docstr: New implementation.
code: def _tfBatchNormV2(
      self,
      x,
      m,
      v,
      beta,
      gamma,
      epsilon,
      scale_after_normalization,
      shift_after_normalization,
  ):
      """New implementation."""
      return nn_impl.batch_normalization(
          x,
          m,
          v,
          beta if shift_after_normalization else None,
          gamma if scale_after_normalization else None,
          epsilon,
      )
  
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 5 for calling the BatchNormalizationTest obj's underlying member method code with example usage: obj._tfBatchNormV2(x, m, v, beta, gamma, epsilon, scale_after_normalization, shift_after_normalization) and returns: nn_impl