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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.. | ||
CMakeLists.txt | ||
DefaultDomainAtoF.cpp | ||
DefaultDomainGtoP.cpp | ||
DefaultDomainQtoZ.cpp | ||
OnnxLstmExpander.cpp | ||
PassDetail.h | ||
Passes.cpp | ||
Patterns.cpp | ||
TorchOnnxToTorch.cpp | ||
Utils.cpp |