class_docstr: Log Compression Activation.
  
  Activation function `log(abs(x) + 1)`.
class_docstr_tok: ["Log","Compression","Activation",".","Activation","function","`","log","(","abs","(","x",")","+","1",")","`","."]
docstr: Forward.
  
  Applies the Log Compression function elementwise on tensor x.
docstr_tok: ["Forward",".","Applies","the","Log","Compression","function","elementwise","on","tensor","x","."]
code: def forward(self, x: torch.Tensor) -> torch.Tensor:
      """Forward.
  
      Applies the Log Compression function elementwise on tensor x.
      """
      return torch.log(torch.abs(x) + 1)
  
imports: import math
  from typing import Union
  import torch
  from typeguard import check_argument_types
label_desc: Use image node_id 2 for calling the LogCompression obj's underlying member method code with example usage: obj.forward(x) and returns: torch