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. |
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| .. | ||
| basic.mlir | ||
| broadcast.mlir | ||
| convolution.mlir | ||
| elementwise.mlir | ||
| flatten.mlir | ||
| gridsampler.mlir | ||
| pooling.mlir | ||
| resize.mlir | ||
| sparse.mlir | ||
| unsqueeze.mlir | ||
| view.mlir | ||
| view_strict.mlir | ||