message: Update v1 only test with proper reason.
  Also fix warning with deprecated assert method.
diff: @@ -42,8 +42,8 @@ class PywrapQuantizeTrainingTest(test.TestCase):
  b = constant_op.constant(7.0, shape=[1, 1])
  c = math_ops.matmul(a, b, name='matmul')
  - self.assertEquals(c.eval(), 42.0)
  - self.assertEquals(len(sess.graph_def.node), 3)
  + self.assertEqual(c.eval(), 42.0)
  + self.assertEqual(len(sess.graph_def.node), 3)
  result = quantize_training.do_quantize_training_on_graphdef(
  sess.graph_def, 8)
  @@ -53,7 +53,7 @@ class PywrapQuantizeTrainingTest(test.TestCase):
  # Test that save/restoring works for EMA variables generated in the
  # quantized training rewrite.
  - @test_util.run_v1_only('b/120545219')
  + @test_util.run_v1_only('The API is only expect to work with v1 session mode.')
  def testQuantizedSaveRestore(self):
  save_path = os.path.join(self.get_temp_dir(), 'quantized_save_restore')
  @@ -89,12 +89,12 @@ class PywrapQuantizeTrainingTest(test.TestCase):
  # When we restore the saved variabled, the quantization variables should
  # be restored as well.
  saver.restore(sess, save_path)
  - self.assertEquals(7.0, sess.run(g.get_tensor_by_name('b:0')))
  - self.assertEquals(6.0, sess.run(g.get_tensor_by_name('a/Min/Variable:0')))
  - self.assertEquals(6.0, sess.run(g.get_tensor_by_name('a/Max/Variable:0')))
  - self.assertEquals(7.0,
  + self.assertEqual(7.0, sess.run(g.get_tensor_by_name('b:0')))
  + self.assertEqual(6.0, sess.run(g.get_tensor_by_name('a/Min/Variable:0')))
  + self.assertEqual(6.0, sess.run(g.get_tensor_by_name('a/Max/Variable:0')))
  + self.assertEqual(7.0,
  sess.run(g.get_tensor_by_name('b/read/Min/Variable:0')))
  - self.assertEquals(7.0,
  + self.assertEqual(7.0,
  sess.run(g.get_tensor_by_name('b/read/Max/Variable:0')))
  