test: Add umbrella test targets for CK Tile operations
(#4301)
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## Proposed changes
Adds operation-specific umbrella test targets for CK Tile to enable
running all tests for a specific operation without running the entire
test suite. This improves the development workflow by allowing faster
iteration when working on specific operations.
## Motivation
Previously, developers working on CK Tile operations could only:
- Run individual test executables one at a time
- Run global labels (, , ) which test the entire codebase
- Build all tests for an operation but had no simple way to run them all
This made it cumbersome to validate changes to a specific operation
(e.g., GEMM quantization) without either running tests individually or
running the entire test suite.
### Documentation
- - Comprehensive testing guide with usage examples and implementation
details
## Usage Examples
# Run all GEMM tests with 256 parallel jobs
ninja -j256 ck_tile_gemm_tests
# Run all GEMM block scale (quantization) tests
ninja -j256 ck_tile_gemm_block_scale_tests
# Run all GEMM StreamK tests
ninja -j256 ck_tile_gemm_streamk_tests
## Checklist
Please put an into the boxes that apply. You can also fill these out
after creating the PR. If you're not sure, please don't hesitate to ask.
- [x] I have added tests relevant to the introduced functionality, and
the unit tests are passing locally
- [x] I have added the test to REGRESSION_TESTS list defined at the top
of CMakeLists.txt in tests/CMakeLists.txt, **IF** the test takes more
than 30 seconds to run.
- [x] I have added inline documentation which enables the maintainers
with understanding the motivation
- [x] I have removed the stale documentation which is no longer relevant
after this pull request
- [ ] (If this change is user-facing) I have added release notes which
provide the end users with a brief summary of the improvement from this
pull request
- [x] I have run on all changed files
- [x] Any dependent changes have been merged
## Discussion
If this is a relatively large or complex change, feel free to start a
discussion by explaining why you chose the solution you did and what
alternatives you considered
* 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>
* 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
* chore(copyright): update copyright header for test directory
* chore(copyright): update copyright header for test directory
* chore(copyright): update copyright header for client_example directory
* chore(copyright): update copyright header for test directory
* General 2D Reduction Kernel
* Move the reduction kernel from the example
* Split the code and add the necessary policy, problem, shape files as
per ck_tile convention
* Add/modify the headers
* Modified the example to work with the 'new' kernel
* Added tests for the kernel
* N-D refernce reduce
* Added support for N-D input with transform to 2D
* Added padding to support various input sized tensors
* Bug fix in the thread buffer constructor
* Some comments to explain the reduce2d block kernel
* comments resolution
* clang-format
* comments resolution
* clang-format
* clang-format
* comments resolution
* clang-format
