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docs: Update JAX backend documentation on training support (#5482)
<!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit * **Documentation** * Updated backend documentation by refining content clarity. <!-- review_stack_entry_start --> [![Review Change Stack](https://storage.googleapis.com/coderabbit_public_assets/review-stack-in-coderabbit-ui.svg)](https://app.coderabbit.ai/change-stack/deepmodeling/deepmd-kit/pull/5482?utm_source=github_walkthrough&utm_medium=github&utm_campaign=change_stack) <!-- review_stack_entry_end --> <!-- end of auto-generated comment: release notes by coderabbit.ai --> Signed-off-by: Jinzhe Zeng <jinzhe.zeng@ustc.edu.cn>
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@@ -33,7 +33,6 @@ Both `.xlo` and `.jax` are customized format extensions defined in DeePMD-kit, s
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`.savedmodel` is the TensorFlow [SavedModel format](https://www.tensorflow.org/guide/saved_model) generated by [JAX2TF](https://www.tensorflow.org/guide/jax2tf), which needs the installation of TensorFlow.
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Only the `.savedmodel` format supports C++ inference, which needs the TensorFlow C++ interface.
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The model is device-specific, so that the model generated on the GPU device cannot be run on the CPUs.
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Currently, this backend is developed actively, and has no support for training.
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### Paddle {{ paddle_icon }}
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