code: def __init__(
      self,
      norm_means: bool = True,
      norm_vars: bool = False,
      eps: float = 1.0e-20,
  ):
      assert check_argument_types()
      super().__init__()
      self.norm_means = norm_means
      self.norm_vars = norm_vars
      self.eps = eps
  
file_path: espnet/espnet2/layers/utterance_mvn.py
imports: from typing import Tuple
  import torch
  from typeguard import check_argument_types
  from espnet2.layers.abs_normalize import AbsNormalize
  from espnet.nets.pytorch_backend.nets_utils import make_pad_mask
label_desc: Use image node_id 1 to create a new UtteranceMVN object from inherited base classes: AbsNormalize with example: obj = UtteranceMVN(norm_means, norm_vars, eps)