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thinks for your great work, I found a err in resnet.py #line 148
x = nn.Dropout(p=0.5)(x)
set net.eval() doesn't work for it ,i think need to defind a self.drop with nn.Dropout(p=0.5) in init function or change to F.dropout(x,p=0.5,training=self.training)
The text was updated successfully, but these errors were encountered:
This should be fixed since the model returns at test time different results! Took me an hour to figure it out. Should have checked the issues before :-/
thinks for your great work, I found a err in resnet.py #line 148
x = nn.Dropout(p=0.5)(x)
set net.eval() doesn't work for it ,i think need to defind a self.drop with nn.Dropout(p=0.5) in init function or change to F.dropout(x,p=0.5,training=self.training)
The text was updated successfully, but these errors were encountered: