code: def __init__(self, global_stats_path):
      super().__init__()
  
      with open(global_stats_path) as f:
          blob = json.loads(f.read())
  
      self.register_buffer("mean", torch.tensor(blob["mean"]))
      self.register_buffer("invstddev", torch.tensor(blob["invstddev"]))
  
imports: import json
  import math
  from abc import ABC, abstractmethod
  from dataclasses import dataclass
  from functools import partial
  from typing import Callable, List, Tuple
  import torch
  import torchaudio
  from torchaudio._internal import module_utils
  from torchaudio.models import emformer_rnnt_base, RNNT, RNNTBeamSearch
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)