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[CUBLAS][CUDA GRAPHS] (re-re-re-re-open of #83461) Explicitly set the workspace for cuBLAS handles #86645

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eqy
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@eqy eqy commented Oct 10, 2022

re-opening (again) in hopes of working around failed/stuck CLA check

CC @ptrblck @ngimel @huydhn

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pytorch-bot bot commented Oct 10, 2022

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/86645

Note: Links to docs will display an error until the docs builds have been completed.

✅ No Failures

As of commit 0e4ca01:
💚 Looks good so far! There are no failures yet. 💚

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CLA Not Signed

@pytorch-bot pytorch-bot bot added the ciflow/trunk Trigger trunk jobs on your pull request label Oct 10, 2022
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zdevito commented Oct 10, 2022

For the CLA, maybe try squashing all the commits in the eqy:cublasworkspace_graphs branch so that there is only a single commit authored by you. It looks like it is getting confused at 071ebae

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ngimel commented Oct 11, 2022

@xuzhao9 heads up I'm landing this PR, as my understanding is there are workarounds for torchbench.

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ngimel commented Oct 11, 2022

@pytorchbot merge -g

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Hey @eqy.
You've committed this PR, but it does not have both a 'release notes: ...' and 'topics: ...' label. Please add one of each to the PR. The 'release notes: ...' label should represent the part of PyTorch that this PR changes (fx, autograd, distributed, etc) and the 'topics: ...' label should represent the kind of PR it is (not user facing, new feature, bug fix, perf improvement, etc). The list of valid labels can be found here for the 'release notes: ...' and here for the 'topics: ...'.
For changes that are 'topic: not user facing' there is no need for a release notes label.

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eqy commented Oct 12, 2022

@xuzhao9 the link for the corresponding benchmark changes are here: pytorch/benchmark#1226

If the memory leak check (pytorch/benchmark#1228) is added, additional changes like the ones in this PR would also be needed.

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