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* Add trait to use a persistent kernel and split the entrypoints in grouped gemm
* Some helper functions for persistent kernel case
* Get max occupancy grid using device properties
* Implement tile loop in main entry point to grouped gemm
* Enable GridSize() on device
* Handle offset tile index using real current block index
* Add persistent kernel choice to grouped gemm example
* Use a for-loop for iterating over the group
* Reduce VGPR spills by early-exit
* Enable persistent kernel choice in grouped_gemm example
* Add persistent kernel option to grouped_gemm test
* Fix formatting with remod.py
* Remove GridUpdateBlocks as blocks are now iteratively computed
* Add comment about VGPR spilling
* Fix formatting
* Use CK_TILE_HOST instead of __host__
* Enable all Row/Col combinations in grouped gemm unit test
* Add some KBatch=2 cases to grouped gemm tests
* Fix SplitK for grouped gemm
* Enable pipeline hotloop/tailnumber selection in-kernel for grouped gemm
* Add type traits
* Split examples to regular and tileloop
* Formatting
* Use hipExtStreamGetCUMask to get current active CUs for the given stream
* Align test and example kernel config, and disable validation for splitk repeats
* Remove debug options from CMakeLists.txt
* Separate the code paths for persistent/non-persistent in test
* Fix formatting
* Address review comments
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Co-authored-by: Adam Osewski <19374865+aosewski@users.noreply.github.com>
[ROCm/composable_kernel commit: d1e6f0982d]
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