Install on Windows via PIP

Environmental preparation

1.1 PREQUISITES

  • Windows 7/8/10 Pro/Enterprise (64bit)

    • GPU version support CUDA 9.0/10.0/10.1/10.2/11.0,only support single card

  • Python version 2.7.15+/3.5.1+/3.6+/3.7+/3.8+ (64 bit)

  • pip version 20.2.2+ (64 bit)

1.2 How to check your environment

  • Confirm the local operating system and bit information

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

    where python
    
  • You need to confirm whether the version of Python meets the requirements

    • If you are using Python 2, use the following command to confirm that it is 2.7.15+

      python --version
      
    • If you are using Python 3, use the following command to confirm that it is 3.5.1+/3.6/3.7/3.8

      python3 --version
      
  • It is required to confirm whether the version of pip meets the requirements. The version of pip is required to be 20.2.2+

    • If you are using Python 2

      python -m ensurepip
      
      python -m pip --version
      
    • If you are using Python 3

      python3 -m ensurepip
      
      python3 -m pip --version
      
  • You need to confirm that Python and pip are 64bit, and the processor architecture is x86_64(or called x64、Intel 64、AMD64). Currently, paddlepaddle does not support arm64 architecture. The first line below outputs “64bit”, and the second line outputs “x86_64”, “x64” or “AMD64”

    • If you are using Python 2

      python -c "import platform;print(platform.architecture()[0]);print(platform.machine())"
      
    • If you are using Python 3

      python3 -c "import platform;print(platform.architecture()[0]);print(platform.machine())"
      
  • The installation package provided by default requires computer support for MKL

  • If you do not know the machine environment, please download and useQuick install script, for instructions please refer tohere

INSTALLATION

If you installed Python via Homebrew or the Python website, pip was installed with it. If you installed Python 3.x, then you will be using the command pip3. We will introduce pip installation here.

Choose CPU/GPU

  • If your computer doesn’t have NVIDIA® GPU, please install the CPU Version of PaddlePaddle

  • If your computer has NVIDIA® GPU, please make sure that the following conditions are met and install the GPU Version of PaddlePaddle

    • CUDA toolkit 9.0/10.0/10.1/10.2 with cuDNN v7.6.5+

    • CUDA toolkit 11.0 with cuDNN v8.0.4

    • Hardware devices with GPU computing power over 3.0

      You can refer to NVIDIA official documents for installation process and configuration method of CUDA and cudnn. Please refer to CUDAcuDNN

Installation Step

You can choose the following version of PaddlePaddle to start installation:

2.1 CPU Versoion of PaddlePaddle

python -m pip install paddlepaddle -i https://mirror.baidu.com/pypi/simple

2.2 GPU Version of PaddlePaddle

2.2.1 CUDA9.0 PaddlePaddle

python -m pip install paddlepaddle-gpu==2.0.2.post90 -f https://paddlepaddle.org.cn/whl/mkl/stable.html

2.2.2 CUDA10.0 PaddlePaddle

python -m pip install paddlepaddle-gpu==2.0.2.post100 -f https://paddlepaddle.org.cn/whl/mkl/stable.html

2.2.3 CUDA10.1 PaddlePaddle

python -m pip install paddlepaddle-gpu==2.0.2.post101 -f https://paddlepaddle.org.cn/whl/mkl/stable.html

2.2.4 CUDA10.2 PaddlePaddle

python -m pip install paddlepaddle-gpu==2.0.2 -f https://paddlepaddle.org.cn/whl/mkl/stable.html

2.2.5 CUDA11.0 PaddlePaddle

python -m pip install paddlepaddle-gpu==2.0.2.post110 -f https://paddlepaddle.org.cn/whl/mkl/stable.html

Note:

  • 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.

  • If you want to install PaddlePaddle which support CUDA10.2 with cuDNN v7.4+,you can use the following command:

    python -m pip install paddlepaddle-gpu==2.0.2 -f https://paddlepaddle.org.cn/whl/mkl/stable.html
    
  • The above commands install the avx and mkl package by default.

To install PaddlePaddle package with noavx and mkl, please use the following command: cpu support python27 and python38:

python -m pip install paddlepaddle==2.0.2 -f https://paddlepaddle.org.cn/whl/mkl/stable/noavx.html

cuda10.2 support python27 and python38:

python -m pip install paddlepaddle-gpu==2.0.2 -f https://paddlepaddle.org.cn/whl/mkl/stable/noavx.html

CUDA9.0 10.0 10.1 and 11.0 only support python27:

python -m pip install paddlepaddle-gpu==2.0.2.post90 -f https://paddlepaddle.org.cn/whl/mkl/stable/noavx.html
python -m pip install paddlepaddle-gpu==2.0.2.post100 -f https://paddlepaddle.org.cn/whl/mkl/stable/noavx.html
python -m pip install paddlepaddle-gpu==2.0.2.post101 -f https://paddlepaddle.org.cn/whl/mkl/stable/noavx.html
python -m pip install paddlepaddle-gpu==2.0.2.post110 -f https://paddlepaddle.org.cn/whl/mkl/stable/noavx.html

To install PaddlePaddle that supports CUDA 9.0 with noavx and openblas, please use the following command:

python -m pip install paddlepaddle-gpu==2.0.2 -f https://paddlepaddle.org.cn/whl/openblas/stable/noavx.html

To install PaddlePaddle that supports CUDA 9.0 with avx and openblas, please use the following command:

python -m pip install paddlepaddle-gpu==2.0.2 -f https://paddlepaddle.org.cn/whl/openblas/stable.html
  • If you want to install the Paddle package built with tensorrt, please use the following command:

    python -m pip install paddlepaddle-gpu==[版本号] -f https://paddlepaddle.org.cn/whl/stable/tensorrt.html
    

Verify installation

After the installation is complete, you can use python or python3 to enter the Python interpreter and then use import paddle and paddle.utils.run_check()

If PaddlePaddle is installed successfully! appears, to verify that the installation was successful.

How to uninstall

Please use the following command to uninstall PaddlePaddle:

  • CPU version of PaddlePaddle: python -m pip uninstall paddlepaddle

  • GPU version of PaddlePaddle: python -m pip uninstall paddlepaddle-gpu