mirror of https://github.com/llvm/torch-mlir
f85f5799e4
The current decomposition for `aten.randn.generator` does not specify the `dtype` argument of the empty tensors created to store the random values. This leads to invalid IR when the output type of the `randn` op is not the default PyTorch dtype. |
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.. | ||
TorchConversionToMLProgram | ||
TorchToArith | ||
TorchToLinalg | ||
TorchToSCF | ||
TorchToStablehlo | ||
TorchToTMTensor | ||
TorchToTosa | ||
Utils | ||
CMakeLists.txt | ||
PassDetail.h | ||
Passes.cpp |