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Fix possible linting errors in changelog (#1141)

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* Fix possible linting errors in changelog

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[ROCm/composable_kernel commit: 6169fbbdb3]
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Bartłomiej Kocot
2024-01-24 17:19:02 +01:00
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parent db32462b2d
commit 526905641c
1 changed files with 29 additions and 29 deletions
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CHANGELOG.md
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### 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