some typos

yoyodyne/models/rnn.py

@@ -150,7 +150,7 @@ def beam_decode(
             ],
             device=self.device,
         ).unsqueeze(0)
-        # --> B x beam_size.
+        # -> B x beam_size.
         scores = torch.tensor([h[0] for h in histories]).unsqueeze(0)
         return predictions, scores
 
@@ -253,16 +253,14 @@ def forward(
         # match the Tuple[torch.Tensor, torch.Tensor] type because the
         # training and validation functions depend on it.
         if self.beam_width > 1:
-            x = self.beam_decode(encoder_out, batch.source.mask)
-            return x
+            return self.beam_decode(encoder_out, batch.source.mask)
         else:
-            x = self.greedy_decode(
+            return self.greedy_decode(
                 encoder_out,
                 batch.source.mask,
                 self.teacher_forcing if self.training else False,
                 batch.target.padded if batch.target else None,
             )
-            return x
 
     @staticmethod
     def add_argparse_args(parser: argparse.ArgumentParser) -> None: