# FAQ

## Misc.

-   **How should I spell Acme?** Acme is a proper noun, not an acronym, and
    hence should be spelled "Acme" without caps.

-   **How do I debug my TF2 learner?** Debugging TensorFlow code has never been
    easier! All our learners’ `_step()` functions are decorated with a
    `@tf.function` which can easily be commented out to run them in eager mode.
    In this mode, one can easily run through the code (say, via `pdb`) line by
    line and examine outputs. Most of the time, if your code works in eager
    mode, it will work in graph mode (with the `@tf.function` decorator) but
    there are rare exceptions when using exotic ops with unsupported dtypes.
    Finally, don’t forget to add the decorator back in or you’ll find your
    learner to be a little sluggish!

# FAQ

## Misc.

-   **How should I spell Acme?** Acme is a proper noun, not an acronym, and
    hence should be spelled "Acme" without caps.

-   **How do I debug my TF2 learner?** Debugging TensorFlow code has never been
    easier! All our learners’ `_step()` functions are decorated with a
    `@tf.function` which can easily be commented out to run them in eager mode.
    In this mode, one can easily run through the code (say, via `pdb`) line by
    line and examine outputs. Most of the time, if your code works in eager
    mode, it will work in graph mode (with the `@tf.function` decorator) but
    there are rare exceptions when using exotic ops with unsupported dtypes.
    Finally, don’t forget to add the decorator back in or you’ll find your
    learner to be a little sluggish!

-   **Do you plan to release the distributed agents?** We've only open-sourced
    our single-process agents. Internally, our distributed agents run the same
    code as these open-sourced agents but are tied to Launchpad and other
    DeepMind infrastructure. We don’t currently have a timetable for releasing
    these components.

Clarify distributed agents in FAQ.
Clarify distributed agents in FAQ.

PiperOrigin-RevId: 315492198
Change-Id: I1120068ed35677cfc0eb30e5cfac4198c9be03ae
