fix: typos in model debugging doc
Fix typos in topic guide on debugging models
@@ -161,7 +161,7 @@ Once you are on the cluster, testing is identical to Step 1.
128MB. If you need files larger than that as part of your model
definition, consider setting up a bind mount via the
``bind_mounts`` field of :ref:`command-notebook-configuration`.
- The tutorial on `ref:`data-access` lists some additional
+ The tutorial on :ref:`data-access` lists some additional
strategies for accessing files inside a containerized environment
which may also be relevant.
@@ -358,15 +358,15 @@ library APIs correctly, then theoretically distributed training should
- If your experiment is not being scheduled on the cluster, ensure
that your ``slots_per_trial`` setting is valid for your cluster.
- E.g. if you have 4 Detrmined Agents running with 4 GPUs each, your
- ``slots_per_trial`` could be ``1``, ``2,``, ``3``, ``4`` (which
- would all fit on a single machine), or it could be ``8`` or ``12``
- or ``16`` (which would take up some number of complete Agent
- machines), but it couldn't be ``5`` (more than one Agent but not a
- multiple of Agent size) and it couldn't be ``32`` (too big for the
- cluster). Also ensure that there are no other notebooks, shells,
- or experiments on the cluster which may be consuming too many
- resources and preventing from starting.
+ E.g. if you have 4 Determined Agents running with 4 GPUs each,
+ your ``slots_per_trial`` could be ``1``, ``2,``, ``3``, ``4``
+ (which would all fit on a single machine), or it could be ``8`` or
+ ``12`` or ``16`` (which would take up some number of complete
+ Agent machines), but it couldn't be ``5`` (more than one Agent but
+ not a multiple of Agent size) and it couldn't be ``32`` (too big
+ for the cluster). Also ensure that there are no other notebooks,
+ shells, or experiments on the cluster which may be consuming too
+ many resources and preventing the experiment from starting.
- Determined normally controls the details of distributed training
for you. Attempting to also control those details yourself, such
