table_handle: Attempting to capture an EagerTensor without building a function.

As an AI language model, I do not have access to the exact context in which you encountered this error message. However, based on the error message, it seems to be related to TensorFlow's Eager Execution mode.

Eager Execution is a mode that allows TensorFlow code to run and evaluate operations immediately, without building a full computational graph. This can be useful for debugging and interactive exploration of models. However, it can also lead to errors if you try to capture an EagerTensor without building a function.

Without more context, it's difficult to provide specific advice on how to resolve this error. However, some general tips for working with Eager Execution in TensorFlow include:

- Make sure you are using the correct version of TensorFlow that supports Eager Execution (TF 2.0+).
- Use the `tf.function` decorator to convert your code to a TensorFlow function, which allows you to capture and manipulate EagerTensors.
- Be aware of the differences between Eager Execution and Graph Execution, and how they affect the behavior of your code.
- Check the TensorFlow documentation and forums for more information on common Eager Execution issues and their solutions.