net.py 文件源码

def _maxpool(self, x, kernel_size):
        p = np.floor((kernel_size - 1) / 2).astype(np.int32)
        p_x = tf.pad(x, [[0, 0], [p, p], [p, p], [0, 0]])
        return slim.max_pool2d(p_x, kernel_size)