class_docstr: GELU activiation layer.
  
  Applies the Gaussian Error Linear Units function (w/ dummy inplace arg)
  Described in: https://arxiv.org/abs/1606.08415.
  
  Args:
      inplace(`Bool`):
          whether use inplace version.
  Returns:
          output tensor after activation.
code: def __init__(self, inplace: bool = False) -> None:
      super().__init__()
      if inplace is True:
          pass
  
imports: import torch
  from torch import nn
  from torch.nn import functional
label_desc: Use image node_id 1 to create a new GELU object from inherited base classes: nn with example: obj = GELU(inplace)