Comments (3)
This operator is too complex to be implemented into Gorgonnx as it is more than a composition of other existing functions.
I think that there is a need for a new Op in gorgonia.
The implementation has started in Gorgonia see this branch
from onnx-go.
What's the difference between Gorgonnx and Gorgonia?
from onnx-go.
Hi,
Gorgonia is a library used for computation and automatic differentiation (like tensorflow).
Itβs not compatible with the interfaces of onnx-go (yet), but very close.
Gorgonnx is a transitional package made to fill the gap. It acts a a transpiler from onnx-go to Gorgonia.
Hope this helps
from onnx-go.
Related Issues (20)
- 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?
- Implement operator `Gather` for backend `YYY`
- Any plan to support Graph attribute type?
- Time taken to initialize model
- shame on the developers HOT 5
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from onnx-go.