mirror of https://github.com/llvm/torch-mlir
d2bc70f188
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. |
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| .. | ||
| configs | ||
| debug | ||
| linalg_on_tensors_backends | ||
| stablehlo_backends | ||
| test_suite | ||
| tosa_backends | ||
| CMakeLists.txt | ||
| __init__.py | ||
| annotations.py | ||
| framework.py | ||
| registry.py | ||
| reporting.py | ||
| utils.py | ||