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@seanmor5
seanmor5 committed May 14, 2024
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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 @@ -220,7 +220,7 @@ <h1 class="signature" translate="no">as_graph(axon, input_templates, opts \\ [])
</a>
<span class="text">Examples</span>
</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="4980706021-1">(</span><span class="s">&quot;input&quot;</span><span class="p" data-group-id="4980706021-1">)</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="4980706021-2">(</span><span class="mi">32</span><span class="p" data-group-id="4980706021-2">)</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="2987223471-1">(</span><span class="p" data-group-id="2987223471-2">{</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="2987223471-2">}</span><span class="p">,</span><span class="w"> </span><span class="ss">:f32</span><span class="p" data-group-id="2987223471-1">)</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="6256905915-1">(</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="6256905915-1">)</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="8702107651-1">(</span><span class="s">&quot;input&quot;</span><span class="p" data-group-id="8702107651-1">)</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="8702107651-2">(</span><span class="mi">32</span><span class="p" data-group-id="8702107651-2">)</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="2049912893-1">(</span><span class="p" data-group-id="2049912893-2">{</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="2049912893-2">}</span><span class="p">,</span><span class="w"> </span><span class="ss">:f32</span><span class="p" data-group-id="2049912893-1">)</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="6826191063-1">(</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="6826191063-1">)</span></code></pre>
</section>
</section>
<section class="detail" id="as_table/2">
Expand Down Expand Up @@ -250,7 +250,7 @@ <h1 class="signature" translate="no">as_table(axon, input_templates)</h1>
</a>
<span class="text">Examples</span>
</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="8344342680-1">(</span><span class="s">&quot;input&quot;</span><span class="p" data-group-id="8344342680-1">)</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="8344342680-2">(</span><span class="mi">32</span><span class="p" data-group-id="8344342680-2">)</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="6498483357-1">(</span><span class="p" data-group-id="6498483357-2">{</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="6498483357-2">}</span><span class="p">,</span><span class="w"> </span><span class="ss">:f32</span><span class="p" data-group-id="6498483357-1">)</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="9604835242-1">(</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="9604835242-1">)</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="8865595854-1">(</span><span class="s">&quot;input&quot;</span><span class="p" data-group-id="8865595854-1">)</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="8865595854-2">(</span><span class="mi">32</span><span class="p" data-group-id="8865595854-2">)</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="6464641089-1">(</span><span class="p" data-group-id="6464641089-2">{</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="6464641089-2">}</span><span class="p">,</span><span class="w"> </span><span class="ss">:f32</span><span class="p" data-group-id="6464641089-1">)</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="5654811777-1">(</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="5654811777-1">)</span></code></pre>
</section>
</section>

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