- Add multiple A and B support to multiple D implementation (gridwise level)
- Add multi_abd GEMM (device level)
- Add instances (xdl parity)
- Add tests (both xdl and wmma)
- Add examples
- Add ckProfiler support (both xdl and wmma)
* enable the persistent kernel for CompV4
* polish the example and clang format
* fix the non-persistent kernel error
---------
Co-authored-by: ThomasNing <thomasning@amd.com>
Resolves R_X86_64_32 relocation out of range errors in grouped conv2d instances
by splitting debug information into separate .dwo files.
Add explicit cast to avoid signed/unsigned comparison warning.
* something khushbu can help with
* v1 v2 works with flatmm develop
* v0 v1 v2 numerical error gone
* Fixing numerical error, and interchange preshuffle configs to match with flatmm
* Refactor GEMM pipeline configurations and integrate preshuffle support
- Updated preshuffle pipeline definitions to include multiple versions (V1, V2, V3).
- Changed the pipeline constant from CK_TILE_PIPELINE_PRESHUFFLE to CK_TILE_PIPELINE_PRESHUFFLE_V3 in relevant configurations.
- Removed obsolete code and comments
* clang format
* fix vectorloadsize bug
* add the Preshuffle3
* update kwarp calculation in gemm utils
* update vector size A and B correctly in V2 pipeline; Added few more changes to align with dteng's branch
* fix: add CK_GFX950_SUPPORT macro for gfx950 detection
* default disable rotating buffer
* docs(CHANGELOG): update changelog for rocm 7.0
* Revert "docs(CHANGELOG): update changelog for rocm 7.0"
This reverts commit 2bc16fff84.
* Remove unused Preshuffle V3 pipeline and related code; update gemm function to use Preshuffle V2; clean up comments and formatting in various files.
* revert example/ck_tile/flatmm to its original state
* remove comment added by second author
* switch to xor ALDSDescriptor
* modify the MakeALdsDescriptor()
* temporary profiling script
* getting rid of line marker compiler error
* UniversalWeightPreshufflePipelineAgBgCrPolicy now derives from UniversalGemmBasePolicy
* add a minor fix for the config
* typo fix
* Fix formatting in lambda function for WeightPreshufflePipelineAGmemBGmemCRegV2
* revert change in include/ck_tile/ops/flatmm/pipeline/flatmm_pipeline_agmem_bgmem_creg_v1.hpp
* revert change in include/ck_tile/core/arch/amd_buffer_addressing.hpp
* reenable the GemmSpatiallyLocalTilePartitioner
* make GemmConfigPreshuffle_1 for v1 pipeline, GemmConfigPreshuffle_2 for v2 pipeline
* remove hardcoded true for preshuffle bool template argument
* rename script
* remove gemm_profilie.sh script
* merge conflict resolve
* clang formatted
* typo fix
* Remove duplicate include of block_gemm_areg_bsmem_creg_v2r1.hpp in gemm.hpp
* Remove commented-out code in UniversalWeightPreshufflePipelineAgBgCrPolicy
* Fix missing newline at end of file in run_gemm_example.inc
* Remove unused barrier call in BlockWeightPreshuffleASmemBSmemCRegV1
* addressing review comments
* removing debug code
* addressing review comments
* Revert "addressing review comments"
This reverts commit 29c45192ba.
* updating tile_engine code
* addressing review comments
---------
Co-authored-by: amd-khushbu <khuagarw@amd.com>
Co-authored-by: ThomasNing <thomas.ning@amd.com>
* Split-K autodeduction for DeviceGroupedConvBwdWeight_Xdl_CShuffle and DeviceGroupedConvBwdWeight_Xdl_CShuffleV3.
* Split-K autodeduction for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle.
* Use simple best occupancy model to calculate the split-K.
* Handle split-K autodeduction in explicit gemm conv.
* Add unit tests for split-K autodeduction.
* Remove oversubscription.
* Small fixes.
* Added split-K autodeduction for DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle.
* Run clang formatting.
* Fix error handling in the conv profiler.
* Add missing documentation for the autodeducted split-K values.
* Add split-K autodeduction to DeviceGroupedConvBwdWeight_Explicit_Xdl solver.
* Fix clang formatting and split-K profiler documentation.
* Rename max_occupancy value variable.
* Calculate grid size for split-K autodeduction directly from input array shapes and template params.
---------
Co-authored-by: Ville Pietilä <>
* Add tests for host convesion f32/f16 to f8
* Add tests for host convesion from f8 to f32/f16
* Fix UB and corner cases in f32/f16 to/from f8 conversion
* There are UBs when very small values are converted to f8: bitshifts
can be larger that type width. Using unsigned long long does not help
because exponent_diff >= 64 in such cases. This causes that values
like 2.117582368e-22 are converted to non-zero f8 in host validation
of FMHA tests, test_f8 crashes with segfault in completely irrelevant
code like GTest internals or produces non-deterministic results etc.
* Fix FNUZ conversion to return NaN for NaN inputs.
* Fix compilation error (due to uint8_t << 8) in OCP e5m2 to f16
conversion.
* Replace some magic numbers with values from numeric_traits
* Build tests only on devices supporting the type
* update gpu_timer for rotating buffer as hipblasLt's implementation
* timing fix
* Updating gpu timer for old ck as well
* Revert "Updating gpu timer for old ck as well"
This reverts commit 958cd1bc99.
* code clean up with runtime argument; function rename
* code cleanup
* general timer fixes
* bug fix
* clang formatted
* addressing reveiew comments
* clang formatted
* Addressing review comments
* CI fix
---------
Co-authored-by: Po Yen Chen <PoYen.Chen@amd.com>
* Expand the bandwidth of direct_global_to_lds for gfx950
* clang-format
* fix the remod.py and script for clang format
---------
Co-authored-by: Max Podkorytov <4273004+tenpercent@users.noreply.github.com>
* unify pipeline signature with existing example
* iwyu
* move stuff around in load-tile-transpose
* cleanups in batched transpose pipeline
* comments
* use same inputs size
* cleaner printf
* print host args
* use 64 block sides in the 37_transpose example
* roll back grid dimension size adjustment for 37_transpose example
* transpose grid for 37_transpose to unify with 35_batched_transpose
* unify grid computation logic
* make policy methods device only (since they are used only on device from the pipeline)
* more host/device attribute cleanups
* copy over problem
* move over pipeline and policy
* add switch to batched transpose api
* make the lds problem more similar to original problem
* factor out logic into traits
* factor out conditional compilation into trait parameter
* propagate pipeline to args
* unhardcode pipeline dispatch parameter
* refactor vector size
* put warp tile out of dispatch
* rename template parameter for trait
* rewrite vector size in terms of problem
* mark policy-internal struct variable as device
* factor out input distribution and thread access pattern from policies
* reword vector size
* use datatype across batched transpose pipelines, problems and kernel
* remove transpose traits from lds pipeline
* add padding to the lds pipeline *interface*
* add comment
* remove ck_tile example #37
* update cmakelists
* add test for new pipeline
* update batched transpose test
* roll back load_tile_transpose changes
* remove comments
* pack dispatch parameters into a config
* padM can be enabled
* adjust lds vector size to enable padding along N
* update test
* clean up logic
* swap m/n input vector size
* adjust perf test script
* sweep over C/W in perf test
* count both read and written bytes into bandwidth (x2 the number)
* clang-format
* widen size range for perf test
* remove 64k x 64k case; it's too large for index
* remove thread tile from dispatch
* Solve merge conflict
* fix compile
* modify the transpose
* solve the test error and clang format
* Add v3 support for Groupd fwd conv+bias+clamp & ckProfiler (#2463)
* Add logging to IsSupported.
* Less casting in AddClamp
* Conv+bias+clamp instances & profiler BF16
* Fix 3D instances & run just 1x for verification.
* :Run just once for verification conv fwd.
* ckProfiler conv fwd clampwq
* Remove exec bit & formatting
* Add support for MultiD for grouped conv fwd v3.
* Enable 2Lds.
* clean
* align instances
* align instances
* profiler fixes
* Fixes
* fix
* fix
---------
Co-authored-by: Adam Osewski <root@quanta-ccs-aus-f01-19.cs-aus.dcgpu>
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com>
* Fixing 0ms and inf GB/s issue in img2col (#2565)
issue :
====
``` sh
$ bin/tile_example_img2col
Perf: 0 ms, inf GB/s
```
solution :
======
Problem occured because config.time_kernel is false by default.
if false, then no need to calculate perf, just print proper message
`image_to_coloumn: pass, No Perf generated due to config.time_kernel=0`
* merge with develop
* solve clang format
---------
Co-authored-by: ThomasNing <thomas.ning@amd.com>
Co-authored-by: Adam Osewski <19374865+aosewski@users.noreply.github.com>
Co-authored-by: Adam Osewski <root@quanta-ccs-aus-f01-19.cs-aus.dcgpu>
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com>
Co-authored-by: rahjain-amd <Rahul.Jain@amd.com>
