* Some prep work for adding batched_gemm_wmma_universal. Moved batched_gemm in general to gfx11 and gfx12 categories, and split existing batched_gemm test into xdl and wmma versions. Updated profiler and instance factory. For now only adding f16-row-row-row-GemmDefault. For now actual device instance list is empty.
* Add DeviceBatchedGemm_Wmma_CShuffleV3 based on DeviceGemm_Wmma_CShuffleV3 and make sure it's used in the instance factory and tests. Currently the new batched device level struct cannot actually handle batching, but it does pass tests with a trivial batch size of 1, meaning that the overall structure is good.
* Add custom kernel and Argument type to DeviceBatchedGemm_Wmma_CShuffleV3. Batching arguments not passed to kernel yet.
* Implement kernel-level batching logic for DeviceBatchedGemm_Wmma_CShuffleV3. In principle the whole thing works now, just need to add other data types and perhaps do some cleanup.
* Add other layouts for batched gemm wmma chufflev3 f16 f16 f16. Now matching XDL (for f16).
* Add bf16 bf16 bf16 support for batched gemm wmma cshuffle v3 for all layouts.
* Fixup comments and TODOs
* Expand test cases for batched gemm wmma cshuffle v3 with more unusual shapes. Some of the original test cases for batched gemm do not work based on cshuffle v3 because the dimensions are too small.
* Fix argument order for calls to profile_batched_gemm_impl() ONLY in wmma tests.
* Take batching into account when using rotating memory or clearing the C tensor.
* Implement small refactors / comments etc. from review.
* Port recent gemm wmma updates to batched gemm wmma: V1 pipeline, non-main-k-block-loop, check compute type, packed buffer size calc. Ported new instance lists.
* Add MNKPadding instances to batched gemm wmma cshuffle v3, remove incompatible test problems.
* Put clearing the C matrix in a pre-process lambda for the non-flush case + small fixups.
* Once again switch order of strides and batch strides in calls to profile_batched_gemm_impl() from test_batched_gemm_wmma to match latest definition of that function.
---------
Co-authored-by: kiefer <kiefer.van.teutem@streamhpc.com>
* - elevate important build messages to log level STATUS
- comment out the rest (temporarily)
* - marked all low importance build messages as log_level=DEBUG
* Fixed cmake errors related to gemm_bilinear. Previously, if the above flags are set, cmake build fails: GPU_TARGETS="gfx1100;gfx1201" -D DTYPES="fp16;bf16;fp8"
* Fixed cmake build errors related to test_fp8
* Updates to support mixed precision
* Adding support for RRR, F8xF16xF16 gemm_universal_wmma - wip
* Added support for F8xF16xF16 to gemm_wmma_universal
* Added support for F16xF8xF16 to gemm_wmma_universal
* Added support for BF16xI4xBF16 to gemm_wmma_universal
* Added support for F16xI4xF16 to gemm_wmma_universal
* Fixed IsSupportedArgument to check ComputeTypeA, ComputeTypeB instead of ADataType, BDataType
* Added missing test class for FP16_KM_NK
* Pre-commit hooks fixes
* Added padding instances for f16xf16xf16
* Fixed cmake errors related to gemm_bilinear. Previously, if the above flags are set, cmake build fails: GPU_TARGETS="gfx1100;gfx1201" -D DTYPES="fp16;bf16;fp8"
* Fixed cmake build errors related to test_fp8
* Ammending changes for adding support for padding instances for f16xf16xf16
* Fixes for padding instances for f16xf16xf16
* Added padding instances for bf16xbf16, f8xf8
* Added packed instances for bf16xi4xbf16
* Added padding instances for f8xf16xf16
* Added padding instances for f16xf8xf16, f16xi4xf16
* Fixed typos for bf16xbf16xbf16 padding instances
* Fixed typos for padded instances
* Added tests for fp16, KM_KN and KM_NK
* Padding not supported for when BDataType is pk_i4_t. Added fix for correct check and removed padding instances.
* Fixed typos
* Updated the set of tests for FP16
* Updated the set of tests for FP16
* Fix typo
* Moved f16xi4 test under the correct data layout group
* example for gemm_universal_bf16
* Adding examples for gemm_wmma instances
* Added the missing parameters
* Fixed review comments and added executable to cmakeLists
* Fixing clang format
* Fixing build erros
* Fixed compilation failure.
* Modified some code as per gemm_universal_examples
* Fixed the gemm specialization error
* Fixed the build errors.
* Fix strides of a/b_thread_desc
The descriptors are larger than needed (even though the compiler don't alloc registers for unused values).
* Load in M/NRepeat dims with thread copy's slice instead of a loop
* Clone BlockwiseGemmXdlops_pipeline_v1 for WMMA implementation
* Implement Intrawave and Interwave variants of pipeline v1
* Add instances for Interwave and Intrawave v1
* Add instances with ABlockLdsExtraM and BBlockLdsExtraN = 0
* Remove instances that are too slow (mostly because of register spilling)
* Add a workaround for fp8/bf8->f32 packed conversion issue
* Add instances for Interwave and Intrawave v1
* Enable profiling of mixed precision with f8 and int4 on WMMA
* Fix segfault in profiler when B is pk_i4_t
b_device_buf's size in bytes is larger than b_k_n_permute so b_device_buf.ToDevice reads out-of-bounds.
* Remove instances that are too slow (mostly because of register spilling)
* Add missing add_device_gemm_wmma_universal_f8_f8_bf16 declarations
* Add test case for bf16_i4
* Add missing Regular tests
* Add test_gemm_universal_xdl/wmma_fp16 to REGRESSION_TESTS
They take more than 30 seconds
* Fix a bug that fp16_i4 validation passes only with PermuteB
A permutation required by conversion from pk_i4_t to half_t does not
depend on PermuteB, they can be used independently.
* Use PermuteB with f16_i4 in most instances (as xdl)
Some instances use PermuteB = false for checking correctness.
See also the previous commit.
* Fix cache flushing for pk_i4
* Add mixed precision examples
* Disable all tests and instances with f8 on gfx11
Even though f8_f16 and f16_f8 don't require f8 WMMA instructions,
gfx11 still lacks hardware instructions for fast f8->f32 conversion.
* Add FP16 KM_NK and KM_KN test suites for XDL
These tests were added to common .inc for better testing of WMMA instances
* Fix int8 DTYPES check for gemm_bilinear
---------
Co-authored-by: Anca Hamuraru <anca@streamhpc.com>
Co-authored-by: Apoorva Kalyani <apoorva@streamhpc.com>
* Prepare files for DeviceGemm_Wmma_CShuffleV3
* Implement main part of CShuffleV3 with block pipeline v3 for WMMA
* Remove unused functions and template params for A/B descriptors
* Support both gfx11 and gfx12
* Enable SplitK for gfx12 and disable for gfx11
* Added RowColRow layout for DeviceGemmV2 fp16
* Added more instances for Row, Col, Row data layout
* Added instances for DeviceGemm_Wmma_CShuffleV3, Col, Row, Row data layout
* Added instances for DeviceGemm_Wmma_CShuffleV3, Col, Col, Row data layout
* Added more instances for DeviceGemm_Wmma_CShuffleV3, Row, Row, Row data layout
* Fix formatting
* Add documentation
Based on e5ad48a784
* Enable gemm_universal profiling for gfx11/12
* Add WMMA intrinsics for F8/BF8
* Support F8/BF8 DeviceGemm_Wmma_CShuffleV3, add basic instances
* Add BF16 instances and tests
* Fix test_gemm_universal_wmma_fp8 by adding CK_USE_WMMA_FP8
---------
Co-authored-by: Anca Hamuraru <anca@streamhpc.com>
* Added two kernel for M=32 problem
* Comment the first one
* Enable multiply_multiply for Scale_Block_M = 1 for deepseek
* Modify the a_thread offset since the A data load is different from B.
* edit fp8 ab scale for Scale_Block_M=1
* edit GemmSpec to MNKPadding
* enable blockwise pipelie v1 and v2. v1 is work for small K.
* add instance for gemm_ab_scale
* fix cmakelist of ckProfiler
* optimize blockscale gemm. todo: reduce vgpr usage
* fix a correctness bug
* sanity checked
* revert ckprofiler cmake changes
* clang format
* revert unnecessary changes.
* remove commented codes.
* split weight preshuffle library targets
* bring back enable-post-misched=0
* fix build issues for gemm_multiply_multiply_fp8 instances
* fix clang format
* add verbose build flag when building for all targets
* reduce path names for new instances
* fix paths in cmake
* refactor gemm_multiply_multiply library target
* fix a bug in example
* fix example 65 cmake
* reduce the number of threads when building libs for all targets to 50
* use ninja to build for all targets
* reduce teh number of threads when building for all targets
* reduce the number of threads to 32 when building libs for all targets to 50
---------
Co-authored-by: mtgu0705 <mtgu@amd.com>
Co-authored-by: chenjun <junchen2@amd.com>
Co-authored-by: illsilin <Illia.Silin@amd.com>
Co-authored-by: Illia Silin <98187287+illsilin@users.noreply.github.com>
* tempsave
* temp save
* tempsave
* tempsave, epilogue optimization for universal gemm done. TODO: mulitpleD epilogue optimization
* temp save
* tempsave
* temp save
* update bf16 instance list
* clang format
* bug fix
* temp save
* tempsave
* revert exp changes.
* add blank line
* add int8 gemm multiply multiply a8w8
* uncomment
* clang-format-12
* Add example_gemm_multiply_multiply_xdl_int8
* Remove shell scripts
* update preprocess number for mi308; bring back printout in ckprofiler
* tempsave
* update ck_a8w8 library, update flush cache timing api
* remove the change in ckprofiler src
* clean the flush_cache api
* reduce prefetch stage in blockwisepipev4
* update tile size for fp8 rowwise
* fix bug in enable f8 gemm inside ckProfiler
* update instance and lds layout strategy
* delete use less files
* fix cmake bug
* update instances
* add configs to fix tunning cases
* port tiles from a8w8
* rm debug used files
* add instances
* remove all non gemm in cmake
* fix build
* sanity bug fix
* add bypass logic and build
* can run
* add double buffer scratch
* remove agpr usage when vgpr usage <256
* add configs to fix tunning cases
* fix build
* fix performance regression on blockgemm v3 pipe
* using develop branch timer
* impl fp16 in ckprofiler
* add cpu shuffle
* fix tail
* use empty hipstream in ckprofiler
* fix missed files and fix clang format
* fix fp16 build
* fix cmake rm compile options
* fix brepeat, kloop and lds two buffer; works ok now
* use new pipeline for b preshuffle, run ok; revert olds to fix ckprofiler
* auto calculate hard code params
* fix warnings and revert cmake and fix clang format
* tempsave
* sanity pass, most tile size enabled. TODO: NWave!=4
* disable N, K Padding, splitk enabled
* add fp16 instances
* use bpreshuffle as independent example
* refine weight preshuffle format.
* tempsave
* optimize software pipeline
* refine blockgemm pipeline version as base struct.
* fp8 add_rmsnorm_dynamic_dequant
* add save_x=true instance
* tempsave
* Add compute-friendly pipeline for bpreshuffle case; remove enable-post-misched=0 flag.
* fix Odd Mrepeat number pipelinev3; Add v3 instances to ckProfiler
* clean the code
* Merge from internal (#1857)
* 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.
* Add fp4 type with constants
* 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.
* Add scale type and mxfp conversions
* Update conversions
* Add conversion tests
* Fix typo
* 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.
* Add stochastic rounding tests
* 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.
* Add scale <-> float conversions
* Add scaled conversions with tests
* Add device conversions
* 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.
* Format
* 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.
* Add fp4 vectors
* Add debug tests
* 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.
* Add new mfma instructions and examples
* Add preprocessor directives for gfx950 specific code
* Fix gfx1101 build
* Document test availability
* Re-enable fp8 gemms for gfx94/95
* Cherry-pick GEMM Universal tests for FP8 data types
* Cleanup
* Add vector types and tests
* Add check_err function
* Add tensor generators
* CK_USE_GFX94 has already been set on this branch
* Fix
* 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
* Add vector conversions
* Fix
* Fix linker errror
* Clean up
* Fix gfx950 conversions
* Clean up
* Fix more gfx950 conversions
* Fix even more gfx950 conversions
* Narrowing the scope of PR to OCP FP8 enablement only
* Add tests for OCP FP8 vector_type storage
* Fix client examples build
* Fix typo
* Update e8m0 casting
* Rename E8M0 type
* Update unpack method
* Cleanup merge artifacts
* 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 build
* Add ckProfiler gemm instances for new mfma instructions and fix ckProfiler build on MI350
* fix clang format
* Add new mfma instructions and examples
* Add preprocessor directives for gfx950 specific code
* Add ckProfiler gemm instances for new mfma instructions and fix ckProfiler build on MI350
* fix clang format
* Fix clang format for the newly merged files
* Use the existing example instances for fp16 bf16 and int8
* Remove comment on new mfma instructions in MfmaInstr
* Update include/ck/tensor_operation/gpu/grid/gridwise_batched_gemm_gemm_xdl_cshuffle_v1.hpp
Co-authored-by: Andriy Roshchenko <107577548+andriy-ca@users.noreply.github.com>
* merge from public repo
* Fix ck build
* Fix ck build
* Use double for max_abs_in_val
* Move scaled_type_convert functions to a separate header (#251)
* re-enable building mha lib and gemm_universal_f8 instances for gfx950
* Update library/src/tensor_operation_instance/gpu/CMakeLists.txt
Co-authored-by: Andriy Roshchenko <107577548+andriy-ca@users.noreply.github.com>
* fix typo for CK_USE_OCP_FP8
* fix typo for CK_USE_OCP_FP8
* Add FP6 and BF6 types (#261)
* Add a rounding flag
* Add FP6 and BF6
* Add tests
Co-authored-by: Andriy Roshchenko <107577548+andriy-ca@users.noreply.github.com>
* Clean up
---------
Co-authored-by: Andriy Roshchenko <107577548+andriy-ca@users.noreply.github.com>
* fix one more typo
* Refactor E8M0 scale implementation (#262)
* Refactor E8M0 scale implementation
* Add MXFP6 and MXBF6 conversion methods (#270)
* Add conversions
* Add tests
* Add docstrings
* Add scaled conversions
* Add fp6/bf6 tests
* Remove misleading fp4 test case
* Add docstrings
* Clean up
* Address comments
* Set stricter tolerances for RNE tests
* Add missing tests
* Add native conversions to float
* Revert "Add native conversions to float"
This reverts commit 09467111f73b753c8cc3d597533b187940353dab.
* Update copyright years
* replace the fp6 with bf6 convert calls in test_bf6
* fix test_bf6
* enable smfmac test
* [MX FP8] Add Scaled Type Convert Functions for OCP FP8/BF8 data types (#271)
* Move scaled_type_convert functions to a separate header
* Introduce MX data tests
* Build MX tests only on relevant architectures
* Refactor E8M0 scale implementation
* Fix `config.h` typo
* Cleanup deprecated symbols
* Refactor `amd_ck_fp8.hpp`
* `scaled_type_convert` for `f8_ocp_t`
* Implement test for MX FP8 scaled type convert
* Implement test for MX BF8 scaled type convert
* Scaled type convert for vectors of 2 FP8 elements
* Scaled type convert for vectors of 16 FP8 elements
* Implementation of scaled conversion from F32 to F8
* Add tests for scaled conversions from FP32 to FP8
* Add documentation to the test functions
* Implementation of scaled conversion from F32x2 to F8x2
* Implementation of scaled conversion from F32x16 to F8x16
* Implementation of scaled conversion from F32x32 to F8x32
* Implementation of scaled conversion from F8x32 to F32x32
* Verified on the emulator
* MX FP GEMM - Example Template (#277)
Temporarily uses `DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3` kernel and 128x128 scaling matrices.
Must be modified to use MX-native GEMM kernell with 16 or 32 component vectors per scale.
Verified on the emulator.
* Add vector support
* Add tests
* Add missing type aliases
* Fix test naming
* only build mx example for gfx950
* disable CK_USE_AMD_MFMA_GFX950 by default
* fic build for multiple archs
* fix typo
* fix typo
* Update unpack signature
* Fix merge
* Add size checks in pack function
* Add a flag
* Add conversions
* Fix build logic
* Update pack/unpack methods
* Remove unneeded AsType accessors
* Add docstrings
* Add a flag to config file
* Test the functionality of V_MFMA_F32_16X16X128_F8F6F4 and V_MFMA_F32_32X32X64_F8F6F4 instructions. (#293)
* Introduced MFMA tests
* Verified f8f6f4 MFMA Instructions
* Move flag logic to scaled_type_convert header
* Use pointers instead of array indices
* Fix a typo
* Update tests and pack functions
* Fix gemm gemm on gfx950
* Fix clang format
* restore the default gput target lists
* fix the jenkinsfile
* add missing ifdef
---------
Co-authored-by: Jing Zhang <jizhan@amd.com>
Co-authored-by: aska-0096 <haocwang@amd.com>
Co-authored-by: Jun Liu <Liu.Jun@amd.com>
Co-authored-by: Andriy Roshchenko <andriy.roshchenko@amd.com>
Co-authored-by: Rostyslav Geyyer <rosty.geyyer@amd.com>
Co-authored-by: Rostyslav Geyyer <46627076+geyyer@users.noreply.github.com>
Co-authored-by: root <root@banff-cyxtera-s83-2.ctr.dcgpu>
Co-authored-by: Andriy Roshchenko <107577548+andriy-ca@users.noreply.github.com>
Co-authored-by: jefyang1 <146495389+jefyang1@users.noreply.github.com>
Co-authored-by: jefyang1 <Jeffreyj.Yang@amd.com>
* clang format
* fix errors
* fix errors
* remove compile flags in example
* fix error
* restore cron trigger (#1863)
* recover enable-post-misched=0 for sanity issue
* add vectorloads on non-k dim for memory pipelines (#1856)
* Support for dtypes (fp8, bf8, bf16 and fp16) for the ck_tile/03_gemm example. (#1845)
* Support bf16/fb8/bf8 datatypes for ck_tile/gemm
* remove commented out code.
* Addressing code review comments and enabling universal_gemm for all the supported data types.
* Merge conflict resolution.
* Solve the memory pipeline compilation error. Merge with the new change of CShuffle
* finish the feature, pass the tests
* Fix the pipeline and add the benchmark script for other data types
---------
Co-authored-by: ThomasNing <thomas.ning@amd.com>
* revert blockwisegemm modification
* revert blkgemm pipe v2 changes.
* CK Tile - small fix to hotloop scheduler & KPack value. (#1867)
* Use SmemPack in HotLoop scheduler
* Additional debug print information
* Change KPack value.
Hardcode for now, as without AK1/BK1 there's no good way to determine
its value.
* Fix HotLoopScheduler MFMA instr parameters.
* Add a host mx gemm reference kernel (#1864)
* Add mx gemm reference kernel
* Update copyright year
* Update mx gemm example
* Use element-wise ops in the reference gemm
* External CI: enable amd-develop branch trigger (#1859)
* Apply suggestions from code review
Co-authored-by: John Afaganis <john.afaganis@amd.com>
* hotfix for ckprofiler operator
* add the 16x16 mfma instances
---------
Co-authored-by: chenjun <junchen2@amd.com>
Co-authored-by: coderfeli <coderfeli@163.com>
Co-authored-by: Illia Silin <98187287+illsilin@users.noreply.github.com>
Co-authored-by: Jing Zhang <jizhan@amd.com>
Co-authored-by: Jun Liu <Liu.Jun@amd.com>
Co-authored-by: Andriy Roshchenko <andriy.roshchenko@amd.com>
Co-authored-by: Rostyslav Geyyer <rosty.geyyer@amd.com>
Co-authored-by: Rostyslav Geyyer <46627076+geyyer@users.noreply.github.com>
Co-authored-by: root <root@banff-cyxtera-s83-2.ctr.dcgpu>
Co-authored-by: Andriy Roshchenko <107577548+andriy-ca@users.noreply.github.com>
Co-authored-by: jefyang1 <146495389+jefyang1@users.noreply.github.com>
Co-authored-by: jefyang1 <Jeffreyj.Yang@amd.com>
Co-authored-by: jakpiase <jakub.piasecki@amd.com>
Co-authored-by: kylasa <sudhir.kylasa@amd.com>
Co-authored-by: ThomasNing <thomas.ning@amd.com>
Co-authored-by: Adam Osewski <19374865+aosewski@users.noreply.github.com>
Co-authored-by: Daniel Su <danielsu@amd.com>
Co-authored-by: John Afaganis <john.afaganis@amd.com>
* enable int4 scale (weight only) kernel
* format some files
* Add unit test for int4 weight only
* fixed and formatted code
* fixed
* formated
* formated
* fixed
* fixed a bug in the ckProfiler, and formatted the code
---------
Co-authored-by: mtgu0705 <mtgu@amd.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.
* add --offload-compress compiler flag
* only apply the --offload-compress flag to the ckProfiler
* move the --offload-compress flag back to main cmake file
* add offload-compress to target compile option of ckProfiler
---------
Co-authored-by: carlushuang <carlus.huang@amd.com>
* add ab_scale init support
* enabled interwave
* add scale type; update isSupport
* adjust example
* clean
* enable f8 pure gemm rcr ckprofiler
* Add gemm_multiply_multiply instances
* clang format
* Optimize for ScaleBlockMNK=128
* enable abscale f8 gemm ck profiler
* Add pure f8 gemm test suite
* Reverting to the state of project at f60fd77
* update copyright
* clang format
* update copyright
---------
Co-authored-by: root <jizhan@amd.com>
* init for reduce_threadwise multi_d
* add reduce_threadwise_multi_d
* add reduce_multi_d
* clean
* start add an other splitk device op
* add reduce template parameter to SplitKBatchOffset
* add reduce c matrix
* clean up code
* change example data type to bf16
* add bf16Ai8B example
* remove reduce template parameter
* add splitk atomic status to v4
* example add multi d parameters
* device op add multi-d parameters
* add multi-d to reduce
* fix kbach=1 bug
* change B layout to col in bf16Ai8B example
* remove float adding struct
* change multi-d interface
* change file and class name
* remove multi-d of bf16Ai8B example
* change IsReduce function to IsReduceAdd
* change example layout to RRR from RCR
* according layout to set ds stride
* reset parameter layout
* add gemm universal reduce instance
* add reduce factory
* add profile_gemm_universal_reduce
* add reduce to profiler
* fix reduce instance
* fix profiler reduce compiling bug
* format
* format library instance code
* add mem instance for reduce library
* fix call instance names
* add workspace for reduce in ckProfiler
* format
* add mnpading to reduce library instance
* add fp16 instance to reduce of profiler
* change copyright time
* restore profiler cmake file
* add reduce text to instances
* add DsLayout and DsDataType to instances template parameter
* fixed gemm_reduce_multi_d
* add an example without multi_d
* Update common.hpp
* Update gtest.cmake
* Update gemm_xdl_splitk_reduce_bf16.cpp
* clean
* Update gtest.cmake
* format
* fixe api
* format
* default parameter change to RRR
* add vector_len for multi_d
* format
* Update gtest.cmake
* fix bf16A iBB elementwiseop
* add ReduceDataType
* move ReduceDataType to end position
* format
* remove googletest git method address
* fix copyright time
* update init data
---------
Co-authored-by: root <jizhan@amd.com>
Co-authored-by: letaoqin <letaoqin@amd.com>
Co-authored-by: Jing Zhang <jizhan@meta.com>
Co-authored-by: zjing14 <zhangjing14@gmail.com>
* universal streamk with atomics with ckprofiler support. grid_size and streamk strategy are tunable. grid_size of -1 leads to #WGs = maximum occupancy X num_CUs. implementation supports many different streamk policies: 1-tile, 2-tile, 3-tile and 4-tile. streamk strategy of -1 leads to default streamk policy (4-tile).
* Update README.md
* fixing clang-format issues
* removed conflicts in struct members between streamk and universal streamk
* corrected arg parsing for streamk and universal streamk
* added stream-k policies for 3 tile and 4 tile
* fixed argument type issue with parsing cmd args
* changes suggested in PR review are made- removing comments and correcting copyright
* file permissions updated
* added default value support for grid_size and streamk-policy selection set to -1
* print messages for arguments
* print messages for arguments
* print messages for arguments1
* 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.
* 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>
* 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
* 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
* 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>
* Add column to image kernel
* Minor fixes for dtypes and client examples
* Disable tests for disabled dtypes
* Disable add instances functions for disabled data types
* Minor stylistic fixes
* Revert "Disable add instances functions for disabled data types"
This reverts commit 728b869563.
* Instances reduction
* Add comments in device_column_to_image_impl
* Update changelog and Copyrights
* Improve changelog
* Add image to column kernel
* Add instances, tests, profiler, example
* Add client example
* Several fixes of image to column
* Fix variable name in device_image_to_column_impl
* Several fixes of image to column profiler
* Fix num_btype calculation
* Make new mesaurements for correct bytes calculation
* Add maxpool instances
* Rename index pool to max pool.
* Add maxpool bwd bf16 instances
* Add avg pool bwd instances
* Rename avgpool and maxpool to avg_pool3d and max_pool
* Add bf16 pool fwd instances
* Add max pool bwd to ckProfiler
* Add avg pool3d bwd to ckProfiler
* Add avg pool bwd test
* Fix bug of reference pool fwd (dilation)
* Fix bug of max pool bwd (dilation and initZero)
* Support bf16 compute data type
* Force compute type be f32. Because atomicAdd only support f32
* Add max pool bwd test
* Rename folder
* Rename pool
* Add max pool bwd client example
* Add avg pool bwd client example
* Add missing workspace
* clang format
* Rename macro
* remove useless header
* remove useless layout
* Do not hardcode stride
* devicePool2DFwd Inherit devicePool3DFwd
* Move instance declaration out of common
* Add dilation
* use the pool3d rank, because pool2d inherit pooo3d
* calculate Do Ho Wo for the dilation
* Fix header name
* Modify ckProfiler
* Remove pool2d instance
* Remove pool2d in profiler
* Remove pool2d and add dilation
* In to client example, this commit revise following:
1. Add dilation.
2. Use pool3d to implement pool2d
* Refine naming and IsSupportedArgument()
* Add dilation to maxpool bwd example
* clang format
* 1. Remove useless header
2. Fix copyright
3. Refine naming
* Add layout parameter to pool fwd
* clang format
* Fix merge error
* Fix compile error
* Remove layout parameter in derived class
* Refine changlog
* Fix compile error
* Fix compiler error
* Add layout to external api and profiler
* properly split conv_nd_bwd_data instances
* split conv2d_fwd instance data types
* split the gemm, conv2d_fwd and batched_gemm_softamx_gemm
* split the tests by data types where possible
* filter examples by DTYPES
* split few remaining examples by DTYPES
* filter most instances by DTYPES
* add new lines at end of headers, fix grouped_gemm profiler
* fix syntax
* split the ckprofiler instances by DTYPES
* split the conv2d and quantization DL and XDL instances
* fix the splitting of conv2d DL instances
* split softmax and pool_fwd tests for fp16 and fp32 types
* fix syntax
* fix the dl_int8 quantization instances isolation
