[Feature] Refactor batch invariant fp8 DeepGEMM#27606
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Signed-off-by: yewentao256 <zhyanwentao@126.com>
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This pull request refactors the apply method in Fp8LinearMethod to simplify the logic for batch-invariant FP8 GEMM. The change reuses W8A8BlockFp8LinearOp for block-quantized weights, aligning the batch-invariant path with the non-batch-invariant path and replacing a dequantization fallback with a more performant quantized kernel path. While this is a good simplification, I've identified a potential issue related to the removal of a safety check for handling weight scales of square matrices, which could lead to incorrect behavior in some edge cases.
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This pull request has merge conflicts that must be resolved before it can be |
Signed-off-by: yewentao256 <zhyanwentao@126.com>
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This PR could also fix #28249 |
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Nov 10, 2025
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Signed-off-by: yewentao256 <zhyanwentao@126.com> (cherry picked from commit 35d801f)
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Purpose
Fixes #27127 (comment) @mgoin
We can reuse the code from fp8_utils to simplify the logic