[FEA] `cuvs-bench` to read numpy (`npy`) files
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benchmarking
feature request
- Dominant language
- Cuda
- Stars
- 854
- Forks
- 236
- Avg merge
- 3d 3h
- Merged PRs (30d)
- 62
Description
Our serialization tools from RAFT are able to read and write numpy files and it's really trivial to write numpy ndarray tensors to files on disk. If we can automatically read numpy files in the benchmarks tool (defined by npy extension) then it will make the tool much more straightforward to use with various datasets, rather than having to prep them especially for the tool itself.
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 the cuvs-bench entry point and the existing RAFT serialization tools that read and write NumPy files. Trace how benchmark datasets are currently loaded, then verify that inputs identified by the .npy extension are accepted and usable by the benchmark tool.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- numpy
- Domain
- tooling
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100