class_docstr: Fixed default name of BatchNormalization to match TpuBatchNormalization.
class_docstr_tok: ["Fixed","default","name","of","BatchNormalization","to","match","TpuBatchNormalization","."]
code: def __init__(self, **kwargs):
      if not kwargs.get("name", None):
          kwargs["name"] = "tpu_batch_normalization"
      super().__init__(**kwargs)
  
imports: from typing import Text, Tuple, Union
  import tensorflow
  import argparse
  import tensorflow.compat.v1
  from enum import Enum
  from collections import namedtuple
  from tensorflow.python.eager import tape
  from tensorflow.python.tpu import tpu_function
label_desc: Use image node_id 1 to create a new BatchNormalization object from inherited base classes: tf.keras.layers with example: obj = BatchNormalization()