code: def batch_norm_slow(tensor, mean, variance, beta, gamma, scale):
      batch_norm = (tensor - mean) * math_ops.rsqrt(variance + 0.001)
      if scale:
          batch_norm *= gamma
      return batch_norm + beta
  
imports: import argparse
  import sys
  import time
  from tensorflow.python.client import session
  from tensorflow.python.framework import constant_op
  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 gradients_impl
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_impl
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import variables
  import tensorflow.python.ops.nn_grad
  from tensorflow.python.platform import test
label_desc: Use image node_id 3 for calling a global function with example usage: batch_norm_slow(tensor, mean, variance, beta, gamma, scale) and returns: unknown