class_docstr: Applies GELU approximation that is slower than QuickGELU but more accurate. See: https://github.com/hendrycks/GELUs
code: def forward(self, input: Tensor) -> Tensor:
      return (
          0.5
          * input
          * (
              1.0
              + torch.tanh(
                  input
                  * 0.7978845608
                  * (1.0 + 0.044715 * input * input)
              )
          )
      )
  
imports: import math
  from collections import OrderedDict
  import torch
  from packaging import version
  from torch import Tensor, nn
  from .utils import logging
label_desc: Use image node_id 1 for calling the FastGELUActivation obj's underlying member method code with example usage: obj.forward(input) and returns: unknown