Comments (3)
owulveryck
commented on July 3, 2024
There will be a problem for some models because Gorgonia does not support asymmetric padding;
asymmetric padding is mandatory in some cases to guarantee that the output shape is the same as the input shape.
Don't know how to fix it.
The point is that the auto padding is deprecated in onnx, but a lot of backend/models are still using it.
By now, I have chosen to return an ErrNotImplemented if the computation of the padding returns an odd number (ref)
from onnx-go.
owulveryck
commented on July 3, 2024
Related issue #167 from onnx/models
from onnx-go.
owulveryck
commented on July 3, 2024
Should be fixed with PR #80 and PR #295 from Gorgonia
from onnx-go.
Related Issues (20)
- Cannot model.UnmarshalBinary - says 'No data found' HOT 1
- Can't import onnx model, converted from BigGAN-PyTorch HOT 2
- Implement operator LSTM,Clip for backend Gorgonia HOT 1
- Will this project be maintained further and are contributions still welcomed?
- Implement operator `LinearRegressor` for backend `gorgonia`
- "Asymmetric padding" error
- panic: negative dimension size does not make sense
- ../../go/src/gorgonia.org/tensor/dense_compat.go:442:23: undefined: array.Interface HOT 2
- Updated depens
- poor performance (run model)
- run() function calls newMachine() everytime HOT 1
- Question: unsqueeze: axes in not an []int64 HOT 3
- Support for empty tensors
- Tape machine does not reset properly for some models HOT 2
- Implement operator `PReLU` for backend `Gorgonia`
- Implement operator `Cast` for backend `Gorgonia`
- panic: index out of range HOT 4
- the Error during UnmarshalBinary(b)
- Is Conv1D supported?
- panic: onnx: operator Shape not implemented () HOT 1
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