message: Add more tests for tf.is_tensor.
diff: @@ -26,6 +26,8 @@ import numpy as np
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import func_graph
  +from tensorflow.python.framework import indexed_slices
  +from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.framework import test_util
  @@ -33,6 +35,7 @@ from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_state_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import variables
  +from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.platform import test
  @@ -759,15 +762,39 @@ class TensorUtilTest(test.TestCase):
  self.assertFalse(tensor_util.ShapeEquals(t, [4]))
  +@test_util.run_all_in_graph_and_eager_modes
  class IsTensorTest(test.TestCase):
  - @test_util.run_in_graph_and_eager_modes
  def testConstantTensor(self):
  np_val = np.random.rand(3).astype(np.int32)
  tf_val = constant_op.constant(np_val)
  self.assertFalse(tensor_util.is_tensor(np_val))
  self.assertTrue(tensor_util.is_tensor(tf_val))
  + def testRaggedTensor(self):
  + rt = ragged_factory_ops.constant([[1, 2], [3]])
  + rt_value = self.evaluate(rt)
  + self.assertTrue(tensor_util.is_tensor(rt))
  + self.assertFalse(tensor_util.is_tensor(rt_value))
  +
  + def testSparseTensor(self):
  + st = sparse_tensor.SparseTensor([[1, 2]], [3], [10, 10])
  + st_value = self.evaluate(st)
  + self.assertTrue(tensor_util.is_tensor(st))
  + self.assertFalse(tensor_util.is_tensor(st_value))
  +
  + def testIndexedSlices(self):
  + x = indexed_slices.IndexedSlices(
  + constant_op.constant([1, 2, 3]), constant_op.constant([10, 20, 30]))
  + x_value = indexed_slices.IndexedSlicesValue(
  + np.array([1, 2, 3]), np.array([10, 20, 30]), np.array([100]))
  + self.assertTrue(tensor_util.is_tensor(x))
  + self.assertFalse(tensor_util.is_tensor(x_value))
  +
  + def testVariable(self):
  + v = variables.Variable([1, 2, 3])
  + self.assertTrue(tensor_util.is_tensor(v))
  +
  class ConstantValueTest(test.TestCase):
  