Has anyone successfully converted an onnx model to tensorflow? Here's the problems I'm having...

• onnx-tensorflow

  6 1,234 0.0 Python

  Tensorflow Backend for ONNX

  

TLDR: I'm using onnx-tf to convert an onnx model to tensorflow. During the conversion I lose important information such as inputs, outputs and the names of operators. Please read on if you have experience with this library or you've experienced similar issues. :)

• models

  7 7,158 5.2 Jupyter Notebook

  A collection of pre-trained, state-of-the-art models in the ONNX format (by onnx)

  

Instructions to reproduce the problem: I am trying to convert a proprietary model at work but for now i'll use mobilenetv2-7.onnx to explain/reproduce the issue.

• SurveyJS

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• netron

  32 26,040 9.9 JavaScript

  Visualizer for neural network, deep learning and machine learning models

Now, if you upload the onnx model and the generated saved_model/saved_model.pb into seperate Netron windows you can see that in the generated model's graph there is no information for the output node. There is no obvious input node. Also, any operators that you can find within the generated model's graph do not retain the name of the operators from the onnx graph such as Conv, Gemm etc.

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