// project to size of convolution
// x = self.relu(self.fc1(x))
x = self.fc1(x)
// temporal convolutions
ave_alignment = None
for idx, (proj, conv, attention) in enumerate(zip(
After Change
x = F.dropout(x, p=self.dropout, training=self.training)
// project to size of convolution
x = self.relu(self.fc1(x))
// temporal convolutions
ave_alignment = None
for idx, (proj, conv, attention) in enumerate(zip(