writer.add_embedding(torch.randn(100, 5), label_img=label_img) writer.add_embedding(torch.randn(100, 5), metadata=meta) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. add_pr_curve(tag, labels, predictions, global_step=None, num_thresholds=127, weights=N...
- `writer.add_embedding(tag, embeddings, step)`:添加嵌入数据。 - `writer.add_prcurve(tag, values, step)`:添加损失曲线数据。 - `writer.add_video(tag, video, step)`:添加视频数据。 4.启动TensorBoard: 在完成训练后,通过以下命令启动TensorBoard,以查看可视化结果: ```bash tensorboard --logdir="...
tensorboard可以对很多数据等进行可视化,比如Scalar(s)/ image(s)/ histogram/ figure/ video/ audio/ text/ graph/ PR/ mash等等。 1. 模块导入 fromtorch.utils.tensorboardimportSummaryWriter#default `log_dir` is "runs" - we'll be more specific herewriter = SummaryWriter('runs/fashion_mnist_experime...
writer.add_text('Text','text logged at step:'+ str(n_iter), n_iter) forname, paraminresnet18.named_parameters():writer.add_histogram(name, param.clone().cpu().data.numpy(), n_iter) # needs tensorboard 0.4RC or laterwriter.add_pr_cu...
Visualizing a graph and plot metrics about its execution does not happen automatically in TensorBoard. After you add a number of functions to your source code, TensorFlow will write events related to the execution of your graph to a special folder. To get started with TensorBoard, you also need...
writer.add_scalar('loss/loss3', loss3, epoch)的格式，这样3个loss就会被显⽰在同⼀个section。2.同时显⽰多个折线图 假如使⽤了两种学习率去训练同⼀个⽹络，想要⽐较它们训练过程中的loss曲线，只需要将两个⽇志⽂件夹放到同⼀⽬录下，并在命令⾏运⾏ tensorboard --logdir=./path...