test_keras2_numeric.py 文件源码

def test_tiny_conv1d_dilated_random(self):
        np.random.seed(1988)
        input_shape = (20, 1)
        num_kernels = 2
        filter_length = 3

        # Define a model
        model = Sequential()
        model.add(Conv1D(num_kernels, kernel_size = filter_length, padding = 'valid',
            input_shape = input_shape, dilation_rate = 3))

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

        # Test the keras model
        self._test_keras_model(model)