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Signed-off-by: vllmellm <vllm.ellm@embeddedllm.com>
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vllmellm 2025-11-04 14:40:30 +00:00
parent abf597e542
commit aaa0d55587
1 changed files with 0 additions and 2 deletions
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vllm/model_executor/layers/quantization/kernels/scaled_mm/pytorch.py
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@ -230,14 +230,12 @@ class RowWiseTorchScaledMMLinearKernel(TorchScaledMMLinearKernel):
class ChannelWiseTorchScaledMMLinearKernel(TorchScaledMMLinearKernel): class ChannelWiseTorchScaledMMLinearKernel(TorchScaledMMLinearKernel):
@classmethod @classmethod
def can_implement(cls, c: FP8ScaledMMLinearLayerConfig) -> tuple[bool, str | None]: def can_implement(cls, c: FP8ScaledMMLinearLayerConfig) -> tuple[bool, str | None]:
per_tensor_activation_scales = ( per_tensor_activation_scales = (
c.activation_quant_key.scale.group_shape.is_per_tensor() c.activation_quant_key.scale.group_shape.is_per_tensor()
) )
per_tensor_weight_scales = c.weight_quant_key.scale.group_shape.is_per_tensor() per_tensor_weight_scales = c.weight_quant_key.scale.group_shape.is_per_tensor()
if per_tensor_activation_scales and per_tensor_weight_scales: if per_tensor_activation_scales and per_tensor_weight_scales:
return ( return (
False, False,