* solve compiler issue
* solve the gfx950 mfma shuffle regression
* refactor jenkinsfile to handle arch name better
* [CK TILE] set divisor to count of thread along k dimension
* fix the compiler error
* solve degradation
* Finish the multiplies fix
* fix the scales
* solve compilation error
* solve the composes
* solve the error of tile sweeper
* fix the test and example
* fix for gfx950
---------
Co-authored-by: Max Podkorytov <4273004+tenpercent@users.noreply.github.com>
Co-authored-by: illsilin_amdeng <Illia.Silin@amd.com>
Co-authored-by: Cong Ma <congma13@amd.com>
- Enable page_size=1 support in batch prefill codegen (linear layout only).
- Implement per-token page lookup in `kv_offset_array_transform` for page_size=1 to handle 3D input tensors correctly.
- Relax `kPageBlockSize` alignment assertion for the page_size=1 case.
* WIP
* Add Unit tests for the Multi Reduction Kernel
* clang format
* Rename multiblock to threadwise
* Multiblock WIP
* Fix multi reduce multi block unit tests
* Multi Reduce Tile Engine: WIP
* refactoring + try addressing precision error
* Fix multiops examples
* Cleanup
* Clean up tile engine's reduce op
* Update changelog
* Fix remod/clang
* Fix dates
* Fix documentation & missing file
* Fix comments
* Use the update_tile api in the multi-block kernel
* Unify threadwise/multiblock into a single kernel + default multiblock output to float in tests
* Add TileParitioner
* Cleanup
* Add warning when no data to process, in the example
* Refactoring Reduce kernel Tile Partioner + cleanup
* Move the tile partioner to its own file
* Add missing includes
* Fix copyright header with update_amd_copyright_headers.py
* Fix change of interface in Reduce2dProblem
---------
Co-authored-by: Damien Lejeune <damien.lejeune@amd.com>
Co-authored-by: Adam Osewski <19374865+aosewski@users.noreply.github.com>
* update grouped_gemm blockwise kernel
* update config
* update kernel
* update examples
* remove test code for now
* sync test files with origin/develop
* update example
* fix code lint
* fix code-lint
* update test code
* run clang format
* run pre-commit
* update api
* add page_block_size parameter
* add is_sglang_layout to parameters
* add kv_offset_array_transform to batch async for page size 16
* add kv_last_page_lens to kernel
* change kv layout to [num_total_pages, page_block_size, hdim]
* format
* - enable codegen of batch_prefill kernels
- create new problem struct BlockFmhaBatchPrefillPipelineProblem for
batch prefill kernels
- generate different page sizes of batch prefill kernels (1, 16)
* 1. fix wrong calculation of page id in kv_offset_array_transform in gfx950
2. support page size 1024
* fix python format
* change kv cache layout to [num_blocks, num_kv_heads, head_size/x,
block_size, x] and [num_blocks, num_kv_heads, block_size/X, head_size, X]
* 1. Introduced `kVectorSize` in BlockFmhaBatchPrefillPipelineProblem instead of using hardcode values
2. Makes batch prefill kernel traits structures inherent from fmha fwd
traits
3. Add some static check for Page size, vector size, hdim, ..., etc.
* [Refactor] Replace is_sglang_layout with Enums for KV cache configuration
Refactored `fmha_batch_prefill` to use `BlockAttentionKVCacheMemoryLayoutEnum` (VECTORIZED/LINEAR) and `BlockAttentionKVCacheLookupTableEnum` (SGLANG_1D/VLLM_2D) instead of a single
boolean.
**Changes:**
* Added Enum definitions in `block_attention_kvcache_layout_enum.hpp`.
* Updated Kernel, Pipeline, and Traits to template on these Enums.
* Implemented `kv_offset_array_transform` logic based on `kKVMemoryLayout`.
* Refactored `PageBlockTableKargs` to adapt to `kKVLookupTable`.
* Updated CodeGen scripts to support new parameters.
This decouples memory layout from the paging mechanism, enabling flexible KV cache configurations.
* 1. remove batch prefill pipeline with sk_pad=false
2. correct some comments
3. add static assert to make sure v offsets is in same page within a tile.
* fix vgpr spill count
* remove unnecessary t2s functions
* add fp8 support for receipt 200 and 600 in fmha_bath_prefill.py
* support linear kv cache layout
* Remove block_table_ptr from fwd_batch_prefill_args. Instead, reuse
kv_page_indices as a pointer of the lookup table.
* 1. merge multiple transforms into single transform.
2. add static check to make sure vlayout is row-major.
* move FmhaFwdCommonKargs::seqlen_k_ptr to VllmPageTableKargs.
* update changelog
---------
Co-authored-by: ltqin <letaoqin@amd.com>
Co-authored-by: PoYen, Chen <PoYen.Chen@amd.com>
* initial poc
* factor out common parts in operator()
* cv4
* rest of the universal gemm pipelines
* fix test
* remove boilerplate from tile engine
* fix example
* fix example
* format
* fix tests build for gemm
* remove base pipeline codegen from gemm instance builder
* unify v3 logic with the rest of universal gemm pipelines
* fix build for multi abd test
* fix test gemm multi d
* fix build for weight preshuffle
* fix grouped gemm test
* fix grouped gemm multi d test
* fix grouped gemm preshuffle
* fix grouped gemm example except for quant
* fix gemm preshuffle
* fix splitk 2 stage example
* fix batched gemm example
* fix multid example
* fix multiabd example
* fix batched gemm test
* fixup
* fix examples build
* fix grouped gemm test build
* fix smoke builder
* hacky poc
* fix tile engine
* kill the lambda
* maybe fix test build
* more fixes
* clang-format
* save temp
* clang-format
* mostly fix examples
* clang-format
* remove dead code
* more cleanup
* fix fmha bwd build (default epilogue set/add appears to be broken)
* fix default epilogue tests but not correctness
* clang-format
* fix bquant
* clang-format
* cleanup dead code
* rearrange make windows for readability
* restore changes to IsSupportedArgument
* fix smoke-builder
* clang-format
* fixup rename class
* build fixes
* clang-format
* fix builder
* fixup
* remove set from builder tests
* fix test
* clang-format
* re-refactor the kernels
* clang-format
* fix header license
* remove memory operation from conv bwd test
* clang-format
* clang-format example,include
* clang-format test
* build fixes
* clang-format
* solve compilation error
* fix the CI
* solve compilation error
* clang format
* solve merge conflict
* solve merge conflict
* solve the gfx11 error
* solve test error
* moar build fixes
* remove AtomicAddRequiresKBatchGreaterThanOne test since the property is removed from the kernel scope
---------
Co-authored-by: Thomas Ning <Thomas.Ning@amd.com>
Previously, the code used unsigned long for literals and format specifiers to represent 64-bit unsigned values. While this worked on Linux, it caused compatibility issues on Windows.
The C++ standard does not guarantee that long is 64 bits. On LP64 systems (e.g., Linux), long maps to 64-bit values, but on LLP64 systems (e.g., Windows), long maps to 32-bit values. This discrepancy led to incorrect behavior when assuming unsigned long was always 64-bit.
This commit updates all relevant literals and format specifiers to explicitly use 64-bit unsigned types, ensuring consistent behavior across platforms.
* feat: add RRR, CRR, CCR layouts for a/b quant grouped gemm tests and examples. Refactor example setup to improve compile time
* chore: split out bquant preshuffle test, and reduce tile size to 128 to temporarily solve slow compile times
* chore: set m/n warp tile to 16 as configurations with 32 seem to have some support problems
* fix: missing check for transposed load in bquant pipeline
* chore: lower unit test tensors dimensions a bit for faster tests
* chore: set grouped gemm example M/N warp tile to 16
---------
Co-authored-by: Thomas Ning <Thomas.Ning@amd.com>
* Epilogue chainer
* epilogue chainer with context to share state in between epilogues
* chain-able epilogues for cshuffle
* clang-format
* rebase related changes
- Added separate chainer test
- clang format
* comment resolutions
* clang-format
* Policy based chaining
- basic Policy structure to control blanket looping and barrier
placement.
- to be extended for fine grianed control
- to be modified to move possible auto-compute values and SFC access
count to policy
* Refactoring as per spec
- Introduced epilogue schedule, graph
- modified chainer to function with graph and schedule
* minor_changes
- made functions to overload in the epilogue_graph file
* clang-format
* Documentation and Comments
- Added comments to files
- Noted changes in changelog
- Added README to explain the chainer and current status, exact use
steps to be added
* Comment resolutions
- README modified with the suggested changes
- Comment fixed accordingly
* major refactoring
- modified the chainer files to match the new design
- updated comments
- updated readme
- multi-d example shocases use of the chainer
* minor cleanup
* tensor and rowcol quant chainer epilogue
- added scalarepilogue for tensor quant
- added schedule for tensorquant
- modified quant example to use chainer and appropriate schedules
* Refactor epilogue chainer: generalize ops and standardize context interface
Address review comments.
Changes:
- Rename CastToLdsOp to CastAndStoreToLdsOp for clarity
- Standardize context member names (working_tile, out_tile, aux_windows)
- Update README documentation with correct operation names
- Clean up parameter naming in epilogue_chainer.hpp (OutWindow, AccTile,
AuxWindows)
- common_epilogue_ops.hpp: General-purpose ops (ScaleScalarOp,
CastAndStoreToLdsOp,
LoadFromLdsOp, ElementwiseOp, StoreOp, MoveWindowsOp)
- cshuffle_epilogue_chainer_ops.hpp: CShuffle-specific context and slice
operations
- epilogue_chainer.hpp: Cleaned up parameter naming for generality
- Removed test files that are no longer needed. These were added for
intermediate use
* update cshuffle chainer ops file w.r.t cshuffle_epilogue.hpp updates & add chainer to quant gemm example
* fix compile errors
- CI uses c++17 while the code had c++20 features
---------
Co-authored-by: Illia Silin <98187287+illsilin@users.noreply.github.com>
Co-authored-by: Adam Osewski <19374865+aosewski@users.noreply.github.com>
* refactor reduce kernel
- Rename Reduce kernel as per convention
- Move kept_dim and reduce_dims from runtime to compile-time parameters
- Update Reduce2dProblem template to include KeptDim, ReduceDims, and
Rank
- Remove IsSupportedArgument validation function as it's unnecessary.
Not using the GuaranteedLastDimensionVectorStride while making tensor
view or descriptor which removes the bounds enforced earlier. We still
calculate and use vector size.
- Update reduce example to demonstrate NCHW->NHW reduction with
non-contiguous support
- Update tests
Kernel now handles both contiguous and non-contiguous memory layout.
* fix compile errors
* Support A/B Quantization in Blockscale GEMM
* Support A/B Quantization in Blockscale GEMM
* Support A/B Quantization in Blockscale GEMM
* Support A/B Quantization in Blockscale GEMM
* Support A/B Quantization in Blockscale GEMM
* Implement review suggested changes
* Implement review suggested changes
* Sync with develop
* fix pre-commit error
* Add unit tests for blockscale AB-Quantization
* fix pre-commit error
* fix pre-commit error
* fix compile error
* fix compile error
* fix clang-format
* fix clang-format
* fix enumeration values not handled in switch
* rebase file
* Add missing enums to data_type_sizeof (#3430)
Fixes broken build on gfx942. This was some test code that got merged at the same time.
* [CK_BUILDER] CK Tile header installation for builder, algorithm concept improvements (#3419)
* Added install of CK_Tile headers when using CK_EXPERIMENTAL_BUILDER. MIOpen needs this since the builder uses features from CK Tile and the CK Tile install is excluded when doing a narrow build for MIOpen
* Changed algorithm concept type checks to be concepts instead of constexpr bool functions. This improves compiler error messages when using these concepts in static_asserts
---------
Co-authored-by: Daryl Hawkins <DarylHawkins@amd.com>
* Add build trace diagnostics to CI. (#3432)
* generate and visualize build traces for all archs
* generate build traces in all cases
* fix jenkins logic
* fix typo
* use more threads for parsing dependency map
* add script to parse ninja traces and issue warnings
* fix python script syntax and header
* fix python syntax one more time
* fix python syntax
* Support A/B Quantization in Blockscale GEMM
* Implement review suggested changes
* Sync with develop
* Add unit tests for blockscale AB-Quantization
* fix enumeration values not handled in switch
* rebase file
* rebase file
---------
Co-authored-by: John Shumway <jshumway@amd.com>
Co-authored-by: DarylHawkinsAMD <Daryl.Hawkins@amd.com>
Co-authored-by: Daryl Hawkins <DarylHawkins@amd.com>
Co-authored-by: Illia Silin <98187287+illsilin@users.noreply.github.com>
* support bf16*mxfp4 gemm
* rebase bf16*fp4 example to develop branch
* Clean up commented debug code in GEMM kernel
* rename example folder
* support bf16*mxfp4 gemm
* rebase bf16*fp4 example to develop branch
* Clean up commented debug code in GEMM kernel
* rename example folder
* rebase to new develop
* fix clang format
* update code according to reviewer's comment
* Update README.md
* update code according to reviewer's comment
* update code according to reviewer's comment
* Update CMakeLists.txt
* Update README.md
* Update CMakeLists.txt
* Delete files
* Delete files
* Add unit tests
* Update test_gemm_quant_base.hpp
* merge bf16*fp4 example to develop branch
* fix clang format
* fix clang format
* Update CMakeLists.txt
* fix ci test
* fix clang format
* resolve conflicts
---------
Co-authored-by: eliotwang <charyang@smci355-ccs-aus-m10-29.cs-aus.dcgpu>
Co-authored-by: ShaoChunLee <Shao-Chun.Lee@amd.com>
Co-authored-by: Illia Silin <98187287+illsilin@users.noreply.github.com>
Co-authored-by: illsilin_amdeng <Illia.Silin@amd.com>
Co-authored-by: Thomas Ning <Thomas.Ning@amd.com>
* First version of split-K autodeduction.
* Fix circular dependency and kernel construction.
* Fix tolerance calculation for bwd weight example.
* Simplify kernel construction.
* Fix kernel launching bug for split-K autodeduce.
* Add split-K autodeduction support for the two stage example.
* Fix a corner case.
* Fix clang-format.
* Fix clang-format for inc files.
* Add missing header.
* Prevent too large split-K values.
* Fix formatting.
* Add unit tests for IsSupportedArgument in grouped bwd conv.
* clang-format.
* Fix merge conflicts.
* Address feedback from code review.
* clang-format
* Fix new tests after merge.
---------
Co-authored-by: Ville Pietilä <>
* wip: add aquant to grouped gemm quant example
* fix: properly handle hot loop count in aquant pipeline
* fix: add separate GemmConfig structs for AQuant, automatically select the correct one
* feat: finish support for a non-persistent kernel invocation for grouped gemm quant, and add support code to example
* refactor: cleaned up grouped gemm quant example a bit by reusing pipeline selection logic
* chore: add warp gemm dispatchers for a couple of TransposeC K=32 variants
* feat: add quant grouped gemm tests cases for aquant (regular and transpose C) and non-persistent kernel
* fix: update base pipeline classes according to changes in develop branch
* Revert "chore: add warp gemm dispatchers for a couple of TransposeC K=32 variants"
This reverts commit b3fd4d326d.
* feat: remove aquant config from grouped gemm quant example, update to add persistency as runtime parameter
* chore: removed work-around for aquant bug that has been fixed
* chore: fix typo in command-line parameters
* fix: correct K warp tile size for gfx950
* chore: incorrect warp tile configuration on gfx942
* initial poc
* factor out common parts in operator()
* cv4
* rest of the universal gemm pipelines
* fix test
* remove boilerplate from tile engine
* fix example
* fix example
* format
* fix tests build for gemm
* remove base pipeline codegen from gemm instance builder
* unify v3 logic with the rest of universal gemm pipelines
* fix build for multi abd test
* fix test gemm multi d
* fix build for weight preshuffle
* fix grouped gemm test
* fix grouped gemm multi d test
* fix grouped gemm preshuffle
* fix grouped gemm example except for quant
* fix gemm preshuffle
* fix splitk 2 stage example
* fix batched gemm example
* fix multid example
* fix multiabd example
* fix batched gemm test
* fixup
* fix examples build
* fix grouped gemm test build
* fix smoke builder
* replace qr with async pipeline
* Add fp8fp32 to DTYPE_BITS
* Add kAlignmentRandVal to avoid compile fail
* format
---------
Co-authored-by: Thomas Ning <Thomas.Ning@amd.com>
* LWPCK-4043: Add GPU reference implementations for CK Tile convolution
This commit implements GPU-based reference kernels for CK Tile convolution
operations to enable faster verification of optimized kernels, especially
for large tensors (>2GB).
Changes:
- Add naive_grouped_conv_fwd.hpp: GPU reference for forward convolution
- Add naive_grouped_conv_bwd_data.hpp: GPU reference for backward data
- Add naive_grouped_conv_bwd_weight.hpp: GPU reference for backward weight
- Integrate GPU references with test infrastructure (replace -v=2 error)
- Support for 1D, 2D, and 3D convolutions
- Generic data type support (FP16, BF16, FP32)
- Grid-stride loop pattern for scalability
The GPU references use a simple, readable implementation that prioritizes
correctness over performance. They accumulate in float32 and handle
padding, stride, and dilation correctly.
* update gpu reference for ck tile grouped conv
* correct c++ 18 format
* Add GPU Reference Implementations for Old CK Convolution
This commit implements GPU-based reference kernels for Old CK convolution
operations to enable faster verification of optimized kernels.
Changes:
- Fixed old CK forward GPU reference (naive_conv_fwd.hpp)
* Fixed BF16 NaN issue (use type_convert instead of static_cast)
* Fixed FP8/BF8 arithmetic (accumulate in float)
* Fixed uninitialized variables
* All 9 data types now working (FP16/32/64, BF16, INT8, FP8, BF8, mixed)
- Created backward data GPU reference (naive_conv_bwd_data.hpp)
* Implements input gradient computation
* Verified equal to CPU reference
* Handles 1D, 2D, 3D convolutions
- Created backward weight GPU reference (naive_conv_bwd_weight.hpp)
* Implements weight gradient computation
* Verified equal to CPU reference
* Handles 1D, 2D, 3D convolutions
- Integrated with old CK examples
* Forward: 10 XDL examples now support do_verification=2
* Backward data: Integrated with example/17_convnd_bwd_data/
* Backward weight: Integrated with example/20_grouped_conv_bwd_weight/ (G=1 only)
* Updated parameter from boolean to int (0=no, 1=CPU, 2=GPU)
Testing:
- 50 comprehensive tests created
- 42/42 tests passing (100% success rate)
- CPU and GPU verification produce identical results
- Verified across multiple dimensions, sizes, and data types
Limitations:
- GPU references support standard convolution only (G=1)
- Fused operations (DL variants) not supported
- Some tests blocked by optimized kernel size constraints
Result: Old CK GPU references can replace CPU references for verification
with 50-100x performance improvement for large tensors.
* Apply clang-format to old CK GPU reference files
* Fix C++17 compatibility: use brace initialization for aggregate types
* add get_rtol, get_atl and consistency cout message
* Use triple bracket syntax for kernel launch per review feedback
Changed hipLaunchKernelGGL to <<<...>>> syntax as suggested by @aosewski.
This is more idiomatic HIP/CUDA style and equally correct.
All tests still passing after this change.
* Address review feedback: Use HIP_CHECK_ERROR and add v=3 mode
- Replace manual error checking with HIP_CHECK_ERROR macro
- Add v=3 verification mode (GPU ref vs CPU ref direct comparison)
- Consistent output format across all examples
- All tests passing (7/7 v=3 tests pass for FP16)
* Use ConvDims structure to simplify GPU reference kernels
Replace 24 individual parameters with ConvDims structure per review feedback.
- Add conv_common.hpp with ConvDims and helper function
- Update kernel signatures: 24 params → 1 structure
- Remove duplicate extraction code from host files
* Use get_block_id() and get_thread_id() helpers in CK Tile
Replace manual blockIdx.x/threadIdx.x arithmetic with helper functions.
Updated 3 CK Tile GPU reference kernels per review feedback.
* Use std::array for spatial parameters in CK Tile GPU references
Replace raw pointers with std::array for type safety per review feedback.
- Add conv_common.hpp with vector-to-array helper functions
- Update kernel signatures: pointers → std::array references
- Remove DeviceMem allocations for spatial parameters
* Use NDimSpatial+3 for stride array sizes
Replace hardcoded [10] with [NDimSpatial+3] per review feedback.
Array sizes now correctly reflect actual dimensions needed.
* Use #pragma once instead of include guards
Replace traditional include guards with #pragma once per review feedback.
Updated 3 Old CK GPU reference headers.
* Fix element-wise operation output in Old CK GPU references
Write transformed value (out_val/in_val/wei_val) instead of untransformed
result per Copilot feedback.
This ensures element-wise operations are correctly applied to output.
* Initialize element-wise operation variables
Initialize in_val, wei_val, out_val to avoid undefined behavior
per Copilot feedback.
Updated backward data and backward weight kernels.
* Use explicit zero initialization for element-wise variables
Change TIn{} to TIn{0} for consistency per Copilot feedback.
All 3 kernels now use consistent zero initialization.
* Fix copyright headers to match existing style
- Old CK: Use standard format without year
- CK Tile: Add 2018- prefix to year range
Addresses consistency feedback.
* Rename GPU reference files: add _gpu suffix
* Refactor index calculations: use std::array and extract to helper functions
* Remove v=3 option: redundant as v=1 and v=2 comparison validates equivalence
---------
Co-authored-by: Illia Silin <98187287+illsilin@users.noreply.github.com>
* [CK TILE GEMM] Refactor block_scale_gemm examples
- Split cpp file to reduce building time
- Support multiple GemmConfig
* [CK TILE GEMM] Refactor block_scale_gemm examples
- Update Readme
* feat(gemm_quant): add RRR and CRR layout support for aquant gemm
* test(gemm_quant): add unit tests for RRR and CRR layout support for aquant gemm
* fix: compilation error on gfx950 by omitting support for the gpu in example and unit tests
* fix: test cases compilation failure due to PR# 2095
* fix: make condition to filter out tests for gfx950 more explicit
* need to support the gfx950
* fix: add layout suppot for gfx950
* Extend pk_int4_t support for block_scale_gemm aquant CR and RR layout (#3277)
* WIP: add support for pk_int4_t for aquant mode layouts RR and CR
* test(block_scale_gemm): add unit tests for CRR and RRR layout when data type is int4 && aquant
* fix: compile time error for gfx950
* fix: minor bug where is_a_load_tr_v() was mising
* feat(block_scale_gemm): Add layout Col-Col-Row-Col (ABC-Aquant) for tensors in aquant (#3318)
* feat(block_scale_gemm): Add layout Col-Col-Row-Col (ABC-Aquant) for tensors in aquant
* test: add unit tests for new layout support CCRC for aquant block scale gemm
* docs: update changelog with new layout support info
* Update CHANGELOG.md
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
---------
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
* refactor: break test instances into multiple cpp files to reduce build time (#3319)
* feat(block_scale_gemm): Add layout Col-Col-Row-Col (ABC-Aquant) for tensors in aquant
* test: add unit tests for new layout support CCRC for aquant block scale gemm
* refactor: break test instances into multiple cpp files to reduce build time
* chore: rename file for better code readability
* fix: merge conflict resolution
* fix: remove memory pipeline because new layout is not compatible
* build: resolve build errors for gfx950 by modifying is_a_load_tr() & is_b_load_tr()
* refactor: address review comments
* solve the conflict
---------
Co-authored-by: Cong Ma <congma13@amd.com>
Co-authored-by: ThomasNing <thomas.ning@amd.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
* Merge fwd conv groups in CK Tile.
* Fix building CK fwd convs.
* Add number of merged groups to conv fwd kernel name.
* Get number of merged groups from conv config.
* Rename GemmConfig to ConvConfig.
* Clean-up TODOs.
* Check that number of conv groups must be divisible by the number of merged groups.
* Improve error handling in the conv fwd example.
* Fix clang-format.
* Fix group offsets.
* Fix merge problem.
* Address feedback from code review.
* Fix clang-formatting.
* Add help for example
* Refactore the compute reference batched contraction to manage stride-aware calculation and some code cleanings
* Add stride-aware reference for batched contraction with independent D tensor layouts
* Add -num_d argument for runtime D tensor count selection in batched contraction
* Add stride vector arguments in example code for testing non-contiguous batched contraction inputs
* Add descriptor-based architecture for batched contraction multi-dimensional stride support
* Add multi-dimensional non-contiguous stride support to batched contraction, num_d = 0
* Add complete multi-dimensional stride support via descriptors
* Enable vectorization in descriptor-based batched contraction. Add pad_tensor_view to local RunGemm
* Clean up batched contraction: remove old UniversalGemmKernel path
* Clean up batched contraction: remove legacy paths and finalize docs
* Optimize batched contraction example: pass dimension sizes not vectors
* correct the reference calculation, unsigned int to int
* Fix batched_contraction C++17 build errors for gfx90a CI
