code: def testInvalidSparseTensor(self):
      with test_util.force_cpu():
          shape = [2, 2]
          val = [0]
          dense = constant_op.constant(np.zeros(shape, dtype=np.int32))
  
          for bad_idx in [
              [[-1, 0]],  # -1 is invalid.
              [[1, 3]],  # ...so is 3.
          ]:
              sparse = sparse_tensor.SparseTensorValue(
                  bad_idx, val, shape
              )
              with self.assertRaisesRegex(
                  (ValueError, errors_impl.InvalidArgumentError),
                  "invalid index",
              ):
                  s = sparse_ops.sparse_add(sparse, dense)
                  self.evaluate(s)
  
imports: import timeit
  import numpy
  from tensorflow.python.client import session
  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 sparse_tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import gradient_checker
  from tensorflow.python.ops import math_ops
  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 11 for calling the SparseAddTest obj's underlying member method code with example usage: obj.testInvalidSparseTensor() without return types