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[Precision] Support lm_head layer running in float32 (#3597)
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* support lm_head fp32 bf16 fp16

* support lm_head fp32 bf16 fp16

* add doc and check code

* lm_head_fp32 specify lm_head as fp32

* code check

* check doc
This commit is contained in:
chen
2025-08-27 11:34:53 +08:00
committed by GitHub
parent ad319a87cc
commit ce9c0917c5
15 changed files with 99 additions and 60 deletions
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11
fastdeploy/engine/args_utils.py
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@@ -370,6 +370,11 @@ class EngineArgs:
- "default_v1": default_v1 loader.
"""
lm_head_fp32: bool = False
"""
Flag to specify the dtype of lm_head as FP32. Default is False (Using model default dtype).
"""
def __post_init__(self):
"""
Post-initialization processing to set default tokenizer if not provided.
@@ -576,6 +581,12 @@ class EngineArgs:
default=EngineArgs.early_stop_config,
help="the config for early stop.",
)
model_group.add_argument(
"--lm_head-fp32",
action="store_true",
default=EngineArgs.lm_head_fp32,
help="Specify the dtype of lm_head weight as float32.",
)
# Parallel processing parameters group
parallel_group = parser.add_argument_group("Parallel Configuration")