code: def gelu_fast(x):
      return (
          0.5
          * x
          * (
              1.0
              + torch.tanh(x * 0.7978845608 * (1.0 + 0.044715 * x * x))
          )
      )
  
file_path: fastNLP/fastNLP/transformers/torch/activations.py
imports: import math
  from packaging import version
  from fastNLP.envs.imports import _NEED_IMPORT_TORCH
  from fastNLP.core.log import logger
label_desc: Use image node_id 3 for calling a global function with example usage: gelu_fast(x) and returns: unknown