diff --git a/doc/source/tune-usage.rst b/doc/source/tune-usage.rst index d44ede6ac..03c06a398 100644 --- a/doc/source/tune-usage.rst +++ b/doc/source/tune-usage.rst @@ -119,7 +119,7 @@ Tune automatically runs N concurrent trials, where N is the number of CPUs (core # If you have 4 CPUs on your machine, this will run 1 trial at a time. tune.run(trainable, num_samples=10, resources_per_trial={"cpu": 4}) -To leverage GPUs, you can set ``gpu`` in ``resources_per_trial``. A trial will only be executed if there are resources available. See the section on`resource allocation `_, which provides more details about GPU usage and trials that are distributed: +To leverage GPUs, you can set ``gpu`` in ``resources_per_trial``. A trial will only be executed if there are resources available. See the section on `resource allocation `_, which provides more details about GPU usage and trials that are distributed: .. code-block:: python