* ck-builder: remove SPATIAL_DIM parameter from ConvTensorLayouts
This information is already in the SIGNATURE, so its pointless to pass it
separately. This streamlines the interface of those functions a bit. Also
touches up the style of those files in general.
* ck-builder: implement reference conv using old ck
The old ck implementation is more featureful and better tested.
* ck-builder: replace test_reference_execution reference with old ck
This strips out the ck-tile gpu reference implementation completely.
* ck-builder: clean up test_reference_execution
- Remove unneccesary messages
- Replace EXPECT_TRUE(true) with EXPECT_NO_THROW()
[ROCm/composable_kernel commit: 1040d9b1f5]
* wip: test suite for batched gemm multiple d gemm multiple d, working on gridwise implenentation
* wip: many fixes in implementation of batched gemm gemm multiple d
* wip: batched gemm gemm multiple d gridwise op compiling, not working yet
* fix: incorrect d0 grid indexing in batched gemm gemm multipled
* feat: add instances for batched gemm add relu gemm add
* chore: configure instance with low vector transfer size for odd sizes
* chore: add some more validation to device batched gemm gemm multiple d, and removed template parameter that didn't really make sense
* fix: upate device_batched_gemm_gemm_wmma to work with new gridwise changes
* fix: disable odd size tests on XDL archs
* chore: removed temporary logging
* chore: update some references to C tensor to E tensor
* Tentative fix for example template params
* Tentative fix for non-multi-D batched gemm gemm device impl.
* Tentative fix for xdl example template params
* Tentative fix for profiler build on gfx90a
* chore: improve device batched gemm gemm multi D comment to include all ops and dimensions
* chore: explicitly call ck::make_tuple to prevent issues when std::make_tuple would apply
* fix: make the gemm1 data types match what happens in the device op
* feat: add d0s/d1s datatypes and layouts to the device op type string
* chore: change element-wise op so addition happens in fp32
* chore: add static asserts for gemm0/gemm1 calculated wave sizes
* chore: also updated other element-wise ops to use fp32 calculations
* chore: log number of supported instances
* chore: update instance comment
* chore: disable kernel timing in example by default
* fix: gemm1 wave size calculation
* fix: make sure batched gemm multiple d gemm multiple d profiler performs correct type conversions
* chore: remove increased tolerance in batched gemm gemm multiple d example
* chore: add comment explaining that verification fails for certain input values
* chore: clarify instance comment
---------
Co-authored-by: kiefer <kiefer.van.teutem@streamhpc.com>
[ROCm/composable_kernel commit: d5ae81b292]
Add signal-based synchronization for persistent GEMM kernels where
input data becomes available incrementally. Uses modulo wraparound
(like PyTorch's AsyncMM) for chunk index calculation:
chunk_idx = ((tile_idx + tile_idx_pivot) / tiles_per_chunk) % num_chunks
Key components:
- PersistentAsyncInputScheduler struct with tiles_per_chunk_m,
chunk_signals, tile_idx_pivot_m, and num_chunks fields
- wait_eq_wave method using __builtin_amdgcn_s_sleep for power efficiency
- IsSupportedArgument validation for scheduler parameters
- Example demonstrating async input scheduling with simulated producer
- GTest unit tests covering all layout combinations
[ROCm/composable_kernel commit: 91b4102a59]
* Add support to fp16 + compute fp16 and bf16 + compute bf16 contractions
Enables hipTensor to access the WMMA HW functionalities
for these combinations of datatype on gfx11 and gfx12.
* Fix change to contraction scale tests
* Fix clang-format
[ROCm/composable_kernel commit: 7d8bca7ddc]
This change improves the clang-format CI check to be faster and not
depend on git being available in the build environment.
Changes:
- Use `find` instead of `git ls-files` (no git dependency)
- Check all C++ files: *.h, *.hpp, *.cpp, *.h.in, *.hpp.in, *.cpp.in, *.cl
- Exclude build/ and include/rapidjson directories
- Use parallel processing with 8 cores (-P 8) for ~8x speedup
- Show only errors with unified diff format (-u)
- Clear error messages: "ERROR: <file> needs formatting"
- Preserve original logic: run clang-format only when RUN_CPPCHECK=false,
or run both clang-format and cppcheck when RUN_CPPCHECK=true
Performance:
- Sequential processing: ~93 seconds for 5,899 files
- Parallel with 8 cores: ~12 seconds for 5,899 files
- Per-file processing time: ~15ms
This reduces CI time while maintaining code formatting standards.
[ROCm/composable_kernel commit: 98abfa4ade]
* Rename member variable to better reflect its actuall meaning.
* Add transfer checks for conv fwd xdl.
* Validate tensor layouts & vector size conv fwd v3.
* Add combined transfer concepts.
* Add transfer concepts for conv fwd factories.
* Fix clang format
* Add helper instruction to get max mem vector instruction width.
* Apply review comments.
* Rename thread cluster access(->arrange) order concept
* FIx merge artifacts.
* Add generic access order limits into block transfer concept.
[ROCm/composable_kernel commit: 1a6d1b59ef]
* feat: test setup for batched contraction (aka batched gemm multiple d e permute)
* wip: device struct for WMMA batched contraction multiple d based on new gridwise op
* feat: working batched contraction on RDNA, non-naive tensor descriptors for gridwise_gemm_wmma_cshuffle_v3, test setup for odd cases
* fix: failure to resolve template parameters when calling new function overload
* fix: passing reference type as parameter instead of underlying types
* fix: merge error caused duplicate definitions
* fix: make sure constness of template and parameters types match
* fix: don't compile batched contraction test on unsupported architectures
* feat: add example for new wmma implementation, and consolidate example code between platforms
* style: return inline instead of with branch
* chore: add extra assert on vector memory access sizes
* chore: clean up some unused variables
* fix: correct tail number calculation, added small cases and extra instances to the test
* fix: properly support wave transfer by generating correct grid descriptors dependent on the transfer method
[ROCm/composable_kernel commit: fe40a5d139]
* Fix large case init bounds
* Revert "Fix large case init bounds"
This reverts commit 1abca05c6f.
* Restore CPU initialization for do_verification != 2
[ROCm/composable_kernel commit: 3f735c127b]
1. Added `-DCK_EXPERIMENTAL_BUILDER=OFF` to the `setup_args` to explicitly disable the experimental builder
2. Added a detailed comment explaining why this is necessary:
- SLES15 is a legacy platform with limited C++20 ecosystem support
- While the ROCm compiler supports C++20, the older system libraries and standard library implementation on SLES15 does not reliably support all C++20 features required by the experimental CK Builder
[ROCm/composable_kernel commit: 2d233c838a]
