code: def fused_bias_dropout_add(x, bias, residual, prob, is_training):
      # type: (Tensor, Tensor, Tensor, float, bool) -> Tensor
      if is_training:
          out = jit_bias_dropout_add(x, bias, residual, prob)
      else:
          out = (
              torch.nn.functional.dropout(
                  x + bias, p=prob, training=is_training
              )
              + residual
          )
      return out
  
imports: import torch
label_desc: Use image node_id 4 for calling a global function with example usage: fused_bias_dropout_add(x, bias, residual, prob, is_training) and returns: out