GitLab

* Add basic documentation structure

* Add terminology placeholder

* Add codegen placeholder

* Create template for each page

* (2/5) bilinear gemm pass, perf bug: skip a lds has lower performance than skip b lds

* (3/5) batched gemm pass, perf bug: skip a lds has lower performance than skip b lds

* (4/5) grouped conv pass

* (5/5) attention pass, todo: debug lds perf bug

* AIT Attention API refactor (#8)

* sanity pass

* sanity pass 2

* confirm significant performance regression.

* turn on all instances

* turn off instance format

* Fix bug & tunning & format

* DML meta, self_attn+cross_attn

* sanity pass

* remove useless flag

* update tile and problem size used in AIT attention

* bug fix in grouped conv supporting check

* deprecate inline asm wmma

* Bug fix: double lds skip

* clang-format

* Fix errors in
1. example, fmha
2. gridwise pipeline
3. deviceop, fmha, change some containers from vector to array

* part2 of previous commit

* clang format

* API fix of gridwisegemmpipeline

* separate array base and vector base attention tensor transformation

* fix gemm

* clang format

* add gemm fp16 instances

* Temp save

* fpAintB kernel compile pass

* Sanity pass.

* Temp save

* debug code enabled

* Fp16AInt8B_GEMM sanity

* MQA implementation

* GQA-4 example

* tempsave

* Compile pass

* New implementation of fp16Aint8B Gemm, Acheieve similar math throughput with native fp16 Gemm

* 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

* initial navi4x enablement

* remove extra endif

* enabled dl_gemm

* update s_barrier and s_waitcnt for gfx12

* fix the gfx12 assembly syntax

* fixed block_sync_lds

* add support for more dl kernels on navi4

* add wmma

* format

* Todo: fix gemm_bilinear_wmma instances compilation bug

* Solve a bug when K1=16

* remove unnecessary changes

* Remove tensor layout limitation to LDS usage in tesnor contraction

* fixed block_sync_lds

* merge navi3_ref

* update self-attention and cross-attention

* fix a typo of name

* fixed layout

* debugging

* Add arch limiter for fp8 gemm

* fixed wmma

* enable fp8 gemm_xdl for all gfx9 targets

* temporarily disable gemm_xdl_fp16_fp8 on MI100/200

* fix the cmake logic for gemm_xdl_fp16_fp8

* fixed c_output

* re-enable the gemm_xdl_fp16_fp8 on MI100/200

* fixed gfx12

* fixed

* fixed

* seperate gfx12 blockwise_gemm

* fixed

* enable fwd conv on navi4x

* enable gridwise

* enabled gemm

* fixed merge

* remove empty example fold

* fixed conflicts

* some small changes

* Update cmake-ck-dev.sh

* Update cmake-ck-dev.sh

* enabled other types

* fixed register loads

* test fa

* enable gfx12

* clean up

* enable some instances on gfx12

* add gfx1201 macro in amd_wmma header

* fix clang format

* enable batched_gemm_softmax_gemm_perm_wmma for gfx12

* disable instances with blocksize=256 in attention examples

* debuggging

* debug

* fixed lds_enabled

* debugging

* Fix and add limit to skiplds feature

* Enable skipLds feature and fix compilation bugs

* add ck_tile definitions for gfx12

* fix clang format and test/wmma_op

* updage instances cmake for gfx12

* disable the test_wmma_op on gfx12

* fix the builds for gfx950

* add gfx12 and gfx950 to default target list

* clean-up cmake file

* Initial introduction of OFP8 data types.

* Renamed FP8 and BF8 tests into FP8_FNUZ and BF8_FNUZ.

* Implementation of ConvertFP32Nearest in test_fp8_ocp.

* Remove dependence on possibly undeclared alias.

* Implement FP8OCP test for stochastic rounding mode.

* Implement FP8OCP tests for half_t type conversions.

* enable bf16 atomic add on gfx950

* Implement ConvertFP32Nearest test.

* Implement ConvertFP32Stochastic test.

* Implement ConvertFP16Nearest and ConvertFP16Stochastic tests.

* Refactoring. Move FP8 definitions into a separate header file.

* Enable easy switching between architectures.

* Fix compilation error for gfx942 architecture.

* only builf gfx950 branch for gfx950 target by default

* Enable OCP build of example_gemm_xdl_fp8.

* Fix formatting.

* fix the build logic for gfx950

* Improve GEMM example verbosity.

* Add constexpr where applicable.

* fix the logic of enabling XDL and WMMA instances

* Improve GEMM example verbosity.

* Enable build of example_gemm_xdl_fp8_bf8 test.

* Fix tests for gfx1101 architecture.

* Build DPP examples only on gfx103 and gfx11 architectures.

* Optionaly run either CPU or GPU verifications with GEMM examples.

* Extend GeneratorTensor_Sequential to produce values of prescribed data types.

* Add missing constructor.

* Improve infrastructure for OFP8 data type support.

* BUGFIX. Should not use FP8 as Compute/Accum data type.

* Add custom target for grouped_convnd_bwd_weight tests.

* Can build `tests` target on gfx950.

* Bugfixes on gfx1101 architecture.

* Fix dependencies.

* Provide single point of truth for FP8 INF and NAN checks

* Prevent instantiation of operators that are not supported by FP8 data types

* Add FP8 type selection into client_axample CMakeLists.txt

* Prevent sccache server from shutting down during build

* Fix test success reporting logic

* Change default verification method to CPU.

GPU verification takes too much time to complete on the emulator.

* Make sure all tests and examples are built for gfx950

* Facilitate testing of FP8 data types on the emulator

* Introduce two new tensor generators

* Enable instances built for gfx94 to be built on gfx950

* Verify 35_splitk_gemm on floating point numbers.

splitk gemm appears to be losing precision VS reference implementation when FP numbers are involved.

* Verify 04_gemm_add_add_fastgelu on floating point numbers

* Verify 20_grouped_conv_bwd_weight on floating point numbers

* Verify 38_grouped_conv_bwd_data_multiple_d on floating point numbers

* Verify more tests on floating point data

* Fix data types and improve testing verbocity.

* Upgrade to NPI 573 build docker.

* Skip on gemm_universal tests.

The tests take too long to complete on the emulator.
Need to see if it is possible to reduce the scope of the testing to just FP8 data types.

* Fix gfx1101 build

* Document test availability

* Re-enable fp8 gemms for gfx94/95

* Cherry-pick GEMM Universal tests for FP8 data types

* Cleanup

* CK_USE_GFX94 has already been set on this branch

* Address formatting issues and leftovers

* Make fail/pass logic consistent within 01_gemm folder

Removed multiple negations in fail/pass logic to propagate `true` as the success indicator.

* Fix GPU verification reporting logic.

* Update year in copyright notice.

* Cleanup

* Use `enum class` instead of `enum`

* Remove set_property for FP8 tests

* Narrowing the scope of PR to OCP FP8 enablement only

* Add tests for OCP FP8 vector_type storage

* Enable gemm kernel on all gfx9 architectures (#227)

* clean-up

* Implement `non_native_vector_base` with `ext_vector_type` array. (#232)

* Enable support of 1, 2, 4, and 8-byte custom types in CK.

* Fix pool tests for OCP FP8 data type

* fix jenkins file

* restore cron trigger

---------
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: aska-0096 <haocwang@amd.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Jing Zhang <jizhan@amd.com>
Co-authored-by: zjing14 <zhangjing14@gmail.com>
Co-authored-by: Jun Liu <Liu.Jun@amd.com>
Co-authored-by: Andriy Roshchenko <andriy.roshchenko@amd.com>
Co-authored-by: Andriy Roshchenko <107577548+andriy-ca@users.noreply.github.com>

* Few small fixes.

* New GroupedGemm instances (BF16)

* Unify and refactor GroupedGEMM device API.

* Adapt changes to new API.

* Adapt grouped gemm profiler.

* Accept multiple kbatches for grouped gemm profiler.

- delete obsolete two stage as it is now covered by grouped gemm

* Update unit test for grouped gemm.

* Fix thresholds for BF16 and F8. Unblock tests.

* Fix few instances.

* Multiple small fixes.

* Adapt to new API, check dynamic casting.

* Uncomment few data types in grouped gemm profiler.

* Fix call to SetDeviceArgs.

* Fix profile grouped gemm multiply tile loop.

* Fix grouped gemm tile loop kernel args in client examples.

* Review comments.

* reduce the docker image size and layers

* clean up docker file

* fix linker error for client example 24

* install CK into the default /opt/rocm/ path

* restore installing CK to alternative path in CI

* add linking for utility lib

* Enable CMakePresets build

* Verify Convolution, Scaling and ReLU algorithms.

* Add tensor element-wise scale and type cast operation.

* Reduction implemented but does not work.

* Exploration of Reduction functionality.

* Completed example for Convolution scaled with ReLu activation and AMAX reduction.

* WIP: Add required instances for convolution.

* WIP: Create client example. Implement convolution stage.

* Add elementwise instances.

* Add elementwise scale + convert example.

* Add reduction instances.

* WIP: Client example for AMAX reduction.

* WIP: Add instances for multistage reduction.

* WIP: Implementation of multistage reduction.

* Refactoring.

* Clean up.

* Add CMakePresets.json

* Guard off FP8 instances when the data type is not available.

* Add example for Scaled FP8 Convolution with AMAX reduction.

* Refactor CombConvScaleRelu instances.

* Add CombConvScale instances.

* Add client example for Scaled FP8 Convolution with AMAX reduction.

* Cleanup.

Adding Instances and Examples for FP8-based Scaled Convolution with ReLU Activation and AMAX Reduction. (#1469)

* Enable CMakePresets build

* Verify Convolution, Scaling and ReLU algorithms.

* Add tensor element-wise scale and type cast operation.

* Reduction implemented but does not work.

* Exploration of Reduction functionality.

* Completed example for Convolution scaled with ReLu activation and AMAX reduction.

* WIP: Add required instances for convolution.

* WIP: Create client example. Implement convolution stage.

* Add elementwise instances.

* Add elementwise scale + convert example.

* Add reduction instances.

* WIP: Client example for AMAX reduction.

* WIP: Add instances for multistage reduction.

* WIP: Implementation of multistage reduction.

* Refactoring.

* Clean up.

* Guard off FP8 instances when the data type is not available.

* Improve output readability.

* Addressing reviewer's comments.

* replace buffer_atomic with global_atomic

* fixed global_atomic_add

* added bf16 atomic_add

* format

* clang-format-12

* clean

* clean

* add guards

* Update gtest.cmake

* enabled splitk_gemm_multi_d

* format

* add ckProfiler

* format

* fixed naming

* format

* clean

* clean

* add guards

* fix clang format

* format

* add kbatch printout

* clean

* Add rocm6.2 related gemm optimization

* Limit bf16 atomic usage

* remove redundant RCR gemm_universal instance

* Add RRR fp8 gemm universal instance

* Bug fix

* Add GPU_TARGET guard to FP8/BF8 target

* bug fix

* update cmake

* remove all fp8/bf8 example if arch not support

* Enable fp8 RRR support in ckProfiler

* limit greedy-reverse flag to gemm_universal in ckProfiler

---------
Co-authored-by: Jing Zhang <jizhan@fb.com>
Co-authored-by: Jing Zhang <jizhan@meta.com>
Co-authored-by: zjing14 <zhangjing14@gmail.com>
Co-authored-by: Illia Silin <98187287+illsilin@users.noreply.github.com>
Co-authored-by: illsilin <Illia.Silin@amd.com>

Adding more instances of grouped convolution 3d forward for FP8 with ConvScale+Bias element-wise operation. (#1412)

* Add CMakePresets configurations.

* Add binary elementwise ConvScaleAdd and an example.

* Numerical verification of results.

Observed significant irregularities in F8 to F32 type conversions:
```log
ConvScaleAdd: float=145.000000   f8_t=160.000000    e=144.000000
ConvScaleAdd: float=97.000000   f8_t=96.000000    e=104.000000
ConvScaleAdd: float=65.000000   f8_t=64.000000    e=72.000000
```

* Implemented ConvScaleAdd + Example.

* Add ConvScale+Bias Instances

* Add Client Example for ConvScale+Bias

* Fix number of bytes in an example..

* Cleanup.

Adding more instances of grouped convolution 3d forward for FP8 with ConvScale element-wise operation and ReLU activation. (#1386)

* Add CMakePresets configurations.

* Add ConvScale+ReLU Functor and an Example

* Account for ReLU FLOPs.

* Add instances of 3D convolutions with ConvscaleRelu operation.

* Implement Client Example

* Cleanup

* Add an example

* Add instances

* Add a client example

Add instances of grouped convolution 3d forward with a ConvScale element-wise op for bf8@bf8->fp8 (#1326)

We are adding more instances of grouped convolution 3d forward with a ConvScale element-wise operation.
This commit handles bf8@bf8->fp8 data types combination.

* Included an example.
* Added instances.
* Added a client example.

---------
Co-authored-by: Rostyslav Geyyer <rosty.geyyer@amd.com>
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com>

* switch to universal gemm in grouped gemm tile loop

* minor fixes

* add reviewers comments

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

* Add fp8 bf8 conv example

* Add instances

* Add client example

* Add random scale values

* Format

* 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>

* Move grouped conv fwd client examples

* Update existing examples

* Format

* code clean-up

* remove the profiling output samples

* 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.

* changed the copy function to v7r2

* adding multi_abd

* in-progress

* add post-load oob check

* Fix include statement.

* Fix output stream overloads.

* Do not make descriptors and check validity untill we find group.

* Fix gemm desc initialization.

* debugging

* adjust instances

* add run_lds

* add elemntwise_op

* replace multi_abd_device with v3

* clean up

* clean

* clean

* Revert device op

* Fix compilation for DTYPES=FP16

* Validate tensor transfers paramters.

* Added LDSType

* profiling

* adjust oobcheck

* add missing file

* Validate on host only NK dims if M is not known.

* add

* clean

* refactor

* clean

* add examples

* add fuse

* add fusion and client example

* 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.

* clean

---------
Co-authored-by: Adam Osewski <Adam.Osewski@amd.com>

* changed the copy function to v7r2

* adding multi_abd

* in-progress

* add post-load oob check

* debugging

* adjust instances

* add run_lds

* add elemntwise_op

* replace multi_abd_device with v3

* clean up

* clean

* clean

* Added LDSType

* profiling

* adjust oobcheck

* add missing file

* refactor

* clean

* add examples

* 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

* Add grouped conv bwd weight multi d kernel

* Reference fix

* Fix cmake files

* bwd weight scale only xdl

* Fixes

* Fix client conv fwd example

* added an example grouped_gemm_multi_abd

* fixed ci

* add setElementwiseOp

* changed API

* clean code: add multiA into example

* fixed v7r2 copy

* add transpose

* clean

* fixed vector_load check

* Update example/15_grouped_gemm/grouped_gemm_multi_abd_xdl_fixed_nk_bias_fp16.cpp
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com>

* Update example/15_grouped_gemm/grouped_gemm_multi_abd_xdl_fixed_nk_bias_fp16.cpp
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com>

* Update example/15_grouped_gemm/grouped_gemm_multi_abd_xdl_fixed_nk_bias_fp16.cpp
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com>

* Update include/ck/tensor_operation/gpu/grid/gridwise_gemm_multiple_abd_xdl_cshuffle.hpp
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com>

* Update include/ck/tensor_operation/gpu/grid/gridwise_gemm_multiple_abd_xdl_cshuffle.hpp
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com>

* Update include/ck/tensor_operation/gpu/device/device_grouped_gemm_multi_abd.hpp
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com>

* Update include/ck/tensor_operation/gpu/device/device_grouped_gemm_multi_abd.hpp
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com>

* Update include/ck/tensor_operation/gpu/device/device_grouped_gemm_multi_abd.hpp
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com>

* Update include/ck/tensor_operation/gpu/device/device_grouped_gemm_multi_abd.hpp
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com>

* Update include/ck/tensor_operation/gpu/device/device_grouped_gemm_multi_abd.hpp
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com>

* Update include/ck/tensor_operation/gpu/device/device_grouped_gemm_multi_abd.hpp
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com>

* Update include/ck/tensor_operation/gpu/device/device_grouped_gemm_multi_abd_fixed_nk.hpp
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com>

* Update include/ck/tensor_operation/gpu/device/device_grouped_gemm_multi_abd_fixed_nk.hpp
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com>

* add reduce

* testing

* add example_b16_i8

* refactor example

* clean

* add mpading

* disable reduce for kbatch = 1

* seperate reduce device op

* add reduce op

* add guard for workspace_size

* add instances

* format

* fixed

* add client example

* add a colmajor

* add instances

* Update cmake-ck-dev.sh

* Update profile_gemm_splitk.cpp

* Update gridwise_gemm_xdlops_v2r4r2.hpp

* format

* Update profile_gemm_splitk.cpp

* fixed

* fixed

* adjust test

* adjust precision loss

* adjust test

* fixed

* add bf16_i8 scale bias

* fixed scale

* fixed scale elementwise_op

* revert contraction deviceop changes

* fixed

* Add AddFastGelu

* Revert "Merge branch 'jizhan/gemm_splitk_reduce' into grouped_gemm_multi_abd_fixed_nk_example"

This reverts commit 3b5d001efd74335b38dcb7d8c8877580b49d23a4, reversing
changes made to 943199a99191661c5597c51ca8371a90bf57837e.

* add Scales into elementwise

* add gemm_multi_abd client example

* add client examples

* add rcr and crr

* add grouped gemm client example

* add grouped gemm client example

* add instance for rcr crr

* format

* fixed

* fixed cmake

* fixed

* fixed client_example

* format

* fixed contraction isSupport

* Update include/ck/tensor_operation/gpu/device/device_grouped_gemm_multi_abd_fixed_nk.hpp
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com>

* Update device_reduce_threadwise.hpp

* clean

* Fixes

* Fix example

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

* Add instances

* Add example

* Add profiler mode

* Add client example

* Update device op api to support BComputeType

* Add example

* Add instances

* Add profiler mode

* Add client example

* Update copyright year

* Add BComputeType check

* Fix compute types

* parse examples inside the add_example_executable function

* fix the example 64 cmake file

* add xdl flag to the gemm_bias_softmax_gemm_permute example

* add filtering of tests based on architecture type

* enable test_grouped_gemm for gfx9 only

* enable test_transpose only for gfx9

* only linnk test_transpose if it gets built

* split the gemm instances by architectures

* split gemm_bilinear,grouped_conv_bwd_weight instances by targets

* split instances by architecture

* split grouped_conv instances by architecture

* fix clang format

* fix the if-else logic in group_conv headers

* small fix for grouped convolution instances

* fix the grouped conv bwd weight dl instances

* fix client examples

* only enable client examples 3 and 4 on gfx9

* set the gfx9 macro

* make sure the architecture macros are set by cmake

* use separate set of xdl/wmma flags for host code

* sinmplify the main cmake file

* add conv_fwd_bf8 instance declaration

* Add bf8 conv fwd instances

* Add example

* Add profiler mode

* Add client example

* Fix copyright headers

* Format

* Add fp8 conv instances and client example

* Format

* Add example

* Update cmakelists

* Add profiler mode

* Format

* Fix copyright headers

* Add conv fwd/bwd data scale instances

* Fix cmake client example file

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

Style improvement: improving type alias usage consistency in gemm-related client examples. Also copyright year update for all client examples. (#1180)
Co-authored-by: Arseny Moskvichev <amoskvic@amd.com>

* add support for mixed precision bf16&int8 grouped gemm

* fix gfx versions and add bf16 kbatch condition

* added reviewers comments

* Add optimized blockwise gemm using ck wrapper

* Add basic gemm example

* Update docs

* Add tutorial for gemm using ck wrapper

* Add perf note

* edits

* Fix cmake

* Fixes

---------
Co-authored-by: Lisa Delaney <lisa.delaney@amd.com>

* Add layernorm bwd gamma beta external api

* Add groupnorm external api

* Add layernorm bwd gamma beta profiler

* Add groupnorm bwd gamma beta ckProfiler

* Add layernorm & groupnorm bwd gamma beta test

* Fix groupnorm bwd gamma beta profiler bug

* Layernorm bwd weight client example

* Groupnorm bwd weight client example

* clang format

* Remove useless header

* Let inv_std be positive

* Rename to num_bytes and move this calculation outside the loop

* Add optimized copy to ck wrapper

* Example optimizations

* Fixes

* Move img2col test to client example

* Refactor example

* Fix docs

* Fixes

* Fix

* Fixes

* Fixes

* Fixes

* Fixes

* Fixes

---------
Co-authored-by: zjing14 <zhangjing14@gmail.com>

* Remove index tensor

* fix syntax

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

* rename folder

* Add type string

* Remove typo

* Add deviceOp to backward x

* Add comment to describe the behavior of backward normalization

* Add kernel function, prepare to implement

* implement generic kernel

* Check vector size

* Add sweep once pipeline for small reduce size

* Fix bug of KRaw_ error

* Fix bug of dx stride

* sanity check for mean and rstd

* backward x for groupnorm

* Add bwd x instance

* add layernorm 2d bwd gamma beta instances

* Change save mean var type from f32 to f16 in f16 mode

* Change the example to f16

* Add groupnorm bwd gamma beta instance

* Add groupnorm bwd x instance

* Fix naming

* Add layernorm bwd x ckprofiler

* Add groupnorm bwd x profiler

* clang format

* Rename bwd x to bwd data

* Fix bug of verification in profiler

* Add test of layernorm and groupnorm bwd data

* Add missing cmake

* Add layernorm2d bwd data

* rename fwd example

* Add groupnorm client example

* Fix typo. replace Invarient with Invariant

* Add checking before running the best instance