docstr: Original implementation.
code: def _tfBatchNormV1(
      self, x, m, v, beta, gamma, epsilon, scale_after_normalization
  ):
      """Original implementation."""
      test_util.set_producer_version(ops.get_default_graph(), 8)
      return gen_nn_ops._batch_norm_with_global_normalization(
          x, m, v, beta, gamma, epsilon, scale_after_normalization
      )
  
imports: import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_nn_ops
  from tensorflow.python.ops import gradient_checker
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_impl
  import tensorflow.python.ops.nn_grad
  from tensorflow.python.platform import test
label_desc: Use image node_id 3 for calling the BatchNormalizationTest obj's underlying member method code with example usage: obj._tfBatchNormV1(x, m, v, beta, gamma, epsilon, scale_after_normalization) and returns: gen_nn_ops