torch-mlir/python
Ramiro Leal-Cavazos 52dbb160fc
Replace `torch.rand` and `torch.randn` in e2e tests with `tu.rand` (#1890)
Random tensors used in e2e tests should be created using the
`TestUtils` object passed to the registered test case to ensure that
the compiled module and the golden trace receive the same tensors as
input. This commit changes all the cases of `torch.rand` and
`torch.randn` to use the `TestUtils` instead.
2023-02-21 14:30:05 -08:00
..
test build: manually update PyTorch version 2023-01-11 17:39:10 +05:30
torch_mlir [Torch] decompose aten.norm.ScalarOpt_dim to aten.linalg_vector_norm (#1849) 2023-02-20 20:08:29 -08:00
torch_mlir_e2e_test Replace `torch.rand` and `torch.randn` in e2e tests with `tu.rand` (#1890) 2023-02-21 14:30:05 -08:00
CMakeLists.txt WIP: No PyTorch dep (#1854) 2023-02-13 14:21:06 -06:00
TorchMLIRModule.cpp Miscellaneous fixes for Windows builds (#1376) 2022-09-29 12:07:43 -05:00