# Changelog for Composable Kernel

Full documentation for Composable Kernel is not yet available.

## (Unreleased) CK

### Fixes
None

### Optimizations
None

### Additions
* Introduced wrapper sublibrary (limited functionality). (#1071, #1098, #1108, #1126)

### Changes
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)

### 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)

### Changes
 * 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)

### Optimizations
* 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)

### Changes
None
