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authorJordan Gong <jordan.gong@protonmail.com>2021-01-03 20:17:04 +0800
committerJordan Gong <jordan.gong@protonmail.com>2021-01-03 20:17:04 +0800
commit89d677873eb1c99070bd9a33a36f4c6415396756 (patch)
tree1edcde7ab1f5682ed9775ca798d6d66b1f027232 /models
parentdf3a8021b528cc7d585dc17d3e1f3c18a20ed963 (diff)
Delete dead training judge
Diffstat (limited to 'models')
-rw-r--r--models/auto_encoder.py11
1 files changed, 5 insertions, 6 deletions
diff --git a/models/auto_encoder.py b/models/auto_encoder.py
index ac3cfdf..eaac2fe 100644
--- a/models/auto_encoder.py
+++ b/models/auto_encoder.py
@@ -122,12 +122,11 @@ class AutoEncoder(nn.Module):
self.encoder = Encoder(channels, feature_channels, embedding_dims)
self.decoder = Decoder(embedding_dims, feature_channels, channels)
- if self.training:
- f_c_dim = embedding_dims[1]
- self.classifier = nn.Sequential(
- nn.LeakyReLU(0.2, inplace=True),
- BasicLinear(f_c_dim, num_class)
- )
+ f_c_dim = embedding_dims[1]
+ self.classifier = nn.Sequential(
+ nn.LeakyReLU(0.2, inplace=True),
+ BasicLinear(f_c_dim, num_class)
+ )
def forward(self, x_c1_t1, x_c1_t2, x_c2_t2, y=None):
# x_c1_t2 is the frame for later module