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<a class="parent" href="../index.html">neox</a>
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<a class="parent" href="index.html">samples</a>
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<a href="https://github.com/labmlai/annotated_deep_learning_paper_implementations/tree/master/labml_nn/neox/samples/generate.py" target="_blank">
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View code on Github</a>
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<div class='docs doc-strings'>
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<a href='#section-0'>#</a>
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</div>
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<h1>Generate Text with GPT-NeoX</h1>
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<p>This shows how to generate text from GPT-NeoX with a single GPU.</p>
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<p>This needs a GPU with more than 45GB memory.</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">15</span><span></span></pre></div>
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</div>
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</div>
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<div class='section' id='section-1'>
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<div class='docs'>
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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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<p>Imports </p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">16</span><span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">List</span>
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<span class="lineno">17</span>
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<span class="lineno">18</span><span class="kn">import</span> <span class="nn">torch</span>
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<span class="lineno">19</span><span class="kn">from</span> <span class="nn">torch</span> <span class="kn">import</span> <span class="n">nn</span>
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<span class="lineno">20</span>
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<span class="lineno">21</span><span class="kn">from</span> <span class="nn">labml</span> <span class="kn">import</span> <span class="n">monit</span>
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<span class="lineno">22</span><span class="kn">from</span> <span class="nn">labml_nn.neox.model</span> <span class="kn">import</span> <span class="n">LayerGenerator</span>
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<span class="lineno">23</span><span class="kn">from</span> <span class="nn">labml_nn.neox.utils</span> <span class="kn">import</span> <span class="n">get_tokens</span><span class="p">,</span> <span class="n">print_tokens</span>
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<span class="lineno">24</span><span class="kn">from</span> <span class="nn">labml_nn.neox.utils.cache</span> <span class="kn">import</span> <span class="n">get_cache</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-2'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-2'>#</a>
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</div>
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<p>List of layers to load. This is used for testing. You can assign a subset of layers like <code class="highlight"><span></span><span class="p">{</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">}</span></code>
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so that it only loads the first to transformer layers. </p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">29</span><span class="n">LAYERS</span> <span class="o">=</span> <span class="kc">None</span></pre></div>
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</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>Prompt to complete </p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">32</span><span class="n">PROMPT</span> <span class="o">=</span> <span class="s1">'Einstein was born in the German Empire, but moved to Switzerland in 1895, forsaking his German'</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-4'>
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<div class='docs doc-strings'>
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<div class='section-link'>
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<a href='#section-4'>#</a>
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</div>
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<h3>Predict the next token</h3>
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<ul><li><code class="highlight"><span></span><span class="n">model</span></code>
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is the model </li>
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<li><code class="highlight"><span></span><span class="n">ids</span></code>
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are the input token ids </li>
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<li><code class="highlight"><span></span><span class="n">device</span></code>
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is the device of the model</li></ul>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">35</span><span class="k">def</span> <span class="nf">infer</span><span class="p">(</span><span class="n">model</span><span class="p">:</span> <span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">,</span> <span class="n">ids</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span> <span class="n">device</span><span class="p">:</span> <span class="n">torch</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-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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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">44</span> <span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</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-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>Get the tokens </p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">46</span> <span class="n">x</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">tensor</span><span class="p">(</span><span class="n">ids</span><span class="p">)[</span><span class="kc">None</span><span class="p">,</span> <span class="p">:]</span><span class="o">.</span><span class="n">to</span><span class="p">(</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-7'>
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<div class='docs'>
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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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<p>Eval 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="n">x</span> <span class="o">=</span> <span class="n">model</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>
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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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<p>Return predicted 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">51</span> <span class="k">return</span> <span class="n">x</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">dim</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="o">.</span><span class="n">tolist</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-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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<h2>Generate text</h2>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">54</span><span class="k">def</span> <span class="nf">generate</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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<p>Setup <a href="../utils/cache.html">cache</a> to cache intermediate key/value pairs for faster generation </p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">60</span> <span class="n">cache</span> <span class="o">=</span> <span class="n">get_cache</span><span class="p">()</span>
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<span class="lineno">61</span> <span class="n">cache</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="s1">'use_cache'</span><span class="p">,</span> <span class="kc">True</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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<p>Device </p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">64</span> <span class="n">device</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">device</span><span class="p">(</span><span class="s1">'cuda:0'</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>Load layers </p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">67</span> <span class="n">layers</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">LayerGenerator</span><span class="p">(</span><span class="n">is_clone_layers</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
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<span class="lineno">68</span> <span class="n">filter_layers</span><span class="o">=</span><span class="n">LAYERS</span><span class="p">,</span>
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<span class="lineno">69</span> <span class="n">dtype</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">float16</span><span class="p">,</span>
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<span class="lineno">70</span> <span class="n">device</span><span class="o">=</span><span class="n">device</span><span class="p">,</span>
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<span class="lineno">71</span> <span class="p">)</span><span class="o">.</span><span class="n">load</span><span class="p">())</span>
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<span class="lineno">72</span>
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<span class="lineno">73</span> <span class="n">model</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Sequential</span><span class="p">(</span><span class="o">*</span><span class="n">layers</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>Get token ids </p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">76</span> <span class="n">ids</span> <span class="o">=</span> <span class="n">get_tokens</span><span class="p">(</span><span class="n">PROMPT</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>Run the 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">79</span> <span class="n">cache</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="s1">'state_ids'</span><span class="p">,</span> <span class="p">(</span><span class="kc">None</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span>
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<span class="lineno">80</span> <span class="k">with</span> <span class="n">monit</span><span class="o">.</span><span class="n">section</span><span class="p">(</span><span class="s1">'Infer'</span><span class="p">):</span>
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<span class="lineno">81</span> <span class="n">next_token</span> <span class="o">=</span> <span class="n">infer</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">ids</span><span class="p">,</span> <span class="n">device</span><span class="p">)[</span><span class="o">-</span><span class="mi">1</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>Append the predicted 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">84</span> <span class="n">ids</span> <span class="o">+=</span> <span class="p">[</span><span class="n">next_token</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>Predict 100 tokens </p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">87</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">100</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>Set the state to use cached activations </p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">89</span> <span class="n">cache</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="s1">'state_ids'</span><span class="p">,</span> <span class="p">(</span><span class="n">i</span><span class="p">,</span> <span class="n">i</span> <span class="o">+</span> <span class="mi">1</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>Get next token. Note that we only feed the last token to the model because we cache the key/value pairs of previous tokens. </p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">92</span> <span class="k">with</span> <span class="n">monit</span><span class="o">.</span><span class="n">section</span><span class="p">(</span><span class="s1">'Infer'</span><span class="p">):</span>
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<span class="lineno">93</span> <span class="n">next_token</span> <span class="o">=</span> <span class="n">infer</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="p">[</span><span class="n">next_token</span><span class="p">],</span> <span class="n">device</span><span class="p">)[</span><span class="o">-</span><span class="mi">1</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-19'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-19'>#</a>
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</div>
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<p>Append the predicted token </p>
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</div>
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<div class="highlight"><pre><span class="lineno">95</span> <span class="n">ids</span> <span class="o">+=</span> <span class="p">[</span><span class="n">next_token</span><span class="p">]</span></pre></div>
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<p>Print </p>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">97</span> <span class="n">print_tokens</span><span class="p">(</span><span class="n">ids</span><span class="p">,</span> <span class="p">[</span><span class="n">ids</span><span class="p">])</span></pre></div>
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<p> </p>
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<div class='code'>
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<div class="highlight"><pre><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">generate</span><span class="p">()</span></pre></div>
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