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self.device_map 参数初始化逻辑

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LLamaLLM 加载器
This commit is contained in:
glide-the 2023-05-19 23:38:36 +08:00
parent 49e47231af
commit 62ce5f0775
2 changed files with 5 additions and 5 deletions
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2
models/__init__.py
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@ -1,4 +1,4 @@
from .chatglm_llm import ChatGLM
# from .llama_llm import LLamaLLM
from .llama_llm import LLamaLLM
from .moss_llm import MOSSLLM

8
models/loader/loader.py
View File

@ -130,13 +130,13 @@ class LoaderCheckPoint:
# 可传入device_map自定义每张卡的部署情况
if self.device_map is None:
if 'chatglm' in model_name.lower():
device_map = self.chatglm_auto_configure_device_map(num_gpus)
self.device_map = self.chatglm_auto_configure_device_map(num_gpus)
elif 'moss' in model_name.lower():
device_map = self.moss_auto_configure_device_map(num_gpus, model_name)
self.device_map = self.moss_auto_configure_device_map(num_gpus, model_name)
else:
device_map = self.chatglm_auto_configure_device_map(num_gpus)
self.device_map = self.chatglm_auto_configure_device_map(num_gpus)
model = dispatch_model(model, device_map=device_map)
model = dispatch_model(model, device_map=self.device_map)
else:
print(
"Warning: torch.cuda.is_available() returned False.\nThis means that no GPU has been "