class_docstr: Applies GELU approximation that is faster than default and more accurate than QuickGELU. See:
  https://github.com/hendrycks/GELUs
  
  Implemented along with MEGA (Moving Average Equipped Gated Attention)
class_docstr_tok: ["Applies","GELU","approximation","that","is","faster","than","default","and","more","accurate","than","QuickGELU",".","See",":","https",":","\/\/github.com\/hendrycks\/GELUs","Implemented","along","with","MEGA","(","Moving","Average","Equipped","Gated","Attention",")"]
code: def forward(self, input: Tensor) -> Tensor:
      return (
          0.5
          * input
          * (
              1
              + torch.tanh(
                  self.precomputed_constant
                  * (input + 0.044715 * torch.pow(input, 3))
              )
          )
      )
  
imports: import math
  import warnings
  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 AccurateGELUActivation obj's underlying member method code with example usage: obj.forward(input) and returns: unknown