Comments (2)
Quick update here. We are now directly going from Torch to Linalg. The currently used code is in https://github.com/llvm/mlir-npcomp/blob/93816ee21a89f4331d5610e3a85732dfecc9f854/lib/Conversion/TorchToLinalg/TorchToLinalg.cpp#L183 -- can you see if if has the same bug?
We will probably delete TCF sometime soon.
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So, I deleted TCF and TCP recently. Hope that helps avoid any confusion.
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Related Issues (20)
- `make_simple_dynamo_backend` does not work for single argument models. HOT 2
- Compilation of Quantized Model Failed HOT 1
- Missing dtype support for OnnxToTorch HOT 3
- Strange issue related to `pyproject.toml` when building release wheels HOT 4
- iree-compiler failed to compile gpt2
- `NotSupportedError` error when executing Readme example "TorchScript ResNet18"
- onnx.Transpose version 1 not lowered (but it's essentially the same as version 13)
- boolean indexing ops: AtenNonzeroOp, AtenIndexTensorOp, AtenMaskedSelectOp
- QuantizedMLP currently failing in CI
- migrate to from member `x.cast<T>()` to `mlir::cast<T>(x)` HOT 1
- Update version pin to onnx 1.16 HOT 5
- Include Shape Information Into DecomposeComplexOps Patterns HOT 4
- onnx.MatMul version 1 not lowered (but it's essentially the same as version 13)
- Crash with TorchBackendToLinalgOnTensorsBackendPipeline
- link out of date
- unsupported aten.meshgrid operator HOT 1
- Trying to lower elided IR from torch onnx to torch causes crash HOT 2
- [ONNX] Systematically expand ONNX functions before conversion to Torch to avoid needing bespoke conversions HOT 12
- [onnx] Attempting to lower onnx mlir with elided attributes causes crash HOT 7
- Some issues with migrating to one-shot-bufferize HOT 11
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