test_convolutional.py 文件源码

def test_maxpooling_1d(self):
        nb_samples = 9
        nb_steps = 7
        input_dim = 10

        input = np.ones((nb_samples, nb_steps, input_dim))
        for ignore_border in [True, False]:
            for stride in [1, 2]:
                layer = convolutional.MaxPooling1D(stride=stride, ignore_border=ignore_border)
                layer.input = theano.shared(value=input)
                for train in [True, False]:
                    layer.get_output(train).eval()

                config = layer.get_config()