utils.py 文件源码

def visualize_reconstruction(xp, model, x, visualization_dir, epoch, gpu=False):
    x_variable = chainer.Variable(xp.asarray(x))
    _x = model.decode(model.encode(x_variable), test=True)
    _x.to_cpu()
    _x = _x.data

    fig = pylab.gcf()
    fig.set_size_inches(8.0, 8.0)
    pylab.clf()
    pylab.gray()
    for m in range(50):
        i = m / 10
        j = m % 10
        pylab.subplot(10, 10, 20 * i + j + 1, xticks=[], yticks=[])
        pylab.imshow(x[m].reshape((28, 28)), interpolation="none")
        pylab.subplot(10, 10, 20 * i + j + 10 + 1, xticks=[], yticks=[])
        pylab.imshow(_x[m].reshape((28, 28)), interpolation="none")
        # pylab.imshow(np.clip((_x_batch.data[m] + 1.0) / 2.0, 0.0, 1.0).reshape(
        # (config.img_channel, config.img_width, config.img_width)), interpolation="none")
        pylab.axis("off")
    pylab.savefig("{}/reconstruction_{}.png".format(visualization_dir, epoch))
    # pylab.show()