Tried to distinguish MLIAP package with Python support from PYTHON package
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@ -29,10 +29,13 @@ To see how this command
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can be used within a Python workflow to train machine-learning interatomic
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can be used within a Python workflow to train machine-learning interatomic
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potentials, see the examples in FitSNAP https://github.com/FitSNAP/FitSNAP>.
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potentials, see the examples in FitSNAP https://github.com/FitSNAP/FitSNAP>.
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*Additional instructions for compiling PyTorch energy models*
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*Additional instructions for building MLIAP with Python support enabled*
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The *MLIAPPY* extension written by Nick Lubbers (LANL)
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The *mliappy* energy model requires that the MLIAP package
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provides a coupling to PyTorch energy models. This should be automatically
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be compiled with Python support enabled.
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This extension written by Nick Lubbers (LANL)
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provides a coupling to PyTorch and other Python modules.
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This should be automatically
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enabled by default if the prerequisite software is installed. It can be
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enabled by default if the prerequisite software is installed. It can be
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enforced during CMake configuration by setting the variable
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enforced during CMake configuration by setting the variable
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MLIAP_ENABLE_PYTHON=yes or for conventional build by adding -DMLIAP_PYTHON
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MLIAP_ENABLE_PYTHON=yes or for conventional build by adding -DMLIAP_PYTHON
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