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"""Utility functions for handling model attributes with DataParallel"""
import torch.nn as nn
def get_model_attr(model, attr_name):
"""
Get attribute from model, handling DataParallel wrapper
Args:
model: Model (possibly wrapped in DataParallel)
attr_name: Attribute name to get
Returns:
Attribute value
"""
if isinstance(model, nn.DataParallel):
return getattr(model.module, attr_name)
else:
return getattr(model, attr_name)
def set_model_attr(model, attr_name, value):
"""
Set attribute on model, handling DataParallel wrapper
Args:
model: Model (possibly wrapped in DataParallel)
attr_name: Attribute name to set
value: Value to set
"""
if isinstance(model, nn.DataParallel):
setattr(model.module, attr_name, value)
else:
setattr(model, attr_name, value)
def call_model_method(model, method_name, *args, **kwargs):
"""
Call method on model, handling DataParallel wrapper
Args:
model: Model (possibly wrapped in DataParallel)
method_name: Method name to call
*args, **kwargs: Arguments to pass to method
Returns:
Method return value
"""
if isinstance(model, nn.DataParallel):
return getattr(model.module, method_name)(*args, **kwargs)
else:
return getattr(model, method_name)(*args, **kwargs) |