Document optional steps for converting Fabric code (#19486)

docs/source-fabric/fundamentals/convert.rst

@@ -90,6 +90,21 @@ Check out our before-and-after example for `image classification <https://github
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+Optional changes
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+
+Here are a few optional upgrades you can make to your code, if applicable:
+
+- Replace ``torch.save()`` and ``torch.load()`` with Fabric's :doc:`save and load methods <../guide/checkpoint/checkpoint>`.
+- Replace collective operations from ``torch.distributed`` (barrier, broadcast, etc.) with Fabric's :doc:`collective methods <../advanced/distributed_communication>`.
+- Use Fabric's :doc:`no_backward_sync() context manager <../advanced/gradient_accumulation>` if you implemented gradient accumulation.
+- Initialize your model under the :doc:`init_module() <../advanced/model_init>` context manager.
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+
+----
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+
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