* Elementwise kernel implementation
Co-authored-by: Sami Aario <samaario@amd.com>
Co-authored-by: Mohsen Saffari <mohsen.saffari@amd.com>
Co-authored-by: yashagar <yashagar@amd.com>
* Elementwise with generalized nDims
* Adding the n-ary input tensor feature
* Generalize dimensions on top of inputs
* Add TFLOPS + remove std usage for tuples
* 1D basecase optimization
* Cleanup code + refactoring to a common interface
* Generalize to unary and add an example
* Cleanup, refactoring and commenting
* Suggestions for LWPCK-3170: elementwise kernel improvements
* Clang-format: remod.py
* Replace InputTensorType with XDataType as the type of input_tensors
* Add Tuple::apply and use it in ElementWiseKernel::operator to call operation with the exact number of arguments in xs
* Move examples to folder 19_elementwise
* Add missing copyright headers and fix some existing ones
* Replace an assert with throw std::runtime_error in elementwise example
* Avoid reading the output by using make_static_distributed_tensor for y_tile
* Removed two unused includes
* No need to move windows to the next block when each workgroup processes a single tile
* Only copy input tensors to the device
* Use get_warp_size to obtain warp size, and use ceiling division for grid size also for the unary example
* Adding output strides to the kernel, transposition example and update the other examples
* Changes made by remod.py
* Use default template parameter values for memory operation and coherence in a call to make_naive_tensor_view
* Move binary operations to include/ck_tile/ops/elementwise/binary_elementwise_operation.hpp
* Reuse generic reference binary/unary operation in examples + refactoring the transpose reference
* Fix comments in elementwise_example.cpp
- Refer to AMD terminology except when suggesting NVIDIA alternatives in parentheses
- ElementWiseTraits was renamed to ElementWiseShape
- Adopt suggestions made by Copilot when prompted to check for factual or typographical errors
* Simplify CMakeLists.txt and remove the unused variables this uncovers
* Rename a file and fix some copyright statements
* Changes made by script/clang-format-overwrite.sh
* Add basic unit test for ElementWiseKernel
* Remove left-over uninformative comment in apply unit test
* Changes made by clang-format-overwrite.sh
* fixup! Use default template parameter values for memory operation and coherence in a call to make_naive_tensor_view
* Clean up test_tuple_apply.cpp and test_elementwise_1d.cpp
* Use make_uniform_array_with_factory to define h_xs and d_xs_mems_owner as type std::array
* Use a DeviceMem constructor that calls get_element_space_size_in_bytes internally
* Move examples to folder 20_elementwise
* Reduced register pressure on the CK tile elementwise kernel + add 4d input example to be able benchmark against old CK
* Fix CLang formating
* Bump up the elementwise example folder number
* Elementwise: add padding + minor cleanup
* Add Vector Size inference + fix issue with wrong vectorization due to missing GuaranteedLastDimensionVectorStride setting in make_naive_tensor_view
* Add isSupportedArg to Elementwise kernel + addapt example and unit tests
* Fix clang-format on the unit test file
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Co-authored-by: Damien Lejeune <damien.lejeune@amd.com>
Co-authored-by: Sami Aario <samaario@amd.com>
Co-authored-by: Mohsen Saffari <mohsen.saffari@amd.com>
Co-authored-by: Aviral Goel <aviral.goel@amd.com>
* fix async copytest bug
* Add block_sync_lds_direct_load utility
* fix the s_waitcnt_imm calculation
* Improve s_waitcnt_imm calculation
* fix vmcnt shift
* add input validation and bug fix
* remove unnecessary output
* move test_copy into test
* change bit width check
* refactor macros into constexpr functions
which still get inlined
* wrap s_waitcnt api
* parameterize test
* cleanup
* cleanup fp8 stub
* add fp8 test cases; todo which input parameters are valid?
* replace n for fp8 in test cases
* add large shapes; fp8 fails again
* change input init
* test sync/async
* time the test
* clang-format test
* use float instead of bfloat to cover a 4-byte type
* fix logic - arg sections should be 'or'd
* make block_sync_lds_direct_load interface similar to old ck
* fix a few comment typos
* name common shapes
* revert the example to original logic of not waiting lds
* clang-format
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Co-authored-by: Max Podkorytov <4273004+tenpercent@users.noreply.github.com>
Co-authored-by: Thomas Ning <Thomas.Ning@amd.com>
* ck_tile kernel for gemm with groupwise quantized A or B tensor.
This change introduces new pipelines with Intrawave scheduler and block gemm primitives that loads the scale tensor to registers to perform dequantization post MFMA on C tensor in registers.
Scale tensor data, AQ/BQ is spliced across threads in registers and not stored in LDS.
Current support is for the following combinations, but it should be fairly straightforward to extend support to more formats.
1. fp8, fp8 -> f32
2. bf8, bf8 -> f32
3. i4, fp8 -> f32
4. i4, bf8 -> f32
Group size can go down to as low as K length of underlying WarpGemm primitive.
For Gemm problems with quantized B tensor, this change also introduces preliminary support for flatmm pipeline which loads B tensor directly into registers.
* [Block Scale Gemm] Only run gemm quant examples on __gfx94__
- Only run gemm quant examples on __gfx94__ for usage of
`v_cvt_pk_fp8_f32`
- Format the code
* [Block Scale Gemm] Remove Bquant Gemm BlockScale
This cleanup is in preparation for future development of bquant. By
isolating Aquant-related code, we can streamline the codebase and make
it easier to add and maintain bquant functionality in subsequent
updates.
* [Block Scale Gemm] Format code with clang-format-12
The latest clang-format (v19) in ROCm 7.0 generate different result than
clang-format-12 which is used in CK CI.
Format code with clang-format-12 for consistency.
* [Block Scale Gemm] Split the k direction loop
- Split the k direction loop in block_universal_gemm_as_quant_bs_cr.hpp
to make the logic clearer.
- Disable C transposition.
* [Block Scale Gemm] Move block scale gemm example to 38_block_scale_gemm
* [Block Scale Gemm] Update copyright
* test
* Add TailHandler
* Move TileDistributionEncodingPatternAQ
* Refactor
* refactor
* fix bug
* fix bug
* help solve the PR comment
* Format the code
* [Block Scale Gemm] Add unit tests
* [Block Scale Gemm] Add support to 16x16x32 MFMA
- Add support to 16x16x32 MFMA
- Fix a bug when exchange data crossing lanes
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Co-authored-by: Vijay Krishnamoorthy <vjkrish@meta.com>
Co-authored-by: Cong MA <congma13@ctr2-alola-ctrl-01.amd.com>
Co-authored-by: ThomasNing <thomas.ning@amd.com>
[CK_TILE] Add new ck tile unit test
* Add new ck tile unit test smoke-gemm-universal
* Add new ck tile unit test smoke-gemm-basic
* Add new ck tile unit test topk_softmax
* Add new ck tile unit test add_rmsnorm2d_rdquant_fwd
* Convert ck-tile 06_permute smoke test to unit tests for fp16, fp8, and fp32
* Apply clang format and update copy right year
* Convert ck tile moe sorting example smoke tests to unit tests
* fix CMakelists to ensure that permute and moe_sorting are built for gfx9 only.
* Remove number prefix from permute and moe_sorting directory names
* code cleanup
* add missing test cases for fp16 permute
* remove unecessary parentheses
* Cleanup
* Remove uneccessary final nullptr
* update copyright and licensing statement in files
* Add custom target for permute tests
* Add missing new line at end of file for moe sorting CMakelist.
* Update MOE sorting tests to account for MOE sorting example updates
The ck_tile/13_moe_sorting example was updated to include different
cases dependending on whether MOE_SORTING_FMOE_2D_BUF is set. So,
the ck_tile tests for MOE sorting were updated to account for these
changes.
---------
Co-authored-by: Andriy Roshchenko <107577548+andriy-ca@users.noreply.github.com>
* CK tile tests for flatmm using example
* MOE smoothquant draft tests
* fix create_arg default index to zero for MOE smoothquant
* revert MOE smoothquant changes
* code clean up
* Add back MOE smoothquant changes
* Add MOE smoothquant cases for different precisions and update cmake
* clean up comments
* Update flamm cmake
* revert change made to moe_smoothquant smoke_test.sh EXE path
* remove unecessary comment in MOE smoothquant cmakelist
* comment out adding moe_smoothquant subdirectory for now due to bugs with GPU core dump issue on gfx942 and gfx90a
* Clean up run_test_case function in MOE smootquant tests
* update copyright and licensing on files
* Remove flatmm test dir since tests should be done as weighted preshuffle gemm
* Add flamm smoke test cases to weighted preshuffle gemm gtests
* remove blank line from CMakeLists
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Co-authored-by: root <root@ctr-ubbsmc16.amd.com>
Co-authored-by: Thomas Ning <Thomas.Ning@amd.com>
* Create tests for ck tile batched transpose using example
* Create ck tile tests for smoothquant using examples
* fix precision input strings and convert batched transpose to regression tests
* Code cleanup and fix asserts
* add missing licenses
* update copyright and licensing in files
* Update smoothquant tests to use example's smoothquant.cpp
* Add custom target for batched transpose tests
* Add missing new lines at end of files for CMakelists
* fix typo in batched transpose CMakeList target_compile_options
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Co-authored-by: root <root@ctr-ubbsmc16.amd.com>
* Initial commit
* Adding new tile partitioner to flatmm
* intermediate changes
* debugging kernels
* Updating flatmm example to universal gemm example
* updated flatmm kernel to run via gemmKernel
* update universal gemm to incorporate flatmm
* debug
* Fix flatmm call
* Fixing other kernels and tests for API changes
* clang formatted
* fixing gemm tests
* added test for flatmm and simplify kernel arguments
* adding flatmm test
* fix test for flatmm
* simplify gemm kernel with flatmm
* remove flatmm related files
* addressing review comments and code clean up
* resolving empty file
* resolving empty file
* clang formatted
* addressing review comments
* enable persistent kernel for flatmm
* reverted the removed files for flatmm
* reverted the removed files for flatmm
* changed flatmm to weightPReshuffle; removed the _1 added in teh faltmm example
* some more renames
* clang formatted
* support slice cross p
* fix some bug in y_len
* more case
* fix a bug when R exist
* support -1 to hint end of current length
* format
* change commit
* Multiple d, initial commit
* Check Ds Layout
* Readme and clang format
* Update branch & conflicts
* Multiple D - fix clang-formatter
* Rename elemetwise_op
* Fix CI
* Code review part1
* Remove printf
* Remove unnecessary comment
* Add new tests with Col layout
* Review part 2
* Added support for Multiple D GEMM
* Update comment
* Remove maybe_unused
* Clang-format
* Review part 3
* Add comment to function
* Add comment to function: another
* Take number of params for a refrence function
* Remove additional d param for 0 tensor
* Change name of function
* Fix CI fails
* Ck-tile, impl. grouped gemm
* Workspace is allocated by user, and is passed to the function
* Prepare test to new api design
* Unify GemTransKernelArgs, removing N0 param
* Add 1 to dim3 in paritioner
* Typo: gem - > gemm
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Co-authored-by: Adam Osewski <19374865+aosewski@users.noreply.github.com>
* CK-Tile GEMM with memory bound pipeline.
* Memory bound gemm pipeline.
* Fix not closed namespace.
* Block gemm mem pipeline draft.
* Do not use ck_tile:: within ck_tile namespace.
* Refactoring & Move Layout info to pipeline problem.
* Get hot loop and TailNum information before lunching kernel.
* Fixes in pipeline.
* Add comment to load_tile_raw and change variable naming style.
* Few small changes & formatting.
* Do not use macro.
* Add gtests.
* Use AccDataType for Output of MFMA instruction.
* Formatting.
* Refactor gemm examples.
* Switch over to current block gemm.
* Use currently available pipeline policy.
* Refactoring and review comment.s
* Fixes after merge.
* Add missing include.
* Add load tile overload which accepts output tensor as parameter.
* This give 8% perf boost at the cost of using more registers.
* Rename example.
* Small changes.
* Fix compilation err and lower K.
* Support different layouts for A/B
* Fix vector size for different layouts.
* Rename Alignment into VectorSize
* Unblock tests.
