model export: remove extraneous model.eval()

Differential Revision: D13969501

fbshipit-source-id: 38bf87d71b0eafe67f3b59ae12ae8541a46dc687

Author: jhcross

pytorch_translate/ensemble_export.py

@@ -267,9 +267,6 @@ def forward(self, src_tokens, src_lengths):
                     torch.jit._fork(model.encoder, src_tokens_seq_first, src_lengths)
                 )
 
-            # evaluation mode
-            model.eval()
-
         for i, (model, future) in enumerate(zip(self.models, futures)):
             if isinstance(model.encoder, TransformerEncoder):
                 encoder_out = future
@@ -1361,9 +1358,6 @@ def forward(self, src_tokens, src_lengths, char_inds, word_lengths):
                 src_tokens_seq_first, src_lengths, char_inds, word_lengths
             )
 
-            # evaluation mode
-            model.eval()
-
             # "primary" encoder output (vector representations per source token)
             encoder_outputs = encoder_out[0]
             outputs.append(encoder_outputs)