pip_install_en.rst 6.1 KB
Newer Older
武毅 已提交
1
Install Using pip
T
typhoonzero 已提交
2 3 4 5 6 7 8 9 10 11 12 13 14
================================

You can use current widely used Python package management
tool `pip <https://pip.pypa.io/en/stable/installing/>`_
to install PaddlePaddle. This method can be used in
most of current Linux systems or MacOS.

.. _pip_install:

Install Using pip
------------------------------

Run the following command to install PaddlePaddle on the current
L
Luo Tao 已提交
15
machine, it will also download requirements, the version is cpu_avx_openblas.
T
typhoonzero 已提交
16 17 18 19 20 21

  .. code-block:: bash

     pip install paddlepaddle


L
Luo Tao 已提交
22
If you wish to install GPU version (cuda7.5_cudnn5_avx_openblas), just run:
T
typhoonzero 已提交
23 24 25 26 27 28 29 30 31 32

  .. code-block:: bash

     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.

T
typhoonzero 已提交
33 34 35
If the links below shows up the login form, just click "Log in as guest" to start the download:

.. image:: paddleci.png
T
typhoonzero 已提交
36 37
   :scale: 50 %
   :align: center
T
typhoonzero 已提交
38

T
typhoonzero 已提交
39
..  csv-table:: whl package of each version
L
Luo Tao 已提交
40
    :header: "version", "cp27-cp27mu", "cp27-cp27m", "C-API"
T
typhoonzero 已提交
41 42
    :widths: 1, 3, 3, 3

Y
Yancey1989 已提交
43 44 45 46 47
    "cpu_avx_mkl", "`paddlepaddle-0.11.0-cp27-cp27mu-linux_x86_64.whl <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_CpuAvxCp27cp27mu/.lastSuccessful/paddlepaddle-0.11.0-cp27-cp27mu-linux_x86_64.whl>`_", "`paddlepaddle-0.11.0-cp27-cp27m-linux_x86_64.whl <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_CpuAvxCp27cp27mu/.lastSuccessful/paddlepaddle-0.11.0-cp27-cp27m-linux_x86_64.whl>`_", "`paddle.tgz <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_CpuAvxCp27cp27mu/.lastSuccessful/paddle.tgz>`_"
    "cpu_avx_openblas", "`paddlepaddle-0.11.0-cp27-cp27mu-linux_x86_64.whl <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_CpuAvxOpenblas/.lastSuccessful/paddlepaddle-0.11.0-cp27-cp27mu-linux_x86_64.whl>`_", "`paddlepaddle-0.11.0-cp27-cp27m-linux_x86_64.whl <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_CpuAvxOpenblas/.lastSuccessful/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 <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_Cuda75cudnn5cp27cp27mu/.lastSuccessful/paddlepaddle_gpu-0.11.0-cp27-cp27mu-linux_x86_64.whl>`_", "`paddlepaddle_gpu-0.11.0-cp27-cp27m-linux_x86_64.whl <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_Cuda75cudnn5cp27cp27mu/.lastSuccessful/paddlepaddle_gpu-0.11.0-cp27-cp27m-linux_x86_64.whl>`_", "`paddle.tgz <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_Cuda75cudnn5cp27cp27mu/.lastSuccessful/paddle.tgz>`_"
    "cuda8.0_cudnn5_avx_mkl", "`paddlepaddle_gpu-0.11.0-cp27-cp27mu-linux_x86_64.whl <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_Cuda80cudnn5cp27cp27mu/.lastSuccessful/paddlepaddle_gpu-0.11.0-cp27-cp27mu-linux_x86_64.whl>`_", "`paddlepaddle_gpu-0.11.0-cp27-cp27m-linux_x86_64.whl <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_Cuda80cudnn5cp27cp27mu/.lastSuccessful/paddlepaddle_gpu-0.11.0-cp27-cp27m-linux_x86_64.whl>`_", "`paddle.tgz <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_Cuda80cudnn5cp27cp27mu/.lastSuccessful/paddle.tgz>`_"
    "cuda8.0_cudnn7_avx_mkl", "`paddlepaddle_gpu-0.11.0-cp27-cp27mu-linux_x86_64.whl <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_Cuda8cudnn7cp27cp27mu/.lastSuccessful/paddlepaddle_gpu-0.11.0-cp27-cp27mu-linux_x86_64.whl>`_", "`paddlepaddle_gpu-0.11.0-cp27-cp27m-linux_x86_64.whl <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_Cuda8cudnn7cp27cp27mu/.lastSuccessful/paddlepaddle_gpu-0.11.0-cp27-cp27m-linux_x86_64.whl>`_", "`paddle.tgz <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_Cuda8cudnn7cp27cp27mu/.lastSuccessful/paddle.tgz>`_"
T
typhoonzero 已提交
48 49 50 51 52 53 54

.. _pip_dependency:

Runtime Dependency
------------------------------

PaddlePaddle installation packages (whl) does not only contain .py files,
T
typhoonzero 已提交
55
but also binaries built from C++ code. We ensure that PaddlePaddle can
T
typhoonzero 已提交
56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104
run on current mainline Linux distributions, like CentOS 6, Ubuntu 14.04
and MacOS 10.12.

PaddlePaddle whl packages are trying to satisfy
`manylinux1 <https://www.python.org/dev/peps/pep-0513/#the-manylinux1-policy>`_
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.

.. csv-table:: PaddlePaddle Runtime Deps
   :header: "Dependency", "version", "description"
   :widths: 10, 15, 30

   "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"

.. _pip_faq:

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:

    .. code-block:: bash

       pip install --upgrade pip

  If the problem still exists, run the following command:

      .. code-block:: bash

         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 <https://pypi.python.org/pypi/paddlepaddle/0.10.5>`_

  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.