[CK_TILE][FMHA] Support microscaling (mxfp8 and mxfp4) on
gfx950 (#4368)
## Motivation
Microscaling types (mxfp8 and mxfp4) for fwd qr pipeline
## Technical Details
The microscaling is used when quant scale mode is
`BlockAttentionQuantScaleEnum::MX` and `Q/K/P/VDataType` are
fp8/bf8/fp4.
Supported features:
* only "qr" pipeline is implemented
* hdim 128 and 256 (smaller hdim are not possible due to restrictions of
"qr" pipeline, but they can be computed using instances with padding)
* both 32x32x64 and 16x16x128 scale MFMAs are supported
* Q and K scales are applied in hdim, V scales - in seqlen dimension
* column-major V only
* batch and group mode
* bias, Alibi (tested but no instances by default, just like fp8)
* masking etc.
Aiter PR with new API args: https://github.com/ROCm/aiter/pull/2008
## Test Plan
```
ninja test_ck_tile_fmha_fwd_mxfp8 && bin/test_ck_tile_fmha_fwd_mxfp8
ninja test_ck_tile_fmha_fwd_mxfp4 && bin/test_ck_tile_fmha_fwd_mxfp4
```
## Test Result
The tests must pass.
## Submission Checklist
- [x] Look over the contributing guidelines at
https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests.
* Improve random number generation
* use different seed for each input (Q, K, V...);
* use deterministic generation of:
* seqstart_q/k (for group mode);
* block_table (for paged-kvcahe);
* cache_batch_idx (for kvcache);
* Extract arg_parser-related code from run functions to use them as tests
* Split examples into main programs and fmha runners, build instances separately
* Add dummy tests that use instances and runners
* Fix a missed corner case of f32->f8 conversion
When value if < min f8 denormal but > min f8 denormal / 2, it must be
rounded to min f8 denormal (i.e. 0b1), not to 0.
* Fix incorrect fp8 scales for P and O in validation code
DataTypeConfig was incorrectly compared with fp8_t.
* Add host generation of dropout random values and use it for validation
Previously host validation (reference_batched_dropout) used random
numbers generated by BlockDropout of the kernel, meaning that incorrect
generation on device (bad distribution, repeated numbers, too many zeros,
etc.) would not trigger any validation errors.
* Implement tests from smoke_test_bwd.sh
* Return result as enum to distinguish failure and missing instance
* Add tests for bwd features: bias, alibi, dropout
* Implement tests from smoke_test_fwd.sh
* Pass seqlen_q/k as vectors to fwd and bwd runners
* Add tests for fwd features: bias, alibi, dropout
* Add tests for pagedkv and splitkv
* Fix conditions when to use splitkv and pagedkv kernels
splitkv was executed only when use_kvcache which == (need_append_kvcache || use_cache_batch_idx || 0 < page_block_size).
In the SplitKV tests: the regular fwd kernel was executed if use_cache_batch_idx was not requested even when num_splitkv > 1.
In the AppendKV tests: the pagedkv kernel was executed but it often failed to find an instance.
* Add tests for appendkv
* Use is_v_rowmajor = true because there are no instances with column layout anymore
* Split public and private compile options for instances
Tests and examples need to know only about CK_TILE_FMHA_FWD_*_API.
* Improve parsing validation in bias and mask
* Pass bias as string for consistency with mask
* Catch parsing and other exceptions
* Add bwd test for deterministic flag
* Initialize fp8 tensors (-init=ufq) similarly to uf
* Fix splitkv/pagedkv invocation: use padded sk when seqlen_k_ptr is not null
seqlen_k cannot be used to determine padding when seqlen_k_ptr is
provided. The actual seqlen_k is taken from seqlen_k_ptr[b].
Even seqlen_k values (% bn0 == 0) use padded seqlen_k while seqlen_k_ptr
may contain arbitrary values.
In the example or tests this produces incorrect results with appendkv
(for example, -d=32 -s=1 -s_k=64 -s_knew=7 -vlayout=c -b=8).
* Fix use_pagedkv value when kvcache = true but page_block_size = 0
In this case block_table_ptr is nullptr which is accessed in the kernel.
* Clean up bwd tests
* Unify fwd tests for f16/bf16 and fp8
* Use better explicit instantiation declaration for fmha_bwd<2>
* Use the same seed for all tests, allow to override it with env variable
* Undo clang-format of one irrelevant file
For some reason my local clang-format-18 and the one in CI work differently.
* Do not build instances and tests on unsupported archs
* Build instance libraries as OBJECT library
* CI: Enable sccache for HIP
There are source files with LANGUAGE HIP, they need
-DCMAKE_HIP_COMPILER_LAUNCHER=sccache
* Add tests to REGRESSION_TESTS
* Fix OOB accesses in deterministic bwd due to incorrectly assumed kN0
The runner assumes kN0 = (hdim_q <= 128) ? 128 : 64 but there are
smaller tiles (for tr_load or fp32). This can create too small dq_acc_buf.
* Pass CK_TILE_FMHA_FWD_*_API as INTERFACE compile options
The instances don't actually depend on them, only examples and tests do.
Passing these definitions as INTERFACE allows to change FMHA_FWD_ENABLE_APIS
without recompiling instances that are already in ccache.
* Fix formatting and names
* base working version for single groupped conv bwd data
* Fix 2d descriptor
* fix groups
* Add 3d support
* fixes
* fixes
* fixes
---------
Co-authored-by: Jakub Piasecki <jakpia21@gmail.com>
* 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
---------
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>
* [CK_TILE] Add GetName functions for Gemm Kernels
* [CK_TILE] Add GetName for grouped gemm
* [CK_TILE] Add GetName for gemm - review changes
* [CK_TILE] Print also gemm problem pipeline and shape
* [CK_TILE] Print also GemmPipelineScheduler
* [CK_TILE] GetName - fixed Scheduler <<operator visibility
* [CK_TILE] GetName info adjustments
* [CK_TILE] GetName post-merge fix
* [CK_TILE] GetName - add general concat function
* [CK_TILE] GetName - small adjustments, format change
* post merge develop fix
* Remove commented 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>
* restore cron trigger (#1863)
* 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>
* Extract prec_str and add separator to concat
* GetName add
* 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.
* Resolve merge issues
---------
Co-authored-by: Illia Silin <98187287+illsilin@users.noreply.github.com>
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>
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>
* 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>
* Update license year
* Add initial code to override decode problem
* Fix splitkv traits/args overriding error
* Reshape and transpose lse for decode
* Remove debug code
* Prettify example code
* Use better function name
* Add kMergeNumHeadGroupsSeqLenQ flag
Kernel user can use this switch to turn on/off optimization for
some problem sizes
* Add missing flag declarations
* Default turn off kMergeNumHeadGroupsSeqLenQ in codegen
* Group similar statements together
* Remove assumption of seqlen_q=1
* Remove kMergeNumHeadGroupsSeqLenQ from splitkv combine kernel
* Support kMergeNumHeadGroupsSeqLenQ=true in fmha splitkv kernel
* Run kMergeNumHeadGroupsSeqLenQ=true kernels when need
* Fix group mode block skip logics
* Undo changes of normal fwd kernel
* Update in GridSize() and using GridSize() for splitkv kernel (#1799)
---------
Co-authored-by: Qianfeng <qianfeng.zhang@amd.com>
* Add reduce2d new api
* Prevent user use cross warp reduction
* Fix bug of std caculation
* Add rmsnorm2d
* Add rmsnorm small example
* Remove static assert to prevent compile fail
* Add script to test performance and correctness
* Add missing cmake change
* refine naming
* refine example of rmsnorm
* Fix bug of rmsnorm
* Refine naming
* Fix cmake
* clang format
* Refine pipeline name
* Add add_rmsnorm2d_rdquant kernel
* Add reduce op
* host verification
* Fix bug of one pass pipeline
* Refine tile size
* Add two pass pipeline
* Rename two pass to three pass
* Fix bug of kSaveX == false
* Add instance library
* Add test script
* Fix bug of x verification
* Add save_x to trait
* Add README
* Move reduce2d into reduce folder
* Fix bug of welford when number of m warp > 1
* remove reduncant comment
* 1. move 06_rmsnorm2d to 10_rmsnorm2d
2. move 07_add_rmsnorm2d_rdquant to 11_add_rmsnorm2d_rdquant
* clang format and add missing header
* Add host validation of add + layernorm2d + rsquant
* Revert "Add host validation of add + layernorm2d + rsquant"
This reverts commit 936cb45797.
* Remove deprecated flag
* port layernorm
* change warp_welford.hpp
* Update warpshuffle
* 1. Add save mean and save std back
2. Move construction of tensor_view and tile_window to operator()
* refine welford max count calculation
* unify layernorm api
* Rename file
* Remove save mean and inv std
* Revert "refine welford max count calculation"
This reverts commit 022365802b.
* Fix order of parameter
* refine welford max count calculation again
* Remove fp32 instances
* Fix bug of padding
* refactor api
* Support bf16
* Extract common function
* Refine arg of operator()
* Add kMThreadPerBlock to template parameter
* clang format
* Refine variable name
* Refine file name
* remove redundant line
* refactor layernorm2d pipeline and add block-per-block utility
* fix name
* rename more
* add more block-per-tile instance
* remove duplicated define
* update instance for 2048, 1024 case
* support up to 2048 now
* opt loading
* add n1536
* Add two pass pipeline
* format
* Fix incorrect type
* parallel compilation
* Use smaller N
* fix 2p pass
* Support Repeat_M in distribution
* Refine nameing
* Add reduce example
---------
Co-authored-by: letaoqin <letaoqin@amd.com>
Co-authored-by: aska-0096 <haocwang@amd.com>
Co-authored-by: rocking <ChunYu.Lai@amd.com>
Co-authored-by: carlushuang <carlus.huang@amd.com>
* Use dictionary to config all the functions
* Add init codegen logic for fmha fwd appendkv
* Call HIP_CHECK_ERROR() macro to get real source info
* Setup meaningfull arguments
* Sync kernel name with the codegen
* Add knew/vnew tensors to the kernel argument
* Fix wrong K values after appending
* Fix vnew append errro
* Extract common logics
* Fix Vnew tile dstr for row major case
* Conditionally add fwd_splitkv API in fmha_fwd example
* Conditionally add call to fmha_fwd_splitkv()
* Remove "EXAMPLE_" prefix of cmake variables
* Regsiter API handlers automatically
* Early return if 0 < s_k_new is not supported
* Show message if we are ignoring option
* Unify CMakeLists.txt coding style
* Set num_splits=1 if split-kv is not supported
* Add length/stride getters for HostTensor
* Add RoPE example utilities
* Add reference_rotary_position_embedding() (not implemented)
* Finish reference_rotary_position_embedding() impl
* Fix typo of HostTensor<>::get_length()
* Fix compilation errors
* Fix wrong answer when interleaved=false
* Fix wrong answer when interleaved=true
* Append K/V in the host verification code
* Simplify K appending logics
* Simplify v_host_ref definition
* Reduce input/output dimensions
* Rename function: add "batched" prefix
* Apply RoPE on host side
* Rename RoPE utility function
* Fix wrong tensor size
* Avoid invoking deprecated method 'find_module'
* Pass RoPE kernel args
* Create Rotary Cos/Sin tile windows in kernel
* Add compute data type alias for RoPE
* Randomly generate seqlen_knew if needed
* Fix seqlen_knew enabling check logic
* Add minimum seqlen_k to generate compliance kvcache
* Fix compilation error in debug mode
* Fix wrong boundaries
* Fix wrong seqlen_k for kvcache
* Rename variables used in distributio encoding
* Fix rotary cos/sin tensor/tile size
* Add constraint to the rotary_dim option
* Remove unused inner namespace
* Add dram distribution for rotary_cos/rotary_sin (interleaved)
* Only apply interleaved RoPE on Knew for now
* Fix wrong thread starting offset
* Instantiate multiple kernels for RoPE approaches
* Clean-up pipeline
* Fix error in RoPE host reference
* Handle RoPE half-rotated logics
* Support 8x rotary_dim under half-rotated RoPE
* Add comment
* Apply elementwise function to the loaded tiles
* Unify parameter/variable naming style
* Remove constness from q_ptr
* Add code blocks for q_tile
* Apply RoPE to q_tile
* Remove debug print code in kernel
* Fix wrong knew/vnew appending positions
* Use better naming for tile indices
* Add make_tile_window() for adding distribution only
* Skip code if # of block is more than needed
* Move thread locating logics into policy
* Remove always true static_assert()
* Rename header
* Rename RotaryEmbeddingEnum
* Extract rotary embedding logic out
* Re-order parameters
* Align naming of some tile size constants
* Rename more tile size constants
* Fix wrong grid size
* Fix wrong shape of knew_host/vnew_host
* Fix wrong index into knew_host/vnew_host
* Fix wrong rotary_cos/rotary_sin memory size for Q
* Extract Q/Knew vector size to helper methods
* Use different rotary_cos/rotary_sin distr for Q/Knew
* Update host/device specifiers
* Fix wrong data type for Q rotary_cos/rotary_sin
* Remove RoPEComputeDataType type alias
* Shift rotary_cos/rotary_sin by cache_seqlen_k
* Add comment for why I just 't' for all padding flags
* Align commit message to the real comment
* Fix wrong pipeline
* Rename utility function
* Disable host verification if API not exist
* Fix wrong rope key for fp8 pipeline
* Allow only apply RoPE on Q (without append KV)
* Add append-kv smoke tests
* Remove debug statements
* Remove more debug statements
* Re-arrange the 'set +x' command
* Remove no-longer used method in pipeline
* Add missing init code
* Refine pipeline padding settings
* Enlarge rotary_dim limit (8 -> 16)
* Enlarge KPerThread for rotary_interleaved=false
* Update rotary_dim range in smoke_test_fwd.sh
* Add template argument 'kIsPagedKV' for splitkv kernels
* Launch splitkv kernel if given page_block_size
* Fix wrong kernel name
* Fix seqlen_k_min for pre-fill case (1 -> 0)
* Add copy_const<> type trait
* Add another make_tile_window()
* Introduce 'TileWindowNavigator' types
* Simplify TileWindowNavigator interfaces
* Fix tile window navigation bugs
* Disable calling fmha_fwd()
* Remove ununnecessary data members
* Simplify more make_tile_window() overloads
* Move V tile through TileWindowNavigator
* Fix uneven split checking logic
* Move code after decide seqlen_q/seqlen_k
* Make sure we always start reading complete tile
* Use 128 as minimus page_block_size
* Fix wrong origin for bias
* Add batch_stride_k/batch_stride_v in group mode
* Unify origin
* Add missing kernel arguments for group mode
* Add paged-kv codegen logic for appendkv kernels
* Add block_table kernel args for appendkv kernel
* Add tile navigators to the appendkv kernel
* Fix wrong tensor descriptor lengths
* Pass re-created tile window to pipeline
* Fix wrong strides for appendkv kernel
* Allow transit tile_window to another page-block
* Handle cross-page-block write
* Donot perform write again if already in last page-block
* Always add fmha_fwd() api
* Add missing group mode argument
* Remove debug macro usages
* Rename option s_k_new to s_knew
* Separate splitkv/non-splitkv args/traits
* Remove fmha_fwd_dispatch()
* Fix compilation errors
* Remove dropout code in splitkv kernel
* Allow problem types without define kHasDropout attr
* Use generic lambda to init traits objects
* Separate more non-splitkv & splitkv traits/args
* Display more info for specific kernels
* Show more detailed warning message
* Rename 'max_num_blocks' to 'max_num_page_blocks'
* Remove no-longer used pipeline files
* Wrap code by #if directives
* Move functors to the begining of validation code
* Use generic lambda to init all the api traits/args
* Fix wrong seqlen for kvcache
* Add missing comment
* Rename TileWindowNavigator to PageBlockNavigator
* Only expose necessary methods (not attributes)
* Re-order pipeline paremeters
* Refine smoke_test_fwd.sh
* Fix wrong arugment count
* Make tile window directly via PageBlockNavigator
* Remove unused template paremeter
* Remove group mode from appendkv kernel
* Fix skcheck logic
* Fix wrong syntax in skcheck expr
* Use meaningful options in smoke test
* Remove options
* Fix formatting
* Fix more format
* Re-organize bash functions
* Pass cache_batch_idx to kernels
* Support cache_batch_idx in example
* Fix compilation error
* Add more appendkv test
* Add more case for appendkv
* Fix unexisted attribute
* Remove 0 < seqlen_knew constraint
* Clarify the case in warning message
* Remove macro checking
* Force batch mode when invoking appendkv & splitkv apis
* Fix mode overriding logics
* Fix wrong parameter name
* Randomize seqlen_k if use kvcache
* Use randomized seqlen_k for kvcache
* Avoid using too small rotary_cos & rotary_sin
* Rename parameter
* Add seqlen_q & seqlen_k rules
* Add comment
* Add more comments
* Fix compilation errors
* Fix typo in comment
* Remove type argument
* Avoid seqlen_k=0 for kvcache
* Revert "Avoid seqlen_k=0 for kvcache"
This reverts commit 21c4df89e4.
* Fix wrong uneven split checking logics
* Only randomize kvcache seqlen_k if 1 < batch
* Return earlier if split is empty
* Revert "Only randomize kvcache seqlen_k if 1 < batch"
This reverts commit b9a4ab0d7e.
* Re-order seqlen_k_start adjustment logics
* Fix compilation errors
* Re-format script
* Find executable from folder automatically
* Fix kvcache seqlen_k generating logic
* Make comment more clear
* Fix wrong knew/vew appending logic on host
* Add s_barrier to sync threads
* Revert "Add s_barrier to sync threads"
This reverts commit d3f550f30c.
* Support only using 1 row of rotary_cos/rotary_sin
* Rotate Q in different way
* Unify tensor view creation logics
* Fix wrong argument
* Add mask to switch how we use the rotary_cos/sin
* Move attr from traits to problem
* Move has_mask to fmha_fwd_appendkv_args
* Support use uint32_t as SAD operand in Alibi<>
* Use sad_u32() in splitkv kernels
* Store tensor views in PageBlockNavigator
* Use stored tensor view to update tile windows
* Enlarge tensor view size
* Remove debug code
* Fix wrong tensor view size
* Wrap tensor view into PageBlockNavigator
* Add DataType member to PageBlockNavigator
* Remove unnecessary member functions
* Refind macro use
* Fix typo
* Add blank line between directives and actual code
* Re-format files
* Remove type in comment
---------
Co-authored-by: carlushuang <carlus.huang@amd.com>
Co-authored-by: rocking <ChunYu.Lai@amd.com>
* Add layernorm2d forward
* Refind file path
* clang format
* Exclude ck_tile op from all
* use add_executable instead
* refactor layernorm2d_fwd example
---------
Co-authored-by: carlushuang <carlus.huang@amd.com>
* enable gfx940
* switch between intrinsic mfma routines on mi100/200 and mi300
* fix mfma_int8 on MI300
* disable 2 int8 examples on MI300
* Update cmake-ck-dev.sh
* restore gitignore file
* modify Jenkinsfile to the internal repo
* Bump rocm-docs-core from 0.24.0 to 0.29.0 in /docs/sphinx
Bumps [rocm-docs-core](https://github.com/RadeonOpenCompute/rocm-docs-core) from 0.24.0 to 0.29.0.
- [Release notes](https://github.com/RadeonOpenCompute/rocm-docs-core/releases)
- [Changelog](https://github.com/RadeonOpenCompute/rocm-docs-core/blob/develop/CHANGELOG.md)
- [Commits](https://github.com/RadeonOpenCompute/rocm-docs-core/compare/v0.24.0...v0.29.0)
---
updated-dependencies:
- dependency-name: rocm-docs-core
dependency-type: direct:production
update-type: version-update:semver-minor
...
Signed-off-by: dependabot[bot] <support@github.com>
* initial enablement of gfx950
* fix clang format
* disable examples 31 and 41 int8 on gfx950
* add code
* fix build wip
* fix xx
* now can build
* naming
* minor fix
* wip fix
* fix macro for exp2; fix warpgemm a/b in transposedC
* unify as tuple_array
* Update the required Python version to 3.9
* Update executable name in test scripts
* re-structure tuple/array to avoid spill
* Merge function templates
* Fix format
* Add constraint to array<> ctor
* Re-use function
* Some minor changes
* remove wrong code in store_raw()
* fix compile issue in transpose
* Rename enum
Rename 'cood_transform_enum' to 'coord_transform_enum'
* let more integral_constant->constant, and formating
* make sure thread_buffer can be tuple/array
* temp fix buffer_store spill
* not using custom data type by default, now we can have ISA-level same code as opt_padding
* fix compile error, fp8 not ready now
* fix fp8 duplicated move/shift/and/or problem
* Default use CK_TILE_FLOAT_TO_FP8_STOCHASTIC rounding mode
* fix scratch in fp8 kernel
* update some readme
* fix merge from upstream
* sync with upstream
* sync upstream again
* sync 22
* remove unused
* fix clang-format
* update README of ck_tile example
* fix several issue
* let python version to be 3.8 as minimal
* remove ck_tile example from default cmake target like all/install/check
* remove mistake
* 1).support receipe in generate.py 2).use simplified mask type 3).change left/right to pass into karg
* fix some bug in group-mode masking and codegen. update README
* F8 quantization for FMHA forward (#1224)
* Add SAccElementFunction, PComputeElementFunction, OAccElementFunction in pipeline
* Add element function to fmha api
* Adjust P elementwise function
* Fix bug of elementwise op, our elementwise op is not inout
* Add some elementwise op, prepare to quantization
* Let generate.py can generate different elementwise function
* To prevent compiler issue, remove the elementwise function we have not used.
* Remove f8 pipeline, we should share the same pipeline even in f8
* Remove remove_cvref_t
* Avoid warning
* Fix wrong fp8 QK/KV block gemm setting
* Check fp8 rounding error in check_err()
* Set fp8 rounding error for check_err()
* Use CK_TILE_FLOAT_TO_FP8_STANDARD as default fp8 rounding mode
* 1. codgen the f8 api and kernel
2. f8 host code
* prevent warning in filter mode
* Remove not-in-use elementwise function kargs
* Remove more not-in-use elementwise function kargs
* Small refinements in C++ source files
* Use conditional_t<> to simplify code
* Support heterogeneous argument for binary function types
* Re-use already-existing scales<> functor template
* Fix wrong value produced by saturating
* Generalize the composes<> template
* Unify saturates<> implementation
* Fix type errors in composes<>
* Extend less_equal<>
* Reuse the existing template less_equal<> in check_err()
* Add equal<float> & equal<double>
* Rename check_err() parameter
* Rename check_err() parameter
* Add FIXME comment for adding new macro in future
* Remove unnecessary cast to void
* Eliminate duplicated code
* Avoid dividing api pool into more than 2 groups
* Use more clear variable names
* Use affirmative condition in if stmt
* Remove blank lines
* Donot perfect forwarding in composes<>
* To fix compile error, revert generate.py back to 4439cc107d
* Fix bug of p element function
* Add compute element op to host softmax
* Remove element function in api interface
* Extract user parameter
* Rename pscale and oscale variable
* rename f8 to fp8
* rename more f8 to fp8
* Add pipeline::operator() without element_functor
* 1. Remove deprecated pipeline enum
2. Refine host code parameter
* Use quantization range as input
* 1. Rename max_dtype to dtype_max.
2. Rename scale to scale_s
3.Add init description
* Refine description
* prevent early return
* unify _squant kernel name in cpp, update README
* Adjust the default range.
* Refine error message and bias range
* Add fp8 benchmark and smoke test
* fix fp8 swizzle_factor=4 case
---------
Co-authored-by: Po Yen Chen <PoYen.Chen@amd.com>
Co-authored-by: carlushuang <carlus.huang@amd.com>
---------
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: illsilin <Illia.Silin@amd.com>
Co-authored-by: Illia Silin <98187287+illsilin@users.noreply.github.com>
Co-authored-by: Jing Zhang <jizha@amd.com>
Co-authored-by: zjing14 <zhangjing14@gmail.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Po-Yen, Chen <PoYen.Chen@amd.com>
Co-authored-by: rocking <ChunYu.Lai@amd.com>
