test_keras.py 文件源码

def test_permute(self):
        """
        Test the conversion of pooling layer.
        """
        from keras.layers.core import Permute
        # Create a simple Keras model
        model = Sequential()
        model.add(Permute((3, 2, 1), input_shape=(10, 64,3)))

        input_names = ['input']
        output_names = ['output']
        spec = keras.convert(model, input_names, output_names).get_spec()
        self.assertIsNotNone(spec)

        # Test the model class
        self.assertIsNotNone(spec.description)
        self.assertTrue(spec.HasField('neuralNetwork'))

        # Test the inputs and outputs
        self.assertEquals(len(spec.description.input), len(input_names))
        self.assertItemsEqual(input_names,
               map(lambda x: x.name, spec.description.input))
        self.assertEquals(len(spec.description.output), len(output_names))
        self.assertItemsEqual(output_names,
               map(lambda x: x.name, spec.description.output))

        # Test the layer parameters.
        layers = spec.neuralNetwork.layers
        layer_0 = layers[0]
        self.assertIsNotNone(layer_0.permute)