mirror of https://github.com/ROCm/composable_kernel.git synced 2026-05-04 13:41:24 +00:00

Files

Aviral Goel f5f795c4d6 feat(HostTensor): Extend support for HostTensor class' >> operator to print more data types (#2691 )

* feat(check_err): add a variable to adjust number of incorrect values to print

* feat(host_tensor): add printing capability for fp8 bf8 int8 int4

* fix(gemm_utils): update acceptable data type

* fix(host_tensor): print both 4 bit ints in pk_int4_t

* refactor(HostTensor): define pk_int4_t_to_int8x2_t and fix typo in vector_type.hpp

* feat(host_tensor): add print first n elements functions

2025-08-27 18:17:24 -07:00

algorithm

[CK_TILE] Enable printing more structures in CK-Tile (#2443 )

2025-08-07 15:45:27 +03:00

arch

[CK_TILE] FMHA avoid unnecessary vmcnt0 (#2715 )

2025-08-25 20:55:12 +08:00

container

[CK_TILE] Enable printing more structures in CK-Tile (#2443 )

2025-08-07 15:45:27 +03:00

numeric

feat(HostTensor): Extend support for HostTensor class' >> operator to print more data types (#2691 )

2025-08-27 18:17:24 -07:00

tensor

[CK_TILE] FMHA avoid unnecessary vmcnt0 (#2715 )

2025-08-25 20:55:12 +08:00

utility

Fixes to "General 2D Reduction Kernel" (#2535 ) (#2656 )

2025-08-11 15:01:33 +02:00

config.hpp

Support Wave32 in CK_TILE - Part 1 (#2594 )

2025-08-18 10:08:31 -07:00

README.md

introducing ck_tile! (#1216 )

2024-04-15 19:27:12 -05:00

README.md

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