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Axon.Display.html

@@ -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="5071083790-1">(</span><span class="s">&quot;input&quot;</span><span class="p" data-group-id="5071083790-1">)</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="5071083790-2">(</span><span class="mi">32</span><span class="p" data-group-id="5071083790-2">)</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="3431810537-1">(</span><span class="p" data-group-id="3431810537-2">{</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="3431810537-2">}</span><span class="p">,</span><span class="w"> </span><span class="ss">:f32</span><span class="p" data-group-id="3431810537-1">)</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="2511402044-1">(</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="2511402044-1">)</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="0920554009-1">(</span><span class="s">&quot;input&quot;</span><span class="p" data-group-id="0920554009-1">)</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="0920554009-2">(</span><span class="mi">32</span><span class="p" data-group-id="0920554009-2">)</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="0365692999-1">(</span><span class="p" data-group-id="0365692999-2">{</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="0365692999-2">}</span><span class="p">,</span><span class="w"> </span><span class="ss">:f32</span><span class="p" data-group-id="0365692999-1">)</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="1654239232-1">(</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="1654239232-1">)</span></code></pre>
   </section>
 </section>
 <section class="detail" id="as_table/2">
@@ -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="1780873521-1">(</span><span class="s">&quot;input&quot;</span><span class="p" data-group-id="1780873521-1">)</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="1780873521-2">(</span><span class="mi">32</span><span class="p" data-group-id="1780873521-2">)</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="0722128849-1">(</span><span class="p" data-group-id="0722128849-2">{</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="0722128849-2">}</span><span class="p">,</span><span class="w"> </span><span class="ss">:f32</span><span class="p" data-group-id="0722128849-1">)</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="9037597489-1">(</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="9037597489-1">)</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="9010506079-1">(</span><span class="s">&quot;input&quot;</span><span class="p" data-group-id="9010506079-1">)</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="9010506079-2">(</span><span class="mi">32</span><span class="p" data-group-id="9010506079-2">)</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="5359343991-1">(</span><span class="p" data-group-id="5359343991-2">{</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="5359343991-2">}</span><span class="p">,</span><span class="w"> </span><span class="ss">:f32</span><span class="p" data-group-id="5359343991-1">)</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="4085715880-1">(</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="4085715880-1">)</span></code></pre>
   </section>
 </section>