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[Misc] Pass cutlass_fp8_supported correctly in fbgemm_fp8 (#6871)

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Elsa Granger 2024-07-28 23:13:49 +08:00 committed by GitHub
parent b1366a9534
commit 3eeb148f46
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1 changed files with 11 additions and 8 deletions
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7
vllm/model_executor/layers/quantization/fbgemm_fp8.py
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@ -9,6 +9,7 @@ from vllm.model_executor.layers.linear import (LinearBase, LinearMethodBase,
UnquantizedLinearMethod)
from vllm.model_executor.layers.quantization.base_config import (
QuantizationConfig, QuantizeMethodBase)
from vllm.model_executor.layers.quantization.fp8 import cutlass_fp8_supported
from vllm.model_executor.layers.quantization.utils.marlin_utils_fp8 import (
apply_fp8_marlin_linear, prepare_fp8_layer_for_marlin)
from vllm.model_executor.layers.quantization.utils.quant_utils import (
@ -72,6 +73,7 @@ class FBGEMMFp8LinearMethod(LinearMethodBase):
def __init__(self, quant_config: FBGEMMFp8Config):
self.quant_config = quant_config
self.cutlass_fp8_supported = cutlass_fp8_supported()
def create_weights(
self,
@ -139,11 +141,12 @@ class FBGEMMFp8LinearMethod(LinearMethodBase):
size_k=layer.input_size_per_partition,
bias=bias)
return apply_fp8_linear(input=x,
return apply_fp8_linear(
input=x,
weight=layer.weight,
weight_scale=layer.weight_scale,
input_scale=None,
input_scale_ub=layer.input_scale_ub,
bias=bias,
cutlass_fp8_supported=True,
cutlass_fp8_supported=self.cutlass_fp8_supported,
use_per_token_if_dynamic=True)