code: def forward(self, x: torch.Tensor) -> torch.Tensor:
      return (
          0.5
          * x
          * (
              1.0
              + torch.tanh(x * 0.7978845608 * (1.0 + 0.044715 * x * x))
          )
      )
  
imports: import math
  import torch
  from allennlp.common import Registrable
label_desc: Use image node_id 1 for calling the GeluFast obj's underlying member method code with example usage: obj.forward(x) and returns: unknown