# Install using pip

You can use current widely used Python package management tool pip to install PaddlePaddle. This method can be used in most of current Linux systems or MacOS.

## Install using pip

Run the following command to install PaddlePaddle on the current machine, it will also download requirements, the version is cpu_avx_openblas.

>     pip install paddlepaddle

If you wish to install GPU version (cuda7.5_cudnn5_avx_openblas), just run:

>     pip install paddlepaddle-gpu

If you wish to install the latest develop branch PaddlePaddle, you can download the latest whl package from our CI system. Access the below links, log in as guest, then click at the “Artifact” tab, you’ll find the download link of whl packages.

If the links below shows up the login form, just click “Log in as guest” to start the download:

whl package of each version
version | cp27-cp27mu | cp27-cp27m | C-API
--- | --- | --- | ---
cpu_avx_mkl | paddlepaddle-0.11.0-cp27-cp27mu-linux_x86_64.whl | paddlepaddle-0.11.0-cp27-cp27m-linux_x86_64.whl | paddle.tgz
cpu_avx_openblas | paddlepaddle-0.11.0-cp27-cp27mu-linux_x86_64.whl | paddlepaddle-0.11.0-cp27-cp27m-linux_x86_64.whl | Not Available
cpu_noavx_openblas | paddlepaddle-0.11.0-cp27-cp27mu-linux_x86_64.whl | paddlepaddle-0.11.0-cp27-cp27m-linux_x86_64.whl | Not Available
cuda7.5_cudnn5_avx_mkl | paddlepaddle_gpu-0.11.0-cp27-cp27mu-linux_x86_64.whl | paddlepaddle_gpu-0.11.0-cp27-cp27m-linux_x86_64.whl | paddle.tgz
cuda8.0_cudnn5_avx_mkl | paddlepaddle_gpu-0.11.0-cp27-cp27mu-linux_x86_64.whl | paddlepaddle_gpu-0.11.0-cp27-cp27m-linux_x86_64.whl | paddle.tgz
cuda8.0_cudnn7_avx_mkl | paddlepaddle_gpu-0.11.0-cp27-cp27mu-linux_x86_64.whl | paddlepaddle_gpu-0.11.0-cp27-cp27m-linux_x86_64.whl | paddle.tgz

## Runtime Dependency

PaddlePaddle installation packages (whl) does not only contain .py files, but also binaries built from C++ code. We ensure that PaddlePaddle can run on current mainline Linux distributions, like CentOS 6, Ubuntu 14.04 and MacOS 10.12.

PaddlePaddle whl packages are trying to satisfy manylinux1 standard, which uses CentOS 5 as default build environment. But CUDA libraries seems only run on CentOS 6 at least, also, CentOS 5 is about to end its lifetime, so we use CentOS 6 as default build environment.

PaddlePaddle Runtime Deps
Dependency | version | description
--- | --- | ---
OS | Linux, MacOS | CentOS 6 or later，Ubuntu 14.04 or later，MacOS 10.12 or later
Python | 2.7.x | Currently Python3 is not supported
libc.so | GLIBC_2.7 | glibc at least include GLIBC_2.7 symbols
libstdc++.so | GLIBCXX_3.4.11, CXXABI_1.3.3 | At least include GLIBCXX_3.4.11, CXXABI_1.3.3 symbols
libgcc_s.so | GCC_3.3 | At least include GCC_3.3 symbols

## FAQ

- paddlepaddle*.whl is not a supported wheel on this platform.

  The main cause of this issue is that your current platform is not supported. Please check that you are using Python 2.7 series. Besides, pypi only supports manylinux1 standard, you’ll need to upgrade your pip to >9.0.0. Then run the below command:

  >     pip install --upgrade pip

  If the problem still exists, run the following command:

  >     python -c "import pip; print(pip.pep425tags.get_supported())"

  Then you’ll get supported package suffixes, then check if it matches the file name of the whl package. You can find default whl package at here

  If your system supports linux_x86_64 but the whl package is manylinux1_x86_64, you’ll need to update pip to the latest version; If your system supports manylinux1_x86_64 but the whl package is linux_x86_64 you can rename the file to manylinux1_x86_64 suffix and then install.