--- comments: true --- # PaddlePaddle Local Installation Tutorial When installing PaddlePaddle, you can choose to install it via Docker or pip. ## Installing PaddlePaddle via Docker If you choose to install via Docker, please refer to the following commands to use the official PaddlePaddle Docker image to create a container named `paddlex` and map the current working directory to the `/paddle` directory inside the container: If your Docker version >= 19.03, please use: ```bash # For CPU users: docker run --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddle:3.0.0b2 /bin/bash # For GPU users: # CUDA 11.8 users docker run --gpus all --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddle:3.0.0b2-gpu-cuda11.8-cudnn8.6-trt8.5 /bin/bash # CUDA 12.3 users docker run --gpus all --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddle:3.0.0b2-gpu-cuda12.3-cudnn9.0-trt8.6 /bin/bash ``` * If your Docker version <= 19.03 and >= 17.06, please use:
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# For CPU users:
docker run --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddle:3.0.0b2 /bin/bash

# For GPU users:
# CUDA 11.8 users
nvidia-docker run --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddle:3.0.0b2-gpu-cuda11.8-cudnn8.6-trt8.5 /bin/bash

# CUDA 12.3 users
nvidia-docker run --name paddlex -v $PWD:/paddle  --shm-size=8G --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddle:3.0.0b2-gpu-cuda12.3-cudnn9.0-trt8.6 /bin/bash
* If your Docker version <= 17.06, please update your Docker. * Note: For more official PaddlePaddle Docker images, please refer to the [PaddlePaddle official website](https://www.paddlepaddle.org.cn/install/quick?docurl=/documentation/docs/en/install/docker/linux-docker.html) ## Installing PaddlePaddle via pip If you choose to install via pip, please refer to the following commands to install PaddlePaddle in your current environment using pip: ```bash # CPU python -m pip install paddlepaddle==3.0.0b2 -i https://www.paddlepaddle.org.cn/packages/stable/cpu/ # GPU, this command is only suitable for machines with CUDA version 11.8 python -m pip install paddlepaddle-gpu==3.0.0b2 -i https://www.paddlepaddle.org.cn/packages/stable/cu118/ # GPU, this command is only suitable for machines with CUDA version 12.3 python -m pip install paddlepaddle-gpu==3.0.0b2 -i https://www.paddlepaddle.org.cn/packages/stable/cu123/ ``` Note: For more PaddlePaddle Wheel versions, please refer to the [PaddlePaddle official website](https://www.paddlepaddle.org.cn/install/quick?docurl=/documentation/docs/en/install/pip/linux-pip.html). For installing PaddlePaddle on other hardware, please refer to [PaddleX Multi-hardware Usage Guide](../other_devices_support/multi_devices_use_guide.en.md). After installation, you can verify if PaddlePaddle is successfully installed using the following command: ```bash python -c "import paddle; print(paddle.__version__)" ``` If the installation is successful, the following content will be output: ```bash 3.0.0-beta2 ``` > ❗ Note: If you encounter any issues during the installation process, feel free to [submit an issue](https://github.com/PaddlePaddle/Paddle/issues) in the Paddle repository.