mirror of https://github.com/llvm/torch-mlir
aca33f1742
I've upstreamed the necessary quantized linalg Op with the "channel-first" ordering used by torch (https://github.com/llvm/llvm-project/pull/107740) for 2d convolution. This patch changes the lowering for the quantized 2d case of `aten.convolution` accordingly, which saves three transpositions per convolution (input, weights, result) and therefore removes the requirement to try to optimize these away in downstream passes. |
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| .. | ||
| TorchConversionToMLProgram | ||
| TorchOnnxToTorch | ||
| TorchToArith | ||
| TorchToLinalg | ||
| TorchToSCF | ||
| TorchToStablehlo | ||
| TorchToTMTensor | ||
| TorchToTensor | ||
| TorchToTosa | ||
| Utils | ||
| CMakeLists.txt | ||
| PassDetail.h | ||
| Passes.cpp | ||