code: def forward(self, q, k, v, **kwargs):
      attn, attn_weights = self._forward_impl(q, k, v, **kwargs)
      return self.norm(self.drop_fn(attn) + q), attn_weights
  
imports: import torch
  import torch.nn
  from .layer_norm import LayerNormANE
label_desc: Use image node_id 2 for calling the ResidualMultiHeadAttention obj's underlying member method code with example usage: obj.forward(q, k, v) and returns: self,  attn_weights