GitLab

* Fix mis-matched tuple<> elem types

* Rename MakeKargs() as MakeKargsImpl()

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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

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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

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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

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

* universal streamk fp8 changes & ckprofiler instances

* revert strides to -1 and verification options

* fp8 exclusion on pre-gfx94 for universal_streamk

* PR review based revisions: permissions reverted,  removed hip err checks


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Co-authored-by: Illia Silin <98187287+illsilin@users.noreply.github.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

* add bf16 gemms for gfx11/gfx12

* reduce the input values in test_gemm

* add int8 wmma gemm instances for gfx11/gfx12

* add example gemm_wmma_int8

* fix bug in gemm_wmma_int8 test

* increase bf16 gemm test tolerance

* update the dates and clean-up commented-out instances

* Batched GEMM Multiple D based on Universal GEMM
Co-authored-by: Jing Zhang <jizhan@fb.com>

* CI fixes
Co-authored-by: Jing Zhang <jizhan@fb.com>

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Co-authored-by: Jing Zhang <jizhan@fb.com>

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

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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

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

* explicit cast ptr offset

* formating change

* more accurate residual

* modify comment

* Fix literal case in README.md

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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

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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

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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)

* Add dynamic elementwise op
Co-authored-by: ThruptiRajLakshmanaGowda <thruptiraj.lakshmanagowda@amd.com>

* CI issues fix

* Custom parameter value for dynamic functions - Comments addressed

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Co-authored-by: ThruptiRajLakshmanaGowda <thruptiraj.lakshmanagowda@amd.com>
Co-authored-by: ThruptiRajLakshmanaGowda <tlakshma@amd.com>

* 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

* add int8 gemm multiply multiply a8w8

* uncomment

* clang-format-12

* Add example_gemm_multiply_multiply_xdl_int8

* Remove shell scripts

* update preprocess number for mi308; bring back printout in ckprofiler

* format

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Co-authored-by: chenjun <junchen2@amd.com>
Co-authored-by: Haocong WANG <haocwang@amd.com>
Co-authored-by: carlushuang <carlus.huang@amd.com>

* Calculate generic relative threshold pool3dfwd

* Calculate absolute error threshold pool3d fwd

* Generic threshold calculation take max input for relative error pool3dfwd

* Remove max possible value for error calculation at runtime

* Remove debug print in pool3dfwd

* Pool3d fwd adjusted types in generic threshold calculation

* Generic threshold calculation take into account number of accumulations and accdatatype

* Generic threshold fix final error formula

* Generic threshold calculation - num of accs fix

* Generic threshold calculation - adjust absolute error

* Generic threshold calculation - OutDataType in absolute error

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

Co-authored-by: Illia Silin <98187287+illsilin@users.noreply.github.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

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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