import torch.nn as nn
import torchvision.models as models
class resnet(nn.Module):
def __init__(self):
super(resnet,self).__init__()
self.model = models.resnet18(pretrained=True)
self.encoder = nn.Sequential(*list(self.model.children())[:-1])
def forward(self,x):
y = self.encoder(x)
return y
net = resnet()
Pytorch加载预训练模型前n层
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转载自www.cnblogs.com/dyclown/p/13170884.html
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