Fix possible linting errors in changelog (#1141)

* Fix possible linting errors in changelog

* Update CHANGELOG.md

* Update CHANGELOG.md

* Update CHANGELOG.md

CHANGELOG.md

@@ -11,7 +11,7 @@ None
 None
 
 ### Additions
-- Introduce wrapper sublibrary (limited functionality). (#1071, #1098, #1108, #1126)
+* Introduced wrapper sublibrary (limited functionality). (#1071, #1098, #1108, #1126)
 
 ### Changes
 None
@@ -19,49 +19,49 @@ None
 ## 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)
-- Support for 3D grouped convolution on RDNA 3 GPUs (#935, #950, #985)
-- 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)
+* Added an image to a column kernel (#867)
+* Added a column to an image kernel (#930)
+* Support for 3D grouped convolution on RDNA 3 GPUs (#935, #950, #985)
+* 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
-- 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)
+* 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)
 
 ### Changes
 None