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@raydouglass raydouglass released this 10 Apr 14:23
v24.04.00
8f19c9c

🚨 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