torch-mlir/python
Sean Silva 3b5310d6d2 Move COMMON_TORCH_MLIR_LOWERING_XFAILS into test_suite
That way, downstreams don't have to duplicate this list.

Also, remove "external config" feature, since it is subsumed by just
importing the test suite.
2022-04-19 14:32:58 -07:00
..
test Fix kwarg annotation in eager (#747) 2022-04-11 17:35:42 -05:00
torch_mlir [MLIR][TORCH] Add E2E support for max_pool2d_with_indices op 2022-04-18 21:05:19 +05:30
torch_mlir_e2e_test Move COMMON_TORCH_MLIR_LOWERING_XFAILS into test_suite 2022-04-19 14:32:58 -07:00
CMakeLists.txt This PR implements an eager mode backend for PyTorch through the torch-mlir framework. This is accomplished by overriding the `__torch_dispatch__` class method on wrapper subclass `TorchMLIRTensor(torch.Tensor)`. 2022-03-22 14:42:57 -07:00
TorchMLIRModule.cpp Dual license the torch-mlir project. 2021-10-01 10:46:08 -07:00