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[Bugfix] Fix incorrect dispatch for CutlassBlockScaledGroupedGemm and DeepGEMM (#20933)

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Signed-off-by: mgoin <mgoin64@gmail.com>
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Michael Goin 2025-07-15 10:42:17 +09:00 committed by GitHub
parent ba8c300018
commit bcdfb2a330
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1 changed files with 10 additions and 5 deletions
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15
vllm/model_executor/layers/quantization/fp8.py
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@ -488,11 +488,16 @@ class Fp8MoEMethod(FusedMoEMethodBase):
logger.warning_once("Failed to import DeepGemm kernels.")
elif not self.block_quant:
logger.warning_once("Model is not block quantized. Not using "
" DeepGemm kernels")
"DeepGemm kernels")
elif (current_platform.is_cuda()
and current_platform.has_device_capability(90)):
and current_platform.is_device_capability(90)):
logger.info_once("Using DeepGemm kernels for Fp8MoEMethod.")
self.allow_deep_gemm = True
elif (current_platform.is_cuda()
and is_blackwell_deep_gemm_used()):
logger.info_once("Using DeepGemm SM100 kernels for "
"Fp8MoEMethod.")
self.allow_deep_gemm = True
else:
logger.warning_once(
"DeepGemm not supported on the current platform.")
@ -500,10 +505,10 @@ class Fp8MoEMethod(FusedMoEMethodBase):
# Check for CutlassBlockScaledGroupedGemm support.
self.allow_cutlass_block_scaled_grouped_gemm = False
if not self.block_quant:
logger.warning_once("Model is not block quantized. Not using "
"CutlassBlockScaledGroupedGemm kernels")
logger.debug_once("Model is not block quantized. Not using "
"CutlassBlockScaledGroupedGemm kernels")
elif (current_platform.is_cuda()
and current_platform.has_device_capability(100)):
and current_platform.is_device_capability(100)):
logger.info_once(
"Using CutlassBlockScaledGroupedGemm kernels for Fp8MoEMethod."
)