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https://github.com/ROCm/composable_kernel.git
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[CK_TILE] Integrate CK Tile Dispatcher code generation into CK Tile Profiler (#7284) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Motivation CK Tile is going to be delivered to hipDNN via CK Dispatcher. Currently the CK Tile Profiler using CK Builder for generating the profiled instances from the configuration files that identify the instances that old CK exposes. We need to replace this instance generation with the CK Tile Dispatcher codegen. ## Technical Details The old CK Profiler config files are converted to JSON files that the CK Tile Dispatcher can digest. The conversion script for configurations is stored to source control in case we need to update the JSON configurations later. The dispatcher generates instance libraries per conv direction (fwd, bwd data, and bwd weight) that are linked to the CK Profiler executable. I also implemented codegne for the stream-K and depthwise conv instances. The proposed solution replaces the CK Builder codegen with the CK Tile Dispatcher codegen. There are two new methods that are exposed via the dispatcher backend - `is_supported` - required to enabled the profiler workflow where we check the applicability of the kernel instance before running it. - `get_instance_string` - this mainly for verification. This provide the CK Builder instance string for verifying that the old CK Builder based profiler and the new CK Tile Dispatcher based profiler have the same instances. The rules that limit the generated instances are now collected to a single location under the dispacther. The CK Builder codegen uses these, which ensures that the two codegen pipelines are in sync. The next step (different PR) is to remove the CK Builder codegen pipeline altogether. ## Test Plan Verified that the old CK Builder based profiler and the new CK Tile Dispatcher based profiler have the same instances, that is, the Dispatcher based codgen can generate the same instances as the old CK Builder. ## Submission Checklist - [x] Look over the contributing guidelines at https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests.
144 lines
2.8 KiB
Plaintext
144 lines
2.8 KiB
Plaintext
# Compiled Object files
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*.slo
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*.lo
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*.o
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*.obj
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# Precompiled Headers
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*.gch
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*.pch
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*.ipch
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# Compiled Dynamic libraries
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*.so
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*.dylib
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*.dll
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# Fortran module files
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*.mod
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# Compiled Static libraries
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*.lai
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*.la
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*.a
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*.lib
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# Executables
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*.exe
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*.out
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*.app
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# vim tags
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tags
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.tags
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.*.swp
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# Editors
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.vscode
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# CMake formatting configuration (local)
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.cmake-format.yaml
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# Cline
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.cline*
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# build-in-source directory (see exceptions below)
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build*
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# emacs temporary/backup files
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.\#*
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\#*\#
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*~
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# GDB temporary files
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.gdb_history
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install.dir*
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# documentation artifacts
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_build/
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_images/
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_static/
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_templates/
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_toc.yml
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_doxygen/
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docs/doxygen/html
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docs/doxygen/xml
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# JetBrains IDE (see build* exceptions below)
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.idea/
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cmake-build*/
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build*/
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# LSP configuration
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.clangd
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# User-defined CMake presets
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CMakeUserPresets.json
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# Python virtualenv
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.venv/
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# Python cache
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__pycache__/
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# Cache directories
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.cache/
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.ck_tile_cache/
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ck_tile_cache/
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**/kernel_cache/
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**/.kernel_cache/
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# Dispatcher kernel cache (user-generated, can be large)
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dispatcher/**/kernel_cache/
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dispatcher/**/.kernel_cache/
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dispatcher/**/cached_kernels/
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dispatcher/**/*.hsaco
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dispatcher/**/*.co
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# Dispatcher generated JSON exports
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dispatcher/**/*_kernels.json
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dispatcher/**/dispatcher_kernels.json
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# Generated test data
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test_data/*
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!test_data/*.py
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!test_data/*.sh
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!test_data/requirements.txt
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# Exceptions to build* patterns above
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# The experimental/builder directory should be tracked despite matching build*
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!experimental/builder
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!experimental/builder/**
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experimental/grouped_convolution_tile_instances/instances/*
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!experimental/grouped_convolution_tile_instances/instances/*.in
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!experimental/grouped_convolution_tile_instances/instances/*.inc
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!experimental/grouped_convolution_tile_instances/instances/*.hpp
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experimental/grouped_convolution_tile_instances/*.inc
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# Heuristics: benchmark data (never in git)
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dispatcher/heuristics/data/
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# Heuristics: experimental/training artifacts (exclude from git)
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dispatcher/heuristics/models/**/oof_predictions.parquet
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dispatcher/heuristics/models/**/cv_metrics_*.json
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dispatcher/heuristics/models/**/eval_report.json
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dispatcher/heuristics/models/**/feature_importances_*.json
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dispatcher/heuristics/models/**/model_tflops_ihem.lgbm
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dispatcher/heuristics/models/**/model_tflops_log.lgbm
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dispatcher/heuristics/models/**/model_tflops_log_big.lgbm
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# Heuristics: keep in git (production model files):
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# models/{op}_{dtype}_{arch}/model_tflops.lgbm
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# models/{op}_{dtype}_{arch}/model_latency.lgbm
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# models/{op}_{dtype}_{arch}/model_bandwidth.lgbm
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# models/{op}_{dtype}_{arch}/feature_spec.json
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# models/{op}_{dtype}_{arch}/train_manifest.json
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# Heuristics: logs and caches
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dispatcher/heuristics/*.log
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dispatcher/heuristics/__pycache__/
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dispatcher/heuristics/tests/__pycache__/
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dispatcher/heuristics/.pytest_cache/
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# CLAUDE markdown files
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CLAUDE.md
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