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Add ONNX export example for MultiInputPolicy #2098

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Mar 12, 2025
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Add ONNX export example for MultiInputPolicy #2098

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13f6ce4
add example for MultiInputPolicy export to onnx
darkopetrovic Mar 10, 2025
e9e1242
Update changelog
araffin Mar 12, 2025
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1 change: 1 addition & 0 deletions docs/guide/export.rst
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Expand Up @@ -100,6 +100,7 @@ If you are using PyTorch 2.0+ and ONNX Opset 14+, you can easily export SB3 poli
with th.no_grad():
print(model.policy(th.as_tensor(observation), deterministic=True))

For exporting ``MultiInputPolicy``, please have a look at `GH#1873 <https://github.com/DLR-RM/stable-baselines3/issues/1873#issuecomment-2710776085>`_.

For SAC the procedure is similar. The example shown only exports the actor network as the actor is sufficient to roll out the trained policies.

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1 change: 1 addition & 0 deletions docs/misc/changelog.rst
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Expand Up @@ -44,6 +44,7 @@ Documentation:
- Clarify the use of Gym wrappers with ``make_vec_env`` in the section on Vectorized Environments (@pstahlhofen)
- Updated callback doc for ``EveryNTimesteps``
- Added doc on how to set env attributes via ``VecEnv`` calls
- Added ONNX export example for ``MultiInputPolicy`` (@darkopetrovic)


Release 2.5.0 (2025-01-27)
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