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 save your events files into your W&B run directory. For instance:
classifier = tf.estimator.DNNClassifier(model_dir=wandb.run.dir)
writer = tf.summary.FileWriter(wandb.run.dir, graph)
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!