code: def testBlockSize0(self):
      # The block size is 0.
      x_np = [[[[1], [2]], [[3], [4]]]]
      block_size = 0
      with self.assertRaises((ValueError, errors.InvalidArgumentError)):
          out_tf = array_ops.space_to_depth(x_np, block_size)
          self.evaluate(out_tf)
  
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 13 for calling the SpaceToDepthTest obj's underlying member method code with example usage: obj.testBlockSize0() without return types