import torch
device = 'cpu'
new_state={}
state_dict = torch.load('../pretrained_models/1000000_G.pth',map_location=device)
for name,layer in state_dict.items():
if 'up' not in name:
print(name)
#print(layer)
new_state[name]=layer
torch.save(new_state,'./100w_new.pth')
修改pt,生成新的pt文件,删除带有up的层。
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转载自blog.csdn.net/qq_40962125/article/details/134260075
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