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Corrected class Up for model to ONNX exporting

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Former-commit-id: 2dceff8c909b16530e1291118a2165ea95744afd
This commit is contained in:
Anton Kornilov 2019-12-29 18:37:47 +03:00
parent c0adecd5d6
commit 70e6ac4258
1 changed files with 2 additions and 2 deletions
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4
unet/unet_parts.py
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@ -54,8 +54,8 @@ class Up(nn.Module):
def forward(self, x1, x2): def forward(self, x1, x2):
x1 = self.up(x1) x1 = self.up(x1)
# input is CHW # input is CHW
diffY = x2.size()[2] - x1.size()[2] diffY = torch.tensor([x2.size()[2] - x1.size()[2]])
diffX = x2.size()[3] - x1.size()[3] diffX = torch.tensor([x2.size()[3] - x1.size()[3]])
x1 = F.pad(x1, [diffX // 2, diffX - diffX // 2, x1 = F.pad(x1, [diffX // 2, diffX - diffX // 2,
diffY // 2, diffY - diffY // 2]) diffY // 2, diffY - diffY // 2])