mirror of https://github.com/hpcaitech/ColossalAI
aibig-modeldata-parallelismdeep-learningdistributed-computingfoundation-modelsheterogeneous-traininghpcinferencelarge-scalemodel-parallelismpipeline-parallelism
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
25 lines
645 B
25 lines
645 B
import torch.nn as nn |
|
|
|
|
|
class ModelWrapper(nn.Module): |
|
""" |
|
A wrapper class to define the common interface used by booster. |
|
|
|
Args: |
|
module (nn.Module): The model to be wrapped. |
|
""" |
|
|
|
def __init__(self, module: nn.Module) -> None: |
|
super().__init__() |
|
self.module = module |
|
|
|
def unwrap(self): |
|
""" |
|
Unwrap the model to return the original model for checkpoint saving/loading. |
|
""" |
|
if isinstance(self.module, ModelWrapper): |
|
return self.module.unwrap() |
|
return self.module |
|
|
|
def forward(self, *args, **kwargs): |
|
return self.module(*args, **kwargs)
|
|
|