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use return dict for rag encoder (#9363)

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Derrick Blakely
2021-01-02 04:39:14 -07:00
committed by GitHub
parent ae333d04b2
commit 5f7a07c0c8
1 changed files with 1 additions and 1 deletions
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src/transformers/models/rag/modeling_rag.py
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@@ -1437,7 +1437,7 @@ class RagTokenForGeneration(RagPreTrainedModel):
batch_size = context_input_ids.shape[0] // n_docs batch_size = context_input_ids.shape[0] // n_docs
encoder = self.rag.generator.get_encoder() 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( input_ids = torch.full(
(batch_size * num_beams, 1), (batch_size * num_beams, 1),