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Merge pull request #488 from dhpollack/fix_multichoice

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fixed BertForMultipleChoice model init and forward pass
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Thomas Wolf
2019-04-25 21:04:16 +02:00
committed by GitHub
parent 1cc1c3c344 80f995a141
commit e6cf62d499
1 changed files with 2 additions and 2 deletions
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pytorch_pretrained_bert/modeling.py
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@@ -1052,8 +1052,8 @@ class BertForMultipleChoice(BertPreTrainedModel):
def forward(self, input_ids, token_type_ids=None, attention_mask=None, labels=None): def forward(self, input_ids, token_type_ids=None, attention_mask=None, labels=None):
flat_input_ids = input_ids.view(-1, input_ids.size(-1)) flat_input_ids = input_ids.view(-1, input_ids.size(-1))
flat_token_type_ids = token_type_ids.view(-1, token_type_ids.size(-1)) flat_token_type_ids = token_type_ids.view(-1, token_type_ids.size(-1)) if token_type_ids is not None else None
flat_attention_mask = attention_mask.view(-1, attention_mask.size(-1)) flat_attention_mask = attention_mask.view(-1, attention_mask.size(-1)) if attention_mask is not None else None
_, pooled_output = self.bert(flat_input_ids, flat_token_type_ids, flat_attention_mask, output_all_encoded_layers=False) _, pooled_output = self.bert(flat_input_ids, flat_token_type_ids, flat_attention_mask, output_all_encoded_layers=False)
pooled_output = self.dropout(pooled_output) pooled_output = self.dropout(pooled_output)
logits = self.classifier(pooled_output) logits = self.classifier(pooled_output)