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05f9b2dde3
* Integrate universal gemm with conv bwd data
* Fix multi d kernel
* Add splitK support
* instances refactor
* instances refactor
* refactor
* fixeS
* fixes
* 16x16 instnaces
* Fixes
* Fix
* Fix
* Fix
* Fix
* Fix
* Fixes
* fix
* fix
[ROCm/composable_kernel commit: 4094ad158a]
124 lines
4.3 KiB
Markdown
124 lines
4.3 KiB
Markdown
# Changelog for Composable Kernel
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Documentation for Composable Kernel available at [https://rocm.docs.amd.com/projects/composable_kernel/en/latest/](https://rocm.docs.amd.com/projects/composable_kernel/en/latest/).
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## Composable Kernel 1.1.0 for ROCm 6.5.0
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### Added
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* Added support for bf16, f32, and f16 for 2D and 3D NGCHW grouped convolution backward data
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* Added a fully asynchronous HOST (CPU) arguments copy flow for CK grouped GEMM kernels.
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* Added support GKCYX layout for grouped convolution forward (NGCHW/GKCYX/NGKHW, number of instances in instance factory for NGCHW/GKYXC/NGKHW has been reduced).
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* Added support for GKCYX layout for grouped convolution forward (NGCHW/GKCYX/NGKHW).
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* Added support for GKCYX layout for grouped convolution backward weight (NGCHW/GKCYX/NGKHW).
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* Added support for GKCYX layout for grouped convolution backward data (NGCHW/GKCYX/NGKHW).
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* Added support for Stream-K version of mixed fp8/bf16 GEMM
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* Added GEMM pipeline for microscaling (MX) data types
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* Added support for FP16 2:4 structured sparsity to universal GEMM.
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* Added support for Split K for grouped convolution backward data.
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### Optimized
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None
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### Fixes
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None
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### Changes
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* Removed support for gfx940 and gfx941 targets (#1944)
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* Replaced the raw buffer load/store intrinsics with Clang20 built-ins (#1876)
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* DL and DPP kernels are now enabled by default.
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* Number of instances in instance factory for grouped convolution forward NGCHW/GKYXC/NGKHW has been reduced.
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* Number of instances in instance factory for grouped convolution backward weight NGCHW/GKYXC/NGKHW has been reduced.
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* Number of instances in instance factory for grouped convolution backward data NGCHW/GKYXC/NGKHW has been reduced.
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### Known issues
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None
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## Composable Kernel 1.1.0 for ROCm 6.1.0
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### Additions
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* Added generic instances for GEMM XDL operations (#1161)
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* Added gamma and beta parameters for the layernorm and groupnorm bwd operations (#1133)
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* Introduced wrapper sublibrary (limited functionality). (#1071, #1098, #1108, #1126)
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* Added an option to vary the number of warm-up cycles and iterations for ckProfiler (#1124)
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### Optimizations
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* New performance optimizations for GEMM operations on MI200 and MI300 architectures (#1135)
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### Fixes
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* Reduced the build time for most GPU architectures (#1084)
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* Fixed some conversion issues for fp8 data type (#1099)
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### Changes
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None
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### Known issues
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None
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## Composable Kernel 1.1.0 for ROCm 6.0.0
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### Fixes
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* Fixed a hazard associated with inline v_dot (#808)
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* Fixed two bugs in grouped convolution backward data without K padding (#848 #876)
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### Optimizations
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None
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### Additions
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* Added an image to a column kernel (#867)
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* Added a column to an image kernel (#930)
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* Support for 3D grouped convolution on RDNA 3 GPUs (#935, #950, #985)
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* Grouped convolution support for small K and C (#822 #879 #897)
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* Support for NHWGC (2D and 3D) grouped convolution backward weight (#769 #804)
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* Support for bf16/f32/f16 and NHWGC (2D and 3D) grouped convolution backward data (#757 #799)
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* Support for Batched GEMM DL (#732)
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### Changes
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* Changed the grouped convolution API to maintain consistency with other convolution kernels (#817)
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## Composable Kernel 0.2.0 for ROCm 5.7.0
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### Fixes
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* Fixed a bug in 6-dimensional kernels (#555)
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* Fixed a test case failure with grouped convolution backward weight (#524)
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### Optimizations
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* Improved the performance of the normalization kernel
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### Additions
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* New CMake flags:
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* "DL_KERNELS"-* Must be set to "ON" in order to build the GEMM DL and batched_gemm_multi_d_dl instances
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* "DTYPES" -- Can be set to any subset of "fp64;fp32;fp16;fp8;bf16;int8" to build an instance of the specified data types
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* "INSTANCES_ONLY" -- Only builds CK library and instances without tests, examples, or profiler
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* New feature: if GPU_TARGETS is not set in the CMake command line, CK will be built for all targets supported by the compiler
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* Support for MI300A/MI300X
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* Support for AMD RDNA 3
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* New user tutorial (#563)
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* Additional instances for irregular GEMM sizes (#560)
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* New inter-wave consumer-producer programming model for GEMM kernels (#310)
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* GEMM with support multiple elementwise fusions (multi-D) (#534)
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* Multi-embeddings support (#542)
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* AMD RDNA 3 blockwise GEMM and real GEMM support (#541)
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* AMD RDNA grouped convolution backward weight support (#505)
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* MaxPool and AvgPool forward (#815); MaxPool backward (#750)
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### Changes
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None
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