add contiguous call to tensor (#127)

when attention is turned off, pytorch (well, 0.4 at least) gets angry about calling view on a non-contiguous tensor

Author: alexholdenmiller

seq2seq/models/DecoderRNN.py

@@ -102,7 +102,7 @@ def forward_step(self, input_var, hidden, encoder_outputs, function):
         if self.use_attention:
             output, attn = self.attention(output, encoder_outputs)
 
-        predicted_softmax = function(self.out(output.view(-1, self.hidden_size))).view(batch_size, output_size, -1)
+        predicted_softmax = function(self.out(output.contiguous().view(-1, self.hidden_size))).view(batch_size, output_size, -1)
         return predicted_softmax, hidden, attn
 
     def forward(self, inputs=None, encoder_hidden=None, encoder_outputs=None,