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@pearu pearu commented Mar 22, 2024

As in the title. The speed-ups for a particular set of input sizes range from about 7 to 85 % depending on the used BSR tensor block sizes.

Stack from ghstack (oldest at bottom):

cc @albanD

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pytorch-bot bot commented Mar 22, 2024

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/122506

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✅ You can merge normally! (1 Unrelated Failure)

As of commit cab36fa with merge base 3db64c1 (image):

FLAKY - The following job failed but was likely due to flakiness present on trunk:

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@pytorch-bot pytorch-bot bot added the release notes: sparse release notes category label Mar 22, 2024
@pearu pearu self-assigned this Mar 22, 2024
@pearu pearu added topic: not user facing topic category topic: performance topic category labels Mar 22, 2024
@pearu pearu requested a review from cpuhrsch March 22, 2024 17:25
As in the title. The speed-ups for a particular set of input sizes range from about 7 to 85 % depending on the used BSR tensor block sizes.




cc albanD

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pearu added a commit that referenced this pull request Mar 22, 2024
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pearu commented Mar 23, 2024

@pytorchbot merge

@pytorch-bot pytorch-bot bot added the ciflow/trunk Trigger trunk jobs on your pull request label Mar 23, 2024
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pytorch-bot bot pushed a commit that referenced this pull request Apr 22, 2024
As in the title. The speed-ups for a particular set of input sizes range from about 7 to 85 % depending on the used BSR tensor block sizes.

Pull Request resolved: #122506
Approved by: https://github.com/cpuhrsch
@github-actions github-actions bot deleted the gh/pearu/125/head branch April 23, 2024 01:56
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