code: def testNonSquare(self):
      x_np = [
          [
              [[1, 10], [2, 20]],
              [[3, 30], [4, 40]],
              [[5, 50], [6, 60]],
              [[7, 70], [8, 80]],
              [[9, 90], [10, 100]],
              [[11, 110], [12, 120]],
          ]
      ]
      block_size = 2
      x_out = [
          [
              [[1, 10, 2, 20, 3, 30, 4, 40]],
              [[5, 50, 6, 60, 7, 70, 8, 80]],
              [[9, 90, 10, 100, 11, 110, 12, 120]],
          ]
      ]
      self._testOne(x_np, block_size, x_out)
  
imports: import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  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_v2
  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 10 for calling the SpaceToDepthTest obj's underlying member method code with example usage: obj.testNonSquare() without return types