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fix bf16 and add comments (#4106)

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bukejiyu
2025-09-15 17:23:07 +08:00
committed by GitHub
parent 69aa2781a1
commit 113e330030
4 changed files with 8 additions and 4 deletions
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2
fastdeploy/model_executor/layers/linear.py
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@@ -498,6 +498,7 @@ class MergedColumnParallelLinear(ColumnParallelLinear):
if weight_need_transpose:
loaded_weight = get_tensor(loaded_weight)
loaded_weight = loaded_weight.transpose([1, 0])
# Avoid redundant transpose of fused weights when weight_loader is called iteratively
param.weight_need_transpose = False
# Loaded weight is already fused on disk.
shard_offsets = [
@@ -638,6 +639,7 @@ class QKVParallelLinear(ColumnParallelLinear):
if weight_need_transpose:
loaded_weight = get_tensor(loaded_weight)
loaded_weight = loaded_weight.transpose([1, 0])
# Avoid redundant transpose of fused weights when weight_loader is called iteratively
param.weight_need_transpose = False
# Loaded weight is already fused on disk
shard_offsets = [

4
fastdeploy/model_executor/layers/quantization/__init__.py
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@@ -16,6 +16,8 @@ quantization module
"""
from typing import Dict, List, Type
from fastdeploy.utils import parse_quantization
from .quant_base import QuantConfigBase
QUANTIZATION_METHODS: List[str] = [
@@ -35,6 +37,8 @@ QUANTIZATION_METHODS: List[str] = [
def parse_quant_config(args, model_config, is_ernie, is_v1_loader):
if args.quantization is not None and isinstance(args.quantization, str):
args.quantization = parse_quantization(args.quantization)
# 1.model_config.is_quantized
# TODO(bukejiyu) model_config.is_quantized is v0 only need to be removed in future
if model_config.model_format == "torch":