v23.06.02

🚨 Breaking Changes

• ivf-pq::search: fix the indexing type of the query-related mdspan arguments (#1539) @achirkin
• Dropping Python 3.8 (#1454) @divyegala

🐛 Bug Fixes

• PR to trigger rebuild of raft (#1622) @raydouglass
• Assigning Deterministic rank to Dask Workers Based on CUDA_VISIBLE_DEVICES (branch-23.06) (#1587) @VibhuJawa
• [HOTFIX] Fix distance metrics L2/cosine/correlation when X & Y are same buffer but with different shape and add unit test for such case. (#1571) @mdoijade
• Using raft::resources in rsvd (#1543) @cjnolet
• ivf-pq::search: fix the indexing type of the query-related mdspan arguments (#1539) @achirkin
• Check python brute-force knn inputs (#1537) @benfred
• Fix failing TiledKNNTest unittest (#1533) @benfred
• ivf-flat: fix incorrect recomputed size of the index (#1525) @achirkin
• ivf-flat: limit the workspace size of the search via batching (#1515) @achirkin
• Support uint64_t in CAGRA index data type (#1514) @enp1s0
• Workaround for cuda 12 issue in cusparse (#1508) @cjnolet
• Un-scale output distances (#1499) @achirkin
• Inline get_cache_idx (#1492) @ahendriksen
• Pin to scikit-build<17.2 (#1487) @vyasr
• Remove pool_size() calls from debug printouts (#1484) @tfeher
• Add missing ext declaration for log detail::format (#1482) @tfeher
• Remove include statements from inside namespace (#1467) @robertmaynard
• Use pin_compatible to ensure that lower CTKs can be used (#1462) @vyasr
• fix ivf_pq n_probes (#1456) @benfred
• The glog project root CMakeLists.txt is where we should build from (#1442) @robertmaynard
• Add missing resource factory virtual destructor (#1433) @cjnolet
• Removing cuda stream view include from mdarray (#1429) @cjnolet
• Fix dim param for IVF-PQ wrapper in ANN bench (#1427) @tfeher
• Remove MetricProcessor code from brute_force::knn (#1426) @benfred
• Fix is_min_close (#1419) @benfred
• Have consistent compile lines between BUILD_TESTS enabled or not (#1401) @robertmaynard
• Fix ucx-py pin in raft-dask recipe (#1396) @vyasr

📖 Documentation

• Various updates to the docs for 23.06 release (#1538) @cjnolet
• Rename kernel arch finding function for dispatch (#1536) @mdoijade
• Adding bfknn and ivf-pq python api to docs (#1507) @cjnolet
• Add RAPIDS cuDF as a library that supports cuda_array_interface (#1444) @miguelusque

🚀 New Features

• IVF-PQ: manipulating individual lists (#1298) @achirkin
• Gram matrix support for sparse input (#1296) @mfoerste4
• [FEA] Add randomized svd from cusolver (#1000) @lowener

🛠️ Improvements

• Require Numba 0.57.0+ (#1559) @jakirkham
• remove device_resources include from linalg::map (#1540) @benfred
• Learn heuristic to pick fastest select_k algorithm (#1523) @benfred
• [REVIEW] make raft::cache::Cache protected to allow overrides (#1522) @mfoerste4
• [REVIEW] Fix padding assertion in sparse Gram evaluation (#1521) @mfoerste4
• run docs nightly too (#1520) @AyodeAwe
• Switch back to using primary shared-action-workflows branch (#1519) @vyasr
• Python API for IVF-Flat serialization (#1516) @tfeher
• Introduce sample filtering to IVFPQ index search (#1513) @alexanderguzhva
• Migrate from raft::device_resources -> raft::resources (#1510) @benfred
• Use rmm allocator in CAGRA prune (#1503) @enp1s0
• Update recipes to GTest version >=1.13.0 (#1501) @bdice
• Remove raft/matrix/matrix.cuh includes (#1498) @benfred
• Generate dataset of select_k times (#1497) @benfred
• Re-use memory pool between benchmark runs (#1495) @benfred
• Support CUDA 12.0 for pip wheels (#1489) @divyegala
• Update cupy dependency (#1488) @vyasr
• Enable sccache hits from local builds (#1478) @AyodeAwe
• Build wheels using new single image workflow (#1477) @vyasr
• Revert shared-action-workflows pin (#1475) @divyegala
• CAGRA: Separate graph index sorting functionality from prune function (#1471) @enp1s0
• Add generic reduction functions and separate reductions/warp_primitives (#1470) @akifcorduk
• [ENH] [FINAL] Header structure: combine all PRs into one (#1469) @ahendriksen
• use matrix::select_k in brute_force::knn call (#1463) @benfred
• Dropping Python 3.8 (#1454) @divyegala
• Fix linalg::map to work with non-power-of-2-sized types again (#1453) @ahendriksen
• [ENH] Enable building with clang (limit strict error checking to GCC) (#1452) @ahendriksen
• Remove usage of rapids-get-rapids-version-from-git (#1436) @jjacobelli
• Minor Updates to Sparse Structures (#1432) @divyegala
• Use nvtx3 includes. (#1431) @bdice
• Remove wheel pytest verbosity (#1424) @sevagh
• Add python bindings for matrix::select_k (#1422) @benfred
• Using raft::resources across raft::random (#1420) @cjnolet
• Generate build metrics report for test and benchmarks (#1414) @divyegala
• Update clang-format to 16.0.1. (#1412) @bdice
• Use ARC V2 self-hosted runners for GPU jobs (#1410) @jjacobelli
• Remove uses-setup-env-vars (#1406) @vyasr
• Resolve conflicts in auto-merger of branch-23.06 and branch-23.04 (#1403) @galipremsagar
• Adding base header-only conda package without cuda math libs (#1386) @cjnolet
• Fix IVF-PQ API to use device_vector_view (#1384) @lowener
• Branch 23.06 merge 23.04 (#1379) @vyasr
• Forward merge branch 23.04 into 23.06 (#1350) @cjnolet
• Fused L2 1-NN based on cutlass 3xTF32 / DMMA (#1118) @mdoijade

v23.06.01

🚨 Breaking Changes

• ivf-pq::search: fix the indexing type of the query-related mdspan arguments (#1539) @achirkin
• Dropping Python 3.8 (#1454) @divyegala

🐛 Bug Fixes

• Assigning Deterministic rank to Dask Workers Based on CUDA_VISIBLE_DEVICES (branch-23.06) (#1587) @VibhuJawa
• [HOTFIX] Fix distance metrics L2/cosine/correlation when X & Y are same buffer but with different shape and add unit test for such case. (#1571) @mdoijade
• Using raft::resources in rsvd (#1543) @cjnolet
• ivf-pq::search: fix the indexing type of the query-related mdspan arguments (#1539) @achirkin
• Check python brute-force knn inputs (#1537) @benfred
• Fix failing TiledKNNTest unittest (#1533) @benfred
• ivf-flat: fix incorrect recomputed size of the index (#1525) @achirkin
• ivf-flat: limit the workspace size of the search via batching (#1515) @achirkin
• Support uint64_t in CAGRA index data type (#1514) @enp1s0
• Workaround for cuda 12 issue in cusparse (#1508) @cjnolet
• Un-scale output distances (#1499) @achirkin
• Inline get_cache_idx (#1492) @ahendriksen
• Pin to scikit-build<17.2 (#1487) @vyasr
• Remove pool_size() calls from debug printouts (#1484) @tfeher
• Add missing ext declaration for log detail::format (#1482) @tfeher
• Remove include statements from inside namespace (#1467) @robertmaynard
• Use pin_compatible to ensure that lower CTKs can be used (#1462) @vyasr
• fix ivf_pq n_probes (#1456) @benfred
• The glog project root CMakeLists.txt is where we should build from (#1442) @robertmaynard
• Add missing resource factory virtual destructor (#1433) @cjnolet
• Removing cuda stream view include from mdarray (#1429) @cjnolet
• Fix dim param for IVF-PQ wrapper in ANN bench (#1427) @tfeher
• Remove MetricProcessor code from brute_force::knn (#1426) @benfred
• Fix is_min_close (#1419) @benfred
• Have consistent compile lines between BUILD_TESTS enabled or not (#1401) @robertmaynard
• Fix ucx-py pin in raft-dask recipe (#1396) @vyasr

📖 Documentation

• Various updates to the docs for 23.06 release (#1538) @cjnolet
• Rename kernel arch finding function for dispatch (#1536) @mdoijade
• Adding bfknn and ivf-pq python api to docs (#1507) @cjnolet
• Add RAPIDS cuDF as a library that supports cuda_array_interface (#1444) @miguelusque

🚀 New Features

• IVF-PQ: manipulating individual lists (#1298) @achirkin
• Gram matrix support for sparse input (#1296) @mfoerste4
• [FEA] Add randomized svd from cusolver (#1000) @lowener

🛠️ Improvements

• Require Numba 0.57.0+ (#1559) @jakirkham
• remove device_resources include from linalg::map (#1540) @benfred
• Learn heuristic to pick fastest select_k algorithm (#1523) @benfred
• [REVIEW] make raft::cache::Cache protected to allow overrides (#1522) @mfoerste4
• [REVIEW] Fix padding assertion in sparse Gram evaluation (#1521) @mfoerste4
• run docs nightly too (#1520) @AyodeAwe
• Switch back to using primary shared-action-workflows branch (#1519) @vyasr
• Python API for IVF-Flat serialization (#1516) @tfeher
• Introduce sample filtering to IVFPQ index search (#1513) @alexanderguzhva
• Migrate from raft::device_resources -> raft::resources (#1510) @benfred
• Use rmm allocator in CAGRA prune (#1503) @enp1s0
• Update recipes to GTest version >=1.13.0 (#1501) @bdice
• Remove raft/matrix/matrix.cuh includes (#1498) @benfred
• Generate dataset of select_k times (#1497) @benfred
• Re-use memory pool between benchmark runs (#1495) @benfred
• Support CUDA 12.0 for pip wheels (#1489) @divyegala
• Update cupy dependency (#1488) @vyasr
• Enable sccache hits from local builds (#1478) @AyodeAwe
• Build wheels using new single image workflow (#1477) @vyasr
• Revert shared-action-workflows pin (#1475) @divyegala
• CAGRA: Separate graph index sorting functionality from prune function (#1471) @enp1s0
• Add generic reduction functions and separate reductions/warp_primitives (#1470) @akifcorduk
• [ENH] [FINAL] Header structure: combine all PRs into one (#1469) @ahendriksen
• use matrix::select_k in brute_force::knn call (#1463) @benfred
• Dropping Python 3.8 (#1454) @divyegala
• Fix linalg::map to work with non-power-of-2-sized types again (#1453) @ahendriksen
• [ENH] Enable building with clang (limit strict error checking to GCC) (#1452) @ahendriksen
• Remove usage of rapids-get-rapids-version-from-git (#1436) @jjacobelli
• Minor Updates to Sparse Structures (#1432) @divyegala
• Use nvtx3 includes. (#1431) @bdice
• Remove wheel pytest verbosity (#1424) @sevagh
• Add python bindings for matrix::select_k (#1422) @benfred
• Using raft::resources across raft::random (#1420) @cjnolet
• Generate build metrics report for test and benchmarks (#1414) @divyegala
• Update clang-format to 16.0.1. (#1412) @bdice
• Use ARC V2 self-hosted runners for GPU jobs (#1410) @jjacobelli
• Remove uses-setup-env-vars (#1406) @vyasr
• Resolve conflicts in auto-merger of branch-23.06 and branch-23.04 (#1403) @galipremsagar
• Adding base header-only conda package without cuda math libs (#1386) @cjnolet
• Fix IVF-PQ API to use device_vector_view (#1384) @lowener
• Branch 23.06 merge 23.04 (#1379) @vyasr
• Forward merge branch 23.04 into 23.06 (#1350) @cjnolet
• Fused L2 1-NN based on cutlass 3xTF32 / DMMA (#1118) @mdoijade

v23.06.00

🚨 Breaking Changes

• ivf-pq::search: fix the indexing type of the query-related mdspan arguments (#1539) @achirkin
• Dropping Python 3.8 (#1454) @divyegala

🐛 Bug Fixes

• [HOTFIX] Fix distance metrics L2/cosine/correlation when X & Y are same buffer but with different shape and add unit test for such case. (#1571) @mdoijade
• Using raft::resources in rsvd (#1543) @cjnolet
• ivf-pq::search: fix the indexing type of the query-related mdspan arguments (#1539) @achirkin
• Check python brute-force knn inputs (#1537) @benfred
• Fix failing TiledKNNTest unittest (#1533) @benfred
• ivf-flat: fix incorrect recomputed size of the index (#1525) @achirkin
• ivf-flat: limit the workspace size of the search via batching (#1515) @achirkin
• Support uint64_t in CAGRA index data type (#1514) @enp1s0
• Workaround for cuda 12 issue in cusparse (#1508) @cjnolet
• Un-scale output distances (#1499) @achirkin
• Inline get_cache_idx (#1492) @ahendriksen
• Pin to scikit-build<17.2 (#1487) @vyasr
• Remove pool_size() calls from debug printouts (#1484) @tfeher
• Add missing ext declaration for log detail::format (#1482) @tfeher
• Remove include statements from inside namespace (#1467) @robertmaynard
• Use pin_compatible to ensure that lower CTKs can be used (#1462) @vyasr
• fix ivf_pq n_probes (#1456) @benfred
• The glog project root CMakeLists.txt is where we should build from (#1442) @robertmaynard
• Add missing resource factory virtual destructor (#1433) @cjnolet
• Removing cuda stream view include from mdarray (#1429) @cjnolet
• Fix dim param for IVF-PQ wrapper in ANN bench (#1427) @tfeher
• Remove MetricProcessor code from brute_force::knn (#1426) @benfred
• Fix is_min_close (#1419) @benfred
• Have consistent compile lines between BUILD_TESTS enabled or not (#1401) @robertmaynard
• Fix ucx-py pin in raft-dask recipe (#1396) @vyasr

📖 Documentation

• Various updates to the docs for 23.06 release (#1538) @cjnolet
• Rename kernel arch finding function for dispatch (#1536) @mdoijade
• Adding bfknn and ivf-pq python api to docs (#1507) @cjnolet
• Add RAPIDS cuDF as a library that supports cuda_array_interface (#1444) @miguelusque

🚀 New Features

• IVF-PQ: manipulating individual lists (#1298) @achirkin
• Gram matrix support for sparse input (#1296) @mfoerste4
• [FEA] Add randomized svd from cusolver (#1000) @lowener

🛠️ Improvements

• Require Numba 0.57.0+ (#1559) @jakirkham
• remove device_resources include from linalg::map (#1540) @benfred
• Learn heuristic to pick fastest select_k algorithm (#1523) @benfred
• [REVIEW] make raft::cache::Cache protected to allow overrides (#1522) @mfoerste4
• [REVIEW] Fix padding assertion in sparse Gram evaluation (#1521) @mfoerste4
• run docs nightly too (#1520) @AyodeAwe
• Switch back to using primary shared-action-workflows branch (#1519) @vyasr
• Python API for IVF-Flat serialization (#1516) @tfeher
• Introduce sample filtering to IVFPQ index search (#1513) @alexanderguzhva
• Migrate from raft::device_resources -> raft::resources (#1510) @benfred
• Use rmm allocator in CAGRA prune (#1503) @enp1s0
• Update recipes to GTest version >=1.13.0 (#1501) @bdice
• Remove raft/matrix/matrix.cuh includes (#1498) @benfred
• Generate dataset of select_k times (#1497) @benfred
• Re-use memory pool between benchmark runs (#1495) @benfred
• Support CUDA 12.0 for pip wheels (#1489) @divyegala
• Update cupy dependency (#1488) @vyasr
• Enable sccache hits from local builds (#1478) @AyodeAwe
• Build wheels using new single image workflow (#1477) @vyasr
• Revert shared-action-workflows pin (#1475) @divyegala
• CAGRA: Separate graph index sorting functionality from prune function (#1471) @enp1s0
• Add generic reduction functions and separate reductions/warp_primitives (#1470) @akifcorduk
• [ENH] [FINAL] Header structure: combine all PRs into one (#1469) @ahendriksen
• use matrix::select_k in brute_force::knn call (#1463) @benfred
• Dropping Python 3.8 (#1454) @divyegala
• Fix linalg::map to work with non-power-of-2-sized types again (#1453) @ahendriksen
• [ENH] Enable building with clang (limit strict error checking to GCC) (#1452) @ahendriksen
• Remove usage of rapids-get-rapids-version-from-git (#1436) @jjacobelli
• Minor Updates to Sparse Structures (#1432) @divyegala
• Use nvtx3 includes. (#1431) @bdice
• Remove wheel pytest verbosity (#1424) @sevagh
• Add python bindings for matrix::select_k (#1422) @benfred
• Using raft::resources across raft::random (#1420) @cjnolet
• Generate build metrics report for test and benchmarks (#1414) @divyegala
• Update clang-format to 16.0.1. (#1412) @bdice
• Use ARC V2 self-hosted runners for GPU jobs (#1410) @jjacobelli
• Remove uses-setup-env-vars (#1406) @vyasr
• Resolve conflicts in auto-merger of branch-23.06 and branch-23.04 (#1403) @galipremsagar
• Adding base header-only conda package without cuda math libs (#1386) @cjnolet
• Fix IVF-PQ API to use device_vector_view (#1384) @lowener
• Branch 23.06 merge 23.04 (#1379) @vyasr
• Forward merge branch 23.04 into 23.06 (#1350) @cjnolet
• Fused L2 1-NN based on cutlass 3xTF32 / DMMA (#1118) @mdoijade

v23.04.00

🚨 Breaking Changes

• Pin dask and distributed for release (#1399) @galipremsagar
• Remove faiss_mr.hpp (#1351) @benfred
• Removing FAISS from build (#1340) @cjnolet
• Generic linalg::map (#1337) @achirkin
• Consolidate pre-compiled specializations into single libraft binary (#1333) @cjnolet
• Generic linalg::map (#1329) @achirkin
• Update and standardize IVF indexes API (#1328) @viclafargue
• IVF-Flat index splitting (#1271) @lowener
• IVF-PQ: store cluster data in individual lists and reduce templates (#1249) @achirkin
• Fix for svd API (#1190) @lowener
• Remove deprecated headers (#1145) @lowener

🐛 Bug Fixes

• Fix primitives benchmarks (#1389) @ahendriksen
• Fixing index-url link on pip install docs (#1378) @cjnolet
• Adding some functions back in that seem to be a copy/paste error (#1373) @cjnolet
• Remove usage of Dask's get_worker (#1365) @pentschev
• Remove MANIFEST.in use auto-generated one for sdists and package_data for wheels (#1348) @vyasr
• Revert "Generic linalg::map (#1329)" (#1336) @cjnolet
• Small follow-up to specializations cleanup (#1332) @cjnolet
• Fixing select_k specializations (#1330) @cjnolet
• Fixing remaining bug in ann_quantized (#1327) @cjnolet
• Fixign a couple small kmeans bugs (#1274) @cjnolet
• Remove no longer instantiated templates from list of extern template declarations (#1272) @vyasr
• Bump pinned deps to 23.4 (#1266) @vyasr
• Fix the destruction of interruptible token registry (#1229) @achirkin
• Expose raft::handle_t in the public header (#1192) @vyasr
• Fix for svd API (#1190) @lowener

📖 Documentation

• Adding architecture diagram to README.md (#1370) @cjnolet
• Adding small readme image (#1354) @cjnolet
• Fix serialize documentation of ivf_flat (#1347) @lowener
• Small updates to docs (#1339) @cjnolet

🚀 New Features

• Add Options to Generate Build Metrics Report (#1369) @divyegala
• Generic linalg::map (#1337) @achirkin
• Generic linalg::map (#1329) @achirkin
• matrix::select_k specializations (#1268) @achirkin
• Use rapids-cmake new COMPONENT exporting feature (#1154) @robertmaynard

🛠️ Improvements

• Pin dask and distributed for release (#1399) @galipremsagar
• Pin cupy in wheel tests to supported versions (#1383) @vyasr
• CAGRA (#1375) @tfeher
• add a distance epilogue function to the bfknn call (#1371) @benfred
• Relax UCX pin to allow 1.14 (#1366) @pentschev
• Generate pyproject dependencies with dfg (#1364) @vyasr
• Add nccl to dependencies.yaml (#1361) @benfred
• Add extern template for ivfflat_interleaved_scan (#1360) @ahendriksen
• Stop setting package version attribute in wheels (#1359) @vyasr
• Fix ivf flat specialization header IdxT from uint64_t -> int64_t (#1358) @ahendriksen
• Remove faiss_mr.hpp (#1351) @benfred
• Rename optional helper function (#1345) @viclafargue
• Pass minimum target compile options through raft::raft (#1341) @cjnolet
• Removing FAISS from build (#1340) @cjnolet
• Add dispatch based on compute architecture (#1335) @ahendriksen
• Consolidate pre-compiled specializations into single libraft binary (#1333) @cjnolet
• Update and standardize IVF indexes API (#1328) @viclafargue
• Using int64_t specializations for ivf_pq and refine (#1325) @cjnolet
• Migrate as much as possible to pyproject.toml (#1324) @vyasr
• Pass AWS_SESSION_TOKEN and SCCACHE_S3_USE_SSL vars to conda build (#1321) @ajschmidt8
• Numerical stability fixes for l2 pairwise distance (#1319) @benfred
• Consolidate linter configuration into pyproject.toml (#1317) @vyasr
• IVF-Flat Python wrappers (#1316) @tfeher
• Add stream overloads to ivf_pq serialize/deserialize methods (#1315) @divyegala
• Temporary buffer to view host or device memory in device (#1313) @divyegala
• RAFT skeleton project template (#1312) @cjnolet
• Fix docs build to be pydata-sphinx-theme=0.13.0 compatible (#1311) @galipremsagar
• Update to GCC 11 (#1309) @bdice
• Reduce compile times of distance specializations (#1307) @ahendriksen
• Fix docs upload path (#1305) @AyodeAwe
• Add end-to-end CUDA ann-benchmarks to raft (#1304) @cjnolet
• Make docs builds less verbose (#1302) @AyodeAwe
• Stop using versioneer to manage versions (#1301) @vyasr
• Adding util to get the device id for a pointer address (#1297) @cjnolet
• Enable dfg in pre-commit. (#1293) @vyasr
• Python API for brute-force KNN (#1292) @cjnolet
• support k up to 2048 in faiss select (#1287) @benfred
• CI: Remove specification of manual stage for check_style.sh script. (#1283) @csadorf
• New Sparse Matrix APIs (#1279) @cjnolet
• fix build on cuda 11.5 (#1277) @benfred
• IVF-Flat index splitting (#1271) @lowener
• Remove duplicate librmm runtime dependency (#1264) @ajschmidt8
• build.sh: Add option to log nvcc compile times (#1262) @ahendriksen
• Reduce error handling verbosity in CI tests scripts (#1259) @AjayThorve
• Update shared workflow branches (#1256) @ajschmidt8
• Keeping only compute similarity specializations for uint64_t for now (#1255) @cjnolet
• Fix compile time explosion for minkowski distance (#1254) @ahendriksen
• Unpin dask and distributed for development (#1253) @galipremsagar
• Remove gpuCI scripts. (#1252) @bdice
• IVF-PQ: store cluster data in individual lists and reduce templates (#1249) @achirkin
• Fix inconsistency between the building doc and CMakeLists.txt (#1248) @yong-wang
• Consolidating ANN benchmarks and tests (#1243) @cjnolet
• mdspan view for IVF-PQ API (#1236) @viclafargue
• Remove uint32 distance idx specializations (#1235) @cjnolet
• Add innerproduct to the pairwise distance api (#1226) @benfred
• Move date to build string in conda recipe (#1223) @ajschmidt8
• Replace faiss bfKnn (#1202) @benfred
• Expose KMeans init_plus_plus in pylibraft (#1198) @betatim
• Fix ucx-py version (#1184) @ajschmidt8
• Improve the performance of radix top-k (#1175) @yong-wang
• Add docs build job (#1168) @AyodeAwe
• Remove deprecated headers (#1145) @lowener
• Simplify distance/detail to make is easier to dispatch to different kernel implementations (#1142) @ahendriksen
• Initial port of auto-find-k (#1070) @cjnolet

v23.02.00

🚨 Breaking Changes

• Remove faiss ANN code from knnIndex (#1121) @benfred
• Use GenPC (Permuted Congruential) as the default random number generator everywhere (#1099) @Nyrio

🐛 Bug Fixes

• Reverting a few commits from 23.02 and speeding up end-to-end build time (#1232) @cjnolet
• Update README.md: fix a missing word (#1185) @achirkin
• balanced-k-means: fix a too large initial memory pool size (#1148) @achirkin
• Catch signal handler change error (#1147) @tfeher
• Squared norm fix follow-up (change was lost in merge conflict) (#1144) @Nyrio
• IVF-Flat bug fix: the squared norm is required for expanded distance calculations (#1141) @Nyrio
• build.sh switch to use RAPIDS magic value (#1132) @robertmaynard
• Fix euclidean_dist in IVF-Flat search (#1122) @Nyrio
• Update handle docstring (#1103) @dantegd
• Pin libcusparse and libcusolver to avoid CUDA 12 (#1095) @wphicks
• Fix race condition in raft::random::discrete (#1094) @Nyrio
• Fixing libraft conda recipes (#1084) @cjnolet
• Ensure that we get the cuda version of faiss. (#1078) @vyasr
• Fix double definition error in ANN refinement header (#1067) @tfeher
• Specify correct global targets names to raft_export (#1054) @robertmaynard
• Fix concurrency issues in k-means++ initialization (#1048) @Nyrio

📖 Documentation

• Adding small comms tutorial to docs (#1204) @cjnolet
• Separating more namespaces into easier-to-consume sections (#1091) @cjnolet
• Paying down some tech debt on docs, runtime API, and cython (#1055) @cjnolet

🚀 New Features

• Add function to convert mdspan to a const view (#1188) @lowener
• Internal library to share headers between test and bench (#1162) @achirkin
• Add public API and tests for hierarchical balanced k-means (#1113) @Nyrio
• Export NCCL dependency as part of raft::distributed. (#1077) @vyasr
• Serialization of IVF Flat and IVF PQ (#919) @tfeher

🛠️ Improvements

• Pin dask and distributed for release (#1242) @galipremsagar
• Update shared workflow branches (#1241) @ajschmidt8
• Removing interruptible from basic handle sync. (#1224) @cjnolet
• pre-commit: Update isort version to 5.12.0 (#1215) @wence-
• Pin wheel dependencies to same RAPIDS release (#1200) @sevagh
• Serializer for mdspans (#1173) @hcho3
• Use CTK 118/cp310 branch of wheel workflows (#1169) @sevagh
• Enable shallow copy of handle_t's resources with different workspace_resource (#1165) @cjnolet
• Protect balanced k-means out-of-memory in some cases (#1161) @achirkin
• Use squeuclidean for metric name in ivf_pq python bindings (#1160) @benfred
• ANN tests: make the min_recall check strict (#1156) @achirkin
• Make cutlass use static ctk (#1155) @sevagh
• Fix various build errors (#1152) @hcho3
• Remove faiss bfKnn call from fused_l2_knn unittest (#1150) @benfred
• Fix unary_op docs and add map_offset as an improved version of write_only_unary_op (#1149) @Nyrio
• Improvement of the math API wrappers (#1146) @Nyrio
• Changing handle_t to device_resources everywhere (#1140) @cjnolet
• Add L2SqrtExpanded support to ivf_pq (#1138) @benfred
• Adding workspace resource (#1137) @cjnolet
• Add raft::void_op functor (#1136) @ahendriksen
• IVF-PQ: tighten the test criteria (#1135) @achirkin
• Fix documentation author (#1134) @bdice
• Add L2SqrtExpanded support to ivf_flat ANN indices (#1133) @benfred
• Improvements in matrix::gather: test coverage, compilation errors, performance (#1126) @Nyrio
• Adding ability to use an existing stream in the pylibraft Handle (#1125) @cjnolet
• Remove faiss ANN code from knnIndex (#1121) @benfred
• Update builds for CUDA 11.8 and Python 3.10 (#1120) @ajschmidt8
• Update workflows for nightly tests (#1119) @ajschmidt8
• Enable Recently Updated Check (#1117) @ajschmidt8
• Build wheels alongside conda CI (#1116) @sevagh
• Allow host dataset for IVF-PQ (#1114) @tfeher
• Decoupling raft handle from underlying resources (#1111) @cjnolet
• Fixing an index error introduced in PR #1109 (#1110) @vinaydes
• Fixing the sample-without-replacement test failures (#1109) @vinaydes
• Remove faiss dependency from fused_l2_knn.cuh, selection_faiss.cuh, ball_cover.cuh and haversine_distance.cuh (#1108) @benfred
• Remove redundant operators in sparse/distance and move others to raft/core (#1105) @Nyrio
• Speedup make_blobs by up to 2x by fixing inefficient kernel launch configuration (#1100) @Nyrio
• Use GenPC (Permuted Congruential) as the default random number generator everywhere (#1099) @Nyrio
• Cleanup faiss includes (#1098) @benfred
• matrix::select_k: move selection and warp-sort primitives (#1085) @achirkin
• Exclude changelog from pre-commit spellcheck (#1083) @benfred
• Add GitHub Actions Workflows. (#1076) @bdice
• Adding uninstall option to build.sh (#1075) @cjnolet
• Use doctest for testing python example docstrings (#1073) @benfred
• Minor cython fixes / cleanup (#1072) @benfred
• IVF-PQ: tweak launch configuration (#1069) @achirkin
• Unpin dask and distributed for development (#1068) @galipremsagar
• Bifurcate Dependency Lists (#1065) @ajschmidt8
• Add support for 64bit svdeig (#1060) @lowener
• switch mma instruction shape to 1684 from current 1688 for 3xTF32 L2/cosine kernel (#1057) @mdoijade
• Make IVF-PQ build index in batches when necessary (#1056) @achirkin
• Remove unused setuputils modules (#1053) @vyasr
• Branch 23.02 merge 22.12 (#1051) @benfred
• Shared-memory-cached kernel for reduce_cols_by_key to limit atomic conflicts (#1050) @Nyrio
• Unify use of common functors (#1049) @Nyrio
• Replace k-means++ CPU bottleneck with a random::discrete prim (#1039) @Nyrio
• Add python bindings for kmeans fit (#1016) @benfred
• Add MaskedL2NN (#838) @ahendriksen
• Move contractions tiling logic outside of Contractions_NT (#837) @ahendriksen

v22.12.01

🚨 Breaking Changes

• Make ucx linkage explicit and add a new CMake target for it (#1032) @vyasr
• IVF-Flat: make adaptive-centers behavior optional (#1019) @achirkin
• Remove make_mdspan template for memory_type enum (#1005) @wphicks
• ivf-pq performance tweaks (#926) @achirkin

🐛 Bug Fixes

• Pin libcusparse and libcusolver to avoid CUDA 12 (#1097) @wphicks
• Fix pinnings for dask. (#1082) @vyasr
• fusedL2NN: Add input alignment checks (#1045) @achirkin
• Fix fusedL2NN bug that can happen when the same point appears in both x and y (#1040) @Nyrio
• Fix trivial deprecated header includes (#1034) @achirkin
• Suppres ptxas stack size warning in Debug mode (#1033) @tfeher
• Don't use CMake 3.25.0 as it has a FindCUDAToolkit show stopping bug (#1029) @robertmaynard
• Fix for gemmi deprecation (#1020) @lowener
• Remove make_mdspan template for memory_type enum (#1005) @wphicks
• Add except + to cython extern cdef declarations (#1001) @benfred
• Changing Overloads for GCC 11/12 bug (#995) @divyegala
• Changing Overloads for GCC 11/12 bugs (#992) @divyegala
• Fix pylibraft docstring example code (#980) @benfred
• Update raft tests to compile with C++17 features enabled (#973) @robertmaynard
• Making ivf flat gtest invoke mdspanified APIs (#955) @cjnolet
• Updates to kmeans public API to fix cuml (#932) @cjnolet
• Fix logger (vsnprintf consumes args) (#917) @Nyrio
• Adding missing include for device mdspan in mean_squared_error.cuh (#906) @cjnolet

📖 Documentation

• Add links to the docs site in the README (#1042) @benfred
• Moving contributing and developer guides to main docs (#1006) @cjnolet
• Update compiler flags in build docs (#999) @cjnolet
• Updating minimum required gcc version (#993) @cjnolet
• important doc updates for core, cluster, and neighbors (#933) @cjnolet

🚀 New Features

• ANN refinement Python wrapper (#1052) @tfeher
• Add ANN refinement method (#1038) @tfeher
• IVF-Flat: make adaptive-centers behavior optional (#1019) @achirkin
• Add wheel builds (#1013) @vyasr
• Update cuSparse wrappers to avoid deprecated functions (#989) @wphicks
• Provide memory_type enum (#984) @wphicks
• Add Tests for kmeans API (#982) @lowener
• mdspanifying weighted_mean and add raft::stats tests (#910) @lowener
• Implement raft::stats API with mdspan (#802) @lowener

🛠️ Improvements

• Pin dask and distributed for release (#1062) @galipremsagar
• IVF-PQ: use device properties helper (#1035) @achirkin
• Make ucx linkage explicit and add a new CMake target for it (#1032) @vyasr
• Fixing broken doc functions and improving coverage (#1030) @cjnolet
• Expose cluster_cost to python (#1028) @benfred
• Adding lightweight cai_wrapper to reduce boilerplate (#1027) @cjnolet
• Change raft docs theme to pydata-sphinx-theme (#1026) @galipremsagar
• Revert " Pin dask and distributed for release" (#1023) @galipremsagar
• Pin dask and distributed for release (#1022) @galipremsagar
• Replace dots_along_rows with rowNorm and improve coalescedReduction performance (#1011) @Nyrio
• Moving TestDeviceBuffer to pylibraft.common.device_ndarray (#1008) @cjnolet
• Add codespell as a linter (#1007) @benfred
• Fix environment channels (#996) @bdice
• Automatically sync handle when not passed to pylibraft functions (#987) @benfred
• Replace normalize_rows in ann_utils.cuh by a new rowNormalize prim and improve performance for thin matrices (small n_cols) (#979) @Nyrio
• Forward merge 22.10 into 22.12 (#978) @vyasr
• Use new rapids-cmake functionality for rpath handling. (#976) @vyasr
• Update cuda-python dependency to 11.7.1 (#975) @galipremsagar
• IVF-PQ Python wrappers (#970) @tfeher
• Remove unnecessary requirements for raft-dask. (#969) @vyasr
• Expose linalg::dot in public API (#968) @benfred
• Fix kmeans cluster templates (#966) @lowener
• Run linters using pre-commit (#965) @benfred
• linewiseop padded span test (#964) @mfoerste4
• Add unittest for linalg::mean_squared_error (#961) @benfred
• Exposing fused l2 knn to public APIs (#959) @cjnolet
• Remove a left over print statement from pylibraft (#958) @betatim
• Switch to using rapids-cmake for gbench. (#954) @vyasr
• Some cleanup of k-means internals (#953) @cjnolet
• Remove stale labeler (#951) @raydouglass
• Adding optional handle to each public API function (along with example) (#947) @cjnolet
• Improving documentation across the board. Adding quick-start to breathe docs. (#943) @cjnolet
• Add unittest for linalg::axpy (#942) @benfred
• Add cutlass 3xTF32,DMMA based L2/cosine distance kernels for SM 8.0 or higher (#939) @mdoijade
• Calculate max cluster size correctly for IVF-PQ (#938) @tfeher
• Add tests for raft::matrix (#937) @lowener
• Add fusedL2NN benchmark (#936) @Nyrio
• ivf-pq performance tweaks (#926) @achirkin
• Adding fused_l2_nn_argmin wrapper to Pylibraft (#924) @cjnolet
• Moving kernel gramm primitives to raft::distance::kernels (#920) @cjnolet
• kmeans improvements: random initialization on GPU, NVTX markers, no batching when using fusedL2NN (#918) @Nyrio
• Moving raft::spatial::knn -> raft::neighbors (#914) @cjnolet
• Create cub-based argmin primitive and replace argmin_along_rows in ANN kmeans (#912) @Nyrio
• Replace map_along_rows with matrixVectorOp (#911) @Nyrio
• Integrate accumulate_into_selected from ANN utils into linalg::reduce_rows_by_keys (#909) @Nyrio
• Re-enabling Fused L2 NN specializations and renaming cub::KeyValuePair -> raft::KeyValuePair (#905) @cjnolet
• Unpin dask and distributed for development (#886) @galipremsagar
• Adding padded layout 'layout_padded_general' (#725) @mfoerste4

v22.12.00

🚨 Breaking Changes

• Make ucx linkage explicit and add a new CMake target for it (#1032) @vyasr
• IVF-Flat: make adaptive-centers behavior optional (#1019) @achirkin
• Remove make_mdspan template for memory_type enum (#1005) @wphicks
• ivf-pq performance tweaks (#926) @achirkin

🐛 Bug Fixes

• fusedL2NN: Add input alignment checks (#1045) @achirkin
• Fix fusedL2NN bug that can happen when the same point appears in both x and y (#1040) @Nyrio
• Fix trivial deprecated header includes (#1034) @achirkin
• Suppres ptxas stack size warning in Debug mode (#1033) @tfeher
• Don't use CMake 3.25.0 as it has a FindCUDAToolkit show stopping bug (#1029) @robertmaynard
• Fix for gemmi deprecation (#1020) @lowener
• Remove make_mdspan template for memory_type enum (#1005) @wphicks
• Add except + to cython extern cdef declarations (#1001) @benfred
• Changing Overloads for GCC 11/12 bug (#995) @divyegala
• Changing Overloads for GCC 11/12 bugs (#992) @divyegala
• Fix pylibraft docstring example code (#980) @benfred
• Update raft tests to compile with C++17 features enabled (#973) @robertmaynard
• Making ivf flat gtest invoke mdspanified APIs (#955) @cjnolet
• Updates to kmeans public API to fix cuml (#932) @cjnolet
• Fix logger (vsnprintf consumes args) (#917) @Nyrio
• Adding missing include for device mdspan in mean_squared_error.cuh (#906) @cjnolet

📖 Documentation

• Add links to the docs site in the README (#1042) @benfred
• Moving contributing and developer guides to main docs (#1006) @cjnolet
• Update compiler flags in build docs (#999) @cjnolet
• Updating minimum required gcc version (#993) @cjnolet
• important doc updates for core, cluster, and neighbors (#933) @cjnolet

🚀 New Features

• ANN refinement Python wrapper (#1052) @tfeher
• Add ANN refinement method (#1038) @tfeher
• IVF-Flat: make adaptive-centers behavior optional (#1019) @achirkin
• Add wheel builds (#1013) @vyasr
• Update cuSparse wrappers to avoid deprecated functions (#989) @wphicks
• Provide memory_type enum (#984) @wphicks
• Add Tests for kmeans API (#982) @lowener
• mdspanifying weighted_mean and add raft::stats tests (#910) @lowener
• Implement raft::stats API with mdspan (#802) @lowener

🛠️ Improvements

• Pin dask and distributed for release (#1062) @galipremsagar
• IVF-PQ: use device properties helper (#1035) @achirkin
• Make ucx linkage explicit and add a new CMake target for it (#1032) @vyasr
• Fixing broken doc functions and improving coverage (#1030) @cjnolet
• Expose cluster_cost to python (#1028) @benfred
• Adding lightweight cai_wrapper to reduce boilerplate (#1027) @cjnolet
• Change raft docs theme to pydata-sphinx-theme (#1026) @galipremsagar
• Revert " Pin dask and distributed for release" (#1023) @galipremsagar
• Pin dask and distributed for release (#1022) @galipremsagar
• Replace dots_along_rows with rowNorm and improve coalescedReduction performance (#1011) @Nyrio
• Moving TestDeviceBuffer to pylibraft.common.device_ndarray (#1008) @cjnolet
• Add codespell as a linter (#1007) @benfred
• Fix environment channels (#996) @bdice
• Automatically sync handle when not passed to pylibraft functions (#987) @benfred
• Replace normalize_rows in ann_utils.cuh by a new rowNormalize prim and improve performance for thin matrices (small n_cols) (#979) @Nyrio
• Forward merge 22.10 into 22.12 (#978) @vyasr
• Use new rapids-cmake functionality for rpath handling. (#976) @vyasr
• Update cuda-python dependency to 11.7.1 (#975) @galipremsagar
• IVF-PQ Python wrappers (#970) @tfeher
• Remove unnecessary requirements for raft-dask. (#969) @vyasr
• Expose linalg::dot in public API (#968) @benfred
• Fix kmeans cluster templates (#966) @lowener
• Run linters using pre-commit (#965) @benfred
• linewiseop padded span test (#964) @mfoerste4
• Add unittest for linalg::mean_squared_error (#961) @benfred
• Exposing fused l2 knn to public APIs (#959) @cjnolet
• Remove a left over print statement from pylibraft (#958) @betatim
• Switch to using rapids-cmake for gbench. (#954) @vyasr
• Some cleanup of k-means internals (#953) @cjnolet
• Remove stale labeler (#951) @raydouglass
• Adding optional handle to each public API function (along with example) (#947) @cjnolet
• Improving documentation across the board. Adding quick-start to breathe docs. (#943) @cjnolet
• Add unittest for linalg::axpy (#942) @benfred
• Add cutlass 3xTF32,DMMA based L2/cosine distance kernels for SM 8.0 or higher (#939) @mdoijade
• Calculate max cluster size correctly for IVF-PQ (#938) @tfeher
• Add tests for raft::matrix (#937) @lowener
• Add fusedL2NN benchmark (#936) @Nyrio
• ivf-pq performance tweaks (#926) @achirkin
• Adding fused_l2_nn_argmin wrapper to Pylibraft (#924) @cjnolet
• Moving kernel gramm primitives to raft::distance::kernels (#920) @cjnolet
• kmeans improvements: random initialization on GPU, NVTX markers, no batching when using fusedL2NN (#918) @Nyrio
• Moving raft::spatial::knn -> raft::neighbors (#914) @cjnolet
• Create cub-based argmin primitive and replace argmin_along_rows in ANN kmeans (#912) @Nyrio
• Replace map_along_rows with matrixVectorOp (#911) @Nyrio
• Integrate accumulate_into_selected from ANN utils into linalg::reduce_rows_by_keys (#909) @Nyrio
• Re-enabling Fused L2 NN specializations and renaming cub::KeyValuePair -> raft::KeyValuePair (#905) @cjnolet
• Unpin dask and distributed for development (#886) @galipremsagar
• Adding padded layout 'layout_padded_general' (#725) @mfoerste4

v22.10.01

🚨 Breaking Changes

• Separating mdspan/mdarray infra into host_* and device_* variants (#810) @cjnolet
• Remove type punning from TxN_t (#781) @wphicks
• ivf_flat::index: hide implementation details (#747) @achirkin

🐛 Bug Fixes

• ivf-pq integration: hotfixes (#891) @achirkin
• Removing cub symbol from libraft-distance instantiation. (#887) @cjnolet
• ivf-pq post integration hotfixes (#878) @achirkin
• Fixing a few compile errors in new APIs (#874) @cjnolet
• Include knn.cuh in knn.cu benchmark source for finding brute_force_knn (#855) @teju85
• Do not use strcpy to copy 2 char (#848) @mhoemmen
• rng_state not including necessary cstdint (#839) @MatthiasKohl
• Fix integer overflow in ANN kmeans (#835) @Nyrio
• Add alignment to the TxN_t vectorized type (#792) @achirkin
• Fix adj_to_csr_kernel (#785) @ahendriksen
• Use rapids-cmake 22.10 best practice for RAPIDS.cmake location (#784) @robertmaynard
• Remove type punning from TxN_t (#781) @wphicks
• Various fixes for build.sh (#771) @vyasr

📖 Documentation

• Fix target names in build.sh help text (#879) @Nyrio
• Document that minimum required CMake version is now 3.23.1 (#841) @robertmaynard

🚀 New Features

• mdspanify raft::random functions uniformInt, normalTable, fill, bernoulli, and scaled_bernoulli (#897) @mhoemmen
• mdspan-ify several raft::random rng functions (#857) @mhoemmen
• Develop new mdspan-ified multi_variable_gaussian interface (#845) @mhoemmen
• Mdspanify permute (#834) @mhoemmen
• mdspan-ify rmat_rectangular_gen (#833) @mhoemmen
• mdspanify sampleWithoutReplacement (#830) @mhoemmen
• mdspan-ify make_regression (#811) @mhoemmen
• Updating raft::linalg APIs to use mdspan (#809) @divyegala
• Integrate KNN implementation: ivf-pq (#789) @achirkin

🛠️ Improvements

• Update cuda-python dependency to 11.7.1 (#963) @cjnolet
• Some fixes for build.sh (#901) @cjnolet
• Revert recent fused l2 nn instantiations (#899) @cjnolet
• Update Python build instructions (#898) @betatim
• Adding ninja and cxx compilers to conda dev dependencies (#893) @cjnolet
• Output non-normalized distances in IVF-PQ and brute-force KNN (#892) @Nyrio
• Readme updates for 22.10 (#884) @cjnolet
• Breaking apart benchmarks into individual binaries (#883) @cjnolet
• Pin dask and distributed for release (#858) @galipremsagar
• Mdspanifying (currently tested) raft::matrix (#846) @cjnolet
• Separating _RAFT_HOST and _RAFT_DEVICE macros (#836) @cjnolet
• Updating cpu job in hopes it speeds up python cpu builds (#828) @cjnolet
• Mdspan-ifying raft::spatial (#827) @cjnolet
• Fixing init.py for handle and stream (#826) @cjnolet
• Moving a few more things around (#822) @cjnolet
• Use fusedL2NN in ANN kmeans (#821) @Nyrio
• Separating test executables (#820) @cjnolet
• Separating mdspan/mdarray infra into host_* and device_* variants (#810) @cjnolet
• Fix malloc/delete mismatch (#808) @mhoemmen
• Renaming pyraft -> raft-dask (#801) @cjnolet
• Branch 22.10 merge 22.08 (#800) @cjnolet
• Statically link all CUDA toolkit libraries (#797) @trxcllnt
• Minor follow-up fixes for ivf-flat (#796) @achirkin
• KMeans benchmarks (cuML + ANN implementations) and fix for IndexT=int64_t (#795) @Nyrio
• Optimize fusedL2NN when data is skinny (#794) @ahendriksen
• Complete the deprecation of duplicated hpp headers (#793) @ahendriksen
• Prepare parts of the balanced kmeans for ivf-pq (#788) @achirkin
• Unpin dask and distributed for development (#783) @galipremsagar
• Exposing python wrapper for the RMAT generator logic (#778) @teju85
• Device, Host, Managed Accessor Types for mdspan (#776) @divyegala
• Fix Forward-Merger Conflicts (#768) @ajschmidt8
• Fea 2208 kmeans use specializations (#760) @cjnolet
• ivf_flat::index: hide implementation details (#747) @achirkin

v22.10.00

🚨 Breaking Changes

• Separating mdspan/mdarray infra into host_* and device_* variants (#810) @cjnolet
• Remove type punning from TxN_t (#781) @wphicks
• ivf_flat::index: hide implementation details (#747) @achirkin

🐛 Bug Fixes

• ivf-pq integration: hotfixes (#891) @achirkin
• Removing cub symbol from libraft-distance instantiation. (#887) @cjnolet
• ivf-pq post integration hotfixes (#878) @achirkin
• Fixing a few compile errors in new APIs (#874) @cjnolet
• Include knn.cuh in knn.cu benchmark source for finding brute_force_knn (#855) @teju85
• Do not use strcpy to copy 2 char (#848) @mhoemmen
• rng_state not including necessary cstdint (#839) @MatthiasKohl
• Fix integer overflow in ANN kmeans (#835) @Nyrio
• Add alignment to the TxN_t vectorized type (#792) @achirkin
• Fix adj_to_csr_kernel (#785) @ahendriksen
• Use rapids-cmake 22.10 best practice for RAPIDS.cmake location (#784) @robertmaynard
• Remove type punning from TxN_t (#781) @wphicks
• Various fixes for build.sh (#771) @vyasr

📖 Documentation

• Fix target names in build.sh help text (#879) @Nyrio
• Document that minimum required CMake version is now 3.23.1 (#841) @robertmaynard

🚀 New Features

• mdspanify raft::random functions uniformInt, normalTable, fill, bernoulli, and scaled_bernoulli (#897) @mhoemmen
• mdspan-ify several raft::random rng functions (#857) @mhoemmen
• Develop new mdspan-ified multi_variable_gaussian interface (#845) @mhoemmen
• Mdspanify permute (#834) @mhoemmen
• mdspan-ify rmat_rectangular_gen (#833) @mhoemmen
• mdspanify sampleWithoutReplacement (#830) @mhoemmen
• mdspan-ify make_regression (#811) @mhoemmen
• Updating raft::linalg APIs to use mdspan (#809) @divyegala
• Integrate KNN implementation: ivf-pq (#789) @achirkin

🛠️ Improvements

• Some fixes for build.sh (#901) @cjnolet
• Revert recent fused l2 nn instantiations (#899) @cjnolet
• Update Python build instructions (#898) @betatim
• Adding ninja and cxx compilers to conda dev dependencies (#893) @cjnolet
• Output non-normalized distances in IVF-PQ and brute-force KNN (#892) @Nyrio
• Readme updates for 22.10 (#884) @cjnolet
• Breaking apart benchmarks into individual binaries (#883) @cjnolet
• Pin dask and distributed for release (#858) @galipremsagar
• Mdspanifying (currently tested) raft::matrix (#846) @cjnolet
• Separating _RAFT_HOST and _RAFT_DEVICE macros (#836) @cjnolet
• Updating cpu job in hopes it speeds up python cpu builds (#828) @cjnolet
• Mdspan-ifying raft::spatial (#827) @cjnolet
• Fixing init.py for handle and stream (#826) @cjnolet
• Moving a few more things around (#822) @cjnolet
• Use fusedL2NN in ANN kmeans (#821) @Nyrio
• Separating test executables (#820) @cjnolet
• Separating mdspan/mdarray infra into host_* and device_* variants (#810) @cjnolet
• Fix malloc/delete mismatch (#808) @mhoemmen
• Renaming pyraft -> raft-dask (#801) @cjnolet
• Branch 22.10 merge 22.08 (#800) @cjnolet
• Statically link all CUDA toolkit libraries (#797) @trxcllnt
• Minor follow-up fixes for ivf-flat (#796) @achirkin
• KMeans benchmarks (cuML + ANN implementations) and fix for IndexT=int64_t (#795) @Nyrio
• Optimize fusedL2NN when data is skinny (#794) @ahendriksen
• Complete the deprecation of duplicated hpp headers (#793) @ahendriksen
• Prepare parts of the balanced kmeans for ivf-pq (#788) @achirkin
• Unpin dask and distributed for development (#783) @galipremsagar
• Exposing python wrapper for the RMAT generator logic (#778) @teju85
• Device, Host, Managed Accessor Types for mdspan (#776) @divyegala
• Fix Forward-Merger Conflicts (#768) @ajschmidt8
• Fea 2208 kmeans use specializations (#760) @cjnolet
• ivf_flat::index: hide implementation details (#747) @achirkin

v22.08.00

v22.08.00