add activation at the end

nnet/xvector.py

@@ -99,8 +99,8 @@ class Xtractor(torch.nn.Module):
         # new layer with batch Normalization
         seg_emb_2 = self.norm6(self.activation(self.seg_lin1(seg_emb_1)))
         # No batch-normalisation after this layer
-        # seg_emb_3 = self.activation(self.seg_lin2(seg_emb_2))
-        seg_emb_3 = self.seg_lin2(seg_emb_2)
+         seg_emb_3 = self.activation(self.seg_lin2(seg_emb_2))
+        #seg_emb_3 = self.seg_lin2(seg_emb_2)
         return seg_emb_3
 
     def LossFN(self, x, lable):