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    <li>Design Doc: Remote Parameter Updater for Cluster Train</li>
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  <div class="section" id="design-doc-remote-parameter-updater-for-cluster-train">
<span id="design-doc-remote-parameter-updater-for-cluster-train"></span><h1>Design Doc: Remote Parameter Updater for Cluster Train<a class="headerlink" href="#design-doc-remote-parameter-updater-for-cluster-train" title="永久链接至标题"></a></h1>
<p>For an overview of distribute training, please refer to <a class="reference internal" href="README.html"><span class="doc">distributed training design doc</span></a>. In this design doc, we will discuss the parameter updater that will use parameter server cclient <a class="reference internal" href="pserver_client.html"><span class="doc">The Client Library of Parameter Server Design Doc</span></a> to manage and update parameters.</p>
<div class="section" id="parameter-updater">
<span id="parameter-updater"></span><h2>Parameter Updater<a class="headerlink" href="#parameter-updater" title="永久链接至标题"></a></h2>
<p>Parameter Updater is used by trainer to manage and update parameter, there are mainly two kind of parameter updater: local and remote, since this design is for cluster train, we will only discuss remote parameter updater here.</p>
<div class="section" id="remote-parameter-updater">
<span id="remote-parameter-updater"></span><h3>Remote Parameter Updater<a class="headerlink" href="#remote-parameter-updater" title="永久链接至标题"></a></h3>
<p>Remote Parameter Updater manage parameters through remote parameter server with the client that communicate with pserver(<a class="reference internal" href="pserver_client.html"><span class="doc">The Client Library of Parameter Server Design Doc</span></a>)</p>
<p>In PaddlePaddle Python V2 API, trainer is implemented in python, and the trainer will hold a instance of parameter updater and call it&#8217;s functions directly. In this design, we will also expose the api of RemoteParameterUpdater to python with swig.</p>
<div class="section" id="sparse-remote-parameter-updater">
<span id="sparse-remote-parameter-updater"></span><h4>Sparse Remote Parameter Updater<a class="headerlink" href="#sparse-remote-parameter-updater" title="永久链接至标题"></a></h4>
<p>Since we will only implement dense parameter management new, the mechanism for sparse parameter will be discussed in next stage.</p>
</div>
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<div class="section" id="interface-design">
<span id="interface-design"></span><h3>Interface Design<a class="headerlink" href="#interface-design" title="永久链接至标题"></a></h3>
<p>TBD</p>
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