8000 Adding windows cuda 11.5 workflows by atalman · Pull Request #69377 · pytorch/pytorch · GitHub
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@atalman atalman commented Dec 3, 2021

Fixes #69081

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PR ciflow labels: ciflow/win

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periodic-win-vs2019-cuda11.1-py3 ciflow/all, ciflow/cuda, ciflow/scheduled, ciflow/win ✅ triggered
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💊 CI failures summary and remediations

As of commit cdd2df9 (more details on the Dr. CI page):


  • 1/1 failures possibly* introduced in this PR
    • 1/1 non-scanned failure(s)

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@atalman atalman force-pushed the torevert branch 2 times, most recently from 0bb3bb8 to 9e5d4a9 Compare December 7, 2021 20:03
@atalman atalman changed the title [Do not land] Testing windows cuda 11.5 workflows Adding windows cuda 11.5 workflows Dec 10, 2021
@@ -909,6 +910,11 @@ def get_selected_tests(options):
WINDOWS_BLOCKLIST.append("jit")
WINDOWS_BLOCKLIST.append("jit_fuser")

if distutils.version.LooseVersion(torch.version.cuda) >= "11.5":
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Is there an issue tracking why this is the case? Could you add a comment above here explaining why this has to be/linking to the issue?

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Yes totally The is the issue #69460 Will add a comment as well.

enable_force_on_cpu_test=1,
ciflow_config=CIFlowConfig(
run_on_canary=True,
labels={LABEL_CIFLOW_DEFAULT, LABEL_CIFLOW_CUDA, LABEL_CIFLOW_WIN}
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Can we make this a periodic job as well? And remove LABEL_CIFLOW_DEFAULT from here?

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Ah yes totally let me do this

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@atalman has imported this pull request. If you are a Facebook employee, you can view this diff on Phabricator.

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Unfortunately looks like this was causing upstream windows failures:

(base) C:\actions-runner\_work\pytorch\pytorch\test>if "" == "1" (
curl --retry 3 -k pytorch/test-infra@main/stats/windows_smoke_tests.csv (raw) --output .pytorch_specified_test_cases.csv  
 if ERRORLEVEL 1 exit /b 1  
 python run_test.py --exclude-jit-executor --shard 2 2 --verbose --run-specified-test-cases 
)  else (python run_test.py --exclude-jit-executor --shard 2 2 --verbose ) 
No CUDA runtime is found, using CUDA_HOME='C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.5'

From https://github.com/pytorch/pytorch/runs/4515996378?check_suite_focus=true

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Add CUDA 11.5 to install to windows AMI
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