  @pytest.mark.parametrize('dummy', [None], ids=[get_backend().upper()])
  def test_keras(dummy):  # pylint:disable=unused-argument
      """ Sanity check to ensure that tensorflow keras is being used for CPU and standard
      keras for AMD. """
      assert ((_BACKEND == "cpu" and keras.__version__.endswith("-tf")) or
              (_BACKEND == "amd" and not keras.__version__.endswith("-tf")))
 
</s> remove             If Tensorflow is not found, or is not between versions 2.2 and 2.2
 </s> add             If Tensorflow is not found, or is not between versions 2.3 and 2.3 </s> remove         in Conda """
 </s> add         in Conda.

        This was used whilst Tensorflow 2.2 was not available for Windows in Conda. It is kept
        here in case it is required again in the future.
        """ </s> remove             "The minimum Tensorflow requirement is 2.2 \n"
 </s> add             "The minimum Tensorflow requirement is 2.3 \n" </s> remove     """ Add a handler that stores the last 100 debug lines to :attr:'_debug_buffer' for use in
 </s> add     """ Add a handler that stores the last 100 debug lines to :attr:'_DEBUG_BUFFER' for use in
    assert ((_BACKEND == "cpu" and keras.__version__ == "2.4.0") or
            (_BACKEND == "amd" and keras.__version__ == "2.2.4"))
  @pytest.mark.parametrize('dummy', [None], ids=[get_backend().upper()])
  def test_keras(dummy):  # pylint:disable=unused-argument
      """ Sanity check to ensure that tensorflow keras is being used for CPU and standard
      keras for AMD. """
    assert ((_BACKEND == "cpu" and keras.__version__ == "2.4.0") or
            (_BACKEND == "amd" and keras.__version__ == "2.2.4"))
    assert ((_BACKEND == "cpu" and keras.__version__ == "2.4.0") or
            (_BACKEND == "amd" and keras.__version__ == "2.2.4"))
keep keep keep keep replace replace
 Update to TF2.3 (#1100)

* Minimum requirements to tf2.3.
  - Handle upgrades for Windows users with tf2.2 installed by Pip
  - Handle windows upgrade from pip tf2.2
  - Explicitly install Cuda for Conda installs

* Update tensorflow errors api reference
* Suppress AutoGraph warning messages
* Update GUI Stats to work with tf2.3
* Fix live graph for tf2.3
* DSSIMObjective - autoGraph bugfix
* Update Travis test 
tests/startup_test.py