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Revert "[Bugfix] Fix incorrect dispatch for CutlassBlockScaledGrouped… Test #21

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Revert "[Bugfix] Fix incorrect dispatch for CutlassBlockScaledGrouped… Test #21

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15 changes: 5 additions & 10 deletions vllm/model_executor/layers/quantization/fp8.py
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Original file line number Diff line number Diff line change
Expand Up @@ -488,27 +488,22 @@ def __init__(self, quant_config: Fp8Config):
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.is_device_capability(90)):
and current_platform.has_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.")

# Check for CutlassBlockScaledGroupedGemm support.
self.allow_cutlass_block_scaled_grouped_gemm = False
if not self.block_quant:
logger.debug_once("Model is not block quantized. Not using "
"CutlassBlockScaledGroupedGemm kernels")
logger.warning_once("Model is not block quantized. Not using "
"CutlassBlockScaledGroupedGemm kernels")
elif (current_platform.is_cuda()
and current_platform.is_device_capability(100)):
and current_platform.has_device_capability(100)):
logger.info_once(
"Using CutlassBlockScaledGroupedGemm kernels for Fp8MoEMethod."
)
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