test_keras2_numeric.py 文件源码

def test_tiny_conv_upsample_1d_random(self):
        np.random.seed(1988)
        input_dim = 2
        input_length = 10
        filter_length = 3
        nb_filters = 4
        model = Sequential()
        model.add(Conv1D(nb_filters, kernel_size = filter_length, padding='same',
            input_shape=(input_length, input_dim)))
        model.add(UpSampling1D(size = 2))

        # 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)