code: def gelu(x):
      return (
          0.5
          * x
          * (
              1
              + torch.tanh(
                  math.sqrt(2 / math.pi)
                  * (x + 0.044715 * torch.pow(x, 3))
              )
          )
      )
  
file_path: RecBole/recbole/model/sequential_recommender/gru4reccpr.py
imports: import torch
  from torch import nn
  from torch.nn.init import xavier_uniform_, xavier_normal_
  import torch.nn.functional
  import math
  from recbole.model.abstract_recommender import SequentialRecommender
  from recbole.model.loss import BPRLoss
  import sys
label_desc: Use image node_id 1 for calling a global function with example usage: gelu(x) and returns: unknown