fix typo in comments (#6838)
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@@ -803,8 +803,8 @@ class BertModel(BertPreTrainedModel):
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# ourselves in which case we just need to make it broadcastable to all heads.
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extended_attention_mask: torch.Tensor = self.get_extended_attention_mask(attention_mask, input_shape, device)
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# If a 2D ou 3D attention mask is provided for the cross-attention
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# we need to make broadcastabe to [batch_size, num_heads, seq_length, seq_length]
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# If a 2D or 3D attention mask is provided for the cross-attention
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# we need to make broadcastable to [batch_size, num_heads, seq_length, seq_length]
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if self.config.is_decoder and encoder_hidden_states is not None:
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encoder_batch_size, encoder_sequence_length, _ = encoder_hidden_states.size()
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encoder_hidden_shape = (encoder_batch_size, encoder_sequence_length)
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