code: def bias_dropout_add(x, bias, residual, prob, training):
      # type: (Tensor, Tensor, Tensor, float, bool) -> Tensor
      out = torch.nn.functional.dropout(
          x + bias, p=prob, training=training
      )
      out = residual + out
      return out
  
label_desc: Use image node_id 1 for calling a global function with example usage: bias_dropout_add(x, bias, residual, prob, training) and returns: out