lincc-frameworks / lincc-frameworks/hyrax
Write a perf test for training
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- Dominant language
- Python
- Stars
- 41
- Forks
- 7
- Avg merge
- 5d 1h
- Merged PRs (30d)
- 8
Description
Probably using CIFAR10 dataset and example CNN, but we could also use HSC data if we can put some small portion of the dataset online.
Contributor guide
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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 locating the training example, CNN setup, and any existing performance-test entry points. Determine whether a small CIFAR10 sample can provide a reproducible benchmark, or whether a small HSC subset can be hosted. Done means the training performance test runs reproducibly against an agreed dataset and records its benchmark result.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning, performance, testing-qa
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100