Latest development to cyclic graphs test branch #493
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Looks like torch script compile was generating an OnnxPad operation with None passed to constant_value argument. This was causing a crash in the execution engine. This was uncovered after fixing a bug of handling prim::Constant Op correctly.
Little hack to pin ONNX ir_version to 8 if onnxruntime version is less than 1.15. This should get fixed soon with update of onnx package. See microsoft/onnxruntime#15874
To v0.4.7; removes setup.py; add MDF paper to website
Add keras_to_mdf helper function
It works but its slow.
…both mdf and pytorch predictions
Regenerated with latest nmllite & add image to quickstart page
* development: Add clickable image to quick start page Regenerated with latest nmllite Use latest nml libraries; Regenerated multiple nml files Adding generated mdf files and images for pynn based examples Specify py version for actions/setup-python@v4 One more gha action version update Update versions github actions Latests tests More tests More tests on pynn examples Improved handling of spike transfers Updates to test pynn hh Formatted Initial tests NeuroMLlite->PyNN->MDF type info in input ports in generated graphs Fix issue with onnx trying to add int to float Regenerated with latest nml libraries Test latest modelspec
Keras interface
Benchmarking of Pytorch
Update to v0.4.8
To v0.4.9; Add support for torch>=2, torchvision>=0.15.2, onnx>=1.14
Regenerated neuroml examples
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