mirror of https://github.com/llvm/torch-mlir
532d297c46
See the related issues here: [SHARK-Turbine#556](https://github.com/nod-ai/SHARK-Turbine/issues/556) 1. Adds uint8 casting to onnx.Cast op 2. Fixes an issue with onnx.DequantizeLinear when the scale comes with shape [1]. 3. Adds support for unsigned types in an AtenItemOp folder 4. Adds a simpler quantized model for easier debugging 5. Adds a fusion pass to convert [quant -> dequant -> transpose -> mm] patterns to [transpose -> quant -> mm]. 6. Moved some xfails that are still not passing, but for different reasons than onnx.cast failures. |
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| .. | ||
| CMakeLists.txt | ||
| TorchDialect.cpp | ||
| TorchOps.cpp | ||
| TorchOpsODSGenerated.cpp | ||
| TorchTypes.cpp | ||
| UtilsForODSGenerated.cpp | ||
| UtilsForODSGenerated.h | ||