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* First look at mfma / wmma unification * Refactor * Re-org file structure * Restructure transform selection and WaveWiseMma class * Update license files. Add missing gfx1151 support. Change wave size for HOST to 1. Update datatypes naming consistency * Fixes default MmaSelector implentation * Adds unit tests for amdgcn_mma and arch * Consolidate common arch id checks to constexpr functions. Strongly type ids as amdgcn_target_arch_id object. * Refactor is_any_value_of * Fixes mma_selector logic * Fix typo * Add mma selector test for tile decomposition * Fix compilation of mma.hpp * Revert back to c++17 compatibility * Fix compiler error by returning index_t from get_warp_size() * Apply suggestions from code review Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Fixes compiler error for missing is_wave32() function * Fixes compiler error for host wave_size() should be 64 * Fixes compiler errors where __cpp_concepts is not defined * Fixes compiler errors where __cpp_concepts is not defined * Fix test failure for host is wave64 by default --------- Co-authored-by: Chris Millette <you@example.com> Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
ck_tile/core
ck_tile/core contains every basic functions and structures to create a GPU kernel using ck_tile. User should only include ck_tile/core.hpp this single header to use all the functionality. Everything is under ck_tile namespace. The coding style under this folder should be similar to std (snake_case for structure/function, Camel for template types...)
algorithm/
coordinate transform and some other reusable algorithm
arch/
contains some basic device building block like mma, buffer addressing, etc...
container/
contains basic container data structure, array/sequence/tuple/...
numeric/
data type, and data type related math
tensor/
tensor descriptors and tile level API
utility/
other utility function for both host/device