v21.08.00

🚨 Breaking Changes

• expose epsilon parameter to allow precision to to be specified (#275) @ChuckHastings

🐛 Bug Fixes

• Fix support for different input and output types in linalg::reduce (#296) @Nyrio
• Const raft handle in sparse bfknn (#280) @cjnolet
• Add cuco::cuco to list of linked libraries (#279) @trxcllnt
• Use nested include in destination of install headers to avoid docker permission issues (#263) @dantegd
• Update UCX-Py version to 0.21 (#255) @pentschev
• Fix mst knn test build failure due to RMM device_buffer change (#253) @mdoijade

🚀 New Features

• Add chebyshev, canberra, minkowksi and hellinger distance metrics (#276) @mdoijade
• Move FAISS ANN wrappers to RAFT (#265) @cjnolet
• Remaining sparse semiring distances (#261) @cjnolet
• removing divye from codeowners (#257) @divyegala

🛠️ Improvements

• Pinning cuco to a specific commit hash for release (#304) @rlratzel
• Pin max dask & distributed versions (#301) @galipremsagar
• Overlap epilog compute with ldg of next grid stride in pairwise distance & fusedL2NN kernels (#292) @mdoijade
• Always add faiss library alias if it's missing (#287) @trxcllnt
• Use NVIDIA/cuCollections repo again (#284) @trxcllnt
• Use the 21.08 branch of rapids-cmake as rmm requires it (#278) @robertmaynard
• expose epsilon parameter to allow precision to to be specified (#275) @ChuckHastings
• Fix 21.08 forward-merge conflicts (#274) @ajschmidt8
• Add lds and sts inline ptx instructions to force vector instruction generation (#273) @mdoijade
• Move ANN to RAFT (additional updates) (#270) @cjnolet
• Sparse semirings cleanup + hash table & batching strategies (#269) @divyegala
• Revert "pin dask versions in CI (#260)" (#264) @ajschmidt8
• Pass stream to device_scalar::value() calls. (#259) @harrism
• Update get_rmm.cmake to better support CalVer (#258) @harrism
• Add Grid stride pairwise dist and fused L2 NN kernels (#250) @mdoijade
• Fix merge conflicts (#236) @ajschmidt8

[NIGHTLY] v22.02.00

🔗 Links

• Development Branch
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🚨 Breaking Changes

• Simplify raft component CMake logic, and allow compilation without FAISS (#428) @robertmaynard
• One cudaStream_t instance per raft::handle_t (#291) @divyegala

🐛 Bug Fixes

• Removing extra logging from faiss mr (#463) @cjnolet
• Pin dask & distributed versions (#455) @galipremsagar
• Replace RMM CUDA Python bindings with those provided by CUDA-Python (#451) @shwina
• Fix comms memory leak (#436) @seunghwak
• Fix C++ doxygen documentation (#426) @achirkin
• Fix clang-format style errors (#425) @achirkin
• Fix using incorrect macro RAFT_CHECK_CUDA in place of RAFT_CUDA_TRY (#415) @achirkin
• Fix CUDA_CHECK_NO_THROW compatibility define (#414) @zbjornson
• Disabling fused l2 knn from bfknn (#407) @cjnolet
• Disabling expanded fused l2 knn to unblock cuml CI (#404) @cjnolet
• Reverting default knn distance to L2Unexpanded for now. (#403) @cjnolet

📖 Documentation

• README and build fixes before release (#459) @cjnolet
• Updates to Python and C++ Docs (#442) @cjnolet

🚀 New Features

• error macros: determining buffer size instead of fixed 2048 chars (#420) @MatthiasKohl
• NVTX range helpers (#416) @achirkin

🛠️ Improvements

• Splitting fused l2 knn specializations (#461) @cjnolet
• Update cuCollection git tag (#447) @seunghwak
• Remove libcudacxx patch needed for nvcc 11.4 (#446) @robertmaynard
• Unpin dask and distributed (#440) @galipremsagar
• Public apis for remainder of matrix and stats (#438) @divyegala
• Fix bug in producer-consumer buffer exchange which occurs in UMAP test on GV100 (#429) @mdoijade
• Simplify raft component CMake logic, and allow compilation without FAISS (#428) @robertmaynard
• Update ucx-py version on release using rvc (#422) @ethyling
• Disabling fused l2 knn again. Not sure how this got added back. (#421) @cjnolet
• Adding no throw macro variants (#417) @cjnolet
• Remove IncludeCategories from .clang-format (#412) @codereport
• fix nan issues in L2 expanded sqrt KNN distances (#411) @mdoijade
• Consistent renaming of CHECK_CUDA and *_TRY macros (#410) @cjnolet
• Faster matrix-vector-ops (#401) @achirkin
• Adding dev conda environment files. (#397) @cjnolet
• Update to UCX-Py 0.24 (#392) @pentschev
• Branch 21.12 merge 22.02 (#386) @cjnolet
• Hiding implementation details for sparse API (#381) @cjnolet
• Adding distance specializations (#376) @cjnolet
• Use FAISS with RMM (#363) @viclafargue
• Add Fused L2 Expanded KNN kernel (#339) @mdoijade
• Update .clang-format to be consistent with all other RAPIDS repos (#300) @codereport
• One cudaStream_t instance per raft::handle_t (#291) @divyegala

[NIGHTLY] v21.12.00

🔗 Links

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🚨 Breaking Changes

• Use 64 bit CuSolver API for Eigen decomposition (#349) @lowener

🐛 Bug Fixes

• Fixing bad host->device copy (#375) @cjnolet
• Fix coalesced access checks in matrix_vector_op (#372) @achirkin
• Port libcudacxx patch from cudf (#370) @dantegd
• Fixing overflow in expanded distances (#365) @cjnolet

📖 Documentation

• Getting doxygen to run (#371) @cjnolet

🛠️ Improvements

• Upgrade clang to 11.1.0 (#394) @galipremsagar
• Fix Changelog Merge Conflicts for branch-21.12 (#390) @ajschmidt8
• Pin max dask & distributed (#388) @galipremsagar
• Removing conflict w/ CUDA_CHECK (#378) @cjnolet
• Update RAFT test directory (#359) @viclafargue
• Update to UCX-Py 0.23 (#358) @pentschev
• Hiding implementation details for random, stats, and matrix (#356) @divyegala
• README updates (#351) @cjnolet
• Use 64 bit CuSolver API for Eigen decomposition (#349) @lowener
• Hiding implementation details for distance primitives (dense + sparse) (#344) @cjnolet
• Unpin dask & distributed in CI (#338) @galipremsagar

[NIGHTLY] v21.10.00

🔗 Links

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🚨 Breaking Changes

• Miscellaneous tech debts/cleanups (#286) @viclafargue

🐛 Bug Fixes

• Accounting for rmm::cuda_stream_pool not having a constructor for 0 streams (#329) @divyegala
• Fix wrong lda parameter in gemv (#327) @achirkin
• Fix matrixVectorOp to verify promoted pointer type is still aligned to vectorized load boundary (#325) @viclafargue
• Pin rmm to branch-21.10 and remove warnings from kmeans.hpp (#322) @dantegd
• Temporarily pin RMM while refactor removes deprecated calls (#315) @dantegd
• Fix more warnings (#311) @harrism

📖 Documentation

• Fix build doc (#316) @lowener

🚀 New Features

• Add Hamming, Jensen-Shannon, KL-Divergence, Russell rao and Correlation distance metrics support (#306) @mdoijade

🛠️ Improvements

• Pin max dask and distributed versions to 2021.09.1 (#334) @galipremsagar
• Make sure we keep the rapids-cmake and raft cal version in sync (#331) @robertmaynard
• Add broadcast with const input iterator (#328) @seunghwak
• Fused L2 (unexpanded) kNN kernel for NN <= 64, without using temporary gmem to store intermediate distances (#324) @mdoijade
• Update with rapids cmake new features (#320) @robertmaynard
• Update to UCX-Py 0.22 (#319) @pentschev
• Fix Forward-Merge Conflicts (#318) @ajschmidt8
• Enable CUDA device code warnings as errors (#307) @harrism
• Remove max version pin for dask & distributed on development branch (#303) @galipremsagar
• Warnings are errors (#299) @harrism
• Use the new RAPIDS.cmake to fetch rapids-cmake (#298) @robertmaynard
• ENH Replace gpuci_conda_retry with gpuci_mamba_retry (#295) @dillon-cullinan
• Miscellaneous tech debts/cleanups (#286) @viclafargue
• Random Ball Cover Algorithm for 2D Haversine/Euclidean (#213) @cjnolet

[NIGHTLY] v21.06.00

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🐛 Bug Fixes

• Update UCX-Py version to 0.20 (#254) @pentschev
• cuco git tag update (again) (#248) @seunghwak
• Revert PR #232 for 21.06 release (#246) @dantegd
• Python comms to hold onto server endpoints (#241) @cjnolet
• Fix Thrust 1.12 compile errors (#231) @trxcllnt
• Make sure we use CalVer when checking out rapids-cmake (#230) @robertmaynard
• Loss of Precision in MST weight alteration (#223) @divyegala

🛠️ Improvements

• cuco git tag update (#243) @seunghwak
• Update CHANGELOG.md links for calver (#233) @ajschmidt8
• Add Grid stride pairwise dist and fused L2 NN kernels (#232) @mdoijade
• Updates to enable HDBSCAN (#208) @cjnolet

[NIGHTLY] v0.19.0

🔗 Links

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🐛 Bug Fixes

• Exposing spectral random seed property (#193) @cjnolet
• Fix pointer arithmetic in spmv smem kernel (#183) @lowener
• Modify default value for rowMajorIndex and rowMajorQuery in bf-knn (#173) @viclafargue
• Remove setCudaMallocWarning() call for libfaiss@v1.7.0 (#167) @trxcllnt
• Add const to KNN handle (#157) @hlinsen

🚀 New Features

• Moving optimized L2 1-nearest neighbors implementation from cuml (#158) @cjnolet

🛠️ Improvements

• Fixing codeowners (#194) @cjnolet
• Adjust Hellinger pairwise distance to vaoid NaNs (#189) @lowener
• Add column major input support in contractions_nt kernels with new kernel policy for it (#188) @mdoijade
• Dice formula correction (#186) @lowener
• Scaling knn graph fix connectivities algorithm (#181) @cjnolet
• Fixing RAFT CI & a few small updates for SLHC Python wrapper (#178) @cjnolet
• Add Precomputed to the DistanceType enum (for cuML DBSCAN) (#177) @Nyrio
• Enable matrix::copyRows for row major input (#176) @tfeher
• Add Dice distance to distancetype enum (#174) @lowener
• Porting over recent updates to distance prim from cuml (#172) @cjnolet
• Update KNN (#171) @viclafargue
• Adding translations parameter to brute_force_knn (#170) @viclafargue
• Update Changelog Link (#169) @ajschmidt8
• Map operation (#168) @viclafargue
• Updating sparse prims based on recent changes (#166) @cjnolet
• Prepare Changelog for Automation (#164) @ajschmidt8
• Update 0.18 changelog entry (#163) @ajschmidt8
• MST symmetric/non-symmetric output for SLHC (#162) @divyegala
• Pass pre-computed colors to MST (#154) @divyegala
• Streams upgrade in RAFT handle (RMM backend + create handle from parent's pool) (#148) @afender
• Merge branch-0.18 into 0.19 (#146) @dantegd
• Add device_send, device_recv, device_sendrecv, device_multicast_sendrecv (#144) @seunghwak
• Adding SLHC prims. (#140) @cjnolet
• Moving cuml sparse prims to raft (#139) @cjnolet