visdom 可视化使用

1、安装与更新

pip install  visdom
pip install --upgrade visdom

2、起服务

python -m visdom.server

3、使用

    viz = visdom.Visdom()
    for epoch in range(1000):
        for batchidx, (x, _) in enumerate(mnist_train):
            # [b, 1, 28, 28]
            x = x.to(device)
            x_hat, kld = model(x)
            loss = criteon(x_hat, x)
            if kld is not None:
                elbo = - loss - 1.0 * kld
                loss = - elbo
            # backprop
            optimizer.zero_grad()
            loss.backward()
            optimizer.step()
        print(epoch, 'loss:', loss.item(), 'kld:', kld.item())
        x, _ = iter(mnist_test).next()
        x = x.to(device)
        with torch.no_grad():
            x_hat, kld = model(x)
        viz.images(x, nrow=8, win='x', opts=dict(title='x'))
        viz.images(x_hat, nrow=8, win='x_hat', opts=dict(title='x_hat'))