Comments (1)
I think this is done.
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Related Issues (20)
- Use the correct logger in values.py
- aten_index_put doesn't support 1-D tensor HOT 4
- Create function boundaries for each traced functions.
- [torchlib] Implement sinc function
- [torchlib] Fix special.erfcx HOT 5
- Handling the shape for loop condition
- How to get the node name mapping between FX (aten) and ONNX as far as possible? HOT 5
- Wrong shape of mean and variance in _aten_native_batch_norm_inference_onnx HOT 6
- [torchlib] torch.ops.aten.nll_loss_forward.default
- InstanceNorm always has training attribute set to True HOT 15
- Illegal "IsScalar" node encountered in exported ONNX model HOT 26
- Pytorch exporter test failure: pytest test/onnx/test_fx_op_consistency.py -k test_output_match_squeeze_multiple -v
- Bilinear and Trilinear interpolation are failing after updating to latest onnxscript (0.1.0.dev20240205) HOT 1
- Update symbolic shape export wrt to ONNX 1.16
- Latest pytorch with latest onnxscript is failing native_batch_norm
- Latest pytorch with latest onnxscript is failing nn.functional.batch_norm HOT 1
- [torchlib] IRFFT implementation is not correct HOT 4
- Complicated ops are not well-covered by extra_opinfo
- [torchlib] aten.instance_norm
- Can't generate Constant nodes with attributes as vectors HOT 1
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