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href="../../../../community/mail-lists.html">项ç®é®ä»¶å表</a></li> +<li class="toctree-l1"><a class="reference internal" href="../../../../community/issue-tracking.html">é®é¢è¿½è¸ª</a></li> +<li class="toctree-l1"><a class="reference internal" href="../../../../community/team-list.html">SINGAå¢é</a></li> +</ul> + + + + </div> + </div> + </nav> + + <section data-toggle="wy-nav-shift" class="wy-nav-content-wrap"> + + + <nav class="wy-nav-top" aria-label="top navigation"> + + <i data-toggle="wy-nav-top" class="fa fa-bars"></i> + <a href="../../../../index.html">incubator-singa</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="../../../../index.html">Docs</a> »</li> + + <li><a href="../../../index.html">ææ¡£</a> »</li> + + <li><a href="../../index.html">模ååº</a> »</li> + + <li>ç¨GoogleNetåå¾ååç±»</li> + + + <li class="wy-breadcrumbs-aside"> + + + + </li> + + </ul> + + + <hr/> +</div> + <div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article";> + <div itemprop="articleBody"> + + <p>name: GoogleNet on ImageNet</p> +<p>SINGA version: 1.0.1</p> +<p>SINGA commit: 8c990f7da2de220e8a012c6a8ecc897dc7532744</p> +<p>parameter_url: https://s3-ap-southeast-1.amazonaws.com/dlfile/bvlc_googlenet.tar.gz</p> +<p>parameter_sha1: 0a88e8948b1abca3badfd8d090d6be03f8d7655d</p> +<p>license: unrestricted https://github.com/BVLC/caffe/tree/master/models/bvlc_googlenet</p> +<hr class="docutils" /> +<div class="section" id="googlenet"> +<span id="googlenet"></span><h1>ç¨GoogleNetåå¾ååç±»<a class="headerlink" href="#googlenet" title="Permalink to this headline">¶</a></h1> +<p>è¿ä¸ªä¾åä¸ï¼æ们å°caffeè®ç»å¥½çGoogleNet转æ¢ä¸ºSINGA模å以ç¨ä½å¾ååç±»ã</p> +<div class="section" id=""> +<span id="id1"></span><h2>æä½è¯´æ<a class="headerlink" href="#" title="Permalink to this headline">¶</a></h2> +<ul> +<li><p class="first">ä¸è½½åæ°çcheckpointæ件å°å¦ä¸ç®å½</p> +<div class="highlight-default notranslate"><div class="highlight"><pre><span></span> $ wget https://s3-ap-southeast-1.amazonaws.com/dlfile/bvlc_googlenet.tar.gz + $ tar xvf bvlc_googlenet.tar.gz +</pre></div> +</div> +</li> +<li><p class="first">è¿è¡ç¨åº</p> +<div class="highlight-default notranslate"><div class="highlight"><pre><span></span> # use cpu + $ python serve.py -C & + # use gpu + $ python serve.py & +</pre></div> +</div> +</li> +<li><p class="first">æ交å¾çè¿è¡åç±»</p> +<div class="highlight-default notranslate"><div class="highlight"><pre><span></span> $ curl -i -F [email protected] http://localhost:9999/api + $ curl -i -F [email protected] http://localhost:9999/api + $ curl -i -F [email protected] http://localhost:9999/api +</pre></div> +</div> +</li> +</ul> +<p>image1.jpg, image2.jpgåimage3.jpgåºè¯¥å¨æ§è¡æ令å就已被ä¸è½½ã</p> +</div> +<div class="section" id=""> +<span id="id2"></span><h2>详ç»ä¿¡æ¯<a class="headerlink" href="#" title="Permalink to this headline">¶</a></h2> +<p>æ们é¦å ä»<a class="reference external" href="http://dl.caffe.berkeleyvision.org/bvlc_googlenet.caffemodel";>Caffeçcheckpointæ件</a>ä¸æååæ°å¼ï¼å¹¶è½¬æ¢ä¸ºpickleçæ¬ãä¸è½½checkpointæ件åè¿å ¥<code class="docutils literal notranslate"><span class="pre">caffe_root/python</span></code>æ件夹ï¼è¿è¡å¦ä¸èæ¬ï¼</p> +<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="c1"># to be executed within caffe_root/python folder</span> +<span class="kn">import</span> <span class="nn">caffe</span> +<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span> +<span class="kn">import</span> <span class="nn">cPickle</span> <span class="k">as</span> <span class="nn">pickle</span> + +<span class="n">model_def</span> <span class="o">=</span> <span class="s1">'../models/bvlc_googlenet/deploy.prototxt'</span> +<span class="n">weight</span> <span class="o">=</span> <span class="s1">'bvlc_googlenet.caffemodel'</span> <span class="c1"># must be downloaded at first</span> +<span class="n">net</span> <span class="o">=</span> <span class="n">caffe</span><span class="o">.</span><span class="n">Net</span><span class="p">(</span><span class="n">model_def</span><span class="p">,</span> <span class="n">weight</span><span class="p">,</span> <span class="n">caffe</span><span class="o">.</span><span class="n">TEST</span><span class="p">)</span> + +<span class="n">params</span> <span class="o">=</span> <span class="p">{}</span> +<span class="k">for</span> <span class="n">layer_name</span> <span class="ow">in</span> <span class="n">net</span><span class="o">.</span><span class="n">params</span><span class="o">.</span><span class="n">keys</span><span class="p">():</span> + <span class="n">weights</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">copy</span><span class="p">(</span><span class="n">net</span><span class="o">.</span><span class="n">params</span><span class="p">[</span><span class="n">layer_name</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">data</span><span class="p">)</span> + <span class="n">bias</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">copy</span><span class="p">(</span><span class="n">net</span><span class="o">.</span><span class="n">params</span><span class="p">[</span><span class="n">layer_name</span><span class="p">][</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">data</span><span class="p">)</span> + <span class="n">params</span><span class="p">[</span><span class="n">layer_name</span><span class="o">+</span><span class="s1">'_weight'</span><span class="p">]</span><span class="o">=</span><span class="n">weights</span> + <span class="n">params</span><span class="p">[</span><span class="n">layer_name</span><span class="o">+</span><span class="s1">'_bias'</span><span class="p">]</span><span class="o">=</span><span class="n">bias</span> + <span class="nb">print</span> <span class="n">layer_name</span><span class="p">,</span> <span class="n">weights</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">bias</span><span class="o">.</span><span class="n">shape</span> + +<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="s1">'bvlc_googlenet.pickle'</span><span class="p">,</span> <span class="s1">'wb'</span><span class="p">)</span> <span class="k">as</span> <span class="n">fd</span><span class="p">:</span> + <span class="n">pickle</span><span class="o">.</span><span class="n">dump</span><span class="p">(</span><span class="n">params</span><span class="p">,</span> <span class="n">fd</span><span class="p">)</span> +</pre></div> +</div> +<p>ç¶åæ们使ç¨SINGAçFeedForwardNetç»ææ建GoogleNetã 请注æï¼æ们添å äºä¸ä¸ªEndPaddingå±æ¥è§£å³Caffeï¼ä¸åæ´ï¼åcuDNNï¼ä¸åæ´ï¼ä¹é´æ± åå¾å±èå ¥çç¥å·®å¼çé®é¢ã åªæMaxPoolingå¾å±ä»¥å¤çå¯å¨åæææ¤é®é¢ã åè<a class="reference external" href="http://joelouismarino.github.io/blog_posts/blog_googlenet_keras.html";>è¿é</a>æ´å¤è¯¦æ ã</p> +</div> +</div> + + + </div> + + </div> + <footer> + + <div class="rst-footer-buttons" role="navigation" aria-label="footer navigation"> + + <a href="../../../../develop/schedule.html" class="btn btn-neutral float-right" title="å¼åæ¶é´è¡¨" accesskey="n" rel="next">Next <span class="fa fa-arrow-circle-right"></span></a> + + + <a href="../alexnet/README.html" class="btn btn-neutral" title="å¨ImageNetä¸è®ç»AlexNet" accesskey="p" rel="prev"><span class="fa fa-arrow-circle-left"></span> Previous</a> + + </div> + + + <hr/> + + <div role="contentinfo"> + <p> + © Copyright 2018 The Apache Software Foundation. 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href="#class-singa-net-feedforwardnet-loss-none-metric-none">class singa.net.FeedForwardNet(loss=None, metric=None)</a><ul> +<li class="toctree-l4"><a class="reference internal" href="#to-device-dev">to_device(dev)</a></li> +<li class="toctree-l4"><a class="reference internal" href="#add-lyr-src-none">add(lyr, src=None)</a></li> +<li class="toctree-l4"><a class="reference internal" href="#param-values">param_values()</a></li> +<li class="toctree-l4"><a class="reference internal" href="#param-specs">param_specs()</a></li> +<li class="toctree-l4"><a class="reference internal" href="#param-names">param_names()</a></li> +<li class="toctree-l4"><a class="reference internal" href="#train-x-y">train(x, y)</a></li> +<li class="toctree-l4"><a class="reference internal" href="#evaluate-x-y">evaluate(x, y)</a></li> +<li class="toctree-l4"><a class="reference internal" href="#predict-x">predict(x)</a></li> +<li class="toctree-l4"><a class="reference internal" href="#topo-sort-layers-src-of-layer">topo_sort(layers, src_of_layer)</a></li> +<li class="toctree-l4"><a class="reference internal" href="#forward-flag-x-output">forward(flag, x, output=[])</a></li> +<li class="toctree-l4"><a class="reference internal" href="#backward">backward()</a></li> +<li class="toctree-l4"><a class="reference internal" href="#save-f-buffer-size-10-use-pickle-false">save(f, buffer_size=10, use_pickle=False)</a></li> +<li class="toctree-l4"><a class="reference internal" href="#load-f-buffer-size-10-use-pickle-false">load(f, buffer_size=10, use_pickle=False)</a></li> +</ul> +</li> +</ul> +</li> +<li class="toctree-l2"><a class="reference internal" href="initializer.html">åå§åå¨(Initializer)</a></li> +<li class="toctree-l2"><a class="reference internal" href="loss.html">æ失(Loss)</a></li> +<li class="toctree-l2"><a class="reference internal" href="metric.html">度é(Metric)</a></li> +<li class="toctree-l2"><a class="reference internal" href="optimizer.html">ä¼åå¨(Optimizer)</a></li> +<li class="toctree-l2"><a class="reference internal" href="data.html">æ°æ®(Data)</a></li> +<li class="toctree-l2"><a class="reference internal" href="image_tool.html">å¾åå·¥å ·</a></li> +<li class="toctree-l2"><a class="reference internal" href="snapshot.html">Snapshot</a></li> +<li class="toctree-l2"><a class="reference internal" href="utils.html">Utils</a></li> +<li class="toctree-l2"><a class="reference internal" href="model_zoo/index.html">模ååº</a></li> +</ul> +</li> +</ul> +<p class="caption"><span class="caption-text">å¼å</span></p> +<ul> +<li class="toctree-l1"><a class="reference internal" href="../develop/schedule.html">å¼åæ¶é´è¡¨</a></li> +<li class="toctree-l1"><a class="reference internal" href="../develop/how-contribute.html">å¦ä½è´¡ç®ç» SINGA</a></li> +<li class="toctree-l1"><a class="reference internal" href="../develop/contribute-code.html">å¦ä½è´¡ç®ä»£ç </a></li> +</ul> +<p class="caption"><span class="caption-text">社åº</span></p> +<ul> +<li class="toctree-l1"><a class="reference internal" href="../community/source-repository.html">æºä»£ç åº</a></li> +<li class="toctree-l1"><a class="reference internal" href="../community/mail-lists.html">项ç®é®ä»¶å表</a></li> +<li class="toctree-l1"><a class="reference internal" href="../community/issue-tracking.html">é®é¢è¿½è¸ª</a></li> +<li class="toctree-l1"><a class="reference internal" href="../community/team-list.html">SINGAå¢é</a></li> +</ul> + + + + </div> + </div> + </nav> + + <section data-toggle="wy-nav-shift" class="wy-nav-content-wrap"> + + + <nav class="wy-nav-top" aria-label="top navigation"> + + <i data-toggle="wy-nav-top" class="fa fa-bars"></i> + <a href="../index.html">incubator-singa</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="../index.html">Docs</a> »</li> + + <li><a href="index.html">ææ¡£</a> »</li> + + <li>åé¦ç½ç»</li> + + + <li class="wy-breadcrumbs-aside"> + + + + </li> + + </ul> + + + <hr/> +</div> + <div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article";> + <div itemprop="articleBody"> + + <div class="section" id=""> +<span id="id1"></span><h1>åé¦ç½ç»<a class="headerlink" href="#" title="Permalink to this headline">¶</a></h1> +<p>Neural netç±»ç¨å±æ¥å建ç½ç»å¹¶æä¾å¯ä»¥è·åç½ç»ä¿¡æ¯ï¼æ¯å¦ï¼åæ°ï¼çå½æ°ã</p> +<p>示ä¾ç¨æ³ï¼</p> +<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">singa</span> <span class="kn">import</span> <span class="n">net</span> <span class="k">as</span> <span class="n">ffnet</span> +<span class="kn">from</span> <span class="nn">singa</span> <span class="kn">import</span> <span class="n">metric</span> +<span class="kn">from</span> <span class="nn">singa</span> <span class="kn">import</span> <span class="n">loss</span> +<span class="kn">from</span> <span class="nn">singa</span> <span class="kn">import</span> <span class="n">layer</span> +<span class="kn">from</span> <span class="nn">singa</span> <span class="kn">import</span> <span class="n">device</span> + +<span class="c1"># create net and add layers</span> +<span class="n">net</span> <span class="o">=</span> <span class="n">ffnet</span><span class="o">.</span><span class="n">FeedForwardNet</span><span class="p">(</span><span class="n">loss</span><span class="o">.</span><span class="n">SoftmaxCrossEntropy</span><span class="p">(),</span> <span class="n">metric</span><span class="o">.</span><span class="n">Accuracy</span><span class="p">())</span> +<span class="n">net</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">layer</span><span class="o">.</span><span class="n">Conv2D</span><span class="p">(</span><span class="s1">'conv1'</span><span class="p">,</span> <span class="mi">32</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">input_sample_shape</span><span class="o">=</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span><span class="mi">32</span><span class="p">,</span><span class="mi">32</span><span class="p">,)))</span> +<span class="n">net</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">layer</span><span class="o">.</span><span class="n">Activation</span><span class="p">(</span><span class="s1">'relu1'</span><span class="p">))</span> +<span class="n">net</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">layer</span><span class="o">.</span><span class="n">MaxPooling2D</span><span class="p">(</span><span class="s1">'pool1'</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">2</span><span class="p">))</span> +<span class="n">net</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">layer</span><span class="o">.</span><span class="n">Flatten</span><span class="p">(</span><span class="s1">'flat'</span><span class="p">))</span> +<span class="n">net</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">layer</span><span class="o">.</span><span class="n">Dense</span><span class="p">(</span><span class="s1">'dense'</span><span class="p">,</span> <span class="mi">10</span><span class="p">))</span> + +<span class="c1"># init parameters</span> +<span class="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="n">net</span><span class="o">.</span><span class="n">param_values</span><span class="p">():</span> + <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">p</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span> + <span class="n">p</span><span class="o">.</span><span class="n">set_value</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span> + <span class="k">else</span><span class="p">:</span> + <span class="n">p</span><span class="o">.</span><span class="n">gaussian</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mf">0.01</span><span class="p">)</span> + +<span class="c1"># move net onto gpu</span> +<span class="n">dev</span> <span class="o">=</span> <span class="n">device</span><span class="o">.</span><span class="n">create_cuda_gpu</span><span class="p">()</span> +<span class="n">net</span><span class="o">.</span><span class="n">to_device</span><span class="p">(</span><span class="n">dev</span><span class="p">)</span> + +<span class="c1"># training (skipped)</span> + +<span class="c1"># do prediction after training</span> +<span class="n">x</span> <span class="o">=</span> <span class="n">tensor</span><span class="o">.</span><span class="n">Tensor</span><span class="p">((</span><span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">32</span><span class="p">,</span> <span class="mi">32</span><span class="p">),</span> <span class="n">dev</span><span class="p">)</span> +<span class="n">x</span><span class="o">.</span><span class="n">uniform</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span> +<span class="n">y</span> <span class="o">=</span> <span class="n">net</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">x</span><span class="p">)</span> +<span class="k">print</span> <span class="n">tensor</span><span class="o">.</span><span class="n">to_numpy</span><span class="p">(</span><span class="n">y</span><span class="p">)</span> +</pre></div> +</div> +<hr class="docutils" /> +<div class="section" id="class-singa-net-feedforwardnet-loss-none-metric-none"> +<span id="class-singa-net-feedforwardnet-loss-none-metric-none"></span><h2>class singa.net.FeedForwardNet(loss=None, metric=None)<a class="headerlink" href="#class-singa-net-feedforwardnet-loss-none-metric-none" title="Permalink to this headline">¶</a></h2> +<p>åºç±»ï¼<code class="docutils literal notranslate"><span class="pre">object</span></code></p> +<div class="section" id="to-device-dev"> +<span id="to-device-dev"></span><h3>to_device(dev)<a class="headerlink" href="#to-device-dev" title="Permalink to this headline">¶</a></h3> +<p>å°ç½ç»ç§»è³æå®è®¾å¤ä¸ï¼å æ¬ææåæ°åä¸é´æ°æ®ã</p> +</div> +<hr class="docutils" /> +<div class="section" id="add-lyr-src-none"> +<span id="add-lyr-src-none"></span><h3>add(lyr, src=None)<a class="headerlink" href="#add-lyr-src-none" title="Permalink to this headline">¶</a></h3> +<p>æ·»å ä¸ä¸ªå±å°å±å表ä¸ã</p> +<p>该åè½å°ä»srcå±è·åæ ·æ¬å½¢ç¶ä»¥è®¾ç½®æ°æ·»å çå±ã 对äºç¬¬ä¸å±ï¼å®è¢«è®¾ç½®å¨å¤é¨ã è°ç¨å½æ°åºç¡®ä¿å±é¡ºåºçæ£ç¡®æ§ã å¦æsrcæ¯Noneï¼æåä¸å±æ¯srcå±ã å¦ææå¤ä¸ªsrcå¾å±ï¼åsrcæ¯srcå±çå表ã</p> +<p><strong>åæ°ï¼</strong></p> +<ul class="simple"> +<li><strong>lyr (Layer)</strong> â å¾ æ·»å çå±</li> +<li><strong>src (Layer)</strong> â lyrå±çç¶å±</li> +</ul> +</div> +<hr class="docutils" /> +<div class="section" id="param-values"> +<span id="param-values"></span><h3>param_values()<a class="headerlink" href="#param-values" title="Permalink to this headline">¶</a></h3> +<p>è¿åææåæ°çtensorå表ã</p> +</div> +<hr class="docutils" /> +<div class="section" id="param-specs"> +<span id="param-specs"></span><h3>param_specs()<a class="headerlink" href="#param-specs" title="Permalink to this headline">¶</a></h3> +<p>è¿åææåæ°çParamSpecå表ã</p> +</div> +<hr class="docutils" /> +<div class="section" id="param-names"> +<span id="param-names"></span><h3>param_names()<a class="headerlink" href="#param-names" title="Permalink to this headline">¶</a></h3> +<p>è¿åææåæ°åå表ãã</p> +</div> +<hr class="docutils" /> +<div class="section" id="train-x-y"> +<span id="train-x-y"></span><h3>train(x, y)<a class="headerlink" href="#train-x-y" title="Permalink to this headline">¶</a></h3> +<p>è¿è¡ä¸æ¬¡BPã +ç®åä» æ¯æåè¾åºå±ãåæ失å½æ°å度éæ¹æ³çç½ç»ã TODO(wangwei) èèå¤æ失å½æ°åå¤åº¦éå¼ã</p> +<p><strong>åæ°ï¼</strong></p> +<ul class="simple"> +<li><strong>x</strong> â è¾å ¥æ°æ®ï¼ä¸ä¸ªè¾å ¥tensoræåå ¸ï¼å±å->tensor</li> +<li><strong>y</strong> â è¾å ¥æ°æ®çæ ç¾ï¼ä¸ä¸ªtensor</li> +</ul> +<p><strong>è¿åå¼ï¼</strong> åæ°æ¢¯åº¦ï¼æ失å½æ°å度éå¼</p> +</div> +<hr class="docutils" /> +<div class="section" id="evaluate-x-y"> +<span id="evaluate-x-y"></span><h3>evaluate(x, y)<a class="headerlink" href="#evaluate-x-y" title="Permalink to this headline">¶</a></h3> +<p>æ ¹æ®ç»å®æ°æ®è¯ä¼°æ失å½æ°å度éå¼ãç®åä» æ¯æåè¾åºå±ãåæ失å½æ°å度éæ¹æ³çç½ç»ãTODO(wangwei) èèå¤æ失å½æ°åå¤åº¦éå¼ã</p> +<p><strong>åæ°ï¼</strong></p> +<ul class="simple"> +<li><strong>x</strong> â è¾å ¥æ°æ®ï¼å个tensoræä¸ä¸ªåå ¸ï¼ å±å -> tensor</li> +<li><strong>y</strong> â è¾å ¥æ°æ®çæ ç¾ï¼å个tensor.</li> +</ul> +</div> +<hr class="docutils" /> +<div class="section" id="predict-x"> +<span id="predict-x"></span><h3>predict(x)<a class="headerlink" href="#predict-x" title="Permalink to this headline">¶</a></h3> +<p>ååç»æ¯ä¸ªå±ä¼ éæ°æ®å°è¾åºå±å¹¶è·å¾è¾åºå¼ã +ç®åä» æ¯æåè¾åºå±çç½ç»ã</p> +<p><strong>åæ°ï¼</strong></p> +<ul class="simple"> +<li><strong>x</strong> - è¾å ¥æ°æ®ï¼å个tesnoræä¸ä¸ªåå ¸ï¼ å±å -> tensor</li> +</ul> +<p><strong>è¿åå¼ï¼</strong> å个è¾åºtensorä½ä¸ºé¢æµç»æ</p> +</div> +<hr class="docutils" /> +<div class="section" id="topo-sort-layers-src-of-layer"> +<span id="topo-sort-layers-src-of-layer"></span><h3>topo_sort(layers, src_of_layer)<a class="headerlink" href="#topo-sort-layers-src-of-layer" title="Permalink to this headline">¶</a></h3> +<p>对ææå±è¿è¡æææåºã +对äºå¤è¾å ¥å±ï¼å°ä¼ä¿çè¾å ¥å±ç顺åºã</p> +<p><strong>åæ°ï¼</strong></p> +<ul class="simple"> +<li><strong>layers</strong> â å±å表ï¼å个å±ï¼å¦sliceå±ï¼çå¤ä¸ªè¾åºå±åºè¯¥ä»¥æ£ç¡®ç顺åºå å ¥ï¼æ¤åè½å°ä¸ä¼æ¹åå ¶é¡ºåºã</li> +<li><strong>src_of_layer</strong> â åå ¸: srcå±å -> srcå±å表</li> +</ul> +<p><strong>è¿åå¼ï¼</strong> æåºåå±å表</p> +</div> +<hr class="docutils" /> +<div class="section" id="forward-flag-x-output"> +<span id="forward-flag-x-output"></span><h3>forward(flag, x, output=[])<a class="headerlink" href="#forward-flag-x-output" title="Permalink to this headline">¶</a></h3> +<p>å°è¾å ¥ç»è¿æ¯ä¸ªå±ååä¼ éã +å¦æä¸ä¸ªå±å ·ææ¥èªå ¶ä»å±åæ¥èªxçè¾å ¥ï¼åæ¥èªxçæ°æ®å¨æ¥èªå ¶ä»å±çæ°æ®ä¹å被æåºï¼ä¾å¦ï¼å¦æå±1->å±2并ä¸x [âlayer2â]å ·ææ°æ®ï¼åè¾å ¥å±2å±å¹³ï¼å³[x [âlayer2â]ï¼å±1çè¾åº]</p> +<p><strong>åæ°ï¼</strong></p> +<ul class="simple"> +<li><strong>flag</strong> â True代表è®ç»;False代表è¯ä¼°;ä¹å¯ä»¥æ¯model_pb2.kTrainæmodel_pb2.kEvalæè å ¶ä»æªæ¥å¯è½ä½¿ç¨çå¼ã</li> +<li><strong>x</strong> â ä¸ä¸ªtensoræä¸ä¸ªåå ¸ï¼å±å -> tensor</li> +<li><strong>output(list)</strong> â å±åå表ï¼å°ä¼åé»è®¤è¾åºä¸èµ·ä½ä¸ºè¿åå¼</li> +</ul> +<p><strong>è¿åå¼ï¼</strong> å¦æåªæä¸ä¸ªè¾åºå±ï¼è¿åè¾åºtensor;å¦åè¿ååå ¸ï¼å±å->è¾åºtensor</p> +</div> +<hr class="docutils" /> +<div class="section" id="backward"> +<span id="backward"></span><h3>backward()<a class="headerlink" href="#backward" title="Permalink to this headline">¶</a></h3> +<p>è¿è¡ååä¼ é</p> +<p><strong>è¿åå¼ï¼</strong> ææåæ°ç梯度tensorå表ã</p> +</div> +<hr class="docutils" /> +<div class="section" id="save-f-buffer-size-10-use-pickle-false"> +<span id="save-f-buffer-size-10-use-pickle-false"></span><h3>save(f, buffer_size=10, use_pickle=False)<a class="headerlink" href="#save-f-buffer-size-10-use-pickle-false" title="Permalink to this headline">¶</a></h3> +<p>ç¨io/snapshotä¿å模ååæ°ã</p> +<p><strong>åæ°ï¼</strong></p> +<ul class="simple"> +<li><strong>f</strong> â æ件å</li> +<li><strong>buffer_size</strong> â è¾å ¥è¾åºç大å°(MB)ï¼é»è®¤ä¸º10MBï¼è¯·ç¡®ä¿å®æ¯ä»»ä½ä¸ä¸ªåæ°å¯¹è±¡è¦å¤§ã</li> +<li><strong>use_pickle(boolean)</strong> â å¦æ为çï¼å°ä½¿ç¨pickleä¿åï¼å¦åï¼å°ç¨protobufååºååï¼ä¼å ç¨è¾å°ç©ºé´ã</li> +</ul> +</div> +<hr class="docutils" /> +<div class="section" id="load-f-buffer-size-10-use-pickle-false"> +<span id="load-f-buffer-size-10-use-pickle-false"></span><h3>load(f, buffer_size=10, use_pickle=False)<a class="headerlink" href="#load-f-buffer-size-10-use-pickle-false" title="Permalink to this headline">¶</a></h3> +<p>ç¨io/snapshotå 载模ååæ°ã请åç §save()çåæ°æè¿°ã</p> +<hr class="docutils" /> +</div> +</div> +</div> + + + </div> + + </div> + <footer> + + <div class="rst-footer-buttons" role="navigation" aria-label="footer navigation"> + + <a href="initializer.html" class="btn btn-neutral float-right" title="åå§åå¨(Initializer)" accesskey="n" rel="next">Next <span class="fa fa-arrow-circle-right"></span></a> + + + <a href="layer.html" class="btn btn-neutral" title="å±(Layer)" accesskey="p" rel="prev"><span class="fa fa-arrow-circle-left"></span> Previous</a> + + </div> 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