microsoft / microsoft/vscode-tensorboard
Allow to pass extra arguments to tensorboard
Nobody has claimed this yet.
- Dominant language
- TypeScript
- Stars
- 7
- Forks
- 9
- Avg merge
- 1d 2h
- Merged PRs (30d)
- 1
Description
Type: Feature Request
Every time I want to see the high resolution graph, I need to manually change tensorboard_launcher.py and add
tb.configure(bind_all=False, logdir=logdir, samples_per_plugin=dict(scalars=99999999), port=get_random_free_port())
to it. Can you make it configurable?
Extension version: 2023.10.1002992421
VS Code version: Code 1.85.1 (0ee08df0cf4527e40edc9aa28f4b5bd38bbff2b2, 2023-12-13T09:48:16.874Z)
OS version: Darwin arm64 23.0.0
Modes:
Connection to 'ssh-remote+dsw-h800' could not be established
Remote OS version: Linux x64 5.10.134-13.al8.x86_64
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 with tensorboard_launcher.py and trace how the VS Code extension launches TensorBoard and exposes configuration. Determine where extra TensorBoard arguments could be passed, then verify that the requested samples_per_plugin and related options no longer require editing the launcher.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, typescript
- Domain
- devtools, machine-learning
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100