code: def __init__(
      self, epsilon, use_layer_norm_op=True, scale_init_value=1.0
  ):
      super().__init__()
      self._epsilon = float(epsilon)
      self._use_layer_norm_op = use_layer_norm_op
      self._scale_init_value = float(scale_init_value)
  
file_path: pytorch/caffe2/python/normalizer.py
label_desc: Use image node_id 1 to create a new LayerNormalizer object from inherited base classes: Normalizer with example: obj = LayerNormalizer(epsilon, use_layer_norm_op, scale_init_value)