mirror of https://github.com/llvm/torch-mlir
6f81ad7293
With strict symbolic shapes, we can assume numpy-style dynamic broadcasts never occur. This improves the lowering in the presence of this assumption. |
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TorchConversionToMLProgram | ||
TorchToArith | ||
TorchToLinalg | ||
TorchToSCF | ||
TorchToStablehlo | ||
TorchToTMTensor | ||
TorchToTosa | ||
Utils | ||
CMakeLists.txt | ||
PassDetail.h | ||
Passes.cpp |