class_docstr: Implementation of the GELU activation function currently in Google BERT
  repo (identical to OpenAI GPT).
  Reference: Gaussian Error Linear Units (GELU) paper:
  https://arxiv.org/abs/1606.08415
class_docstr_tok: ["Implementation","of","the","GELU","activation","function","currently","in","Google","BERT","repo","(","identical","to","OpenAI","GPT",")",".","Reference",":","Gaussian","Error","Linear","Units","(","GELU",")","paper",":","https",":","\/\/arxiv.org\/abs\/1606.08415"]
code: def forward(self, x):
      return (
          0.5
          * x
          * (
              1.0
              + torch.tanh(
                  math.sqrt(2.0 / math.pi)
                  * (x + 0.044715 * torch.pow(x, 3.0))
              )
          )
      )
  
imports: import math
  from dataclasses import dataclass
  from typing import Tuple
  import torch
  import torch.nn
  from torch.nn import functional
  from ray.rllib.utils.annotations import DeveloperAPI
  from ray.rllib.utils.deprecation import Deprecated
label_desc: Use image node_id 1 for calling the NewGELU obj's underlying member method code with example usage: obj.forward(x) and returns: unknown