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Dec 9, 2022
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Add comment on using torch.utils.benchmark #2147

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e5bf61a
add comment on using torch.utils.benchmark
williamwen42 Dec 8, 2022
a10d669
change from recommendation to try
williamwen42 Dec 9, 2022
e3831e6
Merge branch 'master' of github.com:pytorch/tutorials into wwen/torch…
williamwen42 Dec 9, 2022
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4 changes: 4 additions & 0 deletions intermediate_source/torch_compile_tutorial.rst
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Expand Up @@ -184,6 +184,10 @@ much as possible, and so we chose ``"reduce-overhead"``. For your own models,
you may need to experiment with different modes to maximize speedup. You can
read more about modes `here <https://pytorch.org/get-started/pytorch-2.0/#user-experience>`__.

For general PyTorch benchmarking, you can try using ``torch.utils.benchmark`` instead of the ``timed``
function we defined above. We wrote our own timing function in this tutorial to show
``torch.compile``'s compilation latency.

Now, let's consider comparing training.

.. code-block:: python
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4 changes: 4 additions & 0 deletions intermediate_source/torch_compile_tutorial_.py
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Expand Up @@ -187,6 +187,10 @@ def evaluate(mod, inp):
# you may need to experiment with different modes to maximize speedup. You can
# read more about modes `here <https://pytorch.org/get-started/pytorch-2.0/#user-experience>`__.
#
# For general PyTorch benchmarking, you can try using ``torch.utils.benchmark`` instead of the ``timed``
# function we defined above. We wrote our own timing function in this tutorial to show
# ``torch.compile``'s compilation latency.
#
# Now, let's consider comparing training.

model = init_model()
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