message: Remove keras_tensor skipping from keras tensorflow_op_layer_test
diff: @@ -185,7 +185,7 @@ def _reuse_ancillary_layer():
  return model
  -@keras_parameterized.run_all_keras_modes(skip_keras_tensors=True)
  +@keras_parameterized.run_all_keras_modes()
  class AutoLambdaTest(keras_parameterized.TestCase):
  @parameterized.named_parameters(
  @@ -333,7 +333,7 @@ class AutoLambdaTest(keras_parameterized.TestCase):
  class InputInEagerTest(test.TestCase):
  - """Tests ops on graph tensors in Eager runtime.
  + """Tests ops on keras inputs in Eager runtime.
  Input returns graph/symbolic tensors in the Eager runtime (this
  happens, for example, with tensors returned from Keras layers). These
  @@ -343,7 +343,6 @@ class InputInEagerTest(test.TestCase):
  def test_identity(self):
  with context.eager_mode():
  x = keras.Input(shape=(1,))
  - self.assertTrue(hasattr(x, 'graph'))
  ident = array_ops.identity(x)
  # This is now a graph tensor, and should be able to continue in graphland
  @@ -352,7 +351,6 @@ class InputInEagerTest(test.TestCase):
  def test_size(self):
  with context.eager_mode():
  x = keras.Input(shape=(3,))
  - self.assertTrue(hasattr(x, 'graph'))
  self.assertAllEqual(x.get_shape().as_list(), [None, 3])
  sz = array_ops.size(x)
  