code: def forward(self, x0, x1=None):
      return dropout_add_layer_norm(
          x0,
          x1,
          self.weight,
          self.bias,
          self.p if self.training else 0.0,
          self.epsilon,
          prenorm=self.prenorm,
          residual_in_fp32=self.residual_in_fp32,
      )
  
imports: import torch
  from torch.nn import init
  from apex.contrib.layer_norm.layer_norm import FastLayerNormFN, FastLayerNorm
  import dropout_layer_norm
label_desc: Use image node_id 3 for calling the DropoutAddLayerNorm obj's underlying member method code with example usage: obj.forward(x0, x1) and returns: dropout_add_layer_norm