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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|---|---|---|
| .. | ||
| TorchConversionToMLProgram | ||
| TorchOnnxToTorch | ||
| TorchToArith | ||
| TorchToLinalg | ||
| TorchToSCF | ||
| TorchToStablehlo | ||
| TorchToTMTensor | ||
| TorchToTensor | ||
| TorchToTosa | ||
| Utils | ||
| CMakeLists.txt | ||
| PassDetail.h | ||
| Passes.cpp | ||