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Adding windows cuda 11.5 workflows #69377
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CI Flow Status⚛️ CI FlowRuleset - Version:
You can add a comment to the PR and tag @pytorchbot with the following commands: # ciflow rerun, "ciflow/default" will always be added automatically
@pytorchbot ciflow rerun
# ciflow rerun with additional labels "-l <ciflow/label_name>", which is equivalent to adding these labels manually and trigger the rerun
@pytorchbot ciflow rerun -l ciflow/scheduled -l ciflow/slow For more information, please take a look at the CI Flow Wiki. |
🔗 Helpful links
💊 CI failures summary and remediationsAs of commit cdd2df9 (more details on the Dr. CI page):
ci.pytorch.org: 1 failedThis comment was automatically generated by Dr. CI (expand for details).Please report bugs/suggestions to the (internal) Dr. CI Users group. |
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@@ -909,6 +910,11 @@ def get_selected_tests(options): | |||
WINDOWS_BLOCKLIST.append("jit") | |||
WINDOWS_BLOCKLIST.append("jit_fuser") | |||
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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
@atalman has imported this pull request. If you are a Facebook employee, you can view this diff on Phabricator. |
Unfortunately looks like this was causing upstream windows failures:
From https://github.com/pytorch/pytorch/runs/4515996378?check_suite_focus=true |
Fixes #69081