message: Remove the run_v1_only annotation in the keras/test/tracking_test.py
  Fix the test with assertIn() which is not working with variable in eager.
diff: @@ -27,7 +27,6 @@ from tensorflow.python.eager import test
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  -from tensorflow.python.framework import test_util
  from tensorflow.python.keras import combinations
  from tensorflow.python.keras import keras_parameterized
  from tensorflow.python.keras.engine import sequential
  @@ -78,7 +77,6 @@ class HasList(training.Model):
  class ListTests(keras_parameterized.TestCase):
  @combinations.generate(combinations.combine(mode=["graph", "eager"]))
  - @test_util.run_v1_only("b/120545219")
  def testTracking(self):
  with self.test_session():
  model = HasList()
  @@ -109,11 +107,11 @@ class ListTests(keras_parameterized.TestCase):
  self.evaluate(model.variables[0]))
  v = variables.Variable(1.)
  model.var_list = [v]
  - self.assertIn(v, model.variables)
  - self.assertIn(v, model.trainable_variables)
  - self.assertNotIn(v, model.non_trainable_variables)
  - self.assertIn(model.layer_list[0].trainable_weights[0],
  - model.trainable_weights)
  + self.assertTrue(any(v is t for t in model.variables))
  + self.assertTrue(any(v is t for t in model.trainable_variables))
  + self.assertFalse(any(v is t for t in model.non_trainable_variables))
  + self.assertTrue(any(model.layer_list[0].trainable_weights[0]
  + is t for t in model.trainable_weights))
  def testSubModelTracking(self):
  model = training.Model()
  @@ -180,7 +178,6 @@ class ListTests(keras_parameterized.TestCase):
  m2(m2.null_input())
  self.assertLen(m2.trainable_variables, 6)
  - @test_util.run_v1_only("b/120545219")
  def testUpdatesForwarded(self):
  with context.graph_mode():
  model = HasList()
  @@ -197,7 +194,6 @@ class ListTests(keras_parameterized.TestCase):
  self.assertEqual(0, len(model.updates))
  @combinations.generate(combinations.combine(mode=["graph", "eager"]))
  - @test_util.run_v1_only("b/120545219")
  def testLossesForwarded(self):
  model = HasList()
  model_input = array_ops.ones([32, 2])
  