GroupedGEMM interface takes m_sizes instead of m_offsets.
#3696
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Summary: X-link: facebookresearch/FBGEMM#764 - Always allocate workspace. - Allocating is almost free with PyTorch sub-allocation. - Not allocating could cause problems in multi-processing and cuda graph capturing. - Disable TMA store for now. - Running into issues with on-device TMA store. Reviewed By: jiawenliu64, jwfromm Differential Revision: D69602533
…h#3696) Summary: X-link: facebookresearch/FBGEMM#771 Calculated `m_offsets` on the fly to avoid small scan kernel launches. Differential Revision: D69686252
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This pull request was exported from Phabricator. Differential Revision: D69686252 |
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Summary:
X-link: https://github.com/facebookresearch/FBGEMM/pull/771
Calculated
m_offsetson the fly to avoid small scan kernel launches.Differential Revision: D69686252