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Tune bsr_dense_addmm for int8 inputs on A100 by pearu · Pull Request #136088 · pytorch/pytorch · GitHub
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Tune bsr_dense_addmm for int8 inputs on A100 #136088
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[ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/136088
Note: Links to docs will display an error until the docs builds have been completed. âś… You can merge normally! (1 Unrelated Failure)As of commit 4908579 with merge base 0b667c0 ( FLAKY - The following job failed but was likely due to flakiness present on trunk:
This comment was automatically generated by Dr. CI and updates every 15 minutes. |
pearu
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As in the title. The tuning is done for dimensions 1280 and 5120 that are used in Vit-H. [ghstack-poisoned]
As in the title. The tuning is done for dimensions 1280 and 5120 that are used in Vit-H. [ghstack-poisoned]
As in the title. The tuning is done for dimensions 1280 and 5120 that are used in Vit-H. [ghstack-poisoned]
cpuhrsch
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Sep 16, 2024
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@pytorchbot merge |
Merge startedYour change will be merged once all checks pass (ETA 0-4 Hours). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
Merge failedReason: Command Details for Dev Infra teamRaised by workflow job |
As in the title. The tuning is done for dimensions 1280 and 5120 that are used in Vit-H. [ghstack-poisoned]
|
@pytorchbot merge |
Merge failedReason: Not merging any PRs at the moment because there is a merge blocking https://github.com/pytorch/pytorch/labels/ci:%20sev issue open at: Details for Dev Infra teamRaised by workflow job |
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sev label has been removed from the issue that blocked merge so I'm going to rebase and retry. |
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@pytorchbot merge -r |
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@pytorchbot started a rebase job onto refs/remotes/origin/viable/strict. Check the current status here |
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Successfully rebased |
Merge startedYour change will be merged once all checks pass (ETA 0-4 Hours). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
BoyuanFeng
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As in the title. The tuning is done for dimensions 1280 and 5120 that are used in Vit-H. Pull Request resolved: pytorch#136088 Approved by: https://github.com/cpuhrsch
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As in the title. The tuning is done for dimensions 1280 and 5120 that are used in Vit-H.
Stack from ghstack (oldest at bottom):