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Refactor dense FP8 tensor/channel/block utils and add CT FP8 block (#21404)

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This commit is contained in:
Michael Goin
2025-09-18 08:53:45 -04:00
committed by GitHub
parent 470484a4f5
commit fbd6523ac0
5 changed files with 441 additions and 317 deletions
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14
vllm/model_executor/layers/linear.py
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@@ -805,12 +805,10 @@ class MergedColumnParallelLinear(ColumnParallelLinear):
assert loaded_shard_id < len(self.output_sizes)
if isinstance(param, BlockQuantScaleParameter):
from vllm.model_executor.layers.quantization.fp8 import (
Fp8LinearMethod, Fp8MoEMethod)
assert self.quant_method is not None
assert isinstance(self.quant_method,
(Fp8LinearMethod, Fp8MoEMethod))
weight_block_size = self.quant_method.quant_config.weight_block_size
# Assume the weight block size has been set by quant method
assert hasattr(self, "weight_block_size")
weight_block_size = self.weight_block_size
assert weight_block_size is not None
block_n, _ = weight_block_size[0], weight_block_size[1]
shard_offset = (
@@ -989,8 +987,10 @@ class QKVParallelLinear(ColumnParallelLinear):
# Note(simon): This is needed for Qwen3's fp8 quantization.
if isinstance(param, BlockQuantScaleParameter):
assert self.quant_method is not None
assert hasattr(self.quant_method, "quant_config")
weight_block_size = self.quant_method.quant_config.weight_block_size
# Assume the weight block size has been set by quant method
assert hasattr(self, "weight_block_size")
weight_block_size = self.weight_block_size
assert weight_block_size is not None
block_n, _ = weight_block_size[0], weight_block_size[1]
shard_offset = (shard_offset + block_n - 1) // block_n
shard_size = (shard_size + block_n - 1) // block_n