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authorJordan Gong <jordan.gong@protonmail.com>2021-04-03 21:30:35 +0800
committerJordan Gong <jordan.gong@protonmail.com>2021-04-03 23:06:07 +0800
commitf6f133fa7b926ce0c7d28bbf0ba4de41b3708d4a (patch)
tree4bf9b80c1c7a96f081a4e3b3b751145054fccc39 /models/auto_encoder.py
parentd12dd6b04a4e7c2b1ee43ab6f36f25d0c35ca364 (diff)
parentb9f35fbe7d78b3c478086ea26c2a76f72ce35687 (diff)
Merge branch 'master' into disentangling_only
# Conflicts: # config.py # models/hpm.py # models/layers.py # models/model.py # models/part_net.py # models/rgb_part_net.py # test/part_net.py # utils/configuration.py # utils/triplet_loss.py
Diffstat (limited to 'models/auto_encoder.py')
-rw-r--r--models/auto_encoder.py4
1 files changed, 1 insertions, 3 deletions
diff --git a/models/auto_encoder.py b/models/auto_encoder.py
index 2d715db..91071dd 100644
--- a/models/auto_encoder.py
+++ b/models/auto_encoder.py
@@ -106,15 +106,13 @@ 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))