Untraced Functions Warning during Model Saving
This warning message typically appears when saving a TensorFlow model. It indicates that some functions associated with the model's LSTM cell (specifically, lstm_cell_2_layer_call_fn and lstm_cell_2_layer_call_and_return_conditional_losses) have been identified as untraced, meaning they were not traced by TensorFlow's autograph and may not be directly callable after loading the model.
While this warning doesn't necessarily indicate an error, it's worth investigating why these functions are untraced, as it may affect the behavior of the model when loaded and used for inference or further training. Here are a few possible reasons:
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Custom implementation: If you have implemented a custom LSTM cell or any related functions, TensorFlow's autograph may not be able to trace them automatically. In this case, you need to ensure that the custom implementation is properly handled when loading the model.
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TensorFlow version mismatch: It's possible that the TensorFlow version used during saving the model is different from the version used during loading. This could result in inconsistencies and untraced functions. Make sure you are using the same version of TensorFlow for both saving and loading the model.
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Control flow operations: If your model includes control flow operations or dynamic behavior that TensorFlow's autograph cannot trace, it may result in untraced functions. Ensure that any control flow operations are properly handled when saving and loading the model.
To address this warning and ensure the proper functionality of the loaded model, you should investigate the cause of the untraced functions and take appropriate steps to handle them. This may involve modifying your model code, updating TensorFlow versions, or implementing custom loading logic for the untraced functions.