code: def forward(self, qkv, **kwargs):
      attn, attn_weights = self._forward_impl(qkv, qkv, qkv, **kwargs)
      return self.norm(self.drop_fn(attn) + qkv), attn_weights
  
imports: import torch
  import torch.nn
  from .layer_norm import LayerNormANE
label_desc: Use image node_id 1 for calling the ResidualSelfAttention obj's underlying member method code with example usage: obj.forward(qkv) and returns: self,  attn_weights