Remove padding_masks from `gpt_bigcode`. (#27348)

Update modeling_gpt_bigcode.py

src/transformers/models/gpt_bigcode/modeling_gpt_bigcode.py

@@ -235,16 +235,10 @@ class GPTBigCodeAttention(nn.Module):
         encoder_attention_mask: Optional[torch.Tensor] = None,
         use_cache: Optional[bool] = False,
         output_attentions: Optional[bool] = False,
-        **kwargs,
     ) -> Union[
         Tuple[torch.Tensor, Optional[torch.Tensor]],
         Tuple[torch.Tensor, Optional[torch.Tensor], Tuple[torch.Tensor, ...]],
     ]:
-        if "padding_mask" in kwargs:
-            logger.warning_once(
-                "Passing `padding_mask` is deprecated and will be removed in v4.37. Please make sure use `attention_mask` instead.`"
-            )
-
         if encoder_hidden_states is not None:
             if not hasattr(self, "q_attn") or not self.is_cross_attention:
                 raise ValueError(
@@ -308,19 +302,10 @@ class GPTBigCodeFlashAttention2(GPTBigCodeAttention):
         encoder_attention_mask: Optional[torch.Tensor] = None,
         use_cache: Optional[bool] = False,
         output_attentions: Optional[bool] = False,
-        **kwargs,
     ) -> Union[
         Tuple[torch.Tensor, Optional[torch.Tensor]],
         Tuple[torch.Tensor, Optional[torch.Tensor], Tuple[torch.Tensor, ...]],
     ]:
-        if "padding_mask" in kwargs:
-            logger.warning_once(
-                "Passing `padding_mask` is deprecated and will be removed in v4.37. Please make sure use `attention_mask` instead.`"
-            )
-
-            # overwrite attention_mask with padding_mask
-            attention_mask = kwargs.pop("padding_mask")
-
         if encoder_hidden_states is not None:
             if not hasattr(self, "q_attn") or not self.is_cross_attention:
                 raise ValueError(