torch-mlir/python/torch_mlir_e2e_test
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
..
linalg_on_tensors_backends Bump LLVM at 8361c5da30588d3d4a48eae648f53be1feb5cfad 2022-03-18 13:16:14 -04:00
test_suite Move e2e test definitions into the `torch_mlir_e2e_test` package 2022-03-25 13:56:41 -07:00
torchscript 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
tosa_backends [tosa] Enable tosa-to-linalg-named so Matmul works again (#530) 2022-01-19 12:10:04 -08:00
CMakeLists.txt Move external/torch-mlir to the root of the repo. 2021-09-27 17:11:08 -07:00
__init__.py Move external/torch-mlir to the root of the repo. 2021-09-27 17:11:08 -07:00
utils.py Include IR dump options on e2e failure report 2022-02-09 11:19:34 -05:00