class_docstr: Original Implementation of the GELU activation function in Google BERT repo when initially created. For
  information: OpenAI GPT's GELU is slightly different (and gives slightly different results): 0.5 * x * (1 +
  torch.tanh(math.sqrt(2 / math.pi) * (x + 0.044715 * torch.pow(x, 3)))) This is now written in C in nn.functional
  Also see the Gaussian Error Linear Units paper: https://arxiv.org/abs/1606.08415
code: def _gelu_python(self, input: Tensor) -> Tensor:
      return input * 0.5 * (1.0 + torch.erf(input / math.sqrt(2.0)))
  
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 2 for calling the GELUActivation obj's underlying member method code with example usage: obj._gelu_python(input) and returns: unknown