code: def erf_gelu(x):
      return (
          x
          * 0.5
          * (
              torch.erf(x / 1.41421).to(dtype=x.dtype)
              + torch.ones_like(x).to(dtype=x.dtype)
          )
      )
  
imports: import itertools
  import math
  from typing import Dict, Iterator, List, Tuple, Union
  import torch
  import torch.nn
  from torch import Tensor
label_desc: Use image node_id 11 for calling a global function with example usage: erf_gelu(x) and returns: unknown