torch-mlir/python
Sean Silva 6b637a9fd9 Move e2e test definitions into the `torch_mlir_e2e_test` package
This is the first step to making the e2e framework convenient to use
by downstream backends.
2022-03-25 13:56:41 -07:00
..
test Make error reporting a bit better. 2021-10-28 13:20:16 -07:00
torch_mlir [LINALG] Add E2E support for `aten.zero_` op 2022-03-25 12:46:50 +05:30
torch_mlir_e2e_test Move e2e test definitions into the `torch_mlir_e2e_test` package 2022-03-25 13:56:41 -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