[NIGHTLY] v24.08.00

🔗 Links

• Development Branch
• Compare with main branch

🛠️ Improvements

• Use rapids-build-backend. (#1502) @bdice

v24.04.00

🚨 Breaking Changes

• Accept stream argument in DeviceMemoryResource allocate/deallocate (#1494) @wence-
• Replace all internal usage of get_upstream with get_upstream_resource (#1491) @miscco
• Deprecate rmm::mr::device_memory_resource::supports_streams() (#1452) @harrism
• Remove deprecated rmm::detail::available_device_memory (#1438) @harrism
• Make device_memory_resource::supports_streams() not pure virtual. Remove derived implementations and calls in RMM (#1437) @harrism
• Deprecate rmm::mr::device_memory_resource::get_mem_info() and supports_get_mem_info(). (#1436) @harrism

🐛 Bug Fixes

• Fix search path for torch allocator in editable installs and ensure CUDA support is available (#1498) @vyasr
• Accept stream argument in DeviceMemoryResource allocate/deallocate (#1494) @wence-
• Run STATISTICS_TEST and TRACKING_TEST in serial to avoid OOM errors. (#1487) @bdice

📖 Documentation

• Pin to recent breathe, to prevent getting an unsupported sphinx version. (#1495) @bdice

🚀 New Features

• Replace all internal usage of get_upstream with get_upstream_resource (#1491) @miscco
• Add complete set of resource ref aliases (#1479) @nvdbaranec
• Automate include grouping using clang-format (#1463) @harrism
• Add get_upstream_resource to resource adaptors (#1456) @miscco
• Deprecate rmm::mr::device_memory_resource::supports_streams() (#1452) @harrism
• Remove duplicated memory_resource_tests (#1451) @miscco
• Change rmm::exec_policy to take async_resource_ref (#1449) @miscco
• Change device_scalar to take async_resource_ref (#1447) @miscco
• Add device_async_resource_ref convenience alias (#1441) @harrism
• Remove deprecated rmm::detail::available_device_memory (#1438) @harrism
• Make device_memory_resource::supports_streams() not pure virtual. Remove derived implementations and calls in RMM (#1437) @harrism
• Deprecate rmm::mr::device_memory_resource::get_mem_info() and supports_get_mem_info(). (#1436) @harrism
• Support CUDA 12.2 (#1419) @jameslamb

🛠️ Improvements

• Use conda env create --yes instead of --force (#1509) @bdice
• Add upper bound to prevent usage of NumPy 2 (#1501) @bdice
• Remove hard-coding of RAPIDS version where possible (#1496) @KyleFromNVIDIA
• Requre NumPy 1.23+ (#1488) @jakirkham
• Use rmm::device_async_resource_ref in multi_stream_allocation benchmark (#1482) @miscco
• Update devcontainers to CUDA Toolkit 12.2 (#1470) @trxcllnt
• Add support for Python 3.11 (#1469) @jameslamb
• target branch-24.04 for GitHub Actions workflows (#1468) @jameslamb
• [FEA]: Use std::optional instead of thrust::optional (#1464) @miscco
• Add environment-agnostic scripts for running ctests and pytests (#1462) @trxcllnt
• Ensure that ctest is called with --no-tests=error. (#1460) @bdice
• Update ops-bot.yaml (#1458) @AyodeAwe
• Adopt the rmm::device_async_resource_ref alias (#1454) @miscco
• Refactor error.hpp out of detail (#1439) @lamarrr

[NIGHTLY] v24.06.00

🔗 Links

• Development Branch
• Compare with main branch

🚨 Breaking Changes

• Refactor polymorphic allocator to use device_async_resource_ref (#1555) @harrism
• Remove deprecated functionality (#1537) @harrism
• Remove deprecated cuda_async_memory_resource constructor that takes thrust::optional parameters (#1535) @harrism
• Remove deprecated supports_streams and get_mem_info methods. (#1519) @harrism

🐛 Bug Fixes

• rmm needs to link to nvtx3::nvtx3-cpp to support installed nvtx3 (#1569) @robertmaynard
• Make sure rmm wheel dependency on librmm is updated [skip ci] (#1565) @raydouglass
• Don't ignore GCC-specific warning under Clang (#1557) @aaronmondal
• Add publish jobs for C++ wheels (#1554) @vyasr
• Explicitly use the current device resource in DeviceBuffer (#1514) @wence-

📖 Documentation

• Allow specifying mr in DeviceBuffer construction, and document ownership requirements in Python/C++ interfacing (#1552) @wence-
• Fix Python install instruction (#1547) @wence-
• Update multi-gpu discussion for device_buffer and device_vector dtors (#1524) @wence-
• Fix ordering / heading levels in README.md and python example in guide.md (#1513) @harrism

🚀 New Features

• Add NVTX support and RMM_FUNC_RANGE() macro (#1558) @harrism
• Always use a static gtest (#1532) @robertmaynard
• Build C++ wheel (#1529) @vyasr
• Remove deprecated supports_streams and get_mem_info methods. (#1519) @harrism

🛠️ Improvements

• update copyright dates (#1564) @jameslamb
• Overhaul ops-codeowners (#1561) @raydouglass
• Adding support for cupy.cuda.stream.ExternalStream (#1559) @lilohuang
• Refactor polymorphic allocator to use device_async_resource_ref (#1555) @harrism
• add RAPIDS copyright pre-commit hook (#1553) @jameslamb
• Enable warnings as errors for Python tests (#1551) @mroeschke
• Remove header existence tests. (#1550) @bdice
• Only use functions in the limited API (#1545) @vyasr
• Migrate to {{ stdlib("c") }} (#1543) @hcho3
• Fix cuda11.8 nvcc dependency (#1542) @trxcllnt
• add --rm and --name to devcontainer run args (#1539) @trxcllnt
• Remove deprecated functionality (#1537) @harrism
• Remove deprecated cuda_async_memory_resource constructor that takes thrust::optional parameters (#1535) @harrism
• Make thrust_allocator deallocate safe in multi-device setting (#1533) @wence-
• Move rmm Python package to subdirectory (#1526) @vyasr
• Remove a file not being used (#1521) @galipremsagar
• Remove unneeded update-version.sh update (#1520) @AyodeAwe
• Enable all tests for arm arch (#1510) @galipremsagar

v24.02.00

🚨 Breaking Changes

• Make device_memory_resource::do_get_mem_info() and supports_get_mem_info() not pure virtual. Remove derived implementations and calls in RMM (#1430) @harrism
• Deprecate detail::available_device_memory, most detail/aligned.hpp utilities, and optional pool_memory_resource initial size (#1424) @harrism
• Require explicit pool size in pool_memory_resource and move some things out of detail namespace (#1417) @harrism
• Remove HTML builds of librmm (#1415) @vyasr
• Update to CCCL 2.2.0. (#1404) @bdice
• Switch to scikit-build-core (#1287) @vyasr

🐛 Bug Fixes

• Exclude tests from builds (#1459) @vyasr
• Update CODEOWNERS (#1410) @raydouglass
• Correct signatures for torch allocator plug in (#1407) @wence-
• Fix Arena MR to support simultaneous access by PTDS and other streams (#1395) @tgravescs
• Fix else-after-throw clang tidy error (#1391) @harrism

📖 Documentation

• remove references to setup.py in docs (#1420) @jameslamb
• Remove HTML builds of librmm (#1415) @vyasr
• Update GPU support docs to drop Pascal (#1413) @harrism

🚀 New Features

• Make device_memory_resource::do_get_mem_info() and supports_get_mem_info() not pure virtual. Remove derived implementations and calls in RMM (#1430) @harrism
• Deprecate detail::available_device_memory, most detail/aligned.hpp utilities, and optional pool_memory_resource initial size (#1424) @harrism
• Add a host-pinned memory resource that can be used as upstream for pool_memory_resource. (#1392) @harrism

🛠️ Improvements

• Remove usages of rapids-env-update (#1423) @KyleFromNVIDIA
• Refactor CUDA versions in dependencies.yaml. (#1422) @bdice
• Require explicit pool size in pool_memory_resource and move some things out of detail namespace (#1417) @harrism
• Update dependencies.yaml to support CUDA 12.*. (#1414) @bdice
• Define python dependency range as a matrix fallback. (#1409) @bdice
• Use latest cuda-python within CUDA major version. (#1406) @bdice
• Update to CCCL 2.2.0. (#1404) @bdice
• Remove RMM_BUILD_WHEELS and standardize Python builds (#1401) @vyasr
• Update to fmt 10.1.1 and spdlog 1.12.0. (#1374) @bdice
• Switch to scikit-build-core (#1287) @vyasr

v23.12.00

🚨 Breaking Changes

• Document minimum CUDA version of 11.4 (#1385) @harrism
• Store and set the correct CUDA device in device_buffer (#1370) @harrism
• Use cuda::mr::memory_resource instead of raw device_memory_resource (#1095) @miscco

🐛 Bug Fixes

• Update actions/labeler to v4 (#1397) @raydouglass
• Backport arena MR fix for simultaneous access by PTDS and other streams (#1396) @bdice
• Deliberately leak PTDS thread_local events in stream ordered mr (#1375) @wence-
• Add missing CUDA 12 dependencies and fix dlopen library names (#1366) @vyasr

📖 Documentation

• Document minimum CUDA version of 11.4 (#1385) @harrism
• Fix more doxygen issues (#1367) @vyasr
• Add groups to the doxygen docs (#1358) @vyasr
• Enable doxygen XML and fix issues (#1348) @vyasr

🚀 New Features

• Make internally stored default argument values public (#1373) @vyasr
• Store and set the correct CUDA device in device_buffer (#1370) @harrism
• Update rapids-cmake functions to non-deprecated signatures (#1357) @robertmaynard
• Generate unified Python/C++ docs (#1324) @vyasr
• Use cuda::mr::memory_resource instead of raw device_memory_resource (#1095) @miscco

🛠️ Improvements

• Silence false gcc warning (#1381) @miscco
• Build concurrency for nightly and merge triggers (#1380) @bdice
• Update shared-action-workflows references (#1363) @AyodeAwe
• Use branch-23.12 workflows. (#1360) @bdice
• Update devcontainers to 23.12 (#1355) @raydouglass
• Generate proper, consistent nightly versions for pip and conda packages (#1347) @vyasr
• RMM: Build CUDA 12.0 ARM conda packages. (#1330) @bdice

v23.10.00

🚨 Breaking Changes

• Update to Cython 3.0.0 (#1313) @vyasr

🐛 Bug Fixes

• Compile cdef public functions from torch_allocator with C ABI (#1350) @wence-
• Make doxygen only a conda dependency. (#1344) @bdice
• Use conda mambabuild not mamba mambabuild (#1338) @wence-
• Fix stream_ordered_memory_resource attempt to record event in stream from another device (#1333) @harrism

📖 Documentation

• Clean up headers in CMakeLists.txt. (#1341) @bdice
• Add pre-commit hook to validate doxygen (#1334) @vyasr
• Fix doxygen warnings (#1317) @vyasr
• Treat warnings as errors in Python documentation (#1316) @vyasr

🚀 New Features

• Enable RMM Debug Logging via Python (#1339) @harrism

🛠️ Improvements

• Update image names (#1346) @AyodeAwe
• Update to clang 16.0.6. (#1343) @bdice
• Update doxygen to 1.9.1 (#1337) @vyasr
• Simplify wheel build scripts and allow alphas of RAPIDS dependencies (#1335) @divyegala
• Use copy-pr-bot (#1329) @ajschmidt8
• Add RMM devcontainers (#1328) @trxcllnt
• Add Python bindings for limiting_resource_adaptor (#1327) @pentschev
• Fix missing jQuery error in docs (#1321) @AyodeAwe
• Use fetch_rapids.cmake. (#1319) @bdice
• Update to Cython 3.0.0 (#1313) @vyasr
• Branch 23.10 merge 23.08 (#1312) @vyasr
• Branch 23.10 merge 23.08 (#1309) @vyasr

v23.08.00

🚨 Breaking Changes

• Stop invoking setup.py (#1300) @vyasr
• Remove now-deprecated top-level allocator functions (#1281) @wence-
• Remove padding from device_memory_resource (#1278) @vyasr

🐛 Bug Fixes

• Fix typo in wheels-test.yaml. (#1310) @bdice
• Add a missing '#include <array>' in logger.hpp (#1295) @valgur
• Use gbench thread_index() accessor to fix replay bench compilation (#1293) @harrism
• Ensure logger tests don't generate temp directories in build dir (#1289) @robertmaynard

🚀 New Features

• Remove now-deprecated top-level allocator functions (#1281) @wence-

🛠️ Improvements

• Switch to new CI wheel building pipeline (#1305) @vyasr
• Revert CUDA 12.0 CI workflows to branch-23.08. (#1303) @bdice
• Update linters: remove flake8, add ruff, update cython-lint (#1302) @vyasr
• Adding identify minimum version requirement (#1301) @hyperbolic2346
• Stop invoking setup.py (#1300) @vyasr
• Use cuda-version to constrain cudatoolkit. (#1296) @bdice
• Update to CMake 3.26.4 (#1291) @vyasr
• use rapids-upload-docs script (#1288) @AyodeAwe
• Reorder parameters in RMM_EXPECTS (#1286) @vyasr
• Remove documentation build scripts for Jenkins (#1285) @ajschmidt8
• Remove padding from device_memory_resource (#1278) @vyasr
• Unpin scikit-build upper bound (#1275) @vyasr
• RMM: Build CUDA 12 packages (#1223) @bdice

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