Update CHANGELOG.md

CHANGELOG.md

@@ -5,50 +5,49 @@ Full documentation for Composable Kernel is not yet available.
 ## (Unreleased) CK for ROCm 6.0.0
 
 ### Fixes
- - Fixed a hazard associated with inline v_dot (#808).
- - Fixed two bugs in grouped convolution backward data without K padding (#848 #876).
+ - Fixed a hazard associated with inline v_dot (#808)
+ - Fixed two bugs in grouped convolution backward data without K padding (#848 #876)
 
 ### Optimizations
 None
 
 ### Additions
-- Added an image to a column kernel (#867).
-- Added a column to an image kernel (#930).
-- Added support for 3D grouped convolution forward on RDNA 3 GPUs (#935).
-- Added grouped convolution support for small K and C (#822 #879 #897).
-- Added support for NHWGC (2D and 3D) grouped convolution backward weight (#769 #804).
-- Added support for bf16/f32/f16 and NHWGC (2D and 3d) grouped convolution backward data (#757 #799).
-- Added support for Batched Gemm DL (#732).
+- 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)
 
 ### Changes
- - Changed the grouped convolution API to maintain consistency with other convolution kernels (#817).
+ - Changed the grouped convolution API to maintain consistency with other convolution kernels (#817)
 
 ## CK 0.2.0 for ROCm 5.7.0
 
 ### Fixes
-- Fixed a bug in 6-dimensional kernels (#555).
-- Fixed a test case failure with grouped convolution backward weight (#524).
+- Fixed a bug in 6-dimensional kernels (#555)
+- Fixed a test case failure with grouped convolution backward weight (#524)
 
 ### Optimizations
-- Improved the performance of the normalization kernel.
+- Improved the performance of the normalization kernel
 
 ### Additions
-- Added new CMake flags:
+- 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
-- Added a new feature: if GPU_TARGETS is not set in the CMake command line, CK will be built for all targets supported by the compiler.
-- Added support for MI300A/MI300X.
-- Added support for AMD RDNA 3.
-- Added a user tutorial (#563).
-- Added additional instances for irregular GEMM sizes (#560).
-- Added an inter-wave consumer-producer programming model for GEMM kernels (#310).
-- Added multi-D GEMM client APIs (#534).
-- Added multi-embeddings support (#542).
-- Added AMD RDNA 3 blockwise GEMM and real GEMM support (#541).
-- Added AMD RDNA grouped convolution backward weight support (#505).
-- Added MaxPool, AvgPool forward (#815).
-- Added MaxPool backward (#750).
+- 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)
 
 ### Changes
 None