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I am trying to give some test files better owner labels than `module: unknown`. I am not sure them, but they seem pretty reasonable Pull Request resolved: https://github.com/pytorch/pytorch/pull/163203 Approved by: https://github.com/jcaip
66 lines
1.6 KiB
Python
66 lines
1.6 KiB
Python
# Owner(s): ["module: sparse"]
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import logging
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# Kernels
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from ao.sparsity.test_kernels import ( # noqa: F401
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TestQuantizedSparseKernels,
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TestQuantizedSparseLayers,
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)
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# Parametrizations
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from ao.sparsity.test_parametrization import TestFakeSparsity # noqa: F401
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# Scheduler
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from ao.sparsity.test_scheduler import TestCubicScheduler, TestScheduler # noqa: F401
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# Sparsifier
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from ao.sparsity.test_sparsifier import ( # noqa: F401
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TestBaseSparsifier,
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TestNearlyDiagonalSparsifier,
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TestWeightNormSparsifier,
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)
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# Structured Pruning
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from ao.sparsity.test_structured_sparsifier import ( # noqa: F401
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TestBaseStructuredSparsifier,
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TestFPGMPruner,
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TestSaliencyPruner,
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)
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from torch.testing._internal.common_utils import IS_ARM64, run_tests
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# Composability
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if not IS_ARM64:
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from ao.sparsity.test_composability import ( # noqa: F401
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TestComposability,
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TestFxComposability,
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)
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# Activation Sparsifier
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from ao.sparsity.test_activation_sparsifier import ( # noqa: F401
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TestActivationSparsifier,
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)
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# Data Scheduler
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from ao.sparsity.test_data_scheduler import TestBaseDataScheduler # noqa: F401
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# Data Sparsifier
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from ao.sparsity.test_data_sparsifier import ( # noqa: F401
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TestBaseDataSparsifier,
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TestNormDataSparsifiers,
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TestQuantizationUtils,
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)
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# Utilities
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from ao.sparsity.test_sparsity_utils import TestSparsityUtilFunctions # noqa: F401
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if __name__ == "__main__":
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logging.basicConfig(
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format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
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level=logging.INFO,
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)
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run_tests()
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