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

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Co-authored-by: Lisa <lisajdelaney@gmail.com>

[ROCm/composable_kernel commit: 271ef645ac]

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