TensorBoard integration
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- Dominant language
- Python
- Stars
- 2.1k
- Forks
- 385
- PR merge metrics
- No merged PRs in 30d
Description
Pytorch v1.1 (which we now use) comes with an official TensorBoard integration.
We should remove our custom logging and chart plotting and move to TensorBoard.
- https://pytorch.org/docs/stable/tensorboard.html
- https://github.com/pytorch/pytorch/releases/tag/v1.1.0
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
Read the linked PyTorch v1.1 TensorBoard documentation and release notes first. Then locate the project's custom logging and chart-plotting entry points, and compare their current outputs with the official integration. Done means the custom implementation is replaced by TensorBoard integration and the old logging and plotting paths are removed.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Refactor
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100