* generate and store library package for all targets
* use ninja to build packages for all targets
* make sure to use ftime-trace when using ninja
* make sure build trace only runs on gfx9
* archive lib package and stash only library package
* make the work compiled
* Solved the example code, but still have the profiler error
* Finished the feature
* Clang format and update the CHANGELOG
* solve the preshuffle v1 & v2 problem
* Comment Addressed
* Comment Addressed
* Add gemm_mx_fp8_bf8 example with row-major B
* Add more overloads of MX MFMA instructions
* Add MK_KN (RRR) tests
* Add KM_NK (CCR) tests
* Add more problem sizes to Large tests
* Add test_gemm_mx to the list of regression tests
* Prepare files for DeviceGemm_Wmma_CShuffleV3
* Implement main part of CShuffleV3 with block pipeline v3 for WMMA
* Remove unused functions and template params for A/B descriptors
* Support both gfx11 and gfx12
* Enable SplitK for gfx12 and disable for gfx11
* Added RowColRow layout for DeviceGemmV2 fp16
* Added more instances for Row, Col, Row data layout
* Added instances for DeviceGemm_Wmma_CShuffleV3, Col, Row, Row data layout
* Added instances for DeviceGemm_Wmma_CShuffleV3, Col, Col, Row data layout
* Added more instances for DeviceGemm_Wmma_CShuffleV3, Row, Row, Row data layout
* Fix formatting
* Add documentation
Based on e5ad48a784
* Enable gemm_universal profiling for gfx11/12
* Add WMMA intrinsics for F8/BF8
* Support F8/BF8 DeviceGemm_Wmma_CShuffleV3, add basic instances
* Add BF16 instances and tests
* Fix test_gemm_universal_wmma_fp8 by adding CK_USE_WMMA_FP8
---------
Co-authored-by: Anca Hamuraru <anca@streamhpc.com>
* Add new instances for weight_preshuffle for f8->bf16
* Add new instances for weight_preshuffle for f8->f16
* clang formatted
---------
Co-authored-by: Khushbu Agarwal <khuagar@amd.com>
Co-authored-by: Thomas Ning <Thomas.Ning@amd.com>
* Added two kernel for M=32 problem
* Comment the first one
* Enable multiply_multiply for Scale_Block_M = 1 for deepseek
* Modify the a_thread offset since the A data load is different from B.
* edit fp8 ab scale for Scale_Block_M=1
* edit GemmSpec to MNKPadding
* enable blockwise pipelie v1 and v2. v1 is work for small K.
* add instance for gemm_ab_scale
* fix cmakelist of ckProfiler
* optimize blockscale gemm. todo: reduce vgpr usage
* fix a correctness bug
* sanity checked
* revert ckprofiler cmake changes
* clang format
* revert unnecessary changes.
* remove commented codes.
* split weight preshuffle library targets
* bring back enable-post-misched=0
* fix build issues for gemm_multiply_multiply_fp8 instances
* fix clang format
* add verbose build flag when building for all targets
* reduce path names for new instances
* fix paths in cmake
* refactor gemm_multiply_multiply library target
* fix a bug in example
* fix example 65 cmake
* reduce the number of threads when building libs for all targets to 50
* use ninja to build for all targets
* reduce teh number of threads when building for all targets
* reduce the number of threads to 32 when building libs for all targets to 50
---------
Co-authored-by: mtgu0705 <mtgu@amd.com>
Co-authored-by: chenjun <junchen2@amd.com>
Co-authored-by: illsilin <Illia.Silin@amd.com>
Co-authored-by: Illia Silin <98187287+illsilin@users.noreply.github.com>
