Install on Windows via PIP

Environmental preparation

1.1 PREQUISITES

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

  • GPU version support CUDA 10.1/10.2/11.0/11.1/11.2,only support single card

  • Python version 3.6+/3.7+/3.8+/3.9+ (64 bit)

  • pip version 20.2.2 or above (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

    • Use the following command to confirm that it is 3.6/3.7/3.8/3.9

      python --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 or above

    python -m ensurepip
    
    python -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”

    python -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 10.1/10.2 with cuDNN 7 (cuDNN version>=7.6.5)

    • CUDA toolkit 11.0 with cuDNN v8.0.4

    • CUDA toolkit 11.1 with cuDNN v8.1.1

    • CUDA toolkit 11.2 with cuDNN v8.1.1

    • Hardware devices with GPU computing power over 3.5

      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 Version of PaddlePaddle

python -m pip install paddlepaddle==2.2.0 -i https://mirror.baidu.com/pypi/simple

2.2 GPU Version of PaddlePaddle

2.2.1 If you are using CUDA 10.1

python -m pip install paddlepaddle-gpu==2.2.0.post101 -f https://www.paddlepaddle.org.cn/whl/windows/mkl/avx/stable.html

2.2.2 If you are using CUDA 10.2

python -m pip install paddlepaddle-gpu==2.2.0 -i https://mirror.baidu.com/pypi/simple

2.2.3 If you are using CUDA 11.0

python -m pip install paddlepaddle-gpu==2.2.0.post110 -f https://www.paddlepaddle.org.cn/whl/windows/mkl/avx/stable.html

2.2.4 If you are using CUDA 11.1

python -m pip install paddlepaddle-gpu==2.2.0.post111 -f https://www.paddlepaddle.org.cn/whl/windows/mkl/avx/stable.html

2.2.5 If you are using CUDA 11.2

python -m pip install paddlepaddle-gpu==2.2.0.post112 -f https://www.paddlepaddle.org.cn/whl/windows/mkl/avx/stable.html

Note:

  • If you are using ampere-based GPU, CUDA 11 above version is recommended; otherwise CUDA 10.2 is recommended for better performance.

  • 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 specific Python path.

  • The above commands install the avx package by default. If your machine does not support avx, you need to install the Paddle package of noavx, you can use the following command to install,noavx version paddle wheel only support python3.8:

    First use the following command to download the wheel package to the local, and then use python -m pip install [name].whl to install locally ([name] is the name of the wheel package):

    • cpu and mkl version installed on noavx machine:

    python -m pip download paddlepaddle==2.2.0 -f https://www.paddlepaddle.org.cn/whl/windows/mkl/noavx/stable.html --no-index --no-deps
    
    • cpu and openblas version installed on noavx machine:

    python -m pip download paddlepaddle==2.2.0 -f https://www.paddlepaddle.org.cn/whl/windows/openblas/noavx/stable.html --no-index --no-deps
    
    • GPU cuda10.1 version install on noavx machine:

    python -m pip download paddlepaddle-gpu==2.2.0.post101 -f https://www.paddlepaddle.org.cn/whl/windows/mkl/noavx/stable.html --no-index --no-deps
    
    • GPU cuda10.2 version install on noavx machine:

    python -m pip download paddlepaddle-gpu==2.2.0 -f https://www.paddlepaddle.org.cn/whl/windows/mkl/noavx/stable.html --no-index --no-deps
    

    To determine whether your machine supports avx, you can install the CPU-Z tool to view the “processor-instruction set”.

Verify installation

After the installation is complete, you can use python 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