Add flex attention example
Proposed changes
FlexAttention is a customization of Fused Multi-Head Attention where the attention scores are customizeable with a function score_mod (score: float, batch_idx: int, head_idx: int, q_idx: int, v_idx: int) -> new_score: float
Added a new example which copied and customized (1) code generation, (2) pipelines and (3) kernel from 01_fmha
The score modifier is a command-line argument to generate.py
The source of truth for the score modifier is a variable defined in CMakeLists
Running:
- (only once, create workdir)
mkdir build && cd build - (optional, clean up the generated files)
rm -r example/ck_tile/18_flexattn/ cmake .. -G Ninja -D CMAKE_PREFIX_PATH=/opt/rocm -D CMAKE_CXX_COMPILER=/opt/rocm/bin/hipcc -D CMAKE_BUILD_TYPE=Release -D GPU_TARGETS="gfx942"ninja -j128 tile_example_flexattn_fwd- single run with default parameters:
./bin/tile_example_flexattn_fwd - full test: in composable_kernel folder,
./example/ck_tile/18_flexattn/script/run_full_test.sh
(done) added correctness check with host (done) debug numerical mismatch for batch-mode kernels, now the device and host results match for these kernels (done) re-add group-mode kernels for decoding TBD: debug performance, now the customized version is ~3x slower than original (done): revise indexing in group-mode, since there are numerical mismatches again after adding these kernels
Checklist
Please put an x 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
- [ ] 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.
- [ ] I have added inline documentation which enables the maintainers with understanding the motivation
- [ ] 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
clang-formaton 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
Awesome!
Archived at https://github.com/tenpercent/composable_kernel/tree/cktile-flexattn