use return dict for rag encoder (#9363)

2021-01-02 04:39:14 -07:00
parent ae333d04b2
commit 5f7a07c0c8
1 changed files with 1 additions and 1 deletions
--- a/src/transformers/models/rag/modeling_rag.py
+++ b/src/transformers/models/rag/modeling_rag.py
@@ -1437,7 +1437,7 @@ class RagTokenForGeneration(RagPreTrainedModel):
        batch_size = context_input_ids.shape[0] // n_docs

        encoder = self.rag.generator.get_encoder()
-        encoder_outputs = encoder(input_ids=context_input_ids, attention_mask=context_attention_mask)
+        encoder_outputs = encoder(input_ids=context_input_ids, attention_mask=context_attention_mask, return_dict=True)

        input_ids = torch.full(
            (batch_size * num_beams, 1),