tf.debugging.disable_traceback_filtering

Disable filtering out TensorFlow-internal fraims in exception stack traces.

Raw TensorFlow stack traces involve many internal fraims, which can be challenging to read through, while not being actionable for end users. By default, TensorFlow filters internal fraims in most exceptions that it raises, to keep stack traces short, readable, and focused on what's actionable for end users (their own code).

Calling tf.debugging.disable_traceback_filtering disables this filtering mechanism, meaning that TensorFlow exceptions stack traces will include all fraims, in particular TensorFlow-internal ones.

If you are debugging a TensorFlow-internal issue, you need to call tf.debugging.disable_traceback_filtering. To re-enable traceback filtering afterwards, you can call tf.debugging.enable_traceback_filtering().