Good first issue: run the PyTorch benchmark on your machine (under an hour)
Nobody has claimed this yet.
Assessment
- Difficulty
- 1/5
- Estimated time
- Under an hour
- Newbie friendliness
- 82/100
- Issue type
- Feature
- Clarity
- Clearly specified
- Activity status
- Active
- Tech stack
- numpy, python
- Domain
- performance
Research direction
Start with scripts/benchmark_pytorch.py and the starter-task note in CONTRIBUTING.md. Run the script on your own machine, then copy the JSON output into a comment on this issue with your CPU model and thread count noted. It is done when your results are posted in that format.
Written by the indexing model from the issue text.
Description
Run scripts/benchmark_pytorch.py and file the resulting JSON here with your CPU and thread counts noted. The published table is one machine; more machines make it a measurement instead of an anecdote. This is a starter task from CONTRIBUTING.md.
- Dominant language
- Python
- Stars
- 0
- Forks
- 1
- Avg merge
- 1d 2h
- Merged PRs (30d)
- 1
Getting set up
- No Dockerfile or Docker Compose file
- Has a pull request template
- Read the contributing 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.
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