Merge branch 'develop' of https://github.com/PaddlePaddle/Paddle into...

Merge branch 'develop' of https://github.com/PaddlePaddle/Paddle into add-program-cache-for-executor

doc/CMakeLists.txt

-if(NOT DEFINED SPHINX_THEME)
-    set(SPHINX_THEME default)
-endif()
-
-if(NOT DEFINED SPHINX_THEME_DIR)
-    set(SPHINX_THEME_DIR)
-endif()
-
-# configured documentation tools and intermediate build results
-set(BINARY_BUILD_DIR_EN "${CMAKE_CURRENT_BINARY_DIR}/en/_build")
-
-# Sphinx cache with pickled ReST documents
-set(SPHINX_CACHE_DIR_EN "${CMAKE_CURRENT_BINARY_DIR}/en/_doctrees")
-
-# HTML output director
-set(SPHINX_HTML_DIR_EN "${CMAKE_CURRENT_BINARY_DIR}/en/html")
-
-configure_file(
-    "${CMAKE_CURRENT_SOURCE_DIR}/templates/conf.py.en.in"
-    "${BINARY_BUILD_DIR_EN}/conf.py"
-    @ONLY)
-
-sphinx_add_target(paddle_docs
-                  html
-                  ${BINARY_BUILD_DIR_EN}
-                  ${SPHINX_CACHE_DIR_EN}
-                  ${CMAKE_CURRENT_SOURCE_DIR}
-                  ${SPHINX_HTML_DIR_EN})
-
-# configured documentation tools and intermediate build results
-set(BINARY_BUILD_DIR_CN "${CMAKE_CURRENT_BINARY_DIR}/cn/_build")
-
-# Sphinx cache with pickled ReST documents
-set(SPHINX_CACHE_DIR_CN "${CMAKE_CURRENT_BINARY_DIR}/cn/_doctrees")
-
-# HTML output directory
-set(SPHINX_HTML_DIR_CN "${CMAKE_CURRENT_BINARY_DIR}/cn/html")
-
-configure_file(
-    "${CMAKE_CURRENT_SOURCE_DIR}/templates/conf.py.cn.in"
-    "${BINARY_BUILD_DIR_CN}/conf.py"
-    @ONLY)
-
-sphinx_add_target(paddle_docs_cn
-                  html
-                  ${BINARY_BUILD_DIR_CN}
-                  ${SPHINX_CACHE_DIR_CN}
-                  ${CMAKE_CURRENT_SOURCE_DIR}
-                  ${SPHINX_HTML_DIR_CN})
-
 add_subdirectory(api)
+add_subdirectory(v2)

doc/dev/contribute_to_paddle_en.md

-../../CONTRIBUTING.md
\ No newline at end of file

doc/templates/conf.py.cn.in

@@ -21,10 +21,11 @@ import paddle.v2
 
 MarkdownParser = parser.CommonMarkParser
 AutoStructify = transform.AutoStructify
+
 # If extensions (or modules to document with autodoc) are in another directory,
 # add these directories to sys.path here. If the directory is relative to the
 # documentation root, use os.path.abspath to make it absolute, like shown here.
-templates_path = ["@PADDLE_SOURCE_DIR@/doc_theme/templates"]
+templates_path = ["@PADDLE_SOURCE_DIR@/doc/templates"]
 
 # -- General configuration ------------------------------------------------
 
@@ -120,7 +121,7 @@ html_theme = 'sphinx_rtd_theme'
 # Add any paths that contain custom static files (such as style sheets) here,
 # relative to this directory. They are copied after the builtin static files,
 # so a file named "default.css" will overwrite the builtin "default.css".
-html_static_path = ['@PADDLE_SOURCE_DIR@/doc_theme/static']
+#html_static_path = []
 
 # Output file base name for HTML help builder.
 htmlhelp_basename = project + 'doc'

doc/templates/conf.py.en.in

@@ -22,10 +22,11 @@ import paddle.v2
 
 MarkdownParser = parser.CommonMarkParser
 AutoStructify = transform.AutoStructify
+
 # If extensions (or modules to document with autodoc) are in another directory,
 # add these directories to sys.path here. If the directory is relative to the
 # documentation root, use os.path.abspath to make it absolute, like shown here.
-templates_path = ["@PADDLE_SOURCE_DIR@/doc_theme/templates"]
+templates_path = ["@PADDLE_SOURCE_DIR@/doc/templates"]
 
 # -- General configuration ------------------------------------------------
 
@@ -120,7 +121,7 @@ html_theme = 'sphinx_rtd_theme'
 # Add any paths that contain custom static files (such as style sheets) here,
 # relative to this directory. They are copied after the builtin static files,
 # so a file named "default.css" will overwrite the builtin "default.css".
-html_static_path = ['@PADDLE_SOURCE_DIR@/doc_theme/static']
+#html_static_path = []
 
 # Output file base name for HTML help builder.
 htmlhelp_basename = project + 'doc'

doc/templates/layout.html

@@ -2,6 +2,13 @@
 {# Import the theme's layout. #}
 {% extends "!layout.html" %}
 
+{# SIDE NAV, TOGGLES ON MOBILE #}		
+{% block menu %}
+<nav class="doc-menu-vertical" role="navigation">
+{% set toctree = toctree(maxdepth=-1, collapse=False,titles_only=True, includehidden=True) %}
+{{ toctree }}
+</nav>
+{% endblock %}
 
 {%- block extrahead %} 
 <script>

doc/v2/CMakeLists.txt

+if(NOT DEFINED SPHINX_THEME)
+    set(SPHINX_THEME default)
+endif()
+
+if(NOT DEFINED SPHINX_THEME_DIR)
+    set(SPHINX_THEME_DIR)
+endif()
+
+# configured documentation tools and intermediate build results
+set(BINARY_BUILD_DIR_EN "${CMAKE_CURRENT_BINARY_DIR}/en/_build")
+
+# Sphinx cache with pickled ReST documents
+set(SPHINX_CACHE_DIR_EN "${CMAKE_CURRENT_BINARY_DIR}/en/_doctrees")
+
+# HTML output director
+set(SPHINX_HTML_DIR_EN "${CMAKE_CURRENT_BINARY_DIR}/en/html")
+
+configure_file(
+    "${CMAKE_CURRENT_SOURCE_DIR}/../templates/conf.py.en.in"
+    "${BINARY_BUILD_DIR_EN}/conf.py"
+    @ONLY)
+
+sphinx_add_target(paddle_docs
+                  html
+                  ${BINARY_BUILD_DIR_EN}
+                  ${SPHINX_CACHE_DIR_EN}
+                  ${CMAKE_CURRENT_SOURCE_DIR}
+                  ${SPHINX_HTML_DIR_EN})
+
+# configured documentation tools and intermediate build results
+set(BINARY_BUILD_DIR_CN "${CMAKE_CURRENT_BINARY_DIR}/cn/_build")
+
+# Sphinx cache with pickled ReST documents
+set(SPHINX_CACHE_DIR_CN "${CMAKE_CURRENT_BINARY_DIR}/cn/_doctrees")
+
+# HTML output directory
+set(SPHINX_HTML_DIR_CN "${CMAKE_CURRENT_BINARY_DIR}/cn/html")
+
+configure_file(
+    "${CMAKE_CURRENT_SOURCE_DIR}/../templates/conf.py.cn.in"
+    "${BINARY_BUILD_DIR_CN}/conf.py"
+    @ONLY)
+
+sphinx_add_target(paddle_docs_cn
+                  html
+                  ${BINARY_BUILD_DIR_CN}
+                  ${SPHINX_CACHE_DIR_CN}
+                  ${CMAKE_CURRENT_SOURCE_DIR}
+                  ${SPHINX_HTML_DIR_CN})

doc/v2/dev/contribute_to_paddle_en.md

+../../../CONTRIBUTING.md
\ No newline at end of file

doc/dev/index_cn.rst → doc/v2/dev/index_cn.rst

@@ -6,3 +6,4 @@
 
   contribute_to_paddle_cn.md
   write_docs_cn.rst
+  new_layer_cn.rst

doc/dev/index_en.rst → doc/v2/dev/index_en.rst

@@ -6,3 +6,4 @@ Development
 
   contribute_to_paddle_en.md
   write_docs_en.rst
+  new_layer_en.rst

doc/dev/new_layer_cn.rst → doc/v2/dev/new_layer_cn.rst

-================
-实现新的网络层
-================
+==================
+如何实现新的网络层
+==================
 
 这份教程展示了如何在PaddlePaddle中实现一个自定义的网络层。在这里我们使用全连接层作为例子来展示实现新网络层所需要的四个步骤。
 

doc/howto/index_en.rst → doc/v2/howto/index_en.rst

@@ -6,5 +6,6 @@ HOW TO
 
   cmd_parameter/index_en.rst
   cluster/index_en.rst
+  capi/index_en.rst
   rnn/index_en.rst
   optimization/gpu_profiling_en.rst

doc/howto/optimization/gpu_profiling_cn.rst → doc/v2/howto/optimization/gpu_profiling_cn.rst

@@ -55,7 +55,7 @@ above profilers.
 
 :code:`paddle/math/test` 目录中的 :code:`test_GpuProfiler` 就是用于展示上述分析工具的用法。
 
-.. literalinclude:: ../../../paddle/math/tests/test_GpuProfiler.cpp
+.. literalinclude:: ../../../../paddle/math/tests/test_GpuProfiler.cpp
    :language: c++
    :lines: 137-151
    :linenos:
@@ -83,7 +83,7 @@ program crashes when CPU version of PaddlePaddle invokes them.
 
 1. 加入 :code:`REGISTER_TIMER_INFO` 和 :code:`printAllStatus` 函数（如高亮部分）。
 
-    .. literalinclude:: ../../../paddle/math/tests/test_GpuProfiler.cpp
+    .. literalinclude:: ../../../../paddle/math/tests/test_GpuProfiler.cpp
         :language: c++
         :lines: 137-151
         :emphasize-lines: 8-12,14
@@ -130,7 +130,7 @@ nvprof 工具
 
 1. 将 :code:`REGISTER_GPU_PROFILER` 函数加到代码中（参考强调部分）。
 
-    .. literalinclude:: ../../../paddle/math/tests/test_GpuProfiler.cpp
+    .. literalinclude:: ../../../../paddle/math/tests/test_GpuProfiler.cpp
         :language: c++
         :lines: 137-151
         :emphasize-lines: 6-7

doc/howto/optimization/gpu_profiling_en.rst → doc/v2/howto/optimization/gpu_profiling_en.rst

@@ -54,7 +54,7 @@ In this tutorial, we will focus on nvprof and nvvp.
 :code:`test_GpuProfiler` from :code:`paddle/math/tests` directory will be used to evaluate
 above profilers.
 
-.. literalinclude:: ../../../paddle/math/tests/test_GpuProfiler.cpp
+.. literalinclude:: ../../../../paddle/math/tests/test_GpuProfiler.cpp
    :language: c++
    :lines: 137-151
    :linenos:
@@ -80,7 +80,7 @@ As a simple example, consider the following:
 
 1. Add :code:`REGISTER_TIMER_INFO` and :code:`printAllStatus` functions (see the emphasize-lines).
 
-    .. literalinclude:: ../../../paddle/math/tests/test_GpuProfiler.cpp
+    .. literalinclude:: ../../../../paddle/math/tests/test_GpuProfiler.cpp
         :language: c++
         :lines: 137-151
         :emphasize-lines: 8-12,14
@@ -127,7 +127,7 @@ To use this command line profiler **nvprof**, you can simply issue the following
 
 1. Add :code:`REGISTER_GPU_PROFILER` function (see the emphasize-lines).
 
-    .. literalinclude:: ../../../paddle/math/tests/test_GpuProfiler.cpp
+    .. literalinclude:: ../../../../paddle/math/tests/test_GpuProfiler.cpp
         :language: c++
         :lines: 137-151
         :emphasize-lines: 6-7

doc_theme/static/css/override.css

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-    font-family:"Roboto","Lato","proxima-nova","Helvetica Neue",Arial,sans-serif;
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-    padding-top: 80px;
-    background-image: none !important;
-    font-family: Roboto;
-}
-a, a:focus, a:hover, a:visited {
-    color: #597cf1;
-}
-.site-header {
-    position: fixed;
-    top: 0;
-    width: 100%;
-    left: 0;
-    z-index: 99;
-    background: #333;
-    height: 80px;
-    display: -webkit-flex;
-    display: -ms-flex;
-    display: -o-flex;
-    display: flex;
-    flex-flow: row nowrap;
-    justify-content: space-between;
-    box-shadow: #ccc 0 3px 3px;
-}
-.site-header > div {
-    height: 80px;
-    display: inline-block;
-    background-color: #2f323a;
-    padding: 0 30px;
-}
-.site-header .site-logo {
-    line-height: 80px;
-    width: 290px;
-    flex: 0 1 290px;
-}
-.site-header .site-logo > a {
-    display: inline-block;
-    width: 230px;
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-.site-header .site-nav-links {
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-    line-height: 30px; 
-    font-size: 12px;
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-.doc-content-wrap {
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-.doc-content-wrap > div[role='navigation'] {
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-    background-repeat: repeat no-repeat;
-    background-position: center 50px;
-}
-.wy-breadcrumbs > li {
-    color: #ccc;
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-.wy-breadcrumbs > li a {
-    color: #ff9711;
-    padding: 0;
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-.wy-breadcrumbs > li:first-child a {
-    color: #597cf1;
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-.wy-nav-content{
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-    overflow: auto;
-    position: relative;
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-.wy-nav-content h1 {
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-.wy-nav-content h2 {
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-    margin-bottom: 30px;
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-.wy-nav-content h3 {
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-.wy-nav-content h4 {
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-.wy-nav-content p + h1,
-.wy-nav-content p + h2,
-.wy-nav-content p + h3,
-.wy-nav-content p + h4 {
-    margin-top: 20px;
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-.wy-nav-content p{
-    color: #2f323a;
-    margin-bottom: 20px;
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-#search-results h2 {
-    font-size: 24px;
-    margin: 20px 0 10px 0;
-}
-#search-results p {
-    color: #a7adbd;
-}
-#search-results ul.search > li {
-    border-bottom: none;
-}
-#search-results ul.search > li > a {
-    color: #597cf1;
-}
-.rst-content .highlighted{
-    background-color: transparent;
-    color: #ff9711;
-    padding: 0;
-}

doc_theme/static/js/paddle_doc_init.js

-$(document).ready(function(){
-    $('.local-toc').on('click' ,'a.reference.internal', function (){
-        $('.local-toc li.active').removeClass('active');
-        $(this).parent('li').addClass('active');
-    });
-
-    if ($('.local-toc a:visible').length) {
-        $('.local-toc > ul').addClass('nav nav-stacked');
-        $('#doc-content').scrollspy({
-            target: '.local-toc'
-        });
-		$('.local-toc').perfectScrollbar();
-    } else {
-		$('.doc-content-wrap').css('margin-left', '-=50px');
-        $('.local-toc').remove();
-    }
-
-    if (!$('.doc-menu-vertical > ul > li.current > ul').length) {
-        $('.doc-content-wrap').css('margin-left', '-=240px');
-        $('.doc-menu-vertical').remove();
-        $('.local-toc').css('left', '0');
-    }
-
-	$('.doc-menu-vertical .toctree-l2').each(function (i, e){
-        $(e).toggleClass('has-child', !!$(e).find('ul').length);
-    });
-
-    $('.doc-menu-vertical').find('li.current').last().addClass('active');
-
-    $('.doc-menu-vertical').perfectScrollbar();
-});

doc_theme/templates/breadcrumbs.html

-{# Support for Sphinx 1.3+ page_source_suffix, but don't break old builds. #}
-
-{% if page_source_suffix %} 
-{% set suffix = page_source_suffix %}
-{% else %}
-{% set suffix = source_suffix %}
-{% endif %}
-
-{% if meta is defined and 'github_url' in meta %}
-{% set display_github = True %}
-{% endif %}
-
-{% if meta is defined and 'bitbucket_url' in meta %}
-{% set display_bitbucket = True %}
-{% endif %}
-
-<div role="navigation" aria-label="breadcrumbs navigation">
-  <ul class="wy-breadcrumbs">
-      {% for doc in parents %}
-        <li><a href="{{ doc.link|e }}">{{ doc.title }}</a> > </li>
-      {% endfor %}
-    <li>{{ title }}</li>
-  </ul>
-</div>

doc_theme/templates/layout.html

-{# TEMPLATE VAR SETTINGS #}
-{%- set url_root = pathto('', 1) %}
-{%- if url_root == '#' %}{% set url_root = '' %}{% endif %}
-{%- if not embedded and docstitle %}
-  {%- set titlesuffix = " — "|safe + docstitle|e %}
-{%- else %}
-  {%- set titlesuffix = "" %}
-{%- endif %}
-
-<!DOCTYPE html>
-<!--[if IE 8]><html class="no-js lt-ie9" lang="en" > <![endif]-->
-<!--[if gt IE 8]><!--> <html class="no-js" lang="en" > <!--<![endif]-->
-<head>
-  <meta charset="utf-8">
-  {{ metatags }}
-  <meta name="viewport" content="width=device-width, initial-scale=1.0">
-  {% block htmltitle %}
-  <title>{{ title|striptags|e }}{{ titlesuffix }}</title>
-  {% endblock %}
-
-  {# FAVICON #}
-  {% if favicon %}
-    <link rel="shortcut icon" href="{{ pathto('_static/' + favicon, 1) }}"/>
-  {% endif %}
-
-  {# CSS #}
-
-  {# OPENSEARCH #}
-  {% if not embedded %}
-    {% if use_opensearch %}
-      <link rel="search" type="application/opensearchdescription+xml" title="{% trans docstitle=docstitle|e %}Search within {{ docstitle }}{% endtrans %}" href="{{ pathto('_static/opensearch.xml', 1) }}"/>
-    {% endif %}
-
-  {% endif %}
-
-  {# RTD hosts this file, so just load on non RTD builds #}
-  {% if not READTHEDOCS %}
-    <link rel="stylesheet" href="{{ pathto('_static/' + style, 1) }}" type="text/css" />
-  {% endif %}
-
-  {% for cssfile in css_files %}
-    <link rel="stylesheet" href="{{ pathto(cssfile, 1) }}" type="text/css" />
-  {% endfor %}
-  {% for cssfile in extra_css_files %}
-    <link rel="stylesheet" href="{{ pathto(cssfile, 1) }}" type="text/css" />
-  {% endfor %}
-
-  {%- block linktags %}
-    {%- if hasdoc('about') %}
-        <link rel="author" title="{{ _('About these documents') }}"
-              href="{{ pathto('about') }}"/>
-    {%- endif %}
-    {%- if hasdoc('genindex') %}
-        <link rel="index" title="{{ _('Index') }}"
-              href="{{ pathto('genindex') }}"/>
-    {%- endif %}
-    {%- if hasdoc('search') %}
-        <link rel="search" title="{{ _('Search') }}" href="{{ pathto('search') }}"/>
-    {%- endif %}
-    {%- if hasdoc('copyright') %}
-        <link rel="copyright" title="{{ _('Copyright') }}" href="{{ pathto('copyright') }}"/>
-    {%- endif %}
-    <link rel="top" title="{{ docstitle|e }}" href="{{ pathto('index') }}"/>
-    {%- if parents %}
-        <link rel="up" title="{{ parents[-1].title|striptags|e }}" href="{{ parents[-1].link|e }}"/>
-    {%- endif %}
-    {%- if next %}
-        <link rel="next" title="{{ next.title|striptags|e }}" href="{{ next.link|e }}"/>
-    {%- endif %}
-    {%- if prev %}
-        <link rel="prev" title="{{ prev.title|striptags|e }}" href="{{ prev.link|e }}"/>
-    {%- endif %}
-  {%- endblock %}
-  {%- block extrahead %} 
-
-  <link rel="stylesheet" href="https://cdn.jsdelivr.net/perfect-scrollbar/0.6.14/css/perfect-scrollbar.min.css" type="text/css" />
-  <link rel="stylesheet" href="{{pathto('_static/css/override.css', 1)}}" type="text/css" />
-  <script>
-  var _hmt = _hmt || [];
-  (function() {
-    var hm = document.createElement("script");
-    hm.src = "//hm.baidu.com/hm.js?b9a314ab40d04d805655aab1deee08ba";
-    var s = document.getElementsByTagName("script")[0]; 
-    s.parentNode.insertBefore(hm, s);
-  })();
-  </script>
-
-  {% endblock %}
-
-  {# Keep modernizr in head - http://modernizr.com/docs/#installing #}
-  <script src="{{ pathto('_static/js/modernizr.min.js', 1) }}"></script>
-
-</head>
-
-<body class="wy-body-for-nav" role="document">
-
-  {% block extrabody %}
-  <header class="site-header">
-    <div class="site-logo">
-      <a href="/"><img src="{{pathto('_static/images/PP_w.png', 1)}}"></a>
-    </div>
-    <div class="site-nav-links">
-      <div class="site-menu">
-        <a class="fork-on-github" href="https://github.com/PaddlePaddle/Paddle" target="_blank"><i class="fa fa-github"></i>Fork me on Github</a>
-        <div class="language-switcher dropdown">
-          <a type="button" data-toggle="dropdown">
-            <span>English</span>
-            <i class="fa fa-angle-up"></i>
-            <i class="fa fa-angle-down"></i>
-          </a>
-          <ul class="dropdown-menu">
-            <li><a href="/doc_cn">中文</a></li>
-            <li><a href="/doc">English</a></li>
-          </ul>
-        </div>
-        <ul class="site-page-links">
-          <li><a href="/">Home</a></li>
-        </ul>
-      </div>
-      <div class="doc-module">
-        {%set modules = toctree(maxdepth=0, collapse=False, titles_only=True)%}
-        {{modules}}
-        {% include "searchbox.html" %}        
-      </div>
-    </div>
-  </header>
-  {% endblock %}
-  <div class="main-content-wrap">
-
-    {# SIDE NAV, TOGGLES ON MOBILE #}
-    <nav class="doc-menu-vertical" role="navigation">
-        {% block menu %}
-          {% set toctree = toctree(maxdepth=-1, collapse=False,titles_only=True, includehidden=True) %}
-          {{ toctree }}
-        {% endblock %}
-    </nav>
-    {% if False %}
-    <nav class="local-toc">{{ toc }}</nav>
-    {% endif %}
-    <section class="doc-content-wrap">
-
-      {% include "breadcrumbs.html" %}
-      {# PAGE CONTENT #}
-      <div class="wy-nav-content" id="doc-content">
-        <div class="rst-content">
-          <div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article">
-           <div itemprop="articleBody">
-            {% block body %}{% endblock %}
-           </div>
-          </div>
-          {% include "footer.html" %}
-        </div>
-      </div>
-
-    </section>
-
-  </div>
-  {% include "versions.html" %}
-
-  {% if not embedded %}
-
-    <script type="text/javascript">
-        var DOCUMENTATION_OPTIONS = {
-            URL_ROOT:'{{ url_root }}',
-            VERSION:'{{ release|e }}',
-            COLLAPSE_INDEX:false,
-            FILE_SUFFIX:'{{ '' if no_search_suffix else file_suffix }}',
-            HAS_SOURCE:  {{ has_source|lower }},
-            SOURCELINK_SUFFIX: ".txt",
-        };
-    </script>
-    {%- for scriptfile in script_files %}
-      <script type="text/javascript" src="{{ pathto(scriptfile, 1) }}"></script>
-    {%- endfor %}
-       
-  {% endif %}
-
-  {# RTD hosts this file, so just load on non RTD builds #}
-  {% if not READTHEDOCS %}
-    <script type="text/javascript" src="{{ pathto('_static/js/theme.js', 1) }}"></script>
-  {% endif %}
-  
-  <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/js/bootstrap.min.js" integrity="sha384-Tc5IQib027qvyjSMfHjOMaLkfuWVxZxUPnCJA7l2mCWNIpG9mGCD8wGNIcPD7Txa" crossorigin="anonymous"></script>
-  <script src="https://cdn.jsdelivr.net/perfect-scrollbar/0.6.14/js/perfect-scrollbar.jquery.min.js"></script>
-  <script src="{{ pathto('_static/js/paddle_doc_init.js', 1) }}"></script>
-  {%- block footer %} {% endblock %}
-
-</body>
-</html>

doc_theme/templates/search.html

-{#
-    basic/search.html
-    ~~~~~~~~~~~~~~~~~
-
-    Template for the search page.
-
-    :copyright: Copyright 2007-2013 by the Sphinx team, see AUTHORS.
-    :license: BSD, see LICENSE for details.
-#}
-{%- extends "layout.html" %}
-{% set title = _('Search') %}
-{% set script_files = script_files + ['_static/searchtools.js'] %}
-{% block footer %}
-  <script type="text/javascript">
-    jQuery(function() { Search.loadIndex("{{ pathto('searchindex.js', 1) }}"); });
-    jQuery('.doc-content-wrap > div[role="navigation"]').remove();
-    jQuery('.doc-content-wrap').css('padding-top', 0);
-  </script>
-  {# this is used when loading the search index using $.ajax fails,
-     such as on Chrome for documents on localhost #}
-  <script type="text/javascript" id="searchindexloader"></script>
-  {{ super() }}
-{% endblock %}
-{% block body %}
-  <noscript>
-  <div id="fallback" class="admonition warning">
-    <p class="last">
-      {% trans %}Please activate JavaScript to enable the search
-      functionality.{% endtrans %}
-    </p>
-  </div>
-  </noscript>
-
-  {% if search_performed %}
-    <h2>{{ _('Search Results') }}</h2>
-    {% if not search_results %}
-      <p>{{ _('Your search did not match any documents. Please make sure that all words are spelled correctly and that you\'ve selected enough categories.') }}</p>
-    {% endif %}
-  {% endif %}
-  <div id="search-results">
-  {% if search_results %}
-    <ul>
-    {% for href, caption, context in search_results %}
-      <li>
-        <a href="{{ pathto(item.href) }}">{{ caption }}</a>
-        <p class="context">{{ context|e }}</p>
-      </li>
-    {% endfor %}
-    </ul>
-  {% endif %}
-  </div>
-{% endblock %}

paddle/fluid/operators/detection_map_op.cc

@@ -47,11 +47,10 @@ class DetectionMAPOp : public framework::OperatorWithKernel {
     PADDLE_ENFORCE_EQ(det_dims[1], 6UL,
                       "The shape is of Input(DetectRes) [N, 6].");
     auto label_dims = ctx->GetInputDim("Label");
-    PADDLE_ENFORCE_EQ(label_dims.size(), 2UL,
+    PADDLE_ENFORCE_EQ(label_dims.size(), 2,
                       "The rank of Input(Label) must be 2, "
                       "the shape is [N, 6].");
-    PADDLE_ENFORCE_EQ(label_dims[1], 6UL,
-                      "The shape is of Input(Label) [N, 6].");
+    PADDLE_ENFORCE_EQ(label_dims[1], 6, "The shape is of Input(Label) [N, 6].");
 
     if (ctx->HasInput("PosCount")) {
       PADDLE_ENFORCE(ctx->HasInput("TruePos"),
@@ -96,6 +95,10 @@ class DetectionMAPOpMaker : public framework::OpProtoAndCheckerMaker {
              "instance, the offsets in first dimension are called LoD, "
              "the number of offset is N + 1, if LoD[i + 1] - LoD[i] == 0, "
              "means there is no ground-truth data.");
+    AddInput("HasState",
+             "(Tensor<int>) A tensor with shape [1], 0 means ignoring input "
+             "states, which including PosCount, TruePos, FalsePos.")
+        .AsDispensable();
     AddInput("PosCount",
              "(Tensor) A tensor with shape [Ncls, 1], store the "
              "input positive example count of each class, Ncls is the count of "
@@ -145,7 +148,7 @@ class DetectionMAPOpMaker : public framework::OpProtoAndCheckerMaker {
         "(float) "
         "The lower bound jaccard overlap threshold of detection output and "
         "ground-truth data.")
-        .SetDefault(.3f);
+        .SetDefault(.5f);
     AddAttr<bool>("evaluate_difficult",
                   "(bool, default true) "
                   "Switch to control whether the difficult data is evaluated.")

paddle/fluid/operators/detection_map_op.h

@@ -87,7 +87,13 @@ class DetectionMAPOpKernel : public framework::OpKernel<T> {
     std::map<int, std::vector<std::pair<T, int>>> true_pos;
     std::map<int, std::vector<std::pair<T, int>>> false_pos;
 
-    if (in_pos_count != nullptr) {
+    auto* has_state = ctx.Input<framework::LoDTensor>("HasState");
+    int state = 0;
+    if (has_state) {
+      state = has_state->data<int>()[0];
+    }
+
+    if (in_pos_count != nullptr && state) {
       GetInputPos(*in_pos_count, *in_true_pos, *in_false_pos, label_pos_count,
                   true_pos, false_pos);
     }
@@ -202,6 +208,7 @@ class DetectionMAPOpKernel : public framework::OpKernel<T> {
 
     int* pos_count_data = output_pos_count.mutable_data<int>(
         framework::make_ddim({max_class_id + 1, 1}), ctx.GetPlace());
+
     T* true_pos_data = output_true_pos.mutable_data<T>(
         framework::make_ddim({true_pos_count, 2}), ctx.GetPlace());
     T* false_pos_data = output_false_pos.mutable_data<T>(

paddle/scripts/travis/build_doc.sh

@@ -12,8 +12,8 @@ make -j `nproc` copy_paddle_pybind
 make -j `nproc` paddle_docs paddle_docs_cn paddle_api_docs
 
 # check websites for broken links
-linkchecker doc/en/html/index.html
-linkchecker doc/cn/html/index.html
+linkchecker doc/v2/en/html/index.html
+linkchecker doc/v2/cn/html/index.html
 linkchecker doc/api/en/html/index.html
 
 # Parse Github URL
@@ -55,8 +55,8 @@ function deploy_docs() {
   set +e
   rm -rf ${DIR}/doc ${DIR}/doc_cn ${DIR}/api_doc
   set -e
-  cp -r ../doc/cn/html ${DIR}/doc_cn
-  cp -r ../doc/en/html ${DIR}/doc
+  cp -r ../doc/v2/cn/html ${DIR}/doc_cn
+  cp -r ../doc/v2/en/html ${DIR}/doc
   cp -r ../doc/api/en/html ${DIR}/api_doc
   git add .
 }

python/paddle/fluid/__init__.py

@@ -26,7 +26,6 @@ import initializer
 import layers
 import nets
 import optimizer
-import learning_rate_decay
 import backward
 import regularizer
 from param_attr import ParamAttr, WeightNormParamAttr

python/paddle/fluid/evaluator.py

@@ -18,11 +18,13 @@ import layers
 from framework import Program, Variable, program_guard
 import unique_name
 from layer_helper import LayerHelper
+from initializer import Constant
 
 __all__ = [
     'Accuracy',
     'ChunkEvaluator',
     'EditDistance',
+    'DetectionMAP',
 ]
 
 
@@ -285,3 +287,120 @@ class EditDistance(Evaluator):
             result = executor.run(
                 eval_program, fetch_list=[avg_distance, avg_instance_error])
         return np.array(result[0]), np.array(result[1])
+
+
+class DetectionMAP(Evaluator):
+    """
+    Calculate the detection mean average precision (mAP).
+
+    TODO (Dang Qingqing): update the following doc.
+    The general steps are as follows:
+    1. calculate the true positive and false positive according to the input
+        of detection and labels.
+    2. calculate mAP value, support two versions: '11 point' and 'integral'.
+
+    Please get more information from the following articles:
+      https://sanchom.wordpress.com/tag/average-precision/
+      https://arxiv.org/abs/1512.02325
+
+    Args:
+        input (Variable): The detection results, which is a LoDTensor with shape
+            [M, 6]. The layout is [label, confidence, xmin, ymin, xmax, ymax].
+        gt_label (Variable): The ground truth label index, which is a LoDTensor
+            with shape [N, 1]. 
+        gt_difficult (Variable): Whether this ground truth is a difficult
+            bounding box (bbox), which is a LoDTensor [N, 1].
+        gt_box (Variable): The ground truth bounding box (bbox), which is a
+            LoDTensor with shape [N, 6]. The layout is [xmin, ymin, xmax, ymax].
+        overlap_threshold (float): The threshold for deciding true/false
+            positive, 0.5 by defalut.
+        evaluate_difficult (bool): Whether to consider difficult ground truth
+            for evaluation, True by defalut.
+        ap_version (string): The average precision calculation ways, it must be
+            'integral' or '11point'. Please check
+            https://sanchom.wordpress.com/tag/average-precision/ for details.
+            - 11point: the 11-point interpolated average precision.
+            - integral: the natural integral of the precision-recall curve.
+
+    Example:
+
+        exe = fluid.executor(place)
+        map_evaluator = fluid.Evaluator.DetectionMAP(input,
+            gt_label, gt_difficult, gt_box)
+        cur_map, accum_map = map_evaluator.get_map_var()
+        fetch = [cost, cur_map, accum_map]
+        for epoch in PASS_NUM:
+            map_evaluator.reset(exe)
+            for data in batches:
+                loss, cur_map_v, accum_map_v = exe.run(fetch_list=fetch)
+
+        In the above example:
+
+        'cur_map_v' is the mAP of current mini-batch.
+        'accum_map_v' is the accumulative mAP of one pass.
+    """
+
+    def __init__(self,
+                 input,
+                 gt_label,
+                 gt_box,
+                 gt_difficult,
+                 overlap_threshold=0.5,
+                 evaluate_difficult=True,
+                 ap_version='integral'):
+        super(DetectionMAP, self).__init__("map_eval")
+
+        gt_label = layers.cast(x=gt_label, dtype=gt_box.dtype)
+        gt_difficult = layers.cast(x=gt_difficult, dtype=gt_box.dtype)
+        label = layers.concat([gt_label, gt_difficult, gt_box], axis=1)
+
+        # calculate mean average precision (mAP) of current mini-batch
+        map = layers.detection_map(
+            input,
+            label,
+            overlap_threshold=overlap_threshold,
+            evaluate_difficult=evaluate_difficult,
+            ap_version=ap_version)
+
+        self.create_state(dtype='int32', shape=None, suffix='accum_pos_count')
+        self.create_state(dtype='float32', shape=None, suffix='accum_true_pos')
+        self.create_state(dtype='float32', shape=None, suffix='accum_false_pos')
+
+        self.has_state = None
+        var = self.helper.create_variable(
+            persistable=True, dtype='int32', shape=[1])
+        self.helper.set_variable_initializer(
+            var, initializer=Constant(value=int(0)))
+        self.has_state = var
+
+        # calculate accumulative mAP
+        accum_map = layers.detection_map(
+            input,
+            label,
+            overlap_threshold=overlap_threshold,
+            evaluate_difficult=evaluate_difficult,
+            has_state=self.has_state,
+            input_states=self.states,
+            out_states=self.states,
+            ap_version=ap_version)
+
+        layers.fill_constant(
+            shape=self.has_state.shape,
+            value=1,
+            dtype=self.has_state.dtype,
+            out=self.has_state)
+
+        self.cur_map = map
+        self.accum_map = accum_map
+
+    def get_map_var(self):
+        return self.cur_map, self.accum_map
+
+    def reset(self, executor, reset_program=None):
+        if reset_program is None:
+            reset_program = Program()
+        with program_guard(main_program=reset_program):
+            var = _clone_var_(reset_program.current_block(), self.has_state)
+            layers.fill_constant(
+                shape=var.shape, value=0, dtype=var.dtype, out=var)
+        executor.run(reset_program)

python/paddle/fluid/layers/__init__.py

@@ -28,6 +28,7 @@ import math_op_patch
 from math_op_patch import *
 import detection
 from detection import *
+from learning_rate_scheduler import *
 
 __all__ = []
 __all__ += math_op_patch.__all__
@@ -38,3 +39,4 @@ __all__ += control_flow.__all__
 __all__ += ops.__all__
 __all__ += device.__all__
 __all__ += detection.__all__
+__all__ += learning_rate_scheduler.__all__

python/paddle/fluid/layers/detection.py

@@ -151,23 +151,34 @@ def detection_output(loc,
 @autodoc()
 def detection_map(detect_res,
                   label,
-                  pos_count=None,
-                  true_pos=None,
-                  false_pos=None,
                   overlap_threshold=0.3,
                   evaluate_difficult=True,
-                  ap_type='integral'):
+                  has_state=None,
+                  input_states=None,
+                  out_states=None,
+                  ap_version='integral'):
     helper = LayerHelper("detection_map", **locals())
 
-    map_out = helper.create_tmp_variable(dtype='float32')
-    accum_pos_count_out = helper.create_tmp_variable(dtype='int32')
-    accum_true_pos_out = helper.create_tmp_variable(dtype='float32')
-    accum_false_pos_out = helper.create_tmp_variable(dtype='float32')
+    def __create_var(type):
+        return helper.create_tmp_variable(dtype=type)
+
+    map_out = __create_var('float32')
+    accum_pos_count_out = out_states[0] if out_states else __create_var('int32')
+    accum_true_pos_out = out_states[1] if out_states else __create_var(
+        'float32')
+    accum_false_pos_out = out_states[2] if out_states else __create_var(
+        'float32')
+
+    pos_count = input_states[0] if input_states else None
+    true_pos = input_states[1] if input_states else None
+    false_pos = input_states[2] if input_states else None
+
     helper.append_op(
         type="detection_map",
         inputs={
             'Label': label,
             'DetectRes': detect_res,
+            'HasState': has_state,
             'PosCount': pos_count,
             'TruePos': true_pos,
             'FalsePos': false_pos
@@ -181,9 +192,9 @@ def detection_map(detect_res,
         attrs={
             'overlap_threshold': overlap_threshold,
             'evaluate_difficult': evaluate_difficult,
-            'ap_type': ap_type
+            'ap_type': ap_version
         })
-    return map_out, accum_pos_count_out, accum_true_pos_out, accum_false_pos_out
+    return map_out
 
 
 def bipartite_match(dist_matrix,

python/paddle/fluid/learning_rate_decay.py → python/paddle/fluid/layers/learning_rate_scheduler.py

@@ -12,8 +12,11 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-import layers
-from initializer import init_on_cpu
+import control_flow
+import nn
+import ops
+import tensor
+from ..initializer import init_on_cpu
 
 __all__ = [
     'exponential_decay', 'natural_exp_decay', 'inverse_time_decay',
@@ -31,9 +34,9 @@ strategy according to this module.
 
 def _decay_step_counter():
     # the first global step is zero in learning rate decay
-    global_step = layers.autoincreased_step_counter(
+    global_step = nn.autoincreased_step_counter(
         counter_name='@LR_DECAY_COUNTER@', begin=0, step=1)
-    global_step = layers.cast(global_step, 'float32')
+    global_step = tensor.cast(global_step, 'float32')
     return global_step
 
 
@@ -60,7 +63,7 @@ def exponential_decay(learning_rate, decay_steps, decay_rate, staircase=False):
         # update learning_rate
         div_res = global_step / decay_steps
         if staircase:
-            div_res = layers.floor(x=div_res)
+            div_res = ops.floor(div_res)
         decayed_lr = learning_rate * (decay_rate**div_res)
 
     return decayed_lr
@@ -89,8 +92,8 @@ def natural_exp_decay(learning_rate, decay_steps, decay_rate, staircase=False):
     with init_on_cpu():
         div_res = global_step / decay_steps
         if staircase:
-            div_res = layers.floor(x=div_res)
-        decayed_lr = learning_rate * layers.exp(x=(-1 * decay_rate * div_res))
+            div_res = ops.floor(div_res)
+        decayed_lr = learning_rate * ops.exp(-1 * decay_rate * div_res)
 
     return decayed_lr
 
@@ -118,7 +121,7 @@ def inverse_time_decay(learning_rate, decay_steps, decay_rate, staircase=False):
     with init_on_cpu():
         div_res = global_step / decay_steps
         if staircase:
-            div_res = layers.floor(x=div_res)
+            div_res = ops.floor(div_res)
 
         decayed_lr = learning_rate / (1 + decay_rate * div_res)
 
@@ -154,21 +157,20 @@ def polynomial_decay(learning_rate,
 
     with init_on_cpu():
         if cycle:
-            div_res = layers.ceil(x=(global_step / decay_steps))
-            zero_var = layers.fill_constant(
+            div_res = ops.ceil(global_step / decay_steps)
+            zero_var = tensor.fill_constant(
                 shape=[1], dtype='float32', value=0.0)
-            one_var = layers.fill_constant(
+            one_var = tensor.fill_constant(
                 shape=[1], dtype='float32', value=1.0)
 
-            with layers.Switch() as switch:
+            with control_flow.Switch() as switch:
                 with switch.case(global_step == zero_var):
-                    layers.assign(input=one_var, output=div_res)
+                    tensor.assign(input=one_var, output=div_res)
             decay_steps = decay_steps * div_res
         else:
-            decay_steps_var = layers.fill_constant(
+            decay_steps_var = tensor.fill_constant(
                 shape=[1], dtype='float32', value=float(decay_steps))
-            global_step = layers.elementwise_min(
-                x=global_step, y=decay_steps_var)
+            global_step = ops.elementwise_min(x=global_step, y=decay_steps_var)
 
         decayed_lr = (learning_rate - end_learning_rate) * \
                      ((1 - global_step / decay_steps) ** power) + end_learning_rate
@@ -195,26 +197,26 @@ def piecewise_decay(boundaries, values):
     global_step = _decay_step_counter()
 
     with init_on_cpu():
-        lr = layers.create_global_var(
+        lr = tensor.create_global_var(
             shape=[1],
             value=0.0,
             dtype='float32',
             persistable=True,
             name="learning_rate")
 
-        with layers.Switch() as switch:
+        with control_flow.Switch() as switch:
             for i in range(len(boundaries)):
-                boundary_val = layers.fill_constant(
+                boundary_val = tensor.fill_constant(
                     shape=[1], dtype='float32', value=float(boundaries[i]))
-                value_var = layers.fill_constant(
+                value_var = tensor.fill_constant(
                     shape=[1], dtype='float32', value=float(values[i]))
                 with switch.case(global_step < boundary_val):
-                    layers.assign(value_var, lr)
-            last_value_var = layers.fill_constant(
+                    tensor.assign(value_var, lr)
+            last_value_var = tensor.fill_constant(
                 shape=[1],
                 dtype='float32',
                 value=float(values[len(values) - 1]))
             with switch.default():
-                layers.assign(last_value_var, lr)
+                tensor.assign(last_value_var, lr)
 
     return lr

python/paddle/fluid/tests/book/test_label_semantic_roles.py

@@ -170,7 +170,7 @@ def train(use_cuda, save_dirname=None, is_local=True):
     # TODO(qiao)
     # check other optimizers and check why out will be NAN
     sgd_optimizer = fluid.optimizer.SGD(
-        learning_rate=fluid.learning_rate_decay.exponential_decay(
+        learning_rate=fluid.layers.exponential_decay(
             learning_rate=0.0001,
             decay_steps=100000,
             decay_rate=0.5,

python/paddle/fluid/tests/book/test_understand_sentiment.py

@@ -274,7 +274,7 @@ def main(word_dict, net_method, use_cuda, parallel=False, save_dirname=None):
         use_cuda,
         parallel=parallel,
         save_dirname=save_dirname)
-    infer(use_cuda, save_dirname)
+    infer(word_dict, use_cuda, save_dirname)
 
 
 class TestUnderstandSentiment(unittest.TestCase):

python/paddle/fluid/tests/book_memory_optimization/test_memopt_fit_a_line.py

@@ -31,7 +31,7 @@ use_nccl = False
 place = fluid.CPUPlace()
 if fluid.core.is_compiled_with_cuda():
     device_type = 'CUDA'
-    use_nccl = True
+    use_nccl = False
     place = fluid.CUDAPlace(0)
 
 places = fluid.layers.get_places(device_count=0, device_type=device_type)

python/paddle/fluid/tests/test_detection.py

@@ -158,26 +158,9 @@ class TestDetectionMAP(unittest.TestCase):
                 append_batch_size=False,
                 dtype='float32')
 
-            map_out, accum_pos_count_out, accum_true_pos_out, accum_false_pos_out = layers.detection_map(
-                detect_res=detect_res, label=label)
+            map_out = layers.detection_map(detect_res=detect_res, label=label)
             self.assertIsNotNone(map_out)
-            self.assertIsNotNone(accum_pos_count_out)
-            self.assertIsNotNone(accum_true_pos_out)
-            self.assertIsNotNone(accum_false_pos_out)
             self.assertEqual(map_out.shape, (1, ))
-            map_out, accum_pos_count_out2, accum_true_pos_out2, accum_false_pos_out2 = layers.detection_map(
-                detect_res=detect_res, label=label)
-            self.assertIsNotNone(map_out)
-            self.assertIsNotNone(accum_pos_count_out2)
-            self.assertIsNotNone(accum_true_pos_out2)
-            self.assertIsNotNone(accum_false_pos_out2)
-            self.assertEqual(map_out.shape, (1, ))
-            self.assertEqual(accum_pos_count_out.shape,
-                             accum_pos_count_out2.shape)
-            self.assertEqual(accum_true_pos_out.shape,
-                             accum_true_pos_out2.shape)
-            self.assertEqual(accum_false_pos_out.shape,
-                             accum_false_pos_out2.shape)
         print(str(program))
 
 

python/paddle/fluid/tests/unittests/test_detection_map_op.py

@@ -34,10 +34,12 @@ class TestDetectionMAPOp(OpTest):
                 'int32')
             self.true_pos = np.array(self.true_pos).astype('float32')
             self.false_pos = np.array(self.false_pos).astype('float32')
+            self.has_state = np.array([1]).astype('int32')
 
             self.inputs = {
                 'Label': (self.label, self.label_lod),
                 'DetectRes': (self.detect, self.detect_lod),
+                'HasState': self.has_state,
                 'PosCount': self.class_pos_count,
                 'TruePos': (self.true_pos, self.true_pos_lod),
                 'FalsePos': (self.false_pos, self.false_pos_lod)

python/paddle/fluid/tests/unittests/test_learning_rate_decay.py → python/paddle/fluid/tests/unittests/test_learning_rate_scheduler.py

@@ -17,8 +17,8 @@ import math
 import unittest
 
 import paddle.fluid as fluid
+import paddle.fluid.layers as layers
 import paddle.fluid.framework as framework
-import paddle.fluid.learning_rate_decay as lr_decay
 
 
 def exponential_decay(learning_rate,
@@ -111,27 +111,24 @@ class TestLearningRateDecay(unittest.TestCase):
         common_kwargs_false["staircase"] = False
 
         decay_fns = [
-            (exponential_decay, lr_decay.exponential_decay, common_kwargs_true),
-            (exponential_decay, lr_decay.exponential_decay,
+            (exponential_decay, layers.exponential_decay, common_kwargs_true),
+            (exponential_decay, layers.exponential_decay, common_kwargs_false),
+            (natural_exp_decay, layers.natural_exp_decay, common_kwargs_true),
+            (natural_exp_decay, layers.natural_exp_decay, common_kwargs_false),
+            (inverse_time_decay, layers.inverse_time_decay, common_kwargs_true),
+            (inverse_time_decay, layers.inverse_time_decay,
              common_kwargs_false),
-            (natural_exp_decay, lr_decay.natural_exp_decay, common_kwargs_true),
-            (natural_exp_decay, lr_decay.natural_exp_decay,
-             common_kwargs_false),
-            (inverse_time_decay, lr_decay.inverse_time_decay,
-             common_kwargs_true),
-            (inverse_time_decay, lr_decay.inverse_time_decay,
-             common_kwargs_false),
-            (polynomial_decay, lr_decay.polynomial_decay, {
+            (polynomial_decay, layers.polynomial_decay, {
                 "learning_rate": 1.0,
                 "decay_steps": 5,
                 "cycle": True
             }),
-            (polynomial_decay, lr_decay.polynomial_decay, {
+            (polynomial_decay, layers.polynomial_decay, {
                 "learning_rate": 1.0,
                 "decay_steps": 5,
                 "cycle": False
             }),
-            (piecewise_decay, lr_decay.piecewise_decay, {
+            (piecewise_decay, layers.piecewise_decay, {
                 "boundaries": [3, 6, 9],
                 "values": [0.1, 0.2, 0.3, 0.4]
             }),