  
  @pytest.mark.parametrize("dummy", [None], ids=[get_backend().upper()])
  def test_adabelief(dummy):  # pylint:disable=unused-argument
      """ Test for custom Adam optimizer """
      _test_optimizer(optimizers.AdaBelief(), target=0.6)
 
</s> remove             List of tf variables to create slots for
 </s> add             List of tensorflow variables to create slots for </s> remove         an optimizer. The same optimizer can be reinstantiated later (without any saved state) from
        this configuration.
 </s> add         an optimizer. The same optimizer can be re-instantiated later (without any saved state)
        from this configuration. </s> remove         an optimizer. The same optimizer can be reinstantiated later (without any saved state) from
        this configuration.
 </s> add         an optimizer. The same optimizer can be re-instantiated later (without any saved state)
        from this configuration.
    _test_optimizer(optimizers.AdaBelief(), target=0.5)
  
  @pytest.mark.parametrize("dummy", [None], ids=[get_backend().upper()])
  def test_adabelief(dummy):  # pylint:disable=unused-argument
      """ Test for custom Adam optimizer """
    _test_optimizer(optimizers.AdaBelief(), target=0.5)
keep keep keep keep replace
 Update Travis Tests for optimizers 
tests/lib/model/optimizers_test.py