class_docstr: Cross replica batch normalization.
class_docstr_tok: ["Cross","replica","batch","normalization","."]
code: def __init__(self, fused=False, **kwargs):
      if fused in (True, None):
          raise ValueError(
              "TpuBatchNormalization does not support fused=True."
          )
      super(TpuBatchNormalization, self).__init__(fused=fused, **kwargs)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import json
  import os
  import sys
  from absl import logging
  import numpy
  import tensorflow.compat.v1
  from tensorflow.python.tpu import tpu_function
label_desc: Use image node_id 1 to create a new TpuBatchNormalization object from inherited base classes: tf.layers with example: obj = TpuBatchNormalization(fused)