onnx-tensorflow

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Is there a roadmap for opset 17 support? Particularly layernorm? Does anyone have a short term solution to skirting around the lack of layer norm support?

It is a conversion tool that I am creating by myself as a derivative tool. I implemented Layernorm yesterday, although it is a tool in the process of being created. I do not know if it works correctly. This tool ignores the curse of opset and attempts to convert as much as possible.

I have only been creating it for about 20 days, but I think I have most of the major OPs implemented. However, the testing is inadequate due to a considerable lack of sample models for testing. Contributions are welcome.

https://github.com/PINTO0309/onnx2tf