Support qmatmul with different dims tensors #4438
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/4438
Note: Links to docs will display an error until the docs builds have been completed. ✅ You can merge normally! (1 Unrelated Failure)As of commit 1087859 with merge base 1e4603d ( BROKEN TRUNK - The following job failed but were present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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| # Combine the larger batch dimensions with the matmul output size | ||
| out_size = ( | ||
| X_batch_dims + mat_size | ||
| if len(X_batch_dims) > len(Y_batch_dims) | ||
| else Y_batch_dims + mat_size | ||
| ) |
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Why combine the larger of the two batch dims? Perhaps it should just default to the first argument's instead?
This would seem like unpredictable behavior to someone using this function.
Summary: Pull Request resolved: #4438 MobileBERT exposes an issue in our kernel, where tensors have compatible (for PyTorch) but different batch dimensions. This diff changes the meta kernel to support that (the kernel can already do it). Reviewed By: dulinriley Differential Revision: D60314979
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Summary:
MobileBERT exposes an issue in our kernel, where tensors have compatible (for PyTorch) but different batch dimensions.
This diff changes the meta kernel to support that (the kernel can already do it).
Differential Revision: D60314979