def METHOD_NAME(
    writer: Any,
    module: Any,
    save: bool = True,
    root_logdir: str = "",
) -> None:
    # This configures non-TensorFlow Tensorboard logging, or tensorflow <= 1.15
    logdir_hist = []
    class TBXEventFileWriter(writer.EventFileWriter):
        def __init__(self, logdir: str, *args: Any, **kwargs: Any) -> None:
            logdir_hist.append(logdir)
            root_logdir_arg = root_logdir
            if len(set(logdir_hist)) > 1 and root_logdir == "":
                wandb.termwarn(
                    "When using several event log directories, "
                    'please call `wandb.tensorboard.patch(root_logdir="...")` before `wandb.init`'
                )
            # if the logdir contains the hostname, the writer was not given a logdir.
            # In this case, the logdir is generated and ends with the hostname,
            # update the root_logdir to match.
            hostname = socket.gethostname()
            search = re.search(rf"-\d+_{hostname}", logdir)
            if search:
                root_logdir_arg = logdir[: search.span()[1]]
            elif root_logdir is not None and not os.path.abspath(logdir).startswith(
                os.path.abspath(root_logdir)
            ):
                wandb.termwarn(
                    "Found log directory outside of given root_logdir, "
                    f"dropping given root_logdir for event file in {logdir}"
                )
                root_logdir_arg = ""
            _notify_tensorboard_logdir(logdir, save=save, root_logdir=root_logdir_arg)
            super().__init__(logdir, *args, **kwargs)
    writer.orig_EventFileWriter = writer.EventFileWriter
    writer.EventFileWriter = TBXEventFileWriter
    wandb.patched["tensorboard"].append([module, "EventFileWriter"])