code: def _opsBatchNorm(
      self,
      x,
      m,
      v,
      beta,
      gamma,
      epsilon,
      scale_after_normalization,
      shift_after_normalization,
  ):
      y = (x - m) * math_ops.rsqrt(v + epsilon)
      if scale_after_normalization:
          y = gamma * y
      return y + beta if shift_after_normalization else y
  
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 2 for calling the BatchNormalizationTest obj's underlying member method code with example usage: obj._opsBatchNorm(x, m, v, beta, gamma, epsilon, scale_after_normalization, shift_after_normalization) and returns: unknown