code: def __init__(self, global_stats_path):
      super().__init__()
  
      with open(global_stats_path) as f:
          blob = json.loads(f.read())
  
      self.mean = torch.tensor(blob["mean"])
      self.invstddev = torch.tensor(blob["invstddev"])
  
imports: import json
  import math
  import random
  from functools import partial
  from typing import List
  import sentencepiece
  import torch
  import torchaudio
  from data_module import LibriSpeechDataModule
  from lightning import Batch
label_desc: Use image node_id 1 to create a new GlobalStatsNormalization object from inherited base classes: torch.nn with example: obj = GlobalStatsNormalization(global_stats_path)