This is an announcement from the ONNX Foundation Working Group. We have created a poll to collect preferences from the ONNX community on what non-profit foundation we should join.
Please make your voice heard by voting here: https://forms.gle/z4zEs2MGcQiV6tar9
The options are Linux Foundation, Apache or Eclipse. Our selection and interview process is shared in the link above.
Jim Spohrer (IBM) and Ryan Loney (Intel)
Co-chairs, ONNX Foundation WG
With the efforts from the ONNX community, ONNX-1.6 is released and available at pypi site.
This version includes many new features (new operators, new types, more documentations, and so on) and fixes.
The release details can be found at https://github.com/onnx/onnx/releases/tag/v1.6.0 and its python packages can be installed by using "pip install onnx==1.6.0".
If you have any comments, please don't hesitate to share them with the community (for example, opening Github issues, posting to Gitter channels, etc).
python loading onnx model as a protocol buffer,
one of the objects you getting while loading onnx model is a GRAPH, GRAPH containing -"nodes", "initializer" ,"attribute" etc,
my question is - does "nodes", "initializer", "attribute" have any order with logic connection to neural network execution ? or it's ordering randomly?