code: def __init__(
      self, embed_dim, dropout=0.1, drop_fn=nn.Dropout, **kwargs
  ):
      super().__init__(embed_dim, dropout=dropout, **kwargs)
      self.drop_fn = (
          drop_fn(dropout) if dropout > 0.0 else nn.Identity()
      )
      self.norm = LayerNormANE(embed_dim)
  
imports: import torch
  import torch.nn
  from .layer_norm import LayerNormANE
label_desc: Use image node_id 1 to create a new ResidualMultiHeadAttention object from inherited base classes: MultiHeadAttention with example: obj = ResidualMultiHeadAttention(embed_dim, dropout, drop_fn)