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Add support for strongly typed op_quantized_matmul, generalize dispatch strategy #13375
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This pull request was exported from Phabricator. Differential Revision: D80132832 |
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/13375
Note: Links to docs will display an error until the docs builds have been completed. ❌ 1 New Failure, 3 Unrelated FailuresAs of commit c14d2c6 with merge base 7f8f9d7 ( NEW FAILURE - The following job has failed:
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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…ch strategy (pytorch#13375) Summary: Add support for strongly typed op_quantized_matmul Generalize the depatch strategy with op dispatch config Differential Revision: D80132832
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This pull request was exported from Phabricator. Differential Revision: D80132832 |
…ch strategy @bypass-pytorch-oss-checks (pytorch#13375) Summary: Add support for strongly typed op_quantized_matmul Generalize the depatch strategy with op dispatch config Reviewed By: mcremon-meta Differential Revision: D80132832
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This pull request was exported from Phabricator. Differential Revision: D80132832 |
…ch strategy @bypass-pytorch-oss-checks (pytorch#13375) Summary: Pull Request resolved: pytorch#13375 Add support for strongly typed op_quantized_matmul Generalize the depatch strategy with op dispatch config Reviewed By: mcremon-meta Differential Revision: D80132832
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This pull request was exported from Phabricator. Differential Revision: D80132832 |
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…ch strategy Differential Revision: D80132832 Pull Request resolved: pytorch#13375
Summary:
Add support for strongly typed op_quantized_matmul
Generalize the depatch strategy with op dispatch config
Differential Revision: D80132832