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| |
| <h1 id="module-api">Module API</h1> |
| |
| <h2 id="overview">Overview</h2> |
| |
| <p>The module API, defined in the <code>module</code> (or simply <code>mod</code>) package (<code>AI::MXNet::Module</code> under the hood), provides an |
| intermediate and high-level interface for performing computation with a |
| <code>AI::MXNet::Symbol</code> or just <code>mx->sym</code>. One can roughly think a module is a machine which can execute a |
| program defined by a <code>Symbol</code>.</p> |
| |
| <p>The class <code>AI::MXNet::Module</code> is a commonly used module, which accepts a <code>AI::MXNet::Symbol</code> as |
| the input:</p> |
| <div class="highlight"><pre><code class="language-perl" data-lang="perl"><span class="nv">pdl</span><span class="o">></span> <span class="nv">$data</span> <span class="o">=</span> <span class="nv">mx</span><span class="o">-></span><span class="nv">symbol</span><span class="o">-></span><span class="nv">Variable</span><span class="p">('</span><span class="s1">data</span><span class="p">')</span> |
| <span class="nv">pdl</span><span class="o">></span> <span class="nv">$fc1</span> <span class="o">=</span> <span class="nv">mx</span><span class="o">-></span><span class="nv">symbol</span><span class="o">-></span><span class="nv">FullyConnected</span><span class="p">(</span><span class="nv">$data</span><span class="p">,</span> <span class="nv">name</span><span class="o">=></span><span class="p">'</span><span class="s1">fc1</span><span class="p">',</span> <span class="nv">num_hidden</span><span class="o">=></span><span class="mi">128</span><span class="p">)</span> |
| <span class="nv">pdl</span><span class="o">></span> <span class="nv">$act1</span> <span class="o">=</span> <span class="nv">mx</span><span class="o">-></span><span class="nv">symbol</span><span class="o">-></span><span class="nv">Activation</span><span class="p">(</span><span class="nv">$fc1</span><span class="p">,</span> <span class="nv">name</span><span class="o">=></span><span class="p">'</span><span class="s1">relu1</span><span class="p">',</span> <span class="nv">act_type</span><span class="o">=></span><span class="p">"</span><span class="s2">relu</span><span class="p">")</span> |
| <span class="nv">pdl</span><span class="o">></span> <span class="nv">$fc2</span> <span class="o">=</span> <span class="nv">mx</span><span class="o">-></span><span class="nv">symbol</span><span class="o">-></span><span class="nv">FullyConnected</span><span class="p">(</span><span class="nv">$act1</span><span class="p">,</span> <span class="nv">name</span><span class="o">=></span><span class="p">'</span><span class="s1">fc2</span><span class="p">',</span> <span class="nv">num_hidden</span><span class="o">=></span><span class="mi">10</span><span class="p">)</span> |
| <span class="nv">pdl</span><span class="o">></span> <span class="nv">$out</span> <span class="o">=</span> <span class="nv">mx</span><span class="o">-></span><span class="nv">symbol</span><span class="o">-></span><span class="nv">SoftmaxOutput</span><span class="p">(</span><span class="nv">$fc2</span><span class="p">,</span> <span class="nv">name</span> <span class="o">=></span> <span class="p">'</span><span class="s1">softmax</span><span class="p">')</span> |
| <span class="nv">pdl</span><span class="o">></span> <span class="nv">$mod</span> <span class="o">=</span> <span class="nv">mx</span><span class="o">-></span><span class="nv">mod</span><span class="o">-></span><span class="nv">Module</span><span class="p">(</span><span class="nv">$out</span><span class="p">)</span> <span class="c1"># create a module by given a Symbol</span> |
| </code></pre></div> |
| <p>Assume there is a valid MXNet data iterator <code>data</code>. We can initialize the |
| module:</p> |
| <div class="highlight"><pre><code class="language-perl" data-lang="perl"><span class="nv">pdl</span><span class="o">></span> <span class="nv">$mod</span><span class="o">-></span><span class="nb">bind</span><span class="p">(</span><span class="nv">data_shapes</span><span class="o">=></span><span class="nv">$data</span><span class="o">-></span><span class="nv">provide_data</span><span class="p">,</span> |
| <span class="nv">label_shapes</span><span class="o">=></span><span class="nv">$data</span><span class="o">-></span><span class="nv">provide_label</span><span class="p">)</span> <span class="c1"># create memory by given input shapes</span> |
| <span class="nv">pdl</span><span class="o">></span> <span class="nv">$mod</span><span class="o">-></span><span class="nv">init_params</span><span class="p">()</span> <span class="c1"># initial parameters with the default random initializer</span> |
| </code></pre></div> |
| <p>Now the module is able to compute. We can call high-level API to train and |
| predict:</p> |
| <div class="highlight"><pre><code class="language-perl" data-lang="perl"><span class="nv">pdl</span><span class="o">></span> <span class="nv">$mod</span><span class="o">-></span><span class="nv">fit</span><span class="p">(</span><span class="nv">$data</span><span class="p">,</span> <span class="nv">num_epoch</span><span class="o">=></span><span class="mi">10</span><span class="p">,</span> <span class="o">...</span><span class="p">)</span> <span class="c1"># train</span> |
| <span class="nv">pdl</span><span class="o">></span> <span class="nv">$mod</span><span class="o">-></span><span class="nv">predict</span><span class="p">(</span><span class="nv">$new_data</span><span class="p">)</span> <span class="c1"># predict on new data</span> |
| </code></pre></div> |
| <p>or use intermediate APIs to perform step-by-step computations</p> |
| <div class="highlight"><pre><code class="language-perl" data-lang="perl"><span class="nv">pdl</span><span class="o">></span> <span class="nv">$mod</span><span class="o">-></span><span class="nv">forward</span><span class="p">(</span><span class="nv">$data_batch</span><span class="p">,</span> <span class="nv">is_train</span> <span class="o">=></span> <span class="mi">1</span><span class="p">)</span> <span class="c1"># forward on the provided data batch</span> |
| <span class="nv">pdl</span><span class="o">></span> <span class="nv">$mod</span><span class="o">-></span><span class="nv">backward</span><span class="p">()</span> <span class="c1"># backward to calculate the gradients</span> |
| <span class="nv">pdl</span><span class="o">></span> <span class="nv">$mod</span><span class="o">-></span><span class="nv">update</span><span class="p">()</span> <span class="c1"># update parameters using the default optimizer</span> |
| </code></pre></div></div> |
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