GitLab

* [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

* [CK TILE] Add gemm compute pipeline v3

* Enable universal gemm compute pipeline.

* Rename example and add compute pipeline.

* Introduce ag bg cr pipeline impl base.

* Refactor to reuse code.

* Cleaning

* Formatting.

---------
Co-authored-by: Adam Osewski <19374865+aosewski@users.noreply.github.com>
Co-authored-by: Adam Osewski <Adam.Osewski@amd.com>

* add interwave scheduler for gemm mem pipeline

* Fix merge artifacts.

* Refactor unit tests.

* Switch to interwave scheduler for mem example

---------
Co-authored-by: Adam Osewski <19374865+aosewski@users.noreply.github.com>
Co-authored-by: Adam Osewski <Adam.Osewski@amd.com>

* Fix cmake example build

* Support max3 in smoothquant one pass

* support max3 in two pass

* support max3 in add_rmsnorm_rdquant

* Allow getting batch size from splitkv tile partitioner

* Fix wrong paged-kvcache impl for group mode

* Fix wrong example code for page-kvcache

* Undo changes in fmha_fwd.cpp

* Always use 2D block table

* Add is_gappy kernel argument for paged-kvcache

The is_gappy argument is used for differentiating seqstart_k_ptr usage
in flash-attention & xformers

* Remove out-of-date comments

* Remove no-longer used method

* Fix wrong # page-block calculation

* Fix wrong comment

---------
Co-authored-by: Qianfeng <qianfeng.zhang@amd.com>

* Block universal gemm.

* Universal block gemm with interwave scheduler - draft.

* Refactoring

* Move a/b_warp_tiles into BlockGemmImpl
* set BlockGemmImpl as a class member

* Change tile size for more suitable to memory bound cases.

* Introduce kKPerThread to WarpGemm

* Add documentation comment.

* Fix Interwave scheduler block gemm.

* Add compute/memory friendly tile configuration.

* Clean

* New tile configurations in gemm mem example.

* Add more static checks and fix loop order in block gemm.

* Add more static checks and use warp gemm mfma dispatcher.

* Add default scheduler block gemm.

* Remove logging in example.

* 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>

* Fix mis-matched tuple<> elem types

* Rename MakeKargs() as MakeKargsImpl()

---------
Co-authored-by: Qianfeng <qianfeng.zhang@amd.com>

* 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>

* Change in fwd-splitkv kernel to support num_splits=1 case

* Update in codegen fwd-splitkv to make num_splits > 1 cases pass

* Specify instance traits in dispatch

* Fix link error for fp8 kernels

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

* Add overloads for MakeKargs

Overload MakeKargs to accept std::tuple<uint64_t, uint64_t> and std::tuple<void*, void*> to preserve functionality of code currently passing in list initializers or tuples.

* Add overloads for MakeKargs

Overload MakeKargs to accept std::tuple<uint64_t, uint64_t> and std::tuple<void*, void*> to preserve functionality of code currently passing in list initializers or tuples.

* Re-format files using ck_tile remod.py

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

* Generate group mode paged-attn kernel

* Enable paged-kvcache + group mode support

* Add missing header: fused_moe.hpp

* Add comment to explain kernel arg usage

* Make error message more clear

* Add comment for confusing data member names

* Add more comment for confusing variable names

* Fix typo in option description

Co-authored-by: dummycoderfe <noplydummmycoder@163.com>

* [CK TILE] Update gemm universal pipeline

* Fixes

* fix

* Rebase

* Finished the feature

* Modified the test file

* Test case update

* addresss comment

* Addressed the review comment

* Fixed the CI error

* [CK_TILE] add more stride for layernorm to support un-continuous Tensor

* align CK coding style

* extend strides to layernrom expample

* clang-format...

* 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>

* optimze small N case using vec io and using rcp div

* [Ck_tile] layernorm, add param to control fastdiv; change generate codes and test pass

* [Ck_tile] fix blockSize compute in Generic2dBlockShape

* [Ck_tile]fix kfastfdiv template style

* [Ck_tile] layernorm, fix stype in review

---------
Co-authored-by: dummycoderfe <noplydummmycoder@163.com>

* more accurate residual

* modify comment

* Fix literal case in README.md

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

* 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>

* hot fix ln

* some rename

* add prenorm/postnorm support, refactor using generate.py

* update README

* update README

* fix format

* update some description and fix format

* update format

* format

* use non-raw for loading

* format and update n4096

* dynamic-quant ready

* update readme

* support fused dynamic-quant

* update fused-quant, with smooth

* update README

* update args

* update some based on comment

* Remove virtual destructors from unary ops

* Fixes

* Fixes

* clang format fixes

* CK-Tile GEMM with memory bound pipeline.

* Memory bound gemm pipeline.

* Fix not closed namespace.

* Block gemm mem pipeline draft.

* Do not use ck_tile:: within ck_tile namespace.

* Refactoring & Move Layout info to pipeline problem.

* Get hot loop and TailNum information before lunching kernel.

* Fixes in pipeline.

* Add comment to load_tile_raw and change variable naming style.

* Few small changes & formatting.

* Do not use macro.

* Add gtests.

* Use AccDataType for Output of MFMA instruction.

* Formatting.

* Refactor gemm examples.

* Switch over to current block gemm.

* Use currently available pipeline policy.

* Refactoring and review comment.s

* Fixes after merge.

* Add missing include.

* Add load tile overload which accepts output tensor as parameter.

* This give 8% perf boost at the cost of using more registers.

* Rename example.

* Small changes.

* Fix compilation err and lower K.

* Support different layouts for A/B

* Fix vector size for different layouts.

* Rename Alignment into VectorSize

* Unblock tests.

* 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 936cb457978b928b90eff89a08fcdb7dc8bbed67.

* Remove deprecated flag

* Add ceil_to_qualified_tile_length()

* Rename kK0BlockLength to kQKHeaddim

* Add kSubQKHeaddim concept to support headdim96

* Fix in math.hpp to avoid using __half interfaces

* Add LdsBufferSequence instance for headdim96

* Update in fmha_fwd/fmha_fwd_splitkv codegen to support hd96 testing

* Disable hd96 instance generation in codegen fmha_fwd and fmha_fwd_splitkv to save compiling time

* Reformat one file

* Fix text alignment in fmha_fwd_splitkv.py

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

* topk_softmax

* remove some file

* fix atomix linear_offset

* address various comment, and change sfc get_index api to static(tuple)

* Use pre-defined constants for readability

* Use vector write for o_acc tensor

* Remove no-longer used policy method

* Deprecate no-longer used policy/pipeline

* Specify gemm0/gemm1 block warps separately in codegen

* Fix wrong ps_idx creation logic

* Add single-warp block gemm

* Supoprt single-warp gemm0

* Make MakeCBlockTile() as static method

* Use MakeCBlockTile() to get underlying tile distribution

* Use kNumGemm1Warps to compute # threads for gemm1

* Put normal case in the if clause

* Refine fmha splitkv block mapping

* Refine & fix the lse_acc/o_acc layout

* Fix wrong LDS size for K tile

* Use kK0=64 for hdim=128,256 fmha splitkv kernels

* Use kK1=64 for hdim=32,64,128 fmha splitkv kernels

* Undo kK0/kK1 changes

* Use more reasonable GetAlignmentV() computation

* Using store_tile() in fmha splitkv kernel epilogue

Co-authored-by: dummycoderfe <noplydummmycoder@163.com>

* 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 02236580

.

* 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>

* Use smaller width for lse_accum dist tensor

* Update pipeline comment

* Fix wrong distribution for lse_accum

* Remove duplicate dim in lse_accum dist encoding

* Decide fmha splitkv combine kernel kBlockSize by kM0

* Remove assumption of MPerThread=1

* Add log<4> & log<8> specialization

* Enlarge occupancy array

* Fix vector size for small tile

* Add support for kMaxSplits=8

* Re-format gemm.hpp

* Use 16x16x16 warp gemm for fwd_splitkv

* Centralize policy code changes

* Leave fp8/bf8 tile settings unchanged

* Add kQKHeaddimForGemmN and kVHeaddimForGemmN in order to support headdim 96

* Remove the using of MakeKRegBlockDescriptor and MakeVRegBlockDescriptor

* Fix in bwd_piple_default_policy

* Remove kQKHeaddim and rename kQKHeaddimForGemmN to kQKHeaddim in the bwd kernel and pipelines

* Replace kVHeaddimForGemmN by kVHeaddim and kDoDvHeaddim

* Update to hd96 tile settings

* Add smoke test scripts for fmha-bwd hd96

* Revert "Add smoke test scripts for fmha-bwd hd96"

This reverts commit 7ca7e1a93dc65eb99ce3ff4e82693589830e42a2.

* Remove hd96 tile settings in fmha_bwd codegen to save compiling

* Fix lost code line in bwd_pipeline_default_policy

* Merge kDoDvHeaddim/kPadHeadDimDoDv to kVHeaddim/kPadHeadDimV and remove TileFmhaBwdTraits

* Rename KRegSliceBlockDescriptor/VRegSliceBlockDescriptor to KRegBlockDescriptor/VRegBlockDescriptor

* tiny adjustments

---------
Co-authored-by: Po Yen Chen <PoYen.Chen@amd.com>
Co-authored-by: danyao12 <Dan.Yao@amd.com>

* [CK_TILE] Add block universal gemm pipeline policy

* Fixes

* fixes2

* Fixes3

* fixeS

* decouple the calling from gemm_pipeline

* clang format