pytorch 修改预训练model实例

我就废话不多说了，直接上代码吧！classNet(nn.Module):def__init__(self,model):super(Net,self).__init__()#

我就废话不多说了，直接上代码吧！

 class Net(nn.Module):
 def __init__(self , model):
 super(Net, self).__init__()
 #取掉model的后两层
 self.resnet_layer = nn.Sequential(*list(model.children())[:-2])
 self.transion_layer = nn.ConvTranspose2d(2048, 2048, kernel_size=14, stride=3)
 self.pool_layer = nn.MaxPool2d(32) 
 self.Linear_layer = nn.Linear(2048, 8)
 
 def forward(self, x):
 x = self.resnet_layer(x)
 x = self.transion_layer(x)
 x = self.pool_layer(x)
 x = x.view(x.size(0), -1) 
 x = self.Linear_layer(x) 
 return x

resnet = models.resnet50(pretrained=True)
model = Net(resnet)

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