code: def testBlockSizeLargerThanInput(self):
      # The block size is too large for this input.
      x_np = [[[[1], [2]], [[3], [4]]]]
      block_size = 10
      with self.assertRaises(ValueError):
          out_tf = array_ops.space_to_depth(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 14 for calling the DepthToSpaceTest obj's underlying member method code with example usage: obj.testBlockSizeLargerThanInput() without return types