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<div class="highlight"><pre><span class="lineno">1</span><span></span><span class="kn">import</span> <span class="nn">torch</span>
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<span class="lineno">2</span><span class="kn">import</span> <span class="nn">torch.nn</span> <span class="k">as</span> <span class="nn">nn</span>
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<span class="lineno">3</span><span class="kn">from</span> <span class="nn">labml</span> <span class="kn">import</span> <span class="n">experiment</span>
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<span class="lineno">4</span><span class="kn">from</span> <span class="nn">labml.configs</span> <span class="kn">import</span> <span class="n">option</span>
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<span class="lineno">5</span><span class="kn">from</span> <span class="nn">labml.utils.pytorch</span> <span class="kn">import</span> <span class="n">get_modules</span>
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<span class="lineno">6</span><span class="kn">from</span> <span class="nn">labml_helpers.module</span> <span class="kn">import</span> <span class="n">Module</span>
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<span class="lineno">7</span>
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<span class="lineno">8</span><span class="kn">from</span> <span class="nn">labml_nn.experiments.nlp_autoregression</span> <span class="kn">import</span> <span class="n">NLPAutoRegressionConfigs</span>
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<span class="lineno">9</span><span class="kn">from</span> <span class="nn">labml_nn.hypernetworks.hyper_lstm</span> <span class="kn">import</span> <span class="n">HyperLSTM</span>
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<span class="lineno">10</span><span class="kn">from</span> <span class="nn">labml_nn.lstm</span> <span class="kn">import</span> <span class="n">LSTM</span></pre></div>
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<div class='section' id='section-1'>
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<div class='docs doc-strings'>
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<div class='section-link'>
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<a href='#section-1'>#</a>
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</div>
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<h2>Auto regressive model</h2>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">13</span><span class="k">class</span> <span class="nc">AutoregressiveModel</span><span class="p">(</span><span class="n">Module</span><span class="p">):</span></pre></div>
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<a href='#section-2'>#</a>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">18</span> <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">n_vocab</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">d_model</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">rnn_model</span><span class="p">:</span> <span class="n">Module</span><span class="p">):</span>
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<span class="lineno">19</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span></pre></div>
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</div>
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<div class='section' id='section-3'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-3'>#</a>
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</div>
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<p>Token embedding module</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">21</span> <span class="bp">self</span><span class="o">.</span><span class="n">src_embed</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Embedding</span><span class="p">(</span><span class="n">n_vocab</span><span class="p">,</span> <span class="n">d_model</span><span class="p">)</span>
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<span class="lineno">22</span> <span class="bp">self</span><span class="o">.</span><span class="n">lstm</span> <span class="o">=</span> <span class="n">rnn_model</span>
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<span class="lineno">23</span> <span class="bp">self</span><span class="o">.</span><span class="n">generator</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="n">d_model</span><span class="p">,</span> <span class="n">n_vocab</span><span class="p">)</span></pre></div>
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<div class='section' id='section-4'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-4'>#</a>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">25</span> <span class="k">def</span> <span class="fm">__call__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">):</span>
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<span class="lineno">26</span> <span class="n">x</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">src_embed</span><span class="p">(</span><span class="n">x</span><span class="p">)</span></pre></div>
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</div>
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<div class='section' id='section-5'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-5'>#</a>
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</div>
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<p>Embed the tokens (<code>src</code>) and run it through the the transformer</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">28</span> <span class="n">res</span><span class="p">,</span> <span class="n">state</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">lstm</span><span class="p">(</span><span class="n">x</span><span class="p">)</span></pre></div>
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</div>
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<div class='section' id='section-6'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-6'>#</a>
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</div>
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<p>Generate logits of the next token</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">30</span> <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">generator</span><span class="p">(</span><span class="n">res</span><span class="p">),</span> <span class="n">state</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-7'>
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<div class='docs doc-strings'>
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<div class='section-link'>
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<a href='#section-7'>#</a>
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</div>
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<h2>Configurations</h2>
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<p>The default configs can and will be over-ridden when we start the experiment</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">33</span><span class="k">class</span> <span class="nc">Configs</span><span class="p">(</span><span class="n">NLPAutoRegressionConfigs</span><span class="p">):</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-8'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-8'>#</a>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">40</span> <span class="n">model</span><span class="p">:</span> <span class="n">AutoregressiveModel</span>
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<span class="lineno">41</span> <span class="n">rnn_model</span><span class="p">:</span> <span class="n">Module</span>
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<span class="lineno">42</span>
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<span class="lineno">43</span> <span class="n">d_model</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">512</span>
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<span class="lineno">44</span> <span class="n">n_rhn</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">16</span>
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<span class="lineno">45</span> <span class="n">n_z</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">16</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-9'>
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<div class='docs doc-strings'>
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<div class='section-link'>
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<a href='#section-9'>#</a>
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</div>
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<p>Initialize the auto-regressive model</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">48</span><span class="nd">@option</span><span class="p">(</span><span class="n">Configs</span><span class="o">.</span><span class="n">model</span><span class="p">)</span>
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<span class="lineno">49</span><span class="k">def</span> <span class="nf">autoregressive_model</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">Configs</span><span class="p">):</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-10'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-10'>#</a>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">53</span> <span class="n">m</span> <span class="o">=</span> <span class="n">AutoregressiveModel</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">n_tokens</span><span class="p">,</span> <span class="n">c</span><span class="o">.</span><span class="n">d_model</span><span class="p">,</span> <span class="n">c</span><span class="o">.</span><span class="n">rnn_model</span><span class="p">)</span>
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<span class="lineno">54</span> <span class="k">return</span> <span class="n">m</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">device</span><span class="p">)</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-11'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-11'>#</a>
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</div>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">57</span><span class="nd">@option</span><span class="p">(</span><span class="n">Configs</span><span class="o">.</span><span class="n">rnn_model</span><span class="p">)</span>
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<span class="lineno">58</span><span class="k">def</span> <span class="nf">hyper_lstm</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">Configs</span><span class="p">):</span>
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<span class="lineno">59</span> <span class="k">return</span> <span class="n">HyperLSTM</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">d_model</span><span class="p">,</span> <span class="n">c</span><span class="o">.</span><span class="n">d_model</span><span class="p">,</span> <span class="n">c</span><span class="o">.</span><span class="n">n_rhn</span><span class="p">,</span> <span class="n">c</span><span class="o">.</span><span class="n">n_z</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
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<span class="lineno">60</span>
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<span class="lineno">61</span>
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<span class="lineno">62</span><span class="nd">@option</span><span class="p">(</span><span class="n">Configs</span><span class="o">.</span><span class="n">rnn_model</span><span class="p">)</span>
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<span class="lineno">63</span><span class="k">def</span> <span class="nf">lstm</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">Configs</span><span class="p">):</span>
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<span class="lineno">64</span> <span class="k">return</span> <span class="n">LSTM</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">d_model</span><span class="p">,</span> <span class="n">c</span><span class="o">.</span><span class="n">d_model</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
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<span class="lineno">65</span>
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<span class="lineno">66</span>
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<span class="lineno">67</span><span class="k">def</span> <span class="nf">main</span><span class="p">():</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-12'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-12'>#</a>
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</div>
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<p>Create experiment</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">69</span> <span class="n">experiment</span><span class="o">.</span><span class="n">create</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s2">"hyper_lstm"</span><span class="p">,</span> <span class="n">comment</span><span class="o">=</span><span class="s1">''</span><span class="p">)</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-13'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-13'>#</a>
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</div>
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<p>Create configs</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">71</span> <span class="n">conf</span> <span class="o">=</span> <span class="n">Configs</span><span class="p">()</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-14'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-14'>#</a>
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</div>
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<p>Load configurations</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">73</span> <span class="n">experiment</span><span class="o">.</span><span class="n">configs</span><span class="p">(</span><span class="n">conf</span><span class="p">,</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-15'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-15'>#</a>
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</div>
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<p>A dictionary of configurations to override</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">75</span> <span class="p">{</span><span class="s1">'tokenizer'</span><span class="p">:</span> <span class="s1">'character'</span><span class="p">,</span>
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<span class="lineno">76</span> <span class="s1">'text'</span><span class="p">:</span> <span class="s1">'tiny_shakespeare'</span><span class="p">,</span>
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<span class="lineno">77</span> <span class="s1">'optimizer.learning_rate'</span><span class="p">:</span> <span class="mf">2.5e-4</span><span class="p">,</span>
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<span class="lineno">78</span> <span class="s1">'optimizer.optimizer'</span><span class="p">:</span> <span class="s1">'Adam'</span><span class="p">,</span>
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<span class="lineno">79</span> <span class="s1">'prompt'</span><span class="p">:</span> <span class="s1">'It is'</span><span class="p">,</span>
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<span class="lineno">80</span> <span class="s1">'prompt_separator'</span><span class="p">:</span> <span class="s1">''</span><span class="p">,</span>
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<span class="lineno">81</span>
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<span class="lineno">82</span> <span class="s1">'rnn_model'</span><span class="p">:</span> <span class="s1">'hyper_lstm'</span><span class="p">,</span>
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<span class="lineno">83</span>
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<span class="lineno">84</span> <span class="s1">'train_loader'</span><span class="p">:</span> <span class="s1">'shuffled_train_loader'</span><span class="p">,</span>
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<span class="lineno">85</span> <span class="s1">'valid_loader'</span><span class="p">:</span> <span class="s1">'shuffled_valid_loader'</span><span class="p">,</span>
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<span class="lineno">86</span>
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<span class="lineno">87</span> <span class="s1">'seq_len'</span><span class="p">:</span> <span class="mi">512</span><span class="p">,</span>
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<span class="lineno">88</span> <span class="s1">'epochs'</span><span class="p">:</span> <span class="mi">128</span><span class="p">,</span>
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<span class="lineno">89</span> <span class="s1">'batch_size'</span><span class="p">:</span> <span class="mi">2</span><span class="p">,</span>
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<span class="lineno">90</span> <span class="s1">'inner_iterations'</span><span class="p">:</span> <span class="mi">25</span><span class="p">})</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-16'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-16'>#</a>
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</div>
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<p>Set models for saving and loading</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">93</span> <span class="n">experiment</span><span class="o">.</span><span class="n">add_pytorch_models</span><span class="p">(</span><span class="n">get_modules</span><span class="p">(</span><span class="n">conf</span><span class="p">))</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-17'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-17'>#</a>
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</div>
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<p>Start the experiment</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">96</span> <span class="k">with</span> <span class="n">experiment</span><span class="o">.</span><span class="n">start</span><span class="p">():</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-18'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-18'>#</a>
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</div>
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<p><code>TrainValidConfigs.run</code></p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">98</span> <span class="n">conf</span><span class="o">.</span><span class="n">run</span><span class="p">()</span>
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<span class="lineno">99</span>
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<span class="lineno">100</span>
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<span class="lineno">101</span><span class="k">if</span> <span class="vm">__name__</span> <span class="o">==</span> <span class="s1">'__main__'</span><span class="p">:</span>
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<span class="lineno">102</span> <span class="n">main</span><span class="p">()</span></pre></div>
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