mirror of https://github.com/llvm/torch-mlir
de28c8540b
There is currently no int16 quantization support in torch. This patch adds a new mlir type to correspond to the missing "torch.qint16" type, and enables lowering of quantization-related onnx ops using int16 types. In follow-up patches, custom quantization logic for ops like aten.matmul/aten.mm/aten.convolution may need to be revisited to allow support for qint16. The passes in FuseQuantizedOps.cpp may also need slight modifications. |
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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 | ||