Commit Graph

23 Commits

Author SHA1 Message Date
Cong Ma
e62710e461 ck_tile kernel for gemm with groupwise quantized A tensor (#2473)
* ck_tile kernel for gemm with groupwise quantized A or B tensor.

This change introduces new pipelines with Intrawave scheduler and block gemm primitives that loads the scale tensor to registers to perform dequantization post MFMA on C tensor in registers.

Scale tensor data, AQ/BQ is spliced across threads in registers and not stored in LDS.

Current support is for the following combinations, but it should be fairly straightforward to extend support to more formats.

1. fp8, fp8 -> f32
2. bf8, bf8 -> f32
3. i4, fp8 -> f32
4. i4, bf8 -> f32

Group size can go down to as low as K length of underlying WarpGemm primitive.

For Gemm problems with quantized B tensor, this change also introduces preliminary support for flatmm pipeline which loads B tensor directly into registers.

* [Block Scale Gemm] Only run gemm quant examples on __gfx94__

- Only run gemm quant examples on __gfx94__ for usage of
  `v_cvt_pk_fp8_f32`
- Format the code

* [Block Scale Gemm] Remove Bquant Gemm BlockScale

This cleanup is in preparation for future development of bquant. By
isolating Aquant-related code, we can streamline the codebase and make
it easier to add and maintain bquant functionality in subsequent
updates.

* [Block Scale Gemm] Format code with clang-format-12

The latest clang-format (v19) in ROCm 7.0 generate different result than
clang-format-12 which is used in CK CI.

Format code with clang-format-12 for consistency.

* [Block Scale Gemm] Split the k direction loop

- Split the k direction loop in block_universal_gemm_as_quant_bs_cr.hpp
   to make the logic clearer.
- Disable C transposition.

* [Block Scale Gemm] Move block scale gemm example to 38_block_scale_gemm

* [Block Scale Gemm] Update copyright

* test

* Add TailHandler

* Move TileDistributionEncodingPatternAQ

* Refactor

* refactor

* fix bug

* fix bug

* help solve the PR comment

* Format the code

* [Block Scale Gemm] Add unit tests

* [Block Scale Gemm] Add support to 16x16x32 MFMA

- Add support to 16x16x32 MFMA
- Fix a bug when exchange data crossing lanes

---------

Co-authored-by: Vijay Krishnamoorthy <vjkrish@meta.com>
Co-authored-by: Cong MA <congma13@ctr2-alola-ctrl-01.amd.com>
Co-authored-by: ThomasNing <thomas.ning@amd.com>
2025-07-23 00:10:16 -07:00
Bartłomiej Kocot
cebdee4d9e [CK TILE] Grouped Convolution Forward Kernel (#2188)
* [CK TILE] Grouped Convolution Forward Kernel

* custom vector size

* fixes

* refactor

* rebase fixes

* fixes

* fixes
2025-06-20 15:44:36 -07:00
joyeamd
a2f01141aa transpose load api development (#2177)
* add transpose load; no real logic

* fix some compile errors

* fix some issues

* update transpose load logic

* add some fixes

* fix a distribution issue

* update some codes

* add some fix

* can pass; but no logic

* transpose load enable

* update tile transpose

* miss output tile distribution mapping

* hack for transpose 16x16

* update output tensor distribution

* delete unused variables

* fix transpose related codes

* update transpose load example

* exchange the iteration order

* fix 16x16 related dimension transpose

* fix a transpose index issue

* fix a transpose index issue

* fix clang format check

* update load tile transpose related codes

* fix compile errors and pass 16x16 tests

* fix a typo

* update logic

* check other data types

* add transpose load api

* update transpose load api

* fix clang format check

* change file name

* refactor codes

* update code name

* delete some unused codes

* delete the unused oob flag for transpose load

* update tensor view api for transpose load

* update for testing

* fix a typo error

* move transpose ops to example directory

* update transpose api

* update include file

* fix for pr review

* fix compile errors

* add transpose load; no real logic

* fix some compile errors

* fix some issues

* update transpose load logic

* add some fixes

* fix a distribution issue

* update some codes

* add some fix

* can pass; but no logic

* transpose load enable

* update tile transpose

* miss output tile distribution mapping

* hack for transpose 16x16

* update output tensor distribution

* delete unused variables

* fix transpose related codes

* update transpose load example

* exchange the iteration order

* fix 16x16 related dimension transpose

* fix a transpose index issue

* fix a transpose index issue

* fix clang format check

* update load tile transpose related codes

* fix compile errors and pass 16x16 tests

* fix a typo

* update logic

* check other data types

* add transpose load api

* update transpose load api

* fix clang format check

* change file name

* refactor codes

* update code name

* delete some unused codes

* delete the unused oob flag for transpose load

* update tensor view api for transpose load

* update for testing

* fix a typo error

* move transpose ops to example directory

* update transpose api

* update include file

* fix for pr review

* fix compile errors

* change directory name

* delete the duplicated directory

* update cmakelists file

* delete the unused codes

* update function names

* update transpose policy

* update code after remod.py

* update codes

* add some comment

* Polish the instr infrastructure

* build up the fixed instr

* redesign the transpose api, currently it has numerical error

* add the bf16 transpose

* fix some issues

* add some comments

* update document

* Finished the refactor of API and pass through the verification

* fix the merging issue

---------

Co-authored-by: ThomasNing <thomas.ning@amd.com>
2025-06-18 01:28:34 -07:00
Mateusz Ozga
bd96ac9742 [CK_TILE] Multiple-D GEMM example (#2219)
* Multiple d, initial commit

* Check Ds Layout

* Readme and clang format

* Update branch & conflicts

* Multiple D - fix clang-formatter

* Rename elemetwise_op

* Fix CI

* Code review part1

* Remove printf

* Remove unnecessary comment

* Add new tests with Col layout

* Review part 2

* Added support for Multiple D GEMM

* Update comment

* Remove maybe_unused

* Clang-format

* Review part 3

* Add comment to function

* Add comment to function: another

* Take number of params for a refrence function

* Remove additional d param for 0 tensor

* Change name of function

* Fix CI fails
2025-06-13 19:39:11 +02:00
kylasa
956fe8f751 Simple copy kernel, which can be a tool to experiment with CK_Tile API with minimal code. (#2156)
* Test Copy kernel code for testing tile distribution logic

* Fix the error

* Solved the problem

* Updated comments and document formatting

* Removed unused tile distribution and code cleanup

* Added README.md and formatting for CI/CD.

---------

Co-authored-by: ThomasNing <thomas.ning@amd.com>
2025-05-07 00:02:59 -07:00
Illia Silin
9a9f59ae69 Revert "Add ck tile examples to package (#1880)" (#2150) 2025-04-30 10:20:16 -07:00
jakpiase
434d19f696 Add ck tile examples to package (#1880)
* add ck tile examples to package

* Update jenkinsfile

* fix for jenkinsfile

* fix for building ck tile code on non gfx9

* compile ck tile examples only for gfx94

* include ck tile examples in all target

* fix for basic gemm UseStructuredSparsity

* Update CMakeLists.txt

* Update gemm_pipeline_problem.hpp

* add targets to rocm install

---------

Co-authored-by: Illia Silin <98187287+illsilin@users.noreply.github.com>
2025-04-28 09:53:19 -07:00
BingYuan.Zhou
eaf1f0bf3b [flatmm] implement basic fp16 flatmm (#2089)
* [flatmm] implement basic fp16 flatmm

* fix CI build fail

---------

Co-authored-by: root <root@hjbog-srdc-50.amd.com>
Co-authored-by: solin <bingzhou@amd.com>
2025-04-16 16:51:17 +08:00
fangche123
c5fff071e5 add batched_transpose implement (#1660)
* add batched_transpose implement

---------

Co-authored-by: root <root@ctr-ubbsmc16.amd.com>
Co-authored-by: ThruptiRajLakshmanaGowda <tlakshma@amd.com>
Co-authored-by: ThomasNing <thomas.ning@amd.com>
2025-01-28 16:22:02 -08:00
Mateusz Ozga
4cb3d7d7ea Ck tile grouped GEMM example (#1713)
* Ck-tile, impl. grouped gemm

* Workspace is allocated by user, and is passed to the function

* Prepare test to new api design

* Unify GemTransKernelArgs, removing N0 param

* Add 1 to dim3 in paritioner

* Typo: gem - > gemm

---------

Co-authored-by: Adam Osewski <19374865+aosewski@users.noreply.github.com>
2024-12-04 21:40:01 +01:00
aledudek
78f0fea08e Ck tile batched gemm example (#1615)
* [CK Tile] Batched GEMM Example

* [CK Tile] Batched GEMM Example - minor refactor

* [CK Tile] Batched GEMM Example - README update

* [CK Tile] Batched Gemm Example - review changes

- Added tensor data layours as input parameters
- Changed structure of Host and Kernel args
- Removed bug with invalid vector read on non-contiguous memory

* [CK Tile] Batched Gemm Example - remove comment

* [CK Tile] Batched Gemm Example - Add GTests part1

* [CK Tile] Batched Gemm Example - GTests part2 + review changes

* [CK TILE] Batched GEMM post merge fixes

* [CK Tile] Batched GEMM Example - fix pad views
2024-11-29 11:52:18 +01:00
carlushuang
440e28b08f [CK_TILE] fused-moe first version (#1634)
* moe pipeline

* update code

* compile OK

* update

* update cpu reference

* update pipeline_gemm0

* compiler ok

* update pipeline

* rename to ex pipeline

* block-asm

* update

* update

* update first gemm ok

* compute correct

* update file structure

* update README

* update

* update

* update code

* update API

* return unsupport case

* add comment

* update readme

* update

* uncomment

* update

* fix build err

---------

Co-authored-by: valarLip <340077269@qq.com>
2024-11-26 11:14:56 +08:00
carlushuang
36c7ce4e0e [CK_TILE]Moe update index (#1672)
* update MOCK_ID for moe-sorting

* add moe-smoothquant

* update a comment

* fix format

* hot fix

* update topk in overflow case

* update comments

* update bf16 cvt

---------

Co-authored-by: valarLip <340077269@qq.com>
2024-11-25 13:12:35 +08:00
dummycoderfe
bec6fbc65f Ck tile/moe sorting (#1624)
* add moe_sorting & check ok

* fix comments & typo

* Run remod.py under include/ck_tile & example/ck_tile directories

* format codes

* fix output ci check bug

* fix moe sorting readme and error commit file

* use magiv div to accelerate compute

* add an loop unroll for moe lds ops

* add extblocksnel to set zeros for moebufs

* [Ck_tile] moe set zero run ok, add size check and fix ref check

* [Ck_tile]fix moe_sorting fuse set_zero remod

* [Ck_tile] change name style, fix zero buffer size err, change folder

* [Ck_tile] moe_sorting: fix name style

* [Ck_tile] moe_sorting, remove useless params in traits

* [Ck_tile] change outputtile cnt * unit_size; change output buf alloc

---------

Co-authored-by: dummycoderfe <noplydummmycoder@163.com>
Co-authored-by: Po Yen, Chen <PoYen.Chen@amd.com>
Co-authored-by: carlushuang <carlus.huang@amd.com>
2024-11-09 17:57:27 +08:00
rocking
fbd654545a [Ck_tile] smoothquant (#1617)
* fix compile error

* fix typo of padding

* Add smoothquant op

* Add smoothquant instance library

* refine type

* add test script

* Re-generate smoothquant.hpp

* Always use 'current year' in copyright

* use Generic2dBlockShape instead

* Add vector = 8 instance back

* Find exe path automatically

* Simplify the api condition

* Remove debugging code

* update year

* Add blank line between function declaration

* explicitly cast return value to dim3

* refine return value

* Fix default warmup and repeat value

* Add comment

* refactor sommthquant cmake

* Add README

* Fix typo

---------

Co-authored-by: Po Yen, Chen <PoYen.Chen@amd.com>
2024-11-01 13:51:56 +08:00
rocking
3d60953477 [Ck tile] support rmsnorm and related fusion (#1605)
* Add reduce2d new api

* Prevent user use cross warp reduction

* Fix bug of std caculation

* Add rmsnorm2d

* Add rmsnorm small example

* Remove static assert to prevent compile fail

* Add script to test performance and correctness

* Add missing cmake change

* refine naming

* refine example of rmsnorm

* Fix bug of rmsnorm

* Refine naming

* Fix cmake

* clang format

* Refine pipeline name

* Add add_rmsnorm2d_rdquant kernel

* Add reduce op

* host verification

* Fix bug of one pass pipeline

* Refine tile size

* Add two pass pipeline

* Rename two pass to three pass

* Fix bug of kSaveX == false

* Add instance library

* Add test script

* Fix bug of x verification

* Add save_x to trait

* Add README

* Move reduce2d into reduce folder

* Fix bug of welford when number of m warp > 1

* remove reduncant comment

* 1. move 06_rmsnorm2d to 10_rmsnorm2d
2. move 07_add_rmsnorm2d_rdquant to 11_add_rmsnorm2d_rdquant

* clang format and add missing header

* Add host validation of add + layernorm2d + rsquant

* Revert "Add host validation of add + layernorm2d + rsquant"

This reverts commit 936cb45797.

* Remove deprecated flag
2024-10-30 15:22:56 +08:00
valarLip
9fbd72e97e [CK_TILE] add generic_permute (#1607) 2024-10-29 18:05:53 +08:00
carlushuang
b098b71b05 topk_softmax (#1592)
* topk_softmax

* remove some file

* fix atomix linear_offset

* address various comment, and change sfc get_index api to static(tuple)
2024-10-26 23:52:49 +08:00
ltqin
0394f8a713 update layernorm (#1570)
* port layernorm

* change warp_welford.hpp

* Update warpshuffle

* 1. Add save mean and save std back
2. Move construction of tensor_view and tile_window to operator()

* refine welford max count calculation

* unify layernorm api

* Rename file

* Remove save mean and inv std

* Revert "refine welford max count calculation"

This reverts commit 022365802b.

* Fix order of parameter

* refine welford max count calculation again

* Remove fp32 instances

* Fix bug of padding

* refactor api

* Support bf16

* Extract common function

* Refine arg of operator()

* Add kMThreadPerBlock to template parameter

* clang format

* Refine variable name

* Refine file name

* remove redundant line

* refactor layernorm2d pipeline and add block-per-block utility

* fix name

* rename more

* add more block-per-tile instance

* remove duplicated define

* update instance for 2048, 1024 case

* support up to 2048 now

* opt loading

* add n1536

* Add two pass pipeline

* format

* Fix incorrect type

* parallel compilation

* Use smaller N

* fix 2p pass

* Support Repeat_M in distribution

* Refine nameing

* Add reduce example

---------

Co-authored-by: letaoqin <letaoqin@amd.com>
Co-authored-by: aska-0096 <haocwang@amd.com>
Co-authored-by: rocking <ChunYu.Lai@amd.com>
Co-authored-by: carlushuang <carlus.huang@amd.com>
2024-10-22 09:26:18 +08:00
Bartłomiej Kocot
de3e3b6424 [CK_TILE] Image to Column kernel (#1532)
* [CK_TILE] Image to Column kernel

* Fixes

* Vector loads and stores

* Fixes

* Fixes

* change test dir name
2024-09-27 22:57:38 +02:00
Thomas Ning
caacd38830 Ck tile gemm example (#1488)
* Checkpoint: Finished with the tile example & kernel verification, working on the different matrix layout

* Finished the Matrix Layout feature set up. Note: Need to modify the inner block to solve the shuffle problem in the future.

* Fix: Clang Format, API fixed from fmha

* fix with better naming convention

* revert back the pipeline code of fmha

* Fixed: Addressed the comments and merge the GEMM shape of GEMM Operator and FMHA Operator to one.

* clang format with the reference_gemm file

* convert the clang format with the remod.py

* Changed the format and variable name of the kernel gemm_shape and partitioner

---------

Co-authored-by: thomasning <thomasning@banff-cyxtera-s70-4.ctr.dcgpu>
2024-09-07 16:23:32 +08:00
rocking
cb13839425 layernorm2d forward (#1339)
* Add layernorm2d forward

* Refind file path

* clang format

* Exclude ck_tile op from all

* use add_executable instead

* refactor layernorm2d_fwd example

---------

Co-authored-by: carlushuang <carlus.huang@amd.com>
2024-06-24 08:45:52 +08:00
carlushuang
db376dd8a4 introducing ck_tile! (#1216)
* enable gfx940

* switch between intrinsic mfma routines on mi100/200 and mi300

* fix mfma_int8 on MI300

* disable 2 int8 examples on MI300

* Update cmake-ck-dev.sh

* restore gitignore file

* modify Jenkinsfile to the internal repo

* Bump rocm-docs-core from 0.24.0 to 0.29.0 in /docs/sphinx

Bumps [rocm-docs-core](https://github.com/RadeonOpenCompute/rocm-docs-core) from 0.24.0 to 0.29.0.
- [Release notes](https://github.com/RadeonOpenCompute/rocm-docs-core/releases)
- [Changelog](https://github.com/RadeonOpenCompute/rocm-docs-core/blob/develop/CHANGELOG.md)
- [Commits](https://github.com/RadeonOpenCompute/rocm-docs-core/compare/v0.24.0...v0.29.0)

---
updated-dependencies:
- dependency-name: rocm-docs-core
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>

* initial enablement of gfx950

* fix clang format

* disable examples 31 and 41 int8 on gfx950

* add code

* fix build wip

* fix xx

* now can build

* naming

* minor fix

* wip fix

* fix macro for exp2; fix warpgemm a/b in transposedC

* unify as tuple_array

* Update the required Python version to 3.9

* Update executable name in test scripts

* re-structure tuple/array to avoid spill

* Merge function templates

* Fix format

* Add constraint to array<> ctor

* Re-use function

* Some minor changes

* remove wrong code in store_raw()

* fix compile issue in transpose

* Rename enum
Rename 'cood_transform_enum' to 'coord_transform_enum'

* let more integral_constant->constant, and formating

* make sure thread_buffer can be tuple/array

* temp fix buffer_store spill

* not using custom data type by default, now we can have ISA-level same code as opt_padding

* fix compile error, fp8 not ready now

* fix fp8 duplicated move/shift/and/or problem

* Default use CK_TILE_FLOAT_TO_FP8_STOCHASTIC rounding mode

* fix scratch in fp8 kernel

* update some readme

* fix merge from upstream

* sync with upstream

* sync upstream again

* sync 22

* remove unused

* fix clang-format

* update README of ck_tile example

* fix several issue

* let python version to be 3.8 as minimal

* remove ck_tile example from default cmake target like all/install/check

* remove mistake

* 1).support receipe in generate.py 2).use simplified mask type 3).change left/right to pass into karg

* fix some bug in group-mode masking and codegen. update README

* F8 quantization for FMHA forward (#1224)

* Add SAccElementFunction, PComputeElementFunction, OAccElementFunction in pipeline

* Add element function to fmha api

* Adjust P elementwise function

* Fix bug of elementwise op, our elementwise op is not inout

* Add some elementwise op, prepare to quantization

* Let generate.py can generate different elementwise function

* To prevent compiler issue, remove the elementwise function we have not used.

* Remove f8 pipeline, we should share the same pipeline even in f8

* Remove remove_cvref_t

* Avoid warning

* Fix wrong fp8 QK/KV block gemm setting

* Check fp8 rounding error in check_err()

* Set fp8 rounding error for check_err()

* Use CK_TILE_FLOAT_TO_FP8_STANDARD as default fp8 rounding mode

* 1. codgen the f8 api and kernel
2. f8 host code

* prevent warning in filter mode

* Remove not-in-use elementwise function kargs

* Remove more not-in-use elementwise function kargs

* Small refinements in C++ source files

* Use conditional_t<> to simplify code

* Support heterogeneous argument for binary function types

* Re-use already-existing scales<> functor template

* Fix wrong value produced by saturating

* Generalize the composes<> template

* Unify saturates<> implementation

* Fix type errors in composes<>

* Extend less_equal<>

* Reuse the existing template less_equal<> in check_err()

* Add equal<float> & equal<double>

* Rename check_err() parameter

* Rename check_err() parameter

* Add FIXME comment for adding new macro in future

* Remove unnecessary cast to void

* Eliminate duplicated code

* Avoid dividing api pool into more than 2 groups

* Use more clear variable names

* Use affirmative condition in if stmt

* Remove blank lines

* Donot perfect forwarding in composes<>

* To fix compile error, revert generate.py back to 4439cc107d

* Fix bug of p element function

* Add compute element op to host softmax

* Remove element function in api interface

* Extract user parameter

* Rename pscale and oscale variable

* rename f8 to fp8

* rename more f8 to fp8

* Add pipeline::operator() without element_functor

* 1. Remove deprecated pipeline enum
2. Refine host code parameter

* Use quantization range as input

* 1. Rename max_dtype to dtype_max.
2. Rename scale to scale_s
3.Add init description

* Refine description

* prevent early return

* unify _squant kernel name in cpp, update README

* Adjust the default range.

* Refine error message and bias range

* Add fp8 benchmark and smoke test

* fix fp8 swizzle_factor=4 case

---------

Co-authored-by: Po Yen Chen <PoYen.Chen@amd.com>
Co-authored-by: carlushuang <carlus.huang@amd.com>

---------

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: illsilin <Illia.Silin@amd.com>
Co-authored-by: Illia Silin <98187287+illsilin@users.noreply.github.com>
Co-authored-by: Jing Zhang <jizha@amd.com>
Co-authored-by: zjing14 <zhangjing14@gmail.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Po-Yen, Chen <PoYen.Chen@amd.com>
Co-authored-by: rocking <ChunYu.Lai@amd.com>
2024-04-15 19:27:12 -05:00