08-14T21:26:41.1330544Z * [new tag] trunk/c6563341208003f64c131854a9cf029555f786d2 -> trunk/c6563341208003f64c131854a9cf029555f786d2 2025-08-14T21:26:41.1330682Z * [new tag] trunk/c6d78d4dbda53837d298d23a5fbc09af90a42d9e -> trunk/c6d78d4dbda53837d298d23a5fbc09af90a42d9e 2025-08-14T21:26:41.1330979Z * [new tag] trunk/c8205cb35435f39d2c26f6c94b45e4adeb6dcb23 -> trunk/c8205cb35435f39d2c26f6c94b45e4adeb6dcb23 2025-08-14T21:26:41.1331221Z * [new tag] trunk/c859ba7114b1fcb49527e090745fa17091d1f8d5 -> trunk/c859ba7114b1fcb49527e090745fa17091d1f8d5 2025-08-14T21:26:41.1331628Z * [new tag] trunk/c86040a8e68f754b90a84099187d3624954c7f36 -> trunk/c86040a8e68f754b90a84099187d3624954c7f36 2025-08-14T21:26:41.1331914Z * [new tag] trunk/c9671dc865aa0fc1cb86df754e355b44d8e02bb4 -> trunk/c9671dc865aa0fc1cb86df754e355b44d8e02bb4 2025-08-14T21:26:41.1332249Z * [new tag] trunk/ca7315c17162ea21b1ca5ba23f4bf6168766c7b9 -> trunk/ca7315c17162ea21b1ca5ba23f4bf6168766c7b9 2025-08-14T21:26:41.1332609Z * [new tag] trunk/cae2b5e3d223829bdc553fc8601df4b1c1554cff -> trunk/cae2b5e3d223829bdc553fc8601df4b1c1554cff 2025-08-14T21:26:41.1332916Z * [new tag] trunk/cbffde774557752cf20447d42d99ec6102673c31 -> trunk/cbffde774557752cf20447d42d99ec6102673c31 2025-08-14T21:26:41.1333321Z * [new tag] trunk/cd8d8c18f5bafdc1c73d5ac0129e7b4d76ab45bc -> trunk/cd8d8c18f5bafdc1c73d5ac0129e7b4d76ab45bc 2025-08-14T21:26:41.1333587Z * [new tag] trunk/cf0a0dcb0afa5e84b95461cc542f862b51ca96bf -> trunk/cf0a0dcb0afa5e84b95461cc542f862b51ca96bf 2025-08-14T21:26:41.1333879Z * [new tag] trunk/cf4964be68fa9f4ffc334f01cce42d7424b1cc81 -> trunk/cf4964be68fa9f4ffc334f01cce42d7424b1cc81 2025-08-14T21:26:41.1334579Z * [new tag] trunk/d0e2240f680ea2a553f7ee8188f52482e130bfd0 -> trunk/d0e2240f680ea2a553f7ee8188f52482e130bfd0 2025-08-14T21:26:41.1334728Z * [new tag] trunk/d1950d4bb5cba8fb6b23e4d283eea5b9801737e2 -> trunk/d1950d4bb5cba8fb6b23e4d283eea5b9801737e2 2025-08-14T21:26:41.1335013Z * [new tag] trunk/d20c4c20e61adecf00335c4d8c22eb1ace472cd3 -> trunk/d20c4c20e61adecf00335c4d8c22eb1ace472cd3 2025-08-14T21:26:41.1335382Z * [new tag] trunk/d25c4f954d599ea512e2f70cd6df101c21479d4c -> trunk/d25c4f954d599ea512e2f70cd6df101c21479d4c 2025-08-14T21:26:41.1335670Z * [new tag] trunk/d3d359dbafa89173a371e2637f22b47398e94a24 -> trunk/d3d359dbafa89173a371e2637f22b47398e94a24 2025-08-14T21:26:41.1337349Z * [new tag] trunk/d46768db04499d07a5b0db984112a6d1b7d3b0c1 -> trunk/d46768db04499d07a5b0db984112a6d1b7d3b0c1 2025-08-14T21:26:41.1337714Z * [new tag] trunk/d4c1a08c89f37d249a0146ff511c82ecc5c53b8f -> trunk/d4c1a08c89f37d249a0146ff511c82ecc5c53b8f 2025-08-14T21:26:41.1337853Z * [new tag] trunk/d556586448f3caab85673c7da0978fe31c7748f7 -> trunk/d556586448f3caab85673c7da0978fe31c7748f7 2025-08-14T21:26:41.1338082Z * [new tag] trunk/d670304001429a1a833255a918ed788d7ec4989a -> trunk/d670304001429a1a833255a918ed788d7ec4989a 2025-08-14T21:26:41.1338211Z * [new tag] trunk/d6786741a77aba200c78002646cc069b7a1799b0 -> trunk/d6786741a77aba200c78002646cc069b7a1799b0 2025-08-14T21:26:41.1338465Z * [new tag] trunk/d68c323692dedcbb74e670801e3502944fd790ff -> trunk/d68c323692dedcbb74e670801e3502944fd790ff 2025-08-14T21:26:41.1338619Z * [new tag] trunk/d8cb3db5339b45e4b745b2b883ef3ecde9843e2c -> trunk/d8cb3db5339b45e4b745b2b883ef3ecde9843e2c 2025-08-14T21:26:41.1338749Z * [new tag] trunk/da1f608ca33f3062535d0a4866d95db19e72fcbd -> trunk/da1f608ca33f3062535d0a4866d95db19e72fcbd 2025-08-14T21:26:41.1338899Z * [new tag] trunk/db0b7f1cc9bb3fe71aaf8b964a644147ae8e1c35 -> trunk/db0b7f1cc9bb3fe71aaf8b964a644147ae8e1c35 2025-08-14T21:26:41.1339278Z * [new tag] trunk/db32b60662b2f2bdcad980127d5dc4b66b02a7e4 -> trunk/db32b60662b2f2bdcad980127d5dc4b66b02a7e4 2025-08-14T21:26:41.1339658Z * [new tag] trunk/db763b17175553ba09637362eb9773a91997a7ad -> trunk/db763b17175553ba09637362eb9773a91997a7ad 2025-08-14T21:26:41.1339940Z * [new tag] trunk/db78943a1ca13a32a3d6045eb15e2b719ee13a2f -> trunk/db78943a1ca13a32a3d6045eb15e2b719ee13a2f 2025-08-14T21:26:41.1340293Z * [new tag] trunk/dc0d18e023d9b7e314ebba0f234b6cb1579dbcfd -> trunk/dc0d18e023d9b7e314ebba0f234b6cb1579dbcfd 2025-08-14T21:26:41.1340564Z * [new tag] trunk/dd21c8a578038ab2841a7ba809a06921093ac9d8 -> trunk/dd21c8a578038ab2841a7ba809a06921093ac9d8 2025-08-14T21:26:41.1340999Z * [new tag] trunk/deea71a90e05eb320c04bebfead5317746637f0d -> trunk/deea71a90e05eb320c04bebfead5317746637f0d 2025-08-14T21:26:41.1341263Z * [new tag] trunk/df55ec7d4b35f6d21691e9dd41c82f27de762948 -> trunk/df55ec7d4b35f6d21691e9dd41c82f27de762948 2025-08-14T21:26:41.1341535Z * [new tag] trunk/e1cf0d496ea85d1807c8c740f296e77bf7bdc1df -> trunk/e1cf0d496ea85d1807c8c740f296e77bf7bdc1df 2025-08-14T21:26:41.1341906Z * [new tag] trunk/e248719ac03c103767ab72034f6b9fd56855bf98 -> trunk/e248719ac03c103767ab72034f6b9fd56855bf98 2025-08-14T21:26:41.1342229Z * [new tag] trunk/e49762026070f66be41bfa6537fbcf9bfc24e558 -> trunk/e49762026070f66be41bfa6537fbcf9bfc24e558 2025-08-14T21:26:41.1342645Z * [new tag] trunk/e4de93f6a3e342bab34d3757cf90ec0ccc87e168 -> trunk/e4de93f6a3e342bab34d3757cf90ec0ccc87e168 2025-08-14T21:26:41.1342818Z * [new tag] trunk/e619c6bb90b9dedaccd3cbeed86a288993a4e33f -> trunk/e619c6bb90b9dedaccd3cbeed86a288993a4e33f 2025-08-14T21:26:41.1343175Z * [new tag] trunk/e63c2b21c186a7d2ab8a8953b8aa1535f2e96e58 -> trunk/e63c2b21c186a7d2ab8a8953b8aa1535f2e96e58 2025-08-14T21:26:41.1345131Z * [new tag] trunk/e7152ff8a6a929a0db7f3f4a72a5b6d471769cd3 -> trunk/e7152ff8a6a929a0db7f3f4a72a5b6d471769cd3 2025-08-14T21:26:41.1345299Z * [new tag] trunk/e96c7c4bb0f6aeae2ab3b6f040f7d67edbec199a -> trunk/e96c7c4bb0f6aeae2ab3b6f040f7d67edbec199a 2025-08-14T21:26:41.1345432Z * [new tag] trunk/e9eb2096a59a79e7a94c3e28a0715e040369f34c -> trunk/e9eb2096a59a79e7a94c3e28a0715e040369f34c 2025-08-14T21:26:41.1345583Z * [new tag] trunk/eac2d9d695a32dd456050f45cac35134ec3809f4 -> trunk/eac2d9d695a32dd456050f45cac35134ec3809f4 2025-08-14T21:26:41.1345713Z * [new tag] trunk/ecde76c764752540edf9ef62a97936c86d984b17 -> trunk/ecde76c764752540edf9ef62a97936c86d984b17 2025-08-14T21:26:41.1345846Z * [new tag] trunk/ecea81117b2fdc52907c97b3c32d779e07b5d55b -> trunk/ecea81117b2fdc52907c97b3c32d779e07b5d55b 2025-08-14T21:26:41.1345985Z * [new tag] trunk/edaa151d0d5a4e75fbec9843f49cc78770eb61fb -> trunk/edaa151d0d5a4e75fbec9843f49cc78770eb61fb 2025-08-14T21:26:41.1346116Z * [new tag] trunk/ee1b0412b919dfb358d5a697b3be49621497fbc2 -> trunk/ee1b0412b919dfb358d5a697b3be49621497fbc2 2025-08-14T21:26:41.1346318Z * [new tag] trunk/ee1fb43450c2e985657f95a91b68328d6f20f24e -> trunk/ee1fb43450c2e985657f95a91b68328d6f20f24e 2025-08-14T21:26:41.1346630Z * [new tag] trunk/ee89cc7a0acd69de25f98fe4ef828546db7b444c -> trunk/ee89cc7a0acd69de25f98fe4ef828546db7b444c 2025-08-14T21:26:41.1346988Z * [new tag] trunk/ee9f8ba11d664b871a9e0c7933fdc8571635b78c -> trunk/ee9f8ba11d664b871a9e0c7933fdc8571635b78c 2025-08-14T21:26:41.1347309Z * [new tag] trunk/eed9dbf70f43ee529fec78ac00ed9a4fd74c6e76 -> trunk/eed9dbf70f43ee529fec78ac00ed9a4fd74c6e76 2025-08-14T21:26:41.1347589Z * [new tag] trunk/f077c2402e4eb5b0ed562b4ee5b7a0503f26ef94 -> trunk/f077c2402e4eb5b0ed562b4ee5b7a0503f26ef94 2025-08-14T21:26:41.1348005Z * [new tag] trunk/f0980fc0bbd656d6c02d23ad97e945353b314f35 -> trunk/f0980fc0bbd656d6c02d23ad97e945353b314f35 2025-08-14T21:26:41.1348234Z * [new tag] trunk/f15ada5c6fad97a7dcbfa4673f067b6942dda640 -> trunk/f15ada5c6fad97a7dcbfa4673f067b6942dda640 2025-08-14T21:26:41.1348613Z * [new tag] trunk/f27232a2134150cb5e55d26a74d8c36c6a961ca5 -> trunk/f27232a2134150cb5e55d26a74d8c36c6a961ca5 2025-08-14T21:26:41.1348925Z * [new tag] trunk/f33ce40bc062a281e1a1f57e8c1926d0a7d155cc -> trunk/f33ce40bc062a281e1a1f57e8c1926d0a7d155cc 2025-08-14T21:26:41.1349303Z * [new tag] trunk/f341077ce4710172da20cfad916ee37159bfe9fe -> trunk/f341077ce4710172da20cfad916ee37159bfe9fe 2025-08-14T21:26:41.1349678Z * [new tag] trunk/f3a4d742ece08de4cb0e59dcc62e0093a7d0b0c7 -> trunk/f3a4d742ece08de4cb0e59dcc62e0093a7d0b0c7 2025-08-14T21:26:41.1349962Z * [new tag] trunk/f3f159ff8c4bad2edec99c68a941c628e983d04c -> trunk/f3f159ff8c4bad2edec99c68a941c628e983d04c 2025-08-14T21:26:41.1350253Z * [new tag] trunk/f60454cce8b93e5bbf67f2f3c88c8ac01ed65457 -> trunk/f60454cce8b93e5bbf67f2f3c88c8ac01ed65457 2025-08-14T21:26:41.1350599Z * [new tag] trunk/f7b2f3314cf7aede67d5fa5c75e4243208484344 -> trunk/f7b2f3314cf7aede67d5fa5c75e4243208484344 2025-08-14T21:26:41.1352281Z * [new tag] trunk/f8f0414a5983ff481a2188e0c18594150430c8c5 -> trunk/f8f0414a5983ff481a2188e0c18594150430c8c5 2025-08-14T21:26:41.1352640Z * [new tag] trunk/f95b58c2844b3444cd8446fed8570729dc4216eb -> trunk/f95b58c2844b3444cd8446fed8570729dc4216eb 2025-08-14T21:26:41.1352790Z * [new tag] trunk/f990490a23815ea6ee27e487c70ba2cf513ba43d -> trunk/f990490a23815ea6ee27e487c70ba2cf513ba43d 2025-08-14T21:26:41.1352937Z * [new tag] trunk/fb887c3bb588cfe782615e67f6c26db636b8539b -> trunk/fb887c3bb588cfe782615e67f6c26db636b8539b 2025-08-14T21:26:41.1353070Z * [new tag] trunk/fc25c68f20f772290927a7031b998b92615259cf -> trunk/fc25c68f20f772290927a7031b998b92615259cf 2025-08-14T21:26:41.1353224Z * [new tag] trunk/fc80f6859e0ccf66513a40f04b9e735e759d4ddb -> trunk/fc80f6859e0ccf66513a40f04b9e735e759d4ddb 2025-08-14T21:26:41.1353384Z * [new tag] trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb -> trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb 2025-08-14T21:26:41.1353745Z * [new tag] trunk/fe3f5fe4ea2ff6f56406dc5d954636ebb08d0a08 -> trunk/fe3f5fe4ea2ff6f56406dc5d954636ebb08d0a08 2025-08-14T21:26:41.1354029Z * [new tag] trunk/fea7e9dd37c02c334b130f6624af6163fde6b2ab -> trunk/fea7e9dd37c02c334b130f6624af6163fde6b2ab 2025-08-14T21:26:41.1354350Z * [new tag] trunk/ff0d56d03592aa03f3ced8359241d21df1783393 -> trunk/ff0d56d03592aa03f3ced8359241d21df1783393 2025-08-14T21:26:41.1354556Z * [new tag] v0.1.1 -> v0.1.1 2025-08-14T21:26:41.1354860Z * [new tag] v0.1.10 -> v0.1.10 2025-08-14T21:26:41.1355176Z * [new tag] v0.1.11 -> v0.1.11 2025-08-14T21:26:41.1355464Z * [new tag] v0.1.12 -> v0.1.12 2025-08-14T21:26:41.1355761Z * [new tag] v0.1.2 -> v0.1.2 2025-08-14T21:26:41.1355972Z * [new tag] v0.1.3 -> v0.1.3 2025-08-14T21:26:41.1356511Z * [new tag] v0.1.4 -> v0.1.4 2025-08-14T21:26:41.1356692Z * [new tag] v0.1.5 -> v0.1.5 2025-08-14T21:26:41.1357023Z * [new tag] v0.1.6 -> v0.1.6 2025-08-14T21:26:41.1357235Z * [new tag] v0.1.7 -> v0.1.7 2025-08-14T21:26:41.1357585Z * [new tag] v0.1.8 -> v0.1.8 2025-08-14T21:26:41.1357880Z * [new tag] v0.1.9 -> v0.1.9 2025-08-14T21:26:41.1359793Z * [new tag] v0.2.0 -> v0.2.0 2025-08-14T21:26:41.1360232Z * [new tag] v0.3.0 -> v0.3.0 2025-08-14T21:26:41.1360416Z * [new tag] v0.3.1 -> v0.3.1 2025-08-14T21:26:41.1360473Z * [new tag] v0.4.0 -> v0.4.0 2025-08-14T21:26:41.1360534Z * [new tag] v0.4.1 -> v0.4.1 2025-08-14T21:26:41.1360656Z * [new tag] v1.0.0 -> v1.0.0 2025-08-14T21:26:41.1360717Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-08-14T21:26:41.1360771Z * [new tag] v1.0.1 -> v1.0.1 2025-08-14T21:26:41.1360844Z * [new tag] v1.0rc0 -> v1.0rc0 2025-08-14T21:26:41.1361017Z * [new tag] v1.0rc1 -> v1.0rc1 2025-08-14T21:26:41.1361427Z * [new tag] v1.1.0 -> v1.1.0 2025-08-14T21:26:41.1361662Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-08-14T21:26:41.1362221Z * [new tag] v1.10.0 -> v1.10.0 2025-08-14T21:26:41.1362522Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-08-14T21:26:41.1362828Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-08-14T21:26:41.1363042Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-08-14T21:26:41.1363399Z * [new tag] v1.10.1 -> v1.10.1 2025-08-14T21:26:41.1363607Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-08-14T21:26:41.1363897Z * [new tag] v1.10.2 -> v1.10.2 2025-08-14T21:26:41.1364160Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-08-14T21:26:41.1364462Z * [new tag] v1.11.0 -> v1.11.0 2025-08-14T21:26:41.1364882Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-08-14T21:26:41.1365223Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-08-14T21:26:41.1367118Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-08-14T21:26:41.1367306Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-08-14T21:26:41.1367377Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-08-14T21:26:41.1367449Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-08-14T21:26:41.1367513Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-08-14T21:26:41.1367567Z * [new tag] v1.12.0 -> v1.12.0 2025-08-14T21:26:41.1367628Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-08-14T21:26:41.1367900Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-08-14T21:26:41.1368324Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-08-14T21:26:41.1368594Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-08-14T21:26:41.1368909Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-08-14T21:26:41.1369304Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-08-14T21:26:41.1369612Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-08-14T21:26:41.1369874Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-08-14T21:26:41.1370029Z * [new tag] v1.12.1 -> v1.12.1 2025-08-14T21:26:41.1370582Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-08-14T21:26:41.1370750Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-08-14T21:26:41.1371158Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-08-14T21:26:41.1371472Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-08-14T21:26:41.1371722Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-08-14T21:26:41.1372113Z * [new tag] v1.13.0 -> v1.13.0 2025-08-14T21:26:41.1372398Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-08-14T21:26:41.1374119Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-08-14T21:26:41.1374213Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-08-14T21:26:41.1374415Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-08-14T21:26:41.1374477Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-08-14T21:26:41.1374535Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-08-14T21:26:41.1374599Z * [new tag] v1.13.1 -> v1.13.1 2025-08-14T21:26:41.1374669Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-08-14T21:26:41.1374958Z * [new tag] v1.2.0 -> v1.2.0 2025-08-14T21:26:41.1375247Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-08-14T21:26:41.1375543Z * [new tag] v1.3.0 -> v1.3.0 2025-08-14T21:26:41.1375845Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-08-14T21:26:41.1376108Z * [new tag] v1.3.1 -> v1.3.1 2025-08-14T21:26:41.1376572Z * [new tag] v1.4.0 -> v1.4.0 2025-08-14T21:26:41.1377521Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-08-14T21:26:41.1377606Z * [new tag] v1.4.1 -> v1.4.1 2025-08-14T21:26:41.1378032Z * [new tag] v1.5.0 -> v1.5.0 2025-08-14T21:26:41.1378365Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-08-14T21:26:41.1378756Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-08-14T21:26:41.1379120Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-08-14T21:26:41.1379393Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-08-14T21:26:41.1379641Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-08-14T21:26:41.1380044Z * [new tag] v1.5.1 -> v1.5.1 2025-08-14T21:26:41.1381483Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-08-14T21:26:41.1381650Z * [new tag] v1.6.0 -> v1.6.0 2025-08-14T21:26:41.1381844Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-08-14T21:26:41.1381904Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-08-14T21:26:41.1381956Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-08-14T21:26:41.1382017Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-08-14T21:26:41.1382373Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-08-14T21:26:41.1382598Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-08-14T21:26:41.1382980Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-08-14T21:26:41.1383288Z * [new tag] v1.7.0 -> v1.7.0 2025-08-14T21:26:41.1383771Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-08-14T21:26:41.1384075Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-08-14T21:26:41.1384376Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-08-14T21:26:41.1384625Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-08-14T21:26:41.1385028Z * [new tag] v1.7.1 -> v1.7.1 2025-08-14T21:26:41.1385390Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-08-14T21:26:41.1385801Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-08-14T21:26:41.1386040Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-08-14T21:26:41.1386416Z * [new tag] v1.8.0 -> v1.8.0 2025-08-14T21:26:41.1386731Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-08-14T21:26:41.1387180Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-08-14T21:26:41.1387467Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-08-14T21:26:41.1387763Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-08-14T21:26:41.1389322Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-08-14T21:26:41.1389561Z * [new tag] v1.8.1 -> v1.8.1 2025-08-14T21:26:41.1389621Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-08-14T21:26:41.1389683Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-08-14T21:26:41.1389735Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-08-14T21:26:41.1389934Z * [new tag] v1.8.2 -> v1.8.2 2025-08-14T21:26:41.1390073Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-08-14T21:26:41.1390474Z * [new tag] v1.9.0 -> v1.9.0 2025-08-14T21:26:41.1390850Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-08-14T21:26:41.1391163Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-08-14T21:26:41.1391488Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-08-14T21:26:41.1391851Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-08-14T21:26:41.1392156Z * [new tag] v1.9.1 -> v1.9.1 2025-08-14T21:26:41.1392581Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-08-14T21:26:41.1392833Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-08-14T21:26:41.1393250Z * [new tag] v2.0.0 -> v2.0.0 2025-08-14T21:26:41.1393544Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-08-14T21:26:41.1393952Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-08-14T21:26:41.1394389Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-08-14T21:26:41.1394638Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-08-14T21:26:41.1395064Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-08-14T21:26:41.1395318Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-08-14T21:26:41.1395647Z * [new tag] v2.0.1 -> v2.0.1 2025-08-14T21:26:41.1397338Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-08-14T21:26:41.1397543Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-08-14T21:26:41.1397703Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-08-14T21:26:41.1397764Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-08-14T21:26:41.1397816Z * [new tag] v2.1.0 -> v2.1.0 2025-08-14T21:26:41.1397978Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-08-14T21:26:41.1398265Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-08-14T21:26:41.1398673Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-08-14T21:26:41.1399015Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-08-14T21:26:41.1399414Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-08-14T21:26:41.1399746Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-08-14T21:26:41.1400075Z * [new tag] v2.1.1 -> v2.1.1 2025-08-14T21:26:41.1400415Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-08-14T21:26:41.1400874Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-08-14T21:26:41.1401250Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-08-14T21:26:41.1401680Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-08-14T21:26:41.1401990Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-08-14T21:26:41.1402183Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-08-14T21:26:41.1402576Z * [new tag] v2.1.2 -> v2.1.2 2025-08-14T21:26:41.1402936Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-08-14T21:26:41.1403354Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-08-14T21:26:41.1403683Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-08-14T21:26:41.1405518Z * [new tag] v2.2.0 -> v2.2.0 2025-08-14T21:26:41.1405775Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-08-14T21:26:41.1405843Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-08-14T21:26:41.1405899Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-08-14T21:26:41.1405967Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-08-14T21:26:41.1406025Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-08-14T21:26:41.1406089Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-08-14T21:26:41.1406397Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-08-14T21:26:41.1406763Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-08-14T21:26:41.1407037Z * [new tag] v2.2.1 -> v2.2.1 2025-08-14T21:26:41.1407371Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-08-14T21:26:41.1407659Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-08-14T21:26:41.1407919Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-08-14T21:26:41.1408200Z * [new tag] v2.2.2 -> v2.2.2 2025-08-14T21:26:41.1408767Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-08-14T21:26:41.1409103Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-08-14T21:26:41.1409169Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-08-14T21:26:41.1409569Z * [new tag] v2.3.0 -> v2.3.0 2025-08-14T21:26:41.1409862Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-08-14T21:26:41.1410189Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-08-14T21:26:41.1410789Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-08-14T21:26:41.1410973Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-08-14T21:26:41.1411297Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-08-14T21:26:41.1413055Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-08-14T21:26:41.1413177Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-08-14T21:26:41.1413475Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-08-14T21:26:41.1413536Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-08-14T21:26:41.1413596Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-08-14T21:26:41.1413661Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-08-14T21:26:41.1413714Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-08-14T21:26:41.1414003Z * [new tag] v2.3.1 -> v2.3.1 2025-08-14T21:26:41.1414303Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-08-14T21:26:41.1414640Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-08-14T21:26:41.1415410Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-08-14T21:26:41.1415627Z * [new tag] v2.4.0 -> v2.4.0 2025-08-14T21:26:41.1416025Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-08-14T21:26:41.1416317Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-08-14T21:26:41.1417012Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-08-14T21:26:41.1417224Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-08-14T21:26:41.1417552Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-08-14T21:26:41.1417932Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-08-14T21:26:41.1418259Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-08-14T21:26:41.1418556Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-08-14T21:26:41.1418955Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-08-14T21:26:41.1419200Z * [new tag] v2.4.1 -> v2.4.1 2025-08-14T21:26:41.1421008Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-08-14T21:26:41.1421246Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-08-14T21:26:41.1421308Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-08-14T21:26:41.1421365Z * [new tag] v2.5.0 -> v2.5.0 2025-08-14T21:26:41.1421423Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-08-14T21:26:41.1421480Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-08-14T21:26:41.1421709Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-08-14T21:26:41.1422098Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-08-14T21:26:41.1422435Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-08-14T21:26:41.1422891Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-08-14T21:26:41.1423229Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-08-14T21:26:41.1423618Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-08-14T21:26:41.1423918Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-08-14T21:26:41.1424252Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-08-14T21:26:41.1424526Z * [new tag] v2.5.1 -> v2.5.1 2025-08-14T21:26:41.1424797Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-08-14T21:26:41.1425095Z * [new tag] v2.6.0 -> v2.6.0 2025-08-14T21:26:41.1425519Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-08-14T21:26:41.1426274Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-08-14T21:26:41.1426499Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-08-14T21:26:41.1426687Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-08-14T21:26:41.1427414Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-08-14T21:26:41.1427618Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-08-14T21:26:41.1429285Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-08-14T21:26:41.1429422Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-08-14T21:26:41.1429670Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-08-14T21:26:41.1429736Z * [new tag] v2.7.0 -> v2.7.0 2025-08-14T21:26:41.1429787Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-08-14T21:26:41.1429877Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-08-14T21:26:41.1430610Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-08-14T21:26:41.1430842Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-08-14T21:26:41.1431327Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-08-14T21:26:41.1431463Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-08-14T21:26:41.1431780Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-08-14T21:26:41.1432206Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-08-14T21:26:41.1432633Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-08-14T21:26:41.1432980Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-08-14T21:26:41.1433316Z * [new tag] v2.7.1 -> v2.7.1 2025-08-14T21:26:41.1433642Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-08-14T21:26:41.1433962Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-08-14T21:26:41.1434501Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-08-14T21:26:41.1434734Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-08-14T21:26:41.1434999Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-08-14T21:26:41.1435283Z * [new tag] v2.8.0 -> v2.8.0 2025-08-14T21:26:41.1435686Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-08-14T21:26:41.1436005Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-08-14T21:26:41.1437813Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-08-14T21:26:41.1438051Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-08-14T21:26:41.1438119Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-08-14T21:26:41.1438176Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-08-14T21:26:41.1438231Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-08-14T21:26:41.1438437Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-08-14T21:26:41.1438848Z * [new tag] whc_flight_1 -> whc_flight_1 2025-08-14T21:26:41.1439022Z * [new tag] whc_flight_2 -> whc_flight_2 2025-08-14T21:26:41.1439325Z * [new tag] whc_flight_4 -> whc_flight_4 2025-08-14T21:26:41.1853327Z [command]/usr/bin/git rev-parse --verify --quiet 1fc683cf17c8c673044538d10266c00f92987be2^{object} 2025-08-14T21:26:41.1879678Z 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:26:41.1881847Z ##[endgroup] 2025-08-14T21:26:41.1881990Z ##[group]Determining the checkout info 2025-08-14T21:26:41.1882091Z ##[endgroup] 2025-08-14T21:26:41.1884980Z [command]/usr/bin/git sparse-checkout disable 2025-08-14T21:26:41.1926034Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-08-14T21:26:41.1964381Z ##[group]Checking out the ref 2025-08-14T21:26:41.1964525Z [command]/usr/bin/git checkout --progress --force 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:26:41.8070067Z Note: switching to '1fc683cf17c8c673044538d10266c00f92987be2'. 2025-08-14T21:26:41.8070485Z 2025-08-14T21:26:41.8070745Z You are in 'detached HEAD' state. You can look around, make experimental 2025-08-14T21:26:41.8071371Z changes and commit them, and you can discard any commits you make in this 2025-08-14T21:26:41.8071921Z state without impacting any branches by switching back to a branch. 2025-08-14T21:26:41.8072232Z 2025-08-14T21:26:41.8072446Z If you want to create a new branch to retain commits you create, you may 2025-08-14T21:26:41.8072943Z do so (now or later) by using -c with the switch command. Example: 2025-08-14T21:26:41.8073245Z 2025-08-14T21:26:41.8073389Z git switch -c 2025-08-14T21:26:41.8073596Z 2025-08-14T21:26:41.8073736Z Or undo this operation with: 2025-08-14T21:26:41.8073930Z 2025-08-14T21:26:41.8074031Z git switch - 2025-08-14T21:26:41.8074173Z 2025-08-14T21:26:41.8074426Z Turn off this advice by setting config variable advice.detachedHead to false 2025-08-14T21:26:41.8074777Z 2025-08-14T21:26:41.8075172Z HEAD is now at 1fc683cf17c [Inductor] Allow indexing a flexible layout for extract_input_node_reduction_ranges (#160645) 2025-08-14T21:26:41.8150487Z ##[endgroup] 2025-08-14T21:26:41.8150742Z ##[group]Setting up auth for fetching submodules 2025-08-14T21:26:41.8156158Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-08-14T21:26:41.8192162Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-08-14T21:26:41.8219957Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-08-14T21:26:41.8243073Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-08-14T21:26:41.8260649Z ##[endgroup] 2025-08-14T21:26:41.8261031Z ##[group]Fetching submodules 2025-08-14T21:26:41.8262912Z [command]/usr/bin/git submodule sync --recursive 2025-08-14T21:26:41.8555808Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-08-14T21:26:41.8769241Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-08-14T21:26:41.8771920Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-08-14T21:26:41.8775949Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-08-14T21:26:41.8778841Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-08-14T21:26:41.8781569Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-08-14T21:26:41.8784333Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-08-14T21:26:41.8785971Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-08-14T21:26:41.8787450Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-08-14T21:26:41.8789329Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-08-14T21:26:41.8791093Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-08-14T21:26:41.8793324Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-08-14T21:26:41.8796938Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-08-14T21:26:41.8797462Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-08-14T21:26:41.8797843Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-08-14T21:26:41.8799383Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-08-14T21:26:41.8801128Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-08-14T21:26:41.8802618Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-08-14T21:26:41.8804396Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-08-14T21:26:41.8806040Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:26:41.8807739Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-08-14T21:26:41.8809410Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-08-14T21:26:41.8811068Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-08-14T21:26:41.8812760Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-08-14T21:26:41.8814715Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-08-14T21:26:41.8816138Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-08-14T21:26:41.8817909Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-08-14T21:26:41.8819626Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-08-14T21:26:41.8821464Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-08-14T21:26:41.8823305Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-08-14T21:26:41.8825085Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-08-14T21:26:41.8827062Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-08-14T21:26:41.8828884Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-08-14T21:26:41.8830796Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-08-14T21:26:41.8832702Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-08-14T21:26:41.8834656Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-08-14T21:26:41.8836637Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-08-14T21:26:41.8838762Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-08-14T21:26:41.8862338Z Cloning into '/home/runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-08-14T21:26:42.2529446Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-08-14T21:26:42.2530020Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/psimd'... 2025-08-14T21:26:42.2530535Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/FP16'... 2025-08-14T21:26:42.2679939Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-08-14T21:26:42.2925322Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-08-14T21:26:42.2989301Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-08-14T21:26:42.6922940Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-08-14T21:26:42.6923627Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-08-14T21:26:42.6930454Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/ideep'... 2025-08-14T21:26:42.6930656Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-08-14T21:26:42.6930894Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-08-14T21:26:42.6931104Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/gloo'... 2025-08-14T21:26:42.6931296Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-08-14T21:26:42.6931517Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-08-14T21:26:42.6931722Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-08-14T21:26:42.6931924Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-08-14T21:26:42.6932158Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-08-14T21:26:43.6152193Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-08-14T21:26:43.6157606Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-08-14T21:26:43.6157841Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/sleef'... 2025-08-14T21:26:43.6158080Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-08-14T21:26:43.6158281Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-08-14T21:26:43.6158486Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/googletest'... 2025-08-14T21:26:43.7151361Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-08-14T21:26:50.8796796Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/fmt'... 2025-08-14T21:26:50.8797484Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-08-14T21:26:50.8809502Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/kineto'... 2025-08-14T21:26:50.8810042Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-08-14T21:26:50.8810530Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-08-14T21:26:50.8810974Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-08-14T21:26:50.8811443Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/onnx'... 2025-08-14T21:26:50.8811918Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-08-14T21:26:50.8812384Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/aiter'... 2025-08-14T21:26:50.8812859Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-08-14T21:26:50.8813356Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-08-14T21:26:50.8813796Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-08-14T21:26:50.8914187Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-08-14T21:26:50.9016639Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-08-14T21:26:50.9098248Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-08-14T21:26:50.9247987Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-08-14T21:26:50.9664632Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-08-14T21:26:50.9985694Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-08-14T21:26:51.3371586Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-08-14T21:26:51.4129070Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-08-14T21:26:51.4152187Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:26:51.4179306Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-08-14T21:26:53.7983328Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-08-14T21:26:53.8137386Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-08-14T21:26:53.9633190Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-08-14T21:26:53.9968838Z Submodule path 'third_party/cpp-httplib': checked out '3af7f2c16147f3fbc6e4d717032daf505dc1652c' 2025-08-14T21:26:54.0536890Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-08-14T21:26:54.0801148Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-08-14T21:26:54.3899633Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-08-14T21:26:54.4584808Z Submodule path 'third_party/fbgemm': checked out '21c7d30c526c0f1ad873ecc632dca6cfa8a69067' 2025-08-14T21:26:54.4598930Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-08-14T21:26:54.4601748Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:26:54.4609168Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:26:54.4610510Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-08-14T21:26:54.4610944Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-08-14T21:26:54.4611375Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:26:54.4612445Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-08-14T21:26:54.4661569Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-08-14T21:26:55.5848062Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-08-14T21:26:55.5848467Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-08-14T21:26:55.5849325Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-08-14T21:26:55.5849664Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-08-14T21:26:55.6848075Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-08-14T21:26:55.9644554Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-08-14T21:26:57.8282781Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-08-14T21:26:57.9469597Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-08-14T21:26:58.0037274Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-08-14T21:26:58.3108769Z Submodule path 'third_party/fbgemm/external/cutlass': checked out 'b40777404c174b9694a870bff5c13ce6b7f656ad' 2025-08-14T21:26:58.3394653Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-08-14T21:26:58.3478383Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out 'a4337c69fe0e2552a7b7b0669178926beeed828c' 2025-08-14T21:26:58.4041655Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-08-14T21:26:58.4417152Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-08-14T21:26:58.4443726Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:26:58.4444423Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:26:58.4476828Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-08-14T21:27:00.7407502Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-08-14T21:27:00.8513393Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-08-14T21:27:01.1281689Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-08-14T21:27:01.2030569Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-08-14T21:27:01.2244177Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-08-14T21:27:01.2473120Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-08-14T21:27:01.2604753Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-08-14T21:27:01.2863353Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-08-14T21:27:01.2958440Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-08-14T21:27:01.2970388Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-08-14T21:27:01.2993389Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-08-14T21:27:08.1972562Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-08-14T21:27:08.2136999Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-08-14T21:27:08.2676251Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-08-14T21:27:08.2697035Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:27:08.2697502Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:27:08.2699279Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:27:08.2727412Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-08-14T21:27:09.0138530Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-08-14T21:27:09.3449664Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-08-14T21:27:09.3908199Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-08-14T21:27:09.3926288Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:27:09.3927417Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:27:09.3929295Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:27:09.3931590Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:27:09.3933748Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:27:09.3935890Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:27:09.3938273Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:27:09.3940254Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:27:09.3963993Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-08-14T21:27:10.4984637Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-08-14T21:27:10.4985701Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-08-14T21:27:10.4986314Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-08-14T21:27:10.4986747Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-08-14T21:27:10.4987099Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-08-14T21:27:10.4987440Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-08-14T21:27:10.5984456Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-08-14T21:27:12.9055164Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-08-14T21:27:12.9172383Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-08-14T21:27:12.9399484Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-08-14T21:27:12.9481059Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-08-14T21:27:12.9494412Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:27:12.9514360Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-08-14T21:27:13.4047728Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-08-14T21:27:13.4125420Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-08-14T21:27:13.4370602Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-08-14T21:27:13.4916291Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-08-14T21:27:13.5008868Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-08-14T21:27:13.5226327Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-08-14T21:27:13.5565132Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-08-14T21:27:13.5798691Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-08-14T21:27:13.6011888Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-08-14T21:27:13.6592285Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-08-14T21:27:13.8600987Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-08-14T21:27:13.8625056Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-08-14T21:27:13.8639487Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-08-14T21:27:14.7734753Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-08-14T21:27:14.8098141Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-08-14T21:27:14.8114583Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:27:14.8116697Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:27:14.8122710Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:27:14.8123345Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:27:14.8123885Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:27:14.8124411Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:27:14.8125261Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:27:14.8127072Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:27:14.8143079Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-08-14T21:27:15.3994690Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-08-14T21:27:15.3995096Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-08-14T21:27:15.3995420Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'... 2025-08-14T21:27:15.3995732Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2025-08-14T21:27:15.4996027Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2025-08-14T21:27:15.7512887Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'... 2025-08-14T21:27:20.4621512Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'... 2025-08-14T21:27:20.4738558Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-08-14T21:27:20.4976254Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-08-14T21:27:20.5075620Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-08-14T21:27:20.5628650Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-08-14T21:27:20.5727635Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-08-14T21:27:20.5846766Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-08-14T21:27:20.5933484Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-08-14T21:27:20.5945901Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:27:20.5946403Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:27:20.5971450Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'... 2025-08-14T21:27:21.8802688Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'... 2025-08-14T21:27:22.0180884Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-08-14T21:27:22.0483830Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-08-14T21:27:22.3003865Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-08-14T21:27:22.3086263Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa' 2025-08-14T21:27:22.4517867Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a' 2025-08-14T21:27:22.4537342Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:27:22.4539598Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest' 2025-08-14T21:27:22.4561868Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'... 2025-08-14T21:27:23.1172891Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'... 2025-08-14T21:27:23.3753745Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8' 2025-08-14T21:27:23.4148381Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081' 2025-08-14T21:27:23.4218912Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900' 2025-08-14T21:27:23.4303583Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8' 2025-08-14T21:27:23.4508282Z Submodule path 'third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-08-14T21:27:23.4669245Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67' 2025-08-14T21:27:23.4915781Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68' 2025-08-14T21:27:23.5062494Z Submodule path 'third_party/tensorpipe': checked out 'dacda0567d9f23d4bc503e1c4f84aa65f33ac38a' 2025-08-14T21:27:23.5074655Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 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'/home/runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libuv'... 2025-08-14T21:27:24.6148877Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' 2025-08-14T21:27:24.6241659Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281' 2025-08-14T21:27:24.6644613Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b' 2025-08-14T21:27:24.6810728Z Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' 2025-08-14T21:27:24.6829427Z Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:27:24.6844268Z Cloning into '/home/runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11/tools/clang'... 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Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T21:27:25.5469637Z Entering 'third_party/psimd' 2025-08-14T21:27:25.5498238Z Entering 'third_party/pthreadpool' 2025-08-14T21:27:25.5527815Z Entering 'third_party/pybind11' 2025-08-14T21:27:25.5557283Z Entering 'third_party/python-peachpy' 2025-08-14T21:27:25.5588341Z Entering 'third_party/sleef' 2025-08-14T21:27:25.5614105Z Entering 'third_party/tensorpipe' 2025-08-14T21:27:25.5641026Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:27:25.5666674Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:27:25.5696627Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:27:25.5724302Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:27:25.5750968Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:27:25.5796849Z [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" 2025-08-14T21:27:25.5967013Z Entering 'android/libs/fbjni' 2025-08-14T21:27:25.5988344Z file:/home/runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-08-14T21:27:25.6001139Z Entering 'third_party/FP16' 2025-08-14T21:27:25.6028535Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-08-14T21:27:25.6039979Z Entering 'third_party/FXdiv' 2025-08-14T21:27:25.6062040Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-08-14T21:27:25.6077868Z Entering 'third_party/NNPACK' 2025-08-14T21:27:25.6107001Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config remote.origin.url 2025-08-14T21:27:25.6117902Z Entering 'third_party/NVTX' 2025-08-14T21:27:25.6142958Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config remote.origin.url 2025-08-14T21:27:25.6151230Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T21:27:25.6171920Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config remote.origin.url 2025-08-14T21:27:25.6182559Z Entering 'third_party/XNNPACK' 2025-08-14T21:27:25.6209495Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config remote.origin.url 2025-08-14T21:27:25.6226325Z Entering 'third_party/aiter' 2025-08-14T21:27:25.6251507Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/config remote.origin.url 2025-08-14T21:27:25.6268196Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:27:25.6288600Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config remote.origin.url 2025-08-14T21:27:25.6303320Z Entering 'third_party/benchmark' 2025-08-14T21:27:25.6328382Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config remote.origin.url 2025-08-14T21:27:25.6338929Z Entering 'third_party/composable_kernel' 2025-08-14T21:27:25.6361238Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config remote.origin.url 2025-08-14T21:27:25.6376528Z Entering 'third_party/cpp-httplib' 2025-08-14T21:27:25.6408498Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config remote.origin.url 2025-08-14T21:27:25.6421266Z Entering 'third_party/cpuinfo' 2025-08-14T21:27:25.6442849Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config remote.origin.url 2025-08-14T21:27:25.6458723Z Entering 'third_party/cudnn_frontend' 2025-08-14T21:27:25.6482920Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config remote.origin.url 2025-08-14T21:27:25.6494326Z Entering 'third_party/cutlass' 2025-08-14T21:27:25.6514787Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config remote.origin.url 2025-08-14T21:27:25.6534780Z Entering 'third_party/fbgemm' 2025-08-14T21:27:25.6557436Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config remote.origin.url 2025-08-14T21:27:25.6569223Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T21:27:25.6593897Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/asmjit/config remote.origin.url 2025-08-14T21:27:25.6602374Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:27:25.6627154Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config remote.origin.url 2025-08-14T21:27:25.6640085Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:27:25.6664835Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config remote.origin.url 2025-08-14T21:27:25.6673744Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T21:27:25.6692553Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config remote.origin.url 2025-08-14T21:27:25.6705702Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T21:27:25.6730200Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config remote.origin.url 2025-08-14T21:27:25.6740381Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:27:25.6763942Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config remote.origin.url 2025-08-14T21:27:25.6774002Z Entering 'third_party/fbgemm/external/json' 2025-08-14T21:27:25.6802230Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/json/config remote.origin.url 2025-08-14T21:27:25.6815346Z Entering 'third_party/flash-attention' 2025-08-14T21:27:25.6846708Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/config remote.origin.url 2025-08-14T21:27:25.6858089Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:27:25.6881761Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/composable_kernel/config remote.origin.url 2025-08-14T21:27:25.6901386Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:27:25.6929224Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/cutlass/config remote.origin.url 2025-08-14T21:27:25.6948980Z Entering 'third_party/flatbuffers' 2025-08-14T21:27:25.6973997Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config remote.origin.url 2025-08-14T21:27:25.6986747Z Entering 'third_party/fmt' 2025-08-14T21:27:25.7012757Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fmt/config remote.origin.url 2025-08-14T21:27:25.7023965Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:27:25.7048032Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config remote.origin.url 2025-08-14T21:27:25.7058437Z Entering 'third_party/gloo' 2025-08-14T21:27:25.7082327Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/gloo/config remote.origin.url 2025-08-14T21:27:25.7093424Z Entering 'third_party/googletest' 2025-08-14T21:27:25.7115041Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/googletest/config remote.origin.url 2025-08-14T21:27:25.7126548Z Entering 'third_party/ideep' 2025-08-14T21:27:25.7151973Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/config remote.origin.url 2025-08-14T21:27:25.7162301Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T21:27:25.7190048Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config remote.origin.url 2025-08-14T21:27:25.7203139Z Entering 'third_party/ittapi' 2025-08-14T21:27:25.7226671Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config remote.origin.url 2025-08-14T21:27:25.7240000Z Entering 'third_party/kineto' 2025-08-14T21:27:25.7266644Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/config remote.origin.url 2025-08-14T21:27:25.7277900Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:27:25.7300750Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/config remote.origin.url 2025-08-14T21:27:25.7310390Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:27:25.7333490Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/DCGM/config remote.origin.url 2025-08-14T21:27:25.7345111Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:27:25.7373577Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/cpr/config remote.origin.url 2025-08-14T21:27:25.7383211Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:27:25.7409751Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/fmt/config remote.origin.url 2025-08-14T21:27:25.7419517Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:27:25.7449140Z 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Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:27:26.0839695Z Entering 'third_party/pocketfft' 2025-08-14T21:27:26.0861708Z Entering 'third_party/protobuf' 2025-08-14T21:27:26.0898189Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:27:26.0922948Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T21:27:26.0950947Z Entering 'third_party/psimd' 2025-08-14T21:27:26.0973288Z Entering 'third_party/pthreadpool' 2025-08-14T21:27:26.0998935Z Entering 'third_party/pybind11' 2025-08-14T21:27:26.1020816Z Entering 'third_party/python-peachpy' 2025-08-14T21:27:26.1048144Z Entering 'third_party/sleef' 2025-08-14T21:27:26.1068305Z Entering 'third_party/tensorpipe' 2025-08-14T21:27:26.1089746Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:27:26.1108031Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:27:26.1137565Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:27:26.1159835Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:27:26.1177979Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:27:26.1222741Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-08-14T21:27:26.1382892Z Entering 'android/libs/fbjni' 2025-08-14T21:27:26.1404616Z Entering 'third_party/FP16' 2025-08-14T21:27:26.1426756Z Entering 'third_party/FXdiv' 2025-08-14T21:27:26.1447919Z Entering 'third_party/NNPACK' 2025-08-14T21:27:26.1468581Z Entering 'third_party/NVTX' 2025-08-14T21:27:26.1490034Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T21:27:26.1511276Z Entering 'third_party/XNNPACK' 2025-08-14T21:27:26.1544659Z Entering 'third_party/aiter' 2025-08-14T21:27:26.1569924Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:27:26.1599371Z Entering 'third_party/benchmark' 2025-08-14T21:27:26.1626600Z Entering 'third_party/composable_kernel' 2025-08-14T21:27:26.1664132Z Entering 'third_party/cpp-httplib' 2025-08-14T21:27:26.1691719Z Entering 'third_party/cpuinfo' 2025-08-14T21:27:26.1716518Z Entering 'third_party/cudnn_frontend' 2025-08-14T21:27:26.1742399Z Entering 'third_party/cutlass' 2025-08-14T21:27:26.1769454Z Entering 'third_party/fbgemm' 2025-08-14T21:27:26.1792216Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T21:27:26.1818470Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:27:26.1850058Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:27:26.1871140Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T21:27:26.1899614Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T21:27:26.1920780Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:27:26.1947964Z Entering 'third_party/fbgemm/external/json' 2025-08-14T21:27:26.1980434Z Entering 'third_party/flash-attention' 2025-08-14T21:27:26.2000972Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:27:26.2026376Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:27:26.2067363Z Entering 'third_party/flatbuffers' 2025-08-14T21:27:26.2093833Z Entering 'third_party/fmt' 2025-08-14T21:27:26.2130452Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:27:26.2158812Z Entering 'third_party/gloo' 2025-08-14T21:27:26.2183606Z Entering 'third_party/googletest' 2025-08-14T21:27:26.2207215Z Entering 'third_party/ideep' 2025-08-14T21:27:26.2239545Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T21:27:26.2267710Z Entering 'third_party/ittapi' 2025-08-14T21:27:26.2292192Z Entering 'third_party/kineto' 2025-08-14T21:27:26.2317782Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:27:26.2340681Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:27:26.2369673Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:27:26.2397132Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:27:26.2421208Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:27:26.2441763Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:27:26.2470173Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:27:26.2497604Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:27:26.2517375Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:27:26.2539571Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:27:26.2569935Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:27:26.2593549Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:27:26.2620263Z Entering 'third_party/kleidiai' 2025-08-14T21:27:26.2646735Z Entering 'third_party/mimalloc' 2025-08-14T21:27:26.2669821Z Entering 'third_party/nlohmann' 2025-08-14T21:27:26.2692385Z Entering 'third_party/onnx' 2025-08-14T21:27:26.2721378Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T21:27:26.2752647Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T21:27:26.2787545Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:27:26.2810452Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:27:26.2831505Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:27:26.2851698Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:27:26.2885749Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:27:26.2909506Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:27:26.2936348Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:27:26.2956153Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:27:26.2979942Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:27:26.3005207Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:27:26.3041643Z Entering 'third_party/pocketfft' 2025-08-14T21:27:26.3061182Z Entering 'third_party/protobuf' 2025-08-14T21:27:26.3091082Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:27:26.3110068Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T21:27:26.3131000Z Entering 'third_party/psimd' 2025-08-14T21:27:26.3152957Z Entering 'third_party/pthreadpool' 2025-08-14T21:27:26.3179650Z Entering 'third_party/pybind11' 2025-08-14T21:27:26.3204695Z Entering 'third_party/python-peachpy' 2025-08-14T21:27:26.3231117Z Entering 'third_party/sleef' 2025-08-14T21:27:26.3253536Z Entering 'third_party/tensorpipe' 2025-08-14T21:27:26.3282404Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:27:26.3304062Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:27:26.3333755Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:27:26.3351047Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:27:26.3377129Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:27:26.3416034Z ##[endgroup] 2025-08-14T21:27:26.3442599Z [command]/usr/bin/git log -1 --format=%H 2025-08-14T21:27:26.3464375Z 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:27:26.3610289Z Prepare all required actions 2025-08-14T21:27:26.3610587Z Getting action download info 2025-08-14T21:27:26.5462352Z ##[group]Run ./.github/actions/setup-rocm 2025-08-14T21:27:26.5462500Z env: 2025-08-14T21:27:26.5462650Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:26.5462771Z ##[endgroup] 2025-08-14T21:27:26.5480691Z ##[group]Run dpkg -l | grep -E " rocm" 2025-08-14T21:27:26.5480826Z dpkg -l | grep -E " rocm" 2025-08-14T21:27:26.5486006Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:26.5486139Z env: 2025-08-14T21:27:26.5486221Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:26.5486313Z ##[endgroup] 2025-08-14T21:27:26.5546897Z ii rocm-cmake 0.14.0.60401-83~22.04 amd64 rocm-cmake built using CMake 2025-08-14T21:27:26.5547411Z ii rocm-core 6.4.1.60401-83~22.04 amd64 ROCm Runtime software stack 2025-08-14T21:27:26.5547834Z ii rocm-dbgapi 0.77.2.60401-83~22.04 amd64 Library to provide AMD GPU debugger API 2025-08-14T21:27:26.5548153Z ii rocm-debug-agent 2.0.4.60401-83~22.04 amd64 Radeon Open Compute Debug Agent (ROCdebug-agent) 2025-08-14T21:27:26.5548486Z ii rocm-dev 6.4.1.60401-83~22.04 amd64 Radeon Open Compute (ROCm) Runtime software stack 2025-08-14T21:27:26.5548902Z ii rocm-device-libs 1.0.0.60401-83~22.04 amd64 Radeon Open Compute - device libraries 2025-08-14T21:27:26.5549167Z ii rocm-gdb 15.2.60401-83~22.04 amd64 ROCgdb 2025-08-14T21:27:26.5549422Z ii rocm-llvm 19.0.0.25184.60401-83~22.04 amd64 ROCm core compiler 2025-08-14T21:27:26.5549683Z ii rocm-opencl 2.0.0.60401-83~22.04 amd64 clr built using CMake 2025-08-14T21:27:26.5549967Z ii rocm-opencl-dev 2.0.0.60401-83~22.04 amd64 clr built using CMake 2025-08-14T21:27:26.5550240Z ii rocm-smi-lib 7.5.0.60401-83~22.04 amd64 AMD System Management libraries 2025-08-14T21:27:26.5550532Z ii rocm-utils 6.4.1.60401-83~22.04 amd64 Radeon Open Compute (ROCm) Runtime software stack 2025-08-14T21:27:26.5550833Z ii rocminfo 1.0.0.60401-83~22.04 amd64 Radeon Open Compute (ROCm) Runtime rocminfo tool 2025-08-14T21:27:26.5568569Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T21:27:26.5568803Z # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T21:27:26.5568957Z # shellcheck disable=SC2046 2025-08-14T21:27:26.5569083Z docker stop $(docker ps -q) || true 2025-08-14T21:27:26.5569218Z # Prune all stopped containers. 2025-08-14T21:27:26.5569347Z docker container prune -f 2025-08-14T21:27:26.5576897Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:26.5577045Z env: 2025-08-14T21:27:26.5577129Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:26.5577345Z ##[endgroup] 2025-08-14T21:27:26.5815448Z docker: 'docker stop' requires at least 1 argument 2025-08-14T21:27:26.5815759Z 2025-08-14T21:27:26.5815948Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-08-14T21:27:26.5816216Z 2025-08-14T21:27:26.5816372Z See 'docker stop --help' for more information 2025-08-14T21:27:26.5923583Z Total reclaimed space: 0B 2025-08-14T21:27:26.5948533Z ##[group]Run cat /etc/os-release || true 2025-08-14T21:27:26.5948837Z cat /etc/os-release || true 2025-08-14T21:27:26.5949060Z cat /etc/apt/sources.list.d/rocm.list || true 2025-08-14T21:27:26.5949299Z cat /opt/rocm/.info/version || true 2025-08-14T21:27:26.5949489Z whoami 2025-08-14T21:27:26.5956802Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:26.5957046Z env: 2025-08-14T21:27:26.5957189Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:26.5957352Z ##[endgroup] 2025-08-14T21:27:26.5988136Z PRETTY_NAME="Ubuntu 22.04.5 LTS" 2025-08-14T21:27:26.5988289Z NAME="Ubuntu" 2025-08-14T21:27:26.5988386Z VERSION_ID="22.04" 2025-08-14T21:27:26.5988495Z VERSION="22.04.5 LTS (Jammy Jellyfish)" 2025-08-14T21:27:26.5988625Z VERSION_CODENAME=jammy 2025-08-14T21:27:26.5988727Z ID=ubuntu 2025-08-14T21:27:26.5988809Z ID_LIKE=debian 2025-08-14T21:27:26.5988930Z HOME_URL="https://www.ubuntu.com/" 2025-08-14T21:27:26.5989061Z SUPPORT_URL="https://help.ubuntu.com/" 2025-08-14T21:27:26.5989220Z BUG_REPORT_URL="https://bugs.launchpad.net/ubuntu/" 2025-08-14T21:27:26.5989432Z PRIVACY_POLICY_URL="https://www.ubuntu.com/legal/terms-and-policies/privacy-policy" 2025-08-14T21:27:26.5992031Z UBUNTU_CODENAME=jammy 2025-08-14T21:27:26.5992955Z deb [arch=amd64 signed-by=/etc/apt/keyrings/rocm.gpg] https://repo.radeon.com/rocm/apt/6.4.1 jammy main 2025-08-14T21:27:26.5998347Z 6.4.1-83 2025-08-14T21:27:26.6006760Z runner 2025-08-14T21:27:26.6021509Z ##[group]Run dpkg -l | grep -E " amdgpu" 2025-08-14T21:27:26.6021713Z dpkg -l | grep -E " amdgpu" 2025-08-14T21:27:26.6026884Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:26.6027055Z env: 2025-08-14T21:27:26.6027150Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:26.6027264Z ##[endgroup] 2025-08-14T21:27:26.6084134Z ii amdgpu-core 1:6.4.60401-2164967.22.04 all Core meta package for unified amdgpu driver. 2025-08-14T21:27:26.6084413Z ii amdgpu-install 6.4.60401-2164967.22.04 all AMDGPU driver repository and installer 2025-08-14T21:27:26.6099559Z ##[group]Run rocm-smi 2025-08-14T21:27:26.6099663Z rocm-smi 2025-08-14T21:27:26.6103223Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:26.6103360Z env: 2025-08-14T21:27:26.6103441Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:26.6103550Z ##[endgroup] 2025-08-14T21:27:26.6555992Z 2025-08-14T21:27:26.6556101Z 2025-08-14T21:27:26.6556620Z ============================================ ROCm System Management Interface ============================================ 2025-08-14T21:27:26.6557177Z ====================================================== Concise Info ====================================================== 2025-08-14T21:27:26.6557764Z Device Node IDs Temp Power Partitions SCLK MCLK Fan Perf PwrCap VRAM% GPU% 2025-08-14T21:27:26.6558861Z  (DID, GUID) (Junction) (Socket) (Mem, Compute, ID)  2025-08-14T21:27:26.6559361Z ========================================================================================================================== 2025-08-14T21:27:26.6560264Z 0 8 0x74b9, 27976 40.0°C 135.0W NPS1, SPX, 0 132Mhz 900Mhz 0% auto 1000.0W 0% 0% 2025-08-14T21:27:26.6560938Z ========================================================================================================================== 2025-08-14T21:27:26.6561356Z ================================================== End of ROCm SMI Log =================================================== 2025-08-14T21:27:26.6619150Z ##[group]Run rocminfo 2025-08-14T21:27:26.6619249Z rocminfo 2025-08-14T21:27:26.6623183Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:26.6623318Z env: 2025-08-14T21:27:26.6623400Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:26.6625348Z ##[endgroup] 2025-08-14T21:27:26.7302571Z ROCk module version 6.12.12 is loaded 2025-08-14T21:27:26.7302762Z ===================== 2025-08-14T21:27:26.7302879Z HSA System Attributes 2025-08-14T21:27:26.7302973Z ===================== 2025-08-14T21:27:26.7303064Z Runtime Version: 1.15 2025-08-14T21:27:26.7303168Z Runtime Ext Version: 1.7 2025-08-14T21:27:26.7307072Z System Timestamp Freq.: 1000.000000MHz 2025-08-14T21:27:26.7307269Z Sig. Max Wait Duration: 18446744073709551615 (0xFFFFFFFFFFFFFFFF) (timestamp count) 2025-08-14T21:27:26.7307462Z Machine Model: LARGE 2025-08-14T21:27:26.7307623Z System Endianness: LITTLE 2025-08-14T21:27:26.7307761Z Mwaitx: DISABLED 2025-08-14T21:27:26.7307869Z XNACK enabled: NO 2025-08-14T21:27:26.7307994Z DMAbuf Support: YES 2025-08-14T21:27:26.7308096Z VMM Support: YES 2025-08-14T21:27:26.7308160Z 2025-08-14T21:27:26.7308193Z ========== 2025-08-14T21:27:26.7308313Z HSA Agents 2025-08-14T21:27:26.7308403Z ========== 2025-08-14T21:27:26.7308484Z ******* 2025-08-14T21:27:26.7308574Z Agent 1 2025-08-14T21:27:26.7308661Z ******* 2025-08-14T21:27:26.7308772Z Name: AMD EPYC 9575F 64-Core Processor 2025-08-14T21:27:26.7308945Z Uuid: CPU-XX 2025-08-14T21:27:26.7309095Z Marketing Name: AMD EPYC 9575F 64-Core Processor 2025-08-14T21:27:26.7309250Z Vendor Name: CPU 2025-08-14T21:27:26.7309395Z Feature: None specified 2025-08-14T21:27:26.7309540Z Profile: FULL_PROFILE 2025-08-14T21:27:26.7309683Z Float Round Mode: NEAR 2025-08-14T21:27:26.7309830Z Max Queue Number: 0(0x0) 2025-08-14T21:27:26.7309974Z Queue Min Size: 0(0x0) 2025-08-14T21:27:26.7310113Z Queue Max Size: 0(0x0) 2025-08-14T21:27:26.7310258Z Queue Type: MULTI 2025-08-14T21:27:26.7310390Z Node: 0 2025-08-14T21:27:26.7310534Z Device Type: CPU 2025-08-14T21:27:26.7310660Z Cache Info: 2025-08-14T21:27:26.7310779Z L1: 65536(0x10000) KB 2025-08-14T21:27:26.7310918Z Chip ID: 0(0x0) 2025-08-14T21:27:26.7311060Z ASIC Revision: 0(0x0) 2025-08-14T21:27:26.7311208Z Cacheline Size: 64(0x40) 2025-08-14T21:27:26.7311356Z Max Clock Freq. (MHz): 0 2025-08-14T21:27:26.7311498Z BDFID: 0 2025-08-14T21:27:26.7311638Z Internal Node ID: 0 2025-08-14T21:27:26.7311788Z Compute Unit: 80 2025-08-14T21:27:26.7311929Z SIMDs per CU: 0 2025-08-14T21:27:26.7312068Z Shader Engines: 0 2025-08-14T21:27:26.7312218Z Shader Arrs. per Eng.: 0 2025-08-14T21:27:26.7312365Z WatchPts on Addr. Ranges:1 2025-08-14T21:27:26.7312499Z Memory Properties: 2025-08-14T21:27:26.7312652Z Features: None 2025-08-14T21:27:26.7312750Z Pool Info: 2025-08-14T21:27:26.7312843Z Pool 1 2025-08-14T21:27:26.7312967Z Segment: GLOBAL; FLAGS: FINE GRAINED 2025-08-14T21:27:26.7313118Z Size: 660245920(0x275a8da0) KB 2025-08-14T21:27:26.7313260Z Allocatable: TRUE 2025-08-14T21:27:26.7313407Z Alloc Granule: 4KB 2025-08-14T21:27:26.7313562Z Alloc Recommended Granule:4KB 2025-08-14T21:27:26.7313715Z Alloc Alignment: 4KB 2025-08-14T21:27:26.7315933Z Accessible by all: TRUE 2025-08-14T21:27:26.7316089Z Pool 2 2025-08-14T21:27:26.7316220Z Segment: GLOBAL; FLAGS: EXTENDED FINE GRAINED 2025-08-14T21:27:26.7316377Z Size: 660245920(0x275a8da0) KB 2025-08-14T21:27:26.7316643Z Allocatable: TRUE 2025-08-14T21:27:26.7316786Z Alloc Granule: 4KB 2025-08-14T21:27:26.7316936Z Alloc Recommended Granule:4KB 2025-08-14T21:27:26.7317087Z Alloc Alignment: 4KB 2025-08-14T21:27:26.7317232Z Accessible by all: TRUE 2025-08-14T21:27:26.7317358Z Pool 3 2025-08-14T21:27:26.7317477Z Segment: GLOBAL; FLAGS: KERNARG, FINE GRAINED 2025-08-14T21:27:26.7317617Z Size: 660245920(0x275a8da0) KB 2025-08-14T21:27:26.7317756Z Allocatable: TRUE 2025-08-14T21:27:26.7317897Z Alloc Granule: 4KB 2025-08-14T21:27:26.7318047Z Alloc Recommended Granule:4KB 2025-08-14T21:27:26.7318196Z Alloc Alignment: 4KB 2025-08-14T21:27:26.7318343Z Accessible by all: TRUE 2025-08-14T21:27:26.7318468Z Pool 4 2025-08-14T21:27:26.7318582Z Segment: GLOBAL; FLAGS: COARSE GRAINED 2025-08-14T21:27:26.7318718Z Size: 660245920(0x275a8da0) KB 2025-08-14T21:27:26.7318853Z Allocatable: TRUE 2025-08-14T21:27:26.7318994Z Alloc Granule: 4KB 2025-08-14T21:27:26.7319149Z Alloc Recommended Granule:4KB 2025-08-14T21:27:26.7319298Z Alloc Alignment: 4KB 2025-08-14T21:27:26.7319443Z Accessible by all: TRUE 2025-08-14T21:27:26.7319570Z ISA Info: 2025-08-14T21:27:26.7319664Z ******* 2025-08-14T21:27:26.7319753Z Agent 2 2025-08-14T21:27:26.7319839Z ******* 2025-08-14T21:27:26.7319944Z Name: AMD EPYC 9575F 64-Core Processor 2025-08-14T21:27:26.7321545Z Uuid: CPU-XX 2025-08-14T21:27:26.7321691Z Marketing Name: AMD EPYC 9575F 64-Core Processor 2025-08-14T21:27:26.7321837Z Vendor Name: CPU 2025-08-14T21:27:26.7321978Z Feature: None specified 2025-08-14T21:27:26.7322115Z Profile: FULL_PROFILE 2025-08-14T21:27:26.7322260Z Float Round Mode: NEAR 2025-08-14T21:27:26.7322401Z Max Queue Number: 0(0x0) 2025-08-14T21:27:26.7322538Z Queue Min Size: 0(0x0) 2025-08-14T21:27:26.7322726Z Queue Max Size: 0(0x0) 2025-08-14T21:27:26.7322860Z Queue Type: MULTI 2025-08-14T21:27:26.7322989Z Node: 1 2025-08-14T21:27:26.7323120Z Device Type: CPU 2025-08-14T21:27:26.7324344Z Cache Info: 2025-08-14T21:27:26.7324450Z L1: 65536(0x10000) KB 2025-08-14T21:27:26.7324575Z Chip ID: 0(0x0) 2025-08-14T21:27:26.7324710Z ASIC Revision: 0(0x0) 2025-08-14T21:27:26.7324896Z Cacheline Size: 64(0x40) 2025-08-14T21:27:26.7325039Z Max Clock Freq. (MHz): 0 2025-08-14T21:27:26.7325171Z BDFID: 0 2025-08-14T21:27:26.7325308Z Internal Node ID: 1 2025-08-14T21:27:26.7325447Z Compute Unit: 80 2025-08-14T21:27:26.7325580Z SIMDs per CU: 0 2025-08-14T21:27:26.7325718Z Shader Engines: 0 2025-08-14T21:27:26.7325859Z Shader Arrs. per Eng.: 0 2025-08-14T21:27:26.7327181Z WatchPts on Addr. Ranges:1 2025-08-14T21:27:26.7327317Z Memory Properties: 2025-08-14T21:27:26.7327416Z Features: None 2025-08-14T21:27:26.7327514Z Pool Info: 2025-08-14T21:27:26.7327606Z Pool 1 2025-08-14T21:27:26.7327731Z Segment: GLOBAL; FLAGS: FINE GRAINED 2025-08-14T21:27:26.7327871Z Size: 656328588(0x271ec78c) KB 2025-08-14T21:27:26.7328007Z Allocatable: TRUE 2025-08-14T21:27:26.7328154Z Alloc Granule: 4KB 2025-08-14T21:27:26.7328303Z Alloc Recommended Granule:4KB 2025-08-14T21:27:26.7328453Z Alloc Alignment: 4KB 2025-08-14T21:27:26.7328599Z Accessible by all: TRUE 2025-08-14T21:27:26.7328725Z Pool 2 2025-08-14T21:27:26.7329863Z Segment: GLOBAL; FLAGS: EXTENDED FINE GRAINED 2025-08-14T21:27:26.7330002Z Size: 656328588(0x271ec78c) KB 2025-08-14T21:27:26.7330136Z Allocatable: TRUE 2025-08-14T21:27:26.7330280Z Alloc Granule: 4KB 2025-08-14T21:27:26.7330429Z Alloc Recommended Granule:4KB 2025-08-14T21:27:26.7330577Z Alloc Alignment: 4KB 2025-08-14T21:27:26.7330723Z Accessible by all: TRUE 2025-08-14T21:27:26.7330848Z Pool 3 2025-08-14T21:27:26.7330963Z Segment: GLOBAL; FLAGS: KERNARG, FINE GRAINED 2025-08-14T21:27:26.7331098Z Size: 656328588(0x271ec78c) KB 2025-08-14T21:27:26.7331231Z Allocatable: TRUE 2025-08-14T21:27:26.7331375Z Alloc Granule: 4KB 2025-08-14T21:27:26.7332514Z Alloc Recommended Granule:4KB 2025-08-14T21:27:26.7332670Z Alloc Alignment: 4KB 2025-08-14T21:27:26.7332816Z Accessible by all: TRUE 2025-08-14T21:27:26.7332942Z Pool 4 2025-08-14T21:27:26.7333057Z Segment: GLOBAL; FLAGS: COARSE GRAINED 2025-08-14T21:27:26.7333237Z Size: 656328588(0x271ec78c) KB 2025-08-14T21:27:26.7333369Z Allocatable: TRUE 2025-08-14T21:27:26.7333510Z Alloc Granule: 4KB 2025-08-14T21:27:26.7333657Z Alloc Recommended Granule:4KB 2025-08-14T21:27:26.7333807Z Alloc Alignment: 4KB 2025-08-14T21:27:26.7333951Z Accessible by all: TRUE 2025-08-14T21:27:26.7334077Z ISA Info: 2025-08-14T21:27:26.7334169Z ******* 2025-08-14T21:27:26.7335271Z Agent 3 2025-08-14T21:27:26.7335359Z ******* 2025-08-14T21:27:26.7335507Z Name: gfx942 2025-08-14T21:27:26.7335643Z Uuid: GPU-d963ed912b86c72a 2025-08-14T21:27:26.7335787Z Marketing Name: AMD Instinct Mi325X VF 2025-08-14T21:27:26.7335933Z Vendor Name: AMD 2025-08-14T21:27:26.7336072Z Feature: KERNEL_DISPATCH 2025-08-14T21:27:26.7336209Z Profile: BASE_PROFILE 2025-08-14T21:27:26.7336350Z Float Round Mode: NEAR 2025-08-14T21:27:26.7336661Z Max Queue Number: 128(0x80) 2025-08-14T21:27:26.7336800Z Queue Min Size: 64(0x40) 2025-08-14T21:27:26.7336937Z Queue Max Size: 131072(0x20000) 2025-08-14T21:27:26.7338090Z Queue Type: MULTI 2025-08-14T21:27:26.7338227Z Node: 2 2025-08-14T21:27:26.7338358Z Device Type: GPU 2025-08-14T21:27:26.7338481Z Cache Info: 2025-08-14T21:27:26.7338587Z L1: 32(0x20) KB 2025-08-14T21:27:26.7338707Z L2: 4096(0x1000) KB 2025-08-14T21:27:26.7338826Z L3: 262144(0x40000) KB 2025-08-14T21:27:26.7338948Z Chip ID: 29881(0x74b9) 2025-08-14T21:27:26.7339082Z ASIC Revision: 1(0x1) 2025-08-14T21:27:26.7339221Z Cacheline Size: 128(0x80) 2025-08-14T21:27:26.7339362Z Max Clock Freq. (MHz): 2100 2025-08-14T21:27:26.7339495Z BDFID: 35584 2025-08-14T21:27:26.7340662Z Internal Node ID: 2 2025-08-14T21:27:26.7340806Z Compute Unit: 304 2025-08-14T21:27:26.7340943Z SIMDs per CU: 4 2025-08-14T21:27:26.7341086Z Shader Engines: 32 2025-08-14T21:27:26.7341229Z Shader Arrs. per Eng.: 1 2025-08-14T21:27:26.7341374Z WatchPts on Addr. Ranges:4 2025-08-14T21:27:26.7341521Z Coherent Host Access: FALSE 2025-08-14T21:27:26.7341650Z Memory Properties: 2025-08-14T21:27:26.7341756Z Features: KERNEL_DISPATCH 2025-08-14T21:27:26.7341887Z Fast F16 Operation: TRUE 2025-08-14T21:27:26.7342030Z Wavefront Size: 64(0x40) 2025-08-14T21:27:26.7342174Z Workgroup Max Size: 1024(0x400) 2025-08-14T21:27:26.7342307Z Workgroup Max Size per Dimension: 2025-08-14T21:27:26.7343428Z x 1024(0x400) 2025-08-14T21:27:26.7343549Z y 1024(0x400) 2025-08-14T21:27:26.7343728Z z 1024(0x400) 2025-08-14T21:27:26.7343856Z Max Waves Per CU: 32(0x20) 2025-08-14T21:27:26.7343999Z Max Work-item Per CU: 2048(0x800) 2025-08-14T21:27:26.7344142Z Grid Max Size: 4294967295(0xffffffff) 2025-08-14T21:27:26.7344266Z Grid Max Size per Dimension: 2025-08-14T21:27:26.7344371Z x 4294967295(0xffffffff) 2025-08-14T21:27:26.7344488Z y 4294967295(0xffffffff) 2025-08-14T21:27:26.7344606Z z 4294967295(0xffffffff) 2025-08-14T21:27:26.7344740Z Max fbarriers/Workgrp: 32 2025-08-14T21:27:26.7348561Z Packet Processor uCode:: 177 2025-08-14T21:27:26.7348723Z SDMA engine uCode:: 24 2025-08-14T21:27:26.7350449Z IOMMU Support:: None 2025-08-14T21:27:26.7350582Z Pool Info: 2025-08-14T21:27:26.7350681Z Pool 1 2025-08-14T21:27:26.7350804Z Segment: GLOBAL; FLAGS: COARSE GRAINED 2025-08-14T21:27:26.7350947Z Size: 268107776(0xffb0000) KB 2025-08-14T21:27:26.7351087Z Allocatable: TRUE 2025-08-14T21:27:26.7351231Z Alloc Granule: 4KB 2025-08-14T21:27:26.7351383Z Alloc Recommended Granule:2048KB 2025-08-14T21:27:26.7351533Z Alloc Alignment: 4KB 2025-08-14T21:27:26.7351685Z Accessible by all: FALSE 2025-08-14T21:27:26.7351819Z Pool 2 2025-08-14T21:27:26.7352005Z Segment: GLOBAL; FLAGS: EXTENDED FINE GRAINED 2025-08-14T21:27:26.7353592Z Size: 268107776(0xffb0000) KB 2025-08-14T21:27:26.7353738Z Allocatable: TRUE 2025-08-14T21:27:26.7353883Z Alloc Granule: 4KB 2025-08-14T21:27:26.7354040Z Alloc Recommended Granule:2048KB 2025-08-14T21:27:26.7354192Z Alloc Alignment: 4KB 2025-08-14T21:27:26.7354355Z Accessible by all: FALSE 2025-08-14T21:27:26.7354482Z Pool 3 2025-08-14T21:27:26.7354598Z Segment: GLOBAL; FLAGS: FINE GRAINED 2025-08-14T21:27:26.7354734Z Size: 268107776(0xffb0000) KB 2025-08-14T21:27:26.7354873Z Allocatable: TRUE 2025-08-14T21:27:26.7355020Z Alloc Granule: 4KB 2025-08-14T21:27:26.7356325Z Alloc Recommended Granule:2048KB 2025-08-14T21:27:26.7356610Z Alloc Alignment: 4KB 2025-08-14T21:27:26.7356764Z Accessible by all: FALSE 2025-08-14T21:27:26.7356890Z Pool 4 2025-08-14T21:27:26.7357002Z Segment: GROUP 2025-08-14T21:27:26.7357139Z Size: 64(0x40) KB 2025-08-14T21:27:26.7357272Z Allocatable: FALSE 2025-08-14T21:27:26.7357413Z Alloc Granule: 0KB 2025-08-14T21:27:26.7357562Z Alloc Recommended Granule:0KB 2025-08-14T21:27:26.7357715Z Alloc Alignment: 0KB 2025-08-14T21:27:26.7357861Z Accessible by all: FALSE 2025-08-14T21:27:26.7357987Z ISA Info: 2025-08-14T21:27:26.7358147Z ISA 1 2025-08-14T21:27:26.7358273Z Name: amdgcn-amd-amdhsa--gfx942:sramecc+:xnack- 2025-08-14T21:27:26.7358428Z Machine Models: HSA_MACHINE_MODEL_LARGE 2025-08-14T21:27:26.7358577Z Profiles: HSA_PROFILE_BASE 2025-08-14T21:27:26.7359729Z Default Rounding Mode: NEAR 2025-08-14T21:27:26.7359881Z Default Rounding Mode: NEAR 2025-08-14T21:27:26.7360020Z Fast f16: TRUE 2025-08-14T21:27:26.7360160Z Workgroup Max Size: 1024(0x400) 2025-08-14T21:27:26.7360340Z Workgroup Max Size per Dimension: 2025-08-14T21:27:26.7360463Z x 1024(0x400) 2025-08-14T21:27:26.7360672Z y 1024(0x400) 2025-08-14T21:27:26.7360793Z z 1024(0x400) 2025-08-14T21:27:26.7360921Z Grid Max Size: 4294967295(0xffffffff) 2025-08-14T21:27:26.7361049Z Grid Max Size per Dimension: 2025-08-14T21:27:26.7361159Z x 4294967295(0xffffffff) 2025-08-14T21:27:26.7361278Z y 4294967295(0xffffffff) 2025-08-14T21:27:26.7362345Z z 4294967295(0xffffffff) 2025-08-14T21:27:26.7362480Z FBarrier Max Size: 32 2025-08-14T21:27:26.7362604Z ISA 2 2025-08-14T21:27:26.7362739Z Name: amdgcn-amd-amdhsa--gfx9-4-generic:sramecc+:xnack- 2025-08-14T21:27:26.7362902Z Machine Models: HSA_MACHINE_MODEL_LARGE 2025-08-14T21:27:26.7363051Z Profiles: HSA_PROFILE_BASE 2025-08-14T21:27:26.7363197Z Default Rounding Mode: NEAR 2025-08-14T21:27:26.7363349Z Default Rounding Mode: NEAR 2025-08-14T21:27:26.7363488Z Fast f16: TRUE 2025-08-14T21:27:26.7363627Z Workgroup Max Size: 1024(0x400) 2025-08-14T21:27:26.7363760Z Workgroup Max Size per Dimension: 2025-08-14T21:27:26.7363874Z x 1024(0x400) 2025-08-14T21:27:26.7367761Z y 1024(0x400) 2025-08-14T21:27:26.7367899Z z 1024(0x400) 2025-08-14T21:27:26.7368036Z Grid Max Size: 4294967295(0xffffffff) 2025-08-14T21:27:26.7368164Z Grid Max Size per Dimension: 2025-08-14T21:27:26.7368278Z x 4294967295(0xffffffff) 2025-08-14T21:27:26.7368397Z y 4294967295(0xffffffff) 2025-08-14T21:27:26.7368516Z z 4294967295(0xffffffff) 2025-08-14T21:27:26.7368648Z FBarrier Max Size: 32 2025-08-14T21:27:26.7368774Z *** Done *** 2025-08-14T21:27:26.7382787Z ##[group]Run ngpu=$(rocminfo | grep -c -E 'Name:.*\sgfx') 2025-08-14T21:27:26.7382960Z ngpu=$(rocminfo | grep -c -E 'Name:.*\sgfx') 2025-08-14T21:27:26.7383224Z 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" 2025-08-14T21:27:26.7383474Z if [[ $ngpu -eq 0 ]]; then 2025-08-14T21:27:26.7383615Z  echo "Error: Failed to detect any GPUs on the runner" 2025-08-14T21:27:26.7383751Z  echo "$msg" 2025-08-14T21:27:26.7383842Z  exit 1 2025-08-14T21:27:26.7383925Z fi 2025-08-14T21:27:26.7388078Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:26.7388269Z env: 2025-08-14T21:27:26.7389912Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:26.7390015Z ##[endgroup] 2025-08-14T21:27:26.8156870Z ##[group]Run pytorch/pytorch/.github/actions/diskspace-cleanup@main 2025-08-14T21:27:26.8157036Z with: 2025-08-14T21:27:26.8157119Z diskspace-cutoff: 70 2025-08-14T21:27:26.8157204Z env: 2025-08-14T21:27:26.8157283Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:26.8157376Z ##[endgroup] 2025-08-14T21:27:26.8179280Z ##[group]Run set -ex 2025-08-14T21:27:26.8179413Z set -ex 2025-08-14T21:27:26.8181913Z diskspace_cutoff=70 2025-08-14T21:27:26.8182064Z docker_root_dir=$(docker info -f '{{.DockerRootDir}}') 2025-08-14T21:27:26.8182320Z if [ ! -d "$docker_root_dir" ]; then 2025-08-14T21:27:26.8182506Z  echo "Docker root directory ($docker_root_dir) does not exist. Skipping disk space check." 2025-08-14T21:27:26.8182680Z  exit 0 2025-08-14T21:27:26.8182763Z fi 2025-08-14T21:27:26.8182924Z diskspace=$(df -H --output=pcent ${docker_root_dir} | sed -n 2p | sed 's/%//' | sed 's/ //') 2025-08-14T21:27:26.8183236Z msg="Please file an issue on pytorch/pytorch reporting the faulty runner. Include a link to the runner logs so the runner can be identified" 2025-08-14T21:27:26.8183504Z if [[ "$diskspace" -ge "$diskspace_cutoff" ]] ; then 2025-08-14T21:27:26.8183638Z  docker system prune -af 2025-08-14T21:27:26.8183817Z  diskspace_new=$(df -H --output=pcent ${docker_root_dir} | sed -n 2p | sed 's/%//' | sed 's/ //') 2025-08-14T21:27:26.8184017Z  if [[ "$diskspace_new" -gt "$diskspace_cutoff" ]] ; then 2025-08-14T21:27:26.8184234Z  echo "Error: Available diskspace is less than $diskspace_cutoff percent. Not enough diskspace." 2025-08-14T21:27:26.8186158Z  echo "$msg" 2025-08-14T21:27:26.8186255Z  exit 1 2025-08-14T21:27:26.8186342Z  else 2025-08-14T21:27:26.8186575Z  difference=$((diskspace - diskspace_new)) 2025-08-14T21:27:26.8186721Z  echo "Diskspace saved: $difference percent" 2025-08-14T21:27:26.8186839Z  fi 2025-08-14T21:27:26.8186917Z fi 2025-08-14T21:27:26.8191849Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:26.8191980Z env: 2025-08-14T21:27:26.8192063Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:26.8192155Z ##[endgroup] 2025-08-14T21:27:26.8211429Z + diskspace_cutoff=70 2025-08-14T21:27:26.8213303Z ++ docker info -f '{{.DockerRootDir}}' 2025-08-14T21:27:26.8529388Z + docker_root_dir=/home/runner/docker-data 2025-08-14T21:27:26.8529541Z + '[' '!' -d /home/runner/docker-data ']' 2025-08-14T21:27:26.8533542Z ++ df -H --output=pcent /home/runner/docker-data 2025-08-14T21:27:26.8533696Z ++ sed -n 2p 2025-08-14T21:27:26.8534434Z ++ sed s/%// 2025-08-14T21:27:26.8534937Z ++ sed 's/ //' 2025-08-14T21:27:26.8551288Z + diskspace=13 2025-08-14T21:27:26.8551636Z + msg='Please file an issue on pytorch/pytorch reporting the faulty runner. Include a link to the runner logs so the runner can be identified' 2025-08-14T21:27:26.8551894Z + [[ 13 -ge 70 ]] 2025-08-14T21:27:26.8591357Z ##[group]Run RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts" 2025-08-14T21:27:26.8591657Z RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts" 2025-08-14T21:27:26.8591870Z rm -rf "${RUNNER_ARTIFACT_DIR}" 2025-08-14T21:27:26.8592059Z mkdir -p "${RUNNER_ARTIFACT_DIR}" 2025-08-14T21:27:26.8592305Z echo "RUNNER_ARTIFACT_DIR=${RUNNER_ARTIFACT_DIR}" >> "${GITHUB_ENV}" 2025-08-14T21:27:26.8594567Z  2025-08-14T21:27:26.8594680Z RUNNER_TEST_RESULTS_DIR="${RUNNER_TEMP}/test-results" 2025-08-14T21:27:26.8594849Z rm -rf "${RUNNER_TEST_RESULTS_DIR}" 2025-08-14T21:27:26.8594974Z mkdir -p "${RUNNER_TEST_RESULTS_DIR}" 2025-08-14T21:27:26.8595142Z echo "RUNNER_TEST_RESULTS_DIR=${RUNNER_TEST_RESULTS_DIR}" >> "${GITHUB_ENV}" 2025-08-14T21:27:26.8595459Z  2025-08-14T21:27:26.8595544Z RUNNER_DOCS_DIR="${RUNNER_TEMP}/docs" 2025-08-14T21:27:26.8595663Z rm -rf "${RUNNER_DOCS_DIR}" 2025-08-14T21:27:26.8595777Z mkdir -p "${RUNNER_DOCS_DIR}" 2025-08-14T21:27:26.8595915Z echo "RUNNER_DOCS_DIR=${RUNNER_DOCS_DIR}" >> "${GITHUB_ENV}" 2025-08-14T21:27:26.8601502Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:26.8604286Z env: 2025-08-14T21:27:26.8604377Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:26.8604475Z ##[endgroup] 2025-08-14T21:27:26.8683276Z ##[group]Run env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:27:26.8683612Z env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:27:26.8685582Z env | grep '^CI' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:27:26.8689785Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:26.8689933Z env: 2025-08-14T21:27:26.8690014Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:26.8690137Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:27:26.8690299Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:27:26.8690450Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:27:26.8690565Z ##[endgroup] 2025-08-14T21:27:26.8742438Z ##[group]Run # All GPUs are visible to the runner; visibility, if needed, will be set by run_test.py. 2025-08-14T21:27:26.8742742Z # All GPUs are visible to the runner; visibility, if needed, will be set by run_test.py. 2025-08-14T21:27:26.8742936Z # Add render group for container creation. 2025-08-14T21:27:26.8743109Z render_gid=`cat /etc/group | grep render | cut -d: -f3` 2025-08-14T21:27:26.8743310Z # Ensure GPU isolation if pod is part of kubernetes setup with DEVICE_FLAG. 2025-08-14T21:27:26.8743507Z if [ -f "/etc/podinfo/gha-render-devices" ]; then 2025-08-14T21:27:26.8743680Z  DEVICE_FLAG=$(cat /etc/podinfo/gha-render-devices) 2025-08-14T21:27:26.8743816Z else 2025-08-14T21:27:26.8743913Z  DEVICE_FLAG="--device /dev/dri" 2025-08-14T21:27:26.8744025Z fi 2025-08-14T21:27:26.8744195Z # The --group-add daemon and --group-add bin are needed in the Ubuntu 24.04 and Almalinux OSs respectively. 2025-08-14T21:27:26.8744460Z # This is due to the device files (/dev/kfd & /dev/dri) being owned by video group on bare metal. 2025-08-14T21:27:26.8744711Z # This video group ID maps to subgid 1 inside the docker image due to the /etc/subgid entries. 2025-08-14T21:27:26.8744967Z # The group name corresponding to group ID 1 can change depending on the OS, so both are necessary. 2025-08-14T21:27:26.8745405Z 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}" 2025-08-14T21:27:26.8751109Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:26.8751248Z env: 2025-08-14T21:27:26.8751336Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:26.8751462Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:27:26.8751627Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:27:26.8751787Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:27:26.8751907Z ##[endgroup] 2025-08-14T21:27:26.8838767Z ##[group]Run aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722 2025-08-14T21:27:26.8838958Z with: 2025-08-14T21:27:26.8839090Z role-to-assume: arn:aws:iam::308535385114:role/gha_workflow_s3_and_ecr_read_only 2025-08-14T21:27:26.8839250Z aws-region: us-east-1 2025-08-14T21:27:26.8839348Z role-duration-seconds: 18000 2025-08-14T21:27:26.8839455Z audience: sts.amazonaws.com 2025-08-14T21:27:26.8841956Z env: 2025-08-14T21:27:26.8842189Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:26.8842312Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:27:26.8842475Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:27:26.8842627Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:27:26.8843020Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:27:26.8843369Z ##[endgroup] 2025-08-14T21:27:27.0816618Z Assuming role with OIDC 2025-08-14T21:27:27.2134558Z Authenticated as assumedRoleId AROAUPVRELQNLLCOPFEJR:GitHubActions 2025-08-14T21:27:27.2562533Z ##[group]Run aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076 2025-08-14T21:27:27.2562779Z with: 2025-08-14T21:27:27.2562921Z mask-password: true 2025-08-14T21:27:27.2563095Z registry-type: private 2025-08-14T21:27:27.2563267Z skip-logout: false 2025-08-14T21:27:27.2563403Z env: 2025-08-14T21:27:27.2563536Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:27.2563739Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:27:27.2563962Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:27:27.2569093Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:27:27.2569484Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:27:27.2569856Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:27:27.2569992Z AWS_REGION: us-east-1 2025-08-14T21:27:27.2570213Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:27:27.2570370Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:27:27.2572369Z AWS_SESSION_TOKEN: *** 2025-08-14T21:27:27.2572480Z ##[endgroup] 2025-08-14T21:27:27.4381325Z Logging into registry 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:27.6622294Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-08-14T21:27:27.6622488Z with: 2025-08-14T21:27:27.6622790Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:27.6623117Z use-custom-docker-registry: true 2025-08-14T21:27:27.6623246Z docker-build-dir: .ci/docker 2025-08-14T21:27:27.6623370Z docker-build-script: ./build.sh 2025-08-14T21:27:27.6623488Z working-directory: . 2025-08-14T21:27:27.6623628Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:27.6623784Z force-push: false 2025-08-14T21:27:27.6623880Z env: 2025-08-14T21:27:27.6624042Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:27.6624222Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:27:27.6624437Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:27:27.6624778Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:27:27.6625202Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:27:27.6625617Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:27:27.6625870Z AWS_REGION: us-east-1 2025-08-14T21:27:27.6626376Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:27:27.6626714Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:27:27.6629189Z AWS_SESSION_TOKEN: *** 2025-08-14T21:27:27.6629337Z ##[endgroup] 2025-08-14T21:27:27.6647061Z ##[group]Run set -ex 2025-08-14T21:27:27.6647190Z set -ex 2025-08-14T21:27:27.6647280Z  2025-08-14T21:27:27.6647430Z # If the docker build directory or the build script doesn't exist, the action will 2025-08-14T21:27:27.6647672Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-08-14T21:27:27.6648027Z # job could then download the pre-built image as usual 2025-08-14T21:27:27.6648278Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-08-14T21:27:27.6648510Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-08-14T21:27:27.6648638Z else 2025-08-14T21:27:27.6648739Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:27:27.6648908Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:27:27.6649059Z  2025-08-14T21:27:27.6649264Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-08-14T21:27:27.6649489Z  exit 0 2025-08-14T21:27:27.6649581Z fi 2025-08-14T21:27:27.6649666Z  2025-08-14T21:27:27.6649805Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-08-14T21:27:27.6650029Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-08-14T21:27:27.6650222Z  # use it as it is, but first let's extract the tag 2025-08-14T21:27:27.6650401Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-08-14T21:27:27.6650592Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:27:27.6651029Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:27:27.6651175Z else 2025-08-14T21:27:27.6651282Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-08-14T21:27:27.6651430Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-08-14T21:27:27.6651578Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-08-14T21:27:27.6651701Z  fi 2025-08-14T21:27:27.6651963Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-08-14T21:27:27.6652190Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:27:27.6652419Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:27:27.6652668Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:27:27.6652820Z fi 2025-08-14T21:27:27.6659695Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:27.6659982Z env: 2025-08-14T21:27:27.6663961Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:27.6664096Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:27:27.6664266Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:27:27.6664423Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:27:27.6664937Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:27:27.6665372Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:27:27.6665484Z AWS_REGION: us-east-1 2025-08-14T21:27:27.6665668Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:27:27.6665900Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:27:27.6668147Z AWS_SESSION_TOKEN: *** 2025-08-14T21:27:27.6670765Z REPO_NAME: pytorch 2025-08-14T21:27:27.6671078Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:27.6671473Z DOCKER_BUILD_DIR: .ci/docker 2025-08-14T21:27:27.6671587Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-08-14T21:27:27.6671732Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:27.6671968Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-08-14T21:27:27.6672081Z CUSTOM_TAG_PREFIX: 2025-08-14T21:27:27.6672179Z ##[endgroup] 2025-08-14T21:27:27.6698310Z + [[ -d .ci/docker ]] 2025-08-14T21:27:27.6698546Z + [[ -f .ci/docker/./build.sh ]] 2025-08-14T21:27:27.6698744Z + [[ true == \t\r\u\e ]] 2025-08-14T21:27:27.6698918Z + echo skip=false 2025-08-14T21:27:27.6699392Z + [[ 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* ]] 2025-08-14T21:27:27.6701545Z ++ awk -F '[:,]' '{print $2}' 2025-08-14T21:27:27.6702493Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:27.6710594Z + DOCKER_TAG=pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:27.6711003Z + echo docker-tag=pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:27.6711597Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:27.6743565Z ##[group]Run set +e 2025-08-14T21:27:27.6743718Z set +e 2025-08-14T21:27:27.6743813Z set -x 2025-08-14T21:27:27.6743901Z  2025-08-14T21:27:27.6743985Z login() { 2025-08-14T21:27:27.6744178Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-08-14T21:27:27.6744369Z } 2025-08-14T21:27:27.6744452Z  2025-08-14T21:27:27.6744535Z retry () { 2025-08-14T21:27:27.6744643Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-08-14T21:27:27.6746773Z } 2025-08-14T21:27:27.6746865Z  2025-08-14T21:27:27.6746953Z retry login "${DOCKER_REGISTRY}" 2025-08-14T21:27:27.6747070Z  2025-08-14T21:27:27.6747158Z START_TIME=$(date +%s) 2025-08-14T21:27:27.6747448Z # Wait up to 120 minutes 2025-08-14T21:27:27.6747590Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-08-14T21:27:27.6747771Z  # Check if image already exists, if it does then skip building it 2025-08-14T21:27:27.6747951Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-08-14T21:27:27.6748085Z  exit 0 2025-08-14T21:27:27.6748175Z  fi 2025-08-14T21:27:27.6748256Z  2025-08-14T21:27:27.6748400Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-08-14T21:27:27.6748643Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-08-14T21:27:27.6748880Z  # latter, it will wait for the Docker images to become available before continuing 2025-08-14T21:27:27.6750693Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-08-14T21:27:27.6750851Z  # It's a Docker build job, let's build the image 2025-08-14T21:27:27.6750995Z  break 2025-08-14T21:27:27.6751085Z  else 2025-08-14T21:27:27.6751216Z  # It's a regular build job, wait for the image to become available 2025-08-14T21:27:27.6751370Z  sleep 300 2025-08-14T21:27:27.6751465Z  fi 2025-08-14T21:27:27.6751548Z done 2025-08-14T21:27:27.6751629Z  2025-08-14T21:27:27.6751763Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-08-14T21:27:27.6751966Z # be empty. The default action would be to continue rebuild the image 2025-08-14T21:27:27.6753650Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-08-14T21:27:27.6753819Z  # if we're on the base branch then use the parent commit 2025-08-14T21:27:27.6753969Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-08-14T21:27:27.6754084Z else 2025-08-14T21:27:27.6754209Z  # otherwise we're on a PR, so use the most recent base commit 2025-08-14T21:27:27.6754504Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-08-14T21:27:27.6754636Z fi 2025-08-14T21:27:27.6754717Z  2025-08-14T21:27:27.6754807Z if [[ -z "${MERGE_BASE}" ]]; then 2025-08-14T21:27:27.6754940Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:27:27.6755065Z  2025-08-14T21:27:27.6756911Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-08-14T21:27:27.6757106Z  exit 0 2025-08-14T21:27:27.6757191Z fi 2025-08-14T21:27:27.6757274Z  2025-08-14T21:27:27.6757390Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-08-14T21:27:27.6757632Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-08-14T21:27:27.6757836Z  exit 1 2025-08-14T21:27:27.6757927Z fi 2025-08-14T21:27:27.6758011Z  2025-08-14T21:27:27.6758146Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-08-14T21:27:27.6758381Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-08-14T21:27:27.6760062Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-08-14T21:27:27.6760302Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-08-14T21:27:27.6760692Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-08-14T21:27:27.6760855Z fi 2025-08-14T21:27:27.6760937Z  2025-08-14T21:27:27.6761039Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:27:27.6766567Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:27.6766712Z env: 2025-08-14T21:27:27.6766805Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:27.6768741Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:27:27.6768925Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:27:27.6769087Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:27:27.6769467Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:27:27.6769838Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:27:27.6769948Z AWS_REGION: us-east-1 2025-08-14T21:27:27.6770168Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:27:27.6770329Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:27:27.6772318Z AWS_SESSION_TOKEN: *** 2025-08-14T21:27:27.6772422Z DOCKER_BUILD_DIR: .ci/docker 2025-08-14T21:27:27.6772555Z BASE_REVISION: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:27:27.6774484Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:27.6774898Z DOCKER_TAG: pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:27.6775147Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:27.6775292Z DOCKER_PUSH: 2025-08-14T21:27:27.6775384Z ##[endgroup] 2025-08-14T21:27:27.6795744Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:27.6796006Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:27.6797911Z + aws ecr get-login-password --region us-east-1 2025-08-14T21:27:27.6798393Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:27.6798700Z /home/runner/_work/_temp/7518a5af-4dad-4e3e-aea5-981a1077aab6.sh: line 5: aws: command not found 2025-08-14T21:27:27.6914902Z Error: Cannot perform an interactive login from a non TTY device 2025-08-14T21:27:27.6929515Z + sleep 1 2025-08-14T21:27:28.6939193Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:28.6953786Z + aws ecr get-login-password --region us-east-1 2025-08-14T21:27:28.6954882Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:28.6955692Z /home/runner/_work/_temp/7518a5af-4dad-4e3e-aea5-981a1077aab6.sh: line 5: aws: command not found 2025-08-14T21:27:28.7088364Z Error: Cannot perform an interactive login from a non TTY device 2025-08-14T21:27:28.7101341Z + sleep 2 2025-08-14T21:27:30.7113660Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:30.7116080Z + aws ecr get-login-password --region us-east-1 2025-08-14T21:27:30.7116375Z /home/runner/_work/_temp/7518a5af-4dad-4e3e-aea5-981a1077aab6.sh: line 5: aws: command not found 2025-08-14T21:27:30.7116851Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:30.7217806Z Error: Cannot perform an interactive login from a non TTY device 2025-08-14T21:27:30.7225741Z ++ date +%s 2025-08-14T21:27:30.7233715Z + START_TIME=1755206850 2025-08-14T21:27:30.7236856Z ++ date +%s 2025-08-14T21:27:30.7244498Z + [[ 1755199650 -lt 1755206850 ]] 2025-08-14T21:27:30.7245556Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:31.3021521Z { 2025-08-14T21:27:31.3021823Z "schemaVersion": 2, 2025-08-14T21:27:31.3022366Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-08-14T21:27:31.3022837Z "config": { 2025-08-14T21:27:31.3030870Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-08-14T21:27:31.3031083Z "size": 28953, 2025-08-14T21:27:31.3031296Z "digest": "sha256:f968c2883fdf032a534e9577cb4e8bad20e2eb8cd411e3dd3d358b47f53e7a2c" 2025-08-14T21:27:31.3031517Z }, 2025-08-14T21:27:31.3031619Z "layers": [ 2025-08-14T21:27:31.3031733Z { 2025-08-14T21:27:31.3032176Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:27:31.3032367Z "size": 30448173, 2025-08-14T21:27:31.3032577Z "digest": "sha256:660ffc76f83b006444a5731b215acc2e35138d8be5cac8ed1ffd40f947117495" 2025-08-14T21:27:31.3032789Z }, 2025-08-14T21:27:31.3032888Z { 2025-08-14T21:27:31.3033047Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:27:31.3033240Z "size": 1554, 2025-08-14T21:27:31.3033435Z "digest": "sha256:92bfd659ef8b927b4551531ac0e9de296b22554de7a7598a74c2141f2662e55f" 2025-08-14T21:27:31.3033643Z }, 2025-08-14T21:27:31.3033729Z { 2025-08-14T21:27:31.3033876Z "mediaType": 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2025-08-14T21:27:31.3038819Z "size": 485, 2025-08-14T21:27:31.3038971Z "digest": "sha256:d270f0d3863f9626f6c5a219fca3d44dc2f4695f656b0b406fd71f5389bf1636" 2025-08-14T21:27:31.3039135Z }, 2025-08-14T21:27:31.3039205Z { 2025-08-14T21:27:31.3039329Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:27:31.3041666Z "size": 110343755, 2025-08-14T21:27:31.3041851Z "digest": "sha256:5c8b5add11b023758224905b55c7ea13dc0856e734f89e8c079bacc61d6e6b49" 2025-08-14T21:27:31.3042094Z }, 2025-08-14T21:27:31.3042262Z { 2025-08-14T21:27:31.3042397Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:27:31.3042546Z "size": 4242, 2025-08-14T21:27:31.3042698Z "digest": "sha256:8749a128a59f20cfd5fc3950a4621e219e44eca5852cb3663b30cb37656b1e8a" 2025-08-14T21:27:31.3042871Z }, 2025-08-14T21:27:31.3042969Z { 2025-08-14T21:27:31.3045995Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:27:31.3046213Z "size": 1709, 2025-08-14T21:27:31.3046373Z "digest": "sha256:f854990b300b43cd8046e118b72b1d870f72a9ae2924505eca652564857fb488" 2025-08-14T21:27:31.3046624Z }, 2025-08-14T21:27:31.3046702Z { 2025-08-14T21:27:31.3046827Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:27:31.3046983Z "size": 724, 2025-08-14T21:27:31.3047139Z "digest": "sha256:f5ee8fcbf10357f0b748cb22b5895845cfaa8ac1d9c9533cd29be9a417b217c5" 2025-08-14T21:27:31.3047308Z }, 2025-08-14T21:27:31.3047378Z { 2025-08-14T21:27:31.3047503Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:27:31.3047653Z "size": 3244143357, 2025-08-14T21:27:31.3047815Z "digest": "sha256:a10b9d4967ee5e80af57d63683d6701aeddcd2188bf301d628de3c3faf6687a1" 2025-08-14T21:27:31.3047980Z }, 2025-08-14T21:27:31.3048052Z { 2025-08-14T21:27:31.3049849Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:27:31.3049999Z "size": 380, 2025-08-14T21:27:31.3050155Z "digest": 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--secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin 2025-08-14T21:27:31.3141964Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:31.3142120Z env: 2025-08-14T21:27:31.3142211Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:31.3142342Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:27:31.3142515Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:27:31.3142672Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:27:31.3143045Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:27:31.3143413Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:27:31.3143524Z AWS_REGION: us-east-1 2025-08-14T21:27:31.3143731Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:27:31.3143879Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:27:31.3147590Z AWS_SESSION_TOKEN: *** 2025-08-14T21:27:31.3147693Z ##[endgroup] 2025-08-14T21:27:31.3176020Z + jq --raw-output .SecretString 2025-08-14T21:27:31.3176300Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-08-14T21:27:31.3176658Z /home/runner/_work/_temp/d5e6ef97-30ec-4dcc-8bad-2f0d287a97bb.sh: line 2: aws: command not found 2025-08-14T21:27:31.3184047Z + jq -r .docker_hub_readonly_token 2025-08-14T21:27:31.3184453Z + docker login --username pytorchbot --password-stdin 2025-08-14T21:27:31.3285265Z Error: Cannot perform an interactive login from a non TTY device 2025-08-14T21:27:31.3304815Z ##[error]Process completed with exit code 1. 2025-08-14T21:27:31.3373034Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-08-14T21:27:31.3373206Z with: 2025-08-14T21:27:31.3373497Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:31.3373839Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:31.3373983Z env: 2025-08-14T21:27:31.3374072Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:31.3374205Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:27:31.3374373Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:27:31.3374534Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:27:31.3374926Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:27:31.3377995Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:27:31.3378118Z AWS_REGION: us-east-1 2025-08-14T21:27:31.3378294Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:27:31.3378445Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:27:31.3380417Z AWS_SESSION_TOKEN: *** 2025-08-14T21:27:31.3380517Z ##[endgroup] 2025-08-14T21:27:31.3600993Z ##[group]Run set -x 2025-08-14T21:27:31.3601115Z set -x 2025-08-14T21:27:31.3601199Z set +e 2025-08-14T21:27:31.3601283Z  2025-08-14T21:27:31.3601363Z login() { 2025-08-14T21:27:31.3601549Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-08-14T21:27:31.3601735Z } 2025-08-14T21:27:31.3601814Z  2025-08-14T21:27:31.3601895Z retry () { 2025-08-14T21:27:31.3602002Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-08-14T21:27:31.3602121Z } 2025-08-14T21:27:31.3602200Z  2025-08-14T21:27:31.3602294Z retry login "${DOCKER_REGISTRY}" 2025-08-14T21:27:31.3602409Z  2025-08-14T21:27:31.3602690Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-08-14T21:27:31.3606042Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-08-14T21:27:31.3606183Z  2025-08-14T21:27:31.3606266Z set -e 2025-08-14T21:27:31.3606500Z # ignore output since only exit code is used for conditional 2025-08-14T21:27:31.3606678Z # only pull docker image if it's not available locally 2025-08-14T21:27:31.3606875Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-08-14T21:27:31.3607060Z  retry docker pull "${DOCKER_IMAGE}" 2025-08-14T21:27:31.3607176Z fi 2025-08-14T21:27:31.3612421Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:27:31.3614914Z env: 2025-08-14T21:27:31.3615015Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:27:31.3615147Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:27:31.3615323Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:27:31.3615482Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:27:31.3615858Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:27:31.3616222Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:27:31.3616330Z AWS_REGION: us-east-1 2025-08-14T21:27:31.3616577Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:27:31.3616726Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:27:31.3618709Z AWS_SESSION_TOKEN: *** 2025-08-14T21:27:31.3621132Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:31.3623994Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:31.3624146Z ##[endgroup] 2025-08-14T21:27:31.3648355Z + set +e 2025-08-14T21:27:31.3648719Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:31.3649187Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:31.3651437Z + aws ecr get-login-password --region us-east-1 2025-08-14T21:27:31.3652892Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:31.3653699Z /home/runner/_work/_temp/8d0adc08-ba49-4363-ad4e-7247a8a69ae1.sh: line 5: aws: command not found 2025-08-14T21:27:31.3763549Z Error: Cannot perform an interactive login from a non TTY device 2025-08-14T21:27:31.3775545Z + sleep 1 2025-08-14T21:27:32.3786785Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:32.3788233Z + aws ecr get-login-password --region us-east-1 2025-08-14T21:27:32.3789280Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:32.3789613Z /home/runner/_work/_temp/8d0adc08-ba49-4363-ad4e-7247a8a69ae1.sh: line 5: aws: command not found 2025-08-14T21:27:32.3908085Z Error: Cannot perform an interactive login from a non TTY device 2025-08-14T21:27:32.3919943Z + sleep 2 2025-08-14T21:27:34.3933329Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:34.3935585Z + aws ecr get-login-password --region us-east-1 2025-08-14T21:27:34.3936233Z /home/runner/_work/_temp/8d0adc08-ba49-4363-ad4e-7247a8a69ae1.sh: line 5: aws: command not found 2025-08-14T21:27:34.3937234Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:27:34.4026995Z Error: Cannot perform an interactive login from a non TTY device 2025-08-14T21:27:34.4043544Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:34.4044007Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-08-14T21:27:34.9437170Z + IMAGE_SIZE=34596.62600708008 2025-08-14T21:27:34.9437675Z Compressed size of image in MB: 34596.62600708008 2025-08-14T21:27:34.9438297Z + echo 'Compressed size of image in MB: 34596.62600708008' 2025-08-14T21:27:34.9438452Z + set -e 2025-08-14T21:27:34.9438779Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:34.9549071Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:34.9549987Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:27:35.4184606Z pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe: Pulling from pytorch/ci-image 2025-08-14T21:27:35.4184968Z 660ffc76f83b: Pulling fs layer 2025-08-14T21:27:35.4185088Z 92bfd659ef8b: Pulling fs layer 2025-08-14T21:27:35.4185224Z f0d15f41a3d0: Pulling fs layer 2025-08-14T21:27:35.4185340Z 6e41a7f8bbe4: Pulling fs layer 2025-08-14T21:27:35.4185453Z 1a918a61ab6c: Pulling fs layer 2025-08-14T21:27:35.4185569Z d270f0d3863f: Pulling fs layer 2025-08-14T21:27:35.4185680Z 5c8b5add11b0: Pulling fs layer 2025-08-14T21:27:35.4185795Z 8749a128a59f: Pulling fs layer 2025-08-14T21:27:35.4193707Z f854990b300b: Pulling fs layer 2025-08-14T21:27:35.4193920Z f5ee8fcbf103: Pulling fs layer 2025-08-14T21:27:35.4194094Z a10b9d4967ee: Pulling fs layer 2025-08-14T21:27:35.4194258Z 5c0d4173d03e: Pulling fs layer 2025-08-14T21:27:35.4208255Z fed85afe92aa: Pulling fs layer 2025-08-14T21:27:35.4208441Z 52302670619d: Pulling fs layer 2025-08-14T21:27:35.4208655Z 42e86e9c5c3a: Pulling fs layer 2025-08-14T21:27:35.4208832Z 4dc28c0c5d18: Pulling fs layer 2025-08-14T21:27:35.4208999Z 0ca33291d1fa: Pulling fs layer 2025-08-14T21:27:35.4209503Z da79ec9fb56c: Pulling fs layer 2025-08-14T21:27:35.4209679Z 325dc2848ba0: Pulling fs layer 2025-08-14T21:27:35.4209864Z df5cd943c373: Pulling fs layer 2025-08-14T21:27:35.4210028Z 4db9a41536f5: Pulling fs layer 2025-08-14T21:27:35.4210186Z b05d7c562d5c: Pulling fs layer 2025-08-14T21:27:35.4210341Z 8749a128a59f: Waiting 2025-08-14T21:27:35.4210489Z 2a6c6a5a7fe3: Pulling fs layer 2025-08-14T21:27:35.4210600Z 9853a939cabe: Pulling fs layer 2025-08-14T21:27:35.4210709Z 4eb8f1f36a6f: Pulling fs layer 2025-08-14T21:27:35.4210816Z 988fbe4e5657: Pulling fs layer 2025-08-14T21:27:35.4210919Z 59679654be53: Pulling fs layer 2025-08-14T21:27:35.4211021Z f854990b300b: Waiting 2025-08-14T21:27:35.4211118Z f5ee8fcbf103: Waiting 2025-08-14T21:27:35.4211218Z d270f0d3863f: Waiting 2025-08-14T21:27:35.4211313Z 5c8b5add11b0: Waiting 2025-08-14T21:27:35.4211421Z da79ec9fb56c: Waiting 2025-08-14T21:27:35.4211513Z 5c0d4173d03e: Waiting 2025-08-14T21:27:35.4211611Z 3c2d7fc49b16: Pulling fs layer 2025-08-14T21:27:35.4211724Z d55c2f227838: Pulling fs layer 2025-08-14T21:27:35.4211828Z 325dc2848ba0: Waiting 2025-08-14T21:27:35.4211925Z df5cd943c373: Waiting 2025-08-14T21:27:35.4212025Z 03d6b4374ffa: Pulling fs layer 2025-08-14T21:27:35.4212139Z 0f8e385a08d8: Pulling fs layer 2025-08-14T21:27:35.4212248Z 180fa33de95d: Pulling fs layer 2025-08-14T21:27:35.4212351Z 1a918a61ab6c: Waiting 2025-08-14T21:27:35.4212441Z d55c2f227838: Waiting 2025-08-14T21:27:35.4212538Z 9853a939cabe: Waiting 2025-08-14T21:27:35.4212636Z fed85afe92aa: Waiting 2025-08-14T21:27:35.4212729Z 988fbe4e5657: Waiting 2025-08-14T21:27:35.4212825Z 52302670619d: Waiting 2025-08-14T21:27:35.4212920Z 42e86e9c5c3a: Waiting 2025-08-14T21:27:35.4213017Z 6e41a7f8bbe4: Waiting 2025-08-14T21:27:35.4213114Z a10b9d4967ee: Waiting 2025-08-14T21:27:35.4213210Z 4db9a41536f5: Waiting 2025-08-14T21:27:35.4213306Z b05d7c562d5c: Waiting 2025-08-14T21:27:35.4213402Z 4dc28c0c5d18: Waiting 2025-08-14T21:27:35.4214954Z 3c2d7fc49b16: Waiting 2025-08-14T21:27:35.4215139Z 0ca33291d1fa: Waiting 2025-08-14T21:27:35.4215901Z 4eb8f1f36a6f: Waiting 2025-08-14T21:27:35.4216629Z 1237e0fb7554: Pulling fs layer 2025-08-14T21:27:35.4216755Z f610669ab303: Pulling fs layer 2025-08-14T21:27:35.4216871Z 731933086505: Pulling fs layer 2025-08-14T21:27:35.4216980Z 180fa33de95d: Waiting 2025-08-14T21:27:35.4217076Z 731933086505: Waiting 2025-08-14T21:27:35.4217170Z a63a18666963: Pulling fs layer 2025-08-14T21:27:35.4217282Z 26547c98f8ab: Pulling fs layer 2025-08-14T21:27:35.4217394Z 0e60af5e7f42: Pulling fs layer 2025-08-14T21:27:35.4217496Z a63a18666963: Waiting 2025-08-14T21:27:35.4217594Z c248081dfc75: Pulling fs layer 2025-08-14T21:27:35.4217706Z 97a6c299b273: Pulling fs layer 2025-08-14T21:27:35.4217811Z f610669ab303: Waiting 2025-08-14T21:27:35.4217905Z 26547c98f8ab: Waiting 2025-08-14T21:27:35.4217995Z 0e60af5e7f42: Waiting 2025-08-14T21:27:35.4218096Z 0d048ba0feb8: Pulling fs layer 2025-08-14T21:27:35.4218206Z 6c2fd4c1021a: Pulling fs layer 2025-08-14T21:27:35.4218321Z c248081dfc75: Waiting 2025-08-14T21:27:35.4218413Z 97a6c299b273: Waiting 2025-08-14T21:27:35.4218506Z 1237e0fb7554: Waiting 2025-08-14T21:27:35.4218602Z 0d048ba0feb8: Waiting 2025-08-14T21:27:35.4218698Z 1a5448de2765: Pulling fs layer 2025-08-14T21:27:35.4218806Z 5e9becdabdf9: Pulling fs layer 2025-08-14T21:27:35.4218919Z 71ce54a6bab9: Pulling fs layer 2025-08-14T21:27:35.4219027Z a9caecb39e46: Pulling fs layer 2025-08-14T21:27:35.4219130Z 5e9becdabdf9: Waiting 2025-08-14T21:27:35.4219222Z 1a5448de2765: Waiting 2025-08-14T21:27:35.4219314Z a9caecb39e46: Waiting 2025-08-14T21:27:35.4219410Z 066586f389fb: Pulling fs layer 2025-08-14T21:27:35.4219519Z da4f9a8100cf: Pulling fs layer 2025-08-14T21:27:35.4219623Z 6c2fd4c1021a: Waiting 2025-08-14T21:27:35.4219717Z 066586f389fb: Waiting 2025-08-14T21:27:35.4219805Z 71ce54a6bab9: Waiting 2025-08-14T21:27:35.4219907Z f6fe93848ce1: Pulling fs layer 2025-08-14T21:27:35.4220018Z b672a62688e0: Pulling fs layer 2025-08-14T21:27:35.4220125Z df63d17f1f35: Pulling fs layer 2025-08-14T21:27:35.4220360Z da4f9a8100cf: Waiting 2025-08-14T21:27:35.4220460Z 4f4fb700ef54: Pulling fs layer 2025-08-14T21:27:35.4220577Z adfd13fc143b: Pulling fs layer 2025-08-14T21:27:35.4220681Z df63d17f1f35: Waiting 2025-08-14T21:27:35.4220788Z f6fe93848ce1: Waiting 2025-08-14T21:27:35.4220885Z bc1598798397: Pulling fs layer 2025-08-14T21:27:35.4220993Z 4f4fb700ef54: Waiting 2025-08-14T21:27:35.4221093Z bc1598798397: Waiting 2025-08-14T21:27:35.6709796Z 92bfd659ef8b: Verifying Checksum 2025-08-14T21:27:35.6710048Z 92bfd659ef8b: Download complete 2025-08-14T21:27:35.8789908Z 6e41a7f8bbe4: Download complete 2025-08-14T21:27:35.9178129Z 660ffc76f83b: Verifying Checksum 2025-08-14T21:27:35.9178410Z 660ffc76f83b: Download complete 2025-08-14T21:27:36.0863824Z 1a918a61ab6c: Verifying Checksum 2025-08-14T21:27:36.0864142Z 1a918a61ab6c: Download complete 2025-08-14T21:27:36.1609241Z d270f0d3863f: Download complete 2025-08-14T21:27:36.5049994Z 8749a128a59f: Verifying Checksum 2025-08-14T21:27:36.5050245Z 8749a128a59f: Download complete 2025-08-14T21:27:36.7242013Z 660ffc76f83b: Pull complete 2025-08-14T21:27:36.7359579Z 92bfd659ef8b: Pull complete 2025-08-14T21:27:36.7371103Z f854990b300b: Verifying Checksum 2025-08-14T21:27:36.7377336Z f854990b300b: Download complete 2025-08-14T21:27:36.9718560Z f5ee8fcbf103: Download complete 2025-08-14T21:27:38.0298801Z 5c8b5add11b0: Verifying Checksum 2025-08-14T21:27:38.0326912Z 5c8b5add11b0: Download complete 2025-08-14T21:27:38.2481852Z 5c0d4173d03e: Verifying Checksum 2025-08-14T21:27:38.2482120Z 5c0d4173d03e: Download complete 2025-08-14T21:27:38.6190724Z fed85afe92aa: Verifying Checksum 2025-08-14T21:27:38.6191983Z fed85afe92aa: Download complete 2025-08-14T21:27:38.8228127Z 52302670619d: Download complete 2025-08-14T21:27:39.0736302Z 42e86e9c5c3a: Verifying Checksum 2025-08-14T21:27:39.0736894Z 42e86e9c5c3a: Download complete 2025-08-14T21:27:39.3158787Z 4dc28c0c5d18: Verifying Checksum 2025-08-14T21:27:39.3160236Z 4dc28c0c5d18: Download complete 2025-08-14T21:27:40.8097440Z f0d15f41a3d0: Verifying Checksum 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complete 2025-08-14T21:28:24.4762927Z 2a6c6a5a7fe3: Verifying Checksum 2025-08-14T21:28:24.4763157Z 2a6c6a5a7fe3: Download complete 2025-08-14T21:28:24.6804491Z 9853a939cabe: Download complete 2025-08-14T21:28:24.9042660Z 4eb8f1f36a6f: Verifying Checksum 2025-08-14T21:28:24.9042919Z 4eb8f1f36a6f: Download complete 2025-08-14T21:28:25.1180057Z 988fbe4e5657: Verifying Checksum 2025-08-14T21:28:25.1180460Z 988fbe4e5657: Download complete 2025-08-14T21:28:25.3378349Z 59679654be53: Verifying Checksum 2025-08-14T21:28:25.3378753Z 59679654be53: Download complete 2025-08-14T21:28:25.6668928Z 3c2d7fc49b16: Verifying Checksum 2025-08-14T21:28:25.6704474Z 3c2d7fc49b16: Download complete 2025-08-14T21:28:25.8846186Z d55c2f227838: Verifying Checksum 2025-08-14T21:28:25.8846338Z d55c2f227838: Download complete 2025-08-14T21:28:26.0753354Z 03d6b4374ffa: Verifying Checksum 2025-08-14T21:28:26.0754587Z 03d6b4374ffa: Download complete 2025-08-14T21:28:26.5345440Z 0f8e385a08d8: Verifying Checksum 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2025-08-14T21:34:57.0335654Z df63d17f1f35: Pull complete 2025-08-14T21:34:57.0477148Z 4f4fb700ef54: Pull complete 2025-08-14T21:34:57.0596166Z adfd13fc143b: Pull complete 2025-08-14T21:34:57.8552536Z bc1598798397: Pull complete 2025-08-14T21:34:57.8613999Z Digest: sha256:26220611dadb9f93b140ce4e0373f6f2155144d54eb630d66505a6fc080a99d5 2025-08-14T21:34:57.8633394Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:34:57.8649662Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:34:57.8707181Z Prepare all required actions 2025-08-14T21:34:57.8732783Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-08-14T21:34:57.8732987Z with: 2025-08-14T21:34:57.8733287Z github-token: *** 2025-08-14T21:34:57.8733381Z env: 2025-08-14T21:34:57.8733469Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:57.8733602Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:34:57.8733777Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:34:57.8733939Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:34:57.8734324Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:34:57.8737104Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:34:57.8737231Z AWS_REGION: us-east-1 2025-08-14T21:34:57.8737419Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:34:57.8737598Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:34:57.8739636Z AWS_SESSION_TOKEN: *** 2025-08-14T21:34:57.8739736Z ##[endgroup] 2025-08-14T21:34:57.8751691Z ##[group]Run set -eux 2025-08-14T21:34:57.8751862Z set -eux 2025-08-14T21:34:57.8752121Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-08-14T21:34:57.8758463Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:34:57.8758688Z env: 2025-08-14T21:34:57.8758827Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:57.8759032Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:34:57.8759307Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:34:57.8759558Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:34:57.8760246Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:34:57.8760718Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:34:57.8760833Z AWS_REGION: us-east-1 2025-08-14T21:34:57.8763831Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:34:57.8764068Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:34:57.8766061Z AWS_SESSION_TOKEN: *** 2025-08-14T21:34:57.8766208Z GITHUB_TOKEN: *** 2025-08-14T21:34:57.8766301Z ##[endgroup] 2025-08-14T21:34:57.8794012Z + python3 .github/scripts/get_workflow_job_id.py 16976338999 linux.rocm.gpu.gfx942.1-ccq8d-runner-g6tlr 2025-08-14T21:34:59.5160572Z Setting output job-id=48128598953 2025-08-14T21:34:59.5161349Z Setting output job-name=rocm-py3_10-periodic-dynamo-benchmarks / test (dynamo_eager_torchbench, 1, 2, linux.rocm.gpu.gfx942.1) 2025-08-14T21:34:59.5254126Z Prepare all required actions 2025-08-14T21:34:59.5254322Z Getting action download info 2025-08-14T21:34:59.7293646Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-08-14T21:35:00.2343323Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-08-14T21:35:00.6217866Z ##[group]Run ./.github/actions/download-build-artifacts 2025-08-14T21:35:00.6218023Z with: 2025-08-14T21:35:00.6218128Z name: linux-jammy-rocm-py3_10 2025-08-14T21:35:00.6218251Z s3-bucket: gha-artifacts 2025-08-14T21:35:00.6218352Z env: 2025-08-14T21:35:00.6218438Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:00.6218570Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:00.6218742Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:00.6218915Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:00.6219311Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:00.6219682Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:00.6219793Z AWS_REGION: us-east-1 2025-08-14T21:35:00.6219961Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:00.6220114Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:00.6222077Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:00.6222180Z ##[endgroup] 2025-08-14T21:35:00.6239980Z ##[group]Run seemethere/download-artifact-s3@v4 2025-08-14T21:35:00.6240119Z with: 2025-08-14T21:35:00.6240223Z name: linux-jammy-rocm-py3_10 2025-08-14T21:35:00.6240345Z s3-bucket: gha-artifacts 2025-08-14T21:35:00.6240455Z region: us-east-1 2025-08-14T21:35:00.6240552Z env: 2025-08-14T21:35:00.6240641Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:00.6240908Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:00.6241084Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:00.6241251Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:00.6241626Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:00.6241991Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:00.6242106Z AWS_REGION: us-east-1 2025-08-14T21:35:00.6242252Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:00.6242406Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:00.6244380Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:00.6244480Z ##[endgroup] 2025-08-14T21:35:00.8656855Z (node:4834) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-08-14T21:35:00.8657385Z 2025-08-14T21:35:00.8657643Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-08-14T21:35:00.8658226Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-08-14T21:35:00.8671027Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-08-14T21:35:00.9777989Z Found 1 objects with prefix pytorch/pytorch/16976338999/linux-jammy-rocm-py3_10/ 2025-08-14T21:35:00.9778638Z Starting download (1/1): /home/runner/_work/pytorch/pytorch/artifacts.zip 2025-08-14T21:35:15.0291447Z Finished download (1/1): /home/runner/_work/pytorch/pytorch/artifacts.zip 2025-08-14T21:35:15.0294027Z Artifact download has finished successfully 2025-08-14T21:35:15.0537953Z ##[group]Run unzip -o artifacts.zip 2025-08-14T21:35:15.0538122Z unzip -o artifacts.zip 2025-08-14T21:35:15.0543824Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:15.0543973Z env: 2025-08-14T21:35:15.0544065Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:15.0544198Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:15.0544581Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:15.0544741Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:15.0545120Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:15.0545486Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:15.0547888Z AWS_REGION: us-east-1 2025-08-14T21:35:15.0548089Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:15.0548239Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:15.0550194Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:15.0550296Z ##[endgroup] 2025-08-14T21:35:15.0595324Z Archive: artifacts.zip 2025-08-14T21:35:15.0596645Z creating: dist/ 2025-08-14T21:35:18.1193312Z inflating: dist/torch-2.9.0a0+git1fc683c-cp310-cp310-linux_x86_64.whl 2025-08-14T21:35:18.1275491Z inflating: dist/.ninja_log 2025-08-14T21:35:18.1275823Z creating: build/custom_test_artifacts/ 2025-08-14T21:35:18.1276163Z creating: build/custom_test_artifacts/custom-op-build/ 2025-08-14T21:35:18.1285079Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/ 2025-08-14T21:35:18.1285806Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/pkgRedirects/ 2025-08-14T21:35:18.1286335Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeConfigureLog.yaml 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2025-08-14T21:35:22.7107292Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:22.7107426Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:22.7107600Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:22.7107764Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:22.7108149Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:22.7108526Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:22.7108786Z AWS_REGION: us-east-1 2025-08-14T21:35:22.7108996Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:22.7109242Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:22.7111240Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:22.7111343Z ##[endgroup] 2025-08-14T21:35:22.8765232Z ##[group]Run df -H 2025-08-14T21:35:22.8765361Z df -H 2025-08-14T21:35:22.8771195Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:22.8771341Z env: 2025-08-14T21:35:22.8771432Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:22.8773456Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:22.8773633Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:22.8773799Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:22.8774177Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:22.8774573Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:22.8774683Z AWS_REGION: us-east-1 2025-08-14T21:35:22.8774853Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:22.8774999Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:22.8777058Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:22.8777156Z ##[endgroup] 2025-08-14T21:35:22.8818034Z Filesystem Size Used Avail Use% Mounted on 2025-08-14T21:35:22.8818287Z overlay 2.2T 410G 1.8T 20% / 2025-08-14T21:35:22.8818498Z tmpfs 68M 0 68M 0% /dev 2025-08-14T21:35:22.8818702Z /dev/vda1 2.2T 410G 1.8T 20% /run 2025-08-14T21:35:22.8818906Z shm 68M 4.1k 68M 1% /dev/shm 2025-08-14T21:35:22.8819170Z tmpfs 1.4T 13k 1.4T 1% /run/secrets/kubernetes.io/serviceaccount 2025-08-14T21:35:22.8819583Z tmpfs 675G 0 675G 0% /proc/acpi 2025-08-14T21:35:22.8823629Z tmpfs 675G 0 675G 0% /proc/scsi 2025-08-14T21:35:22.8824126Z tmpfs 675G 0 675G 0% /sys/firmware 2025-08-14T21:35:22.8845919Z Prepare all required actions 2025-08-14T21:35:22.8846144Z Getting action download info 2025-08-14T21:35:23.0557402Z ##[group]Run ./.github/actions/download-td-artifacts 2025-08-14T21:35:23.0557537Z with: 2025-08-14T21:35:23.0557621Z env: 2025-08-14T21:35:23.0557708Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:23.0557839Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:23.0558009Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:23.0558169Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:23.0558551Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:23.0558912Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:23.0559030Z AWS_REGION: us-east-1 2025-08-14T21:35:23.0561575Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:23.0561764Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:23.0563724Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:23.0563823Z ##[endgroup] 2025-08-14T21:35:23.0584582Z ##[group]Run seemethere/download-artifact-s3@v4 2025-08-14T21:35:23.0584710Z with: 2025-08-14T21:35:23.0584794Z name: td_results 2025-08-14T21:35:23.0584889Z s3-bucket: gha-artifacts 2025-08-14T21:35:23.0584990Z region: us-east-1 2025-08-14T21:35:23.0585076Z env: 2025-08-14T21:35:23.0585160Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:23.0585289Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:23.0587521Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:23.0587693Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:23.0588070Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:23.0588443Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:23.0588554Z AWS_REGION: us-east-1 2025-08-14T21:35:23.0588684Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:23.0588829Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:23.0590800Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:23.0590899Z ##[endgroup] 2025-08-14T21:35:23.2885168Z (node:4856) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-08-14T21:35:23.2885429Z 2025-08-14T21:35:23.2885555Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-08-14T21:35:23.2885848Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-08-14T21:35:23.2886151Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-08-14T21:35:23.4154168Z Found 0 objects with prefix pytorch/pytorch/16976338999/td_results/ 2025-08-14T21:35:23.4158130Z Artifact download has finished successfully 2025-08-14T21:35:23.4322272Z ##[group]Run mkdir -p .additional_ci_files 2025-08-14T21:35:23.4322458Z mkdir -p .additional_ci_files 2025-08-14T21:35:23.4322634Z mv td_results.json .additional_ci_files/td_results.json || true 2025-08-14T21:35:23.4328092Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:23.4328241Z env: 2025-08-14T21:35:23.4328335Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:23.4328471Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:23.4328644Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:23.4328808Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:23.4329191Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:23.4329570Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:23.4329796Z AWS_REGION: us-east-1 2025-08-14T21:35:23.4330105Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:23.4330253Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:23.4332305Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:23.4332407Z ##[endgroup] 2025-08-14T21:35:23.4377308Z mv: cannot stat 'td_results.json': No such file or directory 2025-08-14T21:35:23.4394962Z ##[group]Run .github/scripts/parse_ref.py 2025-08-14T21:35:23.4395135Z .github/scripts/parse_ref.py 2025-08-14T21:35:23.4403015Z shell: /usr/bin/bash -e {0} 2025-08-14T21:35:23.4403129Z env: 2025-08-14T21:35:23.4403227Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:23.4403369Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:23.4403550Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:23.4403718Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:23.4404102Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:23.4404486Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:23.4404605Z AWS_REGION: us-east-1 2025-08-14T21:35:23.4404769Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:23.4404950Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:23.4407223Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:23.4407332Z ##[endgroup] 2025-08-14T21:35:23.4517270Z Setting output branch=main 2025-08-14T21:35:23.4579526Z Prepare all required actions 2025-08-14T21:35:23.4579732Z Getting action download info 2025-08-14T21:35:23.5832446Z ##[group]Run ./.github/actions/filter-test-configs 2025-08-14T21:35:23.5832581Z with: 2025-08-14T21:35:23.5832796Z github-token: *** 2025-08-14T21:35:23.5834472Z 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"}]} 2025-08-14T21:35:23.5836359Z job-name: rocm-py3_10-periodic-dynamo-benchmarks / test (dynamo_eager_torchbench, 1, 2, linux.rocm.gpu.gfx942.1) 2025-08-14T21:35:23.5836688Z env: 2025-08-14T21:35:23.5836777Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:23.5836911Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:23.5837082Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:23.5837243Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:23.5837620Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:23.5838087Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:23.5838196Z AWS_REGION: us-east-1 2025-08-14T21:35:23.5838314Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:23.5838457Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:23.5840536Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:23.5840634Z ##[endgroup] 2025-08-14T21:35:23.5863949Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-14T21:35:23.5864067Z with: 2025-08-14T21:35:23.5864153Z shell: bash 2025-08-14T21:35:23.5864241Z timeout_minutes: 10 2025-08-14T21:35:23.5866180Z max_attempts: 5 2025-08-14T21:35:23.5866280Z retry_wait_seconds: 30 2025-08-14T21:35:23.5866697Z 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 2025-08-14T21:35:23.5866989Z polling_interval_seconds: 1 2025-08-14T21:35:23.5867101Z warning_on_retry: true 2025-08-14T21:35:23.5867201Z continue_on_error: false 2025-08-14T21:35:23.5867302Z env: 2025-08-14T21:35:23.5867386Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:23.5867514Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:23.5867686Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:23.5867846Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:23.5870008Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:23.5870374Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:23.5870485Z AWS_REGION: us-east-1 2025-08-14T21:35:23.5870615Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:23.5870760Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:23.5872735Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:23.5872883Z GITHUB_TOKEN: *** 2025-08-14T21:35:23.5872977Z ##[endgroup] 2025-08-14T21:35:23.6272390Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-08-14T21:35:23.7775843Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T21:35:23.9500956Z Collecting requests==2.27.1 2025-08-14T21:35:24.0514920Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-08-14T21:35:24.0917470Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 63.1/63.1 KB 1.4 MB/s eta 0:00:00 2025-08-14T21:35:24.1730324Z Collecting pyyaml==6.0.2 2025-08-14T21:35:24.1996129Z Downloading PyYAML-6.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (751 kB) 2025-08-14T21:35:24.2766880Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 751.2/751.2 KB 9.8 MB/s eta 0:00:00 2025-08-14T21:35:24.3192104Z Collecting certifi>=2017.4.17 2025-08-14T21:35:24.3453345Z Downloading certifi-2025.8.3-py3-none-any.whl (161 kB) 2025-08-14T21:35:24.3491813Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 161.2/161.2 KB 50.3 MB/s eta 0:00:00 2025-08-14T21:35:24.3815762Z Collecting idna<4,>=2.5 2025-08-14T21:35:24.4074006Z Downloading idna-3.10-py3-none-any.whl (70 kB) 2025-08-14T21:35:24.4100899Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 70.4/70.4 KB 33.4 MB/s eta 0:00:00 2025-08-14T21:35:24.4577077Z Collecting urllib3<1.27,>=1.21.1 2025-08-14T21:35:24.4838245Z Downloading urllib3-1.26.20-py2.py3-none-any.whl (144 kB) 2025-08-14T21:35:24.4876128Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 144.2/144.2 KB 47.6 MB/s eta 0:00:00 2025-08-14T21:35:24.6233348Z Collecting charset-normalizer~=2.0.0 2025-08-14T21:35:24.6489579Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-08-14T21:35:24.7058703Z Installing collected packages: urllib3, pyyaml, idna, charset-normalizer, certifi, requests 2025-08-14T21:35:24.8031506Z WARNING: The script normalizer is installed in '/home/runner/.local/bin' which is not on PATH. 2025-08-14T21:35:24.8032392Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-08-14T21:35:24.8239740Z 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 2025-08-14T21:35:25.6287964Z Command completed after 1 attempt(s). 2025-08-14T21:35:25.6379427Z ##[group]Run set -x 2025-08-14T21:35:25.6379578Z set -x 2025-08-14T21:35:25.6379685Z  2025-08-14T21:35:25.6379854Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-08-14T21:35:25.6380058Z # in runner workspace 2025-08-14T21:35:25.6380216Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-08-14T21:35:25.6385328Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:25.6385471Z env: 2025-08-14T21:35:25.6385559Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:25.6385698Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:25.6385879Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:25.6386059Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:25.6388221Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:25.6388583Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:25.6388692Z AWS_REGION: us-east-1 2025-08-14T21:35:25.6388840Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:25.6389131Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:25.6391090Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:25.6391189Z ##[endgroup] 2025-08-14T21:35:25.6416679Z + python3 /home/runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-08-14T21:35:25.6501347Z Setting output branch=main 2025-08-14T21:35:25.6545335Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-08-14T21:35:25.6547426Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-08-14T21:35:25.6547569Z echo "Job name: ${JOB_NAME}" 2025-08-14T21:35:25.6547680Z  2025-08-14T21:35:25.6547825Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-08-14T21:35:25.6547999Z # in runner workspace 2025-08-14T21:35:25.6548157Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-08-14T21:35:25.6548331Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-08-14T21:35:25.6548461Z  --job-name "${JOB_NAME}" \ 2025-08-14T21:35:25.6550123Z  --test-matrix "{"include": [{"config": "dynamo_eager_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamo_eager_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamo_eager_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamo_eager_timm", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamo_eager_timm", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "aot_eager_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "aot_eager_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "aot_eager_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "aot_eager_timm", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "aot_eager_timm", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamic_aot_eager_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamic_aot_eager_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamic_aot_eager_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamic_aot_eager_timm", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamic_aot_eager_timm", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}]}" \ 2025-08-14T21:35:25.6552043Z  --selected-test-configs "" \ 2025-08-14T21:35:25.6553728Z  --pr-number "${PR_NUMBER}" \ 2025-08-14T21:35:25.6553848Z  --tag "${TAG}" \ 2025-08-14T21:35:25.6553960Z  --event-name "${EVENT_NAME}" \ 2025-08-14T21:35:25.6554082Z  --schedule "${SCHEDULE}" \ 2025-08-14T21:35:25.6554200Z  --branch "${HEAD_BRANCH}" 2025-08-14T21:35:25.6559742Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:25.6559989Z env: 2025-08-14T21:35:25.6560081Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:25.6560209Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:25.6562037Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:25.6562208Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:25.6562586Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:25.6562946Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:25.6563054Z AWS_REGION: us-east-1 2025-08-14T21:35:25.6563213Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:25.6563360Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:25.6565315Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:25.6565726Z GITHUB_TOKEN: *** 2025-08-14T21:35:25.6565928Z JOB_NAME: rocm-py3_10-periodic-dynamo-benchmarks / test (dynamo_eager_torchbench, 1, 2, linux.rocm.gpu.gfx942.1) 2025-08-14T21:35:25.6566142Z PR_NUMBER: 2025-08-14T21:35:25.6566225Z TAG: 2025-08-14T21:35:25.6566310Z EVENT_NAME: schedule 2025-08-14T21:35:25.6568115Z SCHEDULE: 45 0,4,8,12,16,20 * * 1-5 2025-08-14T21:35:25.6568233Z HEAD_BRANCH: main 2025-08-14T21:35:25.6568325Z ##[endgroup] 2025-08-14T21:35:25.6592739Z Workflow: inductor-periodic 2025-08-14T21:35:25.6600356Z Job name: rocm-py3_10-periodic-dynamo-benchmarks / test (dynamo_eager_torchbench, 1, 2, linux.rocm.gpu.gfx942.1) 2025-08-14T21:35:25.8981692Z Setting output keep-going=True 2025-08-14T21:35:25.8981899Z Setting output ci-verbose-test-logs=False 2025-08-14T21:35:25.8982070Z Setting output ci-test-showlocals=False 2025-08-14T21:35:25.8982225Z Setting output ci-no-test-timeout=False 2025-08-14T21:35:25.8984870Z Setting output ci-no-td=False 2025-08-14T21:35:25.8985100Z Setting output ci-td-distributed=False 2025-08-14T21:35:25.8986283Z Setting output is-unstable=False 2025-08-14T21:35:25.8986688Z Setting output reenabled-issues= 2025-08-14T21:35:25.8988488Z Setting output test-matrix={"include": [{"config": "dynamo_eager_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamo_eager_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamo_eager_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamo_eager_timm", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamo_eager_timm", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "aot_eager_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "aot_eager_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "aot_eager_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "aot_eager_timm", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "aot_eager_timm", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamic_aot_eager_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamic_aot_eager_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamic_aot_eager_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamic_aot_eager_timm", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamic_aot_eager_timm", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}]} 2025-08-14T21:35:25.8990745Z Setting output is-test-matrix-empty=False 2025-08-14T21:35:25.9101742Z ##[group]Run echo "Filtered matrix:" 2025-08-14T21:35:25.9101919Z echo "Filtered matrix:" 2025-08-14T21:35:25.9103741Z echo "{"include": [{"config": "dynamo_eager_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamo_eager_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamo_eager_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamo_eager_timm", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamo_eager_timm", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "aot_eager_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "aot_eager_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "aot_eager_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "aot_eager_timm", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "aot_eager_timm", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamic_aot_eager_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamic_aot_eager_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamic_aot_eager_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamic_aot_eager_timm", "shard": 1, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}, {"config": "dynamic_aot_eager_timm", "shard": 2, "num_shards": 2, "runner": "linux.rocm.gpu.gfx942.1"}]}" 2025-08-14T21:35:25.9105488Z  2025-08-14T21:35:25.9105576Z echo 2025-08-14T21:35:25.9105691Z echo "Is the current job unstable? False" 2025-08-14T21:35:25.9105827Z  2025-08-14T21:35:25.9105912Z echo 2025-08-14T21:35:25.9106016Z echo "Is keep-going label set? True" 2025-08-14T21:35:25.9106137Z  2025-08-14T21:35:25.9106218Z echo 2025-08-14T21:35:25.9106313Z echo "Reenabled issues? " 2025-08-14T21:35:25.9111988Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:25.9114413Z env: 2025-08-14T21:35:25.9114509Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:25.9114641Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:25.9114810Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:25.9114967Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:25.9115348Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:25.9115709Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:25.9115818Z AWS_REGION: us-east-1 2025-08-14T21:35:25.9115983Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:25.9116131Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:25.9118294Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:25.9120077Z ##[endgroup] 2025-08-14T21:35:25.9147861Z Filtered matrix: 2025-08-14T21:35:25.9150302Z {include: [{config: dynamo_eager_torchbench, shard: 1, num_shards: 2, runner: linux.rocm.gpu.gfx942.1}, {config: dynamo_eager_torchbench, shard: 2, num_shards: 2, runner: linux.rocm.gpu.gfx942.1}, {config: dynamo_eager_huggingface, shard: 1, num_shards: 1, runner: linux.rocm.gpu.gfx942.1}, {config: dynamo_eager_timm, shard: 1, num_shards: 2, runner: linux.rocm.gpu.gfx942.1}, {config: dynamo_eager_timm, shard: 2, num_shards: 2, runner: linux.rocm.gpu.gfx942.1}, {config: aot_eager_torchbench, shard: 1, num_shards: 2, runner: linux.rocm.gpu.gfx942.1}, {config: aot_eager_torchbench, shard: 2, num_shards: 2, runner: linux.rocm.gpu.gfx942.1}, {config: aot_eager_huggingface, shard: 1, num_shards: 1, runner: linux.rocm.gpu.gfx942.1}, {config: aot_eager_timm, shard: 1, num_shards: 2, runner: linux.rocm.gpu.gfx942.1}, {config: aot_eager_timm, shard: 2, num_shards: 2, runner: linux.rocm.gpu.gfx942.1}, {config: dynamic_aot_eager_torchbench, shard: 1, num_shards: 2, runner: linux.rocm.gpu.gfx942.1}, {config: dynamic_aot_eager_torchbench, shard: 2, num_shards: 2, runner: linux.rocm.gpu.gfx942.1}, {config: dynamic_aot_eager_huggingface, shard: 1, num_shards: 1, runner: linux.rocm.gpu.gfx942.1}, {config: dynamic_aot_eager_timm, shard: 1, num_shards: 2, runner: linux.rocm.gpu.gfx942.1}, {config: dynamic_aot_eager_timm, shard: 2, num_shards: 2, runner: linux.rocm.gpu.gfx942.1}]} 2025-08-14T21:35:25.9158825Z 2025-08-14T21:35:25.9158899Z Is the current job unstable? False 2025-08-14T21:35:25.9159015Z 2025-08-14T21:35:25.9159082Z Is keep-going label set? True 2025-08-14T21:35:25.9159176Z 2025-08-14T21:35:25.9159224Z Reenabled issues? 2025-08-14T21:35:25.9186996Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-08-14T21:35:25.9187219Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-08-14T21:35:25.9192585Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:25.9192739Z env: 2025-08-14T21:35:25.9196171Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:25.9196307Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:25.9196584Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:25.9196744Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:25.9197120Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:25.9197491Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:25.9197600Z AWS_REGION: us-east-1 2025-08-14T21:35:25.9197780Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:25.9197927Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:25.9199965Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:25.9202034Z JOB_TIMEOUT: 300 2025-08-14T21:35:25.9202130Z ##[endgroup] 2025-08-14T21:35:25.9260373Z ##[group]Run set -x 2025-08-14T21:35:25.9260506Z set -x 2025-08-14T21:35:25.9260593Z  2025-08-14T21:35:25.9260693Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-08-14T21:35:25.9260847Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-08-14T21:35:25.9260995Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-08-14T21:35:25.9261131Z  TEST_COMMAND=.ci/caffe2/test.sh 2025-08-14T21:35:25.9261245Z else 2025-08-14T21:35:25.9261344Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-08-14T21:35:25.9263222Z fi 2025-08-14T21:35:25.9263325Z  2025-08-14T21:35:25.9263453Z # detached container should get cleaned up by teardown_ec2_linux 2025-08-14T21:35:25.9263649Z # TODO: Stop building test binaries as part of the build phase 2025-08-14T21:35:25.9263821Z # Used for GPU_FLAG since that doesn't play nice 2025-08-14T21:35:25.9263988Z # shellcheck disable=SC2086,SC2090 2025-08-14T21:35:25.9264112Z container_name=$(docker run \ 2025-08-14T21:35:25.9264232Z  ${GPU_FLAG:-} \ 2025-08-14T21:35:25.9264340Z  -e BUILD_ENVIRONMENT \ 2025-08-14T21:35:25.9264451Z  -e PR_NUMBER \ 2025-08-14T21:35:25.9264555Z  -e GITHUB_ACTIONS \ 2025-08-14T21:35:25.9264666Z  -e GITHUB_REPOSITORY \ 2025-08-14T21:35:25.9264778Z  -e GITHUB_WORKFLOW \ 2025-08-14T21:35:25.9264888Z  -e GITHUB_JOB \ 2025-08-14T21:35:25.9264995Z  -e GITHUB_RUN_ID \ 2025-08-14T21:35:25.9265105Z  -e GITHUB_RUN_NUMBER \ 2025-08-14T21:35:25.9265380Z  -e GITHUB_RUN_ATTEMPT \ 2025-08-14T21:35:25.9265493Z  -e JOB_ID \ 2025-08-14T21:35:25.9265591Z  -e JOB_NAME \ 2025-08-14T21:35:25.9265696Z  -e BRANCH \ 2025-08-14T21:35:25.9265792Z  -e SHA1 \ 2025-08-14T21:35:25.9265892Z  -e AWS_DEFAULT_REGION \ 2025-08-14T21:35:25.9266007Z  -e IN_WHEEL_TEST \ 2025-08-14T21:35:25.9267791Z  -e SHARD_NUMBER \ 2025-08-14T21:35:25.9267898Z  -e TEST_CONFIG \ 2025-08-14T21:35:25.9268003Z  -e NUM_TEST_SHARDS \ 2025-08-14T21:35:25.9268111Z  -e REENABLED_ISSUES \ 2025-08-14T21:35:25.9268226Z  -e CONTINUE_THROUGH_ERROR \ 2025-08-14T21:35:25.9268343Z  -e VERBOSE_TEST_LOGS \ 2025-08-14T21:35:25.9268451Z  -e TEST_SHOWLOCALS \ 2025-08-14T21:35:25.9268556Z  -e NO_TEST_TIMEOUT \ 2025-08-14T21:35:25.9268660Z  -e NO_TD \ 2025-08-14T21:35:25.9268768Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-08-14T21:35:25.9268908Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-08-14T21:35:25.9270388Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-08-14T21:35:25.9270519Z  -e TESTS_TO_INCLUDE \ 2025-08-14T21:35:25.9270627Z  -e DASHBOARD_TAG \ 2025-08-14T21:35:25.9270765Z  --env-file="${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}" \ 2025-08-14T21:35:25.9270920Z  --ulimit stack=10485760:83886080 \ 2025-08-14T21:35:25.9271039Z  --ulimit core=0 \ 2025-08-14T21:35:25.9271154Z  --security-opt seccomp=unconfined \ 2025-08-14T21:35:25.9271279Z  --cap-add=SYS_PTRACE \ 2025-08-14T21:35:25.9271388Z  --shm-size="8g" \ 2025-08-14T21:35:25.9271488Z  --tty \ 2025-08-14T21:35:25.9271578Z  --detach \ 2025-08-14T21:35:25.9272970Z  --name="${container_name}" \ 2025-08-14T21:35:25.9273089Z  --user jenkins \ 2025-08-14T21:35:25.9273227Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-08-14T21:35:25.9273376Z  -w /var/lib/jenkins/workspace \ 2025-08-14T21:35:25.9273490Z  "${DOCKER_IMAGE}" 2025-08-14T21:35:25.9273587Z ) 2025-08-14T21:35:25.9273683Z # save container name for later step 2025-08-14T21:35:25.9273923Z echo "CONTAINER_NAME=${container_name}" >> "$GITHUB_ENV" 2025-08-14T21:35:25.9274182Z # jenkins user does not have write permission to mounted workspace; work-around by copying within container to jenkins home 2025-08-14T21:35:25.9274516Z docker exec -t "${container_name}" sh -c "cd .. && cp -R workspace pytorch && cd pytorch && pip install dist/*.whl && ${TEST_COMMAND}" 2025-08-14T21:35:25.9280261Z shell: /usr/bin/bash -e {0} 2025-08-14T21:35:25.9280366Z env: 2025-08-14T21:35:25.9280452Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:25.9280579Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T21:35:25.9280758Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T21:35:25.9280915Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T21:35:25.9281297Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T21:35:25.9281655Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:35:25.9281764Z AWS_REGION: us-east-1 2025-08-14T21:35:25.9281888Z AWS_ACCESS_KEY_ID: *** 2025-08-14T21:35:25.9283479Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T21:35:25.9285456Z AWS_SESSION_TOKEN: *** 2025-08-14T21:35:25.9285571Z BUILD_ENVIRONMENT: linux-jammy-rocm-py3_10 2025-08-14T21:35:25.9285692Z PR_NUMBER: 2025-08-14T21:35:25.9285787Z GITHUB_REPOSITORY: pytorch/pytorch 2025-08-14T21:35:25.9285908Z GITHUB_WORKFLOW: inductor-periodic 2025-08-14T21:35:25.9286019Z GITHUB_JOB: test 2025-08-14T21:35:25.9286111Z GITHUB_RUN_ID: 16976338999 2025-08-14T21:35:25.9286292Z GITHUB_RUN_NUMBER: 66307 2025-08-14T21:35:25.9286393Z GITHUB_RUN_ATTEMPT: 1 2025-08-14T21:35:25.9286574Z JOB_ID: 48128598953 2025-08-14T21:35:25.9288137Z JOB_NAME: rocm-py3_10-periodic-dynamo-benchmarks / test (dynamo_eager_torchbench, 1, 2, linux.rocm.gpu.gfx942.1) 2025-08-14T21:35:25.9288354Z BRANCH: main 2025-08-14T21:35:25.9288459Z SHA1: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:25.9288587Z CONTINUE_THROUGH_ERROR: True 2025-08-14T21:35:25.9288694Z VERBOSE_TEST_LOGS: False 2025-08-14T21:35:25.9288793Z TEST_SHOWLOCALS: False 2025-08-14T21:35:25.9288890Z NO_TEST_TIMEOUT: False 2025-08-14T21:35:25.9288984Z NO_TD: False 2025-08-14T21:35:25.9289075Z TEST_CONFIG: dynamo_eager_torchbench 2025-08-14T21:35:25.9289184Z SHARD_NUMBER: 1 2025-08-14T21:35:25.9289270Z NUM_TEST_SHARDS: 2 2025-08-14T21:35:25.9290669Z REENABLED_ISSUES: 2025-08-14T21:35:25.9290963Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:35:25.9291278Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-08-14T21:35:25.9291398Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-08-14T21:35:25.9291509Z TESTS_TO_INCLUDE: 2025-08-14T21:35:25.9291598Z DASHBOARD_TAG: 2025-08-14T21:35:25.9291685Z ##[endgroup] 2025-08-14T21:35:25.9308598Z + [[ dynamo_eager_torchbench == \m\u\l\t\i\g\p\u ]] 2025-08-14T21:35:25.9308767Z + [[ linux-jammy-rocm-py3_10 == *onnx* ]] 2025-08-14T21:35:25.9308903Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-08-14T21:35:25.9318947Z +++ nproc --ignore=2 2025-08-14T21:35:25.9331201Z ++ docker run --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --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 2025-08-14T21:35:27.0618585Z + container_name=cbf3b0a8abdf2aaef99252863c1a7b7664de3443159bc42c194375d78ba5c23d 2025-08-14T21:35:27.0619142Z + echo CONTAINER_NAME=cbf3b0a8abdf2aaef99252863c1a7b7664de3443159bc42c194375d78ba5c23d 2025-08-14T21:35:27.0628247Z + docker exec -t cbf3b0a8abdf2aaef99252863c1a7b7664de3443159bc42c194375d78ba5c23d sh -c 'cd .. && cp -R workspace pytorch && cd pytorch && pip install dist/*.whl && .ci/pytorch/test.sh' 2025-08-14T21:35:31.7655662Z Processing ./dist/torch-2.9.0a0+git1fc683c-cp310-cp310-linux_x86_64.whl 2025-08-14T21:35:32.3236809Z 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) 2025-08-14T21:35:32.3238037Z 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) 2025-08-14T21:35:32.3239142Z 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) 2025-08-14T21:35:32.3240276Z 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) 2025-08-14T21:35:32.3241734Z 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) 2025-08-14T21:35:32.3242737Z 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) 2025-08-14T21:35:32.3413568Z 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) 2025-08-14T21:35:32.3427657Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch==2.9.0a0+git1fc683c) (3.0.2) 2025-08-14T21:35:32.7641153Z Installing collected packages: torch 2025-08-14T21:35:38.4625922Z 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. 2025-08-14T21:35:38.4627201Z dall-e 0.1 requires torchvision, which is not installed. 2025-08-14T21:35:38.4627585Z effdet 0.4.1 requires torchvision, which is not installed. 2025-08-14T21:35:38.4627973Z helion 0.1.0 requires filecheck, which is not installed. 2025-08-14T21:35:38.4639578Z python-doctr 1.0.0 requires torchvision>=0.15.0, which is not installed. 2025-08-14T21:35:38.4640091Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-08-14T21:35:38.4640592Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-08-14T21:35:38.4641101Z timm 1.0.14 requires torchvision, which is not installed. 2025-08-14T21:35:38.4641430Z Successfully installed torch-2.9.0a0+git1fc683c 2025-08-14T21:35:38.5201301Z + export TERM=vt100 2025-08-14T21:35:38.5201649Z + TERM=vt100 2025-08-14T21:35:38.5205594Z ++ dirname .ci/pytorch/test.sh 2025-08-14T21:35:38.5216925Z + source .ci/pytorch/common.sh 2025-08-14T21:35:38.5223489Z +++ dirname .ci/pytorch/common.sh 2025-08-14T21:35:38.5234479Z ++ source .ci/pytorch/common_utils.sh 2025-08-14T21:35:38.5235092Z +++ declare -f -t trap_add 2025-08-14T21:35:38.5239567Z ++ set -ex -o pipefail 2025-08-14T21:35:38.5239870Z ++ [[ linux-jammy-rocm-py3_10 == *rocm* ]] 2025-08-14T21:35:38.5240097Z ++ unset HIP_PLATFORM 2025-08-14T21:35:38.5240770Z ++ export PYTORCH_TEST_WITH_ROCM=1 2025-08-14T21:35:38.5240993Z ++ PYTORCH_TEST_WITH_ROCM=1 2025-08-14T21:35:38.5241196Z ++ BUILD_TEST_LIBTORCH=0 2025-08-14T21:35:38.5243553Z ++ dirname .ci/pytorch/test.sh 2025-08-14T21:35:38.5248190Z + source .ci/pytorch/common-build.sh 2025-08-14T21:35:38.5250440Z ++ [[ linux-jammy-rocm-py3_10 != *win-* ]] 2025-08-14T21:35:38.5255804Z ++++ dirname .ci/pytorch/common-build.sh 2025-08-14T21:35:38.5263663Z +++ cd .ci/pytorch 2025-08-14T21:35:38.5263961Z +++ pwd -P 2025-08-14T21:35:38.5265476Z ++ script_dir=/var/lib/jenkins/pytorch/.ci/pytorch 2025-08-14T21:35:38.5265743Z ++ [[ linux-jammy-rocm-py3_10 == *-pch* ]] 2025-08-14T21:35:38.5272378Z ++ which sccache 2025-08-14T21:35:38.5283728Z ++ [[ -z '' ]] 2025-08-14T21:35:38.5284078Z ++ unset SCCACHE_BUCKET 2025-08-14T21:35:38.5284230Z ++ unset SCCACHE_REGION 2025-08-14T21:35:38.5284361Z ++ sccache --stop-server 2025-08-14T21:35:38.5301865Z ++ true 2025-08-14T21:35:38.5302150Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-08-14T21:35:38.5317169Z ++ trap_add sccache_epilogue EXIT 2025-08-14T21:35:38.5317318Z ++ trap_add_cmd=sccache_epilogue 2025-08-14T21:35:38.5317441Z ++ shift 2025-08-14T21:35:38.5319396Z ++ for trap_add_name in "$@" 2025-08-14T21:35:38.5325474Z ++++ trap -p EXIT 2025-08-14T21:35:38.5328673Z +++ eval 'extract_trap_cmd ' 2025-08-14T21:35:38.5328924Z ++++ extract_trap_cmd 2025-08-14T21:35:38.5329045Z ++++ printf '%s\n' '' 2025-08-14T21:35:38.5329179Z +++ printf '%s\n' sccache_epilogue 2025-08-14T21:35:38.5331261Z ++ trap -- ' 2025-08-14T21:35:38.5331504Z sccache_epilogue' EXIT 2025-08-14T21:35:38.5331620Z ++ [[ -n '' ]] 2025-08-14T21:35:38.5331733Z ++ [[ linux-jammy-rocm-py3_10 == *rocm* ]] 2025-08-14T21:35:38.5332068Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:35:38.5333816Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:35:38.5333932Z ++ sccache --start-server 2025-08-14T21:35:38.5348009Z sccache: Starting the server... 2025-08-14T21:35:38.5645471Z sccache: Listening on address 127.0.0.1:4226 2025-08-14T21:35:38.5655039Z ++ sccache --zero-stats 2025-08-14T21:35:38.5674859Z Statistics zeroed. 2025-08-14T21:35:38.5676065Z ++ which ccache 2025-08-14T21:35:38.5688759Z + [[ linux-jammy-rocm-py3_10 != *rocm* ]] 2025-08-14T21:35:38.5688906Z + echo 'Environment variables:' 2025-08-14T21:35:38.5689035Z Environment variables: 2025-08-14T21:35:38.5691171Z + env 2025-08-14T21:35:38.5695344Z GITHUB_WORKSPACE=/home/runner/_work/pytorch/pytorch 2025-08-14T21:35:38.5696710Z CONTINUE_THROUGH_ERROR=True 2025-08-14T21:35:38.5696951Z BUILD_ENVIRONMENT=linux-jammy-rocm-py3_10 2025-08-14T21:35:38.5697126Z HOSTNAME=linux.rocm.gpu.gfx942.1-ccq8d-runner-g6tlr 2025-08-14T21:35:38.5697420Z GITHUB_PATH=/home/runner/_work/_temp/_runner_file_commands/add_path_7e7471e6-d2f7-4cee-91af-46e603747207 2025-08-14T21:35:38.5697631Z GITHUB_ACTION=__self 2025-08-14T21:35:38.5697746Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-08-14T21:35:38.5697865Z GITHUB_RUN_NUMBER=66307 2025-08-14T21:35:38.5697981Z TEST_CONFIG=dynamo_eager_torchbench 2025-08-14T21:35:38.5698132Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-08-14T21:35:38.5704240Z AWS_DEFAULT_REGION=us-east-1 2025-08-14T21:35:38.5704386Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-08-14T21:35:38.5704506Z GITHUB_REF_TYPE=branch 2025-08-14T21:35:38.5707506Z *** 2025-08-14T21:35:38.5707605Z GITHUB_REPOSITORY_ID=65600975 2025-08-14T21:35:38.5707716Z GITHUB_ACTIONS=true 2025-08-14T21:35:38.5707823Z SHA1=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:38.5707964Z GITHUB_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:38.5708183Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-periodic.yml@refs/heads/main 2025-08-14T21:35:38.5708394Z UCC_HOME=/usr 2025-08-14T21:35:38.5708496Z VERBOSE_TEST_LOGS=False 2025-08-14T21:35:38.5708609Z GITHUB_REF=refs/heads/main 2025-08-14T21:35:38.5708714Z SHARD_NUMBER=1 2025-08-14T21:35:38.5708813Z GITHUB_REF_PROTECTED=true 2025-08-14T21:35:38.5708921Z HOME=/var/lib/jenkins 2025-08-14T21:35:38.5711498Z GITHUB_API_URL=https://api.github.com 2025-08-14T21:35:38.5712089Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-08-14T21:35:38.5712201Z LANG=C.UTF-8 2025-08-14T21:35:38.5712309Z UCX_COMMIT=cc312eaa4655c0cc5c2bcd796db938f90563bcf6 2025-08-14T21:35:38.5712445Z PYTORCH_TEST_WITH_ROCM=1 2025-08-14T21:35:38.5712542Z NUM_TEST_SHARDS=2 2025-08-14T21:35:38.5712627Z UCX_HOME=/usr 2025-08-14T21:35:38.5712807Z GITHUB_STATE=/home/runner/_work/_temp/_runner_file_commands/save_state_7e7471e6-d2f7-4cee-91af-46e603747207 2025-08-14T21:35:38.5713117Z JOB_NAME=rocm-py3_10-periodic-dynamo-benchmarks / test (dynamo_eager_torchbench, 1, 2, linux.rocm.gpu.gfx942.1) 2025-08-14T21:35:38.5713334Z MAGMA_HOME=/opt/rocm/magma 2025-08-14T21:35:38.5713527Z GITHUB_ENV=/home/runner/_work/_temp/_runner_file_commands/set_env_7e7471e6-d2f7-4cee-91af-46e603747207 2025-08-14T21:35:38.5713766Z GITHUB_EVENT_PATH=/home/runner/_work/_temp/_github_workflow/event.json 2025-08-14T21:35:38.5713923Z GITHUB_EVENT_NAME=schedule 2025-08-14T21:35:38.5715658Z GITHUB_ACTIONS_RUNNER_EXTRA_USER_AGENT=actions-runner-controller/0.11.0 2025-08-14T21:35:38.5715825Z DASHBOARD_TAG= 2025-08-14T21:35:38.5715916Z GITHUB_RUN_ID=16976338999 2025-08-14T21:35:38.5716121Z GITHUB_STEP_SUMMARY=/home/runner/_work/_temp/_runner_file_commands/step_summary_7e7471e6-d2f7-4cee-91af-46e603747207 2025-08-14T21:35:38.5716339Z GITHUB_ACTOR=pytorchmergebot 2025-08-14T21:35:38.5716693Z PR_NUMBER= 2025-08-14T21:35:38.5716834Z GITHUB_RUN_ATTEMPT=1 2025-08-14T21:35:38.5716936Z ANACONDA_PYTHON_VERSION=3.10 2025-08-14T21:35:38.5717065Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-08-14T21:35:38.5717191Z TERM=vt100 2025-08-14T21:35:38.5717275Z INSTALLED_VISION=yes 2025-08-14T21:35:38.5717550Z BRANCH=main 2025-08-14T21:35:38.5717638Z OPENSSL_ROOT_DIR=/opt/openssl 2025-08-14T21:35:38.5717743Z TESTS_TO_INCLUDE= 2025-08-14T21:35:38.5717895Z GITHUB_ACTION_PATH=/home/runner/_work/pytorch/pytorch/./.github/actions/setup-rocm 2025-08-14T21:35:38.5718080Z GITHUB_SERVER_URL=https://github.com 2025-08-14T21:35:38.5719695Z PYTORCH_ROCM_ARCH=gfx90a;gfx942 2025-08-14T21:35:38.5719960Z UCC_COMMIT=0c0fc21559835044ab107199e334f7157d6a0d3d 2025-08-14T21:35:38.5720086Z REENABLED_ISSUES= 2025-08-14T21:35:38.5720174Z SHLVL=1 2025-08-14T21:35:38.5720254Z MAX_JOBS=158 2025-08-14T21:35:38.5720340Z GITHUB_ACTOR_ID=97764156 2025-08-14T21:35:38.5720471Z GITHUB_WORKFLOW_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:38.5720613Z GITHUB_REF_NAME=main 2025-08-14T21:35:38.5720705Z ROCM_PATH=/opt/rocm 2025-08-14T21:35:38.5720793Z GITHUB_JOB=test 2025-08-14T21:35:38.5720882Z NO_TEST_TIMEOUT=False 2025-08-14T21:35:38.5720986Z GITHUB_REPOSITORY=pytorch/pytorch 2025-08-14T21:35:38.5721103Z LC_ALL=C.UTF-8 2025-08-14T21:35:38.5721191Z GITHUB_RETENTION_DAYS=90 2025-08-14T21:35:38.5721290Z OPENSSL_DIR=/opt/openssl 2025-08-14T21:35:38.5722773Z GITHUB_ACTION_REPOSITORY= 2025-08-14T21:35:38.5723162Z 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 2025-08-14T21:35:38.5723508Z GITHUB_BASE_REF= 2025-08-14T21:35:38.5723595Z CI=true 2025-08-14T21:35:38.5723684Z GITHUB_REPOSITORY_OWNER=pytorch 2025-08-14T21:35:38.5723789Z JOB_ID=48128598953 2025-08-14T21:35:38.5723875Z GITHUB_HEAD_REF= 2025-08-14T21:35:38.5723958Z GITHUB_ACTION_REF= 2025-08-14T21:35:38.5724050Z TEST_SHOWLOCALS=False 2025-08-14T21:35:38.5724154Z GITHUB_WORKFLOW=inductor-periodic 2025-08-14T21:35:38.5724271Z DEBIAN_FRONTEND=noninteractive 2025-08-14T21:35:38.5724470Z GITHUB_OUTPUT=/home/runner/_work/_temp/_runner_file_commands/set_output_7e7471e6-d2f7-4cee-91af-46e603747207 2025-08-14T21:35:38.5724677Z NO_TD=False 2025-08-14T21:35:38.5724762Z OLDPWD=/var/lib/jenkins 2025-08-14T21:35:38.5724854Z _=/usr/bin/env 2025-08-14T21:35:38.5724979Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-08-14T21:35:38.5823096Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch 2025-08-14T21:35:38.5825343Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-08-14T21:35:38.5825575Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib 2025-08-14T21:35:38.5825786Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test 2025-08-14T21:35:38.5825947Z + BUILD_DIR=build 2025-08-14T21:35:38.5826045Z + BUILD_RENAMED_DIR=build_renamed 2025-08-14T21:35:38.5826156Z + BUILD_BIN_DIR=build/bin 2025-08-14T21:35:38.5826252Z + SHARD_NUMBER=1 2025-08-14T21:35:38.5826340Z + NUM_TEST_SHARDS=2 2025-08-14T21:35:38.5826548Z + export TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:35:38.5826665Z + TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:35:38.5826774Z + export VALGRIND=ON 2025-08-14T21:35:38.5826868Z + VALGRIND=ON 2025-08-14T21:35:38.5826982Z + [[ linux-jammy-rocm-py3_10 == *clang9* ]] 2025-08-14T21:35:38.5827110Z + [[ linux-jammy-rocm-py3_10 == *xpu* ]] 2025-08-14T21:35:38.5827236Z + [[ linux-jammy-rocm-py3_10 == *s390x* ]] 2025-08-14T21:35:38.5827351Z + [[ 0 == \1 ]] 2025-08-14T21:35:38.5827444Z + [[ True == \1 ]] 2025-08-14T21:35:38.5827551Z + [[ linux-jammy-rocm-py3_10 != *bazel* ]] 2025-08-14T21:35:38.5829228Z ++ realpath build/custom_test_artifacts 2025-08-14T21:35:38.5833822Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/pytorch/build/custom_test_artifacts 2025-08-14T21:35:38.5834007Z + [[ -n '' ]] 2025-08-14T21:35:38.5834100Z + echo 'Environment variables' 2025-08-14T21:35:38.5834205Z Environment variables 2025-08-14T21:35:38.5834297Z + env 2025-08-14T21:35:38.5839239Z GITHUB_WORKSPACE=/home/runner/_work/pytorch/pytorch 2025-08-14T21:35:38.5839385Z CONTINUE_THROUGH_ERROR=True 2025-08-14T21:35:38.5840856Z BUILD_ENVIRONMENT=linux-jammy-rocm-py3_10 2025-08-14T21:35:38.5841136Z HOSTNAME=linux.rocm.gpu.gfx942.1-ccq8d-runner-g6tlr 2025-08-14T21:35:38.5841396Z GITHUB_PATH=/home/runner/_work/_temp/_runner_file_commands/add_path_7e7471e6-d2f7-4cee-91af-46e603747207 2025-08-14T21:35:38.5841607Z GITHUB_ACTION=__self 2025-08-14T21:35:38.5841728Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-08-14T21:35:38.5841909Z GITHUB_RUN_NUMBER=66307 2025-08-14T21:35:38.5842028Z TEST_CONFIG=dynamo_eager_torchbench 2025-08-14T21:35:38.5842164Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-08-14T21:35:38.5842291Z AWS_DEFAULT_REGION=us-east-1 2025-08-14T21:35:38.5842427Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-08-14T21:35:38.5848594Z GITHUB_REF_TYPE=branch 2025-08-14T21:35:38.5848875Z *** 2025-08-14T21:35:38.5848972Z GITHUB_REPOSITORY_ID=65600975 2025-08-14T21:35:38.5849091Z GITHUB_ACTIONS=true 2025-08-14T21:35:38.5849207Z SHA1=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:38.5849350Z GITHUB_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:38.5849587Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-periodic.yml@refs/heads/main 2025-08-14T21:35:38.5849785Z UCC_HOME=/usr 2025-08-14T21:35:38.5849885Z TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:35:38.5849998Z VERBOSE_TEST_LOGS=False 2025-08-14T21:35:38.5850106Z GITHUB_REF=refs/heads/main 2025-08-14T21:35:38.5850213Z SHARD_NUMBER=1 2025-08-14T21:35:38.5850311Z GITHUB_REF_PROTECTED=true 2025-08-14T21:35:38.5850410Z HOME=/var/lib/jenkins 2025-08-14T21:35:38.5850524Z GITHUB_API_URL=https://api.github.com 2025-08-14T21:35:38.5850651Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-08-14T21:35:38.5850759Z LANG=C.UTF-8 2025-08-14T21:35:38.5850865Z UCX_COMMIT=cc312eaa4655c0cc5c2bcd796db938f90563bcf6 2025-08-14T21:35:38.5850998Z PYTORCH_TEST_WITH_ROCM=1 2025-08-14T21:35:38.5851100Z NUM_TEST_SHARDS=2 2025-08-14T21:35:38.5851185Z UCX_HOME=/usr 2025-08-14T21:35:38.5851378Z GITHUB_STATE=/home/runner/_work/_temp/_runner_file_commands/save_state_7e7471e6-d2f7-4cee-91af-46e603747207 2025-08-14T21:35:38.5851701Z JOB_NAME=rocm-py3_10-periodic-dynamo-benchmarks / test (dynamo_eager_torchbench, 1, 2, linux.rocm.gpu.gfx942.1) 2025-08-14T21:35:38.5851931Z MAGMA_HOME=/opt/rocm/magma 2025-08-14T21:35:38.5852119Z GITHUB_ENV=/home/runner/_work/_temp/_runner_file_commands/set_env_7e7471e6-d2f7-4cee-91af-46e603747207 2025-08-14T21:35:38.5852710Z GITHUB_EVENT_PATH=/home/runner/_work/_temp/_github_workflow/event.json 2025-08-14T21:35:38.5852873Z GITHUB_EVENT_NAME=schedule 2025-08-14T21:35:38.5853033Z GITHUB_ACTIONS_RUNNER_EXTRA_USER_AGENT=actions-runner-controller/0.11.0 2025-08-14T21:35:38.5853192Z DASHBOARD_TAG= 2025-08-14T21:35:38.5853288Z GITHUB_RUN_ID=16976338999 2025-08-14T21:35:38.5853492Z GITHUB_STEP_SUMMARY=/home/runner/_work/_temp/_runner_file_commands/step_summary_7e7471e6-d2f7-4cee-91af-46e603747207 2025-08-14T21:35:38.5853717Z GITHUB_ACTOR=pytorchmergebot 2025-08-14T21:35:38.5853828Z PR_NUMBER= 2025-08-14T21:35:38.5853920Z GITHUB_RUN_ATTEMPT=1 2025-08-14T21:35:38.5855837Z VALGRIND=ON 2025-08-14T21:35:38.5855942Z ANACONDA_PYTHON_VERSION=3.10 2025-08-14T21:35:38.5856074Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-08-14T21:35:38.5856202Z TERM=vt100 2025-08-14T21:35:38.5856287Z INSTALLED_VISION=yes 2025-08-14T21:35:38.5856380Z BRANCH=main 2025-08-14T21:35:38.5856570Z OPENSSL_ROOT_DIR=/opt/openssl 2025-08-14T21:35:38.5856673Z TESTS_TO_INCLUDE= 2025-08-14T21:35:38.5856833Z GITHUB_ACTION_PATH=/home/runner/_work/pytorch/pytorch/./.github/actions/setup-rocm 2025-08-14T21:35:38.5857017Z GITHUB_SERVER_URL=https://github.com 2025-08-14T21:35:38.5857137Z PYTORCH_ROCM_ARCH=gfx90a;gfx942 2025-08-14T21:35:38.5858741Z UCC_COMMIT=0c0fc21559835044ab107199e334f7157d6a0d3d 2025-08-14T21:35:38.5858867Z REENABLED_ISSUES= 2025-08-14T21:35:38.5858956Z SHLVL=1 2025-08-14T21:35:38.5859035Z MAX_JOBS=158 2025-08-14T21:35:38.5859122Z GITHUB_ACTOR_ID=97764156 2025-08-14T21:35:38.5859253Z GITHUB_WORKFLOW_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:38.5859392Z GITHUB_REF_NAME=main 2025-08-14T21:35:38.5859614Z ROCM_PATH=/opt/rocm 2025-08-14T21:35:38.5859702Z GITHUB_JOB=test 2025-08-14T21:35:38.5859789Z NO_TEST_TIMEOUT=False 2025-08-14T21:35:38.5859892Z GITHUB_REPOSITORY=pytorch/pytorch 2025-08-14T21:35:38.5861001Z LC_ALL=C.UTF-8 2025-08-14T21:35:38.5861093Z GITHUB_RETENTION_DAYS=90 2025-08-14T21:35:38.5861192Z OPENSSL_DIR=/opt/openssl 2025-08-14T21:35:38.5861297Z GITHUB_ACTION_REPOSITORY= 2025-08-14T21:35:38.5861644Z 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 2025-08-14T21:35:38.5861986Z GITHUB_BASE_REF= 2025-08-14T21:35:38.5862069Z CI=true 2025-08-14T21:35:38.5862156Z GITHUB_REPOSITORY_OWNER=pytorch 2025-08-14T21:35:38.5862260Z JOB_ID=48128598953 2025-08-14T21:35:38.5862345Z GITHUB_HEAD_REF= 2025-08-14T21:35:38.5862429Z GITHUB_ACTION_REF= 2025-08-14T21:35:38.5863479Z TEST_SHOWLOCALS=False 2025-08-14T21:35:38.5863585Z GITHUB_WORKFLOW=inductor-periodic 2025-08-14T21:35:38.5863708Z DEBIAN_FRONTEND=noninteractive 2025-08-14T21:35:38.5863911Z GITHUB_OUTPUT=/home/runner/_work/_temp/_runner_file_commands/set_output_7e7471e6-d2f7-4cee-91af-46e603747207 2025-08-14T21:35:38.5864111Z NO_TD=False 2025-08-14T21:35:38.5864194Z OLDPWD=/var/lib/jenkins 2025-08-14T21:35:38.5864286Z _=/usr/bin/env 2025-08-14T21:35:38.5864387Z + echo 'Testing pytorch' 2025-08-14T21:35:38.5864484Z Testing pytorch 2025-08-14T21:35:38.5864573Z + export LANG=C.UTF-8 2025-08-14T21:35:38.5864663Z + LANG=C.UTF-8 2025-08-14T21:35:38.5865692Z + PR_NUMBER= 2025-08-14T21:35:38.5865794Z + [[ dynamo_eager_torchbench == \d\e\f\a\u\l\t ]] 2025-08-14T21:35:38.5865937Z + [[ dynamo_eager_torchbench == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-08-14T21:35:38.5866073Z + [[ dynamo_eager_torchbench == \s\l\o\w ]] 2025-08-14T21:35:38.5866207Z + [[ linux-jammy-rocm-py3_10 == *slow-gradcheck* ]] 2025-08-14T21:35:38.5866342Z + [[ linux-jammy-rocm-py3_10 == *cuda* ]] 2025-08-14T21:35:38.5866547Z + [[ linux-jammy-rocm-py3_10 == *rocm* ]] 2025-08-14T21:35:38.5866678Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-08-14T21:35:38.5866804Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-08-14T21:35:38.5866927Z + [[ dynamo_eager_torchbench == *crossref* ]] 2025-08-14T21:35:38.5867049Z + [[ linux-jammy-rocm-py3_10 == *rocm* ]] 2025-08-14T21:35:38.5868134Z + export VALGRIND=OFF 2025-08-14T21:35:38.5868280Z + VALGRIND=OFF 2025-08-14T21:35:38.5868364Z + rocminfo 2025-08-14T21:35:38.5963863Z ROCk module version 6.12.12 is loaded 2025-08-14T21:35:38.6389533Z ===================== 2025-08-14T21:35:38.6389915Z HSA System Attributes 2025-08-14T21:35:38.6390221Z ===================== 2025-08-14T21:35:38.6390511Z Runtime Version: 1.15 2025-08-14T21:35:38.6390821Z Runtime Ext Version: 1.7 2025-08-14T21:35:38.6391145Z System Timestamp Freq.: 1000.000000MHz 2025-08-14T21:35:38.6398036Z Sig. Max Wait Duration: 18446744073709551615 (0xFFFFFFFFFFFFFFFF) (timestamp count) 2025-08-14T21:35:38.6398258Z Machine Model: LARGE 2025-08-14T21:35:38.6398432Z System Endianness: LITTLE 2025-08-14T21:35:38.6398578Z Mwaitx: DISABLED 2025-08-14T21:35:38.6398691Z XNACK enabled: NO 2025-08-14T21:35:38.6398798Z DMAbuf Support: YES 2025-08-14T21:35:38.6398908Z VMM Support: YES 2025-08-14T21:35:38.6398983Z 2025-08-14T21:35:38.6399077Z ========== 2025-08-14T21:35:38.6399185Z HSA Agents 2025-08-14T21:35:38.6399287Z ========== 2025-08-14T21:35:38.6399383Z ******* 2025-08-14T21:35:38.6399476Z Agent 1 2025-08-14T21:35:38.6399572Z ******* 2025-08-14T21:35:38.6399691Z Name: AMD EPYC 9575F 64-Core Processor 2025-08-14T21:35:38.6399897Z Uuid: CPU-XX 2025-08-14T21:35:38.6402548Z Marketing Name: AMD EPYC 9575F 64-Core Processor 2025-08-14T21:35:38.6402803Z Vendor Name: CPU 2025-08-14T21:35:38.6402960Z Feature: None specified 2025-08-14T21:35:38.6403110Z Profile: FULL_PROFILE 2025-08-14T21:35:38.6403263Z Float Round Mode: NEAR 2025-08-14T21:35:38.6403424Z Max Queue Number: 0(0x0) 2025-08-14T21:35:38.6403574Z Queue Min Size: 0(0x0) 2025-08-14T21:35:38.6403766Z Queue Max Size: 0(0x0) 2025-08-14T21:35:38.6403908Z Queue Type: MULTI 2025-08-14T21:35:38.6404047Z Node: 0 2025-08-14T21:35:38.6404190Z Device Type: CPU 2025-08-14T21:35:38.6404321Z Cache Info: 2025-08-14T21:35:38.6404435Z L1: 65536(0x10000) KB 2025-08-14T21:35:38.6404577Z Chip ID: 0(0x0) 2025-08-14T21:35:38.6404717Z ASIC Revision: 0(0x0) 2025-08-14T21:35:38.6404867Z Cacheline Size: 64(0x40) 2025-08-14T21:35:38.6405019Z Max Clock Freq. (MHz): 0 2025-08-14T21:35:38.6405160Z BDFID: 0 2025-08-14T21:35:38.6405302Z Internal Node ID: 0 2025-08-14T21:35:38.6405448Z Compute Unit: 80 2025-08-14T21:35:38.6405591Z SIMDs per CU: 0 2025-08-14T21:35:38.6405740Z Shader Engines: 0 2025-08-14T21:35:38.6405894Z Shader Arrs. per Eng.: 0 2025-08-14T21:35:38.6406049Z WatchPts on Addr. Ranges:1 2025-08-14T21:35:38.6406191Z Memory Properties: 2025-08-14T21:35:38.6406299Z Features: None 2025-08-14T21:35:38.6406514Z Pool Info: 2025-08-14T21:35:38.6406619Z Pool 1 2025-08-14T21:35:38.6406751Z Segment: GLOBAL; FLAGS: FINE GRAINED 2025-08-14T21:35:38.6406954Z Size: 660245920(0x275a8da0) KB 2025-08-14T21:35:38.6407101Z Allocatable: TRUE 2025-08-14T21:35:38.6407255Z Alloc Granule: 4KB 2025-08-14T21:35:38.6407415Z Alloc Recommended Granule:4KB 2025-08-14T21:35:38.6407575Z Alloc Alignment: 4KB 2025-08-14T21:35:38.6407730Z Accessible by all: TRUE 2025-08-14T21:35:38.6407871Z Pool 2 2025-08-14T21:35:38.6408010Z Segment: GLOBAL; FLAGS: EXTENDED FINE GRAINED 2025-08-14T21:35:38.6408164Z Size: 660245920(0x275a8da0) KB 2025-08-14T21:35:38.6408315Z Allocatable: TRUE 2025-08-14T21:35:38.6408473Z Alloc Granule: 4KB 2025-08-14T21:35:38.6408641Z Alloc Recommended Granule:4KB 2025-08-14T21:35:38.6410446Z Alloc Alignment: 4KB 2025-08-14T21:35:38.6410613Z Accessible by all: TRUE 2025-08-14T21:35:38.6410748Z Pool 3 2025-08-14T21:35:38.6410874Z Segment: GLOBAL; FLAGS: KERNARG, FINE GRAINED 2025-08-14T21:35:38.6411019Z Size: 660245920(0x275a8da0) KB 2025-08-14T21:35:38.6411160Z Allocatable: TRUE 2025-08-14T21:35:38.6411363Z Alloc Granule: 4KB 2025-08-14T21:35:38.6411524Z Alloc Recommended Granule:4KB 2025-08-14T21:35:38.6411681Z Alloc Alignment: 4KB 2025-08-14T21:35:38.6411832Z Accessible by all: TRUE 2025-08-14T21:35:38.6411971Z Pool 4 2025-08-14T21:35:38.6413393Z Segment: GLOBAL; FLAGS: COARSE GRAINED 2025-08-14T21:35:38.6413542Z Size: 660245920(0x275a8da0) KB 2025-08-14T21:35:38.6413683Z Allocatable: TRUE 2025-08-14T21:35:38.6413832Z Alloc Granule: 4KB 2025-08-14T21:35:38.6413985Z Alloc Recommended Granule:4KB 2025-08-14T21:35:38.6414140Z Alloc Alignment: 4KB 2025-08-14T21:35:38.6414300Z Accessible by all: TRUE 2025-08-14T21:35:38.6414434Z ISA Info: 2025-08-14T21:35:38.6414533Z ******* 2025-08-14T21:35:38.6414631Z Agent 2 2025-08-14T21:35:38.6414725Z ******* 2025-08-14T21:35:38.6415839Z Name: AMD EPYC 9575F 64-Core Processor 2025-08-14T21:35:38.6415989Z Uuid: CPU-XX 2025-08-14T21:35:38.6416138Z Marketing Name: AMD EPYC 9575F 64-Core Processor 2025-08-14T21:35:38.6416292Z Vendor Name: CPU 2025-08-14T21:35:38.6416531Z Feature: None specified 2025-08-14T21:35:38.6416677Z Profile: FULL_PROFILE 2025-08-14T21:35:38.6416826Z Float Round Mode: NEAR 2025-08-14T21:35:38.6416973Z Max Queue Number: 0(0x0) 2025-08-14T21:35:38.6417125Z Queue Min Size: 0(0x0) 2025-08-14T21:35:38.6417268Z Queue Max Size: 0(0x0) 2025-08-14T21:35:38.6417410Z Queue Type: MULTI 2025-08-14T21:35:38.6418517Z Node: 1 2025-08-14T21:35:38.6418706Z Device Type: CPU 2025-08-14T21:35:38.6418837Z Cache Info: 2025-08-14T21:35:38.6418950Z L1: 65536(0x10000) KB 2025-08-14T21:35:38.6419083Z Chip ID: 0(0x0) 2025-08-14T21:35:38.6419222Z ASIC Revision: 0(0x0) 2025-08-14T21:35:38.6419368Z Cacheline Size: 64(0x40) 2025-08-14T21:35:38.6419516Z Max Clock Freq. (MHz): 0 2025-08-14T21:35:38.6419655Z BDFID: 0 2025-08-14T21:35:38.6419800Z Internal Node ID: 1 2025-08-14T21:35:38.6419945Z Compute Unit: 80 2025-08-14T21:35:38.6421060Z SIMDs per CU: 0 2025-08-14T21:35:38.6421214Z Shader Engines: 0 2025-08-14T21:35:38.6421363Z Shader Arrs. per Eng.: 0 2025-08-14T21:35:38.6421519Z WatchPts on Addr. Ranges:1 2025-08-14T21:35:38.6421655Z Memory Properties: 2025-08-14T21:35:38.6421758Z Features: None 2025-08-14T21:35:38.6421863Z Pool Info: 2025-08-14T21:35:38.6421962Z Pool 1 2025-08-14T21:35:38.6422088Z Segment: GLOBAL; FLAGS: FINE GRAINED 2025-08-14T21:35:38.6422234Z Size: 656328588(0x271ec78c) KB 2025-08-14T21:35:38.6422435Z Allocatable: TRUE 2025-08-14T21:35:38.6423537Z Alloc Granule: 4KB 2025-08-14T21:35:38.6423699Z Alloc Recommended Granule:4KB 2025-08-14T21:35:38.6423858Z Alloc Alignment: 4KB 2025-08-14T21:35:38.6424015Z Accessible by all: TRUE 2025-08-14T21:35:38.6424147Z Pool 2 2025-08-14T21:35:38.6424271Z Segment: GLOBAL; FLAGS: EXTENDED FINE GRAINED 2025-08-14T21:35:38.6424414Z Size: 656328588(0x271ec78c) KB 2025-08-14T21:35:38.6424555Z Allocatable: TRUE 2025-08-14T21:35:38.6424701Z Alloc Granule: 4KB 2025-08-14T21:35:38.6424857Z Alloc Recommended Granule:4KB 2025-08-14T21:35:38.6425020Z Alloc Alignment: 4KB 2025-08-14T21:35:38.6426116Z Accessible by all: TRUE 2025-08-14T21:35:38.6426250Z Pool 3 2025-08-14T21:35:38.6426373Z Segment: GLOBAL; FLAGS: KERNARG, FINE GRAINED 2025-08-14T21:35:38.6426599Z Size: 656328588(0x271ec78c) KB 2025-08-14T21:35:38.6426740Z Allocatable: TRUE 2025-08-14T21:35:38.6426888Z Alloc Granule: 4KB 2025-08-14T21:35:38.6427044Z Alloc Recommended Granule:4KB 2025-08-14T21:35:38.6427200Z Alloc Alignment: 4KB 2025-08-14T21:35:38.6427352Z Accessible by all: TRUE 2025-08-14T21:35:38.6427483Z Pool 4 2025-08-14T21:35:38.6427604Z Segment: GLOBAL; FLAGS: COARSE GRAINED 2025-08-14T21:35:38.6428704Z Size: 656328588(0x271ec78c) KB 2025-08-14T21:35:38.6428845Z Allocatable: TRUE 2025-08-14T21:35:38.6428995Z Alloc Granule: 4KB 2025-08-14T21:35:38.6429197Z Alloc Recommended Granule:4KB 2025-08-14T21:35:38.6429355Z Alloc Alignment: 4KB 2025-08-14T21:35:38.6429507Z Accessible by all: TRUE 2025-08-14T21:35:38.6429639Z ISA Info: 2025-08-14T21:35:38.6429737Z ******* 2025-08-14T21:35:38.6429832Z Agent 3 2025-08-14T21:35:38.6429924Z ******* 2025-08-14T21:35:38.6430030Z Name: gfx942 2025-08-14T21:35:38.6431127Z Uuid: GPU-d963ed912b86c72a 2025-08-14T21:35:38.6431283Z Marketing Name: AMD Instinct Mi325X VF 2025-08-14T21:35:38.6431436Z Vendor Name: AMD 2025-08-14T21:35:38.6431581Z Feature: KERNEL_DISPATCH 2025-08-14T21:35:38.6431727Z Profile: BASE_PROFILE 2025-08-14T21:35:38.6431884Z Float Round Mode: NEAR 2025-08-14T21:35:38.6432032Z Max Queue Number: 128(0x80) 2025-08-14T21:35:38.6432177Z Queue Min Size: 64(0x40) 2025-08-14T21:35:38.6432319Z Queue Max Size: 131072(0x20000) 2025-08-14T21:35:38.6432460Z Queue Type: MULTI 2025-08-14T21:35:38.6432596Z Node: 2 2025-08-14T21:35:38.6433766Z Device Type: GPU 2025-08-14T21:35:38.6433958Z Cache Info: 2025-08-14T21:35:38.6434074Z L1: 32(0x20) KB 2025-08-14T21:35:38.6434210Z L2: 4096(0x1000) KB 2025-08-14T21:35:38.6434337Z L3: 262144(0x40000) KB 2025-08-14T21:35:38.6434472Z Chip ID: 29881(0x74b9) 2025-08-14T21:35:38.6434613Z ASIC Revision: 1(0x1) 2025-08-14T21:35:38.6434763Z Cacheline Size: 128(0x80) 2025-08-14T21:35:38.6434911Z Max Clock Freq. (MHz): 2100 2025-08-14T21:35:38.6435051Z BDFID: 35584 2025-08-14T21:35:38.6436604Z Internal Node ID: 2 2025-08-14T21:35:38.6436761Z Compute Unit: 304 2025-08-14T21:35:38.6436904Z SIMDs per CU: 4 2025-08-14T21:35:38.6437058Z Shader Engines: 32 2025-08-14T21:35:38.6437211Z Shader Arrs. per Eng.: 1 2025-08-14T21:35:38.6437364Z WatchPts on Addr. Ranges:4 2025-08-14T21:35:38.6437521Z Coherent Host Access: FALSE 2025-08-14T21:35:38.6437658Z Memory Properties: 2025-08-14T21:35:38.6437771Z Features: KERNEL_DISPATCH 2025-08-14T21:35:38.6437910Z Fast F16 Operation: TRUE 2025-08-14T21:35:38.6438061Z Wavefront Size: 64(0x40) 2025-08-14T21:35:38.6439257Z Workgroup Max Size: 1024(0x400) 2025-08-14T21:35:38.6439400Z Workgroup Max Size per Dimension: 2025-08-14T21:35:38.6439522Z x 1024(0x400) 2025-08-14T21:35:38.6439647Z y 1024(0x400) 2025-08-14T21:35:38.6439855Z z 1024(0x400) 2025-08-14T21:35:38.6439991Z Max Waves Per CU: 32(0x20) 2025-08-14T21:35:38.6440141Z Max Work-item Per CU: 2048(0x800) 2025-08-14T21:35:38.6440341Z Grid Max Size: 4294967295(0xffffffff) 2025-08-14T21:35:38.6440476Z Grid Max Size per Dimension: 2025-08-14T21:35:38.6440587Z x 4294967295(0xffffffff) 2025-08-14T21:35:38.6440712Z y 4294967295(0xffffffff) 2025-08-14T21:35:38.6441850Z z 4294967295(0xffffffff) 2025-08-14T21:35:38.6441994Z Max fbarriers/Workgrp: 32 2025-08-14T21:35:38.6442203Z Packet Processor uCode:: 177 2025-08-14T21:35:38.6442359Z SDMA engine uCode:: 24 2025-08-14T21:35:38.6442514Z IOMMU Support:: None 2025-08-14T21:35:38.6442645Z Pool Info: 2025-08-14T21:35:38.6442746Z Pool 1 2025-08-14T21:35:38.6442872Z Segment: GLOBAL; FLAGS: COARSE GRAINED 2025-08-14T21:35:38.6443024Z Size: 268107776(0xffb0000) KB 2025-08-14T21:35:38.6443169Z Allocatable: TRUE 2025-08-14T21:35:38.6443319Z Alloc Granule: 4KB 2025-08-14T21:35:38.6444471Z Alloc Recommended Granule:2048KB 2025-08-14T21:35:38.6444630Z Alloc Alignment: 4KB 2025-08-14T21:35:38.6444782Z Accessible by all: FALSE 2025-08-14T21:35:38.6444914Z Pool 2 2025-08-14T21:35:38.6445039Z Segment: GLOBAL; FLAGS: EXTENDED FINE GRAINED 2025-08-14T21:35:38.6445232Z Size: 268107776(0xffb0000) KB 2025-08-14T21:35:38.6445374Z Allocatable: TRUE 2025-08-14T21:35:38.6445522Z Alloc Granule: 4KB 2025-08-14T21:35:38.6445681Z Alloc Recommended Granule:2048KB 2025-08-14T21:35:38.6445837Z Alloc Alignment: 4KB 2025-08-14T21:35:38.6445988Z Accessible by all: FALSE 2025-08-14T21:35:38.6447223Z Pool 3 2025-08-14T21:35:38.6447351Z Segment: GLOBAL; FLAGS: FINE GRAINED 2025-08-14T21:35:38.6447492Z Size: 268107776(0xffb0000) KB 2025-08-14T21:35:38.6447633Z Allocatable: TRUE 2025-08-14T21:35:38.6447782Z Alloc Granule: 4KB 2025-08-14T21:35:38.6447945Z Alloc Recommended Granule:2048KB 2025-08-14T21:35:38.6448102Z Alloc Alignment: 4KB 2025-08-14T21:35:38.6448253Z Accessible by all: FALSE 2025-08-14T21:35:38.6448384Z Pool 4 2025-08-14T21:35:38.6448503Z Segment: GROUP 2025-08-14T21:35:38.6448641Z Size: 64(0x40) KB 2025-08-14T21:35:38.6449770Z Allocatable: FALSE 2025-08-14T21:35:38.6449922Z Alloc Granule: 0KB 2025-08-14T21:35:38.6450076Z Alloc Recommended Granule:0KB 2025-08-14T21:35:38.6450231Z Alloc Alignment: 0KB 2025-08-14T21:35:38.6450383Z Accessible by all: FALSE 2025-08-14T21:35:38.6450518Z ISA Info: 2025-08-14T21:35:38.6450618Z ISA 1 2025-08-14T21:35:38.6450747Z Name: amdgcn-amd-amdhsa--gfx942:sramecc+:xnack- 2025-08-14T21:35:38.6450907Z Machine Models: HSA_MACHINE_MODEL_LARGE 2025-08-14T21:35:38.6451113Z Profiles: HSA_PROFILE_BASE 2025-08-14T21:35:38.6451268Z Default Rounding Mode: NEAR 2025-08-14T21:35:38.6452430Z Default Rounding Mode: NEAR 2025-08-14T21:35:38.6452578Z Fast f16: TRUE 2025-08-14T21:35:38.6452725Z Workgroup Max Size: 1024(0x400) 2025-08-14T21:35:38.6452864Z Workgroup Max Size per Dimension: 2025-08-14T21:35:38.6452990Z x 1024(0x400) 2025-08-14T21:35:38.6453127Z y 1024(0x400) 2025-08-14T21:35:38.6453252Z z 1024(0x400) 2025-08-14T21:35:38.6453386Z Grid Max Size: 4294967295(0xffffffff) 2025-08-14T21:35:38.6453520Z Grid Max Size per Dimension: 2025-08-14T21:35:38.6453644Z x 4294967295(0xffffffff) 2025-08-14T21:35:38.6453771Z y 4294967295(0xffffffff) 2025-08-14T21:35:38.6454910Z z 4294967295(0xffffffff) 2025-08-14T21:35:38.6455051Z FBarrier Max Size: 32 2025-08-14T21:35:38.6455184Z ISA 2 2025-08-14T21:35:38.6455320Z Name: amdgcn-amd-amdhsa--gfx9-4-generic:sramecc+:xnack- 2025-08-14T21:35:38.6455489Z Machine Models: HSA_MACHINE_MODEL_LARGE 2025-08-14T21:35:38.6455643Z Profiles: HSA_PROFILE_BASE 2025-08-14T21:35:38.6455849Z Default Rounding Mode: NEAR 2025-08-14T21:35:38.6456005Z Default Rounding Mode: NEAR 2025-08-14T21:35:38.6456151Z Fast f16: TRUE 2025-08-14T21:35:38.6456301Z Workgroup Max Size: 1024(0x400) 2025-08-14T21:35:38.6456523Z Workgroup Max Size per Dimension: 2025-08-14T21:35:38.6457667Z x 1024(0x400) 2025-08-14T21:35:38.6457793Z y 1024(0x400) 2025-08-14T21:35:38.6457917Z z 1024(0x400) 2025-08-14T21:35:38.6458052Z Grid Max Size: 4294967295(0xffffffff) 2025-08-14T21:35:38.6458187Z Grid Max Size per Dimension: 2025-08-14T21:35:38.6458304Z x 4294967295(0xffffffff) 2025-08-14T21:35:38.6458436Z y 4294967295(0xffffffff) 2025-08-14T21:35:38.6458563Z z 4294967295(0xffffffff) 2025-08-14T21:35:38.6458702Z FBarrier Max Size: 32 2025-08-14T21:35:38.6458832Z *** Done *** 2025-08-14T21:35:38.6458941Z + rocminfo 2025-08-14T21:35:38.6460064Z + grep -E 'Name:.*\sgfx|Marketing' 2025-08-14T21:35:38.7001032Z Marketing Name: AMD EPYC 9575F 64-Core Processor 2025-08-14T21:35:38.7001548Z Marketing Name: AMD EPYC 9575F 64-Core Processor 2025-08-14T21:35:38.7001992Z Name: gfx942 2025-08-14T21:35:38.7002396Z Marketing Name: AMD Instinct Mi325X VF 2025-08-14T21:35:38.7043694Z + MAYBE_ROCM=rocm/ 2025-08-14T21:35:38.7044820Z + [[ linux-jammy-rocm-py3_10 == *xpu* ]] 2025-08-14T21:35:38.7045079Z + [[ linux-jammy-rocm-py3_10 != *-bazel-* ]] 2025-08-14T21:35:38.7045287Z + pip_install ninja==1.10.2 2025-08-14T21:35:38.7045454Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-08-14T21:35:38.7051613Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-08-14T21:35:38.9785606Z Collecting ninja==1.10.2 2025-08-14T21:35:39.0671813Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-08-14T21:35:39.1012960Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-08-14T21:35:39.5345704Z Installing collected packages: ninja 2025-08-14T21:35:39.5346113Z Attempting uninstall: ninja 2025-08-14T21:35:39.5350933Z Found existing installation: ninja 1.11.1.3 2025-08-14T21:35:39.5361816Z Uninstalling ninja-1.11.1.3: 2025-08-14T21:35:39.5431713Z Successfully uninstalled ninja-1.11.1.3 2025-08-14T21:35:39.5641489Z Successfully installed ninja-1.10.2 2025-08-14T21:35:39.6279364Z + 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 2025-08-14T21:35:39.6281129Z + 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 2025-08-14T21:35:39.6281905Z + [[ linux-jammy-rocm-py3_10 == *aarch64* ]] 2025-08-14T21:35:39.6282163Z + [[ linux-jammy-rocm-py3_10 == *asan* ]] 2025-08-14T21:35:39.6282408Z + [[ linux-jammy-rocm-py3_10 == *-debug* ]] 2025-08-14T21:35:39.6282658Z + [[ linux-jammy-rocm-py3_10 != *-bazel-* ]] 2025-08-14T21:35:39.6283001Z + echo 'We are not in debug mode: linux-jammy-rocm-py3_10. Expect the assertion to pass' 2025-08-14T21:35:39.6283413Z We are not in debug mode: linux-jammy-rocm-py3_10. Expect the assertion to pass 2025-08-14T21:35:39.6283930Z + cd test 2025-08-14T21:35:39.6284174Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-08-14T21:35:40.5020852Z + [[ dynamo_eager_torchbench == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-08-14T21:35:40.5021095Z + [[ dynamo_eager_torchbench == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-08-14T21:35:40.5021315Z + [[ dynamo_eager_torchbench == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-08-14T21:35:40.5021485Z + DYNAMO_BENCHMARK_FLAGS=() 2025-08-14T21:35:40.5021622Z + [[ dynamo_eager_torchbench == *pr_time_benchmarks* ]] 2025-08-14T21:35:40.5021772Z + [[ dynamo_eager_torchbench == *dynamo_eager* ]] 2025-08-14T21:35:40.5021939Z + DYNAMO_BENCHMARK_FLAGS+=(--backend eager) 2025-08-14T21:35:40.5022076Z + [[ dynamo_eager_torchbench == *dynamic* ]] 2025-08-14T21:35:40.5022207Z + [[ dynamo_eager_torchbench == *cpu* ]] 2025-08-14T21:35:40.5022344Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-08-14T21:35:40.5028593Z + [[ linux-jammy-rocm-py3_10 == *libtorch* ]] 2025-08-14T21:35:40.5028755Z + [[ linux-jammy-rocm-py3_10 == *-bazel-* ]] 2025-08-14T21:35:40.5032640Z + cd test 2025-08-14T21:35:40.5034653Z + python -c 'import torch; print(torch.__config__.show())' 2025-08-14T21:35:41.2146006Z PyTorch built with: 2025-08-14T21:35:41.2146213Z - GCC 11.4 2025-08-14T21:35:41.2146334Z - C++ Version: 201703 2025-08-14T21:35:41.2153353Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-08-14T21:35:41.2153682Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-08-14T21:35:41.2153865Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-08-14T21:35:41.2154012Z - LAPACK is enabled (usually provided by MKL) 2025-08-14T21:35:41.2154147Z - NNPACK is enabled 2025-08-14T21:35:41.2154267Z - CPU capability usage: AVX512 2025-08-14T21:35:41.2154388Z - HIP Runtime 6.4.43484 2025-08-14T21:35:41.2154498Z - MIOpen 3.4.0 2025-08-14T21:35:41.2154596Z - Magma 2.7.2 2025-08-14T21:35:41.2156686Z - 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, 2025-08-14T21:35:41.2158561Z 2025-08-14T21:35:41.4049096Z + cd test 2025-08-14T21:35:41.4049522Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-08-14T21:35:42.0507191Z ATen/Parallel: 2025-08-14T21:35:42.0507670Z at::get_num_threads() : 160 2025-08-14T21:35:42.0508063Z at::get_num_interop_threads() : 160 2025-08-14T21:35:42.0508411Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-08-14T21:35:42.0508734Z omp_get_max_threads() : 160 2025-08-14T21:35:42.0509327Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-08-14T21:35:42.0509923Z mkl_get_max_threads() : 160 2025-08-14T21:35:42.0518626Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-08-14T21:35:42.0519010Z std::thread::hardware_concurrency() : 160 2025-08-14T21:35:42.0519264Z Environment variables: 2025-08-14T21:35:42.0519477Z OMP_NUM_THREADS : [not set] 2025-08-14T21:35:42.0520417Z MKL_NUM_THREADS : [not set] 2025-08-14T21:35:42.0520640Z ATen parallel backend: OpenMP 2025-08-14T21:35:42.0520789Z 2025-08-14T21:35:42.2396745Z + [[ dynamo_eager_torchbench == *numpy_2* ]] 2025-08-14T21:35:42.2397178Z + [[ linux-jammy-rocm-py3_10 == *aarch64* ]] 2025-08-14T21:35:42.2397458Z + [[ dynamo_eager_torchbench == *backward* ]] 2025-08-14T21:35:42.2397741Z + [[ dynamo_eager_torchbench == *xla* ]] 2025-08-14T21:35:42.2398014Z + [[ dynamo_eager_torchbench == *executorch* ]] 2025-08-14T21:35:42.2405826Z + [[ dynamo_eager_torchbench == \j\i\t\_\l\e\g\a\c\y ]] 2025-08-14T21:35:42.2406095Z + [[ linux-jammy-rocm-py3_10 == *libtorch* ]] 2025-08-14T21:35:42.2406329Z + [[ dynamo_eager_torchbench == distributed ]] 2025-08-14T21:35:42.2406724Z + [[ dynamo_eager_torchbench == *operator_benchmark* ]] 2025-08-14T21:35:42.2406997Z + [[ dynamo_eager_torchbench == *inductor_distributed* ]] 2025-08-14T21:35:42.2407280Z + [[ dynamo_eager_torchbench == *inductor-halide* ]] 2025-08-14T21:35:42.2407563Z + [[ dynamo_eager_torchbench == *inductor-triton-cpu* ]] 2025-08-14T21:35:42.2407852Z + [[ dynamo_eager_torchbench == *inductor-micro-benchmark* ]] 2025-08-14T21:35:42.2408123Z + [[ dynamo_eager_torchbench == *huggingface* ]] 2025-08-14T21:35:42.2408351Z + [[ dynamo_eager_torchbench == *timm* ]] 2025-08-14T21:35:42.2411298Z + [[ dynamo_eager_torchbench == cachebench ]] 2025-08-14T21:35:42.2411571Z + [[ dynamo_eager_torchbench == verify_cachebench ]] 2025-08-14T21:35:42.2411814Z + [[ dynamo_eager_torchbench == *torchbench* ]] 2025-08-14T21:35:42.2412026Z + install_torchaudio 2025-08-14T21:35:42.2412189Z + local commit 2025-08-14T21:35:42.2412356Z ++ get_pinned_commit audio 2025-08-14T21:35:42.2412559Z ++ cat .github/ci_commit_pins/audio.txt 2025-08-14T21:35:42.2414592Z + commit=bdb88e1d66f272cad72156c90ac8428ca61a601c 2025-08-14T21:35:42.2414956Z + pip_build_and_install git+https://github.com/pytorch/audio.git@bdb88e1d66f272cad72156c90ac8428ca61a601c dist/audio 2025-08-14T21:35:42.2415380Z + local build_target=git+https://github.com/pytorch/audio.git@bdb88e1d66f272cad72156c90ac8428ca61a601c 2025-08-14T21:35:42.2415658Z + local wheel_dir=dist/audio 2025-08-14T21:35:42.2417889Z + local found_whl=0 2025-08-14T21:35:42.2418029Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:35:42.2418183Z + [[ -f dist/audio/*.whl ]] 2025-08-14T21:35:42.2418305Z + '[' 0 == 0 ']' 2025-08-14T21:35:42.2419035Z + python3 -m pip wheel --no-build-isolation --no-deps --no-use-pep517 -w dist/audio git+https://github.com/pytorch/audio.git@bdb88e1d66f272cad72156c90ac8428ca61a601c 2025-08-14T21:35:42.4032045Z Collecting git+https://github.com/pytorch/audio.git@bdb88e1d66f272cad72156c90ac8428ca61a601c 2025-08-14T21:35:42.4033108Z Cloning https://github.com/pytorch/audio.git (to revision bdb88e1d66f272cad72156c90ac8428ca61a601c) to /tmp/pip-req-build-wgvs7u3k 2025-08-14T21:35:42.4047782Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/audio.git /tmp/pip-req-build-wgvs7u3k 2025-08-14T21:35:44.5575352Z Running command git rev-parse -q --verify 'sha^bdb88e1d66f272cad72156c90ac8428ca61a601c' 2025-08-14T21:35:44.5596749Z Running command git fetch -q https://github.com/pytorch/audio.git bdb88e1d66f272cad72156c90ac8428ca61a601c 2025-08-14T21:35:44.7907496Z Running command git checkout -q bdb88e1d66f272cad72156c90ac8428ca61a601c 2025-08-14T21:35:45.1326555Z Resolved https://github.com/pytorch/audio.git to commit bdb88e1d66f272cad72156c90ac8428ca61a601c 2025-08-14T21:35:45.1327276Z Running command git submodule update --init --recursive -q 2025-08-14T21:35:46.5673351Z Preparing metadata (setup.py) ... [?25l- done 2025-08-14T21:35:46.5695455Z [?25hBuilding wheels for collected packages: torchaudio 2025-08-14T21:35:46.5752484Z  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 2025-08-14T21:36:11.8692158Z  Building wheel for torchaudio (setup.py) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ done 2025-08-14T21:36:11.8711147Z [?25h Created wheel for torchaudio: filename=torchaudio-2.8.0a0+bdb88e1-cp310-cp310-linux_x86_64.whl size=1722145 sha256=f2ba2ba97ec6853bfd28fc06fccd352e811b912842792dc4cf1c4c3b7686af5e 2025-08-14T21:36:11.8719545Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/b4/a4/54/a673a78ea28081dafa5ec044a02bdf57ec5f5e610b00c52087 2025-08-14T21:36:11.8729925Z Successfully built torchaudio 2025-08-14T21:36:11.9620554Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:36:11.9622152Z + pip_install_whl dist/audio/torchaudio-2.8.0a0+bdb88e1-cp310-cp310-linux_x86_64.whl 2025-08-14T21:36:11.9622668Z + args=('dist/audio/torchaudio-2.8.0a0+bdb88e1-cp310-cp310-linux_x86_64.whl') 2025-08-14T21:36:11.9622932Z + local args 2025-08-14T21:36:11.9623162Z + [[ dist/audio/torchaudio-2.8.0a0+bdb88e1-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-08-14T21:36:11.9623437Z + for path in "${args[@]}" 2025-08-14T21:36:11.9623735Z + echo 'Installing dist/audio/torchaudio-2.8.0a0+bdb88e1-cp310-cp310-linux_x86_64.whl' 2025-08-14T21:36:11.9624110Z Installing dist/audio/torchaudio-2.8.0a0+bdb88e1-cp310-cp310-linux_x86_64.whl 2025-08-14T21:36:11.9624559Z + python3 -mpip install --no-index --no-deps dist/audio/torchaudio-2.8.0a0+bdb88e1-cp310-cp310-linux_x86_64.whl 2025-08-14T21:36:12.1282335Z Processing ./dist/audio/torchaudio-2.8.0a0+bdb88e1-cp310-cp310-linux_x86_64.whl 2025-08-14T21:36:12.1323280Z Installing collected packages: torchaudio 2025-08-14T21:36:12.2541975Z Successfully installed torchaudio-2.8.0a0+bdb88e1 2025-08-14T21:36:12.2732802Z + install_torchvision 2025-08-14T21:36:12.2733120Z + local orig_preload 2025-08-14T21:36:12.2733387Z + local commit 2025-08-14T21:36:12.2737656Z ++ get_pinned_commit vision 2025-08-14T21:36:12.2738018Z ++ cat .github/ci_commit_pins/vision.txt 2025-08-14T21:36:12.2748641Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:36:12.2748906Z + orig_preload= 2025-08-14T21:36:12.2757409Z + '[' -n '' ']' 2025-08-14T21:36:12.2757630Z + [[ linux-jammy-rocm-py3_10 == *cuda* ]] 2025-08-14T21:36:12.2758092Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-08-14T21:36:12.2758642Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:36:12.2758993Z + local wheel_dir=dist/vision 2025-08-14T21:36:12.2759172Z + local found_whl=0 2025-08-14T21:36:12.2759344Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:36:12.2759536Z + [[ -f dist/vision/*.whl ]] 2025-08-14T21:36:12.2759716Z + '[' 0 == 0 ']' 2025-08-14T21:36:12.2760270Z + python3 -m pip wheel --no-build-isolation --no-deps --no-use-pep517 -w dist/vision git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:36:12.4382014Z Collecting git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:36:12.4383098Z Cloning https://github.com/pytorch/vision.git (to revision 966da7e46f65d6d49df3e31214470a4fe5cc8e66) to /tmp/pip-req-build-9mpqdu65 2025-08-14T21:36:12.4396701Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-9mpqdu65 2025-08-14T21:36:13.9608785Z Running command git rev-parse -q --verify 'sha^966da7e46f65d6d49df3e31214470a4fe5cc8e66' 2025-08-14T21:36:13.9625624Z Running command git fetch -q https://github.com/pytorch/vision.git 966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:36:14.2260782Z Running command git checkout -q 966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:36:14.6072414Z Resolved https://github.com/pytorch/vision.git to commit 966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:36:16.2141095Z Preparing metadata (setup.py) ... [?25l- \ | done 2025-08-14T21:36:16.2177001Z [?25hBuilding wheels for collected packages: torchvision 2025-08-14T21:36:16.2224424Z  DEPRECATION: Building 'torchvision' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'torchvision'. Discussion can be found at https://github.com/pypa/pip/issues/6334 2025-08-14T21:36:45.6313640Z  Building wheel for torchvision (setup.py) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ done 2025-08-14T21:36:45.6331316Z [?25h Created wheel for torchvision: filename=torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl size=1570535 sha256=1e9f2c0aba187642fa93c10f53b825e2613d03fe76535dc2ae0f3607a244aaab 2025-08-14T21:36:45.6331795Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/9c/9d/3e/42fa2d5ac6ba44a90363f8fff0fa9e712e24d4f977637c81cb 2025-08-14T21:36:45.6352456Z Successfully built torchvision 2025-08-14T21:36:45.6875347Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:36:45.6881835Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-08-14T21:36:45.6882172Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl') 2025-08-14T21:36:45.6882344Z + local args 2025-08-14T21:36:45.6882504Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-08-14T21:36:45.6882688Z + for path in "${args[@]}" 2025-08-14T21:36:45.6882867Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl' 2025-08-14T21:36:45.6883125Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-08-14T21:36:45.6883408Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-08-14T21:36:45.8520613Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-08-14T21:36:45.8564536Z Installing collected packages: torchvision 2025-08-14T21:36:46.0659112Z Successfully installed torchvision-0.22.0a0+966da7e 2025-08-14T21:36:46.0871393Z + '[' -n '' ']' 2025-08-14T21:36:46.0872405Z + id=0 2025-08-14T21:36:46.0872652Z + pip_install opencv-python==4.8.0.74 2025-08-14T21:36:46.0872906Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-08-14T21:36:46.0873134Z + python3 -m pip install --progress-bar off opencv-python==4.8.0.74 2025-08-14T21:36:46.4322607Z Collecting opencv-python==4.8.0.74 2025-08-14T21:36:46.5278122Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB) 2025-08-14T21:36:46.5364855Z Requirement already satisfied: numpy>=1.21.2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from opencv-python==4.8.0.74) (1.22.4) 2025-08-14T21:36:46.5661996Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (61.7 MB) 2025-08-14T21:36:47.5598064Z Installing collected packages: opencv-python 2025-08-14T21:36:47.5598570Z Attempting uninstall: opencv-python 2025-08-14T21:36:47.5602478Z Found existing installation: opencv-python 4.11.0.86 2025-08-14T21:36:47.5635232Z Uninstalling opencv-python-4.11.0.86: 2025-08-14T21:36:47.6507969Z Successfully uninstalled opencv-python-4.11.0.86 2025-08-14T21:36:48.1779585Z Successfully installed opencv-python-4.8.0.74 2025-08-14T21:36:48.2382830Z + [[ dynamo_eager_torchbench == *inductor_torchbench_smoketest_perf* ]] 2025-08-14T21:36:48.2383442Z + [[ dynamo_eager_torchbench == *inductor_torchbench_cpu_smoketest_perf* ]] 2025-08-14T21:36:48.2384401Z + [[ dynamo_eager_torchbench == *torchbench_gcp_smoketest* ]] 2025-08-14T21:36:48.2384814Z + [[ dynamo_eager_torchbench != *cpu* ]] 2025-08-14T21:36:48.2385153Z + install_torchrec_and_fbgemm 2025-08-14T21:36:48.2385454Z + local torchrec_commit 2025-08-14T21:36:48.2388748Z ++ get_pinned_commit torchrec 2025-08-14T21:36:48.2389062Z ++ cat .github/ci_commit_pins/torchrec.txt 2025-08-14T21:36:48.2406938Z + torchrec_commit=6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2 2025-08-14T21:36:48.2407175Z + local fbgemm_commit 2025-08-14T21:36:48.2410051Z ++ get_pinned_commit fbgemm 2025-08-14T21:36:48.2410392Z ++ cat .github/ci_commit_pins/fbgemm.txt 2025-08-14T21:36:48.2417361Z + fbgemm_commit=de731af65b4f04696e85c729e3282450b51b95fd 2025-08-14T21:36:48.2424942Z + [[ linux-jammy-rocm-py3_10 == *rocm* ]] 2025-08-14T21:36:48.2425179Z ++ get_pinned_commit fbgemm_rocm 2025-08-14T21:36:48.2425398Z ++ cat .github/ci_commit_pins/fbgemm_rocm.txt 2025-08-14T21:36:48.2436179Z + fbgemm_commit=7f1de94a4c2d14f59ad4ca84538c36084ea6b2c8 2025-08-14T21:36:48.2436538Z + pip_uninstall torchrec-nightly 2025-08-14T21:36:48.2436710Z + pip3 uninstall -y torchrec-nightly 2025-08-14T21:36:48.4129053Z WARNING: Skipping torchrec-nightly as it is not installed. 2025-08-14T21:36:48.4372245Z + pip_uninstall fbgemm-gpu-nightly 2025-08-14T21:36:48.4372669Z + pip3 uninstall -y fbgemm-gpu-nightly 2025-08-14T21:36:48.5987375Z WARNING: Skipping fbgemm-gpu-nightly as it is not installed. 2025-08-14T21:36:48.6174555Z + pip_install setuptools-git-versioning scikit-build pyre-extensions 2025-08-14T21:36:48.6174872Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-08-14T21:36:48.6175219Z + python3 -m pip install --progress-bar off setuptools-git-versioning scikit-build pyre-extensions 2025-08-14T21:36:48.7829355Z Requirement already satisfied: setuptools-git-versioning in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (2.1.0) 2025-08-14T21:36:48.7829724Z Requirement already satisfied: scikit-build in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (0.18.1) 2025-08-14T21:36:48.7831058Z Requirement already satisfied: pyre-extensions in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (0.0.32) 2025-08-14T21:36:48.7837510Z Requirement already satisfied: packaging in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from setuptools-git-versioning) (25.0) 2025-08-14T21:36:48.7839237Z Requirement already satisfied: setuptools in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from setuptools-git-versioning) (80.9.0) 2025-08-14T21:36:48.7841908Z Requirement already satisfied: tomli>=2.0.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from setuptools-git-versioning) (2.2.1) 2025-08-14T21:36:48.7867271Z Requirement already satisfied: distro in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from scikit-build) (1.9.0) 2025-08-14T21:36:48.7867676Z Requirement already satisfied: wheel>=0.32.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from scikit-build) (0.45.1) 2025-08-14T21:36:48.7869025Z Requirement already satisfied: typing-inspect in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from pyre-extensions) (0.9.0) 2025-08-14T21:36:48.7870776Z Requirement already satisfied: typing-extensions in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from pyre-extensions) (4.14.1) 2025-08-14T21:36:48.7906087Z Requirement already satisfied: mypy-extensions>=0.3.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from typing-inspect->pyre-extensions) (1.1.0) 2025-08-14T21:36:49.2313332Z + [[ linux-jammy-rocm-py3_10 == *rocm* ]] 2025-08-14T21:36:49.2315538Z + pip_build_and_install git+https://github.com/pytorch/torchrec.git@6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2 dist/torchrec 2025-08-14T21:36:49.2316882Z + local build_target=git+https://github.com/pytorch/torchrec.git@6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2 2025-08-14T21:36:49.2317494Z + local wheel_dir=dist/torchrec 2025-08-14T21:36:49.2317810Z + local found_whl=0 2025-08-14T21:36:49.2318071Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:36:49.2319096Z + [[ -f dist/torchrec/*.whl ]] 2025-08-14T21:36:49.2319370Z + '[' 0 == 0 ']' 2025-08-14T21:36:49.2320229Z + python3 -m pip wheel --no-build-isolation --no-deps --no-use-pep517 -w dist/torchrec git+https://github.com/pytorch/torchrec.git@6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2 2025-08-14T21:36:49.4077584Z Collecting git+https://github.com/pytorch/torchrec.git@6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2 2025-08-14T21:36:49.4078981Z Cloning https://github.com/pytorch/torchrec.git (to revision 6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2) to /tmp/pip-req-build-s0txl7qr 2025-08-14T21:36:49.4093717Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/torchrec.git /tmp/pip-req-build-s0txl7qr 2025-08-14T21:36:50.5996874Z Running command git rev-parse -q --verify 'sha^6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2' 2025-08-14T21:36:50.6007041Z Running command git fetch -q https://github.com/pytorch/torchrec.git 6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2 2025-08-14T21:36:50.8528502Z Running command git checkout -q 6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2 2025-08-14T21:36:51.2980924Z Resolved https://github.com/pytorch/torchrec.git to commit 6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2 2025-08-14T21:36:51.4077067Z Preparing metadata (setup.py) ... [?25l- done 2025-08-14T21:36:51.4098433Z [?25hBuilding wheels for collected packages: torchrec 2025-08-14T21:36:51.4132378Z  DEPRECATION: Building 'torchrec' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'torchrec'. Discussion can be found at https://github.com/pypa/pip/issues/6334 2025-08-14T21:36:51.6166826Z  Building wheel for torchrec (setup.py) ... [?25l- \ done 2025-08-14T21:36:51.6184610Z [?25h Created wheel for torchrec: filename=torchrec-0.3.2-py3-none-any.whl size=374580 sha256=b7f468d7cc4ddbd9f578c615c755de200a928bf860a4abdc682c92f8d3781efc 2025-08-14T21:36:51.6185405Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/8e/a1/47/39ede01672ba82c08fb521bfc057cc4347e4b0e951738c8ca8 2025-08-14T21:36:51.6193900Z Successfully built torchrec 2025-08-14T21:36:51.6617804Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:36:51.6618111Z + pip_install_whl dist/torchrec/torchrec-0.3.2-py3-none-any.whl 2025-08-14T21:36:51.6618387Z + args=('dist/torchrec/torchrec-0.3.2-py3-none-any.whl') 2025-08-14T21:36:51.6618586Z + local args 2025-08-14T21:36:51.6618778Z + [[ dist/torchrec/torchrec-0.3.2-py3-none-any.whl == *\ * ]] 2025-08-14T21:36:51.6619007Z + for path in "${args[@]}" 2025-08-14T21:36:51.6619226Z + echo 'Installing dist/torchrec/torchrec-0.3.2-py3-none-any.whl' 2025-08-14T21:36:51.6619497Z Installing dist/torchrec/torchrec-0.3.2-py3-none-any.whl 2025-08-14T21:36:51.6619846Z + python3 -mpip install --no-index --no-deps dist/torchrec/torchrec-0.3.2-py3-none-any.whl 2025-08-14T21:36:51.8250174Z Processing ./dist/torchrec/torchrec-0.3.2-py3-none-any.whl 2025-08-14T21:36:51.8281619Z Installing collected packages: torchrec 2025-08-14T21:36:51.9518399Z Successfully installed torchrec-0.3.2 2025-08-14T21:36:51.9706052Z + pip_uninstall fbgemm-gpu-nightly 2025-08-14T21:36:51.9706766Z + pip3 uninstall -y fbgemm-gpu-nightly 2025-08-14T21:36:52.1334086Z WARNING: Skipping fbgemm-gpu-nightly as it is not installed. 2025-08-14T21:36:52.1532653Z + ROCM_HOME=/opt/rocm 2025-08-14T21:36:52.1539376Z + rocm_version_h=/opt/rocm/include/rocm-core/rocm_version.h 2025-08-14T21:36:52.1539955Z + '[' '!' -f /opt/rocm/include/rocm-core/rocm_version.h ']' 2025-08-14T21:36:52.1540154Z + '[' '!' -f /opt/rocm/include/rocm-core/rocm_version.h ']' 2025-08-14T21:36:52.1541124Z ++ grep ROCM_VERSION_MAJOR /opt/rocm/include/rocm-core/rocm_version.h 2025-08-14T21:36:52.1541295Z ++ awk '{print $3}' 2025-08-14T21:36:52.1556791Z + MAJOR_VERSION=6 2025-08-14T21:36:52.1565178Z ++ grep ROCM_VERSION_MINOR /opt/rocm/include/rocm-core/rocm_version.h 2025-08-14T21:36:52.1566072Z ++ awk '{print $3}' 2025-08-14T21:36:52.1584418Z + MINOR_VERSION=4 2025-08-14T21:36:52.1589038Z ++ grep ROCM_VERSION_PATCH /opt/rocm/include/rocm-core/rocm_version.h 2025-08-14T21:36:52.1590916Z ++ awk '{print $3}' 2025-08-14T21:36:52.1607505Z + PATCH_VERSION=2 2025-08-14T21:36:52.1607744Z + ROCM_INT=60402 2025-08-14T21:36:52.1607861Z + echo 'ROCm version: 60402' 2025-08-14T21:36:52.1607991Z ROCm version: 60402 2025-08-14T21:36:52.1608103Z + export BUILD_ROCM_VERSION=6.4 2025-08-14T21:36:52.1608219Z + BUILD_ROCM_VERSION=6.4 2025-08-14T21:36:52.1608327Z + pip_install tabulate 2025-08-14T21:36:52.1608475Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-08-14T21:36:52.1608651Z + python3 -m pip install --progress-bar off tabulate 2025-08-14T21:36:52.3274157Z Requirement already satisfied: tabulate in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (0.9.0) 2025-08-14T21:36:52.7701490Z + pip_install patchelf 2025-08-14T21:36:52.7703241Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-08-14T21:36:52.7703834Z + python3 -m pip install --progress-bar off patchelf 2025-08-14T21:36:53.0264393Z Collecting patchelf 2025-08-14T21:36:53.1113517Z Downloading patchelf-0.17.2.4-py3-none-manylinux1_x86_64.manylinux_2_5_x86_64.musllinux_1_1_x86_64.whl.metadata (3.7 kB) 2025-08-14T21:36:53.1439969Z Downloading patchelf-0.17.2.4-py3-none-manylinux1_x86_64.manylinux_2_5_x86_64.musllinux_1_1_x86_64.whl (482 kB) 2025-08-14T21:36:53.6333574Z Installing collected packages: patchelf 2025-08-14T21:36:53.6573186Z Successfully installed patchelf-0.17.2.4 2025-08-14T21:36:53.7160742Z + local wheel_dir=dist/fbgemm_gpu 2025-08-14T21:36:53.7161170Z + local found_whl=0 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objects: 52% (100/191) 2025-08-14T21:36:53.9912655Z remote: Counting objects: 53% (102/191) 2025-08-14T21:36:53.9912841Z remote: Counting objects: 54% (104/191) 2025-08-14T21:36:53.9913023Z remote: Counting objects: 55% (106/191) 2025-08-14T21:36:53.9913207Z remote: Counting objects: 56% (107/191) 2025-08-14T21:36:53.9913387Z remote: Counting objects: 57% (109/191) 2025-08-14T21:36:53.9913570Z remote: Counting objects: 58% (111/191) 2025-08-14T21:36:53.9913836Z remote: Counting objects: 59% (113/191) 2025-08-14T21:36:53.9914019Z remote: Counting objects: 60% (115/191) 2025-08-14T21:36:53.9914202Z remote: Counting objects: 61% (117/191) 2025-08-14T21:36:53.9914386Z remote: Counting objects: 62% (119/191) 2025-08-14T21:36:53.9914569Z remote: Counting objects: 63% (121/191) 2025-08-14T21:36:53.9914757Z remote: Counting objects: 64% (123/191) 2025-08-14T21:36:53.9917354Z remote: Counting objects: 65% (125/191) 2025-08-14T21:36:53.9917557Z remote: Counting objects: 66% (127/191) 2025-08-14T21:36:53.9917738Z remote: Counting objects: 67% (128/191) 2025-08-14T21:36:53.9917922Z remote: Counting objects: 68% (130/191) 2025-08-14T21:36:53.9918094Z remote: Counting objects: 69% (132/191) 2025-08-14T21:36:53.9918238Z remote: Counting objects: 70% (134/191) 2025-08-14T21:36:53.9918380Z remote: Counting objects: 71% (136/191) 2025-08-14T21:36:53.9918522Z remote: Counting objects: 72% (138/191) 2025-08-14T21:36:53.9918668Z remote: Counting objects: 73% (140/191) 2025-08-14T21:36:53.9918810Z remote: Counting objects: 74% (142/191) 2025-08-14T21:36:53.9918952Z remote: Counting objects: 75% (144/191) 2025-08-14T21:36:53.9920552Z remote: Counting objects: 76% (146/191) 2025-08-14T21:36:53.9920699Z remote: Counting objects: 77% (148/191) 2025-08-14T21:36:53.9920841Z remote: Counting objects: 78% (149/191) 2025-08-14T21:36:53.9920982Z remote: Counting objects: 79% (151/191) 2025-08-14T21:36:53.9921124Z remote: Counting objects: 80% (153/191) 2025-08-14T21:36:53.9921264Z remote: Counting objects: 81% (155/191) 2025-08-14T21:36:53.9921495Z remote: Counting objects: 82% (157/191) 2025-08-14T21:36:53.9921637Z remote: Counting objects: 83% (159/191) 2025-08-14T21:36:53.9921778Z remote: Counting objects: 84% (161/191) 2025-08-14T21:36:53.9921919Z remote: Counting objects: 85% (163/191) 2025-08-14T21:36:53.9922060Z remote: Counting objects: 86% (165/191) 2025-08-14T21:36:53.9923277Z remote: Counting objects: 87% (167/191) 2025-08-14T21:36:53.9923422Z remote: Counting objects: 88% (169/191) 2025-08-14T21:36:53.9923564Z remote: Counting objects: 89% (170/191) 2025-08-14T21:36:53.9923706Z remote: Counting objects: 90% (172/191) 2025-08-14T21:36:53.9923848Z remote: Counting objects: 91% (174/191) 2025-08-14T21:36:53.9923989Z remote: Counting objects: 92% (176/191) 2025-08-14T21:36:53.9924130Z remote: Counting objects: 93% (178/191) 2025-08-14T21:36:53.9924273Z remote: Counting objects: 94% (180/191) 2025-08-14T21:36:53.9924415Z remote: Counting objects: 95% (182/191) 2025-08-14T21:36:53.9924564Z remote: Counting objects: 96% (184/191) 2025-08-14T21:36:53.9924707Z remote: Counting objects: 97% (186/191) 2025-08-14T21:36:53.9925835Z remote: Counting objects: 98% (188/191) 2025-08-14T21:36:53.9925980Z remote: Counting objects: 99% (190/191) 2025-08-14T21:36:53.9926123Z remote: Counting objects: 100% (191/191) 2025-08-14T21:36:53.9926283Z remote: Counting objects: 100% (191/191), done. 2025-08-14T21:36:53.9927701Z remote: Compressing objects: 0% (1/122) 2025-08-14T21:36:53.9927858Z remote: Compressing objects: 1% (2/122) 2025-08-14T21:36:53.9928009Z remote: Compressing objects: 2% (3/122) 2025-08-14T21:36:53.9928160Z remote: Compressing objects: 3% (4/122) 2025-08-14T21:36:53.9928305Z remote: Compressing objects: 4% (5/122) 2025-08-14T21:36:53.9939197Z remote: Compressing objects: 5% (7/122) 2025-08-14T21:36:53.9947042Z remote: Compressing objects: 6% (8/122) 2025-08-14T21:36:53.9955542Z remote: Compressing objects: 7% (9/122) 2025-08-14T21:36:54.0045444Z remote: Compressing objects: 8% (10/122) 2025-08-14T21:36:54.0126712Z remote: Compressing objects: 9% (11/122) 2025-08-14T21:36:54.0217938Z remote: Compressing objects: 10% (13/122) 2025-08-14T21:36:54.0328853Z remote: Compressing objects: 11% (14/122) 2025-08-14T21:36:54.0359488Z remote: Compressing objects: 12% (15/122) 2025-08-14T21:36:54.0500213Z remote: Compressing objects: 13% (16/122) 2025-08-14T21:36:54.0578776Z remote: Compressing objects: 14% (18/122) 2025-08-14T21:36:54.0641372Z remote: Compressing objects: 15% (19/122) 2025-08-14T21:36:54.0690150Z remote: Compressing objects: 16% (20/122) 2025-08-14T21:36:54.0731841Z remote: Compressing objects: 17% (21/122) 2025-08-14T21:36:54.0777159Z remote: Compressing objects: 18% (22/122) 2025-08-14T21:36:54.0787795Z remote: Compressing objects: 19% (24/122) 2025-08-14T21:36:54.0788341Z remote: Compressing objects: 20% (25/122) 2025-08-14T21:36:54.0798042Z remote: Compressing objects: 21% (26/122) 2025-08-14T21:36:54.0811893Z remote: Compressing objects: 22% (27/122) 2025-08-14T21:36:54.0818519Z remote: Compressing objects: 23% (29/122) 2025-08-14T21:36:54.0828082Z remote: Compressing objects: 24% (30/122) 2025-08-14T21:36:54.0828358Z remote: Compressing objects: 25% (31/122) 2025-08-14T21:36:54.0828643Z remote: Compressing objects: 26% (32/122) 2025-08-14T21:36:54.0832652Z remote: Compressing objects: 27% (33/122) 2025-08-14T21:36:54.0833852Z remote: Compressing objects: 28% (35/122) 2025-08-14T21:36:54.0839554Z remote: Compressing objects: 29% (36/122) 2025-08-14T21:36:54.0842316Z remote: Compressing objects: 30% (37/122) 2025-08-14T21:36:54.0853758Z remote: Compressing objects: 31% (38/122) 2025-08-14T21:36:54.0854667Z remote: Compressing objects: 32% (40/122) 2025-08-14T21:36:54.0855620Z remote: Compressing objects: 33% (41/122) 2025-08-14T21:36:54.0856844Z remote: Compressing objects: 34% (42/122) 2025-08-14T21:36:54.0858688Z remote: Compressing objects: 35% (43/122) 2025-08-14T21:36:54.0862929Z remote: Compressing objects: 36% (44/122) 2025-08-14T21:36:54.0865381Z remote: Compressing objects: 37% (46/122) 2025-08-14T21:36:54.0865638Z remote: Compressing objects: 38% (47/122) 2025-08-14T21:36:54.0866638Z remote: Compressing objects: 39% (48/122) 2025-08-14T21:36:54.0870065Z remote: Compressing objects: 40% (49/122) 2025-08-14T21:36:54.0871562Z remote: Compressing objects: 41% (51/122) 2025-08-14T21:36:54.0873047Z remote: Compressing objects: 42% (52/122) 2025-08-14T21:36:54.0873232Z remote: Compressing objects: 43% (53/122) 2025-08-14T21:36:54.0875606Z remote: Compressing objects: 44% (54/122) 2025-08-14T21:36:54.0877117Z remote: Compressing objects: 45% (55/122) 2025-08-14T21:36:54.0877275Z remote: Compressing objects: 46% (57/122) 2025-08-14T21:36:54.0877946Z remote: Compressing objects: 47% (58/122) 2025-08-14T21:36:54.0879641Z remote: Compressing objects: 48% (59/122) 2025-08-14T21:36:54.0879883Z remote: Compressing objects: 49% (60/122) 2025-08-14T21:36:54.0906096Z remote: Compressing objects: 50% (61/122) 2025-08-14T21:36:54.0906254Z remote: Compressing objects: 51% (63/122) 2025-08-14T21:36:54.0906520Z remote: Compressing objects: 52% (64/122) 2025-08-14T21:36:54.0906671Z remote: Compressing objects: 53% (65/122) 2025-08-14T21:36:54.0906858Z remote: Compressing objects: 54% (66/122) 2025-08-14T21:36:54.0907006Z remote: Compressing objects: 55% (68/122) 2025-08-14T21:36:54.0907154Z remote: Compressing objects: 56% (69/122) 2025-08-14T21:36:54.0907301Z remote: Compressing objects: 57% (70/122) 2025-08-14T21:36:54.0909257Z remote: Compressing objects: 58% (71/122) 2025-08-14T21:36:54.0909411Z remote: Compressing objects: 59% (72/122) 2025-08-14T21:36:54.0909562Z remote: Compressing objects: 60% (74/122) 2025-08-14T21:36:54.0909710Z remote: Compressing objects: 61% (75/122) 2025-08-14T21:36:54.0909863Z remote: Compressing objects: 62% (76/122) 2025-08-14T21:36:54.0910007Z remote: Compressing objects: 63% (77/122) 2025-08-14T21:36:54.0910154Z remote: Compressing objects: 64% (79/122) 2025-08-14T21:36:54.0910299Z remote: Compressing objects: 65% (80/122) 2025-08-14T21:36:54.0910444Z remote: Compressing objects: 66% (81/122) 2025-08-14T21:36:54.0910729Z remote: Compressing objects: 67% (82/122) 2025-08-14T21:36:54.0910876Z remote: Compressing objects: 68% (83/122) 2025-08-14T21:36:54.0911033Z remote: Compressing objects: 69% (85/122) 2025-08-14T21:36:54.0911186Z remote: Compressing objects: 70% (86/122) 2025-08-14T21:36:54.0911337Z remote: Compressing objects: 71% (87/122) 2025-08-14T21:36:54.0911491Z remote: Compressing objects: 72% (88/122) 2025-08-14T21:36:54.0912951Z remote: Compressing objects: 73% (90/122) 2025-08-14T21:36:54.0913099Z remote: Compressing objects: 74% (91/122) 2025-08-14T21:36:54.0913243Z remote: Compressing objects: 75% (92/122) 2025-08-14T21:36:54.0913391Z remote: Compressing objects: 76% (93/122) 2025-08-14T21:36:54.0913535Z remote: Compressing objects: 77% (94/122) 2025-08-14T21:36:54.0913680Z remote: Compressing objects: 78% (96/122) 2025-08-14T21:36:54.0913826Z remote: Compressing objects: 79% (97/122) 2025-08-14T21:36:54.0913970Z remote: Compressing objects: 80% (98/122) 2025-08-14T21:36:54.0914121Z remote: Compressing objects: 81% (99/122) 2025-08-14T21:36:54.0914270Z remote: Compressing objects: 82% (101/122) 2025-08-14T21:36:54.0914422Z remote: Compressing objects: 83% (102/122) 2025-08-14T21:36:54.0914571Z remote: Compressing objects: 84% (103/122) 2025-08-14T21:36:54.0915766Z remote: Compressing objects: 85% (104/122) 2025-08-14T21:36:54.0915915Z remote: Compressing objects: 86% (105/122) 2025-08-14T21:36:54.0916063Z remote: Compressing objects: 87% (107/122) 2025-08-14T21:36:54.0916211Z remote: Compressing objects: 88% (108/122) 2025-08-14T21:36:54.0916358Z remote: Compressing objects: 89% (109/122) 2025-08-14T21:36:54.0916652Z remote: Compressing objects: 90% (110/122) 2025-08-14T21:36:54.0916799Z remote: Compressing objects: 91% (112/122) 2025-08-14T21:36:54.0916947Z remote: Compressing objects: 92% (113/122) 2025-08-14T21:36:54.0917095Z remote: Compressing objects: 93% (114/122) 2025-08-14T21:36:54.0917248Z remote: Compressing objects: 94% (115/122) 2025-08-14T21:36:54.0917396Z remote: Compressing objects: 95% (116/122) 2025-08-14T21:36:54.0917544Z remote: Compressing objects: 96% (118/122) 2025-08-14T21:36:54.0917693Z remote: Compressing objects: 97% (119/122) 2025-08-14T21:36:54.0917840Z remote: Compressing objects: 98% (120/122) 2025-08-14T21:36:54.0917987Z remote: Compressing objects: 99% (121/122) 2025-08-14T21:36:54.0918142Z remote: Compressing objects: 100% (122/122) 2025-08-14T21:36:54.0919382Z remote: Compressing objects: 100% (122/122), done. 2025-08-14T21:36:54.1440642Z Receiving objects: 0% (1/59544) 2025-08-14T21:36:54.1560540Z Receiving objects: 1% (596/59544) 2025-08-14T21:36:54.1670309Z Receiving objects: 2% (1191/59544) 2025-08-14T21:36:54.1780580Z Receiving objects: 3% (1787/59544) 2025-08-14T21:36:54.1919512Z Receiving objects: 4% (2382/59544) 2025-08-14T21:36:54.1994392Z Receiving objects: 5% (2978/59544) 2025-08-14T21:36:54.2094961Z Receiving objects: 6% (3573/59544) 2025-08-14T21:36:54.2132845Z Receiving objects: 7% (4169/59544) 2025-08-14T21:36:54.2171769Z Receiving objects: 8% (4764/59544) 2025-08-14T21:36:54.2210831Z Receiving objects: 9% (5359/59544) 2025-08-14T21:36:54.2265316Z Receiving objects: 10% (5955/59544) 2025-08-14T21:36:54.2473152Z Receiving objects: 11% (6550/59544) 2025-08-14T21:36:54.2516929Z Receiving objects: 12% (7146/59544) 2025-08-14T21:36:54.2620854Z Receiving objects: 13% (7741/59544) 2025-08-14T21:36:54.2728349Z Receiving objects: 14% (8337/59544) 2025-08-14T21:36:54.2845821Z Receiving objects: 15% (8932/59544) 2025-08-14T21:36:54.3006200Z Receiving objects: 16% (9528/59544) 2025-08-14T21:36:54.3077468Z Receiving objects: 17% (10123/59544) 2025-08-14T21:36:54.3130360Z Receiving objects: 18% (10718/59544) 2025-08-14T21:36:54.3204977Z Receiving objects: 19% (11314/59544) 2025-08-14T21:36:54.3269257Z Receiving objects: 20% (11909/59544) 2025-08-14T21:36:54.3319175Z Receiving objects: 21% (12505/59544) 2025-08-14T21:36:54.3381870Z Receiving objects: 22% (13100/59544) 2025-08-14T21:36:54.3449258Z Receiving objects: 23% (13696/59544) 2025-08-14T21:36:54.3524177Z Receiving objects: 24% (14291/59544) 2025-08-14T21:36:54.3569160Z Receiving objects: 25% (14886/59544) 2025-08-14T21:36:54.3639370Z Receiving objects: 26% (15482/59544) 2025-08-14T21:36:54.3709300Z Receiving objects: 27% (16077/59544) 2025-08-14T21:36:54.3764307Z Receiving objects: 28% (16673/59544) 2025-08-14T21:36:54.3820879Z Receiving objects: 29% (17268/59544) 2025-08-14T21:36:54.3891733Z Receiving objects: 30% (17864/59544) 2025-08-14T21:36:54.3939700Z Receiving objects: 31% (18459/59544) 2025-08-14T21:36:54.3982035Z Receiving objects: 32% (19055/59544) 2025-08-14T21:36:54.4037796Z Receiving objects: 33% (19650/59544) 2025-08-14T21:36:54.4075163Z Receiving objects: 34% (20245/59544) 2025-08-14T21:36:54.4144485Z Receiving objects: 35% (20841/59544) 2025-08-14T21:36:54.4208989Z Receiving objects: 36% (21436/59544) 2025-08-14T21:36:54.4276018Z Receiving objects: 37% (22032/59544) 2025-08-14T21:36:54.4362674Z Receiving objects: 38% (22627/59544) 2025-08-14T21:36:54.4440084Z Receiving objects: 39% (23223/59544) 2025-08-14T21:36:54.4482785Z Receiving objects: 40% (23818/59544) 2025-08-14T21:36:54.4539604Z Receiving objects: 41% (24414/59544) 2025-08-14T21:36:54.4587432Z Receiving objects: 42% (25009/59544) 2025-08-14T21:36:54.4625022Z Receiving objects: 43% (25604/59544) 2025-08-14T21:36:54.4659175Z Receiving objects: 44% (26200/59544) 2025-08-14T21:36:54.4684394Z Receiving objects: 45% (26795/59544) 2025-08-14T21:36:54.4708651Z Receiving objects: 46% (27391/59544) 2025-08-14T21:36:54.4732492Z Receiving objects: 47% (27986/59544) 2025-08-14T21:36:54.4749312Z Receiving objects: 48% (28582/59544) 2025-08-14T21:36:54.4776995Z Receiving objects: 49% (29177/59544) 2025-08-14T21:36:54.4819946Z Receiving objects: 50% (29772/59544) 2025-08-14T21:36:54.4890138Z Receiving objects: 51% (30368/59544) 2025-08-14T21:36:54.4946897Z Receiving objects: 52% (30963/59544) 2025-08-14T21:36:54.4986608Z Receiving objects: 53% (31559/59544) 2025-08-14T21:36:54.5027865Z Receiving objects: 54% (32154/59544) 2025-08-14T21:36:54.5067710Z Receiving objects: 55% (32750/59544) 2025-08-14T21:36:54.5074567Z Receiving objects: 56% (33345/59544) 2025-08-14T21:36:54.5092770Z Receiving objects: 57% (33941/59544) 2025-08-14T21:36:54.5132347Z Receiving objects: 58% (34536/59544) 2025-08-14T21:36:54.5163644Z Receiving objects: 59% (35131/59544) 2025-08-14T21:36:54.5195157Z Receiving objects: 60% (35727/59544) 2025-08-14T21:36:54.5226014Z Receiving objects: 61% (36322/59544) 2025-08-14T21:36:54.5251589Z Receiving objects: 62% (36918/59544) 2025-08-14T21:36:54.5283016Z Receiving objects: 63% (37513/59544) 2025-08-14T21:36:54.5351735Z Receiving objects: 64% (38109/59544) 2025-08-14T21:36:54.5377944Z Receiving objects: 65% (38704/59544) 2025-08-14T21:36:54.5385190Z Receiving objects: 66% (39300/59544) 2025-08-14T21:36:54.5394278Z Receiving objects: 67% (39895/59544) 2025-08-14T21:36:54.5410142Z Receiving objects: 68% (40490/59544) 2025-08-14T21:36:54.5424344Z Receiving objects: 69% (41086/59544) 2025-08-14T21:36:54.5429870Z Receiving objects: 70% (41681/59544) 2025-08-14T21:36:54.5433406Z Receiving objects: 71% (42277/59544) 2025-08-14T21:36:54.5442630Z Receiving objects: 72% (42872/59544) 2025-08-14T21:36:54.5453582Z Receiving objects: 73% (43468/59544) 2025-08-14T21:36:54.5467890Z Receiving objects: 74% (44063/59544) 2025-08-14T21:36:54.5479384Z Receiving objects: 75% (44658/59544) 2025-08-14T21:36:54.5493141Z Receiving objects: 76% (45254/59544) 2025-08-14T21:36:54.5502824Z Receiving objects: 77% (45849/59544) 2025-08-14T21:36:54.5511182Z Receiving objects: 78% (46445/59544) 2025-08-14T21:36:54.5524119Z Receiving objects: 79% (47040/59544) 2025-08-14T21:36:54.5539134Z Receiving objects: 80% (47636/59544) 2025-08-14T21:36:54.5554506Z Receiving objects: 81% (48231/59544) 2025-08-14T21:36:54.5564372Z Receiving objects: 82% (48827/59544) 2025-08-14T21:36:54.5574139Z Receiving objects: 83% (49422/59544) 2025-08-14T21:36:54.5592781Z Receiving objects: 84% (50017/59544) 2025-08-14T21:36:54.5605549Z Receiving objects: 85% (50613/59544) 2025-08-14T21:36:54.5625599Z Receiving objects: 86% (51208/59544) 2025-08-14T21:36:54.5632884Z Receiving objects: 87% (51804/59544) 2025-08-14T21:36:54.5650153Z Receiving objects: 88% (52399/59544) 2025-08-14T21:36:54.5658246Z Receiving objects: 89% (52995/59544) 2025-08-14T21:36:54.5670954Z Receiving objects: 90% (53590/59544) 2025-08-14T21:36:54.5681207Z Receiving objects: 91% (54186/59544) 2025-08-14T21:36:54.5691199Z Receiving objects: 92% (54781/59544) 2025-08-14T21:36:54.5700699Z Receiving objects: 93% (55376/59544) 2025-08-14T21:36:54.5712278Z Receiving objects: 94% (55972/59544) 2025-08-14T21:36:54.5737599Z Receiving objects: 95% (56567/59544) 2025-08-14T21:36:54.5746600Z Receiving objects: 96% (57163/59544) 2025-08-14T21:36:54.5763396Z Receiving objects: 97% (57758/59544) 2025-08-14T21:36:54.5782581Z Receiving objects: 98% (58354/59544) 2025-08-14T21:36:54.5905602Z Receiving objects: 99% (58949/59544) 2025-08-14T21:36:54.5906989Z remote: Total 59544 (delta 127), reused 71 (delta 69), pack-reused 59353 (from 2) 2025-08-14T21:36:54.5917950Z Receiving objects: 100% (59544/59544) 2025-08-14T21:36:54.5918989Z Receiving objects: 100% (59544/59544), 32.31 MiB | 65.78 MiB/s, done. 2025-08-14T21:36:54.5969296Z Resolving deltas: 0% (0/47465) 2025-08-14T21:36:54.5994656Z Resolving deltas: 1% (475/47465) 2025-08-14T21:36:54.6039518Z Resolving deltas: 2% (951/47465) 2025-08-14T21:36:54.6052771Z Resolving deltas: 3% (1424/47465) 2025-08-14T21:36:54.6065704Z Resolving deltas: 4% (1900/47465) 2025-08-14T21:36:54.6078902Z Resolving deltas: 5% (2375/47465) 2025-08-14T21:36:54.6094330Z Resolving deltas: 6% (2849/47465) 2025-08-14T21:36:54.6109016Z Resolving deltas: 7% (3324/47465) 2025-08-14T21:36:54.6124602Z Resolving deltas: 8% (3798/47465) 2025-08-14T21:36:54.6140792Z Resolving deltas: 9% (4272/47465) 2025-08-14T21:36:54.6152254Z Resolving deltas: 10% (4747/47465) 2025-08-14T21:36:54.6167398Z Resolving deltas: 11% (5223/47465) 2025-08-14T21:36:54.6179958Z Resolving deltas: 12% (5696/47465) 2025-08-14T21:36:54.6204038Z Resolving deltas: 13% (6171/47465) 2025-08-14T21:36:54.6227226Z Resolving deltas: 14% (6646/47465) 2025-08-14T21:36:54.6244249Z Resolving deltas: 15% (7120/47465) 2025-08-14T21:36:54.6258870Z Resolving deltas: 16% (7598/47465) 2025-08-14T21:36:54.6272890Z Resolving deltas: 17% (8070/47465) 2025-08-14T21:36:54.6288883Z Resolving deltas: 18% (8545/47465) 2025-08-14T21:36:54.6304635Z Resolving deltas: 19% (9019/47465) 2025-08-14T21:36:54.6318790Z Resolving deltas: 20% (9493/47465) 2025-08-14T21:36:54.6333498Z Resolving deltas: 21% (9968/47465) 2025-08-14T21:36:54.6350209Z Resolving deltas: 22% (10443/47465) 2025-08-14T21:36:54.6363987Z Resolving deltas: 23% (10917/47465) 2025-08-14T21:36:54.6380182Z Resolving deltas: 24% (11392/47465) 2025-08-14T21:36:54.6451285Z Resolving deltas: 25% (11867/47465) 2025-08-14T21:36:54.6494950Z Resolving deltas: 26% (12341/47465) 2025-08-14T21:36:54.6521960Z Resolving deltas: 27% (12816/47465) 2025-08-14T21:36:54.6545724Z Resolving deltas: 28% (13291/47465) 2025-08-14T21:36:54.6562570Z Resolving deltas: 29% (13765/47465) 2025-08-14T21:36:54.6574583Z Resolving deltas: 30% (14240/47465) 2025-08-14T21:36:54.6588619Z Resolving deltas: 31% (14715/47465) 2025-08-14T21:36:54.6602492Z Resolving deltas: 32% (15190/47465) 2025-08-14T21:36:54.6614780Z Resolving deltas: 33% (15664/47465) 2025-08-14T21:36:54.6626019Z Resolving deltas: 34% (16139/47465) 2025-08-14T21:36:54.6637559Z Resolving deltas: 35% (16614/47465) 2025-08-14T21:36:54.6651992Z Resolving deltas: 36% (17088/47465) 2025-08-14T21:36:54.6705255Z Resolving deltas: 37% (17563/47465) 2025-08-14T21:36:54.6781357Z Resolving deltas: 38% (18037/47465) 2025-08-14T21:36:54.6852155Z Resolving deltas: 39% (18512/47465) 2025-08-14T21:36:54.6920460Z Resolving deltas: 40% (18986/47465) 2025-08-14T21:36:54.6972728Z Resolving deltas: 41% (19461/47465) 2025-08-14T21:36:54.7088164Z Resolving deltas: 42% (19936/47465) 2025-08-14T21:36:54.7248604Z Resolving deltas: 43% (20410/47465) 2025-08-14T21:36:54.7271525Z Resolving deltas: 44% (20885/47465) 2025-08-14T21:36:54.7289958Z Resolving deltas: 45% (21360/47465) 2025-08-14T21:36:54.7305573Z Resolving deltas: 46% (21834/47465) 2025-08-14T21:36:54.7317346Z Resolving deltas: 47% (22309/47465) 2025-08-14T21:36:54.7330454Z Resolving deltas: 48% (22785/47465) 2025-08-14T21:36:54.7397304Z Resolving deltas: 49% (23258/47465) 2025-08-14T21:36:54.7481590Z Resolving deltas: 50% (23733/47465) 2025-08-14T21:36:54.7500213Z Resolving deltas: 51% (24208/47465) 2025-08-14T21:36:54.7524810Z Resolving deltas: 52% (24682/47465) 2025-08-14T21:36:54.7540234Z Resolving deltas: 53% (25157/47465) 2025-08-14T21:36:54.7558205Z Resolving deltas: 54% (25632/47465) 2025-08-14T21:36:54.7579600Z Resolving deltas: 55% (26106/47465) 2025-08-14T21:36:54.7599401Z Resolving deltas: 56% (26581/47465) 2025-08-14T21:36:54.7618205Z Resolving deltas: 57% (27056/47465) 2025-08-14T21:36:54.7635738Z Resolving deltas: 58% (27530/47465) 2025-08-14T21:36:54.7656328Z Resolving deltas: 59% (28005/47465) 2025-08-14T21:36:54.7671450Z Resolving deltas: 60% (28479/47465) 2025-08-14T21:36:54.7686242Z Resolving deltas: 61% (28955/47465) 2025-08-14T21:36:54.7703594Z Resolving deltas: 62% (29430/47465) 2025-08-14T21:36:54.7719403Z Resolving deltas: 63% (29903/47465) 2025-08-14T21:36:54.7737565Z Resolving deltas: 64% (30378/47465) 2025-08-14T21:36:54.7751423Z Resolving deltas: 65% (30853/47465) 2025-08-14T21:36:54.7776316Z Resolving deltas: 66% (31327/47465) 2025-08-14T21:36:54.7794306Z Resolving deltas: 67% (31802/47465) 2025-08-14T21:36:54.7813514Z Resolving deltas: 68% (32278/47465) 2025-08-14T21:36:54.7836355Z Resolving deltas: 69% (32751/47465) 2025-08-14T21:36:54.7863069Z Resolving deltas: 70% (33226/47465) 2025-08-14T21:36:54.7887801Z Resolving deltas: 71% (33701/47465) 2025-08-14T21:36:54.7902132Z Resolving deltas: 72% (34175/47465) 2025-08-14T21:36:54.7920865Z Resolving deltas: 73% (34650/47465) 2025-08-14T21:36:54.7941447Z Resolving deltas: 74% (35125/47465) 2025-08-14T21:36:54.7961280Z Resolving deltas: 75% (35599/47465) 2025-08-14T21:36:54.7978415Z Resolving deltas: 76% (36075/47465) 2025-08-14T21:36:54.7998429Z Resolving deltas: 77% (36549/47465) 2025-08-14T21:36:54.8018897Z Resolving deltas: 78% (37023/47465) 2025-08-14T21:36:54.8038749Z Resolving deltas: 79% (37498/47465) 2025-08-14T21:36:54.8059945Z Resolving deltas: 80% (37972/47465) 2025-08-14T21:36:54.8078542Z Resolving deltas: 81% (38447/47465) 2025-08-14T21:36:54.8099328Z Resolving deltas: 82% (38922/47465) 2025-08-14T21:36:54.8114361Z Resolving deltas: 83% (39396/47465) 2025-08-14T21:36:54.8131549Z Resolving deltas: 84% (39872/47465) 2025-08-14T21:36:54.8146381Z Resolving deltas: 85% (40346/47465) 2025-08-14T21:36:54.8161108Z Resolving deltas: 86% (40820/47465) 2025-08-14T21:36:54.8182955Z Resolving deltas: 87% (41295/47465) 2025-08-14T21:36:54.8203031Z Resolving deltas: 88% (41770/47465) 2025-08-14T21:36:54.8226974Z Resolving deltas: 89% (42244/47465) 2025-08-14T21:36:54.8248695Z Resolving deltas: 90% (42719/47465) 2025-08-14T21:36:54.8268439Z Resolving deltas: 91% (43194/47465) 2025-08-14T21:36:54.8290093Z Resolving deltas: 92% (43668/47465) 2025-08-14T21:36:54.8309666Z Resolving deltas: 93% (44143/47465) 2025-08-14T21:36:54.8337662Z Resolving deltas: 94% (44618/47465) 2025-08-14T21:36:54.8359746Z Resolving deltas: 95% (45092/47465) 2025-08-14T21:36:54.8378731Z Resolving deltas: 96% (45567/47465) 2025-08-14T21:36:54.8399877Z Resolving deltas: 97% (46042/47465) 2025-08-14T21:36:54.8423634Z Resolving deltas: 98% (46516/47465) 2025-08-14T21:36:54.8458244Z Resolving deltas: 99% (46991/47465) 2025-08-14T21:36:54.8459312Z Resolving deltas: 100% (47465/47465) 2025-08-14T21:36:54.8459602Z Resolving deltas: 100% (47465/47465), done. 2025-08-14T21:36:54.9638052Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'external/asmjit' 2025-08-14T21:36:54.9642874Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'external/composable_kernel' 2025-08-14T21:36:54.9643923Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'external/cpuinfo' 2025-08-14T21:36:54.9644751Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'external/cutlass' 2025-08-14T21:36:54.9645606Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'external/googletest' 2025-08-14T21:36:54.9646868Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'external/hipify_torch' 2025-08-14T21:36:54.9647404Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'external/json' 2025-08-14T21:36:54.9699061Z Cloning into '/var/lib/jenkins/pytorch/fbgemm/external/asmjit'... 2025-08-14T21:36:55.1918031Z remote: Enumerating objects: 7290, done. 2025-08-14T21:36:55.1918488Z remote: Counting objects: 0% (1/1627) 2025-08-14T21:36:55.1918860Z remote: Counting objects: 1% (17/1627) 2025-08-14T21:36:55.1919230Z remote: Counting objects: 2% (33/1627) 2025-08-14T21:36:55.1919581Z remote: Counting objects: 3% (49/1627) 2025-08-14T21:36:55.1920068Z remote: Counting objects: 4% (66/1627) 2025-08-14T21:36:55.1927165Z remote: Counting objects: 5% (82/1627) 2025-08-14T21:36:55.1927547Z remote: Counting objects: 6% (98/1627) 2025-08-14T21:36:55.1927748Z remote: Counting objects: 7% (114/1627) 2025-08-14T21:36:55.1928223Z remote: Counting objects: 8% (131/1627) 2025-08-14T21:36:55.1928416Z remote: Counting objects: 9% (147/1627) 2025-08-14T21:36:55.1928606Z remote: Counting objects: 10% (163/1627) 2025-08-14T21:36:55.1928786Z remote: Counting objects: 11% (179/1627) 2025-08-14T21:36:55.1928983Z remote: Counting objects: 12% (196/1627) 2025-08-14T21:36:55.1929175Z remote: Counting objects: 13% (212/1627) 2025-08-14T21:36:55.1929353Z remote: Counting objects: 14% (228/1627) 2025-08-14T21:36:55.1929543Z remote: Counting objects: 15% (245/1627) 2025-08-14T21:36:55.1929732Z remote: Counting objects: 16% (261/1627) 2025-08-14T21:36:55.1929914Z remote: Counting objects: 17% (277/1627) 2025-08-14T21:36:55.1930104Z remote: Counting objects: 18% (293/1627) 2025-08-14T21:36:55.1930309Z remote: Counting objects: 19% (310/1627) 2025-08-14T21:36:55.1930509Z remote: Counting objects: 20% (326/1627) 2025-08-14T21:36:55.1930712Z remote: Counting objects: 21% (342/1627) 2025-08-14T21:36:55.1930896Z remote: Counting objects: 22% (358/1627) 2025-08-14T21:36:55.1931087Z remote: Counting objects: 23% (375/1627) 2025-08-14T21:36:55.1931282Z remote: Counting objects: 24% (391/1627) 2025-08-14T21:36:55.1931482Z remote: Counting objects: 25% (407/1627) 2025-08-14T21:36:55.1934004Z remote: Counting objects: 26% (424/1627) 2025-08-14T21:36:55.1934205Z remote: Counting objects: 27% (440/1627) 2025-08-14T21:36:55.1934392Z remote: Counting objects: 28% (456/1627) 2025-08-14T21:36:55.2058989Z remote: Counting objects: 29% (472/1627) 2025-08-14T21:36:55.2059594Z remote: Counting objects: 30% (489/1627) 2025-08-14T21:36:55.2059873Z remote: Counting objects: 31% (505/1627) 2025-08-14T21:36:55.2060116Z remote: Counting objects: 32% (521/1627) 2025-08-14T21:36:55.2060341Z remote: Counting objects: 33% (537/1627) 2025-08-14T21:36:55.2060581Z remote: Counting objects: 34% (554/1627) 2025-08-14T21:36:55.2060806Z remote: Counting objects: 35% (570/1627) 2025-08-14T21:36:55.2061035Z remote: Counting objects: 36% (586/1627) 2025-08-14T21:36:55.2061258Z remote: Counting objects: 37% (602/1627) 2025-08-14T21:36:55.2061681Z remote: Counting objects: 38% (619/1627) 2025-08-14T21:36:55.2061909Z remote: Counting objects: 39% (635/1627) 2025-08-14T21:36:55.2062128Z remote: Counting objects: 40% (651/1627) 2025-08-14T21:36:55.2062352Z remote: Counting objects: 41% (668/1627) 2025-08-14T21:36:55.2062579Z remote: Counting objects: 42% (684/1627) 2025-08-14T21:36:55.2066947Z remote: Counting objects: 43% (700/1627) 2025-08-14T21:36:55.2067180Z remote: Counting objects: 44% (716/1627) 2025-08-14T21:36:55.2067378Z remote: Counting objects: 45% (733/1627) 2025-08-14T21:36:55.2067577Z remote: Counting objects: 46% (749/1627) 2025-08-14T21:36:55.2067769Z remote: Counting objects: 47% (765/1627) 2025-08-14T21:36:55.2067963Z remote: Counting objects: 48% (781/1627) 2025-08-14T21:36:55.2068163Z remote: Counting objects: 49% (798/1627) 2025-08-14T21:36:55.2068357Z remote: Counting objects: 50% (814/1627) 2025-08-14T21:36:55.2068554Z remote: Counting objects: 51% (830/1627) 2025-08-14T21:36:55.2068744Z remote: Counting objects: 52% (847/1627) 2025-08-14T21:36:55.2068937Z remote: Counting objects: 53% (863/1627) 2025-08-14T21:36:55.2069135Z remote: Counting objects: 54% (879/1627) 2025-08-14T21:36:55.2069329Z remote: Counting objects: 55% (895/1627) 2025-08-14T21:36:55.2069518Z remote: Counting objects: 56% (912/1627) 2025-08-14T21:36:55.2069708Z remote: Counting objects: 57% (928/1627) 2025-08-14T21:36:55.2069904Z remote: Counting objects: 58% (944/1627) 2025-08-14T21:36:55.2070188Z remote: Counting objects: 59% (960/1627) 2025-08-14T21:36:55.2070376Z remote: Counting objects: 60% (977/1627) 2025-08-14T21:36:55.2070574Z remote: Counting objects: 61% (993/1627) 2025-08-14T21:36:55.2070774Z remote: Counting objects: 62% (1009/1627) 2025-08-14T21:36:55.2070976Z remote: Counting objects: 63% (1026/1627) 2025-08-14T21:36:55.2071184Z remote: Counting objects: 64% (1042/1627) 2025-08-14T21:36:55.2071385Z remote: Counting objects: 65% (1058/1627) 2025-08-14T21:36:55.2071581Z remote: Counting objects: 66% (1074/1627) 2025-08-14T21:36:55.2071773Z remote: Counting objects: 67% (1091/1627) 2025-08-14T21:36:55.2071969Z remote: Counting objects: 68% (1107/1627) 2025-08-14T21:36:55.2072168Z remote: Counting objects: 69% (1123/1627) 2025-08-14T21:36:55.2072367Z remote: Counting objects: 70% (1139/1627) 2025-08-14T21:36:55.2072568Z remote: Counting objects: 71% (1156/1627) 2025-08-14T21:36:55.2072774Z remote: Counting objects: 72% (1172/1627) 2025-08-14T21:36:55.2072974Z remote: Counting objects: 73% (1188/1627) 2025-08-14T21:36:55.2073178Z remote: Counting objects: 74% (1204/1627) 2025-08-14T21:36:55.2075555Z remote: Counting objects: 75% (1221/1627) 2025-08-14T21:36:55.2075766Z remote: Counting objects: 76% (1237/1627) 2025-08-14T21:36:55.2075968Z remote: Counting objects: 77% (1253/1627) 2025-08-14T21:36:55.2076161Z remote: Counting objects: 78% (1270/1627) 2025-08-14T21:36:55.2076359Z remote: Counting objects: 79% (1286/1627) 2025-08-14T21:36:55.2076638Z remote: Counting objects: 80% (1302/1627) 2025-08-14T21:36:55.2076835Z remote: Counting objects: 81% (1318/1627) 2025-08-14T21:36:55.2077035Z remote: Counting objects: 82% (1335/1627) 2025-08-14T21:36:55.2077185Z remote: Counting objects: 83% (1351/1627) 2025-08-14T21:36:55.2077337Z remote: Counting objects: 84% (1367/1627) 2025-08-14T21:36:55.2077495Z remote: Counting objects: 85% (1383/1627) 2025-08-14T21:36:55.2077645Z remote: Counting objects: 86% (1400/1627) 2025-08-14T21:36:55.2077795Z remote: Counting objects: 87% (1416/1627) 2025-08-14T21:36:55.2077945Z remote: Counting objects: 88% (1432/1627) 2025-08-14T21:36:55.2078097Z remote: Counting objects: 89% (1449/1627) 2025-08-14T21:36:55.2078306Z remote: Counting objects: 90% (1465/1627) 2025-08-14T21:36:55.2078457Z remote: Counting objects: 91% (1481/1627) 2025-08-14T21:36:55.2078607Z remote: Counting objects: 92% (1497/1627) 2025-08-14T21:36:55.2078757Z remote: Counting objects: 93% (1514/1627) 2025-08-14T21:36:55.2078905Z remote: Counting objects: 94% (1530/1627) 2025-08-14T21:36:55.2079051Z remote: Counting objects: 95% (1546/1627) 2025-08-14T21:36:55.2079201Z remote: Counting objects: 96% (1562/1627) 2025-08-14T21:36:55.2079350Z remote: Counting objects: 97% (1579/1627) 2025-08-14T21:36:55.2079504Z remote: Counting objects: 98% (1595/1627) 2025-08-14T21:36:55.2079653Z remote: Counting objects: 99% (1611/1627) 2025-08-14T21:36:55.2079866Z remote: Counting objects: 100% (1627/1627) 2025-08-14T21:36:55.2081716Z remote: Counting objects: 100% (1627/1627), done. 2025-08-14T21:36:55.2081896Z remote: Compressing objects: 0% (1/541) 2025-08-14T21:36:55.2082058Z remote: Compressing objects: 1% (6/541) 2025-08-14T21:36:55.2082210Z remote: Compressing objects: 2% (11/541) 2025-08-14T21:36:55.2082365Z remote: Compressing objects: 3% (17/541) 2025-08-14T21:36:55.2130626Z remote: Compressing objects: 4% (22/541) 2025-08-14T21:36:55.2169204Z remote: Compressing objects: 5% (28/541) 2025-08-14T21:36:55.2227069Z remote: Compressing objects: 6% (33/541) 2025-08-14T21:36:55.2290756Z remote: Compressing objects: 7% (38/541) 2025-08-14T21:36:55.2362791Z remote: Compressing objects: 8% (44/541) 2025-08-14T21:36:55.2431159Z remote: Compressing objects: 9% (49/541) 2025-08-14T21:36:55.2512290Z remote: Compressing objects: 10% (55/541) 2025-08-14T21:36:55.2574145Z remote: Compressing objects: 11% (60/541) 2025-08-14T21:36:55.2584873Z remote: Compressing objects: 12% (65/541) 2025-08-14T21:36:55.2601530Z remote: Compressing objects: 13% (71/541) 2025-08-14T21:36:55.2613794Z remote: Compressing objects: 14% (76/541) 2025-08-14T21:36:55.2628107Z remote: Compressing objects: 15% (82/541) 2025-08-14T21:36:55.2652624Z remote: Compressing objects: 16% (87/541) 2025-08-14T21:36:55.2682584Z remote: Compressing objects: 17% (92/541) 2025-08-14T21:36:55.2740473Z remote: Compressing objects: 18% (98/541) 2025-08-14T21:36:55.2828741Z remote: Compressing objects: 19% (103/541) 2025-08-14T21:36:55.2949794Z remote: Compressing objects: 20% (109/541) 2025-08-14T21:36:55.3379088Z remote: Compressing objects: 21% (114/541) 2025-08-14T21:36:55.3657756Z remote: Compressing objects: 22% (120/541) 2025-08-14T21:36:55.4070975Z remote: Compressing objects: 23% (125/541) 2025-08-14T21:36:55.4191153Z remote: Compressing objects: 24% (130/541) 2025-08-14T21:36:55.4289641Z remote: Compressing objects: 25% (136/541) 2025-08-14T21:36:55.4387331Z remote: Compressing objects: 26% (141/541) 2025-08-14T21:36:55.4474520Z remote: Compressing objects: 27% (147/541) 2025-08-14T21:36:55.4611369Z remote: Compressing objects: 28% (152/541) 2025-08-14T21:36:55.4716153Z remote: Compressing objects: 29% (157/541) 2025-08-14T21:36:55.4871840Z remote: Compressing objects: 30% (163/541) 2025-08-14T21:36:55.4960151Z remote: Compressing objects: 31% (168/541) 2025-08-14T21:36:55.5083791Z remote: Compressing objects: 32% (174/541) 2025-08-14T21:36:55.5165547Z remote: Compressing objects: 33% (179/541) 2025-08-14T21:36:55.5254825Z remote: Compressing objects: 34% (184/541) 2025-08-14T21:36:55.5344511Z remote: Compressing objects: 35% (190/541) 2025-08-14T21:36:55.5370896Z remote: Compressing objects: 36% (195/541) 2025-08-14T21:36:55.5445112Z remote: Compressing objects: 37% (201/541) 2025-08-14T21:36:55.5512174Z remote: Compressing objects: 38% (206/541) 2025-08-14T21:36:55.5575651Z remote: Compressing objects: 39% (211/541) 2025-08-14T21:36:55.5622684Z remote: Compressing objects: 40% (217/541) 2025-08-14T21:36:55.5658886Z remote: Compressing objects: 41% (222/541) 2025-08-14T21:36:55.5707572Z remote: Compressing objects: 42% (228/541) 2025-08-14T21:36:55.5731961Z remote: Compressing objects: 43% (233/541) 2025-08-14T21:36:55.5778898Z remote: Compressing objects: 44% (239/541) 2025-08-14T21:36:55.5813243Z remote: Compressing objects: 45% (244/541) 2025-08-14T21:36:55.5862956Z remote: Compressing objects: 46% (249/541) 2025-08-14T21:36:55.5892314Z remote: Compressing objects: 47% (255/541) 2025-08-14T21:36:55.5930699Z remote: Compressing objects: 48% (260/541) 2025-08-14T21:36:55.5963568Z remote: Compressing objects: 49% (266/541) 2025-08-14T21:36:55.5982317Z remote: Compressing objects: 50% (271/541) 2025-08-14T21:36:55.6010804Z remote: Compressing objects: 51% (276/541) 2025-08-14T21:36:55.6026113Z remote: Compressing objects: 52% (282/541) 2025-08-14T21:36:55.6039637Z remote: Compressing objects: 53% (287/541) 2025-08-14T21:36:55.6051411Z remote: Compressing objects: 54% (293/541) 2025-08-14T21:36:55.6067527Z remote: Compressing objects: 55% (298/541) 2025-08-14T21:36:55.6077036Z remote: Compressing objects: 56% (303/541) 2025-08-14T21:36:55.6084718Z remote: Compressing objects: 57% (309/541) 2025-08-14T21:36:55.6090499Z remote: Compressing objects: 58% (314/541) 2025-08-14T21:36:55.6097237Z remote: Compressing objects: 59% (320/541) 2025-08-14T21:36:55.6103312Z remote: Compressing objects: 60% (325/541) 2025-08-14T21:36:55.6107488Z remote: Compressing objects: 61% (331/541) 2025-08-14T21:36:55.6115935Z remote: Compressing objects: 62% (336/541) 2025-08-14T21:36:55.6117096Z remote: Compressing objects: 63% (341/541) 2025-08-14T21:36:55.6117272Z remote: Compressing objects: 64% (347/541) 2025-08-14T21:36:55.6117422Z remote: Compressing objects: 65% (352/541) 2025-08-14T21:36:55.6119808Z remote: Compressing objects: 66% (358/541) 2025-08-14T21:36:55.6133488Z remote: Compressing objects: 67% (363/541) 2025-08-14T21:36:55.6133840Z remote: Compressing objects: 68% (368/541) 2025-08-14T21:36:55.6134098Z remote: Compressing objects: 69% (374/541) 2025-08-14T21:36:55.6134319Z remote: Compressing objects: 70% (379/541) 2025-08-14T21:36:55.6135833Z remote: Compressing objects: 71% (385/541) 2025-08-14T21:36:55.6137189Z remote: Compressing objects: 72% (390/541) 2025-08-14T21:36:55.6138609Z remote: Compressing objects: 73% (395/541) 2025-08-14T21:36:55.6139304Z remote: Compressing objects: 74% (401/541) 2025-08-14T21:36:55.6141148Z remote: Compressing objects: 75% (406/541) 2025-08-14T21:36:55.6141354Z remote: Compressing objects: 76% (412/541) 2025-08-14T21:36:55.6141541Z remote: Compressing objects: 77% (417/541) 2025-08-14T21:36:55.6143318Z remote: Compressing objects: 78% (422/541) 2025-08-14T21:36:55.6143522Z remote: Compressing objects: 79% (428/541) 2025-08-14T21:36:55.6144668Z remote: Compressing objects: 80% (433/541) 2025-08-14T21:36:55.6148350Z remote: Compressing objects: 81% (439/541) 2025-08-14T21:36:55.6152694Z remote: Compressing objects: 82% (444/541) 2025-08-14T21:36:55.6156249Z remote: Compressing objects: 83% (450/541) 2025-08-14T21:36:55.6159581Z remote: Compressing objects: 84% (455/541) 2025-08-14T21:36:55.6164942Z remote: Compressing objects: 85% (460/541) 2025-08-14T21:36:55.6167562Z remote: Compressing objects: 86% (466/541) 2025-08-14T21:36:55.6168283Z remote: Compressing objects: 87% (471/541) 2025-08-14T21:36:55.6170415Z remote: Compressing objects: 88% (477/541) 2025-08-14T21:36:55.6172914Z remote: Compressing objects: 89% (482/541) 2025-08-14T21:36:55.6174021Z remote: Compressing objects: 90% (487/541) 2025-08-14T21:36:55.6206212Z remote: Compressing objects: 91% (493/541) 2025-08-14T21:36:55.6206360Z remote: Compressing objects: 92% (498/541) 2025-08-14T21:36:55.6206566Z remote: Compressing objects: 93% (504/541) 2025-08-14T21:36:55.6206956Z remote: Compressing objects: 94% (509/541) 2025-08-14T21:36:55.6207130Z remote: Compressing objects: 95% (514/541) 2025-08-14T21:36:55.6207287Z remote: Compressing objects: 96% (520/541) 2025-08-14T21:36:55.6207455Z remote: Compressing objects: 97% (525/541) 2025-08-14T21:36:55.6207611Z remote: Compressing objects: 98% (531/541) 2025-08-14T21:36:55.6207752Z remote: Compressing objects: 99% (536/541) 2025-08-14T21:36:55.6207889Z remote: Compressing objects: 100% (541/541) 2025-08-14T21:36:55.6208047Z remote: Compressing objects: 100% (541/541), done. 2025-08-14T21:36:55.7272789Z Receiving objects: 0% (1/7290) 2025-08-14T21:36:55.7309824Z Receiving objects: 1% (73/7290) 2025-08-14T21:36:55.7346058Z Receiving objects: 2% (146/7290) 2025-08-14T21:36:55.7380744Z Receiving objects: 3% (219/7290) 2025-08-14T21:36:55.7498122Z Receiving objects: 4% (292/7290) 2025-08-14T21:36:55.7507573Z Receiving objects: 5% (365/7290) 2025-08-14T21:36:55.7533654Z Receiving objects: 6% (438/7290) 2025-08-14T21:36:55.7534004Z Receiving objects: 7% (511/7290) 2025-08-14T21:36:55.7551408Z Receiving objects: 8% (584/7290) 2025-08-14T21:36:55.7551687Z Receiving objects: 9% (657/7290) 2025-08-14T21:36:55.7571176Z Receiving objects: 10% (729/7290) 2025-08-14T21:36:55.7596178Z Receiving objects: 11% (802/7290) 2025-08-14T21:36:55.7596343Z Receiving objects: 12% (875/7290) 2025-08-14T21:36:55.7600920Z Receiving objects: 13% (948/7290) 2025-08-14T21:36:55.7604023Z Receiving objects: 14% (1021/7290) 2025-08-14T21:36:55.7606735Z Receiving objects: 15% (1094/7290) 2025-08-14T21:36:55.7609768Z Receiving objects: 16% (1167/7290) 2025-08-14T21:36:55.7612524Z Receiving objects: 17% (1240/7290) 2025-08-14T21:36:55.7615082Z Receiving objects: 18% (1313/7290) 2025-08-14T21:36:55.7620225Z Receiving objects: 19% (1386/7290) 2025-08-14T21:36:55.7630277Z Receiving objects: 20% (1458/7290) 2025-08-14T21:36:55.7651152Z Receiving objects: 21% (1531/7290) 2025-08-14T21:36:55.7698326Z Receiving objects: 22% (1604/7290) 2025-08-14T21:36:55.7718138Z Receiving objects: 23% (1677/7290) 2025-08-14T21:36:55.7735739Z Receiving objects: 24% (1750/7290) 2025-08-14T21:36:55.7737817Z Receiving objects: 25% (1823/7290) 2025-08-14T21:36:55.7760958Z Receiving objects: 26% (1896/7290) 2025-08-14T21:36:55.7779782Z Receiving objects: 27% (1969/7290) 2025-08-14T21:36:55.7789142Z Receiving objects: 28% (2042/7290) 2025-08-14T21:36:55.7813496Z Receiving objects: 29% (2115/7290) 2025-08-14T21:36:55.7829538Z Receiving objects: 30% (2187/7290) 2025-08-14T21:36:55.7837716Z Receiving objects: 31% (2260/7290) 2025-08-14T21:36:55.7847644Z Receiving objects: 32% (2333/7290) 2025-08-14T21:36:55.7870841Z Receiving objects: 33% (2406/7290) 2025-08-14T21:36:55.7923754Z Receiving objects: 34% (2479/7290) 2025-08-14T21:36:55.7937646Z Receiving objects: 35% (2552/7290) 2025-08-14T21:36:55.7938626Z Receiving objects: 36% (2625/7290) 2025-08-14T21:36:55.7945695Z Receiving objects: 37% (2698/7290) 2025-08-14T21:36:55.7960166Z Receiving objects: 38% (2771/7290) 2025-08-14T21:36:55.7961205Z Receiving objects: 39% (2844/7290) 2025-08-14T21:36:55.7973065Z Receiving objects: 40% (2916/7290) 2025-08-14T21:36:55.7976875Z Receiving objects: 41% (2989/7290) 2025-08-14T21:36:55.7986345Z Receiving objects: 42% (3062/7290) 2025-08-14T21:36:55.7990448Z Receiving objects: 43% (3135/7290) 2025-08-14T21:36:55.7996677Z Receiving objects: 44% (3208/7290) 2025-08-14T21:36:55.7998322Z Receiving objects: 45% (3281/7290) 2025-08-14T21:36:55.8042649Z Receiving objects: 46% (3354/7290) 2025-08-14T21:36:55.8051565Z Receiving objects: 47% (3427/7290) 2025-08-14T21:36:55.8068257Z Receiving objects: 48% (3500/7290) 2025-08-14T21:36:55.8072316Z Receiving objects: 49% (3573/7290) 2025-08-14T21:36:55.8087591Z Receiving objects: 50% (3645/7290) 2025-08-14T21:36:55.8098080Z Receiving objects: 51% (3718/7290) 2025-08-14T21:36:55.8104735Z Receiving objects: 52% (3791/7290) 2025-08-14T21:36:55.8115625Z Receiving objects: 53% (3864/7290) 2025-08-14T21:36:55.8129377Z Receiving objects: 54% (3937/7290) 2025-08-14T21:36:55.8139215Z Receiving objects: 55% (4010/7290) 2025-08-14T21:36:55.8154505Z Receiving objects: 56% (4083/7290) 2025-08-14T21:36:55.8172172Z Receiving objects: 57% (4156/7290) 2025-08-14T21:36:55.8180925Z Receiving objects: 58% (4229/7290) 2025-08-14T21:36:55.8196303Z Receiving objects: 59% (4302/7290) 2025-08-14T21:36:55.8214292Z Receiving objects: 60% (4374/7290) 2025-08-14T21:36:55.8218871Z Receiving objects: 61% (4447/7290) 2025-08-14T21:36:55.8231616Z Receiving objects: 62% (4520/7290) 2025-08-14T21:36:55.8257568Z Receiving objects: 63% (4593/7290) 2025-08-14T21:36:55.8268059Z Receiving objects: 64% (4666/7290) 2025-08-14T21:36:55.8277567Z Receiving objects: 65% (4739/7290) 2025-08-14T21:36:55.8306109Z Receiving objects: 66% (4812/7290) 2025-08-14T21:36:55.8308179Z Receiving objects: 67% (4885/7290) 2025-08-14T21:36:55.8315408Z Receiving objects: 68% (4958/7290) 2025-08-14T21:36:55.8324330Z Receiving objects: 69% (5031/7290) 2025-08-14T21:36:55.8341877Z Receiving objects: 70% (5103/7290) 2025-08-14T21:36:55.8348070Z Receiving objects: 71% (5176/7290) 2025-08-14T21:36:55.8352133Z Receiving objects: 72% (5249/7290) 2025-08-14T21:36:55.8353438Z Receiving objects: 73% (5322/7290) 2025-08-14T21:36:55.8356620Z Receiving objects: 74% (5395/7290) 2025-08-14T21:36:55.8360420Z Receiving objects: 75% (5468/7290) 2025-08-14T21:36:55.8360744Z Receiving objects: 76% (5541/7290) 2025-08-14T21:36:55.8363569Z Receiving objects: 77% (5614/7290) 2025-08-14T21:36:55.8368415Z Receiving objects: 78% (5687/7290) 2025-08-14T21:36:55.8368554Z Receiving objects: 79% (5760/7290) 2025-08-14T21:36:55.8370073Z Receiving objects: 80% (5832/7290) 2025-08-14T21:36:55.8370457Z Receiving objects: 81% (5905/7290) 2025-08-14T21:36:55.8370777Z Receiving objects: 82% (5978/7290) 2025-08-14T21:36:55.8371297Z Receiving objects: 83% (6051/7290) 2025-08-14T21:36:55.8371614Z Receiving objects: 84% (6124/7290) 2025-08-14T21:36:55.8401287Z Receiving objects: 85% (6197/7290) 2025-08-14T21:36:55.8428503Z Receiving objects: 86% (6270/7290) 2025-08-14T21:36:55.8462258Z Receiving objects: 87% (6343/7290) 2025-08-14T21:36:55.8504513Z Receiving objects: 88% (6416/7290) 2025-08-14T21:36:55.8524756Z Receiving objects: 89% (6489/7290) 2025-08-14T21:36:55.8536930Z Receiving objects: 90% (6561/7290) 2025-08-14T21:36:55.8540219Z Receiving objects: 91% (6634/7290) 2025-08-14T21:36:55.8544899Z Receiving objects: 92% (6707/7290) 2025-08-14T21:36:55.8570927Z Receiving objects: 93% (6780/7290) 2025-08-14T21:36:55.8582826Z Receiving objects: 94% (6853/7290) 2025-08-14T21:36:55.8593500Z Receiving objects: 95% (6926/7290) 2025-08-14T21:36:55.8601278Z Receiving objects: 96% (6999/7290) 2025-08-14T21:36:55.8613023Z Receiving objects: 97% (7072/7290) 2025-08-14T21:36:55.8650617Z Receiving objects: 98% (7145/7290) 2025-08-14T21:36:55.8673745Z Receiving objects: 99% (7218/7290) 2025-08-14T21:36:55.8674313Z remote: Total 7290 (delta 1284), reused 1104 (delta 1086), pack-reused 5663 (from 1) 2025-08-14T21:36:55.8686502Z Receiving objects: 100% (7290/7290) 2025-08-14T21:36:55.8686675Z Receiving objects: 100% (7290/7290), 9.60 MiB | 39.80 MiB/s, done. 2025-08-14T21:36:55.8703269Z Resolving deltas: 0% (0/5282) 2025-08-14T21:36:55.8705592Z Resolving deltas: 1% (53/5282) 2025-08-14T21:36:55.8709158Z Resolving deltas: 2% (106/5282) 2025-08-14T21:36:55.8712195Z Resolving deltas: 3% (159/5282) 2025-08-14T21:36:55.8720052Z Resolving deltas: 4% (212/5282) 2025-08-14T21:36:55.8720437Z Resolving deltas: 5% (266/5282) 2025-08-14T21:36:55.8720736Z Resolving deltas: 6% (318/5282) 2025-08-14T21:36:55.8732529Z Resolving deltas: 7% (371/5282) 2025-08-14T21:36:55.8741200Z Resolving deltas: 8% (423/5282) 2025-08-14T21:36:55.8745556Z Resolving deltas: 9% (476/5282) 2025-08-14T21:36:55.8748451Z Resolving deltas: 10% (529/5282) 2025-08-14T21:36:55.8749870Z Resolving deltas: 11% (582/5282) 2025-08-14T21:36:55.8753021Z Resolving deltas: 12% (636/5282) 2025-08-14T21:36:55.8754561Z Resolving deltas: 13% (687/5282) 2025-08-14T21:36:55.8756933Z Resolving deltas: 14% (740/5282) 2025-08-14T21:36:55.8759589Z Resolving deltas: 15% (793/5282) 2025-08-14T21:36:55.8762333Z Resolving deltas: 16% (846/5282) 2025-08-14T21:36:55.8765574Z Resolving deltas: 17% (898/5282) 2025-08-14T21:36:55.8770870Z Resolving deltas: 18% (951/5282) 2025-08-14T21:36:55.8774346Z Resolving deltas: 19% (1004/5282) 2025-08-14T21:36:55.8776811Z Resolving deltas: 20% (1057/5282) 2025-08-14T21:36:55.8781162Z Resolving deltas: 21% (1110/5282) 2025-08-14T21:36:55.8784571Z Resolving deltas: 22% (1163/5282) 2025-08-14T21:36:55.8787004Z Resolving deltas: 23% (1215/5282) 2025-08-14T21:36:55.8792977Z Resolving deltas: 24% (1268/5282) 2025-08-14T21:36:55.8795775Z Resolving deltas: 25% (1321/5282) 2025-08-14T21:36:55.8798181Z Resolving deltas: 26% (1374/5282) 2025-08-14T21:36:55.8800827Z Resolving deltas: 27% (1427/5282) 2025-08-14T21:36:55.8803729Z Resolving deltas: 28% (1479/5282) 2025-08-14T21:36:55.8805776Z Resolving deltas: 29% (1532/5282) 2025-08-14T21:36:55.8807595Z Resolving deltas: 30% (1585/5282) 2025-08-14T21:36:55.8809434Z Resolving deltas: 31% (1638/5282) 2025-08-14T21:36:55.8811079Z Resolving deltas: 32% (1691/5282) 2025-08-14T21:36:55.8813710Z Resolving deltas: 33% (1744/5282) 2025-08-14T21:36:55.8815721Z Resolving deltas: 34% (1796/5282) 2025-08-14T21:36:55.8818658Z Resolving deltas: 35% (1849/5282) 2025-08-14T21:36:55.8820402Z Resolving deltas: 36% (1902/5282) 2025-08-14T21:36:55.8822428Z Resolving deltas: 37% (1956/5282) 2025-08-14T21:36:55.8826143Z Resolving deltas: 38% (2008/5282) 2025-08-14T21:36:55.8829465Z Resolving deltas: 39% (2060/5282) 2025-08-14T21:36:55.8832248Z Resolving deltas: 40% (2113/5282) 2025-08-14T21:36:55.8834534Z Resolving deltas: 41% (2167/5282) 2025-08-14T21:36:55.8841462Z Resolving deltas: 42% (2219/5282) 2025-08-14T21:36:55.8843864Z Resolving deltas: 43% (2272/5282) 2025-08-14T21:36:55.8847955Z Resolving deltas: 44% (2325/5282) 2025-08-14T21:36:55.8849181Z Resolving deltas: 45% (2377/5282) 2025-08-14T21:36:55.8851612Z Resolving deltas: 46% (2430/5282) 2025-08-14T21:36:55.8853753Z Resolving deltas: 47% (2483/5282) 2025-08-14T21:36:55.8855427Z Resolving deltas: 48% (2537/5282) 2025-08-14T21:36:55.8858883Z Resolving deltas: 49% (2591/5282) 2025-08-14T21:36:55.8867579Z Resolving deltas: 50% (2641/5282) 2025-08-14T21:36:55.8872922Z Resolving deltas: 51% (2694/5282) 2025-08-14T21:36:55.8874920Z Resolving deltas: 52% (2749/5282) 2025-08-14T21:36:55.8876808Z Resolving deltas: 53% (2800/5282) 2025-08-14T21:36:55.8880105Z Resolving deltas: 54% (2854/5282) 2025-08-14T21:36:55.8882193Z Resolving deltas: 55% (2906/5282) 2025-08-14T21:36:55.8884874Z Resolving deltas: 56% (2958/5282) 2025-08-14T21:36:55.8886150Z Resolving deltas: 57% (3011/5282) 2025-08-14T21:36:55.8887788Z Resolving deltas: 58% (3064/5282) 2025-08-14T21:36:55.8889635Z Resolving deltas: 59% (3117/5282) 2025-08-14T21:36:55.8891440Z Resolving deltas: 60% (3170/5282) 2025-08-14T21:36:55.8893729Z Resolving deltas: 61% (3223/5282) 2025-08-14T21:36:55.8895194Z Resolving deltas: 62% (3275/5282) 2025-08-14T21:36:55.8897154Z Resolving deltas: 63% (3328/5282) 2025-08-14T21:36:55.8900661Z Resolving deltas: 64% (3382/5282) 2025-08-14T21:36:55.8902315Z Resolving deltas: 65% (3434/5282) 2025-08-14T21:36:55.8904471Z Resolving deltas: 66% (3487/5282) 2025-08-14T21:36:55.8906965Z Resolving deltas: 67% (3539/5282) 2025-08-14T21:36:55.8909987Z Resolving deltas: 68% (3592/5282) 2025-08-14T21:36:55.8911056Z Resolving deltas: 69% (3646/5282) 2025-08-14T21:36:55.8916847Z Resolving deltas: 70% (3698/5282) 2025-08-14T21:36:55.8918757Z Resolving deltas: 71% (3751/5282) 2025-08-14T21:36:55.8921466Z Resolving deltas: 72% (3804/5282) 2025-08-14T21:36:55.8923247Z Resolving deltas: 73% (3856/5282) 2025-08-14T21:36:55.8926320Z Resolving deltas: 74% (3909/5282) 2025-08-14T21:36:55.8929441Z Resolving deltas: 75% (3962/5282) 2025-08-14T21:36:55.8932437Z Resolving deltas: 76% (4015/5282) 2025-08-14T21:36:55.8935462Z Resolving deltas: 77% (4068/5282) 2025-08-14T21:36:55.8938288Z Resolving deltas: 78% (4120/5282) 2025-08-14T21:36:55.8940921Z Resolving deltas: 79% (4173/5282) 2025-08-14T21:36:55.8944390Z Resolving deltas: 80% (4226/5282) 2025-08-14T21:36:55.8948988Z Resolving deltas: 81% (4279/5282) 2025-08-14T21:36:55.8952078Z Resolving deltas: 82% (4332/5282) 2025-08-14T21:36:55.8954971Z Resolving deltas: 83% (4385/5282) 2025-08-14T21:36:55.8956672Z Resolving deltas: 84% (4437/5282) 2025-08-14T21:36:55.8958806Z Resolving deltas: 85% (4490/5282) 2025-08-14T21:36:55.8960374Z Resolving deltas: 86% (4543/5282) 2025-08-14T21:36:55.8961737Z Resolving deltas: 87% (4597/5282) 2025-08-14T21:36:55.8963926Z Resolving deltas: 88% (4650/5282) 2025-08-14T21:36:55.8965440Z Resolving deltas: 89% (4701/5282) 2025-08-14T21:36:55.8968920Z Resolving deltas: 90% (4754/5282) 2025-08-14T21:36:55.8970600Z Resolving deltas: 91% (4807/5282) 2025-08-14T21:36:55.8972612Z Resolving deltas: 92% (4860/5282) 2025-08-14T21:36:55.8977649Z Resolving deltas: 93% (4913/5282) 2025-08-14T21:36:55.8978029Z Resolving deltas: 94% (4966/5282) 2025-08-14T21:36:55.8979330Z Resolving deltas: 95% (5018/5282) 2025-08-14T21:36:55.8981750Z Resolving deltas: 96% (5072/5282) 2025-08-14T21:36:55.8983793Z Resolving deltas: 97% (5125/5282) 2025-08-14T21:36:55.8986693Z Resolving deltas: 98% (5177/5282) 2025-08-14T21:36:55.8993526Z Resolving deltas: 99% (5233/5282) 2025-08-14T21:36:55.8995153Z Resolving deltas: 100% (5282/5282) 2025-08-14T21:36:55.8995526Z Resolving deltas: 100% (5282/5282), done. 2025-08-14T21:36:55.9183997Z Cloning into '/var/lib/jenkins/pytorch/fbgemm/external/composable_kernel'... 2025-08-14T21:36:56.1756899Z remote: Enumerating objects: 40913, done. 2025-08-14T21:36:56.2720324Z Receiving objects: 0% (1/40913) 2025-08-14T21:36:56.2865895Z Receiving objects: 1% (410/40913) 2025-08-14T21:36:56.3060536Z Receiving objects: 2% (819/40913) 2025-08-14T21:36:56.3082483Z Receiving objects: 3% (1228/40913) 2025-08-14T21:36:56.3103290Z Receiving objects: 4% (1637/40913) 2025-08-14T21:36:56.3373181Z Receiving objects: 5% (2046/40913) 2025-08-14T21:36:56.3422053Z Receiving objects: 6% (2455/40913) 2025-08-14T21:36:56.3541548Z Receiving objects: 7% (2864/40913) 2025-08-14T21:36:56.3729329Z Receiving objects: 8% (3274/40913) 2025-08-14T21:36:56.3812541Z Receiving objects: 9% (3683/40913) 2025-08-14T21:36:56.3859607Z Receiving objects: 10% (4092/40913) 2025-08-14T21:36:56.3879328Z Receiving objects: 11% (4501/40913) 2025-08-14T21:36:56.3891440Z Receiving objects: 12% (4910/40913) 2025-08-14T21:36:56.3899304Z Receiving objects: 13% (5319/40913) 2025-08-14T21:36:56.3907170Z Receiving objects: 14% (5728/40913) 2025-08-14T21:36:56.3940766Z Receiving objects: 15% (6137/40913) 2025-08-14T21:36:56.3974368Z Receiving objects: 16% (6547/40913) 2025-08-14T21:36:56.4037037Z Receiving objects: 17% (6956/40913) 2025-08-14T21:36:56.4052102Z Receiving objects: 18% (7365/40913) 2025-08-14T21:36:56.4118888Z Receiving objects: 19% (7774/40913) 2025-08-14T21:36:56.4133595Z Receiving objects: 20% (8183/40913) 2025-08-14T21:36:56.4157832Z Receiving objects: 21% (8592/40913) 2025-08-14T21:36:56.4183491Z Receiving objects: 22% (9001/40913) 2025-08-14T21:36:56.4216284Z Receiving objects: 23% (9410/40913) 2025-08-14T21:36:56.4253017Z Receiving objects: 24% (9820/40913) 2025-08-14T21:36:56.4290653Z Receiving objects: 25% (10229/40913) 2025-08-14T21:36:56.4311008Z Receiving objects: 26% (10638/40913) 2025-08-14T21:36:56.4332306Z Receiving objects: 27% (11047/40913) 2025-08-14T21:36:56.4361348Z Receiving objects: 28% (11456/40913) 2025-08-14T21:36:56.4381217Z Receiving objects: 29% (11865/40913) 2025-08-14T21:36:56.4414754Z Receiving objects: 30% (12274/40913) 2025-08-14T21:36:56.4439843Z Receiving objects: 31% (12684/40913) 2025-08-14T21:36:56.4468227Z Receiving objects: 32% (13093/40913) 2025-08-14T21:36:56.4492618Z Receiving objects: 33% (13502/40913) 2025-08-14T21:36:56.4502231Z Receiving objects: 34% (13911/40913) 2025-08-14T21:36:56.4510659Z Receiving objects: 35% (14320/40913) 2025-08-14T21:36:56.4523236Z Receiving objects: 36% (14729/40913) 2025-08-14T21:36:56.4529891Z Receiving objects: 37% (15138/40913) 2025-08-14T21:36:56.4535192Z Receiving objects: 38% (15547/40913) 2025-08-14T21:36:56.4540702Z Receiving objects: 39% (15957/40913) 2025-08-14T21:36:56.4547286Z Receiving objects: 40% (16366/40913) 2025-08-14T21:36:56.4574184Z Receiving objects: 41% (16775/40913) 2025-08-14T21:36:56.4576675Z Receiving objects: 42% (17184/40913) 2025-08-14T21:36:56.4598455Z Receiving objects: 43% (17593/40913) 2025-08-14T21:36:56.4653276Z Receiving objects: 44% (18002/40913) 2025-08-14T21:36:56.4672961Z Receiving objects: 45% (18411/40913) 2025-08-14T21:36:56.4692678Z Receiving objects: 46% (18820/40913) 2025-08-14T21:36:56.4713149Z Receiving objects: 47% (19230/40913) 2025-08-14T21:36:56.4723291Z Receiving objects: 48% (19639/40913) 2025-08-14T21:36:56.4734079Z Receiving objects: 49% (20048/40913) 2025-08-14T21:36:56.4745387Z Receiving objects: 50% (20457/40913) 2025-08-14T21:36:56.4762308Z Receiving objects: 51% (20866/40913) 2025-08-14T21:36:56.4769791Z Receiving objects: 52% (21275/40913) 2025-08-14T21:36:56.4775113Z Receiving objects: 53% (21684/40913) 2025-08-14T21:36:56.4791814Z Receiving objects: 54% (22094/40913) 2025-08-14T21:36:56.4799770Z Receiving objects: 55% (22503/40913) 2025-08-14T21:36:56.4804552Z Receiving objects: 56% (22912/40913) 2025-08-14T21:36:56.4839574Z Receiving objects: 57% (23321/40913) 2025-08-14T21:36:56.4856497Z Receiving objects: 58% (23730/40913) 2025-08-14T21:36:56.4860551Z Receiving objects: 59% (24139/40913) 2025-08-14T21:36:56.4890613Z Receiving objects: 60% (24548/40913) 2025-08-14T21:36:56.4898315Z Receiving objects: 61% (24957/40913) 2025-08-14T21:36:56.4915450Z Receiving objects: 62% (25367/40913) 2025-08-14T21:36:56.4922397Z Receiving objects: 63% (25776/40913) 2025-08-14T21:36:56.4940113Z Receiving objects: 64% (26185/40913) 2025-08-14T21:36:56.4958189Z Receiving objects: 65% (26594/40913) 2025-08-14T21:36:56.4979911Z Receiving objects: 66% (27003/40913) 2025-08-14T21:36:56.4999100Z Receiving objects: 67% (27412/40913) 2025-08-14T21:36:56.5032100Z Receiving objects: 68% (27821/40913) 2025-08-14T21:36:56.5066282Z Receiving objects: 69% (28230/40913) 2025-08-14T21:36:56.5084251Z Receiving objects: 70% (28640/40913) 2025-08-14T21:36:56.5110314Z Receiving objects: 71% (29049/40913) 2025-08-14T21:36:56.5112757Z Receiving objects: 72% (29458/40913) 2025-08-14T21:36:56.5120236Z Receiving objects: 73% (29867/40913) 2025-08-14T21:36:56.5128554Z Receiving objects: 74% (30276/40913) 2025-08-14T21:36:56.5135657Z Receiving objects: 75% (30685/40913) 2025-08-14T21:36:56.5146256Z Receiving objects: 76% (31094/40913) 2025-08-14T21:36:56.5165824Z Receiving objects: 77% (31504/40913) 2025-08-14T21:36:56.5187964Z Receiving objects: 78% (31913/40913) 2025-08-14T21:36:56.5199362Z Receiving objects: 79% (32322/40913) 2025-08-14T21:36:56.5210767Z Receiving objects: 80% (32731/40913) 2025-08-14T21:36:56.5229919Z Receiving objects: 81% (33140/40913) 2025-08-14T21:36:56.5234440Z Receiving objects: 82% (33549/40913) 2025-08-14T21:36:56.5245347Z Receiving objects: 83% (33958/40913) 2025-08-14T21:36:56.5252149Z Receiving objects: 84% (34367/40913) 2025-08-14T21:36:56.5260071Z Receiving objects: 85% (34777/40913) 2025-08-14T21:36:56.5274369Z Receiving objects: 86% (35186/40913) 2025-08-14T21:36:56.5293983Z Receiving objects: 87% (35595/40913) 2025-08-14T21:36:56.5317818Z Receiving objects: 88% (36004/40913) 2025-08-14T21:36:56.5344245Z Receiving objects: 89% (36413/40913) 2025-08-14T21:36:56.5362644Z Receiving objects: 90% (36822/40913) 2025-08-14T21:36:56.5369280Z Receiving objects: 91% (37231/40913) 2025-08-14T21:36:56.5377400Z Receiving objects: 92% (37640/40913) 2025-08-14T21:36:56.5389285Z Receiving objects: 93% (38050/40913) 2025-08-14T21:36:56.5404223Z Receiving objects: 94% (38459/40913) 2025-08-14T21:36:56.5420048Z Receiving objects: 95% (38868/40913) 2025-08-14T21:36:56.5428883Z Receiving objects: 96% (39277/40913) 2025-08-14T21:36:56.5440587Z Receiving objects: 97% (39686/40913) 2025-08-14T21:36:56.5450106Z Receiving objects: 98% (40095/40913) 2025-08-14T21:36:56.5456612Z Receiving objects: 99% (40504/40913) 2025-08-14T21:36:56.5457183Z remote: Total 40913 (delta 0), reused 0 (delta 0), pack-reused 40913 (from 1) 2025-08-14T21:36:56.5464317Z Receiving objects: 100% (40913/40913) 2025-08-14T21:36:56.5464504Z Receiving objects: 100% (40913/40913), 19.01 MiB | 51.35 MiB/s, done. 2025-08-14T21:36:56.5507087Z Resolving deltas: 0% (0/30182) 2025-08-14T21:36:56.5513910Z Resolving deltas: 1% (302/30182) 2025-08-14T21:36:56.5525211Z Resolving deltas: 2% (605/30182) 2025-08-14T21:36:56.5537060Z Resolving deltas: 3% (906/30182) 2025-08-14T21:36:56.5543953Z Resolving deltas: 4% (1208/30182) 2025-08-14T21:36:56.5557017Z Resolving deltas: 5% (1510/30182) 2025-08-14T21:36:56.5560962Z Resolving deltas: 6% (1811/30182) 2025-08-14T21:36:56.5570537Z Resolving deltas: 7% (2115/30182) 2025-08-14T21:36:56.5579220Z Resolving deltas: 8% (2418/30182) 2025-08-14T21:36:56.5588250Z Resolving deltas: 9% (2719/30182) 2025-08-14T21:36:56.5597554Z Resolving deltas: 10% (3022/30182) 2025-08-14T21:36:56.5606281Z Resolving deltas: 11% (3321/30182) 2025-08-14T21:36:56.5616678Z Resolving deltas: 12% (3624/30182) 2025-08-14T21:36:56.5626518Z Resolving deltas: 13% (3924/30182) 2025-08-14T21:36:56.5636965Z Resolving deltas: 14% (4227/30182) 2025-08-14T21:36:56.5648069Z Resolving deltas: 15% (4528/30182) 2025-08-14T21:36:56.5657077Z Resolving deltas: 16% (4830/30182) 2025-08-14T21:36:56.5668638Z Resolving deltas: 17% (5133/30182) 2025-08-14T21:36:56.5686235Z Resolving deltas: 18% (5433/30182) 2025-08-14T21:36:56.5699696Z Resolving deltas: 19% (5735/30182) 2025-08-14T21:36:56.5710277Z Resolving deltas: 20% (6037/30182) 2025-08-14T21:36:56.5724807Z Resolving deltas: 21% (6339/30182) 2025-08-14T21:36:56.5733967Z Resolving deltas: 22% (6641/30182) 2025-08-14T21:36:56.5745357Z Resolving deltas: 23% (6942/30182) 2025-08-14T21:36:56.5780547Z Resolving deltas: 24% (7245/30182) 2025-08-14T21:36:56.5791781Z Resolving deltas: 25% (7546/30182) 2025-08-14T21:36:56.5804356Z Resolving deltas: 26% (7848/30182) 2025-08-14T21:36:56.5818301Z Resolving deltas: 27% (8150/30182) 2025-08-14T21:36:56.5828544Z Resolving deltas: 28% (8451/30182) 2025-08-14T21:36:56.5839544Z Resolving deltas: 29% (8753/30182) 2025-08-14T21:36:56.5849746Z Resolving deltas: 30% (9055/30182) 2025-08-14T21:36:56.5863818Z Resolving deltas: 31% (9357/30182) 2025-08-14T21:36:56.5877893Z Resolving deltas: 32% (9659/30182) 2025-08-14T21:36:56.5887376Z Resolving deltas: 33% (9962/30182) 2025-08-14T21:36:56.5898478Z Resolving deltas: 34% (10263/30182) 2025-08-14T21:36:56.5917932Z Resolving deltas: 35% (10564/30182) 2025-08-14T21:36:56.5930235Z Resolving deltas: 36% (10866/30182) 2025-08-14T21:36:56.5938586Z Resolving deltas: 37% (11168/30182) 2025-08-14T21:36:56.5947094Z Resolving deltas: 38% (11471/30182) 2025-08-14T21:36:56.5956897Z Resolving deltas: 39% (11771/30182) 2025-08-14T21:36:56.5977352Z Resolving deltas: 40% (12074/30182) 2025-08-14T21:36:56.5988120Z Resolving deltas: 41% (12375/30182) 2025-08-14T21:36:56.5998744Z Resolving deltas: 42% (12677/30182) 2025-08-14T21:36:56.6008690Z Resolving deltas: 43% (12979/30182) 2025-08-14T21:36:56.6018652Z Resolving deltas: 44% (13281/30182) 2025-08-14T21:36:56.6029366Z Resolving deltas: 45% (13583/30182) 2025-08-14T21:36:56.6039796Z Resolving deltas: 46% (13884/30182) 2025-08-14T21:36:56.6053930Z Resolving deltas: 47% (14186/30182) 2025-08-14T21:36:56.6064081Z Resolving deltas: 48% (14488/30182) 2025-08-14T21:36:56.6088118Z Resolving deltas: 49% (14790/30182) 2025-08-14T21:36:56.6103659Z Resolving deltas: 50% (15092/30182) 2025-08-14T21:36:56.6123342Z Resolving deltas: 51% (15393/30182) 2025-08-14T21:36:56.6134395Z Resolving deltas: 52% (15695/30182) 2025-08-14T21:36:56.6151007Z Resolving deltas: 53% (15997/30182) 2025-08-14T21:36:56.6166683Z Resolving deltas: 54% (16299/30182) 2025-08-14T21:36:56.6183539Z Resolving deltas: 55% (16601/30182) 2025-08-14T21:36:56.6197792Z Resolving deltas: 56% (16902/30182) 2025-08-14T21:36:56.6213461Z Resolving deltas: 57% (17204/30182) 2025-08-14T21:36:56.6229445Z Resolving deltas: 58% (17506/30182) 2025-08-14T21:36:56.6240694Z Resolving deltas: 59% (17808/30182) 2025-08-14T21:36:56.6249815Z Resolving deltas: 60% (18110/30182) 2025-08-14T21:36:56.6262394Z Resolving deltas: 61% (18412/30182) 2025-08-14T21:36:56.6273350Z Resolving deltas: 62% (18713/30182) 2025-08-14T21:36:56.6294927Z Resolving deltas: 63% (19015/30182) 2025-08-14T21:36:56.6310517Z Resolving deltas: 64% (19317/30182) 2025-08-14T21:36:56.6335253Z Resolving deltas: 65% (19619/30182) 2025-08-14T21:36:56.6350605Z Resolving deltas: 66% (19921/30182) 2025-08-14T21:36:56.6369988Z Resolving deltas: 67% (20222/30182) 2025-08-14T21:36:56.6386075Z Resolving deltas: 68% (20524/30182) 2025-08-14T21:36:56.6406065Z Resolving deltas: 69% (20826/30182) 2025-08-14T21:36:56.6415674Z Resolving deltas: 70% (21128/30182) 2025-08-14T21:36:56.6426666Z Resolving deltas: 71% (21430/30182) 2025-08-14T21:36:56.6450428Z Resolving deltas: 72% (21733/30182) 2025-08-14T21:36:56.6474666Z Resolving deltas: 73% (22033/30182) 2025-08-14T21:36:56.6490833Z Resolving deltas: 74% (22335/30182) 2025-08-14T21:36:56.6507960Z Resolving deltas: 75% (22638/30182) 2025-08-14T21:36:56.6525871Z Resolving deltas: 76% (22939/30182) 2025-08-14T21:36:56.6537192Z Resolving deltas: 77% (23241/30182) 2025-08-14T21:36:56.6547830Z Resolving deltas: 78% (23548/30182) 2025-08-14T21:36:56.6560486Z Resolving deltas: 79% (23844/30182) 2025-08-14T21:36:56.6569276Z Resolving deltas: 80% (24147/30182) 2025-08-14T21:36:56.6579287Z Resolving deltas: 81% (24448/30182) 2025-08-14T21:36:56.6603238Z Resolving deltas: 82% (24751/30182) 2025-08-14T21:36:56.6618039Z Resolving deltas: 83% (25052/30182) 2025-08-14T21:36:56.6631511Z Resolving deltas: 84% (25353/30182) 2025-08-14T21:36:56.6647768Z Resolving deltas: 85% (25655/30182) 2025-08-14T21:36:56.6663278Z Resolving deltas: 86% (25957/30182) 2025-08-14T21:36:56.6672309Z Resolving deltas: 87% (26259/30182) 2025-08-14T21:36:56.6683155Z Resolving deltas: 88% (26561/30182) 2025-08-14T21:36:56.6693069Z Resolving deltas: 89% (26862/30182) 2025-08-14T21:36:56.6702016Z Resolving deltas: 90% (27164/30182) 2025-08-14T21:36:56.6712107Z Resolving deltas: 91% (27466/30182) 2025-08-14T21:36:56.6722126Z Resolving deltas: 92% (27768/30182) 2025-08-14T21:36:56.6733141Z Resolving deltas: 93% (28070/30182) 2025-08-14T21:36:56.6744931Z Resolving deltas: 94% (28372/30182) 2025-08-14T21:36:56.6753992Z Resolving deltas: 95% (28673/30182) 2025-08-14T21:36:56.6764320Z Resolving deltas: 96% (28976/30182) 2025-08-14T21:36:56.6775028Z Resolving deltas: 97% (29277/30182) 2025-08-14T21:36:56.6787765Z Resolving deltas: 98% (29579/30182) 2025-08-14T21:36:56.6805174Z Resolving deltas: 99% (29881/30182) 2025-08-14T21:36:56.6806282Z Resolving deltas: 100% (30182/30182) 2025-08-14T21:36:56.6806519Z Resolving deltas: 100% (30182/30182), done. 2025-08-14T21:36:56.7057087Z Cloning into '/var/lib/jenkins/pytorch/fbgemm/external/cpuinfo'... 2025-08-14T21:36:56.9084638Z remote: Enumerating objects: 7121, done. 2025-08-14T21:36:56.9085156Z remote: Counting objects: 0% (1/2704) 2025-08-14T21:36:56.9085531Z remote: Counting objects: 1% (28/2704) 2025-08-14T21:36:56.9085901Z remote: Counting objects: 2% (55/2704) 2025-08-14T21:36:56.9086263Z remote: Counting objects: 3% (82/2704) 2025-08-14T21:36:56.9087816Z remote: Counting objects: 4% (109/2704) 2025-08-14T21:36:56.9088272Z remote: Counting objects: 5% (136/2704) 2025-08-14T21:36:56.9088647Z remote: Counting objects: 6% (163/2704) 2025-08-14T21:36:56.9089013Z remote: Counting objects: 7% (190/2704) 2025-08-14T21:36:56.9089379Z remote: Counting objects: 8% (217/2704) 2025-08-14T21:36:56.9089738Z remote: Counting objects: 9% (244/2704) 2025-08-14T21:36:56.9097223Z remote: Counting objects: 10% (271/2704) 2025-08-14T21:36:56.9097450Z remote: Counting objects: 11% (298/2704) 2025-08-14T21:36:56.9097672Z remote: Counting objects: 12% (325/2704) 2025-08-14T21:36:56.9097894Z remote: Counting objects: 13% (352/2704) 2025-08-14T21:36:56.9098113Z remote: Counting objects: 14% (379/2704) 2025-08-14T21:36:56.9098325Z remote: Counting objects: 15% (406/2704) 2025-08-14T21:36:56.9129548Z remote: Counting objects: 16% (433/2704) 2025-08-14T21:36:56.9130896Z remote: Counting objects: 17% (460/2704) 2025-08-14T21:36:56.9131226Z remote: Counting objects: 18% (487/2704) 2025-08-14T21:36:56.9131459Z remote: Counting objects: 19% (514/2704) 2025-08-14T21:36:56.9131656Z remote: Counting objects: 20% (541/2704) 2025-08-14T21:36:56.9131849Z remote: Counting objects: 21% (568/2704) 2025-08-14T21:36:56.9132042Z remote: Counting objects: 22% (595/2704) 2025-08-14T21:36:56.9132237Z remote: Counting objects: 23% (622/2704) 2025-08-14T21:36:56.9132429Z remote: Counting objects: 24% (649/2704) 2025-08-14T21:36:56.9132616Z remote: Counting objects: 25% (676/2704) 2025-08-14T21:36:56.9133182Z remote: Counting objects: 26% (704/2704) 2025-08-14T21:36:56.9138990Z remote: Counting objects: 27% (731/2704) 2025-08-14T21:36:56.9139155Z remote: Counting objects: 28% (758/2704) 2025-08-14T21:36:56.9139291Z remote: Counting objects: 29% (785/2704) 2025-08-14T21:36:56.9139433Z remote: Counting objects: 30% (812/2704) 2025-08-14T21:36:56.9139570Z remote: Counting objects: 31% (839/2704) 2025-08-14T21:36:56.9139705Z remote: Counting objects: 32% (866/2704) 2025-08-14T21:36:56.9139847Z remote: Counting objects: 33% (893/2704) 2025-08-14T21:36:56.9139983Z remote: Counting objects: 34% (920/2704) 2025-08-14T21:36:56.9140120Z remote: Counting objects: 35% (947/2704) 2025-08-14T21:36:56.9140254Z remote: Counting objects: 36% (974/2704) 2025-08-14T21:36:56.9140385Z remote: Counting objects: 37% (1001/2704) 2025-08-14T21:36:56.9140521Z remote: Counting objects: 38% (1028/2704) 2025-08-14T21:36:56.9140659Z remote: Counting objects: 39% (1055/2704) 2025-08-14T21:36:56.9140787Z remote: Counting objects: 40% (1082/2704) 2025-08-14T21:36:56.9140915Z remote: Counting objects: 41% (1109/2704) 2025-08-14T21:36:56.9141043Z remote: Counting objects: 42% (1136/2704) 2025-08-14T21:36:56.9141178Z remote: Counting objects: 43% (1163/2704) 2025-08-14T21:36:56.9141306Z remote: Counting objects: 44% (1190/2704) 2025-08-14T21:36:56.9141435Z remote: Counting objects: 45% (1217/2704) 2025-08-14T21:36:56.9141570Z remote: Counting objects: 46% (1244/2704) 2025-08-14T21:36:56.9141712Z remote: Counting objects: 47% (1271/2704) 2025-08-14T21:36:56.9141855Z remote: Counting objects: 48% (1298/2704) 2025-08-14T21:36:56.9141996Z remote: Counting objects: 49% (1325/2704) 2025-08-14T21:36:56.9142134Z remote: Counting objects: 50% (1352/2704) 2025-08-14T21:36:56.9142273Z remote: Counting objects: 51% (1380/2704) 2025-08-14T21:36:56.9142409Z remote: Counting objects: 52% (1407/2704) 2025-08-14T21:36:56.9142543Z remote: Counting objects: 53% (1434/2704) 2025-08-14T21:36:56.9142680Z remote: Counting objects: 54% (1461/2704) 2025-08-14T21:36:56.9142817Z remote: Counting objects: 55% (1488/2704) 2025-08-14T21:36:56.9143084Z remote: Counting objects: 56% (1515/2704) 2025-08-14T21:36:56.9144959Z remote: Counting objects: 57% (1542/2704) 2025-08-14T21:36:56.9145099Z remote: Counting objects: 58% (1569/2704) 2025-08-14T21:36:56.9145231Z remote: Counting objects: 59% (1596/2704) 2025-08-14T21:36:56.9145360Z remote: Counting objects: 60% (1623/2704) 2025-08-14T21:36:56.9145490Z remote: Counting objects: 61% (1650/2704) 2025-08-14T21:36:56.9145617Z remote: Counting objects: 62% (1677/2704) 2025-08-14T21:36:56.9145748Z remote: Counting objects: 63% (1704/2704) 2025-08-14T21:36:56.9145881Z remote: Counting objects: 64% (1731/2704) 2025-08-14T21:36:56.9146008Z remote: Counting objects: 65% (1758/2704) 2025-08-14T21:36:56.9146136Z remote: Counting objects: 66% (1785/2704) 2025-08-14T21:36:56.9146266Z remote: Counting objects: 67% (1812/2704) 2025-08-14T21:36:56.9147827Z remote: Counting objects: 68% (1839/2704) 2025-08-14T21:36:56.9147966Z remote: Counting objects: 69% (1866/2704) 2025-08-14T21:36:56.9148095Z remote: Counting objects: 70% (1893/2704) 2025-08-14T21:36:56.9148224Z remote: Counting objects: 71% (1920/2704) 2025-08-14T21:36:56.9148351Z remote: Counting objects: 72% (1947/2704) 2025-08-14T21:36:56.9148481Z remote: Counting objects: 73% (1974/2704) 2025-08-14T21:36:56.9148608Z remote: Counting objects: 74% (2001/2704) 2025-08-14T21:36:56.9148738Z remote: Counting objects: 75% (2028/2704) 2025-08-14T21:36:56.9148866Z remote: Counting objects: 76% (2056/2704) 2025-08-14T21:36:56.9149057Z remote: Counting objects: 77% (2083/2704) 2025-08-14T21:36:56.9149186Z remote: Counting objects: 78% (2110/2704) 2025-08-14T21:36:56.9150525Z remote: Counting objects: 79% (2137/2704) 2025-08-14T21:36:56.9150662Z remote: Counting objects: 80% (2164/2704) 2025-08-14T21:36:56.9150793Z remote: Counting objects: 81% (2191/2704) 2025-08-14T21:36:56.9150922Z remote: Counting objects: 82% (2218/2704) 2025-08-14T21:36:56.9151052Z remote: Counting objects: 83% (2245/2704) 2025-08-14T21:36:56.9151179Z remote: Counting objects: 84% (2272/2704) 2025-08-14T21:36:56.9151306Z remote: Counting objects: 85% (2299/2704) 2025-08-14T21:36:56.9151434Z remote: Counting objects: 86% (2326/2704) 2025-08-14T21:36:56.9151564Z remote: Counting objects: 87% (2353/2704) 2025-08-14T21:36:56.9151692Z remote: Counting objects: 88% (2380/2704) 2025-08-14T21:36:56.9151820Z remote: Counting objects: 89% (2407/2704) 2025-08-14T21:36:56.9153106Z remote: Counting objects: 90% (2434/2704) 2025-08-14T21:36:56.9153243Z remote: Counting objects: 91% (2461/2704) 2025-08-14T21:36:56.9153371Z remote: Counting objects: 92% (2488/2704) 2025-08-14T21:36:56.9153499Z remote: Counting objects: 93% (2515/2704) 2025-08-14T21:36:56.9153630Z remote: Counting objects: 94% (2542/2704) 2025-08-14T21:36:56.9153759Z remote: Counting objects: 95% (2569/2704) 2025-08-14T21:36:56.9153887Z remote: Counting objects: 96% (2596/2704) 2025-08-14T21:36:56.9154013Z remote: Counting objects: 97% (2623/2704) 2025-08-14T21:36:56.9154140Z remote: Counting objects: 98% (2650/2704) 2025-08-14T21:36:56.9154270Z remote: Counting objects: 99% (2677/2704) 2025-08-14T21:36:56.9154398Z remote: Counting objects: 100% (2704/2704) 2025-08-14T21:36:56.9155679Z remote: Counting objects: 100% (2704/2704), done. 2025-08-14T21:36:56.9155838Z remote: Compressing objects: 0% (1/548) 2025-08-14T21:36:56.9155974Z remote: Compressing objects: 1% (6/548) 2025-08-14T21:36:56.9156111Z remote: Compressing objects: 2% (11/548) 2025-08-14T21:36:56.9254275Z remote: Compressing objects: 3% (17/548) 2025-08-14T21:36:56.9254636Z remote: Compressing objects: 4% (22/548) 2025-08-14T21:36:56.9255048Z remote: Compressing objects: 5% (28/548) 2025-08-14T21:36:56.9255253Z remote: Compressing objects: 6% (33/548) 2025-08-14T21:36:56.9255453Z remote: Compressing objects: 7% (39/548) 2025-08-14T21:36:56.9255639Z remote: Compressing objects: 8% (44/548) 2025-08-14T21:36:56.9259583Z remote: Compressing objects: 9% (50/548) 2025-08-14T21:36:56.9262243Z remote: Compressing objects: 10% (55/548) 2025-08-14T21:36:56.9272115Z remote: Compressing objects: 11% (61/548) 2025-08-14T21:36:56.9291564Z remote: Compressing objects: 12% (66/548) 2025-08-14T21:36:56.9307780Z remote: Compressing objects: 13% (72/548) 2025-08-14T21:36:56.9322586Z remote: Compressing objects: 14% (77/548) 2025-08-14T21:36:56.9394814Z remote: Compressing objects: 15% (83/548) 2025-08-14T21:36:56.9402616Z remote: Compressing objects: 16% (88/548) 2025-08-14T21:36:56.9407300Z remote: Compressing objects: 17% (94/548) 2025-08-14T21:36:56.9445009Z remote: Compressing objects: 18% (99/548) 2025-08-14T21:36:56.9497832Z remote: Compressing objects: 19% (105/548) 2025-08-14T21:36:56.9564100Z remote: Compressing objects: 20% (110/548) 2025-08-14T21:36:56.9619590Z remote: Compressing objects: 21% (116/548) 2025-08-14T21:36:56.9639794Z remote: Compressing objects: 22% (121/548) 2025-08-14T21:36:56.9643605Z remote: Compressing objects: 23% (127/548) 2025-08-14T21:36:56.9649412Z remote: Compressing objects: 24% (132/548) 2025-08-14T21:36:56.9664018Z remote: Compressing objects: 25% (137/548) 2025-08-14T21:36:56.9682073Z remote: Compressing objects: 26% (143/548) 2025-08-14T21:36:56.9691119Z remote: Compressing objects: 27% (148/548) 2025-08-14T21:36:56.9748063Z remote: Compressing objects: 28% (154/548) 2025-08-14T21:36:56.9863296Z remote: Compressing objects: 29% (159/548) 2025-08-14T21:36:56.9936818Z remote: Compressing objects: 30% (165/548) 2025-08-14T21:36:57.0023976Z remote: Compressing objects: 31% (170/548) 2025-08-14T21:36:57.0028677Z remote: Compressing objects: 32% (176/548) 2025-08-14T21:36:57.0074828Z remote: Compressing objects: 33% (181/548) 2025-08-14T21:36:57.0124254Z remote: Compressing objects: 34% (187/548) 2025-08-14T21:36:57.0200779Z remote: Compressing objects: 35% (192/548) 2025-08-14T21:36:57.0254880Z remote: Compressing objects: 36% (198/548) 2025-08-14T21:36:57.0305173Z remote: Compressing objects: 37% (203/548) 2025-08-14T21:36:57.0372293Z remote: Compressing objects: 38% (209/548) 2025-08-14T21:36:57.0404840Z remote: Compressing objects: 39% (214/548) 2025-08-14T21:36:57.0436734Z remote: Compressing objects: 40% (220/548) 2025-08-14T21:36:57.0487709Z remote: Compressing objects: 41% (225/548) 2025-08-14T21:36:57.0518884Z remote: Compressing objects: 42% (231/548) 2025-08-14T21:36:57.0549661Z remote: Compressing objects: 43% (236/548) 2025-08-14T21:36:57.0577015Z remote: Compressing objects: 44% (242/548) 2025-08-14T21:36:57.0591156Z remote: Compressing objects: 45% (247/548) 2025-08-14T21:36:57.0611021Z remote: Compressing objects: 46% (253/548) 2025-08-14T21:36:57.0632174Z remote: Compressing objects: 47% (258/548) 2025-08-14T21:36:57.0643331Z remote: Compressing objects: 48% (264/548) 2025-08-14T21:36:57.0643520Z remote: Compressing objects: 49% (269/548) 2025-08-14T21:36:57.0658085Z remote: Compressing objects: 50% (274/548) 2025-08-14T21:36:57.0665258Z remote: Compressing objects: 51% (280/548) 2025-08-14T21:36:57.0666908Z remote: Compressing objects: 52% (285/548) 2025-08-14T21:36:57.0672951Z remote: Compressing objects: 53% (291/548) 2025-08-14T21:36:57.0681394Z remote: Compressing objects: 54% (296/548) 2025-08-14T21:36:57.0683251Z remote: Compressing objects: 55% (302/548) 2025-08-14T21:36:57.0685379Z remote: Compressing objects: 56% (307/548) 2025-08-14T21:36:57.0685856Z remote: Compressing objects: 57% (313/548) 2025-08-14T21:36:57.0688882Z remote: Compressing objects: 58% (318/548) 2025-08-14T21:36:57.0690206Z remote: Compressing objects: 59% (324/548) 2025-08-14T21:36:57.0691201Z remote: Compressing objects: 60% (329/548) 2025-08-14T21:36:57.0694383Z remote: Compressing objects: 61% (335/548) 2025-08-14T21:36:57.0694850Z remote: Compressing objects: 62% (340/548) 2025-08-14T21:36:57.0695037Z remote: Compressing objects: 63% (346/548) 2025-08-14T21:36:57.0695208Z remote: Compressing objects: 64% (351/548) 2025-08-14T21:36:57.0698232Z remote: Compressing objects: 65% (357/548) 2025-08-14T21:36:57.0701392Z remote: Compressing objects: 66% (362/548) 2025-08-14T21:36:57.0702042Z remote: Compressing objects: 67% (368/548) 2025-08-14T21:36:57.0703718Z remote: Compressing objects: 68% (373/548) 2025-08-14T21:36:57.0720549Z remote: Compressing objects: 69% (379/548) 2025-08-14T21:36:57.0720701Z remote: Compressing objects: 70% (384/548) 2025-08-14T21:36:57.0720996Z remote: Compressing objects: 71% (390/548) 2025-08-14T21:36:57.0722932Z remote: Compressing objects: 72% (395/548) 2025-08-14T21:36:57.0723100Z remote: Compressing objects: 73% (401/548) 2025-08-14T21:36:57.0723241Z remote: Compressing objects: 74% (406/548) 2025-08-14T21:36:57.0723384Z remote: Compressing objects: 75% (411/548) 2025-08-14T21:36:57.0723529Z remote: Compressing objects: 76% (417/548) 2025-08-14T21:36:57.0723825Z remote: Compressing objects: 77% (422/548) 2025-08-14T21:36:57.0723966Z remote: Compressing objects: 78% (428/548) 2025-08-14T21:36:57.0724109Z remote: Compressing objects: 79% (433/548) 2025-08-14T21:36:57.0724253Z remote: Compressing objects: 80% (439/548) 2025-08-14T21:36:57.0724404Z remote: Compressing objects: 81% (444/548) 2025-08-14T21:36:57.0725932Z remote: Compressing objects: 82% (450/548) 2025-08-14T21:36:57.0726095Z remote: Compressing objects: 83% (455/548) 2025-08-14T21:36:57.0726228Z remote: Compressing objects: 84% (461/548) 2025-08-14T21:36:57.0726364Z remote: Compressing objects: 85% (466/548) 2025-08-14T21:36:57.0726585Z remote: Compressing objects: 86% (472/548) 2025-08-14T21:36:57.0726719Z remote: Compressing objects: 87% (477/548) 2025-08-14T21:36:57.0726852Z remote: Compressing objects: 88% (483/548) 2025-08-14T21:36:57.0726992Z remote: Compressing objects: 89% (488/548) 2025-08-14T21:36:57.0727126Z remote: Compressing objects: 90% (494/548) 2025-08-14T21:36:57.0727267Z remote: Compressing objects: 91% (499/548) 2025-08-14T21:36:57.0727400Z remote: Compressing objects: 92% (505/548) 2025-08-14T21:36:57.0763626Z remote: Compressing objects: 93% (510/548) 2025-08-14T21:36:57.0763951Z remote: Compressing objects: 94% (516/548) 2025-08-14T21:36:57.0764109Z remote: Compressing objects: 95% (521/548) 2025-08-14T21:36:57.0764251Z remote: Compressing objects: 96% (527/548) 2025-08-14T21:36:57.0764405Z remote: Compressing objects: 97% (532/548) 2025-08-14T21:36:57.0764547Z remote: Compressing objects: 98% (538/548) 2025-08-14T21:36:57.0764689Z remote: Compressing objects: 99% (543/548) 2025-08-14T21:36:57.0764827Z remote: Compressing objects: 100% (548/548) 2025-08-14T21:36:57.0764986Z remote: Compressing objects: 100% (548/548), done. 2025-08-14T21:36:57.0975632Z Receiving objects: 0% (1/7121) 2025-08-14T21:36:57.1066655Z Receiving objects: 1% (72/7121) 2025-08-14T21:36:57.1181267Z Receiving objects: 2% (143/7121) 2025-08-14T21:36:57.1205681Z Receiving objects: 3% (214/7121) 2025-08-14T21:36:57.1208724Z Receiving objects: 4% (285/7121) 2025-08-14T21:36:57.1237490Z Receiving objects: 5% (357/7121) 2025-08-14T21:36:57.1239500Z Receiving objects: 6% (428/7121) 2025-08-14T21:36:57.1276991Z Receiving objects: 7% (499/7121) 2025-08-14T21:36:57.1279617Z Receiving objects: 8% (570/7121) 2025-08-14T21:36:57.1319430Z Receiving objects: 9% (641/7121) 2025-08-14T21:36:57.1330676Z Receiving objects: 10% (713/7121) 2025-08-14T21:36:57.1351520Z Receiving objects: 11% (784/7121) 2025-08-14T21:36:57.1354531Z Receiving objects: 12% (855/7121) 2025-08-14T21:36:57.1370194Z Receiving objects: 13% (926/7121) 2025-08-14T21:36:57.1371186Z Receiving objects: 14% (997/7121) 2025-08-14T21:36:57.1411979Z Receiving objects: 15% (1069/7121) 2025-08-14T21:36:57.1419153Z Receiving objects: 16% (1140/7121) 2025-08-14T21:36:57.1419608Z Receiving objects: 17% (1211/7121) 2025-08-14T21:36:57.1931389Z Receiving objects: 18% (1282/7121) 2025-08-14T21:36:57.2031032Z Receiving objects: 19% (1353/7121) 2025-08-14T21:36:57.2033499Z Receiving objects: 20% (1425/7121) 2025-08-14T21:36:57.2034265Z Receiving objects: 21% (1496/7121) 2025-08-14T21:36:57.2034504Z Receiving objects: 22% (1567/7121) 2025-08-14T21:36:57.2039455Z Receiving objects: 23% (1638/7121) 2025-08-14T21:36:57.2039648Z Receiving objects: 24% (1710/7121) 2025-08-14T21:36:57.2039915Z Receiving objects: 25% (1781/7121) 2025-08-14T21:36:57.2040056Z Receiving objects: 26% (1852/7121) 2025-08-14T21:36:57.2040191Z Receiving objects: 27% (1923/7121) 2025-08-14T21:36:57.2040322Z Receiving objects: 28% (1994/7121) 2025-08-14T21:36:57.2040453Z Receiving objects: 29% (2066/7121) 2025-08-14T21:36:57.2040586Z Receiving objects: 30% (2137/7121) 2025-08-14T21:36:57.2040943Z Receiving objects: 31% (2208/7121) 2025-08-14T21:36:57.2041083Z Receiving objects: 32% (2279/7121) 2025-08-14T21:36:57.2041467Z Receiving objects: 33% (2350/7121) 2025-08-14T21:36:57.2046901Z Receiving objects: 34% (2422/7121) 2025-08-14T21:36:57.2047101Z Receiving objects: 35% (2493/7121) 2025-08-14T21:36:57.2050742Z Receiving objects: 36% (2564/7121) 2025-08-14T21:36:57.2050951Z Receiving objects: 37% (2635/7121) 2025-08-14T21:36:57.2051105Z Receiving objects: 38% (2706/7121) 2025-08-14T21:36:57.2051258Z Receiving objects: 39% (2778/7121) 2025-08-14T21:36:57.2051408Z Receiving objects: 40% (2849/7121) 2025-08-14T21:36:57.2051565Z Receiving objects: 41% (2920/7121) 2025-08-14T21:36:57.2052685Z Receiving objects: 42% (2991/7121) 2025-08-14T21:36:57.2053024Z Receiving objects: 43% (3063/7121) 2025-08-14T21:36:57.2054448Z Receiving objects: 44% (3134/7121) 2025-08-14T21:36:57.2054844Z Receiving objects: 45% (3205/7121) 2025-08-14T21:36:57.2055741Z Receiving objects: 46% (3276/7121) 2025-08-14T21:36:57.2056632Z Receiving objects: 47% (3347/7121) 2025-08-14T21:36:57.2057366Z Receiving objects: 48% (3419/7121) 2025-08-14T21:36:57.2058462Z Receiving objects: 49% (3490/7121) 2025-08-14T21:36:57.2077550Z Receiving objects: 50% (3561/7121) 2025-08-14T21:36:57.2083729Z Receiving objects: 51% (3632/7121) 2025-08-14T21:36:57.2087575Z Receiving objects: 52% (3703/7121) 2025-08-14T21:36:57.2087709Z Receiving objects: 53% (3775/7121) 2025-08-14T21:36:57.2088494Z Receiving objects: 54% (3846/7121) 2025-08-14T21:36:57.2088619Z Receiving objects: 55% (3917/7121) 2025-08-14T21:36:57.2089397Z Receiving objects: 56% (3988/7121) 2025-08-14T21:36:57.2090621Z Receiving objects: 57% (4059/7121) 2025-08-14T21:36:57.2090871Z Receiving objects: 58% (4131/7121) 2025-08-14T21:36:57.2091118Z Receiving objects: 59% (4202/7121) 2025-08-14T21:36:57.2093619Z Receiving objects: 60% (4273/7121) 2025-08-14T21:36:57.2099267Z Receiving objects: 61% (4344/7121) 2025-08-14T21:36:57.2102017Z Receiving objects: 62% (4416/7121) 2025-08-14T21:36:57.2102161Z Receiving objects: 63% (4487/7121) 2025-08-14T21:36:57.2102341Z Receiving objects: 64% (4558/7121) 2025-08-14T21:36:57.2104158Z Receiving objects: 65% (4629/7121) 2025-08-14T21:36:57.2106703Z Receiving objects: 66% (4700/7121) 2025-08-14T21:36:57.2106837Z Receiving objects: 67% (4772/7121) 2025-08-14T21:36:57.2106950Z Receiving objects: 68% (4843/7121) 2025-08-14T21:36:57.2107433Z Receiving objects: 69% (4914/7121) 2025-08-14T21:36:57.2107548Z Receiving objects: 70% (4985/7121) 2025-08-14T21:36:57.2126055Z Receiving objects: 71% (5056/7121) 2025-08-14T21:36:57.2140999Z Receiving objects: 72% (5128/7121) 2025-08-14T21:36:57.2162771Z Receiving objects: 73% (5199/7121) 2025-08-14T21:36:57.2177752Z Receiving objects: 74% (5270/7121) 2025-08-14T21:36:57.2197545Z Receiving objects: 75% (5341/7121) 2025-08-14T21:36:57.2212730Z Receiving objects: 76% (5412/7121) 2025-08-14T21:36:57.2231802Z Receiving objects: 77% (5484/7121) 2025-08-14T21:36:57.2237483Z Receiving objects: 78% (5555/7121) 2025-08-14T21:36:57.2239567Z Receiving objects: 79% (5626/7121) 2025-08-14T21:36:57.2243197Z Receiving objects: 80% (5697/7121) 2025-08-14T21:36:57.2250410Z Receiving objects: 81% (5769/7121) 2025-08-14T21:36:57.2252622Z Receiving objects: 82% (5840/7121) 2025-08-14T21:36:57.2263888Z Receiving objects: 83% (5911/7121) 2025-08-14T21:36:57.2272903Z Receiving objects: 84% (5982/7121) 2025-08-14T21:36:57.2283368Z Receiving objects: 85% (6053/7121) 2025-08-14T21:36:57.2292891Z Receiving objects: 86% (6125/7121) 2025-08-14T21:36:57.2297066Z Receiving objects: 87% (6196/7121) 2025-08-14T21:36:57.2299809Z Receiving objects: 88% (6267/7121) 2025-08-14T21:36:57.2302854Z Receiving objects: 89% (6338/7121) 2025-08-14T21:36:57.2303817Z Receiving objects: 90% (6409/7121) 2025-08-14T21:36:57.2304632Z Receiving objects: 91% (6481/7121) 2025-08-14T21:36:57.2306725Z Receiving objects: 92% (6552/7121) 2025-08-14T21:36:57.2309063Z Receiving objects: 93% (6623/7121) 2025-08-14T21:36:57.2310256Z Receiving objects: 94% (6694/7121) 2025-08-14T21:36:57.2314772Z Receiving objects: 95% (6765/7121) 2025-08-14T21:36:57.2316681Z Receiving objects: 96% (6837/7121) 2025-08-14T21:36:57.2319083Z Receiving objects: 97% (6908/7121) 2025-08-14T21:36:57.2319621Z remote: Total 7121 (delta 2496), reused 2157 (delta 2156), pack-reused 4417 (from 2) 2025-08-14T21:36:57.2324086Z Receiving objects: 98% (6979/7121) 2025-08-14T21:36:57.2325891Z Receiving objects: 99% (7050/7121) 2025-08-14T21:36:57.2326028Z Receiving objects: 100% (7121/7121) 2025-08-14T21:36:57.2330132Z Receiving objects: 100% (7121/7121), 5.29 MiB | 34.94 MiB/s, done. 2025-08-14T21:36:57.2338696Z Resolving deltas: 0% (0/5345) 2025-08-14T21:36:57.2343993Z Resolving deltas: 1% (54/5345) 2025-08-14T21:36:57.2348128Z Resolving deltas: 2% (107/5345) 2025-08-14T21:36:57.2350959Z Resolving deltas: 3% (161/5345) 2025-08-14T21:36:57.2353618Z Resolving deltas: 4% (214/5345) 2025-08-14T21:36:57.2355824Z Resolving deltas: 5% (268/5345) 2025-08-14T21:36:57.2357833Z Resolving deltas: 6% (321/5345) 2025-08-14T21:36:57.2359293Z Resolving deltas: 7% (376/5345) 2025-08-14T21:36:57.2361052Z Resolving deltas: 8% (428/5345) 2025-08-14T21:36:57.2363018Z Resolving deltas: 9% (483/5345) 2025-08-14T21:36:57.2364482Z Resolving deltas: 10% (535/5345) 2025-08-14T21:36:57.2365736Z Resolving deltas: 11% (591/5345) 2025-08-14T21:36:57.2367421Z Resolving deltas: 12% (643/5345) 2025-08-14T21:36:57.2368897Z Resolving deltas: 13% (696/5345) 2025-08-14T21:36:57.2370906Z Resolving deltas: 14% (749/5345) 2025-08-14T21:36:57.2373265Z Resolving deltas: 15% (803/5345) 2025-08-14T21:36:57.2380403Z Resolving deltas: 16% (857/5345) 2025-08-14T21:36:57.2381922Z Resolving deltas: 17% (909/5345) 2025-08-14T21:36:57.2383872Z Resolving deltas: 18% (963/5345) 2025-08-14T21:36:57.2385320Z Resolving deltas: 19% (1018/5345) 2025-08-14T21:36:57.2387084Z Resolving deltas: 20% (1069/5345) 2025-08-14T21:36:57.2392088Z Resolving deltas: 21% (1123/5345) 2025-08-14T21:36:57.2392751Z Resolving deltas: 22% (1177/5345) 2025-08-14T21:36:57.2394425Z Resolving deltas: 23% (1231/5345) 2025-08-14T21:36:57.2396760Z Resolving deltas: 24% (1283/5345) 2025-08-14T21:36:57.2399092Z Resolving deltas: 25% (1337/5345) 2025-08-14T21:36:57.2401409Z Resolving deltas: 26% (1390/5345) 2025-08-14T21:36:57.2404062Z Resolving deltas: 27% (1444/5345) 2025-08-14T21:36:57.2406642Z Resolving deltas: 28% (1497/5345) 2025-08-14T21:36:57.2409143Z Resolving deltas: 29% (1551/5345) 2025-08-14T21:36:57.2412149Z Resolving deltas: 30% (1604/5345) 2025-08-14T21:36:57.2414112Z Resolving deltas: 31% (1657/5345) 2025-08-14T21:36:57.2416674Z Resolving deltas: 32% (1711/5345) 2025-08-14T21:36:57.2418984Z Resolving deltas: 33% (1764/5345) 2025-08-14T21:36:57.2420609Z Resolving deltas: 34% (1818/5345) 2025-08-14T21:36:57.2424703Z Resolving deltas: 35% (1871/5345) 2025-08-14T21:36:57.2429954Z Resolving deltas: 36% (1925/5345) 2025-08-14T21:36:57.2432668Z Resolving deltas: 37% (1987/5345) 2025-08-14T21:36:57.2435270Z Resolving deltas: 38% (2032/5345) 2025-08-14T21:36:57.2439885Z Resolving deltas: 39% (2085/5345) 2025-08-14T21:36:57.2444086Z Resolving deltas: 40% (2138/5345) 2025-08-14T21:36:57.2447194Z Resolving deltas: 41% (2192/5345) 2025-08-14T21:36:57.2448974Z Resolving deltas: 42% (2245/5345) 2025-08-14T21:36:57.2450829Z Resolving deltas: 43% (2299/5345) 2025-08-14T21:36:57.2452801Z Resolving deltas: 44% (2352/5345) 2025-08-14T21:36:57.2455856Z Resolving deltas: 45% (2406/5345) 2025-08-14T21:36:57.2456970Z Resolving deltas: 46% (2459/5345) 2025-08-14T21:36:57.2460653Z Resolving deltas: 47% (2514/5345) 2025-08-14T21:36:57.2463998Z Resolving deltas: 48% (2566/5345) 2025-08-14T21:36:57.2467785Z Resolving deltas: 49% (2620/5345) 2025-08-14T21:36:57.2471097Z Resolving deltas: 50% (2673/5345) 2025-08-14T21:36:57.2474035Z Resolving deltas: 51% (2726/5345) 2025-08-14T21:36:57.2477551Z Resolving deltas: 52% (2780/5345) 2025-08-14T21:36:57.2481753Z Resolving deltas: 53% (2833/5345) 2025-08-14T21:36:57.2484485Z Resolving deltas: 54% (2887/5345) 2025-08-14T21:36:57.2489368Z Resolving deltas: 55% (2940/5345) 2025-08-14T21:36:57.2492884Z Resolving deltas: 56% (2994/5345) 2025-08-14T21:36:57.2495841Z Resolving deltas: 57% (3047/5345) 2025-08-14T21:36:57.2498118Z Resolving deltas: 58% (3101/5345) 2025-08-14T21:36:57.2500913Z Resolving deltas: 59% (3154/5345) 2025-08-14T21:36:57.2503675Z Resolving deltas: 60% (3207/5345) 2025-08-14T21:36:57.2511124Z Resolving deltas: 61% (3261/5345) 2025-08-14T21:36:57.2516331Z Resolving deltas: 62% (3314/5345) 2025-08-14T21:36:57.2519259Z Resolving deltas: 63% (3368/5345) 2025-08-14T21:36:57.2521635Z Resolving deltas: 64% (3421/5345) 2025-08-14T21:36:57.2523177Z Resolving deltas: 65% (3475/5345) 2025-08-14T21:36:57.2525353Z Resolving deltas: 66% (3528/5345) 2025-08-14T21:36:57.2527131Z Resolving deltas: 67% (3582/5345) 2025-08-14T21:36:57.2528875Z Resolving deltas: 68% (3636/5345) 2025-08-14T21:36:57.2530258Z Resolving deltas: 69% (3689/5345) 2025-08-14T21:36:57.2531968Z Resolving deltas: 70% (3746/5345) 2025-08-14T21:36:57.2533822Z Resolving deltas: 71% (3796/5345) 2025-08-14T21:36:57.2538015Z Resolving deltas: 72% (3850/5345) 2025-08-14T21:36:57.2538481Z Resolving deltas: 73% (3903/5345) 2025-08-14T21:36:57.2539047Z Resolving deltas: 74% (3956/5345) 2025-08-14T21:36:57.2540675Z Resolving deltas: 75% (4009/5345) 2025-08-14T21:36:57.2542554Z Resolving deltas: 76% (4063/5345) 2025-08-14T21:36:57.2545074Z Resolving deltas: 77% (4116/5345) 2025-08-14T21:36:57.2546088Z Resolving deltas: 78% (4170/5345) 2025-08-14T21:36:57.2547980Z Resolving deltas: 79% (4223/5345) 2025-08-14T21:36:57.2550656Z Resolving deltas: 80% (4276/5345) 2025-08-14T21:36:57.2553970Z Resolving deltas: 81% (4331/5345) 2025-08-14T21:36:57.2557336Z Resolving deltas: 82% (4383/5345) 2025-08-14T21:36:57.2559950Z Resolving deltas: 83% (4437/5345) 2025-08-14T21:36:57.2560129Z Resolving deltas: 84% (4490/5345) 2025-08-14T21:36:57.2562015Z Resolving deltas: 85% (4545/5345) 2025-08-14T21:36:57.2563259Z Resolving deltas: 86% (4597/5345) 2025-08-14T21:36:57.2564828Z Resolving deltas: 87% (4652/5345) 2025-08-14T21:36:57.2566562Z Resolving deltas: 88% (4704/5345) 2025-08-14T21:36:57.2568004Z Resolving deltas: 89% (4758/5345) 2025-08-14T21:36:57.2569354Z Resolving deltas: 90% (4811/5345) 2025-08-14T21:36:57.2570767Z Resolving deltas: 91% (4865/5345) 2025-08-14T21:36:57.2572925Z Resolving deltas: 92% (4919/5345) 2025-08-14T21:36:57.2575904Z Resolving deltas: 93% (4971/5345) 2025-08-14T21:36:57.2576140Z Resolving deltas: 94% (5025/5345) 2025-08-14T21:36:57.2578046Z Resolving deltas: 95% (5078/5345) 2025-08-14T21:36:57.2580174Z Resolving deltas: 96% (5134/5345) 2025-08-14T21:36:57.2581743Z Resolving deltas: 97% (5187/5345) 2025-08-14T21:36:57.2583991Z Resolving deltas: 98% (5239/5345) 2025-08-14T21:36:57.2590180Z Resolving deltas: 99% (5292/5345) 2025-08-14T21:36:57.2590521Z Resolving deltas: 100% (5345/5345) 2025-08-14T21:36:57.2590659Z Resolving deltas: 100% (5345/5345), done. 2025-08-14T21:36:57.2719335Z Cloning into '/var/lib/jenkins/pytorch/fbgemm/external/cutlass'... 2025-08-14T21:36:57.5084707Z remote: Enumerating objects: 34007, done. 2025-08-14T21:36:57.6063010Z Receiving objects: 0% (1/34007) 2025-08-14T21:36:57.6302242Z Receiving objects: 1% (341/34007) 2025-08-14T21:36:57.6621345Z Receiving objects: 2% (681/34007) 2025-08-14T21:36:57.6833637Z Receiving objects: 3% (1021/34007) 2025-08-14T21:36:57.6906886Z Receiving objects: 4% (1361/34007) 2025-08-14T21:36:57.6931487Z Receiving objects: 5% (1701/34007) 2025-08-14T21:36:57.6936641Z Receiving objects: 6% (2041/34007) 2025-08-14T21:36:57.7018200Z Receiving objects: 7% (2381/34007) 2025-08-14T21:36:57.7090422Z Receiving objects: 8% (2721/34007) 2025-08-14T21:36:57.7135382Z Receiving objects: 9% (3061/34007) 2025-08-14T21:36:57.7169217Z Receiving objects: 10% (3401/34007) 2025-08-14T21:36:57.7185447Z Receiving objects: 11% (3741/34007) 2025-08-14T21:36:57.7215708Z Receiving objects: 12% (4081/34007) 2025-08-14T21:36:57.7301690Z Receiving objects: 13% (4421/34007) 2025-08-14T21:36:57.7387719Z Receiving objects: 14% (4761/34007) 2025-08-14T21:36:57.7609234Z Receiving objects: 15% (5102/34007) 2025-08-14T21:36:57.7698861Z Receiving objects: 16% (5442/34007) 2025-08-14T21:36:57.7801642Z Receiving objects: 17% (5782/34007) 2025-08-14T21:36:57.9416079Z Receiving objects: 18% (6122/34007) 2025-08-14T21:36:57.9453738Z Receiving objects: 19% (6462/34007) 2025-08-14T21:36:57.9493152Z Receiving objects: 20% (6802/34007) 2025-08-14T21:36:57.9523422Z Receiving objects: 21% (7142/34007) 2025-08-14T21:36:57.9594350Z Receiving objects: 22% (7482/34007) 2025-08-14T21:36:57.9693059Z Receiving objects: 23% (7822/34007) 2025-08-14T21:36:57.9874321Z Receiving objects: 24% (8162/34007) 2025-08-14T21:36:57.9935867Z Receiving objects: 25% (8502/34007) 2025-08-14T21:36:57.9971084Z Receiving objects: 26% (8842/34007) 2025-08-14T21:36:58.0026266Z Receiving objects: 27% (9182/34007) 2025-08-14T21:36:58.0066023Z Receiving objects: 28% (9522/34007) 2025-08-14T21:36:58.0107022Z Receiving objects: 29% (9863/34007) 2025-08-14T21:36:58.0134830Z Receiving objects: 30% (10203/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.0153807Z Receiving objects: 31% (10543/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.0171753Z Receiving objects: 32% (10883/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.0196005Z Receiving objects: 33% (11223/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.0238531Z Receiving objects: 34% (11563/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.0286383Z Receiving objects: 35% (11903/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.0320102Z Receiving objects: 36% (12243/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.0399431Z Receiving objects: 37% (12583/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.0441675Z Receiving objects: 38% (12923/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.0496744Z Receiving objects: 39% (13263/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.0546000Z Receiving objects: 40% (13603/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.0599271Z Receiving objects: 41% (13943/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.0649419Z Receiving objects: 42% (14283/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.0703078Z Receiving objects: 43% (14624/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.0729786Z Receiving objects: 44% (14964/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.0751034Z Receiving objects: 45% (15304/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.0791390Z Receiving objects: 46% (15644/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.0818841Z Receiving objects: 47% (15984/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.0938780Z Receiving objects: 48% (16324/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.0967940Z Receiving objects: 49% (16664/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.0994219Z Receiving objects: 50% (17004/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.1019035Z Receiving objects: 51% (17344/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.1031865Z Receiving objects: 52% (17684/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.1050108Z Receiving objects: 53% (18024/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.1071447Z Receiving objects: 54% (18364/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.1084791Z Receiving objects: 55% (18704/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.1099949Z Receiving objects: 56% (19044/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.1116522Z Receiving objects: 57% (19384/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.1134517Z Receiving objects: 58% (19725/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.1154444Z Receiving objects: 59% (20065/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.1180761Z Receiving objects: 60% (20405/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.1206200Z Receiving objects: 61% (20745/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.1236865Z Receiving objects: 62% (21085/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.1267421Z Receiving objects: 63% (21425/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.1304801Z Receiving objects: 64% (21765/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.1343394Z Receiving objects: 65% (22105/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.1364256Z Receiving objects: 66% (22445/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.1388283Z Receiving objects: 67% (22785/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.1408712Z Receiving objects: 68% (23125/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.1430745Z Receiving objects: 69% (23465/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.1450002Z Receiving objects: 70% (23805/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.1468881Z Receiving objects: 71% (24145/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.1486739Z Receiving objects: 72% (24486/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.1503757Z Receiving objects: 73% (24826/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.1516264Z Receiving objects: 74% (25166/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.1533100Z Receiving objects: 75% (25506/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.1549360Z Receiving objects: 76% (25846/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.1565408Z Receiving objects: 77% (26186/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.1585430Z Receiving objects: 78% (26526/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.1599489Z Receiving objects: 79% (26866/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.1637212Z Receiving objects: 80% (27206/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.1653246Z Receiving objects: 81% (27546/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.1660069Z Receiving objects: 82% (27886/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.1672641Z Receiving objects: 83% (28226/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.1686226Z Receiving objects: 84% (28566/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.1735013Z Receiving objects: 85% (28906/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.1826832Z Receiving objects: 86% (29247/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.1869884Z Receiving objects: 87% (29587/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.1900684Z Receiving objects: 88% (29927/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.1933980Z Receiving objects: 89% (30267/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.1958833Z Receiving objects: 90% (30607/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.1981201Z Receiving objects: 91% (30947/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.2074118Z Receiving objects: 92% (31287/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.2110211Z Receiving objects: 93% (31627/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.2123853Z Receiving objects: 94% (31967/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.2145632Z Receiving objects: 95% (32307/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.2171784Z Receiving objects: 96% (32647/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.2213241Z Receiving objects: 97% (32987/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.2317373Z Receiving objects: 98% (33327/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.2427740Z Receiving objects: 99% (33667/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.2428106Z remote: Total 34007 (delta 0), reused 0 (delta 0), pack-reused 34007 (from 1) 2025-08-14T21:36:58.2437904Z Receiving objects: 100% (34007/34007), 33.33 MiB | 66.65 MiB/s 2025-08-14T21:36:58.2440419Z Receiving objects: 100% (34007/34007), 51.25 MiB | 69.79 MiB/s, done. 2025-08-14T21:36:58.2468438Z Resolving deltas: 0% (0/25835) 2025-08-14T21:36:58.2479352Z Resolving deltas: 1% (259/25835) 2025-08-14T21:36:58.2490648Z Resolving deltas: 2% (517/25835) 2025-08-14T21:36:58.2500117Z Resolving deltas: 3% (777/25835) 2025-08-14T21:36:58.2511396Z Resolving deltas: 4% (1034/25835) 2025-08-14T21:36:58.2527340Z Resolving deltas: 5% (1294/25835) 2025-08-14T21:36:58.2535794Z Resolving deltas: 6% (1551/25835) 2025-08-14T21:36:58.2543795Z Resolving deltas: 7% (1809/25835) 2025-08-14T21:36:58.2551275Z Resolving deltas: 8% (2069/25835) 2025-08-14T21:36:58.2559355Z Resolving deltas: 9% (2327/25835) 2025-08-14T21:36:58.2567411Z Resolving deltas: 10% (2584/25835) 2025-08-14T21:36:58.2577300Z Resolving deltas: 11% (2842/25835) 2025-08-14T21:36:58.2591829Z Resolving deltas: 12% (3105/25835) 2025-08-14T21:36:58.2601495Z Resolving deltas: 13% (3359/25835) 2025-08-14T21:36:58.2609240Z Resolving deltas: 14% (3622/25835) 2025-08-14T21:36:58.2617645Z Resolving deltas: 15% (3876/25835) 2025-08-14T21:36:58.2625499Z Resolving deltas: 16% (4135/25835) 2025-08-14T21:36:58.2633706Z Resolving deltas: 17% (4394/25835) 2025-08-14T21:36:58.2642212Z Resolving deltas: 18% (4651/25835) 2025-08-14T21:36:58.2650788Z Resolving deltas: 19% (4909/25835) 2025-08-14T21:36:58.2659986Z Resolving deltas: 20% (5167/25835) 2025-08-14T21:36:58.2667698Z Resolving deltas: 21% (5426/25835) 2025-08-14T21:36:58.2676608Z Resolving deltas: 22% (5687/25835) 2025-08-14T21:36:58.2685797Z Resolving deltas: 23% (5943/25835) 2025-08-14T21:36:58.2698159Z Resolving deltas: 24% (6201/25835) 2025-08-14T21:36:58.2707314Z Resolving deltas: 25% (6459/25835) 2025-08-14T21:36:58.2717868Z Resolving deltas: 26% (6718/25835) 2025-08-14T21:36:58.2726016Z Resolving deltas: 27% (6976/25835) 2025-08-14T21:36:58.2735990Z Resolving deltas: 28% (7234/25835) 2025-08-14T21:36:58.2743483Z Resolving deltas: 29% (7497/25835) 2025-08-14T21:36:58.2752160Z Resolving deltas: 30% (7752/25835) 2025-08-14T21:36:58.2764069Z Resolving deltas: 31% (8011/25835) 2025-08-14T21:36:58.2771377Z Resolving deltas: 32% (8268/25835) 2025-08-14T21:36:58.2780816Z Resolving deltas: 33% (8526/25835) 2025-08-14T21:36:58.2790494Z Resolving deltas: 34% (8785/25835) 2025-08-14T21:36:58.2798999Z Resolving deltas: 35% (9043/25835) 2025-08-14T21:36:58.2808646Z Resolving deltas: 36% (9301/25835) 2025-08-14T21:36:58.2816263Z Resolving deltas: 37% (9559/25835) 2025-08-14T21:36:58.2825833Z Resolving deltas: 38% (9818/25835) 2025-08-14T21:36:58.2834027Z Resolving deltas: 39% (10076/25835) 2025-08-14T21:36:58.2842746Z Resolving deltas: 40% (10336/25835) 2025-08-14T21:36:58.2851671Z Resolving deltas: 41% (10594/25835) 2025-08-14T21:36:58.2860555Z Resolving deltas: 42% (10851/25835) 2025-08-14T21:36:58.2870403Z Resolving deltas: 43% (11111/25835) 2025-08-14T21:36:58.2878133Z Resolving deltas: 44% (11368/25835) 2025-08-14T21:36:58.2885982Z Resolving deltas: 45% (11626/25835) 2025-08-14T21:36:58.2894529Z Resolving deltas: 46% (11886/25835) 2025-08-14T21:36:58.2903175Z Resolving deltas: 47% (12143/25835) 2025-08-14T21:36:58.2912879Z Resolving deltas: 48% (12401/25835) 2025-08-14T21:36:58.2923920Z Resolving deltas: 49% (12660/25835) 2025-08-14T21:36:58.2934283Z Resolving deltas: 50% (12927/25835) 2025-08-14T21:36:58.2945117Z Resolving deltas: 51% (13176/25835) 2025-08-14T21:36:58.2965020Z Resolving deltas: 52% (13436/25835) 2025-08-14T21:36:58.2980208Z Resolving deltas: 53% (13693/25835) 2025-08-14T21:36:58.2987552Z Resolving deltas: 54% (13952/25835) 2025-08-14T21:36:58.2995716Z Resolving deltas: 55% (14210/25835) 2025-08-14T21:36:58.3004207Z Resolving deltas: 56% (14468/25835) 2025-08-14T21:36:58.3014033Z Resolving deltas: 57% (14726/25835) 2025-08-14T21:36:58.3021859Z Resolving deltas: 58% (14985/25835) 2025-08-14T21:36:58.3030467Z Resolving deltas: 59% (15243/25835) 2025-08-14T21:36:58.3041711Z Resolving deltas: 60% (15501/25835) 2025-08-14T21:36:58.3049973Z Resolving deltas: 61% (15761/25835) 2025-08-14T21:36:58.3058759Z Resolving deltas: 62% (16018/25835) 2025-08-14T21:36:58.3066894Z Resolving deltas: 63% (16277/25835) 2025-08-14T21:36:58.3080350Z Resolving deltas: 64% (16535/25835) 2025-08-14T21:36:58.3094888Z Resolving deltas: 65% (16793/25835) 2025-08-14T21:36:58.3105551Z Resolving deltas: 66% (17052/25835) 2025-08-14T21:36:58.3125450Z Resolving deltas: 67% (17311/25835) 2025-08-14T21:36:58.3132981Z Resolving deltas: 68% (17568/25835) 2025-08-14T21:36:58.3142648Z Resolving deltas: 69% (17828/25835) 2025-08-14T21:36:58.3155417Z Resolving deltas: 70% (18085/25835) 2025-08-14T21:36:58.3169174Z Resolving deltas: 71% (18343/25835) 2025-08-14T21:36:58.3178763Z Resolving deltas: 72% (18602/25835) 2025-08-14T21:36:58.3190797Z Resolving deltas: 73% (18863/25835) 2025-08-14T21:36:58.3199842Z Resolving deltas: 74% (19118/25835) 2025-08-14T21:36:58.3213547Z Resolving deltas: 75% (19378/25835) 2025-08-14T21:36:58.3230504Z Resolving deltas: 76% (19636/25835) 2025-08-14T21:36:58.3239790Z Resolving deltas: 77% (19894/25835) 2025-08-14T21:36:58.3249910Z Resolving deltas: 78% (20152/25835) 2025-08-14T21:36:58.3268609Z Resolving deltas: 79% (20410/25835) 2025-08-14T21:36:58.3289911Z Resolving deltas: 80% (20668/25835) 2025-08-14T21:36:58.3302647Z Resolving deltas: 81% (20927/25835) 2025-08-14T21:36:58.3314300Z Resolving deltas: 82% (21185/25835) 2025-08-14T21:36:58.3324140Z Resolving deltas: 83% (21446/25835) 2025-08-14T21:36:58.3331984Z Resolving deltas: 84% (21702/25835) 2025-08-14T21:36:58.3342020Z Resolving deltas: 85% (21960/25835) 2025-08-14T21:36:58.3351349Z Resolving deltas: 86% (22219/25835) 2025-08-14T21:36:58.3356849Z Resolving deltas: 87% (22477/25835) 2025-08-14T21:36:58.3366954Z Resolving deltas: 88% (22735/25835) 2025-08-14T21:36:58.3377901Z Resolving deltas: 89% (22994/25835) 2025-08-14T21:36:58.3392526Z Resolving deltas: 90% (23252/25835) 2025-08-14T21:36:58.3403225Z Resolving deltas: 91% (23510/25835) 2025-08-14T21:36:58.3410486Z Resolving deltas: 92% (23769/25835) 2025-08-14T21:36:58.3415410Z Resolving deltas: 93% (24027/25835) 2025-08-14T21:36:58.3420628Z Resolving deltas: 94% (24285/25835) 2025-08-14T21:36:58.3428045Z Resolving deltas: 95% (24545/25835) 2025-08-14T21:36:58.3434676Z Resolving deltas: 96% (24802/25835) 2025-08-14T21:36:58.3440729Z Resolving deltas: 97% (25060/25835) 2025-08-14T21:36:58.3448468Z Resolving deltas: 98% (25319/25835) 2025-08-14T21:36:58.3458148Z Resolving deltas: 99% (25577/25835) 2025-08-14T21:36:58.3461456Z Resolving deltas: 100% (25835/25835) 2025-08-14T21:36:58.3462725Z Resolving deltas: 100% (25835/25835), done. 2025-08-14T21:36:58.3820585Z Cloning into '/var/lib/jenkins/pytorch/fbgemm/external/googletest'... 2025-08-14T21:36:58.6054916Z remote: Enumerating objects: 28228, done. 2025-08-14T21:36:58.6061551Z remote: Counting objects: 1% (1/67) 2025-08-14T21:36:58.6061716Z remote: Counting objects: 2% (2/67) 2025-08-14T21:36:58.6061849Z remote: Counting objects: 4% (3/67) 2025-08-14T21:36:58.6061980Z remote: Counting objects: 5% (4/67) 2025-08-14T21:36:58.6062107Z remote: Counting objects: 7% (5/67) 2025-08-14T21:36:58.6062236Z remote: Counting objects: 8% (6/67) 2025-08-14T21:36:58.6062361Z remote: Counting objects: 10% (7/67) 2025-08-14T21:36:58.6062488Z remote: Counting objects: 11% (8/67) 2025-08-14T21:36:58.6062629Z remote: Counting objects: 13% (9/67) 2025-08-14T21:36:58.6062758Z remote: Counting objects: 14% (10/67) 2025-08-14T21:36:58.6062887Z remote: Counting objects: 16% (11/67) 2025-08-14T21:36:58.6064454Z remote: Counting objects: 17% (12/67) 2025-08-14T21:36:58.6064589Z remote: Counting objects: 19% (13/67) 2025-08-14T21:36:58.6064722Z remote: Counting objects: 20% (14/67) 2025-08-14T21:36:58.6064845Z remote: Counting objects: 22% (15/67) 2025-08-14T21:36:58.6064968Z remote: Counting objects: 23% (16/67) 2025-08-14T21:36:58.6065091Z remote: Counting objects: 25% (17/67) 2025-08-14T21:36:58.6065216Z remote: Counting objects: 26% (18/67) 2025-08-14T21:36:58.6065338Z remote: Counting objects: 28% (19/67) 2025-08-14T21:36:58.6065460Z remote: Counting objects: 29% (20/67) 2025-08-14T21:36:58.6065581Z remote: Counting objects: 31% (21/67) 2025-08-14T21:36:58.6065705Z remote: Counting objects: 32% (22/67) 2025-08-14T21:36:58.6067189Z remote: Counting objects: 34% (23/67) 2025-08-14T21:36:58.6067321Z remote: Counting objects: 35% (24/67) 2025-08-14T21:36:58.6067443Z remote: Counting objects: 37% (25/67) 2025-08-14T21:36:58.6067567Z remote: Counting objects: 38% (26/67) 2025-08-14T21:36:58.6067692Z remote: Counting objects: 40% (27/67) 2025-08-14T21:36:58.6067817Z remote: Counting objects: 41% (28/67) 2025-08-14T21:36:58.6067941Z remote: Counting objects: 43% (29/67) 2025-08-14T21:36:58.6068066Z remote: Counting objects: 44% (30/67) 2025-08-14T21:36:58.6068188Z remote: Counting objects: 46% (31/67) 2025-08-14T21:36:58.6068312Z remote: Counting objects: 47% (32/67) 2025-08-14T21:36:58.6068434Z remote: Counting objects: 49% (33/67) 2025-08-14T21:36:58.6069578Z remote: Counting objects: 50% (34/67) 2025-08-14T21:36:58.6069706Z remote: Counting objects: 52% (35/67) 2025-08-14T21:36:58.6069836Z remote: Counting objects: 53% (36/67) 2025-08-14T21:36:58.6069960Z remote: Counting objects: 55% (37/67) 2025-08-14T21:36:58.6070084Z remote: Counting objects: 56% (38/67) 2025-08-14T21:36:58.6070207Z remote: Counting objects: 58% (39/67) 2025-08-14T21:36:58.6070330Z remote: Counting objects: 59% (40/67) 2025-08-14T21:36:58.6070458Z remote: Counting objects: 61% (41/67) 2025-08-14T21:36:58.6070584Z remote: Counting objects: 62% (42/67) 2025-08-14T21:36:58.6070707Z remote: Counting objects: 64% (43/67) 2025-08-14T21:36:58.6070830Z remote: Counting objects: 65% (44/67) 2025-08-14T21:36:58.6071939Z remote: Counting objects: 67% (45/67) 2025-08-14T21:36:58.6072068Z remote: Counting objects: 68% (46/67) 2025-08-14T21:36:58.6072191Z remote: Counting objects: 70% (47/67) 2025-08-14T21:36:58.6072314Z remote: Counting objects: 71% (48/67) 2025-08-14T21:36:58.6072436Z remote: Counting objects: 73% (49/67) 2025-08-14T21:36:58.6072563Z remote: Counting objects: 74% (50/67) 2025-08-14T21:36:58.6072686Z remote: Counting objects: 76% (51/67) 2025-08-14T21:36:58.6072809Z remote: Counting objects: 77% (52/67) 2025-08-14T21:36:58.6072932Z remote: Counting objects: 79% (53/67) 2025-08-14T21:36:58.6073055Z remote: Counting objects: 80% (54/67) 2025-08-14T21:36:58.6073229Z remote: Counting objects: 82% (55/67) 2025-08-14T21:36:58.6074345Z remote: Counting objects: 83% (56/67) 2025-08-14T21:36:58.6074473Z remote: Counting objects: 85% (57/67) 2025-08-14T21:36:58.6074596Z remote: Counting objects: 86% (58/67) 2025-08-14T21:36:58.6074720Z remote: Counting objects: 88% (59/67) 2025-08-14T21:36:58.6074842Z remote: Counting objects: 89% (60/67) 2025-08-14T21:36:58.6074965Z remote: Counting objects: 91% (61/67) 2025-08-14T21:36:58.6075088Z remote: Counting objects: 92% (62/67) 2025-08-14T21:36:58.6075217Z remote: Counting objects: 94% (63/67) 2025-08-14T21:36:58.6075341Z remote: Counting objects: 95% (64/67) 2025-08-14T21:36:58.6075464Z remote: Counting objects: 97% (65/67) 2025-08-14T21:36:58.6075591Z remote: Counting objects: 98% (66/67) 2025-08-14T21:36:58.6076798Z remote: Counting objects: 100% (67/67) 2025-08-14T21:36:58.6076943Z remote: Counting objects: 100% (67/67), done. 2025-08-14T21:36:58.6077087Z remote: Compressing objects: 2% (1/46) 2025-08-14T21:36:58.6092261Z remote: Compressing objects: 4% (2/46) 2025-08-14T21:36:58.6154097Z remote: Compressing objects: 6% (3/46) 2025-08-14T21:36:58.6168261Z remote: Compressing objects: 8% (4/46) 2025-08-14T21:36:58.6274428Z remote: Compressing objects: 10% (5/46) 2025-08-14T21:36:58.6285646Z remote: Compressing objects: 13% (6/46) 2025-08-14T21:36:58.6366537Z remote: Compressing objects: 15% (7/46) 2025-08-14T21:36:58.6431202Z remote: Compressing objects: 17% (8/46) 2025-08-14T21:36:58.6479459Z remote: Compressing objects: 19% (9/46) 2025-08-14T21:36:58.6516585Z remote: Compressing objects: 21% (10/46) 2025-08-14T21:36:58.6549542Z remote: Compressing objects: 23% (11/46) 2025-08-14T21:36:58.6554343Z remote: Compressing objects: 26% (12/46) 2025-08-14T21:36:58.6554552Z remote: Compressing objects: 28% (13/46) 2025-08-14T21:36:58.6554713Z remote: Compressing objects: 30% (14/46) 2025-08-14T21:36:58.6554871Z remote: Compressing objects: 32% (15/46) 2025-08-14T21:36:58.6555026Z remote: Compressing objects: 34% (16/46) 2025-08-14T21:36:58.6555180Z remote: Compressing objects: 36% (17/46) 2025-08-14T21:36:58.6555326Z remote: Compressing objects: 39% (18/46) 2025-08-14T21:36:58.6555478Z remote: Compressing objects: 41% (19/46) 2025-08-14T21:36:58.6557986Z remote: Compressing objects: 43% (20/46) 2025-08-14T21:36:58.6558173Z remote: Compressing objects: 45% (21/46) 2025-08-14T21:36:58.6558328Z remote: Compressing objects: 47% (22/46) 2025-08-14T21:36:58.6558463Z remote: Compressing objects: 50% (23/46) 2025-08-14T21:36:58.6558593Z remote: Compressing objects: 52% (24/46) 2025-08-14T21:36:58.6558722Z remote: Compressing objects: 54% (25/46) 2025-08-14T21:36:58.6558857Z remote: Compressing objects: 56% (26/46) 2025-08-14T21:36:58.6558987Z remote: Compressing objects: 58% (27/46) 2025-08-14T21:36:58.6559119Z remote: Compressing objects: 60% (28/46) 2025-08-14T21:36:58.6559248Z remote: Compressing objects: 63% (29/46) 2025-08-14T21:36:58.6559381Z remote: Compressing objects: 65% (30/46) 2025-08-14T21:36:58.6560980Z remote: Compressing objects: 67% (31/46) 2025-08-14T21:36:58.6561115Z remote: Compressing objects: 69% (32/46) 2025-08-14T21:36:58.6561245Z remote: Compressing objects: 71% (33/46) 2025-08-14T21:36:58.6561382Z remote: Compressing objects: 73% (34/46) 2025-08-14T21:36:58.6561512Z remote: Compressing objects: 76% (35/46) 2025-08-14T21:36:58.6561641Z remote: Compressing objects: 78% (36/46) 2025-08-14T21:36:58.6561771Z remote: Compressing objects: 80% (37/46) 2025-08-14T21:36:58.6561902Z remote: Compressing objects: 82% (38/46) 2025-08-14T21:36:58.6564391Z remote: Compressing objects: 84% (39/46) 2025-08-14T21:36:58.6564545Z remote: Compressing objects: 86% (40/46) 2025-08-14T21:36:58.6566149Z remote: Compressing objects: 89% (41/46) 2025-08-14T21:36:58.6566293Z remote: Compressing objects: 91% (42/46) 2025-08-14T21:36:58.6566536Z remote: Compressing objects: 93% (43/46) 2025-08-14T21:36:58.6566665Z remote: Compressing objects: 95% (44/46) 2025-08-14T21:36:58.6566799Z remote: Compressing objects: 97% (45/46) 2025-08-14T21:36:58.6566930Z remote: Compressing objects: 100% (46/46) 2025-08-14T21:36:58.6567080Z remote: Compressing objects: 100% (46/46), done. 2025-08-14T21:36:58.7003189Z Receiving objects: 0% (1/28228) 2025-08-14T21:36:58.7228249Z Receiving objects: 1% (283/28228) 2025-08-14T21:36:58.7240695Z Receiving objects: 2% (565/28228) 2025-08-14T21:36:58.7445526Z Receiving objects: 3% (847/28228) 2025-08-14T21:36:58.7459010Z Receiving objects: 4% (1130/28228) 2025-08-14T21:36:58.7470945Z Receiving objects: 5% (1412/28228) 2025-08-14T21:36:58.7486224Z Receiving objects: 6% (1694/28228) 2025-08-14T21:36:58.7664790Z Receiving objects: 7% (1976/28228) 2025-08-14T21:36:58.7680344Z Receiving objects: 8% (2259/28228) 2025-08-14T21:36:58.7693770Z Receiving objects: 9% (2541/28228) 2025-08-14T21:36:58.7708338Z Receiving objects: 10% (2823/28228) 2025-08-14T21:36:58.7721937Z Receiving objects: 11% (3106/28228) 2025-08-14T21:36:58.7733448Z Receiving objects: 12% (3388/28228) 2025-08-14T21:36:58.7744421Z Receiving objects: 13% (3670/28228) 2025-08-14T21:36:58.7755221Z Receiving objects: 14% (3952/28228) 2025-08-14T21:36:58.7806385Z Receiving objects: 15% (4235/28228) 2025-08-14T21:36:58.7960876Z Receiving objects: 16% (4517/28228) 2025-08-14T21:36:58.8032844Z Receiving objects: 17% (4799/28228) 2025-08-14T21:36:58.8103589Z Receiving objects: 18% (5082/28228) 2025-08-14T21:36:58.8175342Z Receiving objects: 19% (5364/28228) 2025-08-14T21:36:58.8247621Z Receiving objects: 20% (5646/28228) 2025-08-14T21:36:58.8259483Z Receiving objects: 21% (5928/28228) 2025-08-14T21:36:58.8290469Z Receiving objects: 22% (6211/28228) 2025-08-14T21:36:58.8317383Z Receiving objects: 23% (6493/28228) 2025-08-14T21:36:58.8340841Z Receiving objects: 24% (6775/28228) 2025-08-14T21:36:58.8379645Z Receiving objects: 25% (7057/28228) 2025-08-14T21:36:58.8430496Z Receiving objects: 26% (7340/28228) 2025-08-14T21:36:58.8473664Z Receiving objects: 27% (7622/28228) 2025-08-14T21:36:58.8522134Z Receiving objects: 28% (7904/28228) 2025-08-14T21:36:58.8546369Z Receiving objects: 29% (8187/28228) 2025-08-14T21:36:58.8564614Z Receiving objects: 30% (8469/28228) 2025-08-14T21:36:58.8590340Z Receiving objects: 31% (8751/28228) 2025-08-14T21:36:58.8623799Z Receiving objects: 32% (9033/28228) 2025-08-14T21:36:58.8663458Z Receiving objects: 33% (9316/28228) 2025-08-14T21:36:58.8687841Z Receiving objects: 34% (9598/28228) 2025-08-14T21:36:58.8700748Z Receiving objects: 35% (9880/28228) 2025-08-14T21:36:58.8727546Z Receiving objects: 36% (10163/28228) 2025-08-14T21:36:58.8742976Z Receiving objects: 37% (10445/28228) 2025-08-14T21:36:58.8768559Z Receiving objects: 38% (10727/28228) 2025-08-14T21:36:58.8805112Z Receiving objects: 39% (11009/28228) 2025-08-14T21:36:58.8824726Z Receiving objects: 40% (11292/28228) 2025-08-14T21:36:58.8840470Z Receiving objects: 41% (11574/28228) 2025-08-14T21:36:58.8850039Z Receiving objects: 42% (11856/28228) 2025-08-14T21:36:58.8860296Z Receiving objects: 43% (12139/28228) 2025-08-14T21:36:58.8863345Z Receiving objects: 44% (12421/28228) 2025-08-14T21:36:58.8871372Z Receiving objects: 45% (12703/28228) 2025-08-14T21:36:58.8881908Z Receiving objects: 46% (12985/28228) 2025-08-14T21:36:58.8907325Z Receiving objects: 47% (13268/28228) 2025-08-14T21:36:58.8931247Z Receiving objects: 48% (13550/28228) 2025-08-14T21:36:58.8945364Z Receiving objects: 49% (13832/28228) 2025-08-14T21:36:58.9056626Z Receiving objects: 50% (14114/28228) 2025-08-14T21:36:58.9080701Z Receiving objects: 51% (14397/28228) 2025-08-14T21:36:58.9093618Z Receiving objects: 52% (14679/28228) 2025-08-14T21:36:58.9101326Z Receiving objects: 53% (14961/28228) 2025-08-14T21:36:58.9121180Z Receiving objects: 54% (15244/28228) 2025-08-14T21:36:58.9127547Z Receiving objects: 55% (15526/28228) 2025-08-14T21:36:58.9138191Z Receiving objects: 56% (15808/28228) 2025-08-14T21:36:58.9140752Z Receiving objects: 57% (16090/28228) 2025-08-14T21:36:58.9147367Z Receiving objects: 58% (16373/28228) 2025-08-14T21:36:58.9153946Z Receiving objects: 59% (16655/28228) 2025-08-14T21:36:58.9156149Z Receiving objects: 60% (16937/28228) 2025-08-14T21:36:58.9160285Z Receiving objects: 61% (17220/28228) 2025-08-14T21:36:58.9163347Z Receiving objects: 62% (17502/28228) 2025-08-14T21:36:58.9167437Z Receiving objects: 63% (17784/28228) 2025-08-14T21:36:58.9170002Z Receiving objects: 64% (18066/28228) 2025-08-14T21:36:58.9172764Z Receiving objects: 65% (18349/28228) 2025-08-14T21:36:58.9175307Z Receiving objects: 66% (18631/28228) 2025-08-14T21:36:58.9178869Z Receiving objects: 67% (18913/28228) 2025-08-14T21:36:58.9186914Z Receiving objects: 68% (19196/28228) 2025-08-14T21:36:58.9189256Z Receiving objects: 69% (19478/28228) 2025-08-14T21:36:58.9192254Z Receiving objects: 70% (19760/28228) 2025-08-14T21:36:58.9195869Z Receiving objects: 71% (20042/28228) 2025-08-14T21:36:58.9197174Z Receiving objects: 72% (20325/28228) 2025-08-14T21:36:58.9201407Z Receiving objects: 73% (20607/28228) 2025-08-14T21:36:58.9204212Z Receiving objects: 74% (20889/28228) 2025-08-14T21:36:58.9209928Z Receiving objects: 75% (21171/28228) 2025-08-14T21:36:58.9217012Z Receiving objects: 76% (21454/28228) 2025-08-14T21:36:58.9220221Z Receiving objects: 77% (21736/28228) 2025-08-14T21:36:58.9221843Z Receiving objects: 78% (22018/28228) 2025-08-14T21:36:58.9225049Z Receiving objects: 79% (22301/28228) 2025-08-14T21:36:58.9227354Z Receiving objects: 80% (22583/28228) 2025-08-14T21:36:58.9232337Z Receiving objects: 81% (22865/28228) 2025-08-14T21:36:58.9239904Z Receiving objects: 82% (23147/28228) 2025-08-14T21:36:58.9248221Z Receiving objects: 83% (23430/28228) 2025-08-14T21:36:58.9253132Z Receiving objects: 84% (23712/28228) 2025-08-14T21:36:58.9256697Z Receiving objects: 85% (23994/28228) 2025-08-14T21:36:58.9259908Z Receiving objects: 86% (24277/28228) 2025-08-14T21:36:58.9264667Z Receiving objects: 87% (24559/28228) 2025-08-14T21:36:58.9269399Z Receiving objects: 88% (24841/28228) 2025-08-14T21:36:58.9273858Z Receiving objects: 89% (25123/28228) 2025-08-14T21:36:58.9274836Z Receiving objects: 90% (25406/28228) 2025-08-14T21:36:58.9281252Z Receiving objects: 91% (25688/28228) 2025-08-14T21:36:58.9284137Z Receiving objects: 92% (25970/28228) 2025-08-14T21:36:58.9285320Z Receiving objects: 93% (26253/28228) 2025-08-14T21:36:58.9287505Z Receiving objects: 94% (26535/28228) 2025-08-14T21:36:58.9290577Z Receiving objects: 95% (26817/28228) 2025-08-14T21:36:58.9292910Z Receiving objects: 96% (27099/28228) 2025-08-14T21:36:58.9295787Z Receiving objects: 97% (27382/28228) 2025-08-14T21:36:58.9297623Z Receiving objects: 98% (27664/28228) 2025-08-14T21:36:58.9338442Z Receiving objects: 99% (27946/28228) 2025-08-14T21:36:58.9340411Z remote: Total 28228 (delta 33), reused 22 (delta 20), pack-reused 28161 (from 3) 2025-08-14T21:36:58.9349651Z Receiving objects: 100% (28228/28228) 2025-08-14T21:36:58.9349833Z Receiving objects: 100% (28228/28228), 13.31 MiB | 50.30 MiB/s, done. 2025-08-14T21:36:58.9400819Z Resolving deltas: 0% (0/20960) 2025-08-14T21:36:58.9407305Z Resolving deltas: 1% (214/20960) 2025-08-14T21:36:58.9422173Z Resolving deltas: 2% (420/20960) 2025-08-14T21:36:58.9428878Z Resolving deltas: 3% (629/20960) 2025-08-14T21:36:58.9437304Z Resolving deltas: 4% (839/20960) 2025-08-14T21:36:58.9446175Z Resolving deltas: 5% (1049/20960) 2025-08-14T21:36:58.9469898Z Resolving deltas: 6% (1258/20960) 2025-08-14T21:36:58.9479137Z Resolving deltas: 7% (1468/20960) 2025-08-14T21:36:58.9492221Z Resolving deltas: 8% (1679/20960) 2025-08-14T21:36:58.9516175Z Resolving deltas: 9% (1887/20960) 2025-08-14T21:36:58.9531296Z Resolving deltas: 10% (2096/20960) 2025-08-14T21:36:58.9539037Z Resolving deltas: 11% (2306/20960) 2025-08-14T21:36:58.9547181Z Resolving deltas: 12% (2516/20960) 2025-08-14T21:36:58.9553625Z Resolving deltas: 13% (2725/20960) 2025-08-14T21:36:58.9561640Z Resolving deltas: 14% (2935/20960) 2025-08-14T21:36:58.9570431Z Resolving deltas: 15% (3144/20960) 2025-08-14T21:36:58.9578350Z Resolving deltas: 16% (3354/20960) 2025-08-14T21:36:58.9586640Z Resolving deltas: 17% (3564/20960) 2025-08-14T21:36:58.9610539Z Resolving deltas: 18% (3773/20960) 2025-08-14T21:36:58.9617742Z Resolving deltas: 19% (3983/20960) 2025-08-14T21:36:58.9627808Z Resolving deltas: 20% (4192/20960) 2025-08-14T21:36:58.9637131Z Resolving deltas: 21% (4404/20960) 2025-08-14T21:36:58.9644736Z Resolving deltas: 22% (4612/20960) 2025-08-14T21:36:58.9650203Z Resolving deltas: 23% (4821/20960) 2025-08-14T21:36:58.9661988Z Resolving deltas: 24% (5031/20960) 2025-08-14T21:36:58.9669053Z Resolving deltas: 25% (5240/20960) 2025-08-14T21:36:58.9675375Z Resolving deltas: 26% (5452/20960) 2025-08-14T21:36:58.9687875Z Resolving deltas: 27% (5661/20960) 2025-08-14T21:36:58.9695982Z Resolving deltas: 28% (5869/20960) 2025-08-14T21:36:58.9702857Z Resolving deltas: 29% (6080/20960) 2025-08-14T21:36:58.9711033Z Resolving deltas: 30% (6289/20960) 2025-08-14T21:36:58.9717840Z Resolving deltas: 31% (6498/20960) 2025-08-14T21:36:58.9725813Z Resolving deltas: 32% (6708/20960) 2025-08-14T21:36:58.9732910Z Resolving deltas: 33% (6917/20960) 2025-08-14T21:36:58.9740306Z Resolving deltas: 34% (7127/20960) 2025-08-14T21:36:58.9747296Z Resolving deltas: 35% (7336/20960) 2025-08-14T21:36:58.9759444Z Resolving deltas: 36% (7546/20960) 2025-08-14T21:36:58.9767193Z Resolving deltas: 37% (7757/20960) 2025-08-14T21:36:58.9773106Z Resolving deltas: 38% (7965/20960) 2025-08-14T21:36:58.9780209Z Resolving deltas: 39% (8176/20960) 2025-08-14T21:36:58.9786821Z Resolving deltas: 40% (8385/20960) 2025-08-14T21:36:58.9814508Z Resolving deltas: 41% (8596/20960) 2025-08-14T21:36:58.9821357Z Resolving deltas: 42% (8804/20960) 2025-08-14T21:36:58.9829207Z Resolving deltas: 43% (9014/20960) 2025-08-14T21:36:58.9836847Z Resolving deltas: 44% (9224/20960) 2025-08-14T21:36:58.9866643Z Resolving deltas: 45% (9433/20960) 2025-08-14T21:36:58.9880859Z Resolving deltas: 46% (9643/20960) 2025-08-14T21:36:58.9889479Z Resolving deltas: 47% (9852/20960) 2025-08-14T21:36:58.9897829Z Resolving deltas: 48% (10061/20960) 2025-08-14T21:36:58.9907182Z Resolving deltas: 49% (10272/20960) 2025-08-14T21:36:58.9915765Z Resolving deltas: 50% (10480/20960) 2025-08-14T21:36:58.9927882Z Resolving deltas: 51% (10690/20960) 2025-08-14T21:36:58.9934193Z Resolving deltas: 52% (10900/20960) 2025-08-14T21:36:58.9943302Z Resolving deltas: 53% (11109/20960) 2025-08-14T21:36:58.9951358Z Resolving deltas: 54% (11319/20960) 2025-08-14T21:36:58.9960115Z Resolving deltas: 55% (11528/20960) 2025-08-14T21:36:58.9969286Z Resolving deltas: 56% (11738/20960) 2025-08-14T21:36:58.9980111Z Resolving deltas: 57% (11948/20960) 2025-08-14T21:36:59.0009854Z Resolving deltas: 58% (12157/20960) 2025-08-14T21:36:59.0023155Z Resolving deltas: 59% (12367/20960) 2025-08-14T21:36:59.0031626Z Resolving deltas: 60% (12576/20960) 2025-08-14T21:36:59.0040257Z Resolving deltas: 61% (12786/20960) 2025-08-14T21:36:59.0048332Z Resolving deltas: 62% (12996/20960) 2025-08-14T21:36:59.0056208Z Resolving deltas: 63% (13205/20960) 2025-08-14T21:36:59.0066098Z Resolving deltas: 64% (13416/20960) 2025-08-14T21:36:59.0075039Z Resolving deltas: 65% (13624/20960) 2025-08-14T21:36:59.0084305Z Resolving deltas: 66% (13834/20960) 2025-08-14T21:36:59.0093869Z Resolving deltas: 67% (14044/20960) 2025-08-14T21:36:59.0102882Z Resolving deltas: 68% (14253/20960) 2025-08-14T21:36:59.0113757Z Resolving deltas: 69% (14463/20960) 2025-08-14T21:36:59.0124058Z Resolving deltas: 70% (14672/20960) 2025-08-14T21:36:59.0137209Z Resolving deltas: 71% (14882/20960) 2025-08-14T21:36:59.0145323Z Resolving deltas: 72% (15092/20960) 2025-08-14T21:36:59.0154611Z Resolving deltas: 73% (15301/20960) 2025-08-14T21:36:59.0163603Z Resolving deltas: 74% (15512/20960) 2025-08-14T21:36:59.0175177Z Resolving deltas: 75% (15720/20960) 2025-08-14T21:36:59.0185180Z Resolving deltas: 76% (15930/20960) 2025-08-14T21:36:59.0194203Z Resolving deltas: 77% (16140/20960) 2025-08-14T21:36:59.0203041Z Resolving deltas: 78% (16349/20960) 2025-08-14T21:36:59.0212215Z Resolving deltas: 79% (16559/20960) 2025-08-14T21:36:59.0222246Z Resolving deltas: 80% (16768/20960) 2025-08-14T21:36:59.0231182Z Resolving deltas: 81% (16978/20960) 2025-08-14T21:36:59.0240785Z Resolving deltas: 82% (17188/20960) 2025-08-14T21:36:59.0250254Z Resolving deltas: 83% (17397/20960) 2025-08-14T21:36:59.0263003Z Resolving deltas: 84% (17607/20960) 2025-08-14T21:36:59.0272067Z Resolving deltas: 85% (17816/20960) 2025-08-14T21:36:59.0281197Z Resolving deltas: 86% (18026/20960) 2025-08-14T21:36:59.0291864Z Resolving deltas: 87% (18237/20960) 2025-08-14T21:36:59.0299793Z Resolving deltas: 88% (18445/20960) 2025-08-14T21:36:59.0309720Z Resolving deltas: 89% (18655/20960) 2025-08-14T21:36:59.0329046Z Resolving deltas: 90% (18864/20960) 2025-08-14T21:36:59.0340811Z Resolving deltas: 91% (19074/20960) 2025-08-14T21:36:59.0349570Z Resolving deltas: 92% (19284/20960) 2025-08-14T21:36:59.0357802Z Resolving deltas: 93% (19494/20960) 2025-08-14T21:36:59.0366813Z Resolving deltas: 94% (19703/20960) 2025-08-14T21:36:59.0377442Z Resolving deltas: 95% (19913/20960) 2025-08-14T21:36:59.0385110Z Resolving deltas: 96% (20123/20960) 2025-08-14T21:36:59.0394685Z Resolving deltas: 97% (20332/20960) 2025-08-14T21:36:59.0404663Z Resolving deltas: 98% (20541/20960) 2025-08-14T21:36:59.0434239Z Resolving deltas: 99% (20752/20960) 2025-08-14T21:36:59.0435984Z Resolving deltas: 100% (20960/20960) 2025-08-14T21:36:59.0436142Z Resolving deltas: 100% (20960/20960), done. 2025-08-14T21:36:59.0654222Z Cloning into '/var/lib/jenkins/pytorch/fbgemm/external/hipify_torch'... 2025-08-14T21:36:59.2590495Z remote: Enumerating objects: 534, done. 2025-08-14T21:36:59.2590861Z remote: Counting objects: 0% (1/235) 2025-08-14T21:36:59.2598035Z remote: Counting objects: 1% (3/235) 2025-08-14T21:36:59.2598224Z remote: Counting objects: 2% (5/235) 2025-08-14T21:36:59.2598403Z remote: Counting objects: 3% (8/235) 2025-08-14T21:36:59.2598578Z remote: Counting objects: 4% (10/235) 2025-08-14T21:36:59.2598765Z remote: Counting objects: 5% (12/235) 2025-08-14T21:36:59.2598985Z remote: Counting objects: 6% (15/235) 2025-08-14T21:36:59.2599158Z remote: Counting objects: 7% (17/235) 2025-08-14T21:36:59.2599337Z remote: Counting objects: 8% (19/235) 2025-08-14T21:36:59.2599509Z remote: Counting objects: 9% (22/235) 2025-08-14T21:36:59.2599787Z remote: Counting objects: 10% (24/235) 2025-08-14T21:36:59.2599969Z remote: Counting objects: 11% (26/235) 2025-08-14T21:36:59.2600156Z remote: Counting objects: 12% (29/235) 2025-08-14T21:36:59.2600334Z remote: Counting objects: 13% (31/235) 2025-08-14T21:36:59.2600526Z remote: Counting objects: 14% (33/235) 2025-08-14T21:36:59.2600726Z remote: Counting objects: 15% (36/235) 2025-08-14T21:36:59.2600913Z remote: Counting objects: 16% (38/235) 2025-08-14T21:36:59.2601085Z remote: Counting objects: 17% (40/235) 2025-08-14T21:36:59.2601284Z remote: Counting objects: 18% (43/235) 2025-08-14T21:36:59.2603566Z remote: Counting objects: 19% (45/235) 2025-08-14T21:36:59.2603753Z remote: Counting objects: 20% (47/235) 2025-08-14T21:36:59.2603925Z remote: Counting objects: 21% (50/235) 2025-08-14T21:36:59.2604098Z remote: Counting objects: 22% (52/235) 2025-08-14T21:36:59.2604263Z remote: Counting objects: 23% (55/235) 2025-08-14T21:36:59.2604980Z remote: Counting objects: 24% (57/235) 2025-08-14T21:36:59.2605148Z remote: Counting objects: 25% (59/235) 2025-08-14T21:36:59.2605324Z remote: Counting objects: 26% (62/235) 2025-08-14T21:36:59.2605490Z remote: Counting objects: 27% (64/235) 2025-08-14T21:36:59.2605655Z remote: Counting objects: 28% (66/235) 2025-08-14T21:36:59.2605829Z remote: Counting objects: 29% (69/235) 2025-08-14T21:36:59.2607482Z remote: Counting objects: 30% (71/235) 2025-08-14T21:36:59.2607624Z remote: Counting objects: 31% (73/235) 2025-08-14T21:36:59.2607757Z remote: Counting objects: 32% (76/235) 2025-08-14T21:36:59.2607897Z remote: Counting objects: 33% (78/235) 2025-08-14T21:36:59.2608028Z remote: Counting objects: 34% (80/235) 2025-08-14T21:36:59.2608162Z remote: Counting objects: 35% (83/235) 2025-08-14T21:36:59.2608297Z remote: Counting objects: 36% (85/235) 2025-08-14T21:36:59.2608434Z remote: Counting objects: 37% (87/235) 2025-08-14T21:36:59.2608568Z remote: Counting objects: 38% (90/235) 2025-08-14T21:36:59.2608703Z remote: Counting objects: 39% (92/235) 2025-08-14T21:36:59.2608832Z remote: Counting objects: 40% (94/235) 2025-08-14T21:36:59.2610042Z remote: Counting objects: 41% (97/235) 2025-08-14T21:36:59.2610179Z remote: Counting objects: 42% (99/235) 2025-08-14T21:36:59.2610317Z remote: Counting objects: 43% (102/235) 2025-08-14T21:36:59.2610461Z remote: Counting objects: 44% (104/235) 2025-08-14T21:36:59.2610600Z remote: Counting objects: 45% (106/235) 2025-08-14T21:36:59.2610860Z remote: Counting objects: 46% (109/235) 2025-08-14T21:36:59.2610993Z remote: Counting objects: 47% (111/235) 2025-08-14T21:36:59.2611130Z remote: Counting objects: 48% (113/235) 2025-08-14T21:36:59.2611266Z remote: Counting objects: 49% (116/235) 2025-08-14T21:36:59.2611399Z remote: Counting objects: 50% (118/235) 2025-08-14T21:36:59.2611540Z remote: Counting objects: 51% (120/235) 2025-08-14T21:36:59.2612750Z remote: Counting objects: 52% (123/235) 2025-08-14T21:36:59.2612888Z remote: Counting objects: 53% (125/235) 2025-08-14T21:36:59.2613025Z remote: Counting objects: 54% (127/235) 2025-08-14T21:36:59.2613162Z remote: Counting objects: 55% (130/235) 2025-08-14T21:36:59.2613296Z remote: Counting objects: 56% (132/235) 2025-08-14T21:36:59.2613433Z remote: Counting objects: 57% (134/235) 2025-08-14T21:36:59.2613569Z remote: Counting objects: 58% (137/235) 2025-08-14T21:36:59.2613709Z remote: Counting objects: 59% (139/235) 2025-08-14T21:36:59.2613845Z remote: Counting objects: 60% (141/235) 2025-08-14T21:36:59.2613981Z remote: Counting objects: 61% (144/235) 2025-08-14T21:36:59.2614114Z remote: Counting objects: 62% (146/235) 2025-08-14T21:36:59.2615448Z remote: Counting objects: 63% (149/235) 2025-08-14T21:36:59.2615598Z remote: Counting objects: 64% (151/235) 2025-08-14T21:36:59.2615736Z remote: Counting objects: 65% (153/235) 2025-08-14T21:36:59.2615872Z remote: Counting objects: 66% (156/235) 2025-08-14T21:36:59.2616006Z remote: Counting objects: 67% (158/235) 2025-08-14T21:36:59.2616142Z remote: Counting objects: 68% (160/235) 2025-08-14T21:36:59.2616275Z remote: Counting objects: 69% (163/235) 2025-08-14T21:36:59.2616496Z remote: Counting objects: 70% (165/235) 2025-08-14T21:36:59.2616661Z remote: Counting objects: 71% (167/235) 2025-08-14T21:36:59.2616794Z remote: Counting objects: 72% (170/235) 2025-08-14T21:36:59.2616920Z remote: Counting objects: 73% (172/235) 2025-08-14T21:36:59.2618051Z remote: Counting objects: 74% (174/235) 2025-08-14T21:36:59.2618182Z remote: Counting objects: 75% (177/235) 2025-08-14T21:36:59.2618308Z remote: Counting objects: 76% (179/235) 2025-08-14T21:36:59.2618486Z remote: Counting objects: 77% (181/235) 2025-08-14T21:36:59.2618612Z remote: Counting objects: 78% (184/235) 2025-08-14T21:36:59.2618738Z remote: Counting objects: 79% (186/235) 2025-08-14T21:36:59.2618863Z remote: Counting objects: 80% (188/235) 2025-08-14T21:36:59.2618988Z remote: Counting objects: 81% (191/235) 2025-08-14T21:36:59.2619113Z remote: Counting objects: 82% (193/235) 2025-08-14T21:36:59.2619238Z remote: Counting objects: 83% (196/235) 2025-08-14T21:36:59.2619364Z remote: Counting objects: 84% (198/235) 2025-08-14T21:36:59.2620476Z remote: Counting objects: 85% (200/235) 2025-08-14T21:36:59.2620607Z remote: Counting objects: 86% (203/235) 2025-08-14T21:36:59.2620733Z remote: Counting objects: 87% (205/235) 2025-08-14T21:36:59.2620858Z remote: Counting objects: 88% (207/235) 2025-08-14T21:36:59.2620983Z remote: Counting objects: 89% (210/235) 2025-08-14T21:36:59.2621114Z remote: Counting objects: 90% (212/235) 2025-08-14T21:36:59.2621239Z remote: Counting objects: 91% (214/235) 2025-08-14T21:36:59.2621365Z remote: Counting objects: 92% (217/235) 2025-08-14T21:36:59.2698305Z remote: Counting objects: 93% (219/235) 2025-08-14T21:36:59.2698669Z remote: Counting objects: 94% (221/235) 2025-08-14T21:36:59.2698927Z remote: Counting objects: 95% (224/235) 2025-08-14T21:36:59.2702346Z remote: Counting objects: 96% (226/235) 2025-08-14T21:36:59.2702585Z remote: Counting objects: 97% (228/235) 2025-08-14T21:36:59.2702805Z remote: Counting objects: 98% (231/235) 2025-08-14T21:36:59.2703152Z remote: Counting objects: 99% (233/235) 2025-08-14T21:36:59.2703379Z remote: Counting objects: 100% (235/235) 2025-08-14T21:36:59.2703623Z remote: Counting objects: 100% (235/235), done. 2025-08-14T21:36:59.2703877Z remote: Compressing objects: 0% (1/115) 2025-08-14T21:36:59.2704123Z remote: Compressing objects: 1% (2/115) 2025-08-14T21:36:59.2704345Z remote: Compressing objects: 2% (3/115) 2025-08-14T21:36:59.2704571Z remote: Compressing objects: 3% (4/115) 2025-08-14T21:36:59.2704798Z remote: Compressing objects: 4% (5/115) 2025-08-14T21:36:59.2707217Z remote: Compressing objects: 5% (6/115) 2025-08-14T21:36:59.2707414Z remote: Compressing objects: 6% (7/115) 2025-08-14T21:36:59.2707608Z remote: Compressing objects: 7% (9/115) 2025-08-14T21:36:59.2707798Z remote: Compressing objects: 8% (10/115) 2025-08-14T21:36:59.2711682Z remote: Compressing objects: 9% (11/115) 2025-08-14T21:36:59.2745582Z remote: Compressing objects: 10% (12/115) 2025-08-14T21:36:59.2762991Z remote: Compressing objects: 11% (13/115) 2025-08-14T21:36:59.2788832Z remote: Compressing objects: 12% (14/115) 2025-08-14T21:36:59.2831851Z remote: Compressing objects: 13% (15/115) 2025-08-14T21:36:59.2832053Z remote: Compressing objects: 14% (17/115) 2025-08-14T21:36:59.2837017Z remote: Compressing objects: 15% (18/115) 2025-08-14T21:36:59.2837921Z remote: Compressing objects: 16% (19/115) 2025-08-14T21:36:59.2838274Z remote: Compressing objects: 17% (20/115) 2025-08-14T21:36:59.2838767Z remote: Compressing objects: 18% (21/115) 2025-08-14T21:36:59.2840067Z remote: Compressing objects: 19% (22/115) 2025-08-14T21:36:59.2844262Z remote: Compressing objects: 20% (23/115) 2025-08-14T21:36:59.2844570Z remote: Compressing objects: 21% (25/115) 2025-08-14T21:36:59.2844876Z remote: Compressing objects: 22% (26/115) 2025-08-14T21:36:59.2845137Z remote: Compressing objects: 23% (27/115) 2025-08-14T21:36:59.2845409Z remote: Compressing objects: 24% (28/115) 2025-08-14T21:36:59.2845676Z remote: Compressing objects: 25% (29/115) 2025-08-14T21:36:59.2851815Z remote: Compressing objects: 26% (30/115) 2025-08-14T21:36:59.2852383Z remote: Compressing objects: 27% (32/115) 2025-08-14T21:36:59.2852598Z remote: Compressing objects: 28% (33/115) 2025-08-14T21:36:59.2852812Z remote: Compressing objects: 29% (34/115) 2025-08-14T21:36:59.2853030Z remote: Compressing objects: 30% (35/115) 2025-08-14T21:36:59.2853245Z remote: Compressing objects: 31% (36/115) 2025-08-14T21:36:59.2853472Z remote: Compressing objects: 32% (37/115) 2025-08-14T21:36:59.2853684Z remote: Compressing objects: 33% (38/115) 2025-08-14T21:36:59.2853894Z remote: Compressing objects: 34% (40/115) 2025-08-14T21:36:59.2854109Z remote: Compressing objects: 35% (41/115) 2025-08-14T21:36:59.2854322Z remote: Compressing objects: 36% (42/115) 2025-08-14T21:36:59.2854554Z remote: Compressing objects: 37% (43/115) 2025-08-14T21:36:59.2854784Z remote: Compressing objects: 38% (44/115) 2025-08-14T21:36:59.2855010Z remote: Compressing objects: 39% (45/115) 2025-08-14T21:36:59.2855244Z remote: Compressing objects: 40% (46/115) 2025-08-14T21:36:59.2857855Z remote: Compressing objects: 41% (48/115) 2025-08-14T21:36:59.2858019Z remote: Compressing objects: 42% (49/115) 2025-08-14T21:36:59.2870479Z remote: Compressing objects: 43% (50/115) 2025-08-14T21:36:59.2870667Z remote: Compressing objects: 44% (51/115) 2025-08-14T21:36:59.2870816Z remote: Compressing objects: 45% (52/115) 2025-08-14T21:36:59.2870988Z remote: Compressing objects: 46% (53/115) 2025-08-14T21:36:59.2871144Z remote: Compressing objects: 47% (55/115) 2025-08-14T21:36:59.2871436Z remote: Compressing objects: 48% (56/115) 2025-08-14T21:36:59.2871583Z remote: Compressing objects: 49% (57/115) 2025-08-14T21:36:59.2871726Z remote: Compressing objects: 50% (58/115) 2025-08-14T21:36:59.2873577Z remote: Compressing objects: 51% (59/115) 2025-08-14T21:36:59.2873740Z remote: Compressing objects: 52% (60/115) 2025-08-14T21:36:59.2873902Z remote: Compressing objects: 53% (61/115) 2025-08-14T21:36:59.2874050Z remote: Compressing objects: 54% (63/115) 2025-08-14T21:36:59.2874194Z remote: Compressing objects: 55% (64/115) 2025-08-14T21:36:59.2874342Z remote: Compressing objects: 56% (65/115) 2025-08-14T21:36:59.2874492Z remote: Compressing objects: 57% (66/115) 2025-08-14T21:36:59.2874636Z remote: Compressing objects: 58% (67/115) 2025-08-14T21:36:59.2874781Z remote: Compressing objects: 59% (68/115) 2025-08-14T21:36:59.2874924Z remote: Compressing objects: 60% (69/115) 2025-08-14T21:36:59.2875076Z remote: Compressing objects: 61% (71/115) 2025-08-14T21:36:59.2876594Z remote: Compressing objects: 62% (72/115) 2025-08-14T21:36:59.2876743Z remote: Compressing objects: 63% (73/115) 2025-08-14T21:36:59.2876887Z remote: Compressing objects: 64% (74/115) 2025-08-14T21:36:59.2877040Z remote: Compressing objects: 65% (75/115) 2025-08-14T21:36:59.2877183Z remote: Compressing objects: 66% (76/115) 2025-08-14T21:36:59.2877328Z remote: Compressing objects: 67% (78/115) 2025-08-14T21:36:59.2877472Z remote: Compressing objects: 68% (79/115) 2025-08-14T21:36:59.2877615Z remote: Compressing objects: 69% (80/115) 2025-08-14T21:36:59.2877758Z remote: Compressing objects: 70% (81/115) 2025-08-14T21:36:59.2877892Z remote: Compressing objects: 71% (82/115) 2025-08-14T21:36:59.2878026Z remote: Compressing objects: 72% (83/115) 2025-08-14T21:36:59.2879284Z remote: Compressing objects: 73% (84/115) 2025-08-14T21:36:59.2879421Z remote: Compressing objects: 74% (86/115) 2025-08-14T21:36:59.2879557Z remote: Compressing objects: 75% (87/115) 2025-08-14T21:36:59.2879755Z remote: Compressing objects: 76% (88/115) 2025-08-14T21:36:59.2879893Z remote: Compressing objects: 77% (89/115) 2025-08-14T21:36:59.2880089Z remote: Compressing objects: 78% (90/115) 2025-08-14T21:36:59.2880224Z remote: Compressing objects: 79% (91/115) 2025-08-14T21:36:59.2880359Z remote: Compressing objects: 80% (92/115) 2025-08-14T21:36:59.2880496Z remote: Compressing objects: 81% (94/115) 2025-08-14T21:36:59.2880630Z remote: Compressing objects: 82% (95/115) 2025-08-14T21:36:59.2880764Z remote: Compressing objects: 83% (96/115) 2025-08-14T21:36:59.2882067Z remote: Compressing objects: 84% (97/115) 2025-08-14T21:36:59.2882212Z remote: Compressing objects: 85% (98/115) 2025-08-14T21:36:59.2882350Z remote: Compressing objects: 86% (99/115) 2025-08-14T21:36:59.2882488Z remote: Compressing objects: 87% (101/115) 2025-08-14T21:36:59.2882628Z remote: Compressing objects: 88% (102/115) 2025-08-14T21:36:59.2882769Z remote: Compressing objects: 89% (103/115) 2025-08-14T21:36:59.2882906Z remote: Compressing objects: 90% (104/115) 2025-08-14T21:36:59.2883046Z remote: Compressing objects: 91% (105/115) 2025-08-14T21:36:59.2883182Z remote: Compressing objects: 92% (106/115) 2025-08-14T21:36:59.2883318Z remote: Compressing objects: 93% (107/115) 2025-08-14T21:36:59.2883453Z remote: Compressing objects: 94% (109/115) 2025-08-14T21:36:59.2883589Z remote: Compressing objects: 95% (110/115) 2025-08-14T21:36:59.2884808Z remote: Compressing objects: 96% (111/115) 2025-08-14T21:36:59.2884947Z remote: Compressing objects: 97% (112/115) 2025-08-14T21:36:59.2885084Z remote: Compressing objects: 98% (113/115) 2025-08-14T21:36:59.2885273Z remote: Compressing objects: 99% (114/115) 2025-08-14T21:36:59.2885409Z remote: Compressing objects: 100% (115/115) 2025-08-14T21:36:59.2885562Z remote: Compressing objects: 100% (115/115), done. 2025-08-14T21:36:59.2964313Z Receiving objects: 0% (1/534) 2025-08-14T21:36:59.2964453Z Receiving objects: 1% (6/534) 2025-08-14T21:36:59.2965644Z Receiving objects: 2% (11/534) 2025-08-14T21:36:59.3007277Z Receiving objects: 3% (17/534) 2025-08-14T21:36:59.3009880Z Receiving objects: 4% (22/534) 2025-08-14T21:36:59.3010010Z Receiving objects: 5% (27/534) 2025-08-14T21:36:59.3010122Z Receiving objects: 6% (33/534) 2025-08-14T21:36:59.3010230Z Receiving objects: 7% (38/534) 2025-08-14T21:36:59.3010335Z Receiving objects: 8% (43/534) 2025-08-14T21:36:59.3013589Z Receiving objects: 9% (49/534) 2025-08-14T21:36:59.3013923Z Receiving objects: 10% (54/534) 2025-08-14T21:36:59.3014084Z Receiving objects: 11% (59/534) 2025-08-14T21:36:59.3014222Z Receiving objects: 12% (65/534) 2025-08-14T21:36:59.3014354Z Receiving objects: 13% (70/534) 2025-08-14T21:36:59.3014475Z Receiving objects: 14% (75/534) 2025-08-14T21:36:59.3017771Z Receiving objects: 15% (81/534) 2025-08-14T21:36:59.3019363Z Receiving objects: 16% (86/534) 2025-08-14T21:36:59.3019481Z Receiving objects: 17% (91/534) 2025-08-14T21:36:59.3019806Z Receiving objects: 18% (97/534) 2025-08-14T21:36:59.3019958Z Receiving objects: 19% (102/534) 2025-08-14T21:36:59.3020641Z Receiving objects: 20% (107/534) 2025-08-14T21:36:59.3020782Z Receiving objects: 21% (113/534) 2025-08-14T21:36:59.3020998Z Receiving objects: 22% (118/534) 2025-08-14T21:36:59.3045030Z Receiving objects: 23% (123/534) 2025-08-14T21:36:59.3045181Z Receiving objects: 24% (129/534) 2025-08-14T21:36:59.3047716Z Receiving objects: 25% (134/534) 2025-08-14T21:36:59.3047855Z Receiving objects: 26% (139/534) 2025-08-14T21:36:59.3047972Z Receiving objects: 27% (145/534) 2025-08-14T21:36:59.3048080Z Receiving objects: 28% (150/534) 2025-08-14T21:36:59.3048204Z Receiving objects: 29% (155/534) 2025-08-14T21:36:59.3048314Z Receiving objects: 30% (161/534) 2025-08-14T21:36:59.3048425Z Receiving objects: 31% (166/534) 2025-08-14T21:36:59.3048542Z Receiving objects: 32% (171/534) 2025-08-14T21:36:59.3048650Z Receiving objects: 33% (177/534) 2025-08-14T21:36:59.3048759Z Receiving objects: 34% (182/534) 2025-08-14T21:36:59.3049049Z Receiving objects: 35% (187/534) 2025-08-14T21:36:59.3050459Z Receiving objects: 36% (193/534) 2025-08-14T21:36:59.3050564Z Receiving objects: 37% (198/534) 2025-08-14T21:36:59.3050669Z Receiving objects: 38% (203/534) 2025-08-14T21:36:59.3137188Z Receiving objects: 39% (209/534) 2025-08-14T21:36:59.3137445Z Receiving objects: 40% (214/534) 2025-08-14T21:36:59.3137584Z Receiving objects: 41% (219/534) 2025-08-14T21:36:59.3137700Z Receiving objects: 42% (225/534) 2025-08-14T21:36:59.3137810Z Receiving objects: 43% (230/534) 2025-08-14T21:36:59.3137919Z Receiving objects: 44% (235/534) 2025-08-14T21:36:59.3138032Z Receiving objects: 45% (241/534) 2025-08-14T21:36:59.3140036Z Receiving objects: 46% (246/534) 2025-08-14T21:36:59.3180450Z Receiving objects: 47% (251/534) 2025-08-14T21:36:59.3180808Z Receiving objects: 48% (257/534) 2025-08-14T21:36:59.3180972Z Receiving objects: 49% (262/534) 2025-08-14T21:36:59.3195347Z Receiving objects: 50% (267/534) 2025-08-14T21:36:59.3195522Z Receiving objects: 51% (273/534) 2025-08-14T21:36:59.3195660Z Receiving objects: 52% (278/534) 2025-08-14T21:36:59.3195793Z Receiving objects: 53% (284/534) 2025-08-14T21:36:59.3221693Z Receiving objects: 54% (289/534) 2025-08-14T21:36:59.3221845Z Receiving objects: 55% (294/534) 2025-08-14T21:36:59.3221967Z Receiving objects: 56% (300/534) 2025-08-14T21:36:59.3222076Z Receiving objects: 57% (305/534) 2025-08-14T21:36:59.3222187Z Receiving objects: 58% (310/534) 2025-08-14T21:36:59.3267867Z Receiving objects: 59% (316/534) 2025-08-14T21:36:59.3268011Z Receiving objects: 60% (321/534) 2025-08-14T21:36:59.3268256Z Receiving objects: 61% (326/534) 2025-08-14T21:36:59.3268368Z Receiving objects: 62% (332/534) 2025-08-14T21:36:59.3268485Z Receiving objects: 63% (337/534) 2025-08-14T21:36:59.3268608Z Receiving objects: 64% (342/534) 2025-08-14T21:36:59.3268730Z Receiving objects: 65% (348/534) 2025-08-14T21:36:59.3268852Z Receiving objects: 66% (353/534) 2025-08-14T21:36:59.3268982Z Receiving objects: 67% (358/534) 2025-08-14T21:36:59.3269096Z Receiving objects: 68% (364/534) 2025-08-14T21:36:59.3269215Z Receiving objects: 69% (369/534) 2025-08-14T21:36:59.3269335Z Receiving objects: 70% (374/534) 2025-08-14T21:36:59.3269455Z Receiving objects: 71% (380/534) 2025-08-14T21:36:59.3269575Z Receiving objects: 72% (385/534) 2025-08-14T21:36:59.3269692Z Receiving objects: 73% (390/534) 2025-08-14T21:36:59.3269810Z Receiving objects: 74% (396/534) 2025-08-14T21:36:59.3269928Z Receiving objects: 75% (401/534) 2025-08-14T21:36:59.3311721Z Receiving objects: 76% (406/534) 2025-08-14T21:36:59.3312090Z Receiving objects: 77% (412/534) 2025-08-14T21:36:59.3362596Z Receiving objects: 78% (417/534) 2025-08-14T21:36:59.3364458Z Receiving objects: 79% (422/534) 2025-08-14T21:36:59.3364621Z Receiving objects: 80% (428/534) 2025-08-14T21:36:59.3366389Z Receiving objects: 81% (433/534) 2025-08-14T21:36:59.3366662Z Receiving objects: 82% (438/534) 2025-08-14T21:36:59.3369537Z Receiving objects: 83% (444/534) 2025-08-14T21:36:59.3369687Z Receiving objects: 84% (449/534) 2025-08-14T21:36:59.3369805Z Receiving objects: 85% (454/534) 2025-08-14T21:36:59.3369928Z Receiving objects: 86% (460/534) 2025-08-14T21:36:59.3370054Z Receiving objects: 87% (465/534) 2025-08-14T21:36:59.3370176Z Receiving objects: 88% (470/534) 2025-08-14T21:36:59.3370311Z Receiving objects: 89% (476/534) 2025-08-14T21:36:59.3370434Z Receiving objects: 90% (481/534) 2025-08-14T21:36:59.3370559Z Receiving objects: 91% (486/534) 2025-08-14T21:36:59.3370684Z Receiving objects: 92% (492/534) 2025-08-14T21:36:59.3370807Z Receiving objects: 93% (497/534) 2025-08-14T21:36:59.3374238Z Receiving objects: 94% (502/534) 2025-08-14T21:36:59.3374423Z Receiving objects: 95% (508/534) 2025-08-14T21:36:59.3374537Z Receiving objects: 96% (513/534) 2025-08-14T21:36:59.3374640Z Receiving objects: 97% (518/534) 2025-08-14T21:36:59.3441819Z Receiving objects: 98% (524/534) 2025-08-14T21:36:59.3442448Z remote: Total 534 (delta 168), reused 124 (delta 117), pack-reused 299 (from 2) 2025-08-14T21:36:59.3447467Z Receiving objects: 99% (529/534) 2025-08-14T21:36:59.3447871Z Receiving objects: 100% (534/534) 2025-08-14T21:36:59.3448285Z Receiving objects: 100% (534/534), 251.05 KiB | 5.12 MiB/s, done. 2025-08-14T21:36:59.3450499Z Resolving deltas: 0% (0/295) 2025-08-14T21:36:59.3456739Z Resolving deltas: 1% (3/295) 2025-08-14T21:36:59.3457293Z Resolving deltas: 2% (6/295) 2025-08-14T21:36:59.3457473Z Resolving deltas: 3% (9/295) 2025-08-14T21:36:59.3457615Z Resolving deltas: 4% (13/295) 2025-08-14T21:36:59.3457748Z Resolving deltas: 5% (15/295) 2025-08-14T21:36:59.3457893Z Resolving deltas: 6% (18/295) 2025-08-14T21:36:59.3458016Z Resolving deltas: 7% (21/295) 2025-08-14T21:36:59.3458141Z Resolving deltas: 8% (24/295) 2025-08-14T21:36:59.3458270Z Resolving deltas: 9% (27/295) 2025-08-14T21:36:59.3458390Z Resolving deltas: 10% (30/295) 2025-08-14T21:36:59.3458509Z Resolving deltas: 11% (33/295) 2025-08-14T21:36:59.3461320Z Resolving deltas: 12% (36/295) 2025-08-14T21:36:59.3461433Z Resolving deltas: 13% (39/295) 2025-08-14T21:36:59.3461536Z Resolving deltas: 14% (42/295) 2025-08-14T21:36:59.3461637Z Resolving deltas: 15% (45/295) 2025-08-14T21:36:59.3461740Z Resolving deltas: 16% (48/295) 2025-08-14T21:36:59.3461858Z Resolving deltas: 17% (51/295) 2025-08-14T21:36:59.3461964Z Resolving deltas: 18% (54/295) 2025-08-14T21:36:59.3462070Z Resolving deltas: 19% (57/295) 2025-08-14T21:36:59.3462172Z Resolving deltas: 20% (59/295) 2025-08-14T21:36:59.3462273Z Resolving deltas: 21% (62/295) 2025-08-14T21:36:59.3462376Z Resolving deltas: 22% (65/295) 2025-08-14T21:36:59.3464404Z Resolving deltas: 23% (68/295) 2025-08-14T21:36:59.3464513Z Resolving deltas: 24% (71/295) 2025-08-14T21:36:59.3464613Z Resolving deltas: 25% (74/295) 2025-08-14T21:36:59.3464713Z Resolving deltas: 26% (77/295) 2025-08-14T21:36:59.3464812Z Resolving deltas: 27% (80/295) 2025-08-14T21:36:59.3464917Z Resolving deltas: 28% (83/295) 2025-08-14T21:36:59.3465031Z Resolving deltas: 29% (86/295) 2025-08-14T21:36:59.3465131Z Resolving deltas: 30% (89/295) 2025-08-14T21:36:59.3465232Z Resolving deltas: 31% (93/295) 2025-08-14T21:36:59.3465334Z Resolving deltas: 32% (95/295) 2025-08-14T21:36:59.3465436Z Resolving deltas: 33% (98/295) 2025-08-14T21:36:59.3465556Z Resolving deltas: 34% (101/295) 2025-08-14T21:36:59.3467249Z Resolving deltas: 35% (104/295) 2025-08-14T21:36:59.3467384Z Resolving deltas: 36% (107/295) 2025-08-14T21:36:59.3467489Z Resolving deltas: 37% (110/295) 2025-08-14T21:36:59.3467592Z Resolving deltas: 38% (113/295) 2025-08-14T21:36:59.3467701Z Resolving deltas: 39% (116/295) 2025-08-14T21:36:59.3467805Z Resolving deltas: 40% (118/295) 2025-08-14T21:36:59.3467913Z Resolving deltas: 41% (121/295) 2025-08-14T21:36:59.3468021Z Resolving deltas: 42% (124/295) 2025-08-14T21:36:59.3468129Z Resolving deltas: 43% (127/295) 2025-08-14T21:36:59.3468231Z Resolving deltas: 44% (130/295) 2025-08-14T21:36:59.3468336Z Resolving deltas: 45% (133/295) 2025-08-14T21:36:59.3470032Z Resolving deltas: 46% (136/295) 2025-08-14T21:36:59.3470160Z Resolving deltas: 47% (139/295) 2025-08-14T21:36:59.3470276Z Resolving deltas: 48% (142/295) 2025-08-14T21:36:59.3470378Z Resolving deltas: 49% (145/295) 2025-08-14T21:36:59.3470480Z Resolving deltas: 50% (148/295) 2025-08-14T21:36:59.3470585Z Resolving deltas: 51% (152/295) 2025-08-14T21:36:59.3470694Z Resolving deltas: 52% (154/295) 2025-08-14T21:36:59.3470797Z Resolving deltas: 53% (158/295) 2025-08-14T21:36:59.3470900Z Resolving deltas: 54% (160/295) 2025-08-14T21:36:59.3471001Z Resolving deltas: 55% (164/295) 2025-08-14T21:36:59.3471111Z Resolving deltas: 56% (166/295) 2025-08-14T21:36:59.3473179Z Resolving deltas: 57% (169/295) 2025-08-14T21:36:59.3473282Z Resolving deltas: 58% (172/295) 2025-08-14T21:36:59.3473384Z Resolving deltas: 59% (175/295) 2025-08-14T21:36:59.3473487Z Resolving deltas: 60% (179/295) 2025-08-14T21:36:59.3473588Z Resolving deltas: 61% (180/295) 2025-08-14T21:36:59.3473816Z Resolving deltas: 62% (183/295) 2025-08-14T21:36:59.3473919Z Resolving deltas: 63% (188/295) 2025-08-14T21:36:59.3474034Z Resolving deltas: 64% (189/295) 2025-08-14T21:36:59.3474137Z Resolving deltas: 65% (192/295) 2025-08-14T21:36:59.3474239Z Resolving deltas: 66% (197/295) 2025-08-14T21:36:59.3475756Z Resolving deltas: 67% (198/295) 2025-08-14T21:36:59.3475888Z Resolving deltas: 68% (201/295) 2025-08-14T21:36:59.3475989Z Resolving deltas: 69% (204/295) 2025-08-14T21:36:59.3476090Z Resolving deltas: 70% (207/295) 2025-08-14T21:36:59.3476191Z Resolving deltas: 71% (210/295) 2025-08-14T21:36:59.3476301Z Resolving deltas: 72% (213/295) 2025-08-14T21:36:59.3476402Z Resolving deltas: 73% (216/295) 2025-08-14T21:36:59.3476605Z Resolving deltas: 74% (219/295) 2025-08-14T21:36:59.3476713Z Resolving deltas: 75% (222/295) 2025-08-14T21:36:59.3476816Z Resolving deltas: 76% (225/295) 2025-08-14T21:36:59.3476920Z Resolving deltas: 77% (228/295) 2025-08-14T21:36:59.3478446Z Resolving deltas: 78% (231/295) 2025-08-14T21:36:59.3479478Z Resolving deltas: 79% (234/295) 2025-08-14T21:36:59.3485019Z Resolving deltas: 80% (236/295) 2025-08-14T21:36:59.3490841Z Resolving deltas: 81% (239/295) 2025-08-14T21:36:59.3495784Z Resolving deltas: 82% (242/295) 2025-08-14T21:36:59.3500776Z Resolving deltas: 83% (245/295) 2025-08-14T21:36:59.3504992Z Resolving deltas: 84% (248/295) 2025-08-14T21:36:59.3509926Z Resolving deltas: 85% (251/295) 2025-08-14T21:36:59.3512557Z Resolving deltas: 86% (254/295) 2025-08-14T21:36:59.3514043Z Resolving deltas: 87% (257/295) 2025-08-14T21:36:59.3524621Z Resolving deltas: 88% (260/295) 2025-08-14T21:36:59.3538185Z Resolving deltas: 89% (263/295) 2025-08-14T21:36:59.3550653Z Resolving deltas: 90% (266/295) 2025-08-14T21:36:59.3563667Z Resolving deltas: 91% (269/295) 2025-08-14T21:36:59.3576027Z Resolving deltas: 92% (272/295) 2025-08-14T21:36:59.3588462Z Resolving deltas: 93% (275/295) 2025-08-14T21:36:59.3602821Z Resolving deltas: 94% (278/295) 2025-08-14T21:36:59.3614997Z Resolving deltas: 95% (281/295) 2025-08-14T21:36:59.3627678Z Resolving deltas: 96% (284/295) 2025-08-14T21:36:59.3640478Z Resolving deltas: 97% (287/295) 2025-08-14T21:36:59.3652547Z Resolving deltas: 98% (290/295) 2025-08-14T21:36:59.3660528Z Resolving deltas: 99% (293/295) 2025-08-14T21:36:59.3661827Z Resolving deltas: 100% (295/295) 2025-08-14T21:36:59.3662230Z Resolving deltas: 100% (295/295), done. 2025-08-14T21:36:59.3753501Z Cloning into '/var/lib/jenkins/pytorch/fbgemm/external/json'... 2025-08-14T21:36:59.6317683Z remote: Enumerating objects: 63020, done. 2025-08-14T21:36:59.6318315Z remote: Counting objects: 1% (1/92) 2025-08-14T21:36:59.6318686Z remote: Counting objects: 2% (2/92) 2025-08-14T21:36:59.6319046Z remote: Counting objects: 3% (3/92) 2025-08-14T21:36:59.6319402Z remote: Counting objects: 4% (4/92) 2025-08-14T21:36:59.6329116Z remote: Counting objects: 5% (5/92) 2025-08-14T21:36:59.6329395Z remote: Counting objects: 6% (6/92) 2025-08-14T21:36:59.6329625Z remote: Counting objects: 7% (7/92) 2025-08-14T21:36:59.6329836Z remote: Counting objects: 8% (8/92) 2025-08-14T21:36:59.6330045Z remote: Counting objects: 9% (9/92) 2025-08-14T21:36:59.6330260Z remote: Counting objects: 10% (10/92) 2025-08-14T21:36:59.6330488Z remote: Counting objects: 11% (11/92) 2025-08-14T21:36:59.6330703Z remote: Counting objects: 13% (12/92) 2025-08-14T21:36:59.6330912Z remote: Counting objects: 14% (13/92) 2025-08-14T21:36:59.6331120Z remote: Counting objects: 15% (14/92) 2025-08-14T21:36:59.6331335Z remote: Counting objects: 16% (15/92) 2025-08-14T21:36:59.6331544Z remote: Counting objects: 17% (16/92) 2025-08-14T21:36:59.6331776Z remote: Counting objects: 18% (17/92) 2025-08-14T21:36:59.6332000Z remote: Counting objects: 19% (18/92) 2025-08-14T21:36:59.6332241Z remote: Counting objects: 20% (19/92) 2025-08-14T21:36:59.6332846Z remote: Counting objects: 21% (20/92) 2025-08-14T21:36:59.6333069Z remote: Counting objects: 22% (21/92) 2025-08-14T21:36:59.6333305Z remote: Counting objects: 23% (22/92) 2025-08-14T21:36:59.6333532Z remote: Counting objects: 25% (23/92) 2025-08-14T21:36:59.6333759Z remote: Counting objects: 26% (24/92) 2025-08-14T21:36:59.6333992Z remote: Counting objects: 27% (25/92) 2025-08-14T21:36:59.6334214Z remote: Counting objects: 28% (26/92) 2025-08-14T21:36:59.6334446Z remote: Counting objects: 29% (27/92) 2025-08-14T21:36:59.6334669Z remote: Counting objects: 30% (28/92) 2025-08-14T21:36:59.6337522Z remote: Counting objects: 31% (29/92) 2025-08-14T21:36:59.6337692Z remote: Counting objects: 32% (30/92) 2025-08-14T21:36:59.6337851Z remote: Counting objects: 33% (31/92) 2025-08-14T21:36:59.6338010Z remote: Counting objects: 34% (32/92) 2025-08-14T21:36:59.6338179Z remote: Counting objects: 35% (33/92) 2025-08-14T21:36:59.6338335Z remote: Counting objects: 36% (34/92) 2025-08-14T21:36:59.6338492Z remote: Counting objects: 38% (35/92) 2025-08-14T21:36:59.6338648Z remote: Counting objects: 39% (36/92) 2025-08-14T21:36:59.6338807Z remote: Counting objects: 40% (37/92) 2025-08-14T21:36:59.6338963Z remote: Counting objects: 41% (38/92) 2025-08-14T21:36:59.6339120Z remote: Counting objects: 42% (39/92) 2025-08-14T21:36:59.6340689Z remote: Counting objects: 43% (40/92) 2025-08-14T21:36:59.6340854Z remote: Counting objects: 44% (41/92) 2025-08-14T21:36:59.6341171Z remote: Counting objects: 45% (42/92) 2025-08-14T21:36:59.6341329Z remote: Counting objects: 46% (43/92) 2025-08-14T21:36:59.6341486Z remote: Counting objects: 47% (44/92) 2025-08-14T21:36:59.6341650Z remote: Counting objects: 48% (45/92) 2025-08-14T21:36:59.6341810Z remote: Counting objects: 50% (46/92) 2025-08-14T21:36:59.6341972Z remote: Counting objects: 51% (47/92) 2025-08-14T21:36:59.6342130Z remote: Counting objects: 52% (48/92) 2025-08-14T21:36:59.6342289Z remote: Counting objects: 53% (49/92) 2025-08-14T21:36:59.6342446Z remote: Counting objects: 54% (50/92) 2025-08-14T21:36:59.6343917Z remote: Counting objects: 55% (51/92) 2025-08-14T21:36:59.6344080Z remote: Counting objects: 56% (52/92) 2025-08-14T21:36:59.6344240Z remote: Counting objects: 57% (53/92) 2025-08-14T21:36:59.6344398Z remote: Counting objects: 58% (54/92) 2025-08-14T21:36:59.6344562Z remote: Counting objects: 59% (55/92) 2025-08-14T21:36:59.6344723Z remote: Counting objects: 60% (56/92) 2025-08-14T21:36:59.6344884Z remote: Counting objects: 61% (57/92) 2025-08-14T21:36:59.6345044Z remote: Counting objects: 63% (58/92) 2025-08-14T21:36:59.6345201Z remote: Counting objects: 64% (59/92) 2025-08-14T21:36:59.6345361Z remote: Counting objects: 65% (60/92) 2025-08-14T21:36:59.6345519Z remote: Counting objects: 66% (61/92) 2025-08-14T21:36:59.6348099Z remote: Counting objects: 67% (62/92) 2025-08-14T21:36:59.6348236Z remote: Counting objects: 68% (63/92) 2025-08-14T21:36:59.6348362Z remote: Counting objects: 69% (64/92) 2025-08-14T21:36:59.6348490Z remote: Counting objects: 70% (65/92) 2025-08-14T21:36:59.6348616Z remote: Counting objects: 71% (66/92) 2025-08-14T21:36:59.6348744Z remote: Counting objects: 72% (67/92) 2025-08-14T21:36:59.6348869Z remote: Counting objects: 73% (68/92) 2025-08-14T21:36:59.6349004Z remote: Counting objects: 75% (69/92) 2025-08-14T21:36:59.6349130Z remote: Counting objects: 76% (70/92) 2025-08-14T21:36:59.6349259Z remote: Counting objects: 77% (71/92) 2025-08-14T21:36:59.6349384Z remote: Counting objects: 78% (72/92) 2025-08-14T21:36:59.6350536Z remote: Counting objects: 79% (73/92) 2025-08-14T21:36:59.6350726Z remote: Counting objects: 80% (74/92) 2025-08-14T21:36:59.6350853Z remote: Counting objects: 81% (75/92) 2025-08-14T21:36:59.6350979Z remote: Counting objects: 82% (76/92) 2025-08-14T21:36:59.6351107Z remote: Counting objects: 83% (77/92) 2025-08-14T21:36:59.6351233Z remote: Counting objects: 84% (78/92) 2025-08-14T21:36:59.6351360Z remote: Counting objects: 85% (79/92) 2025-08-14T21:36:59.6351486Z remote: Counting objects: 86% (80/92) 2025-08-14T21:36:59.6351614Z remote: Counting objects: 88% (81/92) 2025-08-14T21:36:59.6351743Z remote: Counting objects: 89% (82/92) 2025-08-14T21:36:59.6351870Z remote: Counting objects: 90% (83/92) 2025-08-14T21:36:59.6353003Z remote: Counting objects: 91% (84/92) 2025-08-14T21:36:59.6353137Z remote: Counting objects: 92% (85/92) 2025-08-14T21:36:59.6353262Z remote: Counting objects: 93% (86/92) 2025-08-14T21:36:59.6353393Z remote: Counting objects: 94% (87/92) 2025-08-14T21:36:59.6353519Z remote: Counting objects: 95% (88/92) 2025-08-14T21:36:59.6353648Z remote: Counting objects: 96% (89/92) 2025-08-14T21:36:59.6353773Z remote: Counting objects: 97% (90/92) 2025-08-14T21:36:59.6353900Z remote: Counting objects: 98% (91/92) 2025-08-14T21:36:59.6354026Z remote: Counting objects: 100% (92/92) 2025-08-14T21:36:59.6354168Z remote: Counting objects: 100% (92/92), done. 2025-08-14T21:36:59.6354316Z remote: Compressing objects: 1% (1/76) 2025-08-14T21:36:59.6447860Z remote: Compressing objects: 2% (2/76) 2025-08-14T21:36:59.6505923Z remote: Compressing objects: 3% (3/76) 2025-08-14T21:36:59.6528142Z remote: Compressing objects: 5% (4/76) 2025-08-14T21:36:59.6551869Z remote: Compressing objects: 6% (5/76) 2025-08-14T21:36:59.6562783Z remote: Compressing objects: 7% (6/76) 2025-08-14T21:36:59.6563106Z remote: Compressing objects: 9% (7/76) 2025-08-14T21:36:59.6569265Z remote: Compressing objects: 10% (8/76) 2025-08-14T21:36:59.6573114Z remote: Compressing objects: 11% (9/76) 2025-08-14T21:36:59.6575094Z remote: Compressing objects: 13% (10/76) 2025-08-14T21:36:59.6576389Z remote: Compressing objects: 14% (11/76) 2025-08-14T21:36:59.6583389Z remote: Compressing objects: 15% (12/76) 2025-08-14T21:36:59.6583650Z remote: Compressing objects: 17% (13/76) 2025-08-14T21:36:59.6584267Z remote: Compressing objects: 18% (14/76) 2025-08-14T21:36:59.6588747Z remote: Compressing objects: 19% (15/76) 2025-08-14T21:36:59.6588946Z remote: Compressing objects: 21% (16/76) 2025-08-14T21:36:59.6592246Z remote: Compressing objects: 22% (17/76) 2025-08-14T21:36:59.6592771Z remote: Compressing objects: 23% (18/76) 2025-08-14T21:36:59.6593037Z remote: Compressing objects: 25% (19/76) 2025-08-14T21:36:59.6594717Z remote: Compressing objects: 26% (20/76) 2025-08-14T21:36:59.6657416Z remote: Compressing objects: 27% (21/76) 2025-08-14T21:36:59.6657651Z remote: Compressing objects: 28% (22/76) 2025-08-14T21:36:59.6663225Z remote: Compressing objects: 30% (23/76) 2025-08-14T21:36:59.6663435Z remote: Compressing objects: 31% (24/76) 2025-08-14T21:36:59.6663630Z remote: Compressing objects: 32% (25/76) 2025-08-14T21:36:59.6663821Z remote: Compressing objects: 34% (26/76) 2025-08-14T21:36:59.6664017Z remote: Compressing objects: 35% (27/76) 2025-08-14T21:36:59.6664210Z remote: Compressing objects: 36% (28/76) 2025-08-14T21:36:59.6664419Z remote: Compressing objects: 38% (29/76) 2025-08-14T21:36:59.6664608Z remote: Compressing objects: 39% (30/76) 2025-08-14T21:36:59.6664797Z remote: Compressing objects: 40% (31/76) 2025-08-14T21:36:59.6664989Z remote: Compressing objects: 42% (32/76) 2025-08-14T21:36:59.6665439Z remote: Compressing objects: 43% (33/76) 2025-08-14T21:36:59.6665658Z remote: Compressing objects: 44% (34/76) 2025-08-14T21:36:59.6665848Z remote: Compressing objects: 46% (35/76) 2025-08-14T21:36:59.6666048Z remote: Compressing objects: 47% (36/76) 2025-08-14T21:36:59.6669567Z remote: Compressing objects: 48% (37/76) 2025-08-14T21:36:59.6669743Z remote: Compressing objects: 50% (38/76) 2025-08-14T21:36:59.6669908Z remote: Compressing objects: 51% (39/76) 2025-08-14T21:36:59.6670075Z remote: Compressing objects: 52% (40/76) 2025-08-14T21:36:59.6670239Z remote: Compressing objects: 53% (41/76) 2025-08-14T21:36:59.6670410Z remote: Compressing objects: 55% (42/76) 2025-08-14T21:36:59.6670573Z remote: Compressing objects: 56% (43/76) 2025-08-14T21:36:59.6670741Z remote: Compressing objects: 57% (44/76) 2025-08-14T21:36:59.6670905Z remote: Compressing objects: 59% (45/76) 2025-08-14T21:36:59.6671075Z remote: Compressing objects: 60% (46/76) 2025-08-14T21:36:59.6671239Z remote: Compressing objects: 61% (47/76) 2025-08-14T21:36:59.6672936Z remote: Compressing objects: 63% (48/76) 2025-08-14T21:36:59.6673104Z remote: Compressing objects: 64% (49/76) 2025-08-14T21:36:59.6673268Z remote: Compressing objects: 65% (50/76) 2025-08-14T21:36:59.6673432Z remote: Compressing objects: 67% (51/76) 2025-08-14T21:36:59.6673600Z remote: Compressing objects: 68% (52/76) 2025-08-14T21:36:59.6673763Z remote: Compressing objects: 69% (53/76) 2025-08-14T21:36:59.6673926Z remote: Compressing objects: 71% (54/76) 2025-08-14T21:36:59.6674218Z remote: Compressing objects: 72% (55/76) 2025-08-14T21:36:59.6674383Z remote: Compressing objects: 73% (56/76) 2025-08-14T21:36:59.6674547Z remote: Compressing objects: 75% (57/76) 2025-08-14T21:36:59.6674710Z remote: Compressing objects: 76% (58/76) 2025-08-14T21:36:59.6676249Z remote: Compressing objects: 77% (59/76) 2025-08-14T21:36:59.6676417Z remote: Compressing objects: 78% (60/76) 2025-08-14T21:36:59.6676661Z remote: Compressing objects: 80% (61/76) 2025-08-14T21:36:59.6676826Z remote: Compressing objects: 81% (62/76) 2025-08-14T21:36:59.6676992Z remote: Compressing objects: 82% (63/76) 2025-08-14T21:36:59.6677158Z remote: Compressing objects: 84% (64/76) 2025-08-14T21:36:59.6677322Z remote: Compressing objects: 85% (65/76) 2025-08-14T21:36:59.6677483Z remote: Compressing objects: 86% (66/76) 2025-08-14T21:36:59.6677639Z remote: Compressing objects: 88% (67/76) 2025-08-14T21:36:59.6677782Z remote: Compressing objects: 89% (68/76) 2025-08-14T21:36:59.6677915Z remote: Compressing objects: 90% (69/76) 2025-08-14T21:36:59.6679092Z remote: Compressing objects: 92% (70/76) 2025-08-14T21:36:59.6679223Z remote: Compressing objects: 93% (71/76) 2025-08-14T21:36:59.6679360Z remote: Compressing objects: 94% (72/76) 2025-08-14T21:36:59.6719186Z remote: Compressing objects: 96% (73/76) 2025-08-14T21:36:59.6719654Z remote: Compressing objects: 97% (74/76) 2025-08-14T21:36:59.6719999Z remote: Compressing objects: 98% (75/76) 2025-08-14T21:36:59.6720233Z remote: Compressing objects: 100% (76/76) 2025-08-14T21:36:59.6720480Z remote: Compressing objects: 100% (76/76), done. 2025-08-14T21:36:59.7598321Z Receiving objects: 0% (1/63020) 2025-08-14T21:36:59.7736646Z Receiving objects: 1% (631/63020) 2025-08-14T21:36:59.7884163Z Receiving objects: 2% (1261/63020) 2025-08-14T21:36:59.7943615Z Receiving objects: 3% (1891/63020) 2025-08-14T21:36:59.8056376Z Receiving objects: 4% (2521/63020) 2025-08-14T21:36:59.8094581Z Receiving objects: 5% (3151/63020) 2025-08-14T21:36:59.8116960Z Receiving objects: 6% (3782/63020) 2025-08-14T21:36:59.8354513Z Receiving objects: 7% (4412/63020) 2025-08-14T21:36:59.8608206Z Receiving objects: 8% (5042/63020) 2025-08-14T21:36:59.8869930Z Receiving objects: 9% (5672/63020) 2025-08-14T21:36:59.9186187Z Receiving objects: 10% (6302/63020) 2025-08-14T21:36:59.9559839Z Receiving objects: 11% (6933/63020) 2025-08-14T21:36:59.9795778Z Receiving objects: 12% (7563/63020) 2025-08-14T21:37:00.0109101Z Receiving objects: 13% (8193/63020) 2025-08-14T21:37:00.0233534Z Receiving objects: 14% (8823/63020) 2025-08-14T21:37:00.0249124Z Receiving objects: 15% (9453/63020) 2025-08-14T21:37:00.0319036Z Receiving objects: 16% (10084/63020) 2025-08-14T21:37:00.0389284Z Receiving objects: 17% (10714/63020) 2025-08-14T21:37:00.0597186Z Receiving objects: 18% (11344/63020) 2025-08-14T21:37:00.0635433Z Receiving objects: 19% (11974/63020) 2025-08-14T21:37:00.0857095Z Receiving objects: 20% (12604/63020) 2025-08-14T21:37:00.1156248Z Receiving objects: 21% (13235/63020) 2025-08-14T21:37:00.1283717Z Receiving objects: 22% (13865/63020) 2025-08-14T21:37:00.1648352Z Receiving objects: 23% (14495/63020) 2025-08-14T21:37:00.1951093Z Receiving objects: 24% (15125/63020) 2025-08-14T21:37:00.2012900Z Receiving objects: 25% (15755/63020), 47.94 MiB | 95.87 MiB/s 2025-08-14T21:37:00.2074698Z Receiving objects: 26% (16386/63020), 47.94 MiB | 95.87 MiB/s 2025-08-14T21:37:00.2152900Z Receiving objects: 27% (17016/63020), 47.94 MiB | 95.87 MiB/s 2025-08-14T21:37:00.2218878Z Receiving objects: 28% (17646/63020), 47.94 MiB | 95.87 MiB/s 2025-08-14T21:37:00.2294444Z Receiving objects: 29% (18276/63020), 47.94 MiB | 95.87 MiB/s 2025-08-14T21:37:00.2357322Z Receiving objects: 30% (18906/63020), 47.94 MiB | 95.87 MiB/s 2025-08-14T21:37:00.2425229Z Receiving objects: 31% (19537/63020), 47.94 MiB | 95.87 MiB/s 2025-08-14T21:37:00.2485931Z Receiving objects: 32% (20167/63020), 47.94 MiB | 95.87 MiB/s 2025-08-14T21:37:00.2536701Z Receiving objects: 33% (20797/63020), 47.94 MiB | 95.87 MiB/s 2025-08-14T21:37:00.2611773Z Receiving objects: 34% (21427/63020), 47.94 MiB | 95.87 MiB/s 2025-08-14T21:37:00.2674135Z Receiving objects: 35% (22057/63020), 47.94 MiB | 95.87 MiB/s 2025-08-14T21:37:00.2733216Z Receiving objects: 36% (22688/63020), 47.94 MiB | 95.87 MiB/s 2025-08-14T21:37:00.2801406Z Receiving objects: 37% (23318/63020), 47.94 MiB | 95.87 MiB/s 2025-08-14T21:37:00.2879857Z Receiving objects: 38% (23948/63020), 47.94 MiB | 95.87 MiB/s 2025-08-14T21:37:00.2942782Z Receiving objects: 39% (24578/63020), 47.94 MiB | 95.87 MiB/s 2025-08-14T21:37:00.3006108Z Receiving objects: 40% (25208/63020), 47.94 MiB | 95.87 MiB/s 2025-08-14T21:37:00.3114542Z Receiving objects: 41% (25839/63020), 47.94 MiB | 95.87 MiB/s 2025-08-14T21:37:00.3185581Z Receiving objects: 42% (26469/63020), 47.94 MiB | 95.87 MiB/s 2025-08-14T21:37:00.3253385Z Receiving objects: 43% (27099/63020), 47.94 MiB | 95.87 MiB/s 2025-08-14T21:37:00.3321829Z Receiving objects: 44% (27729/63020), 47.94 MiB | 95.87 MiB/s 2025-08-14T21:37:00.3390954Z Receiving objects: 45% (28359/63020), 47.94 MiB | 95.87 MiB/s 2025-08-14T21:37:00.3453456Z Receiving objects: 46% (28990/63020), 47.94 MiB | 95.87 MiB/s 2025-08-14T21:37:00.3522479Z Receiving objects: 47% (29620/63020), 47.94 MiB | 95.87 MiB/s 2025-08-14T21:37:00.3579184Z Receiving objects: 48% (30250/63020), 47.94 MiB | 95.87 MiB/s 2025-08-14T21:37:00.3645540Z Receiving objects: 49% (30880/63020), 47.94 MiB | 95.87 MiB/s 2025-08-14T21:37:00.3717869Z Receiving objects: 50% (31510/63020), 47.94 MiB | 95.87 MiB/s 2025-08-14T21:37:00.3782079Z Receiving objects: 51% (32141/63020), 47.94 MiB | 95.87 MiB/s 2025-08-14T21:37:00.3891222Z Receiving objects: 52% (32771/63020), 47.94 MiB | 95.87 MiB/s 2025-08-14T21:37:00.3970028Z Receiving objects: 53% (33401/63020), 47.94 MiB | 95.87 MiB/s 2025-08-14T21:37:00.6489883Z Receiving objects: 54% (34031/63020), 47.94 MiB | 95.87 MiB/s 2025-08-14T21:37:00.6783700Z Receiving objects: 55% (34661/63020), 47.94 MiB | 95.87 MiB/s 2025-08-14T21:37:00.8381416Z Receiving objects: 55% (34774/63020), 84.92 MiB | 84.91 MiB/s 2025-08-14T21:37:01.5892146Z Receiving objects: 56% (35292/63020), 84.92 MiB | 84.91 MiB/s 2025-08-14T21:37:01.6088250Z Receiving objects: 57% (35922/63020), 129.95 MiB | 86.69 MiB/s 2025-08-14T21:37:01.6189795Z Receiving objects: 58% (36552/63020), 129.95 MiB | 86.69 MiB/s 2025-08-14T21:37:01.6462906Z Receiving objects: 59% (37182/63020), 129.95 MiB | 86.69 MiB/s 2025-08-14T21:37:01.6783710Z Receiving objects: 60% (37812/63020), 129.95 MiB | 86.69 MiB/s 2025-08-14T21:37:01.7119521Z Receiving objects: 60% (38193/63020), 187.58 MiB | 93.83 MiB/s 2025-08-14T21:37:01.7232651Z Receiving objects: 61% (38443/63020), 187.58 MiB | 93.83 MiB/s 2025-08-14T21:37:01.7272764Z Receiving objects: 62% (39073/63020), 187.58 MiB | 93.83 MiB/s 2025-08-14T21:37:01.7319199Z Receiving objects: 63% (39703/63020), 187.58 MiB | 93.83 MiB/s 2025-08-14T21:37:01.7396845Z Receiving objects: 64% (40333/63020), 187.58 MiB | 93.83 MiB/s 2025-08-14T21:37:01.7571306Z Receiving objects: 65% (40963/63020), 187.58 MiB | 93.83 MiB/s 2025-08-14T21:37:01.7616822Z Receiving objects: 66% (41594/63020), 187.58 MiB | 93.83 MiB/s 2025-08-14T21:37:01.7706728Z Receiving objects: 67% (42224/63020), 187.58 MiB | 93.83 MiB/s 2025-08-14T21:37:01.7746619Z Receiving objects: 68% (42854/63020), 187.58 MiB | 93.83 MiB/s 2025-08-14T21:37:01.7763034Z Receiving objects: 69% (43484/63020), 187.58 MiB | 93.83 MiB/s 2025-08-14T21:37:01.7770968Z Receiving objects: 70% (44114/63020), 187.58 MiB | 93.83 MiB/s 2025-08-14T21:37:01.7795517Z Receiving objects: 71% (44745/63020), 187.58 MiB | 93.83 MiB/s 2025-08-14T21:37:01.7860345Z Receiving objects: 72% (45375/63020), 187.58 MiB | 93.83 MiB/s 2025-08-14T21:37:01.7930268Z Receiving objects: 73% (46005/63020), 187.58 MiB | 93.83 MiB/s 2025-08-14T21:37:01.7939900Z Receiving objects: 74% (46635/63020), 187.58 MiB | 93.83 MiB/s 2025-08-14T21:37:01.8094805Z Receiving objects: 75% (47265/63020), 187.58 MiB | 93.83 MiB/s 2025-08-14T21:37:01.8101625Z Receiving objects: 76% (47896/63020), 187.58 MiB | 93.83 MiB/s 2025-08-14T21:37:01.8189695Z Receiving objects: 77% (48526/63020), 187.58 MiB | 93.83 MiB/s 2025-08-14T21:37:01.8252924Z Receiving objects: 78% (49156/63020), 187.58 MiB | 93.83 MiB/s 2025-08-14T21:37:01.8618003Z Receiving objects: 79% (49786/63020), 187.58 MiB | 93.83 MiB/s 2025-08-14T21:37:01.8636130Z Receiving objects: 80% (50416/63020), 187.58 MiB | 93.83 MiB/s 2025-08-14T21:37:01.8670197Z Receiving objects: 81% (51047/63020), 187.58 MiB | 93.83 MiB/s 2025-08-14T21:37:01.8676977Z Receiving objects: 82% (51677/63020), 187.58 MiB | 93.83 MiB/s 2025-08-14T21:37:01.8739004Z Receiving objects: 83% (52307/63020), 187.58 MiB | 93.83 MiB/s 2025-08-14T21:37:01.8768845Z Receiving objects: 84% (52937/63020), 187.58 MiB | 93.83 MiB/s 2025-08-14T21:37:01.8796397Z Receiving objects: 85% (53567/63020), 187.58 MiB | 93.83 MiB/s 2025-08-14T21:37:01.8820494Z Receiving objects: 86% (54198/63020), 187.58 MiB | 93.83 MiB/s 2025-08-14T21:37:01.8833134Z Receiving objects: 87% (54828/63020), 187.58 MiB | 93.83 MiB/s 2025-08-14T21:37:01.8833379Z Receiving objects: 88% (55458/63020), 187.58 MiB | 93.83 MiB/s 2025-08-14T21:37:01.8840344Z Receiving objects: 89% (56088/63020), 187.58 MiB | 93.83 MiB/s 2025-08-14T21:37:01.8841145Z Receiving objects: 90% (56718/63020), 187.58 MiB | 93.83 MiB/s 2025-08-14T21:37:01.8845103Z Receiving objects: 91% (57349/63020), 187.58 MiB | 93.83 MiB/s 2025-08-14T21:37:01.8859821Z Receiving objects: 92% (57979/63020), 187.58 MiB | 93.83 MiB/s 2025-08-14T21:37:01.8920483Z Receiving objects: 93% (58609/63020), 187.58 MiB | 93.83 MiB/s 2025-08-14T21:37:01.9027996Z Receiving objects: 94% (59239/63020), 187.58 MiB | 93.83 MiB/s 2025-08-14T21:37:01.9138981Z Receiving objects: 95% (59869/63020), 187.58 MiB | 93.83 MiB/s 2025-08-14T21:37:01.9213938Z Receiving objects: 96% (60500/63020), 187.58 MiB | 93.83 MiB/s 2025-08-14T21:37:01.9376637Z Receiving objects: 97% (61130/63020), 187.58 MiB | 93.83 MiB/s 2025-08-14T21:37:01.9612547Z Receiving objects: 98% (61760/63020), 187.58 MiB | 93.83 MiB/s 2025-08-14T21:37:01.9703551Z Receiving objects: 99% (62390/63020), 187.58 MiB | 93.83 MiB/s 2025-08-14T21:37:01.9704060Z remote: Total 63020 (delta 64), reused 16 (delta 16), pack-reused 62928 (from 2) 2025-08-14T21:37:01.9715900Z Receiving objects: 100% (63020/63020), 187.58 MiB | 93.83 MiB/s 2025-08-14T21:37:01.9716585Z Receiving objects: 100% (63020/63020), 220.53 MiB | 96.13 MiB/s, done. 2025-08-14T21:37:01.9776603Z Resolving deltas: 0% (0/36557) 2025-08-14T21:37:01.9797667Z Resolving deltas: 1% (366/36557) 2025-08-14T21:37:01.9807402Z Resolving deltas: 2% (732/36557) 2025-08-14T21:37:01.9822758Z Resolving deltas: 3% (1098/36557) 2025-08-14T21:37:01.9838052Z Resolving deltas: 4% (1464/36557) 2025-08-14T21:37:01.9860900Z Resolving deltas: 5% (1828/36557) 2025-08-14T21:37:01.9869422Z Resolving deltas: 6% (2194/36557) 2025-08-14T21:37:01.9885126Z Resolving deltas: 7% (2559/36557) 2025-08-14T21:37:01.9935150Z Resolving deltas: 8% (2925/36557) 2025-08-14T21:37:02.0114512Z Resolving deltas: 9% (3291/36557) 2025-08-14T21:37:02.0300214Z Resolving deltas: 10% (3656/36557) 2025-08-14T21:37:02.0401222Z Resolving deltas: 11% (4022/36557) 2025-08-14T21:37:02.0422397Z Resolving deltas: 12% (4387/36557) 2025-08-14T21:37:02.0439621Z Resolving deltas: 13% (4754/36557) 2025-08-14T21:37:02.0462915Z Resolving deltas: 14% (5118/36557) 2025-08-14T21:37:02.0477462Z Resolving deltas: 15% (5486/36557) 2025-08-14T21:37:02.0495935Z Resolving deltas: 16% (5850/36557) 2025-08-14T21:37:02.0517678Z Resolving deltas: 17% (6215/36557) 2025-08-14T21:37:02.0543746Z Resolving deltas: 18% (6581/36557) 2025-08-14T21:37:02.0552340Z Resolving deltas: 19% (6947/36557) 2025-08-14T21:37:02.0564747Z Resolving deltas: 20% (7312/36557) 2025-08-14T21:37:02.0575600Z Resolving deltas: 21% (7677/36557) 2025-08-14T21:37:02.0588093Z Resolving deltas: 22% (8043/36557) 2025-08-14T21:37:02.0601639Z Resolving deltas: 23% (8409/36557) 2025-08-14T21:37:02.0615371Z Resolving deltas: 24% (8775/36557) 2025-08-14T21:37:02.0640631Z Resolving deltas: 25% (9141/36557) 2025-08-14T21:37:02.0654266Z Resolving deltas: 26% (9505/36557) 2025-08-14T21:37:02.0676342Z Resolving deltas: 27% (9871/36557) 2025-08-14T21:37:02.0690777Z Resolving deltas: 28% (10236/36557) 2025-08-14T21:37:02.0709589Z Resolving deltas: 29% (10602/36557) 2025-08-14T21:37:02.0729087Z Resolving deltas: 30% (10968/36557) 2025-08-14T21:37:02.0748621Z Resolving deltas: 31% (11333/36557) 2025-08-14T21:37:02.0765364Z Resolving deltas: 32% (11699/36557) 2025-08-14T21:37:02.0785041Z Resolving deltas: 33% (12064/36557) 2025-08-14T21:37:02.0805873Z Resolving deltas: 34% (12430/36557) 2025-08-14T21:37:02.0834209Z Resolving deltas: 35% (12795/36557) 2025-08-14T21:37:02.0872699Z Resolving deltas: 36% (13161/36557) 2025-08-14T21:37:02.0914735Z Resolving deltas: 37% (13527/36557) 2025-08-14T21:37:02.0951640Z Resolving deltas: 38% (13892/36557) 2025-08-14T21:37:02.0985136Z Resolving deltas: 39% (14258/36557) 2025-08-14T21:37:02.1013527Z Resolving deltas: 40% (14623/36557) 2025-08-14T21:37:02.1037131Z Resolving deltas: 41% (14989/36557) 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2025-08-14T21:37:02.3883074Z Submodule path 'external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-08-14T21:37:02.5302098Z Submodule path 'external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-08-14T21:37:02.5960600Z Submodule path 'external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-08-14T21:37:02.9261585Z Submodule path 'external/cutlass': checked out 'b40777404c174b9694a870bff5c13ce6b7f656ad' 2025-08-14T21:37:02.9640951Z Submodule path 'external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-08-14T21:37:02.9809584Z Submodule path 'external/hipify_torch': checked out 'a4337c69fe0e2552a7b7b0669178926beeed828c' 2025-08-14T21:37:03.0487898Z Submodule path 'external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-08-14T21:37:03.0574845Z + pushd fbgemm/fbgemm_gpu 2025-08-14T21:37:03.0575354Z ~/pytorch/fbgemm/fbgemm_gpu ~/pytorch 2025-08-14T21:37:03.0575791Z + git checkout 7f1de94a4c2d14f59ad4ca84538c36084ea6b2c8 --recurse-submodules 2025-08-14T21:37:03.5968665Z Note: switching to '7f1de94a4c2d14f59ad4ca84538c36084ea6b2c8'. 2025-08-14T21:37:03.5969541Z 2025-08-14T21:37:03.5969792Z You are in 'detached HEAD' state. You can look around, make experimental 2025-08-14T21:37:03.5980817Z changes and commit them, and you can discard any commits you make in this 2025-08-14T21:37:03.5981067Z state without impacting any branches by switching back to a branch. 2025-08-14T21:37:03.5981210Z 2025-08-14T21:37:03.5981309Z If you want to create a new branch to retain commits you create, you may 2025-08-14T21:37:03.5981539Z do so (now or later) by using -c with the switch command. Example: 2025-08-14T21:37:03.5981670Z 2025-08-14T21:37:03.5981729Z git switch -c 2025-08-14T21:37:03.5981834Z 2025-08-14T21:37:03.5981887Z Or undo this operation with: 2025-08-14T21:37:03.5981975Z 2025-08-14T21:37:03.5982016Z git switch - 2025-08-14T21:37:03.5982084Z 2025-08-14T21:37:03.5982194Z Turn off this advice by setting config variable advice.detachedHead to false 2025-08-14T21:37:03.5982347Z 2025-08-14T21:37:03.5982423Z HEAD is now at 7f1de94a More code clean-up (#4514) 2025-08-14T21:37:03.5982780Z + 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 2025-08-14T21:37:04.3185597Z [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'] 2025-08-14T21:37:04.3187303Z [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) 2025-08-14T21:37:04.3189261Z [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'] 2025-08-14T21:37:04.3633646Z [SETUP.PY] Generating version file at: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/fbgemm_gpu/docs/version.py 2025-08-14T21:37:04.3642644Z [SETUP.PY] Setting the FBGEMM build target: default ... 2025-08-14T21:37:04.3643095Z [SETUP.PY] Setting the FBGEMM build variant: rocm ... 2025-08-14T21:37:04.3644458Z [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'] 2025-08-14T21:37:04.3771956Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/dist.py:759: SetuptoolsDeprecationWarning: License classifiers are deprecated. 2025-08-14T21:37:04.3779404Z !! 2025-08-14T21:37:04.3779510Z 2025-08-14T21:37:04.3779621Z ******************************************************************************** 2025-08-14T21:37:04.3780014Z Please consider removing the following classifiers in favor of a SPDX license expression: 2025-08-14T21:37:04.3780294Z 2025-08-14T21:37:04.3780437Z License :: OSI Approved :: BSD License 2025-08-14T21:37:04.3780588Z 2025-08-14T21:37:04.3780868Z See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details. 2025-08-14T21:37:04.3781261Z ******************************************************************************** 2025-08-14T21:37:04.3781420Z 2025-08-14T21:37:04.3781479Z !! 2025-08-14T21:37:04.3781654Z self._finalize_license_expression() 2025-08-14T21:37:04.3805484Z 2025-08-14T21:37:04.3805574Z 2025-08-14T21:37:04.3805690Z -------------------------------------------------------------------------------- 2025-08-14T21:37:04.3805889Z -- Trying 'Ninja' generator 2025-08-14T21:37:04.3813722Z -------------------------------- 2025-08-14T21:37:04.3814054Z --------------------------- 2025-08-14T21:37:04.3814214Z ---------------------- 2025-08-14T21:37:04.3814352Z ----------------- 2025-08-14T21:37:04.3815019Z ------------ 2025-08-14T21:37:04.3815140Z ------- 2025-08-14T21:37:04.3815254Z -- 2025-08-14T21:37:04.3824114Z Not searching for unused variables given on the command line. 2025-08-14T21:37:04.4271097Z CMake Deprecation Warning at CMakeLists.txt:1 (cmake_minimum_required): 2025-08-14T21:37:04.4271762Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-08-14T21:37:04.4272205Z CMake. 2025-08-14T21:37:04.4279910Z 2025-08-14T21:37:04.4280066Z Update the VERSION argument value. Or, use the ... syntax 2025-08-14T21:37:04.4280374Z to tell CMake that the project requires at least but has been updated 2025-08-14T21:37:04.4280660Z to work with policies introduced by or earlier. 2025-08-14T21:37:04.4280802Z 2025-08-14T21:37:04.4280878Z  2025-08-14T21:37:04.4860104Z -- The C compiler identification is GNU 11.4.0 2025-08-14T21:37:04.5117184Z -- Detecting C compiler ABI info 2025-08-14T21:37:04.6833642Z -- Detecting C compiler ABI info - done 2025-08-14T21:37:04.6907521Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2025-08-14T21:37:04.6908995Z -- Detecting C compile features 2025-08-14T21:37:04.6910881Z -- Detecting C compile features - done 2025-08-14T21:37:04.7657913Z -- The CXX compiler identification is GNU 11.4.0 2025-08-14T21:37:04.7862648Z -- Detecting CXX compiler ABI info 2025-08-14T21:37:04.9647853Z -- Detecting CXX compiler ABI info - done 2025-08-14T21:37:04.9731355Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2025-08-14T21:37:04.9733365Z -- Detecting CXX compile features 2025-08-14T21:37:04.9738257Z -- Detecting CXX compile features - done 2025-08-14T21:37:04.9793964Z -- Configuring done (0.6s) 2025-08-14T21:37:04.9826053Z -- Generating done (0.0s) 2025-08-14T21:37:04.9827970Z -- Build files have been written to: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_cmake_test_compile/build 2025-08-14T21:37:04.9862678Z -- 2025-08-14T21:37:04.9863536Z ------- 2025-08-14T21:37:04.9863712Z ------------ 2025-08-14T21:37:04.9863880Z ----------------- 2025-08-14T21:37:04.9863993Z ---------------------- 2025-08-14T21:37:04.9864116Z --------------------------- 2025-08-14T21:37:04.9864251Z -------------------------------- 2025-08-14T21:37:04.9864397Z -- Trying 'Ninja' generator - success 2025-08-14T21:37:04.9864567Z -------------------------------------------------------------------------------- 2025-08-14T21:37:04.9864703Z 2025-08-14T21:37:04.9876364Z Configuring Project 2025-08-14T21:37:04.9878891Z Working directory: 2025-08-14T21:37:04.9879109Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build 2025-08-14T21:37:04.9879311Z Command: 2025-08-14T21:37:04.9882455Z /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 2025-08-14T21:37:04.9885378Z 2025-08-14T21:37:04.9903477Z Not searching for unused variables given on the command line. 2025-08-14T21:37:05.0375776Z  2025-08-14T21:37:05.0375942Z  2025-08-14T21:37:05.0376176Z ================================================================================ 2025-08-14T21:37:05.0376530Z Default C compiler flags 2025-08-14T21:37:05.0380441Z (values may be overridden by CMAKE_CXX_STANDARD and CXX_STANDARD): 2025-08-14T21:37:05.0380742Z  2025-08-14T21:37:05.0380930Z -DTORCH_USE_HIP_DSA 2025-08-14T21:37:05.0381167Z ================================================================================ 2025-08-14T21:37:05.0381381Z  2025-08-14T21:37:05.0381516Z  2025-08-14T21:37:05.0381646Z  2025-08-14T21:37:05.0381831Z ================================================================================ 2025-08-14T21:37:05.0382069Z Default C++ compiler flags 2025-08-14T21:37:05.0382552Z (values may be overridden by CMAKE_CXX_STANDARD and CXX_STANDARD): 2025-08-14T21:37:05.0382799Z  2025-08-14T21:37:05.0382951Z -DTORCH_USE_HIP_DSA 2025-08-14T21:37:05.0383203Z ================================================================================ 2025-08-14T21:37:05.0383415Z  2025-08-14T21:37:05.0385762Z  2025-08-14T21:37:05.0385906Z  2025-08-14T21:37:05.0386098Z ================================================================================ 2025-08-14T21:37:05.0386316Z AVX2_FLAGS: 2025-08-14T21:37:05.0386660Z  2025-08-14T21:37:05.0386802Z -mavx2 2025-08-14T21:37:05.0386952Z -mf16c 2025-08-14T21:37:05.0387096Z -mfma 2025-08-14T21:37:05.0387213Z -fopenmp 2025-08-14T21:37:05.0387380Z ================================================================================ 2025-08-14T21:37:05.0387540Z  2025-08-14T21:37:05.0387646Z  2025-08-14T21:37:05.0389273Z  2025-08-14T21:37:05.0389430Z ================================================================================ 2025-08-14T21:37:05.0389602Z AVX512_FLAGS: 2025-08-14T21:37:05.0389722Z  2025-08-14T21:37:05.0389831Z -mavx2 2025-08-14T21:37:05.0389952Z -mf16c 2025-08-14T21:37:05.0390064Z -mfma 2025-08-14T21:37:05.0390178Z -mavx512f 2025-08-14T21:37:05.0390307Z -mavx512bw 2025-08-14T21:37:05.0390429Z -mavx512dq 2025-08-14T21:37:05.0390546Z -mavx512vl 2025-08-14T21:37:05.0391989Z -fopenmp 2025-08-14T21:37:05.0392160Z ================================================================================ 2025-08-14T21:37:05.0392316Z  2025-08-14T21:37:05.0392420Z  2025-08-14T21:37:05.0392522Z  2025-08-14T21:37:05.0392673Z ================================================================================ 2025-08-14T21:37:05.0392874Z The project is built using scikit-build 2025-08-14T21:37:05.0393084Z ================================================================================ 2025-08-14T21:37:05.0393239Z  2025-08-14T21:37:05.0393343Z  2025-08-14T21:37:05.0393445Z  2025-08-14T21:37:05.0394851Z ================================================================================ 2025-08-14T21:37:05.0395027Z Build Settings 2025-08-14T21:37:05.0395237Z  2025-08-14T21:37:05.0395360Z FBGEMM_BUILD_TARGET : default 2025-08-14T21:37:05.0395540Z FBGEMM_BUILD_VARIANT : rocm 2025-08-14T21:37:05.0395680Z  2025-08-14T21:37:05.0395803Z NVCC_VERBOSE :  2025-08-14T21:37:05.0395960Z CUDNN_INCLUDE_DIR :  2025-08-14T21:37:05.0396112Z CUDNN_LIBRARY :  2025-08-14T21:37:05.0396299Z NVML_LIB_PATH :  2025-08-14T21:37:05.0396420Z TORCH_CUDA_ARCH_LIST :  2025-08-14T21:37:05.0397723Z  2025-08-14T21:37:05.0397830Z HIP_ROOT_DIR : /opt/rocm 2025-08-14T21:37:05.0397968Z HIPCC_VERBOSE :  2025-08-14T21:37:05.0398090Z AMDGPU_TARGETS :  2025-08-14T21:37:05.0398212Z PYTORCH_ROCM_ARCH :  2025-08-14T21:37:05.0398357Z ================================================================================ 2025-08-14T21:37:05.0398484Z  2025-08-14T21:37:05.1065799Z -- The CXX compiler identification is GNU 11.4.0 2025-08-14T21:37:05.1608200Z -- The C compiler identification is GNU 11.4.0 2025-08-14T21:37:05.1811406Z -- Detecting CXX compiler ABI info 2025-08-14T21:37:05.3499653Z -- Detecting CXX compiler ABI info - done 2025-08-14T21:37:05.3576901Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2025-08-14T21:37:05.3578807Z -- Detecting CXX compile features 2025-08-14T21:37:05.3581937Z -- Detecting CXX compile features - done 2025-08-14T21:37:05.3655726Z -- Detecting C compiler ABI info 2025-08-14T21:37:05.5342834Z -- Detecting C compiler ABI info - done 2025-08-14T21:37:05.5418773Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2025-08-14T21:37:05.5419193Z -- Detecting C compile features 2025-08-14T21:37:05.5425892Z -- Detecting C compile features - done 2025-08-14T21:37:05.5484288Z -- Performing Test C_HAS_AVX_1 2025-08-14T21:37:05.7590643Z -- Performing Test C_HAS_AVX_1 - Failed 2025-08-14T21:37:05.7590902Z -- Performing Test C_HAS_AVX_2 2025-08-14T21:37:06.0074781Z -- Performing Test C_HAS_AVX_2 - Success 2025-08-14T21:37:06.0075037Z -- Performing Test C_HAS_AVX2_1 2025-08-14T21:37:06.2314894Z -- Performing Test C_HAS_AVX2_1 - Failed 2025-08-14T21:37:06.2315187Z -- Performing Test C_HAS_AVX2_2 2025-08-14T21:37:06.4760631Z -- Performing Test C_HAS_AVX2_2 - Success 2025-08-14T21:37:06.4760883Z -- Performing Test C_HAS_AVX512_1 2025-08-14T21:37:06.6844679Z -- Performing Test C_HAS_AVX512_1 - Failed 2025-08-14T21:37:06.6844929Z -- Performing Test C_HAS_AVX512_2 2025-08-14T21:37:06.9156663Z -- Performing Test C_HAS_AVX512_2 - Success 2025-08-14T21:37:06.9156904Z -- Performing Test CXX_HAS_AVX_1 2025-08-14T21:37:07.1418955Z -- Performing Test CXX_HAS_AVX_1 - Failed 2025-08-14T21:37:07.1420330Z -- Performing Test CXX_HAS_AVX_2 2025-08-14T21:37:07.4141620Z -- Performing Test CXX_HAS_AVX_2 - Success 2025-08-14T21:37:07.4142359Z -- Performing Test CXX_HAS_AVX2_1 2025-08-14T21:37:07.6535929Z -- Performing Test CXX_HAS_AVX2_1 - Failed 2025-08-14T21:37:07.6536403Z -- Performing Test CXX_HAS_AVX2_2 2025-08-14T21:37:07.9239049Z -- Performing Test CXX_HAS_AVX2_2 - Success 2025-08-14T21:37:07.9240448Z -- Performing Test CXX_HAS_AVX512_1 2025-08-14T21:37:08.1547638Z -- Performing Test CXX_HAS_AVX512_1 - Failed 2025-08-14T21:37:08.1548126Z -- Performing Test CXX_HAS_AVX512_2 2025-08-14T21:37:08.4007028Z -- Performing Test CXX_HAS_AVX512_2 - Success 2025-08-14T21:37:08.4039739Z Building PyTorch for GPU arch: gfx90a;gfx942 2025-08-14T21:37:08.5023346Z -- Found HIP: /opt/rocm (found suitable version "6.4.43484-123eb5128", minimum required is "1.0") 2025-08-14T21:37:08.5024018Z HIP VERSION: 6.4.43484-123eb5128 2025-08-14T21:37:08.5702531Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2025-08-14T21:37:08.7431443Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2025-08-14T21:37:08.7436863Z -- Found Threads: TRUE 2025-08-14T21:37:08.7685302Z hip VERSION: 6.4.43484 2025-08-14T21:37:08.7706300Z -- Reading ROCM version from: /opt/rocm/include/rocm-core/rocm_version.h 2025-08-14T21:37:08.7707949Z -- Content: 2025-08-14T21:37:08.7708455Z  2025-08-14T21:37:08.7714576Z ***** ROCm version from rocm_version.h **** 2025-08-14T21:37:08.7714771Z  2025-08-14T21:37:08.7714890Z ROCM_VERSION_DEV: 6.4.2 2025-08-14T21:37:08.7715032Z ROCM_VERSION_DEV_MAJOR: 6 2025-08-14T21:37:08.7715172Z ROCM_VERSION_DEV_MINOR: 4 2025-08-14T21:37:08.7715310Z ROCM_VERSION_DEV_PATCH: 2 2025-08-14T21:37:08.7715448Z ROCM_VERSION_DEV_INT: 60402 2025-08-14T21:37:08.7715591Z HIP_VERSION_MAJOR: 6 2025-08-14T21:37:08.7715716Z HIP_VERSION_MINOR: 4 2025-08-14T21:37:08.7715859Z TORCH_HIP_VERSION: 604 2025-08-14T21:37:08.7715974Z  2025-08-14T21:37:08.7717976Z ***** Library versions from cmake find_package ***** 2025-08-14T21:37:08.7718117Z  2025-08-14T21:37:08.7718221Z amd_comgr VERSION: 3.0.0 2025-08-14T21:37:08.7990839Z rocrand VERSION: 3.3.0 2025-08-14T21:37:08.8012857Z hiprand VERSION: 2.12.0 2025-08-14T21:37:08.8029773Z rocblas VERSION: 4.4.1 2025-08-14T21:37:08.8063500Z hipblas VERSION: 2.4.0 2025-08-14T21:37:08.8082441Z miopen VERSION: 3.4.0 2025-08-14T21:37:08.8098713Z hipfft VERSION: 1.0.18 2025-08-14T21:37:08.8115402Z hipsparse VERSION: 3.2.0 2025-08-14T21:37:08.8134329Z rocprim VERSION: 3.4.1 2025-08-14T21:37:08.8152282Z hipcub VERSION: 3.4.0 2025-08-14T21:37:08.8168578Z rocthrust VERSION: 3.3.0 2025-08-14T21:37:08.8184702Z hipsolver VERSION: 2.4.0 2025-08-14T21:37:08.8206177Z rocsolver VERSION: 3.28.2 2025-08-14T21:37:08.8208097Z CMake Warning at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/public/LoadHIP.cmake:175 (message): 2025-08-14T21:37:08.8208824Z Work around hiprtc cmake failure for cmake >= 4 2025-08-14T21:37:08.8208992Z Call Stack (most recent call first): 2025-08-14T21:37:08.8209237Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/Caffe2Config.cmake:74 (include) 2025-08-14T21:37:08.8209598Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:68 (find_package) 2025-08-14T21:37:08.8209910Z /var/lib/jenkins/pytorch/fbgemm/cmake/modules/PyTorchSetup.cmake:11 (find_package) 2025-08-14T21:37:08.8215369Z CMakeLists.txt:113 (include) 2025-08-14T21:37:08.8215448Z 2025-08-14T21:37:08.8215505Z  2025-08-14T21:37:08.8220063Z CMake Deprecation Warning at /opt/rocm/lib/cmake/hiprtc/hiprtc-config.cmake:21 (cmake_minimum_required): 2025-08-14T21:37:08.8220346Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-08-14T21:37:08.8220506Z CMake. 2025-08-14T21:37:08.8220556Z 2025-08-14T21:37:08.8220640Z Update the VERSION argument value. Or, use the ... syntax 2025-08-14T21:37:08.8220838Z to tell CMake that the project requires at least but has been updated 2025-08-14T21:37:08.8221011Z to work with policies introduced by or earlier. 2025-08-14T21:37:08.8221151Z Call Stack (most recent call first): 2025-08-14T21:37:08.8221384Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/public/LoadHIP.cmake:67 (find_package) 2025-08-14T21:37:08.8223587Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/public/LoadHIP.cmake:177 (find_package_and_print_version) 2025-08-14T21:37:08.8223969Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/Caffe2Config.cmake:74 (include) 2025-08-14T21:37:08.8224289Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:68 (find_package) 2025-08-14T21:37:08.8224586Z /var/lib/jenkins/pytorch/fbgemm/cmake/modules/PyTorchSetup.cmake:11 (find_package) 2025-08-14T21:37:08.8224771Z CMakeLists.txt:113 (include) 2025-08-14T21:37:08.8224840Z 2025-08-14T21:37:08.8224884Z  2025-08-14T21:37:08.8224997Z hiprtc VERSION: 6.4.43484 2025-08-14T21:37:08.8238794Z hipblaslt VERSION: 0.12.1 2025-08-14T21:37:08.8529315Z rccl VERSION: 2.22.3 2025-08-14T21:37:08.8531228Z hsa-runtime64 VERSION: 1.15.60402 2025-08-14T21:37:08.8547090Z hipsparselt VERSION: 0.2.3 2025-08-14T21:37:10.2212391Z hipblaslt is using scale pointer vec ext 2025-08-14T21:37:10.2688516Z CMake Warning at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message): 2025-08-14T21:37:10.2689318Z static library kineto_LIBRARY-NOTFOUND not found. 2025-08-14T21:37:10.2689724Z Call Stack (most recent call first): 2025-08-14T21:37:10.2690440Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:125 (append_torchlib_if_found) 2025-08-14T21:37:10.2691405Z /var/lib/jenkins/pytorch/fbgemm/cmake/modules/PyTorchSetup.cmake:11 (find_package) 2025-08-14T21:37:10.2691957Z CMakeLists.txt:113 (include) 2025-08-14T21:37:10.2692164Z 2025-08-14T21:37:10.2692291Z  2025-08-14T21:37:10.2692739Z -- Found Torch: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch.so 2025-08-14T21:37:10.2693305Z  2025-08-14T21:37:10.2700182Z  2025-08-14T21:37:10.2700340Z ================================================================================ 2025-08-14T21:37:10.2700506Z PyTorch Flags: 2025-08-14T21:37:10.2700621Z   2025-08-14T21:37:10.2700728Z TORCH_INCLUDE_DIRS: 2025-08-14T21:37:10.2700933Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:10.2701230Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:10.2701788Z   2025-08-14T21:37:10.2701893Z TORCH_LIBRARIES: 2025-08-14T21:37:10.2702008Z torch 2025-08-14T21:37:10.2702113Z torch_library 2025-08-14T21:37:10.2704159Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:10.2704343Z   2025-08-14T21:37:10.2704450Z TORCH_CUDA_OPTIONS: 2025-08-14T21:37:10.2704597Z --expt-relaxed-constexpr 2025-08-14T21:37:10.2704743Z -D__CUDA_NO_HALF_OPERATORS__ 2025-08-14T21:37:10.2704898Z -D__CUDA_NO_BFLOAT16_CONVERSIONS__ 2025-08-14T21:37:10.2705050Z -D__CUDA_NO_HALF2_OPERATORS__ 2025-08-14T21:37:10.2705217Z ================================================================================ 2025-08-14T21:37:10.2705359Z  2025-08-14T21:37:10.2705450Z  2025-08-14T21:37:10.2705537Z  2025-08-14T21:37:10.2707094Z ================================================================================ 2025-08-14T21:37:10.2707258Z CMAKE CUDA Flags 2025-08-14T21:37:10.2707362Z  2025-08-14T21:37:10.2707462Z CMAKE_CUDA_COMPILER_VERSION= 2025-08-14T21:37:10.2707616Z ================================================================================ 2025-08-14T21:37:10.2707741Z  2025-08-14T21:37:10.2707823Z  2025-08-14T21:37:10.2707905Z  2025-08-14T21:37:10.2708027Z ================================================================================ 2025-08-14T21:37:10.2708158Z NCCL Flags 2025-08-14T21:37:10.2709446Z  2025-08-14T21:37:10.2709549Z NCCL_INCLUDE_DIRS= 2025-08-14T21:37:10.2709667Z NCCL_LIBRARIES= 2025-08-14T21:37:10.2709804Z ================================================================================ 2025-08-14T21:37:10.2709928Z  2025-08-14T21:37:10.2710010Z  2025-08-14T21:37:10.2710091Z  2025-08-14T21:37:10.2710208Z ================================================================================ 2025-08-14T21:37:10.2710349Z CUDA Driver Path 2025-08-14T21:37:10.2710450Z  2025-08-14T21:37:10.2710546Z CUDA_DRIVER_LIBRARIES= 2025-08-14T21:37:10.2710690Z ================================================================================ 2025-08-14T21:37:10.2711872Z  2025-08-14T21:37:10.2711996Z Building FBGEMM for GPU arch: gfx90a;gfx942 2025-08-14T21:37:10.2712282Z HIP VERSION: 6.4.43484-123eb5128 2025-08-14T21:37:10.8601633Z -- The HIP compiler identification is Clang 19.0.0 2025-08-14T21:37:10.9305122Z -- Detecting HIP compiler ABI info 2025-08-14T21:37:11.4832005Z -- Detecting HIP compiler ABI info - done 2025-08-14T21:37:11.4946561Z -- Check for working HIP compiler: /opt/rocm/lib/llvm/bin/clang++ - skipped 2025-08-14T21:37:11.4951418Z -- Detecting HIP compile features 2025-08-14T21:37:11.4958569Z -- Detecting HIP compile features - done 2025-08-14T21:37:11.5069762Z HIP library name: amdhip64 2025-08-14T21:37:11.5072129Z CMake Deprecation Warning at /var/lib/jenkins/pytorch/fbgemm/external/hipify_torch/cmake/Hipify.cmake:3 (cmake_minimum_required): 2025-08-14T21:37:11.5072765Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-08-14T21:37:11.5073096Z CMake. 2025-08-14T21:37:11.5073191Z 2025-08-14T21:37:11.5073366Z Update the VERSION argument value. Or, use the ... syntax 2025-08-14T21:37:11.5073753Z to tell CMake that the project requires at least but has been updated 2025-08-14T21:37:11.5074091Z to work with policies introduced by or earlier. 2025-08-14T21:37:11.5074355Z Call Stack (most recent call first): 2025-08-14T21:37:11.5074665Z /var/lib/jenkins/pytorch/fbgemm/cmake/modules/RocmSetup.cmake:17 (include) 2025-08-14T21:37:11.5082355Z CMakeLists.txt:119 (include) 2025-08-14T21:37:11.5082497Z 2025-08-14T21:37:11.5082588Z  2025-08-14T21:37:11.5082741Z  2025-08-14T21:37:11.5082875Z  2025-08-14T21:37:11.5083089Z ================================================================================ 2025-08-14T21:37:11.5083871Z HIP found: TRUE 2025-08-14T21:37:11.5084062Z HIPCC compiler flags: 2025-08-14T21:37:11.5084233Z  2025-08-14T21:37:11.5084396Z -D__HIP_NO_HALF_OPERATORS__=1 2025-08-14T21:37:11.5084634Z -D__HIP_NO_BFLOAT16_CONVERSIONS__=1 2025-08-14T21:37:11.5084855Z -D__HIP_NO_HALF2_OPERATORS__=1 2025-08-14T21:37:11.5087109Z -DTORCH_USE_HIP_DSA 2025-08-14T21:37:11.5087262Z -mavx2 2025-08-14T21:37:11.5087377Z -mf16c 2025-08-14T21:37:11.5087493Z -mfma 2025-08-14T21:37:11.5087607Z -std=c++20 2025-08-14T21:37:11.5087727Z -fno-gpu-rdc 2025-08-14T21:37:11.5087881Z -Wno-defaulted-function-deleted 2025-08-14T21:37:11.5088053Z --offload-arch=gfx90a 2025-08-14T21:37:11.5088197Z --offload-arch=gfx942 2025-08-14T21:37:11.5088350Z  "-Wno-#pragma-messages"  2025-08-14T21:37:11.5088504Z  "-Wno-#warnings"  2025-08-14T21:37:11.5090060Z -fclang-abi-compat=17 2025-08-14T21:37:11.5090217Z -Wno-cuda-compat 2025-08-14T21:37:11.5090372Z -Wno-deprecated-declarations 2025-08-14T21:37:11.5090526Z -Wno-format 2025-08-14T21:37:11.5090655Z -Wno-ignored-attributes 2025-08-14T21:37:11.5090805Z -Wno-unused-result 2025-08-14T21:37:11.5090990Z ================================================================================ 2025-08-14T21:37:11.5091149Z  2025-08-14T21:37:11.5114122Z  2025-08-14T21:37:11.5114317Z  2025-08-14T21:37:11.5114463Z ================================================================================ 2025-08-14T21:37:11.5116882Z GPU CPP Library Target: asmjit (SHARED) 2025-08-14T21:37:11.5117020Z   2025-08-14T21:37:11.5117117Z CPU_SRCS: 2025-08-14T21:37:11.5117221Z  2025-08-14T21:37:11.5117311Z   2025-08-14T21:37:11.5117399Z GPU_SRCS: 2025-08-14T21:37:11.5117493Z  2025-08-14T21:37:11.5117584Z   2025-08-14T21:37:11.5117686Z CUDA_SPECIFIC_SRCS: 2025-08-14T21:37:11.5117795Z  2025-08-14T21:37:11.5117888Z   2025-08-14T21:37:11.5118002Z HIP_SPECIFIC_SRCS: 2025-08-14T21:37:11.5118126Z  2025-08-14T21:37:11.5118225Z   2025-08-14T21:37:11.5118327Z OTHER_SRCS: 2025-08-14T21:37:11.5120563Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/arm/a64assembler.cpp 2025-08-14T21:37:11.5120945Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/arm/a64builder.cpp 2025-08-14T21:37:11.5121264Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/arm/a64compiler.cpp 2025-08-14T21:37:11.5121591Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/arm/a64emithelper.cpp 2025-08-14T21:37:11.5121922Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/arm/a64formatter.cpp 2025-08-14T21:37:11.5122234Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/arm/a64func.cpp 2025-08-14T21:37:11.5122546Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/arm/a64instapi.cpp 2025-08-14T21:37:11.5122856Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/arm/a64instdb.cpp 2025-08-14T21:37:11.5123169Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/arm/a64operand.cpp 2025-08-14T21:37:11.5123479Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/arm/a64rapass.cpp 2025-08-14T21:37:11.5123790Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/arm/armformatter.cpp 2025-08-14T21:37:11.5124108Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/archtraits.cpp 2025-08-14T21:37:11.5125693Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/assembler.cpp 2025-08-14T21:37:11.5126067Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/builder.cpp 2025-08-14T21:37:11.5126393Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/codeholder.cpp 2025-08-14T21:37:11.5126781Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/codewriter.cpp 2025-08-14T21:37:11.5127097Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/compiler.cpp 2025-08-14T21:37:11.5127408Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/constpool.cpp 2025-08-14T21:37:11.5127715Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/cpuinfo.cpp 2025-08-14T21:37:11.5128024Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/emithelper.cpp 2025-08-14T21:37:11.5128333Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/emitter.cpp 2025-08-14T21:37:11.5128657Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/emitterutils.cpp 2025-08-14T21:37:11.5130061Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/environment.cpp 2025-08-14T21:37:11.5130390Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/errorhandler.cpp 2025-08-14T21:37:11.5130708Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/formatter.cpp 2025-08-14T21:37:11.5131012Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/func.cpp 2025-08-14T21:37:11.5131329Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/funcargscontext.cpp 2025-08-14T21:37:11.5131649Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/globals.cpp 2025-08-14T21:37:11.5131947Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/inst.cpp 2025-08-14T21:37:11.5132255Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/instdb.cpp 2025-08-14T21:37:11.5132571Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/jitallocator.cpp 2025-08-14T21:37:11.5132889Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/jitruntime.cpp 2025-08-14T21:37:11.5133245Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/logger.cpp 2025-08-14T21:37:11.5134590Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/operand.cpp 2025-08-14T21:37:11.5134902Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/osutils.cpp 2025-08-14T21:37:11.5135205Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/ralocal.cpp 2025-08-14T21:37:11.5135507Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/rapass.cpp 2025-08-14T21:37:11.5135815Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/rastack.cpp 2025-08-14T21:37:11.5136140Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/string.cpp 2025-08-14T21:37:11.5136528Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/support.cpp 2025-08-14T21:37:11.5136837Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/target.cpp 2025-08-14T21:37:11.5137139Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/type.cpp 2025-08-14T21:37:11.5137441Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/virtmem.cpp 2025-08-14T21:37:11.5137740Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/zone.cpp 2025-08-14T21:37:11.5139512Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/zonehash.cpp 2025-08-14T21:37:11.5139829Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/zonelist.cpp 2025-08-14T21:37:11.5140202Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/zonestack.cpp 2025-08-14T21:37:11.5140511Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/zonetree.cpp 2025-08-14T21:37:11.5140834Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/core/zonevector.cpp 2025-08-14T21:37:11.5141155Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/x86/x86assembler.cpp 2025-08-14T21:37:11.5141468Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/x86/x86builder.cpp 2025-08-14T21:37:11.5141778Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/x86/x86compiler.cpp 2025-08-14T21:37:11.5142093Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/x86/x86emithelper.cpp 2025-08-14T21:37:11.5142415Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/x86/x86formatter.cpp 2025-08-14T21:37:11.5143947Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/x86/x86func.cpp 2025-08-14T21:37:11.5144271Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/x86/x86instapi.cpp 2025-08-14T21:37:11.5144585Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/x86/x86instdb.cpp 2025-08-14T21:37:11.5144894Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/x86/x86operand.cpp 2025-08-14T21:37:11.5145201Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src/asmjit/x86/x86rapass.cpp 2025-08-14T21:37:11.5145398Z   2025-08-14T21:37:11.5145491Z CC_FLAGS: 2025-08-14T21:37:11.5145587Z  2025-08-14T21:37:11.5145669Z   2025-08-14T21:37:11.5145758Z NVCC_FLAGS: 2025-08-14T21:37:11.5145852Z  2025-08-14T21:37:11.5145943Z   2025-08-14T21:37:11.5146032Z HIPCC_FLAGS: 2025-08-14T21:37:11.5146135Z  2025-08-14T21:37:11.5146219Z   2025-08-14T21:37:11.5147520Z INCLUDE_DIRS: 2025-08-14T21:37:11.5147685Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:11.5147867Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:11.5148114Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:11.5148308Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:11.5148529Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:11.5148798Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:11.5149062Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src 2025-08-14T21:37:11.5149307Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cpuinfo/include 2025-08-14T21:37:11.5149550Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/include 2025-08-14T21:37:11.5149818Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/tools/util/include 2025-08-14T21:37:11.5151110Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/include 2025-08-14T21:37:11.5151425Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/library/include 2025-08-14T21:37:11.5151695Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/json/include 2025-08-14T21:37:11.5151863Z   2025-08-14T21:37:11.5151966Z Selected Source Files: 2025-08-14T21:37:11.5152076Z  2025-08-14T21:37:11.5152160Z   2025-08-14T21:37:11.5152258Z HIPified Source Files: 2025-08-14T21:37:11.5152364Z  2025-08-14T21:37:11.5152446Z   2025-08-14T21:37:11.5152543Z Library Dependencies: 2025-08-14T21:37:11.5153640Z torch 2025-08-14T21:37:11.5153745Z torch_library 2025-08-14T21:37:11.5153977Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:11.5154144Z   2025-08-14T21:37:11.5154236Z Output Library: 2025-08-14T21:37:11.5154341Z asmjit 2025-08-14T21:37:11.5154430Z   2025-08-14T21:37:11.5154527Z Destination Directory: 2025-08-14T21:37:11.5154639Z fbgemm_gpu 2025-08-14T21:37:11.5154777Z ================================================================================ 2025-08-14T21:37:11.5154905Z  2025-08-14T21:37:11.5156012Z  2025-08-14T21:37:11.5156100Z  2025-08-14T21:37:11.5156220Z ================================================================================ 2025-08-14T21:37:11.5156379Z GPU CPP Library Target: fbgemm (SHARED) 2025-08-14T21:37:11.5156599Z   2025-08-14T21:37:11.5156686Z CPU_SRCS: 2025-08-14T21:37:11.5156778Z  2025-08-14T21:37:11.5156860Z   2025-08-14T21:37:11.5156946Z GPU_SRCS: 2025-08-14T21:37:11.5157043Z  2025-08-14T21:37:11.5157123Z   2025-08-14T21:37:11.5158228Z CUDA_SPECIFIC_SRCS: 2025-08-14T21:37:11.5158343Z  2025-08-14T21:37:11.5158425Z   2025-08-14T21:37:11.5158521Z HIP_SPECIFIC_SRCS: 2025-08-14T21:37:11.5158625Z  2025-08-14T21:37:11.5158706Z   2025-08-14T21:37:11.5158794Z OTHER_SRCS: 2025-08-14T21:37:11.5158969Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../src/EmbeddingSpMDM.cc 2025-08-14T21:37:11.5159217Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../src/EmbeddingSpMDMNBit.cc 2025-08-14T21:37:11.5159458Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../src/QuantUtils.cc 2025-08-14T21:37:11.5159752Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../src/RefImplementations.cc 2025-08-14T21:37:11.5161026Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../src/RowWiseSparseAdagradFused.cc 2025-08-14T21:37:11.5161292Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../src/SparseAdagrad.cc 2025-08-14T21:37:11.5161529Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../src/Utils.cc 2025-08-14T21:37:11.5161769Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../src/EmbeddingSpMDMAutovec.cc 2025-08-14T21:37:11.5162032Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../src/EmbeddingStatsTracker.cc 2025-08-14T21:37:11.5162338Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../src/EmbeddingSpMDMAvx2.cc 2025-08-14T21:37:11.5162583Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../src/QuantUtilsAvx2.cc 2025-08-14T21:37:11.5162748Z   2025-08-14T21:37:11.5162836Z CC_FLAGS: 2025-08-14T21:37:11.5162928Z  2025-08-14T21:37:11.5163010Z   2025-08-14T21:37:11.5164099Z NVCC_FLAGS: 2025-08-14T21:37:11.5164199Z  2025-08-14T21:37:11.5164281Z   2025-08-14T21:37:11.5164370Z HIPCC_FLAGS: 2025-08-14T21:37:11.5164467Z  2025-08-14T21:37:11.5164548Z   2025-08-14T21:37:11.5164638Z INCLUDE_DIRS: 2025-08-14T21:37:11.5164793Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:11.5164971Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:11.5165147Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:11.5165338Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:11.5166735Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:11.5167007Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:11.5167267Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src 2025-08-14T21:37:11.5167508Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cpuinfo/include 2025-08-14T21:37:11.5167752Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/include 2025-08-14T21:37:11.5168016Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/tools/util/include 2025-08-14T21:37:11.5168345Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/include 2025-08-14T21:37:11.5168637Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/library/include 2025-08-14T21:37:11.5168905Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/json/include 2025-08-14T21:37:11.5169069Z   2025-08-14T21:37:11.5169170Z Selected Source Files: 2025-08-14T21:37:11.5170294Z  2025-08-14T21:37:11.5170382Z   2025-08-14T21:37:11.5170480Z HIPified Source Files: 2025-08-14T21:37:11.5170589Z  2025-08-14T21:37:11.5170670Z   2025-08-14T21:37:11.5170769Z Library Dependencies: 2025-08-14T21:37:11.5170878Z torch 2025-08-14T21:37:11.5170974Z torch_library 2025-08-14T21:37:11.5171150Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:11.5171315Z asmjit 2025-08-14T21:37:11.5171405Z   2025-08-14T21:37:11.5172487Z Output Library: 2025-08-14T21:37:11.5172604Z fbgemm 2025-08-14T21:37:11.5172693Z   2025-08-14T21:37:11.5172791Z Destination Directory: 2025-08-14T21:37:11.5172905Z fbgemm_gpu 2025-08-14T21:37:11.5173036Z ================================================================================ 2025-08-14T21:37:11.5173162Z  2025-08-14T21:37:11.5173244Z  2025-08-14T21:37:11.5173327Z  2025-08-14T21:37:11.5173445Z ================================================================================ 2025-08-14T21:37:11.5173594Z Running code generation script ... 2025-08-14T21:37:11.5174936Z /opt/conda/envs/py_3.10/bin/python /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/genscript/generate_backward_split.py --opensource --is_rocm 2025-08-14T21:37:11.5175265Z ================================================================================ 2025-08-14T21:37:11.5175392Z  2025-08-14T21:37:11.7842954Z [ARGS PARSE] Parsed arguments: Namespace(install_dir='.', is_fbcode=False, is_rocm=True) 2025-08-14T21:37:11.7843706Z [GENERAATE BACKWARD SPLIT]: ['/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/genscript/generate_backward_split.py', '--opensource', '--is_rocm'] 2025-08-14T21:37:11.7844218Z Written: gen_embedding_backward_dense_split_weighted_vbe_cuda.cu 2025-08-14T21:37:11.7845080Z Written: gen_embedding_backward_dense_split_weighted_cuda.cu 2025-08-14T21:37:11.7845380Z Written: gen_embedding_backward_dense_split_unweighted_nobag_cuda.cu 2025-08-14T21:37:11.7845702Z Written: gen_embedding_backward_dense_split_unweighted_vbe_cuda.cu 2025-08-14T21:37:11.7845991Z Written: gen_embedding_backward_dense_split_unweighted_cuda.cu 2025-08-14T21:37:11.7853075Z Written: gen_embedding_backward_dense_split_weighted_vbe_meta.cpp 2025-08-14T21:37:11.7853350Z Written: gen_embedding_backward_dense_split_weighted_meta.cpp 2025-08-14T21:37:11.7853633Z Written: gen_embedding_backward_dense_split_unweighted_nobag_meta.cpp 2025-08-14T21:37:11.7853932Z Written: gen_embedding_backward_dense_split_unweighted_vbe_meta.cpp 2025-08-14T21:37:11.7854222Z Written: gen_embedding_backward_dense_split_unweighted_meta.cpp 2025-08-14T21:37:11.7854515Z Written: gen_embedding_backward_dense_split_weighted_vbe_kernel_cta.cu 2025-08-14T21:37:11.7854799Z Written: gen_embedding_backward_dense_split_weighted_kernel_cta.cu 2025-08-14T21:37:11.7855098Z Written: gen_embedding_backward_dense_split_unweighted_nobag_kernel_cta.cu 2025-08-14T21:37:11.7855401Z Written: gen_embedding_backward_dense_split_unweighted_vbe_kernel_cta.cu 2025-08-14T21:37:11.7855721Z Written: gen_embedding_backward_dense_split_unweighted_kernel_cta.cu 2025-08-14T21:37:11.7855964Z Written: gen_embedding_backward_dense_split_weighted_vbe_kernel_warp.cu 2025-08-14T21:37:11.7856195Z Written: gen_embedding_backward_dense_split_weighted_kernel_warp.cu 2025-08-14T21:37:11.7856512Z Written: gen_embedding_backward_dense_split_unweighted_nobag_kernel_warp.cu 2025-08-14T21:37:11.7856766Z Written: gen_embedding_backward_dense_split_unweighted_vbe_kernel_warp.cu 2025-08-14T21:37:11.7857140Z Written: gen_embedding_backward_dense_split_unweighted_kernel_warp.cu 2025-08-14T21:37:11.7857369Z Written: gen_embedding_optimizer_dense_split_device_kernel.cuh 2025-08-14T21:37:11.7857563Z Written: gen_embedding_backward_split_dense.cpp 2025-08-14T21:37:11.7857742Z Written: gen_embedding_backward_dense_split_cpu.cpp 2025-08-14T21:37:11.7857948Z Written: gen_embedding_backward_adagrad_split_weighted_cuda.cu 2025-08-14T21:37:11.7858172Z Written: gen_embedding_backward_adagrad_split_unweighted_nobag_cuda.cu 2025-08-14T21:37:11.7858404Z Written: gen_embedding_backward_adagrad_split_unweighted_cuda.cu 2025-08-14T21:37:11.7858623Z Written: gen_embedding_backward_adagrad_split_weighted_meta.cpp 2025-08-14T21:37:11.7858858Z Written: gen_embedding_backward_adagrad_split_unweighted_nobag_meta.cpp 2025-08-14T21:37:11.7859090Z Written: gen_embedding_backward_adagrad_split_unweighted_meta.cpp 2025-08-14T21:37:11.7859321Z Written: gen_embedding_backward_adagrad_split_weighted_kernel_cta.cu 2025-08-14T21:37:11.7859569Z Written: gen_embedding_backward_adagrad_split_unweighted_nobag_kernel_cta.cu 2025-08-14T21:37:11.7859810Z Written: gen_embedding_backward_adagrad_split_unweighted_kernel_cta.cu 2025-08-14T21:37:11.7861762Z Written: gen_embedding_backward_adagrad_split_weighted_kernel_warp.cu 2025-08-14T21:37:11.7862003Z Written: gen_embedding_backward_adagrad_split_unweighted_nobag_kernel_warp.cu 2025-08-14T21:37:11.7862244Z Written: gen_embedding_backward_adagrad_split_unweighted_kernel_warp.cu 2025-08-14T21:37:11.7862462Z Written: gen_embedding_optimizer_adagrad_split_device_kernel.cuh 2025-08-14T21:37:11.7862654Z Written: gen_embedding_backward_split_adagrad.cpp 2025-08-14T21:37:11.7862825Z Written: gen_embedding_split_adagrad_pt2_autograd.cpp 2025-08-14T21:37:11.7863022Z Written: gen_embedding_backward_split_adagrad_pt2_cuda_wrapper.cpp 2025-08-14T21:37:11.7863202Z Written: lookup_adagrad.py 2025-08-14T21:37:11.7863346Z Written: gen_embedding_backward_adagrad_split_cpu.cpp 2025-08-14T21:37:11.7863531Z Written: gen_embedding_backward_split_adagrad_cpu.cpp 2025-08-14T21:37:11.7863725Z Written: gen_embedding_backward_split_adagrad_pt2_cpu_wrapper.cpp 2025-08-14T21:37:11.7865250Z Written: gen_embedding_backward_adam_split_weighted_vbe_cuda.cu 2025-08-14T21:37:11.7865448Z Written: gen_embedding_backward_adam_split_weighted_cuda.cu 2025-08-14T21:37:11.7865709Z Written: gen_embedding_backward_adam_split_unweighted_nobag_cuda.cu 2025-08-14T21:37:11.7865891Z Written: gen_embedding_backward_adam_split_unweighted_vbe_cuda.cu 2025-08-14T21:37:11.7866067Z Written: gen_embedding_backward_adam_split_unweighted_cuda.cu 2025-08-14T21:37:11.7866240Z Written: gen_embedding_backward_adam_split_weighted_vbe_meta.cpp 2025-08-14T21:37:11.7866414Z Written: gen_embedding_backward_adam_split_weighted_meta.cpp 2025-08-14T21:37:11.7866693Z Written: gen_embedding_backward_adam_split_unweighted_nobag_meta.cpp 2025-08-14T21:37:11.7866877Z Written: gen_embedding_backward_adam_split_unweighted_vbe_meta.cpp 2025-08-14T21:37:11.7867057Z Written: gen_embedding_backward_adam_split_unweighted_meta.cpp 2025-08-14T21:37:11.7867238Z Written: gen_embedding_backward_adam_split_weighted_vbe_kernel_cta.cu 2025-08-14T21:37:11.7868528Z Written: gen_embedding_backward_adam_split_weighted_kernel_cta.cu 2025-08-14T21:37:11.7868720Z Written: gen_embedding_backward_adam_split_unweighted_nobag_kernel_cta.cu 2025-08-14T21:37:11.7868927Z Written: gen_embedding_backward_adam_split_unweighted_vbe_kernel_cta.cu 2025-08-14T21:37:11.7869118Z Written: gen_embedding_backward_adam_split_unweighted_kernel_cta.cu 2025-08-14T21:37:11.7869305Z Written: gen_embedding_backward_adam_split_weighted_vbe_kernel_warp.cu 2025-08-14T21:37:11.7869492Z Written: gen_embedding_backward_adam_split_weighted_kernel_warp.cu 2025-08-14T21:37:11.7869683Z Written: gen_embedding_backward_adam_split_unweighted_nobag_kernel_warp.cu 2025-08-14T21:37:11.7869885Z Written: gen_embedding_backward_adam_split_unweighted_vbe_kernel_warp.cu 2025-08-14T21:37:11.7870130Z Written: gen_embedding_backward_adam_split_unweighted_kernel_warp.cu 2025-08-14T21:37:11.7870309Z Written: gen_embedding_optimizer_adam_split_device_kernel.cuh 2025-08-14T21:37:11.7870465Z Written: gen_embedding_backward_split_adam.cpp 2025-08-14T21:37:11.7871678Z Written: gen_embedding_split_adam_pt2_autograd.cpp 2025-08-14T21:37:11.7871845Z Written: gen_embedding_backward_split_adam_pt2_cuda_wrapper.cpp 2025-08-14T21:37:11.7871993Z Written: lookup_adam.py 2025-08-14T21:37:11.7872111Z Written: gen_embedding_backward_split_adam_cpu.cpp 2025-08-14T21:37:11.7872270Z Written: gen_embedding_backward_split_adam_pt2_cpu_wrapper.cpp 2025-08-14T21:37:11.7872441Z Written: gen_embedding_backward_lamb_split_weighted_cuda.cu 2025-08-14T21:37:11.7872616Z Written: gen_embedding_backward_lamb_split_unweighted_nobag_cuda.cu 2025-08-14T21:37:11.7872793Z Written: gen_embedding_backward_lamb_split_unweighted_cuda.cu 2025-08-14T21:37:11.7872963Z Written: gen_embedding_backward_lamb_split_weighted_meta.cpp 2025-08-14T21:37:11.7873147Z Written: gen_embedding_backward_lamb_split_unweighted_nobag_meta.cpp 2025-08-14T21:37:11.7873327Z Written: gen_embedding_backward_lamb_split_unweighted_meta.cpp 2025-08-14T21:37:11.7874520Z Written: gen_embedding_backward_lamb_split_weighted_kernel_cta.cu 2025-08-14T21:37:11.7874711Z Written: gen_embedding_backward_lamb_split_unweighted_nobag_kernel_cta.cu 2025-08-14T21:37:11.7874908Z Written: gen_embedding_backward_lamb_split_unweighted_kernel_cta.cu 2025-08-14T21:37:11.7875092Z Written: gen_embedding_backward_lamb_split_weighted_kernel_warp.cu 2025-08-14T21:37:11.7875283Z Written: gen_embedding_backward_lamb_split_unweighted_nobag_kernel_warp.cu 2025-08-14T21:37:11.7875477Z Written: gen_embedding_backward_lamb_split_unweighted_kernel_warp.cu 2025-08-14T21:37:11.7875654Z Written: gen_embedding_optimizer_lamb_split_device_kernel.cuh 2025-08-14T21:37:11.7875809Z Written: gen_embedding_backward_split_lamb.cpp 2025-08-14T21:37:11.7875948Z Written: gen_embedding_split_lamb_pt2_autograd.cpp 2025-08-14T21:37:11.7876111Z Written: gen_embedding_backward_split_lamb_pt2_cuda_wrapper.cpp 2025-08-14T21:37:11.7876256Z Written: lookup_lamb.py 2025-08-14T21:37:11.7877509Z Written: gen_embedding_backward_split_lamb_cpu.cpp 2025-08-14T21:37:11.7877666Z Written: gen_embedding_backward_split_lamb_pt2_cpu_wrapper.cpp 2025-08-14T21:37:11.7877840Z Written: gen_embedding_backward_lars_sgd_split_weighted_cuda.cu 2025-08-14T21:37:11.7878074Z Written: gen_embedding_backward_lars_sgd_split_unweighted_nobag_cuda.cu 2025-08-14T21:37:11.7878262Z Written: gen_embedding_backward_lars_sgd_split_unweighted_cuda.cu 2025-08-14T21:37:11.7878439Z Written: gen_embedding_backward_lars_sgd_split_weighted_meta.cpp 2025-08-14T21:37:11.7878626Z Written: gen_embedding_backward_lars_sgd_split_unweighted_nobag_meta.cpp 2025-08-14T21:37:11.7878817Z Written: gen_embedding_backward_lars_sgd_split_unweighted_meta.cpp 2025-08-14T21:37:11.7879003Z Written: gen_embedding_backward_lars_sgd_split_weighted_kernel_cta.cu 2025-08-14T21:37:11.7879203Z Written: gen_embedding_backward_lars_sgd_split_unweighted_nobag_kernel_cta.cu 2025-08-14T21:37:11.7880533Z Written: gen_embedding_backward_lars_sgd_split_unweighted_kernel_cta.cu 2025-08-14T21:37:11.7880740Z Written: gen_embedding_backward_lars_sgd_split_weighted_kernel_warp.cu 2025-08-14T21:37:11.7880941Z Written: gen_embedding_backward_lars_sgd_split_unweighted_nobag_kernel_warp.cu 2025-08-14T21:37:11.7881155Z Written: gen_embedding_backward_lars_sgd_split_unweighted_kernel_warp.cu 2025-08-14T21:37:11.7881344Z Written: gen_embedding_optimizer_lars_sgd_split_device_kernel.cuh 2025-08-14T21:37:11.7881507Z Written: gen_embedding_backward_split_lars_sgd.cpp 2025-08-14T21:37:11.7881655Z Written: gen_embedding_split_lars_sgd_pt2_autograd.cpp 2025-08-14T21:37:11.7881824Z Written: gen_embedding_backward_split_lars_sgd_pt2_cuda_wrapper.cpp 2025-08-14T21:37:11.7881975Z Written: lookup_lars_sgd.py 2025-08-14T21:37:11.7882102Z Written: gen_embedding_backward_split_lars_sgd_cpu.cpp 2025-08-14T21:37:11.7882268Z Written: gen_embedding_backward_split_lars_sgd_pt2_cpu_wrapper.cpp 2025-08-14T21:37:11.7883513Z Written: gen_embedding_backward_partial_rowwise_adam_ssd_weighted_cuda.cu 2025-08-14T21:37:11.7883725Z Written: gen_embedding_backward_partial_rowwise_adam_split_weighted_cuda.cu 2025-08-14T21:37:11.7883937Z Written: gen_embedding_backward_partial_rowwise_adam_ssd_unweighted_nobag_cuda.cu 2025-08-14T21:37:11.7884166Z Written: gen_embedding_backward_partial_rowwise_adam_split_unweighted_nobag_cuda.cu 2025-08-14T21:37:11.7884382Z Written: gen_embedding_backward_partial_rowwise_adam_ssd_unweighted_cuda.cu 2025-08-14T21:37:11.7884589Z Written: gen_embedding_backward_partial_rowwise_adam_split_unweighted_cuda.cu 2025-08-14T21:37:11.7884796Z Written: gen_embedding_backward_partial_rowwise_adam_ssd_weighted_meta.cpp 2025-08-14T21:37:11.7885000Z Written: gen_embedding_backward_partial_rowwise_adam_split_weighted_meta.cpp 2025-08-14T21:37:11.7885214Z Written: gen_embedding_backward_partial_rowwise_adam_ssd_unweighted_nobag_meta.cpp 2025-08-14T21:37:11.7885445Z Written: gen_embedding_backward_partial_rowwise_adam_split_unweighted_nobag_meta.cpp 2025-08-14T21:37:11.7885664Z Written: gen_embedding_backward_partial_rowwise_adam_ssd_unweighted_meta.cpp 2025-08-14T21:37:11.7886957Z Written: gen_embedding_backward_partial_rowwise_adam_split_unweighted_meta.cpp 2025-08-14T21:37:11.7887185Z Written: gen_embedding_backward_partial_rowwise_adam_ssd_weighted_kernel_cta.cu 2025-08-14T21:37:11.9708654Z Written: gen_embedding_backward_partial_rowwise_adam_split_weighted_kernel_cta.cu 2025-08-14T21:37:11.9708983Z Written: gen_embedding_backward_partial_rowwise_adam_ssd_unweighted_nobag_kernel_cta.cu 2025-08-14T21:37:11.9709331Z Written: gen_embedding_backward_partial_rowwise_adam_split_unweighted_nobag_kernel_cta.cu 2025-08-14T21:37:11.9709608Z Written: gen_embedding_backward_partial_rowwise_adam_ssd_unweighted_kernel_cta.cu 2025-08-14T21:37:11.9709863Z Written: gen_embedding_backward_partial_rowwise_adam_split_unweighted_kernel_cta.cu 2025-08-14T21:37:11.9710139Z Written: gen_embedding_backward_partial_rowwise_adam_ssd_weighted_kernel_warp.cu 2025-08-14T21:37:11.9710384Z Written: gen_embedding_backward_partial_rowwise_adam_split_weighted_kernel_warp.cu 2025-08-14T21:37:11.9710645Z Written: gen_embedding_backward_partial_rowwise_adam_ssd_unweighted_nobag_kernel_warp.cu 2025-08-14T21:37:11.9711120Z Written: gen_embedding_backward_partial_rowwise_adam_split_unweighted_nobag_kernel_warp.cu 2025-08-14T21:37:11.9711363Z Written: gen_embedding_backward_partial_rowwise_adam_ssd_unweighted_kernel_warp.cu 2025-08-14T21:37:11.9711605Z Written: gen_embedding_backward_partial_rowwise_adam_split_unweighted_kernel_warp.cu 2025-08-14T21:37:11.9711839Z Written: gen_embedding_optimizer_partial_rowwise_adam_ssd_device_kernel.cuh 2025-08-14T21:37:11.9712065Z Written: gen_embedding_optimizer_partial_rowwise_adam_split_device_kernel.cuh 2025-08-14T21:37:11.9712274Z Written: gen_embedding_backward_ssd_partial_rowwise_adam.cpp 2025-08-14T21:37:11.9712466Z Written: gen_embedding_ssd_partial_rowwise_adam_pt2_autograd.cpp 2025-08-14T21:37:11.9712683Z Written: gen_embedding_backward_ssd_partial_rowwise_adam_pt2_cuda_wrapper.cpp 2025-08-14T21:37:11.9712879Z Written: lookup_partial_rowwise_adam_ssd.py 2025-08-14T21:37:11.9713049Z Written: gen_embedding_backward_split_partial_rowwise_adam.cpp 2025-08-14T21:37:11.9713246Z Written: gen_embedding_split_partial_rowwise_adam_pt2_autograd.cpp 2025-08-14T21:37:11.9715620Z Written: gen_embedding_backward_split_partial_rowwise_adam_pt2_cuda_wrapper.cpp 2025-08-14T21:37:11.9715807Z Written: lookup_partial_rowwise_adam.py 2025-08-14T21:37:11.9715974Z Written: gen_embedding_backward_split_partial_rowwise_adam_cpu.cpp 2025-08-14T21:37:11.9716180Z Written: gen_embedding_backward_split_partial_rowwise_adam_pt2_cpu_wrapper.cpp 2025-08-14T21:37:11.9716400Z Written: gen_embedding_backward_partial_rowwise_lamb_split_weighted_cuda.cu 2025-08-14T21:37:11.9716724Z Written: gen_embedding_backward_partial_rowwise_lamb_split_unweighted_nobag_cuda.cu 2025-08-14T21:37:11.9717093Z Written: gen_embedding_backward_partial_rowwise_lamb_split_unweighted_cuda.cu 2025-08-14T21:37:11.9717302Z Written: gen_embedding_backward_partial_rowwise_lamb_split_weighted_meta.cpp 2025-08-14T21:37:11.9717536Z Written: gen_embedding_backward_partial_rowwise_lamb_split_unweighted_nobag_meta.cpp 2025-08-14T21:37:11.9717764Z Written: gen_embedding_backward_partial_rowwise_lamb_split_unweighted_meta.cpp 2025-08-14T21:37:11.9717983Z Written: gen_embedding_backward_partial_rowwise_lamb_split_weighted_kernel_cta.cu 2025-08-14T21:37:11.9718217Z Written: gen_embedding_backward_partial_rowwise_lamb_split_unweighted_nobag_kernel_cta.cu 2025-08-14T21:37:11.9718454Z Written: gen_embedding_backward_partial_rowwise_lamb_split_unweighted_kernel_cta.cu 2025-08-14T21:37:11.9718679Z Written: gen_embedding_backward_partial_rowwise_lamb_split_weighted_kernel_warp.cu 2025-08-14T21:37:11.9718911Z Written: gen_embedding_backward_partial_rowwise_lamb_split_unweighted_nobag_kernel_warp.cu 2025-08-14T21:37:11.9719149Z Written: gen_embedding_backward_partial_rowwise_lamb_split_unweighted_kernel_warp.cu 2025-08-14T21:37:11.9720907Z Written: gen_embedding_optimizer_partial_rowwise_lamb_split_device_kernel.cuh 2025-08-14T21:37:11.9721110Z Written: gen_embedding_backward_split_partial_rowwise_lamb.cpp 2025-08-14T21:37:11.9721294Z Written: gen_embedding_split_partial_rowwise_lamb_pt2_autograd.cpp 2025-08-14T21:37:11.9721499Z Written: gen_embedding_backward_split_partial_rowwise_lamb_pt2_cuda_wrapper.cpp 2025-08-14T21:37:11.9721673Z Written: lookup_partial_rowwise_lamb.py 2025-08-14T21:37:11.9721826Z Written: gen_embedding_backward_split_partial_rowwise_lamb_cpu.cpp 2025-08-14T21:37:11.9722023Z Written: gen_embedding_backward_split_partial_rowwise_lamb_pt2_cpu_wrapper.cpp 2025-08-14T21:37:11.9722231Z Written: gen_embedding_backward_rowwise_adagrad_ssd_weighted_vbe_cuda.cu 2025-08-14T21:37:11.9722430Z Written: gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_cuda.cu 2025-08-14T21:37:11.9722627Z Written: gen_embedding_backward_rowwise_adagrad_ssd_weighted_cuda.cu 2025-08-14T21:37:11.9722825Z Written: gen_embedding_backward_rowwise_adagrad_split_weighted_cuda.cu 2025-08-14T21:37:11.9724147Z Written: gen_embedding_backward_rowwise_adagrad_ssd_unweighted_nobag_cuda.cu 2025-08-14T21:37:11.9724355Z Written: 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gen_embedding_backward_split_approx_rowwise_adagrad_with_weight_decay_pt2_cuda_wrapper.cpp 2025-08-14T21:37:12.0138907Z Written: gen_embedding_backward_split_approx_rowwise_adagrad_with_weight_decay_cpu.cpp 2025-08-14T21:37:12.0139188Z Written: gen_embedding_backward_split_approx_rowwise_adagrad_with_weight_decay_pt2_cpu_wrapper.cpp 2025-08-14T21:37:12.0139539Z Written: gen_embedding_backward_rowwise_adagrad_with_counter_split_weighted_vbe_cuda.cu 2025-08-14T21:37:12.0139771Z Written: gen_embedding_backward_rowwise_adagrad_with_counter_split_weighted_cuda.cu 2025-08-14T21:37:12.0140020Z Written: gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_nobag_cuda.cu 2025-08-14T21:37:12.0140264Z Written: gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_vbe_cuda.cu 2025-08-14T21:37:12.0140499Z Written: gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_cuda.cu 2025-08-14T21:37:12.0140732Z Written: 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gen_embedding_backward_split_rowwise_adagrad_with_counter.cpp 2025-08-14T21:37:12.0147345Z Written: gen_embedding_split_rowwise_adagrad_with_counter_pt2_autograd.cpp 2025-08-14T21:37:12.0147570Z Written: gen_embedding_backward_split_rowwise_adagrad_with_counter_pt2_cuda_wrapper.cpp 2025-08-14T21:37:12.0147767Z Written: lookup_rowwise_adagrad_with_counter.py 2025-08-14T21:37:12.0147940Z Written: gen_embedding_backward_split_rowwise_adagrad_with_counter_cpu.cpp 2025-08-14T21:37:12.0148164Z Written: gen_embedding_backward_split_rowwise_adagrad_with_counter_pt2_cpu_wrapper.cpp 2025-08-14T21:37:12.0148409Z Written: gen_embedding_optimizer_approx_rowwise_adagrad_with_counter_split_device_kernel.cuh 2025-08-14T21:37:12.0148641Z Written: gen_embedding_backward_split_approx_rowwise_adagrad_with_counter.cpp 2025-08-14T21:37:12.0148856Z Written: gen_embedding_split_approx_rowwise_adagrad_with_counter_pt2_autograd.cpp 2025-08-14T21:37:12.0149094Z Written: 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gen_embedding_backward_none_split_weighted_kernel_warp.cu 2025-08-14T21:37:12.0164352Z Written: gen_embedding_backward_none_split_unweighted_nobag_kernel_warp.cu 2025-08-14T21:37:12.0164548Z Written: gen_embedding_backward_none_split_unweighted_kernel_warp.cu 2025-08-14T21:37:12.0164726Z Written: gen_embedding_optimizer_none_split_device_kernel.cuh 2025-08-14T21:37:12.0165922Z Written: gen_embedding_backward_split_none.cpp 2025-08-14T21:37:12.0166072Z Written: gen_embedding_split_none_pt2_autograd.cpp 2025-08-14T21:37:12.0166233Z Written: gen_embedding_backward_split_none_pt2_cuda_wrapper.cpp 2025-08-14T21:37:12.0166381Z Written: lookup_none.py 2025-08-14T21:37:12.0166598Z Written: gen_embedding_backward_split_none_cpu.cpp 2025-08-14T21:37:12.0166762Z Written: gen_embedding_backward_split_none_pt2_cpu_wrapper.cpp 2025-08-14T21:37:12.0166944Z Written: gen_embedding_backward_split_weighted_device_kernel_hip.hip 2025-08-14T21:37:12.0297305Z Written: gen_embedding_backward_split_unweighted_nobag_device_kernel_hip.hip 2025-08-14T21:37:12.0297558Z Written: gen_embedding_backward_split_unweighted_device_kernel_hip.hip 2025-08-14T21:37:12.0297759Z Written: gen_embedding_backward_ssd_weighted_vbe_device_kernel.cuh 2025-08-14T21:37:12.0297953Z Written: gen_embedding_backward_split_weighted_vbe_device_kernel.cuh 2025-08-14T21:37:12.0300163Z Written: gen_embedding_backward_ssd_weighted_device_kernel.cuh 2025-08-14T21:37:12.0300453Z Written: gen_embedding_backward_split_weighted_device_kernel.cuh 2025-08-14T21:37:12.0300643Z Written: gen_embedding_backward_ssd_unweighted_nobag_device_kernel.cuh 2025-08-14T21:37:12.0300843Z Written: gen_embedding_backward_split_unweighted_nobag_device_kernel.cuh 2025-08-14T21:37:12.0301039Z Written: gen_embedding_backward_ssd_unweighted_vbe_device_kernel.cuh 2025-08-14T21:37:12.0301233Z Written: gen_embedding_backward_split_unweighted_vbe_device_kernel.cuh 2025-08-14T21:37:12.0301423Z Written: gen_embedding_backward_ssd_unweighted_device_kernel.cuh 2025-08-14T21:37:12.0301612Z Written: gen_embedding_backward_split_unweighted_device_kernel.cuh 2025-08-14T21:37:12.0301792Z Written: gen_embedding_backward_split_common_device_kernel.cuh 2025-08-14T21:37:12.0301965Z Written: gen_embedding_backward_split_grad_embedding_ops.cu 2025-08-14T21:37:12.0302145Z Written: gen_embedding_backward_dense_indice_weights_codegen_cuda.cu 2025-08-14T21:37:12.0303675Z Written: gen_embedding_backward_ssd_indice_weights_codegen_cuda.cu 2025-08-14T21:37:12.0303871Z Written: gen_embedding_backward_split_indice_weights_codegen_cuda.cu 2025-08-14T21:37:12.0304028Z Written: pt2_arg_utils_ssd.h 2025-08-14T21:37:12.0304137Z Written: pt2_arg_utils.h 2025-08-14T21:37:12.0304237Z Written: __init__.py 2025-08-14T21:37:12.0304337Z Written: lookup_args_ssd.py 2025-08-14T21:37:12.0304441Z Written: lookup_args.py 2025-08-14T21:37:12.0379036Z  2025-08-14T21:37:12.0379140Z  2025-08-14T21:37:12.0379280Z ================================================================================ 2025-08-14T21:37:12.0379454Z Running code generation script ... 2025-08-14T21:37:12.0381781Z /opt/conda/envs/py_3.10/bin/python /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/genscript/generate_embedding_optimizer.py --opensource --is_rocm 2025-08-14T21:37:12.0382122Z ================================================================================ 2025-08-14T21:37:12.0382255Z  2025-08-14T21:37:12.0955169Z [ARGS PARSE] Parsed arguments: Namespace(install_dir='.', is_fbcode=False, is_rocm=True) 2025-08-14T21:37:12.0956331Z [GENERATE OPTIMIZERS]: ['/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/genscript/generate_embedding_optimizer.py', '--opensource', '--is_rocm'] 2025-08-14T21:37:12.0957635Z Written: gen_embedding_optimizer_rowwise_adagrad_split_cuda.cu 2025-08-14T21:37:12.0958736Z Written: gen_embedding_optimizer_rowwise_adagrad_split_kernel.cu 2025-08-14T21:37:12.0959248Z Written: gen_embedding_optimizer_rowwise_adagrad_split.cpp 2025-08-14T21:37:12.0960096Z Written: gen_embedding_optimizer_rowwise_adagrad_split_device_kernel.cuh 2025-08-14T21:37:12.0960612Z Written: split_embedding_optimizer_rowwise_adagrad.py 2025-08-14T21:37:12.0961019Z Written: optimizer_args.py 2025-08-14T21:37:12.1005060Z  2025-08-14T21:37:12.1005196Z  2025-08-14T21:37:12.1005341Z ================================================================================ 2025-08-14T21:37:12.1005517Z Running code generation script ... 2025-08-14T21:37:12.1005912Z /opt/conda/envs/py_3.10/bin/python /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/genscript/generate_forward_quantized.py --opensource --is_rocm 2025-08-14T21:37:12.1006258Z ================================================================================ 2025-08-14T21:37:12.1006391Z  2025-08-14T21:37:12.1637403Z [ARGS PARSE] Parsed arguments: Namespace(install_dir='.', is_fbcode=False, is_rocm=True) 2025-08-14T21:37:12.1638458Z [GENERATE FORWARD QUANTIZED]: ['/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/genscript/generate_forward_quantized.py', '--opensource', '--is_rocm'] 2025-08-14T21:37:12.1639443Z Written: gen_embedding_forward_quantized_split_nbit_kernel_weighted_fp32_codegen_cuda.cu 2025-08-14T21:37:12.1640256Z Written: gen_embedding_forward_quantized_split_nbit_kernel_weighted_fp16_codegen_cuda.cu 2025-08-14T21:37:12.1646644Z Written: gen_embedding_forward_quantized_split_nbit_kernel_weighted_fp8_codegen_cuda.cu 2025-08-14T21:37:12.1647690Z Written: gen_embedding_forward_quantized_split_nbit_kernel_weighted_int8_codegen_cuda.cu 2025-08-14T21:37:12.1648346Z Written: gen_embedding_forward_quantized_split_nbit_kernel_weighted_int4_codegen_cuda.cu 2025-08-14T21:37:12.1648653Z Written: gen_embedding_forward_quantized_split_nbit_kernel_weighted_int2_codegen_cuda.cu 2025-08-14T21:37:12.1648903Z Written: gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_fp32_codegen_cuda.cu 2025-08-14T21:37:12.1649161Z Written: gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_fp16_codegen_cuda.cu 2025-08-14T21:37:12.1649425Z Written: gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_fp8_codegen_cuda.cu 2025-08-14T21:37:12.1649685Z Written: gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_int8_codegen_cuda.cu 2025-08-14T21:37:12.1649939Z Written: gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_int4_codegen_cuda.cu 2025-08-14T21:37:12.1650192Z Written: gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_int2_codegen_cuda.cu 2025-08-14T21:37:12.1650449Z Written: gen_embedding_forward_quantized_split_nbit_kernel_unweighted_fp32_codegen_cuda.cu 2025-08-14T21:37:12.1652116Z Written: gen_embedding_forward_quantized_split_nbit_kernel_unweighted_fp16_codegen_cuda.cu 2025-08-14T21:37:12.1652364Z Written: gen_embedding_forward_quantized_split_nbit_kernel_unweighted_fp8_codegen_cuda.cu 2025-08-14T21:37:12.1652606Z Written: gen_embedding_forward_quantized_split_nbit_kernel_unweighted_int8_codegen_cuda.cu 2025-08-14T21:37:12.1652847Z Written: gen_embedding_forward_quantized_split_nbit_kernel_unweighted_int4_codegen_cuda.cu 2025-08-14T21:37:12.1653085Z Written: gen_embedding_forward_quantized_split_nbit_kernel_unweighted_int2_codegen_cuda.cu 2025-08-14T21:37:12.1653316Z Written: gen_embedding_forward_quantized_split_nbit_host_weighted_codegen_cuda.cu 2025-08-14T21:37:12.1653546Z Written: gen_embedding_forward_quantized_split_nbit_host_unweighted_nobag_codegen_cuda.cu 2025-08-14T21:37:12.1653787Z Written: gen_embedding_forward_quantized_split_nbit_host_unweighted_codegen_cuda.cu 2025-08-14T21:37:12.1653993Z Written: gen_embedding_forward_quantized_weighted_codegen_cpu.cpp 2025-08-14T21:37:12.1654180Z Written: gen_embedding_forward_quantized_unweighted_codegen_cpu.cpp 2025-08-14T21:37:12.1683347Z  2025-08-14T21:37:12.1683990Z  2025-08-14T21:37:12.1684687Z ================================================================================ 2025-08-14T21:37:12.1684989Z Running code generation script ... 2025-08-14T21:37:12.1685569Z /opt/conda/envs/py_3.10/bin/python /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/genscript/generate_forward_split.py --opensource --is_rocm 2025-08-14T21:37:12.1686104Z ================================================================================ 2025-08-14T21:37:12.1686314Z  2025-08-14T21:37:12.3193378Z [ARGS PARSE] Parsed arguments: Namespace(install_dir='.', is_fbcode=False, is_rocm=True) 2025-08-14T21:37:12.3194434Z [GENERATE FORWARD SPLIT]: ['/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/genscript/generate_forward_split.py', '--opensource', '--is_rocm'] 2025-08-14T21:37:12.3195291Z Written: gen_embedding_forward_dense_weighted_vbe_codegen_cuda.cu 2025-08-14T21:37:12.3201369Z Written: gen_embedding_forward_dense_weighted_codegen_cuda.cu 2025-08-14T21:37:12.3201800Z Written: gen_embedding_forward_dense_unweighted_vbe_codegen_cuda.cu 2025-08-14T21:37:12.3202175Z Written: gen_embedding_forward_dense_unweighted_codegen_cuda.cu 2025-08-14T21:37:12.3202532Z Written: gen_embedding_forward_ssd_weighted_vbe_codegen_cuda.cu 2025-08-14T21:37:12.3202896Z Written: gen_embedding_forward_split_weighted_vbe_codegen_cuda.cu 2025-08-14T21:37:12.3203250Z Written: gen_embedding_forward_ssd_weighted_codegen_cuda.cu 2025-08-14T21:37:12.3203586Z Written: gen_embedding_forward_split_weighted_codegen_cuda.cu 2025-08-14T21:37:12.3203935Z Written: gen_embedding_forward_ssd_unweighted_vbe_codegen_cuda.cu 2025-08-14T21:37:12.3204510Z Written: gen_embedding_forward_split_unweighted_vbe_codegen_cuda.cu 2025-08-14T21:37:12.3204866Z Written: gen_embedding_forward_ssd_unweighted_codegen_cuda.cu 2025-08-14T21:37:12.3205211Z Written: gen_embedding_forward_split_unweighted_codegen_cuda.cu 2025-08-14T21:37:12.3205578Z Written: gen_embedding_forward_split_weighted_vbe_gwd_codegen_cuda.cu 2025-08-14T21:37:12.3205970Z Written: gen_embedding_forward_split_weighted_gwd_codegen_cuda.cu 2025-08-14T21:37:12.3206367Z Written: gen_embedding_forward_split_unweighted_vbe_gwd_codegen_cuda.cu 2025-08-14T21:37:12.3206845Z Written: gen_embedding_forward_split_unweighted_gwd_codegen_cuda.cu 2025-08-14T21:37:12.3207123Z Written: gen_embedding_forward_dense_weighted_vbe_codegen_meta.cpp 2025-08-14T21:37:12.3207406Z Written: gen_embedding_forward_dense_weighted_codegen_meta.cpp 2025-08-14T21:37:12.3207686Z Written: gen_embedding_forward_dense_unweighted_vbe_codegen_meta.cpp 2025-08-14T21:37:12.3207968Z Written: gen_embedding_forward_dense_unweighted_codegen_meta.cpp 2025-08-14T21:37:12.3208249Z Written: gen_embedding_forward_ssd_weighted_vbe_codegen_meta.cpp 2025-08-14T21:37:12.3208526Z Written: gen_embedding_forward_split_weighted_vbe_codegen_meta.cpp 2025-08-14T21:37:12.3208793Z Written: gen_embedding_forward_ssd_weighted_codegen_meta.cpp 2025-08-14T21:37:12.3211400Z Written: gen_embedding_forward_split_weighted_codegen_meta.cpp 2025-08-14T21:37:12.3211663Z Written: gen_embedding_forward_ssd_unweighted_vbe_codegen_meta.cpp 2025-08-14T21:37:12.3211927Z Written: gen_embedding_forward_split_unweighted_vbe_codegen_meta.cpp 2025-08-14T21:37:12.3212183Z Written: gen_embedding_forward_ssd_unweighted_codegen_meta.cpp 2025-08-14T21:37:12.3212431Z Written: gen_embedding_forward_split_unweighted_codegen_meta.cpp 2025-08-14T21:37:12.3212681Z Written: gen_embedding_forward_dense_weighted_vbe_kernel.cu 2025-08-14T21:37:12.3212913Z Written: gen_embedding_forward_dense_weighted_kernel.cu 2025-08-14T21:37:12.3213151Z Written: gen_embedding_forward_dense_unweighted_nobag_kernel.cu 2025-08-14T21:37:12.3213406Z Written: gen_embedding_forward_dense_unweighted_vbe_kernel.cu 2025-08-14T21:37:12.3213647Z Written: gen_embedding_forward_dense_unweighted_kernel.cu 2025-08-14T21:37:12.3213880Z Written: gen_embedding_forward_ssd_weighted_vbe_kernel.cu 2025-08-14T21:37:12.3215760Z Written: gen_embedding_forward_split_weighted_vbe_kernel.cu 2025-08-14T21:37:12.3216076Z Written: gen_embedding_forward_ssd_weighted_kernel.cu 2025-08-14T21:37:12.3216299Z Written: gen_embedding_forward_split_weighted_kernel.cu 2025-08-14T21:37:12.3216619Z Written: gen_embedding_forward_ssd_unweighted_nobag_kernel.cu 2025-08-14T21:37:12.3216820Z Written: gen_embedding_forward_split_unweighted_nobag_kernel.cu 2025-08-14T21:37:12.3217008Z Written: gen_embedding_forward_ssd_unweighted_vbe_kernel.cu 2025-08-14T21:37:12.3217196Z Written: gen_embedding_forward_split_unweighted_vbe_kernel.cu 2025-08-14T21:37:12.3217375Z Written: gen_embedding_forward_ssd_unweighted_kernel.cu 2025-08-14T21:37:12.3217548Z Written: gen_embedding_forward_split_unweighted_kernel.cu 2025-08-14T21:37:12.3217738Z Written: gen_embedding_forward_split_weighted_vbe_gwd_kernel.cu 2025-08-14T21:37:12.3217928Z Written: gen_embedding_forward_split_weighted_gwd_kernel.cu 2025-08-14T21:37:12.3219347Z Written: gen_embedding_forward_split_unweighted_vbe_gwd_kernel.cu 2025-08-14T21:37:12.3219551Z Written: gen_embedding_forward_split_unweighted_gwd_kernel.cu 2025-08-14T21:37:12.3219737Z Written: gen_embedding_forward_split_weighted_v2_kernel.cu 2025-08-14T21:37:12.3219922Z Written: gen_embedding_forward_split_unweighted_v2_kernel.cu 2025-08-14T21:37:12.3220120Z Written: gen_embedding_forward_dense_unweighted_nobag_kernel_small.cu 2025-08-14T21:37:12.3220332Z Written: gen_embedding_forward_dense_unweighted_nobag_kernel_small.cu 2025-08-14T21:37:12.3220540Z Written: gen_embedding_forward_ssd_unweighted_nobag_kernel_small.cu 2025-08-14T21:37:12.3220750Z Written: gen_embedding_forward_split_unweighted_nobag_kernel_small.cu 2025-08-14T21:37:12.3220946Z Written: gen_embedding_forward_split_pt2_cuda_wrapper.cpp 2025-08-14T21:37:12.3221183Z Written: gen_embedding_forward_split_pt2_cpu_wrapper.cpp 2025-08-14T21:37:12.3221358Z Written: gen_embedding_forward_ssd_pt2_cuda_wrapper.cpp 2025-08-14T21:37:12.3249414Z  2025-08-14T21:37:12.3249508Z  2025-08-14T21:37:12.3249741Z ================================================================================ 2025-08-14T21:37:12.3250098Z Running code generation script ... 2025-08-14T21:37:12.3250670Z /opt/conda/envs/py_3.10/bin/python /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/genscript/generate_index_select.py --opensource --is_rocm 2025-08-14T21:37:12.3251185Z ================================================================================ 2025-08-14T21:37:12.3251392Z  2025-08-14T21:37:12.4633929Z [ARGS PARSE] Parsed arguments: Namespace(install_dir='.', is_fbcode=False, is_rocm=True) 2025-08-14T21:37:12.4634929Z [INDEX SELECT GENERATOR]: ['/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/genscript/generate_index_select.py', '--opensource', '--is_rocm'] 2025-08-14T21:37:12.4635776Z Written: gen_batch_index_select_dim0_forward_codegen_cuda.cu 2025-08-14T21:37:12.4636235Z Written: gen_batch_index_select_dim0_forward_kernel.cu 2025-08-14T21:37:12.4636943Z Written: gen_batch_index_select_dim0_forward_kernel_small.cu 2025-08-14T21:37:12.4637420Z Written: gen_batch_index_select_dim0_backward_codegen_cuda.cu 2025-08-14T21:37:12.4637893Z Written: gen_batch_index_select_dim0_backward_kernel_cta.cu 2025-08-14T21:37:12.4638354Z Written: gen_batch_index_select_dim0_backward_kernel_warp.cu 2025-08-14T21:37:12.4638868Z Written: gen_embedding_backward_split_batch_index_select_device_kernel.cuh 2025-08-14T21:37:12.4639388Z Written: gen_embedding_backward_split_grad_index_select.cu 2025-08-14T21:37:12.4639961Z Written: gen_embedding_backward_split_common_device_kernel.cuh 2025-08-14T21:37:13.1902021Z /var/lib/jenkins/pytorch/fbgemm/external/hipify_torch/hipify_torch/hipify_python.py:44: FutureWarning: you are using hipify version 1. 2025-08-14T21:37:13.1902387Z hipify's version 2 behavior will become the default in a later version of torch 2025-08-14T21:37:13.1902587Z warnings.warn("""you are using hipify version 1. 2025-08-14T21:37:13.4018893Z 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'] 2025-08-14T21:37:13.4021747Z /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] 2025-08-14T21:37:13.4023443Z /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] 2025-08-14T21:37:13.4033526Z /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] 2025-08-14T21:37:13.4041114Z /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] 2025-08-14T21:37:13.4062364Z /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] 2025-08-14T21:37:13.4072123Z /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] 2025-08-14T21:37:13.4093885Z /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] 2025-08-14T21:37:13.4104533Z /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] 2025-08-14T21:37:13.4125740Z /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] 2025-08-14T21:37:13.4126347Z /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] 2025-08-14T21:37:13.4140828Z /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] 2025-08-14T21:37:13.4150140Z /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] 2025-08-14T21:37:13.4160985Z /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] 2025-08-14T21:37:13.4170380Z /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] 2025-08-14T21:37:13.4182689Z /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] 2025-08-14T21:37:13.4207671Z /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] 2025-08-14T21:37:13.4217873Z /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] 2025-08-14T21:37:13.4236817Z /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] 2025-08-14T21:37:13.4304279Z /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] 2025-08-14T21:37:13.4313333Z /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] 2025-08-14T21:37:13.4333284Z /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] 2025-08-14T21:37:13.4372157Z /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] 2025-08-14T21:37:13.4379355Z /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] 2025-08-14T21:37:13.4385449Z /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] 2025-08-14T21:37:13.4429235Z /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] 2025-08-14T21:37:13.4433675Z /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] 2025-08-14T21:37:13.4452934Z /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] 2025-08-14T21:37:13.4523785Z /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] 2025-08-14T21:37:13.4540408Z /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] 2025-08-14T21:37:13.4553435Z /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] 2025-08-14T21:37:13.4562383Z /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] 2025-08-14T21:37:13.4632775Z /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] 2025-08-14T21:37:13.4639050Z /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] 2025-08-14T21:37:13.4643037Z /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] 2025-08-14T21:37:13.4647065Z /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] 2025-08-14T21:37:13.4671619Z /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] 2025-08-14T21:37:13.4688469Z /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] 2025-08-14T21:37:13.4727878Z /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] 2025-08-14T21:37:13.4743141Z /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] 2025-08-14T21:37:13.4827437Z /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] 2025-08-14T21:37:13.4833402Z /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] 2025-08-14T21:37:13.4850348Z /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] 2025-08-14T21:37:13.4876482Z /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] 2025-08-14T21:37:13.4889211Z /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] 2025-08-14T21:37:13.4897662Z /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] 2025-08-14T21:37:13.4930321Z /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] 2025-08-14T21:37:13.4940757Z /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] 2025-08-14T21:37:13.4962589Z /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] 2025-08-14T21:37:13.4981978Z /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] 2025-08-14T21:37:13.5024753Z /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] 2025-08-14T21:37:13.5026660Z /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] 2025-08-14T21:37:13.5034751Z /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] 2025-08-14T21:37:13.5054188Z /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] 2025-08-14T21:37:13.5075472Z /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] 2025-08-14T21:37:13.5082237Z /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] 2025-08-14T21:37:13.5111976Z /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] 2025-08-14T21:37:13.5117842Z /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] 2025-08-14T21:37:13.5120008Z /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] 2025-08-14T21:37:13.5123018Z /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] 2025-08-14T21:37:13.5127763Z /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] 2025-08-14T21:37:13.5129196Z /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] 2025-08-14T21:37:13.5148433Z /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] 2025-08-14T21:37:13.5155786Z /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] 2025-08-14T21:37:13.5169210Z /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] 2025-08-14T21:37:13.5199804Z /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] 2025-08-14T21:37:13.5233582Z /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] 2025-08-14T21:37:13.5354818Z /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] 2025-08-14T21:37:13.5360845Z /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] 2025-08-14T21:37:13.5363589Z /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] 2025-08-14T21:37:13.5463906Z /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] 2025-08-14T21:37:13.5465993Z /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] 2025-08-14T21:37:13.5468184Z /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] 2025-08-14T21:37:13.5469798Z /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] 2025-08-14T21:37:13.5488837Z /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] 2025-08-14T21:37:13.5491676Z /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] 2025-08-14T21:37:13.5499863Z /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] 2025-08-14T21:37:13.5585131Z /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] 2025-08-14T21:37:13.5621207Z /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] 2025-08-14T21:37:13.5621816Z /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] 2025-08-14T21:37:13.5622523Z /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] 2025-08-14T21:37:13.5637223Z /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] 2025-08-14T21:37:13.5660652Z /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] 2025-08-14T21:37:13.5674516Z /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] 2025-08-14T21:37:13.5692562Z /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] 2025-08-14T21:37:13.5708657Z /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] 2025-08-14T21:37:13.5718297Z /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] 2025-08-14T21:37:13.5731542Z /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] 2025-08-14T21:37:13.5742732Z /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] 2025-08-14T21:37:13.5754809Z /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] 2025-08-14T21:37:13.5761555Z /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] 2025-08-14T21:37:13.5764787Z /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] 2025-08-14T21:37:13.5767385Z /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] 2025-08-14T21:37:13.5770685Z /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] 2025-08-14T21:37:13.5776980Z /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] 2025-08-14T21:37:13.5782899Z /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] 2025-08-14T21:37:13.5787934Z /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] 2025-08-14T21:37:13.5792209Z /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] 2025-08-14T21:37:13.5794679Z /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] 2025-08-14T21:37:13.5797685Z /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] 2025-08-14T21:37:13.5819301Z /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] 2025-08-14T21:37:13.5837501Z /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] 2025-08-14T21:37:13.5840744Z /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] 2025-08-14T21:37:13.5845858Z /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] 2025-08-14T21:37:13.5849608Z /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] 2025-08-14T21:37:13.5855576Z /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] 2025-08-14T21:37:13.5862906Z /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] 2025-08-14T21:37:13.5888105Z /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] 2025-08-14T21:37:13.5901689Z /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] 2025-08-14T21:37:13.5925036Z /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] 2025-08-14T21:37:13.5938997Z /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] 2025-08-14T21:37:13.5963447Z /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] 2025-08-14T21:37:13.5977648Z /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] 2025-08-14T21:37:13.5991835Z /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] 2025-08-14T21:37:13.6001246Z /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] 2025-08-14T21:37:13.6016948Z /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] 2025-08-14T21:37:13.6031623Z /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] 2025-08-14T21:37:13.6062663Z /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] 2025-08-14T21:37:13.6075055Z /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] 2025-08-14T21:37:13.6083057Z /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] 2025-08-14T21:37:13.6092112Z /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] 2025-08-14T21:37:13.6122416Z /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] 2025-08-14T21:37:13.6128456Z /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] 2025-08-14T21:37:13.6143929Z /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] 2025-08-14T21:37:13.6149333Z /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] 2025-08-14T21:37:13.6155061Z /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] 2025-08-14T21:37:13.6163992Z /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] 2025-08-14T21:37:13.6177056Z /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] 2025-08-14T21:37:13.6189705Z /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] 2025-08-14T21:37:13.6200760Z /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] 2025-08-14T21:37:13.6224173Z /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] 2025-08-14T21:37:13.6247557Z /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] 2025-08-14T21:37:13.6263618Z /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] 2025-08-14T21:37:13.6284629Z /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] 2025-08-14T21:37:13.6285638Z /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] 2025-08-14T21:37:13.6289946Z /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] 2025-08-14T21:37:13.6308312Z /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] 2025-08-14T21:37:13.6342168Z /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] 2025-08-14T21:37:13.6344024Z /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] 2025-08-14T21:37:13.6345978Z /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] 2025-08-14T21:37:13.6348015Z /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] 2025-08-14T21:37:13.6350000Z /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] 2025-08-14T21:37:13.6351846Z /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] 2025-08-14T21:37:13.6353613Z /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] 2025-08-14T21:37:13.6355441Z /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] 2025-08-14T21:37:13.6363058Z /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] 2025-08-14T21:37:13.6364024Z /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] 2025-08-14T21:37:13.6364973Z /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] 2025-08-14T21:37:13.6390549Z /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] 2025-08-14T21:37:13.6392678Z /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] 2025-08-14T21:37:13.6394392Z /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] 2025-08-14T21:37:13.6396218Z /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] 2025-08-14T21:37:13.6398404Z /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] 2025-08-14T21:37:13.6400165Z /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] 2025-08-14T21:37:13.6401933Z /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] 2025-08-14T21:37:13.6403905Z /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] 2025-08-14T21:37:13.6405947Z /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] 2025-08-14T21:37:13.6408021Z /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] 2025-08-14T21:37:13.6409902Z /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] 2025-08-14T21:37:13.6411799Z /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] 2025-08-14T21:37:13.6413786Z /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] 2025-08-14T21:37:13.6418020Z /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] 2025-08-14T21:37:13.6418971Z /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] 2025-08-14T21:37:13.6419924Z /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] 2025-08-14T21:37:13.6421513Z /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] 2025-08-14T21:37:13.6423297Z /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] 2025-08-14T21:37:13.6425150Z /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] 2025-08-14T21:37:13.6428488Z /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] 2025-08-14T21:37:13.6429524Z /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] 2025-08-14T21:37:13.6431250Z /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] 2025-08-14T21:37:13.6433132Z /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] 2025-08-14T21:37:13.6435778Z /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] 2025-08-14T21:37:13.6437015Z /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] 2025-08-14T21:37:13.6439096Z /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] 2025-08-14T21:37:13.6441078Z /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] 2025-08-14T21:37:13.6442939Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_256_128_128_2_1_1_10_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_256_128_128_2_1_1_10_f.hip [ok] 2025-08-14T21:37:13.6444769Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_256_64_128_2_1_1_9_f.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_256_64_128_2_1_1_9_f.hip [ok] 2025-08-14T21:37:13.6446818Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_256_128_128_2_1_1_9_t.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_256_128_128_2_1_1_9_t.hip [ok] 2025-08-14T21:37:13.6449028Z /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] 2025-08-14T21:37:13.6450802Z /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] 2025-08-14T21:37:13.6454266Z /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] 2025-08-14T21:37:13.6455231Z /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] 2025-08-14T21:37:13.6470911Z /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] 2025-08-14T21:37:13.6471785Z /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] 2025-08-14T21:37:13.6473565Z /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] 2025-08-14T21:37:13.6474913Z /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] 2025-08-14T21:37:13.6476747Z /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] 2025-08-14T21:37:13.6478439Z /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] 2025-08-14T21:37:13.6480143Z /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] 2025-08-14T21:37:13.6481662Z /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] 2025-08-14T21:37:13.6483358Z /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] 2025-08-14T21:37:13.6485006Z /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] 2025-08-14T21:37:13.6486778Z /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] 2025-08-14T21:37:13.6488591Z /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] 2025-08-14T21:37:13.6490051Z /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] 2025-08-14T21:37:13.6492607Z /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] 2025-08-14T21:37:13.6493394Z /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] 2025-08-14T21:37:13.6494961Z /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] 2025-08-14T21:37:13.6496721Z /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] 2025-08-14T21:37:13.6498329Z /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] 2025-08-14T21:37:13.6500046Z /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] 2025-08-14T21:37:13.6501465Z /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] 2025-08-14T21:37:13.6503078Z /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] 2025-08-14T21:37:13.6504715Z /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] 2025-08-14T21:37:13.6506502Z /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] 2025-08-14T21:37:13.6508890Z /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] 2025-08-14T21:37:13.6509676Z /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] 2025-08-14T21:37:13.6511235Z /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] 2025-08-14T21:37:13.6512882Z /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] 2025-08-14T21:37:13.6514465Z /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] 2025-08-14T21:37:13.6516157Z /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] 2025-08-14T21:37:13.6517798Z /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] 2025-08-14T21:37:13.6519408Z /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] 2025-08-14T21:37:13.6521081Z /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] 2025-08-14T21:37:13.6522821Z /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] 2025-08-14T21:37:13.6524389Z /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] 2025-08-14T21:37:13.6526039Z /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] 2025-08-14T21:37:13.6527682Z /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] 2025-08-14T21:37:13.6543365Z /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] 2025-08-14T21:37:13.6546696Z /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] 2025-08-14T21:37:13.6547514Z /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] 2025-08-14T21:37:13.6548295Z /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] 2025-08-14T21:37:13.6558761Z /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] 2025-08-14T21:37:13.6560489Z /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] 2025-08-14T21:37:13.6561676Z /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] 2025-08-14T21:37:13.6563595Z /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] 2025-08-14T21:37:13.6565103Z /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] 2025-08-14T21:37:13.6566823Z /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] 2025-08-14T21:37:13.6568743Z /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] 2025-08-14T21:37:13.6585925Z /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] 2025-08-14T21:37:13.6587012Z /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] 2025-08-14T21:37:13.6587942Z /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] 2025-08-14T21:37:13.6589181Z /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] 2025-08-14T21:37:13.6617295Z /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] 2025-08-14T21:37:13.6619321Z /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] 2025-08-14T21:37:13.6621579Z /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] 2025-08-14T21:37:13.6623923Z /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] 2025-08-14T21:37:13.6651222Z /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] 2025-08-14T21:37:13.6654083Z /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] 2025-08-14T21:37:13.6660006Z /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] 2025-08-14T21:37:13.6662321Z /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] 2025-08-14T21:37:13.6664631Z /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] 2025-08-14T21:37:13.6667116Z /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] 2025-08-14T21:37:13.6669386Z /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] 2025-08-14T21:37:13.6697046Z /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] 2025-08-14T21:37:13.6699947Z /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] 2025-08-14T21:37:13.6700959Z /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] 2025-08-14T21:37:13.6703573Z /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] 2025-08-14T21:37:13.6705962Z /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] 2025-08-14T21:37:13.6708402Z /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] 2025-08-14T21:37:13.6710715Z /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] 2025-08-14T21:37:13.6712956Z /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] 2025-08-14T21:37:13.6715303Z /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] 2025-08-14T21:37:13.6717492Z /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] 2025-08-14T21:37:13.6721854Z /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] 2025-08-14T21:37:13.6722847Z /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] 2025-08-14T21:37:13.6724690Z /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] 2025-08-14T21:37:13.6751252Z /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] 2025-08-14T21:37:13.6753555Z /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] 2025-08-14T21:37:13.6755929Z /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] 2025-08-14T21:37:13.6758546Z /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] 2025-08-14T21:37:13.6760716Z /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] 2025-08-14T21:37:13.6763260Z /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] 2025-08-14T21:37:13.6765373Z /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] 2025-08-14T21:37:13.6768001Z /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] 2025-08-14T21:37:13.6770091Z /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] 2025-08-14T21:37:13.6772486Z /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] 2025-08-14T21:37:13.6774761Z /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] 2025-08-14T21:37:13.6777209Z /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] 2025-08-14T21:37:13.6779542Z /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] 2025-08-14T21:37:13.6807395Z /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] 2025-08-14T21:37:13.6809659Z /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] 2025-08-14T21:37:13.6811738Z /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] 2025-08-14T21:37:13.6813949Z /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] 2025-08-14T21:37:13.6816279Z /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] 2025-08-14T21:37:13.6819000Z /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] 2025-08-14T21:37:13.6821113Z /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] 2025-08-14T21:37:13.6823593Z /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] 2025-08-14T21:37:13.6826385Z /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] 2025-08-14T21:37:13.6828425Z /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] 2025-08-14T21:37:13.6830679Z /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] 2025-08-14T21:37:13.6832858Z /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] 2025-08-14T21:37:13.6835148Z /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] 2025-08-14T21:37:13.6858661Z /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] 2025-08-14T21:37:13.6859560Z /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] 2025-08-14T21:37:13.6861238Z /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] 2025-08-14T21:37:13.6867735Z /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] 2025-08-14T21:37:13.6892700Z /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] 2025-08-14T21:37:13.6893667Z /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] 2025-08-14T21:37:13.6894569Z /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] 2025-08-14T21:37:13.6895464Z /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] 2025-08-14T21:37:13.6898350Z /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] 2025-08-14T21:37:13.6899967Z /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] 2025-08-14T21:37:13.6901455Z /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] 2025-08-14T21:37:13.6902936Z /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] 2025-08-14T21:37:13.6904374Z /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] 2025-08-14T21:37:13.6905962Z /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] 2025-08-14T21:37:13.6912665Z /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] 2025-08-14T21:37:13.6913968Z /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] 2025-08-14T21:37:13.6915243Z /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] 2025-08-14T21:37:13.6916093Z /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] 2025-08-14T21:37:13.6995379Z /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] 2025-08-14T21:37:13.7009452Z /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] 2025-08-14T21:37:13.7040740Z /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] 2025-08-14T21:37:13.7043952Z /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] 2025-08-14T21:37:13.7046798Z /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] 2025-08-14T21:37:13.7049770Z /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] 2025-08-14T21:37:13.7053695Z /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] 2025-08-14T21:37:13.7055279Z /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] 2025-08-14T21:37:13.7058327Z /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] 2025-08-14T21:37:13.7070308Z /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] 2025-08-14T21:37:13.7073120Z /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] 2025-08-14T21:37:13.7076101Z /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] 2025-08-14T21:37:13.7078918Z /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] 2025-08-14T21:37:13.7082154Z /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] 2025-08-14T21:37:13.7104725Z /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] 2025-08-14T21:37:13.7106136Z /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] 2025-08-14T21:37:13.7109648Z /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] 2025-08-14T21:37:13.7111211Z /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] 2025-08-14T21:37:13.7112764Z /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] 2025-08-14T21:37:13.7114472Z /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] 2025-08-14T21:37:13.7116219Z /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] 2025-08-14T21:37:13.7119421Z /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] 2025-08-14T21:37:13.7140025Z /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] 2025-08-14T21:37:13.7141126Z /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] 2025-08-14T21:37:13.7142922Z /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] 2025-08-14T21:37:13.7151076Z /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] 2025-08-14T21:37:13.7160475Z /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] 2025-08-14T21:37:13.7171863Z /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] 2025-08-14T21:37:13.7182921Z /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] 2025-08-14T21:37:13.7190321Z /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] 2025-08-14T21:37:13.7198920Z /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] 2025-08-14T21:37:13.7205005Z /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] 2025-08-14T21:37:13.7210507Z /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] 2025-08-14T21:37:13.7229508Z /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] 2025-08-14T21:37:13.7242614Z /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] 2025-08-14T21:37:13.7244674Z /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] 2025-08-14T21:37:13.7252552Z /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] 2025-08-14T21:37:13.7256864Z /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] 2025-08-14T21:37:13.7265045Z /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] 2025-08-14T21:37:13.7266551Z /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] 2025-08-14T21:37:13.7291613Z /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] 2025-08-14T21:37:13.7343710Z /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] 2025-08-14T21:37:13.7346599Z /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] 2025-08-14T21:37:13.7360753Z /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] 2025-08-14T21:37:13.7390175Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/dispatch_macros.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/dispatch_macros_hip.h [ok] 2025-08-14T21:37:13.7396338Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/find_qparams.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/find_qparams_hip.cuh [ok] 2025-08-14T21:37:13.7400812Z /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] 2025-08-14T21:37:13.7404957Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/shared_memory.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/shared_memory_hip.cuh [ok] 2025-08-14T21:37:13.7425740Z /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] 2025-08-14T21:37:13.7450703Z /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] 2025-08-14T21:37:13.7457537Z /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] 2025-08-14T21:37:13.7500437Z /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] 2025-08-14T21:37:13.7505538Z /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] 2025-08-14T21:37:13.7510805Z /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] 2025-08-14T21:37:13.7514779Z /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] 2025-08-14T21:37:13.7520365Z /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] 2025-08-14T21:37:13.7527686Z /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] 2025-08-14T21:37:13.7565471Z /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] 2025-08-14T21:37:13.7580490Z /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] 2025-08-14T21:37:13.7583597Z /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] 2025-08-14T21:37:13.7603631Z /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] 2025-08-14T21:37:13.7654542Z /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] 2025-08-14T21:37:13.7670698Z /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] 2025-08-14T21:37:13.7680618Z /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] 2025-08-14T21:37:13.7725937Z /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] 2025-08-14T21:37:13.8144087Z /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] 2025-08-14T21:37:13.8151726Z /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] 2025-08-14T21:37:13.8155461Z /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] 2025-08-14T21:37:14.0187642Z /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] 2025-08-14T21:37:14.0219080Z /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] 2025-08-14T21:37:14.0225573Z /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] 2025-08-14T21:37:14.0299530Z /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] 2025-08-14T21:37:14.0306381Z /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] 2025-08-14T21:37:14.0342993Z /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] 2025-08-14T21:37:14.0352208Z /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] 2025-08-14T21:37:14.0385879Z /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] 2025-08-14T21:37:14.0392821Z /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] 2025-08-14T21:37:14.0393739Z /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] 2025-08-14T21:37:14.2611766Z /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] 2025-08-14T21:37:14.2971751Z /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] 2025-08-14T21:37:14.2978851Z /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] 2025-08-14T21:37:14.3376739Z /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] 2025-08-14T21:37:14.5314301Z /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] 2025-08-14T21:37:14.5335314Z /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] 2025-08-14T21:37:14.5421791Z /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] 2025-08-14T21:37:14.5423250Z /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] 2025-08-14T21:37:14.5450282Z /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] 2025-08-14T21:37:14.5533787Z /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] 2025-08-14T21:37:14.5591083Z /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] 2025-08-14T21:37:14.5601096Z /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] 2025-08-14T21:37:14.5608782Z /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] 2025-08-14T21:37:14.5680410Z /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] 2025-08-14T21:37:14.6063571Z /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] 2025-08-14T21:37:14.6137457Z /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] 2025-08-14T21:37:14.6553227Z /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] 2025-08-14T21:37:14.6610645Z /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] 2025-08-14T21:37:14.6759455Z /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] 2025-08-14T21:37:14.7386176Z /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] 2025-08-14T21:37:14.7388442Z /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] 2025-08-14T21:37:14.9665907Z /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] 2025-08-14T21:37:14.9723378Z /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] 2025-08-14T21:37:14.9784770Z /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] 2025-08-14T21:37:14.9801946Z /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] 2025-08-14T21:37:14.9844508Z /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] 2025-08-14T21:37:15.0281181Z /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] 2025-08-14T21:37:15.0400778Z /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] 2025-08-14T21:37:15.0906626Z /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] 2025-08-14T21:37:15.0990528Z /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] 2025-08-14T21:37:15.1447473Z /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] 2025-08-14T21:37:15.1509110Z /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] 2025-08-14T21:37:15.1515596Z /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] 2025-08-14T21:37:15.1521714Z /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] 2025-08-14T21:37:15.1588891Z /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] 2025-08-14T21:37:15.1596014Z /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] 2025-08-14T21:37:15.2100783Z /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] 2025-08-14T21:37:15.2687373Z /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] 2025-08-14T21:37:15.2693207Z /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] 2025-08-14T21:37:15.2730879Z /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] 2025-08-14T21:37:15.2795750Z /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] 2025-08-14T21:37:15.2809300Z /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] 2025-08-14T21:37:15.2866152Z /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] 2025-08-14T21:37:15.2872673Z /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] 2025-08-14T21:37:15.2953981Z /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] 2025-08-14T21:37:15.2978966Z /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] 2025-08-14T21:37:15.3055444Z /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] 2025-08-14T21:37:15.3062173Z /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] 2025-08-14T21:37:15.3071532Z /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] 2025-08-14T21:37:15.3244096Z /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] 2025-08-14T21:37:15.3259209Z /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] 2025-08-14T21:37:15.3265579Z /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] 2025-08-14T21:37:15.3270114Z /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] 2025-08-14T21:37:15.4307124Z /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] 2025-08-14T21:37:15.4314817Z /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] 2025-08-14T21:37:15.4370279Z /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] 2025-08-14T21:37:15.4770266Z /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] 2025-08-14T21:37:15.4970865Z /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] 2025-08-14T21:37:15.5761681Z /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] 2025-08-14T21:37:15.5767812Z /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] 2025-08-14T21:37:15.5783278Z /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] 2025-08-14T21:37:15.5792937Z /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] 2025-08-14T21:37:15.6213519Z /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] 2025-08-14T21:37:15.7509698Z /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] 2025-08-14T21:37:15.7559845Z /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] 2025-08-14T21:37:15.7575969Z /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] 2025-08-14T21:37:15.7628133Z /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] 2025-08-14T21:37:15.7633833Z /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] 2025-08-14T21:37:15.7649932Z /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] 2025-08-14T21:37:15.8424268Z /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] 2025-08-14T21:37:15.8429950Z /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] 2025-08-14T21:37:15.8432484Z /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] 2025-08-14T21:37:15.8529041Z /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] 2025-08-14T21:37:15.9032156Z /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] 2025-08-14T21:37:16.6161848Z /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] 2025-08-14T21:37:16.6210417Z /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] 2025-08-14T21:37:16.6764042Z /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] 2025-08-14T21:37:16.7078547Z /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] 2025-08-14T21:37:16.7084221Z /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] 2025-08-14T21:37:16.7141924Z /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] 2025-08-14T21:37:16.7149504Z /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] 2025-08-14T21:37:16.7160269Z /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] 2025-08-14T21:37:16.7218385Z /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] 2025-08-14T21:37:16.7273967Z /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] 2025-08-14T21:37:16.7282157Z /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] 2025-08-14T21:37:16.7288508Z /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] 2025-08-14T21:37:16.7289361Z /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] 2025-08-14T21:37:16.7317718Z /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] 2025-08-14T21:37:16.7325957Z /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] 2025-08-14T21:37:16.7411271Z /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] 2025-08-14T21:37:16.8827803Z /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] 2025-08-14T21:37:16.8832682Z /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] 2025-08-14T21:37:16.8839893Z /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] 2025-08-14T21:37:16.8847538Z /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] 2025-08-14T21:37:16.9232169Z /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] 2025-08-14T21:37:16.9625837Z /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] 2025-08-14T21:37:17.1543956Z /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] 2025-08-14T21:37:17.1565774Z /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] 2025-08-14T21:37:17.1572901Z /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] 2025-08-14T21:37:17.1579876Z /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] 2025-08-14T21:37:17.1587134Z /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] 2025-08-14T21:37:17.3998446Z /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] 2025-08-14T21:37:17.4088530Z /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] 2025-08-14T21:37:17.4450909Z /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] 2025-08-14T21:37:17.4507925Z /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] 2025-08-14T21:37:17.5108484Z /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] 2025-08-14T21:37:17.5984527Z /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] 2025-08-14T21:37:17.6366682Z /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] 2025-08-14T21:37:17.6413541Z /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] 2025-08-14T21:37:17.6420822Z /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] 2025-08-14T21:37:17.6515901Z /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] 2025-08-14T21:37:17.7266002Z /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] 2025-08-14T21:37:17.7270889Z /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] 2025-08-14T21:37:17.7283139Z /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] 2025-08-14T21:37:17.7293509Z /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] 2025-08-14T21:37:17.7366660Z /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] 2025-08-14T21:37:17.7938995Z /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] 2025-08-14T21:37:17.7994347Z /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] 2025-08-14T21:37:17.8009252Z /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] 2025-08-14T21:37:17.8016239Z /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] 2025-08-14T21:37:17.8021540Z /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] 2025-08-14T21:37:17.8081269Z /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] 2025-08-14T21:37:17.8635619Z /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] 2025-08-14T21:37:17.8638863Z /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] 2025-08-14T21:37:17.9170450Z /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] 2025-08-14T21:37:17.9216310Z /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] 2025-08-14T21:37:17.9978900Z /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] 2025-08-14T21:37:18.0032870Z /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] 2025-08-14T21:37:18.0506036Z /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] 2025-08-14T21:37:18.0512714Z /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] 2025-08-14T21:37:18.0557946Z /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] 2025-08-14T21:37:18.0954985Z /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] 2025-08-14T21:37:18.1012233Z /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] 2025-08-14T21:37:18.1019223Z /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] 2025-08-14T21:37:18.1078555Z /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] 2025-08-14T21:37:18.1128612Z /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] 2025-08-14T21:37:18.1139352Z /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] 2025-08-14T21:37:18.1241029Z /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] 2025-08-14T21:37:18.1306712Z /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] 2025-08-14T21:37:18.1407866Z /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] 2025-08-14T21:37:18.1433272Z /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] 2025-08-14T21:37:18.1488811Z /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] 2025-08-14T21:37:18.1489833Z /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] 2025-08-14T21:37:18.1496531Z /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] 2025-08-14T21:37:18.1497409Z /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] 2025-08-14T21:37:18.1506382Z /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] 2025-08-14T21:37:18.1562615Z /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] 2025-08-14T21:37:18.2131304Z /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] 2025-08-14T21:37:18.2199379Z /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] 2025-08-14T21:37:18.2205921Z /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] 2025-08-14T21:37:18.2272032Z /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] 2025-08-14T21:37:18.2284927Z /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] 2025-08-14T21:37:18.2285887Z /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] 2025-08-14T21:37:18.2795530Z /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] 2025-08-14T21:37:18.2801104Z /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] 2025-08-14T21:37:18.3016707Z /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] 2025-08-14T21:37:18.3378198Z /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] 2025-08-14T21:37:18.3581667Z /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] 2025-08-14T21:37:18.3645919Z /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] 2025-08-14T21:37:18.3698584Z /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] 2025-08-14T21:37:18.3761484Z /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] 2025-08-14T21:37:18.3768427Z /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] 2025-08-14T21:37:18.6139047Z /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] 2025-08-14T21:37:18.6215823Z /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] 2025-08-14T21:37:18.6276208Z /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] 2025-08-14T21:37:18.6755554Z /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] 2025-08-14T21:37:18.6804677Z /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] 2025-08-14T21:37:18.6815418Z /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] 2025-08-14T21:37:18.6867350Z /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] 2025-08-14T21:37:18.6917416Z /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] 2025-08-14T21:37:18.6941363Z /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] 2025-08-14T21:37:18.7006731Z /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] 2025-08-14T21:37:18.7008018Z /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] 2025-08-14T21:37:18.7135154Z /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] 2025-08-14T21:37:18.7324347Z /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] 2025-08-14T21:37:18.7421754Z /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] 2025-08-14T21:37:18.7974530Z /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] 2025-08-14T21:37:18.8030800Z /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] 2025-08-14T21:37:18.8048175Z /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] 2025-08-14T21:37:18.8064823Z /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] 2025-08-14T21:37:18.8071799Z /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] 2025-08-14T21:37:18.8190940Z /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] 2025-08-14T21:37:18.8764489Z /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] 2025-08-14T21:37:18.8776904Z /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] 2025-08-14T21:37:18.8831401Z /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] 2025-08-14T21:37:18.8841945Z /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] 2025-08-14T21:37:18.8852016Z /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] 2025-08-14T21:37:18.8918884Z /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] 2025-08-14T21:37:18.8941057Z /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] 2025-08-14T21:37:18.9021194Z /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] 2025-08-14T21:37:18.9029979Z /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] 2025-08-14T21:37:18.9040756Z /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] 2025-08-14T21:37:18.9566854Z /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] 2025-08-14T21:37:18.9631528Z /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] 2025-08-14T21:37:19.1814747Z /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] 2025-08-14T21:37:19.1893921Z /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] 2025-08-14T21:37:19.1951904Z /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] 2025-08-14T21:37:19.2017203Z /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] 2025-08-14T21:37:19.2081519Z /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] 2025-08-14T21:37:19.2175900Z /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] 2025-08-14T21:37:19.2389527Z /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] 2025-08-14T21:37:19.2398854Z /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] 2025-08-14T21:37:19.3990349Z /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] 2025-08-14T21:37:19.3996506Z /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] 2025-08-14T21:37:19.4078938Z /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] 2025-08-14T21:37:19.4087550Z /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] 2025-08-14T21:37:19.4112560Z /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] 2025-08-14T21:37:19.4589887Z /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] 2025-08-14T21:37:19.4958681Z /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] 2025-08-14T21:37:19.5262136Z /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] 2025-08-14T21:37:19.5270540Z /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] 2025-08-14T21:37:19.5331521Z /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] 2025-08-14T21:37:19.5338456Z /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] 2025-08-14T21:37:19.5340843Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/pt2_arg_utils.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/pt2_arg_utils.h [skipped, no changes] 2025-08-14T21:37:19.5358547Z /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] 2025-08-14T21:37:19.7687868Z /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] 2025-08-14T21:37:19.7749964Z /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] 2025-08-14T21:37:19.7810082Z /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] 2025-08-14T21:37:19.7819378Z /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] 2025-08-14T21:37:19.7912486Z /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] 2025-08-14T21:37:19.7921725Z /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] 2025-08-14T21:37:19.8509348Z /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] 2025-08-14T21:37:19.8603696Z /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] 2025-08-14T21:37:19.8672238Z /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] 2025-08-14T21:37:19.8680423Z /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] 2025-08-14T21:37:19.9036859Z /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] 2025-08-14T21:37:19.9051048Z /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] 2025-08-14T21:37:19.9341590Z /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] 2025-08-14T21:37:19.9347425Z /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] 2025-08-14T21:37:19.9439524Z /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] 2025-08-14T21:37:19.9479862Z /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] 2025-08-14T21:37:19.9531853Z /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] 2025-08-14T21:37:20.0158367Z /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] 2025-08-14T21:37:20.0436691Z /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] 2025-08-14T21:37:20.2142693Z /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] 2025-08-14T21:37:20.2195375Z /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] 2025-08-14T21:37:20.2838721Z /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] 2025-08-14T21:37:20.2926234Z /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] 2025-08-14T21:37:20.4307009Z /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] 2025-08-14T21:37:20.4875357Z /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] 2025-08-14T21:37:20.4883609Z /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] 2025-08-14T21:37:20.4890623Z /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] 2025-08-14T21:37:20.4898800Z /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] 2025-08-14T21:37:20.4965746Z /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] 2025-08-14T21:37:20.5155510Z /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] 2025-08-14T21:37:20.5605439Z /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] 2025-08-14T21:37:20.5613237Z /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] 2025-08-14T21:37:20.5665762Z /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] 2025-08-14T21:37:20.5737827Z /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] 2025-08-14T21:37:20.5791360Z /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] 2025-08-14T21:37:20.6378256Z /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] 2025-08-14T21:37:20.6413154Z /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] 2025-08-14T21:37:20.6469095Z /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] 2025-08-14T21:37:20.6534356Z /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] 2025-08-14T21:37:20.6609624Z /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] 2025-08-14T21:37:20.7171362Z /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] 2025-08-14T21:37:20.7277110Z /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] 2025-08-14T21:37:20.7589953Z /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] 2025-08-14T21:37:20.7675121Z /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] 2025-08-14T21:37:20.7706962Z /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] 2025-08-14T21:37:20.7713837Z /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] 2025-08-14T21:37:20.7774820Z /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] 2025-08-14T21:37:20.7775591Z /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] 2025-08-14T21:37:20.7851202Z /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] 2025-08-14T21:37:20.7918926Z /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] 2025-08-14T21:37:20.7974330Z /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] 2025-08-14T21:37:20.8075568Z /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] 2025-08-14T21:37:20.8084659Z /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] 2025-08-14T21:37:20.8889530Z /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] 2025-08-14T21:37:20.8934868Z /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] 2025-08-14T21:37:20.9414796Z /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] 2025-08-14T21:37:20.9476958Z /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] 2025-08-14T21:37:20.9993407Z /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] 2025-08-14T21:37:21.0345592Z /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] 2025-08-14T21:37:21.0360148Z /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] 2025-08-14T21:37:21.0361599Z /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] 2025-08-14T21:37:21.0478014Z /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] 2025-08-14T21:37:21.0994372Z /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] 2025-08-14T21:37:21.0996815Z /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] 2025-08-14T21:37:21.1010670Z /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] 2025-08-14T21:37:21.1027344Z /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] 2025-08-14T21:37:21.1338846Z /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] 2025-08-14T21:37:21.1346163Z /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] 2025-08-14T21:37:21.1361178Z /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] 2025-08-14T21:37:21.1690206Z /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] 2025-08-14T21:37:21.1691213Z /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] 2025-08-14T21:37:21.1692246Z /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] 2025-08-14T21:37:21.1747882Z /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] 2025-08-14T21:37:21.2461951Z /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] 2025-08-14T21:37:21.2512152Z /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] 2025-08-14T21:37:21.2522773Z /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] 2025-08-14T21:37:21.2540880Z /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] 2025-08-14T21:37:21.2550812Z /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] 2025-08-14T21:37:21.2557862Z /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] 2025-08-14T21:37:21.3048753Z /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] 2025-08-14T21:37:21.3334364Z /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] 2025-08-14T21:37:21.3394658Z /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] 2025-08-14T21:37:21.3403802Z /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] 2025-08-14T21:37:21.3779379Z /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] 2025-08-14T21:37:21.3792681Z /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] 2025-08-14T21:37:21.4418857Z /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] 2025-08-14T21:37:21.4899314Z /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] 2025-08-14T21:37:21.5448978Z /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] 2025-08-14T21:37:21.5755384Z /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] 2025-08-14T21:37:21.8251415Z /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] 2025-08-14T21:37:21.9574064Z /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] 2025-08-14T21:37:21.9981201Z /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] 2025-08-14T21:37:22.0032128Z /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] 2025-08-14T21:37:22.0038935Z /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] 2025-08-14T21:37:22.0395790Z /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] 2025-08-14T21:37:22.0426107Z /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] 2025-08-14T21:37:22.0489653Z /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] 2025-08-14T21:37:22.0497882Z /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] 2025-08-14T21:37:22.0555447Z /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] 2025-08-14T21:37:22.0607348Z /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] 2025-08-14T21:37:22.0618476Z /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] 2025-08-14T21:37:22.0700244Z /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] 2025-08-14T21:37:22.1240839Z /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] 2025-08-14T21:37:22.1750695Z /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] 2025-08-14T21:37:22.1756854Z /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] 2025-08-14T21:37:22.1810363Z /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] 2025-08-14T21:37:22.1832847Z /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] 2025-08-14T21:37:22.1896762Z /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] 2025-08-14T21:37:22.2271105Z /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] 2025-08-14T21:37:22.2279360Z /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] 2025-08-14T21:37:22.2572375Z /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] 2025-08-14T21:37:22.2573367Z /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] 2025-08-14T21:37:22.2630221Z /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] 2025-08-14T21:37:22.2713577Z /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] 2025-08-14T21:37:22.2770794Z /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] 2025-08-14T21:37:22.2864857Z /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] 2025-08-14T21:37:22.2916121Z /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] 2025-08-14T21:37:22.2925836Z /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] 2025-08-14T21:37:22.2928996Z /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] 2025-08-14T21:37:22.2980961Z /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] 2025-08-14T21:37:22.3003327Z /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] 2025-08-14T21:37:22.3022336Z /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] 2025-08-14T21:37:22.3086880Z /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] 2025-08-14T21:37:22.3147244Z /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] 2025-08-14T21:37:22.3214975Z /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] 2025-08-14T21:37:22.3283375Z /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] 2025-08-14T21:37:22.3332789Z /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] 2025-08-14T21:37:22.3410439Z /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] 2025-08-14T21:37:22.3567402Z /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] 2025-08-14T21:37:22.3568411Z /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] 2025-08-14T21:37:22.3871928Z /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] 2025-08-14T21:37:22.4145468Z /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] 2025-08-14T21:37:22.4152581Z /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] 2025-08-14T21:37:22.4158552Z /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] 2025-08-14T21:37:22.4248883Z /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] 2025-08-14T21:37:22.4749827Z /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] 2025-08-14T21:37:22.4750807Z /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] 2025-08-14T21:37:22.5269277Z /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] 2025-08-14T21:37:22.5301556Z /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] 2025-08-14T21:37:22.5747202Z /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] 2025-08-14T21:37:22.5753909Z /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] 2025-08-14T21:37:22.5927778Z /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] 2025-08-14T21:37:22.5929062Z /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] 2025-08-14T21:37:22.5967417Z /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] 2025-08-14T21:37:22.6011425Z /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] 2025-08-14T21:37:22.6018827Z /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] 2025-08-14T21:37:22.6080885Z /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] 2025-08-14T21:37:22.6126717Z /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] 2025-08-14T21:37:22.6134591Z /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] 2025-08-14T21:37:22.6727533Z /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] 2025-08-14T21:37:22.6737087Z /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] 2025-08-14T21:37:22.7080328Z /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] 2025-08-14T21:37:22.7089339Z /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] 2025-08-14T21:37:22.7149767Z /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] 2025-08-14T21:37:22.8270283Z /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] 2025-08-14T21:37:22.8664776Z /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] 2025-08-14T21:37:22.8726298Z /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] 2025-08-14T21:37:22.8743650Z /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] 2025-08-14T21:37:22.8744976Z /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] 2025-08-14T21:37:22.8843618Z /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] 2025-08-14T21:37:22.8851161Z /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] 2025-08-14T21:37:22.9631066Z /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] 2025-08-14T21:37:22.9704796Z /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] 2025-08-14T21:37:22.9705767Z /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] 2025-08-14T21:37:23.0100728Z /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] 2025-08-14T21:37:23.0147418Z /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] 2025-08-14T21:37:23.0191007Z /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] 2025-08-14T21:37:23.0191968Z /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] 2025-08-14T21:37:23.0238553Z /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] 2025-08-14T21:37:23.0248628Z /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] 2025-08-14T21:37:23.0286565Z /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] 2025-08-14T21:37:23.0614675Z /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] 2025-08-14T21:37:23.0634139Z /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] 2025-08-14T21:37:23.0692475Z /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] 2025-08-14T21:37:23.1307444Z /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] 2025-08-14T21:37:23.1360686Z /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] 2025-08-14T21:37:23.1383255Z /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] 2025-08-14T21:37:23.1392145Z /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] 2025-08-14T21:37:23.1469319Z /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] 2025-08-14T21:37:23.2035325Z /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] 2025-08-14T21:37:23.2095655Z /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] 2025-08-14T21:37:23.2440511Z /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] 2025-08-14T21:37:23.2498101Z /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] 2025-08-14T21:37:23.2505594Z /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] 2025-08-14T21:37:23.2663436Z /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] 2025-08-14T21:37:23.3455039Z /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] 2025-08-14T21:37:23.4152397Z /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] 2025-08-14T21:37:23.4711674Z /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] 2025-08-14T21:37:23.4754440Z /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] 2025-08-14T21:37:23.5348526Z /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] 2025-08-14T21:37:23.5353972Z /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] 2025-08-14T21:37:23.5459902Z /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] 2025-08-14T21:37:23.5550555Z /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] 2025-08-14T21:37:23.5610594Z /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] 2025-08-14T21:37:23.5617595Z /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] 2025-08-14T21:37:23.5669229Z /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] 2025-08-14T21:37:23.5678636Z /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] 2025-08-14T21:37:23.5685867Z /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] 2025-08-14T21:37:23.5693391Z /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] 2025-08-14T21:37:23.5758953Z /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] 2025-08-14T21:37:23.5770618Z /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] 2025-08-14T21:37:23.5775114Z /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] 2025-08-14T21:37:23.5780636Z /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] 2025-08-14T21:37:23.5825010Z /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] 2025-08-14T21:37:23.6166296Z /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] 2025-08-14T21:37:23.6176222Z /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] 2025-08-14T21:37:23.6188127Z /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] 2025-08-14T21:37:23.6205040Z /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] 2025-08-14T21:37:23.6678795Z /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] 2025-08-14T21:37:23.7315291Z /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] 2025-08-14T21:37:23.9789282Z /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] 2025-08-14T21:37:23.9878897Z /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] 2025-08-14T21:37:23.9894659Z /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] 2025-08-14T21:37:23.9946769Z /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] 2025-08-14T21:37:24.0501510Z /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] 2025-08-14T21:37:24.0579683Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_lamb_split_unweighted_kernel_warp.cu -> 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2025-08-14T21:37:26.0003256Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_kernel_nobag_small_template.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_kernel_nobag_small_template.hip [ok] 2025-08-14T21:37:26.0009743Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_nobag_cpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_nobag_cpu_hip.cpp [ok] 2025-08-14T21:37:26.0040675Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/inference/embedding_forward_quantized_split_nbit_kernel_template.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/inference/embedding_forward_quantized_split_nbit_kernel_template.hip [ok] 2025-08-14T21:37:26.0053431Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/inference/embedding_forward_quantized_split_lookup.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/inference/embedding_forward_quantized_split_lookup.hip [ok] 2025-08-14T21:37:26.0081655Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/inference/embedding_forward_quantized_host.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/inference/embedding_forward_quantized_host_hip.cpp [ok] 2025-08-14T21:37:26.0108123Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/inference/embedding_forward_quantized_split_nbit_host_template.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/inference/embedding_forward_quantized_split_nbit_host_template.hip [ok] 2025-08-14T21:37:26.0143412Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/inference/embedding_forward_quantized_cpu_template.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/inference/embedding_forward_quantized_cpu_template_hip.cpp [ok] 2025-08-14T21:37:26.0176716Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/inference/embedding_forward_quantized_host_cpu.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/inference/embedding_forward_quantized_host_cpu_hip.cpp [ok] 2025-08-14T21:37:26.0177304Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/placeholder.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/placeholder.cpp [skipped, no changes] 2025-08-14T21:37:26.0180898Z /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] 2025-08-14T21:37:26.0189525Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/topology_utils.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/topology_utils_hip.cpp [ok] 2025-08-14T21:37:26.0216239Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/histogram_binning_calibration_ops.cu -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/histogram_binning_calibration_ops.hip [ok] 2025-08-14T21:37:26.0228452Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/dram_kv_embedding_inference_wrapper.cpp -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/dram_kv_embedding_inference_wrapper.cpp [skipped, no changes] 2025-08-14T21:37:26.0244817Z /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] 2025-08-14T21:37:26.0247938Z /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] 2025-08-14T21:37:26.0251777Z /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] 2025-08-14T21:37:26.0269574Z /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] 2025-08-14T21:37:26.0322805Z /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] 2025-08-14T21:37:26.0333277Z /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] 2025-08-14T21:37:26.0361011Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/kv_db_table_batched_embeddings.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/ssd_split_embeddings_cache/kv_db_table_batched_embeddings_hip.h [ok] 2025-08-14T21:37:26.0372362Z /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] 2025-08-14T21:37:26.0450908Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/dram_kv_embedding_cache.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/dram_kv_embedding_cache/dram_kv_embedding_cache_hip.h [ok] 2025-08-14T21:37:26.0470559Z /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] 2025-08-14T21:37:26.0477403Z /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] 2025-08-14T21:37:26.0482360Z /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] 2025-08-14T21:37:26.0531802Z /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] 2025-08-14T21:37:26.0539935Z /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] 2025-08-14T21:37:26.0543166Z /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] 2025-08-14T21:37:26.0553160Z /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] 2025-08-14T21:37:26.0565578Z /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] 2025-08-14T21:37:26.0572852Z /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] 2025-08-14T21:37:26.0580733Z /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] 2025-08-14T21:37:26.0583652Z /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] 2025-08-14T21:37:26.0594263Z /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] 2025-08-14T21:37:26.0599182Z /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] 2025-08-14T21:37:26.0610975Z /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] 2025-08-14T21:37:26.0616617Z /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] 2025-08-14T21:37:26.0619626Z /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] 2025-08-14T21:37:26.0620998Z /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] 2025-08-14T21:37:26.0632505Z /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] 2025-08-14T21:37:26.0639967Z /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] 2025-08-14T21:37:26.0645900Z /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] 2025-08-14T21:37:26.0656021Z /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] 2025-08-14T21:37:26.0689723Z /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] 2025-08-14T21:37:26.0692245Z /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] 2025-08-14T21:37:26.0698680Z /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] 2025-08-14T21:37:26.0707962Z /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] 2025-08-14T21:37:26.0718367Z /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] 2025-08-14T21:37:26.0727284Z /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] 2025-08-14T21:37:26.0731148Z /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] 2025-08-14T21:37:26.0735471Z /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] 2025-08-14T21:37:26.0740511Z /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] 2025-08-14T21:37:26.0757752Z /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] 2025-08-14T21:37:26.0935849Z /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] 2025-08-14T21:37:26.0967631Z /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] 2025-08-14T21:37:26.0971315Z /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] 2025-08-14T21:37:26.0981613Z /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] 2025-08-14T21:37:26.0998740Z /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] 2025-08-14T21:37:26.1010921Z /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] 2025-08-14T21:37:26.1013811Z /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] 2025-08-14T21:37:26.1093065Z /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] 2025-08-14T21:37:26.1113656Z /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] 2025-08-14T21:37:26.1119820Z /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] 2025-08-14T21:37:26.1123403Z /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] 2025-08-14T21:37:26.1172860Z /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] 2025-08-14T21:37:26.1181229Z /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] 2025-08-14T21:37:26.1190044Z /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] 2025-08-14T21:37:26.1194420Z /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] 2025-08-14T21:37:26.1199414Z /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] 2025-08-14T21:37:26.1201813Z /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] 2025-08-14T21:37:26.1208498Z /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] 2025-08-14T21:37:26.1212462Z /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] 2025-08-14T21:37:26.1224280Z /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] 2025-08-14T21:37:26.1230555Z /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] 2025-08-14T21:37:26.1240249Z /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] 2025-08-14T21:37:26.1249055Z /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] 2025-08-14T21:37:26.1255611Z /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] 2025-08-14T21:37:26.1263081Z /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] 2025-08-14T21:37:26.1277685Z /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] 2025-08-14T21:37:26.1282230Z /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] 2025-08-14T21:37:26.1318283Z /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] 2025-08-14T21:37:26.1336898Z /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] 2025-08-14T21:37:26.1363125Z /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] 2025-08-14T21:37:26.1369240Z /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] 2025-08-14T21:37:26.1379734Z /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] 2025-08-14T21:37:26.1390304Z /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] 2025-08-14T21:37:26.1408932Z /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] 2025-08-14T21:37:26.1427822Z /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] 2025-08-14T21:37:26.1434394Z /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] 2025-08-14T21:37:26.1439587Z /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] 2025-08-14T21:37:26.1451472Z /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] 2025-08-14T21:37:26.1456152Z /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] 2025-08-14T21:37:26.1540711Z /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] 2025-08-14T21:37:26.1546523Z /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] 2025-08-14T21:37:26.1549158Z /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] 2025-08-14T21:37:26.1556581Z /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] 2025-08-14T21:37:26.1613669Z /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] 2025-08-14T21:37:26.1697028Z /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] 2025-08-14T21:37:26.1728728Z /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] 2025-08-14T21:37:26.1775194Z /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] 2025-08-14T21:37:26.1787378Z /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] 2025-08-14T21:37:26.1821714Z /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] 2025-08-14T21:37:26.1823911Z /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] 2025-08-14T21:37:26.1842446Z /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] 2025-08-14T21:37:26.1849008Z /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] 2025-08-14T21:37:26.1882526Z /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] 2025-08-14T21:37:26.1890703Z /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] 2025-08-14T21:37:26.1892577Z /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] 2025-08-14T21:37:26.1924275Z /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] 2025-08-14T21:37:26.1938728Z /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] 2025-08-14T21:37:26.1952683Z /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] 2025-08-14T21:37:26.1955992Z /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] 2025-08-14T21:37:26.1958938Z /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] 2025-08-14T21:37:26.1970923Z /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] 2025-08-14T21:37:26.1981786Z /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] 2025-08-14T21:37:26.2000737Z /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] 2025-08-14T21:37:26.2012013Z /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] 2025-08-14T21:37:26.2026011Z /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] 2025-08-14T21:37:26.2040957Z /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] 2025-08-14T21:37:26.2050292Z /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] 2025-08-14T21:37:26.2052402Z /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] 2025-08-14T21:37:26.2084089Z /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] 2025-08-14T21:37:26.2107762Z /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] 2025-08-14T21:37:26.2122564Z /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] 2025-08-14T21:37:26.2129171Z /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] 2025-08-14T21:37:26.2145752Z /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] 2025-08-14T21:37:26.2161121Z /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] 2025-08-14T21:37:26.2162270Z /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] 2025-08-14T21:37:26.2172324Z /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] 2025-08-14T21:37:26.2191722Z /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] 2025-08-14T21:37:26.2204342Z /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] 2025-08-14T21:37:26.2208026Z /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] 2025-08-14T21:37:26.2210274Z /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] 2025-08-14T21:37:26.2212265Z /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] 2025-08-14T21:37:26.2228014Z /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] 2025-08-14T21:37:26.2233356Z /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] 2025-08-14T21:37:26.2242456Z /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] 2025-08-14T21:37:26.2250226Z /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] 2025-08-14T21:37:26.2259142Z /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] 2025-08-14T21:37:26.2269435Z /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] 2025-08-14T21:37:26.2286878Z /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] 2025-08-14T21:37:26.2304139Z /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] 2025-08-14T21:37:26.2323861Z /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] 2025-08-14T21:37:26.2341444Z /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] 2025-08-14T21:37:26.2344431Z /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] 2025-08-14T21:37:26.2374153Z /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] 2025-08-14T21:37:26.2389305Z /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] 2025-08-14T21:37:26.2390052Z /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] 2025-08-14T21:37:26.2398360Z /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] 2025-08-14T21:37:26.2401819Z /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] 2025-08-14T21:37:26.2410744Z /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] 2025-08-14T21:37:26.2419468Z /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] 2025-08-14T21:37:26.2449010Z /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] 2025-08-14T21:37:26.2459736Z /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] 2025-08-14T21:37:26.2461043Z /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] 2025-08-14T21:37:26.2473987Z /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] 2025-08-14T21:37:26.2482456Z /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] 2025-08-14T21:37:26.2484933Z /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] 2025-08-14T21:37:26.2501819Z /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] 2025-08-14T21:37:26.2505350Z /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] 2025-08-14T21:37:26.2511609Z /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] 2025-08-14T21:37:26.2514630Z /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] 2025-08-14T21:37:26.2517819Z /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] 2025-08-14T21:37:26.2518707Z /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] 2025-08-14T21:37:26.2526291Z /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] 2025-08-14T21:37:26.2530475Z /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] 2025-08-14T21:37:26.2535964Z /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] 2025-08-14T21:37:26.2550033Z /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] 2025-08-14T21:37:26.2551039Z /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] 2025-08-14T21:37:26.2568434Z /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] 2025-08-14T21:37:26.2584605Z /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] 2025-08-14T21:37:26.2594722Z /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] 2025-08-14T21:37:26.2602470Z /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] 2025-08-14T21:37:26.2607519Z /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] 2025-08-14T21:37:26.2614889Z /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] 2025-08-14T21:37:26.2621621Z /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] 2025-08-14T21:37:26.2629658Z /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] 2025-08-14T21:37:26.2635811Z /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] 2025-08-14T21:37:26.2642805Z /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] 2025-08-14T21:37:26.2647189Z /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] 2025-08-14T21:37:26.2660213Z /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] 2025-08-14T21:37:26.2665820Z /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] 2025-08-14T21:37:26.2676234Z /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] 2025-08-14T21:37:26.2683909Z /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] 2025-08-14T21:37:26.2712633Z /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] 2025-08-14T21:37:26.2723749Z /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] 2025-08-14T21:37:26.2736318Z /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] 2025-08-14T21:37:26.2737614Z /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] 2025-08-14T21:37:26.2750024Z /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] 2025-08-14T21:37:26.2765848Z /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] 2025-08-14T21:37:26.2767066Z /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] 2025-08-14T21:37:26.2771243Z /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] 2025-08-14T21:37:26.2772353Z /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] 2025-08-14T21:37:26.2792714Z /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] 2025-08-14T21:37:26.2796304Z /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] 2025-08-14T21:37:26.2867877Z /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] 2025-08-14T21:37:26.2872461Z /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] 2025-08-14T21:37:26.2926755Z /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] 2025-08-14T21:37:26.2930520Z /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] 2025-08-14T21:37:26.2943615Z /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] 2025-08-14T21:37:26.2955022Z /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] 2025-08-14T21:37:26.2970366Z /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] 2025-08-14T21:37:26.2996874Z /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] 2025-08-14T21:37:26.3003694Z /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] 2025-08-14T21:37:26.3022307Z /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] 2025-08-14T21:37:26.3027757Z /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] 2025-08-14T21:37:26.3033802Z /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] 2025-08-14T21:37:26.3038840Z /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] 2025-08-14T21:37:26.3089095Z /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] 2025-08-14T21:37:26.3092037Z /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] 2025-08-14T21:37:26.3099634Z /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] 2025-08-14T21:37:26.3112134Z /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] 2025-08-14T21:37:26.3114583Z /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] 2025-08-14T21:37:26.3115163Z /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] 2025-08-14T21:37:26.3128072Z /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] 2025-08-14T21:37:26.3136285Z /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] 2025-08-14T21:37:26.3142405Z /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] 2025-08-14T21:37:26.3187117Z /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] 2025-08-14T21:37:26.3190089Z /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] 2025-08-14T21:37:26.3228290Z /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] 2025-08-14T21:37:26.3245349Z /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] 2025-08-14T21:37:26.3258839Z /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] 2025-08-14T21:37:26.3263976Z /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] 2025-08-14T21:37:26.3267281Z /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] 2025-08-14T21:37:26.3274512Z /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] 2025-08-14T21:37:26.3280698Z /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] 2025-08-14T21:37:26.3290003Z /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] 2025-08-14T21:37:26.3296367Z /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] 2025-08-14T21:37:26.3300699Z /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] 2025-08-14T21:37:26.3307271Z /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] 2025-08-14T21:37:26.3312326Z /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] 2025-08-14T21:37:26.3325514Z /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] 2025-08-14T21:37:26.3332454Z /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] 2025-08-14T21:37:26.3352035Z /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] 2025-08-14T21:37:26.3361787Z /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] 2025-08-14T21:37:26.3366883Z /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] 2025-08-14T21:37:26.3504278Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/docs/Doxyfile.in -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/docs/Doxyfile.in [skipped, no changes] 2025-08-14T21:37:26.3527156Z /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] 2025-08-14T21:37:26.3533137Z /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] 2025-08-14T21:37:26.3536686Z /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] 2025-08-14T21:37:26.3543903Z /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] 2025-08-14T21:37:26.3550484Z /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] 2025-08-14T21:37:26.3552646Z /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] 2025-08-14T21:37:26.3561471Z /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] 2025-08-14T21:37:26.3571114Z /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] 2025-08-14T21:37:26.3571963Z /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] 2025-08-14T21:37:26.3575518Z /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] 2025-08-14T21:37:26.3579840Z /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] 2025-08-14T21:37:26.3591127Z /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] 2025-08-14T21:37:26.3634570Z /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] 2025-08-14T21:37:26.3638955Z /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] 2025-08-14T21:37:26.3646344Z /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] 2025-08-14T21:37:26.3647923Z /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] 2025-08-14T21:37:26.3651902Z /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] 2025-08-14T21:37:26.3654676Z /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] 2025-08-14T21:37:26.3667653Z /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] 2025-08-14T21:37:26.3675635Z /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] 2025-08-14T21:37:26.3681278Z /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] 2025-08-14T21:37:26.3689029Z /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] 2025-08-14T21:37:26.3689691Z /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] 2025-08-14T21:37:26.3695065Z /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] 2025-08-14T21:37:26.3701063Z /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] 2025-08-14T21:37:26.3717978Z /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] 2025-08-14T21:37:26.3718642Z /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] 2025-08-14T21:37:26.3727915Z /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] 2025-08-14T21:37:26.3737671Z /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] 2025-08-14T21:37:26.3754176Z /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] 2025-08-14T21:37:26.3771179Z /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] 2025-08-14T21:37:26.3773673Z /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] 2025-08-14T21:37:26.3775119Z /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] 2025-08-14T21:37:26.3806963Z /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] 2025-08-14T21:37:26.3824455Z /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] 2025-08-14T21:37:26.3847338Z /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] 2025-08-14T21:37:26.3850906Z /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] 2025-08-14T21:37:26.3864257Z /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] 2025-08-14T21:37:26.3871972Z /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] 2025-08-14T21:37:26.3879142Z /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] 2025-08-14T21:37:26.3887323Z /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] 2025-08-14T21:37:26.3896131Z /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] 2025-08-14T21:37:26.3901143Z /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] 2025-08-14T21:37:26.3953131Z /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] 2025-08-14T21:37:26.3977305Z /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] 2025-08-14T21:37:26.3991744Z /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] 2025-08-14T21:37:26.3992397Z /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] 2025-08-14T21:37:26.3998517Z /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] 2025-08-14T21:37:26.4004416Z /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] 2025-08-14T21:37:26.4006636Z /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] 2025-08-14T21:37:26.4011243Z /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] 2025-08-14T21:37:26.4015106Z /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] 2025-08-14T21:37:26.4030248Z /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] 2025-08-14T21:37:26.4034735Z /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] 2025-08-14T21:37:26.4063924Z /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] 2025-08-14T21:37:26.4064796Z /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] 2025-08-14T21:37:26.4071353Z /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] 2025-08-14T21:37:26.4078731Z /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] 2025-08-14T21:37:26.4085339Z /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] 2025-08-14T21:37:26.4086815Z /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] 2025-08-14T21:37:26.4097178Z /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] 2025-08-14T21:37:26.4099173Z /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] 2025-08-14T21:37:26.4101467Z /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] 2025-08-14T21:37:26.4128807Z /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] 2025-08-14T21:37:26.4132603Z /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] 2025-08-14T21:37:26.4133151Z /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] 2025-08-14T21:37:26.4135598Z /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] 2025-08-14T21:37:26.4138037Z /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] 2025-08-14T21:37:26.4141377Z /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] 2025-08-14T21:37:26.4149222Z /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] 2025-08-14T21:37:26.4158486Z /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] 2025-08-14T21:37:26.4174703Z /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] 2025-08-14T21:37:26.4179135Z /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] 2025-08-14T21:37:26.4198681Z /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] 2025-08-14T21:37:26.4221715Z /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] 2025-08-14T21:37:26.4227538Z /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] 2025-08-14T21:37:26.4230078Z /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] 2025-08-14T21:37:26.4238548Z /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] 2025-08-14T21:37:26.4245290Z /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] 2025-08-14T21:37:26.4247255Z /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] 2025-08-14T21:37:26.4255939Z /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] 2025-08-14T21:37:26.4262778Z /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] 2025-08-14T21:37:26.4265917Z /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] 2025-08-14T21:37:26.4270343Z /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] 2025-08-14T21:37:26.4274436Z /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] 2025-08-14T21:37:26.4285635Z /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] 2025-08-14T21:37:26.4329482Z /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] 2025-08-14T21:37:26.4333852Z /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] 2025-08-14T21:37:26.4341396Z /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] 2025-08-14T21:37:26.4342185Z /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] 2025-08-14T21:37:26.4346692Z /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] 2025-08-14T21:37:26.4349561Z /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] 2025-08-14T21:37:26.4363038Z /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] 2025-08-14T21:37:26.4371095Z /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] 2025-08-14T21:37:26.4376761Z /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] 2025-08-14T21:37:26.4384404Z /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] 2025-08-14T21:37:26.4385055Z /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] 2025-08-14T21:37:26.4390554Z /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] 2025-08-14T21:37:26.4396306Z /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] 2025-08-14T21:37:26.4408320Z /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] 2025-08-14T21:37:26.4412755Z /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] 2025-08-14T21:37:26.4423500Z /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] 2025-08-14T21:37:26.4433247Z /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] 2025-08-14T21:37:26.4449688Z /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] 2025-08-14T21:37:26.4468289Z /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] 2025-08-14T21:37:26.4469160Z /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] 2025-08-14T21:37:26.4470679Z /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] 2025-08-14T21:37:26.4502571Z /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] 2025-08-14T21:37:26.4519978Z /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] 2025-08-14T21:37:26.4541084Z /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] 2025-08-14T21:37:26.4546791Z /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] 2025-08-14T21:37:26.4560639Z /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] 2025-08-14T21:37:26.4568418Z /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] 2025-08-14T21:37:26.4575016Z /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] 2025-08-14T21:37:26.4583238Z /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] 2025-08-14T21:37:26.4591830Z /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] 2025-08-14T21:37:26.4596800Z /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] 2025-08-14T21:37:26.4649318Z /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] 2025-08-14T21:37:26.4672769Z /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] 2025-08-14T21:37:26.4688243Z /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] 2025-08-14T21:37:26.4688840Z /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] 2025-08-14T21:37:26.4695340Z /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] 2025-08-14T21:37:26.4700157Z /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] 2025-08-14T21:37:26.4703119Z /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] 2025-08-14T21:37:26.4707866Z /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] 2025-08-14T21:37:26.4711723Z /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] 2025-08-14T21:37:26.4726884Z /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] 2025-08-14T21:37:26.4731461Z /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] 2025-08-14T21:37:26.4760640Z /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] 2025-08-14T21:37:26.4761865Z /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] 2025-08-14T21:37:26.4767959Z /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] 2025-08-14T21:37:26.4777146Z /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] 2025-08-14T21:37:26.4782051Z /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] 2025-08-14T21:37:26.4783316Z /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] 2025-08-14T21:37:26.4791880Z /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] 2025-08-14T21:37:26.4795415Z /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] 2025-08-14T21:37:26.4797941Z /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] 2025-08-14T21:37:26.4825150Z /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] 2025-08-14T21:37:26.4828904Z /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] 2025-08-14T21:37:26.4829449Z /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] 2025-08-14T21:37:26.4831870Z /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] 2025-08-14T21:37:26.4835761Z /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] 2025-08-14T21:37:26.4837648Z /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] 2025-08-14T21:37:26.4845373Z /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] 2025-08-14T21:37:26.4854634Z /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] 2025-08-14T21:37:26.4871054Z /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] 2025-08-14T21:37:26.4874939Z /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] 2025-08-14T21:37:26.4895135Z /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] 2025-08-14T21:37:26.4899847Z /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] 2025-08-14T21:37:26.4903160Z /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] 2025-08-14T21:37:26.5000250Z /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] 2025-08-14T21:37:26.5017649Z /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] 2025-08-14T21:37:26.5024871Z /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] 2025-08-14T21:37:26.5074942Z /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] 2025-08-14T21:37:26.5076140Z /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] 2025-08-14T21:37:26.5093595Z /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] 2025-08-14T21:37:26.5100874Z /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] 2025-08-14T21:37:26.5107200Z /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] 2025-08-14T21:37:26.5116023Z /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] 2025-08-14T21:37:26.5122960Z /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] 2025-08-14T21:37:26.5128074Z /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] 2025-08-14T21:37:26.5136176Z /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] 2025-08-14T21:37:26.5143903Z /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] 2025-08-14T21:37:26.5229002Z /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] 2025-08-14T21:37:26.5261255Z /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] 2025-08-14T21:37:26.5263635Z /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] 2025-08-14T21:37:26.5274381Z /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] 2025-08-14T21:37:26.5291026Z /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] 2025-08-14T21:37:26.5302872Z /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] 2025-08-14T21:37:26.5315223Z /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] 2025-08-14T21:37:26.5323956Z /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] 2025-08-14T21:37:26.5334976Z /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] 2025-08-14T21:37:26.5336197Z /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] 2025-08-14T21:37:26.5342354Z /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] 2025-08-14T21:37:26.5347906Z /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] 2025-08-14T21:37:26.5349070Z /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] 2025-08-14T21:37:26.5354252Z /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] 2025-08-14T21:37:26.5410116Z /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] 2025-08-14T21:37:26.5420097Z /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] 2025-08-14T21:37:26.5424144Z /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] 2025-08-14T21:37:26.5446753Z /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] 2025-08-14T21:37:26.5460350Z /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] 2025-08-14T21:37:26.5468984Z /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] 2025-08-14T21:37:26.5544702Z /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] 2025-08-14T21:37:26.5551478Z /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] 2025-08-14T21:37:26.5555585Z /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] 2025-08-14T21:37:26.5560094Z /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] 2025-08-14T21:37:26.5585763Z /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] 2025-08-14T21:37:26.5602967Z /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] 2025-08-14T21:37:26.5644298Z /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] 2025-08-14T21:37:26.5660355Z /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] 2025-08-14T21:37:26.5745232Z /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] 2025-08-14T21:37:26.5750531Z /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] 2025-08-14T21:37:26.5767516Z /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] 2025-08-14T21:37:26.5794382Z /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] 2025-08-14T21:37:26.5847919Z /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] 2025-08-14T21:37:26.5849681Z /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] 2025-08-14T21:37:26.5858464Z /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] 2025-08-14T21:37:26.5880377Z /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] 2025-08-14T21:37:26.5900751Z /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] 2025-08-14T21:37:26.5907384Z /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] 2025-08-14T21:37:26.5937775Z /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] 2025-08-14T21:37:26.5945243Z /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] 2025-08-14T21:37:26.5947616Z /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] 2025-08-14T21:37:26.5948339Z /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] 2025-08-14T21:37:26.5962833Z /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] 2025-08-14T21:37:26.5988057Z /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] 2025-08-14T21:37:26.6002351Z /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] 2025-08-14T21:37:26.6022107Z /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] 2025-08-14T21:37:26.6037357Z /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] 2025-08-14T21:37:26.6047808Z /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] 2025-08-14T21:37:26.6059560Z /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] 2025-08-14T21:37:26.6072872Z /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] 2025-08-14T21:37:26.6084910Z /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] 2025-08-14T21:37:26.6088519Z /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] 2025-08-14T21:37:26.6091670Z /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] 2025-08-14T21:37:26.6097641Z /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] 2025-08-14T21:37:26.6101753Z /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] 2025-08-14T21:37:26.6105741Z /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] 2025-08-14T21:37:26.6109568Z /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] 2025-08-14T21:37:26.6132102Z /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] 2025-08-14T21:37:26.6150912Z /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] 2025-08-14T21:37:26.6152979Z /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] 2025-08-14T21:37:26.6173903Z /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] 2025-08-14T21:37:26.6208757Z /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] 2025-08-14T21:37:26.6238887Z /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] 2025-08-14T21:37:26.6254270Z /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] 2025-08-14T21:37:26.6264963Z /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] 2025-08-14T21:37:26.6280157Z /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] 2025-08-14T21:37:26.6282215Z /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] 2025-08-14T21:37:26.6311965Z /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] 2025-08-14T21:37:26.6316038Z /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] 2025-08-14T21:37:26.6343506Z /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] 2025-08-14T21:37:26.6372101Z /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] 2025-08-14T21:37:26.6378312Z /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] 2025-08-14T21:37:26.6401359Z /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] 2025-08-14T21:37:26.6405262Z /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] 2025-08-14T21:37:26.6489091Z /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] 2025-08-14T21:37:26.6503408Z /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] 2025-08-14T21:37:26.6536302Z /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] 2025-08-14T21:37:26.6548725Z /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] 2025-08-14T21:37:26.6552614Z /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] 2025-08-14T21:37:26.6574945Z /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] 2025-08-14T21:37:26.6582055Z /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] 2025-08-14T21:37:26.6587128Z /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] 2025-08-14T21:37:26.6602232Z /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] 2025-08-14T21:37:26.6602931Z /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] 2025-08-14T21:37:26.6621730Z /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] 2025-08-14T21:37:26.6629551Z /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] 2025-08-14T21:37:26.6645829Z /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] 2025-08-14T21:37:26.6655812Z /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] 2025-08-14T21:37:26.6663047Z /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] 2025-08-14T21:37:26.6669534Z /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] 2025-08-14T21:37:26.6676906Z /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] 2025-08-14T21:37:26.6695083Z /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] 2025-08-14T21:37:26.6714505Z /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] 2025-08-14T21:37:26.6717102Z /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] 2025-08-14T21:37:26.6724567Z /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] 2025-08-14T21:37:26.6730927Z /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] 2025-08-14T21:37:26.6746971Z /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] 2025-08-14T21:37:26.6757264Z /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] 2025-08-14T21:37:26.6767519Z /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] 2025-08-14T21:37:26.6769712Z /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] 2025-08-14T21:37:26.6779855Z /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] 2025-08-14T21:37:26.6795268Z /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] 2025-08-14T21:37:26.6802444Z /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] 2025-08-14T21:37:26.6804831Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/pt2_arg_utils_ssd.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/pt2_arg_utils_ssd.h [skipped, no changes] 2025-08-14T21:37:26.6822463Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_partial_rowwise_adam_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_partial_rowwise_adam_split_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:26.6837293Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_lars_sgd_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_lars_sgd_split_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:26.6856402Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_partial_rowwise_lamb_split_device_kernel.cuh -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_partial_rowwise_lamb_split_device_kernel_hip.cuh [skipped, already hipified] 2025-08-14T21:37:26.6870871Z /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] 2025-08-14T21:37:26.6880429Z /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] 2025-08-14T21:37:26.6901955Z /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] 2025-08-14T21:37:26.6909480Z /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] 2025-08-14T21:37:26.6916799Z /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] 2025-08-14T21:37:26.6941469Z /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] 2025-08-14T21:37:26.6946107Z /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] 2025-08-14T21:37:26.6958255Z /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] 2025-08-14T21:37:26.6975543Z /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] 2025-08-14T21:37:26.6994343Z /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] 2025-08-14T21:37:26.7006088Z /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] 2025-08-14T21:37:26.7010212Z /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] 2025-08-14T21:37:26.7018974Z /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] 2025-08-14T21:37:26.7023478Z /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] 2025-08-14T21:37:26.7026856Z /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] 2025-08-14T21:37:26.7124237Z /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] 2025-08-14T21:37:26.7141954Z /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] 2025-08-14T21:37:26.7149709Z /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] 2025-08-14T21:37:26.7200021Z /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] 2025-08-14T21:37:26.7201396Z /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] 2025-08-14T21:37:26.7218875Z /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] 2025-08-14T21:37:26.7228200Z /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] 2025-08-14T21:37:26.7232423Z /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] 2025-08-14T21:37:26.7241574Z /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] 2025-08-14T21:37:26.7248348Z /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] 2025-08-14T21:37:26.7253383Z /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] 2025-08-14T21:37:26.7261728Z /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] 2025-08-14T21:37:26.7269387Z /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] 2025-08-14T21:37:26.7354389Z /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] 2025-08-14T21:37:26.7386834Z /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] 2025-08-14T21:37:26.7389108Z /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] 2025-08-14T21:37:26.7400263Z /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] 2025-08-14T21:37:26.7417285Z /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] 2025-08-14T21:37:26.7428877Z /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] 2025-08-14T21:37:26.7441311Z /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] 2025-08-14T21:37:26.7449775Z /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] 2025-08-14T21:37:26.7460692Z /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] 2025-08-14T21:37:26.7462011Z /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] 2025-08-14T21:37:26.7468128Z /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] 2025-08-14T21:37:26.7474087Z /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] 2025-08-14T21:37:26.7474820Z /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] 2025-08-14T21:37:26.7480349Z /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] 2025-08-14T21:37:26.7534612Z /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] 2025-08-14T21:37:26.7557436Z /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] 2025-08-14T21:37:26.7563717Z /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] 2025-08-14T21:37:26.7566118Z /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] 2025-08-14T21:37:26.7574428Z /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] 2025-08-14T21:37:26.7581331Z /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] 2025-08-14T21:37:26.7583323Z /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] 2025-08-14T21:37:26.7591854Z /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] 2025-08-14T21:37:26.7598612Z /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] 2025-08-14T21:37:26.7602154Z /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] 2025-08-14T21:37:26.7606307Z /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] 2025-08-14T21:37:26.7610541Z /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] 2025-08-14T21:37:26.7621667Z /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] 2025-08-14T21:37:26.7665178Z /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] 2025-08-14T21:37:26.7669926Z /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] 2025-08-14T21:37:26.7677090Z /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] 2025-08-14T21:37:26.7678567Z /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] 2025-08-14T21:37:26.7682705Z /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] 2025-08-14T21:37:26.7685652Z /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] 2025-08-14T21:37:26.7698727Z /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] 2025-08-14T21:37:26.7706777Z /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] 2025-08-14T21:37:26.7712556Z /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] 2025-08-14T21:37:26.7720105Z /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] 2025-08-14T21:37:26.7722439Z /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] 2025-08-14T21:37:26.7727195Z /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] 2025-08-14T21:37:26.7732499Z /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] 2025-08-14T21:37:26.7744492Z /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] 2025-08-14T21:37:26.7749047Z /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] 2025-08-14T21:37:26.7759788Z /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] 2025-08-14T21:37:26.7769907Z /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] 2025-08-14T21:37:26.7786146Z /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] 2025-08-14T21:37:26.7803377Z /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] 2025-08-14T21:37:26.7805955Z /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] 2025-08-14T21:37:26.7807420Z /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] 2025-08-14T21:37:26.7839187Z /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] 2025-08-14T21:37:26.7856737Z /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] 2025-08-14T21:37:26.7877455Z /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] 2025-08-14T21:37:26.7883459Z /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] 2025-08-14T21:37:26.7897353Z /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] 2025-08-14T21:37:26.7905225Z /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] 2025-08-14T21:37:26.7911807Z /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] 2025-08-14T21:37:26.7920031Z /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] 2025-08-14T21:37:26.7928790Z /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] 2025-08-14T21:37:26.7933542Z /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] 2025-08-14T21:37:26.7985663Z /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] 2025-08-14T21:37:26.8009770Z /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] 2025-08-14T21:37:26.8024339Z /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] 2025-08-14T21:37:26.8024986Z /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] 2025-08-14T21:37:26.8031161Z /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] 2025-08-14T21:37:26.8036031Z /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] 2025-08-14T21:37:26.8039411Z /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] 2025-08-14T21:37:26.8044014Z /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] 2025-08-14T21:37:26.8047962Z /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] 2025-08-14T21:37:26.8062919Z /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] 2025-08-14T21:37:26.8067528Z /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] 2025-08-14T21:37:26.8096409Z /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] 2025-08-14T21:37:26.8097715Z /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] 2025-08-14T21:37:26.8103858Z /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] 2025-08-14T21:37:26.8111480Z /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] 2025-08-14T21:37:26.8117920Z /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] 2025-08-14T21:37:26.8120264Z /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] 2025-08-14T21:37:26.8127925Z /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] 2025-08-14T21:37:26.8131792Z /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] 2025-08-14T21:37:26.8134236Z /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] 2025-08-14T21:37:26.8161528Z /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] 2025-08-14T21:37:26.8165116Z /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] 2025-08-14T21:37:26.8165805Z /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] 2025-08-14T21:37:26.8168199Z /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] 2025-08-14T21:37:26.8170719Z /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] 2025-08-14T21:37:26.8173943Z /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] 2025-08-14T21:37:26.8181731Z /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] 2025-08-14T21:37:26.8191007Z /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] 2025-08-14T21:37:26.8207275Z /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] 2025-08-14T21:37:26.8211767Z /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] 2025-08-14T21:37:26.8231483Z /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] 2025-08-14T21:37:26.8239074Z /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] 2025-08-14T21:37:26.8241883Z /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] 2025-08-14T21:37:26.8242609Z /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] 2025-08-14T21:37:26.8257410Z /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] 2025-08-14T21:37:26.8282082Z /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] 2025-08-14T21:37:26.8296360Z /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] 2025-08-14T21:37:26.8314451Z /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] 2025-08-14T21:37:26.8331556Z /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] 2025-08-14T21:37:26.8342246Z /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] 2025-08-14T21:37:26.8354144Z /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] 2025-08-14T21:37:26.8367568Z /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] 2025-08-14T21:37:26.8380110Z /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] 2025-08-14T21:37:26.8383402Z /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] 2025-08-14T21:37:26.8386692Z /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] 2025-08-14T21:37:26.8392774Z /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] 2025-08-14T21:37:26.8396830Z /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] 2025-08-14T21:37:26.8400841Z /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] 2025-08-14T21:37:26.8404192Z /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] 2025-08-14T21:37:26.8427034Z /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] 2025-08-14T21:37:26.8445751Z /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] 2025-08-14T21:37:26.8447972Z /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] 2025-08-14T21:37:26.8468619Z /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] 2025-08-14T21:37:26.8503678Z /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] 2025-08-14T21:37:26.8533689Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/bf16bf16bf16_grouped/bf16bf16bf16_grouped_manifest.cuh -> 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/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_groupwise/f8f8bf16_groupwise_common_hip.cuh [skipped, already hipified] 2025-08-14T21:37:26.8579713Z /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] 2025-08-14T21:37:26.8605137Z /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] 2025-08-14T21:37:26.8611202Z 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/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/include/kernel_mode.h -> /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/include/kernel_mode.h [skipped, no changes] 2025-08-14T21:37:26.8783682Z /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] 2025-08-14T21:37:26.8797877Z /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] 2025-08-14T21:37:26.8830983Z /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] 2025-08-14T21:37:26.8843371Z /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] 2025-08-14T21:37:26.8847047Z /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] 2025-08-14T21:37:26.8869182Z /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] 2025-08-14T21:37:26.8876638Z /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] 2025-08-14T21:37:26.8882408Z /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] 2025-08-14T21:37:26.8895792Z /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] 2025-08-14T21:37:26.8897886Z /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] 2025-08-14T21:37:26.8898561Z Successfully preprocessed all matching files. 2025-08-14T21:37:26.8910570Z Total number of unsupported CUDA function calls: 0 2025-08-14T21:37:26.8910737Z 2025-08-14T21:37:26.8910828Z 2025-08-14T21:37:26.8911316Z Total number of replaced kernel launches: 233 2025-08-14T21:37:27.2203146Z  2025-08-14T21:37:27.2203278Z  2025-08-14T21:37:27.2206928Z ================================================================================ 2025-08-14T21:37:27.2207126Z HIPify Sources 2025-08-14T21:37:27.2207259Z   2025-08-14T21:37:27.2207375Z CUDA_SOURCE_DIR: 2025-08-14T21:37:27.2207531Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:27.2207673Z   2025-08-14T21:37:27.2207778Z HEADER_INCLUDE_DIR: 2025-08-14T21:37:27.2207940Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:27.2208124Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src 2025-08-14T21:37:27.2208297Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:27.2208502Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/example 2025-08-14T21:37:27.2208965Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/experimental/gen_ai 2025-08-14T21:37:27.2209164Z ================================================================================ 2025-08-14T21:37:27.2209300Z  2025-08-14T21:37:27.2212419Z -- Adding merge_pooled_embeddings sources 2025-08-14T21:37:27.2212810Z -- Writing tmp_GixzFFbE36F4f3Vx into file - file_tmp_GixzFFbE36F4f3Vx.txt 2025-08-14T21:37:27.2456757Z  2025-08-14T21:37:27.2457564Z  2025-08-14T21:37:27.2457730Z ================================================================================ 2025-08-14T21:37:27.2457934Z GPU CPP Library Target: fbgemm_gpu_tbe_cache (SHARED) 2025-08-14T21:37:27.2458104Z   2025-08-14T21:37:27.2458215Z CPU_SRCS: 2025-08-14T21:37:27.2458463Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_populate_byte.cpp 2025-08-14T21:37:27.2458834Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/linearize_cache_indices.cpp 2025-08-14T21:37:27.2459183Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_populate_byte.cpp 2025-08-14T21:37:27.2459507Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lxu_cache.cpp 2025-08-14T21:37:27.2459838Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/split_embeddings_cache_ops.cpp 2025-08-14T21:37:27.2460066Z   2025-08-14T21:37:27.2460163Z GPU_SRCS: 2025-08-14T21:37:27.2460384Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_find.cu 2025-08-14T21:37:27.2460701Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_populate.cu 2025-08-14T21:37:27.2461222Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_populate_byte.cu 2025-08-14T21:37:27.2461560Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/linearize_cache_indices.cu 2025-08-14T21:37:27.2461883Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_find.cu 2025-08-14T21:37:27.2462196Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_populate.cu 2025-08-14T21:37:27.2462523Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_populate_byte.cu 2025-08-14T21:37:27.2463016Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lxu_cache.cu 2025-08-14T21:37:27.2463328Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/reset_weight_momentum.cu 2025-08-14T21:37:27.2463671Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/split_embeddings_cache_ops.cu 2025-08-14T21:37:27.2463887Z   2025-08-14T21:37:27.2464002Z CUDA_SPECIFIC_SRCS: 2025-08-14T21:37:27.2464113Z  2025-08-14T21:37:27.2464200Z   2025-08-14T21:37:27.2464301Z HIP_SPECIFIC_SRCS: 2025-08-14T21:37:27.2467013Z  2025-08-14T21:37:27.2467135Z   2025-08-14T21:37:27.2467229Z OTHER_SRCS: 2025-08-14T21:37:27.2467333Z  2025-08-14T21:37:27.2467417Z   2025-08-14T21:37:27.2467504Z CC_FLAGS: 2025-08-14T21:37:27.2467596Z  2025-08-14T21:37:27.2467678Z   2025-08-14T21:37:27.2467764Z NVCC_FLAGS: 2025-08-14T21:37:27.2467892Z --expt-relaxed-constexpr 2025-08-14T21:37:27.2468028Z -D__CUDA_NO_HALF_OPERATORS__ 2025-08-14T21:37:27.2469536Z -D__CUDA_NO_BFLOAT16_CONVERSIONS__ 2025-08-14T21:37:27.2469687Z -D__CUDA_NO_HALF2_OPERATORS__ 2025-08-14T21:37:27.2469803Z   2025-08-14T21:37:27.2469892Z HIPCC_FLAGS: 2025-08-14T21:37:27.2469990Z  2025-08-14T21:37:27.2470073Z   2025-08-14T21:37:27.2470162Z INCLUDE_DIRS: 2025-08-14T21:37:27.2470317Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:27.2470499Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:27.2470755Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:27.2470945Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:27.2472281Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:27.2472559Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:27.2472829Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src 2025-08-14T21:37:27.2473075Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cpuinfo/include 2025-08-14T21:37:27.2473321Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/include 2025-08-14T21:37:27.2473586Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/tools/util/include 2025-08-14T21:37:27.2473868Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/include 2025-08-14T21:37:27.2474161Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/library/include 2025-08-14T21:37:27.2474435Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/json/include 2025-08-14T21:37:27.2474599Z   2025-08-14T21:37:27.2474701Z Selected Source Files: 2025-08-14T21:37:27.2475978Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_populate_byte.cpp 2025-08-14T21:37:27.2476330Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/linearize_cache_indices.cpp 2025-08-14T21:37:27.2476734Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_populate_byte.cpp 2025-08-14T21:37:27.2477047Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lxu_cache.cpp 2025-08-14T21:37:27.2477369Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/split_embeddings_cache_ops.cpp 2025-08-14T21:37:27.2477694Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_find.cu 2025-08-14T21:37:27.2478009Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_populate.cu 2025-08-14T21:37:27.2478333Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_populate_byte.cu 2025-08-14T21:37:27.2478710Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/linearize_cache_indices.cu 2025-08-14T21:37:27.2479025Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_find.cu 2025-08-14T21:37:27.2479334Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_populate.cu 2025-08-14T21:37:27.2480795Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_populate_byte.cu 2025-08-14T21:37:27.2481102Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lxu_cache.cu 2025-08-14T21:37:27.2481408Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/reset_weight_momentum.cu 2025-08-14T21:37:27.2481749Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/split_embeddings_cache_ops.cu 2025-08-14T21:37:27.2481962Z   2025-08-14T21:37:27.2482063Z HIPified Source Files: 2025-08-14T21:37:27.2482308Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_populate_byte_hip.cpp 2025-08-14T21:37:27.2482657Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/linearize_cache_indices_hip.cpp 2025-08-14T21:37:27.2483003Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_populate_byte_hip.cpp 2025-08-14T21:37:27.2483326Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lxu_cache_hip.cpp 2025-08-14T21:37:27.2483664Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/split_embeddings_cache_ops_hip.cpp 2025-08-14T21:37:27.2485028Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_find.hip 2025-08-14T21:37:27.2485393Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_populate.hip 2025-08-14T21:37:27.2485722Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lfu_cache_populate_byte.hip 2025-08-14T21:37:27.2486064Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/linearize_cache_indices.hip 2025-08-14T21:37:27.2486384Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_find.hip 2025-08-14T21:37:27.2486751Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_populate.hip 2025-08-14T21:37:27.2487075Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lru_cache_populate_byte.hip 2025-08-14T21:37:27.2487385Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/lxu_cache.hip 2025-08-14T21:37:27.2487696Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/reset_weight_momentum.hip 2025-08-14T21:37:27.2488040Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_cache/split_embeddings_cache_ops.hip 2025-08-14T21:37:27.2488255Z   2025-08-14T21:37:27.2489393Z Library Dependencies: 2025-08-14T21:37:27.2489507Z torch 2025-08-14T21:37:27.2489608Z torch_library 2025-08-14T21:37:27.2489791Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:27.2489955Z   2025-08-14T21:37:27.2490050Z Output Library: 2025-08-14T21:37:27.2490168Z fbgemm_gpu_tbe_cache 2025-08-14T21:37:27.2490275Z   2025-08-14T21:37:27.2490373Z Destination Directory: 2025-08-14T21:37:27.2490487Z fbgemm_gpu 2025-08-14T21:37:27.2490621Z ================================================================================ 2025-08-14T21:37:27.2491758Z  2025-08-14T21:37:27.3110365Z -- Writing tmp_7rdBi0DwzKMrqc8H into file - file_tmp_7rdBi0DwzKMrqc8H.txt 2025-08-14T21:37:27.3390777Z  2025-08-14T21:37:27.3391107Z  2025-08-14T21:37:27.3391524Z ================================================================================ 2025-08-14T21:37:27.3392108Z GPU CPP Library Target: fbgemm_gpu_tbe_inference (SHARED) 2025-08-14T21:37:27.3392563Z   2025-08-14T21:37:27.3393174Z CPU_SRCS: 2025-08-14T21:37:27.3399521Z codegen/inference/embedding_forward_quantized_host_cpu.cpp 2025-08-14T21:37:27.3400531Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_unweighted_codegen_cpu.cpp 2025-08-14T21:37:27.3401519Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_weighted_codegen_cpu.cpp 2025-08-14T21:37:27.3402071Z   2025-08-14T21:37:27.3402274Z GPU_SRCS: 2025-08-14T21:37:27.3402595Z codegen/inference/embedding_forward_quantized_host.cpp 2025-08-14T21:37:27.3403066Z codegen/inference/embedding_forward_quantized_split_lookup.cu 2025-08-14T21:37:27.3403874Z /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 2025-08-14T21:37:27.3404862Z /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 2025-08-14T21:37:27.3405631Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_weighted_fp8_codegen_cuda.cu 2025-08-14T21:37:27.3406403Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_weighted_int8_codegen_cuda.cu 2025-08-14T21:37:27.3407277Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_weighted_int4_codegen_cuda.cu 2025-08-14T21:37:27.3408194Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_weighted_int2_codegen_cuda.cu 2025-08-14T21:37:27.3409007Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_fp32_codegen_cuda.cu 2025-08-14T21:37:27.3409831Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_fp16_codegen_cuda.cu 2025-08-14T21:37:27.3410659Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_fp8_codegen_cuda.cu 2025-08-14T21:37:27.3411490Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_int8_codegen_cuda.cu 2025-08-14T21:37:27.3412320Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_int4_codegen_cuda.cu 2025-08-14T21:37:27.3413145Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_int2_codegen_cuda.cu 2025-08-14T21:37:27.3413950Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_fp32_codegen_cuda.cu 2025-08-14T21:37:27.3414756Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_fp16_codegen_cuda.cu 2025-08-14T21:37:27.3415378Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_fp8_codegen_cuda.cu 2025-08-14T21:37:27.3416000Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_int8_codegen_cuda.cu 2025-08-14T21:37:27.3416746Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_int4_codegen_cuda.cu 2025-08-14T21:37:27.3417364Z /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 2025-08-14T21:37:27.3417974Z /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 2025-08-14T21:37:27.3418582Z /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 2025-08-14T21:37:27.3419204Z /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 2025-08-14T21:37:27.3419550Z   2025-08-14T21:37:27.3419679Z CUDA_SPECIFIC_SRCS: 2025-08-14T21:37:27.3419824Z  2025-08-14T21:37:27.3419939Z   2025-08-14T21:37:27.3420070Z HIP_SPECIFIC_SRCS: 2025-08-14T21:37:27.3420205Z  2025-08-14T21:37:27.3420316Z   2025-08-14T21:37:27.3422149Z OTHER_SRCS: 2025-08-14T21:37:27.3422267Z  2025-08-14T21:37:27.3422361Z   2025-08-14T21:37:27.3422464Z CC_FLAGS: 2025-08-14T21:37:27.3422570Z  2025-08-14T21:37:27.3422660Z   2025-08-14T21:37:27.3422761Z NVCC_FLAGS: 2025-08-14T21:37:27.3422901Z --expt-relaxed-constexpr 2025-08-14T21:37:27.3423057Z -D__CUDA_NO_HALF_OPERATORS__ 2025-08-14T21:37:27.3423221Z -D__CUDA_NO_BFLOAT16_CONVERSIONS__ 2025-08-14T21:37:27.3423450Z -D__CUDA_NO_HALF2_OPERATORS__ 2025-08-14T21:37:27.3424923Z   2025-08-14T21:37:27.3425030Z HIPCC_FLAGS: 2025-08-14T21:37:27.3425144Z  2025-08-14T21:37:27.3425239Z   2025-08-14T21:37:27.3425337Z INCLUDE_DIRS: 2025-08-14T21:37:27.3425497Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:27.3425683Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:27.3425863Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:27.3426057Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:27.3426279Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:27.3426623Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:27.3427972Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src 2025-08-14T21:37:27.3428230Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cpuinfo/include 2025-08-14T21:37:27.3428479Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/include 2025-08-14T21:37:27.3428746Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/tools/util/include 2025-08-14T21:37:27.3429030Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/include 2025-08-14T21:37:27.3429328Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/library/include 2025-08-14T21:37:27.3429602Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/json/include 2025-08-14T21:37:27.3429769Z   2025-08-14T21:37:27.3429873Z Selected Source Files: 2025-08-14T21:37:27.3430049Z codegen/inference/embedding_forward_quantized_host_cpu.cpp 2025-08-14T21:37:27.3430412Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_unweighted_codegen_cpu.cpp 2025-08-14T21:37:27.3431917Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_weighted_codegen_cpu.cpp 2025-08-14T21:37:27.3432242Z codegen/inference/embedding_forward_quantized_host.cpp 2025-08-14T21:37:27.3432460Z codegen/inference/embedding_forward_quantized_split_lookup.cu 2025-08-14T21:37:27.3432906Z /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 2025-08-14T21:37:27.3433437Z /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 2025-08-14T21:37:27.3433962Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_weighted_fp8_codegen_cuda.cu 2025-08-14T21:37:27.3434487Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_weighted_int8_codegen_cuda.cu 2025-08-14T21:37:27.3435017Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_weighted_int4_codegen_cuda.cu 2025-08-14T21:37:27.3435546Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_weighted_int2_codegen_cuda.cu 2025-08-14T21:37:27.3436085Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_fp32_codegen_cuda.cu 2025-08-14T21:37:27.3437755Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_fp16_codegen_cuda.cu 2025-08-14T21:37:27.3438314Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_fp8_codegen_cuda.cu 2025-08-14T21:37:27.3438916Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_int8_codegen_cuda.cu 2025-08-14T21:37:27.3439468Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_int4_codegen_cuda.cu 2025-08-14T21:37:27.3440069Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_int2_codegen_cuda.cu 2025-08-14T21:37:27.3440608Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_fp32_codegen_cuda.cu 2025-08-14T21:37:27.3441140Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_fp16_codegen_cuda.cu 2025-08-14T21:37:27.3441676Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_fp8_codegen_cuda.cu 2025-08-14T21:37:27.3442211Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_int8_codegen_cuda.cu 2025-08-14T21:37:27.3442743Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_split_nbit_kernel_unweighted_int4_codegen_cuda.cu 2025-08-14T21:37:27.3443273Z /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 2025-08-14T21:37:27.3444828Z /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 2025-08-14T21:37:27.3445358Z /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 2025-08-14T21:37:27.3445927Z /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 2025-08-14T21:37:27.3446220Z   2025-08-14T21:37:27.3446324Z HIPified Source Files: 2025-08-14T21:37:27.3446649Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/inference/embedding_forward_quantized_host_cpu_hip.cpp 2025-08-14T21:37:27.3447086Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_unweighted_codegen_cpu_hip.cpp 2025-08-14T21:37:27.3447563Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_quantized_weighted_codegen_cpu_hip.cpp 2025-08-14T21:37:27.3447982Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/inference/embedding_forward_quantized_host_hip.cpp 2025-08-14T21:37:27.3448353Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/inference/embedding_forward_quantized_split_lookup.hip 2025-08-14T21:37:27.3448818Z /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 2025-08-14T21:37:27.3450396Z /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 2025-08-14T21:37:27.3450924Z /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 2025-08-14T21:37:27.3451449Z /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 2025-08-14T21:37:27.3452023Z /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 2025-08-14T21:37:27.3452553Z /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 2025-08-14T21:37:27.3453092Z /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 2025-08-14T21:37:27.3453641Z /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 2025-08-14T21:37:27.3454187Z /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 2025-08-14T21:37:27.3454737Z /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 2025-08-14T21:37:27.3455288Z /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 2025-08-14T21:37:27.3456914Z /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 2025-08-14T21:37:27.3457468Z /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 2025-08-14T21:37:27.3458003Z /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 2025-08-14T21:37:27.3458539Z /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 2025-08-14T21:37:27.3459127Z /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 2025-08-14T21:37:27.3459659Z /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 2025-08-14T21:37:27.3460190Z /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 2025-08-14T21:37:27.3460709Z /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 2025-08-14T21:37:27.3461230Z /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 2025-08-14T21:37:27.3461755Z /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 2025-08-14T21:37:27.3462046Z   2025-08-14T21:37:27.3463194Z Library Dependencies: 2025-08-14T21:37:27.3463318Z torch 2025-08-14T21:37:27.3463419Z torch_library 2025-08-14T21:37:27.3463607Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:27.3463780Z asmjit 2025-08-14T21:37:27.3463875Z fbgemm 2025-08-14T21:37:27.3463985Z fbgemm_gpu_tbe_cache 2025-08-14T21:37:27.3464106Z fbgemm_gpu_config 2025-08-14T21:37:27.3464259Z   2025-08-14T21:37:27.3464353Z Output Library: 2025-08-14T21:37:27.3464471Z fbgemm_gpu_tbe_inference 2025-08-14T21:37:27.3465605Z   2025-08-14T21:37:27.3465715Z Destination Directory: 2025-08-14T21:37:27.3465832Z fbgemm_gpu 2025-08-14T21:37:27.3465968Z ================================================================================ 2025-08-14T21:37:27.3466106Z  2025-08-14T21:37:27.6127903Z -- Writing tmp_Rz9i7bP0zfXUiI1y into file - file_tmp_Rz9i7bP0zfXUiI1y.txt 2025-08-14T21:37:27.6337173Z  2025-08-14T21:37:27.6337490Z  2025-08-14T21:37:27.6337876Z ================================================================================ 2025-08-14T21:37:27.6338418Z GPU CPP Library Target: fbgemm_gpu_config (SHARED) 2025-08-14T21:37:27.6338824Z   2025-08-14T21:37:27.6339083Z CPU_SRCS: 2025-08-14T21:37:27.6339413Z src/config/feature_gates.cpp 2025-08-14T21:37:27.6339744Z   2025-08-14T21:37:27.6340008Z GPU_SRCS: 2025-08-14T21:37:27.6340268Z  2025-08-14T21:37:27.6340509Z   2025-08-14T21:37:27.6340775Z CUDA_SPECIFIC_SRCS: 2025-08-14T21:37:27.6341077Z  2025-08-14T21:37:27.6341312Z   2025-08-14T21:37:27.6341584Z HIP_SPECIFIC_SRCS: 2025-08-14T21:37:27.6341868Z  2025-08-14T21:37:27.6342099Z   2025-08-14T21:37:27.6342381Z OTHER_SRCS: 2025-08-14T21:37:27.6342658Z  2025-08-14T21:37:27.6342883Z   2025-08-14T21:37:27.6343130Z CC_FLAGS: 2025-08-14T21:37:27.6343393Z  2025-08-14T21:37:27.6343631Z   2025-08-14T21:37:27.6343872Z NVCC_FLAGS: 2025-08-14T21:37:27.6344136Z  2025-08-14T21:37:27.6344361Z   2025-08-14T21:37:27.6344614Z HIPCC_FLAGS: 2025-08-14T21:37:27.6344887Z  2025-08-14T21:37:27.6345121Z   2025-08-14T21:37:27.6345374Z INCLUDE_DIRS: 2025-08-14T21:37:27.6345792Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:27.6346129Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:27.6346527Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:27.6350229Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:27.6350569Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:27.6351141Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:27.6351545Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src 2025-08-14T21:37:27.6351910Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cpuinfo/include 2025-08-14T21:37:27.6352280Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/include 2025-08-14T21:37:27.6352679Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/tools/util/include 2025-08-14T21:37:27.6353105Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/include 2025-08-14T21:37:27.6353547Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/library/include 2025-08-14T21:37:27.6353951Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/json/include 2025-08-14T21:37:27.6354199Z   2025-08-14T21:37:27.6356298Z Selected Source Files: 2025-08-14T21:37:27.6356560Z src/config/feature_gates.cpp 2025-08-14T21:37:27.6356698Z   2025-08-14T21:37:27.6356815Z HIPified Source Files: 2025-08-14T21:37:27.6357040Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/config/feature_gates.cpp 2025-08-14T21:37:27.6357239Z   2025-08-14T21:37:27.6357354Z Library Dependencies: 2025-08-14T21:37:27.6357484Z torch 2025-08-14T21:37:27.6357598Z torch_library 2025-08-14T21:37:27.6357805Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:27.6357994Z   2025-08-14T21:37:27.6359443Z Output Library: 2025-08-14T21:37:27.6359647Z fbgemm_gpu_config 2025-08-14T21:37:27.6359846Z   2025-08-14T21:37:27.6359959Z Destination Directory: 2025-08-14T21:37:27.6360090Z fbgemm_gpu 2025-08-14T21:37:27.6360246Z ================================================================================ 2025-08-14T21:37:27.6360397Z  2025-08-14T21:37:27.6360555Z -- Writing tmp_Ar2L3YZffPkg5j3m into file - file_tmp_Ar2L3YZffPkg5j3m.txt 2025-08-14T21:37:27.6566006Z  2025-08-14T21:37:27.6566349Z  2025-08-14T21:37:27.6572450Z ================================================================================ 2025-08-14T21:37:27.6573043Z GPU CPP Library Target: fbgemm_gpu_tbe_utils (SHARED) 2025-08-14T21:37:27.6573458Z   2025-08-14T21:37:27.6573721Z CPU_SRCS: 2025-08-14T21:37:27.6574167Z src/split_embeddings_utils/split_embeddings_utils_cpu.cpp 2025-08-14T21:37:27.6574764Z src/split_embeddings_utils/split_embeddings_utils_meta.cpp 2025-08-14T21:37:27.6575206Z   2025-08-14T21:37:27.6575458Z GPU_SRCS: 2025-08-14T21:37:27.6575865Z src/split_embeddings_utils/split_embeddings_utils.cpp 2025-08-14T21:37:27.6576563Z src/split_embeddings_utils/generate_vbe_metadata.cu 2025-08-14T21:37:27.6576997Z src/split_embeddings_utils/get_infos_metadata.cu 2025-08-14T21:37:27.6577278Z src/split_embeddings_utils/radix_sort_pairs.cu 2025-08-14T21:37:27.6577468Z src/split_embeddings_utils/transpose_embedding_input.cu 2025-08-14T21:37:27.6577617Z   2025-08-14T21:37:27.6577717Z CUDA_SPECIFIC_SRCS: 2025-08-14T21:37:27.6577826Z  2025-08-14T21:37:27.6577911Z   2025-08-14T21:37:27.6578010Z HIP_SPECIFIC_SRCS: 2025-08-14T21:37:27.6578115Z  2025-08-14T21:37:27.6578200Z   2025-08-14T21:37:27.6579741Z OTHER_SRCS: 2025-08-14T21:37:27.6579838Z  2025-08-14T21:37:27.6579922Z   2025-08-14T21:37:27.6580011Z CC_FLAGS: 2025-08-14T21:37:27.6580105Z  2025-08-14T21:37:27.6580186Z   2025-08-14T21:37:27.6580274Z NVCC_FLAGS: 2025-08-14T21:37:27.6580370Z  2025-08-14T21:37:27.6580456Z   2025-08-14T21:37:27.6580545Z HIPCC_FLAGS: 2025-08-14T21:37:27.6580644Z  2025-08-14T21:37:27.6581808Z   2025-08-14T21:37:27.6581908Z INCLUDE_DIRS: 2025-08-14T21:37:27.6582155Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:27.6582340Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:27.6582519Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:27.6582711Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:27.6582930Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:27.6583200Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:27.6583465Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src 2025-08-14T21:37:27.6583711Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cpuinfo/include 2025-08-14T21:37:27.6583957Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/include 2025-08-14T21:37:27.6585266Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/tools/util/include 2025-08-14T21:37:27.6585555Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/include 2025-08-14T21:37:27.6585849Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/library/include 2025-08-14T21:37:27.6586119Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/json/include 2025-08-14T21:37:27.6586285Z   2025-08-14T21:37:27.6586390Z Selected Source Files: 2025-08-14T21:37:27.6586655Z src/split_embeddings_utils/split_embeddings_utils_cpu.cpp 2025-08-14T21:37:27.6586867Z src/split_embeddings_utils/split_embeddings_utils_meta.cpp 2025-08-14T21:37:27.6587130Z src/split_embeddings_utils/split_embeddings_utils.cpp 2025-08-14T21:37:27.6587326Z src/split_embeddings_utils/generate_vbe_metadata.cu 2025-08-14T21:37:27.6587513Z src/split_embeddings_utils/get_infos_metadata.cu 2025-08-14T21:37:27.6588721Z src/split_embeddings_utils/radix_sort_pairs.cu 2025-08-14T21:37:27.6588915Z src/split_embeddings_utils/transpose_embedding_input.cu 2025-08-14T21:37:27.6589065Z   2025-08-14T21:37:27.6589167Z HIPified Source Files: 2025-08-14T21:37:27.6589414Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_utils/split_embeddings_utils_cpu.cpp 2025-08-14T21:37:27.6589771Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_utils/split_embeddings_utils_meta.cpp 2025-08-14T21:37:27.6590128Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_utils/split_embeddings_utils_hip.cpp 2025-08-14T21:37:27.6590469Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_utils/generate_vbe_metadata.hip 2025-08-14T21:37:27.6590801Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_utils/get_infos_metadata.hip 2025-08-14T21:37:27.6591121Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_utils/radix_sort_pairs.hip 2025-08-14T21:37:27.6591458Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/split_embeddings_utils/transpose_embedding_input.hip 2025-08-14T21:37:27.6592702Z   2025-08-14T21:37:27.6592804Z Library Dependencies: 2025-08-14T21:37:27.6592917Z torch 2025-08-14T21:37:27.6593017Z torch_library 2025-08-14T21:37:27.6593198Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:27.6593365Z   2025-08-14T21:37:27.6593459Z Output Library: 2025-08-14T21:37:27.6593577Z fbgemm_gpu_tbe_utils 2025-08-14T21:37:27.6593683Z   2025-08-14T21:37:27.6593781Z Destination Directory: 2025-08-14T21:37:27.6593895Z fbgemm_gpu 2025-08-14T21:37:27.6595037Z ================================================================================ 2025-08-14T21:37:27.6595168Z  2025-08-14T21:37:27.6595307Z -- Writing tmp_P2UUhuvPziuWG7Ug into file - file_tmp_P2UUhuvPziuWG7Ug.txt 2025-08-14T21:37:27.6766363Z  2025-08-14T21:37:27.6766795Z  2025-08-14T21:37:27.6767370Z ================================================================================ 2025-08-14T21:37:27.6767975Z GPU CPP Library Target: fbgemm_gpu_sparse_async_cumsum (SHARED) 2025-08-14T21:37:27.6768420Z   2025-08-14T21:37:27.6768686Z CPU_SRCS: 2025-08-14T21:37:27.6769044Z src/sparse_ops/sparse_async_cumsum.cpp 2025-08-14T21:37:27.6774486Z   2025-08-14T21:37:27.6774808Z GPU_SRCS: 2025-08-14T21:37:27.6775199Z src/sparse_ops/sparse_async_cumsum.cu 2025-08-14T21:37:27.6775559Z   2025-08-14T21:37:27.6775851Z CUDA_SPECIFIC_SRCS: 2025-08-14T21:37:27.6776165Z  2025-08-14T21:37:27.6776563Z   2025-08-14T21:37:27.6776837Z HIP_SPECIFIC_SRCS: 2025-08-14T21:37:27.6777132Z  2025-08-14T21:37:27.6777282Z   2025-08-14T21:37:27.6777410Z OTHER_SRCS: 2025-08-14T21:37:27.6777558Z  2025-08-14T21:37:27.6778961Z   2025-08-14T21:37:27.6779064Z CC_FLAGS: 2025-08-14T21:37:27.6779157Z  2025-08-14T21:37:27.6779247Z   2025-08-14T21:37:27.6779335Z NVCC_FLAGS: 2025-08-14T21:37:27.6779428Z  2025-08-14T21:37:27.6779513Z   2025-08-14T21:37:27.6779603Z HIPCC_FLAGS: 2025-08-14T21:37:27.6779700Z  2025-08-14T21:37:27.6779783Z   2025-08-14T21:37:27.6779873Z INCLUDE_DIRS: 2025-08-14T21:37:27.6781092Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:27.6781288Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:27.6781468Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:27.6781663Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:27.6781956Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:27.6782231Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:27.6782501Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src 2025-08-14T21:37:27.6782744Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cpuinfo/include 2025-08-14T21:37:27.6782992Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/include 2025-08-14T21:37:27.6783259Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/tools/util/include 2025-08-14T21:37:27.6783540Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/include 2025-08-14T21:37:27.6784861Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/library/include 2025-08-14T21:37:27.6785142Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/json/include 2025-08-14T21:37:27.6785316Z   2025-08-14T21:37:27.6785420Z Selected Source Files: 2025-08-14T21:37:27.6785563Z src/sparse_ops/sparse_async_cumsum.cpp 2025-08-14T21:37:27.6785716Z src/sparse_ops/sparse_async_cumsum.cu 2025-08-14T21:37:27.6785838Z   2025-08-14T21:37:27.6785938Z HIPified Source Files: 2025-08-14T21:37:27.6786159Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_async_cumsum_hip.cpp 2025-08-14T21:37:27.6786537Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/sparse_ops/sparse_async_cumsum.hip 2025-08-14T21:37:27.6786723Z   2025-08-14T21:37:27.6787837Z Library Dependencies: 2025-08-14T21:37:27.6787961Z torch 2025-08-14T21:37:27.6788060Z torch_library 2025-08-14T21:37:27.6788241Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:27.6788423Z fbgemm_gpu_tbe_utils 2025-08-14T21:37:27.6788533Z   2025-08-14T21:37:27.6788632Z Output Library: 2025-08-14T21:37:27.6788755Z fbgemm_gpu_sparse_async_cumsum 2025-08-14T21:37:27.6788873Z   2025-08-14T21:37:27.6788973Z Destination Directory: 2025-08-14T21:37:27.6789088Z fbgemm_gpu 2025-08-14T21:37:27.6790216Z ================================================================================ 2025-08-14T21:37:27.6790400Z  2025-08-14T21:37:27.6790536Z -- Writing tmp_wm754JoojmvdHhSh into file - file_tmp_wm754JoojmvdHhSh.txt 2025-08-14T21:37:27.6992625Z  2025-08-14T21:37:27.6992936Z  2025-08-14T21:37:27.6993325Z ================================================================================ 2025-08-14T21:37:27.6993888Z GPU CPP Library Target: fbgemm_gpu_tbe_common (SHARED) 2025-08-14T21:37:27.6994309Z   2025-08-14T21:37:27.6994571Z CPU_SRCS: 2025-08-14T21:37:27.6994935Z codegen/utils/embedding_bounds_check_host_cpu.cpp 2025-08-14T21:37:27.6995494Z codegen/training/forward/embedding_forward_split_cpu.cpp 2025-08-14T21:37:27.7001462Z codegen/training/forward/embedding_forward_split_nobag_cpu.cpp 2025-08-14T21:37:27.7002039Z codegen/training/pt2/pt2_autograd_utils.cpp 2025-08-14T21:37:27.7002423Z   2025-08-14T21:37:27.7002687Z GPU_SRCS: 2025-08-14T21:37:27.7003063Z codegen/utils/embedding_bounds_check_v1.cu 2025-08-14T21:37:27.7003515Z codegen/utils/embedding_bounds_check_v2.cu 2025-08-14T21:37:27.7003982Z codegen/utils/embedding_bounds_check_host.cpp 2025-08-14T21:37:27.7004356Z   2025-08-14T21:37:27.7004631Z CUDA_SPECIFIC_SRCS: 2025-08-14T21:37:27.7004933Z  2025-08-14T21:37:27.7005174Z   2025-08-14T21:37:27.7005443Z HIP_SPECIFIC_SRCS: 2025-08-14T21:37:27.7005738Z  2025-08-14T21:37:27.7005967Z   2025-08-14T21:37:27.7006217Z OTHER_SRCS: 2025-08-14T21:37:27.7007983Z  2025-08-14T21:37:27.7008072Z   2025-08-14T21:37:27.7008254Z CC_FLAGS: 2025-08-14T21:37:27.7008347Z  2025-08-14T21:37:27.7008432Z   2025-08-14T21:37:27.7008521Z NVCC_FLAGS: 2025-08-14T21:37:27.7008638Z --expt-relaxed-constexpr 2025-08-14T21:37:27.7008785Z -D__CUDA_NO_HALF_OPERATORS__ 2025-08-14T21:37:27.7008927Z -D__CUDA_NO_BFLOAT16_CONVERSIONS__ 2025-08-14T21:37:27.7009070Z -D__CUDA_NO_HALF2_OPERATORS__ 2025-08-14T21:37:27.7009184Z   2025-08-14T21:37:27.7010381Z HIPCC_FLAGS: 2025-08-14T21:37:27.7010481Z  2025-08-14T21:37:27.7010564Z   2025-08-14T21:37:27.7010655Z INCLUDE_DIRS: 2025-08-14T21:37:27.7010811Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:27.7010998Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:27.7011176Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:27.7011369Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:27.7011588Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:27.7011869Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:27.7012137Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src 2025-08-14T21:37:27.7013427Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cpuinfo/include 2025-08-14T21:37:27.7013677Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/include 2025-08-14T21:37:27.7013945Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/tools/util/include 2025-08-14T21:37:27.7014226Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/include 2025-08-14T21:37:27.7014522Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/library/include 2025-08-14T21:37:27.7014794Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/json/include 2025-08-14T21:37:27.7014964Z   2025-08-14T21:37:27.7015074Z Selected Source Files: 2025-08-14T21:37:27.7015236Z codegen/utils/embedding_bounds_check_host_cpu.cpp 2025-08-14T21:37:27.7015437Z codegen/training/forward/embedding_forward_split_cpu.cpp 2025-08-14T21:37:27.7015660Z codegen/training/forward/embedding_forward_split_nobag_cpu.cpp 2025-08-14T21:37:27.7017016Z codegen/training/pt2/pt2_autograd_utils.cpp 2025-08-14T21:37:27.7017189Z codegen/utils/embedding_bounds_check_host.cpp 2025-08-14T21:37:27.7017356Z codegen/utils/embedding_bounds_check_v1.cu 2025-08-14T21:37:27.7017519Z codegen/utils/embedding_bounds_check_v2.cu 2025-08-14T21:37:27.7017648Z   2025-08-14T21:37:27.7017749Z HIPified Source Files: 2025-08-14T21:37:27.7017991Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/utils/embedding_bounds_check_host_cpu_hip.cpp 2025-08-14T21:37:27.7018350Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp 2025-08-14T21:37:27.7018739Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_nobag_cpu_hip.cpp 2025-08-14T21:37:27.7019086Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/pt2/pt2_autograd_utils.cpp 2025-08-14T21:37:27.7019408Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/utils/embedding_bounds_check_host_hip.cpp 2025-08-14T21:37:27.7020778Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/utils/embedding_bounds_check_v1.hip 2025-08-14T21:37:27.7021081Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/utils/embedding_bounds_check_v2.hip 2025-08-14T21:37:27.7021273Z   2025-08-14T21:37:27.7021375Z Library Dependencies: 2025-08-14T21:37:27.7021489Z torch 2025-08-14T21:37:27.7021587Z torch_library 2025-08-14T21:37:27.7021767Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:27.7021936Z fbgemm 2025-08-14T21:37:27.7022096Z fbgemm_gpu_config 2025-08-14T21:37:27.7022201Z   2025-08-14T21:37:27.7022294Z Output Library: 2025-08-14T21:37:27.7023461Z fbgemm_gpu_tbe_common 2025-08-14T21:37:27.7023572Z   2025-08-14T21:37:27.7023672Z Destination Directory: 2025-08-14T21:37:27.7023786Z fbgemm_gpu 2025-08-14T21:37:27.7023925Z ================================================================================ 2025-08-14T21:37:27.7024057Z  2025-08-14T21:37:27.7024193Z -- Writing tmp_ooCbgo7Ojr95wUae into file - file_tmp_ooCbgo7Ojr95wUae.txt 2025-08-14T21:37:27.7191206Z  2025-08-14T21:37:27.7191495Z  2025-08-14T21:37:27.7191878Z ================================================================================ 2025-08-14T21:37:27.7196780Z GPU CPP Library Target: fbgemm_gpu_tbe_optimizers (SHARED) 2025-08-14T21:37:27.7196942Z   2025-08-14T21:37:27.7197036Z CPU_SRCS: 2025-08-14T21:37:27.7197134Z  2025-08-14T21:37:27.7197225Z   2025-08-14T21:37:27.7197313Z GPU_SRCS: 2025-08-14T21:37:27.7197617Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_split.cpp 2025-08-14T21:37:27.7198088Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_split_cuda.cu 2025-08-14T21:37:27.7198548Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_split_kernel.cu 2025-08-14T21:37:27.7198816Z   2025-08-14T21:37:27.7198916Z CUDA_SPECIFIC_SRCS: 2025-08-14T21:37:27.7199029Z  2025-08-14T21:37:27.7200588Z   2025-08-14T21:37:27.7200701Z HIP_SPECIFIC_SRCS: 2025-08-14T21:37:27.7200807Z  2025-08-14T21:37:27.7200893Z   2025-08-14T21:37:27.7200982Z OTHER_SRCS: 2025-08-14T21:37:27.7201078Z  2025-08-14T21:37:27.7201160Z   2025-08-14T21:37:27.7201254Z CC_FLAGS: 2025-08-14T21:37:27.7201345Z  2025-08-14T21:37:27.7201428Z   2025-08-14T21:37:27.7201514Z NVCC_FLAGS: 2025-08-14T21:37:27.7201635Z --expt-relaxed-constexpr 2025-08-14T21:37:27.7202907Z -D__CUDA_NO_HALF_OPERATORS__ 2025-08-14T21:37:27.7203050Z -D__CUDA_NO_BFLOAT16_CONVERSIONS__ 2025-08-14T21:37:27.7203290Z -D__CUDA_NO_HALF2_OPERATORS__ 2025-08-14T21:37:27.7203410Z   2025-08-14T21:37:27.7203502Z HIPCC_FLAGS: 2025-08-14T21:37:27.7203601Z  2025-08-14T21:37:27.7203685Z   2025-08-14T21:37:27.7203776Z INCLUDE_DIRS: 2025-08-14T21:37:27.7203946Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:27.7204131Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:27.7205546Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:27.7205756Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:27.7205983Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:27.7206255Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:27.7206616Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src 2025-08-14T21:37:27.7206865Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cpuinfo/include 2025-08-14T21:37:27.7207115Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/include 2025-08-14T21:37:27.7207383Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/tools/util/include 2025-08-14T21:37:27.7207663Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/include 2025-08-14T21:37:27.7207963Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/library/include 2025-08-14T21:37:27.7208237Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/json/include 2025-08-14T21:37:27.7209560Z   2025-08-14T21:37:27.7209672Z Selected Source Files: 2025-08-14T21:37:27.7209974Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_split.cpp 2025-08-14T21:37:27.7210428Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_split_cuda.cu 2025-08-14T21:37:27.7210882Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_split_kernel.cu 2025-08-14T21:37:27.7211147Z   2025-08-14T21:37:27.7211248Z HIPified Source Files: 2025-08-14T21:37:27.7211545Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_split_hip.cpp 2025-08-14T21:37:27.7211999Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_split_hip.hip 2025-08-14T21:37:27.7212458Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_optimizer_rowwise_adagrad_split_kernel.hip 2025-08-14T21:37:27.7212726Z   2025-08-14T21:37:27.7213897Z Library Dependencies: 2025-08-14T21:37:27.7214012Z torch 2025-08-14T21:37:27.7214112Z torch_library 2025-08-14T21:37:27.7214296Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:27.7214463Z   2025-08-14T21:37:27.7214557Z Output Library: 2025-08-14T21:37:27.7214676Z fbgemm_gpu_tbe_optimizers 2025-08-14T21:37:27.7214791Z   2025-08-14T21:37:27.7214890Z Destination Directory: 2025-08-14T21:37:27.7215004Z fbgemm_gpu 2025-08-14T21:37:27.7215139Z ================================================================================ 2025-08-14T21:37:27.7216320Z  2025-08-14T21:37:27.7216530Z -- Writing tmp_5i70Bu8tUxjdA1WL into file - file_tmp_5i70Bu8tUxjdA1WL.txt 2025-08-14T21:37:27.7561547Z  2025-08-14T21:37:27.7609570Z  2025-08-14T21:37:27.7611134Z ================================================================================ 2025-08-14T21:37:27.7611469Z GPU CPP Library Target: fbgemm_gpu_tbe_training_forward (SHARED) 2025-08-14T21:37:27.7611653Z   2025-08-14T21:37:27.7612235Z CPU_SRCS: 2025-08-14T21:37:27.7612579Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_pt2_cpu_wrapper.cpp 2025-08-14T21:37:27.7618956Z   2025-08-14T21:37:27.7619095Z GPU_SRCS: 2025-08-14T21:37:27.7619408Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_weighted_kernel.cu 2025-08-14T21:37:27.7619858Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_weighted_kernel.cu 2025-08-14T21:37:27.7620294Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_weighted_kernel.cu 2025-08-14T21:37:27.7620758Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_nobag_kernel.cu 2025-08-14T21:37:27.7621213Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_unweighted_nobag_kernel.cu 2025-08-14T21:37:27.7621660Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_unweighted_nobag_kernel.cu 2025-08-14T21:37:27.7622097Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_kernel.cu 2025-08-14T21:37:27.7622535Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_unweighted_kernel.cu 2025-08-14T21:37:27.7622979Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_unweighted_kernel.cu 2025-08-14T21:37:27.7623581Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_weighted_codegen_cuda.cu 2025-08-14T21:37:27.7624048Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_weighted_codegen_meta.cpp 2025-08-14T21:37:27.7624511Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_codegen_cuda.cu 2025-08-14T21:37:27.7624980Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_codegen_meta.cpp 2025-08-14T21:37:27.7625446Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_weighted_codegen_cuda.cu 2025-08-14T21:37:27.7625911Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_weighted_codegen_meta.cpp 2025-08-14T21:37:27.7626371Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_unweighted_codegen_cuda.cu 2025-08-14T21:37:27.7626938Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_unweighted_codegen_meta.cpp 2025-08-14T21:37:27.7627400Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_weighted_codegen_cuda.cu 2025-08-14T21:37:27.7627854Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_weighted_codegen_meta.cpp 2025-08-14T21:37:27.7628310Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_unweighted_codegen_cuda.cu 2025-08-14T21:37:27.7628775Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_unweighted_codegen_meta.cpp 2025-08-14T21:37:27.7629274Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_weighted_vbe_codegen_cuda.cu 2025-08-14T21:37:27.7629795Z 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/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_weighted_vbe_codegen_cuda.cu 2025-08-14T21:37:27.7633018Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_weighted_vbe_kernel.cu 2025-08-14T21:37:27.7633469Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_weighted_vbe_gwd_kernel.cu 2025-08-14T21:37:27.7636034Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_weighted_vbe_codegen_cuda.cu 2025-08-14T21:37:27.7636628Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_weighted_vbe_codegen_meta.cpp 2025-08-14T21:37:27.7637077Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_weighted_vbe_kernel.cu 2025-08-14T21:37:27.7637539Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_vbe_codegen_cuda.cu 2025-08-14T21:37:27.7638003Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_vbe_codegen_meta.cpp 2025-08-14T21:37:27.7638455Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_vbe_kernel.cu 2025-08-14T21:37:27.7638898Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_v2_kernel.cu 2025-08-14T21:37:27.7639353Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_gwd_codegen_cuda.cu 2025-08-14T21:37:27.7639960Z /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 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/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_unweighted_vbe_codegen_meta.cpp 2025-08-14T21:37:27.7643192Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_unweighted_vbe_kernel.cu 2025-08-14T21:37:27.7643643Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_nobag_kernel_small.cu 2025-08-14T21:37:27.7644109Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_unweighted_nobag_kernel_small.cu 2025-08-14T21:37:27.7644574Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_unweighted_nobag_kernel_small.cu 2025-08-14T21:37:27.7648061Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_pt2_cuda_wrapper.cpp 2025-08-14T21:37:27.7648506Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_pt2_cuda_wrapper.cpp 2025-08-14T21:37:27.7648760Z   2025-08-14T21:37:27.7648869Z CUDA_SPECIFIC_SRCS: 2025-08-14T21:37:27.7648979Z  2025-08-14T21:37:27.7649064Z   2025-08-14T21:37:27.7649163Z HIP_SPECIFIC_SRCS: 2025-08-14T21:37:27.7649269Z  2025-08-14T21:37:27.7649352Z   2025-08-14T21:37:27.7649442Z OTHER_SRCS: 2025-08-14T21:37:27.7649536Z  2025-08-14T21:37:27.7650838Z   2025-08-14T21:37:27.7650931Z CC_FLAGS: 2025-08-14T21:37:27.7651023Z  2025-08-14T21:37:27.7651106Z   2025-08-14T21:37:27.7651259Z NVCC_FLAGS: 2025-08-14T21:37:27.7651380Z --expt-relaxed-constexpr 2025-08-14T21:37:27.7651519Z -D__CUDA_NO_HALF_OPERATORS__ 2025-08-14T21:37:27.7651664Z -D__CUDA_NO_BFLOAT16_CONVERSIONS__ 2025-08-14T21:37:27.7651806Z -D__CUDA_NO_HALF2_OPERATORS__ 2025-08-14T21:37:27.7651922Z   2025-08-14T21:37:27.7652014Z HIPCC_FLAGS: 2025-08-14T21:37:27.7653186Z  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/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_weighted_vbe_kernel.hip 2025-08-14T21:37:27.7709179Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_vbe_codegen_hip.hip 2025-08-14T21:37:27.7709632Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_vbe_kernel.hip 2025-08-14T21:37:27.7710075Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_v2_kernel.hip 2025-08-14T21:37:27.7710528Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_gwd_codegen_hip.hip 2025-08-14T21:37:27.7711036Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_vbe_gwd_codegen_hip.hip 2025-08-14T21:37:27.7711494Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_gwd_kernel.hip 2025-08-14T21:37:27.7712932Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_unweighted_vbe_codegen_hip.hip 2025-08-14T21:37:27.7713390Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_unweighted_vbe_kernel.hip 2025-08-14T21:37:27.7713842Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_vbe_gwd_kernel.hip 2025-08-14T21:37:27.7714306Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_unweighted_vbe_codegen_hip.hip 2025-08-14T21:37:27.7714760Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_unweighted_vbe_kernel.hip 2025-08-14T21:37:27.7715216Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_split_unweighted_nobag_kernel_small.hip 2025-08-14T21:37:27.7715685Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_dense_unweighted_nobag_kernel_small.hip 2025-08-14T21:37:27.7716153Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_forward_ssd_unweighted_nobag_kernel_small.hip 2025-08-14T21:37:27.7716518Z   2025-08-14T21:37:27.7716693Z Library Dependencies: 2025-08-14T21:37:27.7716808Z torch 2025-08-14T21:37:27.7717901Z torch_library 2025-08-14T21:37:27.7718093Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:27.7718281Z fbgemm_gpu_tbe_common 2025-08-14T21:37:27.7718391Z   2025-08-14T21:37:27.7718490Z Output Library: 2025-08-14T21:37:27.7718614Z fbgemm_gpu_tbe_training_forward 2025-08-14T21:37:27.7718733Z   2025-08-14T21:37:27.7718834Z Destination Directory: 2025-08-14T21:37:27.7718949Z fbgemm_gpu 2025-08-14T21:37:27.7719085Z ================================================================================ 2025-08-14T21:37:27.7719217Z  2025-08-14T21:37:27.7720398Z -- Writing tmp_9fugvrVDiVIolKag into file - file_tmp_9fugvrVDiVIolKag.txt 2025-08-14T21:37:27.7979333Z  2025-08-14T21:37:27.7980592Z  2025-08-14T21:37:27.7980877Z ================================================================================ 2025-08-14T21:37:27.7981213Z GPU CPP Library Target: fbgemm_gpu_tbe_training_backward_pt2 (SHARED) 2025-08-14T21:37:27.7981412Z   2025-08-14T21:37:27.7981529Z CPU_SRCS: 2025-08-14T21:37:27.7981865Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_adagrad_pt2_autograd.cpp 2025-08-14T21:37:27.7982346Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_rowwise_adagrad_pt2_autograd.cpp 2025-08-14T21:37:27.7988767Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_sgd_pt2_autograd.cpp 2025-08-14T21:37:27.7989264Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_adam_pt2_autograd.cpp 2025-08-14T21:37:27.7989700Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_lamb_pt2_autograd.cpp 2025-08-14T21:37:27.7990129Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_lars_sgd_pt2_autograd.cpp 2025-08-14T21:37:27.7990583Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_partial_rowwise_adam_pt2_autograd.cpp 2025-08-14T21:37:27.7991298Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_partial_rowwise_lamb_pt2_autograd.cpp 2025-08-14T21:37:27.7991748Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_none_pt2_autograd.cpp 2025-08-14T21:37:27.7992207Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_rowwise_adagrad_with_counter_pt2_autograd.cpp 2025-08-14T21:37:27.7992672Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_approx_sgd_pt2_autograd.cpp 2025-08-14T21:37:27.7993137Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_approx_rowwise_adagrad_pt2_autograd.cpp 2025-08-14T21:37:27.7993656Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_approx_rowwise_adagrad_with_counter_pt2_autograd.cpp 2025-08-14T21:37:27.7994194Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_approx_rowwise_adagrad_with_weight_decay_pt2_autograd.cpp 2025-08-14T21:37:27.7994726Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_rowwise_adagrad_with_weight_decay_pt2_autograd.cpp 2025-08-14T21:37:27.7995232Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_split_rowwise_weighted_adagrad_pt2_autograd.cpp 2025-08-14T21:37:27.7995708Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_ssd_rowwise_adagrad_pt2_autograd.cpp 2025-08-14T21:37:27.7996291Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_adagrad_pt2_cpu_wrapper.cpp 2025-08-14T21:37:27.7996883Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_adagrad_pt2_cpu_wrapper.cpp 2025-08-14T21:37:27.7997375Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_sgd_pt2_cpu_wrapper.cpp 2025-08-14T21:37:27.7997844Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_adam_pt2_cpu_wrapper.cpp 2025-08-14T21:37:27.7998314Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_lamb_pt2_cpu_wrapper.cpp 2025-08-14T21:37:27.7998794Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_lars_sgd_pt2_cpu_wrapper.cpp 2025-08-14T21:37:27.7999295Z /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 2025-08-14T21:37:27.7999882Z /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 2025-08-14T21:37:27.8000369Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_none_pt2_cpu_wrapper.cpp 2025-08-14T21:37:27.8000874Z /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 2025-08-14T21:37:27.8001418Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_sgd_pt2_cpu_wrapper.cpp 2025-08-14T21:37:27.8001927Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_rowwise_adagrad_pt2_cpu_wrapper.cpp 2025-08-14T21:37:27.8002521Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_rowwise_adagrad_with_counter_pt2_cpu_wrapper.cpp 2025-08-14T21:37:27.8003095Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_rowwise_adagrad_with_weight_decay_pt2_cpu_wrapper.cpp 2025-08-14T21:37:27.8005399Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_adagrad_with_weight_decay_pt2_cpu_wrapper.cpp 2025-08-14T21:37:27.8006282Z /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 2025-08-14T21:37:27.8007026Z   2025-08-14T21:37:27.8007173Z GPU_SRCS: 2025-08-14T21:37:27.8007617Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_adagrad_pt2_cuda_wrapper.cpp 2025-08-14T21:37:27.8008363Z /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 2025-08-14T21:37:27.8009087Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_sgd_pt2_cuda_wrapper.cpp 2025-08-14T21:37:27.8009803Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_adam_pt2_cuda_wrapper.cpp 2025-08-14T21:37:27.8010507Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_lamb_pt2_cuda_wrapper.cpp 2025-08-14T21:37:27.8011313Z /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 2025-08-14T21:37:27.8012070Z /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 2025-08-14T21:37:27.8012856Z /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 2025-08-14T21:37:27.8013592Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_none_pt2_cuda_wrapper.cpp 2025-08-14T21:37:27.8014358Z /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 2025-08-14T21:37:27.8015128Z /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 2025-08-14T21:37:27.8015900Z 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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 2025-08-14T21:37:27.8107857Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_adagrad_pt2_hip_wrapper.cpp 2025-08-14T21:37:27.8108331Z /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 2025-08-14T21:37:27.8108802Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_sgd_pt2_hip_wrapper.cpp 2025-08-14T21:37:27.8109314Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_adam_pt2_hip_wrapper.cpp 2025-08-14T21:37:27.8110989Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_lamb_pt2_hip_wrapper.cpp 2025-08-14T21:37:27.8111450Z /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 2025-08-14T21:37:27.8111935Z /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 2025-08-14T21:37:27.8112437Z /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 2025-08-14T21:37:27.8112915Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_none_pt2_hip_wrapper.cpp 2025-08-14T21:37:27.8113404Z /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 2025-08-14T21:37:27.8113900Z /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 2025-08-14T21:37:27.8114394Z /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 2025-08-14T21:37:27.8114922Z /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 2025-08-14T21:37:27.8115484Z /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 2025-08-14T21:37:27.8116040Z /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 2025-08-14T21:37:27.8117798Z /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 2025-08-14T21:37:27.8118295Z /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 2025-08-14T21:37:27.8118572Z   2025-08-14T21:37:27.8118679Z Library Dependencies: 2025-08-14T21:37:27.8118798Z torch 2025-08-14T21:37:27.8118897Z torch_library 2025-08-14T21:37:27.8119083Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:27.8119258Z fbgemm 2025-08-14T21:37:27.8119363Z fbgemm_gpu_config 2025-08-14T21:37:27.8119488Z fbgemm_gpu_tbe_cache 2025-08-14T21:37:27.8119610Z fbgemm_gpu_tbe_common 2025-08-14T21:37:27.8120892Z fbgemm_gpu_tbe_utils 2025-08-14T21:37:27.8121023Z fbgemm_gpu_sparse_async_cumsum 2025-08-14T21:37:27.8121144Z   2025-08-14T21:37:27.8121246Z Output Library: 2025-08-14T21:37:27.8121377Z fbgemm_gpu_tbe_training_backward_pt2 2025-08-14T21:37:27.8121505Z   2025-08-14T21:37:27.8121607Z Destination Directory: 2025-08-14T21:37:27.8121722Z fbgemm_gpu 2025-08-14T21:37:27.8121859Z ================================================================================ 2025-08-14T21:37:27.8121994Z  2025-08-14T21:37:27.8122138Z -- Writing tmp_NoyDgrJXn779NnKN into file - file_tmp_NoyDgrJXn779NnKN.txt 2025-08-14T21:37:27.8578681Z  2025-08-14T21:37:27.8579025Z  2025-08-14T21:37:27.8579429Z ================================================================================ 2025-08-14T21:37:27.8580250Z GPU CPP Library Target: fbgemm_gpu_tbe_training_backward (SHARED) 2025-08-14T21:37:27.8580720Z   2025-08-14T21:37:27.8580988Z CPU_SRCS: 2025-08-14T21:37:27.8581478Z codegen/training/backward/embedding_backward_dense_host_cpu.cpp 2025-08-14T21:37:27.8582489Z /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 2025-08-14T21:37:27.8852008Z /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 2025-08-14T21:37:27.8852576Z /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 2025-08-14T21:37:27.8853122Z /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 2025-08-14T21:37:27.8853657Z /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 2025-08-14T21:37:27.8854210Z /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 2025-08-14T21:37:27.8854786Z /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 2025-08-14T21:37:27.8855274Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_weighted_device_kernel_hip.hip 2025-08-14T21:37:27.8855752Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_unweighted_device_kernel_hip.hip 2025-08-14T21:37:27.8857257Z   2025-08-14T21:37:27.8857369Z Library Dependencies: 2025-08-14T21:37:27.8857489Z torch 2025-08-14T21:37:27.8857593Z torch_library 2025-08-14T21:37:27.8857783Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:27.8857959Z fbgemm 2025-08-14T21:37:27.8858063Z fbgemm_gpu_config 2025-08-14T21:37:27.8858183Z fbgemm_gpu_tbe_cache 2025-08-14T21:37:27.8858306Z fbgemm_gpu_tbe_common 2025-08-14T21:37:27.8858434Z fbgemm_gpu_tbe_utils 2025-08-14T21:37:27.8858563Z fbgemm_gpu_sparse_async_cumsum 2025-08-14T21:37:27.8860064Z   2025-08-14T21:37:27.8860163Z Output Library: 2025-08-14T21:37:27.8860289Z fbgemm_gpu_tbe_training_backward 2025-08-14T21:37:27.8860411Z   2025-08-14T21:37:27.8860513Z Destination Directory: 2025-08-14T21:37:27.8860629Z fbgemm_gpu 2025-08-14T21:37:27.8860765Z ================================================================================ 2025-08-14T21:37:27.8860900Z  2025-08-14T21:37:27.8861055Z -- Writing tmp_DNe81MS8Sou40kpH into file - file_tmp_DNe81MS8Sou40kpH.txt 2025-08-14T21:37:27.8861276Z  2025-08-14T21:37:27.8861359Z  2025-08-14T21:37:27.8862548Z ================================================================================ 2025-08-14T21:37:27.8862762Z GPU CPP Library Target: fbgemm_gpu_tbe_training_backward_gwd (SHARED) 2025-08-14T21:37:27.8862928Z   2025-08-14T21:37:27.8863022Z CPU_SRCS: 2025-08-14T21:37:27.8863114Z  2025-08-14T21:37:27.8863197Z   2025-08-14T21:37:27.8863286Z GPU_SRCS: 2025-08-14T21:37:27.8863596Z /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 2025-08-14T21:37:27.8864097Z /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 2025-08-14T21:37:27.8864608Z /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 2025-08-14T21:37:27.8865118Z /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 2025-08-14T21:37:27.8866698Z /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 2025-08-14T21:37:27.8867215Z /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 2025-08-14T21:37:27.8867721Z /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 2025-08-14T21:37:27.8868227Z /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 2025-08-14T21:37:27.8868748Z /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 2025-08-14T21:37:27.8869307Z /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 2025-08-14T21:37:27.8869818Z /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 2025-08-14T21:37:27.8870338Z /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 2025-08-14T21:37:27.8870634Z   2025-08-14T21:37:27.8870733Z CUDA_SPECIFIC_SRCS: 2025-08-14T21:37:27.8871858Z  2025-08-14T21:37:27.8871949Z   2025-08-14T21:37:27.8872046Z HIP_SPECIFIC_SRCS: 2025-08-14T21:37:27.8872157Z  2025-08-14T21:37:27.8872239Z   2025-08-14T21:37:27.8872329Z OTHER_SRCS: 2025-08-14T21:37:27.8872424Z  2025-08-14T21:37:27.8872507Z   2025-08-14T21:37:27.8872595Z CC_FLAGS: 2025-08-14T21:37:27.8872687Z  2025-08-14T21:37:27.8872770Z   2025-08-14T21:37:27.8873875Z NVCC_FLAGS: 2025-08-14T21:37:27.8874005Z --expt-relaxed-constexpr 2025-08-14T21:37:27.8874143Z -D__CUDA_NO_HALF_OPERATORS__ 2025-08-14T21:37:27.8874287Z -D__CUDA_NO_BFLOAT16_CONVERSIONS__ 2025-08-14T21:37:27.8874430Z -D__CUDA_NO_HALF2_OPERATORS__ 2025-08-14T21:37:27.8874546Z   2025-08-14T21:37:27.8874636Z HIPCC_FLAGS: 2025-08-14T21:37:27.8874736Z  2025-08-14T21:37:27.8874820Z   2025-08-14T21:37:27.8874911Z INCLUDE_DIRS: 2025-08-14T21:37:27.8875064Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:27.8876244Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:27.8876562Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:27.8876758Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:27.8876976Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:27.8877251Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:27.8877518Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src 2025-08-14T21:37:27.8877762Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cpuinfo/include 2025-08-14T21:37:27.8878009Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/include 2025-08-14T21:37:27.8878275Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/tools/util/include 2025-08-14T21:37:27.8878555Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/include 2025-08-14T21:37:27.8878852Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/library/include 2025-08-14T21:37:27.8880211Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/json/include 2025-08-14T21:37:27.8880389Z   2025-08-14T21:37:27.8880492Z Selected Source Files: 2025-08-14T21:37:27.8880818Z /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 2025-08-14T21:37:27.8881318Z /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 2025-08-14T21:37:27.8881826Z /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 2025-08-14T21:37:27.8882328Z /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 2025-08-14T21:37:27.8882836Z /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 2025-08-14T21:37:27.8883393Z /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 2025-08-14T21:37:27.8883896Z /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 2025-08-14T21:37:27.8884401Z /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 2025-08-14T21:37:27.8885926Z /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 2025-08-14T21:37:27.8886504Z /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 2025-08-14T21:37:27.8887022Z /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 2025-08-14T21:37:27.8887549Z /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 2025-08-14T21:37:27.8887844Z   2025-08-14T21:37:27.8887944Z HIPified Source Files: 2025-08-14T21:37:27.8888263Z /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 2025-08-14T21:37:27.8888762Z /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 2025-08-14T21:37:27.8889328Z /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 2025-08-14T21:37:27.8889827Z /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 2025-08-14T21:37:27.8890332Z /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 2025-08-14T21:37:27.8891862Z /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 2025-08-14T21:37:27.8892371Z /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 2025-08-14T21:37:27.8892881Z /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 2025-08-14T21:37:27.8893405Z /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 2025-08-14T21:37:27.8893917Z /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 2025-08-14T21:37:27.8894428Z /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 2025-08-14T21:37:27.8894950Z /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 2025-08-14T21:37:27.8895248Z   2025-08-14T21:37:27.8895349Z Library Dependencies: 2025-08-14T21:37:27.8895467Z torch 2025-08-14T21:37:27.8895566Z torch_library 2025-08-14T21:37:27.8896913Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:27.8897110Z fbgemm_gpu_tbe_training_backward 2025-08-14T21:37:27.8897233Z   2025-08-14T21:37:27.8897331Z Output Library: 2025-08-14T21:37:27.8899602Z fbgemm_gpu_tbe_training_backward_gwd 2025-08-14T21:37:27.8899733Z   2025-08-14T21:37:27.8899832Z Destination Directory: 2025-08-14T21:37:27.8899948Z fbgemm_gpu 2025-08-14T21:37:27.8900082Z ================================================================================ 2025-08-14T21:37:27.8900213Z  2025-08-14T21:37:27.8900345Z -- Writing tmp_mglGl9mJ6vHCCbPb into file - file_tmp_mglGl9mJ6vHCCbPb.txt 2025-08-14T21:37:27.9182384Z  2025-08-14T21:37:27.9182523Z  2025-08-14T21:37:27.9183929Z ================================================================================ 2025-08-14T21:37:27.9184709Z GPU CPP Library Target: fbgemm_gpu_tbe_training_backward_vbe (SHARED) 2025-08-14T21:37:27.9185200Z   2025-08-14T21:37:27.9185480Z CPU_SRCS: 2025-08-14T21:37:27.9185770Z  2025-08-14T21:37:27.9186026Z   2025-08-14T21:37:27.9194270Z GPU_SRCS: 2025-08-14T21:37:27.9195317Z /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 2025-08-14T21:37:27.9196900Z /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 2025-08-14T21:37:27.9197596Z /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 2025-08-14T21:37:27.9198091Z /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 2025-08-14T21:37:27.9198794Z /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 2025-08-14T21:37:27.9199325Z /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 2025-08-14T21:37:27.9199917Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_weighted_vbe_meta.cpp 2025-08-14T21:37:27.9200373Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_unweighted_vbe_meta.cpp 2025-08-14T21:37:27.9200828Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_vbe_meta.cpp 2025-08-14T21:37:27.9201302Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_vbe_meta.cpp 2025-08-14T21:37:27.9201781Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_weighted_vbe_meta.cpp 2025-08-14T21:37:27.9202262Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_unweighted_vbe_meta.cpp 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/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_weighted_vbe_kernel_cta.hip 2025-08-14T21:37:27.9286880Z /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 2025-08-14T21:37:27.9287113Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adam_split_unweighted_vbe_hip.hip 2025-08-14T21:37:27.9287357Z /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 2025-08-14T21:37:27.9287602Z /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 2025-08-14T21:37:27.9287694Z   2025-08-14T21:37:27.9287756Z Library Dependencies: 2025-08-14T21:37:27.9288849Z torch 2025-08-14T21:37:27.9288906Z torch_library 2025-08-14T21:37:27.9289042Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:27.9289107Z fbgemm_gpu_tbe_training_backward 2025-08-14T21:37:27.9289149Z   2025-08-14T21:37:27.9289201Z Output Library: 2025-08-14T21:37:27.9289269Z fbgemm_gpu_tbe_training_backward_vbe 2025-08-14T21:37:27.9289311Z   2025-08-14T21:37:27.9289368Z Destination Directory: 2025-08-14T21:37:27.9289417Z fbgemm_gpu 2025-08-14T21:37:27.9289500Z ================================================================================ 2025-08-14T21:37:27.9289542Z  2025-08-14T21:37:27.9289637Z -- Writing tmp_sSvrQ7eeup76QuD0 into file - file_tmp_sSvrQ7eeup76QuD0.txt 2025-08-14T21:37:27.9444585Z  2025-08-14T21:37:27.9445310Z  2025-08-14T21:37:27.9445437Z ================================================================================ 2025-08-14T21:37:27.9445596Z GPU CPP Library Target: fbgemm_gpu_tbe_training_backward_dense (SHARED) 2025-08-14T21:37:27.9445652Z   2025-08-14T21:37:27.9445738Z CPU_SRCS: 2025-08-14T21:37:27.9445792Z  2025-08-14T21:37:27.9445855Z   2025-08-14T21:37:27.9449939Z GPU_SRCS: 2025-08-14T21:37:27.9450245Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_cuda.cu 2025-08-14T21:37:27.9450497Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_meta.cpp 2025-08-14T21:37:27.9450743Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_kernel_cta.cu 2025-08-14T21:37:27.9451001Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_kernel_warp.cu 2025-08-14T21:37:27.9451238Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_nobag_cuda.cu 2025-08-14T21:37:27.9451695Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_nobag_meta.cpp 2025-08-14T21:37:27.9451960Z /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 2025-08-14T21:37:27.9452212Z /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 2025-08-14T21:37:27.9452440Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_cuda.cu 2025-08-14T21:37:27.9452714Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_meta.cpp 2025-08-14T21:37:27.9452961Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_kernel_cta.cu 2025-08-14T21:37:27.9453204Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_kernel_warp.cu 2025-08-14T21:37:27.9453410Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_dense.cpp 2025-08-14T21:37:27.9453454Z   2025-08-14T21:37:27.9453511Z CUDA_SPECIFIC_SRCS: 2025-08-14T21:37:27.9453553Z  2025-08-14T21:37:27.9453594Z   2025-08-14T21:37:27.9453649Z HIP_SPECIFIC_SRCS: 2025-08-14T21:37:27.9453801Z  2025-08-14T21:37:27.9453850Z   2025-08-14T21:37:27.9453915Z OTHER_SRCS: 2025-08-14T21:37:27.9453962Z  2025-08-14T21:37:27.9454019Z   2025-08-14T21:37:27.9454071Z CC_FLAGS: 2025-08-14T21:37:27.9454127Z  2025-08-14T21:37:27.9454174Z   2025-08-14T21:37:27.9455911Z NVCC_FLAGS: 2025-08-14T21:37:27.9456009Z --expt-relaxed-constexpr 2025-08-14T21:37:27.9456078Z -D__CUDA_NO_HALF_OPERATORS__ 2025-08-14T21:37:27.9456147Z -D__CUDA_NO_BFLOAT16_CONVERSIONS__ 2025-08-14T21:37:27.9456210Z -D__CUDA_NO_HALF2_OPERATORS__ 2025-08-14T21:37:27.9456251Z   2025-08-14T21:37:27.9456299Z HIPCC_FLAGS: 2025-08-14T21:37:27.9456341Z  2025-08-14T21:37:27.9456388Z   2025-08-14T21:37:27.9456553Z INCLUDE_DIRS: 2025-08-14T21:37:27.9456659Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:27.9456738Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:27.9456837Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:27.9456930Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:27.9457049Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:27.9457207Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:27.9457323Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src 2025-08-14T21:37:27.9457443Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cpuinfo/include 2025-08-14T21:37:27.9457561Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/include 2025-08-14T21:37:27.9457700Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/tools/util/include 2025-08-14T21:37:27.9457835Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/include 2025-08-14T21:37:27.9457988Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/library/include 2025-08-14T21:37:27.9458107Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/json/include 2025-08-14T21:37:27.9458150Z   2025-08-14T21:37:27.9459411Z Selected Source Files: 2025-08-14T21:37:27.9459710Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_meta.cpp 2025-08-14T21:37:27.9459954Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_nobag_meta.cpp 2025-08-14T21:37:27.9460183Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_meta.cpp 2025-08-14T21:37:27.9460388Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_dense.cpp 2025-08-14T21:37:27.9460611Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_cuda.cu 2025-08-14T21:37:27.9460849Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_kernel_cta.cu 2025-08-14T21:37:27.9461088Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_kernel_warp.cu 2025-08-14T21:37:27.9461326Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_nobag_cuda.cu 2025-08-14T21:37:27.9461571Z /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 2025-08-14T21:37:27.9461839Z /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 2025-08-14T21:37:27.9462131Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_cuda.cu 2025-08-14T21:37:27.9462367Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_kernel_cta.cu 2025-08-14T21:37:27.9462607Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_kernel_warp.cu 2025-08-14T21:37:27.9462650Z   2025-08-14T21:37:27.9462708Z HIPified Source Files: 2025-08-14T21:37:27.9462942Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_meta_hip.cpp 2025-08-14T21:37:27.9463185Z /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 2025-08-14T21:37:27.9463421Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_meta_hip.cpp 2025-08-14T21:37:27.9463637Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_dense_hip.cpp 2025-08-14T21:37:27.9465244Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_hip.hip 2025-08-14T21:37:27.9465501Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_kernel_cta.hip 2025-08-14T21:37:27.9465738Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_weighted_kernel_warp.hip 2025-08-14T21:37:27.9465973Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_nobag_hip.hip 2025-08-14T21:37:27.9466229Z /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 2025-08-14T21:37:27.9466551Z /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 2025-08-14T21:37:27.9466830Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_hip.hip 2025-08-14T21:37:27.9467068Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_kernel_cta.hip 2025-08-14T21:37:27.9467308Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_dense_split_unweighted_kernel_warp.hip 2025-08-14T21:37:27.9467350Z   2025-08-14T21:37:27.9467416Z Library Dependencies: 2025-08-14T21:37:27.9467460Z torch 2025-08-14T21:37:27.9467513Z torch_library 2025-08-14T21:37:27.9467635Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:27.9467700Z fbgemm_gpu_tbe_training_backward 2025-08-14T21:37:27.9467742Z   2025-08-14T21:37:27.9467793Z Output Library: 2025-08-14T21:37:27.9467864Z fbgemm_gpu_tbe_training_backward_dense 2025-08-14T21:37:27.9467912Z   2025-08-14T21:37:27.9467967Z Destination Directory: 2025-08-14T21:37:27.9468015Z fbgemm_gpu 2025-08-14T21:37:27.9468097Z ================================================================================ 2025-08-14T21:37:27.9469218Z  2025-08-14T21:37:27.9469320Z -- Writing tmp_x5TD44z1k9DebsQO into file - file_tmp_x5TD44z1k9DebsQO.txt 2025-08-14T21:37:27.9771735Z  2025-08-14T21:37:27.9771794Z  2025-08-14T21:37:27.9772482Z ================================================================================ 2025-08-14T21:37:27.9772907Z GPU CPP Library Target: fbgemm_gpu_tbe_training_backward_split_host (SHARED) 2025-08-14T21:37:27.9772972Z   2025-08-14T21:37:27.9773028Z CPU_SRCS: 2025-08-14T21:37:27.9773093Z  2025-08-14T21:37:27.9773141Z   2025-08-14T21:37:27.9773220Z GPU_SRCS: 2025-08-14T21:37:27.9773494Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_adagrad.cpp 2025-08-14T21:37:27.9773741Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_adagrad.cpp 2025-08-14T21:37:27.9773955Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_sgd.cpp 2025-08-14T21:37:27.9774178Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_adam.cpp 2025-08-14T21:37:27.9774386Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_lamb.cpp 2025-08-14T21:37:27.9774618Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_lars_sgd.cpp 2025-08-14T21:37:27.9774865Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_partial_rowwise_adam.cpp 2025-08-14T21:37:27.9775107Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_partial_rowwise_lamb.cpp 2025-08-14T21:37:27.9779064Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_none.cpp 2025-08-14T21:37:27.9779379Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_rowwise_adagrad_with_counter.cpp 2025-08-14T21:37:27.9779611Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_sgd.cpp 2025-08-14T21:37:27.9779863Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_approx_rowwise_adagrad.cpp 2025-08-14T21:37:27.9780260Z 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/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_weighted_meta.cpp 2025-08-14T21:37:27.9781727Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_unweighted_meta.cpp 2025-08-14T21:37:27.9781972Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_weighted_meta.cpp 2025-08-14T21:37:27.9782220Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_unweighted_meta.cpp 2025-08-14T21:37:27.9782444Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_weighted_meta.cpp 2025-08-14T21:37:27.9782717Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_unweighted_meta.cpp 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/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_partial_rowwise_adam_split_unweighted_meta_hip.cpp 2025-08-14T21:37:27.9812380Z /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 2025-08-14T21:37:27.9812643Z /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 2025-08-14T21:37:27.9812879Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_none_split_weighted_meta_hip.cpp 2025-08-14T21:37:27.9813115Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_none_split_unweighted_meta_hip.cpp 2025-08-14T21:37:27.9814374Z /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 2025-08-14T21:37:27.9814656Z /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 2025-08-14T21:37:27.9814704Z   2025-08-14T21:37:27.9814766Z Library Dependencies: 2025-08-14T21:37:27.9814809Z torch 2025-08-14T21:37:27.9814859Z torch_library 2025-08-14T21:37:27.9814986Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:27.9815039Z fbgemm_gpu_config 2025-08-14T21:37:27.9815136Z fbgemm_gpu_tbe_utils 2025-08-14T21:37:27.9815178Z   2025-08-14T21:37:27.9815228Z Output Library: 2025-08-14T21:37:27.9815306Z fbgemm_gpu_tbe_training_backward_split_host 2025-08-14T21:37:27.9815348Z   2025-08-14T21:37:27.9815404Z Destination Directory: 2025-08-14T21:37:27.9815451Z fbgemm_gpu 2025-08-14T21:37:27.9815536Z ================================================================================ 2025-08-14T21:37:27.9815577Z  2025-08-14T21:37:27.9815680Z -- Writing tmp_BVDgZGkMBgVfxmtH into file - file_tmp_BVDgZGkMBgVfxmtH.txt 2025-08-14T21:37:28.0014792Z  2025-08-14T21:37:28.0017162Z  2025-08-14T21:37:28.0020053Z ================================================================================ 2025-08-14T21:37:28.0022394Z GPU CPP Library Target: fbgemm_gpu_tbe_index_select (SHARED) 2025-08-14T21:37:28.0022452Z   2025-08-14T21:37:28.0022505Z CPU_SRCS: 2025-08-14T21:37:28.0022659Z codegen/training/index_select/batch_index_select_dim0_cpu_host.cpp 2025-08-14T21:37:28.0022782Z codegen/training/index_select/batch_index_select_dim0_ops.cpp 2025-08-14T21:37:28.0022823Z   2025-08-14T21:37:28.0022870Z GPU_SRCS: 2025-08-14T21:37:28.0022979Z codegen/training/index_select/batch_index_select_dim0_host.cpp 2025-08-14T21:37:28.0023216Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_forward_codegen_cuda.cu 2025-08-14T21:37:28.0023437Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_forward_kernel.cu 2025-08-14T21:37:28.0023757Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_forward_kernel_small.cu 2025-08-14T21:37:28.0023985Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_backward_codegen_cuda.cu 2025-08-14T21:37:28.0024214Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_backward_kernel_cta.cu 2025-08-14T21:37:28.0024440Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_backward_kernel_warp.cu 2025-08-14T21:37:28.0024667Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_grad_index_select.cu 2025-08-14T21:37:28.0024715Z   2025-08-14T21:37:28.0024778Z CUDA_SPECIFIC_SRCS: 2025-08-14T21:37:28.0024822Z  2025-08-14T21:37:28.0024867Z   2025-08-14T21:37:28.0024927Z HIP_SPECIFIC_SRCS: 2025-08-14T21:37:28.0026372Z  2025-08-14T21:37:28.0026509Z   2025-08-14T21:37:28.0026557Z OTHER_SRCS: 2025-08-14T21:37:28.0026599Z  2025-08-14T21:37:28.0026640Z   2025-08-14T21:37:28.0026690Z CC_FLAGS: 2025-08-14T21:37:28.0026730Z  2025-08-14T21:37:28.0026777Z   2025-08-14T21:37:28.0026822Z NVCC_FLAGS: 2025-08-14T21:37:28.0026887Z --expt-relaxed-constexpr 2025-08-14T21:37:28.0026947Z -D__CUDA_NO_HALF_OPERATORS__ 2025-08-14T21:37:28.0027016Z -D__CUDA_NO_BFLOAT16_CONVERSIONS__ 2025-08-14T21:37:28.0027078Z -D__CUDA_NO_HALF2_OPERATORS__ 2025-08-14T21:37:28.0027119Z   2025-08-14T21:37:28.0027168Z HIPCC_FLAGS: 2025-08-14T21:37:28.0027208Z  2025-08-14T21:37:28.0027250Z   2025-08-14T21:37:28.0027298Z INCLUDE_DIRS: 2025-08-14T21:37:28.0027402Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:28.0027483Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:28.0027574Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:28.0027673Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:28.0027792Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:28.0029101Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:28.0029226Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src 2025-08-14T21:37:28.0029349Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cpuinfo/include 2025-08-14T21:37:28.0029469Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/include 2025-08-14T21:37:28.0029610Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/tools/util/include 2025-08-14T21:37:28.0029745Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/include 2025-08-14T21:37:28.0029904Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/library/include 2025-08-14T21:37:28.0030020Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/json/include 2025-08-14T21:37:28.0030062Z   2025-08-14T21:37:28.0030119Z Selected Source Files: 2025-08-14T21:37:28.0030238Z codegen/training/index_select/batch_index_select_dim0_cpu_host.cpp 2025-08-14T21:37:28.0030346Z codegen/training/index_select/batch_index_select_dim0_ops.cpp 2025-08-14T21:37:28.0030452Z codegen/training/index_select/batch_index_select_dim0_host.cpp 2025-08-14T21:37:28.0030682Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_forward_codegen_cuda.cu 2025-08-14T21:37:28.0030899Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_forward_kernel.cu 2025-08-14T21:37:28.0031163Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_forward_kernel_small.cu 2025-08-14T21:37:28.0031387Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_backward_codegen_cuda.cu 2025-08-14T21:37:28.0031611Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_backward_kernel_cta.cu 2025-08-14T21:37:28.0031834Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_backward_kernel_warp.cu 2025-08-14T21:37:28.0032056Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_grad_index_select.cu 2025-08-14T21:37:28.0032097Z   2025-08-14T21:37:28.0033187Z HIPified Source Files: 2025-08-14T21:37:28.0033403Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/index_select/batch_index_select_dim0_cpu_host_hip.cpp 2025-08-14T21:37:28.0033606Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/index_select/batch_index_select_dim0_ops_hip.cpp 2025-08-14T21:37:28.0033790Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/index_select/batch_index_select_dim0_host.cpp 2025-08-14T21:37:28.0034019Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_forward_codegen_hip.hip 2025-08-14T21:37:28.0034236Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_forward_kernel.hip 2025-08-14T21:37:28.0034461Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_forward_kernel_small.hip 2025-08-14T21:37:28.0034686Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_backward_codegen_hip.hip 2025-08-14T21:37:28.0034910Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_backward_kernel_cta.hip 2025-08-14T21:37:28.0035134Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_batch_index_select_dim0_backward_kernel_warp.hip 2025-08-14T21:37:28.0035405Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_split_grad_index_select.hip 2025-08-14T21:37:28.0035448Z   2025-08-14T21:37:28.0035506Z Library Dependencies: 2025-08-14T21:37:28.0035550Z torch 2025-08-14T21:37:28.0035601Z torch_library 2025-08-14T21:37:28.0035723Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:28.0035787Z fbgemm_gpu_sparse_async_cumsum 2025-08-14T21:37:28.0035843Z fbgemm_gpu_tbe_utils 2025-08-14T21:37:28.0035885Z   2025-08-14T21:37:28.0035937Z Output Library: 2025-08-14T21:37:28.0035998Z fbgemm_gpu_tbe_index_select 2025-08-14T21:37:28.0036039Z   2025-08-14T21:37:28.0037198Z Destination Directory: 2025-08-14T21:37:28.0037253Z fbgemm_gpu 2025-08-14T21:37:28.0037336Z ================================================================================ 2025-08-14T21:37:28.0037382Z  2025-08-14T21:37:28.0037476Z -- Writing tmp_xPlhRSuXSLB84fIL into file - file_tmp_xPlhRSuXSLB84fIL.txt 2025-08-14T21:37:28.0227556Z  2025-08-14T21:37:28.0228296Z  2025-08-14T21:37:28.0228602Z ================================================================================ 2025-08-14T21:37:28.0228956Z GPU CPP Library Target: fbgemm_gpu_embedding_inplace_ops (SHARED) 2025-08-14T21:37:28.0229085Z   2025-08-14T21:37:28.0229232Z CPU_SRCS: 2025-08-14T21:37:28.0229541Z src/embedding_inplace_ops/embedding_inplace_update_cpu.cpp 2025-08-14T21:37:28.0229674Z   2025-08-14T21:37:28.0230214Z GPU_SRCS: 2025-08-14T21:37:28.0230509Z src/embedding_inplace_ops/embedding_inplace_update_gpu.cpp 2025-08-14T21:37:28.0230777Z src/embedding_inplace_ops/embedding_inplace_update.cu 2025-08-14T21:37:28.0230906Z   2025-08-14T21:37:28.0231065Z CUDA_SPECIFIC_SRCS: 2025-08-14T21:37:28.0231189Z  2025-08-14T21:37:28.0231324Z   2025-08-14T21:37:28.0236213Z HIP_SPECIFIC_SRCS: 2025-08-14T21:37:28.0236278Z  2025-08-14T21:37:28.0236320Z   2025-08-14T21:37:28.0236368Z OTHER_SRCS: 2025-08-14T21:37:28.0236419Z  2025-08-14T21:37:28.0236556Z   2025-08-14T21:37:28.0236605Z CC_FLAGS: 2025-08-14T21:37:28.0236650Z  2025-08-14T21:37:28.0236690Z   2025-08-14T21:37:28.0236736Z NVCC_FLAGS: 2025-08-14T21:37:28.0236803Z --expt-relaxed-constexpr 2025-08-14T21:37:28.0236865Z -D__CUDA_NO_HALF_OPERATORS__ 2025-08-14T21:37:28.0236933Z -D__CUDA_NO_BFLOAT16_CONVERSIONS__ 2025-08-14T21:37:28.0236999Z -D__CUDA_NO_HALF2_OPERATORS__ 2025-08-14T21:37:28.0237040Z   2025-08-14T21:37:28.0237088Z HIPCC_FLAGS: 2025-08-14T21:37:28.0237129Z  2025-08-14T21:37:28.0237168Z   2025-08-14T21:37:28.0237218Z INCLUDE_DIRS: 2025-08-14T21:37:28.0237325Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:28.0237409Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu 2025-08-14T21:37:28.0237504Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/include 2025-08-14T21:37:28.0238960Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../include 2025-08-14T21:37:28.0239100Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include 2025-08-14T21:37:28.0239257Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include 2025-08-14T21:37:28.0239372Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/asmjit/src 2025-08-14T21:37:28.0239495Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cpuinfo/include 2025-08-14T21:37:28.0239615Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/include 2025-08-14T21:37:28.0239833Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/tools/util/include 2025-08-14T21:37:28.0240091Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/include 2025-08-14T21:37:28.0240243Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/library/include 2025-08-14T21:37:28.0240359Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/json/include 2025-08-14T21:37:28.0240401Z   2025-08-14T21:37:28.0240459Z Selected Source Files: 2025-08-14T21:37:28.0240565Z src/embedding_inplace_ops/embedding_inplace_update_cpu.cpp 2025-08-14T21:37:28.0240663Z src/embedding_inplace_ops/embedding_inplace_update_gpu.cpp 2025-08-14T21:37:28.0240756Z src/embedding_inplace_ops/embedding_inplace_update.cu 2025-08-14T21:37:28.0240802Z   2025-08-14T21:37:28.0240859Z HIPified Source Files: 2025-08-14T21:37:28.0241049Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/embedding_inplace_ops/embedding_inplace_update_cpu.cpp 2025-08-14T21:37:28.0241239Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/embedding_inplace_ops/embedding_inplace_update_gpu_hip.cpp 2025-08-14T21:37:28.0241411Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/embedding_inplace_ops/embedding_inplace_update.hip 2025-08-14T21:37:28.0242852Z   2025-08-14T21:37:28.0242920Z Library Dependencies: 2025-08-14T21:37:28.0242972Z torch 2025-08-14T21:37:28.0243022Z torch_library 2025-08-14T21:37:28.0243146Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so 2025-08-14T21:37:28.0243187Z   2025-08-14T21:37:28.0243238Z Output Library: 2025-08-14T21:37:28.0243303Z fbgemm_gpu_embedding_inplace_ops 2025-08-14T21:37:28.0243343Z   2025-08-14T21:37:28.0243449Z Destination Directory: 2025-08-14T21:37:28.0243498Z fbgemm_gpu 2025-08-14T21:37:28.0243580Z ================================================================================ 2025-08-14T21:37:28.0243620Z  2025-08-14T21:37:28.0243718Z -- Writing tmp_9p7LBgOAExNBZ2Et into file - file_tmp_9p7LBgOAExNBZ2Et.txt 2025-08-14T21:37:28.0742362Z  2025-08-14T21:37:28.0766851Z  2025-08-14T21:37:28.0778181Z ================================================================================ 2025-08-14T21:37:28.0778701Z GPU CPP Library Target: fbgemm_gpu_py (SHARED) 2025-08-14T21:37:28.0778797Z   2025-08-14T21:37:28.0778856Z CPU_SRCS: 2025-08-14T21:37:28.0778938Z src/memory_utils/memory_utils.cpp 2025-08-14T21:37:28.0782072Z src/memory_utils/memory_utils_ops.cpp 2025-08-14T21:37:28.0782242Z src/merge_pooled_embedding_ops/merge_pooled_embedding_ops_cpu.cpp 2025-08-14T21:37:28.0782374Z src/permute_multi_embedding_ops/permute_multi_embedding_function.cpp 2025-08-14T21:37:28.0782509Z src/permute_multi_embedding_ops/permute_multi_embedding_ops_cpu.cpp 2025-08-14T21:37:28.0782640Z src/permute_pooled_embedding_ops/permute_pooled_embedding_function.cpp 2025-08-14T21:37:28.0782761Z src/permute_pooled_embedding_ops/permute_pooled_embedding_ops_cpu.cpp 2025-08-14T21:37:28.0782902Z src/permute_pooled_embedding_ops/permute_pooled_embedding_ops_split_cpu.cpp 2025-08-14T21:37:28.0782998Z src/jagged_tensor_ops/jagged_tensor_ops_autograd.cpp 2025-08-14T21:37:28.0783086Z src/jagged_tensor_ops/jagged_tensor_ops_meta.cpp 2025-08-14T21:37:28.0783171Z src/jagged_tensor_ops/jagged_tensor_ops_cpu.cpp 2025-08-14T21:37:28.0783255Z src/input_combine_ops/input_combine_cpu.cpp 2025-08-14T21:37:28.0783350Z src/layout_transform_ops/layout_transform_ops_cpu.cpp 2025-08-14T21:37:28.0783429Z src/quantize_ops/quantize_ops_cpu.cpp 2025-08-14T21:37:28.0783505Z src/quantize_ops/quantize_ops_meta.cpp 2025-08-14T21:37:28.0783592Z src/sparse_ops/sparse_async_batched_cumsum.cpp 2025-08-14T21:37:28.0783658Z src/sparse_ops/sparse_ops_cpu.cpp 2025-08-14T21:37:28.0783732Z src/sparse_ops/sparse_ops_meta.cpp 2025-08-14T21:37:28.0783791Z src/tbe/eeg/eeg_models.cpp 2025-08-14T21:37:28.0784038Z src/tbe/eeg/eeg_utils.cpp 2025-08-14T21:37:28.0788931Z src/tbe/eeg/indices_estimator_ops.cpp 2025-08-14T21:37:28.0789174Z src/tbe/eeg/indices_estimator.cpp 2025-08-14T21:37:28.0789257Z src/tbe/eeg/indices_generator_ops.cpp 2025-08-14T21:37:28.0789329Z src/tbe/eeg/indices_generator.cpp 2025-08-14T21:37:28.0789477Z src/intraining_embedding_pruning_ops/intraining_embedding_pruning_gpu.cpp 2025-08-14T21:37:28.0789575Z src/layout_transform_ops/layout_transform_ops_gpu.cpp 2025-08-14T21:37:28.0789704Z src/permute_pooled_embedding_ops/permute_pooled_embedding_ops_gpu.cpp 2025-08-14T21:37:28.0789841Z src/permute_pooled_embedding_ops/permute_pooled_embedding_ops_split_gpu.cpp 2025-08-14T21:37:28.0789921Z src/quantize_ops/quantize_ops_gpu.cpp 2025-08-14T21:37:28.0789988Z src/sparse_ops/sparse_ops_gpu.cpp 2025-08-14T21:37:28.0790057Z src/metric_ops/metric_ops_host.cpp 2025-08-14T21:37:28.0790149Z src/input_combine_ops/input_combine_gpu.cpp 2025-08-14T21:37:28.0790273Z src/merge_pooled_embedding_ops/merge_pooled_embedding_ops_gpu.cpp 2025-08-14T21:37:28.0790346Z src/topology_utils.cpp 2025-08-14T21:37:28.0790395Z   2025-08-14T21:37:28.0790456Z GPU_SRCS: 2025-08-14T21:37:28.0790537Z src/histogram_binning_calibration_ops.cu 2025-08-14T21:37:28.0790621Z src/input_combine_ops/input_combine.cu 2025-08-14T21:37:28.0790744Z src/intraining_embedding_pruning_ops/intraining_embedding_pruning.cu 2025-08-14T21:37:28.0790821Z src/memory_utils/memory_utils.cu 2025-08-14T21:37:28.0790893Z src/memory_utils/memory_utils_ops.cu 2025-08-14T21:37:28.0791122Z src/jagged_tensor_ops/batched_dense_vec_jagged_2d_mul_backward.cu 2025-08-14T21:37:28.0791241Z src/jagged_tensor_ops/batched_dense_vec_jagged_2d_mul_forward.cu 2025-08-14T21:37:28.0791340Z src/jagged_tensor_ops/dense_to_jagged_forward.cu 2025-08-14T21:37:28.0791435Z src/jagged_tensor_ops/jagged_dense_bmm_forward.cu 2025-08-14T21:37:28.0791577Z src/jagged_tensor_ops/jagged_dense_dense_elementwise_add_jagged_output_forward.cu 2025-08-14T21:37:28.0791695Z src/jagged_tensor_ops/jagged_dense_elementwise_mul_backward.cu 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2025-08-14T21:37:28.0796733Z src/sparse_ops/sparse_block_bucketize_features.cu 2025-08-14T21:37:28.0796814Z src/sparse_ops/sparse_bucketize_features.cu 2025-08-14T21:37:28.0796904Z src/sparse_ops/sparse_batched_unary_embeddings.cu 2025-08-14T21:37:28.0796996Z src/sparse_ops/sparse_compute_frequency_sequence.cu 2025-08-14T21:37:28.0797093Z src/sparse_ops/sparse_expand_into_jagged_permute.cu 2025-08-14T21:37:28.0797161Z src/sparse_ops/sparse_group_index.cu 2025-08-14T21:37:28.0797227Z src/sparse_ops/sparse_index_add.cu 2025-08-14T21:37:28.0797309Z src/sparse_ops/sparse_index_select.cu 2025-08-14T21:37:28.0797393Z src/sparse_ops/sparse_invert_permute.cu 2025-08-14T21:37:28.0797476Z src/sparse_ops/sparse_pack_segments_backward.cu 2025-08-14T21:37:28.0799642Z src/sparse_ops/sparse_pack_segments_forward.cu 2025-08-14T21:37:28.0799800Z src/sparse_ops/sparse_permute_1d.cu 2025-08-14T21:37:28.0799876Z src/sparse_ops/sparse_permute_2d.cu 2025-08-14T21:37:28.0799946Z src/sparse_ops/sparse_permute102.cu 2025-08-14T21:37:28.0800026Z src/sparse_ops/sparse_permute_embeddings.cu 2025-08-14T21:37:28.0800087Z src/sparse_ops/sparse_range.cu 2025-08-14T21:37:28.0800160Z src/sparse_ops/sparse_reorder_batched_ad.cu 2025-08-14T21:37:28.0800289Z src/sparse_ops/sparse_segment_sum_csr.cu 2025-08-14T21:37:28.0800351Z src/sparse_ops/sparse_zipf.cu 2025-08-14T21:37:28.0800394Z   2025-08-14T21:37:28.0800450Z CUDA_SPECIFIC_SRCS: 2025-08-14T21:37:28.0800499Z  2025-08-14T21:37:28.0800540Z   2025-08-14T21:37:28.0800594Z HIP_SPECIFIC_SRCS: 2025-08-14T21:37:28.0800639Z  2025-08-14T21:37:28.0800687Z   2025-08-14T21:37:28.0800734Z OTHER_SRCS: 2025-08-14T21:37:28.0800774Z  2025-08-14T21:37:28.0800821Z   2025-08-14T21:37:28.0800871Z CC_FLAGS: 2025-08-14T21:37:28.0800912Z  2025-08-14T21:37:28.0800952Z   2025-08-14T21:37:28.0800999Z NVCC_FLAGS: 2025-08-14T21:37:28.0801062Z --expt-relaxed-constexpr 2025-08-14T21:37:28.0801123Z -D__CUDA_NO_HALF_OPERATORS__ 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/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cpuinfo/include 2025-08-14T21:37:28.0802465Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/include 2025-08-14T21:37:28.0802601Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/cutlass/tools/util/include 2025-08-14T21:37:28.0802735Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/include 2025-08-14T21:37:28.0802926Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/composable_kernel/library/include 2025-08-14T21:37:28.0803041Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../external/json/include 2025-08-14T21:37:28.0803085Z   2025-08-14T21:37:28.0803143Z Selected Source Files: 2025-08-14T21:37:28.0803207Z src/memory_utils/memory_utils.cpp 2025-08-14T21:37:28.0803276Z src/memory_utils/memory_utils_ops.cpp 2025-08-14T21:37:28.0803385Z src/merge_pooled_embedding_ops/merge_pooled_embedding_ops_cpu.cpp 2025-08-14T21:37:28.0803502Z src/permute_multi_embedding_ops/permute_multi_embedding_function.cpp 2025-08-14T21:37:28.0803621Z src/permute_multi_embedding_ops/permute_multi_embedding_ops_cpu.cpp 2025-08-14T21:37:28.0803742Z src/permute_pooled_embedding_ops/permute_pooled_embedding_function.cpp 2025-08-14T21:37:28.0803859Z src/permute_pooled_embedding_ops/permute_pooled_embedding_ops_cpu.cpp 2025-08-14T21:37:28.0803995Z src/permute_pooled_embedding_ops/permute_pooled_embedding_ops_split_cpu.cpp 2025-08-14T21:37:28.0804088Z src/jagged_tensor_ops/jagged_tensor_ops_autograd.cpp 2025-08-14T21:37:28.0805374Z src/jagged_tensor_ops/jagged_tensor_ops_meta.cpp 2025-08-14T21:37:28.0805461Z src/jagged_tensor_ops/jagged_tensor_ops_cpu.cpp 2025-08-14T21:37:28.0805538Z src/input_combine_ops/input_combine_cpu.cpp 2025-08-14T21:37:28.0805631Z src/layout_transform_ops/layout_transform_ops_cpu.cpp 2025-08-14T21:37:28.0805698Z src/quantize_ops/quantize_ops_cpu.cpp 2025-08-14T21:37:28.0805768Z src/quantize_ops/quantize_ops_meta.cpp 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src/quantize_ops/quantize_ops_gpu.cpp 2025-08-14T21:37:28.0807081Z src/sparse_ops/sparse_ops_gpu.cpp 2025-08-14T21:37:28.0807144Z src/metric_ops/metric_ops_host.cpp 2025-08-14T21:37:28.0808350Z src/input_combine_ops/input_combine_gpu.cpp 2025-08-14T21:37:28.0808466Z src/merge_pooled_embedding_ops/merge_pooled_embedding_ops_gpu.cpp 2025-08-14T21:37:28.0808525Z src/topology_utils.cpp 2025-08-14T21:37:28.0808597Z src/histogram_binning_calibration_ops.cu 2025-08-14T21:37:28.0808665Z src/input_combine_ops/input_combine.cu 2025-08-14T21:37:28.0808780Z src/intraining_embedding_pruning_ops/intraining_embedding_pruning.cu 2025-08-14T21:37:28.0808842Z src/memory_utils/memory_utils.cu 2025-08-14T21:37:28.0808907Z src/memory_utils/memory_utils_ops.cu 2025-08-14T21:37:28.0809014Z src/jagged_tensor_ops/batched_dense_vec_jagged_2d_mul_backward.cu 2025-08-14T21:37:28.0809127Z src/jagged_tensor_ops/batched_dense_vec_jagged_2d_mul_forward.cu 2025-08-14T21:37:28.0809210Z src/jagged_tensor_ops/dense_to_jagged_forward.cu 2025-08-14T21:37:28.0809295Z src/jagged_tensor_ops/jagged_dense_bmm_forward.cu 2025-08-14T21:37:28.0809427Z src/jagged_tensor_ops/jagged_dense_dense_elementwise_add_jagged_output_forward.cu 2025-08-14T21:37:28.0809587Z src/jagged_tensor_ops/jagged_dense_elementwise_mul_backward.cu 2025-08-14T21:37:28.0809688Z src/jagged_tensor_ops/jagged_dense_elementwise_mul_forward.cu 2025-08-14T21:37:28.0809778Z src/jagged_tensor_ops/jagged_index_add_2d_forward.cu 2025-08-14T21:37:28.0809872Z src/jagged_tensor_ops/jagged_index_select_2d_forward.cu 2025-08-14T21:37:28.0809957Z src/jagged_tensor_ops/jagged_jagged_bmm_forward.cu 2025-08-14T21:37:28.0810038Z src/jagged_tensor_ops/jagged_softmax_backward.cu 2025-08-14T21:37:28.0810117Z src/jagged_tensor_ops/jagged_softmax_forward.cu 2025-08-14T21:37:28.0810195Z src/jagged_tensor_ops/jagged_tensor_ops.cu 2025-08-14T21:37:28.0811359Z src/jagged_tensor_ops/jagged_to_padded_dense_backward.cu 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src/quantize_ops/quantize_hfp8.cu 2025-08-14T21:37:28.0812601Z src/quantize_ops/quantize_msfp.cu 2025-08-14T21:37:28.0812685Z src/quantize_ops/quantize_padded_fp8_rowwise.cu 2025-08-14T21:37:28.0812745Z src/quantize_ops/quantize_mx.cu 2025-08-14T21:37:28.0812826Z src/sparse_ops/sparse_async_batched_cumsum.cu 2025-08-14T21:37:28.0812909Z src/sparse_ops/sparse_block_bucketize_features.cu 2025-08-14T21:37:28.0812984Z src/sparse_ops/sparse_bucketize_features.cu 2025-08-14T21:37:28.0813067Z src/sparse_ops/sparse_batched_unary_embeddings.cu 2025-08-14T21:37:28.0813154Z src/sparse_ops/sparse_compute_frequency_sequence.cu 2025-08-14T21:37:28.0814293Z src/sparse_ops/sparse_expand_into_jagged_permute.cu 2025-08-14T21:37:28.0814372Z src/sparse_ops/sparse_group_index.cu 2025-08-14T21:37:28.0814437Z src/sparse_ops/sparse_index_add.cu 2025-08-14T21:37:28.0814503Z src/sparse_ops/sparse_index_select.cu 2025-08-14T21:37:28.0814576Z src/sparse_ops/sparse_invert_permute.cu 2025-08-14T21:37:28.0814657Z 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CMakeFiles/fbgemm_gpu_tbe_common.dir/codegen/utils/fbgemm_gpu_tbe_common_generated_embedding_bounds_check_host_hip.cpp.o 2025-08-14T21:38:00.7485125Z [109/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_common.dir/codegen/utils/fbgemm_gpu_tbe_common_generated_embedding_bounds_check_v1.hip.o 2025-08-14T21:38:00.7491222Z [109/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_common.dir/codegen/utils/fbgemm_gpu_tbe_common_generated_embedding_bounds_check_v2.hip.o 2025-08-14T21:38:00.7492487Z [110/612] cd /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build && bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../.github/scripts/fbgemm_gpu_postbuild.bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm.so 1 2025-08-14T21:38:00.7492977Z ################################################################################ 2025-08-14T21:38:00.7493115Z [CMAKE] Running post-build script ... 2025-08-14T21:38:00.7493333Z Target file: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm.so 2025-08-14T21:38:00.7493556Z Resetting RPATH to $ORIGIN ... 2025-08-14T21:38:00.7493709Z 0x000000000000000f (RPATH) Library rpath: [$ORIGIN] 2025-08-14T21:38:00.7493874Z ################################################################################ 2025-08-14T21:38:02.7594448Z 2025-08-14T21:38:02.7596381Z [111/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_utils.dir/src/split_embeddings_utils/fbgemm_gpu_tbe_utils_generated_radix_sort_pairs.hip.o 2025-08-14T21:38:03.1611464Z [111/612] Linking CXX shared library fbgemm_gpu_tbe_utils.so 2025-08-14T21:38:03.1611786Z [112/612] Linking CXX shared library fbgemm_gpu_tbe_utils.so 2025-08-14T21:38:03.1615375Z [112/612] 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 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/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_tbe_utils.so 2025-08-14T21:38:03.1730755Z ################################################################################ 2025-08-14T21:38:03.1730903Z [CMAKE] Running post-build script ... 2025-08-14T21:38:03.1733479Z Target file: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_tbe_utils.so 2025-08-14T21:38:03.1733715Z Removing all RPATHs ... 2025-08-14T21:38:03.1733841Z ################################################################################ 2025-08-14T21:38:14.6968587Z 2025-08-14T21:38:16.9311878Z [114/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_common.dir/codegen/training/pt2/fbgemm_gpu_tbe_common_generated_pt2_autograd_utils.cpp.o 2025-08-14T21:38:17.5458336Z [115/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_inference.dir/codegen/inference/fbgemm_gpu_tbe_inference_generated_embedding_forward_quantized_host_hip.cpp.o 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CMakeFiles/fbgemm_gpu_tbe_common.dir/codegen/utils/fbgemm_gpu_tbe_common_generated_embedding_bounds_check_host_cpu_hip.cpp.o 2025-08-14T21:38:24.9176415Z [122/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_inference.dir/fbgemm_gpu_tbe_inference_generated_gen_embedding_forward_quantized_unweighted_codegen_cpu_hip.cpp.o 2025-08-14T21:38:25.5100087Z [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_unweighted_meta_hip.cpp.o 2025-08-14T21:38:25.5133347Z [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 2025-08-14T21:38:25.6500236Z [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_unweighted_meta_hip.cpp.o 2025-08-14T21:38:25.7151555Z [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_adam_split_weighted_meta_hip.cpp.o 2025-08-14T21:38:25.8920573Z [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_unweighted_meta_hip.cpp.o 2025-08-14T21:38:25.8921765Z [128/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_common.dir/codegen/training/forward/fbgemm_gpu_tbe_common_generated_embedding_forward_split_cpu_hip.cpp.o 2025-08-14T21:38:25.8922330Z /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] 2025-08-14T21:38:25.8922758Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.8922912Z | ^ 2025-08-14T21:38:25.8923239Z /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 2025-08-14T21:38:25.8923712Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.8929339Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.8929507Z | ^ 2025-08-14T21:38:25.8929862Z /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] 2025-08-14T21:38:25.8930223Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.8930350Z | ^~~~~~~~ 2025-08-14T21:38:25.8930690Z /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 2025-08-14T21:38:25.8931187Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:25.8931560Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:25.8931687Z | ^ 2025-08-14T21:38:25.8932010Z /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] 2025-08-14T21:38:25.8932393Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.8932531Z | ^~~~~~~~ 2025-08-14T21:38:25.8932973Z /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 2025-08-14T21:38:25.8933450Z 623 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int32_t); 2025-08-14T21:38:25.8933590Z | ^ 2025-08-14T21:38:25.8933883Z /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' 2025-08-14T21:38:25.8934317Z 620 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, float); \ 2025-08-14T21:38:25.8937577Z | ^ 2025-08-14T21:38:25.8937898Z /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' 2025-08-14T21:38:25.8938258Z 616 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, true); \ 2025-08-14T21:38:25.8938408Z | ^ 2025-08-14T21:38:25.8938698Z /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' 2025-08-14T21:38:25.8939066Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:25.8939232Z | ^ 2025-08-14T21:38:25.8939568Z /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 2025-08-14T21:38:25.8939921Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.8940045Z | ^ 2025-08-14T21:38:25.8940416Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:25.8940696Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:25.8940819Z | ^ 2025-08-14T21:38:25.8941146Z /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] 2025-08-14T21:38:25.8941508Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.8941625Z | ^~~~~~~~ 2025-08-14T21:38:25.8942061Z /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 2025-08-14T21:38:25.8942525Z 623 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int32_t); 2025-08-14T21:38:25.8942654Z | ^ 2025-08-14T21:38:25.8942948Z /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' 2025-08-14T21:38:25.8943298Z 620 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, float); \ 2025-08-14T21:38:25.8943440Z | ^ 2025-08-14T21:38:25.8943731Z /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' 2025-08-14T21:38:25.8944085Z 617 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, false); 2025-08-14T21:38:25.8944235Z | ^ 2025-08-14T21:38:25.8944524Z /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' 2025-08-14T21:38:25.8947020Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:25.8947204Z | ^ 2025-08-14T21:38:25.8947556Z /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 2025-08-14T21:38:25.8947921Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.8948046Z | ^ 2025-08-14T21:38:25.8950814Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:25.8951132Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:25.8951266Z | ^ 2025-08-14T21:38:25.8951606Z /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] 2025-08-14T21:38:25.8952026Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.8952152Z | ^~~~~~~~ 2025-08-14T21:38:25.8952623Z /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 2025-08-14T21:38:25.8953085Z 623 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int32_t); 2025-08-14T21:38:25.8953218Z | ^ 2025-08-14T21:38:25.8953522Z /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' 2025-08-14T21:38:25.8953870Z 621 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, double); 2025-08-14T21:38:25.8954008Z | ^ 2025-08-14T21:38:25.8954302Z /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' 2025-08-14T21:38:25.8954659Z 616 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, true); \ 2025-08-14T21:38:25.8954844Z | ^ 2025-08-14T21:38:25.8955200Z /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' 2025-08-14T21:38:25.8955577Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:25.8955751Z | ^ 2025-08-14T21:38:25.8956095Z /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 2025-08-14T21:38:25.8960076Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.8960196Z | ^ 2025-08-14T21:38:25.8960465Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:25.8960762Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:25.8960884Z | ^ 2025-08-14T21:38:25.8961219Z /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] 2025-08-14T21:38:25.8961581Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.8961699Z | ^~~~~~~~ 2025-08-14T21:38:25.8962148Z /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 2025-08-14T21:38:25.8962603Z 623 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int32_t); 2025-08-14T21:38:25.8962779Z | ^ 2025-08-14T21:38:25.8963070Z /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' 2025-08-14T21:38:25.8963413Z 621 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, double); 2025-08-14T21:38:25.8963550Z | ^ 2025-08-14T21:38:25.8963838Z /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' 2025-08-14T21:38:25.8964191Z 617 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, false); 2025-08-14T21:38:25.8964337Z | ^ 2025-08-14T21:38:25.8964624Z /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' 2025-08-14T21:38:25.8964990Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:25.8965166Z | ^ 2025-08-14T21:38:25.8965561Z /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 2025-08-14T21:38:25.8965946Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.8966064Z | ^ 2025-08-14T21:38:25.8966320Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:25.8966690Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:25.8966814Z | ^ 2025-08-14T21:38:25.8967140Z /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] 2025-08-14T21:38:25.8971744Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.8971866Z | ^~~~~~~~ 2025-08-14T21:38:25.8972311Z /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 2025-08-14T21:38:25.8972776Z 624 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int64_t); 2025-08-14T21:38:25.8972931Z | ^ 2025-08-14T21:38:25.8973289Z /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' 2025-08-14T21:38:25.8973633Z 620 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, float); \ 2025-08-14T21:38:25.8973773Z | ^ 2025-08-14T21:38:25.8974066Z /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' 2025-08-14T21:38:25.8974418Z 616 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, true); \ 2025-08-14T21:38:25.8974576Z | ^ 2025-08-14T21:38:25.8974865Z /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' 2025-08-14T21:38:25.8975240Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:25.8975408Z | ^ 2025-08-14T21:38:25.8975750Z /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 2025-08-14T21:38:25.8976107Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.8976229Z | ^ 2025-08-14T21:38:25.8976605Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:25.8976886Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:25.8977011Z | ^ 2025-08-14T21:38:25.8977365Z /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] 2025-08-14T21:38:25.8977719Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.8977840Z | ^~~~~~~~ 2025-08-14T21:38:25.8978284Z /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 2025-08-14T21:38:25.8978735Z 624 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int64_t); 2025-08-14T21:38:25.8978862Z | ^ 2025-08-14T21:38:25.8979151Z /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' 2025-08-14T21:38:25.8979495Z 620 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, float); \ 2025-08-14T21:38:25.8979636Z | ^ 2025-08-14T21:38:25.8979925Z /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' 2025-08-14T21:38:25.8980294Z 617 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, false); 2025-08-14T21:38:25.8980442Z | ^ 2025-08-14T21:38:25.8980737Z /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' 2025-08-14T21:38:25.8981109Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:25.8981280Z | ^ 2025-08-14T21:38:25.8981617Z /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 2025-08-14T21:38:25.8981971Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.8982094Z | ^ 2025-08-14T21:38:25.8982348Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:25.8982629Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:25.8982755Z | ^ 2025-08-14T21:38:25.8983140Z /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] 2025-08-14T21:38:25.8983491Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.8983609Z | ^~~~~~~~ 2025-08-14T21:38:25.8984041Z /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 2025-08-14T21:38:25.8984490Z 624 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int64_t); 2025-08-14T21:38:25.8984613Z | ^ 2025-08-14T21:38:25.8984898Z /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' 2025-08-14T21:38:25.8985240Z 621 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, double); 2025-08-14T21:38:25.8985378Z | ^ 2025-08-14T21:38:25.8985663Z /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' 2025-08-14T21:38:25.8986012Z 616 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, true); \ 2025-08-14T21:38:25.8986164Z | ^ 2025-08-14T21:38:25.8986539Z /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' 2025-08-14T21:38:25.8986907Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:25.8987095Z | ^ 2025-08-14T21:38:25.8987428Z /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 2025-08-14T21:38:25.8987776Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.8987892Z | ^ 2025-08-14T21:38:25.8988140Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:25.8988414Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:25.8988537Z | ^ 2025-08-14T21:38:25.8988861Z /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] 2025-08-14T21:38:25.8989216Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.8989336Z | ^~~~~~~~ 2025-08-14T21:38:25.8989773Z /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 2025-08-14T21:38:25.8990251Z 624 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int64_t); 2025-08-14T21:38:25.8990375Z | ^ 2025-08-14T21:38:25.8990663Z /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' 2025-08-14T21:38:25.8991001Z 621 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, double); 2025-08-14T21:38:25.8991133Z | ^ 2025-08-14T21:38:25.8991417Z /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' 2025-08-14T21:38:25.8991766Z 617 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, false); 2025-08-14T21:38:25.8991911Z | ^ 2025-08-14T21:38:25.8992198Z /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' 2025-08-14T21:38:25.8992612Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:25.8992783Z | ^ 2025-08-14T21:38:25.8993116Z /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 2025-08-14T21:38:25.8993467Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.8993582Z | ^ 2025-08-14T21:38:25.8993830Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:25.8994104Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:25.8994228Z | ^ 2025-08-14T21:38:25.8994552Z /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] 2025-08-14T21:38:25.8994924Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.8995073Z | ^ 2025-08-14T21:38:25.8999294Z /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 2025-08-14T21:38:25.8999754Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.8999917Z | ^ 2025-08-14T21:38:25.9000367Z /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 2025-08-14T21:38:25.9000867Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9001007Z | ^ 2025-08-14T21:38:25.9001324Z /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 2025-08-14T21:38:25.9001657Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9001801Z | ^ 2025-08-14T21:38:25.9002073Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9002370Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9004523Z | ^ 2025-08-14T21:38:25.9004871Z /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] 2025-08-14T21:38:25.9005290Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9005429Z | ^ 2025-08-14T21:38:25.9005742Z /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 2025-08-14T21:38:25.9006085Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9006240Z | ^ 2025-08-14T21:38:25.9006805Z /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 2025-08-14T21:38:25.9007255Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9007391Z | ^ 2025-08-14T21:38:25.9007693Z /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 2025-08-14T21:38:25.9009383Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9009526Z | ^ 2025-08-14T21:38:25.9009793Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9010084Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9010226Z | ^ 2025-08-14T21:38:25.9010559Z /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] 2025-08-14T21:38:25.9010925Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9011065Z | ^ 2025-08-14T21:38:25.9011377Z /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 2025-08-14T21:38:25.9011714Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9011867Z | ^ 2025-08-14T21:38:25.9013520Z /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 2025-08-14T21:38:25.9013967Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9014129Z | ^ 2025-08-14T21:38:25.9014429Z /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 2025-08-14T21:38:25.9014754Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9014895Z | ^ 2025-08-14T21:38:25.9015160Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9015455Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9015595Z | ^ 2025-08-14T21:38:25.9015926Z /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] 2025-08-14T21:38:25.9016288Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9017711Z | ^ 2025-08-14T21:38:25.9018053Z /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 2025-08-14T21:38:25.9018393Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9018546Z | ^ 2025-08-14T21:38:25.9018986Z /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 2025-08-14T21:38:25.9019432Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9019564Z | ^ 2025-08-14T21:38:25.9019865Z /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 2025-08-14T21:38:25.9020193Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9020329Z | ^ 2025-08-14T21:38:25.9021792Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9022090Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9022230Z | ^ 2025-08-14T21:38:25.9022560Z /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] 2025-08-14T21:38:25.9022922Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9023059Z | ^ 2025-08-14T21:38:25.9023368Z /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 2025-08-14T21:38:25.9023806Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9023964Z | ^ 2025-08-14T21:38:25.9024412Z /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 2025-08-14T21:38:25.9024859Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9026263Z | ^ 2025-08-14T21:38:25.9026654Z /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 2025-08-14T21:38:25.9027029Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9027168Z | ^ 2025-08-14T21:38:25.9027432Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9027726Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9027866Z | ^ 2025-08-14T21:38:25.9028196Z /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] 2025-08-14T21:38:25.9028557Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9028693Z | ^ 2025-08-14T21:38:25.9029001Z /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 2025-08-14T21:38:25.9030530Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9030689Z | ^ 2025-08-14T21:38:25.9031134Z /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 2025-08-14T21:38:25.9031582Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9031712Z | ^ 2025-08-14T21:38:25.9032013Z /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 2025-08-14T21:38:25.9032335Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9032473Z | ^ 2025-08-14T21:38:25.9032739Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9033025Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9033208Z | ^ 2025-08-14T21:38:25.9034675Z /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] 2025-08-14T21:38:25.9035039Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9035175Z | ^ 2025-08-14T21:38:25.9035484Z /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 2025-08-14T21:38:25.9035820Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9035972Z | ^ 2025-08-14T21:38:25.9036508Z /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 2025-08-14T21:38:25.9036956Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9037086Z | ^ 2025-08-14T21:38:25.9037385Z /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 2025-08-14T21:38:25.9037708Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9038985Z | ^ 2025-08-14T21:38:25.9039287Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9039579Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9040118Z | ^ 2025-08-14T21:38:25.9040453Z /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] 2025-08-14T21:38:25.9040818Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9040954Z | ^ 2025-08-14T21:38:25.9041264Z /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 2025-08-14T21:38:25.9041602Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9041756Z | ^ 2025-08-14T21:38:25.9042229Z /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 2025-08-14T21:38:25.9043866Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9043998Z | ^ 2025-08-14T21:38:25.9044299Z /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 2025-08-14T21:38:25.9044624Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9044760Z | ^ 2025-08-14T21:38:25.9045025Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9045314Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9045454Z | ^ 2025-08-14T21:38:25.9045835Z /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] 2025-08-14T21:38:25.9046197Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9047550Z | ^ 2025-08-14T21:38:25.9047865Z /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 2025-08-14T21:38:25.9048205Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9048359Z | ^ 2025-08-14T21:38:25.9048808Z /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 2025-08-14T21:38:25.9049267Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9049401Z | ^ 2025-08-14T21:38:25.9049703Z /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 2025-08-14T21:38:25.9050027Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9050164Z | ^ 2025-08-14T21:38:25.9050429Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9051904Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9052050Z | ^ 2025-08-14T21:38:25.9052384Z /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] 2025-08-14T21:38:25.9052753Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9052890Z | ^ 2025-08-14T21:38:25.9053199Z /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 2025-08-14T21:38:25.9053535Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9053688Z | ^ 2025-08-14T21:38:25.9054136Z /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 2025-08-14T21:38:25.9054622Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9054754Z | ^ 2025-08-14T21:38:25.9056184Z /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 2025-08-14T21:38:25.9056579Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9056716Z | ^ 2025-08-14T21:38:25.9056983Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9057270Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9057409Z | ^ 2025-08-14T21:38:25.9057741Z /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] 2025-08-14T21:38:25.9058103Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9058292Z | ^ 2025-08-14T21:38:25.9058601Z /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 2025-08-14T21:38:25.9058935Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9060239Z | ^ 2025-08-14T21:38:25.9060690Z /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 2025-08-14T21:38:25.9061146Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9061279Z | ^ 2025-08-14T21:38:25.9061582Z /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 2025-08-14T21:38:25.9061906Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9062043Z | ^ 2025-08-14T21:38:25.9062308Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9062597Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9062735Z | ^ 2025-08-14T21:38:25.9063067Z /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] 2025-08-14T21:38:25.9064597Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9064736Z | ^ 2025-08-14T21:38:25.9065046Z /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 2025-08-14T21:38:25.9065381Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9065531Z | ^ 2025-08-14T21:38:25.9065980Z /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 2025-08-14T21:38:25.9066527Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9066661Z | ^ 2025-08-14T21:38:25.9066990Z /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 2025-08-14T21:38:25.9067313Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9067451Z | ^ 2025-08-14T21:38:25.9068879Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9069170Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9069309Z | ^ 2025-08-14T21:38:25.9069637Z /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] 2025-08-14T21:38:25.9069999Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9070138Z | ^ 2025-08-14T21:38:25.9070498Z /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 2025-08-14T21:38:25.9070832Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9070984Z | ^ 2025-08-14T21:38:25.9071427Z /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 2025-08-14T21:38:25.9073047Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9073189Z | ^ 2025-08-14T21:38:25.9073494Z /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 2025-08-14T21:38:25.9073823Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9073963Z | ^ 2025-08-14T21:38:25.9074227Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9074518Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9074657Z | ^ 2025-08-14T21:38:25.9074987Z /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] 2025-08-14T21:38:25.9075429Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9076784Z | ^ 2025-08-14T21:38:25.9078415Z /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 2025-08-14T21:38:25.9078770Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9078923Z | ^ 2025-08-14T21:38:25.9079371Z /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 2025-08-14T21:38:25.9079889Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9080022Z | ^ 2025-08-14T21:38:25.9080322Z /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 2025-08-14T21:38:25.9080683Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9080820Z | ^ 2025-08-14T21:38:25.9081087Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9081376Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9082829Z | ^ 2025-08-14T21:38:25.9083170Z /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] 2025-08-14T21:38:25.9083540Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9083677Z | ^ 2025-08-14T21:38:25.9083987Z /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 2025-08-14T21:38:25.9084326Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9084537Z | ^ 2025-08-14T21:38:25.9084981Z /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 2025-08-14T21:38:25.9085430Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9085561Z | ^ 2025-08-14T21:38:25.9085863Z /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 2025-08-14T21:38:25.9087551Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9087695Z | ^ 2025-08-14T21:38:25.9087961Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9088253Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9088393Z | ^ 2025-08-14T21:38:25.9088723Z /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] 2025-08-14T21:38:25.9089084Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9089222Z | ^ 2025-08-14T21:38:25.9089528Z /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 2025-08-14T21:38:25.9089890Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9090043Z | ^ 2025-08-14T21:38:25.9091686Z /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 2025-08-14T21:38:25.9092139Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9092271Z | ^ 2025-08-14T21:38:25.9092571Z /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 2025-08-14T21:38:25.9092895Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9093032Z | ^ 2025-08-14T21:38:25.9093299Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9093614Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9093756Z | ^ 2025-08-14T21:38:25.9094088Z /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] 2025-08-14T21:38:25.9094446Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9095775Z | ^ 2025-08-14T21:38:25.9096086Z /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 2025-08-14T21:38:25.9096530Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9096683Z | ^ 2025-08-14T21:38:25.9097195Z /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 2025-08-14T21:38:25.9097646Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9097778Z | ^ 2025-08-14T21:38:25.9098079Z /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 2025-08-14T21:38:25.9098404Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9098541Z | ^ 2025-08-14T21:38:25.9100014Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9100312Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9100452Z | ^ 2025-08-14T21:38:25.9100790Z /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] 2025-08-14T21:38:25.9101153Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9101288Z | ^ 2025-08-14T21:38:25.9101599Z /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 2025-08-14T21:38:25.9101933Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9102113Z | ^ 2025-08-14T21:38:25.9102562Z /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 2025-08-14T21:38:25.9103018Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9104336Z | ^ 2025-08-14T21:38:25.9104642Z /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 2025-08-14T21:38:25.9104966Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9105104Z | ^ 2025-08-14T21:38:25.9105370Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9105662Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9105827Z | ^ 2025-08-14T21:38:25.9106162Z /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] 2025-08-14T21:38:25.9106629Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9106766Z | ^ 2025-08-14T21:38:25.9107077Z /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 2025-08-14T21:38:25.9109815Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9110166Z | ^ 2025-08-14T21:38:25.9110691Z /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 2025-08-14T21:38:25.9111153Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9111342Z | ^ 2025-08-14T21:38:25.9111646Z /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 2025-08-14T21:38:25.9111972Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9112110Z | ^ 2025-08-14T21:38:25.9112375Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9112664Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9112804Z | ^ 2025-08-14T21:38:25.9114382Z /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] 2025-08-14T21:38:25.9114751Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9114888Z | ^ 2025-08-14T21:38:25.9115197Z /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 2025-08-14T21:38:25.9115531Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9115684Z | ^ 2025-08-14T21:38:25.9116136Z /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 2025-08-14T21:38:25.9116710Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9116843Z | ^ 2025-08-14T21:38:25.9117147Z /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 2025-08-14T21:38:25.9117469Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9118864Z | ^ 2025-08-14T21:38:25.9119308Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9119657Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9119798Z | ^ 2025-08-14T21:38:25.9120133Z /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] 2025-08-14T21:38:25.9120537Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9120675Z | ^ 2025-08-14T21:38:25.9120989Z /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 2025-08-14T21:38:25.9121327Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9121480Z | ^ 2025-08-14T21:38:25.9121937Z /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 2025-08-14T21:38:25.9123664Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9123806Z | ^ 2025-08-14T21:38:25.9124162Z /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 2025-08-14T21:38:25.9124489Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9124627Z | ^ 2025-08-14T21:38:25.9125019Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9125312Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9125450Z | ^ 2025-08-14T21:38:25.9125782Z /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] 2025-08-14T21:38:25.9126146Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9127624Z | ^ 2025-08-14T21:38:25.9127942Z /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 2025-08-14T21:38:25.9128278Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9128431Z | ^ 2025-08-14T21:38:25.9128887Z /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 2025-08-14T21:38:25.9129384Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9129516Z | ^ 2025-08-14T21:38:25.9129820Z /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 2025-08-14T21:38:25.9130146Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9130283Z | ^ 2025-08-14T21:38:25.9130551Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9130844Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9130991Z | ^ 2025-08-14T21:38:25.9131443Z /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] 2025-08-14T21:38:25.9131814Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9132178Z | ^ 2025-08-14T21:38:25.9132560Z /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 2025-08-14T21:38:25.9133211Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9135875Z | ^ 2025-08-14T21:38:25.9136349Z /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 2025-08-14T21:38:25.9136912Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9137049Z | ^ 2025-08-14T21:38:25.9137352Z /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 2025-08-14T21:38:25.9137681Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9137872Z | ^ 2025-08-14T21:38:25.9138142Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9138433Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9138573Z | ^ 2025-08-14T21:38:25.9138905Z /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] 2025-08-14T21:38:25.9140922Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9141070Z | ^ 2025-08-14T21:38:25.9141382Z /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 2025-08-14T21:38:25.9141718Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9141877Z | ^ 2025-08-14T21:38:25.9142408Z /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 2025-08-14T21:38:25.9143117Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9143250Z | ^ 2025-08-14T21:38:25.9143555Z /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 2025-08-14T21:38:25.9143913Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9144052Z | ^ 2025-08-14T21:38:25.9145608Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9145905Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9146046Z | ^ 2025-08-14T21:38:25.9146168Z 34 warnings generated when compiling for gfx90a. 2025-08-14T21:38:25.9146626Z /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] 2025-08-14T21:38:25.9147002Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9147144Z | ^ 2025-08-14T21:38:25.9147557Z /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 2025-08-14T21:38:25.9148237Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9151332Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9151515Z | ^ 2025-08-14T21:38:25.9151864Z /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] 2025-08-14T21:38:25.9152221Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.9152357Z | ^~~~~~~~ 2025-08-14T21:38:25.9152701Z /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 2025-08-14T21:38:25.9153300Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:25.9153651Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:25.9153842Z | ^ 2025-08-14T21:38:25.9154173Z /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] 2025-08-14T21:38:25.9154524Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.9154646Z | ^~~~~~~~ 2025-08-14T21:38:25.9155083Z /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 2025-08-14T21:38:25.9155542Z 623 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int32_t); 2025-08-14T21:38:25.9155670Z | ^ 2025-08-14T21:38:25.9155967Z /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' 2025-08-14T21:38:25.9156335Z 620 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, float); \ 2025-08-14T21:38:25.9156591Z | ^ 2025-08-14T21:38:25.9157322Z /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' 2025-08-14T21:38:25.9157752Z 616 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, true); \ 2025-08-14T21:38:25.9157901Z | ^ 2025-08-14T21:38:25.9158192Z /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' 2025-08-14T21:38:25.9158600Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:25.9168606Z | ^ 2025-08-14T21:38:25.9169547Z /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 2025-08-14T21:38:25.9170226Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.9170437Z | ^ 2025-08-14T21:38:25.9170858Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:25.9171340Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:25.9171551Z | ^ 2025-08-14T21:38:25.9172105Z /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] 2025-08-14T21:38:25.9172712Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.9172906Z | ^~~~~~~~ 2025-08-14T21:38:25.9174158Z /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 2025-08-14T21:38:25.9174955Z 623 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int32_t); 2025-08-14T21:38:25.9175171Z | ^ 2025-08-14T21:38:25.9175678Z /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' 2025-08-14T21:38:25.9176275Z 620 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, float); \ 2025-08-14T21:38:25.9176704Z | ^ 2025-08-14T21:38:25.9177191Z /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' 2025-08-14T21:38:25.9177794Z 617 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, false); 2025-08-14T21:38:25.9178050Z | ^ 2025-08-14T21:38:25.9178516Z /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' 2025-08-14T21:38:25.9179389Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:25.9179682Z | ^ 2025-08-14T21:38:25.9180237Z /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 2025-08-14T21:38:25.9180805Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.9180993Z | ^ 2025-08-14T21:38:25.9181384Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:25.9181850Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:25.9182054Z | ^ 2025-08-14T21:38:25.9182568Z /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] 2025-08-14T21:38:25.9183135Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.9183327Z | ^~~~~~~~ 2025-08-14T21:38:25.9184031Z /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 2025-08-14T21:38:25.9184773Z 623 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int32_t); 2025-08-14T21:38:25.9184973Z | ^ 2025-08-14T21:38:25.9185428Z /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' 2025-08-14T21:38:25.9192464Z 621 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, double); 2025-08-14T21:38:25.9192712Z | ^ 2025-08-14T21:38:25.9193196Z /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' 2025-08-14T21:38:25.9193785Z 616 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, true); \ 2025-08-14T21:38:25.9194040Z | ^ 2025-08-14T21:38:25.9194512Z /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' 2025-08-14T21:38:25.9195125Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:25.9195405Z | ^ 2025-08-14T21:38:25.9195957Z /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 2025-08-14T21:38:25.9196825Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.9197019Z | ^ 2025-08-14T21:38:25.9197449Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:25.9197905Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:25.9198102Z | ^ 2025-08-14T21:38:25.9198629Z /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] 2025-08-14T21:38:25.9199217Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.9199409Z | ^~~~~~~~ 2025-08-14T21:38:25.9200295Z /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 2025-08-14T21:38:25.9204309Z 623 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int32_t); 2025-08-14T21:38:25.9204525Z | ^ 2025-08-14T21:38:25.9205200Z /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' 2025-08-14T21:38:25.9205763Z 621 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, double); 2025-08-14T21:38:25.9205978Z | ^ 2025-08-14T21:38:25.9206608Z /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' 2025-08-14T21:38:25.9207179Z 617 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, false); 2025-08-14T21:38:25.9207408Z | ^ 2025-08-14T21:38:25.9207871Z /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' 2025-08-14T21:38:25.9208476Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:25.9208755Z | ^ 2025-08-14T21:38:25.9212064Z /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 2025-08-14T21:38:25.9212631Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.9212819Z | ^ 2025-08-14T21:38:25.9213228Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:25.9213680Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:25.9213875Z | ^ 2025-08-14T21:38:25.9214394Z /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] 2025-08-14T21:38:25.9215064Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.9215247Z | ^~~~~~~~ 2025-08-14T21:38:25.9215963Z /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 2025-08-14T21:38:25.9216835Z 624 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int64_t); 2025-08-14T21:38:25.9219748Z | ^ 2025-08-14T21:38:25.9220234Z /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' 2025-08-14T21:38:25.9220779Z 620 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, float); \ 2025-08-14T21:38:25.9220995Z | ^ 2025-08-14T21:38:25.9221458Z /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' 2025-08-14T21:38:25.9222148Z 616 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, true); \ 2025-08-14T21:38:25.9222377Z | ^ 2025-08-14T21:38:25.9222839Z /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' 2025-08-14T21:38:25.9223425Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:25.9223694Z | ^ 2025-08-14T21:38:25.9226979Z /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 2025-08-14T21:38:25.9227587Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.9227770Z | ^ 2025-08-14T21:38:25.9228177Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:25.9228633Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:25.9228822Z | ^ 2025-08-14T21:38:25.9229484Z /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] 2025-08-14T21:38:25.9230065Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.9230245Z | ^~~~~~~~ 2025-08-14T21:38:25.9230969Z /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 2025-08-14T21:38:25.9231700Z 624 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int64_t); 2025-08-14T21:38:25.9234250Z | ^ 2025-08-14T21:38:25.9234738Z /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' 2025-08-14T21:38:25.9235306Z 620 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, float); \ 2025-08-14T21:38:25.9235513Z | ^ 2025-08-14T21:38:25.9235964Z /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' 2025-08-14T21:38:25.9236698Z 617 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, false); 2025-08-14T21:38:25.9236925Z | ^ 2025-08-14T21:38:25.9237383Z /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' 2025-08-14T21:38:25.9237954Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:25.9238213Z | ^ 2025-08-14T21:38:25.9238737Z /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 2025-08-14T21:38:25.9242112Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.9242340Z | ^ 2025-08-14T21:38:25.9242749Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:25.9243185Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:25.9243376Z | ^ 2025-08-14T21:38:25.9243888Z /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] 2025-08-14T21:38:25.9244448Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.9244636Z | ^~~~~~~~ 2025-08-14T21:38:25.9245336Z /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 2025-08-14T21:38:25.9246186Z 624 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int64_t); 2025-08-14T21:38:25.9246384Z | ^ 2025-08-14T21:38:25.9249672Z /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' 2025-08-14T21:38:25.9250259Z 621 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, double); 2025-08-14T21:38:25.9250474Z | ^ 2025-08-14T21:38:25.9250932Z /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' 2025-08-14T21:38:25.9251493Z 616 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, true); \ 2025-08-14T21:38:25.9251726Z | ^ 2025-08-14T21:38:25.9252193Z /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' 2025-08-14T21:38:25.9252802Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:25.9253074Z | ^ 2025-08-14T21:38:25.9253780Z /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 2025-08-14T21:38:25.9254356Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.9257313Z | ^ 2025-08-14T21:38:25.9257741Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:25.9258191Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:25.9258389Z | ^ 2025-08-14T21:38:25.9258905Z /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] 2025-08-14T21:38:25.9259480Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.9259661Z | ^~~~~~~~ 2025-08-14T21:38:25.9260374Z /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 2025-08-14T21:38:25.9261124Z 624 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int64_t); 2025-08-14T21:38:25.9261320Z | ^ 2025-08-14T21:38:25.9261775Z /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' 2025-08-14T21:38:25.9264906Z 621 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, double); 2025-08-14T21:38:25.9265129Z | ^ 2025-08-14T21:38:25.9265711Z /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' 2025-08-14T21:38:25.9266274Z 617 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, false); 2025-08-14T21:38:25.9266674Z | ^ 2025-08-14T21:38:25.9267142Z /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' 2025-08-14T21:38:25.9267743Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:25.9268003Z | ^ 2025-08-14T21:38:25.9268526Z /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 2025-08-14T21:38:25.9269078Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.9269261Z | ^ 2025-08-14T21:38:25.9272236Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:25.9272796Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:25.9272985Z | ^ 2025-08-14T21:38:25.9273495Z /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] 2025-08-14T21:38:25.9274065Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9274274Z | ^ 2025-08-14T21:38:25.9274756Z /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 2025-08-14T21:38:25.9275283Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9275529Z | ^ 2025-08-14T21:38:25.9276234Z /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 2025-08-14T21:38:25.9277278Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9280309Z | ^ 2025-08-14T21:38:25.9280827Z /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 2025-08-14T21:38:25.9281353Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9281570Z | ^ 2025-08-14T21:38:25.9281982Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9282453Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9282691Z | ^ 2025-08-14T21:38:25.9283253Z /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] 2025-08-14T21:38:25.9283869Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9284094Z | ^ 2025-08-14T21:38:25.9287348Z /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 2025-08-14T21:38:25.9287955Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9288196Z | ^ 2025-08-14T21:38:25.9289008Z /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 2025-08-14T21:38:25.9289723Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9289939Z | ^ 2025-08-14T21:38:25.9290425Z /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 2025-08-14T21:38:25.9290957Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9291175Z | ^ 2025-08-14T21:38:25.9291608Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9292079Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9294924Z | ^ 2025-08-14T21:38:25.9295499Z /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] 2025-08-14T21:38:25.9296209Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9296569Z | ^ 2025-08-14T21:38:25.9297059Z /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 2025-08-14T21:38:25.9297596Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9297836Z | ^ 2025-08-14T21:38:25.9298552Z /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 2025-08-14T21:38:25.9299292Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9299502Z | ^ 2025-08-14T21:38:25.9300123Z /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 2025-08-14T21:38:25.9303258Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9303509Z | ^ 2025-08-14T21:38:25.9303949Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9304433Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9304655Z | ^ 2025-08-14T21:38:25.9305200Z /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] 2025-08-14T21:38:25.9305796Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9306014Z | ^ 2025-08-14T21:38:25.9306651Z /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 2025-08-14T21:38:25.9307196Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9307435Z | ^ 2025-08-14T21:38:25.9310630Z /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 2025-08-14T21:38:25.9311473Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9311689Z | ^ 2025-08-14T21:38:25.9312179Z /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 2025-08-14T21:38:25.9312708Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9312919Z | ^ 2025-08-14T21:38:25.9313347Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9313818Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9314044Z | ^ 2025-08-14T21:38:25.9314588Z /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] 2025-08-14T21:38:25.9315183Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9317995Z | ^ 2025-08-14T21:38:25.9318520Z /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 2025-08-14T21:38:25.9319069Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9319308Z | ^ 2025-08-14T21:38:25.9320141Z /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 2025-08-14T21:38:25.9320885Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9321092Z | ^ 2025-08-14T21:38:25.9321563Z /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 2025-08-14T21:38:25.9322080Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9322426Z | ^ 2025-08-14T21:38:25.9322857Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9325916Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9326147Z | ^ 2025-08-14T21:38:25.9326844Z /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] 2025-08-14T21:38:25.9327435Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9327650Z | ^ 2025-08-14T21:38:25.9328155Z /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 2025-08-14T21:38:25.9328700Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9328940Z | ^ 2025-08-14T21:38:25.9329663Z /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 2025-08-14T21:38:25.9330410Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9333191Z | ^ 2025-08-14T21:38:25.9333834Z /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 2025-08-14T21:38:25.9334369Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9334590Z | ^ 2025-08-14T21:38:25.9335031Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9335505Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9335733Z | ^ 2025-08-14T21:38:25.9336274Z /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] 2025-08-14T21:38:25.9337054Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9337273Z | ^ 2025-08-14T21:38:25.9337781Z /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 2025-08-14T21:38:25.9338438Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9341322Z | ^ 2025-08-14T21:38:25.9342055Z /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 2025-08-14T21:38:25.9342802Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9343011Z | ^ 2025-08-14T21:38:25.9343503Z /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 2025-08-14T21:38:25.9344046Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9344267Z | ^ 2025-08-14T21:38:25.9344824Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9345308Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9345534Z | ^ 2025-08-14T21:38:25.9346070Z /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] 2025-08-14T21:38:25.9346848Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9349674Z | ^ 2025-08-14T21:38:25.9350205Z /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 2025-08-14T21:38:25.9350752Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9350991Z | ^ 2025-08-14T21:38:25.9351710Z /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 2025-08-14T21:38:25.9352443Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9352653Z | ^ 2025-08-14T21:38:25.9353134Z /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 2025-08-14T21:38:25.9353658Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9353988Z | ^ 2025-08-14T21:38:25.9357028Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9357562Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9357795Z | ^ 2025-08-14T21:38:25.9358334Z /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] 2025-08-14T21:38:25.9358933Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9359151Z | ^ 2025-08-14T21:38:25.9359790Z /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 2025-08-14T21:38:25.9360345Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9360693Z | ^ 2025-08-14T21:38:25.9361416Z /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 2025-08-14T21:38:25.9362127Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9364852Z | ^ 2025-08-14T21:38:25.9365397Z /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 2025-08-14T21:38:25.9365943Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9366157Z | ^ 2025-08-14T21:38:25.9366740Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9367202Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9367425Z | ^ 2025-08-14T21:38:25.9368084Z /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] 2025-08-14T21:38:25.9368669Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9368877Z | ^ 2025-08-14T21:38:25.9369356Z /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 2025-08-14T21:38:25.9372319Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9372597Z | ^ 2025-08-14T21:38:25.9373318Z /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 2025-08-14T21:38:25.9374059Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9374264Z | ^ 2025-08-14T21:38:25.9374743Z /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 2025-08-14T21:38:25.9375281Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9375494Z | ^ 2025-08-14T21:38:25.9375907Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9376609Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9376835Z | ^ 2025-08-14T21:38:25.9379953Z /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] 2025-08-14T21:38:25.9380538Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9380760Z | ^ 2025-08-14T21:38:25.9381249Z /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 2025-08-14T21:38:25.9381765Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9382007Z | ^ 2025-08-14T21:38:25.9382745Z /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 2025-08-14T21:38:25.9383602Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9383813Z | ^ 2025-08-14T21:38:25.9384307Z /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 2025-08-14T21:38:25.9384837Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9387616Z | ^ 2025-08-14T21:38:25.9388053Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9388523Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9388739Z | ^ 2025-08-14T21:38:25.9389269Z /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] 2025-08-14T21:38:25.9390016Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9390231Z | ^ 2025-08-14T21:38:25.9390720Z /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 2025-08-14T21:38:25.9391268Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9391506Z | ^ 2025-08-14T21:38:25.9392225Z /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 2025-08-14T21:38:25.9396385Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9396721Z | ^ 2025-08-14T21:38:25.9397195Z /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 2025-08-14T21:38:25.9397714Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9397933Z | ^ 2025-08-14T21:38:25.9398350Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9398807Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9399142Z | ^ 2025-08-14T21:38:25.9399821Z /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] 2025-08-14T21:38:25.9400417Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9403075Z | ^ 2025-08-14T21:38:25.9403635Z /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 2025-08-14T21:38:25.9404183Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9404423Z | ^ 2025-08-14T21:38:25.9405132Z /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 2025-08-14T21:38:25.9405965Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9406169Z | ^ 2025-08-14T21:38:25.9406823Z /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 2025-08-14T21:38:25.9407319Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9407534Z | ^ 2025-08-14T21:38:25.9407958Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9410701Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9410951Z | ^ 2025-08-14T21:38:25.9411498Z /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] 2025-08-14T21:38:25.9412083Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9412306Z | ^ 2025-08-14T21:38:25.9412928Z /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 2025-08-14T21:38:25.9413479Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9413716Z | ^ 2025-08-14T21:38:25.9414425Z /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 2025-08-14T21:38:25.9415142Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9415363Z | ^ 2025-08-14T21:38:25.9418376Z /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 2025-08-14T21:38:25.9418946Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9419164Z | ^ 2025-08-14T21:38:25.9419592Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9420066Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9420292Z | ^ 2025-08-14T21:38:25.9420823Z /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] 2025-08-14T21:38:25.9421539Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9421755Z | ^ 2025-08-14T21:38:25.9422250Z /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 2025-08-14T21:38:25.9422779Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9425365Z | ^ 2025-08-14T21:38:25.9426110Z /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 2025-08-14T21:38:25.9427004Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9427210Z | ^ 2025-08-14T21:38:25.9427682Z /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 2025-08-14T21:38:25.9428332Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9428557Z | ^ 2025-08-14T21:38:25.9428990Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9429431Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9429644Z | ^ 2025-08-14T21:38:25.9430168Z /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] 2025-08-14T21:38:25.9433180Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9433412Z | ^ 2025-08-14T21:38:25.9433940Z /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 2025-08-14T21:38:25.9434672Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9434917Z | ^ 2025-08-14T21:38:25.9435650Z /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 2025-08-14T21:38:25.9436547Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9436766Z | ^ 2025-08-14T21:38:25.9437250Z /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 2025-08-14T21:38:25.9437768Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9437988Z | ^ 2025-08-14T21:38:25.9440922Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9441404Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9441630Z | ^ 2025-08-14T21:38:25.9442147Z /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] 2025-08-14T21:38:25.9442732Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9442949Z | ^ 2025-08-14T21:38:25.9443557Z /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 2025-08-14T21:38:25.9444106Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9444357Z | ^ 2025-08-14T21:38:25.9445064Z /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 2025-08-14T21:38:25.9448338Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9448580Z | ^ 2025-08-14T21:38:25.9449060Z /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 2025-08-14T21:38:25.9449610Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9449931Z | ^ 2025-08-14T21:38:25.9450541Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9451028Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9451250Z | ^ 2025-08-14T21:38:25.9451774Z /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] 2025-08-14T21:38:25.9452371Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9452592Z | ^ 2025-08-14T21:38:25.9455541Z /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 2025-08-14T21:38:25.9456146Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9456532Z | ^ 2025-08-14T21:38:25.9457401Z /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 2025-08-14T21:38:25.9458156Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9458364Z | ^ 2025-08-14T21:38:25.9458852Z /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 2025-08-14T21:38:25.9459402Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9459624Z | ^ 2025-08-14T21:38:25.9460063Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9460543Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9463229Z | ^ 2025-08-14T21:38:25.9463808Z /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] 2025-08-14T21:38:25.9464421Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9464638Z | ^ 2025-08-14T21:38:25.9465121Z /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 2025-08-14T21:38:25.9465810Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9466051Z | ^ 2025-08-14T21:38:25.9466935Z /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 2025-08-14T21:38:25.9467665Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9467881Z | ^ 2025-08-14T21:38:25.9468388Z /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 2025-08-14T21:38:25.9471379Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9471604Z | ^ 2025-08-14T21:38:25.9472048Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9472663Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9472892Z | ^ 2025-08-14T21:38:25.9473453Z /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] 2025-08-14T21:38:25.9474077Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9474306Z | ^ 2025-08-14T21:38:25.9474811Z /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 2025-08-14T21:38:25.9475353Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9475589Z | ^ 2025-08-14T21:38:25.9479072Z /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 2025-08-14T21:38:25.9479954Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9480177Z | ^ 2025-08-14T21:38:25.9480662Z /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 2025-08-14T21:38:25.9481195Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9481419Z | ^ 2025-08-14T21:38:25.9481852Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9482328Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9482561Z | ^ 2025-08-14T21:38:25.9483109Z /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] 2025-08-14T21:38:25.9483711Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9486390Z | ^ 2025-08-14T21:38:25.9487082Z /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 2025-08-14T21:38:25.9487634Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9487879Z | ^ 2025-08-14T21:38:25.9488761Z /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 2025-08-14T21:38:25.9489486Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9489695Z | ^ 2025-08-14T21:38:25.9490170Z /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 2025-08-14T21:38:25.9490701Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9490914Z | ^ 2025-08-14T21:38:25.9493728Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9494222Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9494448Z | ^ 2025-08-14T21:38:25.9495075Z /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] 2025-08-14T21:38:25.9495664Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9495875Z | ^ 2025-08-14T21:38:25.9496379Z /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 2025-08-14T21:38:25.9497122Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9497365Z | ^ 2025-08-14T21:38:25.9498085Z /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 2025-08-14T21:38:25.9498832Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9501426Z | ^ 2025-08-14T21:38:25.9502070Z /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 2025-08-14T21:38:25.9502585Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9502797Z | ^ 2025-08-14T21:38:25.9503207Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9503663Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9503885Z | ^ 2025-08-14T21:38:25.9504393Z /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] 2025-08-14T21:38:25.9504934Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9505138Z | ^ 2025-08-14T21:38:25.9505632Z /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 2025-08-14T21:38:25.9508453Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9508715Z | ^ 2025-08-14T21:38:25.9509442Z /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 2025-08-14T21:38:25.9510279Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9510482Z | ^ 2025-08-14T21:38:25.9510966Z /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 2025-08-14T21:38:25.9511484Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9511694Z | ^ 2025-08-14T21:38:25.9512107Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9512579Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9512799Z | ^ 2025-08-14T21:38:25.9515615Z /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] 2025-08-14T21:38:25.9516305Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9516687Z | ^ 2025-08-14T21:38:25.9517181Z /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 2025-08-14T21:38:25.9517722Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9517962Z | ^ 2025-08-14T21:38:25.9518697Z /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 2025-08-14T21:38:25.9519453Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9519793Z | ^ 2025-08-14T21:38:25.9520294Z /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 2025-08-14T21:38:25.9520949Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9523557Z | ^ 2025-08-14T21:38:25.9524021Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9524497Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9524724Z | ^ 2025-08-14T21:38:25.9524911Z 34 warnings generated when compiling for gfx942. 2025-08-14T21:38:25.9525498Z /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] 2025-08-14T21:38:25.9526095Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9526312Z | ^ 2025-08-14T21:38:25.9526972Z /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 2025-08-14T21:38:25.9527729Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9528201Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9530797Z | ^ 2025-08-14T21:38:25.9531349Z /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] 2025-08-14T21:38:25.9532030Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.9532215Z | ^~~~~~~~ 2025-08-14T21:38:25.9532739Z /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 2025-08-14T21:38:25.9533533Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:25.9533962Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:25.9534149Z | ^ 2025-08-14T21:38:25.9534675Z /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] 2025-08-14T21:38:25.9535238Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.9537909Z | ^~~~~~~~ 2025-08-14T21:38:25.9538654Z /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 2025-08-14T21:38:25.9539500Z 623 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int32_t); 2025-08-14T21:38:25.9539699Z | ^ 2025-08-14T21:38:25.9540173Z /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' 2025-08-14T21:38:25.9540749Z 620 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, float); \ 2025-08-14T21:38:25.9540958Z | ^ 2025-08-14T21:38:25.9541414Z /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' 2025-08-14T21:38:25.9541975Z 616 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, true); \ 2025-08-14T21:38:25.9542211Z | ^ 2025-08-14T21:38:25.9542669Z /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' 2025-08-14T21:38:25.9545430Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:25.9545714Z | ^ 2025-08-14T21:38:25.9546358Z /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 2025-08-14T21:38:25.9547057Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.9547238Z | ^ 2025-08-14T21:38:25.9547639Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:25.9548088Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:25.9548286Z | ^ 2025-08-14T21:38:25.9548801Z /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] 2025-08-14T21:38:25.9549362Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.9549543Z | ^~~~~~~~ 2025-08-14T21:38:25.9552430Z /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 2025-08-14T21:38:25.9553180Z 623 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int32_t); 2025-08-14T21:38:25.9553378Z | ^ 2025-08-14T21:38:25.9553842Z /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' 2025-08-14T21:38:25.9554387Z 620 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, float); \ 2025-08-14T21:38:25.9554700Z | ^ 2025-08-14T21:38:25.9555149Z /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' 2025-08-14T21:38:25.9555701Z 617 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, false); 2025-08-14T21:38:25.9555924Z | ^ 2025-08-14T21:38:25.9556359Z /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' 2025-08-14T21:38:25.9557045Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:25.9559853Z | ^ 2025-08-14T21:38:25.9560385Z /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 2025-08-14T21:38:25.9560938Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.9561110Z | ^ 2025-08-14T21:38:25.9561496Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:25.9562040Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:25.9562228Z | ^ 2025-08-14T21:38:25.9562738Z /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] 2025-08-14T21:38:25.9563293Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.9563477Z | ^~~~~~~~ 2025-08-14T21:38:25.9564143Z /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 2025-08-14T21:38:25.9567402Z 623 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int32_t); 2025-08-14T21:38:25.9567601Z | ^ 2025-08-14T21:38:25.9568060Z /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' 2025-08-14T21:38:25.9568596Z 621 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, double); 2025-08-14T21:38:25.9568938Z | ^ 2025-08-14T21:38:25.9569388Z /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' 2025-08-14T21:38:25.9569945Z 616 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, true); \ 2025-08-14T21:38:25.9570171Z | ^ 2025-08-14T21:38:25.9570626Z /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' 2025-08-14T21:38:25.9571195Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:25.9571450Z | ^ 2025-08-14T21:38:25.9574270Z /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 2025-08-14T21:38:25.9574844Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.9575023Z | ^ 2025-08-14T21:38:25.9575408Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:25.9575838Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:25.9576024Z | ^ 2025-08-14T21:38:25.9576721Z /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] 2025-08-14T21:38:25.9577279Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.9577571Z | ^~~~~~~~ 2025-08-14T21:38:25.9578244Z /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 2025-08-14T21:38:25.9578964Z 623 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int32_t); 2025-08-14T21:38:25.9581560Z | ^ 2025-08-14T21:38:25.9582051Z /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' 2025-08-14T21:38:25.9582585Z 621 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, double); 2025-08-14T21:38:25.9582787Z | ^ 2025-08-14T21:38:25.9583227Z /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' 2025-08-14T21:38:25.9583785Z 617 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, false); 2025-08-14T21:38:25.9584017Z | ^ 2025-08-14T21:38:25.9584568Z /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' 2025-08-14T21:38:25.9585154Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:25.9585412Z | ^ 2025-08-14T21:38:25.9585950Z /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 2025-08-14T21:38:25.9589300Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.9589496Z | ^ 2025-08-14T21:38:25.9589889Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:25.9590347Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:25.9590540Z | ^ 2025-08-14T21:38:25.9591038Z /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] 2025-08-14T21:38:25.9591596Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.9591906Z | ^~~~~~~~ 2025-08-14T21:38:25.9592613Z /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 2025-08-14T21:38:25.9593354Z 624 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int64_t); 2025-08-14T21:38:25.9593553Z | ^ 2025-08-14T21:38:25.9596694Z /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' 2025-08-14T21:38:25.9597262Z 620 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, float); \ 2025-08-14T21:38:25.9597487Z | ^ 2025-08-14T21:38:25.9597925Z /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' 2025-08-14T21:38:25.9598475Z 616 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, true); \ 2025-08-14T21:38:25.9598704Z | ^ 2025-08-14T21:38:25.9599154Z /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' 2025-08-14T21:38:25.9599868Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:25.9600123Z | ^ 2025-08-14T21:38:25.9600642Z /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 2025-08-14T21:38:25.9601321Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.9603960Z | ^ 2025-08-14T21:38:25.9604385Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:25.9604822Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:25.9605012Z | ^ 2025-08-14T21:38:25.9605525Z /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] 2025-08-14T21:38:25.9606072Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.9606253Z | ^~~~~~~~ 2025-08-14T21:38:25.9607060Z /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 2025-08-14T21:38:25.9607782Z 624 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int64_t); 2025-08-14T21:38:25.9608109Z | ^ 2025-08-14T21:38:25.9608548Z /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' 2025-08-14T21:38:25.9611548Z 620 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, float); \ 2025-08-14T21:38:25.9611764Z | ^ 2025-08-14T21:38:25.9612213Z /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' 2025-08-14T21:38:25.9612748Z 617 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, false); 2025-08-14T21:38:25.9612968Z | ^ 2025-08-14T21:38:25.9613418Z /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' 2025-08-14T21:38:25.9614010Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:25.9614287Z | ^ 2025-08-14T21:38:25.9614952Z /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 2025-08-14T21:38:25.9615514Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.9615689Z | ^ 2025-08-14T21:38:25.9618576Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:25.9619043Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:25.9619237Z | ^ 2025-08-14T21:38:25.9619770Z /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] 2025-08-14T21:38:25.9620357Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.9620536Z | ^~~~~~~~ 2025-08-14T21:38:25.9621257Z /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 2025-08-14T21:38:25.9622008Z 624 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int64_t); 2025-08-14T21:38:25.9622208Z | ^ 2025-08-14T21:38:25.9622658Z /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' 2025-08-14T21:38:25.9623209Z 621 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, double); 2025-08-14T21:38:25.9626139Z | ^ 2025-08-14T21:38:25.9626728Z /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' 2025-08-14T21:38:25.9627409Z 616 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, true); \ 2025-08-14T21:38:25.9627638Z | ^ 2025-08-14T21:38:25.9628091Z /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' 2025-08-14T21:38:25.9628686Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:25.9628949Z | ^ 2025-08-14T21:38:25.9629482Z /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 2025-08-14T21:38:25.9630044Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.9630222Z | ^ 2025-08-14T21:38:25.9630607Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:25.9633262Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:25.9633551Z | ^ 2025-08-14T21:38:25.9634063Z /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] 2025-08-14T21:38:25.9634622Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.9634801Z | ^~~~~~~~ 2025-08-14T21:38:25.9635489Z /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 2025-08-14T21:38:25.9636218Z 624 | INSTANTIATE_CSR2CSC_TEMPLATE_2(int64_t); 2025-08-14T21:38:25.9636521Z | ^ 2025-08-14T21:38:25.9636965Z /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' 2025-08-14T21:38:25.9637495Z 621 | INSTANTIATE_CSR2CSC_TEMPLATE_1(index_t, double); 2025-08-14T21:38:25.9640064Z | ^ 2025-08-14T21:38:25.9640695Z /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' 2025-08-14T21:38:25.9641253Z 617 | INSTANTIATE_CSR2CSC_TEMPLATE_0(index_t, scalar_t, false); 2025-08-14T21:38:25.9641470Z | ^ 2025-08-14T21:38:25.9641911Z /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' 2025-08-14T21:38:25.9642484Z 605 | template void csr2csc_template_( \ 2025-08-14T21:38:25.9642743Z | ^ 2025-08-14T21:38:25.9643272Z /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 2025-08-14T21:38:25.9643812Z 488 | int num_uniq[max_thds][64]; 2025-08-14T21:38:25.9643988Z | ^ 2025-08-14T21:38:25.9644384Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:487:7: note: declared here 2025-08-14T21:38:25.9647307Z 487 | int max_thds = omp_get_max_threads(); 2025-08-14T21:38:25.9647528Z | ^ 2025-08-14T21:38:25.9648037Z /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] 2025-08-14T21:38:25.9648630Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9648854Z | ^ 2025-08-14T21:38:25.9649357Z /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 2025-08-14T21:38:25.9650033Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9650269Z | ^ 2025-08-14T21:38:25.9650963Z /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 2025-08-14T21:38:25.9651693Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9651901Z | ^ 2025-08-14T21:38:25.9654664Z /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 2025-08-14T21:38:25.9655220Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9655444Z | ^ 2025-08-14T21:38:25.9655973Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9656632Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9656856Z | ^ 2025-08-14T21:38:25.9657380Z /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] 2025-08-14T21:38:25.9657970Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9658185Z | ^ 2025-08-14T21:38:25.9658679Z /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 2025-08-14T21:38:25.9659228Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9661732Z | ^ 2025-08-14T21:38:25.9662605Z /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 2025-08-14T21:38:25.9663324Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9663535Z | ^ 2025-08-14T21:38:25.9664009Z /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 2025-08-14T21:38:25.9664537Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9664754Z | ^ 2025-08-14T21:38:25.9665177Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9665636Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9665854Z | ^ 2025-08-14T21:38:25.9666385Z /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] 2025-08-14T21:38:25.9669244Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9669453Z | ^ 2025-08-14T21:38:25.9669944Z /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 2025-08-14T21:38:25.9670484Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9670803Z | ^ 2025-08-14T21:38:25.9671462Z /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 2025-08-14T21:38:25.9672179Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9672387Z | ^ 2025-08-14T21:38:25.9672866Z /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 2025-08-14T21:38:25.9673373Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9673581Z | ^ 2025-08-14T21:38:25.9676203Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9676807Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9677118Z | ^ 2025-08-14T21:38:25.9677652Z /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] 2025-08-14T21:38:25.9678236Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9678451Z | ^ 2025-08-14T21:38:25.9678942Z /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 2025-08-14T21:38:25.9679487Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9679892Z | ^ 2025-08-14T21:38:25.9680598Z /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 2025-08-14T21:38:25.9681315Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9683979Z | ^ 2025-08-14T21:38:25.9684487Z /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 2025-08-14T21:38:25.9685024Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9685244Z | ^ 2025-08-14T21:38:25.9685664Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9686117Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9686346Z | ^ 2025-08-14T21:38:25.9687038Z /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] 2025-08-14T21:38:25.9687644Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9687857Z | ^ 2025-08-14T21:38:25.9690664Z /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 2025-08-14T21:38:25.9691233Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9691472Z | ^ 2025-08-14T21:38:25.9692202Z /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 2025-08-14T21:38:25.9693026Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9693238Z | ^ 2025-08-14T21:38:25.9693731Z /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 2025-08-14T21:38:25.9694237Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9694445Z | ^ 2025-08-14T21:38:25.9694855Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9695320Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9697945Z | ^ 2025-08-14T21:38:25.9698507Z /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] 2025-08-14T21:38:25.9699196Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9699412Z | ^ 2025-08-14T21:38:25.9699924Z /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 2025-08-14T21:38:25.9700464Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9700708Z | ^ 2025-08-14T21:38:25.9701449Z /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 2025-08-14T21:38:25.9702175Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9702381Z | ^ 2025-08-14T21:38:25.9702949Z /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 2025-08-14T21:38:25.9705578Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9705804Z | ^ 2025-08-14T21:38:25.9706224Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9706802Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9707024Z | ^ 2025-08-14T21:38:25.9707572Z /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] 2025-08-14T21:38:25.9708188Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9708423Z | ^ 2025-08-14T21:38:25.9708953Z /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 2025-08-14T21:38:25.9709493Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9709733Z | ^ 2025-08-14T21:38:25.9712529Z /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 2025-08-14T21:38:25.9713254Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9713564Z | ^ 2025-08-14T21:38:25.9714051Z /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 2025-08-14T21:38:25.9714563Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9714776Z | ^ 2025-08-14T21:38:25.9715186Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9715654Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9715871Z | ^ 2025-08-14T21:38:25.9716382Z /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] 2025-08-14T21:38:25.9717083Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9719729Z | ^ 2025-08-14T21:38:25.9720354Z /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 2025-08-14T21:38:25.9720890Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9721120Z | ^ 2025-08-14T21:38:25.9721804Z /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 2025-08-14T21:38:25.9722521Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9722728Z | ^ 2025-08-14T21:38:25.9723212Z /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 2025-08-14T21:38:25.9723748Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9723970Z | ^ 2025-08-14T21:38:25.9724533Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9727550Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9727788Z | ^ 2025-08-14T21:38:25.9728338Z /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] 2025-08-14T21:38:25.9728945Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9729166Z | ^ 2025-08-14T21:38:25.9729664Z /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 2025-08-14T21:38:25.9730186Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9730425Z | ^ 2025-08-14T21:38:25.9731119Z /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 2025-08-14T21:38:25.9731836Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9734344Z | ^ 2025-08-14T21:38:25.9734847Z /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 2025-08-14T21:38:25.9735478Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9735690Z | ^ 2025-08-14T21:38:25.9736109Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9736691Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9736911Z | ^ 2025-08-14T21:38:25.9737438Z /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] 2025-08-14T21:38:25.9738033Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9738248Z | ^ 2025-08-14T21:38:25.9738741Z /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 2025-08-14T21:38:25.9741713Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9741987Z | ^ 2025-08-14T21:38:25.9742703Z /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 2025-08-14T21:38:25.9743435Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9743645Z | ^ 2025-08-14T21:38:25.9744125Z /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 2025-08-14T21:38:25.9744676Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9744894Z | ^ 2025-08-14T21:38:25.9745308Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9745930Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9746149Z | ^ 2025-08-14T21:38:25.9749193Z /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] 2025-08-14T21:38:25.9749804Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9750022Z | ^ 2025-08-14T21:38:25.9750521Z /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 2025-08-14T21:38:25.9751075Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9751317Z | ^ 2025-08-14T21:38:25.9752040Z /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 2025-08-14T21:38:25.9752785Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9753002Z | ^ 2025-08-14T21:38:25.9753477Z /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 2025-08-14T21:38:25.9753994Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9756872Z | ^ 2025-08-14T21:38:25.9757326Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9757813Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9758038Z | ^ 2025-08-14T21:38:25.9758588Z /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] 2025-08-14T21:38:25.9759192Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9759416Z | ^ 2025-08-14T21:38:25.9760123Z /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 2025-08-14T21:38:25.9760720Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9760987Z | ^ 2025-08-14T21:38:25.9761919Z /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 2025-08-14T21:38:25.9765154Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9765377Z | ^ 2025-08-14T21:38:25.9765882Z /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 2025-08-14T21:38:25.9766599Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9766826Z | ^ 2025-08-14T21:38:25.9767242Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9767714Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9767935Z | ^ 2025-08-14T21:38:25.9768645Z /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] 2025-08-14T21:38:25.9769219Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9769440Z | ^ 2025-08-14T21:38:25.9772478Z /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 2025-08-14T21:38:25.9773055Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9773309Z | ^ 2025-08-14T21:38:25.9774029Z /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 2025-08-14T21:38:25.9774776Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9774988Z | ^ 2025-08-14T21:38:25.9775473Z /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 2025-08-14T21:38:25.9775997Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9776212Z | ^ 2025-08-14T21:38:25.9776893Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9779925Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9780193Z | ^ 2025-08-14T21:38:25.9780755Z /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] 2025-08-14T21:38:25.9781362Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9781584Z | ^ 2025-08-14T21:38:25.9782094Z /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 2025-08-14T21:38:25.9782657Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9782902Z | ^ 2025-08-14T21:38:25.9783631Z /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 2025-08-14T21:38:25.9784471Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9784687Z | ^ 2025-08-14T21:38:25.9787827Z /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 2025-08-14T21:38:25.9788406Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9788627Z | ^ 2025-08-14T21:38:25.9789064Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9789549Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9789779Z | ^ 2025-08-14T21:38:25.9790320Z /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] 2025-08-14T21:38:25.9790915Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9791274Z | ^ 2025-08-14T21:38:25.9791769Z /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 2025-08-14T21:38:25.9792309Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9795069Z | ^ 2025-08-14T21:38:25.9795830Z /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 2025-08-14T21:38:25.9796743Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9796958Z | ^ 2025-08-14T21:38:25.9797456Z /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 2025-08-14T21:38:25.9798006Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9798231Z | ^ 2025-08-14T21:38:25.9798678Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9799167Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9799400Z | ^ 2025-08-14T21:38:25.9800099Z /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] 2025-08-14T21:38:25.9804711Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9804948Z | ^ 2025-08-14T21:38:25.9805462Z /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 2025-08-14T21:38:25.9806002Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9806239Z | ^ 2025-08-14T21:38:25.9807032Z /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 2025-08-14T21:38:25.9807701Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9808052Z | ^ 2025-08-14T21:38:25.9808501Z /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 2025-08-14T21:38:25.9808980Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9809192Z | ^ 2025-08-14T21:38:25.9811650Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9812090Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9812301Z | ^ 2025-08-14T21:38:25.9812804Z /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] 2025-08-14T21:38:25.9813334Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9813538Z | ^ 2025-08-14T21:38:25.9814081Z /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 2025-08-14T21:38:25.9814577Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9814803Z | ^ 2025-08-14T21:38:25.9815448Z /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 2025-08-14T21:38:25.9816101Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9818098Z | ^ 2025-08-14T21:38:25.9818443Z /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 2025-08-14T21:38:25.9818810Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9818968Z | ^ 2025-08-14T21:38:25.9819177Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9819261Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9819306Z | ^ 2025-08-14T21:38:25.9819607Z /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] 2025-08-14T21:38:25.9819713Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9819763Z | ^ 2025-08-14T21:38:25.9820020Z /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 2025-08-14T21:38:25.9820099Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9820152Z | ^ 2025-08-14T21:38:25.9820559Z /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 2025-08-14T21:38:25.9820622Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9820667Z | ^ 2025-08-14T21:38:25.9820925Z /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 2025-08-14T21:38:25.9822413Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9822469Z | ^ 2025-08-14T21:38:25.9822684Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9822759Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9822804Z | ^ 2025-08-14T21:38:25.9823104Z /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] 2025-08-14T21:38:25.9823167Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9823217Z | ^ 2025-08-14T21:38:25.9823474Z /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 2025-08-14T21:38:25.9823557Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9823665Z | ^ 2025-08-14T21:38:25.9824069Z /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 2025-08-14T21:38:25.9824130Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9824175Z | ^ 2025-08-14T21:38:25.9824428Z /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 2025-08-14T21:38:25.9824493Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9824543Z | ^ 2025-08-14T21:38:25.9824753Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9824826Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9824867Z | ^ 2025-08-14T21:38:25.9825165Z /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] 2025-08-14T21:38:25.9826687Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9826740Z | ^ 2025-08-14T21:38:25.9826974Z /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 2025-08-14T21:38:25.9827116Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9827162Z | ^ 2025-08-14T21:38:25.9827526Z /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 2025-08-14T21:38:25.9827582Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9827621Z | ^ 2025-08-14T21:38:25.9827849Z /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 2025-08-14T21:38:25.9827906Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9827953Z | ^ 2025-08-14T21:38:25.9828159Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9828228Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9828265Z | ^ 2025-08-14T21:38:25.9828531Z /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] 2025-08-14T21:38:25.9828587Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9828631Z | ^ 2025-08-14T21:38:25.9828857Z /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 2025-08-14T21:38:25.9828928Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9828975Z | ^ 2025-08-14T21:38:25.9829393Z /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 2025-08-14T21:38:25.9829450Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9830661Z | ^ 2025-08-14T21:38:25.9830890Z /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 2025-08-14T21:38:25.9830949Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9830992Z | ^ 2025-08-14T21:38:25.9831178Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9831245Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9831282Z | ^ 2025-08-14T21:38:25.9831551Z /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] 2025-08-14T21:38:25.9831609Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9831652Z | ^ 2025-08-14T21:38:25.9831879Z /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 2025-08-14T21:38:25.9831947Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9832016Z | ^ 2025-08-14T21:38:25.9832387Z /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 2025-08-14T21:38:25.9832443Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9832481Z | ^ 2025-08-14T21:38:25.9832708Z /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 2025-08-14T21:38:25.9832764Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9832807Z | ^ 2025-08-14T21:38:25.9832989Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9833073Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9834240Z | ^ 2025-08-14T21:38:25.9834511Z /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] 2025-08-14T21:38:25.9834568Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9834613Z | ^ 2025-08-14T21:38:25.9834842Z /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 2025-08-14T21:38:25.9834913Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9834958Z | ^ 2025-08-14T21:38:25.9835328Z /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 2025-08-14T21:38:25.9835424Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9835464Z | ^ 2025-08-14T21:38:25.9835690Z /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 2025-08-14T21:38:25.9835748Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9835792Z | ^ 2025-08-14T21:38:25.9835976Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9836042Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9836081Z | ^ 2025-08-14T21:38:25.9836347Z /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] 2025-08-14T21:38:25.9836502Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9836546Z | ^ 2025-08-14T21:38:25.9836774Z /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 2025-08-14T21:38:25.9836841Z 91 | at::parallel_for(0, B, 0, [&](int64_t b_begin, int64_t b_end) { 2025-08-14T21:38:25.9838019Z | ^ 2025-08-14T21:38:25.9838396Z /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 2025-08-14T21:38:25.9838497Z 238 | split_embedding_forward_cpu_kernel< 2025-08-14T21:38:25.9838535Z | ^ 2025-08-14T21:38:25.9838766Z /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 2025-08-14T21:38:25.9838824Z 138 | at::acc_type output_buf[D]; 2025-08-14T21:38:25.9838868Z | ^ 2025-08-14T21:38:25.9839050Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/codegen/training/forward/embedding_forward_split_cpu_hip.cpp:94:18: note: declared here 2025-08-14T21:38:25.9839116Z 94 | const auto D = D_offsets_data[t + 1] - D_offsets_data[t]; 2025-08-14T21:38:25.9839155Z | ^ 2025-08-14T21:38:25.9839211Z 34 warnings generated when compiling for host. 2025-08-14T21:38:25.9839238Z 2025-08-14T21:38:26.0347558Z [128/612] Linking CXX shared library fbgemm_gpu_tbe_common.so 2025-08-14T21:38:26.0711075Z [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_rowwise_adagrad_split_unweighted_meta_hip.cpp.o 2025-08-14T21:38:26.0747547Z [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_rowwise_adagrad_split_weighted_meta_hip.cpp.o 2025-08-14T21:38:26.0752004Z [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_lars_sgd_split_weighted_meta_hip.cpp.o 2025-08-14T21:38:26.2718093Z [132/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_split_host.dir/fbgemm_gpu_tbe_training_backward_split_host_generated_gen_embedding_backward_partial_rowwise_adam_split_weighted_meta_hip.cpp.o 2025-08-14T21:38:26.2718265Z [133/612] Linking CXX shared library fbgemm_gpu_tbe_common.so 2025-08-14T21:38:26.2723173Z [133/612] 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 2025-08-14T21:38:26.2723888Z [133/612] 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 2025-08-14T21:38:26.2728552Z [133/612] 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 2025-08-14T21:38:26.2737104Z [133/612] 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 2025-08-14T21:38:26.2737920Z 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2025-08-14T21:38:26.2754274Z [133/612] 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 2025-08-14T21:38:26.2756926Z [133/612] 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 2025-08-14T21:38:26.2757951Z [133/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_weighted_kernel.hip.o 2025-08-14T21:38:26.2764710Z [133/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_dense_weighted_kernel.hip.o 2025-08-14T21:38:26.2765301Z [133/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_ssd_weighted_kernel.hip.o 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/var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build && bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../.github/scripts/fbgemm_gpu_postbuild.bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_tbe_common.so 1 2025-08-14T21:38:26.2788475Z ################################################################################ 2025-08-14T21:38:26.2788581Z [CMAKE] Running post-build script ... 2025-08-14T21:38:26.2788904Z Target file: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_tbe_common.so 2025-08-14T21:38:26.2788998Z Resetting RPATH to $ORIGIN ... 2025-08-14T21:38:26.2789146Z 0x000000000000000f (RPATH) Library rpath: [$ORIGIN] 2025-08-14T21:38:26.2789250Z ################################################################################ 2025-08-14T21:38:26.2789256Z 2025-08-14T21:38:26.4711527Z [134/612] Building HIPCC object 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CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_ssd_unweighted_codegen_hip.hip.o 2025-08-14T21:38:26.7175356Z [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 2025-08-14T21:38:26.9535988Z [137/612] 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 2025-08-14T21:38:26.9538209Z [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_partial_rowwise_lamb_split_weighted_meta_hip.cpp.o 2025-08-14T21:38:27.0852518Z [138/612] 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 2025-08-14T21:38:27.0853588Z [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_none_split_weighted_meta_hip.cpp.o 2025-08-14T21:38:27.2540224Z [139/612] 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 2025-08-14T21:38:27.2541040Z [140/612] 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 2025-08-14T21:38:27.3503137Z [140/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_weighted_gwd_codegen_hip.hip.o 2025-08-14T21:38:27.3504079Z [141/612] 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 2025-08-14T21:38:28.3421295Z [141/612] 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 2025-08-14T21:38:28.3422428Z [142/612] 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 2025-08-14T21:38:29.8203347Z [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 2025-08-14T21:38:29.8204023Z [143/612] 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 2025-08-14T21:38:29.9240162Z [143/612] 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 2025-08-14T21:38:29.9248471Z [144/612] 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 2025-08-14T21:38:30.0104663Z [144/612] 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 2025-08-14T21:38:30.0105346Z [145/612] 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 2025-08-14T21:38:30.0105939Z [145/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_weighted_vbe_gwd_kernel.hip.o 2025-08-14T21:38:30.0106745Z [146/612] 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 2025-08-14T21:38:30.7092688Z [146/612] 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 2025-08-14T21:38:30.7094248Z [147/612] 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 2025-08-14T21:38:32.3880874Z [147/612] 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 2025-08-14T21:38:32.3907620Z [148/612] 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 2025-08-14T21:38:32.7974861Z [148/612] 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 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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_weight_decay_hip.cpp.o 2025-08-14T21:38:35.2243732Z [151/612] 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 2025-08-14T21:38:35.2250299Z [152/612] 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 2025-08-14T21:38:35.2253437Z [152/612] 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 2025-08-14T21:38:35.2254499Z [153/612] 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_sgd_hip.cpp.o 2025-08-14T21:38:35.7875446Z [153/612] 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 2025-08-14T21:38:35.7877119Z [154/612] 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 2025-08-14T21:38:36.4154236Z [154/612] 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 2025-08-14T21:38:36.4167242Z [155/612] 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 2025-08-14T21:38:37.5344549Z [155/612] 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 2025-08-14T21:38:37.5359788Z [156/612] Building HIPCC object CMakeFiles/fbgemm_gpu_sparse_async_cumsum.dir/src/sparse_ops/fbgemm_gpu_sparse_async_cumsum_generated_sparse_async_cumsum.hip.o 2025-08-14T21:38:38.4696423Z [156/612] Linking CXX shared library fbgemm_gpu_sparse_async_cumsum.so 2025-08-14T21:38:38.4696979Z [157/612] Linking CXX shared library fbgemm_gpu_sparse_async_cumsum.so 2025-08-14T21:38:38.7963539Z [157/612] 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 2025-08-14T21:38:38.7964222Z [158/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_inference.dir/fbgemm_gpu_tbe_inference_generated_gen_embedding_forward_quantized_split_nbit_kernel_unweighted_fp32_codegen_hip.hip.o 2025-08-14T21:38:38.8336791Z [158/612] 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 2025-08-14T21:38:38.8345280Z [159/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_inference.dir/fbgemm_gpu_tbe_inference_generated_gen_embedding_forward_quantized_split_nbit_kernel_weighted_fp32_codegen_hip.hip.o 2025-08-14T21:38:38.8396223Z [159/612] 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 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CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_ssd_unweighted_nobag_kernel_small.hip.o 2025-08-14T21:38:42.5784669Z [165/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_split_host.dir/fbgemm_gpu_tbe_training_backward_split_host_generated_gen_embedding_backward_split_adagrad_hip.cpp.o 2025-08-14T21:38:42.5820796Z [165/612] 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 2025-08-14T21:38:42.5821490Z [166/612] 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 2025-08-14T21:38:42.6037085Z [166/612] 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 2025-08-14T21:38:42.6037815Z [167/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_inference.dir/fbgemm_gpu_tbe_inference_generated_gen_embedding_forward_quantized_split_nbit_host_unweighted_nobag_codegen_hip.hip.o 2025-08-14T21:38:44.1576310Z [167/612] 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 2025-08-14T21:38:44.1577800Z [168/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_split_host.dir/fbgemm_gpu_tbe_training_backward_split_host_generated_gen_embedding_backward_split_adam_hip.cpp.o 2025-08-14T21:38:44.6910032Z [168/612] 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 2025-08-14T21:38:44.6910745Z [169/612] 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 2025-08-14T21:38:45.1236158Z [169/612] 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 2025-08-14T21:38:45.1237152Z [170/612] 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 2025-08-14T21:38:45.6451742Z [170/612] 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 2025-08-14T21:38:45.6452980Z [171/612] 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_counter_hip.cpp.o 2025-08-14T21:38:46.4791032Z [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 2025-08-14T21:38:46.4791798Z [172/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_inference.dir/fbgemm_gpu_tbe_inference_generated_gen_embedding_forward_quantized_split_nbit_kernel_unweighted_fp16_codegen_hip.hip.o 2025-08-14T21:38:46.7805764Z [172/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_split_partial_rowwise_lamb_pt2_autograd_hip.cpp.o 2025-08-14T21:38:46.7809692Z [173/612] 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 2025-08-14T21:38:47.2514008Z [173/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_split_none_pt2_autograd_hip.cpp.o 2025-08-14T21:38:47.2515942Z [174/612] 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 2025-08-14T21:38:47.2542943Z [174/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_split_approx_sgd_pt2_autograd_hip.cpp.o 2025-08-14T21:38:47.2544781Z [175/612] 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 2025-08-14T21:38:47.2611467Z [175/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_split_rowwise_adagrad_with_counter_pt2_autograd_hip.cpp.o 2025-08-14T21:38:47.2649983Z [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 2025-08-14T21:38:48.0378709Z [176/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_split_approx_rowwise_adagrad_pt2_autograd_hip.cpp.o 2025-08-14T21:38:48.0379476Z [177/612] 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 2025-08-14T21:38:48.3033859Z [177/612] Linking CXX shared library fbgemm_gpu_tbe_training_backward_split_host.so 2025-08-14T21:38:48.3041521Z [178/612] 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 2025-08-14T21:38:48.6465241Z [178/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_split_approx_rowwise_adagrad_with_weight_decay_pt2_autograd_hip.cpp.o 2025-08-14T21:38:48.6466012Z [179/612] Linking CXX shared library fbgemm_gpu_tbe_training_backward_split_host.so 2025-08-14T21:38:48.6900214Z [179/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_split_approx_rowwise_adagrad_with_counter_pt2_autograd_hip.cpp.o 2025-08-14T21:38:48.6901564Z [180/612] 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 2025-08-14T21:38:49.0595545Z [180/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_ssd_rowwise_adagrad_pt2_autograd_hip.cpp.o 2025-08-14T21:38:49.0596877Z [181/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_inference.dir/fbgemm_gpu_tbe_inference_generated_gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_int2_codegen_hip.hip.o 2025-08-14T21:38:49.2179277Z [181/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_split_rowwise_adagrad_with_weight_decay_pt2_autograd_hip.cpp.o 2025-08-14T21:38:49.2188187Z [182/612] 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 2025-08-14T21:38:49.6897838Z [182/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_split_rowwise_weighted_adagrad_pt2_autograd_hip.cpp.o 2025-08-14T21:38:49.6899706Z [183/612] 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 2025-08-14T21:38:49.9344377Z [183/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_adagrad_pt2_cpu_wrapper_hip.cpp.o 2025-08-14T21:38:49.9345737Z [184/612] 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 2025-08-14T21:38:50.2784495Z [184/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_sgd_pt2_cpu_wrapper_hip.cpp.o 2025-08-14T21:38:50.2785235Z [185/612] 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 2025-08-14T21:38:52.4765181Z [185/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_rowwise_adagrad_pt2_cpu_wrapper_hip.cpp.o 2025-08-14T21:38:52.4766167Z [186/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_inference.dir/fbgemm_gpu_tbe_inference_generated_gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_fp16_codegen_hip.hip.o 2025-08-14T21:38:52.7290110Z [186/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_adam_pt2_cpu_wrapper.cpp.o 2025-08-14T21:38:52.7291421Z [187/612] 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 2025-08-14T21:38:53.7523061Z [187/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_lamb_pt2_cpu_wrapper.cpp.o 2025-08-14T21:38:53.7523786Z [188/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_inference.dir/fbgemm_gpu_tbe_inference_generated_gen_embedding_forward_quantized_split_nbit_kernel_unweighted_int2_codegen_hip.hip.o 2025-08-14T21:38:54.7542436Z [188/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_lars_sgd_pt2_cpu_wrapper.cpp.o 2025-08-14T21:38:54.7543133Z [189/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_adam_pt2_cpu_wrapper.cpp.o 2025-08-14T21:38:54.9785381Z [189/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_none_pt2_cpu_wrapper.cpp.o 2025-08-14T21:38:54.9786939Z [190/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_inference.dir/fbgemm_gpu_tbe_inference_generated_gen_embedding_forward_quantized_split_nbit_kernel_weighted_fp16_codegen_hip.hip.o 2025-08-14T21:38:55.1329598Z [190/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_partial_rowwise_adam_pt2_cpu_wrapper.cpp.o 2025-08-14T21:38:55.1330901Z [191/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_lamb_pt2_cpu_wrapper.cpp.o 2025-08-14T21:38:55.3187909Z [191/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_partial_rowwise_lamb_pt2_cpu_wrapper.cpp.o 2025-08-14T21:38:55.3189807Z [192/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_inference.dir/fbgemm_gpu_tbe_inference_generated_gen_embedding_forward_quantized_split_nbit_host_unweighted_codegen_hip.hip.o 2025-08-14T21:38:55.9064918Z [192/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_approx_sgd_pt2_cpu_wrapper.cpp.o 2025-08-14T21:38:55.9075545Z [193/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_lars_sgd_pt2_cpu_wrapper.cpp.o 2025-08-14T21:38:56.2810708Z [193/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_rowwise_adagrad_with_counter_pt2_cpu_wrapper.cpp.o 2025-08-14T21:38:56.2812183Z [194/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_inference.dir/fbgemm_gpu_tbe_inference_generated_gen_embedding_forward_quantized_split_nbit_kernel_weighted_int2_codegen_hip.hip.o 2025-08-14T21:38:56.9015610Z [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 2025-08-14T21:38:56.9017039Z [195/612] 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 2025-08-14T21:38:57.0443788Z [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 2025-08-14T21:38:57.0445000Z [196/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_none_pt2_cpu_wrapper.cpp.o 2025-08-14T21:38:57.3567457Z [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 2025-08-14T21:38:57.3568913Z [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_adam_pt2_cpu_wrapper.cpp.o 2025-08-14T21:38:57.5571944Z [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 2025-08-14T21:38:57.5572973Z [198/612] 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 2025-08-14T21:38:57.6271618Z [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 2025-08-14T21:38:57.6272448Z [199/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_partial_rowwise_lamb_pt2_cpu_wrapper.cpp.o 2025-08-14T21:38:57.9511639Z [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 2025-08-14T21:38:57.9512843Z [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 2025-08-14T21:38:58.2377205Z [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 2025-08-14T21:38:58.2379442Z [201/612] 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 2025-08-14T21:38:58.2425110Z [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 2025-08-14T21:38:58.2426306Z [202/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_inference.dir/fbgemm_gpu_tbe_inference_generated_gen_embedding_forward_quantized_split_nbit_host_weighted_codegen_hip.hip.o 2025-08-14T21:38:58.2455373Z [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 2025-08-14T21:38:58.2456639Z [203/612] 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 2025-08-14T21:38:58.4112462Z [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 2025-08-14T21:38:58.4113252Z [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_with_counter_pt2_cpu_wrapper.cpp.o 2025-08-14T21:38:58.7672767Z [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 2025-08-14T21:38:58.7680282Z [205/612] 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 2025-08-14T21:38:58.8888944Z [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 2025-08-14T21:38:58.8889634Z [206/612] 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 2025-08-14T21:38:58.8916123Z [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 2025-08-14T21:38:58.8916964Z [207/612] 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 2025-08-14T21:38:59.4498866Z [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 2025-08-14T21:38:59.4500468Z [208/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_inference.dir/fbgemm_gpu_tbe_inference_generated_gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_fp8_codegen_hip.hip.o 2025-08-14T21:38:59.5827131Z [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 2025-08-14T21:38:59.5836971Z [209/612] 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 2025-08-14T21:38:59.9271067Z [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 2025-08-14T21:38:59.9272913Z [210/612] 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 2025-08-14T21:39:00.1897176Z [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 2025-08-14T21:39:00.1898603Z [211/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_rowwise_adagrad_with_weight_decay_pt2_cpu_wrapper.cpp.o 2025-08-14T21:39:01.0580822Z [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 2025-08-14T21:39:01.0587206Z [212/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_rowwise_weighted_adagrad_pt2_cpu_wrapper.cpp.o 2025-08-14T21:39:01.4014068Z [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 2025-08-14T21:39:01.4022565Z [213/612] 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 2025-08-14T21:39:01.5713308Z [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 2025-08-14T21:39:01.5715214Z [214/612] 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 2025-08-14T21:39:01.8151395Z [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 2025-08-14T21:39:01.8152154Z [215/612] 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 2025-08-14T21:39:02.5561404Z [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 2025-08-14T21:39:02.5562204Z [216/612] 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 2025-08-14T21:39:02.5563584Z [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 2025-08-14T21:39:02.5571001Z [217/612] 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 2025-08-14T21:39:02.5744950Z [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 2025-08-14T21:39:02.5745653Z [218/612] 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 2025-08-14T21:39:02.8790990Z [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 2025-08-14T21:39:02.8792405Z [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 2025-08-14T21:39:04.1490992Z [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 2025-08-14T21:39:04.1491723Z [220/612] 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 2025-08-14T21:39:04.1769923Z [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 2025-08-14T21:39:04.1770728Z [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_with_counter_pt2_cuda_wrapper.cpp.o 2025-08-14T21:39:04.6513978Z [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 2025-08-14T21:39:04.6515208Z [222/612] 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 2025-08-14T21:39:04.7227466Z [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 2025-08-14T21:39:04.7229155Z [223/612] 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 2025-08-14T21:39:04.7986092Z [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 2025-08-14T21:39:04.7987401Z [224/612] 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 2025-08-14T21:39:05.1422749Z [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 2025-08-14T21:39:05.1423524Z [225/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_approx_rowwise_adagrad_with_weight_decay_pt2_cuda_wrapper.cpp.o 2025-08-14T21:39:05.4980793Z [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 2025-08-14T21:39:05.4982728Z [226/612] 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 2025-08-14T21:39:05.4983715Z [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 2025-08-14T21:39:05.4984755Z [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 2025-08-14T21:39:06.2689823Z [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 2025-08-14T21:39:06.2691106Z [228/612] 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 2025-08-14T21:39:06.5449442Z [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 2025-08-14T21:39:06.5450961Z [229/612] 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 2025-08-14T21:39:06.9163899Z [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 2025-08-14T21:39:06.9165099Z [230/612] 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 2025-08-14T21:39:06.9204738Z [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 2025-08-14T21:39:06.9205842Z [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 2025-08-14T21:39:06.9223195Z [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 2025-08-14T21:39:06.9224292Z [232/612] 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 2025-08-14T21:39:07.0467497Z [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 2025-08-14T21:39:07.0477866Z [233/612] 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 2025-08-14T21:39:08.1823654Z [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 2025-08-14T21:39:08.1824875Z [234/612] 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 2025-08-14T21:39:08.2764688Z [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 2025-08-14T21:39:08.2765925Z [235/612] 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 2025-08-14T21:39:08.6307027Z [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 2025-08-14T21:39:08.6308245Z [236/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_unweighted_vbe_codegen_hip.hip.o 2025-08-14T21:39:08.7682558Z [236/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_split_rowwise_adagrad_with_weight_decay_cpu_hip.cpp.o 2025-08-14T21:39:08.7683846Z [237/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_weighted_vbe_gwd_codegen_hip.hip.o 2025-08-14T21:39:09.8086960Z [237/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_split_rowwise_weighted_adagrad_cpu_hip.cpp.o 2025-08-14T21:39:09.8088398Z [238/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_inference.dir/fbgemm_gpu_tbe_inference_generated_gen_embedding_forward_quantized_split_nbit_kernel_unweighted_nobag_int4_codegen_hip.hip.o 2025-08-14T21:39:10.0088781Z [238/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp.o 2025-08-14T21:39:10.0090000Z [239/612] 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 2025-08-14T21:39:10.1527175Z [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 2025-08-14T21:39:10.1528547Z [240/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_ssd_weighted_vbe_codegen_hip.hip.o 2025-08-14T21:39:10.5284252Z [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 2025-08-14T21:39:10.5294048Z [241/612] 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 2025-08-14T21:39:11.8642174Z [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 2025-08-14T21:39:11.8643820Z [242/612] 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 2025-08-14T21:39:11.8698393Z [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 2025-08-14T21:39:11.8699767Z [243/612] 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 2025-08-14T21:39:12.0846188Z [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 2025-08-14T21:39:12.0848063Z [244/612] 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 2025-08-14T21:39:12.2162939Z [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 2025-08-14T21:39:12.2172930Z [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_counter_pt2_autograd_hip.cpp.o 2025-08-14T21:39:13.1887676Z [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 2025-08-14T21:39:13.1888891Z [246/612] 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 2025-08-14T21:39:13.2296223Z [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 2025-08-14T21:39:13.2298231Z [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_with_weight_decay_pt2_autograd_hip.cpp.o 2025-08-14T21:39:13.3634878Z [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 2025-08-14T21:39:13.3635593Z [248/612] 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 2025-08-14T21:39:13.5026008Z [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 2025-08-14T21:39:13.5033710Z [249/612] 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 2025-08-14T21:39:14.0895736Z [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 2025-08-14T21:39:14.0897277Z [250/612] 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 2025-08-14T21:39:14.2718375Z [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 2025-08-14T21:39:14.2720121Z [251/612] 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 2025-08-14T21:39:14.7720085Z [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 2025-08-14T21:39:14.7720789Z [252/612] 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 2025-08-14T21:39:15.1188004Z [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 2025-08-14T21:39:15.1195328Z [253/612] Building HIPCC object 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[272/612] 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 2025-08-14T21:39:23.8008067Z ################################################################################ 2025-08-14T21:39:23.8008232Z [CMAKE] Running post-build script ... 2025-08-14T21:39:23.8008505Z Target file: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_tbe_inference.so 2025-08-14T21:39:23.8008767Z Resetting RPATH to $ORIGIN ... 2025-08-14T21:39:23.8008924Z 0x000000000000000f (RPATH) Library rpath: [$ORIGIN] 2025-08-14T21:39:23.8009095Z ################################################################################ 2025-08-14T21:39:23.8009188Z 2025-08-14T21:39:23.9798450Z [272/612] Building HIPCC object 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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 2025-08-14T21:39:29.0021912Z [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 2025-08-14T21:39:29.0022589Z /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] 2025-08-14T21:39:29.0028853Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:29.0029025Z | ^ 2025-08-14T21:39:29.0029419Z /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 2025-08-14T21:39:29.0029976Z /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 2025-08-14T21:39:29.0030299Z 123 | const auto D = 2025-08-14T21:39:29.0030417Z | ^ 2025-08-14T21:39:29.0030812Z /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] 2025-08-14T21:39:29.0031557Z 351 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:29.0031699Z | ^~~~~ 2025-08-14T21:39:29.0032091Z /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 2025-08-14T21:39:29.0032666Z /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 2025-08-14T21:39:29.0032996Z 339 | int64_t T = D_offsets.numel() - 1; 2025-08-14T21:39:29.0033131Z | ^ 2025-08-14T21:39:29.0033257Z 2 warnings generated when compiling for gfx90a. 2025-08-14T21:39:29.0033681Z /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] 2025-08-14T21:39:29.0034182Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:29.0036209Z | ^ 2025-08-14T21:39:29.0036746Z /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 2025-08-14T21:39:29.0037288Z /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 2025-08-14T21:39:29.0037600Z 123 | const auto D = 2025-08-14T21:39:29.0037711Z | ^ 2025-08-14T21:39:29.0038089Z /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] 2025-08-14T21:39:29.0038497Z 351 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:29.0038634Z | ^~~~~ 2025-08-14T21:39:29.0039181Z /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 2025-08-14T21:39:29.0039891Z /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 2025-08-14T21:39:29.0040210Z 339 | int64_t T = D_offsets.numel() - 1; 2025-08-14T21:39:29.0041692Z | ^ 2025-08-14T21:39:29.0041821Z 2 warnings generated when compiling for gfx942. 2025-08-14T21:39:29.0042234Z /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] 2025-08-14T21:39:29.0042652Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:29.0042803Z | ^ 2025-08-14T21:39:29.0043164Z /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 2025-08-14T21:39:29.0043704Z /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 2025-08-14T21:39:29.0044013Z 123 | const auto D = 2025-08-14T21:39:29.0044122Z | ^ 2025-08-14T21:39:29.0044499Z /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] 2025-08-14T21:39:29.0044904Z 351 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:29.0046298Z | ^~~~~ 2025-08-14T21:39:29.0046774Z /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 2025-08-14T21:39:29.0047346Z /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 2025-08-14T21:39:29.0047666Z 339 | int64_t T = D_offsets.numel() - 1; 2025-08-14T21:39:29.0047790Z | ^ 2025-08-14T21:39:29.0047906Z 2 warnings generated when compiling for host. 2025-08-14T21:39:29.0048004Z 2025-08-14T21:39:29.2453943Z [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 2025-08-14T21:39:29.2454671Z [285/612] 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 2025-08-14T21:39:29.4945593Z [285/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_adam_split_unweighted_nobag_kernel_cta.hip.o 2025-08-14T21:39:29.4946903Z [286/612] 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 2025-08-14T21:39:29.5666804Z [286/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_adam_split_unweighted_nobag_kernel_warp.hip.o 2025-08-14T21:39:29.5668087Z [287/612] 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 2025-08-14T21:39:29.8049517Z [287/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_adam_split_unweighted_kernel_cta.hip.o 2025-08-14T21:39:29.8051273Z [288/612] 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 2025-08-14T21:39:29.8067958Z [288/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_adam_split_unweighted_kernel_warp.hip.o 2025-08-14T21:39:29.8069090Z [289/612] 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 2025-08-14T21:39:30.0761271Z [289/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_lamb_split_weighted_hip.hip.o 2025-08-14T21:39:30.0769711Z [290/612] 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 2025-08-14T21:39:30.0770856Z [290/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_lamb_split_weighted_kernel_cta.hip.o 2025-08-14T21:39:30.0771836Z [291/612] 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 2025-08-14T21:39:30.2074460Z [291/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_lamb_split_weighted_kernel_warp.hip.o 2025-08-14T21:39:30.2075651Z [292/612] 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 2025-08-14T21:39:30.4338590Z [292/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_lamb_split_unweighted_nobag_hip.hip.o 2025-08-14T21:39:30.4339877Z [293/612] 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 2025-08-14T21:39:30.6713769Z [293/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_lamb_split_unweighted_hip.hip.o 2025-08-14T21:39:30.6714789Z [294/612] 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 2025-08-14T21:39:31.0935421Z [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 2025-08-14T21:39:31.0936948Z [295/612] 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 2025-08-14T21:39:31.0950871Z [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 2025-08-14T21:39:31.0951581Z [296/612] 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 2025-08-14T21:39:31.0990289Z [296/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_lamb_split_unweighted_kernel_cta.hip.o 2025-08-14T21:39:31.0990948Z [297/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_split_approx_rowwise_adagrad_cpu_hip.cpp.o 2025-08-14T21:39:31.9469208Z [297/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_lamb_split_unweighted_kernel_warp.hip.o 2025-08-14T21:39:31.9469906Z [298/612] 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 2025-08-14T21:39:31.9591521Z [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 2025-08-14T21:39:31.9592683Z [299/612] 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 2025-08-14T21:39:31.9625463Z [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 2025-08-14T21:39:31.9626641Z [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_weight_decay_cpu_hip.cpp.o 2025-08-14T21:39:32.0560429Z [300/612] 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_weighted_adagrad_cpu_hip.cpp.o 2025-08-14T21:39:33.8404695Z [305/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_lars_sgd_split_unweighted_kernel_cta.hip.o 2025-08-14T21:39:33.8405411Z [306/612] 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 2025-08-14T21:39:33.8416754Z [306/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_partial_rowwise_adam_split_unweighted_nobag_kernel_cta.hip.o 2025-08-14T21:39:33.8417952Z [307/612] 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 2025-08-14T21:39:35.4433537Z [307/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_lars_sgd_split_unweighted_kernel_warp.hip.o 2025-08-14T21:39:35.4434805Z [308/612] 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 2025-08-14T21:39:35.4435876Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:35.4444314Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4444608Z | ^ 2025-08-14T21:39:35.4445262Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:35.4446225Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:35.4446886Z 125 | const auto D = 2025-08-14T21:39:35.4447059Z | ^ 2025-08-14T21:39:35.4447703Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:370:31: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:35.4448737Z 370 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:35.4448954Z | ^~~~~ 2025-08-14T21:39:35.4449584Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:370:31: note: read of non-const variable 'T' is not allowed in a constant expression 2025-08-14T21:39:35.4450570Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:358:11: note: declared here 2025-08-14T21:39:35.4451129Z 358 | int64_t T = weights_offsets.size(0); 2025-08-14T21:39:35.4451350Z | ^ 2025-08-14T21:39:35.4451985Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:472:31: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:35.4452676Z 472 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:35.4453056Z | ^~~~~ 2025-08-14T21:39:35.4453729Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:472:31: note: read of non-const variable 'T' is not allowed in a constant expression 2025-08-14T21:39:35.4454720Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:458:11: note: declared here 2025-08-14T21:39:35.4455288Z 458 | int64_t T = D_offsets.numel() - 1; 2025-08-14T21:39:35.4455510Z | ^ 2025-08-14T21:39:35.4456161Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:35.4457036Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4457284Z | ^ 2025-08-14T21:39:35.4458416Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:35.4459449Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:35.4459756Z | ^ 2025-08-14T21:39:35.4460343Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:35.4460957Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4461179Z | ^ 2025-08-14T21:39:35.4461710Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:35.4462240Z 125 | const auto D = 2025-08-14T21:39:35.4462421Z | ^ 2025-08-14T21:39:35.4463080Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:35.4463798Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4464042Z | ^ 2025-08-14T21:39:35.4464967Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:35.4466043Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:35.4466352Z | ^ 2025-08-14T21:39:35.4467093Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:35.4467742Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4467986Z | ^ 2025-08-14T21:39:35.4468530Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:35.4469072Z 125 | const auto D = 2025-08-14T21:39:35.4469254Z | ^ 2025-08-14T21:39:35.4469918Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:35.4470713Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4470954Z | ^ 2025-08-14T21:39:35.4471874Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:35.4472876Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:35.4473178Z | ^ 2025-08-14T21:39:35.4473759Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:35.4474411Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4474656Z | ^ 2025-08-14T21:39:35.4475203Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:35.4475819Z 125 | const auto D = 2025-08-14T21:39:35.4475995Z | ^ 2025-08-14T21:39:35.4476699Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:35.4477404Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4477653Z | ^ 2025-08-14T21:39:35.4478532Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:35.4479678Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:35.4479958Z | ^ 2025-08-14T21:39:35.4480502Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:35.4481101Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4481325Z | ^ 2025-08-14T21:39:35.4481841Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:35.4482360Z 125 | const auto D = 2025-08-14T21:39:35.4482662Z | ^ 2025-08-14T21:39:35.4483290Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:35.4483993Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4484244Z | ^ 2025-08-14T21:39:35.4485124Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:35.4486098Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:35.4486389Z | ^ 2025-08-14T21:39:35.4487133Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:35.4487888Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4488133Z | ^ 2025-08-14T21:39:35.4488669Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:35.4493038Z 125 | const auto D = 2025-08-14T21:39:35.4493252Z | ^ 2025-08-14T21:39:35.4493928Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:35.4494633Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4494873Z | ^ 2025-08-14T21:39:35.4495796Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:35.4497133Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:35.4497433Z | ^ 2025-08-14T21:39:35.4498010Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:35.4498650Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4498886Z | ^ 2025-08-14T21:39:35.4502005Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:35.4502575Z 125 | const auto D = 2025-08-14T21:39:35.4502756Z | ^ 2025-08-14T21:39:35.4503421Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:35.4504135Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4504372Z | ^ 2025-08-14T21:39:35.4505289Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:35.4506287Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:35.4506827Z | ^ 2025-08-14T21:39:35.4507362Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:35.4507994Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4510639Z | ^ 2025-08-14T21:39:35.4511172Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:35.4511690Z 125 | const auto D = 2025-08-14T21:39:35.4511854Z | ^ 2025-08-14T21:39:35.4512462Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:35.4513159Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4513372Z | ^ 2025-08-14T21:39:35.4514381Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:35.4515368Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:35.4515662Z | ^ 2025-08-14T21:39:35.4516204Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:35.4519450Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4519887Z | ^ 2025-08-14T21:39:35.4520412Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:35.4520926Z 125 | const auto D = 2025-08-14T21:39:35.4521098Z | ^ 2025-08-14T21:39:35.4521451Z 11 warnings generated when compiling for gfx90a. 2025-08-14T21:39:35.4522140Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:35.4522793Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4523011Z | ^ 2025-08-14T21:39:35.4523603Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:35.4524486Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:35.4527821Z 125 | const auto D = 2025-08-14T21:39:35.4528000Z | ^ 2025-08-14T21:39:35.4528646Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:370:31: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:35.4529328Z 370 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:35.4529551Z | ^~~~~ 2025-08-14T21:39:35.4530199Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:370:31: note: read of non-const variable 'T' is not allowed in a constant expression 2025-08-14T21:39:35.4531193Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:358:11: note: declared here 2025-08-14T21:39:35.4531867Z 358 | int64_t T = weights_offsets.size(0); 2025-08-14T21:39:35.4532078Z | ^ 2025-08-14T21:39:35.4532717Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:472:31: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:35.4533412Z 472 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:35.4536216Z | ^~~~~ 2025-08-14T21:39:35.4537022Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:472:31: note: read of non-const variable 'T' is not allowed in a constant expression 2025-08-14T21:39:35.4538042Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:458:11: note: declared here 2025-08-14T21:39:35.4538611Z 458 | int64_t T = D_offsets.numel() - 1; 2025-08-14T21:39:35.4538941Z | ^ 2025-08-14T21:39:35.4539584Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:35.4540276Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4540515Z | ^ 2025-08-14T21:39:35.4541409Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:35.4542365Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:35.4545227Z | ^ 2025-08-14T21:39:35.4545825Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:35.4546952Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4547206Z | ^ 2025-08-14T21:39:35.4547731Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:35.4548272Z 125 | const auto D = 2025-08-14T21:39:35.4548453Z | ^ 2025-08-14T21:39:35.4549103Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:35.4549797Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4550030Z | ^ 2025-08-14T21:39:35.4550923Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:35.4554554Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:35.4554873Z | ^ 2025-08-14T21:39:35.4555429Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:35.4556059Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4556300Z | ^ 2025-08-14T21:39:35.4557145Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:35.4557671Z 125 | const auto D = 2025-08-14T21:39:35.4557849Z | ^ 2025-08-14T21:39:35.4558523Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:35.4559229Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4559464Z | ^ 2025-08-14T21:39:35.4563274Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:35.4564318Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:35.4564789Z | ^ 2025-08-14T21:39:35.4565377Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:35.4566042Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4566285Z | ^ 2025-08-14T21:39:35.4566976Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:35.4567527Z 125 | const auto D = 2025-08-14T21:39:35.4567706Z | ^ 2025-08-14T21:39:35.4568362Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:35.4569094Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4571888Z | ^ 2025-08-14T21:39:35.4573034Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:35.4574069Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:35.4574373Z | ^ 2025-08-14T21:39:35.4574941Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:35.4575597Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4575844Z | ^ 2025-08-14T21:39:35.4576393Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:35.4577087Z 125 | const auto D = 2025-08-14T21:39:35.4577268Z | ^ 2025-08-14T21:39:35.4577940Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:35.4581164Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4581412Z | ^ 2025-08-14T21:39:35.4582248Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:35.4583337Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:35.4583619Z | ^ 2025-08-14T21:39:35.4584147Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:35.4584763Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4584991Z | ^ 2025-08-14T21:39:35.4585507Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:35.4586031Z 125 | const auto D = 2025-08-14T21:39:35.4586215Z | ^ 2025-08-14T21:39:35.4587216Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:35.4590905Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4591167Z | ^ 2025-08-14T21:39:35.4592100Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:35.4593081Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:35.4593374Z | ^ 2025-08-14T21:39:35.4593937Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:35.4594590Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4594831Z | ^ 2025-08-14T21:39:35.4595541Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:35.4596071Z 125 | const auto D = 2025-08-14T21:39:35.4596249Z | ^ 2025-08-14T21:39:35.4599821Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:35.4600554Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4600787Z | ^ 2025-08-14T21:39:35.4601685Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:35.4602655Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:35.4602952Z | ^ 2025-08-14T21:39:35.4603523Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:35.4604178Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4604420Z | ^ 2025-08-14T21:39:35.4604949Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:35.4608403Z 125 | const auto D = 2025-08-14T21:39:35.4608631Z | ^ 2025-08-14T21:39:35.4609290Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:35.4609998Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4610231Z | ^ 2025-08-14T21:39:35.4611151Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:35.4612150Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:35.4612443Z | ^ 2025-08-14T21:39:35.4613168Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:35.4613806Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4614044Z | ^ 2025-08-14T21:39:35.4617356Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:35.4617934Z 125 | const auto D = 2025-08-14T21:39:35.4618116Z | ^ 2025-08-14T21:39:35.4618324Z 11 warnings generated when compiling for gfx942. 2025-08-14T21:39:35.4619028Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:35.4619743Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4619981Z | ^ 2025-08-14T21:39:35.4620845Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:35.4621764Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:35.4622296Z 125 | const auto D = 2025-08-14T21:39:35.4622476Z | ^ 2025-08-14T21:39:35.4625777Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:370:31: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:35.4626682Z 370 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:35.4626912Z | ^~~~~ 2025-08-14T21:39:35.4627598Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:370:31: note: read of non-const variable 'T' is not allowed in a constant expression 2025-08-14T21:39:35.4628603Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:358:11: note: declared here 2025-08-14T21:39:35.4629166Z 358 | int64_t T = weights_offsets.size(0); 2025-08-14T21:39:35.4629380Z | ^ 2025-08-14T21:39:35.4630036Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:472:31: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:35.4630726Z 472 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:35.4631071Z | ^~~~~ 2025-08-14T21:39:35.4631754Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:472:31: note: read of non-const variable 'T' is not allowed in a constant expression 2025-08-14T21:39:35.4635241Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:458:11: note: declared here 2025-08-14T21:39:35.4635755Z 458 | int64_t T = D_offsets.numel() - 1; 2025-08-14T21:39:35.4635963Z | ^ 2025-08-14T21:39:35.4636729Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:35.4637424Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4637659Z | ^ 2025-08-14T21:39:35.4638525Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:35.4639727Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:35.4640019Z | ^ 2025-08-14T21:39:35.4640569Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:35.4641231Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4644132Z | ^ 2025-08-14T21:39:35.4644703Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:35.4645258Z 125 | const auto D = 2025-08-14T21:39:35.4645426Z | ^ 2025-08-14T21:39:35.4646192Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:35.4647115Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4647349Z | ^ 2025-08-14T21:39:35.4648200Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:35.4649142Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:35.4649445Z | ^ 2025-08-14T21:39:35.4652466Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:35.4653150Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4653394Z | ^ 2025-08-14T21:39:35.4653956Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:35.4654506Z 125 | const auto D = 2025-08-14T21:39:35.4654686Z | ^ 2025-08-14T21:39:35.4655350Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:35.4656181Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4656548Z | ^ 2025-08-14T21:39:35.4657482Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:35.4658492Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:35.4660976Z | ^ 2025-08-14T21:39:35.4661575Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:35.4662233Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4662480Z | ^ 2025-08-14T21:39:35.4663017Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:35.4663621Z 125 | const auto D = 2025-08-14T21:39:35.4663794Z | ^ 2025-08-14T21:39:35.4664446Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:35.4665171Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4665415Z | ^ 2025-08-14T21:39:35.4666366Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:35.4669837Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:35.4670131Z | ^ 2025-08-14T21:39:35.4670840Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:35.4671487Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4671726Z | ^ 2025-08-14T21:39:35.4672268Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:35.4672805Z 125 | const auto D = 2025-08-14T21:39:35.4672984Z | ^ 2025-08-14T21:39:35.4673640Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:35.4674348Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4674588Z | ^ 2025-08-14T21:39:35.4677958Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:35.4678975Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:35.4679278Z | ^ 2025-08-14T21:39:35.4680042Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:35.4680781Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4681023Z | ^ 2025-08-14T21:39:35.4681554Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:35.4682097Z 125 | const auto D = 2025-08-14T21:39:35.4682274Z | ^ 2025-08-14T21:39:35.4682947Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:35.4683675Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4686376Z | ^ 2025-08-14T21:39:35.4687448Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:35.4688571Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:35.4688869Z | ^ 2025-08-14T21:39:35.4689456Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:35.4690108Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4690349Z | ^ 2025-08-14T21:39:35.4690883Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:35.4691420Z 125 | const auto D = 2025-08-14T21:39:35.4691600Z | ^ 2025-08-14T21:39:35.4692256Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:35.4695358Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4695593Z | ^ 2025-08-14T21:39:35.4696605Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:35.4697606Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:35.4697900Z | ^ 2025-08-14T21:39:35.4698472Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:35.4699124Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4699362Z | ^ 2025-08-14T21:39:35.4699909Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:35.4700447Z 125 | const auto D = 2025-08-14T21:39:35.4702901Z | ^ 2025-08-14T21:39:35.4703568Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:35.4704283Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4704522Z | ^ 2025-08-14T21:39:35.4705552Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:506:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:35.4706639Z 506 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:35.4706934Z | ^ 2025-08-14T21:39:35.4707497Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:136:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:35.4708127Z 136 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:35.4708368Z | ^ 2025-08-14T21:39:35.4708903Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:35.4712041Z 125 | const auto D = 2025-08-14T21:39:35.4712252Z | ^ 2025-08-14T21:39:35.4712461Z 11 warnings generated when compiling for host. 2025-08-14T21:39:35.4712635Z 2025-08-14T21:39:35.7793229Z [308/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_partial_rowwise_adam_split_weighted_hip.hip.o 2025-08-14T21:39:35.7793909Z [309/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_weighted_kernel.hip.o 2025-08-14T21:39:36.7079900Z [309/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_partial_rowwise_adam_split_weighted_kernel_cta.hip.o 2025-08-14T21:39:36.7081705Z [310/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp.o 2025-08-14T21:39:36.7083200Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7084175Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7084433Z | ^~~~~~~~~~~ 2025-08-14T21:39:36.7085079Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7085796Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7086071Z | ^ 2025-08-14T21:39:36.7086810Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7087373Z 125 | const auto D = 2025-08-14T21:39:36.7087559Z | ^ 2025-08-14T21:39:36.7088223Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7088990Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7089230Z | ^ 2025-08-14T21:39:36.7089852Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7090795Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7091592Z 125 | const auto D = 2025-08-14T21:39:36.7091779Z | ^ 2025-08-14T21:39:36.7092460Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:487:31: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7093173Z 487 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:36.7093395Z | ^~~~~ 2025-08-14T21:39:36.7094061Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:487:31: note: read of non-const variable 'T' is not allowed in a constant expression 2025-08-14T21:39:36.7104187Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:475:11: note: declared here 2025-08-14T21:39:36.7104766Z 475 | int64_t T = weights_offsets.size(0); 2025-08-14T21:39:36.7105212Z | ^ 2025-08-14T21:39:36.7105852Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:589:31: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7106717Z 589 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:36.7106940Z | ^~~~~ 2025-08-14T21:39:36.7107587Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:589:31: note: read of non-const variable 'T' is not allowed in a constant expression 2025-08-14T21:39:36.7108566Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:575:11: note: declared here 2025-08-14T21:39:36.7109123Z 575 | int64_t T = D_offsets.numel() - 1; 2025-08-14T21:39:36.7109336Z | ^ 2025-08-14T21:39:36.7109950Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7110853Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7111095Z | ^~~~~~~~~~~ 2025-08-14T21:39:36.7111708Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:36.7112426Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:36.7112739Z | ^ 2025-08-14T21:39:36.7113615Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7114551Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7114844Z | ^ 2025-08-14T21:39:36.7115414Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7116057Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7116294Z | ^ 2025-08-14T21:39:36.7116979Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7117656Z 125 | const auto D = 2025-08-14T21:39:36.7117833Z | ^ 2025-08-14T21:39:36.7118466Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7119176Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7119406Z | ^ 2025-08-14T21:39:36.7120511Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7121421Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7121712Z | ^ 2025-08-14T21:39:36.7122351Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7122981Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7123213Z | ^ 2025-08-14T21:39:36.7123748Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7124272Z 125 | const auto D = 2025-08-14T21:39:36.7124440Z | ^ 2025-08-14T21:39:36.7125061Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7125738Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7125979Z | ^~~~~~~~~~~ 2025-08-14T21:39:36.7126835Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:36.7127508Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:36.7127820Z | ^ 2025-08-14T21:39:36.7128663Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7129607Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7129891Z | ^ 2025-08-14T21:39:36.7130448Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7131070Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7131305Z | ^ 2025-08-14T21:39:36.7131839Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7132354Z 125 | const auto D = 2025-08-14T21:39:36.7132526Z | ^ 2025-08-14T21:39:36.7133146Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7133981Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7134217Z | ^ 2025-08-14T21:39:36.7135094Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7136033Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7136314Z | ^ 2025-08-14T21:39:36.7137007Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7137633Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7137864Z | ^ 2025-08-14T21:39:36.7138489Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7139013Z 125 | const auto D = 2025-08-14T21:39:36.7139189Z | ^ 2025-08-14T21:39:36.7139811Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7140500Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7140736Z | ^~~~~~~~~~~ 2025-08-14T21:39:36.7141329Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:36.7142032Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:36.7142346Z | ^ 2025-08-14T21:39:36.7143384Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7144341Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7144617Z | ^ 2025-08-14T21:39:36.7145154Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7145763Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7146000Z | ^ 2025-08-14T21:39:36.7146711Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7147237Z 125 | const auto D = 2025-08-14T21:39:36.7147411Z | ^ 2025-08-14T21:39:36.7148042Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7148731Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7148959Z | ^ 2025-08-14T21:39:36.7149822Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7150916Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7151203Z | ^ 2025-08-14T21:39:36.7151748Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7158159Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7158423Z | ^ 2025-08-14T21:39:36.7158964Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7159491Z 125 | const auto D = 2025-08-14T21:39:36.7159781Z | ^ 2025-08-14T21:39:36.7160572Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7161259Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7161485Z | ^~~~~~~~~~~ 2025-08-14T21:39:36.7162087Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:36.7162778Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:36.7163082Z | ^ 2025-08-14T21:39:36.7169971Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7171141Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7171423Z | ^ 2025-08-14T21:39:36.7171957Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7172559Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7172783Z | ^ 2025-08-14T21:39:36.7173429Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7173948Z 125 | const auto D = 2025-08-14T21:39:36.7174115Z | ^ 2025-08-14T21:39:36.7174740Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7178769Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7179012Z | ^ 2025-08-14T21:39:36.7179879Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7180956Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7181228Z | ^ 2025-08-14T21:39:36.7181765Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7182381Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7182603Z | ^ 2025-08-14T21:39:36.7183115Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7183617Z 125 | const auto D = 2025-08-14T21:39:36.7183776Z | ^ 2025-08-14T21:39:36.7187298Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7187975Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7188307Z | ^~~~~~~~~~~ 2025-08-14T21:39:36.7188885Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:36.7189558Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:36.7189856Z | ^ 2025-08-14T21:39:36.7190729Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7191652Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7191922Z | ^ 2025-08-14T21:39:36.7192546Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7193148Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7195862Z | ^ 2025-08-14T21:39:36.7196398Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7197046Z 125 | const auto D = 2025-08-14T21:39:36.7197209Z | ^ 2025-08-14T21:39:36.7197835Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7198535Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7198758Z | ^ 2025-08-14T21:39:36.7199688Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7200608Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7200879Z | ^ 2025-08-14T21:39:36.7204034Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7204848Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7205082Z | ^ 2025-08-14T21:39:36.7205613Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7206138Z 125 | const auto D = 2025-08-14T21:39:36.7206300Z | ^ 2025-08-14T21:39:36.7207058Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7207719Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7207941Z | ^~~~~~~~~~~ 2025-08-14T21:39:36.7208530Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:36.7209329Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:36.7212247Z | ^ 2025-08-14T21:39:36.7213186Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7214150Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7214430Z | ^ 2025-08-14T21:39:36.7214975Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7215588Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7215815Z | ^ 2025-08-14T21:39:36.7216670Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7217216Z 125 | const auto D = 2025-08-14T21:39:36.7217383Z | ^ 2025-08-14T21:39:36.7217997Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7221298Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7221547Z | ^ 2025-08-14T21:39:36.7222435Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7223383Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7223659Z | ^ 2025-08-14T21:39:36.7224208Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7224824Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7225049Z | ^ 2025-08-14T21:39:36.7225577Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7226213Z 125 | const auto D = 2025-08-14T21:39:36.7226379Z | ^ 2025-08-14T21:39:36.7229714Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7230408Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7230636Z | ^~~~~~~~~~~ 2025-08-14T21:39:36.7231222Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:36.7231917Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:36.7232215Z | ^ 2025-08-14T21:39:36.7233089Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7234129Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7234397Z | ^ 2025-08-14T21:39:36.7234940Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7235537Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7238495Z | ^ 2025-08-14T21:39:36.7239045Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7239680Z 125 | const auto D = 2025-08-14T21:39:36.7239850Z | ^ 2025-08-14T21:39:36.7240665Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7241365Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7241588Z | ^ 2025-08-14T21:39:36.7242418Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7243345Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7243617Z | ^ 2025-08-14T21:39:36.7246843Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7247509Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7247737Z | ^ 2025-08-14T21:39:36.7248255Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7248755Z 125 | const auto D = 2025-08-14T21:39:36.7248918Z | ^ 2025-08-14T21:39:36.7249540Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7250340Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7250557Z | ^~~~~~~~~~~ 2025-08-14T21:39:36.7251153Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:36.7251842Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:36.7254635Z | ^ 2025-08-14T21:39:36.7255535Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7256617Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7256993Z | ^ 2025-08-14T21:39:36.7257542Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7258147Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7258370Z | ^ 2025-08-14T21:39:36.7258888Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7259398Z 125 | const auto D = 2025-08-14T21:39:36.7259563Z | ^ 2025-08-14T21:39:36.7260187Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7263319Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7263576Z | ^ 2025-08-14T21:39:36.7264592Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7265537Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7265805Z | ^ 2025-08-14T21:39:36.7266343Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7267099Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7267314Z | ^ 2025-08-14T21:39:36.7267835Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7268339Z 125 | const auto D = 2025-08-14T21:39:36.7268497Z | ^ 2025-08-14T21:39:36.7271129Z 20 warnings generated when compiling for gfx90a. 2025-08-14T21:39:36.7271806Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7272491Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7272717Z | ^~~~~~~~~~~ 2025-08-14T21:39:36.7273434Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7274052Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7274267Z | ^ 2025-08-14T21:39:36.7274764Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7275281Z 125 | const auto D = 2025-08-14T21:39:36.7275438Z | ^ 2025-08-14T21:39:36.7276056Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7279400Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7279759Z | ^ 2025-08-14T21:39:36.7280458Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7281345Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7281858Z 125 | const auto D = 2025-08-14T21:39:36.7282023Z | ^ 2025-08-14T21:39:36.7282635Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:487:31: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7283289Z 487 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:36.7283504Z | ^~~~~ 2025-08-14T21:39:36.7284132Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:487:31: note: read of non-const variable 'T' is not allowed in a constant expression 2025-08-14T21:39:36.7285185Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:475:11: note: declared here 2025-08-14T21:39:36.7288479Z 475 | int64_t T = weights_offsets.size(0); 2025-08-14T21:39:36.7288687Z | ^ 2025-08-14T21:39:36.7289308Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:589:31: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7289986Z 589 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:36.7290196Z | ^~~~~ 2025-08-14T21:39:36.7290837Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:589:31: note: read of non-const variable 'T' is not allowed in a constant expression 2025-08-14T21:39:36.7291826Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:575:11: note: declared here 2025-08-14T21:39:36.7292347Z 575 | int64_t T = D_offsets.numel() - 1; 2025-08-14T21:39:36.7292544Z | ^ 2025-08-14T21:39:36.7293163Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7296044Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7296291Z | ^~~~~~~~~~~ 2025-08-14T21:39:36.7297167Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:36.7297860Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:36.7298171Z | ^ 2025-08-14T21:39:36.7299051Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7299971Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7300246Z | ^ 2025-08-14T21:39:36.7300780Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7301431Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7301652Z | ^ 2025-08-14T21:39:36.7304458Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7304993Z 125 | const auto D = 2025-08-14T21:39:36.7305156Z | ^ 2025-08-14T21:39:36.7305768Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7306580Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7306798Z | ^ 2025-08-14T21:39:36.7307639Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7308688Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7308962Z | ^ 2025-08-14T21:39:36.7309505Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7310100Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7312830Z | ^ 2025-08-14T21:39:36.7313386Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7313916Z 125 | const auto D = 2025-08-14T21:39:36.7314078Z | ^ 2025-08-14T21:39:36.7314699Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7315360Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7315583Z | ^~~~~~~~~~~ 2025-08-14T21:39:36.7316162Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:36.7316965Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:36.7317375Z | ^ 2025-08-14T21:39:36.7318234Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7321719Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7322000Z | ^ 2025-08-14T21:39:36.7322548Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7323145Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7323371Z | ^ 2025-08-14T21:39:36.7323887Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7324510Z 125 | const auto D = 2025-08-14T21:39:36.7324676Z | ^ 2025-08-14T21:39:36.7325284Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7325955Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7326175Z | ^ 2025-08-14T21:39:36.7329672Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7330628Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7330900Z | ^ 2025-08-14T21:39:36.7331607Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7332225Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7332449Z | ^ 2025-08-14T21:39:36.7332977Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7333500Z 125 | const auto D = 2025-08-14T21:39:36.7333664Z | ^ 2025-08-14T21:39:36.7334276Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7337641Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7337909Z | ^~~~~~~~~~~ 2025-08-14T21:39:36.7338514Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:36.7339182Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:36.7339477Z | ^ 2025-08-14T21:39:36.7340335Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7341401Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7341671Z | ^ 2025-08-14T21:39:36.7342211Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7342810Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7343020Z | ^ 2025-08-14T21:39:36.7343530Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7346664Z 125 | const auto D = 2025-08-14T21:39:36.7346840Z | ^ 2025-08-14T21:39:36.7347450Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7348238Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7348460Z | ^ 2025-08-14T21:39:36.7349325Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7350264Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7350524Z | ^ 2025-08-14T21:39:36.7351064Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7351660Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7351877Z | ^ 2025-08-14T21:39:36.7354722Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7355241Z 125 | const auto D = 2025-08-14T21:39:36.7355407Z | ^ 2025-08-14T21:39:36.7356022Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7356769Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7356991Z | ^~~~~~~~~~~ 2025-08-14T21:39:36.7357556Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:36.7358212Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:36.7358511Z | ^ 2025-08-14T21:39:36.7359347Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7362698Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7363000Z | ^ 2025-08-14T21:39:36.7363547Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7364261Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7364482Z | ^ 2025-08-14T21:39:36.7365000Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7365509Z 125 | const auto D = 2025-08-14T21:39:36.7365669Z | ^ 2025-08-14T21:39:36.7366259Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7367043Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7367258Z | ^ 2025-08-14T21:39:36.7370356Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7371423Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7371693Z | ^ 2025-08-14T21:39:36.7372220Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7372812Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7373030Z | ^ 2025-08-14T21:39:36.7373543Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7374056Z 125 | const auto D = 2025-08-14T21:39:36.7374218Z | ^ 2025-08-14T21:39:36.7374935Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7375614Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7378261Z | ^~~~~~~~~~~ 2025-08-14T21:39:36.7378889Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:36.7379569Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:36.7379864Z | ^ 2025-08-14T21:39:36.7380732Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7381647Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7381913Z | ^ 2025-08-14T21:39:36.7382460Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7383059Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7383273Z | ^ 2025-08-14T21:39:36.7383895Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7386939Z 125 | const auto D = 2025-08-14T21:39:36.7387121Z | ^ 2025-08-14T21:39:36.7387762Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7388449Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7388671Z | ^ 2025-08-14T21:39:36.7389526Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7390429Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7390799Z | ^ 2025-08-14T21:39:36.7391320Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7391902Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7392114Z | ^ 2025-08-14T21:39:36.7395038Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7395543Z 125 | const auto D = 2025-08-14T21:39:36.7395705Z | ^ 2025-08-14T21:39:36.7396325Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7397143Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7397363Z | ^~~~~~~~~~~ 2025-08-14T21:39:36.7398094Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:36.7398756Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:36.7399045Z | ^ 2025-08-14T21:39:36.7400001Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7403399Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7403711Z | ^ 2025-08-14T21:39:36.7404254Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7404839Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7405057Z | ^ 2025-08-14T21:39:36.7405574Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7406076Z 125 | const auto D = 2025-08-14T21:39:36.7406241Z | ^ 2025-08-14T21:39:36.7407090Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7407762Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7407982Z | ^ 2025-08-14T21:39:36.7411718Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7412695Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7412965Z | ^ 2025-08-14T21:39:36.7413500Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7414297Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7414533Z | ^ 2025-08-14T21:39:36.7415055Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7415548Z 125 | const auto D = 2025-08-14T21:39:36.7415706Z | ^ 2025-08-14T21:39:36.7416300Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7417079Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7419775Z | ^~~~~~~~~~~ 2025-08-14T21:39:36.7420398Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:36.7421068Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:36.7421531Z | ^ 2025-08-14T21:39:36.7422369Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7423277Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7423541Z | ^ 2025-08-14T21:39:36.7424085Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7424692Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7424915Z | ^ 2025-08-14T21:39:36.7425424Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7428655Z 125 | const auto D = 2025-08-14T21:39:36.7428830Z | ^ 2025-08-14T21:39:36.7429456Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7430129Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7430469Z | ^ 2025-08-14T21:39:36.7431311Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7432231Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7432509Z | ^ 2025-08-14T21:39:36.7433050Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7433648Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7433852Z | ^ 2025-08-14T21:39:36.7436900Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7437541Z 125 | const auto D = 2025-08-14T21:39:36.7437708Z | ^ 2025-08-14T21:39:36.7438326Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7439005Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7439228Z | ^~~~~~~~~~~ 2025-08-14T21:39:36.7439924Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:36.7440612Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:36.7440915Z | ^ 2025-08-14T21:39:36.7441897Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7442823Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7445443Z | ^ 2025-08-14T21:39:36.7445983Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7446710Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7446933Z | ^ 2025-08-14T21:39:36.7447450Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7447959Z 125 | const auto D = 2025-08-14T21:39:36.7448120Z | ^ 2025-08-14T21:39:36.7448738Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7449420Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7449641Z | ^ 2025-08-14T21:39:36.7452642Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7453718Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7453994Z | ^ 2025-08-14T21:39:36.7454543Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7455142Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7455360Z | ^ 2025-08-14T21:39:36.7455866Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7456368Z 125 | const auto D = 2025-08-14T21:39:36.7456649Z | ^ 2025-08-14T21:39:36.7456835Z 20 warnings generated when compiling for gfx942. 2025-08-14T21:39:36.7457495Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7460583Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7460847Z | ^~~~~~~~~~~ 2025-08-14T21:39:36.7461444Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7462035Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7462251Z | ^ 2025-08-14T21:39:36.7462760Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7463249Z 125 | const auto D = 2025-08-14T21:39:36.7463409Z | ^ 2025-08-14T21:39:36.7464014Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7464829Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7465050Z | ^ 2025-08-14T21:39:36.7468122Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7469060Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7469583Z 125 | const auto D = 2025-08-14T21:39:36.7469748Z | ^ 2025-08-14T21:39:36.7470352Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:487:31: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7471027Z 487 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:36.7471234Z | ^~~~~ 2025-08-14T21:39:36.7471878Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:487:31: note: read of non-const variable 'T' is not allowed in a constant expression 2025-08-14T21:39:36.7472832Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:475:11: note: declared here 2025-08-14T21:39:36.7473351Z 475 | int64_t T = weights_offsets.size(0); 2025-08-14T21:39:36.7473664Z | ^ 2025-08-14T21:39:36.7476771Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:589:31: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7477465Z 589 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:36.7477676Z | ^~~~~ 2025-08-14T21:39:36.7478307Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:589:31: note: read of non-const variable 'T' is not allowed in a constant expression 2025-08-14T21:39:36.7479253Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:575:11: note: declared here 2025-08-14T21:39:36.7479946Z 575 | int64_t T = D_offsets.numel() - 1; 2025-08-14T21:39:36.7480135Z | ^ 2025-08-14T21:39:36.7480748Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7481546Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7481766Z | ^~~~~~~~~~~ 2025-08-14T21:39:36.7482347Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:36.7485462Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:36.7485770Z | ^ 2025-08-14T21:39:36.7486771Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7487715Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7487980Z | ^ 2025-08-14T21:39:36.7488641Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7489241Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7489455Z | ^ 2025-08-14T21:39:36.7489959Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7490461Z 125 | const auto D = 2025-08-14T21:39:36.7492982Z | ^ 2025-08-14T21:39:36.7493611Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7494290Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7494502Z | ^ 2025-08-14T21:39:36.7495309Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7496172Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7496571Z | ^ 2025-08-14T21:39:36.7497229Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7497804Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7498007Z | ^ 2025-08-14T21:39:36.7498509Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7501400Z 125 | const auto D = 2025-08-14T21:39:36.7501595Z | ^ 2025-08-14T21:39:36.7502221Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7502892Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7503117Z | ^~~~~~~~~~~ 2025-08-14T21:39:36.7503696Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:36.7504486Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:36.7504772Z | ^ 2025-08-14T21:39:36.7505624Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7506665Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7506943Z | ^ 2025-08-14T21:39:36.7509813Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7510445Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7510784Z | ^ 2025-08-14T21:39:36.7511290Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7511798Z 125 | const auto D = 2025-08-14T21:39:36.7511955Z | ^ 2025-08-14T21:39:36.7512539Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7513170Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7513375Z | ^ 2025-08-14T21:39:36.7514183Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7515071Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7518116Z | ^ 2025-08-14T21:39:36.7518679Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7519285Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7519502Z | ^ 2025-08-14T21:39:36.7520243Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7520758Z 125 | const auto D = 2025-08-14T21:39:36.7520917Z | ^ 2025-08-14T21:39:36.7521507Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7522148Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7522361Z | ^~~~~~~~~~~ 2025-08-14T21:39:36.7522923Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:36.7525909Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:36.7526312Z | ^ 2025-08-14T21:39:36.7527290Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7528190Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7528454Z | ^ 2025-08-14T21:39:36.7528992Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7529597Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7529813Z | ^ 2025-08-14T21:39:36.7530325Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7530818Z 125 | const auto D = 2025-08-14T21:39:36.7531108Z | ^ 2025-08-14T21:39:36.7534264Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7534935Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7535157Z | ^ 2025-08-14T21:39:36.7535994Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7537043Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7537315Z | ^ 2025-08-14T21:39:36.7537844Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7538443Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7538662Z | ^ 2025-08-14T21:39:36.7539167Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7542015Z 125 | const auto D = 2025-08-14T21:39:36.7542207Z | ^ 2025-08-14T21:39:36.7542918Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7543594Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7543822Z | ^~~~~~~~~~~ 2025-08-14T21:39:36.7544419Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:36.7545091Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:36.7545375Z | ^ 2025-08-14T21:39:36.7546267Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7547440Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7547713Z | ^ 2025-08-14T21:39:36.7550672Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7551276Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7551491Z | ^ 2025-08-14T21:39:36.7551990Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7552491Z 125 | const auto D = 2025-08-14T21:39:36.7552650Z | ^ 2025-08-14T21:39:36.7553257Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7554067Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7554285Z | ^ 2025-08-14T21:39:36.7555113Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7556052Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7558641Z | ^ 2025-08-14T21:39:36.7559170Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7559862Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7560074Z | ^ 2025-08-14T21:39:36.7560587Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7561110Z 125 | const auto D = 2025-08-14T21:39:36.7561273Z | ^ 2025-08-14T21:39:36.7561917Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7562576Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7562889Z | ^~~~~~~~~~~ 2025-08-14T21:39:36.7563467Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:36.7566618Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:36.7566931Z | ^ 2025-08-14T21:39:36.7567817Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7568709Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7568982Z | ^ 2025-08-14T21:39:36.7569518Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7570214Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7570437Z | ^ 2025-08-14T21:39:36.7570944Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7571464Z 125 | const auto D = 2025-08-14T21:39:36.7571632Z | ^ 2025-08-14T21:39:36.7574614Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7575303Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7575525Z | ^ 2025-08-14T21:39:36.7576640Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7577510Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7577778Z | ^ 2025-08-14T21:39:36.7578298Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7578882Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7579096Z | ^ 2025-08-14T21:39:36.7579584Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7582518Z 125 | const auto D = 2025-08-14T21:39:36.7582724Z | ^ 2025-08-14T21:39:36.7583346Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7583990Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7584208Z | ^~~~~~~~~~~ 2025-08-14T21:39:36.7584768Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:36.7585563Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:36.7585857Z | ^ 2025-08-14T21:39:36.7586851Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7587770Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7588035Z | ^ 2025-08-14T21:39:36.7591086Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7591715Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7591942Z | ^ 2025-08-14T21:39:36.7592565Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7593085Z 125 | const auto D = 2025-08-14T21:39:36.7593258Z | ^ 2025-08-14T21:39:36.7593872Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7594535Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7594749Z | ^ 2025-08-14T21:39:36.7595584Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7596673Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7599455Z | ^ 2025-08-14T21:39:36.7600278Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7600914Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7601138Z | ^ 2025-08-14T21:39:36.7601674Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7602200Z 125 | const auto D = 2025-08-14T21:39:36.7602369Z | ^ 2025-08-14T21:39:36.7603001Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7603676Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7603895Z | ^~~~~~~~~~~ 2025-08-14T21:39:36.7604443Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:36.7607444Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:36.7607756Z | ^ 2025-08-14T21:39:36.7608657Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7609752Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7610020Z | ^ 2025-08-14T21:39:36.7610547Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7611143Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7611369Z | ^ 2025-08-14T21:39:36.7611891Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7612410Z 125 | const auto D = 2025-08-14T21:39:36.7612574Z | ^ 2025-08-14T21:39:36.7615695Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7616373Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7616762Z | ^ 2025-08-14T21:39:36.7617614Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7618522Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7618788Z | ^ 2025-08-14T21:39:36.7619321Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7619924Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7620273Z | ^ 2025-08-14T21:39:36.7620782Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7623795Z 125 | const auto D = 2025-08-14T21:39:36.7623999Z | ^ 2025-08-14T21:39:36.7624649Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:36: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7625325Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7625553Z | ^~~~~~~~~~~ 2025-08-14T21:39:36.7626142Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:155:86: note: while substituting into a lambda expression here 2025-08-14T21:39:36.7626935Z 155 | at::parallel_for(0, num_non_zero_columns, C_BLOCK, [&](int64_t c0, int64_t c1) { 2025-08-14T21:39:36.7627241Z | ^ 2025-08-14T21:39:36.7628120Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7629065Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7629457Z | ^ 2025-08-14T21:39:36.7629988Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:156:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7633043Z 156 | grad_t grad_blocked_buffer[C_BLOCK * D]; 2025-08-14T21:39:36.7633273Z | ^ 2025-08-14T21:39:36.7633782Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7634281Z 125 | const auto D = 2025-08-14T21:39:36.7634446Z | ^ 2025-08-14T21:39:36.7635064Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7635775Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7636114Z | ^ 2025-08-14T21:39:36.7637054Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:623:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7637966Z 623 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7638229Z | ^ 2025-08-14T21:39:36.7641062Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:211:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7641670Z 211 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7641896Z | ^ 2025-08-14T21:39:36.7642425Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_rowwise_adagrad_split_cpu_hip.cpp:125:16: note: declared here 2025-08-14T21:39:36.7642933Z 125 | const auto D = 2025-08-14T21:39:36.7643092Z | ^ 2025-08-14T21:39:36.7643418Z 20 warnings generated when compiling for host. 2025-08-14T21:39:36.7643574Z 2025-08-14T21:39:36.7644413Z [310/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_partial_rowwise_adam_split_weighted_kernel_warp.hip.o 2025-08-14T21:39:36.7645432Z [311/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_sgd_split_cpu_hip.cpp.o 2025-08-14T21:39:36.7646378Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7649975Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7650239Z | ^ 2025-08-14T21:39:36.7650799Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7651645Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:36.7652118Z 123 | const auto D = 2025-08-14T21:39:36.7652281Z | ^ 2025-08-14T21:39:36.7652876Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:358:31: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7653637Z 358 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:36.7653845Z | ^~~~~ 2025-08-14T21:39:36.7654435Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:358:31: note: read of non-const variable 'T' is not allowed in a constant expression 2025-08-14T21:39:36.7655330Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:346:11: note: declared here 2025-08-14T21:39:36.7658304Z 346 | int64_t T = weights_offsets.size(0); 2025-08-14T21:39:36.7658530Z | ^ 2025-08-14T21:39:36.7659087Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:456:31: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7659730Z 456 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:36.7659932Z | ^~~~~ 2025-08-14T21:39:36.7660620Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:456:31: note: read of non-const variable 'T' is not allowed in a constant expression 2025-08-14T21:39:36.7661474Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:442:11: note: declared here 2025-08-14T21:39:36.7661957Z 442 | int64_t T = D_offsets.numel() - 1; 2025-08-14T21:39:36.7662147Z | ^ 2025-08-14T21:39:36.7662712Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7663349Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7665813Z | ^ 2025-08-14T21:39:36.7666716Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7667709Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7667980Z | ^ 2025-08-14T21:39:36.7668492Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7669056Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7669270Z | ^ 2025-08-14T21:39:36.7669736Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:36.7670205Z 123 | const auto D = 2025-08-14T21:39:36.7670364Z | ^ 2025-08-14T21:39:36.7670947Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7673993Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7674229Z | ^ 2025-08-14T21:39:36.7675051Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7675932Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7676315Z | ^ 2025-08-14T21:39:36.7676937Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7677511Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7677734Z | ^ 2025-08-14T21:39:36.7678177Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:36.7678639Z 123 | const auto D = 2025-08-14T21:39:36.7678796Z | ^ 2025-08-14T21:39:36.7681434Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7681841Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7682077Z | ^ 2025-08-14T21:39:36.7682576Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7683110Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7683278Z | ^ 2025-08-14T21:39:36.7683589Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7683939Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7684076Z | ^ 2025-08-14T21:39:36.7684370Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:36.7685992Z 123 | const auto D = 2025-08-14T21:39:36.7686104Z | ^ 2025-08-14T21:39:36.7686641Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7687027Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7687165Z | ^ 2025-08-14T21:39:36.7687654Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7688194Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7688360Z | ^ 2025-08-14T21:39:36.7688668Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7689012Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7689145Z | ^ 2025-08-14T21:39:36.7690635Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:36.7690929Z 123 | const auto D = 2025-08-14T21:39:36.7691032Z | ^ 2025-08-14T21:39:36.7691384Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7691813Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7691948Z | ^ 2025-08-14T21:39:36.7692432Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7692964Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7693128Z | ^ 2025-08-14T21:39:36.7693434Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7693779Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7695021Z | ^ 2025-08-14T21:39:36.7695346Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:36.7695633Z 123 | const auto D = 2025-08-14T21:39:36.7695736Z | ^ 2025-08-14T21:39:36.7696085Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7696562Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7696698Z | ^ 2025-08-14T21:39:36.7697188Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7697723Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7697887Z | ^ 2025-08-14T21:39:36.7698237Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7699694Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7699833Z | ^ 2025-08-14T21:39:36.7700123Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:36.7700415Z 123 | const auto D = 2025-08-14T21:39:36.7700516Z | ^ 2025-08-14T21:39:36.7700869Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7701254Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7701390Z | ^ 2025-08-14T21:39:36.7701878Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7702404Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7702567Z | ^ 2025-08-14T21:39:36.7703951Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7704333Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7704468Z | ^ 2025-08-14T21:39:36.7704759Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:36.7705047Z 123 | const auto D = 2025-08-14T21:39:36.7705149Z | ^ 2025-08-14T21:39:36.7705504Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7705888Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7706022Z | ^ 2025-08-14T21:39:36.7706591Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7707150Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7708419Z | ^ 2025-08-14T21:39:36.7708731Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7709079Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7709215Z | ^ 2025-08-14T21:39:36.7709506Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:36.7709796Z 123 | const auto D = 2025-08-14T21:39:36.7709897Z | ^ 2025-08-14T21:39:36.7710017Z 11 warnings generated when compiling for gfx90a. 2025-08-14T21:39:36.7710455Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7710839Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7712055Z | ^ 2025-08-14T21:39:36.7712400Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7712901Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:36.7713188Z 123 | const auto D = 2025-08-14T21:39:36.7713289Z | ^ 2025-08-14T21:39:36.7713639Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:358:31: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7714026Z 358 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:36.7714155Z | ^~~~~ 2025-08-14T21:39:36.7714516Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:358:31: note: read of non-const variable 'T' is not allowed in a constant expression 2025-08-14T21:39:36.7715047Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:346:11: note: declared here 2025-08-14T21:39:36.7715347Z 346 | int64_t T = weights_offsets.size(0); 2025-08-14T21:39:36.7716679Z | ^ 2025-08-14T21:39:36.7717030Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:456:31: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7717409Z 456 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:36.7717536Z | ^~~~~ 2025-08-14T21:39:36.7717895Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:456:31: note: read of non-const variable 'T' is not allowed in a constant expression 2025-08-14T21:39:36.7718424Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:442:11: note: declared here 2025-08-14T21:39:36.7718724Z 442 | int64_t T = D_offsets.numel() - 1; 2025-08-14T21:39:36.7718842Z | ^ 2025-08-14T21:39:36.7719188Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7719693Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7719829Z | ^ 2025-08-14T21:39:36.7721409Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7721939Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7722102Z | ^ 2025-08-14T21:39:36.7722410Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7722756Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7722891Z | ^ 2025-08-14T21:39:36.7723181Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:36.7723522Z 123 | const auto D = 2025-08-14T21:39:36.7723623Z | ^ 2025-08-14T21:39:36.7723976Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7724355Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7725560Z | ^ 2025-08-14T21:39:36.7726050Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7726676Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7726840Z | ^ 2025-08-14T21:39:36.7727148Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7727496Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7727630Z | ^ 2025-08-14T21:39:36.7727920Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:36.7728208Z 123 | const auto D = 2025-08-14T21:39:36.7728333Z | ^ 2025-08-14T21:39:36.7728682Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7730141Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7730279Z | ^ 2025-08-14T21:39:36.7730762Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7731292Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7731452Z | ^ 2025-08-14T21:39:36.7731761Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7732134Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7732267Z | ^ 2025-08-14T21:39:36.7732558Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:36.7732849Z 123 | const auto D = 2025-08-14T21:39:36.7732950Z | ^ 2025-08-14T21:39:36.7734364Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7734748Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7734883Z | ^ 2025-08-14T21:39:36.7735374Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7735954Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7736117Z | ^ 2025-08-14T21:39:36.7736507Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7736851Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7736985Z | ^ 2025-08-14T21:39:36.7737276Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:36.7738659Z 123 | const auto D = 2025-08-14T21:39:36.7738766Z | ^ 2025-08-14T21:39:36.7739116Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7739496Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7739629Z | ^ 2025-08-14T21:39:36.7740110Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7740635Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7740824Z | ^ 2025-08-14T21:39:36.7741130Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7741473Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7741608Z | ^ 2025-08-14T21:39:36.7742961Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:36.7743252Z 123 | const auto D = 2025-08-14T21:39:36.7743353Z | ^ 2025-08-14T21:39:36.7743700Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7744081Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7744219Z | ^ 2025-08-14T21:39:36.7744743Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7745273Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7745435Z | ^ 2025-08-14T21:39:36.7745740Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7746081Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7747387Z | ^ 2025-08-14T21:39:36.7747683Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:36.7747971Z 123 | const auto D = 2025-08-14T21:39:36.7748071Z | ^ 2025-08-14T21:39:36.7748465Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7748848Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7748981Z | ^ 2025-08-14T21:39:36.7749469Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7749998Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7750161Z | ^ 2025-08-14T21:39:36.7750466Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7751891Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7752026Z | ^ 2025-08-14T21:39:36.7752315Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:36.7752602Z 123 | const auto D = 2025-08-14T21:39:36.7752703Z | ^ 2025-08-14T21:39:36.7753049Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7753455Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7753592Z | ^ 2025-08-14T21:39:36.7754083Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7754615Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7754779Z | ^ 2025-08-14T21:39:36.7756148Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7756573Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7756708Z | ^ 2025-08-14T21:39:36.7757027Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:36.7757314Z 123 | const auto D = 2025-08-14T21:39:36.7757414Z | ^ 2025-08-14T21:39:36.7757533Z 11 warnings generated when compiling for gfx942. 2025-08-14T21:39:36.7757914Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7758296Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7758429Z | ^ 2025-08-14T21:39:36.7758759Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7760429Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:36.7760719Z 123 | const auto D = 2025-08-14T21:39:36.7760819Z | ^ 2025-08-14T21:39:36.7761212Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:358:31: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7761590Z 358 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:36.7761718Z | ^~~~~ 2025-08-14T21:39:36.7762076Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:358:31: note: read of non-const variable 'T' is not allowed in a constant expression 2025-08-14T21:39:36.7762602Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:346:11: note: declared here 2025-08-14T21:39:36.7762902Z 346 | int64_t T = weights_offsets.size(0); 2025-08-14T21:39:36.7763023Z | ^ 2025-08-14T21:39:36.7764445Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:456:31: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7764829Z 456 | int table_to_feature_offset[T + 1]; 2025-08-14T21:39:36.7764955Z | ^~~~~ 2025-08-14T21:39:36.7765310Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:456:31: note: read of non-const variable 'T' is not allowed in a constant expression 2025-08-14T21:39:36.7765832Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:442:11: note: declared here 2025-08-14T21:39:36.7766175Z 442 | int64_t T = D_offsets.numel() - 1; 2025-08-14T21:39:36.7766291Z | ^ 2025-08-14T21:39:36.7766718Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7767101Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7767237Z | ^ 2025-08-14T21:39:36.7767717Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7769322Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7769492Z | ^ 2025-08-14T21:39:36.7769827Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7770178Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7770313Z | ^ 2025-08-14T21:39:36.7770603Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:36.7770888Z 123 | const auto D = 2025-08-14T21:39:36.7770988Z | ^ 2025-08-14T21:39:36.7771337Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7771717Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7771850Z | ^ 2025-08-14T21:39:36.7773451Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7773989Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7774153Z | ^ 2025-08-14T21:39:36.7774459Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7774802Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7774936Z | ^ 2025-08-14T21:39:36.7775225Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:36.7775511Z 123 | const auto D = 2025-08-14T21:39:36.7775549Z | ^ 2025-08-14T21:39:36.7775842Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7775898Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7775942Z | ^ 2025-08-14T21:39:36.7776351Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7776537Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7777665Z | ^ 2025-08-14T21:39:36.7777923Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7777978Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7778024Z | ^ 2025-08-14T21:39:36.7778234Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:36.7778275Z 123 | const auto D = 2025-08-14T21:39:36.7778312Z | ^ 2025-08-14T21:39:36.7778604Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7778688Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7778732Z | ^ 2025-08-14T21:39:36.7779145Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7779234Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7779268Z | ^ 2025-08-14T21:39:36.7779520Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7779576Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7779619Z | ^ 2025-08-14T21:39:36.7779831Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:36.7779874Z 123 | const auto D = 2025-08-14T21:39:36.7779948Z | ^ 2025-08-14T21:39:36.7780238Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7780294Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7781398Z | ^ 2025-08-14T21:39:36.7781800Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7781891Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7781925Z | ^ 2025-08-14T21:39:36.7782178Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7782233Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7782280Z | ^ 2025-08-14T21:39:36.7782489Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:36.7782530Z 123 | const auto D = 2025-08-14T21:39:36.7782566Z | ^ 2025-08-14T21:39:36.7782883Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7782939Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7782985Z | ^ 2025-08-14T21:39:36.7783388Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7783477Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7783511Z | ^ 2025-08-14T21:39:36.7783761Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7783817Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7783879Z | ^ 2025-08-14T21:39:36.7784090Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:36.7784132Z 123 | const auto D = 2025-08-14T21:39:36.7784168Z | ^ 2025-08-14T21:39:36.7785504Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7785561Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7785605Z | ^ 2025-08-14T21:39:36.7786010Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7786102Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7786170Z | ^ 2025-08-14T21:39:36.7786497Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7786553Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7786599Z | ^ 2025-08-14T21:39:36.7786810Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:36.7786853Z 123 | const auto D = 2025-08-14T21:39:36.7786889Z | ^ 2025-08-14T21:39:36.7787180Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension] 2025-08-14T21:39:36.7787236Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7787281Z | ^ 2025-08-14T21:39:36.7787692Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:488:11: note: in instantiation of function template specialization '(anonymous namespace)::split_embedding_backward_exact_cpu_kernel' requested here 2025-08-14T21:39:36.7787780Z 488 | split_embedding_backward_exact_cpu_kernel( 2025-08-14T21:39:36.7787815Z | ^ 2025-08-14T21:39:36.7788095Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:134:46: note: initializer of 'D' is not a constant expression 2025-08-14T21:39:36.7788151Z 134 | at::acc_type grad_buffer[D]; 2025-08-14T21:39:36.7788195Z | ^ 2025-08-14T21:39:36.7789469Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/gen_embedding_backward_sgd_split_cpu_hip.cpp:123:16: note: declared here 2025-08-14T21:39:36.7789514Z 123 | const auto D = 2025-08-14T21:39:36.7789551Z | ^ 2025-08-14T21:39:36.7789610Z 11 warnings generated when compiling for host. 2025-08-14T21:39:36.7789615Z 2025-08-14T21:39:37.1252915Z [311/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_partial_rowwise_adam_split_unweighted_nobag_hip.hip.o 2025-08-14T21:39:37.1253704Z [312/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_pt2.dir/fbgemm_gpu_tbe_training_backward_pt2_generated_gen_embedding_backward_split_rowwise_adagrad_with_counter_pt2_hip_wrapper.cpp.o 2025-08-14T21:39:37.8138922Z [312/612] Linking CXX shared library fbgemm_gpu_tbe_training_backward_pt2.so 2025-08-14T21:39:37.8139665Z [313/612] Linking CXX shared library fbgemm_gpu_tbe_training_backward_pt2.so 2025-08-14T21:39:37.8283265Z [313/612] cd /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build && bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../.github/scripts/fbgemm_gpu_postbuild.bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_tbe_training_backward_pt2.so 1 2025-08-14T21:39:37.8285328Z [314/612] cd /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build && bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../.github/scripts/fbgemm_gpu_postbuild.bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_tbe_training_backward_pt2.so 1 2025-08-14T21:39:37.8286368Z ################################################################################ 2025-08-14T21:39:37.8286708Z [CMAKE] Running post-build script ... 2025-08-14T21:39:37.8287723Z Target file: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_tbe_training_backward_pt2.so 2025-08-14T21:39:37.8288198Z Resetting RPATH to $ORIGIN ... 2025-08-14T21:39:37.8288458Z 0x000000000000000f (RPATH) Library rpath: [$ORIGIN] 2025-08-14T21:39:37.8288748Z ################################################################################ 2025-08-14T21:39:37.8288906Z 2025-08-14T21:39:41.1877336Z [314/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_partial_rowwise_adam_split_unweighted_nobag_kernel_warp.hip.o 2025-08-14T21:39:41.1878135Z [315/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_rowwise_adagrad_ssd_weighted_kernel_warp.hip.o 2025-08-14T21:39:41.7310570Z [315/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_partial_rowwise_lamb_split_unweighted_nobag_kernel_cta.hip.o 2025-08-14T21:39:41.7317002Z [316/612] 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 2025-08-14T21:39:41.9642234Z [316/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_partial_rowwise_adam_split_unweighted_hip.hip.o 2025-08-14T21:39:41.9642985Z [317/612] 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 2025-08-14T21:39:42.2552070Z [317/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_partial_rowwise_adam_split_unweighted_kernel_cta.hip.o 2025-08-14T21:39:42.2552913Z [318/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_rowwise_adagrad_ssd_unweighted_hip.hip.o 2025-08-14T21:39:42.3969193Z [318/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_partial_rowwise_adam_split_unweighted_kernel_warp.hip.o 2025-08-14T21:39:42.3969953Z [319/612] 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 2025-08-14T21:39:43.6444213Z [319/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_partial_rowwise_lamb_split_weighted_hip.hip.o 2025-08-14T21:39:43.6450969Z [320/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_rowwise_adagrad_ssd_unweighted_nobag_kernel_warp.hip.o 2025-08-14T21:39:43.6473822Z [320/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_partial_rowwise_lamb_split_weighted_kernel_cta.hip.o 2025-08-14T21:39:43.6474509Z [321/612] 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 2025-08-14T21:39:43.6991896Z [321/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_partial_rowwise_lamb_split_weighted_kernel_warp.hip.o 2025-08-14T21:39:43.6992650Z [322/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_rowwise_adagrad_ssd_unweighted_kernel_warp.hip.o 2025-08-14T21:39:45.5932717Z [322/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_partial_rowwise_lamb_split_unweighted_nobag_hip.hip.o 2025-08-14T21:39:45.5933726Z [323/612] 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 2025-08-14T21:39:45.6657861Z [323/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_partial_rowwise_lamb_split_unweighted_nobag_kernel_warp.hip.o 2025-08-14T21:39:45.6658704Z [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 2025-08-14T21:39:46.1922705Z [324/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_none_split_weighted_hip.hip.o 2025-08-14T21:39:46.1923556Z [325/612] 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 2025-08-14T21:39:46.4651571Z [325/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_partial_rowwise_lamb_split_unweighted_hip.hip.o 2025-08-14T21:39:46.4652752Z [326/612] 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 2025-08-14T21:39:46.7693507Z [326/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_partial_rowwise_lamb_split_unweighted_kernel_cta.hip.o 2025-08-14T21:39:46.7694316Z [327/612] 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 2025-08-14T21:39:47.1018042Z [327/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_partial_rowwise_lamb_split_unweighted_kernel_warp.hip.o 2025-08-14T21:39:47.1019248Z [328/612] 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 2025-08-14T21:39:48.0477020Z [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 2025-08-14T21:39:48.0478258Z [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 2025-08-14T21:39:48.5222533Z [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 2025-08-14T21:39:48.5223814Z [330/612] 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 2025-08-14T21:39:48.5306352Z [330/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_none_split_unweighted_nobag_kernel_warp.hip.o 2025-08-14T21:39:48.5307758Z [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 2025-08-14T21:39:49.0984464Z [331/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_none_split_unweighted_kernel_cta.hip.o 2025-08-14T21:39:49.0985205Z [332/612] 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 2025-08-14T21:39:50.7208104Z [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 2025-08-14T21:39:50.7208814Z [333/612] 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 2025-08-14T21:39:50.9155946Z [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 2025-08-14T21:39:50.9157196Z [334/612] 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 2025-08-14T21:39:51.2735455Z [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 2025-08-14T21:39:51.2744069Z [335/612] 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 2025-08-14T21:39:51.5914785Z [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 2025-08-14T21:39:51.5916029Z [336/612] 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 2025-08-14T21:39:51.5945809Z [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 2025-08-14T21:39:51.5947051Z [337/612] 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 2025-08-14T21:39:52.2048423Z [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 2025-08-14T21:39:52.2049190Z [338/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_adam_split_weighted_kernel_warp.hip.o 2025-08-14T21:39:52.6584954Z [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 2025-08-14T21:39:52.6585683Z [339/612] 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 2025-08-14T21:39:52.7738406Z [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 2025-08-14T21:39:52.7739173Z [340/612] 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 2025-08-14T21:39:52.7775334Z [340/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_hip.hip.o 2025-08-14T21:39:52.7776019Z [341/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_adam_split_weighted_kernel_cta.hip.o 2025-08-14T21:39:53.0969100Z [341/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_kernel_warp.hip.o 2025-08-14T21:39:53.0969831Z [342/612] 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 2025-08-14T21:39:53.3820764Z [342/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_split_weighted_device_kernel_hip.hip.o 2025-08-14T21:39:53.3821862Z [343/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_sgd_split_unweighted_hip.hip.o 2025-08-14T21:39:54.0052369Z [343/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_split_unweighted_nobag_device_kernel_hip.hip.o 2025-08-14T21:39:54.0053084Z [344/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_adam_split_unweighted_nobag_kernel_cta.hip.o 2025-08-14T21:39:54.1625778Z [344/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_split_unweighted_device_kernel_hip.hip.o 2025-08-14T21:39:54.1627636Z [345/612] Building HIPCC object 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CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_lamb_split_weighted_kernel_warp.hip.o 2025-08-14T21:39:54.9327033Z [347/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_index_select.dir/codegen/training/index_select/fbgemm_gpu_tbe_index_select_generated_batch_index_select_dim0_cpu_host_hip.cpp.o 2025-08-14T21:39:54.9328385Z [348/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_adam_split_unweighted_kernel_cta.hip.o 2025-08-14T21:39:54.9424207Z [348/612] cd /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build && bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../.github/scripts/fbgemm_gpu_postbuild.bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_tbe_training_backward_split_host.so 1 2025-08-14T21:39:54.9426235Z [349/612] cd /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build && bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../.github/scripts/fbgemm_gpu_postbuild.bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_tbe_training_backward_split_host.so 1 2025-08-14T21:39:54.9437036Z ################################################################################ 2025-08-14T21:39:54.9437329Z [CMAKE] Running post-build script ... 2025-08-14T21:39:54.9437820Z Target file: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_tbe_training_backward_split_host.so 2025-08-14T21:39:54.9438300Z Resetting RPATH to $ORIGIN ... 2025-08-14T21:39:54.9438558Z 0x000000000000000f (RPATH) Library rpath: [$ORIGIN] 2025-08-14T21:39:54.9438853Z ################################################################################ 2025-08-14T21:39:54.9439007Z 2025-08-14T21:39:55.6921892Z [349/612] Building HIPCC object 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2025-08-14T21:40:56.0312822Z [458/612] 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 2025-08-14T21:40:56.3510415Z [459/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/sparse_ops/fbgemm_gpu_py_generated_sparse_ops_gpu.cpp.o 2025-08-14T21:40:56.5425843Z [460/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_ssd_unweighted_kernel.hip.o 2025-08-14T21:40:56.5865662Z [461/612] 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 2025-08-14T21:40:56.5866673Z [462/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/jagged_tensor_ops/fbgemm_gpu_py_generated_dense_to_jagged_forward.hip.o 2025-08-14T21:40:56.5867396Z In file included from /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/dense_to_jagged_forward.hip:10: 2025-08-14T21:40:56.5868631Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5876305Z 317 | __launch_bounds__(kMaxThreads) void jagged_dense_dense_elementwise_jagged_output_kernel_( 2025-08-14T21:40:56.5876901Z | ^ 2025-08-14T21:40:56.5877915Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5879674Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5881431Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5882889Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5884334Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5885810Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5887987Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5889561Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5891139Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5892862Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5894433Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5896006Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5897851Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5899424Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5901034Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5902620Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5904185Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5905745Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5907420Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5908976Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5910602Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5912162Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5913716Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5915277Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5916893Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5918444Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5920061Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5921607Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5923212Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5924783Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5926309Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5928045Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5929780Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5931306Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5932772Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5934264Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5935723Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5937448Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5939031Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5939880Z 40 warnings generated when compiling for gfx90a. 2025-08-14T21:40:56.5940313Z In file included from /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/dense_to_jagged_forward.hip:10: 2025-08-14T21:40:56.5941387Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5942369Z 317 | __launch_bounds__(kMaxThreads) void jagged_dense_dense_elementwise_jagged_output_kernel_( 2025-08-14T21:40:56.5942705Z | ^ 2025-08-14T21:40:56.5943444Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5944744Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5946033Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5947546Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5948882Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5950326Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5951756Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5957174Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5958607Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5960194Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5961587Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5962952Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5964535Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5966064Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5967769Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5969407Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5970931Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5975423Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5977168Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5978712Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5980383Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5981943Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5983510Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5985074Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5986756Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5988326Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5989897Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5991560Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5995641Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5997247Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.5998789Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.6000494Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.6002094Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.6003677Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.6005249Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.6006843Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.6008372Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.6009834Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.6013575Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:56.6014568Z 40 warnings generated when compiling for gfx942. 2025-08-14T21:40:56.7686264Z 2025-08-14T21:40:56.7735826Z [463/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/metric_ops/fbgemm_gpu_py_generated_metric_ops.hip.o 2025-08-14T21:40:57.1118646Z [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_unweighted_kernel_cta.hip.o 2025-08-14T21:40:57.6255585Z [465/612] 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 2025-08-14T21:40:57.6384054Z [466/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/permute_pooled_embedding_ops/fbgemm_gpu_py_generated_permute_pooled_embedding_ops.hip.o 2025-08-14T21:40:57.8940412Z [467/612] 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 2025-08-14T21:40:57.9385816Z [468/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/quantize_ops/fbgemm_gpu_py_generated_quantize_padded_fp8_rowwise.hip.o 2025-08-14T21:40:58.0452997Z [469/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/jagged_tensor_ops/fbgemm_gpu_py_generated_jagged_index_add_2d_forward.hip.o 2025-08-14T21:40:58.0723794Z [470/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/quantize_ops/fbgemm_gpu_py_generated_quantize_fp8_rowwise.hip.o 2025-08-14T21:40:58.0929451Z [471/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/jagged_tensor_ops/fbgemm_gpu_py_generated_jagged_jagged_bmm_forward.hip.o 2025-08-14T21:40:58.1720049Z [472/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/tbe/eeg/fbgemm_gpu_py_generated_indices_generator_ops.cpp.o 2025-08-14T21:40:58.1720650Z [473/612] 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 2025-08-14T21:40:58.2212665Z [474/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/jagged_tensor_ops/fbgemm_gpu_py_generated_jagged_dense_bmm_forward.hip.o 2025-08-14T21:40:58.2263997Z [475/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/layout_transform_ops/fbgemm_gpu_py_generated_layout_transform_ops.hip.o 2025-08-14T21:40:58.3070577Z [476/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/tbe/eeg/fbgemm_gpu_py_generated_eeg_utils.cpp.o 2025-08-14T21:40:58.4259543Z [477/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/quantize_ops/fbgemm_gpu_py_generated_quantize_mx.hip.o 2025-08-14T21:40:58.4265518Z [478/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/jagged_tensor_ops/fbgemm_gpu_py_generated_jagged_to_padded_dense_backward.hip.o 2025-08-14T21:40:58.4266674Z In file included from /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_to_padded_dense_backward.hip:10: 2025-08-14T21:40:58.4267383Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4268234Z 317 | __launch_bounds__(kMaxThreads) void jagged_dense_dense_elementwise_jagged_output_kernel_( 2025-08-14T21:40:58.4268462Z | ^ 2025-08-14T21:40:58.4269054Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4270077Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4270970Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4271856Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4272749Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4273627Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4274505Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4275461Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4276338Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4277320Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4278224Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4279084Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4280010Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4280907Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4281756Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4282606Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4283456Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4284309Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4285189Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4286052Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4287001Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4293482Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4294410Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4294910Z 24 warnings generated when compiling for gfx90a. 2025-08-14T21:40:58.4295178Z In file included from /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_to_padded_dense_backward.hip:10: 2025-08-14T21:40:58.4295787Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4296343Z 317 | __launch_bounds__(kMaxThreads) void jagged_dense_dense_elementwise_jagged_output_kernel_( 2025-08-14T21:40:58.4296686Z | ^ 2025-08-14T21:40:58.4297174Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4298015Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4298868Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4299708Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4301999Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4302890Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4303730Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4304566Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4305424Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4306257Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4307192Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4308086Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4308926Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4309758Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4311788Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4312622Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4313456Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4314325Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4315168Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4316006Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4316952Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4317786Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4318638Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:58.4319137Z 24 warnings generated when compiling for gfx942. 2025-08-14T21:40:58.5097912Z 2025-08-14T21:40:58.6632132Z [479/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/quantize_ops/fbgemm_gpu_py_generated_quantize_fused_nbit_rowwise.hip.o 2025-08-14T21:40:58.7500643Z [480/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/tbe/eeg/fbgemm_gpu_py_generated_indices_estimator_ops.cpp.o 2025-08-14T21:40:58.7695097Z [481/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/jagged_tensor_ops/fbgemm_gpu_py_generated_jagged_unique_indices.hip.o 2025-08-14T21:40:59.0363971Z [482/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/permute_multi_embedding_ops/fbgemm_gpu_py_generated_permute_multi_embedding_ops.hip.o 2025-08-14T21:40:59.0364726Z [483/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/jagged_tensor_ops/fbgemm_gpu_py_generated_jagged_dense_elementwise_mul_forward.hip.o 2025-08-14T21:40:59.0366353Z In file included from /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_dense_elementwise_mul_forward.hip:10: 2025-08-14T21:40:59.0367459Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0368279Z 317 | __launch_bounds__(kMaxThreads) void jagged_dense_dense_elementwise_jagged_output_kernel_( 2025-08-14T21:40:59.0375524Z | ^ 2025-08-14T21:40:59.0376191Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0377772Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0378784Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0379625Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0380566Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0381417Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0382263Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0383215Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0384055Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0384899Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0385757Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0386734Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0387585Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0388460Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0389309Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0390155Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0391019Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0391869Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0392719Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0393610Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0394456Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0395300Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0396151Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0396739Z 24 warnings generated when compiling for gfx90a. 2025-08-14T21:40:59.0397016Z In file included from /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_dense_elementwise_mul_forward.hip:10: 2025-08-14T21:40:59.0397632Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0398218Z 317 | __launch_bounds__(kMaxThreads) void jagged_dense_dense_elementwise_jagged_output_kernel_( 2025-08-14T21:40:59.0398416Z | ^ 2025-08-14T21:40:59.0398902Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0399838Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0400678Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0401539Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0402379Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0403221Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0404108Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0406794Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0407633Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0408476Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0409303Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0410171Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0410998Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0411831Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0412669Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0413520Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0414345Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0416559Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0417406Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0418237Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0419070Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0419902Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0420729Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:40:59.0421254Z 24 warnings generated when compiling for gfx942. 2025-08-14T21:40:59.3053128Z 2025-08-14T21:40:59.4629352Z [484/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/quantize_ops/fbgemm_gpu_py_generated_quantize_fused_8bit_rowwise.hip.o 2025-08-14T21:41:00.3914418Z [485/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/quantize_ops/fbgemm_gpu_py_generated_quantize_bfloat16.hip.o 2025-08-14T21:41:00.5689167Z [486/612] 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 2025-08-14T21:41:00.8960727Z [487/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/quantize_ops/fbgemm_gpu_py_generated_quantize_msfp.hip.o 2025-08-14T21:41:00.8961333Z [488/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/jagged_tensor_ops/fbgemm_gpu_py_generated_jagged_dense_elementwise_mul_backward.hip.o 2025-08-14T21:41:00.8961821Z In file included from /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_dense_elementwise_mul_backward.hip:11: 2025-08-14T21:41:00.8963017Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.8963641Z 317 | __launch_bounds__(kMaxThreads) void jagged_dense_dense_elementwise_jagged_output_kernel_( 2025-08-14T21:41:00.8963847Z | ^ 2025-08-14T21:41:00.8964344Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.8972055Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.8972914Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.8973752Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.8974595Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.8975438Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.8976271Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.8977322Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.8978156Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.8978993Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.8979855Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.8980689Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.8981537Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.8982440Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.8983283Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.8984123Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.8984975Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.8985820Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.8986771Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.8987645Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.8988485Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.8989325Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.8990192Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.8990701Z 24 warnings generated when compiling for gfx90a. 2025-08-14T21:41:00.8990977Z In file included from /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_dense_elementwise_mul_backward.hip:11: 2025-08-14T21:41:00.8991599Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.8992169Z 317 | __launch_bounds__(kMaxThreads) void jagged_dense_dense_elementwise_jagged_output_kernel_( 2025-08-14T21:41:00.8992368Z | ^ 2025-08-14T21:41:00.8992892Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.8993730Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.8994567Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.8995406Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.8996243Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.8997267Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.8998384Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.9002675Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.9004033Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.9005428Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.9006852Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.9008171Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.9009568Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.9010964Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.9012285Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.9013590Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.9014718Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.9017300Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.9018150Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.9018982Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.9019822Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.9020692Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.9021526Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:00.9022024Z 24 warnings generated when compiling for gfx942. 2025-08-14T21:41:01.1403526Z 2025-08-14T21:41:01.4995613Z [489/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/tbe/eeg/fbgemm_gpu_py_generated_indices_generator.cpp.o 2025-08-14T21:41:02.0551744Z [490/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/quantize_ops/fbgemm_gpu_py_generated_quantize_hfp8.hip.o 2025-08-14T21:41:02.1289110Z [491/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/tbe/eeg/fbgemm_gpu_py_generated_indices_estimator.cpp.o 2025-08-14T21:41:02.1840325Z [492/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_ssd_weighted_kernel.hip.o 2025-08-14T21:41:02.6457213Z [493/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/sparse_ops/fbgemm_gpu_py_generated_sparse_async_batched_cumsum.hip.o 2025-08-14T21:41:02.6458057Z [494/612] 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 2025-08-14T21:41:02.6458840Z 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: 2025-08-14T21:41:02.6459838Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6468127Z 317 | __launch_bounds__(kMaxThreads) void jagged_dense_dense_elementwise_jagged_output_kernel_( 2025-08-14T21:41:02.6468475Z | ^ 2025-08-14T21:41:02.6469047Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6470193Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6471147Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6472112Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6473191Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6474154Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6475117Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6476158Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6477315Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6478275Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6479126Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6480077Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6480918Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6481795Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6482636Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6483476Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6484354Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6485196Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6486035Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6487837Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6488679Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6489519Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6490368Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6491208Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6492042Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6492914Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6493753Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6494584Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6495438Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6496269Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6497209Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6498089Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6498922Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6499759Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6500604Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6501439Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6502272Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6503134Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6503970Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6504472Z 40 warnings generated when compiling for gfx90a. 2025-08-14T21:41:02.6504772Z 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: 2025-08-14T21:41:02.6505439Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6505994Z 317 | __launch_bounds__(kMaxThreads) void jagged_dense_dense_elementwise_jagged_output_kernel_( 2025-08-14T21:41:02.6506196Z | ^ 2025-08-14T21:41:02.6506774Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6507662Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6508501Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6510882Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6511736Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6512562Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6513388Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6514252Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6515084Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6515910Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6516832Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6517657Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6518482Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6519353Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6521485Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6522315Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6523158Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6523984Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6524811Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6525680Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6526583Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6527411Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6528264Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6529091Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6531073Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6531954Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6532784Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6533613Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6534445Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6535274Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6536100Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6537019Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6537847Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6538675Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6540647Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6541480Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6542305Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6543180Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6544009Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:02.6544498Z 40 warnings generated when compiling for gfx942. 2025-08-14T21:41:03.3723464Z 2025-08-14T21:41:03.5718768Z [495/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/jagged_tensor_ops/fbgemm_gpu_py_generated_jagged_tensor_ops_autograd.cpp.o 2025-08-14T21:41:03.5725659Z [496/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/jagged_tensor_ops/fbgemm_gpu_py_generated_jagged_to_padded_dense_forward.hip.o 2025-08-14T21:41:03.5726081Z In file included from /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_to_padded_dense_forward.hip:10: 2025-08-14T21:41:03.5726827Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5727421Z 317 | __launch_bounds__(kMaxThreads) void jagged_dense_dense_elementwise_jagged_output_kernel_( 2025-08-14T21:41:03.5727617Z | ^ 2025-08-14T21:41:03.5728513Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5729359Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5730198Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5731034Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5731944Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5732775Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5733618Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5734591Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5735430Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5736271Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5737259Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5738099Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5738969Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5739813Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5740660Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5741511Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5742375Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5743221Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5744111Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5744954Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5745798Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5746754Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5747590Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5748430Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5749297Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5750138Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5750979Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5751845Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5752683Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5753520Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5754396Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5755239Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5756079Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5757033Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5757871Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5758706Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5759641Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5760483Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5761321Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5762200Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5763037Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5763876Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5764766Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5765609Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5766571Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5767425Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5768266Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5768767Z 48 warnings generated when compiling for gfx90a. 2025-08-14T21:41:03.5769026Z In file included from /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/jagged_to_padded_dense_forward.hip:10: 2025-08-14T21:41:03.5769658Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5770211Z 317 | __launch_bounds__(kMaxThreads) void jagged_dense_dense_elementwise_jagged_output_kernel_( 2025-08-14T21:41:03.5772335Z | ^ 2025-08-14T21:41:03.5772831Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5773670Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5774542Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5775372Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5776204Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5777211Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5778048Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5778881Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5779722Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5782120Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5782992Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5783827Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5784656Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5785487Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5786344Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5787287Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5788118Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5788993Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5789821Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5790653Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5792776Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5793605Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5794464Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5795295Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5796126Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5797078Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5797934Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5798760Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5799686Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5800515Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5802561Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5803402Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5804231Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5805058Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5805919Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5806888Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5807713Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5808546Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5809403Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5810232Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5812328Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5813167Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5813994Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5814835Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5815668Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5816618Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5817472Z /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/src/jagged_tensor_ops/common_hip.cuh:317:37: warning: loop not unrolled: the optimizer was unable to perform the requested transformation; the transformation might be disabled or specified as part of an unsupported transformation ordering [-Wpass-failed=transform-warning] 2025-08-14T21:41:03.5817960Z 48 warnings generated when compiling for gfx942. 2025-08-14T21:41:03.7821008Z 2025-08-14T21:41:04.2331605Z [497/612] 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 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CMakeFiles/fbgemm_gpu_py.dir/src/jagged_tensor_ops/fbgemm_gpu_py_generated_jagged_tensor_ops_cpu_hip.cpp.o 2025-08-14T21:41:14.6191056Z [522/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/sparse_ops/fbgemm_gpu_py_generated_sparse_reorder_batched_ad.hip.o 2025-08-14T21:41:14.6192184Z [523/612] Building HIPCC object CMakeFiles/fbgemm_gpu_py.dir/src/intraining_embedding_pruning_ops/fbgemm_gpu_py_generated_intraining_embedding_pruning.hip.o 2025-08-14T21:41:15.2152244Z [523/612] Linking CXX shared library fbgemm_gpu_py.so 2025-08-14T21:41:15.2152864Z [524/612] Linking CXX shared library fbgemm_gpu_py.so 2025-08-14T21:41:15.2394254Z [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 2025-08-14T21:41:15.2395261Z [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 2025-08-14T21:41:15.2395756Z ################################################################################ 2025-08-14T21:41:15.2401923Z [CMAKE] Running post-build script ... 2025-08-14T21:41:15.2402175Z Target file: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_py.so 2025-08-14T21:41:15.2402410Z Resetting RPATH to $ORIGIN ... 2025-08-14T21:41:15.2402559Z 0x000000000000000f (RPATH) Library rpath: [$ORIGIN] 2025-08-14T21:41:15.2402895Z ################################################################################ 2025-08-14T21:41:22.9112109Z 2025-08-14T21:41:22.9114662Z [526/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward.dir/fbgemm_gpu_tbe_training_backward_generated_gen_embedding_backward_split_indice_weights_codegen_hip.hip.o 2025-08-14T21:41:24.3669883Z [526/612] Linking CXX shared library fbgemm_gpu_tbe_training_backward.so 2025-08-14T21:41:24.3670251Z [527/612] Linking CXX shared library fbgemm_gpu_tbe_training_backward.so 2025-08-14T21:41:24.3670768Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:24.3671488Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_with_counter_split_unweighted_vbe_kernel_cta.hip.o 2025-08-14T21:41:24.3675571Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_dense.dir/fbgemm_gpu_tbe_training_backward_dense_generated_gen_embedding_backward_dense_split_weighted_kernel_warp.hip.o 2025-08-14T21:41:24.3677369Z [527/612] cd /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build && bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../.github/scripts/fbgemm_gpu_postbuild.bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_tbe_training_backward.so 1 2025-08-14T21:41:24.3683431Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_gwd.dir/fbgemm_gpu_tbe_training_backward_gwd_generated_gen_embedding_backward_rowwise_adagrad_split_weighted_gwd_hip.hip.o 2025-08-14T21:41:24.3685349Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_gwd.dir/fbgemm_gpu_tbe_training_backward_gwd_generated_gen_embedding_backward_rowwise_adagrad_split_weighted_gwd_kernel_cta.hip.o 2025-08-14T21:41:24.3688410Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_gwd.dir/fbgemm_gpu_tbe_training_backward_gwd_generated_gen_embedding_backward_rowwise_adagrad_split_weighted_gwd_kernel_warp.hip.o 2025-08-14T21:41:24.3690979Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_gwd.dir/fbgemm_gpu_tbe_training_backward_gwd_generated_gen_embedding_backward_rowwise_adagrad_split_unweighted_gwd_hip.hip.o 2025-08-14T21:41:24.3693706Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_gwd.dir/fbgemm_gpu_tbe_training_backward_gwd_generated_gen_embedding_backward_rowwise_adagrad_split_unweighted_gwd_kernel_cta.hip.o 2025-08-14T21:41:24.3698648Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_gwd.dir/fbgemm_gpu_tbe_training_backward_gwd_generated_gen_embedding_backward_rowwise_adagrad_split_unweighted_gwd_kernel_warp.hip.o 2025-08-14T21:41:24.3699717Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_gwd.dir/fbgemm_gpu_tbe_training_backward_gwd_generated_gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_gwd_hip.hip.o 2025-08-14T21:41:24.3701995Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_gwd.dir/fbgemm_gpu_tbe_training_backward_gwd_generated_gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_gwd_kernel_cta.hip.o 2025-08-14T21:41:24.3702730Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_gwd.dir/fbgemm_gpu_tbe_training_backward_gwd_generated_gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_gwd_kernel_warp.hip.o 2025-08-14T21:41:24.3707064Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_gwd.dir/fbgemm_gpu_tbe_training_backward_gwd_generated_gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_gwd_hip.hip.o 2025-08-14T21:41:24.3708634Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_gwd.dir/fbgemm_gpu_tbe_training_backward_gwd_generated_gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_gwd_kernel_cta.hip.o 2025-08-14T21:41:24.3709707Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_gwd.dir/fbgemm_gpu_tbe_training_backward_gwd_generated_gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_gwd_kernel_warp.hip.o 2025-08-14T21:41:24.3713331Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_with_counter_split_weighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:24.3717069Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:24.3723518Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_ssd_weighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:24.3724314Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:24.3724938Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_ssd_unweighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:24.3725540Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_sgd_split_weighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:24.3726355Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_sgd_split_unweighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:24.3727101Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_dense_split_weighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:24.3731137Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_dense_split_unweighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:24.3734273Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_adam_split_weighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:24.3735851Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_adam_split_unweighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:24.3737658Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_ssd_weighted_vbe_hip.hip.o 2025-08-14T21:41:24.3739350Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_hip.hip.o 2025-08-14T21:41:24.3741881Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_kernel_cta.hip.o 2025-08-14T21:41:24.3749061Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_kernel_warp.hip.o 2025-08-14T21:41:24.3750394Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_with_counter_split_weighted_vbe_kernel_cta.hip.o 2025-08-14T21:41:24.3751936Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_ssd_weighted_vbe_kernel_cta.hip.o 2025-08-14T21:41:24.3752954Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_ssd_weighted_vbe_kernel_warp.hip.o 2025-08-14T21:41:24.3753936Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_hip.hip.o 2025-08-14T21:41:24.3754948Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_kernel_cta.hip.o 2025-08-14T21:41:24.3756835Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_kernel_warp.hip.o 2025-08-14T21:41:24.3758005Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_ssd_unweighted_vbe_hip.hip.o 2025-08-14T21:41:24.3760274Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_ssd_unweighted_vbe_kernel_cta.hip.o 2025-08-14T21:41:24.3764155Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_ssd_unweighted_vbe_kernel_warp.hip.o 2025-08-14T21:41:24.3767732Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_with_counter_split_weighted_vbe_hip.hip.o 2025-08-14T21:41:24.3768448Z [527/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_with_counter_split_weighted_vbe_kernel_warp.hip.o 2025-08-14T21:41:24.3769123Z [527/612] 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_sgd_split_weighted_vbe_kernel_warp.hip.o 2025-08-14T21:41:24.3782009Z [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 2025-08-14T21:41:24.3783596Z [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 2025-08-14T21:41:24.3786303Z [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 2025-08-14T21:41:24.3790367Z [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 2025-08-14T21:41:24.3791053Z [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 2025-08-14T21:41:24.3791664Z [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 2025-08-14T21:41:24.3792656Z [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 2025-08-14T21:41:24.3794664Z [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 2025-08-14T21:41:24.3796344Z [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 2025-08-14T21:41:24.3798365Z [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 2025-08-14T21:41:24.3799345Z [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 2025-08-14T21:41:24.3801563Z [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 2025-08-14T21:41:24.3802966Z [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 2025-08-14T21:41:24.3804677Z [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 2025-08-14T21:41:24.3807021Z [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 2025-08-14T21:41:24.3809104Z [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 2025-08-14T21:41:24.3811076Z [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 2025-08-14T21:41:24.3812383Z [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 2025-08-14T21:41:24.3814047Z [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 2025-08-14T21:41:24.3820603Z [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 2025-08-14T21:41:24.3821315Z [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 2025-08-14T21:41:24.3821913Z [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 2025-08-14T21:41:24.3822533Z [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 2025-08-14T21:41:24.3825400Z [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 2025-08-14T21:41:24.3827138Z [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 2025-08-14T21:41:24.3829306Z [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 2025-08-14T21:41:24.6842261Z [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 2025-08-14T21:41:24.6843755Z [528/612] cd /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build && bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../.github/scripts/fbgemm_gpu_postbuild.bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_tbe_training_backward.so 1 2025-08-14T21:41:24.6849657Z ################################################################################ 2025-08-14T21:41:24.6849826Z [CMAKE] Running post-build script ... 2025-08-14T21:41:24.6850107Z Target file: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_tbe_training_backward.so 2025-08-14T21:41:24.6850369Z Resetting RPATH to $ORIGIN ... 2025-08-14T21:41:24.6850516Z 0x000000000000000f (RPATH) Library rpath: [$ORIGIN] 2025-08-14T21:41:24.6850679Z ################################################################################ 2025-08-14T21:41:32.6761527Z 2025-08-14T21:41:44.1124677Z [529/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_weighted_vbe_gwd_kernel.hip.o 2025-08-14T21:41:44.1125405Z [530/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_forward.dir/fbgemm_gpu_tbe_training_forward_generated_gen_embedding_forward_split_unweighted_vbe_gwd_kernel.hip.o 2025-08-14T21:41:45.1585792Z [530/612] Linking CXX shared library fbgemm_gpu_tbe_training_forward.so 2025-08-14T21:41:45.1586350Z [531/612] Linking CXX shared library fbgemm_gpu_tbe_training_forward.so 2025-08-14T21:41:45.2995202Z [531/612] cd /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build && bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../.github/scripts/fbgemm_gpu_postbuild.bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_tbe_training_forward.so 1 2025-08-14T21:41:45.2997712Z [532/612] cd /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build && bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/../.github/scripts/fbgemm_gpu_postbuild.bash /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_tbe_training_forward.so 1 2025-08-14T21:41:45.2998704Z ################################################################################ 2025-08-14T21:41:45.2998969Z [CMAKE] Running post-build script ... 2025-08-14T21:41:45.3008726Z Target file: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-build/fbgemm_gpu_tbe_training_forward.so 2025-08-14T21:41:45.3009218Z Resetting RPATH to $ORIGIN ... 2025-08-14T21:41:45.3009472Z 0x000000000000000f (RPATH) Library rpath: [$ORIGIN] 2025-08-14T21:41:45.3009759Z ################################################################################ 2025-08-14T21:41:46.9287472Z 2025-08-14T21:41:47.0527522Z [533/612] 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_with_counter_split_unweighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:51.7554747Z [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_weighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:52.3268011Z [539/612] 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 2025-08-14T21:41:52.5727711Z [540/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_adam_split_unweighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:52.8423827Z [541/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_sgd_split_unweighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:53.9024032Z [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 2025-08-14T21:41:54.2474620Z [543/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_dense_split_unweighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:54.5468671Z [544/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_ssd_unweighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:54.5572864Z [545/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_dense.dir/fbgemm_gpu_tbe_training_backward_dense_generated_gen_embedding_backward_dense_split_unweighted_meta_hip.cpp.o 2025-08-14T21:41:54.7210952Z [546/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:55.1452695Z [547/612] 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 2025-08-14T21:41:55.2150132Z [548/612] 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 2025-08-14T21:41:55.6236622Z [549/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_adam_split_weighted_vbe_kernel_warp.hip.o 2025-08-14T21:41:56.1522788Z [550/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_meta_hip.cpp.o 2025-08-14T21:41:56.1925721Z [551/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_dense.dir/fbgemm_gpu_tbe_training_backward_dense_generated_gen_embedding_backward_dense_split_weighted_kernel_warp.hip.o 2025-08-14T21:41:56.7596275Z [552/612] 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 2025-08-14T21:41:58.4680489Z [553/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_adam_split_unweighted_vbe_kernel_cta.hip.o 2025-08-14T21:41:58.9989055Z [554/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_gwd.dir/fbgemm_gpu_tbe_training_backward_gwd_generated_gen_embedding_backward_rowwise_adagrad_split_unweighted_gwd_kernel_warp.hip.o 2025-08-14T21:41:59.2779385Z [555/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_dense.dir/fbgemm_gpu_tbe_training_backward_dense_generated_gen_embedding_backward_dense_split_unweighted_nobag_kernel_warp.hip.o 2025-08-14T21:42:00.2939264Z [556/612] 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 2025-08-14T21:42:00.4467187Z [557/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_dense_split_weighted_vbe_kernel_warp.hip.o 2025-08-14T21:42:00.4541673Z [558/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_dense_split_unweighted_vbe_kernel_warp.hip.o 2025-08-14T21:42:00.4856315Z [559/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_gwd.dir/fbgemm_gpu_tbe_training_backward_gwd_generated_gen_embedding_backward_rowwise_adagrad_split_unweighted_gwd_hip.hip.o 2025-08-14T21:42:00.5520874Z [560/612] 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 2025-08-14T21:42:00.5768546Z [561/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_adam_split_unweighted_vbe_kernel_warp.hip.o 2025-08-14T21:42:00.5802420Z [562/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_dense_split_unweighted_vbe_hip.hip.o 2025-08-14T21:42:00.8487382Z [563/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_gwd.dir/fbgemm_gpu_tbe_training_backward_gwd_generated_gen_embedding_backward_rowwise_adagrad_split_weighted_gwd_kernel_warp.hip.o 2025-08-14T21:42:01.3006167Z [564/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_gwd.dir/fbgemm_gpu_tbe_training_backward_gwd_generated_gen_embedding_backward_rowwise_adagrad_split_weighted_gwd_hip.hip.o 2025-08-14T21:42:01.4985698Z [565/612] 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 2025-08-14T21:42:01.5096222Z [566/612] 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 2025-08-14T21:42:01.7783631Z [567/612] 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 2025-08-14T21:42:01.8228015Z [568/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_kernel_warp.hip.o 2025-08-14T21:42:01.8253937Z [569/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_ssd_weighted_vbe_kernel_cta.hip.o 2025-08-14T21:42:02.2888392Z [570/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_dense.dir/fbgemm_gpu_tbe_training_backward_dense_generated_gen_embedding_backward_split_dense_hip.cpp.o 2025-08-14T21:42:02.2934855Z [571/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_gwd.dir/fbgemm_gpu_tbe_training_backward_gwd_generated_gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_gwd_hip.hip.o 2025-08-14T21:42:02.6762490Z [572/612] 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 2025-08-14T21:42:02.7272175Z [573/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_gwd.dir/fbgemm_gpu_tbe_training_backward_gwd_generated_gen_embedding_backward_rowwise_adagrad_split_unweighted_vbe_gwd_kernel_cta.hip.o 2025-08-14T21:42:02.7367812Z [574/612] 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 2025-08-14T21:42:02.7438929Z [575/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_ssd_unweighted_vbe_kernel_warp.hip.o 2025-08-14T21:42:02.9061708Z [576/612] 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 2025-08-14T21:42:02.9752148Z [577/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_split_weighted_vbe_kernel_cta.hip.o 2025-08-14T21:42:03.0111197Z [578/612] 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 2025-08-14T21:42:03.1854078Z [579/612] Building HIPCC object CMakeFiles/fbgemm_gpu_tbe_training_backward_vbe.dir/fbgemm_gpu_tbe_training_backward_vbe_generated_gen_embedding_backward_rowwise_adagrad_ssd_unweighted_vbe_hip.hip.o 2025-08-14T21:42:04.3993774Z [580/612] 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 2025-08-14T21:42:04.4904087Z [581/612] Building HIPCC object 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/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 2025-08-14T21:42:11.5545812Z -- 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 2025-08-14T21:42:11.5546270Z -- Installing: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/fbgemm_gpu_embedding_inplace_ops.so 2025-08-14T21:42:11.5546814Z -- Installing: /var/lib/jenkins/pytorch/fbgemm/fbgemm_gpu/_skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/fbgemm_gpu_py.so 2025-08-14T21:42:11.5714649Z 2025-08-14T21:42:11.5715389Z 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 2025-08-14T21:42:11.5718695Z copying fbgemm_gpu/quantize_comm.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/quantize_comm.py 2025-08-14T21:42:11.5719108Z 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 2025-08-14T21:42:11.5719505Z copying fbgemm_gpu/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/__init__.py 2025-08-14T21:42:11.5719951Z 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 2025-08-14T21:42:11.5720381Z copying fbgemm_gpu/split_embedding_inference_converter.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_embedding_inference_converter.py 2025-08-14T21:42:11.5720706Z copying fbgemm_gpu/uvm.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/uvm.py 2025-08-14T21:42:11.5720989Z copying fbgemm_gpu/split_embedding_utils.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_embedding_utils.py 2025-08-14T21:42:11.5721354Z 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 2025-08-14T21:42:11.5721760Z 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 2025-08-14T21:42:11.5722155Z copying fbgemm_gpu/split_embedding_optimizer_ops.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_embedding_optimizer_ops.py 2025-08-14T21:42:11.5722550Z copying fbgemm_gpu/runtime_monitor.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/runtime_monitor.py 2025-08-14T21:42:11.5722828Z copying fbgemm_gpu/enums.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/enums.py 2025-08-14T21:42:11.5723177Z 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 2025-08-14T21:42:11.5723599Z copying fbgemm_gpu/permute_pooled_embedding_modules.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/permute_pooled_embedding_modules.py 2025-08-14T21:42:11.5723996Z copying fbgemm_gpu/batched_unary_embeddings_ops.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/batched_unary_embeddings_ops.py 2025-08-14T21:42:11.5724359Z copying fbgemm_gpu/split_embedding_configs.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/split_embedding_configs.py 2025-08-14T21:42:11.5726392Z copying fbgemm_gpu/metrics.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/metrics.py 2025-08-14T21:42:11.5726867Z copying fbgemm_gpu/sparse_ops.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sparse_ops.py 2025-08-14T21:42:11.5727237Z 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 2025-08-14T21:42:11.5727628Z copying fbgemm_gpu/tbe_input_multiplexer.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe_input_multiplexer.py 2025-08-14T21:42:11.5727942Z copying fbgemm_gpu/quantize_utils.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/quantize_utils.py 2025-08-14T21:42:11.5728207Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe 2025-08-14T21:42:11.5728449Z copying fbgemm_gpu/tbe/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/__init__.py 2025-08-14T21:42:11.5728698Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/config 2025-08-14T21:42:11.5728969Z copying fbgemm_gpu/config/feature_list.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/config/feature_list.py 2025-08-14T21:42:11.5729273Z copying fbgemm_gpu/config/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/config/__init__.py 2025-08-14T21:42:11.5729570Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/triton 2025-08-14T21:42:11.5731280Z copying fbgemm_gpu/triton/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/triton/__init__.py 2025-08-14T21:42:11.5731576Z copying fbgemm_gpu/triton/quantize.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/triton/quantize.py 2025-08-14T21:42:11.5731880Z copying fbgemm_gpu/triton/quantize_ref.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/triton/quantize_ref.py 2025-08-14T21:42:11.5732181Z copying fbgemm_gpu/triton/common.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/triton/common.py 2025-08-14T21:42:11.5732432Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/utils 2025-08-14T21:42:11.5732702Z copying fbgemm_gpu/utils/torch_library.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/utils/torch_library.py 2025-08-14T21:42:11.5733006Z copying fbgemm_gpu/utils/loader.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/utils/loader.py 2025-08-14T21:42:11.5733291Z copying fbgemm_gpu/utils/filestore.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/utils/filestore.py 2025-08-14T21:42:11.5733592Z copying fbgemm_gpu/utils/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/utils/__init__.py 2025-08-14T21:42:11.5733842Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/quantize 2025-08-14T21:42:11.5734100Z copying fbgemm_gpu/quantize/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/quantize/__init__.py 2025-08-14T21:42:11.5734415Z copying fbgemm_gpu/quantize/quantize_ops.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/quantize/quantize_ops.py 2025-08-14T21:42:11.5736057Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/docs 2025-08-14T21:42:11.5736379Z 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 2025-08-14T21:42:11.5737078Z 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 2025-08-14T21:42:11.5737590Z copying fbgemm_gpu/docs/examples.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/docs/examples.py 2025-08-14T21:42:11.5738019Z copying fbgemm_gpu/docs/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/docs/__init__.py 2025-08-14T21:42:11.5738460Z copying fbgemm_gpu/docs/quantize_ops.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/docs/quantize_ops.py 2025-08-14T21:42:11.5738850Z copying fbgemm_gpu/docs/version.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/docs/version.py 2025-08-14T21:42:11.5739136Z copying fbgemm_gpu/docs/common.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/docs/common.py 2025-08-14T21:42:11.5739468Z copying fbgemm_gpu/docs/sparse_ops.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/docs/sparse_ops.py 2025-08-14T21:42:11.5739782Z copying fbgemm_gpu/docs/jagged_tensor_ops.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/docs/jagged_tensor_ops.py 2025-08-14T21:42:11.5741646Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll 2025-08-14T21:42:11.5741896Z copying fbgemm_gpu/sll/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/__init__.py 2025-08-14T21:42:11.5742142Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/bench 2025-08-14T21:42:11.5742428Z 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 2025-08-14T21:42:11.5742806Z 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 2025-08-14T21:42:11.5743153Z copying fbgemm_gpu/tbe/bench/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/bench/__init__.py 2025-08-14T21:42:11.5743564Z 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 2025-08-14T21:42:11.5743941Z copying fbgemm_gpu/tbe/bench/reporter.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/bench/reporter.py 2025-08-14T21:42:11.5744274Z copying fbgemm_gpu/tbe/bench/bench_config.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/bench/bench_config.py 2025-08-14T21:42:11.5744590Z copying fbgemm_gpu/tbe/bench/utils.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/bench/utils.py 2025-08-14T21:42:11.5746315Z copying fbgemm_gpu/tbe/bench/eeg_cli.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/bench/eeg_cli.py 2025-08-14T21:42:11.5746834Z 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 2025-08-14T21:42:11.5747236Z copying fbgemm_gpu/tbe/bench/eval_compression.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/bench/eval_compression.py 2025-08-14T21:42:11.5747578Z copying fbgemm_gpu/tbe/bench/bench_runs.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/bench/bench_runs.py 2025-08-14T21:42:11.5747850Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/ssd 2025-08-14T21:42:11.5748115Z copying fbgemm_gpu/tbe/ssd/training.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/ssd/training.py 2025-08-14T21:42:11.5748409Z copying fbgemm_gpu/tbe/ssd/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/ssd/__init__.py 2025-08-14T21:42:11.5748706Z copying fbgemm_gpu/tbe/ssd/inference.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/ssd/inference.py 2025-08-14T21:42:11.5749045Z copying fbgemm_gpu/tbe/ssd/common.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/ssd/common.py 2025-08-14T21:42:11.5749301Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/stats 2025-08-14T21:42:11.5749572Z copying fbgemm_gpu/tbe/stats/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/stats/__init__.py 2025-08-14T21:42:11.5749924Z 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 2025-08-14T21:42:11.5750228Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/utils 2025-08-14T21:42:11.5750493Z copying fbgemm_gpu/tbe/utils/offsets.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/utils/offsets.py 2025-08-14T21:42:11.5750803Z copying fbgemm_gpu/tbe/utils/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/utils/__init__.py 2025-08-14T21:42:11.5752531Z copying fbgemm_gpu/tbe/utils/quantize.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/utils/quantize.py 2025-08-14T21:42:11.5752877Z copying fbgemm_gpu/tbe/utils/requests.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/utils/requests.py 2025-08-14T21:42:11.5753190Z copying fbgemm_gpu/tbe/utils/common.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/utils/common.py 2025-08-14T21:42:11.5753461Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/cache 2025-08-14T21:42:11.5753720Z copying fbgemm_gpu/tbe/cache/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/cache/__init__.py 2025-08-14T21:42:11.5754072Z 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 2025-08-14T21:42:11.5754481Z 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 2025-08-14T21:42:11.5754799Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/ssd/utils 2025-08-14T21:42:11.5755081Z copying fbgemm_gpu/tbe/ssd/utils/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/ssd/utils/__init__.py 2025-08-14T21:42:11.5755516Z 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 2025-08-14T21:42:11.5757287Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/triton/jagged 2025-08-14T21:42:11.5757584Z copying fbgemm_gpu/triton/jagged/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/triton/jagged/__init__.py 2025-08-14T21:42:11.5757956Z 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 2025-08-14T21:42:11.5758279Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/meta 2025-08-14T21:42:11.5758537Z copying fbgemm_gpu/sll/meta/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/meta/__init__.py 2025-08-14T21:42:11.5758839Z copying fbgemm_gpu/sll/meta/meta_sll.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/meta/meta_sll.py 2025-08-14T21:42:11.5759105Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/cpu 2025-08-14T21:42:11.5759358Z copying fbgemm_gpu/sll/cpu/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/cpu/__init__.py 2025-08-14T21:42:11.5759717Z copying fbgemm_gpu/sll/cpu/cpu_sll.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/cpu/cpu_sll.py 2025-08-14T21:42:11.5759975Z creating directory _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/triton 2025-08-14T21:42:11.5760322Z 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 2025-08-14T21:42:11.5761949Z 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 2025-08-14T21:42:11.5762418Z 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 2025-08-14T21:42:11.5762782Z copying fbgemm_gpu/sll/triton/__init__.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/triton/__init__.py 2025-08-14T21:42:11.5763121Z 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 2025-08-14T21:42:11.5763550Z 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 2025-08-14T21:42:11.5764018Z 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 2025-08-14T21:42:11.5764529Z 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 2025-08-14T21:42:11.5765015Z 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 2025-08-14T21:42:11.5765473Z 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 2025-08-14T21:42:11.5765857Z copying fbgemm_gpu/sll/triton/common.py -> _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/triton/common.py 2025-08-14T21:42:11.5766204Z 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 2025-08-14T21:42:11.5767852Z 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 2025-08-14T21:42:11.5768115Z 2025-08-14T21:42:11.5919752Z INFO:root:running bdist_wheel 2025-08-14T21:42:11.5961726Z INFO:root:running build 2025-08-14T21:42:11.5962604Z INFO:root:running build_py 2025-08-14T21:42:11.5965163Z INFO:root:creating _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu 2025-08-14T21:42:11.5965627Z 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 2025-08-14T21:42:11.5966386Z 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 2025-08-14T21:42:11.5967149Z 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 2025-08-14T21:42:11.5968603Z 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 2025-08-14T21:42:11.5969075Z 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 2025-08-14T21:42:11.5971353Z 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 2025-08-14T21:42:11.5971841Z 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 2025-08-14T21:42:11.5972343Z 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 2025-08-14T21:42:11.5972826Z 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 2025-08-14T21:42:11.5973327Z 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 2025-08-14T21:42:11.5973816Z 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 2025-08-14T21:42:11.5974278Z 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 2025-08-14T21:42:11.5974717Z 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 2025-08-14T21:42:11.5975203Z 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 2025-08-14T21:42:11.5975707Z 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 2025-08-14T21:42:11.5976190Z 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 2025-08-14T21:42:11.5976762Z 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 2025-08-14T21:42:11.5977209Z 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 2025-08-14T21:42:11.5977676Z 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 2025-08-14T21:42:11.5978147Z 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 2025-08-14T21:42:11.5980051Z 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 2025-08-14T21:42:11.5980504Z 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 2025-08-14T21:42:11.5980860Z INFO:root:creating _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/tbe 2025-08-14T21:42:11.5981227Z 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 2025-08-14T21:42:11.5981586Z INFO:root:creating _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/config 2025-08-14T21:42:11.5981959Z 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 2025-08-14T21:42:11.5982428Z 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 2025-08-14T21:42:11.5982799Z INFO:root:creating _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/triton 2025-08-14T21:42:11.5983193Z 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 2025-08-14T21:42:11.5983662Z 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 2025-08-14T21:42:11.5985464Z 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 2025-08-14T21:42:11.5985935Z 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 2025-08-14T21:42:11.5986304Z INFO:root:creating _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/utils 2025-08-14T21:42:11.5986769Z 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 2025-08-14T21:42:11.5987281Z 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 2025-08-14T21:42:11.5987736Z 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 2025-08-14T21:42:11.5988191Z 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 2025-08-14T21:42:11.5988576Z INFO:root:creating _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/quantize 2025-08-14T21:42:11.5988955Z 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 2025-08-14T21:42:11.5989455Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/quantize/quantize_ops.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/quantize 2025-08-14T21:42:11.5991885Z INFO:root:creating _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/docs 2025-08-14T21:42:11.5992318Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/docs/permute_pooled_embedding_ops.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/docs 2025-08-14T21:42:11.5992820Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/docs/merge_pooled_embedding_ops.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/docs 2025-08-14T21:42:11.5993297Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/docs/examples.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/docs 2025-08-14T21:42:11.5993747Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/docs/__init__.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/docs 2025-08-14T21:42:11.5994208Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/docs/quantize_ops.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/docs 2025-08-14T21:42:11.5994665Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/docs/version.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/docs 2025-08-14T21:42:11.5995113Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/docs/common.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/docs 2025-08-14T21:42:11.5995573Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/docs/sparse_ops.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/docs 2025-08-14T21:42:11.5996063Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/docs/jagged_tensor_ops.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/docs 2025-08-14T21:42:11.5996536Z INFO:root:creating _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/sll 2025-08-14T21:42:11.5996884Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/sll/__init__.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/sll 2025-08-14T21:42:11.5997543Z INFO:root:creating _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/tbe/bench 2025-08-14T21:42:11.5997943Z INFO:root:copying _skbuild/linux-x86_64-3.10/cmake-install/fbgemm_gpu/tbe/bench/tbe_data_config.py -> _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/tbe/bench 2025-08-14T21:42:11.5998568Z INFO:root:copying 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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 2025-08-14T21:42:11.8359319Z 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 2025-08-14T21:42:11.8359917Z INFO:root:creating _skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/split_embedding_optimizer_codegen 2025-08-14T21:42:11.8360442Z 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 2025-08-14T21:42:11.8361104Z 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_skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu 2025-08-14T21:42:11.8442538Z 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 2025-08-14T21:42:11.8443023Z 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 2025-08-14T21:42:11.8443448Z 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 2025-08-14T21:42:11.8443920Z 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 2025-08-14T21:42:11.8444417Z INFO:root:copying 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_skbuild/linux-x86_64-3.10/setuptools/lib.linux-x86_64-cpython-310/fbgemm_gpu/sll/triton 2025-08-14T21:42:11.8501444Z INFO:skbuild:copied 91 files 2025-08-14T21:42:11.8501803Z INFO:root:running build_ext 2025-08-14T21:42:11.8504412Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-08-14T21:42:11.8504739Z !! 2025-08-14T21:42:11.8510184Z 2025-08-14T21:42:11.8510371Z ******************************************************************************** 2025-08-14T21:42:11.8510527Z Please avoid running ``setup.py`` directly. 2025-08-14T21:42:11.8510684Z Instead, use pypa/build, pypa/installer or other 2025-08-14T21:42:11.8510819Z standards-based tools. 2025-08-14T21:42:11.8510888Z 2025-08-14T21:42:11.8510988Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-08-14T21:42:11.8511157Z or your builds will no longer be supported. 2025-08-14T21:42:11.8511241Z 2025-08-14T21:42:11.8511375Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-08-14T21:42:11.8511561Z ******************************************************************************** 2025-08-14T21:42:11.8511654Z 2025-08-14T21:42:11.8511685Z !! 2025-08-14T21:42:11.8511774Z self.initialize_options() 2025-08-14T21:42:11.8511945Z INFO:root:installing to _skbuild/linux-x86_64-3.10/setuptools/bdist.linux-x86_64/wheel 2025-08-14T21:42:11.8531966Z INFO:root:running install 2025-08-14T21:42:11.8532638Z INFO:root:running install_lib 2025-08-14T21:42:11.8533051Z INFO:root:creating _skbuild/linux-x86_64-3.10/setuptools/bdist.linux-x86_64/wheel 2025-08-14T21:42:11.8533358Z INFO:root:creating _skbuild/linux-x86_64-3.10/setuptools/bdist.linux-x86_64/wheel/fbgemm_gpu 2025-08-14T21:42:11.8533834Z 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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INFO:root:Copying fbgemm_gpu_nightly_rocm.egg-info to _skbuild/linux-x86_64-3.10/setuptools/bdist.linux-x86_64/wheel/./fbgemm_gpu_nightly_rocm-2025.8.14-py3.10.egg-info 2025-08-14T21:42:12.1118154Z INFO:root:running install_scripts 2025-08-14T21:42:12.1118446Z INFO:skbuild:copied 0 files 2025-08-14T21:42:13.8007807Z ╒═════════╤════════════════════╕ 2025-08-14T21:42:13.8008179Z │ │ Version │ 2025-08-14T21:42:13.8008391Z ╞═════════╪════════════════════╡ 2025-08-14T21:42:13.8008603Z │ PyTorch │ 2.9.0a0+git1fc683c │ 2025-08-14T21:42:13.8015479Z ╘═════════╧════════════════════╛ 2025-08-14T21:42:13.8062973Z INFO:root:creating _skbuild/linux-x86_64-3.10/setuptools/bdist.linux-x86_64/wheel/fbgemm_gpu_nightly_rocm-2025.8.14.dist-info/WHEEL 2025-08-14T21:42:13.8065472Z INFO:wheel:creating 'dist/fbgemm_gpu_nightly_rocm-2025.8.14-cp310-cp310-linux_x86_64.whl' and adding '_skbuild/linux-x86_64-3.10/setuptools/bdist.linux-x86_64/wheel' to it 2025-08-14T21:42:13.8067922Z INFO:wheel:adding 'fbgemm_gpu/__init__.py' 2025-08-14T21:42:13.8233519Z INFO:wheel:adding 'fbgemm_gpu/asmjit.so' 2025-08-14T21:42:13.8235272Z INFO:wheel:adding 'fbgemm_gpu/batched_unary_embeddings_ops.py' 2025-08-14T21:42:13.8235837Z INFO:wheel:adding 'fbgemm_gpu/enums.py' 2025-08-14T21:42:13.9162486Z INFO:wheel:adding 'fbgemm_gpu/fbgemm.so' 2025-08-14T21:42:13.9197220Z INFO:wheel:adding 'fbgemm_gpu/fbgemm_gpu_config.so' 2025-08-14T21:42:13.9260084Z INFO:wheel:adding 'fbgemm_gpu/fbgemm_gpu_embedding_inplace_ops.so' 2025-08-14T21:42:14.2021786Z INFO:wheel:adding 'fbgemm_gpu/fbgemm_gpu_py.so' 2025-08-14T21:42:14.2176666Z INFO:wheel:adding 'fbgemm_gpu/fbgemm_gpu_sparse_async_cumsum.so' 2025-08-14T21:42:14.2650792Z INFO:wheel:adding 'fbgemm_gpu/fbgemm_gpu_tbe_cache.so' 2025-08-14T21:42:14.2897224Z INFO:wheel:adding 'fbgemm_gpu/fbgemm_gpu_tbe_common.so' 2025-08-14T21:42:14.3295431Z INFO:wheel:adding 'fbgemm_gpu/fbgemm_gpu_tbe_index_select.so' 2025-08-14T21:42:15.6360180Z INFO:wheel:adding 'fbgemm_gpu/fbgemm_gpu_tbe_inference.so' 2025-08-14T21:42:15.6933442Z INFO:wheel:adding 'fbgemm_gpu/fbgemm_gpu_tbe_optimizers.so' 2025-08-14T21:42:18.2239277Z INFO:wheel:adding 'fbgemm_gpu/fbgemm_gpu_tbe_training_backward.so' 2025-08-14T21:42:18.3990326Z INFO:wheel:adding 'fbgemm_gpu/fbgemm_gpu_tbe_training_backward_dense.so' 2025-08-14T21:42:18.6689185Z INFO:wheel:adding 'fbgemm_gpu/fbgemm_gpu_tbe_training_backward_gwd.so' 2025-08-14T21:42:18.9150018Z INFO:wheel:adding 'fbgemm_gpu/fbgemm_gpu_tbe_training_backward_pt2.so' 2025-08-14T21:42:19.0452355Z INFO:wheel:adding 'fbgemm_gpu/fbgemm_gpu_tbe_training_backward_split_host.so' 2025-08-14T21:42:19.6269651Z INFO:wheel:adding 'fbgemm_gpu/fbgemm_gpu_tbe_training_backward_vbe.so' 2025-08-14T21:42:21.2689866Z INFO:wheel:adding 'fbgemm_gpu/fbgemm_gpu_tbe_training_forward.so' 2025-08-14T21:42:21.3765027Z INFO:wheel:adding 'fbgemm_gpu/fbgemm_gpu_tbe_utils.so' 2025-08-14T21:42:21.3783422Z INFO:wheel:adding 'fbgemm_gpu/metrics.py' 2025-08-14T21:42:21.3783766Z INFO:wheel:adding 'fbgemm_gpu/permute_pooled_embedding_modules.py' 2025-08-14T21:42:21.3784105Z INFO:wheel:adding 'fbgemm_gpu/permute_pooled_embedding_modules_split.py' 2025-08-14T21:42:21.3785457Z INFO:wheel:adding 'fbgemm_gpu/quantize_comm.py' 2025-08-14T21:42:21.3786112Z INFO:wheel:adding 'fbgemm_gpu/quantize_utils.py' 2025-08-14T21:42:21.3786295Z INFO:wheel:adding 'fbgemm_gpu/runtime_monitor.py' 2025-08-14T21:42:21.3790717Z INFO:wheel:adding 'fbgemm_gpu/sparse_ops.py' 2025-08-14T21:42:21.3793012Z INFO:wheel:adding 'fbgemm_gpu/split_embedding_configs.py' 2025-08-14T21:42:21.3794424Z INFO:wheel:adding 'fbgemm_gpu/split_embedding_inference_converter.py' 2025-08-14T21:42:21.3794829Z INFO:wheel:adding 'fbgemm_gpu/split_embedding_optimizer_ops.py' 2025-08-14T21:42:21.3795601Z INFO:wheel:adding 'fbgemm_gpu/split_embedding_utils.py' 2025-08-14T21:42:21.3797883Z INFO:wheel:adding 'fbgemm_gpu/split_table_batched_embeddings_ops.py' 2025-08-14T21:42:21.3799132Z 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INFO:wheel:adding 'fbgemm_gpu/sll/triton/triton_jagged_dense_flash_attention.py' 2025-08-14T21:42:21.3876657Z INFO:wheel:adding 'fbgemm_gpu/sll/triton/triton_jagged_flash_attention_basic.py' 2025-08-14T21:42:21.3877245Z INFO:wheel:adding 'fbgemm_gpu/sll/triton/triton_jagged_self_substraction_jagged_out.py' 2025-08-14T21:42:21.3879670Z INFO:wheel:adding 'fbgemm_gpu/sll/triton/triton_jagged_softmax.py' 2025-08-14T21:42:21.3882542Z INFO:wheel:adding 'fbgemm_gpu/sll/triton/triton_multi_head_jagged_flash_attention.py' 2025-08-14T21:42:21.3883079Z INFO:wheel:adding 'fbgemm_gpu/split_embedding_codegen_lookup_invokers/__init__.py' 2025-08-14T21:42:21.3884727Z INFO:wheel:adding 'fbgemm_gpu/split_embedding_codegen_lookup_invokers/lookup_adagrad.py' 2025-08-14T21:42:21.3888537Z INFO:wheel:adding 'fbgemm_gpu/split_embedding_codegen_lookup_invokers/lookup_adam.py' 2025-08-14T21:42:21.3888941Z INFO:wheel:adding 'fbgemm_gpu/split_embedding_codegen_lookup_invokers/lookup_args.py' 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2025-08-14T21:42:21.3899122Z INFO:wheel:adding 'fbgemm_gpu/split_embedding_codegen_lookup_invokers/lookup_rowwise_adagrad_with_counter.py' 2025-08-14T21:42:21.3901655Z INFO:wheel:adding 'fbgemm_gpu/split_embedding_codegen_lookup_invokers/lookup_sgd.py' 2025-08-14T21:42:21.3902025Z INFO:wheel:adding 'fbgemm_gpu/split_embedding_optimizer_codegen/optimizer_args.py' 2025-08-14T21:42:21.3902451Z INFO:wheel:adding 'fbgemm_gpu/split_embedding_optimizer_codegen/split_embedding_optimizer_rowwise_adagrad.py' 2025-08-14T21:42:21.3902819Z INFO:wheel:adding 'fbgemm_gpu/tbe/__init__.py' 2025-08-14T21:42:21.3903382Z INFO:wheel:adding 'fbgemm_gpu/tbe/bench/__init__.py' 2025-08-14T21:42:21.3904655Z INFO:wheel:adding 'fbgemm_gpu/tbe/bench/bench_config.py' 2025-08-14T21:42:21.3907453Z INFO:wheel:adding 'fbgemm_gpu/tbe/bench/bench_runs.py' 2025-08-14T21:42:21.3908411Z INFO:wheel:adding 'fbgemm_gpu/tbe/bench/eeg_cli.py' 2025-08-14T21:42:21.3909362Z INFO:wheel:adding 'fbgemm_gpu/tbe/bench/embedding_ops_common_config.py' 2025-08-14T21:42:21.3909889Z INFO:wheel:adding 'fbgemm_gpu/tbe/bench/eval_compression.py' 2025-08-14T21:42:21.3912336Z INFO:wheel:adding 'fbgemm_gpu/tbe/bench/reporter.py' 2025-08-14T21:42:21.3912595Z INFO:wheel:adding 'fbgemm_gpu/tbe/bench/tbe_data_config.py' 2025-08-14T21:42:21.3913478Z INFO:wheel:adding 'fbgemm_gpu/tbe/bench/tbe_data_config_loader.py' 2025-08-14T21:42:21.3914628Z INFO:wheel:adding 'fbgemm_gpu/tbe/bench/tbe_data_config_param_models.py' 2025-08-14T21:42:21.3915086Z INFO:wheel:adding 'fbgemm_gpu/tbe/bench/utils.py' 2025-08-14T21:42:21.3916223Z INFO:wheel:adding 'fbgemm_gpu/tbe/cache/__init__.py' 2025-08-14T21:42:21.3918956Z INFO:wheel:adding 'fbgemm_gpu/tbe/cache/kv_embedding_ops_inference.py' 2025-08-14T21:42:21.3919270Z INFO:wheel:adding 'fbgemm_gpu/tbe/cache/split_embeddings_cache_ops.py' 2025-08-14T21:42:21.3919872Z INFO:wheel:adding 'fbgemm_gpu/tbe/ssd/__init__.py' 2025-08-14T21:42:21.3920702Z INFO:wheel:adding 'fbgemm_gpu/tbe/ssd/common.py' 2025-08-14T21:42:21.3925970Z INFO:wheel:adding 'fbgemm_gpu/tbe/ssd/inference.py' 2025-08-14T21:42:21.3947532Z INFO:wheel:adding 'fbgemm_gpu/tbe/ssd/training.py' 2025-08-14T21:42:21.3948905Z INFO:wheel:adding 'fbgemm_gpu/tbe/ssd/utils/__init__.py' 2025-08-14T21:42:21.3950430Z INFO:wheel:adding 'fbgemm_gpu/tbe/ssd/utils/partially_materialized_tensor.py' 2025-08-14T21:42:21.3950828Z INFO:wheel:adding 'fbgemm_gpu/tbe/stats/__init__.py' 2025-08-14T21:42:21.3952719Z INFO:wheel:adding 'fbgemm_gpu/tbe/stats/bench_params_reporter.py' 2025-08-14T21:42:21.3953121Z INFO:wheel:adding 'fbgemm_gpu/tbe/utils/__init__.py' 2025-08-14T21:42:21.3953987Z INFO:wheel:adding 'fbgemm_gpu/tbe/utils/common.py' 2025-08-14T21:42:21.3954570Z INFO:wheel:adding 'fbgemm_gpu/tbe/utils/offsets.py' 2025-08-14T21:42:21.3955942Z INFO:wheel:adding 'fbgemm_gpu/tbe/utils/quantize.py' 2025-08-14T21:42:21.3959517Z INFO:wheel:adding 'fbgemm_gpu/tbe/utils/requests.py' 2025-08-14T21:42:21.3960833Z INFO:wheel:adding 'fbgemm_gpu/triton/__init__.py' 2025-08-14T21:42:21.3961111Z INFO:wheel:adding 'fbgemm_gpu/triton/common.py' 2025-08-14T21:42:21.3971050Z INFO:wheel:adding 'fbgemm_gpu/triton/quantize.py' 2025-08-14T21:42:21.3971307Z INFO:wheel:adding 'fbgemm_gpu/triton/quantize_ref.py' 2025-08-14T21:42:21.3971519Z INFO:wheel:adding 'fbgemm_gpu/triton/jagged/__init__.py' 2025-08-14T21:42:21.3972884Z INFO:wheel:adding 'fbgemm_gpu/triton/jagged/triton_jagged_tensor_ops.py' 2025-08-14T21:42:21.3973383Z INFO:wheel:adding 'fbgemm_gpu/utils/__init__.py' 2025-08-14T21:42:21.3974877Z INFO:wheel:adding 'fbgemm_gpu/utils/filestore.py' 2025-08-14T21:42:21.3975036Z INFO:wheel:adding 'fbgemm_gpu/utils/loader.py' 2025-08-14T21:42:21.3976274Z INFO:wheel:adding 'fbgemm_gpu/utils/torch_library.py' 2025-08-14T21:42:21.3978004Z INFO:wheel:adding 'fbgemm_gpu_nightly_rocm-2025.8.14.dist-info/METADATA' 2025-08-14T21:42:21.3978217Z INFO:wheel:adding 'fbgemm_gpu_nightly_rocm-2025.8.14.dist-info/WHEEL' 2025-08-14T21:42:21.3978436Z INFO:wheel:adding 'fbgemm_gpu_nightly_rocm-2025.8.14.dist-info/top_level.txt' 2025-08-14T21:42:21.3981852Z INFO:wheel:adding 'fbgemm_gpu_nightly_rocm-2025.8.14.dist-info/RECORD' 2025-08-14T21:42:21.3983649Z INFO:root:removing _skbuild/linux-x86_64-3.10/setuptools/bdist.linux-x86_64/wheel 2025-08-14T21:42:21.8127613Z + popd 2025-08-14T21:42:21.8127902Z ~/pytorch 2025-08-14T21:42:21.8128665Z + mkdir -p dist/fbgemm_gpu 2025-08-14T21:42:21.8145863Z + cp fbgemm/fbgemm_gpu/dist/fbgemm_gpu_nightly_rocm-2025.8.14-cp310-cp310-linux_x86_64.whl dist/fbgemm_gpu 2025-08-14T21:42:21.8487915Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:42:21.8488358Z + pip_install_whl dist/fbgemm_gpu/fbgemm_gpu_nightly_rocm-2025.8.14-cp310-cp310-linux_x86_64.whl 2025-08-14T21:42:21.8488696Z + args=('dist/fbgemm_gpu/fbgemm_gpu_nightly_rocm-2025.8.14-cp310-cp310-linux_x86_64.whl') 2025-08-14T21:42:21.8494733Z + local args 2025-08-14T21:42:21.8494931Z + [[ dist/fbgemm_gpu/fbgemm_gpu_nightly_rocm-2025.8.14-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-08-14T21:42:21.8495140Z + for path in "${args[@]}" 2025-08-14T21:42:21.8495342Z + echo 'Installing dist/fbgemm_gpu/fbgemm_gpu_nightly_rocm-2025.8.14-cp310-cp310-linux_x86_64.whl' 2025-08-14T21:42:21.8495626Z Installing dist/fbgemm_gpu/fbgemm_gpu_nightly_rocm-2025.8.14-cp310-cp310-linux_x86_64.whl 2025-08-14T21:42:21.8495950Z + python3 -mpip install --no-index --no-deps dist/fbgemm_gpu/fbgemm_gpu_nightly_rocm-2025.8.14-cp310-cp310-linux_x86_64.whl 2025-08-14T21:42:22.0150226Z Processing ./dist/fbgemm_gpu/fbgemm_gpu_nightly_rocm-2025.8.14-cp310-cp310-linux_x86_64.whl 2025-08-14T21:42:22.0718750Z Installing collected packages: fbgemm-gpu-nightly-rocm 2025-08-14T21:42:23.1952211Z Successfully installed fbgemm-gpu-nightly-rocm-2025.8.14 2025-08-14T21:42:23.2198005Z + rm -rf fbgemm 2025-08-14T21:42:23.9096136Z + PYTHONPATH=/torchbench 2025-08-14T21:42:23.9096518Z + test_dynamo_benchmark torchbench 0 2025-08-14T21:42:23.9099938Z ++ pwd 2025-08-14T21:42:23.9101705Z + TEST_REPORTS_DIR=/var/lib/jenkins/pytorch/test/test-reports 2025-08-14T21:42:23.9101994Z + local suite=torchbench 2025-08-14T21:42:23.9102160Z + shift 2025-08-14T21:42:23.9102300Z + local shard_id=0 2025-08-14T21:42:23.9102427Z + shift 2025-08-14T21:42:23.9102623Z + [[ dynamo_eager_torchbench == *perf_compare* ]] 2025-08-14T21:42:23.9102832Z + [[ dynamo_eager_torchbench == *perf* ]] 2025-08-14T21:42:23.9109375Z + [[ dynamo_eager_torchbench == *cpu* ]] 2025-08-14T21:42:23.9109595Z + [[ dynamo_eager_torchbench == *aot_inductor* ]] 2025-08-14T21:42:23.9109807Z + [[ dynamo_eager_torchbench == *max_autotune_inductor* ]] 2025-08-14T21:42:23.9110390Z + test_single_dynamo_benchmark inference torchbench 0 --inference --bfloat16 2025-08-14T21:42:23.9110621Z ++ pwd 2025-08-14T21:42:23.9111973Z + TEST_REPORTS_DIR=/var/lib/jenkins/pytorch/test/test-reports 2025-08-14T21:42:23.9112209Z + mkdir -p /var/lib/jenkins/pytorch/test/test-reports 2025-08-14T21:42:23.9128358Z + local name=inference 2025-08-14T21:42:23.9128458Z + shift 2025-08-14T21:42:23.9128555Z + local suite=torchbench 2025-08-14T21:42:23.9128677Z + shift 2025-08-14T21:42:23.9130980Z + local shard_id=0 2025-08-14T21:42:23.9131077Z + shift 2025-08-14T21:42:23.9131158Z + partition_flags=() 2025-08-14T21:42:23.9131259Z + local partition_flags 2025-08-14T21:42:23.9131361Z + [[ -n 2 ]] 2025-08-14T21:42:23.9131456Z + [[ -n 0 ]] 2025-08-14T21:42:23.9131619Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-08-14T21:42:23.9131820Z + [[ dynamo_eager_torchbench == *perf_compare* ]] 2025-08-14T21:42:23.9131960Z + [[ dynamo_eager_torchbench == *perf* ]] 2025-08-14T21:42:23.9132096Z + [[ dynamo_eager_torchbench == *_avx2* ]] 2025-08-14T21:42:23.9133580Z + [[ dynamo_eager_torchbench == *_avx512* ]] 2025-08-14T21:42:23.9134052Z + python benchmarks/dynamo/torchbench.py --ci --accuracy --timing --explain --print-compilation-time --backend eager --device cuda --inference --bfloat16 --total-partitions 2 --partition-id 0 --output /var/lib/jenkins/pytorch/test/test-reports/inference_torchbench.csv 2025-08-14T21:42:28.2543393Z 2025-08-14T21:42:28.3380985Z loading model: 0it [00:00, ?it/s]ERROR:root:Could not load the library 'fbgemm_gpu_py.so'! 2025-08-14T21:42:28.3381513Z 2025-08-14T21:42:28.3381523Z 2025-08-14T21:42:28.3382513Z Could not load this library: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/fbgemm_gpu/fbgemm_gpu_py.so 2025-08-14T21:42:28.3383282Z 2025-08-14T21:42:28.3383289Z 2025-08-14T21:42:28.3383299Z 2025-08-14T21:42:28.3383308Z 2025-08-14T21:42:28.3383504Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:42:28.3384039Z cuda eval torchrec_dlrm 2025-08-14T21:42:28.3388595Z Traceback (most recent call last): 2025-08-14T21:42:28.3397242Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_ops.py", line 1487, in load_library 2025-08-14T21:42:28.3397570Z ctypes.CDLL(path) 2025-08-14T21:42:28.3397814Z File "/opt/conda/envs/py_3.10/lib/python3.10/ctypes/__init__.py", line 374, in __init__ 2025-08-14T21:42:28.3398090Z self._handle = _dlopen(self._name, mode) 2025-08-14T21:42:28.3398503Z OSError: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/fbgemm_gpu/fbgemm_gpu_py.so: undefined symbol: _ZN3tbb6detail2r117deallocate_memoryEPv 2025-08-14T21:42:28.3398850Z 2025-08-14T21:42:28.3398979Z The above exception was the direct cause of the following exception: 2025-08-14T21:42:28.3399302Z 2025-08-14T21:42:28.3399373Z Traceback (most recent call last): 2025-08-14T21:42:28.3399742Z File "/var/lib/jenkins/pytorch/benchmarks/dynamo/common.py", line 4124, in run 2025-08-14T21:42:28.3400002Z ) = runner.load_model( 2025-08-14T21:42:28.3400270Z File "/var/lib/jenkins/pytorch/benchmarks/dynamo/torchbench.py", line 259, in load_model 2025-08-14T21:42:28.3400559Z module = importlib.import_module(c) 2025-08-14T21:42:28.3400860Z File "/opt/conda/envs/py_3.10/lib/python3.10/importlib/__init__.py", line 126, in import_module 2025-08-14T21:42:28.3401197Z return _bootstrap._gcd_import(name[level:], package, level) 2025-08-14T21:42:28.3403573Z File "", line 1050, in _gcd_import 2025-08-14T21:42:28.3403781Z File "", line 1027, in _find_and_load 2025-08-14T21:42:28.3403997Z File "", line 1006, in _find_and_load_unlocked 2025-08-14T21:42:28.3404213Z File "", line 688, in _load_unlocked 2025-08-14T21:42:28.3404426Z File "", line 883, in exec_module 2025-08-14T21:42:28.3404650Z File "", line 241, in _call_with_frames_removed 2025-08-14T21:42:28.3405055Z File "/torchbench/torchbenchmark/canary_models/torchrec_dlrm/__init__.py", line 7, in 2025-08-14T21:42:28.3405297Z from .data.dlrm_dataloader import get_dataloader 2025-08-14T21:42:28.3405554Z File "/torchbench/torchbenchmark/canary_models/torchrec_dlrm/data/dlrm_dataloader.py", line 13, in 2025-08-14T21:42:28.3405807Z from torchrec.datasets.criteo import ( 2025-08-14T21:42:28.3406037Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchrec/__init__.py", line 8, in 2025-08-14T21:42:28.3407672Z import torchrec.distributed # noqa 2025-08-14T21:42:28.3407932Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchrec/distributed/__init__.py", line 36, in 2025-08-14T21:42:28.3408257Z from torchrec.distributed.model_parallel import DistributedModelParallel # noqa 2025-08-14T21:42:28.3408593Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchrec/distributed/model_parallel.py", line 21, in 2025-08-14T21:42:28.3408874Z from torchrec.distributed.planner import ( 2025-08-14T21:42:28.3409148Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchrec/distributed/planner/__init__.py", line 22, in 2025-08-14T21:42:28.3409488Z from torchrec.distributed.planner.planners import EmbeddingShardingPlanner # noqa 2025-08-14T21:42:28.3409830Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchrec/distributed/planner/planners.py", line 19, in 2025-08-14T21:42:28.3410150Z from torchrec.distributed.planner.constants import BATCH_SIZE, MAX_SIZE 2025-08-14T21:42:28.3410473Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchrec/distributed/planner/constants.py", line 10, in 2025-08-14T21:42:28.3410829Z from torchrec.distributed.embedding_types import EmbeddingComputeKernel 2025-08-14T21:42:28.3412345Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchrec/distributed/embedding_types.py", line 14, in 2025-08-14T21:42:28.3412679Z from fbgemm_gpu.split_table_batched_embeddings_ops_training import EmbeddingLocation 2025-08-14T21:42:28.3412978Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fbgemm_gpu/__init__.py", line 90, in 2025-08-14T21:42:28.3413217Z _load_library(f"{library}.so", __variant__ == "docs") 2025-08-14T21:42:28.3413439Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fbgemm_gpu/__init__.py", line 22, in _load_library 2025-08-14T21:42:28.3413636Z raise error 2025-08-14T21:42:28.3413816Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fbgemm_gpu/__init__.py", line 17, in _load_library 2025-08-14T21:42:28.3414066Z torch.ops.load_library(os.path.join(os.path.dirname(__file__), filename)) 2025-08-14T21:42:28.3414331Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_ops.py", line 1489, in load_library 2025-08-14T21:42:28.3414549Z raise OSError(f"Could not load this library: {path}") from e 2025-08-14T21:42:28.3415789Z OSError: Could not load this library: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/fbgemm_gpu/fbgemm_gpu_py.so 2025-08-14T21:42:28.3415971Z 2025-08-14T21:42:28.3416013Z eager_fail_to_run 2025-08-14T21:42:30.6116323Z 2025-08-14T21:42:35.3551338Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:42:35.3551581Z loading model: 0it [00:04, ?it/s] 2025-08-14T21:42:35.3586046Z cuda eval BERT_pytorch 2025-08-14T21:42:37.3441849Z Compilation time (from dynamo_timed): 1.678322257 2025-08-14T21:42:37.3442297Z pass 2025-08-14T21:42:37.3455259Z TIMING: backend_compile:0.00023 gc:0.00118 entire_frame_compile:1.67832 total_wall_time:1.67832 2025-08-14T21:42:37.3455757Z STATS: call_* op count: 543 | FakeTensor.__torch_dispatch__:17 | FakeTensorMode.__torch_dispatch__:1620 2025-08-14T21:42:37.3456133Z Dynamo produced 1 graphs covering 543 ops with 0 graph breaks (0 unique) 2025-08-14T21:42:40.1856069Z 2025-08-14T21:43:10.2268836Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:43:10.2273380Z loading model: 0it [00:30, ?it/s] 2025-08-14T21:43:10.2297711Z cuda eval Background_Matting 2025-08-14T21:43:10.2304092Z Compilation time (from dynamo_timed): 0 2025-08-14T21:43:10.2305539Z pass_due_to_skip 2025-08-14T21:43:10.2361721Z TIMING: total_wall_time:0 2025-08-14T21:43:10.2362198Z STATS: call_* op count: 0 2025-08-14T21:43:10.2362507Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique) 2025-08-14T21:43:13.0203468Z 2025-08-14T21:43:32.3917935Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:43:32.3920929Z loading model: 0it [00:19, ?it/s] 2025-08-14T21:43:32.3932651Z cuda eval LearningToPaint 2025-08-14T21:43:32.3995218Z [W814 21:43:32.196522020 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:32.4642323Z [W814 21:43:32.261074570 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:32.4654228Z [W814 21:43:32.261452253 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:32.4654542Z [W814 21:43:32.261670069 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:32.4654841Z [W814 21:43:32.261936725 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:32.4655129Z [W814 21:43:32.262139751 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:32.4655416Z [W814 21:43:32.262351947 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:32.4655706Z [W814 21:43:32.262569903 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:32.4656267Z [W814 21:43:32.262770680 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:32.4657953Z [W814 21:43:32.262984146 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:32.4660063Z [W814 21:43:32.263188933 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:32.4662102Z [W814 21:43:32.263420498 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:32.4667410Z [W814 21:43:32.263724504 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:32.4668111Z [W814 21:43:32.264008349 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:32.4671359Z [W814 21:43:32.264323163 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:32.4674309Z [W814 21:43:32.264609378 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:32.4677816Z [W814 21:43:32.264916773 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:32.4682402Z [W814 21:43:32.265286046 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:32.4684968Z [W814 21:43:32.265641460 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:32.4688324Z [W814 21:43:32.265994523 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:32.4691605Z [W814 21:43:32.266315059 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:32.5224674Z [W814 21:43:32.319332210 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:32.5229120Z [W814 21:43:32.319898869 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:32.5234243Z [W814 21:43:32.320178405 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:32.5234524Z [W814 21:43:32.320388891 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:32.5234782Z [W814 21:43:32.320622077 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:32.5236344Z [W814 21:43:32.320811864 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:32.5239999Z [W814 21:43:32.321027550 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:32.5240816Z [W814 21:43:32.321232436 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:32.5242278Z [W814 21:43:32.321429893 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:32.5244228Z [W814 21:43:32.321630459 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:32.5246063Z [W814 21:43:32.321818416 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:32.5248004Z [W814 21:43:32.322029902 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:32.5253879Z [W814 21:43:32.322226308 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:32.5254155Z [W814 21:43:32.322409385 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:32.5254387Z [W814 21:43:32.322607162 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:32.5255512Z [W814 21:43:32.322793269 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:32.5257593Z [W814 21:43:32.322989206 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:32.5259995Z [W814 21:43:32.323211922 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:32.5261857Z [W814 21:43:32.323415648 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:32.5263518Z [W814 21:43:32.323611735 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:32.5265484Z [W814 21:43:32.323809031 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T21:43:33.2130247Z Compilation time (from dynamo_timed): 0.582343062 2025-08-14T21:43:33.2130571Z pass 2025-08-14T21:43:33.2130897Z TIMING: backend_compile:0.00015 gc:0.00034 entire_frame_compile:0.58234 total_wall_time:0.58234 2025-08-14T21:43:33.2131379Z STATS: call_* op count: 71 | FakeTensorMode.__torch_dispatch__:351 | FakeTensor.__torch_dispatch__:2 2025-08-14T21:43:33.2131815Z Dynamo produced 1 graphs covering 71 ops with 0 graph breaks (0 unique) 2025-08-14T21:43:36.5197228Z 2025-08-14T21:43:37.2345207Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/vgg16-397923af.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/vgg16-397923af.pth 2025-08-14T21:43:37.3117924Z 2025-08-14T21:43:37.3118003Z 2025-08-14T21:43:37.4123272Z 0% 0.00/528M [00:00", line 1050, in _gcd_import 2025-08-14T21:50:14.1867557Z File "", line 1027, in _find_and_load 2025-08-14T21:50:14.1867824Z File "", line 1006, in _find_and_load_unlocked 2025-08-14T21:50:14.1868076Z File "", line 688, in _load_unlocked 2025-08-14T21:50:14.1868308Z File "", line 883, in exec_module 2025-08-14T21:50:14.1868517Z File "", line 241, in _call_with_frames_removed 2025-08-14T21:50:14.1868768Z File "/torchbench/torchbenchmark/canary_models/torchrec_dlrm/__init__.py", line 7, in 2025-08-14T21:50:14.1868992Z from .data.dlrm_dataloader import get_dataloader 2025-08-14T21:50:14.1869308Z File "/torchbench/torchbenchmark/canary_models/torchrec_dlrm/data/dlrm_dataloader.py", line 13, in 2025-08-14T21:50:14.1869545Z from torchrec.datasets.criteo import ( 2025-08-14T21:50:14.1869757Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchrec/__init__.py", line 8, in 2025-08-14T21:50:14.1871629Z import torchrec.distributed # noqa 2025-08-14T21:50:14.1871879Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchrec/distributed/__init__.py", line 36, in 2025-08-14T21:50:14.1872175Z from torchrec.distributed.model_parallel import DistributedModelParallel # noqa 2025-08-14T21:50:14.1872486Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchrec/distributed/model_parallel.py", line 21, in 2025-08-14T21:50:14.1872742Z from torchrec.distributed.planner import ( 2025-08-14T21:50:14.1872997Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchrec/distributed/planner/__init__.py", line 22, in 2025-08-14T21:50:14.1873313Z from torchrec.distributed.planner.planners import EmbeddingShardingPlanner # noqa 2025-08-14T21:50:14.1873630Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchrec/distributed/planner/planners.py", line 19, in 2025-08-14T21:50:14.1873923Z from torchrec.distributed.planner.constants import BATCH_SIZE, MAX_SIZE 2025-08-14T21:50:14.1874220Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchrec/distributed/planner/constants.py", line 10, in 2025-08-14T21:50:14.1874515Z from torchrec.distributed.embedding_types import EmbeddingComputeKernel 2025-08-14T21:50:14.1874842Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchrec/distributed/embedding_types.py", line 14, in 2025-08-14T21:50:14.1875146Z from fbgemm_gpu.split_table_batched_embeddings_ops_training import EmbeddingLocation 2025-08-14T21:50:14.1875419Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fbgemm_gpu/__init__.py", line 90, in 2025-08-14T21:50:14.1875666Z _load_library(f"{library}.so", __variant__ == "docs") 2025-08-14T21:50:14.1875912Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fbgemm_gpu/__init__.py", line 22, in _load_library 2025-08-14T21:50:14.1876133Z raise error 2025-08-14T21:50:14.1876351Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fbgemm_gpu/__init__.py", line 17, in _load_library 2025-08-14T21:50:14.1878078Z torch.ops.load_library(os.path.join(os.path.dirname(__file__), filename)) 2025-08-14T21:50:14.1878326Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_ops.py", line 1489, in load_library 2025-08-14T21:50:14.1878552Z raise OSError(f"Could not load this library: {path}") from e 2025-08-14T21:50:14.1878823Z OSError: Could not load this library: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/fbgemm_gpu/fbgemm_gpu_py.so 2025-08-14T21:50:14.1878999Z 2025-08-14T21:50:14.1879036Z eager_fail_to_run 2025-08-14T21:50:16.3913032Z 2025-08-14T21:50:21.9022920Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:50:21.9031919Z loading model: 0it [00:05, ?it/s] 2025-08-14T21:50:21.9032239Z cuda train BERT_pytorch 2025-08-14T21:50:25.1317442Z Compilation time (from dynamo_timed): 2.567748953 2025-08-14T21:50:25.1339123Z pass 2025-08-14T21:50:25.1760155Z TIMING: gc:0.00177 entire_frame_compile:2.56775 backend_compile:0.00028 total_wall_time:2.56775 2025-08-14T21:50:25.1761074Z STATS: call_* op count: 547 | FakeTensor.__torch_dispatch__:37 | FakeTensorMode.__torch_dispatch__:7236 2025-08-14T21:50:25.1761749Z Dynamo produced 2 graphs covering 547 ops with 6 graph breaks (5 unique) 2025-08-14T21:50:27.9259530Z 2025-08-14T22:00:27.5976213Z loading model: 0it [00:00, ?it/s]Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.5980177Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.5981318Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.5982328Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.5983309Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.5984293Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.5992746Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.5993484Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.5994139Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.5994792Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.5995445Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.5996105Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.5996873Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.5997515Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.5997998Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.5998473Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.5998954Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.5999507Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6000090Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6000565Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6001126Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6001605Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6002095Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6002573Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6003080Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6006381Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6007022Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6007509Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6007991Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6008367Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6008743Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6009118Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6009493Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6009869Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6010246Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6010624Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6011001Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6011376Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6011752Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6012127Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6012532Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6012911Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6013287Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6013666Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6014067Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6014448Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6014826Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6015231Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6015611Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6015989Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6016369Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6016901Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6017279Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6017650Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6019578Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6019977Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6020333Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6020689Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6021041Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6021393Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6021746Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6022100Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6022463Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6022816Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6023170Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6023525Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6023901Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6024255Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6024608Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6024960Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6025331Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:00:27.6025684Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8120554Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8123623Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8125237Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8126056Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8134990Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8135857Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8136413Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8137060Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8137963Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8138633Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8139306Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8139862Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8140419Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8140982Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8141541Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8142104Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8142723Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8143217Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8143711Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8144205Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8144699Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8145269Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8145764Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8152079Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8152616Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8153453Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8153936Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8154343Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8154732Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8155151Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8155539Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8155925Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8156314Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8156773Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8157159Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8157553Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8157969Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8158357Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8158743Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8159130Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8159515Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8159988Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8160381Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8160769Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8161159Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8161552Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8161941Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8162331Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8162759Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8163151Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8163538Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8165937Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8166336Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8166772Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8167127Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8167491Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8167866Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8168221Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8168574Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8168928Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8169281Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8169635Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8169994Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8170365Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8170718Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8171077Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8171430Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8171782Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8172137Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8172494Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8172847Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:27.8173199Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6332047Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6332593Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6339992Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6340728Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6341176Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6341629Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6342091Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6342676Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6343122Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6343632Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6344214Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6347199Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6347609Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6347977Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6348342Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6348705Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6349062Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6349420Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6349861Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6350223Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6350655Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6351172Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6351706Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6353958Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6354325Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6354684Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6355038Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6355394Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6355749Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6356125Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6356609Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6356968Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6357328Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6357709Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6358069Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6358433Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6358798Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6359180Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6359546Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6359974Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6360340Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6360702Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6361065Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6361434Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6363477Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6363879Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6364236Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6364591Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6364944Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6365296Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6365652Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6366008Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6366361Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6366809Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6367168Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6367523Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6367927Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6368284Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6368641Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6368996Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6369371Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6369729Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6370083Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6370440Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6370814Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6396262Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6396736Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6397112Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6397481Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6397878Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6398248Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6398641Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6399070Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6399444Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6399813Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6405083Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6405526Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6405884Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6406243Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6406694Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6407055Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6407416Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6407770Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6408167Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6408524Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6408880Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6413721Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6414113Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6414469Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6414829Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6415189Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6415570Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6415929Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6416285Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6416737Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6417090Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6418522Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6418884Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6419264Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6419620Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6419976Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6420330Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6420684Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6421040Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6421397Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6421753Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6422107Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6423456Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6423818Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6424176Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6424561Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6424918Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6425273Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6425627Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6426000Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6426355Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6426766Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6427146Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6428492Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:01:48.6428848Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8442123Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8448885Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8449487Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8450088Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8450653Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8451570Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8452173Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8452716Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8453260Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8453798Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8456918Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8457467Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8458014Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8458555Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8459097Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8459630Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8460162Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8460799Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8461335Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8461867Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8462400Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8463041Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8463586Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8464134Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8464750Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8465297Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8465841Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8466391Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8467027Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8467572Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8468120Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8468668Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8469248Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8469792Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8470337Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8470892Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8471441Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8471987Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8474171Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8474715Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8475250Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8475786Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8476316Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8476984Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8477518Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8478050Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8478581Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8479141Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8479763Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8481767Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8482308Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8482875Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8483407Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8483937Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8484468Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8484996Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8485525Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8486056Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8486713Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8487275Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8489192Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8489728Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8490260Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8490796Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8491331Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8491868Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8492405Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8492940Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8493474Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8494007Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8494572Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:15.8497245Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9091766Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9092201Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9092795Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9093164Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9093533Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9093908Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9094356Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9094727Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9095096Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9100902Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9101284Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9101678Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9102052Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9102537Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9102904Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9103271Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9103637Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9104008Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9104383Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9104758Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9105132Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9105506Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9105876Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9106251Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9108629Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9109099Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9109466Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9109833Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9110200Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9110591Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9110956Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9111319Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9111710Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9112077Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9112447Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9114102Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9114465Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9114825Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9115188Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9115551Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9137673Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9138044Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9138407Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9138782Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9139140Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9141336Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9141733Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9142095Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9142466Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9142827Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9143197Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9143561Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9143964Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9144333Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9144693Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9145062Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9147063Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9147428Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9147789Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9148174Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9148537Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9148904Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9149270Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9149630Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9149989Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9150349Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9150717Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9151098Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9151464Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9151825Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9152185Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9154066Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9154430Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9154802Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9155162Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9155525Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9155889Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9156250Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9156714Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9157080Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9191270Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9193751Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9194192Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9194555Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9194916Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9195275Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9195656Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9196019Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9196386Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9196827Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9197190Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9197548Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9199453Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9199816Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9200209Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9200574Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9200931Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9201290Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9201649Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9202013Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9202370Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9202730Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9203090Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9203455Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9203816Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9204212Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9206034Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9206397Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9206858Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9207274Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9207633Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9208002Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9208363Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9208746Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9209105Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9209467Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9211159Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9211517Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9211879Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:41.9212240Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4300706Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4302171Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4302560Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4302950Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4303330Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4303716Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4311050Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4311451Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4311819Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4312192Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4312563Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4312931Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4313420Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4313785Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4314150Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4314513Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4314952Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4315331Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4315706Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4316084Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4316600Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4316969Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4317341Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4320358Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4320761Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4321124Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4321484Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4321902Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4322260Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4322622Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4322982Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4323343Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4323705Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4324068Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4325969Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4326327Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4326780Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4327139Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4327496Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4327910Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4328270Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4328628Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4329009Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4329404Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4331087Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4331454Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4331863Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4332225Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4332582Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4332940Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4333297Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4333659Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4334019Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4334378Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4334770Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4335133Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4335493Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4337270Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4337647Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4338012Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4338371Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4338729Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4339086Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4339446Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4339803Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4340163Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4340557Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4340918Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4342471Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4342865Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4343225Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:10:59.4343584Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2018979Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2025792Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2027815Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2028395Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2028988Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2029569Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2030144Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2030733Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2031315Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2032018Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2036585Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2037203Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2037769Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2038329Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2038895Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2039590Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2040152Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2040713Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2041275Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2041839Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2042534Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2043108Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2043683Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2044254Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2045255Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2045827Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2046396Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2047540Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2048160Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2051390Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2051951Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2052507Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2053063Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2053618Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2054172Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2054734Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2055364Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2055915Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2056552Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2057104Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2059357Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2059911Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2060462Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2061013Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2061565Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2062117Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2062668Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2063272Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2065787Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2066388Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2068999Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2069624Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2070177Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2070728Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2071280Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2071869Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2072424Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2072977Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2073515Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2074049Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2076791Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2077345Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2077954Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2078492Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2079029Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2079652Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2080186Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2080724Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2081261Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2081798Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2082334Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:08.2084454Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4101404Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4102553Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4103276Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4109857Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4110256Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4110622Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4111093Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4111449Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4111817Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4112241Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4112610Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4112962Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4113317Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4115922Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4116288Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4116768Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4117123Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4117554Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4117916Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4118272Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4118636Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4118987Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4119434Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4119793Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4120180Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4120547Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4122367Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4122736Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4123087Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4123478Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4123839Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4124192Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4124543Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4124917Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4125272Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4125626Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4125998Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4127568Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4127934Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4128289Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4128644Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4128995Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4129352Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4129722Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4130117Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4130484Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4130838Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4131193Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4132991Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4133393Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4133762Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4134117Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4134473Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4134836Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4135191Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4135584Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4135939Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4136316Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4138115Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4138502Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4138870Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4139224Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4139581Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4139954Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4140308Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4140661Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4141016Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4141370Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4141725Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4142080Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4142436Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:11:18.4142822Z Warning: Workspace for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle::Argument is not allocated, use SetWorkSpacePointer. 2025-08-14T22:17:08.5922095Z 2025-08-14T22:17:08.5922584Z loading model: 0it [26:40, ?it/s] 2025-08-14T22:17:08.5926395Z cuda train Background_Matting 2025-08-14T22:17:08.5927073Z Compilation time (from dynamo_timed): 0 2025-08-14T22:17:08.5927443Z pass_due_to_skip 2025-08-14T22:17:08.5967912Z TIMING: total_wall_time:0 2025-08-14T22:17:08.5968683Z STATS: call_* op count: 0 2025-08-14T22:17:08.5968937Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique) 2025-08-14T22:17:11.1606649Z 2025-08-14T22:17:39.7300899Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:17:39.7301342Z loading model: 0it [00:28, ?it/s] 2025-08-14T22:17:39.7301740Z cuda train LearningToPaint 2025-08-14T22:17:39.7364491Z [W814 22:17:39.533465413 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.7968617Z [W814 22:17:39.593722569 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.7969804Z [W814 22:17:39.594083312 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.7971089Z [W814 22:17:39.594301239 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.7974227Z [W814 22:17:39.594579254 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.7975770Z [W814 22:17:39.594784970 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.7978186Z [W814 22:17:39.595012197 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.7980080Z [W814 22:17:39.595239162 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.7982155Z [W814 22:17:39.595447809 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.7984265Z [W814 22:17:39.595674035 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.7990018Z [W814 22:17:39.595959030 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.7990469Z [W814 22:17:39.596262565 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.7994280Z [W814 22:17:39.596507260 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.7995082Z [W814 22:17:39.596709947 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.7998607Z [W814 22:17:39.597010011 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.7999816Z [W814 22:17:39.597216418 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.8002865Z [W814 22:17:39.597493853 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.8005291Z [W814 22:17:39.597745718 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.8007639Z [W814 22:17:39.597969754 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.8009957Z [W814 22:17:39.598215370 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.8012757Z [W814 22:17:39.598496225 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.8854311Z [W814 22:17:39.682289650 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.8859539Z [W814 22:17:39.682979628 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.8862121Z [W814 22:17:39.683404040 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.8866012Z [W814 22:17:39.683805444 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.8869951Z [W814 22:17:39.684182457 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.8873931Z [W814 22:17:39.684602239 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.8877293Z [W814 22:17:39.684940714 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.8880866Z [W814 22:17:39.685272778 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.8884132Z [W814 22:17:39.685617042 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.8887307Z [W814 22:17:39.685932656 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.8890989Z [W814 22:17:39.686303449 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.8894213Z [W814 22:17:39.686633634 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.8897476Z [W814 22:17:39.686956498 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.8900748Z [W814 22:17:39.687291803 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.8903869Z [W814 22:17:39.687603617 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.8909883Z [W814 22:17:39.687940691 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.8911829Z [W814 22:17:39.688394593 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.8915070Z [W814 22:17:39.688720977 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.8918721Z [W814 22:17:39.689078321 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.8921900Z [W814 22:17:39.689405495 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.8925619Z [W814 22:17:39.689784209 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.9103658Z [W814 22:17:39.707447870 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.9108142Z [W814 22:17:39.707940991 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.9110218Z [W814 22:17:39.708177657 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.9112258Z [W814 22:17:39.708380294 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.9116787Z [W814 22:17:39.708622529 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.9117203Z [W814 22:17:39.708827146 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.9118150Z [W814 22:17:39.709048982 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.9120204Z [W814 22:17:39.709251048 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.9122537Z [W814 22:17:39.709495664 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.9124567Z [W814 22:17:39.709709700 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.9126676Z [W814 22:17:39.709910666 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.9128907Z [W814 22:17:39.710133783 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.9130795Z [W814 22:17:39.710336940 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.9132582Z [W814 22:17:39.710528396 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.9134692Z [W814 22:17:39.710733742 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.9137229Z [W814 22:17:39.710929469 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.9138983Z [W814 22:17:39.711151015 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.9141082Z [W814 22:17:39.711374411 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.9143105Z [W814 22:17:39.711578018 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.9145151Z [W814 22:17:39.711784684 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.9147314Z [W814 22:17:39.711993050 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.9159975Z [W814 22:17:39.713217809 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.9163861Z [W814 22:17:39.713620691 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.9167280Z [W814 22:17:39.713961925 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.9170658Z [W814 22:17:39.714294819 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.9173745Z [W814 22:17:39.714621085 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.9177163Z [W814 22:17:39.714954529 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.9180444Z [W814 22:17:39.715284643 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.9183732Z [W814 22:17:39.715614867 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.9186813Z [W814 22:17:39.715927621 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.9190107Z [W814 22:17:39.716254536 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.9193337Z [W814 22:17:39.716586140 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.9196740Z [W814 22:17:39.716907994 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.9200212Z [W814 22:17:39.717243188 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.9203311Z [W814 22:17:39.717564573 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.9206371Z [W814 22:17:39.717881507 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.9209900Z [W814 22:17:39.718218841 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.9212867Z [W814 22:17:39.718537886 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.9216231Z [W814 22:17:39.718867030 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.9221237Z [W814 22:17:39.719203774 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.9222734Z [W814 22:17:39.719521618 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:39.9225911Z [W814 22:17:39.719845673 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:17:41.0193499Z Compilation time (from dynamo_timed): 0.926861378 2025-08-14T22:17:41.0199422Z pass 2025-08-14T22:17:41.0229920Z TIMING: gc:0.00233 entire_frame_compile:0.92686 backend_compile:0.00022 total_wall_time:0.92686 2025-08-14T22:17:41.0230274Z STATS: call_* op count: 75 | FakeTensorMode.__torch_dispatch__:952 | FakeTensor.__torch_dispatch__:18 2025-08-14T22:17:41.0235554Z Dynamo produced 2 graphs covering 75 ops with 6 graph breaks (5 unique) 2025-08-14T22:17:43.8699226Z 2025-08-14T22:18:14.2339811Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:18:14.2340201Z loading model: 0it [00:30, ?it/s] 2025-08-14T22:18:14.2340854Z cuda train Super_SloMo 2025-08-14T22:18:14.2384809Z [W814 22:18:14.035555391 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3337557Z [W814 22:18:14.130633288 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3341276Z [W814 22:18:14.131183668 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3343673Z [W814 22:18:14.131378355 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3344453Z [W814 22:18:14.131549061 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3345372Z [W814 22:18:14.131709349 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3346798Z [W814 22:18:14.131871647 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3349139Z [W814 22:18:14.132037773 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3356117Z [W814 22:18:14.132197730 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3356657Z [W814 22:18:14.132369698 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3357101Z [W814 22:18:14.132553554 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3357509Z [W814 22:18:14.132736981 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3357909Z [W814 22:18:14.132948427 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3359367Z [W814 22:18:14.133159154 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3361944Z [W814 22:18:14.133401139 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3363657Z [W814 22:18:14.133573306 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3364906Z [W814 22:18:14.133736463 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3366631Z [W814 22:18:14.133892441 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3372618Z [W814 22:18:14.134058748 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3373022Z [W814 22:18:14.134224415 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3373420Z [W814 22:18:14.134492590 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3375585Z [W814 22:18:14.134773985 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3378329Z [W814 22:18:14.135032511 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3386164Z [W814 22:18:14.135826107 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3388977Z [W814 22:18:14.136092582 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3391723Z [W814 22:18:14.136383827 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3392977Z [W814 22:18:14.136527825 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3394505Z [W814 22:18:14.136676932 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3398933Z [W814 22:18:14.136818790 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3399380Z [W814 22:18:14.136968277 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3399933Z [W814 22:18:14.137120874 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3400521Z [W814 22:18:14.137267912 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3401662Z [W814 22:18:14.137415559 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3403281Z [W814 22:18:14.137579596 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3404801Z [W814 22:18:14.137736033 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3406843Z [W814 22:18:14.137906701 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3408451Z [W814 22:18:14.138083838 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3409966Z [W814 22:18:14.138253984 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3411469Z [W814 22:18:14.138404492 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3412997Z [W814 22:18:14.138556290 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3414620Z [W814 22:18:14.138703967 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3415966Z [W814 22:18:14.138854433 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3419345Z [W814 22:18:14.139011271 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3419765Z [W814 22:18:14.139163549 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3420399Z [W814 22:18:14.139313116 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3422705Z [W814 22:18:14.139519432 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3429690Z [W814 22:18:14.140158861 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3431419Z [W814 22:18:14.140366117 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3434573Z [W814 22:18:14.140684112 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3436161Z [W814 22:18:14.140846779 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3437792Z [W814 22:18:14.141022176 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3439175Z [W814 22:18:14.141176084 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3443826Z [W814 22:18:14.141360970 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3444273Z [W814 22:18:14.141526698 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3444715Z [W814 22:18:14.141678315 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3445575Z [W814 22:18:14.141822053 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3446937Z [W814 22:18:14.141956130 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3448369Z [W814 22:18:14.142104557 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3451763Z [W814 22:18:14.142412472 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3453197Z [W814 22:18:14.142553129 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3454279Z [W814 22:18:14.142700147 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3455664Z [W814 22:18:14.142834884 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3457044Z [W814 22:18:14.142968882 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3459858Z [W814 22:18:14.143122959 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3460159Z [W814 22:18:14.143259797 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3461543Z [W814 22:18:14.143393535 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.3485832Z [W814 22:18:14.145696115 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.4339493Z [W814 22:18:14.230857544 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.4339938Z [W814 22:18:14.231067660 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.4341374Z [W814 22:18:14.231302767 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.4342738Z [W814 22:18:14.231468314 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.4344044Z [W814 22:18:14.231612342 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.4345696Z [W814 22:18:14.231786519 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.4352110Z [W814 22:18:14.231943686 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.4352517Z [W814 22:18:14.232120023 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.4352888Z [W814 22:18:14.232271260 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.4359330Z [W814 22:18:14.233138925 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5154009Z [W814 22:18:14.312258391 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5158979Z [W814 22:18:14.312900900 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5160453Z [W814 22:18:14.313253094 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5163925Z [W814 22:18:14.313597357 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5167161Z [W814 22:18:14.313911992 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5170533Z [W814 22:18:14.314255226 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5177726Z [W814 22:18:14.314588510 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5178011Z [W814 22:18:14.314909725 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5180015Z [W814 22:18:14.315214889 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5183252Z [W814 22:18:14.315548973 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5186599Z [W814 22:18:14.315871487 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5189787Z [W814 22:18:14.316188363 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5193002Z [W814 22:18:14.316513986 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5195706Z [W814 22:18:14.316794581 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5199069Z [W814 22:18:14.317124606 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5202350Z [W814 22:18:14.317440141 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5205414Z [W814 22:18:14.317761185 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5208672Z [W814 22:18:14.318085479 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5212021Z [W814 22:18:14.318402693 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5215052Z [W814 22:18:14.318721208 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5218518Z [W814 22:18:14.319059672 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5224270Z [W814 22:18:14.319647931 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5232465Z [W814 22:18:14.320449128 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5236008Z [W814 22:18:14.320808112 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5239177Z [W814 22:18:14.321124006 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5242433Z [W814 22:18:14.321451180 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5245313Z [W814 22:18:14.321752235 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5248630Z [W814 22:18:14.322069279 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5251509Z [W814 22:18:14.322369074 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5254674Z [W814 22:18:14.322674828 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5257483Z [W814 22:18:14.322959893 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5260377Z [W814 22:18:14.323260288 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5263486Z [W814 22:18:14.323571453 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5266366Z [W814 22:18:14.323859568 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5269394Z [W814 22:18:14.324149333 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5272174Z [W814 22:18:14.324446598 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5275244Z [W814 22:18:14.324745733 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5278450Z [W814 22:18:14.325051917 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5281288Z [W814 22:18:14.325342202 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5284150Z [W814 22:18:14.325639547 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5287382Z [W814 22:18:14.325932961 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5290350Z [W814 22:18:14.326241136 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5293151Z [W814 22:18:14.326535642 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5296204Z [W814 22:18:14.326842476 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5300431Z [W814 22:18:14.327248789 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5701240Z [W814 22:18:14.366870856 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5701984Z [W814 22:18:14.367236189 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5702870Z [W814 22:18:14.367419966 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5703838Z [W814 22:18:14.367573913 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5705840Z [W814 22:18:14.367728721 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5706957Z [W814 22:18:14.367875738 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5712081Z [W814 22:18:14.368037265 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5712353Z [W814 22:18:14.368184173 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5712594Z [W814 22:18:14.368338730 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5712828Z [W814 22:18:14.368485867 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5714436Z [W814 22:18:14.368664504 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5715705Z [W814 22:18:14.368828481 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5717966Z [W814 22:18:14.369031927 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5719554Z [W814 22:18:14.369210084 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5721320Z [W814 22:18:14.369396352 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5722868Z [W814 22:18:14.369554129 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5724443Z [W814 22:18:14.369709135 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5726373Z [W814 22:18:14.369862944 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5727546Z [W814 22:18:14.370022451 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5728994Z [W814 22:18:14.370174408 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5730520Z [W814 22:18:14.370325945 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5732052Z [W814 22:18:14.370480753 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5733491Z [W814 22:18:14.370623680 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5741720Z [W814 22:18:14.371393956 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5743190Z [W814 22:18:14.371563883 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5744490Z [W814 22:18:14.371721321 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5745939Z [W814 22:18:14.371866148 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5748299Z [W814 22:18:14.372080284 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5749693Z [W814 22:18:14.372229622 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5751027Z [W814 22:18:14.372379009 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5752491Z [W814 22:18:14.372521946 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5754549Z [W814 22:18:14.372671284 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5755434Z [W814 22:18:14.372816461 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5757235Z [W814 22:18:14.372984198 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5758884Z [W814 22:18:14.373150555 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5760756Z [W814 22:18:14.373344923 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5762488Z [W814 22:18:14.373521430 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5764224Z [W814 22:18:14.373690037 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5765686Z [W814 22:18:14.373842324 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5767299Z [W814 22:18:14.373995021 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5768831Z [W814 22:18:14.374154218 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5771556Z [W814 22:18:14.374305516 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5771806Z [W814 22:18:14.374454423 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5773319Z [W814 22:18:14.374606800 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5774832Z [W814 22:18:14.374757628 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5776258Z [W814 22:18:14.374901255 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5783831Z [W814 22:18:14.375612752 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5785607Z [W814 22:18:14.375810369 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5787371Z [W814 22:18:14.375994177 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5789257Z [W814 22:18:14.376160503 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5790789Z [W814 22:18:14.376317711 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5791993Z [W814 22:18:14.376463617 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5794041Z [W814 22:18:14.376605156 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5795079Z [W814 22:18:14.376753993 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5796404Z [W814 22:18:14.376898550 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5797899Z [W814 22:18:14.377048088 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5799427Z [W814 22:18:14.377185155 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5800712Z [W814 22:18:14.377331603 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5802192Z [W814 22:18:14.377479270 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5803518Z [W814 22:18:14.377617528 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5804985Z [W814 22:18:14.377762575 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5806347Z [W814 22:18:14.377899383 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5810428Z [W814 22:18:14.378042320 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5810671Z [W814 22:18:14.378185048 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5810909Z [W814 22:18:14.378320275 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5811932Z [W814 22:18:14.378455293 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5835393Z [W814 22:18:14.380715004 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5837050Z [W814 22:18:14.380908970 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5838090Z [W814 22:18:14.381065297 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5840034Z [W814 22:18:14.381237804 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5841389Z [W814 22:18:14.381396001 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5842721Z [W814 22:18:14.381536759 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5844324Z [W814 22:18:14.381694786 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5845694Z [W814 22:18:14.381837024 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5847393Z [W814 22:18:14.381994361 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5848930Z [W814 22:18:14.382153378 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5856084Z [W814 22:18:14.382789898 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5859200Z [W814 22:18:14.383128432 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5862131Z [W814 22:18:14.383436906 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5865146Z [W814 22:18:14.383742911 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5868379Z [W814 22:18:14.384053945 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5871307Z [W814 22:18:14.384357750 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5874388Z [W814 22:18:14.384657474 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5877510Z [W814 22:18:14.384958239 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5880532Z [W814 22:18:14.385261834 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5883468Z [W814 22:18:14.385565529 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5887804Z [W814 22:18:14.385852173 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5889459Z [W814 22:18:14.386153559 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5892143Z [W814 22:18:14.386432603 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5895063Z [W814 22:18:14.386730369 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5898032Z [W814 22:18:14.387018283 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5900847Z [W814 22:18:14.387310238 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5903641Z [W814 22:18:14.387589193 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5906635Z [W814 22:18:14.387881318 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5909620Z [W814 22:18:14.388185393 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5912458Z [W814 22:18:14.388478227 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5915478Z [W814 22:18:14.388772833 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5918787Z [W814 22:18:14.389090808 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5921781Z [W814 22:18:14.389394242 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5932345Z [W814 22:18:14.390449033 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5935740Z [W814 22:18:14.390791357 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5939041Z [W814 22:18:14.391115602 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5942078Z [W814 22:18:14.391428486 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.5945095Z [W814 22:18:14.391735280 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.6113422Z [W814 22:18:14.408449288 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.6116162Z [W814 22:18:14.408761644 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.6118825Z [W814 22:18:14.409082678 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.6121786Z [W814 22:18:14.409387872 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.6124754Z [W814 22:18:14.409684877 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.6127749Z [W814 22:18:14.409974892 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.6130735Z [W814 22:18:14.410282737 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.6133463Z [W814 22:18:14.410566591 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.6136624Z [W814 22:18:14.410868776 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.6139527Z [W814 22:18:14.411162041 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.6142426Z [W814 22:18:14.411459416 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.6145257Z [W814 22:18:14.411744670 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.6148430Z [W814 22:18:14.412049106 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.6151268Z [W814 22:18:14.412350270 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.6154230Z [W814 22:18:14.412648095 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.6157517Z [W814 22:18:14.412947890 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.6160638Z [W814 22:18:14.413268414 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:14.6165112Z [W814 22:18:14.413575449 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:17.4194338Z W0814 22:18:17.418000 678384 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-08-14T22:18:20.6506930Z Compilation time (from dynamo_timed): 5.104719252 2025-08-14T22:18:20.6514940Z pass 2025-08-14T22:18:20.6538637Z TIMING: gc:0.00374 entire_frame_compile:5.10472 backend_compile:0.00054 total_wall_time:5.10472 2025-08-14T22:18:20.6539255Z STATS: call_* op count: 857 | FakeTensorMode.__torch_dispatch__:4770 | FakeTensor.__torch_dispatch__:1151 2025-08-14T22:18:20.6539754Z Dynamo produced 3 graphs covering 857 ops with 7 graph breaks (5 unique) 2025-08-14T22:18:23.6479738Z 2025-08-14T22:18:29.3927107Z loading model: 0it [00:00, ?it/s]MIOpen(HIP): Error [ParseContents] Duplicate ID (ignored): ConvAsmImplicitGemmGTCDynamicWrwXdlopsNHWC; key: 2x64x55x55x1x11x11x1x3x4x2x2x0x4x4x0x1x1x0x0x1xNCHWxFP16xW 2025-08-14T22:18:29.3932591Z MIOpen(HIP): Error [ParseContents] Duplicate ID (ignored): ConvHipImplicitGemmGroupWrwXdlops; key: 2x64x55x55x1x11x11x1x3x4x2x2x0x4x4x0x1x1x0x0x1xNCHWxFP16xW 2025-08-14T22:18:29.3933087Z MIOpen(HIP): Error [ParseContents] Duplicate ID (ignored): ConvAsmImplicitGemmGTCDynamicWrwXdlopsNHWC; key: 2x64x55x55x1x11x11x1x3x4x2x2x0x4x4x0x1x1x0x0x1xNCHWxFP16xW 2025-08-14T22:18:29.3933550Z MIOpen(HIP): Error [ParseContents] Duplicate ID (ignored): ConvHipImplicitGemmGroupWrwXdlops; key: 2x64x55x55x1x11x11x1x3x4x2x2x0x4x4x0x1x1x0x0x1xNCHWxFP16xW 2025-08-14T22:18:29.4427220Z 2025-08-14T22:18:29.4427406Z loading model: 0it [00:05, ?it/s] 2025-08-14T22:18:29.4431161Z cuda train alexnet 2025-08-14T22:18:29.4445843Z [W814 22:18:29.241677498 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:29.5038912Z [W814 22:18:29.300783494 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:29.5040170Z [W814 22:18:29.301082669 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:29.5041296Z [W814 22:18:29.301263766 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:29.5050243Z [W814 22:18:29.301466922 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:29.5997462Z [W814 22:18:29.396503960 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:29.5998788Z [W814 22:18:29.396940002 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:29.6001352Z [W814 22:18:29.397270306 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:29.6005054Z [W814 22:18:29.397661049 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:29.6007880Z [W814 22:18:29.397977214 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:29.6178012Z [W814 22:18:29.414960557 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:29.6181172Z [W814 22:18:29.415345521 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:29.6182798Z [W814 22:18:29.415520708 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:29.6184290Z [W814 22:18:29.415674485 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:29.6186012Z [W814 22:18:29.415848902 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:29.6202308Z [W814 22:18:29.416888103 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:29.6202651Z [W814 22:18:29.417189658 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:29.6203329Z [W814 22:18:29.417476693 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:29.6205419Z [W814 22:18:29.417762108 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:29.6208386Z [W814 22:18:29.418057034 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:18:29.6633534Z E0814 22:18:29.662000 678678 site-packages/torch/_dynamo/utils.py:3120] Accuracy failed: allclose not within tol=0 2025-08-14T22:18:29.6663852Z Compilation time (from dynamo_timed): 0 2025-08-14T22:18:29.6664285Z eager_two_runs_differ 2025-08-14T22:18:32.2682448Z TIMING: total_wall_time:0 2025-08-14T22:18:32.2682712Z STATS: call_* op count: 0 2025-08-14T22:18:32.2682906Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique) 2025-08-14T22:18:32.2683056Z 2025-08-14T22:18:37.2035910Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:18:37.2036217Z loading model: 0it [00:04, ?it/s] 2025-08-14T22:18:37.2036573Z cuda train basic_gnn_edgecnn 2025-08-14T22:18:38.4129379Z W0814 22:18:38.411000 678971 site-packages/torch/_logging/_internal.py:1199] [24/0] Profiler function will be ignored 2025-08-14T22:18:38.7032276Z Compilation time (from dynamo_timed): 1.112200819 2025-08-14T22:18:38.7032478Z pass 2025-08-14T22:18:38.7058157Z TIMING: gc:0.00704 entire_frame_compile:1.1122 backend_compile:0.00063 total_wall_time:1.1122 2025-08-14T22:18:38.7058549Z STATS: call_* op count: 128 | FakeTensorMode.__torch_dispatch__:916 | FakeTensor.__torch_dispatch__:299 2025-08-14T22:18:38.7058886Z Dynamo produced 8 graphs covering 128 ops with 20 graph breaks (6 unique) 2025-08-14T22:18:41.6684150Z 2025-08-14T22:18:46.6370952Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:18:46.6379339Z loading model: 0it [00:04, ?it/s] 2025-08-14T22:18:46.6379628Z cuda train basic_gnn_gcn 2025-08-14T22:18:47.3830485Z W0814 22:18:47.382000 679106 site-packages/torch/_logging/_internal.py:1199] [18/0] Profiler function will be ignored 2025-08-14T22:18:47.5791757Z Compilation time (from dynamo_timed): 0.632426049 2025-08-14T22:18:47.5792183Z pass 2025-08-14T22:18:47.5797921Z TIMING: gc:0.00516 entire_frame_compile:0.63243 backend_compile:0.0007 total_wall_time:0.63243 2025-08-14T22:18:47.5798526Z STATS: call_* op count: 112 | FakeTensorMode.__torch_dispatch__:381 | FakeTensor.__torch_dispatch__:139 2025-08-14T22:18:47.5799053Z Dynamo produced 10 graphs covering 112 ops with 13 graph breaks (6 unique) 2025-08-14T22:18:50.4392073Z 2025-08-14T22:18:55.3545823Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:18:55.3546309Z loading model: 0it [00:04, ?it/s] 2025-08-14T22:18:55.3546909Z cuda train basic_gnn_gin 2025-08-14T22:18:56.0062718Z W0814 22:18:56.005000 679241 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-08-14T22:18:56.3014761Z Compilation time (from dynamo_timed): 0.640315639 2025-08-14T22:18:56.3015006Z pass 2025-08-14T22:18:56.3016852Z TIMING: gc:0.00313 entire_frame_compile:0.64032 backend_compile:0.00031 total_wall_time:0.64032 2025-08-14T22:18:56.3022656Z STATS: call_* op count: 135 | FakeTensorMode.__torch_dispatch__:500 | FakeTensor.__torch_dispatch__:163 2025-08-14T22:18:56.3023167Z Dynamo produced 3 graphs covering 135 ops with 7 graph breaks (5 unique) 2025-08-14T22:18:59.2004990Z 2025-08-14T22:19:04.1067703Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:19:04.1067956Z loading model: 0it [00:04, ?it/s] 2025-08-14T22:19:04.1068121Z cuda train basic_gnn_sage 2025-08-14T22:19:04.6854825Z W0814 22:19:04.684000 679376 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-08-14T22:19:04.9338469Z Compilation time (from dynamo_timed): 0.532218113 2025-08-14T22:19:04.9338776Z pass 2025-08-14T22:19:04.9346766Z TIMING: gc:0.00189 entire_frame_compile:0.53222 backend_compile:0.00023 total_wall_time:0.53222 2025-08-14T22:19:04.9347315Z STATS: call_* op count: 126 | FakeTensorMode.__torch_dispatch__:462 | FakeTensor.__torch_dispatch__:129 2025-08-14T22:19:04.9347795Z Dynamo produced 3 graphs covering 126 ops with 7 graph breaks (5 unique) 2025-08-14T22:19:07.7864403Z 2025-08-14T22:19:09.1184802Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:19:09.1185762Z loading model: 0it [00:01, ?it/s] 2025-08-14T22:19:09.1186111Z cuda train dcgan 2025-08-14T22:19:09.1199108Z [W814 22:19:09.916978891 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:09.2013466Z [W814 22:19:09.998162620 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:09.2016969Z [W814 22:19:09.998756190 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:09.2020253Z [W814 22:19:09.999102135 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:09.2021801Z [W814 22:19:09.999353370 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:09.2030678Z [W814 22:19:09.000076837 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:09.3168000Z [W814 22:19:09.113727290 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:09.3173159Z [W814 22:19:09.114404758 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:09.3176125Z [W814 22:19:09.114793261 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:09.3180998Z [W814 22:19:09.115152515 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:09.3348444Z [W814 22:19:09.131810643 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:09.3356876Z [W814 22:19:09.132071009 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:09.3357241Z [W814 22:19:09.132304494 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:09.3357550Z [W814 22:19:09.132513981 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:09.3357858Z [W814 22:19:09.132733787 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:09.3361968Z [W814 22:19:09.133350607 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:09.3370444Z [W814 22:19:09.134146682 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:09.3373377Z [W814 22:19:09.134520776 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:09.3376953Z [W814 22:19:09.134883580 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:09.3380390Z [W814 22:19:09.135220074 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:19:09.7446188Z Compilation time (from dynamo_timed): 0.279960243 2025-08-14T22:19:09.7446355Z pass 2025-08-14T22:19:09.7453905Z TIMING: gc:0.00144 entire_frame_compile:0.27996 backend_compile:0.00015 total_wall_time:0.27996 2025-08-14T22:19:09.7454365Z STATS: call_* op count: 17 | FakeTensorMode.__torch_dispatch__:198 | FakeTensor.__torch_dispatch__:24 2025-08-14T22:19:09.7454626Z Dynamo produced 2 graphs covering 17 ops with 6 graph breaks (5 unique) 2025-08-14T22:19:12.2573822Z 2025-08-14T22:21:58.9977666Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:21:58.9981341Z loading model: 0it [02:46, ?it/s] 2025-08-14T22:21:58.9981861Z cuda train demucs 2025-08-14T22:21:59.0036246Z [W814 22:21:59.800685647 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.0687778Z [W814 22:21:59.865663200 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.0691140Z [W814 22:21:59.866061024 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.0691784Z [W814 22:21:59.866287409 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.0693281Z [W814 22:21:59.866519285 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.0701461Z [W814 22:21:59.866712122 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.0701972Z [W814 22:21:59.866877490 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.0702330Z [W814 22:21:59.867084296 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.0702669Z [W814 22:21:59.867252293 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.0702998Z [W814 22:21:59.867449509 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.0703510Z [W814 22:21:59.867614266 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.0705964Z [W814 22:21:59.867819863 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.1721774Z [W814 22:21:59.969035352 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.2034884Z [W814 22:21:59.000408664 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.2041509Z [W814 22:21:59.001173210 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.2052968Z [W814 22:21:59.001727740 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.2053472Z [W814 22:21:59.002365780 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.2060601Z [W814 22:21:59.003250454 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.2121168Z [W814 22:21:59.009180210 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.2130647Z [W814 22:21:59.010168793 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.2139119Z [W814 22:21:59.011021128 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.2146235Z [W814 22:21:59.011828863 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.2154240Z [W814 22:21:59.012633580 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.2162746Z [W814 22:21:59.013467115 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.3446099Z [W814 22:21:59.141436487 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.3447652Z [W814 22:21:59.141827470 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.3451156Z [W814 22:21:59.142219113 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.3453693Z [W814 22:21:59.142576977 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.3460061Z [W814 22:21:59.142947960 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.3460875Z [W814 22:21:59.143313364 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.3464692Z [W814 22:21:59.143682837 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.3468589Z [W814 22:21:59.144062990 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.3472271Z [W814 22:21:59.144449934 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.3475940Z [W814 22:21:59.144811068 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.3482468Z [W814 22:21:59.145278080 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.3485035Z [W814 22:21:59.145686652 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.3734890Z [W814 22:21:59.170481579 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.3739327Z [W814 22:21:59.170756024 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.3740121Z [W814 22:21:59.170938311 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.3740457Z [W814 22:21:59.171136888 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.3742004Z [W814 22:21:59.171300075 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.3742520Z [W814 22:21:59.171475942 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.3748364Z [W814 22:21:59.171637369 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.3749285Z [W814 22:21:59.171820045 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.3750033Z [W814 22:21:59.171982992 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.3750733Z [W814 22:21:59.172173249 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.3751350Z [W814 22:21:59.172332376 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.3752964Z [W814 22:21:59.172506723 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.4389347Z [W814 22:21:59.235896635 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.4398552Z [W814 22:21:59.236849928 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.4408056Z [W814 22:21:59.237945879 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.4413985Z [W814 22:21:59.238587767 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.4419150Z [W814 22:21:59.239087059 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.4423525Z [W814 22:21:59.239558851 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.4446542Z [W814 22:21:59.241817851 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.4454373Z [W814 22:21:59.242637557 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.4462402Z [W814 22:21:59.243436733 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.4470111Z [W814 22:21:59.244196490 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.4477310Z [W814 22:21:59.244937246 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.4484998Z [W814 22:21:59.245704673 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.6162312Z [W814 22:21:59.413198233 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.6165424Z [W814 22:21:59.413558317 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.6167821Z [W814 22:21:59.413923830 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.6171155Z [W814 22:21:59.414262955 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.6174239Z [W814 22:21:59.414621398 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.6177749Z [W814 22:21:59.414950403 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.6181434Z [W814 22:21:59.415320417 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.6184547Z [W814 22:21:59.415661700 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.6188540Z [W814 22:21:59.416046194 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.6191788Z [W814 22:21:59.416390018 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.6195557Z [W814 22:21:59.416765791 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:21:59.6199013Z [W814 22:21:59.417114395 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:01.8741899Z Compilation time (from dynamo_timed): 1.257813198 2025-08-14T22:22:01.8763816Z pass 2025-08-14T22:22:01.8890007Z TIMING: gc:0.00392 entire_frame_compile:1.25781 backend_compile:0.00053 total_wall_time:1.25781 2025-08-14T22:22:01.8891061Z STATS: call_* op count: 88 | FakeTensorMode.__torch_dispatch__:1235 | FakeTensor.__torch_dispatch__:77 2025-08-14T22:22:01.8892076Z Dynamo produced 6 graphs covering 88 ops with 9 graph breaks (6 unique) 2025-08-14T22:22:05.1577001Z 2025-08-14T22:22:17.8978384Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:22:17.8978869Z loading model: 0it [00:12, ?it/s] 2025-08-14T22:22:17.8979206Z cuda train densenet121 2025-08-14T22:22:17.9326015Z [W814 22:22:17.729634428 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:17.9954899Z [W814 22:22:17.792290602 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:17.9956841Z [W814 22:22:17.792690995 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:17.9963215Z [W814 22:22:17.793055098 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:17.9963569Z [W814 22:22:17.793377872 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:17.9964933Z [W814 22:22:17.793673558 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:17.9968796Z [W814 22:22:17.793980743 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:17.9971121Z [W814 22:22:17.794321127 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:17.9973669Z [W814 22:22:17.794580982 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:17.9977079Z [W814 22:22:17.794903086 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:17.9979992Z [W814 22:22:17.795214401 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:17.9983284Z [W814 22:22:17.795546075 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:17.9986247Z [W814 22:22:17.795835730 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:17.9989691Z [W814 22:22:17.796183523 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:17.9992767Z [W814 22:22:17.796494478 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:17.9995200Z [W814 22:22:17.796741474 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:17.9997626Z [W814 22:22:17.796979249 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:17.9999847Z [W814 22:22:17.797190937 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0001993Z [W814 22:22:17.797422412 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0006632Z [W814 22:22:17.797681088 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0007001Z [W814 22:22:17.797914514 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0009265Z [W814 22:22:17.798128460 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0011952Z [W814 22:22:17.798410355 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0014077Z [W814 22:22:17.798625531 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0016742Z [W814 22:22:17.798901726 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0019193Z [W814 22:22:18.799119662 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0022006Z [W814 22:22:18.799413237 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0024588Z [W814 22:22:18.799670193 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0026879Z [W814 22:22:18.799902558 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0029767Z [W814 22:22:18.800176613 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0032399Z [W814 22:22:18.800455379 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0034327Z [W814 22:22:18.800662886 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0037283Z [W814 22:22:18.800935641 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0039440Z [W814 22:22:18.801153727 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0043001Z [W814 22:22:18.801498251 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0044872Z [W814 22:22:18.801708167 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0050279Z [W814 22:22:18.802048341 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0050545Z [W814 22:22:18.802260537 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0053974Z [W814 22:22:18.802597631 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0056405Z [W814 22:22:18.802855847 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0058671Z [W814 22:22:18.803080114 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0061238Z [W814 22:22:18.803346589 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0063155Z [W814 22:22:18.803542285 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0065455Z [W814 22:22:18.803777030 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0067579Z [W814 22:22:18.803971428 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0069830Z [W814 22:22:18.804216593 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0071843Z [W814 22:22:18.804411690 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0074047Z [W814 22:22:18.804640306 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0075918Z [W814 22:22:18.804828033 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0079350Z [W814 22:22:18.805137237 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0081328Z [W814 22:22:18.805350723 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0083629Z [W814 22:22:18.805589629 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0085627Z [W814 22:22:18.805799345 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0088286Z [W814 22:22:18.806044561 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0090204Z [W814 22:22:18.806241878 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0093153Z [W814 22:22:18.806535262 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0095189Z [W814 22:22:18.806743939 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0099003Z [W814 22:22:18.807099112 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0103835Z [W814 22:22:18.807594364 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0110730Z [W814 22:22:18.808103175 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0111000Z [W814 22:22:18.808331281 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0114332Z [W814 22:22:18.808647146 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0116418Z [W814 22:22:18.808864782 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0119087Z [W814 22:22:18.809125297 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0121412Z [W814 22:22:18.809354023 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0124404Z [W814 22:22:18.809655559 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0126642Z [W814 22:22:18.809871864 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0129264Z [W814 22:22:18.810132899 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0131255Z [W814 22:22:18.810338447 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0134240Z [W814 22:22:18.810645551 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0136402Z [W814 22:22:18.810861737 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0139350Z [W814 22:22:18.811150642 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0141390Z [W814 22:22:18.811361268 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0144410Z [W814 22:22:18.811656833 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0146563Z [W814 22:22:18.811872479 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0149386Z [W814 22:22:18.812154744 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0152038Z [W814 22:22:18.812412500 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0155082Z [W814 22:22:18.812724425 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0157689Z [W814 22:22:18.812984421 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0160620Z [W814 22:22:18.813253165 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0163101Z [W814 22:22:18.813521371 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0166066Z [W814 22:22:18.813826145 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0168940Z [W814 22:22:18.814091001 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0171808Z [W814 22:22:18.814399225 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0174395Z [W814 22:22:18.814654851 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0177031Z [W814 22:22:18.814907076 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0179695Z [W814 22:22:18.815167742 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0182867Z [W814 22:22:18.815495016 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0185971Z [W814 22:22:18.815800780 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0188522Z [W814 22:22:18.816056236 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0191369Z [W814 22:22:18.816358210 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0193435Z [W814 22:22:18.816566007 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0196199Z [W814 22:22:18.816835322 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0198520Z [W814 22:22:18.817061499 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0201359Z [W814 22:22:18.817347854 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0206684Z [W814 22:22:18.817565940 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0207760Z [W814 22:22:18.817846775 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0209140Z [W814 22:22:18.818068011 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0211228Z [W814 22:22:18.818290337 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0213104Z [W814 22:22:18.818485254 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0214847Z [W814 22:22:18.818704910 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0216734Z [W814 22:22:18.818897346 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0219411Z [W814 22:22:18.819138082 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0221024Z [W814 22:22:18.819334829 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0223202Z [W814 22:22:18.819554886 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0225089Z [W814 22:22:18.819744591 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0227283Z [W814 22:22:18.819960767 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0229460Z [W814 22:22:18.820168075 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0232038Z [W814 22:22:18.820387111 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0233640Z [W814 22:22:18.820578947 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0235641Z [W814 22:22:18.820797663 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0237563Z [W814 22:22:18.820991480 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0240161Z [W814 22:22:18.821240976 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0244802Z [W814 22:22:18.821685678 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0249611Z [W814 22:22:18.822176509 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0253385Z [W814 22:22:18.822553662 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0255737Z [W814 22:22:18.822791138 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0257936Z [W814 22:22:18.823011785 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0260153Z [W814 22:22:18.823246201 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0262409Z [W814 22:22:18.823445866 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.0774976Z [W814 22:22:18.874356596 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1245323Z [W814 22:22:18.921466922 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1251600Z [W814 22:22:18.922117412 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1253435Z [W814 22:22:18.922449586 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1259221Z [W814 22:22:18.922865708 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1259984Z [W814 22:22:18.923196562 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1264445Z [W814 22:22:18.923651084 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1267757Z [W814 22:22:18.923970039 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1271447Z [W814 22:22:18.924356552 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1274588Z [W814 22:22:18.924671106 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1279302Z [W814 22:22:18.925113908 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1282459Z [W814 22:22:18.925447093 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1285993Z [W814 22:22:18.925816696 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1289407Z [W814 22:22:18.926140941 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1295156Z [W814 22:22:18.926561323 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1296672Z [W814 22:22:18.926879528 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1301406Z [W814 22:22:18.927247311 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1304004Z [W814 22:22:18.927560466 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1308010Z [W814 22:22:18.927966848 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1310925Z [W814 22:22:18.928294653 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1314176Z [W814 22:22:18.928639577 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1317561Z [W814 22:22:18.928951552 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1321510Z [W814 22:22:18.929363655 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1324648Z [W814 22:22:18.929679919 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1328810Z [W814 22:22:18.930095512 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1333418Z [W814 22:22:18.930412726 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1335256Z [W814 22:22:18.930747270 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1338623Z [W814 22:22:18.931066194 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1342066Z [W814 22:22:18.931416358 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1345082Z [W814 22:22:18.931730143 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1348417Z [W814 22:22:18.932060758 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1351520Z [W814 22:22:18.932376652 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1354945Z [W814 22:22:18.932720516 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1359576Z [W814 22:22:18.933171008 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1367130Z [W814 22:22:18.933916725 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1376960Z [W814 22:22:18.934644952 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1378463Z [W814 22:22:18.934968016 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1382657Z [W814 22:22:18.935419048 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1385532Z [W814 22:22:18.935739973 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1389709Z [W814 22:22:18.936176215 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1392783Z [W814 22:22:18.936494800 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1396936Z [W814 22:22:18.936915762 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1400499Z [W814 22:22:18.937251646 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1404699Z [W814 22:22:18.937682469 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1407831Z [W814 22:22:18.938007213 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1412036Z [W814 22:22:18.938424435 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1415182Z [W814 22:22:18.938743830 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1419809Z [W814 22:22:18.939182873 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1422761Z [W814 22:22:18.939500077 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1427013Z [W814 22:22:18.939905050 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1430100Z [W814 22:22:18.940233044 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1434158Z [W814 22:22:18.940634107 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1437319Z [W814 22:22:18.940950061 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1441507Z [W814 22:22:18.941362644 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1444531Z [W814 22:22:18.941678898 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1449779Z [W814 22:22:18.942075542 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1453791Z [W814 22:22:18.942388397 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1455764Z [W814 22:22:18.942757810 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1458663Z [W814 22:22:18.943078195 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1462239Z [W814 22:22:18.943440408 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1465287Z [W814 22:22:18.943753993 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1469042Z [W814 22:22:18.944121706 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1472522Z [W814 22:22:18.944477670 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1481431Z [W814 22:22:18.945249996 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1485149Z [W814 22:22:18.945662440 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1488686Z [W814 22:22:18.946042713 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1491479Z [W814 22:22:18.946370237 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1495513Z [W814 22:22:18.946732021 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1498693Z [W814 22:22:18.947062665 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1501963Z [W814 22:22:18.947421758 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1505189Z [W814 22:22:18.947742133 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1509024Z [W814 22:22:18.948118537 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1512103Z [W814 22:22:18.948443631 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1515677Z [W814 22:22:18.948788974 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1519077Z [W814 22:22:18.949116529 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1522514Z [W814 22:22:18.949464413 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1525587Z [W814 22:22:18.949782097 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1530816Z [W814 22:22:18.950134541 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1532282Z [W814 22:22:18.950453115 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1535616Z [W814 22:22:18.950784679 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1538931Z [W814 22:22:18.951105394 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1542201Z [W814 22:22:18.951445608 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1545861Z [W814 22:22:18.951810361 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1549707Z [W814 22:22:18.952177666 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1553504Z [W814 22:22:18.952580089 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1556825Z [W814 22:22:18.952898293 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1560760Z [W814 22:22:18.953277716 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1563811Z [W814 22:22:18.953603290 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1567510Z [W814 22:22:18.953970024 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1570718Z [W814 22:22:18.954294178 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1574314Z [W814 22:22:18.954657032 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1577617Z [W814 22:22:18.954972306 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1581062Z [W814 22:22:18.955332100 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1584206Z [W814 22:22:18.955648145 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1587687Z [W814 22:22:18.955988699 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1590804Z [W814 22:22:18.956309863 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1594389Z [W814 22:22:18.956666747 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1601439Z [W814 22:22:18.957348045 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1605953Z [W814 22:22:18.957817636 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1609471Z [W814 22:22:18.958152950 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1612813Z [W814 22:22:18.958506255 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1616020Z [W814 22:22:18.958828578 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1619709Z [W814 22:22:18.959177913 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1622729Z [W814 22:22:18.959498327 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1626132Z [W814 22:22:18.959837431 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1629605Z [W814 22:22:18.960165166 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1632873Z [W814 22:22:18.960511489 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1637990Z [W814 22:22:18.960996081 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1642173Z [W814 22:22:18.961429804 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1645711Z [W814 22:22:18.961796697 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1649171Z [W814 22:22:18.962127021 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1652562Z [W814 22:22:18.962478755 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1655680Z [W814 22:22:18.962799750 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1659303Z [W814 22:22:18.963151803 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1662426Z [W814 22:22:18.963472228 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1665796Z [W814 22:22:18.963806112 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1669149Z [W814 22:22:18.964131196 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1672442Z [W814 22:22:18.964469470 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1675530Z [W814 22:22:18.964784174 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1680216Z [W814 22:22:18.965224457 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1876991Z [W814 22:22:18.984728476 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1884078Z [W814 22:22:18.985416084 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1884329Z [W814 22:22:18.985634410 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1887743Z [W814 22:22:18.985875456 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1890012Z [W814 22:22:18.986084202 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1891352Z [W814 22:22:18.986311158 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1893036Z [W814 22:22:18.986504325 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1895846Z [W814 22:22:18.986727501 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1897176Z [W814 22:22:18.986921297 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1899708Z [W814 22:22:18.987151783 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1901575Z [W814 22:22:18.987347170 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1903485Z [W814 22:22:18.987570246 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1905336Z [W814 22:22:18.987762852 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1909641Z [W814 22:22:18.987992699 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1910061Z [W814 22:22:18.988246175 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1912239Z [W814 22:22:18.988447140 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1914421Z [W814 22:22:18.988673947 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1917086Z [W814 22:22:18.988867234 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1918873Z [W814 22:22:18.989100300 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1920873Z [W814 22:22:18.989303176 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1923230Z [W814 22:22:18.989538092 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1926004Z [W814 22:22:18.989800957 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1930228Z [W814 22:22:18.990238799 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1933797Z [W814 22:22:18.990443136 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1934266Z [W814 22:22:18.990673022 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1936285Z [W814 22:22:18.990867968 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1938583Z [W814 22:22:18.991103965 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1940517Z [W814 22:22:18.991298270 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1944162Z [W814 22:22:18.991522007 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1944907Z [W814 22:22:18.991714283 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1947514Z [W814 22:22:18.991938959 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1949038Z [W814 22:22:18.992143086 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1951137Z [W814 22:22:18.992366063 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1953073Z [W814 22:22:18.992557459 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1955329Z [W814 22:22:18.992782335 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1957477Z [W814 22:22:18.992973792 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1959640Z [W814 22:22:18.993209488 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1961844Z [W814 22:22:18.993416804 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1963968Z [W814 22:22:18.993648610 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1966179Z [W814 22:22:18.993873526 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1968184Z [W814 22:22:18.994079202 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1970828Z [W814 22:22:18.994326178 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1972675Z [W814 22:22:18.994514934 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1974955Z [W814 22:22:18.994746681 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1977035Z [W814 22:22:18.994937798 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1979435Z [W814 22:22:18.995177522 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1981154Z [W814 22:22:18.995365870 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1983301Z [W814 22:22:18.995591116 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1985177Z [W814 22:22:18.995775483 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1987635Z [W814 22:22:18.996011469 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1989573Z [W814 22:22:18.996199445 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1991799Z [W814 22:22:18.996431951 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1993737Z [W814 22:22:18.996624668 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1996032Z [W814 22:22:18.996854464 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.1999238Z [W814 22:22:18.997049420 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2000425Z [W814 22:22:18.997281456 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2002246Z [W814 22:22:18.997476043 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2004411Z [W814 22:22:18.997703699 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2006331Z [W814 22:22:18.997889146 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2008823Z [W814 22:22:18.998125391 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2010659Z [W814 22:22:18.998312639 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2012897Z [W814 22:22:18.998541184 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2014745Z [W814 22:22:18.998728761 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2017175Z [W814 22:22:18.998959017 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2019099Z [W814 22:22:18.999157574 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2021275Z [W814 22:22:18.999388340 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2023145Z [W814 22:22:18.999574656 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2025519Z [W814 22:22:18.999803902 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2029136Z [W814 22:22:18.999990429 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2030007Z [W814 22:22:18.000231415 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2031655Z [W814 22:22:18.000416791 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2033873Z [W814 22:22:18.000644467 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2035734Z [W814 22:22:18.000830334 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2038302Z [W814 22:22:18.001069060 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2041694Z [W814 22:22:18.001393885 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2052690Z [W814 22:22:18.001959525 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2052960Z [W814 22:22:18.002332108 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2053368Z [W814 22:22:18.002581794 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2055374Z [W814 22:22:18.002774240 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2058046Z [W814 22:22:18.003023436 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2059822Z [W814 22:22:18.003217212 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2062194Z [W814 22:22:18.003457628 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2064135Z [W814 22:22:18.003649565 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2066552Z [W814 22:22:18.003890510 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2068525Z [W814 22:22:18.004091537 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2070984Z [W814 22:22:18.004332774 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2072819Z [W814 22:22:18.004526699 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2075563Z [W814 22:22:18.004788915 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2078182Z [W814 22:22:18.005026050 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2080063Z [W814 22:22:18.005222298 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2084273Z [W814 22:22:18.005465723 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2084534Z [W814 22:22:18.005652320 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2086388Z [W814 22:22:18.005871266 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2088572Z [W814 22:22:18.006074433 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2090629Z [W814 22:22:18.006298689 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2092542Z [W814 22:22:18.006492195 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2094748Z [W814 22:22:18.006717571 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2096745Z [W814 22:22:18.006909548 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2099140Z [W814 22:22:18.007139154 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2101018Z [W814 22:22:18.007331100 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2103191Z [W814 22:22:18.007554457 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2104952Z [W814 22:22:18.007741743 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2107296Z [W814 22:22:18.007961990 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2109243Z [W814 22:22:18.008164526 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2111408Z [W814 22:22:18.008387331 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2113341Z [W814 22:22:18.008575429 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2117300Z [W814 22:22:18.008796695 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2117568Z [W814 22:22:18.008983742 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2119718Z [W814 22:22:18.009208308 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2121672Z [W814 22:22:18.009409214 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2123860Z [W814 22:22:18.009632230 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2125721Z [W814 22:22:18.009821367 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2128286Z [W814 22:22:18.010044673 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2130033Z [W814 22:22:18.010231460 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2132094Z [W814 22:22:18.010447456 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2133765Z [W814 22:22:18.010629803 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2135968Z [W814 22:22:18.010844609 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2138163Z [W814 22:22:18.011039505 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2139958Z [W814 22:22:18.011254041 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2141824Z [W814 22:22:18.011435989 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2157687Z [W814 22:22:18.012967362 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2161568Z [W814 22:22:18.013360315 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2165633Z [W814 22:22:18.013782797 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2169129Z [W814 22:22:18.014124722 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2172950Z [W814 22:22:18.014513095 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2176419Z [W814 22:22:18.014853929 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2181243Z [W814 22:22:18.015327761 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2186978Z [W814 22:22:18.015721454 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2188968Z [W814 22:22:18.016110947 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2192177Z [W814 22:22:18.016434441 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2195906Z [W814 22:22:18.016809295 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2199553Z [W814 22:22:18.017145159 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2203193Z [W814 22:22:18.017518992 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2206291Z [W814 22:22:18.017844297 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2209972Z [W814 22:22:18.018214380 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2213227Z [W814 22:22:18.018539845 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2216849Z [W814 22:22:18.018896498 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2220250Z [W814 22:22:18.019238382 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2223691Z [W814 22:22:18.019590166 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2226995Z [W814 22:22:18.019910360 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2230478Z [W814 22:22:18.020261414 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2233620Z [W814 22:22:18.020582059 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2237036Z [W814 22:22:18.020923292 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2240403Z [W814 22:22:18.021251807 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2243807Z [W814 22:22:18.021594320 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2247034Z [W814 22:22:18.021912126 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2250492Z [W814 22:22:18.022253700 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2253603Z [W814 22:22:18.022573474 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2256846Z [W814 22:22:18.022901028 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2260149Z [W814 22:22:18.023226542 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2263291Z [W814 22:22:18.023546397 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2268478Z [W814 22:22:18.023864281 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2269886Z [W814 22:22:18.024193106 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2273166Z [W814 22:22:18.024532640 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2276332Z [W814 22:22:18.024855823 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2281080Z [W814 22:22:18.025298556 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2284005Z [W814 22:22:18.025618281 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2288277Z [W814 22:22:18.026024764 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2292767Z [W814 22:22:18.026496125 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2300490Z [W814 22:22:18.027249502 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2303836Z [W814 22:22:18.027597136 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2308119Z [W814 22:22:18.028018808 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2311273Z [W814 22:22:18.028344263 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2315531Z [W814 22:22:18.028752586 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2318754Z [W814 22:22:18.029084550 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2322939Z [W814 22:22:18.029498633 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2325921Z [W814 22:22:18.029820437 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2330290Z [W814 22:22:18.030226100 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2333301Z [W814 22:22:18.030551784 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2337370Z [W814 22:22:18.030939517 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2340495Z [W814 22:22:18.031269251 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2344362Z [W814 22:22:18.031654995 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2347644Z [W814 22:22:18.031972950 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2351473Z [W814 22:22:18.032361033 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2354552Z [W814 22:22:18.032680247 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2358559Z [W814 22:22:18.033061340 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2361751Z [W814 22:22:18.033389335 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2365444Z [W814 22:22:18.033758848 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2368795Z [W814 22:22:18.034088093 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2372332Z [W814 22:22:18.034451767 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2375505Z [W814 22:22:18.034770630 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2379379Z [W814 22:22:18.035140314 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2382453Z [W814 22:22:18.035463829 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2386098Z [W814 22:22:18.035820042 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2389359Z [W814 22:22:18.036144987 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2392817Z [W814 22:22:18.036497740 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2395922Z [W814 22:22:18.036817495 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2399485Z [W814 22:22:18.037162938 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2405043Z [W814 22:22:18.037719510 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2412149Z [W814 22:22:18.038412747 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2415255Z [W814 22:22:18.038747071 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2419043Z [W814 22:22:18.039106395 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2423714Z [W814 22:22:18.039434139 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2425611Z [W814 22:22:18.039770913 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2428929Z [W814 22:22:18.040101797 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2432096Z [W814 22:22:18.040433171 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2435404Z [W814 22:22:18.040756736 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2438806Z [W814 22:22:18.041093799 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2442078Z [W814 22:22:18.041419694 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2445227Z [W814 22:22:18.041743679 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2448652Z [W814 22:22:18.042074513 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2451841Z [W814 22:22:18.042406017 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2456484Z [W814 22:22:18.042740811 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2458722Z [W814 22:22:18.043081815 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2462521Z [W814 22:22:18.043464088 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2465607Z [W814 22:22:18.043784573 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2469408Z [W814 22:22:18.044156637 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2472494Z [W814 22:22:18.044472871 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2476031Z [W814 22:22:18.044830805 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2479568Z [W814 22:22:18.045155899 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2483091Z [W814 22:22:18.045515193 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2486054Z [W814 22:22:18.045830717 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2489790Z [W814 22:22:18.046189641 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2492952Z [W814 22:22:18.046507305 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2496280Z [W814 22:22:18.046849679 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2499748Z [W814 22:22:18.047177493 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2502968Z [W814 22:22:18.047515358 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2506125Z [W814 22:22:18.047835652 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2509569Z [W814 22:22:18.048173896 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2512801Z [W814 22:22:18.048496521 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2515987Z [W814 22:22:18.048823795 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2519616Z [W814 22:22:18.049153099 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2523022Z [W814 22:22:18.049508443 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2530136Z [W814 22:22:18.050092342 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2534580Z [W814 22:22:18.050662492 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2538120Z [W814 22:22:18.051015346 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2541319Z [W814 22:22:18.051348231 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2544819Z [W814 22:22:18.051677295 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2548212Z [W814 22:22:18.052021519 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2551673Z [W814 22:22:18.052373233 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2554881Z [W814 22:22:18.052695717 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2558326Z [W814 22:22:18.053041581 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2561626Z [W814 22:22:18.053375905 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2565056Z [W814 22:22:18.053708899 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2568453Z [W814 22:22:18.054040913 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2571520Z [W814 22:22:18.054365818 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2574770Z [W814 22:22:18.054685823 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2578028Z [W814 22:22:18.055017167 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2581143Z [W814 22:22:18.055335591 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:18.2585085Z [W814 22:22:18.055726194 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:25.5357746Z Compilation time (from dynamo_timed): 6.686441597 2025-08-14T22:22:25.5405329Z pass 2025-08-14T22:22:25.5430296Z TIMING: gc:0.00246 entire_frame_compile:6.68644 backend_compile:0.00056 total_wall_time:6.68644 2025-08-14T22:22:25.5431314Z STATS: call_* op count: 435 | FakeTensorMode.__torch_dispatch__:5136 | FakeTensor.__torch_dispatch__:18 2025-08-14T22:22:25.5431767Z Dynamo produced 2 graphs covering 435 ops with 6 graph breaks (5 unique) 2025-08-14T22:22:28.8597751Z 2025-08-14T22:22:28.9833993Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::length_error' 2025-08-14T22:22:28.9834631Z what(): basic_string::_M_create 2025-08-14T22:22:29.0998023Z Run failed with return code: -6 2025-08-14T22:22:29.0998390Z Output: None 2025-08-14T22:22:29.1007076Z Error: None 2025-08-14T22:22:30.8965181Z 2025-08-14T22:22:38.6319173Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:22:38.6319725Z loading model: 0it [00:07, ?it/s] 2025-08-14T22:22:38.6320104Z cuda train dlrm 2025-08-14T22:22:39.3929121Z Compilation time (from dynamo_timed): 0.426874938 2025-08-14T22:22:39.3929564Z pass 2025-08-14T22:22:39.3973869Z TIMING: gc:0.00193 entire_frame_compile:0.42687 backend_compile:0.00016 total_wall_time:0.42687 2025-08-14T22:22:39.3974229Z STATS: call_* op count: 40 | FakeTensorMode.__torch_dispatch__:575 | FakeTensor.__torch_dispatch__:25 2025-08-14T22:22:39.3974540Z Dynamo produced 2 graphs covering 40 ops with 6 graph breaks (5 unique) 2025-08-14T22:22:42.2764364Z 2025-08-14T22:22:42.3062683Z loading model: 0it [00:00, ?it/s]Gym has been unmaintained since 2022 and does not support NumPy 2.0 amongst other critical functionality. 2025-08-14T22:22:42.3063094Z Please upgrade to Gymnasium, the maintained drop-in replacement of Gym, or contact the authors of your software and request that they upgrade. 2025-08-14T22:22:42.3063660Z 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. 2025-08-14T22:22:42.3064026Z See the migration guide at https://gymnasium.farama.org/introduction/migration_guide/ for additional information. 2025-08-14T22:22:51.7932079Z 2025-08-14T22:22:51.7932666Z loading model: 0it [00:09, ?it/s] 2025-08-14T22:22:51.7932927Z cuda train drq 2025-08-14T22:22:51.7952341Z [W814 22:22:51.592341149 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:51.8547993Z [W814 22:22:51.651531383 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:51.8548789Z [W814 22:22:51.651853238 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:51.8549461Z [W814 22:22:51.651948866 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:51.9052033Z [W814 22:22:51.702053030 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:51.9469355Z [W814 22:22:51.743746841 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:51.9470215Z [W814 22:22:51.743961137 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:51.9478554Z [W814 22:22:51.744128014 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:51.9823481Z [W814 22:22:51.779221279 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:51.9824260Z [W814 22:22:51.779530875 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:51.9824970Z [W814 22:22:51.779617583 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:51.9825717Z [W814 22:22:51.779693762 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:51.9840459Z [W814 22:22:51.781126616 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:51.9841826Z [W814 22:22:51.781282004 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:51.9842479Z [W814 22:22:51.781428161 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:51.9843613Z [W814 22:22:51.781558769 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:22:52.4287536Z W0814 22:22:52.427000 680881 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-08-14T22:22:53.9258491Z Compilation time (from dynamo_timed): 1.802799441 2025-08-14T22:22:53.9258937Z pass 2025-08-14T22:22:53.9266894Z TIMING: gc:0.00272 entire_frame_compile:1.8028 backend_compile:0.00052 total_wall_time:1.8028 2025-08-14T22:22:53.9267437Z STATS: call_* op count: 174 | FakeTensor.__torch_dispatch__:245 | FakeTensorMode.__torch_dispatch__:867 2025-08-14T22:22:53.9267919Z Dynamo produced 5 graphs covering 174 ops with 7 graph breaks (5 unique) 2025-08-14T22:22:56.9741072Z 2025-08-14T22:23:02.9412867Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:23:02.9413107Z loading model: 0it [00:05, ?it/s] 2025-08-14T22:23:02.9413256Z cuda train fastNLP_Bert 2025-08-14T22:23:03.5153101Z W0814 22:23:03.514000 681640 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break from `Tensor.item()`, consider setting: 2025-08-14T22:23:03.5153580Z W0814 22:23:03.514000 681640 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] torch._dynamo.config.capture_scalar_outputs = True 2025-08-14T22:23:03.5153907Z W0814 22:23:03.514000 681640 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] or: 2025-08-14T22:23:03.5154223Z W0814 22:23:03.514000 681640 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-08-14T22:23:03.5154579Z W0814 22:23:03.514000 681640 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] to include these operations in the captured graph. 2025-08-14T22:23:03.5155170Z W0814 22:23:03.514000 681640 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-08-14T22:23:03.5161351Z W0814 22:23:03.514000 681640 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break: from user code at: 2025-08-14T22:23:03.5161862Z W0814 22:23:03.514000 681640 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 2025-08-14T22:23:03.5162427Z W0814 22:23:03.514000 681640 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] pred = mod(*cloned_inputs) 2025-08-14T22:23:03.5162852Z W0814 22:23:03.514000 681640 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 2025-08-14T22:23:03.5163275Z W0814 22:23:03.514000 681640 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] sequence_output = self.bert(words) 2025-08-14T22:23:03.5163757Z W0814 22:23:03.514000 681640 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 2025-08-14T22:23:03.5164180Z W0814 22:23:03.514000 681640 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] outputs = self.model(words) 2025-08-14T22:23:03.5164600Z W0814 22:23:03.514000 681640 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 2025-08-14T22:23:03.5165511Z W0814 22:23:03.514000 681640 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) 2025-08-14T22:23:03.5165879Z W0814 22:23:03.514000 681640 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-08-14T22:23:03.5166109Z W0814 22:23:03.514000 681640 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-08-14T22:23:05.4275479Z Compilation time (from dynamo_timed): 1.833991613 2025-08-14T22:23:05.4293702Z pass 2025-08-14T22:23:05.4544940Z TIMING: gc:0.00455 entire_frame_compile:1.83399 backend_compile:0.00062 total_wall_time:1.83399 2025-08-14T22:23:05.4545454Z STATS: call_* op count: 448 | FakeTensorMode.__torch_dispatch__:3643 | FakeTensor.__torch_dispatch__:66 2025-08-14T22:23:05.4545897Z Dynamo produced 7 graphs covering 448 ops with 10 graph breaks (6 unique) 2025-08-14T22:23:08.1685249Z 2025-08-14T22:23:13.0010021Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:23:13.0010458Z loading model: 0it [00:04, ?it/s] 2025-08-14T22:23:13.0010796Z cuda train functorch_dp_cifar10 2025-08-14T22:23:13.0046219Z [W814 22:23:13.801667624 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.0655159Z [W814 22:23:13.862341122 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.0656358Z [W814 22:23:13.862732725 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.0658717Z [W814 22:23:13.862991221 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.0660773Z [W814 22:23:13.863214757 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.0662520Z [W814 22:23:13.863433163 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.0664581Z [W814 22:23:13.863651349 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.0666842Z [W814 22:23:13.863869965 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.0674234Z [W814 22:23:13.864132090 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.0674843Z [W814 22:23:13.864337097 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.0675200Z [W814 22:23:13.864546924 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.0675657Z [W814 22:23:13.864787509 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.0678003Z [W814 22:23:13.865013944 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.0680758Z [W814 22:23:13.865243821 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.0682756Z [W814 22:23:13.865468307 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.0684666Z [W814 22:23:13.865690563 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.0686929Z [W814 22:23:13.865918859 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.0689172Z [W814 22:23:13.866145415 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.0693335Z [W814 22:23:13.866370641 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.0693609Z [W814 22:23:13.866573628 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.1172313Z [W814 22:23:13.914207924 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.1482909Z [W814 22:23:13.945147384 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.1485824Z [W814 22:23:13.945617895 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.1488775Z [W814 22:23:13.946018608 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.1492248Z [W814 22:23:13.946422551 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.1497074Z [W814 22:23:13.946860073 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.1500865Z [W814 22:23:13.947272077 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.1505552Z [W814 22:23:13.947691878 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.1508906Z [W814 22:23:13.948086272 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.1512369Z [W814 22:23:13.948441296 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.1516290Z [W814 22:23:13.948838969 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.1520536Z [W814 22:23:13.949227362 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.1523931Z [W814 22:23:13.949599555 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.1527786Z [W814 22:23:13.949970929 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.1531234Z [W814 22:23:13.950338303 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.1535261Z [W814 22:23:13.950735896 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.1539060Z [W814 22:23:13.951117089 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.1542646Z [W814 22:23:13.951476413 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.1546148Z [W814 22:23:13.951822637 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.1550146Z [W814 22:23:13.952224530 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.1939414Z [W814 22:23:13.990917523 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.1944838Z [W814 22:23:13.991486073 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.1945575Z [W814 22:23:13.991719489 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.1947972Z [W814 22:23:13.991950455 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.1949745Z [W814 22:23:13.992165571 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.1951739Z [W814 22:23:13.992379057 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.1953865Z [W814 22:23:13.992582964 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.1955742Z [W814 22:23:13.992787410 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.1958175Z [W814 22:23:13.993020797 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.1960087Z [W814 22:23:13.993227733 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.1962087Z [W814 22:23:13.993448958 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.1964550Z [W814 22:23:13.993677845 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.1969363Z [W814 22:23:13.993887810 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.1970869Z [W814 22:23:13.994135017 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.1971377Z [W814 22:23:13.994354893 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.1973462Z [W814 22:23:13.994580459 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.1975613Z [W814 22:23:13.994793965 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.1977661Z [W814 22:23:13.995007801 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.1979613Z [W814 22:23:13.995211388 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.1981933Z [W814 22:23:13.995414064 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.1999133Z [W814 22:23:13.997103314 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.2005531Z [W814 22:23:13.997762733 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.2009297Z [W814 22:23:13.998137547 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.2013135Z [W814 22:23:13.998529280 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.2017621Z [W814 22:23:13.998961422 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.2022184Z [W814 22:23:13.999427544 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.2025888Z [W814 22:23:13.999808118 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.2029976Z [W814 22:23:13.000197851 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.2033405Z [W814 22:23:13.000559835 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.2039345Z [W814 22:23:13.000926628 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.2041233Z [W814 22:23:13.001324531 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.2044956Z [W814 22:23:13.001694224 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.2048746Z [W814 22:23:13.002083138 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.2052304Z [W814 22:23:13.002444261 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.2055943Z [W814 22:23:13.002814175 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.2060070Z [W814 22:23:13.003203228 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.2063526Z [W814 22:23:13.003572192 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.2067303Z [W814 22:23:13.003944625 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.2071125Z [W814 22:23:13.004319769 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:13.2075829Z [W814 22:23:13.004794750 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:14.0927895Z W0814 22:23:14.091000 681934 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-08-14T22:23:16.6887630Z Compilation time (from dynamo_timed): 3.248815036 2025-08-14T22:23:16.6891336Z pass 2025-08-14T22:23:16.6918484Z TIMING: gc:0.00265 entire_frame_compile:3.24882 backend_compile:0.00053 total_wall_time:3.24882 2025-08-14T22:23:16.6919049Z STATS: call_* op count: 402 | FakeTensorMode.__torch_dispatch__:1391 | FakeTensor.__torch_dispatch__:762 2025-08-14T22:23:16.6927388Z Dynamo produced 3 graphs covering 402 ops with 7 graph breaks (5 unique) 2025-08-14T22:23:20.2894001Z 2025-08-14T22:23:25.0332558Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:23:25.0333044Z loading model: 0it [00:04, ?it/s] 2025-08-14T22:23:25.0333395Z cuda train functorch_maml_omniglot 2025-08-14T22:23:25.0353664Z [W814 22:23:25.832324983 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:25.1104816Z [W814 22:23:25.907448779 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:25.1109417Z [W814 22:23:25.907993129 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:25.1608368Z [W814 22:23:25.957740549 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:25.1962100Z [W814 22:23:25.993081071 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:25.1966072Z [W814 22:23:25.993609802 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:25.2308933Z [W814 22:23:25.027705295 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:25.2313294Z [W814 22:23:25.028258286 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:25.2313932Z [W814 22:23:25.028520611 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:25.2322701Z [W814 22:23:25.029367697 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:25.2326703Z [W814 22:23:25.029834738 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:25.2331934Z [W814 22:23:25.030382339 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:23:25.5706800Z W0814 22:23:25.570000 682228 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-08-14T22:23:26.5486290Z Compilation time (from dynamo_timed): 1.179776765 2025-08-14T22:23:26.5486698Z pass 2025-08-14T22:23:26.5489179Z TIMING: gc:0.00207 entire_frame_compile:1.17978 backend_compile:0.0003 total_wall_time:1.17978 2025-08-14T22:23:26.5489518Z STATS: call_* op count: 107 | FakeTensor.__torch_dispatch__:188 | FakeTensorMode.__torch_dispatch__:274 2025-08-14T22:23:26.5489808Z Dynamo produced 3 graphs covering 107 ops with 7 graph breaks (5 unique) 2025-08-14T22:23:29.6861021Z 2025-08-14T22:23:34.4402992Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:23:34.4403435Z loading model: 0it [00:04, ?it/s] 2025-08-14T22:23:34.4412364Z cuda train hf_Albert 2025-08-14T22:23:36.6398012Z W0814 22:23:36.638000 682522 site-packages/torch/_logging/_internal.py:1199] [5/0] Profiler function will be ignored 2025-08-14T22:23:37.9295571Z Compilation time (from dynamo_timed): 2.815028989 2025-08-14T22:23:37.9303702Z pass 2025-08-14T22:23:37.9425277Z TIMING: gc:0.00217 entire_frame_compile:2.81503 backend_compile:0.00041 total_wall_time:2.81503 2025-08-14T22:23:37.9425977Z STATS: call_* op count: 532 | FakeTensorMode.__torch_dispatch__:5148 | FakeTensor.__torch_dispatch__:373 2025-08-14T22:23:37.9431596Z Dynamo produced 3 graphs covering 532 ops with 6 graph breaks (5 unique) 2025-08-14T22:23:41.0703171Z 2025-08-14T22:23:48.2273853Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:23:48.2274143Z loading model: 0it [00:07, ?it/s] 2025-08-14T22:23:48.2274373Z cuda train hf_Bart 2025-08-14T22:23:52.0865493Z W0814 22:23:52.085000 682816 site-packages/torch/_logging/_internal.py:1199] [5/0] Profiler function will be ignored 2025-08-14T22:23:57.8031272Z Compilation time (from dynamo_timed): 8.655409649 2025-08-14T22:23:57.8058784Z pass 2025-08-14T22:23:57.8199862Z TIMING: gc:0.00385 entire_frame_compile:8.65541 backend_compile:0.00085 total_wall_time:8.65541 2025-08-14T22:23:57.8200680Z STATS: call_* op count: 1830 | FakeTensorMode.__torch_dispatch__:7884 | FakeTensor.__torch_dispatch__:3138 2025-08-14T22:23:57.8201375Z Dynamo produced 3 graphs covering 1830 ops with 6 graph breaks (5 unique) 2025-08-14T22:24:01.8350371Z 2025-08-14T22:24:08.2664431Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:24:08.2664724Z loading model: 0it [00:06, ?it/s] 2025-08-14T22:24:08.2665584Z cuda train hf_Bert 2025-08-14T22:24:11.7856296Z W0814 22:24:11.784000 683110 site-packages/torch/_logging/_internal.py:1199] [5/0] Profiler function will be ignored 2025-08-14T22:24:16.5311457Z Compilation time (from dynamo_timed): 7.449546315 2025-08-14T22:24:16.5325162Z pass 2025-08-14T22:24:16.5448721Z TIMING: gc:0.00568 entire_frame_compile:7.44955 backend_compile:0.00112 total_wall_time:7.44955 2025-08-14T22:24:16.5452747Z STATS: call_* op count: 1322 | FakeTensorMode.__torch_dispatch__:5680 | FakeTensor.__torch_dispatch__:2452 2025-08-14T22:24:16.5453225Z Dynamo produced 3 graphs covering 1322 ops with 6 graph breaks (5 unique) 2025-08-14T22:24:20.6190774Z 2025-08-14T22:24:28.4875872Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:24:28.4876340Z loading model: 0it [00:07, ?it/s] 2025-08-14T22:24:28.4876942Z cuda train hf_Bert_large 2025-08-14T22:24:35.4389983Z W0814 22:24:35.438000 683404 site-packages/torch/_logging/_internal.py:1199] [5/0] Profiler function will be ignored 2025-08-14T22:24:43.5193935Z Compilation time (from dynamo_timed): 13.703654068 2025-08-14T22:24:43.5236737Z pass 2025-08-14T22:24:43.5578063Z TIMING: gc:0.00518 entire_frame_compile:13.70365 backend_compile:0.00313 total_wall_time:13.70365 2025-08-14T22:24:43.5578368Z STATS: call_* op count: 2546 | FakeTensorMode.__torch_dispatch__:10912 | FakeTensor.__torch_dispatch__:4756 2025-08-14T22:24:43.5578633Z Dynamo produced 3 graphs covering 2546 ops with 6 graph breaks (5 unique) 2025-08-14T22:24:47.8294099Z 2025-08-14T22:24:48.6408317Z 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. 2025-08-14T22:24:48.6410452Z - 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 2025-08-14T22:24:48.6412307Z - 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). 2025-08-14T22:24:48.6413390Z - If you are not the owner of the model architecture class, please contact the model code owner to update it. 2025-08-14T22:24:48.6415583Z 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. 2025-08-14T22:24:48.6417430Z - 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 2025-08-14T22:24:48.6422971Z - 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). 2025-08-14T22:24:48.6423719Z - If you are not the owner of the model architecture class, please contact the model code owner to update it. 2025-08-14T22:24:54.5470573Z 2025-08-14T22:24:54.5471550Z loading model: 0it [00:06, ?it/s] 2025-08-14T22:24:54.5471878Z cuda train hf_BigBird 2025-08-14T22:25:02.2115392Z W0814 22:25:02.210000 683698 site-packages/torch/_logging/_internal.py:1199] [5/0] Profiler function will be ignored 2025-08-14T22:25:06.5264059Z Compilation time (from dynamo_timed): 10.58187081 2025-08-14T22:25:06.5315678Z pass 2025-08-14T22:25:06.5668646Z TIMING: gc:0.00413 entire_frame_compile:10.58187 backend_compile:0.00088 total_wall_time:10.58187 2025-08-14T22:25:06.5670304Z STATS: call_* op count: 4383 | FakeTensorMode.__torch_dispatch__:29356 | FakeTensor.__torch_dispatch__:2518 2025-08-14T22:25:06.5671124Z Dynamo produced 3 graphs covering 4383 ops with 6 graph breaks (5 unique) 2025-08-14T22:25:10.1774965Z 2025-08-14T22:25:16.0581554Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:25:16.0581997Z loading model: 0it [00:05, ?it/s] 2025-08-14T22:25:16.0582130Z cuda train hf_DistilBert 2025-08-14T22:25:18.1457325Z W0814 22:25:18.144000 683992 site-packages/torch/_logging/_internal.py:1199] [5/0] Profiler function will be ignored 2025-08-14T22:25:21.0417296Z Compilation time (from dynamo_timed): 4.346444944 2025-08-14T22:25:21.0428233Z pass 2025-08-14T22:25:21.0483714Z TIMING: gc:0.00338 entire_frame_compile:4.34644 backend_compile:0.00066 total_wall_time:4.34644 2025-08-14T22:25:21.0488600Z STATS: call_* op count: 701 | FakeTensorMode.__torch_dispatch__:3018 | FakeTensor.__torch_dispatch__:1288 2025-08-14T22:25:21.0488887Z Dynamo produced 3 graphs covering 701 ops with 6 graph breaks (5 unique) 2025-08-14T22:25:24.8461644Z 2025-08-14T22:25:31.7729360Z loading model: 0it [00:00, ?it/s]`loss_type=None` was set in the config but it is unrecognised.Using the default loss: `ForCausalLMLoss`. 2025-08-14T22:25:31.7729785Z WARNING:transformers.modeling_utils:`loss_type=None` was set in the config but it is unrecognised.Using the default loss: `ForCausalLMLoss`. 2025-08-14T22:25:33.2236974Z 2025-08-14T22:25:33.2238035Z loading model: 0it [00:08, ?it/s] 2025-08-14T22:25:33.2238301Z cuda train hf_GPT2 2025-08-14T22:25:36.9083908Z W0814 22:25:36.907000 684286 site-packages/torch/_logging/_internal.py:1199] [11/0] Profiler function will be ignored 2025-08-14T22:25:40.7259709Z Compilation time (from dynamo_timed): 6.662158959 2025-08-14T22:25:40.7275472Z pass 2025-08-14T22:25:40.7489604Z TIMING: gc:0.00335 entire_frame_compile:6.66216 backend_compile:0.00086 total_wall_time:6.66216 2025-08-14T22:25:40.7490194Z STATS: call_* op count: 1333 | FakeTensorMode.__torch_dispatch__:7413 | FakeTensor.__torch_dispatch__:1836 2025-08-14T22:25:40.7490451Z Dynamo produced 6 graphs covering 1333 ops with 8 graph breaks (6 unique) 2025-08-14T22:25:44.4619406Z 2025-08-14T22:25:56.5848505Z loading model: 0it [00:00, ?it/s]`loss_type=None` was set in the config but it is unrecognised.Using the default loss: `ForCausalLMLoss`. 2025-08-14T22:25:56.5848910Z WARNING:transformers.modeling_utils:`loss_type=None` was set in the config but it is unrecognised.Using the default loss: `ForCausalLMLoss`. 2025-08-14T22:25:58.0755943Z 2025-08-14T22:25:58.0756697Z loading model: 0it [00:13, ?it/s] 2025-08-14T22:25:58.0757152Z cuda train hf_GPT2_large 2025-08-14T22:25:58.0768017Z Compilation time (from dynamo_timed): 0 2025-08-14T22:25:58.0768267Z pass_due_to_skip 2025-08-14T22:25:58.1634040Z TIMING: total_wall_time:0 2025-08-14T22:25:58.1634301Z STATS: call_* op count: 0 2025-08-14T22:25:58.1634585Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique) 2025-08-14T22:26:01.3177339Z 2025-08-14T22:26:08.7948832Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:26:08.7957296Z loading model: 0it [00:07, ?it/s] 2025-08-14T22:26:08.7957795Z cuda train hf_Longformer 2025-08-14T22:26:10.0860811Z W0814 22:26:10.085000 684876 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break from `Tensor.item()`, consider setting: 2025-08-14T22:26:10.0861403Z W0814 22:26:10.085000 684876 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] torch._dynamo.config.capture_scalar_outputs = True 2025-08-14T22:26:10.0861817Z W0814 22:26:10.085000 684876 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] or: 2025-08-14T22:26:10.0862216Z W0814 22:26:10.085000 684876 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-08-14T22:26:10.0862688Z W0814 22:26:10.085000 684876 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] to include these operations in the captured graph. 2025-08-14T22:26:10.0863087Z W0814 22:26:10.085000 684876 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-08-14T22:26:10.0863802Z W0814 22:26:10.085000 684876 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break: from user code at: 2025-08-14T22:26:10.0864423Z W0814 22:26:10.085000 684876 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 2025-08-14T22:26:10.0870559Z W0814 22:26:10.085000 684876 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] pred = mod(**cloned_inputs) 2025-08-14T22:26:10.0871210Z W0814 22:26:10.085000 684876 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 2025-08-14T22:26:10.0871745Z W0814 22:26:10.085000 684876 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] outputs = self.longformer( 2025-08-14T22:26:10.0872248Z W0814 22:26:10.085000 684876 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 2025-08-14T22:26:10.0872751Z W0814 22:26:10.085000 684876 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] encoder_outputs = self.encoder( 2025-08-14T22:26:10.0873258Z W0814 22:26:10.085000 684876 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 2025-08-14T22:26:10.0873788Z W0814 22:26:10.085000 684876 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] is_global_attn = is_index_global_attn.flatten().any().item() 2025-08-14T22:26:10.0874221Z W0814 22:26:10.085000 684876 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-08-14T22:26:10.0874470Z W0814 22:26:10.085000 684876 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-08-14T22:26:13.1554583Z W0814 22:26:13.154000 684876 site-packages/torch/_logging/_internal.py:1199] [19/0] Profiler function will be ignored 2025-08-14T22:26:18.2196815Z Compilation time (from dynamo_timed): 7.968195053 2025-08-14T22:26:18.2230558Z pass 2025-08-14T22:26:18.2313612Z TIMING: gc:0.00545 entire_frame_compile:7.9682 backend_compile:0.00121 total_wall_time:7.9682 2025-08-14T22:26:18.2320017Z STATS: call_* op count: 2774 | FakeTensorMode.__torch_dispatch__:7823 | FakeTensor.__torch_dispatch__:2578 2025-08-14T22:26:18.2320408Z Dynamo produced 8 graphs covering 2774 ops with 10 graph breaks (6 unique) 2025-08-14T22:26:22.1971918Z 2025-08-14T22:26:23.5782260Z 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)`. 2025-08-14T22:26:23.5784772Z 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)`. 2025-08-14T22:26:27.7503012Z 2025-08-14T22:26:27.7503403Z loading model: 0it [00:05, ?it/s] 2025-08-14T22:26:27.7503642Z cuda train hf_Reformer 2025-08-14T22:26:35.5459127Z W0814 22:26:35.544000 685170 site-packages/torch/_logging/_internal.py:1199] [35/0] Profiler function will be ignored 2025-08-14T22:26:37.6140341Z Compilation time (from dynamo_timed): 8.917048092 2025-08-14T22:26:37.6142672Z pass 2025-08-14T22:26:37.6195192Z TIMING: gc:0.01415 entire_frame_compile:8.91705 backend_compile:0.0019 total_wall_time:8.91705 2025-08-14T22:26:37.6195782Z STATS: call_* op count: 853 | FakeTensorMode.__torch_dispatch__:3214 | FakeTensor.__torch_dispatch__:1080 | attempt fast:22 | fast is_contiguous:22 2025-08-14T22:26:37.6196754Z Dynamo produced 18 graphs covering 853 ops with 25 graph breaks (10 unique) 2025-08-14T22:26:41.7745920Z 2025-08-14T22:26:49.9301676Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:26:49.9301961Z loading model: 0it [00:08, ?it/s] 2025-08-14T22:26:49.9302169Z cuda train hf_Roberta_base 2025-08-14T22:26:53.5400197Z W0814 22:26:53.538000 686756 site-packages/torch/_logging/_internal.py:1199] [5/0] Profiler function will be ignored 2025-08-14T22:26:57.9992101Z Compilation time (from dynamo_timed): 7.169123986 2025-08-14T22:26:58.0006774Z pass 2025-08-14T22:26:58.0124363Z TIMING: gc:0.00565 entire_frame_compile:7.16912 backend_compile:0.00098 total_wall_time:7.16912 2025-08-14T22:26:58.0124859Z STATS: call_* op count: 1330 | FakeTensorMode.__torch_dispatch__:5703 | FakeTensor.__torch_dispatch__:2452 2025-08-14T22:26:58.0125301Z Dynamo produced 3 graphs covering 1330 ops with 6 graph breaks (5 unique) 2025-08-14T22:27:01.4557344Z 2025-08-14T22:27:07.9450690Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:27:07.9459366Z loading model: 0it [00:06, ?it/s] 2025-08-14T22:27:07.9459592Z cuda train hf_T5 2025-08-14T22:27:11.8898085Z Compilation time (from dynamo_timed): 3.078235678 2025-08-14T22:27:11.8916715Z pass 2025-08-14T22:27:11.8991646Z TIMING: gc:0.00163 entire_frame_compile:3.07824 backend_compile:0.00029 total_wall_time:3.07824 2025-08-14T22:27:11.8992020Z STATS: call_* op count: 833 | FakeTensorMode.__torch_dispatch__:9291 | FakeTensor.__torch_dispatch__:29 2025-08-14T22:27:11.8992349Z Dynamo produced 2 graphs covering 833 ops with 5 graph breaks (5 unique) 2025-08-14T22:27:15.2640983Z 2025-08-14T22:27:24.4770960Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:27:24.4771443Z loading model: 0it [00:09, ?it/s] 2025-08-14T22:27:24.4772566Z cuda train hf_T5_base 2025-08-14T22:27:32.7995380Z Compilation time (from dynamo_timed): 6.626298355 2025-08-14T22:27:32.8042438Z pass 2025-08-14T22:27:32.8283280Z TIMING: gc:0.00141 entire_frame_compile:6.6263 backend_compile:0.0005 total_wall_time:6.6263 2025-08-14T22:27:32.8289974Z STATS: call_* op count: 1553 | FakeTensorMode.__torch_dispatch__:17991 | FakeTensor.__torch_dispatch__:29 2025-08-14T22:27:32.8290462Z Dynamo produced 2 graphs covering 1553 ops with 5 graph breaks (5 unique) 2025-08-14T22:27:36.3109252Z 2025-08-14T22:27:49.3814446Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:27:49.3814781Z loading model: 0it [00:13, ?it/s] 2025-08-14T22:27:49.3822421Z cuda train hf_T5_large 2025-08-14T22:27:49.3822758Z Compilation time (from dynamo_timed): 0 2025-08-14T22:27:49.3823015Z pass_due_to_skip 2025-08-14T22:27:49.4679077Z TIMING: total_wall_time:0 2025-08-14T22:27:49.4680078Z STATS: call_* op count: 0 2025-08-14T22:27:49.4680345Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique) 2025-08-14T22:27:52.3957278Z 2025-08-14T22:27:58.1014333Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:27:58.1020343Z loading model: 0it [00:05, ?it/s] 2025-08-14T22:27:58.1020570Z cuda train hf_Whisper 2025-08-14T22:27:58.1054248Z [W814 22:27:58.902415969 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:27:58.1667781Z [W814 22:27:58.963642800 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:27:58.3245366Z [W814 22:27:58.121463076 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:27:58.3248828Z [W814 22:27:58.121931877 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:27:58.3650613Z [W814 22:27:58.161921779 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:27:58.3653806Z [W814 22:27:58.162383291 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:27:58.3732724Z [W814 22:27:58.170325473 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:27:58.3735754Z [W814 22:27:58.170683047 NNPACK.cpp:56] Could not initialize NNPACK! Reason: Unsupported hardware. 2025-08-14T22:27:59.3354545Z W0814 22:27:59.334000 687930 site-packages/torch/_logging/_internal.py:1199] [5/0] Profiler function will be ignored 2025-08-14T22:28:01.6200842Z Compilation time (from dynamo_timed): 2.999284987 2025-08-14T22:28:01.6201197Z pass 2025-08-14T22:28:01.6216792Z TIMING: gc:0.00339 entire_frame_compile:2.99928 backend_compile:0.00046 total_wall_time:2.99928 2025-08-14T22:28:01.6217078Z STATS: call_* op count: 514 | FakeTensorMode.__torch_dispatch__:2142 | FakeTensor.__torch_dispatch__:868 2025-08-14T22:28:01.6217330Z Dynamo produced 3 graphs covering 514 ops with 6 graph breaks (5 unique) 2025-08-14T22:28:05.0343787Z 2025-08-14T22:28:05.2449714Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:28:05.2450153Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:28:05.2450507Z cuda train hf_distil_whisper 2025-08-14T22:28:05.2450932Z Traceback (most recent call last): 2025-08-14T22:28:05.2451440Z File "/var/lib/jenkins/pytorch/benchmarks/dynamo/common.py", line 4124, in run 2025-08-14T22:28:05.2451938Z ) = runner.load_model( 2025-08-14T22:28:05.2458209Z File "/var/lib/jenkins/pytorch/benchmarks/dynamo/torchbench.py", line 325, in load_model 2025-08-14T22:28:05.2458503Z benchmark = benchmark_cls( 2025-08-14T22:28:05.2458724Z File "/torchbench/torchbenchmark/util/model.py", line 43, in __call__ 2025-08-14T22:28:05.2458959Z obj = type.__call__(cls, *args, **kwargs) 2025-08-14T22:28:05.2459236Z File "/torchbench/torchbenchmark/models/hf_distil_whisper/__init__.py", line 13, in __init__ 2025-08-14T22:28:05.2459741Z raise NotImplementedError("Training is not implemented.") 2025-08-14T22:28:05.2459969Z NotImplementedError: Training is not implemented. 2025-08-14T22:28:05.2460105Z 2025-08-14T22:28:05.2460156Z model_fail_to_load 2025-08-14T22:28:07.5257613Z 2025-08-14T22:28:11.3810449Z loading model: 0it [00:00, ?it/s] 2025-08-14T22:28:11.3810923Z loading model: 0it [00:03, ?it/s] 2025-08-14T22:28:11.3811275Z cuda train lennard_jones 2025-08-14T22:28:11.8352321Z W0814 22:28:11.834000 688355 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-08-14T22:28:12.7089913Z Compilation time (from dynamo_timed): 1.020600814 2025-08-14T22:28:12.7090348Z pass 2025-08-14T22:28:12.7090796Z TIMING: gc:0.002 entire_frame_compile:1.0206 backend_compile:0.00028 total_wall_time:1.0206 2025-08-14T22:28:12.7091527Z STATS: call_* op count: 82 | FakeTensor.__torch_dispatch__:138 | FakeTensorMode.__torch_dispatch__:286 2025-08-14T22:28:12.7092160Z Dynamo produced 3 graphs covering 82 ops with 7 graph breaks (5 unique) 2025-08-14T22:28:13.8626681Z accuracy pass_rate=82.86% 2025-08-14T22:28:13.8627594Z calls_captured gmean=0.00x mean=693.629x 2025-08-14T22:28:13.8628388Z unique_graphs gmean=0.00x mean=3.543x 2025-08-14T22:28:13.8630169Z graph_breaks gmean=0.00x mean=6.629x 2025-08-14T22:28:13.8638968Z unique_graph_breaks gmean=0.00x mean=4.457x 2025-08-14T22:28:13.8639271Z autograd_captures gmean=0.00x mean=0.000x 2025-08-14T22:28:13.8639523Z autograd_compiles gmean=0.00x mean=0.000x 2025-08-14T22:28:13.8639920Z cudagraph_skips gmean=0.00x mean=0.000x 2025-08-14T22:28:13.8640173Z compilation_latency mean=3.435 seconds 2025-08-14T22:28:14.5256159Z + python benchmarks/dynamo/check_accuracy.py --actual /var/lib/jenkins/pytorch/test/test-reports/training_torchbench.csv --expected benchmarks/dynamo/ci_expected_accuracy/rocm/dynamo_eager_torchbench_training.csv 2025-08-14T22:28:14.7041087Z torchrec_dlrm FAIL_BUT_FLAKY: accuracy=eager_fail_to_run, expected=pass 2025-08-14T22:28:14.7041668Z BERT_pytorch PASS 2025-08-14T22:28:14.7041952Z Background_Matting XFAIL 2025-08-14T22:28:14.7043007Z LearningToPaint PASS 2025-08-14T22:28:14.7045649Z Super_SloMo PASS 2025-08-14T22:28:14.7046256Z alexnet FAIL_BUT_FLAKY: accuracy=eager_two_runs_differ, expected=pass 2025-08-14T22:28:14.7047765Z basic_gnn_edgecnn PASS 2025-08-14T22:28:14.7049518Z basic_gnn_gcn PASS 2025-08-14T22:28:14.7051026Z basic_gnn_gin PASS 2025-08-14T22:28:14.7057284Z basic_gnn_sage PASS 2025-08-14T22:28:14.7057541Z dcgan PASS 2025-08-14T22:28:14.7057699Z demucs PASS 2025-08-14T22:28:14.7057864Z densenet121 PASS 2025-08-14T22:28:14.7059465Z dlrm PASS 2025-08-14T22:28:14.7061007Z drq PASS 2025-08-14T22:28:14.7062784Z fastNLP_Bert PASS 2025-08-14T22:28:14.7064377Z functorch_dp_cifar10 PASS 2025-08-14T22:28:14.7066103Z functorch_maml_omniglot PASS 2025-08-14T22:28:14.7068059Z hf_Albert PASS 2025-08-14T22:28:14.7069475Z hf_Bart PASS 2025-08-14T22:28:14.7071120Z hf_Bert PASS 2025-08-14T22:28:14.7072704Z hf_Bert_large PASS 2025-08-14T22:28:14.7074472Z hf_BigBird PASS 2025-08-14T22:28:14.7076009Z hf_DistilBert PASS 2025-08-14T22:28:14.7077802Z hf_GPT2 PASS 2025-08-14T22:28:14.7079407Z hf_GPT2_large XFAIL 2025-08-14T22:28:14.7081211Z hf_Longformer PASS 2025-08-14T22:28:14.7086154Z hf_Reformer PASS 2025-08-14T22:28:14.7086468Z hf_Roberta_base PASS 2025-08-14T22:28:14.7086611Z hf_T5 PASS 2025-08-14T22:28:14.7087983Z hf_T5_base PASS_BUT_FLAKY: accuracy=pass, expected=eager_2nd_run_OOM 2025-08-14T22:28:14.7089497Z hf_T5_large XFAIL 2025-08-14T22:28:14.7091165Z hf_Whisper PASS 2025-08-14T22:28:14.7092757Z hf_distil_whisper XFAIL 2025-08-14T22:28:14.7094372Z lennard_jones PASS 2025-08-14T22:28:14.7352628Z + 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/dynamo_eager_torchbench_training.csv 2025-08-14T22:28:14.9150179Z torchrec_dlrm IMPROVED_BUT_FLAKY: graph_breaks=0, expected=6 2025-08-14T22:28:14.9150678Z BERT_pytorch PASS 2025-08-14T22:28:14.9151613Z Background_Matting PASS 2025-08-14T22:28:14.9152226Z LearningToPaint PASS 2025-08-14T22:28:14.9153944Z Super_SloMo PASS 2025-08-14T22:28:14.9155570Z alexnet PASS_BUT_FLAKY 2025-08-14T22:28:14.9157074Z basic_gnn_edgecnn PASS 2025-08-14T22:28:14.9158840Z basic_gnn_gcn PASS 2025-08-14T22:28:14.9160349Z basic_gnn_gin PASS 2025-08-14T22:28:14.9184235Z basic_gnn_sage PASS 2025-08-14T22:28:14.9185149Z dcgan PASS 2025-08-14T22:28:14.9185408Z demucs PASS_BUT_FLAKY 2025-08-14T22:28:14.9185574Z densenet121 PASS_BUT_FLAKY 2025-08-14T22:28:14.9185718Z dlrm PASS 2025-08-14T22:28:14.9185848Z drq PASS 2025-08-14T22:28:14.9185968Z fastNLP_Bert PASS 2025-08-14T22:28:14.9186100Z functorch_dp_cifar10 PASS 2025-08-14T22:28:14.9186233Z functorch_maml_omniglot PASS 2025-08-14T22:28:14.9186364Z hf_Albert PASS 2025-08-14T22:28:14.9186567Z hf_Bart PASS 2025-08-14T22:28:14.9186689Z hf_Bert PASS 2025-08-14T22:28:14.9187029Z hf_Bert_large PASS 2025-08-14T22:28:14.9187190Z hf_BigBird IMPROVED_BUT_FLAKY: graph_breaks=6, expected=15 2025-08-14T22:28:14.9187361Z hf_DistilBert PASS 2025-08-14T22:28:14.9187481Z hf_GPT2 PASS 2025-08-14T22:28:14.9188627Z hf_GPT2_large PASS 2025-08-14T22:28:14.9190083Z hf_Longformer FAIL_BUT_FLAKY: graph_breaks=10, expected=4 2025-08-14T22:28:14.9191620Z hf_Reformer PASS_BUT_FLAKY 2025-08-14T22:28:14.9193217Z hf_Roberta_base PASS_BUT_FLAKY 2025-08-14T22:28:14.9203691Z hf_T5 FAIL_BUT_FLAKY: graph_breaks=5, expected=0 2025-08-14T22:28:14.9203901Z hf_T5_base FAIL_BUT_FLAKY: graph_breaks=5, expected=0 2025-08-14T22:28:14.9204049Z hf_T5_large PASS 2025-08-14T22:28:14.9204165Z hf_Whisper PASS 2025-08-14T22:28:14.9204284Z hf_distil_whisper PASS 2025-08-14T22:28:14.9204396Z lennard_jones PASS 2025-08-14T22:28:14.9463835Z + sccache_epilogue 2025-08-14T22:28:14.9463973Z + echo '::group::Sccache Compilation Log' 2025-08-14T22:28:14.9464297Z ##[group]Sccache Compilation Log 2025-08-14T22:28:14.9464436Z + echo '=================== sccache compilation log ===================' 2025-08-14T22:28:14.9466550Z =================== sccache compilation log =================== 2025-08-14T22:28:14.9466796Z + python /var/lib/jenkins/pytorch/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log 2025-08-14T22:28:14.9594382Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ===========' 2025-08-14T22:28:14.9594660Z =========== If your build fails, please take a look at the log above for possible reasons =========== 2025-08-14T22:28:14.9594846Z + sccache --show-stats 2025-08-14T22:28:14.9612807Z Compile requests 3849 2025-08-14T22:28:14.9612960Z Compile requests executed 720 2025-08-14T22:28:14.9613103Z Cache hits 0 2025-08-14T22:28:14.9613229Z Cache misses 712 2025-08-14T22:28:14.9613356Z Cache misses (C/C++) 202 2025-08-14T22:28:14.9613475Z Cache misses (HIP) 510 2025-08-14T22:28:14.9616157Z Cache hits rate 0.00 % 2025-08-14T22:28:14.9616292Z Cache hits rate (C/C++) 0.00 % 2025-08-14T22:28:14.9616513Z Cache hits rate (HIP) 0.00 % 2025-08-14T22:28:14.9616631Z Cache timeouts 0 2025-08-14T22:28:14.9616752Z Cache read errors 0 2025-08-14T22:28:14.9616866Z Forced recaches 0 2025-08-14T22:28:14.9617015Z Cache write errors 0 2025-08-14T22:28:14.9617125Z Cache errors 0 2025-08-14T22:28:14.9617236Z Compilations 712 2025-08-14T22:28:14.9617351Z Compilation failures 8 2025-08-14T22:28:14.9617477Z Non-cacheable compilations 0 2025-08-14T22:28:14.9619164Z Non-cacheable calls 506 2025-08-14T22:28:14.9619298Z Non-compilation calls 2623 2025-08-14T22:28:14.9619420Z Unsupported compiler calls 0 2025-08-14T22:28:14.9619543Z Average cache write 0.008 s 2025-08-14T22:28:14.9619662Z Average compiler 19.569 s 2025-08-14T22:28:14.9619779Z Average cache read hit 0.000 s 2025-08-14T22:28:14.9619898Z Failed distributed compilations 0 2025-08-14T22:28:14.9619979Z 2025-08-14T22:28:14.9620022Z Non-cacheable reasons: 2025-08-14T22:28:14.9620125Z -M 503 2025-08-14T22:28:14.9620240Z -E 3 2025-08-14T22:28:14.9620315Z 2025-08-14T22:28:14.9620392Z Cache location Local disk: "/var/lib/jenkins/.cache/sccache" 2025-08-14T22:28:14.9620553Z Use direct/preprocessor mode? yes 2025-08-14T22:28:14.9621918Z Version (client) 0.10.0 2025-08-14T22:28:14.9622041Z Cache size 60 MiB 2025-08-14T22:28:14.9622162Z Max cache size 10 GiB 2025-08-14T22:28:14.9622282Z + sccache --stop-server 2025-08-14T22:28:14.9636724Z Stopping sccache server... 2025-08-14T22:28:14.9641064Z Compile requests 3849 2025-08-14T22:28:14.9641301Z Compile requests executed 720 2025-08-14T22:28:14.9641433Z Cache hits 0 2025-08-14T22:28:14.9641557Z Cache misses 712 2025-08-14T22:28:14.9641684Z Cache misses (C/C++) 202 2025-08-14T22:28:14.9643833Z Cache misses (HIP) 510 2025-08-14T22:28:14.9643968Z Cache hits rate 0.00 % 2025-08-14T22:28:14.9644093Z Cache hits rate (C/C++) 0.00 % 2025-08-14T22:28:14.9644213Z Cache hits rate (HIP) 0.00 % 2025-08-14T22:28:14.9644345Z Cache timeouts 0 2025-08-14T22:28:14.9644467Z Cache read errors 0 2025-08-14T22:28:14.9644603Z Forced recaches 0 2025-08-14T22:28:14.9644717Z Cache write errors 0 2025-08-14T22:28:14.9644833Z Cache errors 0 2025-08-14T22:28:14.9644951Z Compilations 712 2025-08-14T22:28:14.9646375Z Compilation failures 8 2025-08-14T22:28:14.9646623Z Non-cacheable compilations 0 2025-08-14T22:28:14.9646741Z Non-cacheable calls 506 2025-08-14T22:28:14.9646858Z Non-compilation calls 2623 2025-08-14T22:28:14.9647035Z Unsupported compiler calls 0 2025-08-14T22:28:14.9647155Z Average cache write 0.008 s 2025-08-14T22:28:14.9647280Z Average compiler 19.569 s 2025-08-14T22:28:14.9647402Z Average cache read hit 0.000 s 2025-08-14T22:28:14.9647521Z Failed distributed compilations 0 2025-08-14T22:28:14.9647602Z 2025-08-14T22:28:14.9647645Z Non-cacheable reasons: 2025-08-14T22:28:14.9647747Z -M 503 2025-08-14T22:28:14.9649031Z -E 3 2025-08-14T22:28:14.9649111Z 2025-08-14T22:28:14.9649190Z Cache location Local disk: "/var/lib/jenkins/.cache/sccache" 2025-08-14T22:28:14.9649434Z Use direct/preprocessor mode? yes 2025-08-14T22:28:14.9649556Z Version (client) 0.10.0 2025-08-14T22:28:14.9649677Z Cache size 60 MiB 2025-08-14T22:28:14.9649865Z Max cache size 10 GiB 2025-08-14T22:28:14.9650045Z + echo ::endgroup:: 2025-08-14T22:28:14.9650293Z ##[endgroup] 2025-08-14T22:28:14.9729982Z ##[group]Run # copy test results back to the mounted workspace, needed sudo, resulting permissions were correct 2025-08-14T22:28:14.9730411Z # copy test results back to the mounted workspace, needed sudo, resulting permissions were correct 2025-08-14T22:28:14.9730778Z docker exec -t "cbf3b0a8abdf2aaef99252863c1a7b7664de3443159bc42c194375d78ba5c23d" sh -c "cd ../pytorch && sudo cp -R test/test-reports ../workspace/test" 2025-08-14T22:28:14.9736782Z shell: /usr/bin/bash -e {0} 2025-08-14T22:28:14.9736894Z env: 2025-08-14T22:28:14.9736986Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:28:14.9737125Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:28:14.9737299Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:28:14.9737470Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:28:14.9737897Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:28:14.9738286Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:28:14.9738411Z AWS_REGION: us-east-1 2025-08-14T22:28:14.9738598Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:28:14.9738758Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:28:14.9740810Z AWS_SESSION_TOKEN: *** 2025-08-14T22:28:14.9740987Z CONTAINER_NAME: cbf3b0a8abdf2aaef99252863c1a7b7664de3443159bc42c194375d78ba5c23d 2025-08-14T22:28:14.9741178Z ##[endgroup] 2025-08-14T22:28:15.1214764Z ##[group]Run docker exec -t "cbf3b0a8abdf2aaef99252863c1a7b7664de3443159bc42c194375d78ba5c23d" sh -c "sudo chown -R 1001:1001 test" 2025-08-14T22:28:15.1215169Z docker exec -t "cbf3b0a8abdf2aaef99252863c1a7b7664de3443159bc42c194375d78ba5c23d" sh -c "sudo chown -R 1001:1001 test" 2025-08-14T22:28:15.1220772Z shell: /usr/bin/bash -e {0} 2025-08-14T22:28:15.1220879Z env: 2025-08-14T22:28:15.1220972Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:28:15.1221103Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:28:15.1221280Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:28:15.1221444Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:28:15.1221824Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:28:15.1222210Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:28:15.1222320Z AWS_REGION: us-east-1 2025-08-14T22:28:15.1222471Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:28:15.1222616Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:28:15.1224572Z AWS_SESSION_TOKEN: *** 2025-08-14T22:28:15.1224736Z CONTAINER_NAME: cbf3b0a8abdf2aaef99252863c1a7b7664de3443159bc42c194375d78ba5c23d 2025-08-14T22:28:15.1224915Z ##[endgroup] 2025-08-14T22:28:15.1959776Z ##[group]Run cat test/**/*_toprint.log || true 2025-08-14T22:28:15.1959975Z cat test/**/*_toprint.log || true 2025-08-14T22:28:15.1963782Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:28:15.1963924Z env: 2025-08-14T22:28:15.1964013Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:28:15.1964142Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:28:15.1964312Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:28:15.1966222Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:28:15.1966704Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:28:15.1967072Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:28:15.1967182Z AWS_REGION: us-east-1 2025-08-14T22:28:15.1967316Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:28:15.1967477Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:28:15.1969434Z AWS_SESSION_TOKEN: *** 2025-08-14T22:28:15.1969600Z CONTAINER_NAME: cbf3b0a8abdf2aaef99252863c1a7b7664de3443159bc42c194375d78ba5c23d 2025-08-14T22:28:15.1969871Z ##[endgroup] 2025-08-14T22:28:15.2029944Z cat: 'test/**/*_toprint.log': No such file or directory 2025-08-14T22:28:15.2099194Z Prepare all required actions 2025-08-14T22:28:15.2099535Z Getting action download info 2025-08-14T22:28:15.4886766Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-08-14T22:28:15.8959950Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-08-14T22:28:16.3446201Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-08-14T22:28:16.3446356Z with: 2025-08-14T22:28:16.3446591Z use-gha: true 2025-08-14T22:28:16.3446765Z file-suffix: test-dynamo_eager_torchbench-1-2-linux.rocm.gpu.gfx942.1_48128598953 2025-08-14T22:28:16.3446959Z s3-bucket: gha-artifacts 2025-08-14T22:28:16.3447073Z env: 2025-08-14T22:28:16.3447166Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:28:16.3447305Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:28:16.3447492Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:28:16.3447688Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:28:16.3448073Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:28:16.3448448Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:28:16.3448566Z AWS_REGION: us-east-1 2025-08-14T22:28:16.3448721Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:28:16.3448875Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:28:16.3450838Z AWS_SESSION_TOKEN: *** 2025-08-14T22:28:16.3451014Z CONTAINER_NAME: cbf3b0a8abdf2aaef99252863c1a7b7664de3443159bc42c194375d78ba5c23d 2025-08-14T22:28:16.3451201Z ##[endgroup] 2025-08-14T22:28:16.3488026Z ##[group]Run actions/upload-artifact@v4 2025-08-14T22:28:16.3488150Z with: 2025-08-14T22:28:16.3488348Z name: test-jsons-runattempt1-test-dynamo_eager_torchbench-1-2-linux.rocm.gpu.gfx942.1_48128598953.zip 2025-08-14T22:28:16.3488561Z retention-days: 14 2025-08-14T22:28:16.3488669Z if-no-files-found: warn 2025-08-14T22:28:16.3488773Z path: test/**/*.json 2025-08-14T22:28:16.3488870Z compression-level: 6 2025-08-14T22:28:16.3488965Z overwrite: false 2025-08-14T22:28:16.3489065Z include-hidden-files: false 2025-08-14T22:28:16.3489168Z env: 2025-08-14T22:28:16.3489254Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:28:16.3489384Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:28:16.3489557Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:28:16.3489716Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:28:16.3490093Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:28:16.3490537Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:28:16.3490650Z AWS_REGION: us-east-1 2025-08-14T22:28:16.3490778Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:28:16.3490922Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:28:16.3493048Z AWS_SESSION_TOKEN: *** 2025-08-14T22:28:16.3493215Z CONTAINER_NAME: cbf3b0a8abdf2aaef99252863c1a7b7664de3443159bc42c194375d78ba5c23d 2025-08-14T22:28:16.3493395Z ##[endgroup] 2025-08-14T22:28:16.7798698Z With the provided path, there will be 7 files uploaded 2025-08-14T22:28:16.7799333Z Artifact name is valid! 2025-08-14T22:28:16.7799638Z Root directory input is valid! 2025-08-14T22:28:16.9100238Z Beginning upload of artifact content to blob storage 2025-08-14T22:28:17.0875285Z Uploaded bytes 59779 2025-08-14T22:28:17.1228747Z Finished uploading artifact content to blob storage! 2025-08-14T22:28:17.1229098Z SHA256 digest of uploaded artifact zip is a376ba649146eea236abe7daa013f3721eb8894473dd47048a2a46908fa1d306 2025-08-14T22:28:17.1230160Z Finalizing artifact upload 2025-08-14T22:28:17.2325661Z Artifact test-jsons-runattempt1-test-dynamo_eager_torchbench-1-2-linux.rocm.gpu.gfx942.1_48128598953.zip.zip successfully finalized. Artifact ID 3769835421 2025-08-14T22:28:17.2326261Z Artifact test-jsons-runattempt1-test-dynamo_eager_torchbench-1-2-linux.rocm.gpu.gfx942.1_48128598953.zip has been successfully uploaded! Final size is 59779 bytes. Artifact ID is 3769835421 2025-08-14T22:28:17.2329315Z Artifact download URL: https://github.com/pytorch/pytorch/actions/runs/16976338999/artifacts/3769835421 2025-08-14T22:28:17.2460741Z ##[group]Run actions/upload-artifact@v4 2025-08-14T22:28:17.2460881Z with: 2025-08-14T22:28:17.2461080Z name: test-reports-runattempt1-test-dynamo_eager_torchbench-1-2-linux.rocm.gpu.gfx942.1_48128598953.zip 2025-08-14T22:28:17.2461301Z retention-days: 14 2025-08-14T22:28:17.2461412Z if-no-files-found: ignore 2025-08-14T22:28:17.2461527Z path: test/**/*.xml test/**/*.csv 2025-08-14T22:28:17.2461644Z compression-level: 6 2025-08-14T22:28:17.2461750Z overwrite: false 2025-08-14T22:28:17.2461849Z include-hidden-files: false 2025-08-14T22:28:17.2463617Z env: 2025-08-14T22:28:17.2463716Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:28:17.2463853Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:28:17.2464027Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:28:17.2464188Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:28:17.2464569Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:28:17.2464936Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:28:17.2465047Z AWS_REGION: us-east-1 2025-08-14T22:28:17.2465200Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:28:17.2465353Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:28:17.2469053Z AWS_SESSION_TOKEN: *** 2025-08-14T22:28:17.2469232Z CONTAINER_NAME: cbf3b0a8abdf2aaef99252863c1a7b7664de3443159bc42c194375d78ba5c23d 2025-08-14T22:28:17.2469417Z ##[endgroup] 2025-08-14T22:28:17.6696930Z With the provided path, there will be 9 files uploaded 2025-08-14T22:28:17.6699113Z Artifact name is valid! 2025-08-14T22:28:17.6699840Z Root directory input is valid! 2025-08-14T22:28:17.7848667Z Beginning upload of artifact content to blob storage 2025-08-14T22:28:17.9100056Z Uploaded bytes 17670 2025-08-14T22:28:17.9401341Z Finished uploading artifact content to blob storage! 2025-08-14T22:28:17.9402770Z SHA256 digest of uploaded artifact zip is 99d4dcf76f49a1ca87bc8cf551efd3e6190b0a6dfde5da59f8d2f64389f2da60 2025-08-14T22:28:17.9403445Z Finalizing artifact upload 2025-08-14T22:28:18.0333470Z Artifact test-reports-runattempt1-test-dynamo_eager_torchbench-1-2-linux.rocm.gpu.gfx942.1_48128598953.zip.zip successfully finalized. Artifact ID 3769835490 2025-08-14T22:28:18.0335490Z Artifact test-reports-runattempt1-test-dynamo_eager_torchbench-1-2-linux.rocm.gpu.gfx942.1_48128598953.zip has been successfully uploaded! Final size is 17670 bytes. Artifact ID is 3769835490 2025-08-14T22:28:18.0337163Z Artifact download URL: https://github.com/pytorch/pytorch/actions/runs/16976338999/artifacts/3769835490 2025-08-14T22:28:18.0463379Z ##[group]Run actions/upload-artifact@v4 2025-08-14T22:28:18.0463508Z with: 2025-08-14T22:28:18.0463694Z name: logs-runattempt1-test-dynamo_eager_torchbench-1-2-linux.rocm.gpu.gfx942.1_48128598953.zip 2025-08-14T22:28:18.0463901Z retention-days: 14 2025-08-14T22:28:18.0465754Z if-no-files-found: ignore 2025-08-14T22:28:18.0465882Z path: usage_log.txt test/**/*.log 2025-08-14T22:28:18.0466006Z compression-level: 6 2025-08-14T22:28:18.0466107Z overwrite: false 2025-08-14T22:28:18.0466209Z include-hidden-files: false 2025-08-14T22:28:18.0466318Z env: 2025-08-14T22:28:18.0466536Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:28:18.0466674Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:28:18.0466947Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:28:18.0467111Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:28:18.0469225Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:28:18.0469611Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:28:18.0469726Z AWS_REGION: us-east-1 2025-08-14T22:28:18.0469883Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:28:18.0470043Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:28:18.0472021Z AWS_SESSION_TOKEN: *** 2025-08-14T22:28:18.0472194Z CONTAINER_NAME: cbf3b0a8abdf2aaef99252863c1a7b7664de3443159bc42c194375d78ba5c23d 2025-08-14T22:28:18.0472378Z ##[endgroup] 2025-08-14T22:28:18.4646584Z Multiple search paths detected. Calculating the least common ancestor of all paths 2025-08-14T22:28:18.4647629Z The least common ancestor is /home/runner/_work/pytorch/pytorch. This will be the root directory of the artifact 2025-08-14T22:28:18.4648163Z No files were found with the provided path: usage_log.txt 2025-08-14T22:28:18.4648511Z test/**/*.log. No artifacts will be uploaded. 2025-08-14T22:28:18.4774458Z ##[group]Run # shellcheck disable=SC2156 2025-08-14T22:28:18.4778817Z # shellcheck disable=SC2156 2025-08-14T22:28:18.4779188Z find . -iname "core.[1-9]*" -exec docker exec "${CONTAINER_NAME}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-08-14T22:28:18.4786372Z shell: /usr/bin/bash -e {0} 2025-08-14T22:28:18.4786681Z env: 2025-08-14T22:28:18.4786836Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:28:18.4787063Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:28:18.4787360Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:28:18.4787643Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:28:18.4788301Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:28:18.4792462Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:28:18.4792710Z AWS_REGION: us-east-1 2025-08-14T22:28:18.4792959Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:28:18.4793258Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:28:18.4796833Z AWS_SESSION_TOKEN: *** 2025-08-14T22:28:18.4797120Z CONTAINER_NAME: cbf3b0a8abdf2aaef99252863c1a7b7664de3443159bc42c194375d78ba5c23d 2025-08-14T22:28:18.4797427Z ##[endgroup] 2025-08-14T22:28:18.6443722Z ##[group]Run aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722 2025-08-14T22:28:18.6443938Z with: 2025-08-14T22:28:18.6444095Z role-to-assume: arn:aws:iam::308535385114:role/gha_workflow_upload-benchmark-results 2025-08-14T22:28:18.6444357Z role-duration-seconds: 18000 2025-08-14T22:28:18.6444475Z aws-region: us-east-1 2025-08-14T22:28:18.6444586Z audience: sts.amazonaws.com 2025-08-14T22:28:18.6444705Z env: 2025-08-14T22:28:18.6444797Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:28:18.6444937Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:28:18.6445115Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:28:18.6447840Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:28:18.6448247Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:28:18.6448618Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:28:18.6448733Z AWS_REGION: us-east-1 2025-08-14T22:28:18.6448892Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:28:18.6449048Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:28:18.6451018Z AWS_SESSION_TOKEN: *** 2025-08-14T22:28:18.6451192Z CONTAINER_NAME: cbf3b0a8abdf2aaef99252863c1a7b7664de3443159bc42c194375d78ba5c23d 2025-08-14T22:28:18.6451464Z ##[endgroup] 2025-08-14T22:28:18.8290136Z Assuming role with OIDC 2025-08-14T22:28:19.0444198Z Authenticated as assumedRoleId AROAUPVRELQNA5GQHA6IA:GitHubActions 2025-08-14T22:28:19.0960019Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main 2025-08-14T22:28:19.0960235Z with: 2025-08-14T22:28:19.0960363Z benchmark-results-dir: test/test-reports 2025-08-14T22:28:19.0960504Z dry-run: false 2025-08-14T22:28:19.0960620Z schema-version: v3 2025-08-14T22:28:19.0960952Z github-token: *** 2025-08-14T22:28:19.0961067Z env: 2025-08-14T22:28:19.0961174Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:28:19.0961334Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:28:19.0961527Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:28:19.0961714Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:28:19.0962116Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:28:19.0962532Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:28:19.0962666Z AWS_REGION: us-east-1 2025-08-14T22:28:19.0962808Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:28:19.0962974Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:28:19.0965117Z AWS_SESSION_TOKEN: *** 2025-08-14T22:28:19.0965305Z CONTAINER_NAME: cbf3b0a8abdf2aaef99252863c1a7b7664de3443159bc42c194375d78ba5c23d 2025-08-14T22:28:19.0965508Z ##[endgroup] 2025-08-14T22:28:19.0978753Z ##[group]Run set -eux 2025-08-14T22:28:19.0978888Z set -eux 2025-08-14T22:28:19.0979037Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-08-14T22:28:19.0979208Z  2025-08-14T22:28:19.0979305Z DEVICE_NAME="" 2025-08-14T22:28:19.0979425Z DEVICE_TYPE="" 2025-08-14T22:28:19.0979532Z  2025-08-14T22:28:19.0979638Z if command -v nvidia-smi; then 2025-08-14T22:28:19.0979822Z  # NB: I'm using PyTorch here to get the device name, however, it needs to 2025-08-14T22:28:19.0980050Z  # install the correct version of PyTorch manually for now. Any PyTorch 2025-08-14T22:28:19.0980255Z  # version is fine, I just use 2.7.1 to satify PYPIDEP linter 2025-08-14T22:28:19.0980430Z  python3 -mpip install torch==2.7.1 2025-08-14T22:28:19.0980569Z elif command -v rocminfo; then 2025-08-14T22:28:19.0980742Z  # NB: Installing torch on ROCm runner with pip here causes CI to fail 2025-08-14T22:28:19.0980954Z  # with a memoryview is too large error only on MI300 runners. Is pip 2025-08-14T22:28:19.0981170Z  # version on ROCm runner there too old? As a workaround, let's use the 2025-08-14T22:28:19.0981361Z  # GPU device name coming from rocminfo instead 2025-08-14T22:28:19.0981587Z  DEVICE_NAME=rocm 2025-08-14T22:28:19.0981780Z  DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs) 2025-08-14T22:28:19.0981971Z fi 2025-08-14T22:28:19.0982064Z  2025-08-14T22:28:19.0982185Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV 2025-08-14T22:28:19.0982349Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-08-14T22:28:19.0987702Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:28:19.0987855Z env: 2025-08-14T22:28:19.0987954Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:28:19.0988100Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:28:19.0988288Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:28:19.0988465Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:28:19.0988856Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:28:19.0989305Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:28:19.0989431Z AWS_REGION: us-east-1 2025-08-14T22:28:19.0989569Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:28:19.0989790Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:28:19.0991934Z AWS_SESSION_TOKEN: *** 2025-08-14T22:28:19.0992116Z CONTAINER_NAME: cbf3b0a8abdf2aaef99252863c1a7b7664de3443159bc42c194375d78ba5c23d 2025-08-14T22:28:19.0992311Z ##[endgroup] 2025-08-14T22:28:19.1028071Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-08-14T22:28:19.2447392Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T22:28:19.7080304Z Collecting boto3==1.35.33 2025-08-14T22:28:19.8592355Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-08-14T22:28:19.9201508Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 139.1/139.1 KB 2.2 MB/s eta 0:00:00 2025-08-14T22:28:20.0133719Z Collecting psutil==7.0.0 2025-08-14T22:28:20.0412482Z 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) 2025-08-14T22:28:20.1292181Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 278.0/278.0 KB 3.1 MB/s eta 0:00:00 2025-08-14T22:28:20.2262224Z Collecting pynvml==12.0.0 2025-08-14T22:28:20.2591137Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-08-14T22:28:20.3654918Z Collecting jmespath<2.0.0,>=0.7.1 2025-08-14T22:28:20.3924659Z Downloading jmespath-1.0.1-py3-none-any.whl (20 kB) 2025-08-14T22:28:20.8070277Z Collecting botocore<1.36.0,>=1.35.33 2025-08-14T22:28:20.9048701Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-08-14T22:28:21.1511517Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 13.3/13.3 MB 59.8 MB/s eta 0:00:00 2025-08-14T22:28:21.2975189Z Collecting s3transfer<0.11.0,>=0.10.0 2025-08-14T22:28:21.3251612Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-08-14T22:28:21.3942375Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 83.2/83.2 KB 1.1 MB/s eta 0:00:00 2025-08-14T22:28:21.4577507Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-08-14T22:28:21.4854939Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-08-14T22:28:21.5068532Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 47.5/47.5 KB 1.8 MB/s eta 0:00:00 2025-08-14T22:28:21.5773450Z Collecting python-dateutil<3.0.0,>=2.1 2025-08-14T22:28:21.6034810Z Downloading python_dateutil-2.9.0.post0-py2.py3-none-any.whl (229 kB) 2025-08-14T22:28:21.6221534Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 229.9/229.9 KB 12.7 MB/s eta 0:00:00 2025-08-14T22:28:21.6237632Z 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) 2025-08-14T22:28:21.7043957Z 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) 2025-08-14T22:28:21.7745493Z Installing collected packages: nvidia-ml-py, python-dateutil, pynvml, psutil, jmespath, botocore, s3transfer, boto3 2025-08-14T22:28:22.6723458Z 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 2025-08-14T22:28:22.7859781Z + DEVICE_NAME= 2025-08-14T22:28:22.7860125Z + DEVICE_TYPE= 2025-08-14T22:28:22.7870603Z + command -v nvidia-smi 2025-08-14T22:28:22.7870823Z + command -v rocminfo 2025-08-14T22:28:22.7871002Z + DEVICE_NAME=rocm 2025-08-14T22:28:22.7871171Z /usr/bin/rocminfo 2025-08-14T22:28:22.7871354Z ++ rocminfo 2025-08-14T22:28:22.7871512Z ++ grep 'Marketing Name' 2025-08-14T22:28:22.7871687Z ++ tail -n1 2025-08-14T22:28:22.7871859Z ++ awk -F: '{print $2}' 2025-08-14T22:28:22.7872026Z ++ xargs 2025-08-14T22:28:22.8564113Z + DEVICE_TYPE='AMD Instinct Mi325X VF' 2025-08-14T22:28:22.8565728Z + echo DEVICE_NAME=rocm 2025-08-14T22:28:22.8566363Z + echo 'DEVICE_TYPE=AMD Instinct Mi325X VF' 2025-08-14T22:28:22.8595055Z ##[group]Run set -eux 2025-08-14T22:28:22.8595301Z set -eux 2025-08-14T22:28:22.8595400Z  2025-08-14T22:28:22.8595515Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-08-14T22:28:22.8595793Z  echo "Missing github-token input" 2025-08-14T22:28:22.8595930Z  exit 1 2025-08-14T22:28:22.8596031Z fi 2025-08-14T22:28:22.8601961Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:28:22.8602126Z env: 2025-08-14T22:28:22.8602234Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:28:22.8602385Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:28:22.8602573Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:28:22.8602751Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:28:22.8605523Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:28:22.8605911Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:28:22.8606035Z AWS_REGION: us-east-1 2025-08-14T22:28:22.8606201Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:28:22.8606365Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:28:22.8608604Z AWS_SESSION_TOKEN: *** 2025-08-14T22:28:22.8608785Z CONTAINER_NAME: cbf3b0a8abdf2aaef99252863c1a7b7664de3443159bc42c194375d78ba5c23d 2025-08-14T22:28:22.8608977Z DEVICE_NAME: rocm 2025-08-14T22:28:22.8609089Z DEVICE_TYPE: AMD Instinct Mi325X VF 2025-08-14T22:28:22.8611199Z GITHUB_TOKEN: *** 2025-08-14T22:28:22.8611305Z ##[endgroup] 2025-08-14T22:28:22.8630537Z + [[ -z *** ]] 2025-08-14T22:28:22.8674469Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-08-14T22:28:22.8674667Z with: 2025-08-14T22:28:22.8674839Z github-token: *** 2025-08-14T22:28:22.8674941Z env: 2025-08-14T22:28:22.8677118Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:28:22.8677378Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:28:22.8677578Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:28:22.8677756Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:28:22.8678176Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:28:22.8678558Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:28:22.8678683Z AWS_REGION: us-east-1 2025-08-14T22:28:22.8678814Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:28:22.8678973Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:28:22.8683055Z AWS_SESSION_TOKEN: *** 2025-08-14T22:28:22.8683241Z CONTAINER_NAME: cbf3b0a8abdf2aaef99252863c1a7b7664de3443159bc42c194375d78ba5c23d 2025-08-14T22:28:22.8683438Z DEVICE_NAME: rocm 2025-08-14T22:28:22.8683551Z DEVICE_TYPE: AMD Instinct Mi325X VF 2025-08-14T22:28:22.8683685Z ##[endgroup] 2025-08-14T22:28:22.8696949Z ##[group]Run set -eux 2025-08-14T22:28:22.8697092Z set -eux 2025-08-14T22:28:22.8697190Z  2025-08-14T22:28:22.8697406Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-08-14T22:28:22.8703221Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:28:22.8705939Z env: 2025-08-14T22:28:22.8706089Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:28:22.8706296Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:28:22.8706628Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:28:22.8706870Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:28:22.8707257Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:28:22.8707637Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:28:22.8707758Z AWS_REGION: us-east-1 2025-08-14T22:28:22.8708024Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:28:22.8710335Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:28:22.8712455Z AWS_SESSION_TOKEN: *** 2025-08-14T22:28:22.8712752Z CONTAINER_NAME: cbf3b0a8abdf2aaef99252863c1a7b7664de3443159bc42c194375d78ba5c23d 2025-08-14T22:28:22.8712945Z DEVICE_NAME: rocm 2025-08-14T22:28:22.8713055Z DEVICE_TYPE: AMD Instinct Mi325X VF 2025-08-14T22:28:22.8713237Z GITHUB_TOKEN: *** 2025-08-14T22:28:22.8713340Z ##[endgroup] 2025-08-14T22:28:22.8735761Z + python3 /home/runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 16976338999 linux.rocm.gpu.gfx942.1-ccq8d-runner-g6tlr 2025-08-14T22:28:24.7451800Z setting job-id=48128598953 2025-08-14T22:28:24.7461785Z setting job-name=rocm-py3_10-periodic-dynamo-benchmarks / test (dynamo_eager_torchbench, 1, 2, linux.rocm.gpu.gfx942.1) 2025-08-14T22:28:24.7538026Z ##[group]Run set -eux 2025-08-14T22:28:24.7538185Z set -eux 2025-08-14T22:28:24.7541553Z  2025-08-14T22:28:24.7541725Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-08-14T22:28:24.7541950Z  --schema-version "${SCHEMA_VERSION}" \ 2025-08-14T22:28:24.7542097Z  --repo "${REPO}" \ 2025-08-14T22:28:24.7542230Z  --head-branch "${HEAD_BRANCH}" \ 2025-08-14T22:28:24.7542367Z  --head-sha "${HEAD_SHA}" \ 2025-08-14T22:28:24.7542507Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-08-14T22:28:24.7542654Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-08-14T22:28:24.7542789Z  --job-id "${JOB_ID}" \ 2025-08-14T22:28:24.7545161Z  --job-name "${JOB_NAME}" 2025-08-14T22:28:24.7550902Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:28:24.7551061Z env: 2025-08-14T22:28:24.7551161Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:28:24.7551384Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:28:24.7551571Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:28:24.7551749Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:28:24.7552149Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:28:24.7555009Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:28:24.7555140Z AWS_REGION: us-east-1 2025-08-14T22:28:24.7555320Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:28:24.7555480Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:28:24.7557722Z AWS_SESSION_TOKEN: *** 2025-08-14T22:28:24.7557906Z CONTAINER_NAME: cbf3b0a8abdf2aaef99252863c1a7b7664de3443159bc42c194375d78ba5c23d 2025-08-14T22:28:24.7558100Z DEVICE_NAME: rocm 2025-08-14T22:28:24.7558212Z DEVICE_TYPE: AMD Instinct Mi325X VF 2025-08-14T22:28:24.7558346Z SCHEMA_VERSION: v3 2025-08-14T22:28:24.7560623Z REPO: pytorch/pytorch 2025-08-14T22:28:24.7560750Z HEAD_BRANCH: refs/heads/main 2025-08-14T22:28:24.7560892Z HEAD_SHA: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T22:28:24.7561036Z WORKFLOW_RUN_ID: 16976338999 2025-08-14T22:28:24.7561160Z RUN_ATTEMPT: 1 2025-08-14T22:28:24.7561264Z JOB_ID: 48128598953 2025-08-14T22:28:24.7561480Z JOB_NAME: rocm-py3_10-periodic-dynamo-benchmarks / test (dynamo_eager_torchbench, 1, 2, linux.rocm.gpu.gfx942.1) 2025-08-14T22:28:24.7561710Z ##[endgroup] 2025-08-14T22:28:24.7588046Z + 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 48128598953 --job-name 'rocm-py3_10-periodic-dynamo-benchmarks / test (dynamo_eager_torchbench, 1, 2, linux.rocm.gpu.gfx942.1)' 2025-08-14T22:28:24.7766667Z ##[group]Run set -eux 2025-08-14T22:28:24.7766920Z set -eux 2025-08-14T22:28:24.7767039Z  2025-08-14T22:28:24.7767217Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-08-14T22:28:24.7773178Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:28:24.7773354Z env: 2025-08-14T22:28:24.7773476Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:28:24.7773633Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:28:24.7773840Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:28:24.7774025Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:28:24.7774435Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:28:24.7774830Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:28:24.7774969Z AWS_REGION: us-east-1 2025-08-14T22:28:24.7775166Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:28:24.7775340Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:28:24.7777666Z AWS_SESSION_TOKEN: *** 2025-08-14T22:28:24.7777865Z CONTAINER_NAME: cbf3b0a8abdf2aaef99252863c1a7b7664de3443159bc42c194375d78ba5c23d 2025-08-14T22:28:24.7778069Z DEVICE_NAME: rocm 2025-08-14T22:28:24.7778196Z DEVICE_TYPE: AMD Instinct Mi325X VF 2025-08-14T22:28:24.7778336Z ##[endgroup] 2025-08-14T22:28:24.7804592Z + python3 /home/runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-08-14T22:28:24.8004155Z INFO:root:Fail to import torch to get the device name 2025-08-14T22:28:24.8066803Z ##[group]Run set -eux 2025-08-14T22:28:24.8066956Z set -eux 2025-08-14T22:28:24.8067061Z  2025-08-14T22:28:24.8067175Z # TODO (huydhn): Implement this part 2025-08-14T22:28:24.8067427Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-08-14T22:28:24.8071853Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:28:24.8072020Z env: 2025-08-14T22:28:24.8072120Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:28:24.8074376Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:28:24.8074577Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:28:24.8074759Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:28:24.8075146Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:28:24.8075520Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:28:24.8075642Z AWS_REGION: us-east-1 2025-08-14T22:28:24.8075815Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:28:24.8075975Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:28:24.8078183Z AWS_SESSION_TOKEN: *** 2025-08-14T22:28:24.8080453Z CONTAINER_NAME: cbf3b0a8abdf2aaef99252863c1a7b7664de3443159bc42c194375d78ba5c23d 2025-08-14T22:28:24.8080656Z DEVICE_NAME: rocm 2025-08-14T22:28:24.8080770Z DEVICE_TYPE: AMD Instinct Mi325X VF 2025-08-14T22:28:24.8080897Z ##[endgroup] 2025-08-14T22:28:24.8101242Z + echo 'dependencies={}' 2025-08-14T22:28:24.8118755Z ##[group]Run set -eux 2025-08-14T22:28:24.8118916Z set -eux 2025-08-14T22:28:24.8122046Z  2025-08-14T22:28:24.8122175Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-08-14T22:28:24.8122363Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-08-14T22:28:24.8122561Z  # We don't want the job to fail if the directory doesn't exist 2025-08-14T22:28:24.8122719Z  exit 0 2025-08-14T22:28:24.8122824Z fi 2025-08-14T22:28:24.8122921Z  2025-08-14T22:28:24.8123030Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-08-14T22:28:24.8123237Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-08-14T22:28:24.8125682Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-08-14T22:28:24.8125871Z  --metadata "${BENCHMARK_METADATA}" \ 2025-08-14T22:28:24.8126134Z  --runners "${RUNNER_INFO}" \ 2025-08-14T22:28:24.8126279Z  --dependencies "${DEPENDENCIES}" \ 2025-08-14T22:28:24.8126419Z  --dry-run 2025-08-14T22:28:24.8126636Z else 2025-08-14T22:28:24.8126793Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-08-14T22:28:24.8127006Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-08-14T22:28:24.8127174Z  --metadata "${BENCHMARK_METADATA}" \ 2025-08-14T22:28:24.8127320Z  --runners "${RUNNER_INFO}" \ 2025-08-14T22:28:24.8127461Z  --dependencies "${DEPENDENCIES}" 2025-08-14T22:28:24.8129328Z fi 2025-08-14T22:28:24.8133883Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:28:24.8134040Z env: 2025-08-14T22:28:24.8134145Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:28:24.8134289Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:28:24.8134479Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:28:24.8134656Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:28:24.8135043Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:28:24.8137421Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:28:24.8137560Z AWS_REGION: us-east-1 2025-08-14T22:28:24.8137737Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:28:24.8137897Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:28:24.8140040Z AWS_SESSION_TOKEN: *** 2025-08-14T22:28:24.8140224Z CONTAINER_NAME: cbf3b0a8abdf2aaef99252863c1a7b7664de3443159bc42c194375d78ba5c23d 2025-08-14T22:28:24.8140509Z DEVICE_NAME: rocm 2025-08-14T22:28:24.8140627Z DEVICE_TYPE: AMD Instinct Mi325X VF 2025-08-14T22:28:24.8140765Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-08-14T22:28:24.8142530Z DRY_RUN: false 2025-08-14T22:28:24.8143055Z BENCHMARK_METADATA: {"timestamp": 1755210504, "schema_version": "v3", "name": "rocm-py3_10-periodic-dynamo-benchmarks / test (dynamo_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": 48128598953} 2025-08-14T22:28:24.8143762Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 160, "avail_mem_in_gb": 1255, "extra_info": {"hostname": "linux.rocm.gpu.gfx942.1-ccq8d-runner-g6tlr"}, "name": "rocm", "type": "AMD Instinct Mi325X VF"}] 2025-08-14T22:28:24.8144063Z DEPENDENCIES: {} 2025-08-14T22:28:24.8144169Z ##[endgroup] 2025-08-14T22:28:24.8164162Z + [[ ! -d test/test-reports ]] 2025-08-14T22:28:24.8164336Z + [[ false == \t\r\u\e ]] 2025-08-14T22:28:24.8165424Z + 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": 1755210504, "schema_version": "v3", "name": "rocm-py3_10-periodic-dynamo-benchmarks / test (dynamo_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": 48128598953}' --runners '[{"cpu_info": "x86_64", "cpu_count": 160, "avail_mem_in_gb": 1255, "extra_info": {"hostname": "linux.rocm.gpu.gfx942.1-ccq8d-runner-g6tlr"}, "name": "rocm", "type": "AMD Instinct Mi325X VF"}]' --dependencies '{}' 2025-08-14T22:28:24.8827619Z INFO:root:Upload test/test-reports/inference_torchbench.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976338999/48128598953/inference_torchbench.json 2025-08-14T22:28:24.9004843Z INFO:botocore.credentials:Found credentials in environment variables. 2025-08-14T22:28:25.1263878Z INFO:root:Upload test/test-reports/training_torchbench.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976338999/48128598953/training_torchbench.json 2025-08-14T22:28:25.3551627Z Prepare all required actions 2025-08-14T22:28:25.3551864Z Getting action download info 2025-08-14T22:28:25.3573206Z ##[group]Run ./.github/actions/teardown-rocm 2025-08-14T22:28:25.3576298Z env: 2025-08-14T22:28:25.3576527Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:28:25.3576673Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:28:25.3576860Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:28:25.3577035Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:28:25.3577436Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:28:25.3577845Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:28:25.3577967Z AWS_REGION: us-east-1 2025-08-14T22:28:25.3578152Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:28:25.3580420Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:28:25.3582569Z AWS_SESSION_TOKEN: *** 2025-08-14T22:28:25.3582752Z CONTAINER_NAME: cbf3b0a8abdf2aaef99252863c1a7b7664de3443159bc42c194375d78ba5c23d 2025-08-14T22:28:25.3582943Z DEVICE_NAME: rocm 2025-08-14T22:28:25.3583055Z DEVICE_TYPE: AMD Instinct Mi325X VF 2025-08-14T22:28:25.3583181Z ##[endgroup] 2025-08-14T22:28:25.3598568Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T22:28:25.3598825Z # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T22:28:25.3598994Z # shellcheck disable=SC2046 2025-08-14T22:28:25.3599140Z docker stop $(docker ps -q) || true 2025-08-14T22:28:25.3599390Z # Prune all stopped containers. 2025-08-14T22:28:25.3599526Z docker container prune -f 2025-08-14T22:28:25.3605059Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:28:25.3605209Z env: 2025-08-14T22:28:25.3605310Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:28:25.3605457Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:28:25.3608116Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:28:25.3608301Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:28:25.3608692Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:28:25.3609069Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:28:25.3609194Z AWS_REGION: us-east-1 2025-08-14T22:28:25.3609331Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:28:25.3609494Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:28:25.3611611Z AWS_SESSION_TOKEN: *** 2025-08-14T22:28:25.3611792Z CONTAINER_NAME: cbf3b0a8abdf2aaef99252863c1a7b7664de3443159bc42c194375d78ba5c23d 2025-08-14T22:28:25.3614050Z DEVICE_NAME: rocm 2025-08-14T22:28:25.3614175Z DEVICE_TYPE: AMD Instinct Mi325X VF 2025-08-14T22:28:25.3614304Z ##[endgroup] 2025-08-14T22:28:41.7794095Z cbf3b0a8abdf 2025-08-14T22:28:45.4331946Z Deleted Containers: 2025-08-14T22:28:45.4341386Z cbf3b0a8abdf2aaef99252863c1a7b7664de3443159bc42c194375d78ba5c23d 2025-08-14T22:28:45.4341685Z 2025-08-14T22:28:45.4341789Z Total reclaimed space: 11.82GB 2025-08-14T22:28:45.4376827Z Prepare all required actions 2025-08-14T22:28:45.4413204Z ##[group]Run ./.github/actions/diskspace-cleanup 2025-08-14T22:28:45.4413428Z with: 2025-08-14T22:28:45.4413591Z diskspace-cutoff: 70 2025-08-14T22:28:45.4413758Z env: 2025-08-14T22:28:45.4413904Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:28:45.4415991Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:28:45.4416306Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:28:45.4416891Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:28:45.4417674Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:28:45.4418302Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:28:45.4418497Z AWS_REGION: us-east-1 2025-08-14T22:28:45.4418749Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:28:45.4419003Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:28:45.4422593Z AWS_SESSION_TOKEN: *** 2025-08-14T22:28:45.4425811Z CONTAINER_NAME: cbf3b0a8abdf2aaef99252863c1a7b7664de3443159bc42c194375d78ba5c23d 2025-08-14T22:28:45.4426120Z DEVICE_NAME: rocm 2025-08-14T22:28:45.4426295Z DEVICE_TYPE: AMD Instinct Mi325X VF 2025-08-14T22:28:45.4426669Z ##[endgroup] 2025-08-14T22:28:45.4445763Z ##[group]Run set -ex 2025-08-14T22:28:45.4445974Z set -ex 2025-08-14T22:28:45.4446145Z diskspace_cutoff=70 2025-08-14T22:28:45.4446539Z docker_root_dir=$(docker info -f '{{.DockerRootDir}}') 2025-08-14T22:28:45.4449888Z if [ ! -d "$docker_root_dir" ]; then 2025-08-14T22:28:45.4450238Z  echo "Docker root directory ($docker_root_dir) does not exist. Skipping disk space check." 2025-08-14T22:28:45.4450559Z  exit 0 2025-08-14T22:28:45.4450725Z fi 2025-08-14T22:28:45.4451007Z diskspace=$(df -H --output=pcent ${docker_root_dir} | sed -n 2p | sed 's/%//' | sed 's/ //') 2025-08-14T22:28:45.4451559Z msg="Please file an issue on pytorch/pytorch reporting the faulty runner. Include a link to the runner logs so the runner can be identified" 2025-08-14T22:28:45.4452038Z if [[ "$diskspace" -ge "$diskspace_cutoff" ]] ; then 2025-08-14T22:28:45.4452290Z  docker system prune -af 2025-08-14T22:28:45.4452795Z  diskspace_new=$(df -H --output=pcent ${docker_root_dir} | sed -n 2p | sed 's/%//' | sed 's/ //') 2025-08-14T22:28:45.4453161Z  if [[ "$diskspace_new" -gt "$diskspace_cutoff" ]] ; then 2025-08-14T22:28:45.4455758Z  echo "Error: Available diskspace is less than $diskspace_cutoff percent. Not enough diskspace." 2025-08-14T22:28:45.4456090Z  echo "$msg" 2025-08-14T22:28:45.4456265Z  exit 1 2025-08-14T22:28:45.4456549Z  else 2025-08-14T22:28:45.4456749Z  difference=$((diskspace - diskspace_new)) 2025-08-14T22:28:45.4457023Z  echo "Diskspace saved: $difference percent" 2025-08-14T22:28:45.4457242Z  fi 2025-08-14T22:28:45.4457394Z fi 2025-08-14T22:28:45.4467382Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:28:45.4467647Z env: 2025-08-14T22:28:45.4467801Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:28:45.4468038Z RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts 2025-08-14T22:28:45.4468347Z RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results 2025-08-14T22:28:45.4468615Z RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs 2025-08-14T22:28:45.4469241Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 992 --device /dev/dri/renderD177 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-14T22:28:45.4469859Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T22:28:45.4470051Z AWS_REGION: us-east-1 2025-08-14T22:28:45.4472453Z AWS_ACCESS_KEY_ID: *** 2025-08-14T22:28:45.4472713Z AWS_SECRET_ACCESS_KEY: *** 2025-08-14T22:28:45.4476587Z AWS_SESSION_TOKEN: *** 2025-08-14T22:28:45.4476906Z CONTAINER_NAME: cbf3b0a8abdf2aaef99252863c1a7b7664de3443159bc42c194375d78ba5c23d 2025-08-14T22:28:45.4477196Z DEVICE_NAME: rocm 2025-08-14T22:28:45.4477375Z DEVICE_TYPE: AMD Instinct Mi325X VF 2025-08-14T22:28:45.4477592Z ##[endgroup] 2025-08-14T22:28:45.4505804Z + diskspace_cutoff=70 2025-08-14T22:28:45.4509221Z ++ docker info -f '{{.DockerRootDir}}' 2025-08-14T22:28:45.4915710Z + docker_root_dir=/home/runner/docker-data 2025-08-14T22:28:45.4916096Z + '[' '!' -d /home/runner/docker-data ']' 2025-08-14T22:28:45.4925976Z ++ df -H --output=pcent /home/runner/docker-data 2025-08-14T22:28:45.4926657Z ++ sed -n 2p 2025-08-14T22:28:45.4927931Z ++ sed s/%// 2025-08-14T22:28:45.4929344Z ++ sed 's/ //' 2025-08-14T22:28:45.4944833Z + diskspace=21 2025-08-14T22:28:45.4945289Z + 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' 2025-08-14T22:28:45.4945666Z + [[ 21 -ge 70 ]] 2025-08-14T22:28:45.4989291Z Post job cleanup. 2025-08-14T22:28:45.5025772Z Post job cleanup. 2025-08-14T22:28:45.5644842Z Post job cleanup. 2025-08-14T22:28:45.5853815Z Logging out of registry 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T22:28:45.6055260Z Post job cleanup. 2025-08-14T22:28:45.6682114Z Post job cleanup. 2025-08-14T22:28:45.6712695Z Post job cleanup. 2025-08-14T22:28:45.7202917Z [command]/usr/bin/git version 2025-08-14T22:28:45.7227731Z git version 2.50.1 2025-08-14T22:28:45.7244071Z Copying '/home/runner/.gitconfig' to '/home/runner/_work/_temp/0f4f8895-56ce-4e87-9e13-dd569fdbc008/.gitconfig' 2025-08-14T22:28:45.7251042Z Temporarily overriding HOME='/home/runner/_work/_temp/0f4f8895-56ce-4e87-9e13-dd569fdbc008' before making global git config changes 2025-08-14T22:28:45.7251500Z Adding repository directory to the temporary git global config as a safe directory 2025-08-14T22:28:45.7253447Z [command]/usr/bin/git config --global --add safe.directory /home/runner/_work/pytorch/pytorch 2025-08-14T22:28:45.7286952Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-08-14T22:28:45.7315264Z [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' || :" 2025-08-14T22:28:45.7546418Z Entering 'android/libs/fbjni' 2025-08-14T22:28:45.7596010Z Entering 'third_party/FP16' 2025-08-14T22:28:45.7635256Z Entering 'third_party/FXdiv' 2025-08-14T22:28:45.7679345Z Entering 'third_party/NNPACK' 2025-08-14T22:28:45.7724026Z Entering 'third_party/NVTX' 2025-08-14T22:28:45.7766927Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T22:28:45.7797410Z Entering 'third_party/XNNPACK' 2025-08-14T22:28:45.7827679Z Entering 'third_party/aiter' 2025-08-14T22:28:45.7855010Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T22:28:45.7899556Z Entering 'third_party/benchmark' 2025-08-14T22:28:45.7930622Z Entering 'third_party/composable_kernel' 2025-08-14T22:28:45.7963183Z Entering 'third_party/cpp-httplib' 2025-08-14T22:28:45.7997519Z Entering 'third_party/cpuinfo' 2025-08-14T22:28:45.8032970Z Entering 'third_party/cudnn_frontend' 2025-08-14T22:28:45.8065285Z Entering 'third_party/cutlass' 2025-08-14T22:28:45.8100899Z Entering 'third_party/fbgemm' 2025-08-14T22:28:45.8129270Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T22:28:45.8154093Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T22:28:45.8183526Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T22:28:45.8223906Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T22:28:45.8250860Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T22:28:45.8276818Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T22:28:45.8305464Z Entering 'third_party/fbgemm/external/json' 2025-08-14T22:28:45.8335608Z Entering 'third_party/flash-attention' 2025-08-14T22:28:45.8360126Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T22:28:45.8386054Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T22:28:45.8416959Z Entering 'third_party/flatbuffers' 2025-08-14T22:28:45.8449867Z Entering 'third_party/fmt' 2025-08-14T22:28:45.8485525Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T22:28:45.8516279Z Entering 'third_party/gloo' 2025-08-14T22:28:45.8542024Z Entering 'third_party/googletest' 2025-08-14T22:28:45.8568011Z Entering 'third_party/ideep' 2025-08-14T22:28:45.8593213Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T22:28:45.8621989Z Entering 'third_party/ittapi' 2025-08-14T22:28:45.8648903Z Entering 'third_party/kineto' 2025-08-14T22:28:45.8673906Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T22:28:45.8703205Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T22:28:45.8734744Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T22:28:45.8762939Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T22:28:45.8789601Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T22:28:45.8813670Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T22:28:45.8841731Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T22:28:45.8864966Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T22:28:45.8891551Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T22:28:45.8921833Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T22:28:45.8949668Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T22:28:45.8970027Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T22:28:45.8997033Z Entering 'third_party/kleidiai' 2025-08-14T22:28:45.9032718Z Entering 'third_party/mimalloc' 2025-08-14T22:28:45.9057993Z Entering 'third_party/nlohmann' 2025-08-14T22:28:45.9091656Z Entering 'third_party/onnx' 2025-08-14T22:28:45.9126056Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T22:28:45.9153763Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T22:28:45.9187886Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T22:28:45.9217875Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T22:28:45.9236796Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T22:28:45.9259082Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T22:28:45.9284983Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T22:28:45.9316320Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T22:28:45.9341325Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T22:28:45.9364218Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T22:28:45.9395753Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T22:28:45.9426159Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T22:28:45.9463426Z Entering 'third_party/pocketfft' 2025-08-14T22:28:45.9487537Z Entering 'third_party/protobuf' 2025-08-14T22:28:45.9513495Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T22:28:45.9535420Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T22:28:45.9564234Z Entering 'third_party/psimd' 2025-08-14T22:28:45.9592299Z Entering 'third_party/pthreadpool' 2025-08-14T22:28:45.9617601Z Entering 'third_party/pybind11' 2025-08-14T22:28:45.9645988Z Entering 'third_party/python-peachpy' 2025-08-14T22:28:45.9673345Z Entering 'third_party/sleef' 2025-08-14T22:28:45.9696347Z Entering 'third_party/tensorpipe' 2025-08-14T22:28:45.9722184Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T22:28:45.9754154Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T22:28:45.9782018Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T22:28:45.9813256Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T22:28:45.9842068Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T22:28:45.9884552Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-08-14T22:28:45.9903423Z http.https://github.com/.extraheader 2025-08-14T22:28:45.9908809Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-08-14T22:28:45.9929211Z [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' || :" 2025-08-14T22:28:46.0093583Z Entering 'android/libs/fbjni' 2025-08-14T22:28:46.0105770Z http.https://github.com/.extraheader 2025-08-14T22:28:46.0128205Z Entering 'third_party/FP16' 2025-08-14T22:28:46.0142262Z http.https://github.com/.extraheader 2025-08-14T22:28:46.0161484Z Entering 'third_party/FXdiv' 2025-08-14T22:28:46.0177636Z http.https://github.com/.extraheader 2025-08-14T22:28:46.0196701Z Entering 'third_party/NNPACK' 2025-08-14T22:28:46.0212674Z http.https://github.com/.extraheader 2025-08-14T22:28:46.0236525Z Entering 'third_party/NVTX' 2025-08-14T22:28:46.0254758Z http.https://github.com/.extraheader 2025-08-14T22:28:46.0275301Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T22:28:46.0289215Z http.https://github.com/.extraheader 2025-08-14T22:28:46.0313354Z Entering 'third_party/XNNPACK' 2025-08-14T22:28:46.0332039Z http.https://github.com/.extraheader 2025-08-14T22:28:46.0363556Z Entering 'third_party/aiter' 2025-08-14T22:28:46.0372716Z http.https://github.com/.extraheader 2025-08-14T22:28:46.0391739Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T22:28:46.0414664Z http.https://github.com/.extraheader 2025-08-14T22:28:46.0442369Z Entering 'third_party/benchmark' 2025-08-14T22:28:46.0458255Z http.https://github.com/.extraheader 2025-08-14T22:28:46.0483482Z Entering 'third_party/composable_kernel' 2025-08-14T22:28:46.0497723Z http.https://github.com/.extraheader 2025-08-14T22:28:46.0518470Z Entering 'third_party/cpp-httplib' 2025-08-14T22:28:46.0537616Z http.https://github.com/.extraheader 2025-08-14T22:28:46.0554460Z Entering 'third_party/cpuinfo' 2025-08-14T22:28:46.0570795Z http.https://github.com/.extraheader 2025-08-14T22:28:46.0587638Z Entering 'third_party/cudnn_frontend' 2025-08-14T22:28:46.0601551Z http.https://github.com/.extraheader 2025-08-14T22:28:46.0620114Z Entering 'third_party/cutlass' 2025-08-14T22:28:46.0633410Z http.https://github.com/.extraheader 2025-08-14T22:28:46.0655182Z Entering 'third_party/fbgemm' 2025-08-14T22:28:46.0671865Z http.https://github.com/.extraheader 2025-08-14T22:28:46.0691081Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T22:28:46.0705565Z http.https://github.com/.extraheader 2025-08-14T22:28:46.0722968Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T22:28:46.0742303Z http.https://github.com/.extraheader 2025-08-14T22:28:46.0761770Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T22:28:46.0783722Z http.https://github.com/.extraheader 2025-08-14T22:28:46.0801457Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T22:28:46.0821334Z http.https://github.com/.extraheader 2025-08-14T22:28:46.0846281Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T22:28:46.0860992Z http.https://github.com/.extraheader 2025-08-14T22:28:46.0879908Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T22:28:46.0893366Z http.https://github.com/.extraheader 2025-08-14T22:28:46.0911291Z Entering 'third_party/fbgemm/external/json' 2025-08-14T22:28:46.0925941Z http.https://github.com/.extraheader 2025-08-14T22:28:46.0950871Z Entering 'third_party/flash-attention' 2025-08-14T22:28:46.0970603Z http.https://github.com/.extraheader 2025-08-14T22:28:46.0993528Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T22:28:46.1007148Z http.https://github.com/.extraheader 2025-08-14T22:28:46.1028050Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T22:28:46.1044526Z http.https://github.com/.extraheader 2025-08-14T22:28:46.1068952Z Entering 'third_party/flatbuffers' 2025-08-14T22:28:46.1086552Z http.https://github.com/.extraheader 2025-08-14T22:28:46.1105824Z Entering 'third_party/fmt' 2025-08-14T22:28:46.1124219Z http.https://github.com/.extraheader 2025-08-14T22:28:46.1151749Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T22:28:46.1168349Z http.https://github.com/.extraheader 2025-08-14T22:28:46.1186237Z Entering 'third_party/gloo' 2025-08-14T22:28:46.1200889Z http.https://github.com/.extraheader 2025-08-14T22:28:46.1224358Z Entering 'third_party/googletest' 2025-08-14T22:28:46.1238993Z http.https://github.com/.extraheader 2025-08-14T22:28:46.1270954Z Entering 'third_party/ideep' 2025-08-14T22:28:46.1285600Z http.https://github.com/.extraheader 2025-08-14T22:28:46.1300717Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T22:28:46.1315072Z http.https://github.com/.extraheader 2025-08-14T22:28:46.1343915Z Entering 'third_party/ittapi' 2025-08-14T22:28:46.1360530Z http.https://github.com/.extraheader 2025-08-14T22:28:46.1384123Z Entering 'third_party/kineto' 2025-08-14T22:28:46.1398922Z http.https://github.com/.extraheader 2025-08-14T22:28:46.1421578Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T22:28:46.1436377Z http.https://github.com/.extraheader 2025-08-14T22:28:46.1454130Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T22:28:46.1471185Z http.https://github.com/.extraheader 2025-08-14T22:28:46.1489749Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T22:28:46.1507139Z http.https://github.com/.extraheader 2025-08-14T22:28:46.1530003Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T22:28:46.1547691Z http.https://github.com/.extraheader 2025-08-14T22:28:46.1572632Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T22:28:46.1586642Z http.https://github.com/.extraheader 2025-08-14T22:28:46.1610851Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T22:28:46.1624090Z http.https://github.com/.extraheader 2025-08-14T22:28:46.1644278Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T22:28:46.1662349Z http.https://github.com/.extraheader 2025-08-14T22:28:46.1679287Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T22:28:46.1696378Z http.https://github.com/.extraheader 2025-08-14T22:28:46.1713936Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T22:28:46.1727855Z http.https://github.com/.extraheader 2025-08-14T22:28:46.1747046Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T22:28:46.1766087Z http.https://github.com/.extraheader 2025-08-14T22:28:46.1787533Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T22:28:46.1804156Z http.https://github.com/.extraheader 2025-08-14T22:28:46.1821432Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T22:28:46.1844900Z http.https://github.com/.extraheader 2025-08-14T22:28:46.1863803Z Entering 'third_party/kleidiai' 2025-08-14T22:28:46.1882899Z http.https://github.com/.extraheader 2025-08-14T22:28:46.1901566Z Entering 'third_party/mimalloc' 2025-08-14T22:28:46.1915362Z http.https://github.com/.extraheader 2025-08-14T22:28:46.1933839Z Entering 'third_party/nlohmann' 2025-08-14T22:28:46.1949383Z http.https://github.com/.extraheader 2025-08-14T22:28:46.1969961Z Entering 'third_party/onnx' 2025-08-14T22:28:46.1983792Z http.https://github.com/.extraheader 2025-08-14T22:28:46.2007565Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T22:28:46.2020925Z http.https://github.com/.extraheader 2025-08-14T22:28:46.2038525Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T22:28:46.2053014Z http.https://github.com/.extraheader 2025-08-14T22:28:46.2073760Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T22:28:46.2085956Z http.https://github.com/.extraheader 2025-08-14T22:28:46.2107636Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T22:28:46.2128874Z http.https://github.com/.extraheader 2025-08-14T22:28:46.2143613Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T22:28:46.2157136Z http.https://github.com/.extraheader 2025-08-14T22:28:46.2181882Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T22:28:46.2197415Z http.https://github.com/.extraheader 2025-08-14T22:28:46.2215788Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T22:28:46.2231183Z http.https://github.com/.extraheader 2025-08-14T22:28:46.2249307Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T22:28:46.2263232Z http.https://github.com/.extraheader 2025-08-14T22:28:46.2280844Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T22:28:46.2310726Z http.https://github.com/.extraheader 2025-08-14T22:28:46.2328390Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T22:28:46.2347749Z http.https://github.com/.extraheader 2025-08-14T22:28:46.2373125Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T22:28:46.2389419Z http.https://github.com/.extraheader 2025-08-14T22:28:46.2409071Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T22:28:46.2426531Z http.https://github.com/.extraheader 2025-08-14T22:28:46.2454314Z Entering 'third_party/pocketfft' 2025-08-14T22:28:46.2473673Z http.https://github.com/.extraheader 2025-08-14T22:28:46.2492449Z Entering 'third_party/protobuf' 2025-08-14T22:28:46.2508731Z http.https://github.com/.extraheader 2025-08-14T22:28:46.2539990Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T22:28:46.2564930Z http.https://github.com/.extraheader 2025-08-14T22:28:46.2606348Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T22:28:46.2623989Z http.https://github.com/.extraheader 2025-08-14T22:28:46.2658299Z Entering 'third_party/psimd' 2025-08-14T22:28:46.2674448Z http.https://github.com/.extraheader 2025-08-14T22:28:46.2692188Z Entering 'third_party/pthreadpool' 2025-08-14T22:28:46.2707379Z http.https://github.com/.extraheader 2025-08-14T22:28:46.2729654Z Entering 'third_party/pybind11' 2025-08-14T22:28:46.2738676Z http.https://github.com/.extraheader 2025-08-14T22:28:46.2754721Z Entering 'third_party/python-peachpy' 2025-08-14T22:28:46.2768210Z http.https://github.com/.extraheader 2025-08-14T22:28:46.2785330Z Entering 'third_party/sleef' 2025-08-14T22:28:46.2800131Z http.https://github.com/.extraheader 2025-08-14T22:28:46.2818824Z Entering 'third_party/tensorpipe' 2025-08-14T22:28:46.2834562Z http.https://github.com/.extraheader 2025-08-14T22:28:46.2860308Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T22:28:46.2875054Z http.https://github.com/.extraheader 2025-08-14T22:28:46.2892336Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T22:28:46.2906871Z http.https://github.com/.extraheader 2025-08-14T22:28:46.2925678Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T22:28:46.2943462Z http.https://github.com/.extraheader 2025-08-14T22:28:46.2963274Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T22:28:46.2976669Z http.https://github.com/.extraheader 2025-08-14T22:28:46.2995427Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T22:28:46.3008390Z http.https://github.com/.extraheader 2025-08-14T22:28:46.3147832Z Cleaning up orphan processes