GitLab

* Fix the conversion

* Add bf8 functionality

* Enable example on MI200 as well

* apply the patch for dl kernels on gfx11

* build DL kernels on navi32 CI

* reinterpret_cast to const char* in dumpBufferToFile to be compatible with both const and non-const input pointers

* Add seed input to GeneratorTensor_4 for normal_distribution generator

* Add GetTypeString() for DeviceElementwiseImpl

* Add HIP_CHECK_ERROR macro

* Extend available elementwise operations with conv examples

* Fixes

* Remove not needed convert

* Update CMakeFile and dir name

* Avoid force setting ENABLE_PIPELINE_V2_OPT to OFF

* Remove compilation option variable MAX_ILP_OPTS

* save mean and inverse std in normalization

* Save mean and inverse std in splitK

* Vector save mean and inv std

* Modify instance for save mean and std

* simplify the layernorm example

* Save mean and std in groupnorm example

* Save mean and inv std in ckProfiler and test

* Remove compute data type from base class

* Save mean and inv std in client example

* Add changelog

* clang format

* Fix compile error

* Refine naming

* Avoid error in bf16

* revert changelog

Co-authored-by: Jing Zhang <jizha@amd.com>

* Add a condition to build fp8 instances

* simplified buffer_load/store

* add bfp8/fp8

* fixed

* remove all f8/bf8 condition include folder

* fixed cmake conditions

* fixed DTYPES=fp16/bfp16

* fix

* fixed buffer_load

* fixed buffer_store

* fix

* clean example cmake files

* fixed ci

* fixed cit

---------
Co-authored-by: Rostyslav Geyyer <rosty.geyyer@amd.com>
Co-authored-by: Jing Zhang <jizha@amd.com>

* add gridwise_multi_abd

* move element_op into RunRead

* merge element_wise op with data read

* add multiABD example

* allow packed elementwise_op

* changed example

* clean

* clean

* add is_detected

* fix

* minor fix

* add scaleAdd_vec4 example

* init commit for contraction_multi_ABD

* add examples

* add examples of multiA and broadcast

* update example

* fixed comments

* Update cmake-ck-dev.sh

* Update cmake-ck-dev.sh

* Add comments into the example

* Update CMakeLists.txt

---------
Co-authored-by: Jing Zhang <jizha@amd.com>

* add ab_elementwise

* fixed ci

* fixed a merge issue

* fixed pr comments

* fixed a conflict

* remove 61_example

---------
Co-authored-by: Jing Zhang <jizha@amd.com>

* Add grouped conv bwd weight wmma

* Update README, changelog, profiler

* Minor fixes

* Fix grouped conv bwd wei dl kernel

* Minor fixes

* Minor stylistic fixes

Co-authored-by: Jing Zhang <jizha@amd.com>

* add a hipTensor test to CI

* use jenkins git plugin

* change hipTensor folder location in CI

* change the git method for hipTensor

* run tests usign ctest

* check the hipTensor contents

* only build hipTensor on MI100/200

* pull hipTensor as zip archive

* fix jenkins syntax

* add path to the CK installation

* combine build commands into one shell

* change jenkins syntax for CK installer path

* try different syntax

* allow unzip overwrite

* fix jenkins file syntax

* remove any old versions of hipTensor before building

* add option to select hipTensor branch for testing

* Add ComputeType

* Update for compatibility

* Add instances

* Update profiler api

* add vector_type support into thread_copy_v3r1

* remove unncessary type_convert

* fixed datatype

* fixed dataType

* changed API with is_packx_invocable

* changed example

* add missing cmake file

* fixed ci

* fixed cmake

---------
Co-authored-by: Jing Zhang <jizha@amd.com>

Bumps [gitpython](https://github.com/gitpython-developers/GitPython) from 3.1.31 to 3.1.35.
- [Release notes](https://github.com/gitpython-developers/GitPython/releases)
- [Changelog](https://github.com/gitpython-developers/GitPython/blob/main/CHANGES)
- [Commits](https://github.com/gitpython-developers/GitPython/compare/3.1.31...3.1.35

)

---
updated-dependencies:
- dependency-name: gitpython
  dependency-type: indirect
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* simplified buffer_load/store

* add bfp8/fp8

* fixed

* fixed buffer_load

* fixed buffer_store

---------
Co-authored-by: Jing Zhang <jizha@amd.com>

This reverts commit a4f72a31.

* Introduce LocalBlockToCTileMap.

* Change the signature of CalculateBottomIndex() function which now does
not accept any argument. The B2C map which is already passed as an
argument to the kernel Run function is calculating block's local id
already outside at kernel entry point __global__ function.
The LocalB2C map stores as members local block ID.

* Use LocalBlockToCTile map in device ops.

* First draft of tile loop work distribution.

* Fix typo.

* Simplify kernel arguments.

Calculate descriptors & B2C maps on the device.

* Use looping kernel.

* Fix B2C constructor.

* Fix Navi21 errors.

* Calculate tile start/end in device kernel.

* Change Run API to accept user provided workspace buffer.

* Add new line at EOF.

* Move Gemm KernelArguments to device op interface.

* Remove unused code.

* Update API.

* Launch grid size which is min of occupancy vs tile count

* Get back to use constant memory for gemm descriptors.

* Remove unused code.

* Add default virtual method implementation.

* Update comments to conform with doxygen style.

* Fix doc style and unused parameters.

* Add thread cluster lengths to kernel name.

* Remove old splitk impl and replace it with tile looping one.

* Modify instances.

* set KPerBlock to 64
* maximize wherever possible vector load size.

* Fix instances cluster lengths.

* Change comment style.

* Use 128b store where possible in instances.

* Update test cases, since KPerBlock has doubled.

* Update output stream operator for Sequence.

* Add pipeline version to GroupedGEMM device op type string.

* Fix pipeline version type logging.

* Fix input tensors type after merge.

* Fix compiler error.

* Fix output stream operator for Pipeline version.

* Store using 128b.

* Set of instances with kpb 32/64

* Limit number of instances

* Remove commented out instances.

* Fix function name.

* Limit the number of instances.

Add pipline version to the regular instances

* Change thr cluster layout for reading B tensor.

* disabled failed instances

---------
Co-authored-by: Adam Osewski <aosewski@amd.com>
Co-authored-by: zjing14 <zhangjing14@gmail.com>
Co-authored-by: Jing Zhang <jizha@amd.com>

* workaround nan problem by changing output to fp16

* enable f8/bf8 gemm tests on MI200

* workaround f16 to f8 conversion

---------
Co-authored-by: Jing Zhang <jizha@amd.com>