From 20cb9eb4bbdf5492909510296758237b8cf409ac Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Bart=C5=82omiej=20Kocot?= Date: Thu, 28 Sep 2023 18:18:32 +0200 Subject: [PATCH] Add grouped convolution changes to changelog (#952) * Add grouped convolution changes to changelog * Fix 0.2.0 ck release rocm version * Suggested CHANGELOG.md edits * Update CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md --------- Co-authored-by: Lisa [ROCm/composable_kernel commit: 271ef645ac8335967791ab9e24c2a41f26bcf404] --- CHANGELOG.md | 66 ++++++++++++++++++++++++++++++---------------------- 1 file changed, 38 insertions(+), 28 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 9d38a66382..10d92d8e3e 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,43 +1,53 @@ -# Change Log for Composable Kernel +# Changelog for Composable Kernel Full documentation for Composable Kernel is not yet available. ## (Unreleased) CK for ROCm 6.0.0 -### Fixed +### Fixes + - Fixed a hazard associated with inline v_dot (#808) + - Fixed two bugs in grouped convolution backward data without K padding (#848 #876) ### Optimizations +None -### Added -- Added image to column (#867) and column to image kernels (#930). +### Additions +- Added an image to a column kernel (#867) +- Added a column to an image kernel (#930) +- Support for 3D grouped convolution forward on RDNA 3 GPUs (#935) +- Grouped convolution support for small K and C (#822 #879 #897) +- Support for NHWGC (2D and 3D) grouped convolution backward weight (#769 #804) +- Support for bf16/f32/f16 and NHWGC (2D and 3d) grouped convolution backward data (#757 #799) +- Support for Batched Gemm DL (#732) -### Changed +### Changes + - Changed the grouped convolution API to maintain consistency with other convolution kernels (#817) +## CK 0.2.0 for ROCm 5.7.0 -## CK 0.2.0 for ROCm 5.5.0 - -### Fixed -- Fixed a bug in 6-dimensional kernels (#555). -- Fixed grouped ConvBwdWeight test case failure (#524). +### Fixes +- Fixed a bug in 6-dimensional kernels (#555) +- Fixed a test case failure with grouped convolution backward weight (#524) ### Optimizations -- Improve proformance of normalization kernel +- Improved the performance of the normalization kernel -### Added -- Added new cmake flag "DL_KERNELS" must be set to "ON" in order to build the gemm_dl and batched_gemm_multi_d_dl instances. -- Added new cmake flag "DTYPES" which could be set to any subset of "fp64;fp32;fp16;fp8;bf16;int8" to build instance of select data types. -- Added new cmake flag "INSTANCES_ONLY" which will only build CK library and instances without the tests, examples, or profiler. -- Added new feature: if GPU_TARGETS is not set on cmake command line, CK will be built for all targets supported by compiler. -- Added support on MI300A/MI300X. -- Added support on NAVI3x. -- Added user tutorial (#563). -- Added more instances for irregular GEMM sizes (#560). -- Added inter-wave consumer-producer programming model for GEMM kernels (#310). -- Added multi-D GEMM client APIs (#534). -- Added multi-embeddings support (#542). -- Added Navi3x blockwise GEMM and real GEMM support (#541). -- Added Navi grouped ConvBwdWeight support (#505). -- Added MaxPool, AvgPool forward (#815). -- Added MaxPool backward (#750). +### Additions +- New CMake flags: + - "DL_KERNELS"-- Must be set to "ON" in order to build the gemm_dl and batched_gemm_multi_d_dl instances + - "DTYPES" -- Can be set to any subset of "fp64;fp32;fp16;fp8;bf16;int8" to build an instance of the specified data types + - "INSTANCES_ONLY" -- Only builds CK library and instances without tests, examples, or profiler +- New feature: if GPU_TARGETS is not set in the CMake command line, CK will be built for all targets supported by the compiler +- Support for MI300A/MI300X +- Support for AMD RDNA 3 +- New user tutorial (#563) +- Additional instances for irregular GEMM sizes (#560) +- New inter-wave consumer-producer programming model for GEMM kernels (#310) +- GEMM with support multiple elementwise fusions (multi-D) (#534) +- Multi-embeddings support (#542) +- AMD RDNA 3 blockwise GEMM and real GEMM support (#541) +- AMD RDNA grouped convolution backward weight support (#505) +- MaxPool and AvgPool forward (#815); MaxPool backward (#750) -### Changed +### Changes +None