How to convert a TensorFlow model to ONNX format?

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by emie , in category: General Help , 3 months ago

How to convert a TensorFlow model to ONNX format?

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1 answer

by sarai_bergstrom , 3 months ago

@emie 

To convert a TensorFlow model to the ONNX format, you can use the onnx-tf library. Follow these steps to perform the conversion:

  1. Install the necessary packages: pip install tensorflow==
  2. Convert the TensorFlow model to ONNX format using the onnx-tf converter. Create a Python script and import the necessary libraries: import tf2onnx import tensorflow as tf
  3. Load the TensorFlow model: model = tf.keras.models.load_model('path/to/model.h5')
  4. Convert the TensorFlow model to ONNX format: onnx_model, _ = tf2onnx.convert.from_keras(model)
  5. Save the ONNX model to a file: with open('path/to/model.onnx', 'wb') as file: file.write(onnx_model.SerializeToString())


Make sure to replace <tensorflow_version> with the specific version of TensorFlow you have installed. Also, update the file paths to match your system.


Note: The conversion process does not always guarantee full compatibility between TensorFlow and ONNX, as they have different sets of features and operations. Therefore, it's possible that some TensorFlow operations may not be supported in ONNX.