code: def get_diff(l1, l2):
      l2 = l2[::-1]
      for i1, i2 in zip(l1, l2):
          print(i1 - i2)
      for i1, i2 in zip(l1, l2):
          print(np.max(np.abs(i1 - i2)))
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  import tempfile
  from absl.testing import parameterized
  import numpy
  from tensor2tensor.layers import common_attention
  from tensor2tensor.layers import transformer_glow_layers
  from tensor2tensor.layers import transformer_glow_layers_ops
  from tensor2tensor.models import transformer
  import tensorflow.compat.v1
label_desc: Use image node_id 2 for calling a global function with example usage: get_diff(l1, l2) without return types