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

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  • onnx-tensorflow

    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. :)

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • models

    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.

  • netron

    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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