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 __init__(self):
      super().__init__()
      self.precomputed_constant = math.sqrt(2 / math.pi)
  
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 1 to create a new AccurateGELUActivation object from inherited base classes: nn with example: obj = AccurateGELUActivation()