GitLab

* Add instances

* Add example

* Add profiler mode

* Add client example

* Extend support for contraction up to 5D

* Extend contraction bilinear instances

* Fix interface test

* Add 6d support, remove 3d,4d,5d

* Fixes

* Fix readme

* Make defualt dim for contraction instances

* Support A/B/C elementwise ops.

* First part of GGEMM multiD splitk two stage.

* WIP - changes for debuggin.

* tmp save

* working version

* added bf16@int8 version

* fixes

* add reviewers sugestions

* pre-commited missing files

* switched to ifs from elseifs

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

* 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

* Introduce combined elementwise ops

* Introduce refrence elementwise

* 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 elementwise with dynamic vector dim

* Reduce number of instaces

* Fixes

* Fixes

* 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

* clip fp8 to +/-240 on all targets

* if inputs to fp8 conversion are +/-inf, they remain unaltered

* increase tolerance for test_elementwise_layernorm to prevent false errors

* change the input values for gemm examples to floats

* reduce gemm example float input values to prevent errors

* increase the tolerance for gemm examples

* add support for mixed precision bf16&int8 grouped gemm

* fix gfx versions and add bf16 kbatch condition

* added reviewers comments

* Extend permute scale support up to 6D

* Fixes

* Fixes

* Update profiler/README.md
Co-authored-by: Lisa <lisajdelaney@gmail.com>

* Update profiler/README.md
Co-authored-by: Lisa <lisajdelaney@gmail.com>

* Update profiler/README.md
Co-authored-by: Lisa <lisajdelaney@gmail.com>

* Update profiler/README.md
Co-authored-by: Lisa <lisajdelaney@gmail.com>

* Update profiler/README.md
Co-authored-by: Lisa <lisajdelaney@gmail.com>

* Update profiler/README.md
Co-authored-by: Lisa <lisajdelaney@gmail.com>

* Update profiler/README.md
Co-authored-by: Lisa <lisajdelaney@gmail.com>

---------
Co-authored-by: Lisa <lisajdelaney@gmail.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

* fix cppcheck errors, first pass

* fix format

* fix returned value in examples

* add macro definitions for cppcheck

* fix the profile_gemm logic

* update the gemm profiler logic

* add more difinitions to cppcheck, fix couple more errors

* replace runtime error with message in device function

* fix a couple of int4 issues

* no return for fill function

* fix errors in data_types.hpp

* fix format

* fix few remaining errors

* fix errors in data_types.hpp

* fix last couple of errors in datat_types.hpp

* Optimize GEMM on MI200/300:
1. Add new blockwise gemm pipeline
2. Add irregular splitk intances

* clang format + typo fix

* Fix a bug

* allow setting the number of warmup cycles and iterations for profiler

* fix the gemm_splitk and grouped_gemm examples

* added working example for 5D input using 1D kernel

* example with 5D input tensor and 2d kernel - not working: issues with arguments

* added updated version of 3d device op - changed descriptors/dims

* added example file to check kernel

* fixed descriptor and isSupportedArgument stride problem

* added and modified kernel for 3d - updated tids/loop

* adding some more 5d example files

* fixed some issues

* changes made for testing

* working version: fixed error in stride for A, still a bit inefficient

* cleaned up formatting/comments

* updating formatting

* more formatting fixes

* fixing cmake, adding back gpu targets in cmake script

* adding client example

* added instances for client example

* fixed errors in client example

* implemented client ex with device_elementwise.hpp and device_elementwise_3d_impl.hpp

* removed extra files

* minor formatting and naming fixes

* adding test files and profiler

* fixing minor error

* minor fix

* removed unneccesary comments, renamed files

* updated instance list for client example, added different layout example

* removing instances

* fixed error in instance generation

* remove comments

* update profiler and client example tensor layouts

* fixed errors in test/profiler

* updated vector dim access to enable vector load

* updated test/profiler files

* updated example with 1d kernel

* updating profiler

* renamed files

* disabled device op for MI300

* skip  elementwise_permute_2d on gfx94x

* Update CMakeLists.txt

* fixing CMake - disabling some GPU targets

* added transpose profiler to CMake

* fixed transpose profiler errors

* fixed instances for tests/profiler

* cleaned up code in transpose profiler source code

* added some comments, updated copyright

* made function arguments const where possible

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

* enable compilation of INSTANCES_ONLY for Windows

* suppress ROCMChecks warnings on GoogleTests

* suppress -Wfloat-equal warning on GoogleTests

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

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

* added working example for 5D input using 1D kernel

* example with 5D input tensor and 2d kernel - not working: issues with arguments

* added updated version of 3d device op - changed descriptors/dims

* added example file to check kernel

* fixed descriptor and isSupportedArgument stride problem

* added and modified kernel for 3d - updated tids/loop

* adding some more 5d example files

* fixed some issues

* changes made for testing

* working version: fixed error in stride for A, still a bit inefficient

* cleaned up formatting/comments

* updating formatting

* more formatting fixes

* fixing cmake, adding back gpu targets in cmake script

* adding client example

* added instances for client example

* fixed errors in client example

* implemented client ex with device_elementwise.hpp and device_elementwise_3d_impl.hpp

* removed extra files

* minor formatting and naming fixes

* adding test files and profiler

* fixing minor error

* minor fix

* removed unneccesary comments, renamed files

* updated instance list for client example, added different layout example

* removing instances

* fixed error in instance generation

* remove comments

* update profiler and client example tensor layouts

* fixed errors in test/profiler

* updated vector dim access to enable vector load

* updated test/profiler files

* updated example with 1d kernel

* updating profiler

* renamed files

* disabled device op for MI300

* skip  elementwise_permute_2d on gfx94x

* Update CMakeLists.txt

* fixing CMake - disabling some GPU targets

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

* improve 4k gemm perf

* add f8 instances

* format

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

* Introduce multiABD api and deprecate multiD

* Replace multiD with multiABD

* Mark structures as deprecated

* Change doxygen deprecated to note to avoid warnings

* add more instances for bfp16

* reduce the gemm input values to prevent round-off errors

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

* added working example for 5D input using 1D kernel

* example with 5D input tensor and 2d kernel - not working: issues with arguments

* added updated version of 3d device op - changed descriptors/dims

* added example file to check kernel

* fixed descriptor and isSupportedArgument stride problem

* added and modified kernel for 3d - updated tids/loop

* adding some more 5d example files

* fixed some issues

* changes made for testing

* working version: fixed error in stride for A, still a bit inefficient

* cleaned up formatting/comments

* updating formatting

* more formatting fixes

* fixing cmake, adding back gpu targets in cmake script

* adding client example

* added instances for client example

* fixed errors in client example

* implemented client ex with device_elementwise.hpp and device_elementwise_3d_impl.hpp

* removed extra files

* minor formatting and naming fixes

* adding test files and profiler

* fixing minor error

* minor fix

* removed unneccesary comments, renamed files

* updated instance list for client example, added different layout example

* removing instances

* fixed error in instance generation

* remove comments

* update profiler and client example tensor layouts

* fixed errors in test/profiler

* updated vector dim access to enable vector load

* updated test/profiler files

* updated example with 1d kernel

* updating profiler

* renamed files

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

* Rename folder

* Add layernorm 4d fwd example

* Rename original layernorm example

* Add layernorm 4d f16  test

* Add layernorm4d_fwd client example

* Support layernorm4D in ckProfiler

* Rename groupnorm to groupnorm fwd in example

* Rename layernorm and group fwd in test

* Rename normalization to normalization_fwd (instances)

* Add fwd to DeviceNormalization

* Rename external api header

* Rename folder, because we can also add bwd in this folder

* Add fwd in layernorm and groupnorm (profiler

* Fix compile error

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

* improve kpad

* more tuning parameters

* f16_f8_fp16

* cut test time

* add f16_f8_fp16

* add f16_f8_f16

* testing instances for skinny cases

* format

* clean

* add fp16_f8_fp16

* clang-format

* add grouped gemm instalces

* fixed profile grouped_gemm

* clean

* clean

* clean

* clean

* clean

* add missing instance func

* fixed inferface

---------
Co-authored-by: Jing Zhang <jizha@amd.com>
Co-authored-by: root <root@sh5-1e707-rc06-38.mkm.dcgpu>

* Add support for mixed precision in contraction scale and bilinear (#936)

* Extract common functionality to separate files

* Reference contraction: Remove incorrect consts from type_converts

* Reference contraction: Add missing type_convert for dst value

* Reference contraction: Fix incorrect order of B matrix dimensions

* Add support for mixed precision in contraction scale and bilinear

* Move using statements from instances to a common file

* Move using statements from examples to a common file

* Fix the order of B matrix dimensions across examples and profiler

* Fix the computation of error threshold

* Make ComputeDataType an optional argument

* Include possible DataType -> ComputeDataType casting error in the threshold

* Remove commented code

* Make the ComputeDataType an optional argument in instance

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

* Add support for groups in Img2Col/Col2Img

* Fix interface test

* Fix interface test G to N

* Improve performance

* Change gemm layout to 3d

* Fixes

* Fix the fp8 conversion

* Try clipping value before conversion

* Fix return

* Simplify with a const

* reduce the gemm input tensor values to reduce round-off error

* replace if-else with lambda

* fix syntax

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

* 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

* 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 grouped conv bwd weight wmma

* Update README, changelog, profiler

* Minor fixes

* Fix grouped conv bwd wei dl kernel

* Minor fixes

* Minor stylistic fixes

* Add ComputeType

* Update for compatibility

* Add instances

* Update profiler api

* Revert "Add support for mixed precision in contraction scale and bilinear (#936)"

This reverts commit f0748506.

* revert commits #957 and #960