[executorch] Ignore leading 1 dimensions when checking optimized path for op_mul #4806
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… for op_mul A 1 x 1 x ... x m x n tensor can be element-wise multiplied with a m x n tensor just fine. Differential Revision: [D61504544](https://our.internmc.facebook.com/intern/diff/D61504544/) [ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/4806
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 13dd770 with merge base 35e2302 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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This pull request was exported from Phabricator. Differential Revision: D61504544 |
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…imized path for op_mul" A 1 x 1 x ... x m x n tensor can be element-wise multiplied with a m x n tensor just fine. Differential Revision: [D61504544](https://our.internmc.facebook.com/intern/diff/D61504544/) [ghstack-poisoned]
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This pull request was exported from Phabricator. Differential Revision: D61504544 |
…imized path for op_mul" A 1 x 1 x ... x m x n tensor can be element-wise multiplied with a m x n tensor just fine. Differential Revision: [D61504544](https://our.internmc.facebook.com/intern/diff/D61504544/) [ghstack-poisoned]
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This pull request was exported from Phabricator. Differential Revision: D61504544 |
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… for op_mul (#4963) A 1 x 1 x ... x m x n tensor can be element-wise multiplied with a m x n tensor just fine. Pull Request resolved: #4806 Co-authored-by: Scott Wolchok <[email protected]>
This was referenced Aug 29, 2024
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… for op_mul Pull Request resolved: pytorch/executorch#4806 A 1 x 1 x ... x m x n tensor can be element-wise multiplied with a m x n tensor just fine. ghstack-source-id: 240122840 @exported-using-ghexport Differential Revision: [D61504544](https://our.internmc.facebook.com/intern/diff/D61504544/)
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Stack from ghstack (oldest at bottom):
A 1 x 1 x ... x m x n tensor can be element-wise multiplied with a m x n tensor just fine.
Differential Revision: D61504544