python-tensorflowHow do I convert a Python TensorFlow model to ONNX?

To convert a Python TensorFlow model to ONNX, you need to use the ONNX converter. This converter is available in the TensorFlow-ONNX repository.

To use the converter, you need to first install the necessary packages:

pip install onnx
pip install onnx-tf

Once the packages have been installed, you can use the following code to convert the model:

import onnx
import onnx_tf

onnx_model = onnx.load("model.onnx")
tf_rep = onnx_tf.backend.prepare(onnx_model)

The onnx.load function loads the model from the file model.onnx, and the onnx_tf.backend.prepare function converts the model to a TensorFlow representation.

You can also use the tf2onnx package to convert the model from TensorFlow to ONNX. This package provides a command-line interface that can be used to convert the model:

python -m tf2onnx.convert --saved-model model.pb --output model.onnx

The tf2onnx.convert command takes the model file model.pb as input and outputs the converted model in the file model.onnx.

Helpful links

• TensorFlow-ONNX
• tf2onnx

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