test_keras2_numeric.py 文件源码

def test_tiny_mul_random(self):
        np.random.seed(1988)
        input_dim = 10
        num_channels = 6

        # Define a model
        input_tensor = Input(shape = (input_dim, ))
        x1 = Dense(num_channels)(input_tensor)
        x2 = Dense(num_channels)(x1)
        x3 = Dense(num_channels)(x1)
        x4 = multiply([x2, x3])
        x5 = Dense(num_channels)(x4)

        model = Model(inputs=[input_tensor], outputs=[x5])

        # Set some random weights
        model.set_weights([np.random.rand(*w.shape) for w in model.get_weights()])

        # Get the coreml model
        self._test_keras_model(model)