mirror of https://github.com/llvm/torch-mlir
dc37616d67
Handle both `torch.dequantize` and `torch.quantize_per_tensor` including the op based quantization parameter tracking. This includes adding `qint32` to torch types as it was missing during the initial type inclusion. For testing we only have `torch.int8` and `torch.float` types on function boundaries as the `qint8` types require passing the scale and zero point quantization information which is not supported yet. |
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| .. | ||
| CMakeLists.txt | ||
| TorchDialect.cpp | ||
| TorchOps.cpp | ||
| TorchOpsODSGenerated.cpp | ||
| TorchTypes.cpp | ||
| UtilsForODSGenerated.cpp | ||
| UtilsForODSGenerated.h | ||