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add cuda benchmark ci #15883
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add cuda benchmark ci #15883
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/15883
Note: Links to docs will display an error until the docs builds have been completed. ✅ You can merge normally! (4 Unrelated Failures)As of commit b991c34 with merge base b4d72f1 ( FLAKY - The following jobs failed but were likely due to flakiness present on trunk:
BROKEN TRUNK - The following jobs failed but were present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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@Gasoonjia has exported this pull request. If you are a Meta employee, you can view the originating Diff in D87400561. |
This PR needs a
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Summary: Pull Request resolved: #15883 Introduce cuda benchmark ci for monitoring cuda backend performance. Differential Revision: D87400561
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Summary: Pull Request resolved: #15883 Introduce cuda benchmark ci for monitoring cuda backend performance. Differential Revision: D87400561
d2654cf to
7e7edef
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Summary: Pull Request resolved: #15883 Introduce cuda benchmark ci for monitoring cuda backend performance. Differential Revision: D87400561
7e7edef to
89aa1a8
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Summary: Pull Request resolved: #15883 Introduce cuda benchmark ci for monitoring cuda backend performance. the ci will run on three situations: 1. it will run all possible models (voxtral, gemma and whisper) on every day's 1am pst; 2. it will run an arbitrary model everytime a PR got merged; 3. manually tirggered by user. Differential Revision: D87400561
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Summary: Pull Request resolved: #15883 Introduce cuda benchmark ci for monitoring cuda backend performance. the ci will run on three situations: 1. it will run all possible models (voxtral, gemma and whisper) on every day's 1am pst; 2. it will run an arbitrary model everytime a PR got merged; 3. manually tirggered by user. Differential Revision: D87400561
Summary: Pull Request resolved: #15883 Introduce cuda benchmark ci for monitoring cuda backend performance. the ci will run on three situations: 1. it will run all possible models (voxtral, gemma and whisper) on every day's 1am pst; 2. it will run an arbitrary model everytime a PR got merged; 3. manually tirggered by user. Differential Revision: D87400561
53bc9dc to
7dd0295
Compare
Summary: Pull Request resolved: #15883 Introduce cuda benchmark ci for monitoring cuda backend performance. the ci will run on three situations: 1. it will run all possible models (voxtral, gemma and whisper) on every day's 1am pst; 2. it will run an arbitrary model everytime a PR got merged; 3. manually tirggered by user. Differential Revision: D87400561
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4ba101c
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Summary: Introduce cuda benchmark ci for monitoring cuda backend performance. the ci will run on three situations: 1. it will run all possible models (voxtral, gemma and whisper) on every day's 1am pst; 2. it will run an arbitrary model everytime a PR got merged; 3. manually tirggered by user. Differential Revision: D87400561
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Address comments, show gpu name on dashboard, support running all tests on script |
Summary: Introduce cuda benchmark ci for monitoring cuda backend performance. the ci will run on three situations: 1. it will run all possible models (voxtral, gemma and whisper) on every day's 1am pst; 2. it will run an arbitrary model everytime a PR got merged; 3. manually tirggered by user. Reviewed By: larryliu0820 Differential Revision: D87400561
e96d8b2 to
d447659
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Summary: Pull Request resolved: #15883 Introduce cuda benchmark ci for monitoring cuda backend performance. the ci will run on three situations: 1. it will run all possible models (voxtral, gemma and whisper) on every day's 1am pst; 2. it will run an arbitrary model everytime a PR got merged; 3. manually tirggered by user. Reviewed By: larryliu0820 Differential Revision: D87400561
d447659 to
4bb6250
Compare
Summary: Pull Request resolved: #15883 Introduce cuda benchmark ci for monitoring cuda backend performance. the ci will run on three situations: 1. it will run all possible models (voxtral, gemma and whisper) on every day's 1am pst; 2. it will run an arbitrary model everytime a PR got merged; 3. manually tirggered by user. Reviewed By: larryliu0820 Differential Revision: D87400561
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update dashborad content to make it more descriptive. |
Summary: Pull Request resolved: #15883 Introduce cuda benchmark ci for monitoring cuda backend performance. the ci will run on three situations: 1. it will run all possible models (voxtral, gemma and whisper) on every day's 1am pst; 2. it will run an arbitrary model everytime a PR got merged; 3. manually tirggered by user. Reviewed By: larryliu0820 Differential Revision: D87400561
2ca215a to
e55b78c
Compare
Summary: Pull Request resolved: #15883 Introduce cuda benchmark ci for monitoring cuda backend performance. the ci will run on three situations: 1. it will run all possible models (voxtral, gemma and whisper) on every day's 1am pst; 2. it will run an arbitrary model everytime a PR got merged; 3. manually tirggered by user. Reviewed By: larryliu0820 Differential Revision: D87400561
e55b78c to
04067ef
Compare
Summary: Introduce cuda benchmark ci for monitoring cuda backend performance. the ci will run on three situations: 1. it will run all possible models (voxtral, gemma and whisper) on every day's 1am pst; 2. it will run an arbitrary model everytime a PR got merged; 3. manually tirggered by user. Reviewed By: larryliu0820 Differential Revision: D87400561
04067ef to
dd34b60
Compare
Summary: Introduce cuda benchmark ci for monitoring cuda backend performance. the ci will run on three situations: 1. it will run all possible models (voxtral, gemma and whisper) on every day's 1am pst; 2. it will run an arbitrary model everytime a PR got merged; 3. manually tirggered by user. Reviewed By: larryliu0820 Differential Revision: D87400561
dd34b60 to
c850844
Compare
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@Gasoonjia has imported this pull request. If you are a Meta employee, you can view this in D87400561. |
Summary: Introduce cuda benchmark ci for monitoring cuda backend performance.
the ci will run on three situations:
Differential Revision: D87400561