hghcomphys / pantea

A Python library for developing machine learning interatomic potentials, based on Google JAX.

Home Page:https://pantea.readthedocs.io

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Unexpected data transfer via PCI when training model on GPU

hghcomphys opened this issue · comments

The structure data and model weights exist on GPU (as device array) therefore there shouldn't be a heavy PCI-throughput during the training.

Part of this issue was related to structure.elements property which has to map atom_type to element.