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https://github.com/ROCm/composable_kernel.git
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7ce0127e8f
* WIP POC of dispatcher
* Dispatcher python workflow setup.
* Dispatcher cleanup and updates.
Further dispatcher cleanup and updates.
Build fixes
Improvements and python to CK example
Improvements to readme
* Fixes to python paths
* Cleaning up code
* Improving dispatcher support for different arch
Fixing typos
* Fix formatting errors
* Cleaning up examples
* Improving codegeneration
* Improving and fixing C++ examples
* Adding conv functionality (fwd,bwd,bwdw) and examples.
* Fixes based on feedback.
* Further fixes based on feedback.
* Adding stress test for autogeneration and autocorrection, and fixing preshuffle bug.
* Another round of improvements based on feedback.
* Trimming out unnecessary code.
* Fixing the multi-D implementation.
* Using gpu verification for gemms and fixing convolutions tflops calculation.
* Fix counter usage issue and arch filtering per ops.
* Adding changelog and other fixes.
* Improve examples and resolve critical bugs.
* Reduce build time for python examples.
* Fixing minor bug.
* Fix compilation error.
* Improve installation instructions for dispatcher.
* Add docker based installation instructions for dispatcher.
* Fixing arch-based filtering to match tile engine.
* Remove dead code and fix arch filtering.
* Minor bugfix.
* Updates after rebase.
* Trimming code.
* Fix copyright headers.
* Consolidate examples, cut down code.
* Minor fixes.
* Improving python examples.
* Update readmes.
* Remove conv functionality.
* Cleanup following conv removable.
[ROCm/composable_kernel commit: 9e049a32a1]
44 lines
726 B
INI
44 lines
726 B
INI
[pytest]
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# Pytest configuration for CK Tile Dispatcher Python tests
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# Test discovery
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python_files = test_*.py
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python_classes = Test*
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python_functions = test_*
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# Test paths
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testpaths = tests
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# Options
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addopts =
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-v
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--strict-markers
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--tb=short
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--color=yes
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--durations=10
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# Markers
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markers =
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slow: marks tests as slow (deselect with '-m "not slow"')
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cuda: marks tests requiring CUDA/ROCm
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torch: marks tests requiring PyTorch
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integration: marks integration tests
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unit: marks unit tests
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# Coverage
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[coverage:run]
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source = .
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omit =
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*/tests/*
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*/examples/*
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setup.py
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[coverage:report]
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precision = 2
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show_missing = True
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skip_covered = False
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[coverage:html]
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directory = htmlcov
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