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What is ONNX and how can we use it to convert a model to Tensor Flow?

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  • 13
    Is ONNX is effective and better for cutting edge technology. how can we implement a Pytorch model in TF using ONNX
      July 22, 2021 8:23 PM IST
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  • 131 2
    Use the onnx/onnx-tensorflow converter tool as a Tensorflow backend for ONNX.

    1. Install onnx-tensorflow: pip install onnx-tf

    2. Convert using the command line tool: onnx-tf convert -t tf -i /path/to/input.onnx -o /path/to/output.pb

    Alternatively, you can convert through the python API.
    import onnx from onnx_tf.backend import prepare onnx_model = onnx.load("input_path") # load onnx model tf_rep = prepare(onnx_model) # prepare tf representation tf_rep.export_graph("output_path") # export the model
      August 6, 2021 4:51 PM IST
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  • 346 3
    Windows Machine Learning supports models in the Open Neural Network Exchange (ONNX) format. ONNX is an open format for ML models, allowing you to interchange models between various ML frameworks and tools. ... In addition, services such as Azure Machine Learning and Azure Custom Vision also provide native ONNX export

    Open Neural Network Exchange (ONNX) is an open standard format for representing machine learning models. ... TensorFlow Backend for ONNX makes it possible to use ONNX models as input for TensorFlow. The ONNX model is first converted to a TensorFlow model and then delegated for execution on TensorFlow to produce the output.
      August 27, 2021 1:08 PM IST
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  • 461

    Below is the command to convert a TensorFlow 1.0 checkpoint file to ONNX. Notice that you need to find the meta file and pass it to tf2onnx. You also need to specify the input name and the output name.


    python -m tf2onnx.convert --checkpoint ./tensorflow/tensorflow_model.ckpt.meta --output tfmodel.onnx --inputs input:0 --outputs output:0
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    Below is the command to convert a TensorFlow 2.0 model. You need to specify the directory that was used to save the model to disk. (It is not saved in a single file.) You also need to specify the ONNX output file. You do not need to specify the input name and the output name.


    python -m tf2onnx.convert --saved-model ./tensorflow --output tfmodel.onnx
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      August 14, 2021 1:28 PM IST
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