lance-format/lance

GPU-enabled index training

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#1,080 opened on Jul 20, 2023

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A-pythonPyTorchgood first issue

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Description

Currently the index training time is dominated by kmeans training, which can be sped up significantly via hardware acceleration.

Recently we added an API to take externally trained IVF centroids. So we could have an optional feature where the centroids are trained using pytorch or rapids then set the centroids explicitly.

Examples:

https://github.com/lancedb/lance/blob/main/python/python/lance/dataset.py#L481

Contributor guide

Research direction
Explore integration of PyTorch or RAPIDS for GPU accelerated kmeans training and leverage the externally trained centroids API in Lance.
Tech stack
rustpythonpytorch
Domain
backendmachine learningai
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-2 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
PythonRustGPU
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
30