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As per title. It seems safe to be able to generalize to arbitrary contiguous inputs since `at::matmul` is likely to do the flattening to avoid `baddmm`. Additionally, we guard for bias to be 1D and contiguous which is guaranteed to be fused with no copies. Pull Request resolved: https://github.com/pytorch/pytorch/pull/166071 Approved by: https://github.com/ngimel |
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