We love using Tensorboard to analyze our runs and visualize our model structure. But when it's running locally, it can be hard to preserve that information or share it across the team. To make this easier, we're now hosting Tensorboard for all runs instrumented with W&B.
To use hosted Tensorboard, just add sync_tensorboard=True when you call wandb.init. For example:
As you run your training script, your events and graph will be streamed to W&B, and a new "Tensorboard" tab will appear in your run page:
And that's it! You now have access to Tensorboard for all your runs, in perpetuity, without any additional setup or configuration.
You can see my example run at this link. Let us know how you use this feature and if you have any ideas for how to make it better!
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We're building lightweight, flexible experiment tracking tools for deep learning. Add a couple of lines to your python script, and we'll keep track of your hyperparameters and output metrics, making it easy to compare runs and see the whole history of your progress. Think of us like GitHub for deep learning.
We are building our library of deep learning articles, and we're delighted to feature the work of community members. Contact Lavanya to learn about opportunities to share your research and insights.