code: def testBlockSize2Batch10(self):
      block_size = 2
  
      def batch_input_elt(i):
          return [
              [
                  [1 * i, 2 * i, 3 * i, 4 * i],
                  [5 * i, 6 * i, 7 * i, 8 * i],
              ],
              [
                  [9 * i, 10 * i, 11 * i, 12 * i],
                  [13 * i, 14 * i, 15 * i, 16 * i],
              ],
          ]
  
      def batch_output_elt(i):
          return [
              [[1 * i], [2 * i], [5 * i], [6 * i]],
              [[3 * i], [4 * i], [7 * i], [8 * i]],
              [[9 * i], [10 * i], [13 * i], [14 * i]],
              [[11 * i], [12 * i], [15 * i], [16 * i]],
          ]
  
      batch_size = 10
      x_np = [batch_input_elt(i) for i in range(batch_size)]
      x_out = [batch_output_elt(i) for i in range(batch_size)]
      self._testOne(x_np, block_size, x_out)
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.client import device_lib
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  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_array_ops
  from tensorflow.python.ops import gradient_checker
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 4 for calling the DepthToSpaceTest obj's underlying member method code with example usage: obj.testBlockSize2Batch10() and returns: list, list