Skip to content

P
PaddleSlim

PaddlePaddle / PaddleSlim
1 年多 前同步成功

通知 51
Star 1434
Fork 344
P
PaddleSlim
切换分支/标签
查找文件 普通视图历史永久链接Permalink
index.html 26.3 KB
Newer Older
B
Deployed 09f99c9 with MkDocs version: 1.0.4  
baiyfbupt 已提交
1 2 3 4 5 6 7 8 9 10 
<!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">
  <meta http-equiv="X-UA-Compatible" content="IE=edge">
  <meta name="viewport" content="width=device-width, initial-scale=1.0">
  
  
  <link rel="shortcut icon" href="../../img/favicon.ico">
B
Deployed 0f9c3ce with MkDocs version: 1.0.4  
baiyfbupt 已提交
11 
  <title>模型分析 - PaddleSlim Docs</title>
B
Deployed 09f99c9 with MkDocs version: 1.0.4  
baiyfbupt 已提交
12 13 14 15 16 17 18 19 
  <link href='https://fonts.googleapis.com/css?family=Lato:400,700|Roboto+Slab:400,700|Inconsolata:400,700' rel='stylesheet' type='text/css'>

  <link rel="stylesheet" href="../../css/theme.css" type="text/css" />
  <link rel="stylesheet" href="../../css/theme_extra.css" type="text/css" />
  <link rel="stylesheet" href="//cdnjs.cloudflare.com/ajax/libs/highlight.js/9.12.0/styles/github.min.css">
  
  <script>
    // Current page data
B
Deployed 0f9c3ce with MkDocs version: 1.0.4  
baiyfbupt 已提交
20 
    var mkdocs_page_name = "\u6a21\u578b\u5206\u6790";
B
Deployed 09f99c9 with MkDocs version: 1.0.4  
baiyfbupt 已提交
21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 
    var mkdocs_page_input_path = "api/analysis_api.md";
    var mkdocs_page_url = null;
  </script>
  
  <script src="../../js/jquery-2.1.1.min.js" defer></script>
  <script src="../../js/modernizr-2.8.3.min.js" defer></script>
  <script src="//cdnjs.cloudflare.com/ajax/libs/highlight.js/9.12.0/highlight.min.js"></script>
  <script>hljs.initHighlightingOnLoad();</script> 
  
</head>

<body class="wy-body-for-nav" role="document">

  <div class="wy-grid-for-nav">

    
    <nav data-toggle="wy-nav-shift" class="wy-nav-side stickynav">
      <div class="wy-side-nav-search">
        <a href="../.." class="icon icon-home"> PaddleSlim Docs</a>
        <div role="search">
  <form id ="rtd-search-form" class="wy-form" action="../../search.html" method="get">
    <input type="text" name="q" placeholder="Search docs" title="Type search term here" />
  </form>
</div>
      </div>

      <div class="wy-menu wy-menu-vertical" data-spy="affix" role="navigation" aria-label="main navigation">
	<ul class="current">
	  
          
            <li class="toctree-l1">
		
    <a class="" href="../..">Home</a>
	    </li>
          
            <li class="toctree-l1">
B
Deployed 482d368 with MkDocs version: 1.0.4  
baiyfbupt 已提交
58 59 60 61 62 
    <a class="" href="../../model_zoo/">模型库</a>
	    </li>
          
            <li class="toctree-l1">
B
Deployed 55210fe with MkDocs version: 1.0.4  
baiyfbupt 已提交
63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 
    <span class="caption-text">教程</span>
    <ul class="subnav">
                <li class="">
                    
    <a class="" href="../../tutorials/quant_post_demo/">离线量化</a>
                </li>
                <li class="">
                    
    <a class="" href="../../tutorials/quant_aware_demo/">量化训练</a>
                </li>
                <li class="">
                    
    <a class="" href="../../tutorials/quant_embedding_demo/">Embedding量化</a>
                </li>
                <li class="">
                    
    <a class="" href="../../tutorials/nas_demo/">SA搜索</a>
                </li>
                <li class="">
                    
    <a class="" href="../../tutorials/distillation_demo/">知识蒸馏</a>
                </li>
    </ul>
	    </li>
          
            <li class="toctree-l1">
B
Deployed 09f99c9 with MkDocs version: 1.0.4  
baiyfbupt 已提交
90 91 92 93 94 95 96 97 
    <span class="caption-text">API</span>
    <ul class="subnav">
                <li class="">
                    
    <a class="" href="../quantization_api/">量化</a>
                </li>
                <li class="">
B
Deployed 0f9c3ce with MkDocs version: 1.0.4  
baiyfbupt 已提交
98 
    <a class="" href="../prune_api/">剪枝与敏感度</a>
B
Deployed 09f99c9 with MkDocs version: 1.0.4  
baiyfbupt 已提交
99 100 101 
                </li>
                <li class=" current">
B
Deployed 0f9c3ce with MkDocs version: 1.0.4  
baiyfbupt 已提交
102 
    <a class="current" href="./">模型分析</a>
B
Deployed 09f99c9 with MkDocs version: 1.0.4  
baiyfbupt 已提交
103 104 
    <ul class="subnav">
B
Deployed 0f9c3ce with MkDocs version: 1.0.4  
baiyfbupt 已提交
105 
    <li class="toctree-l3"><a href="#flops">FLOPs</a></li>
B
Deployed 09f99c9 with MkDocs version: 1.0.4  
baiyfbupt 已提交
106
B
Deployed 0f9c3ce with MkDocs version: 1.0.4  
baiyfbupt 已提交
107 108 109 110 111 

    <li class="toctree-l3"><a href="#model_size">model_size</a></li>
    

    <li class="toctree-l3"><a href="#tablelatencyevaluator">TableLatencyEvaluator</a></li>
B
Deployed 09f99c9 with MkDocs version: 1.0.4  
baiyfbupt 已提交
112 113 114 115 116 117 
    

    </ul>
                </li>
                <li class="">
B
Deployed 0f9c3ce with MkDocs version: 1.0.4  
baiyfbupt 已提交
118 
    <a class="" href="../single_distiller_api/">知识蒸馏</a>
B
Deployed 09f99c9 with MkDocs version: 1.0.4  
baiyfbupt 已提交
119 120 121 122 123 124 125 
                </li>
                <li class="">
                    
    <a class="" href="../nas_api/">SA搜索</a>
                </li>
                <li class="">
B
Deployed ab60054 with MkDocs version: 1.0.4  
baiyfbupt 已提交
126 
    <a class="" href="../../search_space/">搜索空间</a>
B
Deployed 09f99c9 with MkDocs version: 1.0.4  
baiyfbupt 已提交
127 
                </li>
B
Deployed 0f9c3ce with MkDocs version: 1.0.4  
baiyfbupt 已提交
128 129 130 131 
                <li class="">
                    
    <a class="" href="../../table_latency/">硬件延时评估表</a>
                </li>
B
Deployed 09f99c9 with MkDocs version: 1.0.4  
baiyfbupt 已提交
132 133 134 
    </ul>
	    </li>
B
Deployed 0f9c3ce with MkDocs version: 1.0.4  
baiyfbupt 已提交
135 136 137 138 139 
            <li class="toctree-l1">
		
    <a class="" href="../../algo/algo/">算法原理</a>
	    </li>
B
Deployed 09f99c9 with MkDocs version: 1.0.4  
baiyfbupt 已提交
140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 
        </ul>
      </div>
      &nbsp;
    </nav>

    <section data-toggle="wy-nav-shift" class="wy-nav-content-wrap">

      
      <nav class="wy-nav-top" role="navigation" aria-label="top navigation">
        <i data-toggle="wy-nav-top" class="fa fa-bars"></i>
        <a href="../..">PaddleSlim Docs</a>
      </nav>

      
      <div class="wy-nav-content">
        <div class="rst-content">
          <div role="navigation" aria-label="breadcrumbs navigation">
  <ul class="wy-breadcrumbs">
    <li><a href="../..">Docs</a> &raquo;</li>
    
      
        
          <li>API &raquo;</li>
B
Deployed 0f9c3ce with MkDocs version: 1.0.4  
baiyfbupt 已提交
166 
    <li>模型分析</li>
B
Deployed 09f99c9 with MkDocs version: 1.0.4  
baiyfbupt 已提交
167 168 
    <li class="wy-breadcrumbs-aside">
B
Deployed 0b29482 with MkDocs version: 1.0.4  
baiyfbupt 已提交
169 
        <a href="https://github.com/PaddlePaddle/PaddleSlim/blob/develop/docs/docs/api/analysis_api.md"
B
Deployed 09f99c9 with MkDocs version: 1.0.4  
baiyfbupt 已提交
170 171 172 173 174 175 176 177 178 
          class="icon icon-github"> Edit on GitHub</a>
      
    </li>
  </ul>
  <hr/>
</div>
          <div role="main">
            <div class="section">
B
Deployed 0f9c3ce with MkDocs version: 1.0.4  
baiyfbupt 已提交
179 180 
                <h2 id="flops">FLOPs<a class="headerlink" href="#flops" title="Permanent link">#</a></h2>
<dl>
B
Deployed ab60054 with MkDocs version: 1.0.4  
baiyfbupt 已提交
181 
<dt>paddleslim.analysis.flops(program, detail=False) <a href="https://github.com/PaddlePaddle/PaddleSlim/blob/develop/paddleslim/analysis/flops.py">[源代码]</a></dt>
B
Deployed 0f9c3ce with MkDocs version: 1.0.4  
baiyfbupt 已提交
182 183 184 185 
<dd>
<p>获得指定网络的浮点运算次数(FLOPs)。</p>
</dd>
</dl>
B
Deployed 09f99c9 with MkDocs version: 1.0.4  
baiyfbupt 已提交
186 187 188 
<p><strong>参数：</strong></p>
<ul>
<li>
B
Deployed 0f9c3ce with MkDocs version: 1.0.4  
baiyfbupt 已提交
189 190 191 192 
<p><strong>program(paddle.fluid.Program)</strong> - 待分析的目标网络。更多关于Program的介绍请参考：<a href="https://www.paddlepaddle.org.cn/documentation/docs/zh/api_cn/fluid_cn/Program_cn.html#program">Program概念介绍</a>。</p>
</li>
<li>
<p><strong>detail(bool)</strong> - 是否返回每个卷积层的FLOPs。默认为False。</p>
B
Deployed 09f99c9 with MkDocs version: 1.0.4  
baiyfbupt 已提交
193 194 
</li>
<li>
B
Deployed 0f9c3ce with MkDocs version: 1.0.4  
baiyfbupt 已提交
195 
<p><strong>only_conv(bool)</strong> - 如果设置为True，则仅计算卷积层和全连接层的FLOPs，即浮点数的乘加（multiplication-adds）操作次数。如果设置为False，则也会计算卷积和全连接层之外的操作的FLOPs。</p>
B
Deployed 09f99c9 with MkDocs version: 1.0.4  
baiyfbupt 已提交
196 197 198 199 200 
</li>
</ul>
<p><strong>返回值：</strong></p>
<ul>
<li>
B
Deployed 0f9c3ce with MkDocs version: 1.0.4  
baiyfbupt 已提交
201 
<p><strong>flops(float)</strong> - 整个网络的FLOPs。</p>
B
Deployed 09f99c9 with MkDocs version: 1.0.4  
baiyfbupt 已提交
202 203 
</li>
<li>
B
Deployed 0f9c3ce with MkDocs version: 1.0.4  
baiyfbupt 已提交
204 
<p><strong>params2flops(dict)</strong> - 每层卷积对应的FLOPs，其中key为卷积层参数名称，value为FLOPs值。</p>
B
Deployed 09f99c9 with MkDocs version: 1.0.4  
baiyfbupt 已提交
205 206 207 
</li>
</ul>
<p><strong>示例：</strong></p>
B
Deployed 2c115a8 with MkDocs version: 1.0.4  
baiyfbupt 已提交
208 
<div class="codehilite"><pre><span></span><span class="kn">import</span> <span class="nn">paddle.fluid</span> <span class="kn">as</span> <span class="nn">fluid</span>
B
Deployed 09f99c9 with MkDocs version: 1.0.4  
baiyfbupt 已提交
209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 
<span class="kn">from</span> <span class="nn">paddle.fluid.param_attr</span> <span class="kn">import</span> <span class="n">ParamAttr</span>
<span class="kn">from</span> <span class="nn">paddleslim.analysis</span> <span class="kn">import</span> <span class="n">flops</span>

<span class="k">def</span> <span class="nf">conv_bn_layer</span><span class="p">(</span><span class="nb">input</span><span class="p">,</span>
                  <span class="n">num_filters</span><span class="p">,</span>
                  <span class="n">filter_size</span><span class="p">,</span>
                  <span class="n">name</span><span class="p">,</span>
                  <span class="n">stride</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                  <span class="n">groups</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                  <span class="n">act</span><span class="o">=</span><span class="bp">None</span><span class="p">):</span>
    <span class="n">conv</span> <span class="o">=</span> <span class="n">fluid</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">conv2d</span><span class="p">(</span>
        <span class="nb">input</span><span class="o">=</span><span class="nb">input</span><span class="p">,</span>
        <span class="n">num_filters</span><span class="o">=</span><span class="n">num_filters</span><span class="p">,</span>
        <span class="n">filter_size</span><span class="o">=</span><span class="n">filter_size</span><span class="p">,</span>
        <span class="n">stride</span><span class="o">=</span><span class="n">stride</span><span class="p">,</span>
        <span class="n">padding</span><span class="o">=</span><span class="p">(</span><span class="n">filter_size</span> <span class="o">-</span> <span class="mi">1</span><span class="p">)</span> <span class="o">//</span> <span class="mi">2</span><span class="p">,</span>
        <span class="n">groups</span><span class="o">=</span><span class="n">groups</span><span class="p">,</span>
        <span class="n">act</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span>
        <span class="n">param_attr</span><span class="o">=</span><span class="n">ParamAttr</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="n">name</span> <span class="o">+</span> <span class="s2">&quot;_weights&quot;</span><span class="p">),</span>
        <span class="n">bias_attr</span><span class="o">=</span><span class="bp">False</span><span class="p">,</span>
        <span class="n">name</span><span class="o">=</span><span class="n">name</span> <span class="o">+</span> <span class="s2">&quot;_out&quot;</span><span class="p">)</span>
    <span class="n">bn_name</span> <span class="o">=</span> <span class="n">name</span> <span class="o">+</span> <span class="s2">&quot;_bn&quot;</span>
    <span class="k">return</span> <span class="n">fluid</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">batch_norm</span><span class="p">(</span>
        <span class="nb">input</span><span class="o">=</span><span class="n">conv</span><span class="p">,</span>
        <span class="n">act</span><span class="o">=</span><span class="n">act</span><span class="p">,</span>
        <span class="n">name</span><span class="o">=</span><span class="n">bn_name</span> <span class="o">+</span> <span class="s1">&#39;_output&#39;</span><span class="p">,</span>
        <span class="n">param_attr</span><span class="o">=</span><span class="n">ParamAttr</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="n">bn_name</span> <span class="o">+</span> <span class="s1">&#39;_scale&#39;</span><span class="p">),</span>
        <span class="n">bias_attr</span><span class="o">=</span><span class="n">ParamAttr</span><span class="p">(</span><span class="n">bn_name</span> <span class="o">+</span> <span class="s1">&#39;_offset&#39;</span><span class="p">),</span>
        <span class="n">moving_mean_name</span><span class="o">=</span><span class="n">bn_name</span> <span class="o">+</span> <span class="s1">&#39;_mean&#39;</span><span class="p">,</span>
        <span class="n">moving_variance_name</span><span class="o">=</span><span class="n">bn_name</span> <span class="o">+</span> <span class="s1">&#39;_variance&#39;</span><span class="p">,</span> <span class="p">)</span>

<span class="n">main_program</span> <span class="o">=</span> <span class="n">fluid</span><span class="o">.</span><span class="n">Program</span><span class="p">()</span>
<span class="n">startup_program</span> <span class="o">=</span> <span class="n">fluid</span><span class="o">.</span><span class="n">Program</span><span class="p">()</span>
<span class="c1">#   X       X              O       X              O</span>
<span class="c1"># conv1--&gt;conv2--&gt;sum1--&gt;conv3--&gt;conv4--&gt;sum2--&gt;conv5--&gt;conv6</span>
<span class="c1">#     |            ^ |                    ^</span>
<span class="c1">#     |____________| |____________________|</span>
<span class="c1">#</span>
<span class="c1"># X: prune output channels</span>
<span class="c1"># O: prune input channels</span>
<span class="k">with</span> <span class="n">fluid</span><span class="o">.</span><span class="n">program_guard</span><span class="p">(</span><span class="n">main_program</span><span class="p">,</span> <span class="n">startup_program</span><span class="p">):</span>
    <span class="nb">input</span> <span class="o">=</span> <span class="n">fluid</span><span class="o">.</span><span class="n">data</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s2">&quot;image&quot;</span><span class="p">,</span> <span class="n">shape</span><span class="o">=</span><span class="p">[</span><span class="bp">None</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">16</span><span class="p">,</span> <span class="mi">16</span><span class="p">])</span>
    <span class="n">conv1</span> <span class="o">=</span> <span class="n">conv_bn_layer</span><span class="p">(</span><span class="nb">input</span><span class="p">,</span> <span class="mi">8</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="s2">&quot;conv1&quot;</span><span class="p">)</span>
    <span class="n">conv2</span> <span class="o">=</span> <span class="n">conv_bn_layer</span><span class="p">(</span><span class="n">conv1</span><span class="p">,</span> <span class="mi">8</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="s2">&quot;conv2&quot;</span><span class="p">)</span>
    <span class="n">sum1</span> <span class="o">=</span> <span class="n">conv1</span> <span class="o">+</span> <span class="n">conv2</span>
    <span class="n">conv3</span> <span class="o">=</span> <span class="n">conv_bn_layer</span><span class="p">(</span><span class="n">sum1</span><span class="p">,</span> <span class="mi">8</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="s2">&quot;conv3&quot;</span><span class="p">)</span>
    <span class="n">conv4</span> <span class="o">=</span> <span class="n">conv_bn_layer</span><span class="p">(</span><span class="n">conv3</span><span class="p">,</span> <span class="mi">8</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="s2">&quot;conv4&quot;</span><span class="p">)</span>
    <span class="n">sum2</span> <span class="o">=</span> <span class="n">conv4</span> <span class="o">+</span> <span class="n">sum1</span>
    <span class="n">conv5</span> <span class="o">=</span> <span class="n">conv_bn_layer</span><span class="p">(</span><span class="n">sum2</span><span class="p">,</span> <span class="mi">8</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="s2">&quot;conv5&quot;</span><span class="p">)</span>
    <span class="n">conv6</span> <span class="o">=</span> <span class="n">conv_bn_layer</span><span class="p">(</span><span class="n">conv5</span><span class="p">,</span> <span class="mi">8</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="s2">&quot;conv6&quot;</span><span class="p">)</span>
B
Deployed 0f9c3ce with MkDocs version: 1.0.4  
baiyfbupt 已提交
260 
<span class="k">print</span><span class="p">(</span><span class="s2">&quot;FLOPs: {}&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">flops</span><span class="p">(</span><span class="n">main_program</span><span class="p">)))</span>
B
Deployed 09f99c9 with MkDocs version: 1.0.4  
baiyfbupt 已提交
261 262 263 
</pre></div>

<h2 id="model_size">model_size<a class="headerlink" href="#model_size" title="Permanent link">#</a></h2>
B
Deployed ab60054 with MkDocs version: 1.0.4  
baiyfbupt 已提交
264 265 266 
<dl>
<dt>paddleslim.analysis.model_size(program) <a href="https://github.com/PaddlePaddle/PaddleSlim/blob/develop/paddleslim/analysis/model_size.py">[源代码]</a></dt>
<dd>
B
Deployed 09f99c9 with MkDocs version: 1.0.4  
baiyfbupt 已提交
267 
<p>获得指定网络的参数数量。</p>
B
Deployed ab60054 with MkDocs version: 1.0.4  
baiyfbupt 已提交
268 269 
</dd>
</dl>
B
Deployed 09f99c9 with MkDocs version: 1.0.4  
baiyfbupt 已提交
270 271 
<p><strong>参数：</strong></p>
<ul>
B
Deployed 0f9c3ce with MkDocs version: 1.0.4  
baiyfbupt 已提交
272 
<li><strong>program(paddle.fluid.Program)</strong> - 待分析的目标网络。更多关于Program的介绍请参考：<a href="https://www.paddlepaddle.org.cn/documentation/docs/zh/api_cn/fluid_cn/Program_cn.html#program">Program概念介绍</a>。</li>
B
Deployed 09f99c9 with MkDocs version: 1.0.4  
baiyfbupt 已提交
273 274 275 
</ul>
<p><strong>返回值：</strong></p>
<ul>
B
Deployed 0f9c3ce with MkDocs version: 1.0.4  
baiyfbupt 已提交
276 
<li><strong>model_size(int)</strong> - 整个网络的参数数量。</li>
B
Deployed 09f99c9 with MkDocs version: 1.0.4  
baiyfbupt 已提交
277 278 
</ul>
<p><strong>示例：</strong></p>
B
Deployed 2c115a8 with MkDocs version: 1.0.4  
baiyfbupt 已提交
279 
<div class="codehilite"><pre><span></span><span class="kn">import</span> <span class="nn">paddle.fluid</span> <span class="kn">as</span> <span class="nn">fluid</span>
B
Deployed 09f99c9 with MkDocs version: 1.0.4  
baiyfbupt 已提交
280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 
<span class="kn">from</span> <span class="nn">paddle.fluid.param_attr</span> <span class="kn">import</span> <span class="n">ParamAttr</span>
<span class="kn">from</span> <span class="nn">paddleslim.analysis</span> <span class="kn">import</span> <span class="n">model_size</span>

<span class="k">def</span> <span class="nf">conv_layer</span><span class="p">(</span><span class="nb">input</span><span class="p">,</span>
                  <span class="n">num_filters</span><span class="p">,</span>
                  <span class="n">filter_size</span><span class="p">,</span>
                  <span class="n">name</span><span class="p">,</span>
                  <span class="n">stride</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                  <span class="n">groups</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                  <span class="n">act</span><span class="o">=</span><span class="bp">None</span><span class="p">):</span>
    <span class="n">conv</span> <span class="o">=</span> <span class="n">fluid</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">conv2d</span><span class="p">(</span>
        <span class="nb">input</span><span class="o">=</span><span class="nb">input</span><span class="p">,</span>
        <span class="n">num_filters</span><span class="o">=</span><span class="n">num_filters</span><span class="p">,</span>
        <span class="n">filter_size</span><span class="o">=</span><span class="n">filter_size</span><span class="p">,</span>
        <span class="n">stride</span><span class="o">=</span><span class="n">stride</span><span class="p">,</span>
        <span class="n">padding</span><span class="o">=</span><span class="p">(</span><span class="n">filter_size</span> <span class="o">-</span> <span class="mi">1</span><span class="p">)</span> <span class="o">//</span> <span class="mi">2</span><span class="p">,</span>
        <span class="n">groups</span><span class="o">=</span><span class="n">groups</span><span class="p">,</span>
        <span class="n">act</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span>
        <span class="n">param_attr</span><span class="o">=</span><span class="n">ParamAttr</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="n">name</span> <span class="o">+</span> <span class="s2">&quot;_weights&quot;</span><span class="p">),</span>
        <span class="n">bias_attr</span><span class="o">=</span><span class="bp">False</span><span class="p">,</span>
        <span class="n">name</span><span class="o">=</span><span class="n">name</span> <span class="o">+</span> <span class="s2">&quot;_out&quot;</span><span class="p">)</span>
    <span class="k">return</span> <span class="n">conv</span>

<span class="n">main_program</span> <span class="o">=</span> <span class="n">fluid</span><span class="o">.</span><span class="n">Program</span><span class="p">()</span>
<span class="n">startup_program</span> <span class="o">=</span> <span class="n">fluid</span><span class="o">.</span><span class="n">Program</span><span class="p">()</span>
<span class="c1">#   X       X              O       X              O</span>
<span class="c1"># conv1--&gt;conv2--&gt;sum1--&gt;conv3--&gt;conv4--&gt;sum2--&gt;conv5--&gt;conv6</span>
<span class="c1">#     |            ^ |                    ^</span>
<span class="c1">#     |____________| |____________________|</span>
<span class="c1">#</span>
<span class="c1"># X: prune output channels</span>
<span class="c1"># O: prune input channels</span>
<span class="k">with</span> <span class="n">fluid</span><span class="o">.</span><span class="n">program_guard</span><span class="p">(</span><span class="n">main_program</span><span class="p">,</span> <span class="n">startup_program</span><span class="p">):</span>
    <span class="nb">input</span> <span class="o">=</span> <span class="n">fluid</span><span class="o">.</span><span class="n">data</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s2">&quot;image&quot;</span><span class="p">,</span> <span class="n">shape</span><span class="o">=</span><span class="p">[</span><span class="bp">None</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">16</span><span class="p">,</span> <span class="mi">16</span><span class="p">])</span>
    <span class="n">conv1</span> <span class="o">=</span> <span class="n">conv_layer</span><span class="p">(</span><span class="nb">input</span><span class="p">,</span> <span class="mi">8</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="s2">&quot;conv1&quot;</span><span class="p">)</span>
    <span class="n">conv2</span> <span class="o">=</span> <span class="n">conv_layer</span><span class="p">(</span><span class="n">conv1</span><span class="p">,</span> <span class="mi">8</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="s2">&quot;conv2&quot;</span><span class="p">)</span>
    <span class="n">sum1</span> <span class="o">=</span> <span class="n">conv1</span> <span class="o">+</span> <span class="n">conv2</span>
    <span class="n">conv3</span> <span class="o">=</span> <span class="n">conv_layer</span><span class="p">(</span><span class="n">sum1</span><span class="p">,</span> <span class="mi">8</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="s2">&quot;conv3&quot;</span><span class="p">)</span>
    <span class="n">conv4</span> <span class="o">=</span> <span class="n">conv_layer</span><span class="p">(</span><span class="n">conv3</span><span class="p">,</span> <span class="mi">8</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="s2">&quot;conv4&quot;</span><span class="p">)</span>
    <span class="n">sum2</span> <span class="o">=</span> <span class="n">conv4</span> <span class="o">+</span> <span class="n">sum1</span>
    <span class="n">conv5</span> <span class="o">=</span> <span class="n">conv_layer</span><span class="p">(</span><span class="n">sum2</span><span class="p">,</span> <span class="mi">8</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="s2">&quot;conv5&quot;</span><span class="p">)</span>
    <span class="n">conv6</span> <span class="o">=</span> <span class="n">conv_layer</span><span class="p">(</span><span class="n">conv5</span><span class="p">,</span> <span class="mi">8</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="s2">&quot;conv6&quot;</span><span class="p">)</span>
B
Deployed 0f9c3ce with MkDocs version: 1.0.4  
baiyfbupt 已提交
323 
<span class="k">print</span><span class="p">(</span><span class="s2">&quot;FLOPs: {}&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">model_size</span><span class="p">(</span><span class="n">main_program</span><span class="p">)))</span>
B
Deployed 09f99c9 with MkDocs version: 1.0.4  
baiyfbupt 已提交
324 325 326 
</pre></div>

<h2 id="tablelatencyevaluator">TableLatencyEvaluator<a class="headerlink" href="#tablelatencyevaluator" title="Permanent link">#</a></h2>
B
Deployed 0f9c3ce with MkDocs version: 1.0.4  
baiyfbupt 已提交
327 
<dl>
B
Deployed ab60054 with MkDocs version: 1.0.4  
baiyfbupt 已提交
328 
<dt>paddleslim.analysis.TableLatencyEvaluator(table_file, delimiter=",") <a href="https://github.com/PaddlePaddle/PaddleSlim/blob/develop/paddleslim/analysis/latency.py">[源代码]</a></dt>
B
Deployed 0f9c3ce with MkDocs version: 1.0.4  
baiyfbupt 已提交
329 
<dd>
B
Deployed 09f99c9 with MkDocs version: 1.0.4  
baiyfbupt 已提交
330 
<p>基于硬件延时表的模型延时评估器。</p>
B
Deployed 0f9c3ce with MkDocs version: 1.0.4  
baiyfbupt 已提交
331 332 
</dd>
</dl>
B
Deployed 09f99c9 with MkDocs version: 1.0.4  
baiyfbupt 已提交
333 334 335 
<p><strong>参数：</strong></p>
<ul>
<li>
B
Deployed ab60054 with MkDocs version: 1.0.4  
baiyfbupt 已提交
336 
<p><strong>table_file(str)</strong> - 所使用的延时评估表的绝对路径。关于演示评估表格式请参考：<a href="https://github.com/PaddlePaddle/PaddleSlim/blob/develop/docs/docs/table_latency.md">PaddleSlim硬件延时评估表格式</a></p>
B
Deployed 09f99c9 with MkDocs version: 1.0.4  
baiyfbupt 已提交
337 338 
</li>
<li>
B
Deployed 0f9c3ce with MkDocs version: 1.0.4  
baiyfbupt 已提交
339 
<p><strong>delimiter(str)</strong> - 硬件延时评估表中，操作信息之前所使用的分割符，默认为英文字符逗号。</p>
B
Deployed 09f99c9 with MkDocs version: 1.0.4  
baiyfbupt 已提交
340 341 342 343 
</li>
</ul>
<p><strong>返回值：</strong></p>
<ul>
B
Deployed 0f9c3ce with MkDocs version: 1.0.4  
baiyfbupt 已提交
344 
<li><strong>Evaluator</strong> - 硬件延时评估器的实例。</li>
B
Deployed 09f99c9 with MkDocs version: 1.0.4  
baiyfbupt 已提交
345 
</ul>
B
Deployed 0f9c3ce with MkDocs version: 1.0.4  
baiyfbupt 已提交
346 
<dl>
B
Deployed ab60054 with MkDocs version: 1.0.4  
baiyfbupt 已提交
347 
<dt>paddleslim.analysis.TableLatencyEvaluator.latency(graph) <a href="https://github.com/PaddlePaddle/PaddleSlim/blob/develop/paddleslim/analysis/latency.py">[源代码]</a></dt>
B
Deployed 0f9c3ce with MkDocs version: 1.0.4  
baiyfbupt 已提交
348 
<dd>
B
Deployed 09f99c9 with MkDocs version: 1.0.4  
baiyfbupt 已提交
349 
<p>获得指定网络的预估延时。</p>
B
Deployed 0f9c3ce with MkDocs version: 1.0.4  
baiyfbupt 已提交
350 351 
</dd>
</dl>
B
Deployed 09f99c9 with MkDocs version: 1.0.4  
baiyfbupt 已提交
352 353 
<p><strong>参数：</strong></p>
<ul>
B
Deployed 0f9c3ce with MkDocs version: 1.0.4  
baiyfbupt 已提交
354 
<li><strong>graph(Program)</strong> - 待预估的目标网络。</li>
B
Deployed 09f99c9 with MkDocs version: 1.0.4  
baiyfbupt 已提交
355 356 357 
</ul>
<p><strong>返回值：</strong></p>
<ul>
B
Deployed 0f9c3ce with MkDocs version: 1.0.4  
baiyfbupt 已提交
358 
<li><strong>latency</strong> - 目标网络的预估延时。</li>
B
Deployed 09f99c9 with MkDocs version: 1.0.4  
baiyfbupt 已提交
359 360 361 362 363 364 365 366 
</ul>
              
            </div>
          </div>
          <footer>
  
    <div class="rst-footer-buttons" role="navigation" aria-label="footer navigation">
B
Deployed 0f9c3ce with MkDocs version: 1.0.4  
baiyfbupt 已提交
367 
        <a href="../single_distiller_api/" class="btn btn-neutral float-right" title="知识蒸馏">Next <span class="icon icon-circle-arrow-right"></span></a>
B
Deployed 09f99c9 with MkDocs version: 1.0.4  
baiyfbupt 已提交
368 369
B
Deployed 0f9c3ce with MkDocs version: 1.0.4  
baiyfbupt 已提交
370 
        <a href="../prune_api/" class="btn btn-neutral" title="剪枝与敏感度"><span class="icon icon-circle-arrow-left"></span> Previous</a>
B
Deployed 09f99c9 with MkDocs version: 1.0.4  
baiyfbupt 已提交
371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 
      
    </div>
  

  <hr/>

  <div role="contentinfo">
    <!-- Copyright etc -->
    
  </div>

  Built with <a href="http://www.mkdocs.org">MkDocs</a> using a <a href="https://github.com/snide/sphinx_rtd_theme">theme</a> provided by <a href="https://readthedocs.org">Read the Docs</a>.
</footer>
      
        </div>
      </div>

    </section>

  </div>

  <div class="rst-versions" role="note" style="cursor: pointer">
    <span class="rst-current-version" data-toggle="rst-current-version">
      
          <a href="https://github.com/PaddlePaddle/PaddleSlim/" class="fa fa-github" style="float: left; color: #fcfcfc"> GitHub</a>
      
      
        <span><a href="../prune_api/" style="color: #fcfcfc;">&laquo; Previous</a></span>
      
      
        <span style="margin-left: 15px"><a href="../single_distiller_api/" style="color: #fcfcfc">Next &raquo;</a></span>
      
    </span>
</div>
    <script>var base_url = '../..';</script>
    <script src="../../js/theme.js" defer></script>
      <script src="../../mathjax-config.js" defer></script>
B
Deployed 0f9c3ce with MkDocs version: 1.0.4  
baiyfbupt 已提交
408 
      <script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.0/MathJax.js?config=TeX-AMS-MML_HTMLorMML" defer></script>
B
Deployed 09f99c9 with MkDocs version: 1.0.4  
baiyfbupt 已提交
409 410 411 412 
      <script src="../../search/main.js" defer></script>

</body>
</html>