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Fix caching tutorial order #3278

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Feb 27, 2025
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Fix caching tutorial order #3278

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9 changes: 5 additions & 4 deletions recipes_source/torch_compile_caching_tutorial.rst
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Expand Up @@ -62,16 +62,17 @@ Consider the following example. First, compile and save the cache artifacts.

artifacts = torch.compiler.save_cache_artifacts()

# Now, potentially store these artifacts in a database
assert artifacts is not None
artifact_bytes, cache_info = artifacts

# Now, potentially store artifact_bytes in a database
# You can use cache_info for logging

Later, you can jump-start the cache by the following:

.. code-block:: python

# Potentially download/fetch the artifacts from the database
assert artifacts is not None
artifact_bytes, cache_info = artifacts

torch.compiler.load_cache_artifacts(artifact_bytes)

This operation populates all the modular caches that will be discussed in the next section, including ``PGO``, ``AOTAutograd``, ``Inductor``, ``Triton``, and ``Autotuning``.
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