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). |
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| .. | ||
| CAPI | ||
| Conversion | ||
| Dialect | ||
| RefBackend | ||
| python | ||
| CMakeLists.txt | ||
| lit.cfg.py | ||
| lit.site.cfg.py.in | ||