* 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>
* Add NullBlockDropout to be used when kHasDropout is false
* Change to BlockDropout::Run() for forward to reduce conditional checkings
* Re-format files
---------
Co-authored-by: PoYen, Chen <PoYen.Chen@amd.com>
* Update the element op
* Add an example
* Add instances
* Add a client example
* make sure new instances only build on gfx9
* Update element op and its handling
* Format
* Update instances to take element op as an argument
* Update examples to use random scale values
* Format
* Update client example with random scales
* Format
---------
Co-authored-by: illsilin <Illia.Silin@amd.com>
* Add a scale op
* Update the element op
* Add instances
* Add an example
* Add a client example
* Add a flag check
* Revert flag check addition
* Fix flag check
* Update d strides in example
* Update d strides in client example
* Apply suggestions from code review
Update copyright header
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com>
* Move the example
* Move the client example
* Update element op
* Update example with the new element op
* Add scalar layout
* Update example
* Update kernel for scalar Ds
* Revert kernel changes
* Update element op
* Update example to use scales' pointers
* Format
* Update instances
* Update client example
* Move element op to unary elements
* Update element op to work with values instead of pointers
* Update instances to take element op as an argument
* Update examples to use random scale values
---------
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com>
* add f8 gemm with multiD for both row/col wise
* change compute_type to fp8
* changed tuning parameters in the example
* add rcr example
* post-merge fix
* fix
* reduce init range
error: no viable conversion from returned value of type '__half' to function return type 'fp16_hip_t' (aka '_Float16')
Co-authored-by: carlushuang <carlus.huang@amd.com>
* add alibi support
* fix code
* update code based on comment
* Support more hdim
* fix fp8 bias
* support seqlen_k=0 case
* remove unused printf
* fix format
---------
Co-authored-by: rocking <ChunYu.Lai@amd.com>
* Add bf16 instances
* Add bf16 gemm universal example
* tempsave
* Add guard to navi compilation
* workground on a specific mixed gemm instance ( bring back it when compiler fix upload)
* fix formatting condition statement issue
* solve conflict
---------
Co-authored-by: Jun Liu <Liu.Jun@amd.com>
* Overload output stream operator for LoopScheduler and PiplineVersion
* Add Run overload accepting grid descriptors MK.
* Add __device__ keyword for CalculateGridSize
* Create device op GroupedGemmMultipleD
* Add GroupedGemm MultipleD Tile Loop implementation.
* Add an example for GroupedGemm MultipleD tile loop.
* Device Op GroupedGEMMTileLoop.
* Bunch of small changes in exmaple.
* CkProfiler
* Remove unused tparam.
* Fix include statement.
* Fix output stream overloads.
* Do not make descriptors and check validity untill we find group.
* Fix gemm desc initialization.
* Revert device op
* Fix compilation for DTYPES=FP16
* Validate tensor transfers paramters.
* Validate on host only NK dims if M is not known.
* Fix bug.
* A convenient debug func for selecting threads.
* Fix has main k block loop bug.
* Make sure that b2c has up to date tile offset.
* Output stream operator for Sequence type.
* Cmake file formatting.
* add flush cache to device op
* add flush cache parameter to ckProfiler
* change calculate size a and b method
* chang evaluation time method foro AVERAGE to MEDIAN
* format code
* adjust some code
* fix core dumped
* remove loop call flush icache in kernel
* remove loop(outer) call flush icache
---------
Co-authored-by: letaoqin <letaoqin@amd.com>
* Refactor elementwise kernels
* Instances fixes
* Fix cmake
* Fix max pool bwd test
* Update two stage gemm split k
* Restore elementwise scale for hiptensor backward compatiblity
* Fix Acc data type check in conv fwd multiple abd
* Disable conv fp64 fwd example
* Update grouped conv weight multi d
* 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>
