Remove unsuper pool layer.
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39cecd1146
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@ -43,7 +43,8 @@ class ConvNet(nn.Module):
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return x
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def forward_unsuper(self, x):
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x = self.pool(self.conv1(x))
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x = self.conv1(x)
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# x = self.pool(self.conv1(x))
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return x
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def forward_finetune(self, x):
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@ -120,9 +121,7 @@ for epoch in range(epochs):
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diff_ratio_mean = torch.mean(diff_ratio * diff_ratio, dim=1)
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label = diff_ratio_mean * 0.5
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loss = F.l1_loss(diff_ratio_mean, label)
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if model.conv1.weight.grad is None:
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model.conv1.weight.grad = model.conv1.weight.data
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model.conv1.weight.grad = model.conv1.weight.grad * 0.0
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model.conv1.weight.grad = None
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loss.backward()
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model.conv1.weight.data = model.conv1.weight.data - model.conv1.weight.grad * 0.2
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if (i + 1) % 100 == 0:
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