Maksim Levental 18ef40acaf Fixes a bug in use of upstream `normalize_function` in our `normalize_args_kwargs` (in eager mode) and introduces unit tests. (#740) ... NB: `shouldnt_normalize2` and `shouldnt_normalize3` currently XPASS i.e., args *will* successfully normalize despite being incorrect due to an [upstream bug](https://github.com/pytorch/pytorch/issues/75342).		2022-04-11 16:17:44 -05:00
..
test	Fixes a bug in use of upstream `normalize_function` in our `normalize_args_kwargs` (in eager mode) and introduces unit tests. (#740)	2022-04-11 16:17:44 -05:00
torch_mlir	Fixes a bug in use of upstream `normalize_function` in our `normalize_args_kwargs` (in eager mode) and introduces unit tests. (#740)	2022-04-11 16:17:44 -05:00
torch_mlir_e2e_test	Add 2D case for convolution (#693)	2022-04-08 00:47:57 -04:00
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