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<a href="/docs/tutorials/quant_post_demo/">离线量化示例</a> </li>
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css/base.css 已删除 100644 → 0
浏览文件 @ 51b6126d
body {
padding-top: 70px;
}
/* Replacement for `body { background-attachment: fixed; }`, which has
performance issues when scrolling on large displays. See #1394. */
body::before {
content: ' ';
position: fixed;
width: 100%;
height: 100%;
top: 0;
left: 0;
background-color: #f8f8f8;
background: url(../img/grid.png) repeat-x;
will-change: transform;
z-index: -1;
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body > .container {
min-height: 400px;
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ul.nav .main {
font-weight: bold;
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z-index: 1;
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}
/* All levels of nav */
.bs-sidebar .nav > li > a {
display: block;
padding: 5px 20px;
z-index: 1;
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.bs-sidebar .nav > li > a:hover,
.bs-sidebar .nav > li > a:focus {
text-decoration: none;
border-right: 1px solid;
}
.bs-sidebar .nav > .active > a,
.bs-sidebar .nav > .active:hover > a,
.bs-sidebar .nav > .active:focus > a {
font-weight: bold;
background-color: transparent;
border-right: 1px solid;
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/* Nav: second level (shown on .active) */
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display: none; /* Hide by default, but at >768px, show it */
margin-bottom: 8px;
}
.bs-sidebar .nav .nav > li > a {
padding-top: 3px;
padding-bottom: 3px;
padding-left: 30px;
font-size: 90%;
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/* Show and affix the side nav when space allows it */
@media (min-width: 992px) {
/* Workaround a Safari bug when zooming to < 100%
https://github.com/mkdocs/mkdocs/issues/1050 */
.col-md-9 {
box-sizing: border-box; /* csslint allow: box-sizing */
padding-left: 25%;
width: 100%;
}
.bs-sidebar .nav > .active > ul {
display: block;
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/* Widen the fixed sidebar */
.bs-sidebar.affix, /* csslint allow: adjoining-classes */
.bs-sidebar.affix-bottom { /* csslint allow: adjoining-classes */
width: 213px;
}
.bs-sidebar.affix { /* csslint allow: adjoining-classes */
position: fixed; /* Undo the static from mobile first approach */
top: 80px;
}
.bs-sidebar.affix-bottom { /* csslint allow: adjoining-classes */
position: absolute; /* Undo the static from mobile first approach */
}
.bs-sidebar.affix-bottom .bs-sidenav, /* csslint allow: adjoining-classes */
.bs-sidebar.affix .bs-sidenav { /* csslint allow: adjoining-classes */
margin-top: 0;
margin-bottom: 0;
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}
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.bs-sidebar.affix { /* csslint allow: adjoining-classes */
width: 263px;
}
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.headerlink {
font-family: FontAwesome;
font-size: 14px;
display: none;
padding-left: .5em;
}
h1:hover .headerlink, h2:hover .headerlink, h3:hover .headerlink, h4:hover .headerlink, h5:hover .headerlink, h6:hover .headerlink{
display:inline-block;
}
.admonition {
padding: 15px;
margin-bottom: 20px;
border: 1px solid transparent;
border-radius: 4px;
text-align: left;
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.admonition.note { /* csslint allow: adjoining-classes */
color: #3a87ad;
background-color: #d9edf7;
border-color: #bce8f1;
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color: #c09853;
background-color: #fcf8e3;
border-color: #fbeed5;
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color: #b94a48;
background-color: #f2dede;
border-color: #eed3d7;
}
.admonition-title {
font-weight: bold;
text-align: left;
}
.dropdown-submenu {
position: relative;
}
.dropdown-submenu>.dropdown-menu {
top: 0;
left: 100%;
margin-top: -6px;
margin-left: -1px;
-webkit-border-radius: 0 6px 6px 6px;
-moz-border-radius: 0 6px 6px;
border-radius: 0 6px 6px 6px;
}
.dropdown-submenu:hover>.dropdown-menu {
display: block;
}
.dropdown-submenu>a:after {
display: block;
content: " ";
float: right;
width: 0;
height: 0;
border-color: transparent;
border-style: solid;
border-width: 5px 0 5px 5px;
border-left-color: #ccc;
margin-top: 5px;
margin-right: -10px;
}
.dropdown-submenu:hover>a:after {
border-left-color: #fff;
}
.dropdown-submenu.pull-left { /* csslint allow: adjoining-classes */
float: none;
}
.dropdown-submenu.pull-left>.dropdown-menu { /* csslint allow: adjoining-classes */
left: -100%;
margin-left: 10px;
-webkit-border-radius: 6px 0 6px 6px;
-moz-border-radius: 6px 0 6px 6px;
border-radius: 6px 0 6px 6px;
}
css/bootstrap-custom.min.css 已删除 100644 → 0
浏览文件 @ 51b6126d
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docs/api/analysis_api/index.html
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...@@ -326,83 +354,53 @@ print(&quot;FLOPS: {}&quot;.format(model_size(main_program))) ...@@ -326,83 +354,53 @@ print(&quot;FLOPS: {}&quot;.format(model_size(main_program)))
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<h1 id="paddleslimnas-api">paddleslim.nas API文档</h1> <h1 id="paddleslimnas-api">paddleslim.nas API文档</h1>
<h2 id="sanas-api">SANAS API文档</h2> <h2 id="sanas-api">SANAS API文档</h2>
<h2 id="class-sanas">class SANAS</h2> <h2 id="class-sanas">class SANAS</h2>
<p>SANAS（Simulated Annealing Neural Architecture Search）是基于模拟退火算法进行模型结构搜索的算法，一般用于离散搜索任务。</p> <p>SANAS（Simulated Annealing Neural Architecture Search）是基于模拟退火算法进行模型结构搜索的算法，一般用于离散搜索任务。</p>
...@@ -322,83 +349,53 @@ for step in range(100): ...@@ -322,83 +349,53 @@ for step in range(100):
### 回传score ### 回传score
sa_nas.reward(float(finally_reward[1])) sa_nas.reward(float(finally_reward[1]))
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<h2 id="api">量化训练API</h2> <h2 id="api">量化训练API</h2>
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<pre><code>quant_config_default = { <pre><code>quant_config_default = {
...@@ -375,83 +403,53 @@ config = {'params_name': 'emb', 'quantize_type': 'abs_max'} ...@@ -375,83 +403,53 @@ config = {'params_name': 'emb', 'quantize_type': 'abs_max'}
quant_program = quant.quant_embedding(infer_program, place, config) quant_program = quant.quant_embedding(infer_program, place, config)
</code></pre> </code></pre>
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<h1 id="paddleslimnas">paddleslim.nas 提供的搜索空间：</h1> <h1 id="paddleslimnas">paddleslim.nas 提供的搜索空间：</h1>
<ol> <ol>
<li>根据原本模型结构构造搜索空间：</li> <li>根据原本模型结构构造搜索空间：</li>
</ol> </ol>
...@@ -253,83 +282,53 @@ class ResNetBlockSpace2(SearchSpaceBase): ...@@ -253,83 +282,53 @@ class ResNetBlockSpace2(SearchSpaceBase):
conv = fluid.layers.conv2d(input, num_filters, filter_size, stride, name=name+'_conv') conv = fluid.layers.conv2d(input, num_filters, filter_size, stride, name=name+'_conv')
bn = fluid.layers.batch_norm(conv, act=act, name=name+'_bn') bn = fluid.layers.batch_norm(conv, act=act, name=name+'_bn')
return bn return bn
</code></pre></div> </code></pre>
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<li > <li><a class="toctree-l5" href="#mergeteacher_program-student_program-data_name_map-place-scopefluidglobal_scope-name_prefixteacher_">merge(teacher_program, student_program, data_name_map, place, scope=fluid.global_scope(), name_prefix='teacher_')</a></li>
<a href="../../tutorials/quant_embedding_demo/">Embedding量化示例</a>
</li> <li><a class="toctree-l5" href="#fsp_lossteacher_var1_name-teacher_var2_name-student_var1_name-student_var2_name-programfluiddefault_main_program">fsp_loss(teacher_var1_name, teacher_var2_name, student_var1_name, student_var2_name, program=fluid.default_main_program())</a></li>
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<li><a class="toctree-l5" href="#soft_label_lossteacher_var_name-student_var_name-programfluiddefault_main_program-teacher_temperature1-student_temperature1">soft_label_loss(teacher_var_name, student_var_name, program=fluid.default_main_program(), teacher_temperature=1., student_temperature=1.)</a></li>
<li><a class="toctree-l5" href="#lossloss_func-programfluiddefault_main_program-kwargs">loss(loss_func, program=fluid.default_main_program(), **kwargs)</a></li>
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<a href="../../tutorials/quant_post_demo/">离线量化示例</a>
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<li><a href="#mergeteacher_program-student_program-data_name_map-place-scopefluidglobal_scope-name_prefixteacher_">merge(teacher_program, student_program, data_name_map, place, scope=fluid.global_scope(), name_prefix='teacher_')</a></li> <i data-toggle="wy-nav-top" class="fa fa-bars"></i>
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<li><a href="#lossloss_func-programfluiddefault_main_program-kwargs">loss(loss_func, program=fluid.default_main_program(), **kwargs)</a></li>
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<h1 id="paddleslimdist-api">paddleslim.dist API文档</h1> <h1 id="paddleslimdist-api">paddleslim.dist API文档</h1>
<h2 id="mergeteacher_program-student_program-data_name_map-place-scopefluidglobal_scope-name_prefixteacher_">merge(teacher_program, student_program, data_name_map, place, scope=fluid.global_scope(), name_prefix='teacher_')</h2> <h2 id="mergeteacher_program-student_program-data_name_map-place-scopefluidglobal_scope-name_prefixteacher_">merge(teacher_program, student_program, data_name_map, place, scope=fluid.global_scope(), name_prefix='teacher_')</h2>
<p>该方法将两个fluid program（teacher_program, student_program）融合为一个program，并将融合得到的program返回。在融合的program中，可以为其中合适的teacher特征图和student特征图添加蒸馏损失函数，从而达到用teacher模型的暗知识（Dark Knowledge）指导student模型学习的目的。</p> <p>该方法将两个fluid program（teacher_program, student_program）融合为一个program，并将融合得到的program返回。在融合的program中，可以为其中合适的teacher特征图和student特征图添加蒸馏损失函数，从而达到用teacher模型的暗知识（Dark Knowledge）指导student模型学习的目的。</p>
<p><strong>参数：</strong></p> <p><strong>参数：</strong></p>
...@@ -330,83 +361,53 @@ with fluid.program_guard(main_program): ...@@ -330,83 +361,53 @@ with fluid.program_guard(main_program):
<ol> <ol>
<li>建议与student_program使用同一个命名空间，以避免一些未指定名称的variables(例如tmp_0, tmp_1...)多次定义为同一名称出现命名冲突</li> <li>建议与student_program使用同一个命名空间，以避免一些未指定名称的variables(例如tmp_0, tmp_1...)多次定义为同一名称出现命名冲突</li>
<li>建议在添加蒸馏loss时指定一个命名空间前缀，具体用法请参考Paddle官方文档<a href="https://www.paddlepaddle.org.cn/documentation/docs/zh/api_cn/fluid_cn/name_scope_cn.html#name-scope">fluid.name_scope</a></li> <li>建议在添加蒸馏loss时指定一个命名空间前缀，具体用法请参考Paddle官方文档<a href="https://www.paddlepaddle.org.cn/documentation/docs/zh/api_cn/fluid_cn/name_scope_cn.html#name-scope">fluid.name_scope</a></li>
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<h1 id="paddleslim">PaddleSlim</h1> <h1 id="paddleslim">PaddleSlim</h1>
<p>PaddleSlim是PaddlePaddle框架的一个子模块，主要用于压缩图像领域模型。在PaddleSlim中，不仅实现了目前主流的网络剪枝、量化、蒸馏三种压缩策略，还实现了超参数搜索和小模型网络结构搜索功能。在后续版本中，会添加更多的压缩策略，以及完善对NLP领域模型的支持。</p> <p>PaddleSlim是PaddlePaddle框架的一个子模块，主要用于压缩图像领域模型。在PaddleSlim中，不仅实现了目前主流的网络剪枝、量化、蒸馏三种压缩策略，还实现了超参数搜索和小模型网络结构搜索功能。在后续版本中，会添加更多的压缩策略，以及完善对NLP领域模型的支持。</p>
<h2 id="_1">功能</h2> <h2 id="_1">功能</h2>
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...@@ -215,83 +240,53 @@ python setup.py install ...@@ -215,83 +240,53 @@ python setup.py install
<li><a href="">Paddle分割库</a>：介绍如何在分割库中使用PaddleSlim。</li> <li><a href="">Paddle分割库</a>：介绍如何在分割库中使用PaddleSlim。</li>
<li><a href="">PaddleLite</a>：介绍如何使用预测库PaddleLite部署PaddleSlim产出的模型。</li> <li><a href="">PaddleLite</a>：介绍如何使用预测库PaddleLite部署PaddleSlim产出的模型。</li>
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<h1 id="_1">硬件延时评估表</h1> <h1 id="_1">硬件延时评估表</h1>
<p>硬件延时评估表用于快速评估一个模型在特定硬件环境和推理引擎上的推理速度。 <p>硬件延时评估表用于快速评估一个模型在特定硬件环境和推理引擎上的推理速度。
该文档主要用于定义PaddleSlim支持的硬件延时评估表的格式。</p> 该文档主要用于定义PaddleSlim支持的硬件延时评估表的格式。</p>
<h2 id="_2">概述</h2> <h2 id="_2">概述</h2>
...@@ -280,83 +305,53 @@ ...@@ -280,83 +305,53 @@
<li><strong>h_in (int)</strong> - 输入 Tensor 的特征高度。</li> <li><strong>h_in (int)</strong> - 输入 Tensor 的特征高度。</li>
<li><strong>w_in (int)</strong> - 输入 Tensor 的特征宽度。</li> <li><strong>w_in (int)</strong> - 输入 Tensor 的特征宽度。</li>
<li><strong>latency (float)</strong> - 当前op的延时时间</li> <li><strong>latency (float)</strong> - 当前op的延时时间</li>
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...@@ -168,83 +205,53 @@ ...@@ -168,83 +205,53 @@
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<p>本示例介绍如何使用网络结构搜索接口，搜索到一个更小或者精度更高的模型，该文档仅介绍paddleslim中SANAS的使用及如何利用SANAS得到模型结构，完整示例代码请参考sa_nas_mobilenetv2.py或者block_sa_nas_mobilenetv2.py。</p> <p>本示例介绍如何使用网络结构搜索接口，搜索到一个更小或者精度更高的模型，该文档仅介绍paddleslim中SANAS的使用及如何利用SANAS得到模型结构，完整示例代码请参考sa_nas_mobilenetv2.py或者block_sa_nas_mobilenetv2.py。</p>
<h2 id="_2">接口介绍</h2> <h2 id="_2">接口介绍</h2>
<p>请参考。</p> <p>请参考。</p>
...@@ -214,83 +240,53 @@ if flops(train_program) &gt; 321208544: ...@@ -214,83 +240,53 @@ if flops(train_program) &gt; 321208544:
<h3 id="6-score">6. 回传score</h3> <h3 id="6-score">6. 回传score</h3>
<pre><code>sa_nas.reward(score) <pre><code>sa_nas.reward(score)
</code></pre></div> </code></pre>
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<h1 id="_1">在线量化示例</h1> <h1 id="_1">在线量化示例</h1>
<p>本示例介绍如何使用在线量化接口，来对训练好的分类模型进行量化, 可以减少模型的存储空间和显存占用。</p> <p>本示例介绍如何使用在线量化接口，来对训练好的分类模型进行量化, 可以减少模型的存储空间和显存占用。</p>
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...@@ -216,83 +243,53 @@ fluid.io.save_inference_model( ...@@ -216,83 +243,53 @@ fluid.io.save_inference_model(
main_program=int8_program, main_program=int8_program,
model_filename=int8_path + '/model', model_filename=int8_path + '/model',
params_filename=int8_path + '/params') params_filename=int8_path + '/params')
</code></pre></div> </code></pre>
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<h1 id="embedding">Embedding量化示例</h1> <h1 id="embedding">Embedding量化示例</h1>
<p>本示例介绍如何使用Embedding量化的接口 <a href="">paddleslim.quant.quant_embedding</a> 。<code>quant_embedding</code>接口将网络中的Embedding参数从<code>float32</code>类型量化到 <code>8-bit</code>整数类型，在几乎不损失模型精度的情况下减少模型的存储空间和显存占用。</p> <p>本示例介绍如何使用Embedding量化的接口 <a href="">paddleslim.quant.quant_embedding</a> 。<code>quant_embedding</code>接口将网络中的Embedding参数从<code>float32</code>类型量化到 <code>8-bit</code>整数类型，在几乎不损失模型精度的情况下减少模型的存储空间和显存占用。</p>
<p>接口介绍请参考 <a href='../../../paddleslim/quant/quantization_api_doc.md'>量化API文档</a>。</p> <p>接口介绍请参考 <a href='../../../paddleslim/quant/quantization_api_doc.md'>量化API文档</a>。</p>
<p>该接口对program的修改：</p> <p>该接口对program的修改：</p>
...@@ -337,83 +364,53 @@ step:1 2719 ...@@ -337,83 +364,53 @@ step:1 2719
epoch:9 acc:0.153 epoch:9 acc:0.153
</code></pre> </code></pre>
<p>量化后的模型保存在<code>./output_quant</code>中，可看到量化后的参数<code>'emb.int8'</code>的大小为3.9M, 在<code>./v1_cpu5_b100_lr1dir</code>中可看到量化前的参数<code>'emb'</code>的大小为16M。</p></div> <p>量化后的模型保存在<code>./output_quant</code>中，可看到量化后的参数<code>'emb.int8'</code>的大小为3.9M, 在<code>./v1_cpu5_b100_lr1dir</code>中可看到量化前的参数<code>'emb'</code>的大小为16M。</p>
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<h1 id="_1">离线量化示例</h1> <h1 id="_1">离线量化示例</h1>
<p>本示例介绍如何使用离线量化接口<code>paddleslim.quant.quant_post</code>来对训练好的分类模型进行离线量化, 该接口无需对模型进行训练就可得到量化模型，减少模型的存储空间和显存占用。</p> <p>本示例介绍如何使用离线量化接口<code>paddleslim.quant.quant_post</code>来对训练好的分类模型进行离线量化, 该接口无需对模型进行训练就可得到量化模型，减少模型的存储空间和显存占用。</p>
<h2 id="_2">接口介绍</h2> <h2 id="_2">接口介绍</h2>
<p>请参考 <a href='../../../paddleslim/quant/quantization_api_doc.md'>量化API文档</a>。</p> <p>请参考 <a href='../../../paddleslim/quant/quantization_api_doc.md'>量化API文档</a>。</p>
...@@ -209,83 +236,49 @@ ...@@ -209,83 +236,49 @@
<pre><code>top1_acc/top5_acc= [0.70141864 0.89086477] <pre><code>top1_acc/top5_acc= [0.70141864 0.89086477]
</code></pre> </code></pre>
<p>从以上精度对比可以看出，对<code>mobilenet</code>在<code>imagenet</code>上的分类模型进行离线量化后 <code>top1</code>精度损失为<code>0.77%</code>， <code>top5</code>精度损失为<code>0.46%</code>. </p></div> <p>从以上精度对比可以看出，对<code>mobilenet</code>在<code>imagenet</code>上的分类模型进行离线量化后 <code>top1</code>精度损失为<code>0.77%</code>， <code>top5</code>精度损失为<code>0.46%</code>. </p>
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<h2 id="commands">Commands</h2> <h2 id="commands">Commands</h2>
<ul> <ul>
...@@ -169,88 +188,54 @@ ...@@ -169,88 +188,54 @@
docs/ docs/
index.md # The documentation homepage. index.md # The documentation homepage.
... # Other markdown pages, images and other files. ... # Other markdown pages, images and other files.
</code></pre></div> </code></pre>
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<td>Search</td>
</tr>
</tbody>
</table>
</div>
<div class="modal-footer">
</div> </div>
</div> </div>
</section>
</div> </div>
<div class="rst-versions" role="note" style="cursor: pointer">
<span class="rst-current-version" data-toggle="rst-current-version">
<span style="margin-left: 15px"><a href="docs/" style="color: #fcfcfc">Next &raquo;</a></span>
</span>
</div> </div>
<script>var base_url = '.';</script>
<script src="js/theme.js" defer></script>
<script src="search/main.js" defer></script>
</body> </body>
</html> </html>
<!-- <!--
MkDocs version : 1.0.4 MkDocs version : 1.0.4
Build Date UTC : 2019-12-19 11:44:20 Build Date UTC : 2019-12-19 11:54:51
--> -->
js/base.js 已删除 100644 → 0
浏览文件 @ 51b6126d
function getSearchTerm()
{
var sPageURL = window.location.search.substring(1);
var sURLVariables = sPageURL.split('&');
for (var i = 0; i < sURLVariables.length; i++)
{
var sParameterName = sURLVariables[i].split('=');
if (sParameterName[0] == 'q')
{
return sParameterName[1];
}
}
}
$(document).ready(function() {
var search_term = getSearchTerm(),
$search_modal = $('#mkdocs_search_modal'),
$keyboard_modal = $('#mkdocs_keyboard_modal');
if(search_term){
$search_modal.modal();
}
// make sure search input gets autofocus everytime modal opens.
$search_modal.on('shown.bs.modal', function () {
$search_modal.find('#mkdocs-search-query').focus();
});
// Close search modal when result is selected
// The links get added later so listen to parent
$('#mkdocs-search-results').click(function(e) {
if ($(e.target).is('a')) {
$search_modal.modal('hide');
}
});
// Populate keyboard modal with proper Keys
$keyboard_modal.find('.help.shortcut kbd')[0].innerHTML = keyCodes[shortcuts.help];
$keyboard_modal.find('.prev.shortcut kbd')[0].innerHTML = keyCodes[shortcuts.previous];
$keyboard_modal.find('.next.shortcut kbd')[0].innerHTML = keyCodes[shortcuts.next];
$keyboard_modal.find('.search.shortcut kbd')[0].innerHTML = keyCodes[shortcuts.search];
// Keyboard navigation
document.addEventListener("keydown", function(e) {
if ($(e.target).is(':input')) return true;
var key = e.which || e.keyCode || window.event && window.event.keyCode;
var page;
switch (key) {
case shortcuts.next:
page = $('[role="navigation"] a:contains(Next):first').prop('href');
break;
case shortcuts.previous:
page = $('[role="navigation"] a:contains(Previous):first').prop('href');
break;
case shortcuts.search:
e.preventDefault();
$keyboard_modal.modal('hide');
$search_modal.modal('show');
$search_modal.find('#mkdocs-search-query').focus();
break;
case shortcuts.help:
$search_modal.modal('hide');
$keyboard_modal.modal('show');
break;
default: break;
}
if (page) {
$keyboard_modal.modal('hide');
window.location.href = page;
}
});
$('table').addClass('table table-striped table-hover');
// Improve the scrollspy behaviour when users click on a TOC item.
$(".bs-sidenav a").on("click", function() {
var clicked = this;
setTimeout(function() {
var active = $('.nav li.active a');
active = active[active.length - 1];
if (clicked !== active) {
$(active).parent().removeClass("active");
$(clicked).parent().addClass("active");
}
}, 50);
});
});
$('body').scrollspy({
target: '.bs-sidebar',
offset: 100
});
/* Prevent disabled links from causing a page reload */
$("li.disabled a").click(function() {
event.preventDefault();
});
// See https://www.cambiaresearch.com/articles/15/javascript-char-codes-key-codes
// We only list common keys below. Obscure keys are omited and their use is discouraged.
var keyCodes = {
8: 'backspace',
9: 'tab',
13: 'enter',
16: 'shift',
17: 'ctrl',
18: 'alt',
19: 'pause/break',
20: 'caps lock',
27: 'escape',
32: 'spacebar',
33: 'page up',
34: 'page down',
35: 'end',
36: 'home',
37: '&larr;',
38: '&uarr;',
39: '&rarr;',
40: '&darr;',
45: 'insert',
46: 'delete',
48: '0',
49: '1',
50: '2',
51: '3',
52: '4',
53: '5',
54: '6',
55: '7',
56: '8',
57: '9',
65: 'a',
66: 'b',
67: 'c',
68: 'd',
69: 'e',
70: 'f',
71: 'g',
72: 'h',
73: 'i',
74: 'j',
75: 'k',
76: 'l',
77: 'm',
78: 'n',
79: 'o',
80: 'p',
81: 'q',
82: 'r',
83: 's',
84: 't',
85: 'u',
86: 'v',
87: 'w',
88: 'x',
89: 'y',
90: 'z',
91: 'Left Windows Key / Left ⌘',
92: 'Right Windows Key',
93: 'Windows Menu / Right ⌘',
96: 'numpad 0',
97: 'numpad 1',
98: 'numpad 2',
99: 'numpad 3',
100: 'numpad 4',
101: 'numpad 5',
102: 'numpad 6',
103: 'numpad 7',
104: 'numpad 8',
105: 'numpad 9',
106: 'multiply',
107: 'add',
109: 'subtract',
110: 'decimal point',
111: 'divide',
112: 'f1',
113: 'f2',
114: 'f3',
115: 'f4',
116: 'f5',
117: 'f6',
118: 'f7',
119: 'f8',
120: 'f9',
121: 'f10',
122: 'f11',
123: 'f12',
124: 'f13',
125: 'f14',
126: 'f15',
127: 'f16',
128: 'f17',
129: 'f18',
130: 'f19',
131: 'f20',
132: 'f21',
133: 'f22',
134: 'f23',
135: 'f24',
144: 'num lock',
145: 'scroll lock',
186: '&semi;',
187: '&equals;',
188: '&comma;',
189: '&hyphen;',
190: '&period;',
191: '&quest;',
192: '&grave;',
219: '&lsqb;',
220: '&bsol;',
221: '&rsqb;',
222: '&apos;',
};
js/bootstrap-3.0.3.min.js 已删除 100644 → 0
浏览文件 @ 51b6126d
/*!
* Bootstrap v3.0.3 (http://getbootstrap.com)
* Copyright 2013 Twitter, Inc.
* Licensed under http://www.apache.org/licenses/LICENSE-2.0
*/
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浏览文件 @ 159a6f30
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js/modernizr-2.8.3.min.js 0 → 100644
浏览文件 @ 159a6f30
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js/theme.js 0 → 100644
浏览文件 @ 159a6f30
$( document ).ready(function() {
// Shift nav in mobile when clicking the menu.
$(document).on('click', "[data-toggle='wy-nav-top']", function() {
$("[data-toggle='wy-nav-shift']").toggleClass("shift");
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search.html 0 → 100644
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<!DOCTYPE html>
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<a class="" href="./docs/api/nas_api/">paddleslim.nas API文档</a>
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