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<a href="https://github.com/labmlai/annotated_deep_learning_paper_implementations/tree/master/labml_nn/sampling/greedy.py" target="_blank">
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View code on Github</a>
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<h1>කෑදරනියැදීම</h1>
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<p>මෙන්නඅපි පිවිසුම් බෙදා හැරීමෙන් බොහෝ දුරට ටෝකනය නියැදි කරමු. </p>
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<p>මෙන්නමෙම නියැදි ශිල්පීය ක්රම භාවිතා කරන <a href="experiment.html">අත්හදා බැලීමක්</a> . </p>
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<div class="highlight"><pre><span class="lineno">14</span><span></span><span class="kn">import</span> <span class="nn">torch</span>
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<span class="lineno">15</span>
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<span class="lineno">16</span><span class="kn">from</span> <span class="nn">labml_nn.sampling</span> <span class="kn">import</span> <span class="n">Sampler</span></pre></div>
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<div class="highlight"><pre><span class="lineno">19</span><span class="k">class</span> <span class="nc">GreedySampler</span><span class="p">(</span><span class="n">Sampler</span><span class="p">):</span></pre></div>
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<p> පිවිසුම්බෙදා හැරීමෙන් බොහෝ දුරට ටෝකනය නියැදි කරන්න</p>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">20</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></pre></div>
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<div class="highlight"><pre><span class="lineno">24</span> <span class="k">return</span> <span class="n">logits</span><span class="o">.</span><span class="n">argmax</span><span class="p">(</span><span class="n">dim</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span></pre></div>
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