Comments (2)
So we should return outside if.
from onnxscript.
It would still be helpful to allow this so that code is more readable.
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Related Issues (20)
- [torchlib] Implement <OpOverload(op='aten.scatter', overload='src')>
- [torchlib] Implement <OpOverload(op='aten.scatter', overload='value')>
- [torchlib] Implement <OpOverload(op='aten.silu', overload='default')>
- [torchlib] Implement <OpOverload(op='aten.sort', overload='default')>
- [torchlib] Implement <OpOverload(op='aten.std', overload='correction')>
- [torchlib] Implement <OpOverload(op='aten.std_mean', overload='correction')>
- [torchlib] Implement <OpOverload(op='aten.sym_size', overload='int')>
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- [torchlib] Implement <OpOverload(op='aten.unsafe_split', overload='Tensor')>
- [torchlib] Implement <OpOverload(op='torchvision.nms', overload='default')>
- [torchlib] Implement <OpOverload(op='torchvision.roi_align', overload='default')>
- [torchlib] Implement <OpOverload(op='torchvision.roi_pool', overload='default')>
- [exporter] Create a pass to turn tensors into external tensors HOT 1
- [core] Migrate OpSignature to ONNX Script
- [exporter] Create an IR modularization pass
- [exporter] Create an inliner pass for the IR
- [IR] Create a utility for merging models
- Use IR in the optimizer HOT 2
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