[FEA] KMeans - int64_t Extents for Host (Streaming) Fit Function
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feature request
- Dominant language
- Cuda
- Stars
- 854
- Forks
- 236
- Avg merge
- 3d 3h
- Merged PRs (30d)
- 62
Description
#1886 adds the streaming batched host fit API for kmeans. This issue is to track updating the APIs to use int64_t extents to accommodate much larger input matrices.
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 from the streaming batched host fit API introduced by #1886 and inspect its extent types and related API call sites. The work is done when those APIs use int64_t extents for larger input matrices and the relevant project checks pass.
Written by the indexing model from the issue text.
Assessment
- Domain
- api, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100