tensorflow / tensorflow/tensorboard
[feature-request] interactively add runs without stopping tensorboard
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Description
We are using tensorboard all the time to monitor our training sessions and to compare between our models.
Since it takes a lot of time to load and read large events files, it would be very helpful to be able to interactively load and remove runs.
Currently the only we know is to terminate tensorboard and run it again with new "--logdir" argument.
Loading all the runs in advance is not an option since:
- We have large (~20GB) events files and many runs
- Sometimes we want to add a new run that was not created when tensorboard started
Thank you.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reproducing the current workflow of stopping TensorBoard and restarting it with a different --logdir, then inspect how runs are loaded and displayed. Done means users can interactively add and remove runs, including runs created after startup, without restarting TensorBoard or loading every large events file in advance.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- typescript
- Domain
- frontend
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100