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Build and Install
Installing from Sources
=================
## Requirement
* [1. Download and Setup](#download)
* [2. Requirements](#requirements)
* [3. Build on Ubuntu](#ubuntu)
* [4. Build on Mac OS X](#mac)
### Dependents
## <span id="download">Download and Setup</span>
You can download PaddlePaddle from the [github source](https://github.com/gangliao/Paddle).
- **CMake**: required for 2.8+ version
- **g++**: a recent c++ compiler supporting c++11, >= 4.6, < 5
- **BLAS library**: such as openBLAS, MKL, ATLAS
- **protobuf**: required for 2.4+ version, 3.x is not supported
- **python**: currently only 2.7 version is supported
```bash
git clone https://github.com/baidu/Paddle paddle
```
## <span id="requirements">Requirements</span>
To compile the source code, your computer must be equipped with GCC >=4.6 or Clang Compiler.
### Dependencies
- **CMake**: version >= 2.8
- **BLAS**: MKL, OpenBlas or ATLAS
- **protobuf**: version >= 2.4, **Note: 3.x is not supported**
- **python**: only python 2.7 is supported currently
### Options
PaddlePaddle supports some build options. To enable it, first you need to install the related libraries.
Optional | Description
------------ | :-----------
**WITH_GPU** | Compile with GPU mode.
**WITH_DOUBLE** | Compile with double precision floating-point, default: single precision. |
**WITH_GLOG** | Compile with glog. If not found, default: an internal log implementation.
**WITH_GFLAGS** | Compile with gflags. If not found, default: an internal flag implementation.
**WITH_TESTING** | Compile with gtest for PaddlePaddle's unit testing.
**WITH_DOC** | Compile to generate PaddlePaddle's docs, default: disabled (OFF).
**WITH_SWIG_PY** | Compile with python predict API, default: disabled (OFF).
**WITH_STYLE_CHECK**| Compile with code style check, default: enabled (ON).
|
### Optional
**Note:**
- The GPU version works best with Cuda Toolkit 7.5 and cuDNN v5.
- Other versions like Cuda Toolkit 6.5, 7.0, 8.0 and cuDNN v2, v3, v4 are also supported.
- **To utilize cuDNN v5, Cuda Toolkit 7.5 is prerequisite and vice versa.**
PaddlePaddle also support some build options, you have to install related libraries.
As a simple example, consider the following:
- **WITH_GPU**: Compile with gpu mode
- The GPU version works best with Cuda Toolkit 7.5 and cuDNN v5
- Other versions Cuda Toolkit 6.5, 7.0 and cuDNN v2, v3, v4 are also supported
- Note: to utilize cuDNN v5, Cuda Toolkit 7.5 is prerequisite and vice versa
- **WITH_DOUBLE**: Compile with double precision, otherwise use single precision
- **WITH_GLOG**: Compile with glog, otherwise use a log implement internally
- **WITH_GFLAGS**: Compile with gflags, otherwise use a flag implement internally
- **WITH_TESTING**: Compile with gtest and run unittest for PaddlePaddle
- **WITH_DOC**: Compile with documentation
- **WITH_SWIG_PY**: Compile with python predict api
- **WITH_STYLE_CHECK**: Style check for source code
1. **Python Dependencies(optional)**
To compile PaddlePaddle with python predict API, make sure swig installed and set `-DWITH_SWIG_PY=ON` as follows:
```bash
# install swig on ubuntu
sudo apt-get install swig
# install swig on Mac OS X
brew install swig
# active swig in cmake
cmake .. -DWITH_SWIG_PY=ON
```
2. **Doc Dependencies(optional)**
To generate PaddlePaddle's documentation, install dependencies and set `-DWITH_DOC=ON` as follows:
```bash
pip install 'sphinx>=1.4.0'
pip install sphinx_rtd_theme breathe recommonmark
## Building on Ubuntu14.04
# install doxygen on Ubuntu
sudo apt-get install doxygen
# install doxygen on Mac OS X
brew install doxygen
# active docs in cmake
cmake .. -DWITH_DOC=ON`
```
## <span id="ubuntu">Build on Ubuntu 14.04</span>
### Install Dependencies
- **CPU Dependencies**
```bash
# necessary
sudo apt-get update
sudo apt-get install -y g++ make cmake build-essential libatlas-base-dev python python-pip libpython-dev m4 libprotobuf-dev protobuf-compiler python-protobuf python-numpy git
# optional
sudo apt-get install libgoogle-glog-dev
sudo apt-get install libgflags-dev
sudo apt-get install libgtest-dev
sudo pip install wheel
pushd /usr/src/gtest
cmake .
make
sudo cp *.a /usr/lib
popd
```
```bash
# necessary
sudo apt-get update
sudo apt-get install -y g++ make cmake build-essential libatlas-base-dev python python-pip libpython-dev m4 libprotobuf-dev protobuf-compiler python-protobuf python-numpy git
# optional
sudo apt-get install libgoogle-glog-dev
sudo apt-get install libgflags-dev
sudo apt-get install libgtest-dev
sudo pip install wheel
pushd /usr/src/gtest
cmake .
make
sudo cp *.a /usr/lib
popd
```
- **GPU Dependencies(optional)**
- **GPU Dependencies (optional)**
If you need to build GPU version, the first thing you need is a machine that has GPU and CUDA installed.
And you also need to install cuDNN.
To build GPU version, you will need the following installed:
You can download CUDA toolkit and cuDNN from nvidia website:
```bash
https://developer.nvidia.com/cuda-downloads
https://developer.nvidia.com/cudnn
```
You can copy cuDNN files into the CUDA toolkit directory, such as:
1. a CUDA-capable GPU
2. A supported version of Linux with a gcc compiler and toolchain
3. NVIDIA CUDA Toolkit (available at http://developer.nvidia.com/cuda-downloads)
4. NVIDIA cuDNN Library (availabel at https://developer.nvidia.com/cudnn)
The CUDA development environment relies on tight integration with the host development environment,
including the host compiler and C runtime libraries, and is therefore only supported on
distribution versions that have been qualified for this CUDA Toolkit release.
After downloading cuDNN library, issue the following commands:
```bash
sudo tar -xzf cudnn-7.5-linux-x64-v5.1.tgz -C /usr/local
sudo chmod a+r /usr/local/cuda/include/cudnn.h /usr/local/cuda/lib64/libcudnn*
```
Then you need to set LD\_LIBRARY\_PATH, CUDA\_HOME and PATH environment variables in ~/.bashrc.
```bash
export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH
export CUDA_HOME=/usr/local/cuda
export PATH=/usr/local/cuda/bin:$PATH
```
### Build and Install
As usual, the best option is to create build folder under paddle project directory.
```bash
sudo tar -xzf cudnn-7.5-linux-x64-v5.1.tgz -C /usr/local
sudo chmod a+r /usr/local/cuda/include/cudnn.h /usr/local/cuda/lib64/libcudnn*
mkdir build && cd build
cmake ..
```
Then you need to set LD\_LIBRARY\_PATH, CUDA\_HOME and PATH environment variables in ~/.bashrc.
CMake first check PaddlePaddle's dependencies in system default path. After installing some optional
libraries, corresponding build option will be set automatically (for instance, glog, gtest and gflags).
If still not found, you can manually set it based on CMake error information from your screen.
As a simple example, consider the following:
- **Only CPU**
```bash
cmake .. -DWITH_GPU=OFF -DWITH_DOC=OFF
```
- **GPU**
```bash
cmake .. -DWITH_GPU=ON -DWITH_DOC=OFF
```
- **GPU with doc and swig**
```bash
cmake .. -DWITH_GPU=ON -DWITH_DOC=ON -DWITH_SWIG_PY=ON
```
Finally, you can download source code and build:
```bash
export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH
export CUDA_HOME=/usr/local/cuda
export PATH=/usr/local/cuda/bin:$PATH
# you can add build option here, such as:
cmake .. -DWITH_GPU=ON -DWITH_DOC=OFF -DCMAKE_INSTALL_PREFIX=<path to install>
# please use sudo make install, if you want
# to install PaddlePaddle into the system
make -j `nproc` && make install
# set PaddlePaddle installation path in ~/.bashrc
export PATH=<path to install>/bin:$PATH
```
- **Python Dependencies(optional)**
If you want to compile PaddlePaddle with python predict api, you need to add -DWITH_SWIG_PY=ON in cmake command and install these first:
**Note:**
If you set `WITH_SWIG_PY=ON`, related python dependencies also need to be installed.
Otherwise, PaddlePaddle will automatically install python dependencies
at first time when user run paddle commands, such as `paddle version`, `paddle train`.
It may require sudo privileges:
```bash
sudo apt-get install swig
# you can run
sudo pip install <path to install>/opt/paddle/share/wheels/*.whl
# or just run
sudo paddle version
```
- **Doc Dependencies(optional)**
## <span id="mac">Building on Mac OS X</span>
If you want to compile PaddlePaddle with doc, you need to add -DWITH_DOC=ON in cmake command and install these first:
### Prerequisites
This guide is based on Mac OS X 10.11 (El Capitan). Note that if you are running an up to date version of OS X,
you will already have Python 2.7.10 and Numpy 1.8 installed.
The best option is to use the package manager homebrew to handle installations and upgrades for you.
To install [homebrew](http://brew.sh/), first open a terminal window (you can find Terminal in the Utilities folder in Applications), and issue the command:
```bash
pip install 'sphinx>=1.4.0'
pip install sphinx_rtd_theme breathe recommonmark
sudo apt-get install doxygen
# install brew
/usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
# install pip
easy_install pip
```
### Build and Install
### Install Dependencies
CMake will find dependent libraries in system default paths first. After installing some optional libraries, corresponding build option will automatically be on(such as glog, gtest and gflags). And if libraries are not found, you have to set following variables manually in cmake command(CUDNN_ROOT, ATLAS_ROOT, MKL_ROOT, OPENBLAS_ROOT).
- **CPU Dependencies**
Here are some examples of cmake command with different options:
```bash
# Install fundamental dependents
brew install glog gflags cmake protobuf openblas
# Install google test on Mac OS X
# Download gtest 1.7.0
wget https://github.com/google/googletest/archive/release-1.7.0.tar.gz
tar -xvf googletest-release-1.7.0.tar.gz && cd googletest-release-1.7.0
# Build gtest
mkdir build && cmake ..
make
# Install gtest library
sudo cp -r ../include/gtest /usr/local/include/
sudo cp lib*.a /usr/local/lib
```
**only cpu**
- **GPU Dependencies(optional)**
```bash
cmake -DWITH_GPU=OFF -DWITH_DOC=OFF
```
To build GPU version, you will need the following installed:
1. a CUDA-capable GPU
2. Mac OS X 10.11 or later
2. the Clang compiler and toolchain installed using Xcode
3. NVIDIA CUDA Toolkit (available at http://developer.nvidia.com/cuda-downloads)
4. NVIDIA cuDNN Library (availabel at https://developer.nvidia.com/cudnn)
The CUDA development environment relies on tight integration with the host development environment,
including the host compiler and C runtime libraries, and is therefore only supported on
distribution versions that have been qualified for this CUDA Toolkit release.
1. After downloading cuDNN library, issue the following commands:
```bash
sudo tar -xzf cudnn-7.5-osx-x64-v5.0-ga.tgz -C /usr/local
sudo chmod a+r /usr/local/cuda/include/cudnn.h /usr/local/cuda/lib64/libcudnn*
```
2. Then you need to set DYLD\_LIBRARY\_PATH, CUDA\_HOME and PATH environment variables in ~/.bashrc.
**gpu**
```bash
export DYLD_LIBRARY_PATH=/usr/local/cuda/lib:$DYLD_LIBRARY_PATH
export PATH=/usr/local/cuda/bin:$PATH
```
### Build and Install
As usual, the best option is to create build folder under paddle project directory.
```bash
cmake -DWITH_GPU=ON -DWITH_DOC=OFF
mkdir build && cd build
cmake ..
```
**gpu with doc and swig**
CMake first check PaddlePaddle's dependencies in system default path. After installing some optional
libraries, corresponding build option will be set automatically (for instance, glog, gtest and gflags).
If still not found, you can manually set it based on CMake error information from your screen.
```bash
cmake -DWITH_GPU=ON -DWITH_DOC=ON -DWITH_SWIG_PY=ON
```
As a simple example, consider the following:
Finally, you can download source code and build:
- **Only CPU**
```bash
cmake .. -DWITH_GPU=OFF -DWITH_DOC=OFF
```
- **GPU**
```bash
cmake .. -DWITH_GPU=ON -DWITH_DOC=OFF
```
- **GPU with doc and swig**
```bash
cmake .. -DWITH_GPU=ON -DWITH_DOC=ON -DWITH_SWIG_PY=ON
```
Finally, you can build PaddlePaddle:
```bash
git clone https://github.com/baidu/Paddle paddle
cd paddle
mkdir build
cd build
# you can add build option here, such as:
cmake -DWITH_GPU=ON -DWITH_DOC=OFF -DCMAKE_INSTALL_PREFIX=<path to install> ..
# please use sudo make install, if you want
# to install PaddlePaddle into the system
cmake .. -DWITH_GPU=ON -DWITH_DOC=OFF -DCMAKE_INSTALL_PREFIX=<installation path>
# please use sudo make install, if you want to install PaddlePaddle into the system
make -j `nproc` && make install
# PaddlePaddle installation path
export PATH=<path to install>/bin:$PATH
# set PaddlePaddle installation path in ~/.bashrc
export PATH=<installation path>/bin:$PATH
```
**Note**
And if you set WITH_SWIG_PY=ON, you have to install related python predict api at the same time:
**Note:**
If you set `WITH_SWIG_PY=ON`, related python dependencies also need to be installed.
Otherwise, PaddlePaddle will automatically install python dependencies
at first time when user run paddle commands, such as `paddle version`, `paddle train`.
It may require sudo privileges:
```bash
pip install <path to install>/opt/paddle/share/wheels/*.whl
```
# you can run
sudo pip install <path to install>/opt/paddle/share/wheels/*.whl
# or just run
sudo paddle version
```
\ No newline at end of file
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<link rel="top" title="PaddlePaddle documentation" href="../index.html" />
<link rel="up" title="Build And Install PaddlePaddle" href="index.html" />
<link rel="next" title="Docker installation guide" href="docker_install.html" />
<link rel="prev" title="Build and Install" href="build_from_source.html" />
<link rel="prev" title="Installing from Sources" href="build_from_source.html" />
<script>
var _hmt = _hmt || [];
(function() {
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<a href="docker_install.html" title="Docker installation guide"
accesskey="N">next</a> |</li>
<li class="right" >
<a href="build_from_source.html" title="Build and Install"
<a href="build_from_source.html" title="Installing from Sources"
accesskey="P">previous</a> |</li>
<li class="nav-item nav-item-0"><a href="../index.html">PaddlePaddle documentation</a> &#187;</li>
<li class="nav-item nav-item-1"><a href="index.html" accesskey="U">Build And Install PaddlePaddle</a> &#187;</li>
......@@ -188,7 +188,7 @@ git push -f origin HEAD
<h4>Previous topic</h4>
<p class="topless"><a href="build_from_source.html"
title="previous chapter">Build and Install</a></p>
title="previous chapter">Installing from Sources</a></p>
<h4>Next topic</h4>
<p class="topless"><a href="docker_install.html"
title="next chapter">Docker installation guide</a></p>
......@@ -226,7 +226,7 @@ git push -f origin HEAD
<a href="docker_install.html" title="Docker installation guide"
>next</a> |</li>
<li class="right" >
<a href="build_from_source.html" title="Build and Install"
<a href="build_from_source.html" title="Installing from Sources"
>previous</a> |</li>
<li class="nav-item nav-item-0"><a href="../index.html">PaddlePaddle documentation</a> &#187;</li>
<li class="nav-item nav-item-1"><a href="index.html" >Build And Install PaddlePaddle</a> &#187;</li>
......
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<script type="text/javascript" src="../_static/doctools.js"></script>
<script type="text/javascript" src="https://cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML"></script>
<link rel="top" title="PaddlePaddle documentation" href="../index.html" />
<link rel="next" title="Build and Install" href="build_from_source.html" />
<link rel="next" title="Installing from Sources" href="build_from_source.html" />
<link rel="prev" title="Quick Start Tutorial" href="../demo/quick_start/index_en.html" />
<script>
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<li class="right" >
<a href="build_from_source.html" title="Build and Install"
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accesskey="N">next</a> |</li>
<li class="right" >
<a href="../demo/quick_start/index_en.html" title="Quick Start Tutorial"
......@@ -77,7 +77,7 @@ var _hmt = _hmt || [];
<p>If you want to hack and contribute PaddlePaddle source code, following guides can help you:</p>
<div class="toctree-wrapper compound">
<ul>
<li class="toctree-l1"><a class="reference internal" href="build_from_source.html">Build and Install</a></li>
<li class="toctree-l1"><a class="reference internal" href="build_from_source.html">Installing from Sources</a></li>
<li class="toctree-l1"><a class="reference internal" href="contribute_to_paddle.html">Contribute to PaddlePaddle</a></li>
</ul>
</div>
......@@ -117,7 +117,7 @@ state and your experience of installation may not be smooth.</p>
title="previous chapter">Quick Start Tutorial</a></p>
<h4>Next topic</h4>
<p class="topless"><a href="build_from_source.html"
title="next chapter">Build and Install</a></p>
title="next chapter">Installing from Sources</a></p>
<div role="note" aria-label="source link">
<h3>This Page</h3>
<ul class="this-page-menu">
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<a href="../py-modindex.html" title="Python Module Index"
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<a href="build_from_source.html" title="Installing from Sources"
>next</a> |</li>
<li class="right" >
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</dt>
<dt><a href="source/cuda/rnn/rnn.html#_CPPv24hppl">hppl (C++ type)</a>, <a href="source/cuda/rnn/rnn.html#_CPPv24hppl">[1]</a>, <a href="source/cuda/rnn/rnn.html#_CPPv24hppl">[2]</a>, <a href="source/cuda/rnn/rnn.html#_CPPv24hppl">[3]</a>, <a href="source/cuda/rnn/rnn.html#_CPPv24hppl">[4]</a>, <a href="source/cuda/rnn/rnn.html#_CPPv24hppl">[5]</a>
<dt><a href="source/cuda/rnn/rnn.html#_CPPv24hppl">hppl (C++ type)</a>, <a href="source/cuda/rnn/rnn.html#_CPPv24hppl">[1]</a>, <a href="source/cuda/rnn/rnn.html#_CPPv24hppl">[2]</a>, <a href="source/cuda/rnn/rnn.html#_CPPv24hppl">[3]</a>, <a href="source/cuda/rnn/rnn.html#_CPPv24hppl">[4]</a>
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</dt>
<dt><a href="source/math/matrix/matrix.html#_CPPv26paddle">paddle (C++ type)</a>, <a href="source/math/matrix/matrix.html#_CPPv26paddle">[1]</a>, <a href="source/math/matrix/matrix.html#_CPPv26paddle">[2]</a>, <a href="source/math/matrix/matrix.html#_CPPv26paddle">[3]</a>, <a href="source/math/matrix/matrix.html#_CPPv26paddle">[4]</a>, <a href="source/math/matrix/matrix.html#_CPPv26paddle">[5]</a>, <a href="source/math/matrix/matrix.html#_CPPv26paddle">[6]</a>, <a href="source/math/matrix/matrix.html#_CPPv26paddle">[7]</a>, <a href="source/math/utils/utils.html#_CPPv26paddle">[8]</a>, <a href="source/math/utils/utils.html#_CPPv26paddle">[9]</a>, <a href="source/math/utils/utils.html#_CPPv26paddle">[10]</a>, <a href="source/math/utils/utils.html#_CPPv26paddle">[11]</a>, <a href="source/parameter/optimizer/optimizer.html#_CPPv26paddle">[12]</a>, <a href="source/parameter/optimizer/optimizer.html#_CPPv26paddle">[13]</a>, <a href="source/parameter/optimizer/optimizer.html#_CPPv26paddle">[14]</a>, <a href="source/parameter/optimizer/optimizer.html#_CPPv26paddle">[15]</a>, <a href="source/parameter/parameter/parameter.html#_CPPv26paddle">[16]</a>, <a href="source/parameter/parameter/parameter.html#_CPPv26paddle">[17]</a>, <a href="source/parameter/parameter/parameter.html#_CPPv26paddle">[18]</a>, <a href="source/parameter/parameter/parameter.html#_CPPv26paddle">[19]</a>, <a href="source/parameter/parameter/parameter.html#_CPPv26paddle">[20]</a>, <a href="source/parameter/update/update.html#_CPPv26paddle">[21]</a>, <a href="source/parameter/update/update.html#_CPPv26paddle">[22]</a>
<dt><a href="source/cuda/rnn/rnn.html#_CPPv26paddle">paddle (C++ type)</a>, <a href="source/math/matrix/matrix.html#_CPPv26paddle">[1]</a>, <a href="source/math/matrix/matrix.html#_CPPv26paddle">[2]</a>, <a href="source/math/matrix/matrix.html#_CPPv26paddle">[3]</a>, <a href="source/math/matrix/matrix.html#_CPPv26paddle">[4]</a>, <a href="source/math/matrix/matrix.html#_CPPv26paddle">[5]</a>, <a href="source/math/matrix/matrix.html#_CPPv26paddle">[6]</a>, <a href="source/math/matrix/matrix.html#_CPPv26paddle">[7]</a>, <a href="source/math/matrix/matrix.html#_CPPv26paddle">[8]</a>, <a href="source/math/utils/utils.html#_CPPv26paddle">[9]</a>, <a href="source/math/utils/utils.html#_CPPv26paddle">[10]</a>, <a href="source/math/utils/utils.html#_CPPv26paddle">[11]</a>, <a href="source/math/utils/utils.html#_CPPv26paddle">[12]</a>, <a href="source/parameter/optimizer/optimizer.html#_CPPv26paddle">[13]</a>, <a href="source/parameter/optimizer/optimizer.html#_CPPv26paddle">[14]</a>, <a href="source/parameter/optimizer/optimizer.html#_CPPv26paddle">[15]</a>, <a href="source/parameter/optimizer/optimizer.html#_CPPv26paddle">[16]</a>, <a href="source/parameter/parameter/parameter.html#_CPPv26paddle">[17]</a>, <a href="source/parameter/parameter/parameter.html#_CPPv26paddle">[18]</a>, <a href="source/parameter/parameter/parameter.html#_CPPv26paddle">[19]</a>, <a href="source/parameter/parameter/parameter.html#_CPPv26paddle">[20]</a>, <a href="source/parameter/parameter/parameter.html#_CPPv26paddle">[21]</a>, <a href="source/parameter/update/update.html#_CPPv26paddle">[22]</a>, <a href="source/parameter/update/update.html#_CPPv26paddle">[23]</a>
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<dt><a href="source/math/matrix/matrix.html#_CPPv2N6paddle12MatrixOffset5bRow_E">paddle::MatrixOffset::bRow_ (C++ member)</a>
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<td style="width: 33%" valign="top"><dl>
<dt><a href="source/math/matrix/matrix.html#_CPPv2N6paddle12MatrixOffset5cCol_E">paddle::MatrixOffset::cCol_ (C++ member)</a>
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</dt>
<dt><a href="source/utils/thread.html#_CPPv2N6paddle9Semaphore4postEv">paddle::Semaphore::post (C++ function)</a>
<dt><a href="source/utils/thread.html#_CPPv2N6paddle9SemaphoreaSERRK9Semaphore">paddle::Semaphore::operator= (C++ function)</a>
</dt>
<dt><a href="source/utils/thread.html#_CPPv2N6paddle9Semaphore4sem_E">paddle::Semaphore::sem_ (C++ member)</a>
<dt><a href="source/utils/thread.html#_CPPv2N6paddle9Semaphore4postEv">paddle::Semaphore::post (C++ function)</a>
</dt>
<dt><a href="source/utils/thread.html#_CPPv2N6paddle9Semaphore9SemaphoreEi">paddle::Semaphore::Semaphore (C++ function)</a>
<dt><a href="source/utils/thread.html#_CPPv2N6paddle9Semaphore9SemaphoreERK9Semaphore">paddle::Semaphore::Semaphore (C++ function)</a>, <a href="source/utils/thread.html#_CPPv2N6paddle9Semaphore9SemaphoreERR9Semaphore">[1]</a>, <a href="source/utils/thread.html#_CPPv2N6paddle9Semaphore9SemaphoreEi">[2]</a>
</dt>
......@@ -15463,23 +15463,15 @@ var _hmt = _hmt || [];
</dt>
<dt><a href="source/utils/thread.html#_CPPv2N6paddle8SpinLock4lockEv">paddle::SpinLock::lock (C++ function)</a>
<dt><a href="source/utils/thread.html#_CPPv2N6paddle8SpinLock12DISABLE_COPYE8SpinLock">paddle::SpinLock::DISABLE_COPY (C++ function)</a>
</dt>
<dt><a href="source/utils/thread.html#_CPPv2N6paddle8SpinLock5lock_E">paddle::SpinLock::lock_ (C++ member)</a>
</dt>
<dt><a href="source/utils/thread.html#_CPPv2N6paddle8SpinLockaSERK8SpinLock">paddle::SpinLock::operator= (C++ function)</a>
</dt>
<dt><a href="source/utils/thread.html#_CPPv2N6paddle8SpinLock8padding_E">paddle::SpinLock::padding_ (C++ member)</a>
<dt><a href="source/utils/thread.html#_CPPv2N6paddle8SpinLock4lockEv">paddle::SpinLock::lock (C++ function)</a>
</dt>
<dt><a href="source/utils/thread.html#_CPPv2N6paddle8SpinLock8SpinLockERK8SpinLock">paddle::SpinLock::SpinLock (C++ function)</a>, <a href="source/utils/thread.html#_CPPv2N6paddle8SpinLock8SpinLockEv">[1]</a>
<dt><a href="source/utils/thread.html#_CPPv2N6paddle8SpinLock8SpinLockEv">paddle::SpinLock::SpinLock (C++ function)</a>
</dt>
......@@ -15891,15 +15883,11 @@ var _hmt = _hmt || [];
</dt>
<dt><a href="source/utils/thread.html#_CPPv2N6paddle13ThreadBarrier8barrier_E">paddle::ThreadBarrier::barrier_ (C++ member)</a>
</dt>
<dt><a href="source/utils/thread.html#_CPPv2N6paddle13ThreadBarrieraSERK13ThreadBarrier">paddle::ThreadBarrier::operator= (C++ function)</a>
<dt><a href="source/utils/thread.html#_CPPv2N6paddle13ThreadBarrier12DISABLE_COPYE13ThreadBarrier">paddle::ThreadBarrier::DISABLE_COPY (C++ function)</a>
</dt>
<dt><a href="source/utils/thread.html#_CPPv2N6paddle13ThreadBarrier13ThreadBarrierERK13ThreadBarrier">paddle::ThreadBarrier::ThreadBarrier (C++ function)</a>, <a href="source/utils/thread.html#_CPPv2N6paddle13ThreadBarrier13ThreadBarrierEi">[1]</a>
<dt><a href="source/utils/thread.html#_CPPv2N6paddle13ThreadBarrier13ThreadBarrierEi">paddle::ThreadBarrier::ThreadBarrier (C++ function)</a>
</dt>
......
doc/objects.inv
浏览文件 @ 04be43da
无法预览此类型文件
doc/searchindex.js
浏览文件 @ 04be43da
此差异已折叠。
doc/source/cuda/rnn/rnn.html
浏览文件 @ 04be43da
......@@ -499,13 +499,29 @@ var _hmt = _hmt || [];
</div>
<dl class="type">
<dt>
<span class="target" id="paddlenamespacehppl"></span><em class="property">namespace </em><code class="descname">hppl</code></dt>
<dt id="_CPPv26paddle">
<span id="paddle"></span><span class="target" id="paddlenamespacepaddle"></span><em class="property">namespace </em><code class="descname">paddle</code><a class="headerlink" href="#_CPPv26paddle" title="Permalink to this definition"></a></dt>
<dd><div class="breathe-sectiondef container">
<p class="breathe-sectiondef-title rubric">Functions</p>
<dl class="function">
<dt>
<span class="target" id="paddlenamespacehppl_1a0ed7e93b31507e74ab94784d08288292"></span><code class="descname">static __inline__ __device__ double hppl::atomicAdd(double * address, double val)</code></dt>
<em class="property">template </em>&lt;<em class="property">class</em> T&gt;</dt>
<dt>
<span class="target" id="paddlenamespacepaddle_1abcad9a84d03d6d95c6f95c2374c507f1"></span><code class="descname">__device__ T paddle::paddleAtomicAdd(T * address, T val)</code></dt>
<dd></dd></dl>
<dl class="function">
<dt>
<em class="property">template </em>&lt;&gt;</dt>
<dt>
<span class="target" id="paddlenamespacepaddle_1a13d9db60a2cb630b48e01dc46334ae9c"></span><code class="descname">__device__ float paddle::paddleAtomicAdd(float * address, float val)</code></dt>
<dd></dd></dl>
<dl class="function">
<dt>
<em class="property">template </em>&lt;&gt;</dt>
<dt>
<span class="target" id="paddlenamespacepaddle_1a7cc9b9f8e1a0ea1ff5d017d341551041"></span><code class="descname">__device__ double paddle::paddleAtomicAdd(double * address, double val)</code></dt>
<dd></dd></dl>
</div>
......
doc/source/parameter/update/update.html
浏览文件 @ 04be43da
......@@ -313,7 +313,7 @@ var _hmt = _hmt || [];
<p class="breathe-sectiondef-title rubric">Variables</p>
<dl class="member">
<dt id="_CPPv2N6paddle13__attribute__E">
<span id="paddle::__attribute____paddle::IParameterUpdaterHook"></span><span class="target" id="paddlenamespacepaddle_1ae83136be5a20c0fcca6a7858f6cf7b56"></span><em class="property">class</em> <a class="reference internal" href="../../math/matrix/matrix.html#_CPPv26paddle" title="paddle">paddle</a>::<a class="reference internal" href="#_CPPv2N6paddle21IParameterUpdaterHookE" title="paddle::IParameterUpdaterHook">IParameterUpdaterHook</a> <code class="descname">__attribute__</code><a class="headerlink" href="#_CPPv2N6paddle13__attribute__E" title="Permalink to this definition"></a></dt>
<span id="paddle::__attribute____paddle::IParameterUpdaterHook"></span><span class="target" id="paddlenamespacepaddle_1ae83136be5a20c0fcca6a7858f6cf7b56"></span><em class="property">class</em> <a class="reference internal" href="../../cuda/rnn/rnn.html#_CPPv26paddle" title="paddle">paddle</a>::<a class="reference internal" href="#_CPPv2N6paddle21IParameterUpdaterHookE" title="paddle::IParameterUpdaterHook">IParameterUpdaterHook</a> <code class="descname">__attribute__</code><a class="headerlink" href="#_CPPv2N6paddle13__attribute__E" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</div>
......
doc/source/utils/thread.html
浏览文件 @ 04be43da
......@@ -183,9 +183,13 @@ var _hmt = _hmt || [];
<dl class="class">
<dt id="_CPPv2N6paddle8SpinLockE">
<span id="paddle::SpinLock"></span><span class="target" id="paddleclasspaddle_1_1SpinLock"></span><em class="property">class </em><code class="descclassname">paddle::</code><code class="descname">SpinLock</code><a class="headerlink" href="#_CPPv2N6paddle8SpinLockE" title="Permalink to this definition"></a></dt>
<dd><p>A simple wrapper for spin lock. The lock() method of <a class="reference internal" href="#paddleclasspaddle_1_1SpinLock"><span class="std std-ref">SpinLock</span></a> is busy-waiting which means it will keep trying to lock until lock on successfully. The <a class="reference internal" href="#paddleclasspaddle_1_1SpinLock"><span class="std std-ref">SpinLock</span></a> disable copy. </p>
<div class="breathe-sectiondef container">
<dd><div class="breathe-sectiondef container">
<p class="breathe-sectiondef-title rubric">Public Functions</p>
<dl class="function">
<dt id="_CPPv2N6paddle8SpinLock12DISABLE_COPYE8SpinLock">
<span id="paddle::SpinLock::DISABLE_COPY__SpinLock"></span><span class="target" id="paddleclasspaddle_1_1SpinLock_1abb87cdb52fc8a8cc9576e2e220809085"></span><code class="descname">DISABLE_COPY</code><span class="sig-paren">(</span><a class="reference internal" href="#_CPPv2N6paddle8SpinLockE" title="paddle::SpinLock">SpinLock</a><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv2N6paddle8SpinLock12DISABLE_COPYE8SpinLock" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="function">
<dt id="_CPPv2N6paddle8SpinLock8SpinLockEv">
<span id="paddle::SpinLock::SpinLock"></span><span class="target" id="paddleclasspaddle_1_1SpinLock_1ae4b8664661115cae5d7a9f5c1e4cd4ed"></span><code class="descname">SpinLock</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv2N6paddle8SpinLock8SpinLockEv" title="Permalink to this definition"></a></dt>
......@@ -196,16 +200,6 @@ var _hmt = _hmt || [];
<span id="paddle::SpinLock::~SpinLock"></span><span class="target" id="paddleclasspaddle_1_1SpinLock_1a12800af3f93511270eceba996f2e1233"></span><code class="descname">~SpinLock</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv2N6paddle8SpinLockD0Ev" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="function">
<dt id="_CPPv2N6paddle8SpinLock8SpinLockERK8SpinLock">
<span id="paddle::SpinLock::SpinLock__SpinLockCR"></span><span class="target" id="paddleclasspaddle_1_1SpinLock_1a055efdc5fa3c87bf9c5efa19ca91fceb"></span><code class="descname">SpinLock</code><span class="sig-paren">(</span><em class="property">const</em> <a class="reference internal" href="#_CPPv2N6paddle8SpinLock8SpinLockEv" title="paddle::SpinLock::SpinLock">SpinLock</a>&amp;<span class="sig-paren">)</span><a class="headerlink" href="#_CPPv2N6paddle8SpinLock8SpinLockERK8SpinLock" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="function">
<dt id="_CPPv2N6paddle8SpinLockaSERK8SpinLock">
<span id="paddle::SpinLock::assign-operator__SpinLockCR"></span><span class="target" id="paddleclasspaddle_1_1SpinLock_1a65860c4525eafaf6c50f67bb7e6f1217"></span><a class="reference internal" href="#_CPPv2N6paddle8SpinLockE" title="paddle::SpinLock">SpinLock</a> &amp;<code class="descname">operator=</code><span class="sig-paren">(</span><em class="property">const</em> <a class="reference internal" href="#_CPPv2N6paddle8SpinLockE" title="paddle::SpinLock">SpinLock</a>&amp;<span class="sig-paren">)</span><a class="headerlink" href="#_CPPv2N6paddle8SpinLockaSERK8SpinLock" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="function">
<dt id="_CPPv2N6paddle8SpinLock4lockEv">
<span id="paddle::SpinLock::lock"></span><span class="target" id="paddleclasspaddle_1_1SpinLock_1ae5b78520a7808c9eee28674fa2dc1196"></span>void <code class="descname">lock</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv2N6paddle8SpinLock4lockEv" title="Permalink to this definition"></a></dt>
......@@ -216,19 +210,6 @@ var _hmt = _hmt || [];
<span id="paddle::SpinLock::unlock"></span><span class="target" id="paddleclasspaddle_1_1SpinLock_1a14f55be9684bed14427537571e7b6f7a"></span>void <code class="descname">unlock</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv2N6paddle8SpinLock6unlockEv" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</div>
<div class="breathe-sectiondef container">
<p class="breathe-sectiondef-title rubric">Protected Attributes</p>
<dl class="member">
<dt id="_CPPv2N6paddle8SpinLock5lock_E">
<span id="paddle::SpinLock::lock___pthread_spinlock_t"></span><span class="target" id="paddleclasspaddle_1_1SpinLock_1a262929588dcc81d1740094988782f57e"></span>pthread_spinlock_t <code class="descname">lock_</code><a class="headerlink" href="#_CPPv2N6paddle8SpinLock5lock_E" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="member">
<dt id="_CPPv2N6paddle8SpinLock8padding_E">
<span id="paddle::SpinLock::padding___cA"></span><span class="target" id="paddleclasspaddle_1_1SpinLock_1a8c0dd8c3d3959525ecb169db292382ec"></span>char <code class="descname">padding_</code>[64-sizeof(pthread_spinlock_t)]<a class="headerlink" href="#_CPPv2N6paddle8SpinLock8padding_E" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</div>
</dd></dl>
......@@ -238,9 +219,25 @@ var _hmt = _hmt || [];
<dl class="class">
<dt id="_CPPv2N6paddle9SemaphoreE">
<span id="paddle::Semaphore"></span><span class="target" id="paddleclasspaddle_1_1Semaphore"></span><em class="property">class </em><code class="descclassname">paddle::</code><code class="descname">Semaphore</code><a class="headerlink" href="#_CPPv2N6paddle9SemaphoreE" title="Permalink to this definition"></a></dt>
<dd><p>A simple wapper of semaphore which can only be shared in the same process. </p>
<div class="breathe-sectiondef container">
<dd><div class="breathe-sectiondef container">
<p class="breathe-sectiondef-title rubric">Public Functions</p>
<dl class="function">
<dt id="_CPPv2N6paddle9Semaphore9SemaphoreERK9Semaphore">
<span id="paddle::Semaphore::Semaphore__SemaphoreCR"></span><span class="target" id="paddleclasspaddle_1_1Semaphore_1a6d471a25979a5d8c85f3649576a01284"></span><code class="descname">Semaphore</code><span class="sig-paren">(</span><em class="property">const</em> <a class="reference internal" href="#_CPPv2N6paddle9Semaphore9SemaphoreERK9Semaphore" title="paddle::Semaphore::Semaphore">Semaphore</a> &amp;<em>other</em><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv2N6paddle9Semaphore9SemaphoreERK9Semaphore" title="Permalink to this definition"></a></dt>
<dd><p>Disable copy &amp; assign. </p>
</dd></dl>
<dl class="function">
<dt id="_CPPv2N6paddle9SemaphoreaSERRK9Semaphore">
<span id="paddle::Semaphore::assign-operator__SemaphoreCRR"></span><span class="target" id="paddleclasspaddle_1_1Semaphore_1a9072e5b688450318d9c55437b5593f46"></span><a class="reference internal" href="#_CPPv2N6paddle9SemaphoreE" title="paddle::Semaphore">Semaphore</a> &amp;<code class="descname">operator=</code><span class="sig-paren">(</span><em class="property">const</em> <a class="reference internal" href="#_CPPv2N6paddle9SemaphoreE" title="paddle::Semaphore">Semaphore</a> &amp;&amp;<em>other</em><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv2N6paddle9SemaphoreaSERRK9Semaphore" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="function">
<dt id="_CPPv2N6paddle9Semaphore9SemaphoreERR9Semaphore">
<span id="paddle::Semaphore::Semaphore__SemaphoreRR"></span><span class="target" id="paddleclasspaddle_1_1Semaphore_1a0a3cacfa683029887de7a865a6956b72"></span><code class="descname">Semaphore</code><span class="sig-paren">(</span><a class="reference internal" href="#_CPPv2N6paddle9Semaphore9SemaphoreERK9Semaphore" title="paddle::Semaphore::Semaphore">Semaphore</a> &amp;&amp;<em>other</em><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv2N6paddle9Semaphore9SemaphoreERR9Semaphore" title="Permalink to this definition"></a></dt>
<dd><p>Enable move. </p>
</dd></dl>
<dl class="function">
<dt id="_CPPv2N6paddle9Semaphore9SemaphoreEi">
<span id="paddle::Semaphore::Semaphore__i"></span><span class="target" id="paddleclasspaddle_1_1Semaphore_1a4884c28f1f853a0467b70e7f33547670"></span><code class="descname">Semaphore</code><span class="sig-paren">(</span>int <em>initValue</em> = 0<span class="sig-paren">)</span><a class="headerlink" href="#_CPPv2N6paddle9Semaphore9SemaphoreEi" title="Permalink to this definition"></a></dt>
......@@ -290,14 +287,6 @@ var _hmt = _hmt || [];
<dd><p>increment the semaphore. If the semaphore&#8217;s value greater than 0, wake up a thread blocked in <a class="reference internal" href="#paddleclasspaddle_1_1Semaphore_1a3d7d3699ad8f49ad8bbad260a174c28d"><span class="std std-ref">wait()</span></a>. </p>
</dd></dl>
</div>
<div class="breathe-sectiondef container">
<p class="breathe-sectiondef-title rubric">Protected Attributes</p>
<dl class="member">
<dt id="_CPPv2N6paddle9Semaphore4sem_E">
<span id="paddle::Semaphore::sem___sem_t"></span><span class="target" id="paddleclasspaddle_1_1Semaphore_1ab66cee48c4a02d13b4ef56cf2538ee42"></span>sem_t <code class="descname">sem_</code><a class="headerlink" href="#_CPPv2N6paddle9Semaphore4sem_E" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</div>
</dd></dl>
......@@ -307,9 +296,13 @@ var _hmt = _hmt || [];
<dl class="class">
<dt id="_CPPv2N6paddle13ThreadBarrierE">
<span id="paddle::ThreadBarrier"></span><span class="target" id="paddleclasspaddle_1_1ThreadBarrier"></span><em class="property">class </em><code class="descclassname">paddle::</code><code class="descname">ThreadBarrier</code><a class="headerlink" href="#_CPPv2N6paddle13ThreadBarrierE" title="Permalink to this definition"></a></dt>
<dd><p>A simple wrapper of thread barrier. The <a class="reference internal" href="#paddleclasspaddle_1_1ThreadBarrier"><span class="std std-ref">ThreadBarrier</span></a> disable copy. </p>
<div class="breathe-sectiondef container">
<dd><div class="breathe-sectiondef container">
<p class="breathe-sectiondef-title rubric">Public Functions</p>
<dl class="function">
<dt id="_CPPv2N6paddle13ThreadBarrier12DISABLE_COPYE13ThreadBarrier">
<span id="paddle::ThreadBarrier::DISABLE_COPY__ThreadBarrier"></span><span class="target" id="paddleclasspaddle_1_1ThreadBarrier_1ace6a9d5cf27b395ce3c478b3cbfd1f17"></span><code class="descname">DISABLE_COPY</code><span class="sig-paren">(</span><a class="reference internal" href="#_CPPv2N6paddle13ThreadBarrierE" title="paddle::ThreadBarrier">ThreadBarrier</a><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv2N6paddle13ThreadBarrier12DISABLE_COPYE13ThreadBarrier" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="function">
<dt id="_CPPv2N6paddle13ThreadBarrier13ThreadBarrierEi">
<span id="paddle::ThreadBarrier::ThreadBarrier__i"></span><span class="target" id="paddleclasspaddle_1_1ThreadBarrier_1a2b4ee1af9857ce417455d6a343a1a117"></span><code class="descname">ThreadBarrier</code><span class="sig-paren">(</span>int <em>count</em><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv2N6paddle13ThreadBarrier13ThreadBarrierEi" title="Permalink to this definition"></a></dt>
......@@ -321,30 +314,12 @@ var _hmt = _hmt || [];
<span id="paddle::ThreadBarrier::~ThreadBarrier"></span><span class="target" id="paddleclasspaddle_1_1ThreadBarrier_1a0922960555e03da24426cf8fdd0b15dd"></span><code class="descname">~ThreadBarrier</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv2N6paddle13ThreadBarrierD0Ev" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="function">
<dt id="_CPPv2N6paddle13ThreadBarrier13ThreadBarrierERK13ThreadBarrier">
<span id="paddle::ThreadBarrier::ThreadBarrier__ThreadBarrierCR"></span><span class="target" id="paddleclasspaddle_1_1ThreadBarrier_1a42b7d18074508549f5e53156d8791fd8"></span><code class="descname">ThreadBarrier</code><span class="sig-paren">(</span><em class="property">const</em> <a class="reference internal" href="#_CPPv2N6paddle13ThreadBarrier13ThreadBarrierEi" title="paddle::ThreadBarrier::ThreadBarrier">ThreadBarrier</a>&amp;<span class="sig-paren">)</span><a class="headerlink" href="#_CPPv2N6paddle13ThreadBarrier13ThreadBarrierERK13ThreadBarrier" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="function">
<dt id="_CPPv2N6paddle13ThreadBarrieraSERK13ThreadBarrier">
<span id="paddle::ThreadBarrier::assign-operator__ThreadBarrierCR"></span><span class="target" id="paddleclasspaddle_1_1ThreadBarrier_1a84b0ef2c24d0ee7770fa453d385f5bdf"></span><a class="reference internal" href="#_CPPv2N6paddle13ThreadBarrierE" title="paddle::ThreadBarrier">ThreadBarrier</a> &amp;<code class="descname">operator=</code><span class="sig-paren">(</span><em class="property">const</em> <a class="reference internal" href="#_CPPv2N6paddle13ThreadBarrierE" title="paddle::ThreadBarrier">ThreadBarrier</a>&amp;<span class="sig-paren">)</span><a class="headerlink" href="#_CPPv2N6paddle13ThreadBarrieraSERK13ThreadBarrier" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="function">
<dt id="_CPPv2N6paddle13ThreadBarrier4waitEv">
<span id="paddle::ThreadBarrier::wait"></span><span class="target" id="paddleclasspaddle_1_1ThreadBarrier_1af63f9491d2644a258350e12120fedf89"></span>void <code class="descname">wait</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv2N6paddle13ThreadBarrier4waitEv" title="Permalink to this definition"></a></dt>
<dd><p>If there were count - 1 threads waiting before, then wake up all the count - 1 threads and continue run together. Else block the thread until waked by other thread . </p>
</dd></dl>
</div>
<div class="breathe-sectiondef container">
<p class="breathe-sectiondef-title rubric">Protected Attributes</p>
<dl class="member">
<dt id="_CPPv2N6paddle13ThreadBarrier8barrier_E">
<span id="paddle::ThreadBarrier::barrier___pthread_barrier_t"></span><span class="target" id="paddleclasspaddle_1_1ThreadBarrier_1ae29548e35c5a20906647e8dcc48f9f39"></span>pthread_barrier_t <code class="descname">barrier_</code><a class="headerlink" href="#_CPPv2N6paddle13ThreadBarrier8barrier_E" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</div>
</dd></dl>
......
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