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Fix test fails due to upstream PyTorch change (#793) 

* Add to eager tests to xfail while they are fixed.

Also XFAIL ConstantPad2dStaticModule_basic.

* Fix test fails due to upstream PyTorch change.
pull/798/head
Maksim Levental 2022-04-25 14:34:32 -05:00 committed by GitHub
parent 6b3d0b7e7a
commit 693f79a2b6
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2 changed files with 2 additions and 1 deletions
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2
python/torch_mlir/eager_mode/torch_mlir_dispatch.py
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@ -63,7 +63,7 @@ def normalize_args_kwargs(target: Callable, args: Tuple[Any], kwargs: Dict[str,
}
new_args_and_kwargs = normalize_function(
target, args, kwargs, arg_types, kwarg_types, normalize_to_only_use_kwargs=False
target.op, args, kwargs, arg_types, kwarg_types, normalize_to_only_use_kwargs=False
)
assert new_args_and_kwargs, "Couldn't normalize args and kwargs"
new_args, new_kwargs = new_args_and_kwargs

1
python/torch_mlir_e2e_test/test_suite/__init__.py
View File

@ -15,6 +15,7 @@ COMMON_TORCH_MLIR_LOWERING_XFAILS = {
"ConvolutionModule1D_basic",
"MaxPool2dWith3dInputModule_basic",
"MaxPool2dWithIndicesWith3dInputModule_basic",
"ConstantPad2dStaticModule_basic",
}
def register_all_tests():