Enable AMD BF16 Grouped Gemm #3526
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Summary: Pull Request resolved: pytorch#3522 X-link: facebookresearch/FBGEMM#603 I previously assumed that using hipmemcpy would be more efficient than launching many kernels that directly set gpu memory. This assumption is apparently (and very surprisingly) untrue. It seems the the multi-kernel-launch approach reduces overhead considerably, giving a 10% speedup. Differential Revision: D67531231
Summary: This diff improves the kernel setup for cutlass bf16 grouped gemm and makes it more compatible with eager mode. Current status: Dynamic mode working, need to add eager mode. Differential Revision: D67423469
Summary: Implementation of CK based BF16 Grouped Gemm. Currently performance is quite poor :( Reviewed By: zjing14 Differential Revision: D67261862
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This pull request was exported from Phabricator. Differential Revision: D67261862 |
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Summary: Implementation of CK based BF16 Grouped Gemm. Currently performance is quite poor :(
Reviewed By: zjing14
Differential Revision: D67261862