pytorch

df759a3d - [nnc] Do not fuse matmul/conv2d if inputs are discontiguous. (#59754)

[nnc] Do not fuse matmul/conv2d if inputs are discontiguous. (#59754) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/59754 Also, if inputs are contiguous, use their Placeholders directly rather than generating contiguous Tensors from them. The rationale for this change is that aten::matmul and aten::conv2d support transposed inputs; if NNC generates a physical transpose to perform an external call, performance will be strictly worse than not fusing (sometimes dramatically so, as in the attached benchmark). Test Plan: benchmark Reviewed By: ZolotukhinM Differential Revision: D29010209 fbshipit-source-id: da6d71b155c83e8d6e306089042b6b0af8f80900