Missing key(s) in state_dict: Unexpected key(s) in state_dict

如果加载的预训练模型之前使用了torch.nn.DataParallel(),而此时的训练并没有使用,则会出现这样的错误。
解决方案有两个:
1:此时的训练加入torch.nn.DataParallel()即可。
2:创建一个没有module.的新字典,即将原来字典中module.删除掉。
解决方案1:

model = torch.nn.DataParallel(model)
cudnn.benchmark = True


解决方案2:
# original saved file with DataParallel
state_dict = torch.load('myfile.pth')
# create new OrderedDict that does not contain `module.`
from collections import OrderedDict
new_state_dict = OrderedDict()
for k, v in state_dict.items():
    name = k[7:] # remove `module.`
    new_state_dict[name] = v
# load params
model.load_state_dict(new_state_dict)

解决方案3:
model.load_state_dict({k.replace('module.',''):v for k,v in torch.load('myfile.pth').items()})

转载于:https://www.cnblogs.com/llfctt/p/11045066.html

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转载自blog.csdn.net/weixin_34184561/article/details/93186733