Optimized 2D-by-1D broadcasting in optimized op_mul #4965
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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]
…sed to optimized mul We are currently doing slow broadcasting for this case. After this diff, we should get nice vectorization. Differential Revision: [D61560825](https://our.internmc.facebook.com/intern/diff/D61560825/) [ghstack-poisoned]
…ng in optimized op_mul" Detect that we are doing an elementwise multiplication for a 2D tensor and a 1D tensor. Dispatch to a vectorized kernel for this case. Differential Revision: [D61560826](https://our.internmc.facebook.com/intern/diff/D61560826/) [ghstack-poisoned]
…ng in optimized op_mul" Detect that we are doing an elementwise multiplication for a 2D tensor and a 1D tensor. Dispatch to a vectorized kernel for this case. Differential Revision: [D61560826](https://our.internmc.facebook.com/intern/diff/D61560826/) [ghstack-poisoned]
…ng in optimized op_mul" Detect that we are doing an elementwise multiplication for a 2D tensor and a 1D tensor. Dispatch to a vectorized kernel for this case. Differential Revision: [D61560826](https://our.internmc.facebook.com/intern/diff/D61560826/) [ghstack-poisoned]
Differential Revision: D61560826 Pull Request resolved: #4808
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/4965
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 1bb2ec1 with merge base ba06861 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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Stack from ghstack (oldest at bottom):
Detect that we are doing an elementwise multiplication for a 2D tensor and a 1D tensor. Dispatch to a vectorized kernel for this case.
Differential Revision: D61560826