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* Add grouped convolution changes to changelog
* Fix 0.2.0 ck release rocm version
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* Update CHANGELOG.md
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* Update CHANGELOG.md
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Co-authored-by: Lisa <lisajdelaney@gmail.com>
[ROCm/composable_kernel commit: 271ef645ac]
54 lines
2.1 KiB
Markdown
54 lines
2.1 KiB
Markdown
# Changelog for Composable Kernel
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Full documentation for Composable Kernel is not yet available.
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## (Unreleased) CK 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 forward on RDNA 3 GPUs (#935)
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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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## CK 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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