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22 lines
614 B
Python
22 lines
614 B
Python
import torch.nn as nn
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from torchvision.models import vgg19
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import config
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# phi_5,4 5th conv layer before maxpooling but after activation
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class VGGLoss(nn.Module):
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def __init__(self):
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super().__init__()
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self.vgg = vgg19(pretrained=True).features[:36].eval().to(config.DEVICE)
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self.loss = nn.MSELoss()
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for param in self.vgg.parameters():
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param.requires_grad = False
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def forward(self, input, target):
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vgg_input_features = self.vgg(input)
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vgg_target_features = self.vgg(target)
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return self.loss(vgg_input_features, vgg_target_features)
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