code: def testInvalidSparseInput(self):
      with self.assertRaisesRegex(
          (ValueError, errors.InvalidArgumentError),
          "Number of elements .* do not match",
      ):
          self.evaluate(
              gen_sparse_ops.sparse_slice(
                  indices=[[0, 0, 0]],
                  values=[0, 1, 2],
                  shape=[3, 3],
                  start=[0, 0],
                  size=[1, 1],
              )
          )
  
imports: import numpy
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import gen_sparse_ops
  from tensorflow.python.ops import gradient_checker
  from tensorflow.python.ops import sparse_ops
  import tensorflow.python.ops.sparse_grad
  from tensorflow.python.platform import test
label_desc: Use image node_id 17 for calling the SparseSliceOpTest obj's underlying member method code with example usage: obj.testInvalidSparseInput() without return types