mirror of https://github.com/llvm/torch-mlir
074098d20c
Updates: - some unsupported modes are now going to report a match failure for unsupported coordinate transformation modes. - fixes a bug that was introduced in the last patch for resize (my bad...) - uses actual x and y coordinates for computing weights in bilinear interpolation (rather than eps modified values) - slightly simplifies the bilinear interpolation payload for readability and performance - passes coordinate transformation mode information from an onnx.Resize op to the mode string for the aten._interpolate op. This allows us to perform custom logic in the torch->linalg lowering to support onnx.Resize options without losing the default behaviors of the interpolate op. |
||
|---|---|---|
| .. | ||
| TorchConversionToMLProgram | ||
| TorchOnnxToTorch | ||
| TorchToArith | ||
| TorchToLinalg | ||
| TorchToSCF | ||
| TorchToStablehlo | ||
| TorchToTMTensor | ||
| TorchToTensor | ||
| TorchToTosa | ||
| Utils | ||
| CMakeLists.txt | ||
| PassDetail.h | ||
| Passes.cpp | ||