code: def forward(self, input):
      return torch.log(torch.clamp(input, min=1e-5))
  
imports: from typing import Callable, List, Tuple
  import torch
  from torch import Tensor
  from torch.utils.data.dataset import random_split
  from torchaudio.datasets import LJSPEECH
label_desc: Use image node_id 1 for calling the SpectralNormalization obj's underlying member method code with example usage: obj.forward(input) and returns: torch