Files
composable_kernel/include/ck_tile/core
ltqin dd0b4294af Fp8 block scale quantization for fmha fwd (#3330)
* add block scale parameters to kernel

* add block scale to kernel

* add smoke test

* format

* Revert "format"

This reverts commit 356c3c9706.

* only format my code

* format py

* fix auto not allowd in function prototype

* change instance tttt to ttff

* fix structured binding issue

* change s_acc elementwise op

* async pipeline add block scale

* add quantation P using shift exp2

* precompute (m - shift) once per row

* change blk scale seqstrt ptr name

* fix some name

* fix for  deduction guide

* fix some comments

* add P scale to qr_ksvs_pipeline

* add comment to idx_identity

* change the method of calculating descale block index

* unify naming style: use block_scale_ as name prefix

* unify naming style

* update the CHANGELOG.md

* Add FP8 block scale quantization support for FMHA forward kernel

---------

Co-authored-by: Illia Silin <98187287+illsilin@users.noreply.github.com>
Co-authored-by: Po Yen Chen <PoYen.Chen@amd.com>
2026-01-21 20:58:26 -08:00
..
2026-01-13 09:21:29 -08:00
2026-01-13 09:21:29 -08:00
2026-01-13 09:21:29 -08:00
2024-04-15 19:27:12 -05:00

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