Visdom-pytorch-loss function and train

    技术2022-07-11  86

    from visdom import Visdom line = viz.line(np.arange(10)) text = viz.text("<h1>convolution Nueral Network</h1>") time_p, tr_acc, ts_acc, loss_p = [], [], [], [] time_p.append(epoch) tr_acc.append(train_acc) # ts_acc.append(acc) loss_p.append(train_loss) viz.line(X=np.column_stack((np.array(time_p), np.array(time_p))), Y=np.column_stack((np.array(loss_p), np.array(tr_acc))), win=line, opts=dict(legend=["Loss", "TRAIN_acc"])) # visdom text 支持html语句 viz.text("<p style='color:red'>epoch:{}</p><br><p style='color:blue'>Loss:{:.4f}</p><br>".format(epoch, train_loss),win=text)

    运行前先打开环境终端 输入 python -m visdom.server 复制链接与Google

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