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:
| 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.
| 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.