mirror of https://github.com/hpcaitech/ColossalAI
32 lines
946 B
Python
32 lines
946 B
Python
from typing import Optional
|
|
|
|
from transformers.models.gpt2.configuration_gpt2 import GPT2Config
|
|
from transformers.models.gpt2.modeling_gpt2 import GPT2LMHeadModel
|
|
|
|
from .actor import Actor
|
|
|
|
|
|
class GPTActor(Actor):
|
|
"""
|
|
GPT Actor model.
|
|
|
|
Args:
|
|
pretrained (str): Pretrained model name or path.
|
|
config (GPT2Config): Model config.
|
|
checkpoint (bool): Enable gradient checkpointing.
|
|
"""
|
|
|
|
def __init__(self,
|
|
pretrained: Optional[str] = None,
|
|
config: Optional[GPT2Config] = None,
|
|
checkpoint: bool = False) -> None:
|
|
if pretrained is not None:
|
|
model = GPT2LMHeadModel.from_pretrained(pretrained)
|
|
elif config is not None:
|
|
model = GPT2LMHeadModel(config)
|
|
else:
|
|
model = GPT2LMHeadModel(GPT2Config())
|
|
if checkpoint:
|
|
model.gradient_checkpointing_enable()
|
|
super().__init__(model)
|