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| author | Jordan Gong <jordan.gong@protonmail.com> | 2021-04-03 23:07:23 +0800 |
|---|---|---|
| committer | Jordan Gong <jordan.gong@protonmail.com> | 2021-04-03 23:07:23 +0800 |
| commit | 258efcafe4d34ed5ffeebcaab9389f75a17e4717 (patch) | |
| tree | 0f4ffe75990b63b8e17956eeec269e3589852769 /models/auto_encoder.py | |
| parent | 4049566103a00aa6d5a0b1f73569bdc5435714ca (diff) | |
| parent | f6f133fa7b926ce0c7d28bbf0ba4de41b3708d4a (diff) | |
Merge branch 'disentangling_only' into disentangling_only_py3.8
# Conflicts:
# models/model.py
Diffstat (limited to 'models/auto_encoder.py')
| -rw-r--r-- | models/auto_encoder.py | 4 |
1 files changed, 1 insertions, 3 deletions
diff --git a/models/auto_encoder.py b/models/auto_encoder.py index e17caed..b1d51ef 100644 --- a/models/auto_encoder.py +++ b/models/auto_encoder.py @@ -108,15 +108,13 @@ class Decoder(nn.Module): self.trans_conv4 = DCGANConvTranspose2d(feature_channels, out_channels, is_last_layer=True) - def forward(self, f_appearance, f_canonical, f_pose, cano_only=False): + def forward(self, f_appearance, f_canonical, f_pose): x = torch.cat((f_appearance, f_canonical, f_pose), dim=1) x = self.fc(x) x = x.view(-1, self.feature_channels * 8, self.h_0, self.w_0) x = F.relu(x, inplace=True) x = self.trans_conv1(x) x = self.trans_conv2(x) - if cano_only: - return x x = self.trans_conv3(x) x = torch.sigmoid(self.trans_conv4(x)) |