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