class_docstr: Normalize each channel separately over time and batch.
      
class_docstr_tok: ["Normalize","each","channel","separately","over","time","and","batch","."]
code: def forward(self, x):
      return super().forward(x.transpose(2, 1)).transpose(2, 1)
  
file_path: TTS/TTS/tts/layers/generic/normalization.py
imports: import torch
  from torch import nn
label_desc: Use image node_id 2 for calling the TemporalBatchNorm1d obj's underlying member method code with example usage: obj.forward(x) and returns: super