예제 #1
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    def test_05_load_model(self):
        path = ROOT_PATH
        manager = InstanceManager(path)

        model = DummyModel
        input_shape = (32, 32, 3)
        manager.build_instance(model)

        visualizer_1 = DummyVisualizer_1
        visualizer_2 = DummyVisualizer_2

        visualizers = [visualizer_1, visualizer_2]
        manager.load_visualizer(visualizers)

        dataset = DummyDataset()
        epoch_time = 10
        check_point_interval = 2
        manager.train_instance(dataset, epoch_time, check_point_interval)

        #
        manager = InstanceManager(path)
        manager.load_instance(input_shape)

        visualizer_1 = DummyVisualizer_1
        visualizer_2 = DummyVisualizer_2

        visualizers = [visualizer_1, visualizer_2]
        manager.load_visualizer(visualizers)

        dataset = DummyDataset()
        epoch_time = 10
        check_point_interval = 2
        manager.train_instance(dataset, epoch_time, check_point_interval)
예제 #2
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    def test_03_train_model(self):
        path = ROOT_PATH
        manager = InstanceManager(path)

        model = DummyModel
        manager.build_instance(model)

        visualizer_1 = DummyVisualizer_1
        visualizer_2 = DummyVisualizer_2

        visualizers = [visualizer_1, visualizer_2]
        manager.load_visualizer(visualizers)

        dataset = DummyDataset()
        epoch_time = 10
        manager.train_instance(dataset, epoch_time)
예제 #3
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    def test_03_train_model(self):
        path = ROOT_PATH
        manager = InstanceManager(path)

        model = DummyModel
        input_shape = (32, 32, 3)
        manager.gen_instance(model, input_shape)

        visualizer_1 = DummyVisualizer_1
        visualizer_2 = DummyVisualizer_2

        visualizers = [visualizer_1, visualizer_2]
        manager.load_visualizer(visualizers)

        dataset = DummyDataset()
        epoch_time = 10
        manager.train_model(dataset, epoch_time)
예제 #4
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def f():
    path = ROOT_PATH
    manager = InstanceManager(path)

    model = DummyModel
    input_shape = (32, 32, 3)
    manager.gen_instance(model, input_shape)

    visualizers = [
        (dummy_log, 10),
    ]
    manager.load_visualizer(visualizers)

    dataset = DummyDataset()
    epoch_time = 1
    check_point_interval = 500
    manager.train_model(dataset, epoch_time, check_point_interval)
예제 #5
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        visualizer_1 = DummyVisualizer_1
        visualizer_2 = DummyVisualizer_2

        visualizers = [visualizer_1, visualizer_2]
        manager.load_visualizer(visualizers)

        dataset = DummyDataset()
        epoch_time = 10
        check_point_interval = 2
        manager.train_instance(dataset, epoch_time, check_point_interval)


if __name__ == '__main__':
    path = ROOT_PATH
    manager = InstanceManager(path)

    model = DummyModel
    input_shape = (32, 32, 3)
    manager.build_instance(model)

    visualizers = [
        (dummy_log, 10),
    ]
    manager.load_visualizer(visualizers)

    dataset = DummyDataset()
    epoch_time = 1
    check_point_interval = 500
    manager.train_instance(dataset, epoch_time, check_point_interval)