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---
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title: "DP Tutorial 2: DeePMD-kit: Install with Conda & Offline Packages & Docker"
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date: 2021-07-06
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categories:
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- tutorial
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tags:
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- DeePMD-kit
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---
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Do you prepare to read a long article before clicking the tutorial? Since we can teach you how to setup a DeePMD-kit training in 5 minutes, we can also teach you how to install DeePMD-kit in 5 minutes. The installation manual will be introduced as follows:
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## Install with conda
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After you install `conda`, you can install the CPU version with the following command:
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```sh
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conda install deepmd-kit=*=*cpu lammps-dp=*=*cpu -c deepmodeling
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```
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To install the GPU version containing CUDA 10.1:
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```sh
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conda install deepmd-kit=*=*gpu lammps-dp=*=*gpu -c deepmodeling
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```
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If you want to use the specific version, just replace `*` with the version:
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```sh
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conda install deepmd-kit=1.3.3=*cpu lammps-dp=1.3.3=*cpu -c deepmodeling
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```
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## Install with offline packages
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Download offline packages in the [Releases page](https://github.com/deepmodeling/deepmd-kit/releases), or use `wget`:
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```sh
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wget https://github.com/deepmodeling/deepmd-kit/releases/download/v1.3.3/deepmd-kit-1.3.3-cuda10.1_gpu-Linux-x86_64.sh -O deepmd-kit-1.3.3-cuda10.1_gpu-Linux-x86_64.sh
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```
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Take an example of `v1.3.3`. Execuate the following commands and just follow the prompts.
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```sh
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sh deepmd-kit-1.3.1-cuda10.1_gpu-Linux-x86_64.sh
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```
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## With Docker
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To pull the CPU version:
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docker pull ghcr.io/deepmodeling/deepmd-kit:1.2.2_cpu
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To pull the GPU version:
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docker pull ghcr.io/deepmodeling/deepmd-kit:1.2.2_cuda10.1_gpu
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## Tips
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`dp` is the program of DeePMD-kit and `lmp` is the program of LAMMPS.
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```sh
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dp -h
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lmp -h
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```
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GPU version has contained CUDA Toolkit. Note that different CUDA versions support different NVIDIA driver versions. See [NVIDIA documents](https://docs.nvidia.com/deploy/cuda-compatibility/) for details.
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Don't hurry up and try such a convenient installation process. But I still want to remind everyone that the above installation methods only support the official version released by DeePMD-kit. If you need to use the devel version, you still need to go through a long compilation process. Please refer to the [installation manual](https://docs.deepmodeling.org/projects/deepmd/).

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