Beispiel #1
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    def test_build_graph():
        """Tests the build_graph method."""

        model = base_model.Model(TestAssistant.mock_dataset())
        model.model_fn = lambda x, y: (x, y)
        expected_x = TestAssistant.zero_array()
        expected_is_training = True

        x, is_training = model.build_graph(expected_x, expected_is_training)

        np.testing.assert_array_equal(x, expected_x)
        assert is_training == expected_is_training
Beispiel #2
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 def test_test():
     """Test the test() method, doesn't raise."""
     model = base_model.Model(TestAssistant.mock_dataset())
     model.model_fn = lambda x, y: x
     model.test()
Beispiel #3
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    def test_build_graph_raises():
        """Tests that the non overridden model_fn raises on a build_graph call."""

        model = base_model.Model(TestAssistant.mock_dataset())
        with pytest.raises(NotImplementedError):
            model.build_graph(TestAssistant.zero_tensor(), True)
Beispiel #4
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    def test_model_fn_raises():
        """Tests that the non overridden model_fn raises NotImplemented."""

        model = base_model.Model(TestAssistant.mock_dataset())
        with pytest.raises(NotImplementedError):
            model.model_fn(TestAssistant.zero_tensor(), True)