How to run dpgen model_devi on RTX A6000 (CUDA 11+) when lammps-dp conda packages are CUDA 10 only? #1840
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The The current recommended installation is a consistent environment from conda-forge: conda create -n deepmd deepmd-kit lammps -c conda-forge
conda activate deepmd
lmp -hAlternatively, current DeePMD-kit provides the LAMMPS extra and official CUDA installers; the current installation documentation is here. Verify that For an RTX A6000, CPU LAMMPS is only a fallback. A source build is also valid when a cluster requires a particular CUDA/MPI/LAMMPS stack, but it is no longer necessary merely because the obsolete Coding agent: Codex |
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Hi,
I’m trying to run the model_devi stage of
dpgenwith GPU DeepMD on aworkstation with RTX A6000 (compute 8.6, CUDA 11+) and ran into a
compatibility issue.
deepmd-kitCUDA 11.6 GPU build and works fine.model_devi, I created another env withdeepmd-kit+lammps-dpCUDA 10.1 GPU builds fromconda.deepmodeling.com.When I run LAMMPS with
pair_style deepmd, TensorFlow/DeepMD prints an error like:nvidia-smishows an RTX A6000, so I suspect the CUDA 10.1 build oflammps-dpis not compatible with this GPU.
mamba searchshows CUDA 11 builds fordeepmd-kit, but I can’t find anyCUDA 11
lammps-dppackages on the deepmodeling channel.Questions:
What is the recommended way to run
dpgen’smodel_devion RTX A6000?lammps-dpfor model_devi? That will take much more timeAre there plans to provide CUDA 11+
lammps-dpconda packages for newer GPUs?Thanks a lot for any suggestions!
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