code: def testBlockSizeOne(self):
      x_np = [
          [[[1, 1, 1, 1], [2, 2, 2, 2]], [[3, 3, 3, 3], [4, 4, 4, 4]]]
      ]
      block_size = 1
      with self.assertRaises(ValueError):
          out_tf = array_ops.depth_to_space(x_np, block_size)
          self.evaluate(out_tf)
  
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 13 for calling the DepthToSpaceTest obj's underlying member method code with example usage: obj.testBlockSizeOne() without return types