GitLab

* add cppcheck to the CK CI

* fix the path to CK source for cppcheck

* fix the path to CK source for cppcheck one more time

* fix the path to CK source for cppcheck third time

* change the path to ck_cppcheck.log

* install latest cppcheck from source

* fix bug in ck.hpp and use 20 threads for cppcheck

* create a switch to turn cppckeck on and off in CI

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

* fix the gemm_splitk and grouped_gemm examples

SWDEV-439954 - Use hard coded filename rather than using the macro __FILE__ for debug prints. (#1123)

* SWDEV-439954 - Use hard coded filename rather than using the macro __FILE__ for debug prints.

Hiptensor library is using the header files from CK. Hard coded ROCm path was getting embedded into the hiptensor library, since the header file was having the macro __FILE__. Replace the macro with filename.

* fix syntax

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

* Add tensor partition and generic copy for ck wrapper

* Update changelog

* Stylistic fixes

* Change shape/strides logic to descriptor transforms

* Fixes

* Fix client example

* Fix comments

* enable compilation of INSTANCES_ONLY for Windows

* suppress ROCMChecks warnings on GoogleTests

* suppress -Wfloat-equal warning on GoogleTests

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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

* Add tensor structure to wrapper

* update changelog

* Fix names

* Comment fixes

* fix Werror unused-parameter

* sync doc requirements

* fix blank space format

* fix dependency issue

Current implementation of IsSupported method in contraction ops does not cover a lot of possible cases in which ScalarPerVector cannot really be used to read A, B or D, or write E.

This PR extends both the regular and multiABD contraction ops with improved checks and also adds new instances with smaller values of ScalarPerVector to support instances that are not supported by other instances.

* Support broadcast for bias in grouped conv fwd

* Fix comment

* Comment fixes

* Remove GK layout

* switch from ROCmSoftwarePlatform to ROCm org

* replace ROCmSoftwarePlatform with ROCm in few more places

* Introduce wrapper library

* Update cmake files

* Revert "Update cmake files"

This reverts commit c27f88b56590c11a88e26d5d0df7aca51a08133d.

* Fix comments

This PR introduces support for double buffering in LDS into GEMM kernels that use direct load instructions.

Direct loads now use inline asm instead of intrinsics. Usage of intrinsics results in compiler adding additional waitcnt instructions what breaks possible load/compute overlap in case of double buffering.

Usage of inline asm results in the need to use sched_barrier in order to make sure that compiler cannot incorrectly reschedule instructions since it does not know the data dependencies between global->LDS and LDS->registers.

* fixed examples; add async_mem_set

* add stream to all deviceOp using SetWorkspace

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

* Introduce wrapper for layout

* Extend functionality

* Fix for getLength

* Comment fixes

* Add comments and remove not needed getters

* 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>

* Switch default f8 conversion to stochastic rounding

* Refactor f8-related type_converts

* Add an element-wise op

* Add basic support for direct loads from global to LDS

* Clean the code and comments

* Add support for fp16

* Add comments

* Add check for thread cluster lengths

* Align non-direct-load fp16 example

* Small fixes

* Extend IsSupported to check for supported GPU gens

* Build examples only on the supported HW

* Do not throw when instance not supported in 04 example

* Review: Apply review suggestions

* Review: small fix

* Review: small fix

* improve 4k gemm perf

* add f8 instances

* format

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

* Log CDEBlockTransferScalarPerVector_NPerBlock in conv_fwd_multi_d_xdl implementation

* Log CDEBlockTransferScalarPerVector_NPerBlock in conv fwd multiD xdl

* Fix check for conv Fwd Filter1x1Pad0

* Fix check for conv Fwd Filter1x1Pad0

* Introduce multiABD api and deprecate multiD

* Replace multiD with multiABD

* Mark structures as deprecated

* Change doxygen deprecated to note to avoid warnings

* adding files for F32 example

* adding functioning implementation with scalar multiplication and unary operator support

* added fp 16 type check in unary square

* updating scalar multiplication as an operator

* functioning version with scalar operator

* changing strides for col major

* updated column major implementation

* working column major implementation

* cleaned up comments, rearranged/renamed files

* Support multi AB for grouped conv fwd xdl

* Add instances

* Add client example

* Add example

* Add interface test

* Minor fixes

Minor fixes

Minor fixes

* Comment fixes

* Fixes

* Reference fix

* Test xdl fixes

* Improve multi_ab interface test

* Add layernorm backward reference code

* Add groupnorm backward reference code

* Add example

* clang format

* Fixc bug of reference layernorm and groupnorm

* Fix naming

* Refine naming

* Add device op for normalization bwd gamma and beta

* Refine template parameter

* Add bwd gamma & beta of kernel

* 1. Add groupnorm example
2. Refine layernorm naming

* Narrow down the static check for performance

* Refine variable name

* 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>

* enable contraction fp64 on gfx94*

* fix the logic

* 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

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

* Add ScaleAddScaleAddRelu post op for conv fwd

* Fixes

* Fix instance file name

* Minor fix

* Enable gfx942 support for DeviceGemmXdl<> device op

* Enable gfx941 support for DeviceGemmXdl<> device op

* 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

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

* 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