message: with context.eager_mode() in new unit test
diff: @@ -156,8 +156,8 @@ class IndexedSlicesTest(test_util.TensorFlowTestCase):
  tensor = ops.convert_to_tensor(x, name="tensor")
  self.assertAllEqual(self.evaluate(tensor), [[2, 3], [0, 0], [5, 7]])
  - @test_util.run_in_graph_and_eager_modes
  def testEagerCopy(self):
  + with context.eager_mode():
  shape = (5, 5)
  initializer = tf.random_uniform_initializer(-1.0, 1.0)
  var = tfe.Variable(initializer(shape), name='tensor')
  @@ -167,7 +167,7 @@ class IndexedSlicesTest(test_util.TensorFlowTestCase):
  r = tf.einsum('ij,ij->i', a, b)
  g = tape.gradient(r, [var])[0]
  values = g.values if isinstance(g, tf.IndexedSlices) else g
  - self.assertAllEqual(values.get_shape(), (4, 5))
  + self.assertAllEqual(values.get_shape(), [4, 5])
  @test_util.run_deprecated_v1
  def testNegation(self):
  