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```run_pretrained_models.py``` will run the TensorFlow model, captures the TensorFlow output and runs the same test against the specified ONNX backend after converting the model.
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If the option ```--perf csv-file``` is specified, we'll capture the timeing for inferece of tensorflow and onnx runtime and write the result into the given csv file.
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If the option ```--perf csv-file``` is specified, we'll capture the timing for inference of tensorflow and onnx runtime and write the result into the given csv file.
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