Installation Guide¶

1. Operating system requirements:¶

• Windows 7 / 8 / 10, Pro/Enterprise

• Ubuntu 18.04 / 20.04

• CentOS 7

• MacOS 10.x/11.x/12.x/13.x/14.x

• 64-bit operating system is required

2. Processor requirements:¶

• Processor supports MKL

• The processor architecture is x86_64(or called x64, Intel 64, AMD64). Currently, PaddlePaddle does not support arm64.

3. Version requirements of python and pip:¶

• Python requires version 3.8/3.9/3.10/3.11/3.12

• Python needs pip, and pip requires version 20.2.2 or above

• Python and pip requires 64-bit

4. PaddlePaddle’s support for GPU:¶

• Currently, PaddlePaddle supports CUDA driver of NVIDIA graphics card and ROCm driver of AMD card.

• You need to install cuDNN , and version 7.6+ is required(For CUDA11)

• If you need GPU multi-card mode, you need to install NCCL 2

  • Only Ubuntu/CentOS support NCCL 2

• You need to install CUDA , depending on your system, there are different requirements for CUDA version:

  • Windows install GPU version

    • Windows 7 / 8 / 10 support CUDA 11.0/11.2/11.6/11.8/12.0 single-card mode

    • don’t support install using nvidia-docker

  • Ubuntu install GPU version

    • Ubuntu 18.04 supports CUDA (11.0 - 12.0)

    • Ubuntu 20.04 supports CUDA (11.0 - 12.0)

    • If you install using nvidia-docker , it supports CUDA 11.2/11.7/12.0

  • CentOS install GPU version

    • If you install using native pip :

      • CentOS 7 supports CUDA (11.0 - 12.0)

    • If you compile and install using native source code:

      • CentOS 7 supports CUDA (11.0 - 12.0)

    • If you install using nvidia-docker , CentOS 7 supports CUDA 11.2/11.7/12.0

  • MacOS isn’t supported: PaddlePaddle has no GPU support in Mac OS platform

Please make sure your environment meets the above conditions. If you have other requirements, please refer to Appendix .

5. PaddlePaddle’s support for NCCL:¶

• Support for Windows

  • not support NCCL

• Support for Ubuntu

  • Ubuntu 18.04:

    • support NCCL v2.4.7 / v2.16.5 under CUDA11

  • Ubuntu 20.04:

    • support v2.4.7 / 2.16.5 under CUDA11

• Support for CentOS

  • CentOS 7:

    • support NCCL v2.4.7-v2.16.5 under CUDA11

• Support for MacOS

  • not support NCCL

The first way to install: use pip to install¶

You can choose any of the four ways to install: “use pip to install”, “use Conda to install”, “use Docker to install”, “compiling from the source code”

This section describes how to use pip to install.

1. You need to confirm that your operating system meets the requirements listed above

2. You need to confirm that your processor meets the requirements listed above

3. Confirm that the Python where you need to install PaddlePaddle is your expected location, because your computer may have multiple Python

   Use the following command to output Python path. Depending on your environment, you may need to replace Python in all command lines in the description with specific Python path

   In the Windows environment, the command to output Python path is:

   where python
   

   In the MacOS/Linux environment, the command to output Python path is:

   which python
   

4. Check the version of Python

   Confirm the Python is 3.8/3.9/3.10/3.11/3.12 using command

   python --version
   

5. Check the version of pip and confirm it is 20.2.2 or above

   python -m ensurepip
   python -m pip --version
   

6. Confirm that Python and pip is 64 bit，and the processor architecture is x86_64(or called x64、Intel 64、AMD64)architecture. Currently. The first line below outputs “64bit”, and the second line outputs “x86_64”, “x64” or “AMD64” :

   python -c "import platform;print(platform.architecture()[0]);print(platform.machine())"
   

7. If you want to use pip to install PaddlePaddle, you can use the command below directly:

   (1). CPU version : If you only want to install CPU version, please refer to command below

   Command to install CPU version is:

   python -m pip install paddlepaddle==2.6.0 -i https://mirror.baidu.com/pypi/simple
   
   or
   
   python -m pip install paddlepaddle==2.6.0 -i https://pypi.tuna.tsinghua.edu.cn/simple
   

   (2). GPU version : If you only want to install GPU version, please refer to command below

   Note:

   • You need to confirm that your GPU meets the requirements listed above

   python -m pip install paddlepaddle-gpu==2.6.0 -i https://mirror.baidu.com/pypi/simple
   
   or
   
   python -m pip install paddlepaddle-gpu==2.6.0 -i https://pypi.tuna.tsinghua.edu.cn/simple
   

   Please confirm that the Python where you need to install PaddlePaddle is your expected location, because your computer may have multiple Python. Depending on the environment, you may need to replace Python in all command lines in the instructions with Python 3 or specific Python path.

8. Verify installation

   After the installation is complete, you can use python to enter the Python interpreter and then use import paddle and then paddle.utils.run_check() to verify that the installation was successful.

   If PaddlePaddle is installed successfully! appears, it means the installation was successful.

9. For more information to help, please refer to:

   install under Ubuntu

   install under MacOS

   install under Windows

The second way to install: compile and install with container¶

• We recommend that you use NVIDIA PaddlePaddle Container for your development environment installation.

• Pros

  1. Lastest version of CUDA

  2. Newer verison of Ubuntu OS(18.04)

  3. Performance and development efficiency have been optimized by NVIDIA

The third way to install: compile and install with source code¶

• If you use PaddlePaddle only, we suggest you installation methods pip to install.

• If you need to develop PaddlePaddle, please refer to compile from source code