- 07 Jan, 2025 1 commit
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Po Yen Chen authored
* Update license year * Add initial code to override decode problem * Fix splitkv traits/args overriding error * Reshape and transpose lse for decode * Remove debug code * Prettify example code * Use better function name * Add kMergeNumHeadGroupsSeqLenQ flag Kernel user can use this switch to turn on/off optimization for some problem sizes * Add missing flag declarations * Default turn off kMergeNumHeadGroupsSeqLenQ in codegen * Group similar statements together * Remove assumption of seqlen_q=1 * Remove kMergeNumHeadGroupsSeqLenQ from splitkv combine kernel * Support kMergeNumHeadGroupsSeqLenQ=true in fmha splitkv kernel * Run kMergeNumHeadGroupsSeqLenQ=true kernels when need * Fix group mode block skip logics * Undo changes of normal fwd kernel * Update in GridSize() and using GridSize() for splitkv kernel (#1799) --------- Co-authored-by:Qianfeng <qianfeng.zhang@amd.com>
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- 31 Oct, 2024 1 commit
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carlushuang authored
* 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
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- 26 Oct, 2024 1 commit
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carlushuang authored
* topk_softmax * remove some file * fix atomix linear_offset * address various comment, and change sfc get_index api to static(tuple)
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- 16 Apr, 2024 1 commit
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carlushuang authored
* 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 4439cc107dd90302d68a6494bdd33113318709f8 * 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>
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