mirror of https://github.com/llvm/torch-mlir
e3faef5224
Leaning on the QDQ functionality in torch we can support the QLinearConv operation by piggybacking through `torch.Convolution`. This includes some changes such as allowing the `onnx` rewriter to run recursively. Doing so allows `QLinearConv` to decopmose to `onnx.Convolution` which is then lowered to `torch`. |
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| .. | ||
| CMakeLists.txt | ||
| DataMovement.cpp | ||
| IndirectDataMovement.cpp | ||
| Linear.cpp | ||
| Pooling.cpp | ||
| PopulatePatterns.h | ||
| Random.cpp | ||
| Reduction.cpp | ||
| TensorConstructors.cpp | ||
| TensorScalarInterop.cpp | ||
| TorchToLinalg.cpp | ||
| Uncategorized.cpp | ||
| Utils.cpp | ||