torch-mlir/projects/pt1
zjgarvey d2bc70f188
[TorchToLinalg][ONNX] Add Basic Determinant Support (#3481)
This adds support for a few ops:

- torch.linalg_det
- torch._linalg_det (if the LU and pivot returns are unused)
- onnx.Det

An scf loop is used, since the row reduction algorithm applied here has
some loop-carried dependencies.
The current support being added here is very basic, and only works if no
permutations are required during row reduction, and assumes the matrices
are non-singular.
2024-06-25 13:34:19 -05:00
..
e2e_testing [TorchToLinalg][ONNX] Add Basic Determinant Support (#3481) 2024-06-25 13:34:19 -05:00
examples [FxImporter] Add an e2e test example for FxImporter (#3331) 2024-05-14 00:45:19 +08:00
python [TorchToLinalg][ONNX] Add Basic Determinant Support (#3481) 2024-06-25 13:34:19 -05:00
test [NFC] Update black version (#3256) 2024-04-29 11:06:01 +08:00
tools Re-organize project structure to separate PyTorch dependencies from core project. (#2542) 2023-11-02 19:45:55 -07:00
CMakeLists.txt Re-organize project structure to separate PyTorch dependencies from core project. (#2542) 2023-11-02 19:45:55 -07:00