Ignore leading 1 dimensions when checking optimized path for op_mul #4963
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…hen checking optimized 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]
…hen checking optimized 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]
… for op_mul Differential Revision: D61504544 Pull Request resolved: #4806
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/4963
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 8822fac with merge base 35e2302 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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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.