mirror of https://github.com/llvm/torch-mlir
Triage e2e IREE failures for npcetest.
ResNet works with static shapes. (our test is not static though). All tests blocked on https://github.com/google/iree/issues/6629pull/272/head
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@ -41,7 +41,7 @@ def _get_argparse():
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if IREE_ENABLED:
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config_choices += ['iree']
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parser = argparse.ArgumentParser(description='Run torchscript e2e tests.')
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parser.add_argument('--config',
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parser.add_argument('-c', '--config',
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choices=config_choices,
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default='refbackend',
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help=f'''
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@ -21,10 +21,9 @@ _common_npcomp_lowering_xfails = {
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XFAIL_SETS['refbackend'] = _common_npcomp_lowering_xfails
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XFAIL_SETS['iree'] = _common_npcomp_lowering_xfails | {
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#https://reviews.llvm.org/D106658 to reach iree release
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'MaxPool2dModule_basic',
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# https://github.com/google/iree/issues/6629
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'Conv2dWithPaddingModule_basic',
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'Conv2dWithPaddingDilationStrideModule_basic',
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#https://github.com/google/iree/issues/6420
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'FlattenDynamicModule_basic',
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'ResNet18Module_basic'
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'ResNet18Module_basic',
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'MaxPool2dModule_basic',
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}
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