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Refactor `DeepPotModelDevi` as a step of #3122. Now, it is just a
wrapper of multiple `DeepPot` classes. Models can have different
behaviors inside different `DeepPot`.
One may argue that the new class needs to prepare the input multiple
times. However, it's not expensive only to copy the memory. Also, during
the simulations, usually we run it every 100 steps.
Summary
This issue is a roadmap to migrate the PyTorch (PT) backend from the temporary repository to here.
Detailed Description
deepmd_utils
#3118Further Information, Files, and Links
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