Integrating JAX with existing TensorFlow models can be achieved through several methods, though the ease and directness vary depending on the approach.
Using JAX2TF
**JAX2TF is a tool that allows you to convert JAX models into TensorFlow, enabling you to use TensorFlow's tools for deployment or further training. This conversion is straightforward for JAX models, but it doesn't directly convert TensorFlow models to JAX. Instead, it facilitates the integration of JAX components into TensorFlow environments, such as deploying JAX models using TensorFlow Serving or TensorFlow Lite[1][2].
Using TF2JAX
**TF2JAX is an experimental library that converts TensorFlow functions (including SavedModels) into JAX functions. This allows TensorFlow models to be reused or fine-tuned within JAX codebases. However, it only supports TensorFlow 2.x and has limitations in terms of supported ops and functionalities[3][5].
Calling TensorFlow Functions from JAX
The `jax2tf.call_tf` function allows JAX to call TensorFlow functions directly. This is useful for integrating TensorFlow models into JAX workflows without needing to convert them fully. It supports calling TensorFlow SavedModels or libraries from within JAX, though it has limitations in terms of JAX transforms that can be applied[2][5].
Challenges
- Direct Conversion: There is no widely supported library for directly converting TensorFlow models to JAX in the way JAX2TF converts JAX to TensorFlow.
- Complexity: Integrating TensorFlow models into JAX often requires using intermediate tools or formats, which can add complexity to the workflow.
Overall, while there are tools to facilitate integration, the process may require some technical effort and creativity, especially when dealing with complex models or specific requirements.
Citations:[1] https://www.tensorflow.org/guide/jax2tf
[2] https://github.com/google/jax/blob/main/jax/experimental/jax2tf/README.md
[3] https://github.com/google-deepmind/tf2jax
[4] https://kambale.dev/tensorflow-v-flax
[5] https://stackoverflow.com/questions/70356126/is-there-a-module-to-convert-a-tensorflow-nn-to-jax
[6] https://towardsdatascience.com/ai-model-training-with-jax-6e407a7d2dc8/
[7] https://blog.tensorflow.org/2022/08/jax-on-web-with-tensorflowjs.html
[8] https://www.kaggle.com/code/aakashnain/building-models-in-jax-part1-stax
[9] https://ai.google.dev/edge/litert/models/convert_jax