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 | ||
| DataMovement.cpp | ||
| IndirectDataMovement.cpp | ||
| Linear.cpp | ||
| Pooling.cpp | ||
| PopulatePatterns.h | ||
| Random.cpp | ||
| Reduction.cpp | ||
| TensorConstructors.cpp | ||
| TensorScalarInterop.cpp | ||
| TorchToLinalg.cpp | ||
| Uncategorized.cpp | ||
| Utils.cpp | ||