mirror of https://github.com/llvm/torch-mlir
7f2a17e757
The saga of aligning onnx and torch padding conventions continues. ```python onnx_pads = [low_x, low_y, low_z, high_x, high_y, high_z] torch_pads = [low_z, high_z, low_y, high_y, low_x, high_x] ``` So not only is the lexicographical ordering hierarchy swapped (low/high x spatial-dim -> spatial-dim x low/high) but the ordering in the the spatial-dim specification is also reversed. This patch properly reverses the pad ordering (and actually uses the `shuffledPadding` to pad). |
||
|---|---|---|
| .. | ||
| TorchConversionToMLProgram | ||
| TorchOnnxToTorch | ||
| TorchToArith | ||
| TorchToLinalg | ||
| TorchToSCF | ||
| TorchToStablehlo | ||
| TorchToTMTensor | ||
| TorchToTensor | ||
| TorchToTosa | ||
| Utils | ||
| CMakeLists.txt | ||
| PassDetail.h | ||
| Passes.cpp | ||