v23.06.00

🚨 Breaking Changes

• Update minimum Python version to Python 3.9 (#1252) @shwina

🐛 Bug Fixes

• Ensure Logger tests aren't run in parallel (#1277) @robertmaynard
• Pin to scikit-build<0.17.2. (#1262) @bdice

🛠️ Improvements

• Require Numba 0.57.0+ & NumPy 1.21.0+ (#1279) @jakirkham
• Align test_cpp.sh with conventions in other RAPIDS repos. (#1269) @bdice
• Switch back to using primary shared-action-workflows branch (#1268) @vyasr
• Update recipes to GTest version >=1.13.0 (#1263) @bdice
• Support CUDA 12.0 for pip wheels (#1259) @bdice
• Add build vars (#1258) @AyodeAwe
• Enable sccache hits from local builds (#1257) @AyodeAwe
• Revert to branch-23.06 for shared-action-workflows (#1256) @shwina
• run docs builds nightly too (#1255) @AyodeAwe
• Build wheels using new single image workflow (#1254) @vyasr
• Update minimum Python version to Python 3.9 (#1252) @shwina
• Remove usage of rapids-get-rapids-version-from-git (#1251) @jjacobelli
• Remove wheel pytest verbosity (#1249) @sevagh
• Update clang-format to 16.0.1. (#1246) @bdice
• Remove uses-setup-env-vars (#1242) @vyasr
• Move RMM_LOGGING_ASSERT into separate header (#1241) @ahendriksen
• Use ARC V2 self-hosted runners for GPU jobs (#1239) @jjacobelli

v23.04.00

🐛 Bug Fixes

• Remove MANIFEST.in use auto-generated one for sdists and package_data for wheels (#1233) @vyasr
• Fix update-version.sh. (#1227) @vyasr
• Specify include_package_data to setup (#1218) @vyasr
• Revert changes overriding rapids-cmake repo. (#1209) @bdice
• Synchronize stream in DeviceBuffer.c_from_unique_ptr constructor (#1100) @shwina

🚀 New Features

• Use rapids-cmake parallel testing feature (#1183) @robertmaynard

🛠️ Improvements

• Stop setting package version attribute in wheels (#1236) @vyasr
• Add codespell as a linter (#1231) @bdice
• Pass AWS_SESSION_TOKEN and SCCACHE_S3_USE_SSL vars to conda build (#1230) @ajschmidt8
• Update to GCC 11 (#1228) @bdice
• Fix some minor oversights in the conversion to pyproject.toml (#1226) @vyasr
• Remove pickle compatibility layer in tests for Python < 3.8. (#1224) @bdice
• Move external allocators into rmm.allocators module to defer imports (#1221) @wence-
• Generate pyproject.toml dependencies using dfg (#1219) @vyasr
• Run rapids-dependency-file-generator via pre-commit (#1217) @vyasr
• Skip docs job in nightly runs (#1215) @AyodeAwe
• CI: Remove specification of manual stage for check_style.sh script. (#1214) @csadorf
• Use script rather than environment variable to modify package names (#1212) @vyasr
• Reduce error handling verbosity in CI tests scripts (#1204) @AjayThorve
• Update shared workflow branches (#1203) @ajschmidt8
• Use date in build string instead of in the version. (#1195) @bdice
• Stop using versioneer to manage versions (#1190) @vyasr
• Update to spdlog>=1.11.0, fmt>=9.1.0. (#1177) @bdice
• Migrate as much as possible to pyproject.toml (#1151) @jakirkham

v23.02.00

🐛 Bug Fixes

• pre-commit: Update isort version to 5.12.0 (#1197) @wence-
• Revert "Upgrade to spdlog 1.10 (#1173)" (#1176) @bdice
• Ensure UpstreamResourceAdaptor is not cleared by the Python GC (#1170) @shwina

📖 Documentation

• Fix documentation author (#1188) @bdice

🚀 New Features

• Add RMM PyTorch allocator (#1168) @shwina

🛠️ Improvements

• Update shared workflow branches (#1201) @ajschmidt8
• Fix update-version.sh (#1199) @raydouglass
• Use CTK 118/cp310 branch of wheel workflows (#1193) @sevagh
• Update build.yaml workflow to reduce verbosity (#1192) @AyodeAwe
• Fix build.yaml workflow (#1191) @ajschmidt8
• add docs_build step (#1189) @AyodeAwe
• Upkeep/wheel param cleanup (#1187) @sevagh
• Update workflows for nightly tests (#1186) @ajschmidt8
• Build CUDA 11.8 and Python 3.10 Packages (#1184) @ajschmidt8
• Build wheels alongside conda CI (#1182) @sevagh
• Update conda recipes. (#1180) @bdice
• Update PR Workflow (#1174) @ajschmidt8
• Upgrade to spdlog 1.10 (#1173) @kkraus14
• Enable codecov (#1171) @ajschmidt8
• Add support for Python 3.10. (#1166) @bdice
• Update pre-commit hooks (#1154) @bdice

v22.10.00

🐛 Bug Fixes

• Ensure consistent spdlog dependency target no matter the source (#1101) @robertmaynard
• Remove cuda event deadlocking issues in device mr tests (#1097) @robertmaynard
• Propagate exceptions raised in Python callback functions (#1096) @madsbk
• Avoid unused parameter warnings in do_get_mem_info (#1084) @fkallen
• Use rapids-cmake 22.10 best practice for RAPIDS.cmake location (#1083) @robertmaynard

📖 Documentation

• Document that minimum required CMake version is now 3.23.1 (#1098) @robertmaynard
• Fix docs for module-level API (#1091) @bdice
• Improve DeviceBuffer docs. (#1090) @bdice
• Branch 22.10 merge 22.08 (#1089) @harrism
• Improve docs formatting and update links. (#1086) @bdice
• Add resources section to README. (#1085) @bdice
• Simplify PR template. (#1080) @bdice

🚀 New Features

• Add gdb pretty-printers for rmm types (#1088) @upsj
• Support using THRUST_WRAPPED_NAMESPACE (#1077) @robertmaynard

🛠️ Improvements

• GH Actions - Enforce checks before builds run (#1125) @ajschmidt8
• Update GH Action Workflows (#1123) @ajschmidt8
• Add cudatoolkit versions to dependencies.yaml (#1119) @ajschmidt8
• Remove rmm installation from librmm tests` (#1117) @ajschmidt8
• Add GitHub Actions workflows (#1104) @Ethyling
• build.sh: accept --help (#1093) @madsbk
• Move clang dependency to conda develop packages. (#1092) @bdice
• Add device_uvector::reserve and device_buffer::reserve (#1079) @upsj
• Bifurcate Dependency Lists (#1073) @ajschmidt8

[NIGHTLY] v22.12.00

🔗 Links

• Development Branch
• Compare with main branch

🐛 Bug Fixes

• Don't use CMake 3.25.0 as it has a show stopping FindCUDAToolkit bug (#1162) @robertmaynard
• Relax test for async memory pool IPC handle support (#1130) @bdice

📖 Documentation

• Use rapidsai CODE_OF_CONDUCT.md (#1159) @bdice
• Fix doxygen formatting for set_stream. (#1153) @bdice
• Document required Python dependencies to build from source (#1146) @ccoulombe
• fix failed automerge (Branch 22.12 merge 22.10) (#1131) @harrism

🚀 New Features

• Add wheel builds to rmm (#1148) @vyasr

🛠️ Improvements

• Align version with wheel version (#1161) @sevagh
• Add ninja & Update CI environment variables (#1155) @ajschmidt8
• Remove CUDA 11.0 from dependencies.yaml. (#1152) @bdice
• Update dependencies schema. (#1147) @bdice
• Enable sccache for python build (#1145) @Ethyling
• Remove Jenkins scripts (#1143) @ajschmidt8
• Use ninja in GitHub Actions (#1142) @ajschmidt8
• Switch to using rapids-cmake for gbench. (#1139) @vyasr
• Remove stale labeler (#1137) @raydouglass
• Add a public copy API to DeviceBuffer (#1128) @galipremsagar
• Format gdb script. (#1127) @bdice

v22.08.00

🐛 Bug Fixes

• Specify language as 'en' instead of None (#1059) @jakirkham
• Add a missed except * (#1057) @shwina
• Properly handle cudaMemHandleTypeNone and cudaErrorInvalidValue in is_export_handle_type_supported (#1055) @gerashegalov

📖 Documentation

• Centralize common css & js code in docs (#1075) @galipremsagar

🛠️ Improvements

• Add the ability to register and unregister reinitialization hooks (#1072) @shwina
• Update isort to 5.10.1 (#1069) @vyasr
• Forward merge 22.06 into 22.08 (#1067) @vyasr
• Forward merge 22.06 into 22.08 (#1066) @vyasr
• Pin max version of cuda-python to 11.7 (#1062) @galipremsagar
• Change build.sh to find C++ library by default and avoid shadowing CMAKE_ARGS (#1053) @vyasr

[NIGHTLY] v22.10.00

🔗 Links

• Development Branch
• Compare with main branch

🐛 Bug Fixes

• Ensure consistent spdlog dependency target no matter the source (#1101) @robertmaynard
• Remove cuda event deadlocking issues in device mr tests (#1097) @robertmaynard
• Propagate exceptions raised in Python callback functions (#1096) @madsbk
• Avoid unused parameter warnings in do_get_mem_info (#1084) @fkallen
• Use rapids-cmake 22.10 best practice for RAPIDS.cmake location (#1083) @robertmaynard

📖 Documentation

• Document that minimum required CMake version is now 3.23.1 (#1098) @robertmaynard
• Fix docs for module-level API (#1091) @bdice
• Improve DeviceBuffer docs. (#1090) @bdice
• Branch 22.10 merge 22.08 (#1089) @harrism
• Improve docs formatting and update links. (#1086) @bdice
• Add resources section to README. (#1085) @bdice
• Simplify PR template. (#1080) @bdice

🚀 New Features

• Add gdb pretty-printers for rmm types (#1088) @upsj
• Support using THRUST_WRAPPED_NAMESPACE (#1077) @robertmaynard

🛠️ Improvements

• HOTFIX: Update cuda-python dependency to 11.7.1 (#1136) @shwina
• GH Actions - Enforce checks before builds run (#1125) @ajschmidt8
• Update GH Action Workflows (#1123) @ajschmidt8
• Add cudatoolkit versions to dependencies.yaml (#1119) @ajschmidt8
• Remove rmm installation from librmm tests` (#1117) @ajschmidt8
• Add GitHub Actions workflows (#1104) @Ethyling
• build.sh: accept --help (#1093) @madsbk
• Move clang dependency to conda develop packages. (#1092) @bdice
• Add device_uvector::reserve and device_buffer::reserve (#1079) @upsj
• Bifurcate Dependency Lists (#1073) @ajschmidt8

v22.06.01

v22.06.01

v22.06.00

🐛 Bug Fixes

• Clarifies Python requirements and version constraints (#1037) @jakirkham
• Use lib (not lib64) for libraries (#1024) @jakirkham
• Properly enable Cython docstrings. (#1020) @vyasr
• Update RMMNumbaManager to handle NUMBA_CUDA_USE_NVIDIA_BINDING=1 (#1004) @brandon-b-miller

📖 Documentation

• Clarify using RMM with other Python libraries (#1034) @jrhemstad
• Replace to_device with DeviceBuffer.to_device (#1033) @wence-
• Documentation Fix: Replace cudf::logic_error with rmm::logic_error (#1021) @codereport

🚀 New Features

• Add rmm::exec_policy_nosync (#1009) @fkallen
• Callback memory resource (#980) @shwina

🛠️ Improvements

• Fix conda recipes for conda compilers (#1043) @Ethyling
• Use new rapids-cython component of rapids-cmake to simplify builds (#1031) @vyasr
• Merge branch-22.04 to branch-22.06 (#1028) @jakirkham
• Update CMake pinning to just avoid 3.23.0. (#1023) @vyasr
• Build python using conda in GPU jobs (#1017) @Ethyling
• Remove pip requirements file. (#1015) @bdice
• Clean up Thrust includes. (#1011) @bdice
• Update black version (#1010) @vyasr
• Update cmake-format version for pre-commit and environments. (#995) @vyasr
• Use conda compilers (#977) @Ethyling
• Build conda packages using mambabuild (#900) @Ethyling

v22.04.01

v22.04.01