docstr: Re-implementation of the original kernel for backward compatibility.
code: def _tfBatchNormV1BW(
      self, x, m, v, beta, gamma, epsilon, scale_after_normalization
  ):
      """Re-implementation of the original kernel for backward compatibility."""
      return nn_impl.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 4 for calling the BatchNormalizationTest obj's underlying member method code with example usage: obj._tfBatchNormV1BW(x, m, v, beta, gamma, epsilon, scale_after_normalization) and returns: nn_impl