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<a href="https://github.com/labmlai/annotated_deep_learning_paper_implementations/tree/master/labml_nn/sampling/__init__.py" target="_blank">
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View code on Github</a>
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<a href='#section-0'>#</a>
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<h1>Sampling Techniques for Language Models</h1>
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<ul><li><a href="greedy.html">Greedy Sampling</a> </li>
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<li><a href="temperature.html">Temperature Sampling</a> </li>
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<li><a href="top_k.html">Top-k Sampling</a> </li>
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<li><a href="nucleus.html">Nucleus Sampling</a></li></ul>
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<p>Here's an <a href="experiment.html">experiment</a> that uses these sampling techniques.</p>
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<div class="highlight"><pre><span class="lineno">18</span><span></span><span class="kn">import</span> <span class="nn">torch</span></pre></div>
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<a href='#section-1'>#</a>
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<h3>Sampler base class</h3>
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<div class="highlight"><pre><span class="lineno">21</span><span class="k">class</span> <span class="nc">Sampler</span><span class="p">:</span></pre></div>
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<a href='#section-2'>#</a>
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<h3>Sample from logits</h3>
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<ul><li><code class="highlight"><span></span><span class="n">logits</span></code>
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are the logits of the distribution of shape <code class="highlight"><span></span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">n_tokens</span><span class="p">]</span></code>
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</li></ul>
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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">logits</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">)</span> <span class="o">-></span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">:</span></pre></div>
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<div class="highlight"><pre><span class="lineno">31</span> <span class="k">raise</span> <span class="ne">NotImplementedError</span><span class="p">()</span></pre></div>
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