merge changes

Author: ebsmothers

torchtext/models/roberta/modules.py

@@ -286,7 +286,6 @@ def __init__(
     def forward(self, tokens: torch.Tensor, attn_mask: Optional[torch.Tensor] = None) -> Union[torch.Tensor, List[torch.Tensor]]:
         if attn_mask is not None:
             torch._assert(attn_mask.is_floating_point() or attn_mask.dtype == torch.bool, f"Only float or bool types are supported for attn_mask not {attn_mask.dtype}")
-
         padding_mask = tokens.eq(self.padding_idx)
 
         token_embeddings = self.token_embedding(tokens)
@@ -325,4 +324,4 @@ def forward(self, tokens: torch.Tensor, attn_mask: Optional[torch.Tensor] = None
                 encoded = self.embedding_layer_norm(encoded)
 
             # states are returned as T x B x C
-            return encoded
+            return encoded