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v0.8.4: ANN training and querying performance improvements

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@wjones127 wjones127 released this 11 Oct 22:24
· 4454 commits to main since this release

What's Changed

  • chore: improve kmean training performance on CUDA by @eddyxu in #1368
  • chore: improve kmean performance on MPS by @eddyxu in #1370
  • chore: use torch.index_add to compute new centroids, to improve training performance on MPS by @eddyxu in #1371
  • feat: schema::field_by_id() by @eddyxu in #1375
  • feat(python): design an image extension type by @rok in #1272
  • perf: improve KNN and ANN performance by @wjones127 in #1367
  • feat: collect int/float/boolean/date page-level statistics on write by @rok in #1346
  • chore: part 1/N of refactoring vector index into separate crate by @eddyxu in #1388
  • fix: handle larger arrays in take by @wjones127 in #1383
  • chore: cleanup tests to avoid errors when optional components are not present by @westonpace in #1374

Full Changelog: v0.8.3...v0.8.4