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* Allow sharing partition index across threads * Fix typo PartitoinIndex -> PartitionIndex * Remove C++20 'requires' usages * Add missing template arguments * Fix load_tile() overload ambiguity issue * Use SFINAE to exclude invalid arguments * Add additional offset parameter to the async_load_tile() * Remove async_load_tile() default argument to avoid ambiguity * Extract tile_window coordinate compute logic as method * Use warp-shared LDS base address in tile_window::async_load() * Add constraint to tile_window::load() templates * Fix wrong type traits is_class_v<> usages * Add missing constraint to async_load_tile() * Add missing tile_window::load() overload * Add more constraint to avoid load_tile() call ambiguity * Rename ParitionIndex as ReplacementPartitionIndex * Update pre_computed_warp_coords_ in move_extended() * Fix inconsistency between template parameters and documentation * Allow specifying pre-computed parition index * Add type straits is_sequence<> & is_tile_distribution<> * Add type straits is_tensor_view<> * Add type constraints to make_tile_window() templates * Allow passing partition_index to set_tile_if() * Allow specifying partition_index to store_tile() * Add missing template parameter of replace_bottom_tensor_view() * Allow passing partition_index to Default2DEpilogue * Make get_partition_index() public * Add _with_offset() postfix to avoid resolution error * Remove ReplacementPartitionIndex template param * Add missing comments * Add load_tile_transpose_with_offset() overload
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