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seanmor5 committed Jun 2, 2023
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640 changes: 320 additions & 320 deletions Axon.Activations.html
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4 changes: 2 additions & 2 deletions Axon.Display.html
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Expand Up @@ -201,7 +201,7 @@ <h1 class="signature" translate="no">as_graph(axon, input_templates, opts \\ [])
</a>
Examples
</h2>
<p>Given an Axon model:</p><pre><code class="makeup elixir" translate="no"><span class="n">model</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="nc">Axon</span><span class="o">.</span><span class="n">input</span><span class="p" data-group-id="0080557808-1">(</span><span class="s">&quot;input&quot;</span><span class="p" data-group-id="0080557808-1">)</span><span class="w"> </span><span class="o">|&gt;</span><span class="w"> </span><span class="nc">Axon</span><span class="o">.</span><span class="n">dense</span><span class="p" data-group-id="0080557808-2">(</span><span class="mi">32</span><span class="p" data-group-id="0080557808-2">)</span></code></pre><p>You can define input templates for each input:</p><pre><code class="makeup elixir" translate="no"><span class="n">input</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="nc">Nx</span><span class="o">.</span><span class="n">template</span><span class="p" data-group-id="2631469501-1">(</span><span class="p" data-group-id="2631469501-2">{</span><span class="mi">1</span><span class="p">,</span><span class="w"> </span><span class="mi">16</span><span class="p" data-group-id="2631469501-2">}</span><span class="p">,</span><span class="w"> </span><span class="ss">:f32</span><span class="p" data-group-id="2631469501-1">)</span></code></pre><p>And then display the execution flow of the model:</p><pre><code class="makeup elixir" translate="no"><span class="nc">Axon.Display</span><span class="o">.</span><span class="n">as_graph</span><span class="p" data-group-id="3883482058-1">(</span><span class="n">model</span><span class="p">,</span><span class="w"> </span><span class="n">input</span><span class="p">,</span><span class="w"> </span><span class="ss">direction</span><span class="p">:</span><span class="w"> </span><span class="ss">:top_down</span><span class="p" data-group-id="3883482058-1">)</span></code></pre>
<p>Given an Axon model:</p><pre><code class="makeup elixir" translate="no"><span class="n">model</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="nc">Axon</span><span class="o">.</span><span class="n">input</span><span class="p" data-group-id="5774193009-1">(</span><span class="s">&quot;input&quot;</span><span class="p" data-group-id="5774193009-1">)</span><span class="w"> </span><span class="o">|&gt;</span><span class="w"> </span><span class="nc">Axon</span><span class="o">.</span><span class="n">dense</span><span class="p" data-group-id="5774193009-2">(</span><span class="mi">32</span><span class="p" data-group-id="5774193009-2">)</span></code></pre><p>You can define input templates for each input:</p><pre><code class="makeup elixir" translate="no"><span class="n">input</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="nc">Nx</span><span class="o">.</span><span class="n">template</span><span class="p" data-group-id="6077101126-1">(</span><span class="p" data-group-id="6077101126-2">{</span><span class="mi">1</span><span class="p">,</span><span class="w"> </span><span class="mi">16</span><span class="p" data-group-id="6077101126-2">}</span><span class="p">,</span><span class="w"> </span><span class="ss">:f32</span><span class="p" data-group-id="6077101126-1">)</span></code></pre><p>And then display the execution flow of the model:</p><pre><code class="makeup elixir" translate="no"><span class="nc">Axon.Display</span><span class="o">.</span><span class="n">as_graph</span><span class="p" data-group-id="7452166378-1">(</span><span class="n">model</span><span class="p">,</span><span class="w"> </span><span class="n">input</span><span class="p">,</span><span class="w"> </span><span class="ss">direction</span><span class="p">:</span><span class="w"> </span><span class="ss">:top_down</span><span class="p" data-group-id="7452166378-1">)</span></code></pre>
</section>
</section>
<section class="detail" id="as_table/2">
Expand Down Expand Up @@ -231,7 +231,7 @@ <h1 class="signature" translate="no">as_table(axon, input_templates)</h1>
</a>
Examples
</h2>
<p>Given an Axon model:</p><pre><code class="makeup elixir" translate="no"><span class="n">model</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="nc">Axon</span><span class="o">.</span><span class="n">input</span><span class="p" data-group-id="4815088086-1">(</span><span class="s">&quot;input&quot;</span><span class="p" data-group-id="4815088086-1">)</span><span class="w"> </span><span class="o">|&gt;</span><span class="w"> </span><span class="nc">Axon</span><span class="o">.</span><span class="n">dense</span><span class="p" data-group-id="4815088086-2">(</span><span class="mi">32</span><span class="p" data-group-id="4815088086-2">)</span></code></pre><p>You can define input templates for each input:</p><pre><code class="makeup elixir" translate="no"><span class="n">input</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="nc">Nx</span><span class="o">.</span><span class="n">template</span><span class="p" data-group-id="8842129319-1">(</span><span class="p" data-group-id="8842129319-2">{</span><span class="mi">1</span><span class="p">,</span><span class="w"> </span><span class="mi">16</span><span class="p" data-group-id="8842129319-2">}</span><span class="p">,</span><span class="w"> </span><span class="ss">:f32</span><span class="p" data-group-id="8842129319-1">)</span></code></pre><p>And then display the execution flow of the model:</p><pre><code class="makeup elixir" translate="no"><span class="nc">Axon.Display</span><span class="o">.</span><span class="n">as_table</span><span class="p" data-group-id="8558458179-1">(</span><span class="n">model</span><span class="p">,</span><span class="w"> </span><span class="n">input</span><span class="p" data-group-id="8558458179-1">)</span></code></pre>
<p>Given an Axon model:</p><pre><code class="makeup elixir" translate="no"><span class="n">model</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="nc">Axon</span><span class="o">.</span><span class="n">input</span><span class="p" data-group-id="7450848492-1">(</span><span class="s">&quot;input&quot;</span><span class="p" data-group-id="7450848492-1">)</span><span class="w"> </span><span class="o">|&gt;</span><span class="w"> </span><span class="nc">Axon</span><span class="o">.</span><span class="n">dense</span><span class="p" data-group-id="7450848492-2">(</span><span class="mi">32</span><span class="p" data-group-id="7450848492-2">)</span></code></pre><p>You can define input templates for each input:</p><pre><code class="makeup elixir" translate="no"><span class="n">input</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="nc">Nx</span><span class="o">.</span><span class="n">template</span><span class="p" data-group-id="2892429471-1">(</span><span class="p" data-group-id="2892429471-2">{</span><span class="mi">1</span><span class="p">,</span><span class="w"> </span><span class="mi">16</span><span class="p" data-group-id="2892429471-2">}</span><span class="p">,</span><span class="w"> </span><span class="ss">:f32</span><span class="p" data-group-id="2892429471-1">)</span></code></pre><p>And then display the execution flow of the model:</p><pre><code class="makeup elixir" translate="no"><span class="nc">Axon.Display</span><span class="o">.</span><span class="n">as_table</span><span class="p" data-group-id="5005926786-1">(</span><span class="n">model</span><span class="p">,</span><span class="w"> </span><span class="n">input</span><span class="p" data-group-id="5005926786-1">)</span></code></pre>
</section>
</section>

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