Add local attention mask support to CUTLASS Blackwell decode op#58
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Aya-ZIbra wants to merge 1 commit intometa-pytorch:mainfrom
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Add local attention mask support to CUTLASS Blackwell decode op#58Aya-ZIbra wants to merge 1 commit intometa-pytorch:mainfrom
Aya-ZIbra wants to merge 1 commit intometa-pytorch:mainfrom
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@Aya-ZIbra has exported this pull request. If you are a Meta employee, you can view the originating Diff in D89192917. |
Summary: Extends the xformers CUTLASS Blackwell FwOpDecode operator to support BlockDiagonalLocalAttentionPaddedKeysMask, enabling sliding window attention for decode workloads. This builds on the gen kernel sliding window implementation to provide end-to-end local attention support through the xformers API. Also for consistent shapes, I changed the default split_k_size from 1024 to 0 in the interface to use no split-K sizing. TODO: Add merge_attentions step to cutlass op when number of splits >1 Differential Revision: D89192917
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Summary:
Extends the xformers CUTLASS Blackwell FwOpDecode operator to support BlockDiagonalLocalAttentionPaddedKeysMask, enabling sliding window attention for decode workloads. This builds on the gen kernel sliding window implementation to provide end-to-end local attention support through the xformers API.
Also for consistent shapes, I changed the default split_k_size from 1024 to 0 in the interface to use no split-K sizing.
TODO: Add merge_attentions step to cutlass op when number of splits >1
Differential Revision: D89192917